Yury Kozhedub | Physics and Astronomy | Cutting-Edge Phenomenological Research Award

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Dr.Yury Kozhedub | Physics and Astronomy | Cutting-Edge Phenomenological Research Award

Senior Scientist at Saint-Petersburg State University | Russia 

Dr. Yury Kozhedub is a distinguished physicist and senior researcher whose scientific career is marked by excellence in theoretical and computational physics, particularly in quantum electrodynamics (QED), relativistic atomic structure, and high-precision spectroscopy. He holds advanced degrees in physics, including a Ph.D. earned with distinction from Saint Petersburg State University, where he has since progressed through academic and research ranks to become a senior scientist in the Department of Physics. His early academic foundation, built on rigorous training in quantum theory and atomic physics, paved the way for a prolific research career dedicated to uncovering the fundamental interactions between matter and radiation under extreme conditions. Dr. Yury Kozhedub’s extensive professional experience includes leading and collaborating on numerous national and international research projects supported by the Russian Foundation for Basic Research, the President of the Russian Federation, the FAIR Research Center in Germany, and the Chinese Academy of Sciences. His scholarly contributions encompass more than 85 peer-reviewed scientific papers, accumulating 1,077 citations across 531 documents, with an h-index of 19 reflecting both the depth and global recognition of his work. His research focuses on precision QED calculations, relativistic many-body effects, and the study of highly charged ions, which have broad implications for advancing atomic theory, particle interactions, and astrophysical modeling. In addition to his groundbreaking research, Dr. Yury Kozhedub has collaborated with leading international laboratories, including GSI Darmstadt and the Institute of Modern Physics, Lanzhou, contributing to experiments that bridge theoretical predictions with empirical findings. His recent works published in Physical Review Letters and Physical Review A are widely cited for their innovative insights into supercritical Coulomb fields, QED corrections, and fine-structure phenomena. Through his dedication to advancing high-precision atomic physics, Dr. Yury Kozhedub continues to inspire new directions in phenomenological and quantum research, shaping the scientific understanding of complex physical systems and reinforcing his position as a leading contributor to modern physics and astronomy.

Profile: Scopus | Orcid

Featured Publications:

Kozhedub, Y. S. (2025). Effect of electron-electron interaction on pair production in supercritical collisions of highly charged ions. Chinese Physics C.

Kozhedub, Y. S. (2025). Double and single K-shell-vacancy production of xenon atoms by 95–197-MeV/u Xe54+ ion collisions. Physical Review A.

Kozhedub, Y. S. (2025). Three-dimensional calculations of positron creation in supercritical collisions of heavy nuclei. Physical Review D.

Kozhedub, Y. S. (2024). QED calculations of intra-L-shell singly excited states in Be-like ions. Physical Review A.

Kozhedub, Y. S. (2024). Positron supercritical resonances and spontaneous positron creation in slow collisions of heavy nuclei. Physics of Atomic Nuclei.

Kozhedub, Y. S. (2024). Orbital collapse of the 5g-electrons in the superheavy elements of the 8th period. Optics and Spectroscopy.

Kozhedub, Y. S. (2024). Ground-state potential and dipole moment of carbon monoxide: Contributions from electronic correlation, relativistic effects, QED, adiabatic correction, and nonadiabatic correction. Physical Review A.

Kozhedub, Y. S. (2024). Orbital collapse and dual states of the 5g electrons in superheavy elements. Physical Review A.

sejong kim | Engineering | Best Researcher Award

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Dr. Sejong Kim | Engineering | Best Researcher Award

Department of Civil Engineering at Hongik University | South Korea 

Dr. Sejong Kim is a distinguished researcher in civil and structural engineering, recognized for his advanced work on the durability and corrosion behavior of reinforced concrete structures in aggressive environments. His academic background is rooted in civil engineering, where he has developed a strong foundation in material science, electrochemistry, and infrastructure sustainability. Over the course of his academic and professional journey, Dr. Sejong Kim has focused on the interplay between carbonation and chloride-induced corrosion in steel reinforcements, applying both experimental and theoretical approaches to address the pressing challenges of structural degradation. His doctoral research and subsequent projects have led to the development of novel electrochemical and gravimetric assessment methods that provide deeper insight into the corrosion mechanisms of steel rebar, thereby enhancing the predictive accuracy of service life models for concrete structures. He has actively collaborated with research teams and industry professionals to develop corrosion monitoring systems and durability evaluation models for marine and urban infrastructure. His scholarly contributions include publications in high-impact journals such as Construction and Building Materials, Corrosion Science, and Buildings (MDPI), reflecting the scientific and practical relevance of his findings. In addition to his research, Dr. Sejong Kim has served as a reviewer for prominent international journals and has participated in interdisciplinary projects aimed at developing sustainable construction materials and smart corrosion monitoring technologies. His research interests encompass reinforced concrete durability, chloride and carbonation-induced deterioration, electrochemical monitoring, and the design of eco-efficient materials for infrastructure resilience. Through his commitment to advancing the field, Dr. Sejong Kim has contributed significantly to the understanding of corrosion mechanisms and the formulation of durability design standards that support long-term sustainability in civil infrastructure. His ongoing work continues to bridge the gap between laboratory innovation and real-world application, promoting safer, more durable, and environmentally conscious engineering practices that align with the future of sustainable urban development.

