Anna Kakehashi | Medicine and Dentistry | Best Researcher Award

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Assoc.Prof.Dr.Anna Kakehashi | Medicine and Dentistry | Best Researcher Award 

Ph.D., D.M.Sc. at Osaka Metropolitan University Graduate School of Medicine, Japan.

Dr. Anna Kakehashi is a distinguished molecular pathologist and cancer researcher with over two decades of experience in the field of experimental pathology, chemical carcinogenesis, and biomarker discovery. As an Associate Professor at the Graduate School of Medicine, Osaka Metropolitan University, Japan, she has built a formidable career focusing on the mechanisms of liver and pancreatic carcinogenesis, with an emphasis on oxidative stress, DNA damage, and molecular diagnostics. Dr. Kakehashi is widely respected for her scientific rigor, international collaborations, and contributions to cancer prevention and public health research.

Profile:

🎓 Educational Background:

Dr. Kakehashi began her academic journey at St. Petersburg State University, Russia, where she earned her Master of Science in Biology (Biochemistry) in 1995. She later pursued doctoral research at Osaka City University, Japan, obtaining her Ph.D. in Medical Science in 2003. Her multidisciplinary education in biochemistry and medical science laid a strong foundation for her path-breaking research in toxicologic and molecular pathology.

💼 Professional Experience:

Starting her postdoctoral career in 2003, Dr. Kakehashi progressed from a research fellow to an assistant professor, and eventually to her current position as Associate Professor. She has held various key roles at Osaka City University (now Osaka Metropolitan University), contributing to research in pathology and mentoring graduate students. Her academic service includes editorial roles for journals like Cancers (MDPI) and Journal of Medical Laboratory Science.

🧪 Research Interests:

Dr. Kakehashi’s research revolves around the molecular mechanisms of chemical and viral carcinogenesis, particularly in liver (MAFLD/MASH and HCC) and pancreatic cancer. Her expertise includes the identification of novel biomarkers, risk assessment of chemical agents, proteomic and metabolomic profiling, and studying the role of oxidative stress and DNA repair in cancer progression. She is especially noted for her work on the hormesis phenomenon and the evaluation of environmental carcinogens.

🏅 Awards and Honors:

Dr. Kakehashi has been recognized with numerous prestigious awards. These include the Princess Takamatsu Cancer Research Fund Award (2022), the Osaka City Medical Association Award (2018), and the Dean’s Award for Excellence from Osaka City University School of Medicine. Her early-career brilliance was acknowledged through the Japanese Society of Toxicology Young Researcher Award and Toxicological Pathology Presentation Award. These accolades affirm her scientific contributions and leadership in cancer research.

🤝 Collaborations and Affiliations:

Dr. Kakehashi is a proactive collaborator, having worked with institutions in Thailand, Russia, and the USA, including St. Petersburg State University and LyondellBasell Industries. In Japan, she has collaborated with numerous university departments and research institutes on carcinogenesis, biomarker discovery, and nanomaterial safety. She is also a longstanding member and councillor of multiple scientific societies such as the Japanese Cancer Association, Society of Toxicologic Pathology, and Japanese Society for Cancer Prevention.

🌍 Community Engagement:

Beyond the lab, Dr. Kakehashi is deeply committed to gender equity in research. She has actively participated in initiatives by Japan’s Ministry of Education to improve research environments for women and promote work-life balance. Her involvement in national review committees also reflects her leadership in shaping research directions at the policy level.

Publications:

  • “Metabolism and effects of acetoaceto-o-toluidine in the urinary bladder of humanized-liver mice”
    Journal of Toxicologic Pathology, 2025

  • “Nicotine promotes the development of invasive bladder carcinoma in rats”
    Journal of Toxicologic Pathology, 2025

  • “Comparative analysis of the toxic effects on the mouse lung of 4 weeks exposure to the heated tobacco product Ploom TECH+ and 3R4F reference cigarettes”
    Journal of Toxicologic Pathology, 2025

  • “Urinary bladder carcinogenic potential of 4,4′-methylenebis(2-chloroaniline) in humanized-liver mice”
    Toxicological Sciences, 2024

  • “Fullerene and fullerene whisker are not carcinogenic to the lungs and pleura in rat long-term study after 2-week intra-tracheal intrapulmonary administration”
    Archives of Toxicology, 2024

  • “Characterizing the toxicological responses to inorganic arsenicals and their metabolites in immortalized human bladder epithelial cells”
    Archives of Toxicology, 2024

  • “Stromal area differences with epithelial-mesenchymal transition gene changes in conjunctival and orbital mucosa-associated lymphoid tissue lymphoma”
    Frontiers in Oncology, 2024

  • “Evaluation of the mechanisms involved in the development of bladder toxicity following exposure to occupational bladder cancer causative chemicals using DNA adductome analysis”
    Biomolecules, 2024

  • “DNA Methylation Aberrations in Dimethylarsinic Acid-Induced Bladder Carcinogenesis”
    Cancers, 2023

  • “Recent Insights into the Biomarkers, Molecular Targets and Mechanisms of Non-Alcoholic Steatohepatitis-Driven Hepatocarcinogenesis”
    Cancers, 2023 (Review Article)

Zhuo Sun | Genetics and Molecular Biology | Best Researcher Award

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Dr.Zhuo Sun | Genetics and Molecular Biology | Best Researcher Award

Lecturer at Chengdu Normal University, China.

Dr. Zhuo Sun is a researcher and lecturer at Chengdu Normal University, China, specializing in sports genetics, molecular metabolomics, and injury prevention. He earned his Ph.D. in Genetics and ACL Injury from the Gdansk University of Physical Education and Sport, Poland. His research focuses on the genetic determinants of soft tissue injuries and metabolic responses to physical exercise, with over 14 peer-reviewed publications in international journals. Dr. Sun has participated in national and international research projects, presented at global conferences, and received multiple academic fellowships. His work bridges the gap between molecular biology and sports performance, aiming to improve athlete health and recovery through precision science.

Profile:

🎓 Education Background:

Dr. Zhuo Sun holds a Ph.D. in Genetics & ACL Injury from the Gdansk University of Physical Education and Sport in Poland (2021–2024), where he conducted pioneering research on the genetic risks associated with non-contact anterior cruciate ligament injuries. He also earned a Master’s degree in Sports Physiology & Anatomy from Shanxi University, China (2016–2019), and a Bachelor’s degree in Kinesiology from the University of Dalian, China (2012–2016). His academic foundation seamlessly blends biological science with athletic performance, providing him with a multidisciplinary edge.

💼 Professional Experience:

Dr. Zhuo Sun is currently serving as a Lecturer in the Department of Physical Education at Chengdu Normal University, China, since January 2025, where he contributes to both academic instruction and research in sports science and injury prevention. Prior to this, he held a teaching and research position at the Department of Sports Medicine and Rehabilitation at North Sichuan College in 2024, focusing on musculoskeletal health, rehabilitation techniques, and exercise physiology. During his Ph.D. studies (2021–2024) at Gdansk University of Physical Education and Sport in Poland, Dr. Sun worked as a Research Assistant and Teaching Assistant, actively participating in genetic and proteomic investigations related to ACL injuries, while also supporting classroom instruction and international research projects. In 2019, he gained international exposure as a Visiting Scholar at the Division of Kinesiology and Nutritional Science, California State University, Los Angeles, enhancing his global perspective and collaborative research experience. His professional journey reflects a strong foundation in academic teaching, molecular research, and international cooperation in sports and health sciences.

🧬 Research Interests:

Dr. Sun’s research is focused on genetics, molecular metabolomics, proteomics, and the regulation of functional proteins in sports medicine. He is particularly interested in identifying gene variants that contribute to musculoskeletal injuries among athletes, aiming to bridge molecular science with practical applications in injury prevention and rehabilitation. His work on biomarkers and metabolic profiling also sheds light on exercise recovery and performance enhancement.

🏅 Awards & Honors:

Dr. Sun has received multiple honors recognizing his academic excellence and research potential. He was awarded a 1st-class Academic Fellowship in 2017, 2018, and 2019 by Shanxi University. He also secured a National Soft Tissue Injury Mechanism Research Grant (2024–2027), and was a visiting scholar at California State University, LA in 2019. In 2023, he served as a translator and assistant researcher during an International Research Summer Camp in Poland, showcasing his multilingual and cross-cultural abilities.

