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

Published on by Phenomenological Research Awards

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

Published on by Phenomenological Research Awards

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

Published on by Phenomenological Research Awards

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

Published on by Phenomenological Research Awards

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

Published on by Phenomenological Research Awards

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.