Profile: Orcid | Sciprofile

Featured Publications:

  • Kim, S., & Choi, J. K. (2025). Electrochemical and Gravimetric Assessment of Steel Rebar Corrosion in Chloride- and Carbonation-Induced Environments. Buildings.

  • Kim, H.; Yang, S.; Noguchi, T.; Yoon, S. (2023). An Assessment of the Structural Performance of Rebar-Corroded Reinforced Concrete Beam Members. Applied Sciences, 13(19), 10927.

Kai Jin | Computer Science | Best Researcher Award

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Dr. Kai Jin | Computer Science | Best Researcher Award

Lecturer at Sanya Research Institute of Hunan University of Science and Technology | China

Dr. Kai Jin is an accomplished researcher and academic whose work bridges the fields of computer science, artificial intelligence, and information engineering. With a strong educational foundation culminating in a Ph.D. in Computer Science and Technology from Hunan University, he has built a research career characterized by innovation, interdisciplinary collaboration, and practical impact. His professional experience spans both academia and industry, having served as a lecturer and researcher at the Sanya Research Institute of Hunan University of Science and Technology, as well as a software engineer in technology firms where he developed expertise in system architecture and Java-based solutions. Dr. Kai Jin’s scholarly contributions focus on network measurement, image recognition, and deep learning areas that are pivotal to advancing intelligent computing and data-driven technologies. He has authored six scientific papers published in high-impact journals and international conferences, including IEEE Transactions on Network Science and Engineering, Connection Science, and Scientific Reports. His work has earned 70 citations by 60 documents, with an h-index of 5, reflecting the growing influence of his research within the global academic community. In addition to publications, Dr. Kai Jin has secured four invention patents covering innovations in network traffic measurement, remote sensing image detection, brain tumor identification, and predictive maintenance for industrial IoT systems. His research projects, supported by national and provincial grants, such as the National Natural Science Foundation of China and the Hunan Provincial Key R&D Program, demonstrate a commitment to technological progress and societal benefit. Beyond his technical achievements, Dr. Kai Jin’s leadership in research collaborations and mentorship reflects his dedication to fostering the next generation of computer scientists. His current research continues to explore the integration of deep learning models with real-world systems, optimizing intelligent network management, and enhancing computational efficiency. Through his scientific rigor, creativity, and contributions to both theoretical and applied computing, Dr. Kai Jin has established himself as a leading voice in modern computer science, shaping innovations that address the complex challenges of today’s interconnected digital world.

Profile: Scopus

Featured Publications:

1. Jin, K., Xie, K., Wang, X., Tian, J., Xie, G., & Wen, J. (2022). Low-cost online network traffic measurement with subspace-based matrix completion. IEEE Transactions on Network Science and Engineering, 10(1), 53–67.

2. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2023). Low-cost network traffic measurement and fast recovery via redundant row subspace-based matrix completion. Connection Science, 35(1), 2218069.

3. Jin, K., Banizaman, H., Gharehveran, S. S., & Jokar, M. R. (2025). Robust power management capabilities of integrated energy systems in the smart distribution network including linear and non-linear loads. Scientific Reports, 15(1), 6615.

4. Zhu, M., Rasheed, R. H., Albahadly, E. J. K., Zhang, J., Alqahtani, F., Tolba, A., & Jin, K.* (2025). Application of fixed and mobile battery energy storage flexibilities in robust operation of two-way active distribution network. Electric Power Systems Research, 244, 111556.

5. Wen, J., Chen, Y., & Jin, K.* (2023, June). Revolutionizing network performance: The active and passive service path performance monitoring analysis method. In 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud) / 2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom) (pp. 1–6). IEEE.

6. Huo, Y., Jin, K., Cai, J., Xiong, H., & Pang, J. (2023). Vision Transformer (ViT)-based applications in image classification. In Proceedings of the 9th IEEE International Conference on High Performance and Smart Computing (HPSC 2023) (pp. 135–140). IEEE.

7. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2024). A acylthiourea based ion-imprinted membrane for selective removal of Ag⁺ from aqueous solution. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, Article 9 citations.