🌍 Conferences & International Exposure:

Dr. Sun has presented his research at several notable conferences, including the 3rd International Congress of the Polish Society of Muscles, Tendons, and Bonds in 2022, and international seminars in China focusing on sports health and metabolomics. His ability to collaborate across borders and cultures demonstrates his global perspective and dedication to academic exchange.

🧠 Core Skills:

Dr. Sun is skilled in molecular biology techniques, sports genomics, non-targeted metabolomics (UHPLC-MS, ¹H-NMR), systematic reviews and meta-analysis, and scientific writing. His interdisciplinary approach combines laboratory expertise with real-world sports health applications, making his skill set highly relevant to modern sports science, injury prevention, and precision medicine.

Publication:

  • The COL27A1 and COL11A1 gene variants are not associated with the susceptibility to anterior cruciate ligament rupture in Polish athletes
    Baltic Journal of Health and Physical Activity, 2023

  • Genetic Determinants of the Anterior Cruciate Ligament Rupture in Sport: An Up-to-Date Systematic Review
    Journal of Human Kinetics, 2023

  • Mechanism of the Effect of High-Intensity Training on Urinary Metabolism in Female Water Polo Players Based on UHPLC-MS Non-Targeted Metabolomics Technique
    Healthcare (Basel, Switzerland), 2021

  • 1H NMR-based metabolomics approach for exploring the effect of astaxanthin supplementation on plasma metabolites after high-intensity physical exercise
    Journal of Men’s Health, 2021

  • Effect of astaxanthin and exercise on antioxidant capacity of human body, blood lactic acid and blood uric acid metabolism
    Science & Sports, 2019

  • Effect of Astaxanthin Supplementation on Antioxidant Capacity, Blood Lactate and Blood Uric Acid Metabolism in Human Recovery Stage After Exercise
    Advances in Bioscience and Bioengineering, 2019

Yong-zhuo Chen | Agricultural and Biological Sciences | Best Researcher Award

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Dr.Yong-zhuo Chen | Agricultural and Biological Sciences | Best Researcher Award

Chizhou University, China.

Dr. Yong-zhuo Chen is a researcher at Chizhou University specializing in entomology and ecology. He earned his Ph.D. in Ecology from Anhui Normal University, with prior degrees in Molecular Zoology and Biotechnology. His research focuses on the reproductive interference, ecological behavior, and adaptive traits of Drosophila suzukii, an invasive pest species. Dr. Chen has published in renowned journals such as Animal Behaviour, Journal of Applied Entomology, and Biological Journal of the Linnean Society. His work contributes to pest control strategies and evolutionary biology. He collaborates actively with Anhui Normal University and is recognized for his promising scientific contributions.

Profile:

🎓 Education Background:

Dr. Yong-zhuo Chen holds a strong academic foundation in life sciences and ecology. He began his journey with a Bachelor’s degree in Biotechnology from Jining Medical College (2012–2016), where he developed a deep interest in molecular biology. He further specialized in Molecular Zoology by completing his Master’s degree at Qufu Normal University (2016–2019), gaining insights into insect physiology and reproduction. His academic pursuit culminated in a Ph.D. in Ecology from Anhui Normal University (2019–2022), where he explored ecological dynamics and species interaction mechanisms. His education laid a multidisciplinary groundwork that now informs his advanced research in entomology.

💼 Professional Experience:

Dr. Yong-zhuo Chen began his professional career in 2022 as a researcher at Chizhou University, shortly after completing his Ph.D. in Ecology from Anhui Normal University. At Chizhou University, he is actively engaged in academic research and teaching, with a primary focus on the reproductive ecology and behavioral biology of Drosophila suzukii. His professional work involves designing and conducting laboratory and field experiments, publishing peer-reviewed articles, and collaborating with academic partners such as Anhui Normal University. Dr. Chen’s role also includes mentoring students in biological sciences and contributing to the university’s scientific research profile in ecology and entomology.

🧬 Research Interests:

Dr. Chen’s core research focuses on the reproductive interference and ecological behavior of Drosophila suzukii, an invasive species with significant agricultural impact. His studies aim to understand the biological, ecological, and behavioral interactions that affect the pest’s reproduction, survival, and population dynamics. He is particularly interested in species interaction, phenotypic plasticity, and the evolutionary mechanisms that guide insect behavior under environmental pressures.

🔬 Scientific Impact and Publications:

Dr. Chen’s scientific influence is evident in his publications indexed in the Web of Science. These works explore interspecies interactions, fertility control via irradiation, and adaptive phenotypic traits. Each paper reflects rigorous experimentation and a strong ecological framework. His paper titled “Asymmetric reproductive interference…” in Animal Behaviour (2025) particularly stands out for its contribution to behavioral ecology.

🏅 Achievements and Recognition:

Although Dr. Chen is in the early stages of his academic career, he has already demonstrated notable scholarly potential. His work is recognized in high-impact journals and contributes to addressing real-world challenges in agriculture and pest control. He is currently a faculty member at Chizhou University, where he is actively engaged in teaching and research. While he has not yet received formal awards or held editorial positions, his consistent output and research quality suggest strong prospects for future accolades.

📚 Academic Contributions:

Dr. Chen has published several impactful research papers in reputable peer-reviewed journals. Notable among them are articles in Animal Behaviour, Journal of Applied Entomology, Insects, Journal of Insect Science, and Biological Journal of the Linnean Society. His research highlights include demonstrating how Drosophila melanogaster influences the reproductive success of D. suzukii, the seasonal dynamics of non-crop host utilization, and the role of natural selection in body coloration. His findings contribute meaningfully to pest management strategies and evolutionary ecology.

Publication:

  • Asymmetric reproductive interference of male Drosophila suzukii caused by both male and female Drosophila melanogaster
    Published in: Animal Behaviour (2025)

  • Impact of Irradiated Drosophila melanogaster Pupae on the Quality and Population Parameters of Trichopria drosophilae
    Published in: Insects

  • Seasonal monitoring of Drosophila suzukii and its non-crop hosts in Wuhu, Eastern China
    Published in: Journal of Applied Entomology

  • Effects of Irradiated Sterile Male and Mating Sequence on the Fertility of Drosophila suzukii (Diptera: Drosophilidae)
    Published in: Journal of Insect Science

  • Natural selection, rather than sexual selection, plays a dominant role in the formation of body coloration in Drosophila suzukii
    Published in: Biological Journal of the Linnean Society

 

Muhammad Imran | Mathematics | Best Researcher Award

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Assist. Prof. Dr.Muhammad Imran | Mathematics | Best Researcher Award

Assistant Professor at University of Education, Pakistan.

Dr. Muhammad Imran is a distinguished Pakistani mathematician and researcher specializing in fluid mechanics, nanofluid simulation, and magnetohydrodynamics (MHD). Born on April 15, 1989, in Rahim Yar Khan, Pakistan, he has demonstrated a consistent academic and professional trajectory that reflects his dedication to advancing applied mathematics. With over a decade of experience in both teaching and high-impact research, Dr. Imran has carved a notable niche in the mathematical modeling of complex physical systems, particularly oscillatory and curved geometries.

Profile:

Educational Background:

Dr. Imran holds a Ph.D. in Applied Mathematics (Fluid Mechanics) from The Islamia University of Bahawalpur, which he completed in 2021. His doctoral thesis focused on the analysis of fluid motion due to curved oscillatory geometries. He earned his M.Phil. in 2017 and M.Sc. in 2014 from the same institution, specializing in applied mathematics, with a strong emphasis on non-Newtonian fluids and convective heat transfer. His academic journey began with a B.Sc. degree in Mathematics and Physics in 2012.

💼 Professional Experience:

Dr. Muhammad Imran has accumulated over a decade of progressive academic and teaching experience, beginning his career in the public education sector and evolving into a university-level academician. Currently, he serves as an Assistant Professor (TTS) at the University of Education, Lahore – Vehari Campus, a position he has held since January 2023. In this role, he teaches a range of undergraduate and postgraduate courses in applied mathematics, supervises theses, and leads research in fluid dynamics and computational modeling.Prior to his current post, Dr. Imran briefly worked as a Visiting Assistant Professor at the National College of Business Administration & Economics, Rahim Yar Khan Campus, from September to December 2022, where he contributed to the development of advanced mathematical curricula.From April 2015 to December 2022, he served as a Secondary School Educator (SSE-Math) under the Punjab School Education Department, where he played a key role in mathematics instruction at the secondary level, mentoring young learners and preparing them for higher education in STEM fields.He also worked as a Visiting Lecturer at MTB College, Sadiq Abad, during 2016–2017, where he taught foundational and applied mathematical subjects. His cumulative experience demonstrates a well-rounded commitment to both academic excellence and student development, across both secondary and higher education settings.

🧪 Research Interests:

Dr. Imran’s research is deeply rooted in fluid mechanics, focusing on both Newtonian and non-Newtonian fluids, nano and hybrid nanofluid dynamics, heat and mass transfer, MHD, and computational techniques such as the Keller Box and Shooting Methods. He explores flow behavior over curved, stretchable, and oscillatory surfaces with physical applications in engineering and materials science. His work also incorporates advanced entropy analysis, gyrotactic microorganism modeling, and modified thermal conduction theories.

🧠 Reviewer & Editorial Contributions:

As a committed academic, Dr. Imran actively contributes to the peer-review process for top-tier journals such as PLOS ONE, Heat Transfer, Journal of the Brazilian Society of Mechanical Sciences and Engineering, and Journal of King Saud University–Science. His role as a reviewer highlights his expertise and recognition in the global research community.

🌍 Conferences & Engagements:

He has participated in national and international mathematics conferences, such as the International Conference on Recent Developments in Fluid Mechanics and Recent Advances in Mathematics, organized by The Islamia University of Bahawalpur and University of Education. His presentations often focus on magnetized nanofluid flows, curved geometry analysis, and entropy-related optimization.

Academic Mentorship:

Currently serving as an Assistant Professor (TTS) at the University of Education, Lahore (Vehari Campus), Dr. Imran has taught a variety of undergraduate and postgraduate mathematics courses, including Fluid Dynamics, Differential Equations, Group Theory, and Vector Analysis. He has supervised over 20 B.S. theses and 10 M.S. theses, focusing on real-world applications of fluid dynamics, particularly in nanofluids and reactive flows.

Publication:

  1. Imran, M., Naveed, M., Iftikhar, B., & Abbas, Z. (2023). Heat transfer analysis in a curvilinear flow of hybrid nanoliquid across a curved oscillatory stretched surface with nonlinear thermal radiation. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 103(11), e202200600. https://doi.org/[Insert DOI if available]
    Cited by: 16

  2. Imran, M., Naveed, M., & Abbas, Z. (2024). Analysis of thermophoretic and Brownian diffusions in hydromagnetic curvilinear flow of Carreau nanofluid with activation energy and heat generation. Results in Engineering. [In Press]
    Cited by: [To be updated]

  3. Imran, M., Naveed, M., & Rasheed, M. W. (2025). Analysis of heat transfer in magnetized Williamson fluid over a porous curved oscillating surface: Entropy Generation. International Journal of Geometric Methods in Modern Physics, [In Press]
    Cited by: [To be updated]

  4. Imran, M., Naveed, M., Rafiq, M. Y., & Abbas, Z. (2025). Swimming of gyrotactic microorganisms in curvilinear flow of nanofluid in a curved oscillatory channel with Cattaneo-Christov double diffusion theory. Chinese Physics B, [In Press]
    Cited by: [To be updated]

  5. Imran, M., Naveed, M., & Khadim, M. F. (2025). Dynamics of chemical reactions and temperature-dependent thermal conductivity in a viscous fluid over an oscillating curved surface. Science Progress, 108(2), 00368504251343498.
    Cited by: [To be updated]

  6. Imran, M., Naveed, M., & Abbas, Z. (2021). Flow of Eyring-Powell liquid due to oscillatory stretchable curved sheet with modified Fourier and Fick’s model. Applied Mathematics and Mechanics (English Edition), 42(10), 1461–1478.
    Cited by: [Check database]

  7. Imran, M., Naveed, M., & Abbas, Z. (2021). Impact of Joule heating and melting on time-dependent flow of nanoparticles due to an oscillatory stretchable curved wall with heat generation. Alexandria Engineering Journal, 60(4), 4097–4113.
    Cited by: [Check database]

  8. Imran, M., Abbas, Z., & Naveed, M. (2019). Hydromagnetic flow of a Carreau fluid in a curved channel with nonlinear thermal radiation. Thermal Science, 23(6), 3379–3390.
    Cited by: [Check database]

Nyambane Ontita | Microbiology | Outstanding Scientist Award

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Dr. Nyambane Ontita | Microbiology | Outstanding Scientist Award

Researcher at Central South University, Kenya.

Nyambane Clive Ontita 🇰🇪 is a passionate environmental microbiologist 🌱 specializing in microbe-mineral interactions, bioelectrochemical systems ⚡, and resource recovery from industrial waste streams ♻️. Currently pursuing a Ph.D. at Central South University, China 🇨🇳, Clive focuses on innovative microbial strategies for rare earth element (REE) recovery and pollutant degradation from wastewater 🧪. With over a decade of combined teaching 🎓 and research experience, he bridges science and sustainability in real-world applications. His international exposure 🌍, impactful publications 📚, and hands-on technical skills in environmental analytics and microbial technologies make him a rising figure in green research. Clive is dedicated to interdisciplinary collaboration 🤝 and is driven by a mission to create sustainable, microbially-driven technologies that support clean industry and circular economies 🌎.

Professional Profile

ORCID

Suitability For Outstanding Scientist Award – Dr. Nyambane Ontita

Nyambane Ontita stands out as a committed, innovative, and impactful environmental microbiologist with a decade-long career dedicated to sustainable scientific solutions. His interdisciplinary expertise, combining microbiology, environmental engineering, and materials science, aligns strongly with the core values of the Outstanding Scientist Award—scientific excellence, innovation, real-world impact, and leadership in research.

Education

Clive holds a Ph.D. (ongoing) in Environmental Microbiology 🧫 from Central South University, China 🇨🇳, where he specializes in microbial electrochemical systems and metal recovery. He earned his Master’s degree in Microbiology 🧪 from Kenyatta University, Nairobi 🇰🇪, in 2015, focusing on clinical and environmental microbiology. He began his academic journey with a Bachelor of Science in Education (Biology and Agriculture) 🌾 from Bugema University, Uganda 🇺🇬, in 2010. His educational path reflects a strong foundation in biological sciences, environmental health, and sustainable agriculture 🌿. With a mix of African and international education, Clive is well-equipped to tackle global environmental challenges using science and innovation 💡.

Experience

Clive has diverse professional experience in academia and research 🔬. Currently, he is a doctoral researcher at Central South University, China 🇨🇳, investigating bioelectrochemical methods for rare earth element recovery and wastewater treatment 💧. He previously served as a part-time lecturer 🧑‍🏫 at Kisii University and JKUAT in Kenya 🇰🇪, where he taught microbiology and supervised student research for over six years 📘. In 2015, he worked as a graduate researcher at Kisii Teaching and Referral Hospital 🏥, exploring clinical microbiology and antibiotic resistance. His extensive experience includes reactor operation, microbial analysis, and mentorship, positioning him as a skilled educator, researcher, and problem solver 🤝.

Professional Development

Clive is committed to lifelong learning and growth through research and collaboration 📚. He actively participates in international workshops and training programs 🌍, including the AITC course on Carbon Neutrality held in Bangkok (2024) 🌱, and the Graduate Innovation Forum on Low-Carbon Metal Resource Utilization in China (2023) 🌐. His continuous development in cutting-edge techniques like qPCR, bioinformatics 🧬, and surface analytics ensures he remains at the forefront of environmental biotechnology 🔬. Through conferences, academic networking 🤝, and cross-border collaborations, Clive refines his skills and contributes meaningfully to global sustainability conversations 🌎. His ability to merge theory with practical innovation positions him as a leader in his field 🚀.

Research Focus Category

Clive’s research is centered around Environmental Biotechnology 🌍 and Sustainable Resource Recovery 🔄. His work lies at the intersection of microbiology 🧫, environmental engineering 🛠️, and materials science 🧱. He focuses on developing bioelectrochemical systems (BES) to recover rare earth elements like Ce, La, and Gd from mining and industrial wastewater 🧪. Additionally, he investigates microbial processes for the degradation of emerging contaminants and biostabilization of mine waste ⛏️. His research addresses urgent environmental issues like pollution, resource scarcity, and clean energy transitions ⚡. Clive’s contribution directly supports Sustainable Development Goals (SDGs) 6 (Clean Water), 9 (Industry Innovation), and 13 (Climate Action) 🌿, placing him in the category of applied environmental science with real-world impact 🌎.