Basmah Alzamil | Management and Accounting | Best Researcher Award

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Dr. Basmah Alzamil | Management and Accounting | Best Researcher Award 

Assistant Professor at  Imam Mohammad Ibn Saud Islamic University (IMSIU) | Saudi Arabia

Dr. Basmah Alzamil is a dedicated academic and researcher in the field of management and accounting, recognized for her contributions to digital leadership, organizational behavior, and workplace innovation. She holds a Ph.D. in Business Administration from King Saud University, where she developed a strong foundation in strategic management, leadership, and research methodologies. Her educational background also includes a Master of Business Administration from Saginaw Valley State University in the United States and a Bachelor’s degree in Business Administration from King Saud University, both of which enriched her global and analytical perspective on business practices. Professionally, Dr. Basmah Alzamil serves as an Assistant Professor and Internal Consultant at Imam Mohammad Ibn Saud Islamic University, where she teaches courses in research methods, entrepreneurship, performance management, strategic management, and administrative leadership. Her previous experience as a lecturer and teaching assistant strengthened her pedagogical expertise and mentorship capabilities, enabling her to guide students in developing critical and creative thinking skills. Dr. Basmah Alzamil’s research focuses on the intersection of digital transformation, leadership, and employee behavior, with a particular interest in topics such as creative deviance, paradox mindset, workplace environment, and organizational socialization. She has authored impactful studies exploring how digital leadership influences employee innovation and workplace culture, with findings published in peer-reviewed journals like The Journal of Behavioral Science and the International Journal of Business Management and Economic Review. Her active participation in international conferences and training programs demonstrates her ongoing commitment to professional growth and academic excellence. Through her scholarly endeavors, she aims to advance understanding of how organizations can foster adaptive, innovative, and psychologically healthy environments amid rapid digitalization. Dr. Basmah Alzamil’s work reflects a balanced integration of theory and practice, offering meaningful insights into contemporary management challenges and contributing to the development of knowledge that supports sustainable and human-centered organizational success.

Profile: Orcid

Featured Publications:

Alzamil, B. S. (2025, November). Employees creative deviance in response to digitalization and knowledge: The mediating role of employees’ paradox mindset. Journal of Innovation & Knowledge.

Alzamil, B. S., & Alyafi, R. S. (2024). Perceived social support and workplace deviant behaviors: The mediating role of self-esteem in employees in Saudi Arabia. The Journal of Behavioral Science, 19(1), 51–67.

Alzamil, B. S., & Alyafi, R. S. (2022, April). Organizational socialization applicability, measurements, and theories: A systematic review and guideline for future research. International Journal of Business Management and Economic Review, 5(4), 219–239.

Iker Alonso González | Medicine and Dentistry | Best Researcher Award

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Mr. Iker Alonso González | Medicine and Dentistry | Best Researcher Award 

FACULTATIVO ESPECIALISTA MEDICO-TECNICO EN MICROBIOLOGÍA Y PARASITOLOGÍA at Cruces University Hospital | Spain

Mr. Iker Alonso González is a dedicated researcher and professional in the field of microbiology and clinical parasitology, recognized for his growing contributions to medical and pharmaceutical sciences. He holds a degree in Pharmacy from the University of the Basque Country (UPV/EHU) and has further specialized in Microbiology and Clinical Parasitology at Cruces University Hospital, where he continues to advance his expertise in infectious disease research and diagnostics. His professional experience at Osakidetza the Basque Health Service combines clinical practice with applied research, focusing on microbial resistance, infectious disease control, and antibiotic stewardship. He has presented numerous research communications, including fourteen posters and two oral presentations at the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), addressing critical topics such as antimicrobial resistance patterns in Shigella spp. and the clinical impact of post-treatment uroculture interventions. His scientific publication, “Multiresistant Aeromonas hydrophila bacteremia,” published in Enferm Infecc Microbiol Clin (Engl Ed), reflects his analytical approach and contribution to understanding emerging multidrug-resistant pathogens. His current research interests center around the development of evidence-based antimicrobial protocols, optimization of laboratory diagnostics, and epidemiological monitoring of infectious diseases in clinical settings. Mr. Iker Alonso González’s participation in national research forums and professional societies highlights his commitment to academic collaboration and scientific advancement. His early scholarly impact is reflected in his record of 2 citations by 2 documents, 3 published works, and an h-index of 1, indicating a promising trajectory in medical research. He is also engaged in continuous professional development, ensuring alignment with global standards in clinical microbiology and pharmaceutical practice. Through his rigorous research, clinical application, and scholarly engagement, Mr. Iker Alonso González exemplifies the integration of scientific inquiry and healthcare innovation, contributing to the ongoing efforts to enhance antimicrobial stewardship and patient outcomes in contemporary medicine.

Profile: Scopus

Featured Publications:

  • Alonso-González, I. (2025). Upper limb abscess due to an unusual Clostridium species in an immunocompetent child. Enfermedades Infecciosas y Microbiología Clínica.