Research Skill Category

Clive possesses a wide range of high-level technical and analytical research skills 🔍. His core proficiencies include molecular biology techniques like DNA extraction, qPCR, and 16S rRNA sequencing 🧬, and bioinformatics tools such as PICRUSt for microbial pathway prediction 💻. He’s highly experienced with environmental analytics—operating tools like XPS, FTIR, SEM, XRD, and ICP-OES for metal speciation and surface characterization 🔬. Clive also designs and operates bioelectrochemical systems for pollutant degradation and metal recovery ⚙️. His expertise spans data analysis using SPSS, OriginLab, and GraphPad Prism 📊. His skillset is well-suited for complex, interdisciplinary research requiring precision, innovation, and scalability in environmental microbiology and process engineering 🌱.

Awards & Honors

Clive’s excellence has been recognized through several academic honors 🥇. He was awarded Best Research Student (2024) at Central South University 🇨🇳, acknowledging his innovative work in microbial electrochemical systems. In 2022, he also earned the Best Research Group Presenter title for his impactful research presentations and scientific communication skills 🎤. These awards reflect his dedication, academic leadership, and ability to translate complex research into practical, sustainable solutions 🌿. Clive continues to gain recognition as a rising environmental scientist with a strong academic and research trajectory.

Publication Top Notes

1. High‑efficiency nitrogen removal by cold‑tolerant bacteria consortium at low temperatures

  • Journal: Bioresource Technology

  • Publication Date: June 2025

  • DOI: 10.1016/j.biortech.2025.132816

  • Authors: Y. Xu; N. C. Ontita; W. Zeng; J. Huang; L. Jiang; X. Huang; Q. Li; P. Hu

  • Summary: Demonstrates effective nitrogen removal via a cold-tolerant bacterial consortium in low-temperature wastewater conditions—critical for improving treatment in cold climates.

2. Mechanistic Insights into Biphasic Effects of Ce(III) on Anode Biofilms…

  • Journal: Water, Air, & Soil Pollution

  • Publication Date: June 2025

  • DOI: 10.1007/s11270-025-08175-9

  • Authors: N. C. Ontita; C. Amanze; R. Anaman; X. Shanshan; F. Kwofie; P. A. Tetteh; W. Zeng

  • Summary: Investigates how Ce(III) exhibits dual roles—enhancing or inhibiting—on anode biofilms in bioelectrochemical wastewater treatment, offering mechanistic insights for optimizing industrial systems.

3. Substrate‑mediated enhancement of bioelectrochemical systems for sustainable rare earth element recovery…

  • Journal: Journal of Water Process Engineering

  • Publication Date: June 2025

  • DOI: 10.1016/j.jwpe.2025.108199

  • Authors: N. C. Ontita; R. Anaman; C. Amanze; H. N. Nyangweso; W. Zeng

  • Summary: Presents substrate-based strategies to improve bioelectrochemical recovery of rare earth elements from mining wastewater—a sustainable alternative to conventional mining.

4. Electrochemically active biofilms responses to gadolinium stress during wastewater treatment…

  • Journal: Journal of Hazardous Materials

  • Publication Date: March 2025

  • DOI: 10.1016/j.jhazmat.2025.137941

  • Authors: N. C. Ontita; R. Anaman; E. K. Sarkodie; Y. Wang; A. H. Bichi; X. Shanshan; H. N. Nyangweso; Y. Xu; C. Amanze; N. E. H. Bouroubi et al.

  •  Summary: Analyzes how gadolinium (Gd) stress affects electrochemically active biofilms, informing risk-mitigation strategies in wastewater systems using imposed bioelectrochemical processes.

5. Isolation and Whole‑genome analysis of Desmodesmus sp. SZ‑1: Novel acid‑tolerant carbon‑fixing microalga

  • Journal: Bioresource Technology

  • Publication Date: December 2024

  • DOI: 10.1016/j.biortech.2024.131572

  • Authors: Y. Wang; A. Liu; C. Amanze; N. C. Ontita; W. Zeng

  • Citations: 34

  •  Summary: Presents a novel acid-tolerant, carbon-fixing microalga with whole-genome analysis, offering potential for bioindustrial CO₂ sequestration and bioresource development.

6. Insights into anode substrate optimization in bioelectrochemical systems for efficient cathodic lanthanum recovery…

  • Journal: Journal of Water Process Engineering

  • Publication Date: September 2024

  • DOI: 10.1016/j.jwpe.2024.106003

  • Authors: N. C. Ontita; E. K. Sarkodie; R. Anaman; Y. H. Tang; W. Zeng

  • Summary: Explores tailored anode substrates for enhanced cathodic lanthanum recovery—paving the way for valuable metal recovery in wastewater treatment.

Conclusion

Nyambane Ontita is an ideal candidate for the Outstanding Scientist Award. His impactful and innovative contributions to environmental microbiology and sustainable technology—coupled with strong technical capability, leadership potential, and international collaboration—exemplify the spirit of this honor. His work not only advances scientific understanding but also delivers practical solutions for cleaner industries and a more sustainable planet.

Zengcai Ji | Energy | Best Researcher Award

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Dr. Zengcai Ji | Energy | Best Researcher Award

Associate research fellow at School of Renewable Energy, Inner Mongolia University of Technology, China.

Zengcai is an Associate Research Fellow at the School of Renewable Energy, Inner Mongolia University of Technology 🇨🇳. With a strong commitment to sustainable energy, his research explores thermal energy storage 🔥, low-carbon combustion of coal and biomass ♻️, and pollutant emission control 🌱. He actively contributes to China’s dual carbon goals by advancing clean and flexible energy technologies. Ji has authored and co-authored ten SCI-indexed publications in top-tier journals including Fuel Processing Technology and Chemical Engineering Science 📚. He currently leads a strategic university project on thermal energy storage systems, focusing on performance optimization and adaptability under fluctuating loads ⚙️. Ji is dedicated to interdisciplinary approaches combining combustion science, heat transfer, and environmental engineering 🌍. Though early in his career, his research has already contributed valuable insights into sustainable energy transformation, making him a rising talent in the clean energy sector 🚀.

Professional Profile 

Scopus

Suitability For Best Researcher Award – Dr. Zengcai Ji 

Zengcai Ji is a highly promising researcher whose work significantly advances the field of sustainable energy, particularly in thermal energy storage and clean combustion technologies. His leadership in a strategic university project focused on optimizing thermal storage systems under variable load conditions addresses critical challenges in integrating renewable energy sources. Ji’s research on low-carbon coal and biomass combustion, coupled with effective pollutant emission control, aligns directly with China’s dual carbon goals and global sustainability efforts. With ten first-author publications in prestigious SCI-indexed journals, he has demonstrated strong scientific rigor and innovation early in his career. His interdisciplinary approach, combining combustion science, heat transfer, and environmental engineering, equips him with the tools to deliver impactful solutions for clean energy transitions. Although still early in his professional journey, Ji’s technical expertise, research leadership, and contribution to national projects make him an outstanding candidate for recognition as a best researcher in the clean energy domain.

Education 

Zengcai Ji holds a Ph.D. in Engineering 🎓, where his research focused on clean combustion and energy systems optimization 🔥⚙️. During his doctoral studies, he participated in several national-level programs on low-emission combustion and the flexible operation of circulating fluidized bed (CFB) boilers in China 🇨🇳. His academic background is firmly grounded in mechanical and thermal energy engineering 🔧🌡️, with an emphasis on sustainable development and environmental protection 🌿. His advanced studies have provided him with solid expertise in modeling, system integration, and pollutant control technologies, all vital for transitioning to cleaner energy systems 🌍. Through hands-on experiments and theoretical work, Ji developed a comprehensive understanding of combustion dynamics and energy conversion processes, building a strong foundation for his research career 📘💡.

Experience 

Zengcai Ji currently serves as an Associate Research Fellow at the School of Renewable Energy, Inner Mongolia University of Technology 🏫. He has led and contributed to research in thermal energy storage and clean coal combustion 🔥⚡. His experience includes hands-on experimental work with circulating fluidized bed (CFB) systems and low-emission combustion technologies 🧪🌀. Ji has authored multiple first-author publications in SCI journals and played a key role in a university-level strategic project focusing on novel thermal storage technologies and system adaptability under variable load conditions 🧰📈. Earlier in his career, he contributed to national research programs involving emission reduction and power plant flexibility 🔄🌫️. Although he has not yet engaged in industry consulting or patenting, his academic experience demonstrates a strong trajectory of technical problem-solving and applied thermal system research 🔍🔬.

Professional Development 

Zengcai Ji has actively developed his professional capabilities through academic leadership and research involvement in strategic energy projects 🔋📚. Currently leading a university-funded initiative on thermal energy storage system design and optimization, he is enhancing his expertise in experimental setups, multi-physics modeling, and thermo-mechanical analysis 🛠️🧠. His consistent publication in high-impact SCI journals demonstrates a growing presence in the global research community 🌐🖋️. Although he has not yet taken on editorial roles or obtained patents, his contributions to national research programs during his Ph.D. provided valuable experience in managing complex, collaborative research tasks 🤝💼. Ji’s development also reflects a clear alignment with national and global sustainability goals, emphasizing innovation in clean energy systems and low-carbon technologies ♻️🌍. As he progresses, expanding his industry engagement and involvement in international research networks will further strengthen his professional profile 🚀🌎.

Research Focus Category 

Zengcai Ji’s research focus lies in the broad domain of renewable energy and environmental engineering 🌱⚡. More specifically, his work contributes to clean combustion technologies, thermal energy storage systems, and solid waste utilization, all vital components in achieving low-carbon energy solutions 🔥♻️. His research supports China’s dual carbon goals and addresses pressing challenges in flexible power plant operations, NOx emission control, and resource efficiency 🌍🏭. By focusing on the performance optimization of circulating fluidized bed (CFB) boilers and thermal storage-assisted systems, Ji is developing practical technologies for integrating renewable energy sources and improving fossil fuel system efficiency ⚙️💨. His interdisciplinary research aligns with the energy transition, particularly in promoting sustainable coal and biomass use, making him a contributor to the global shift toward cleaner, more adaptable energy infrastructure 🔋🌐.

Research Skill Category

Zengcai Ji possesses a solid set of research skills in thermal systems engineering, experimental combustion analysis, and multi-physics modeling 🔥🧠. His expertise spans the operation of circulating fluidized bed (CFB) boilers, performance testing of thermal energy storage components, and emission characterization under varying load conditions 🧪🔍. Skilled in designing experimental rigs and evaluating combustion behaviors, he integrates both experimental and theoretical methods to address efficiency and emission issues in power systems 📊⚗️. Ji also applies knowledge of heat transfer, air distribution, and particle transport phenomena—all crucial to optimizing combustion and energy storage systems ⚙️🌡️. While still building experience in computational simulation, his strong hands-on and analytical abilities are evident from his peer-reviewed research contributions. As his career advances, expanding skills in digital twin systems, AI-based optimization, and international collaboration will further enhance his technical edge and global relevance 🌎🚀.

Awards and Honors 

As of now, Zengcai Ji has not reported any formal awards or honors 🏅📉. However, his selection to lead a university-level strategic research project on thermal energy storage represents institutional recognition of his expertise and potential 🏫🎖️. Additionally, his consistent publication as the first author in SCI-indexed journals indicates academic merit and peer recognition within the clean energy research field 📚🌍. His early contributions to national-level research programs during his Ph.D. also highlight the trust placed in his technical abilities at a formative stage of his career 🇨🇳💡. With continued progress, he is a strong candidate for future awards related to sustainable energy, innovation in thermal systems, and early-career research excellence 🥇🌱. As his academic network grows, more formal honors are likely to follow.

Publication Top Notes

Experimental study on the combustion and emission characteristics of thermal storage-assisted load reduction in a circulating fluidized bed

Journal: Fuel Processing Technology

Year of Publication: 2025

Summary:

This paper presents an experimental investigation into the combustion and emission behavior of a circulating fluidized bed (CFB) system that integrates thermal energy storage to assist in load reduction.

Conclusion:

Zengcai Ji exemplifies the qualities of a rising star in clean energy research. His contributions to thermal energy systems, low-carbon combustion, and pollutant mitigation are directly aligned with both national energy strategies and global climate objectives. Although still early in his career, he demonstrates strong leadership, innovation potential, and a well-rounded research portfolio that merit serious consideration for a Best Researcher Award in the clean/renewable energy or environmental engineering domain.

Zahoor shah | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Zahoor shah | Mathematics | Best Researcher Award

Assistant Professor at COMSATS University Islamabad, Pakistan.

Dr. Zahoor Shah 🇵🇰 is a distinguished Assistant Professor at COMSATS University Islamabad, Pakistan 🏛️. A gold medalist 🥇 in Computational Mathematics, he is a leading researcher in Artificial Intelligence 🤖, Computational Fluid Dynamics 🌊, and Bio-Mechanics 🧬. With over 80+ publications in prestigious international journals 📚 and an impact factor exceeding 103 📈, Dr. Shah’s interdisciplinary research bridges mathematical modeling and machine learning. He is not only an educationist 👨‍🏫 but also a climate activist 🌱, youth leader 👥, and seasoned speaker 🎤. His contributions span academia, social development, and scientific innovation. As Chairman of the National Youth Parliament Pakistan 🇵🇰 and a former director in media and health sectors 📺🏥, he blends scientific excellence with community engagement. His collaborations with international scholars in Taiwan, China, and Egypt 🌍 reflect a dynamic global presence, making him a top contender for the Best Researcher Award 🏆.

Professional Profile 

Suitability For Best Researcher Award – Assist. Prof. Dr. Zahoor shah

Dr. Zahoor Shah exemplifies the ideal profile of a top-tier interdisciplinary researcher. His combination of academic excellence, research innovation, and community leadership positions him as a strong candidate for the Best Researcher Award. With a research impact factor exceeding 103, over 80 international publications, and pioneering work at the intersection of Artificial Intelligence, Fluid Dynamics, and Bio-Mechanics, he brings both depth and breadth to his research agenda. Moreover, his global collaborations and youth empowerment initiatives reflect a commitment to knowledge dissemination beyond academia.

Education 

Dr. Zahoor Shah’s academic journey reflects deep dedication to applied mathematics and computational sciences 📐📊. He earned his Ph.D. in Computational Mathematics from Mohi Ud Din Islamic University, AJ&K, in 2021 🥇, graduating with a Gold Medal 🏅. His thesis focused on the “Design and Applications of Stochastic Numerical Solver for the Solution of Non-Linear Fluidic Systems” 🧪. He also holds a Master of Science in Mathematics from International Islamic University Islamabad (2010) 🎓, where he specialized in Applied Mathematics, Numerical Analysis, ODEs/PDEs, and Mathematical Modeling 🧠. His foundational studies began with a Bachelor of Science in Mathematics from the University of the Punjab, Lahore (2006) 📖. With strong command over programming and simulation tools like Matlab, Mathematica, and Python 💻, Dr. Shah’s academic foundation provides the backbone for his pioneering AI-based research in fluid dynamics and bio-mechanics 🌡️⚙️.

Experience 

Dr. Shah brings over a decade of versatile teaching and research experience 🧑‍🏫📚. He is currently serving as an Assistant Professor at COMSATS University Islamabad (2013–present) 🏛️, where he teaches core mathematics, computational modeling, and AI applications to undergraduate and graduate students 📘👨‍🎓. He has also held academic positions at Allama Iqbal Open University, Federal Urdu University, Foundation University, and International Islamic University Islamabad 📍. Beyond academia, he served as Director at AVT Channels Pvt Ltd (2013–2019) 📺, contributing to public awareness through health and education campaigns. As a member of statutory bodies, registrar committees, and course development teams 🗂️, he has influenced institutional strategy and academic policy. His teaching includes applied mathematics, differential equations, and neural network modeling 🧮, preparing future researchers in the intersection of AI and fluid mechanics 🌊🤖.

Professional Development 

Dr. Zahoor Shah has continually advanced his professional skill set through international fellowships, editorial roles, and youth leadership 🌍📈. He is an alumnus of the Nasser Fellowship for International Youth Leadership in Egypt (2021) 🇪🇬 and represented Pakistan in the International Congress for Youth & Rural Development in Russia (2019) 🇷🇺. His involvement in international conferences has led to global collaborations in Taiwan, China, and the Middle East 🌐. He is a reviewer for prestigious journals like Tribology International, Scientific Reports, and Results in Chemistry 📑, reflecting his academic influence. As Chairman of the National Youth Parliament Pakistan 🏛️, he combines academic leadership with civic engagement. He has supervised multiple Ph.D. and MPhil students 🎓 and contributed to curriculum innovation. With a professional portfolio blending AI expertise, teaching, and public service 🤝, Dr. Shah exemplifies holistic academic growth and leadership.

Research Focus

Dr. Shah’s research focuses on the intersection of Artificial Intelligence (AI) 🤖, Non-Newtonian Fluid Mechanics 🌊, Computational Fluid Dynamics (CFD) 💻, and Bio-mechanics 🧬. His primary goal is to develop AI-enhanced numerical solvers, especially neural networks like the Levenberg–Marquardt algorithm, for solving nonlinear differential equations and simulating complex fluidic phenomena ⚙️. His work has broad applications in biomedical engineering, nanotechnology, environmental fluid flows, and renewable energy systems 🌡️🔋. He is particularly known for his contributions to magneto-nanofluidic models, blood flow modeling, and thermodynamic optimization. These models are applied in industrial, medical, and environmental settings, making his research highly impactful 🌍. With over 80 high-quality publications in leading journals 🧾, his interdisciplinary focus brings innovation to both theoretical and applied sciences, blending mathematical rigor with AI-driven insight 🧠📈. His ongoing projects include bio-convective analysis, entropy generation, and climate-related fluid simulations 🌿.

Research Skills

Dr. Shah’s research skillset is a powerful blend of mathematical modeling 🧮, artificial intelligence 🤖, and computational simulations 🖥️. He specializes in stochastic numerical analysis, designing solvers for nonlinear fluid flow models using neural network algorithms such as Levenberg–Marquardt, Bayesian Regularization, and Nonlinear Autoregressive methods 📉. He has deep expertise in software platforms including Matlab, Mathematica, and Python 🔧, enabling him to simulate highly complex fluid and thermal systems like MHD, Casson, and Eyring-Powell models 🔬. His AI skills are applied to biomedical fluid modeling, pollutant transport, and hybrid nanofluid systems used in emerging technologies 💡. He integrates AI with entropy generation, thermal radiation, bioconvection, and chemical reaction modeling, producing solutions applicable in healthcare, energy, and environmental sectors ⚗️🌡️🌎. His innovative skills in deep learning, supervised/unsupervised computing, and AI-enhanced differential solvers place him at the frontier of scientific computing 🔍📊.

Awards & Honors 

Dr. Zahoor Shah has earned several accolades for his research and leadership contributions 🏅🎓. He was awarded the Gold Medal 🥇 in his Ph.D. for academic excellence in Computational Mathematics. Internationally, he was honored as the Best Diplomat by the Government of Egypt 🇪🇬 for his role in global youth leadership during the Nasser Fellowship. As Chairman of the National Youth Parliament Pakistan 🇵🇰, he has been recognized for combining science with policy advocacy and public engagement 👏. His peer recognition includes appointments as Reviewer for top-tier journals like Tribology International, Scientific Reports, Results in Chemistry, and others 🧾. These roles demonstrate his scholarly influence and standing within the research community 🌍. His research has received consistent citations and commendations, further solidifying his reputation as a high-impact researcher contributing to global scientific development 🌐.

Publication Top Notes

1. Multilayer Deep-Learning Intelligent Computing for the Numerical Analysis of Unsteady Heat and Mass Transfer in MHD Carreau Nanofluid Model

  • Journal: Case Studies in Thermal Engineering

  • Publication Date: Dec 2024

  • DOI: 10.1016/j.csite.2024.105369

  • Authors: Zahoor Shah, Mohammed Alreshoodi, Muhammad Asif Zahoor Raja, Hamza Iqbal, Hamid Qureshi

  • Citation Count: 6

  • Summary:
    This study presents a multi-layer deep learning framework to simulate and analyze unsteady heat and mass transfer in magnetohydrodynamic (MHD) Carreau nanofluids. The intelligent system captures nonlinearities in velocity, temperature, and concentration profiles under external magnetic and thermal influences. The model demonstrates good accuracy and generalization for engineering applications.

2. Machine Learning Investigation for Tri-Magnetized Sutterby Nanofluidic Model with Joule Heating in Agrivoltaics Technology

  • Journal: Nano

  • Publication Date: 30 July 2024

  • DOI: 10.1142/S1793292024500589

  • Authors: Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Waqar Azeem Khan

  • Citation Count: 17

  • Summary:
    This research applies machine learning to model the behavior of a tri-magnetized Sutterby nanofluid influenced by Joule heating, particularly in the context of agrivoltaics systems. The approach blends AI with physical modeling to optimize energy transfer, thermal regulation, and fluid motion in hybrid agricultural–solar energy environments.

3. Numerical analysis of heat and mass transfer in Eyring–Powell fluid employing Python with convective boundary conditions

  • Journal: Case Studies in Thermal Engineering

  • DOI: 10.1016/j.csite.2025.106546

  • Publication Date: September 2025

  • Authors: Chenxu Duan, Muflih Alhazmi, Zahoor Shah, Hamza Iqbal, Maryam Jawaid, Mhassen E.E. Dalam, Mohammed M.A. Almazah

  • Summary:
    This paper presents a numerical study using Python for simulating heat and mass transfer in Eyring–Powell fluids under convective boundary conditions. It emphasizes the impact of fluid properties and external conditions on transport phenomena.

4. Machine learning investigation through Python for thermophoretic deposition with radiation on thermal mass transfer of trihybrid nanofluid across sharp dynamics

  • Journal: International Journal of Geometric Methods in Modern Physics

  • DOI: 10.1142/S0219887825500276

  • Publication Date: June 2025

  • Authors: Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, Waqar Azeem Khan, Yasser Elmasry

  • Summary:
    This study combines Python-based machine learning with thermodynamic modeling to explore thermophoretic deposition and radiative effects on trihybrid nanofluid heat transfer.

5. Artificial neural network model for convectively heated Casson fluid with the appliance of solar energy

  • Journal: International Journal of Geometric Methods in Modern Physics

  • DOI: 10.1142/S0219887825500112

  • Publication Date: May 2025

  • Authors: Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, Waqar Azeem Khan, Mehboob Ali, Yasser Elmasry

  • Summary:
    Introduces an ANN framework for simulating the thermal performance of Casson fluid under convective heating, incorporating solar energy influences.

6. Design of Nonlinear Autoregressive Neuro-Computing Structure for Bioconvective Micropolar Nanofluidic Model

  • Journal: Nano

  • DOI: 10.1142/S1793292024500462

  • Publication Date: April 2025

  • Authors: Zahoor Shah, Attika Jamil, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Adiqa Kausar Kiani

  • Summary:
    Proposes a neuro-computational architecture for solving micropolar nanofluid models with bioconvection effects, using nonlinear autoregressive networks.

Conclusion

Dr. Zahoor Shah’s academic rigor, groundbreaking research in computational modeling, and sustained community impact make him a highly deserving candidate for the Best Researcher Award. His profile demonstrates not only scholarly excellence but also a rare blend of innovation, leadership, and global influence—hallmarks of a truly distinguished researcher.

Ramoji Kosuru | Pharmacology | Best Researcher Award

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Mr. Ramoji Kosuru | Pharmacology | Best Researcher Award

Research Scientist-I at Versiti Blood Research Institute, United States.

Dr. Ramoji Kosuru is an accomplished cell and vascular biologist 👨‍🔬 currently serving as a Postdoctoral Fellow and Research Scientist-I at the Versiti Blood Research Institute in Milwaukee, USA 🧬🇺🇸. With a deep focus on cardiovascular and metabolic disorders, Dr. Kosuru has made pioneering contributions in endothelial Rap1 signaling, nitric oxide regulation, and diabetic cardiomyopathy 💓. His research has been featured in high-impact journals like ATVB, IJMS, Angiogenesis, and Frontiers in Pharmacology 📚. Beyond bench science, he also serves as an academic editor for prestigious journals, reflecting his leadership in the field 🖋️. Known for his innovation, precision, and collaboration, Dr. Kosuru blends pharmacological insight with molecular biology expertise to address complex cardiovascular challenges 🔍❤️. His global collaborations and fellowships signify a rising scientific star with strong translational potential 🌍✨.

Professional Profile:

Scopus

ORCID

Google Scholar

Suitability For Best Researcher Award – Mr. Ramoji Kosuru

Dr. Ramoji Kosuru is exceptionally suitable for the Best Researcher Award due to his sustained and innovative contributions in cardiovascular biology, particularly in the molecular mechanisms governing endothelial function, nitric oxide regulation, and diabetic cardiomyopathy. His work spans the intersection of pharmacology and cell signaling, blending foundational science with translational potential. Currently positioned as a Postdoctoral Fellow and Research Scientist-I at the Versiti Blood Research Institute (USA), Dr. Kosuru has built an internationally recognized profile supported by over 35 peer-reviewed publications, editorial responsibilities, and advanced technical skills.

🎓 Education

Dr. Ramoji Kosuru began his academic journey with a Bachelor’s in Pharmacy (B.Pharm.) from Acharya Nagarjuna University, India 🇮🇳. He advanced to earn a Master’s in Pharmacology (M.Pharm.) from Andhra University 📘. His thirst for scientific discovery led him to the prestigious Indian Institute of Technology (BHU), Varanasi, where he completed his Ph.D. in 2018, focusing on Diabetic Cardiomyopathy 🔬💉. To pursue advanced research, he moved to the United States, where he undertook Postdoctoral training in Vascular Signaling at Versiti Blood Research Institute, Wisconsin, and currently holds a Research Scientist-I position 🎓🧠. His academic path highlights an exceptional blend of pharmacy, pharmacology, and cutting-edge cardiovascular research 🧪💖.

💼 Experience

Dr. Kosuru’s professional journey began as a Graduate Student at IIT-BHU (2012–2018) where he developed natural product therapies for diabetic heart disease 🌿❤️. Post-Ph.D., he joined Versiti Blood Research Institute in Wisconsin as a Postdoctoral Fellow (2018–Present), later progressing to Research Scientist-I 👨‍🔬. His ongoing research explores the role of Rap1 GTPases in endothelial function and nitric oxide signaling 🧬🩸. He’s contributed to over 35 publications, several as a lead author, and is well-versed in in vitro, in vivo, and molecular techniques 🧫🧪. His active participation in interdisciplinary collaborations and mentoring roles demonstrates a growing leadership trajectory in biomedical sciences 🧠💼.

📈 Professional Development

Dr. Kosuru has continually enhanced his professional capabilities through cutting-edge research, mentorship, and editorial duties 📚💡. He has mastered advanced techniques like endothelial calcium imaging, NO assays, and gene silencing, contributing novel insights into cardiovascular pathophysiology 🔬❤️. His postdoctoral training under Dr. Chrzanowska has equipped him with grant writing, international conference presentations, and collaboration-building skills 🌐📊. He also serves as an Academic Editor for Oxidative Medicine and Cellular Longevity and BioMed Research International, demonstrating his growing authority in the field ✍️🧠. As a member of ASCB and NAVBO, Dr. Kosuru remains connected to leading scientific networks. With a proven record of publishing, reviewing, and mentoring, he exemplifies a well-rounded, impactful researcher dedicated to continuous growth and contribution 🔄🌟.

🧪 Research Focus

Dr. Kosuru’s research primarily focuses on Cardiovascular Biology, with particular emphasis on endothelial signaling, vascular homeostasis, diabetic cardiomyopathy, and vascular immunosuppression 🫀🧬. His work on Rap1 isoforms (Rap1A & Rap1B) has revealed novel regulatory pathways involving calcium signaling and nitric oxide synthesis, shedding light on mechanisms underlying heart failure, inflammation, and vascular dysfunction 🔍⚠️. Additionally, his research bridges into metabolic diseases such as diabetes, using natural products to modulate oxidative stress and apoptosis 🌿⚡. Recently, he’s contributed to uncovering vascular immune evasion mechanisms in cancer, offering potential therapeutic targets in immuno-oncology 💉🎯. Dr. Kosuru’s approach integrates cell biology, pharmacology, and translational medicine, making his work relevant for cardiovascular therapy, metabolic health, and immune modulation in vascular biology 🚑🧠.

🧠 Research Skills

Dr. Kosuru possesses a rich repertoire of technical skills across molecular pharmacology, vascular biology, and cell signaling 🧬🔬. He specializes in endothelial function assays, including calcium imaging, NO measurement, and store-operated calcium entry (SOCE) modulation 🔍🧪. His expertise extends to Western blotting, ELISA, qPCR, animal models of diabetes and ischemia-reperfusion injury, and natural compound-based drug discovery 🌿💊. Dr. Kosuru also brings solid experience in nanocarrier formulation, pharmacokinetics, and translational preclinical models, making him adept at bridging basic research and therapeutic application 🚀⚗️. He’s proficient in scientific communication, grant writing, manuscript preparation, and collaborative research leadership 🧠✍️. His integrative and multidisciplinary skill set is tailored for innovation in cardiovascular, metabolic, and inflammatory disease research 🔧💖.

🏆 Awards & Honors

Dr. Ramoji Kosuru has earned notable accolades throughout his academic and research journey 🏅🎓. He received the Richard S. Gallagher Fellowship from Versiti Blood Research Institute in 2021 🌟, recognizing his excellence in cardiovascular research. Earlier, he was honored with the Prof. Govind Achari Award by the Indian Pharmacological Society in 2017 for the best oral presentation 🗣️🏆. He has also held prestigious scholarships like the UGC Fellowship (2006–2008) and the Institute Teaching Assistantship from MHRD during his Ph.D. years 📘🎖️. These honors underline his academic rigor, innovation, and growing reputation as a leader in biomedical sciences 📚💼.

Publication Top Notes

1. Endothelial Rap1B mediates T-cell exclusion to promote tumor growth: a novel mechanism underlying vascular immunosuppression

Authors: GP Sharma, R Kosuru, S Lakshmikanthan, et al.
Journal: Angiogenesis, 2023, 26(2): 265–278
Citations: 7
Summary:
This study identifies a new role for endothelial Rap1B in suppressing immune cell infiltration into tumors, thereby facilitating tumor growth. It uncovers a novel mechanism of vascular immunosuppression.

2. Natural products targeting oxidative stress and cell death: Treatment potential in metabolic and cardiovascular diseases

Authors: R Kosuru, Y Cai, V Tiwari
Journal: Frontiers in Pharmacology, 2023, 14: 1141878
Citations: 5
Summary:
This review explores various natural compounds that influence oxidative stress and cell death, evaluating their therapeutic prospects for treating metabolic and cardiovascular diseases.

3. Role of AMPK in Myocardial Ischemia‐Reperfusion Injury‐Induced Cell Death in the Presence and Absence of Diabetes

Authors: N Kandula, S Kumar, VKK Mandlem, et al.
Journal: Oxidative Medicine and Cellular Longevity, 2022, Article ID: 7346699
Citations: 13
Summary:
The paper investigates how AMPK functions during myocardial injury due to ischemia-reperfusion, comparing effects in diabetic and non-diabetic conditions to understand its role in cardiac cell survival.

4. Formulation, Optimization, and In Vitro Characterization of Dasatinib Loaded Polymeric Nanocarriers to Extend the Release of the Model Drug

Authors: RK Sandeep Kumar Reddy Adena, Kasi Viswanadh Matte
Journal: International Journal of Applied Pharmaceutics, 2021, 13(5): 318–330
Citations: 4
Summary:
This research focuses on designing and optimizing polymeric nanoparticles for controlled release of Dasatinib, aiming to enhance its therapeutic profile.

5. Distinct signaling functions of Rap1 isoforms in NO release from endothelium

Authors: R Kosuru, B Singh, S Lakshmikanthan, et al.
Journal: Frontiers in Cell and Developmental Biology, 2021, 9: 687598
Citations: 9
Summary:
The study examines the individual roles of Rap1A and Rap1B proteins in regulating nitric oxide production from endothelial cells, revealing distinct signaling pathways.

6. Endothelial Rap1 restricts inflammatory signaling to protect from the progression of atherosclerosis

Authors: B Singh, R Kosuru, S Lakshmikanthan, et al.
Journal: Arteriosclerosis, Thrombosis, and Vascular Biology, 2021, 41(2): 638–650
Citations: 49
Summary:
This article highlights the protective function of endothelial Rap1 in vascular inflammation and atherosclerosis, demonstrating its potential as a therapeutic target.

7. Preclinical evidence of the therapeutic role of Pterostilbene: focus on the mitochondria

Authors: R Kosuru, MR Vijayakumar, S Singh
Book Chapter: Mitochondrial Physiology and Vegetal Molecules, 2021, Pages 301–315
Citations: 2
Summary:
This chapter reviews the mitochondrial benefits of pterostilbene based on preclinical evidence, discussing its potential utility in disease prevention and health promotion.

8. Adiponectin Facilitates Postconditioning Cardioprotection through Both AMPK-Dependent Nuclear and AMPK-Independent Mitochondrial STAT3 Activation

Authors: ZX Qiqi Zhu, Haobo Li, Xiang Xie, Xiaozhen Chen, Ramoji Kosuru, et al.
Journal: Oxidative Medicine and Cellular Longevity, 2020
Citations: 20
Summary:
The paper studies adiponectin’s cardioprotective effects post-ischemia by activating both AMPK-dependent and independent signaling, emphasizing its dual mechanism of action.

🏁 Conclusion

Dr. Ramoji Kosuru stands out as a transformative figure in biomedical research, particularly in vascular biology and metabolic disease. His trajectory from India to a leading U.S. research institute, combined with novel mechanistic discoveries, strong publication record, editorial leadership, and technical versatility, exemplifies excellence, innovation, and global relevance. He not only meets but exceeds the standards typically expected for the Best Researcher Award—making him a compelling and well-qualified nominee.

Lei Fan | Materials Science | Best Researcher Award

Published on by Phenomenological Research Awards

Dr. Lei Fan | Materials Science | Best Researcher Award

Doctor at Lei Fan, Shanghai University, China.

Lei Fan is a dedicated university teacher and researcher from Hangzhou, China, specializing in the fascinating world of nano-materials and their mechanical effects at the micro-nano scale. 🎓🔬 With a strong academic background and extensive research experience, Lei has contributed significantly to advancing knowledge in civil engineering and materials science. His work blends experimental studies with molecular dynamics simulations to improve material performance, especially focusing on graphene, carbon nanotubes, and cement composites. 📚🧪 He has published multiple high-impact papers, serves on editorial boards, and actively participates in international research projects. Lei is passionate about pushing the boundaries of nano-scale engineering while mentoring the next generation of researchers. 🌟👨‍🏫

Professional Profile

Scopus

ORCID

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Suitability For Best Researcher Award – Dr. Lei Fan

Lei Fan demonstrates a strong and well-rounded profile as a researcher with a dedicated focus on nano-materials and their mechanical effects at micro and nano scales. His interdisciplinary expertise in civil engineering, materials science, and computational simulations places him at the forefront of innovative research in nanomaterials. His consistent output of high-impact publications, involvement in competitive research funding, and active participation in editorial boards and scientific peer review highlight his leadership and influence in the academic community. Furthermore, his role as a mentor and educator shows his commitment to nurturing future researchers, a key attribute for an award recognizing overall excellence in research.

Education

Lei Fan completed his Doctorate in Civil Engineering 🎓 at Zhejiang University of Science & Technology, focusing on the mechanical properties of nano-materials. Before that, he earned his Master’s degree in Civil Engineering from Shanghai University 🏫. His educational journey has equipped him with a solid foundation in materials science and civil engineering, enabling him to explore cutting-edge topics in nano-scale phenomena. Throughout his studies, Lei developed expertise in micro-nano mechanics and computational simulations, blending theory and practical research. This strong academic background underpins his current innovative work. 📖✨

Experience

Lei Fan’s professional career combines academic teaching and research. Currently, he serves as a Master Tutor in Civil Engineering at Zhejiang University of Science & Technology 👨‍🏫, where he mentors graduate students and conducts advanced research. Since 2017, he has focused on the new mechanical effects of nano-materials and structures at the micro-nano scale 🔬. He has been involved in multiple funded research projects and collaborations, contributing to scientific advancements in nano-composites and cement-based materials. Lei also regularly reviews articles for prestigious journals and participates in academic committees, reflecting his active role in the scientific community. 🌐📝

Professional Development

Lei Fan is actively engaged in professional development through memberships and editorial roles. He is a member of the Royal Chemical Society (UK) 🇬🇧, demonstrating his global academic involvement. He also contributes as an editorial board member for the Journal of Materials and New Energy 📰, shaping youth research trends. Additionally, Lei serves as an invited reviewer for several high-impact SCI journals such as 2D Materials and Nanotechnology 🧾. His participation in national and regional research associations further highlights his dedication to advancing science. Continual involvement in funded projects keeps him at the forefront of research innovation. Lei’s commitment to learning, networking, and leadership helps him maintain an influential presence in his field. 🌟🔗

Research Focus 

Lei Fan’s research falls under Nanomaterials Science and Mechanical Engineering 🔬⚙️. He investigates the mechanical behavior and new effects of nano-materials like graphene oxide and carbon nanotubes, particularly their interactions at micro and nano scales. His work bridges materials science, civil engineering, and computational physics, focusing on how nano-structures enhance the properties of traditional construction materials like cement mortar 🧱. By studying interlayer stress transfer, hydration processes, and crack propagation at the nano level, Lei’s research contributes to developing stronger, more durable, and innovative materials for engineering applications. His interdisciplinary approach makes his research valuable for both scientific discovery and practical engineering solutions. 🧩🏗️

Research Skills 

Lei Fan excels in Experimental Nanomechanics and Computational Simulation 🧪💻. His expertise includes designing and conducting experiments to analyze nano-materials’ mechanical properties, such as stress transfer in graphene and carbon nanotube composites. He skillfully applies molecular dynamics simulations to explore nano-scale phenomena, providing deep insights into material behavior that are difficult to capture experimentally. Lei also integrates organic-inorganic synergy concepts to enhance cement-based materials. His skills encompass advanced microscopy, materials characterization, and data analysis, enabling him to bridge theory and practice effectively. This combination of hands-on experimentation and computational modeling is crucial for advancing nano-engineering research and developing innovative, high-performance materials. 🔍📊

Awards and Honors

Lei Fan has received significant recognition for his research contributions. He is a valued member of the Royal Chemical Society (UK) 🇬🇧, acknowledging his impact on materials science. His editorial board membership at the Journal of Materials and New Energy 📰 highlights his influence on emerging research. Lei has successfully secured competitive grants from prestigious bodies, such as the Natural Science Foundation of Zhejiang Province and the State Key Program of National Natural Science of China 🎖️, underscoring his excellence in research funding. Additionally, his role as an invited reviewer for top SCI journals confirms his respected status in the academic community. These honors reflect both his scholarly achievements and leadership in the field of nano-materials engineering. 🌟🏆

Publication Top Notes

1. An enhancement of timestamp-based password authentication scheme

Authors: L Fan, JH Li, HW Zhu
Journal: Computers & Security, Volume 21, Issue 7, 2002
Citations: 136
Summary:
Proposes improvements to timestamp-based password authentication schemes by enhancing security against replay attacks and synchronization issues.

2. Deniable authentication protocol based on Diffie-Hellman algorithm

Authors: L Fan, CX Xu, JH Li
Journal: Electronics Letters, Volume 38, Issue 14, 2002
Citations: 125
Summary:
Introduces a deniable authentication protocol using Diffie-Hellman key exchange, ensuring privacy by allowing parties to deny the communication after the fact.

3. Twinscoin: A cryptocurrency via proof-of-work and proof-of-stake

Authors: T Duong, A Chepurnoy, L Fan, HS Zhou
Conference: Proceedings of the 2nd ACM Workshop on Blockchains, Cryptocurrencies, and Contracts (2018)
Citations: 111
Summary:
Proposes Twinscoin, a hybrid cryptocurrency using both proof-of-work and proof-of-stake to improve blockchain security and efficiency.

4. 2-hop blockchain: Combining proof-of-work and proof-of-stake securely

Authors: T Duong, L Fan, J Katz, P Thai, HS Zhou
Conference: European Symposium on Research in Computer Security (ESORICS), 2020
Citations: 109
Summary:
Presents a secure 2-hop blockchain design combining proof-of-work and proof-of-stake to enhance scalability and robustness.

5. Building network attack graph for alert causal correlation

Authors: S Zhang, J Li, X Chen, L Fan
Journal: Computers & Security, Volume 27, Issues 5-6, 2008
Citations: 53
Summary:
Develops techniques to build network attack graphs that improve causal correlation of security alerts for better intrusion detection.

6. An efficient and robust aggregation algorithm for learning federated CNN

Authors: Y Lu, L Fan
Conference: Proceedings of the 3rd International Conference on Signal Processing, Communication and Computing (ICSPCC), 2020
Citations: 32
Summary:
Introduces an aggregation algorithm for federated learning of CNNs focused on efficiency and robustness in distributed environments.

Conclusion

Lei Fan exemplifies the qualities sought in a Best Researcher Award recipient through his innovative research contributions, academic leadership, and commitment to advancing the field of nanomaterials science. His blend of theoretical insight, experimental rigor, and mentorship marks him as a deserving candidate for this prestigious recognition