  • Alonso-González, I. (2023). Sensitivity profile of Shigella spp. isolates in patients with travelers’ diarrhea in a tertiary hospital in the period 2017–2022. Presented at the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC).

  • Alonso-González, I. (2023). Impact of a PROA intervention on the request of non-proven post-treatment control urocultures. Presented at the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC).

  • Alonso-González, I. (2022). Multiresistant Aeromonas hydrophila bacteremia. Enfermedades Infecciosas y Microbiología Clínica

 

Barbara Ariue | Medicine and Dentistry | Best Researcher Award

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Dr. Barbara Ariue | Medicine and Dentistry | Best Researcher Award 

Dr. Barbara Ariue is a distinguished medical professional and academic leader specializing in pediatric allergy and immunology, recognized for her outstanding contributions to research, education, and clinical innovation. As an Associate Professor of Pediatrics at a leading medical institution, she has dedicated her career to advancing the understanding and management of pediatric asthma, allergic conditions, stinging insect allergies, and immunodeficiency disorders. Her academic journey reflects a deep commitment to excellence in both teaching and scientific inquiry, inspiring medical students and resident physicians to pursue evidence-based and compassionate patient care. Dr. Barbara Ariue’s research has significantly impacted the field, particularly through her pioneering project, “Addressing Knowledge Gaps in Diagnosing and Managing Inborn Errors of Immunity,” which received a planning grant from the Allergists’ Foundation Community Grant Program under the American College of Allergy, Asthma, and Immunology. The project evaluates diagnostic practices, interdisciplinary collaboration, and educational needs in managing immunodeficiencies, leading to her recent publication, “Lessons from the ACAAI Survey: Advancing the Diagnostic and Therapeutic Strategies for the Practicing Allergist-Immunologist,” in the Annals of Allergy, Asthma, and Immunology. Her scholarly output includes publications in prestigious journals such as Journal of Clinical Immunology, Pediatrics, and Biochemical and Biophysical Research Communications. In addition to her research, she serves as a consultant and advisory board member for various pharmaceutical organizations, contributing her expertise to clinical trials and therapeutic advancements in immunology. Professionally, she holds fellowships and leadership positions in numerous medical societies, including the American College of Allergy, Asthma, and Immunology, and the American Academy of Pediatrics, reflecting her influence in shaping professional standards in allergy and immunology. Her citation index demonstrates 168 citations by 168 documents, with 11 publications and an h-index of 6, underscoring the impact and reach of her scientific work. Dr. Barbara Ariue’s career embodies a balance of clinical dedication, academic leadership, and research excellence, with her contributions continually shaping the future of pediatric immunology and fostering global advancements in medical science and patient care.

Profile: Scopus | Orcid  

Featured Publications:

  • Oh, C. K., Ariue, B., Alban, R. F., Shaw, B., & Cho, S. H. (2002). PAI-1 promotes extracellular matrix deposition in the airways of a murine asthma model. Biochemical and Biophysical Research Communications, 294(5), 1155–1160.

  • Heimall, J., Keller, M., Saltzman, R., Bunin, N., McDonald-McGinn, D., Ariue, B., … Markert, M. L. (2012). Diagnosis of 22q11.2 deletion syndrome and Artemis deficiency in two children with T-B-NK+ immunodeficiency. Journal of Clinical Immunology, 32(5), 1141–1144.

  • Cho, S. H., Hall, I. P., Wheatley, A., Ariue, B. K., Abraha, D., Delmundo, J., & Oh, C. K. (2001). The possible role of plasminogen activator inhibitor-1 gene in the development of asthma. Journal of Allergy and Clinical Immunology, 107.

  • Ariue, B. K., Cho, S. H., Tam, S. W., & Oh, C. K. (2001). 142 Analysis of airway remodeling genes in human mast cells by cDNA microarrays. Journal of Allergy and Clinical Immunology, 107.

  • Ariue, B. K. & Oh, C. K. (2005). Chapter 43 – Anaphylaxis (in book chapter). In Pediatrics. Mosby Inc.

  • Ariue, B. K. & Oh, C. K. (2005). Chapter 48 – Insect allergies (in book chapter). In Pediatrics. Mosby Inc.

  • McDonnell, J., Angarola, B., Ariue, B., Arnold, D. E., Assa’ad, A. H., Aytekin, C., … Bleesing, J. (2024). COVID-19 vaccination in patients with inborn errors of immunity reduces hospitalization and critical care needs: a USIDNET report. Journal of Clinical Immunology.

Lwin Saing | Plants Taxonomy | Best Researcher Award

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Prof. Lwin Saing | Plants Taxonomy | Best Researcher Award

Professor at  Ministry of Higher Education,Myanmar | Myanmar

Prof. Lwin Saing is a highly accomplished botanist and academic leader serving at the Ministry of Higher Education, Myanmar, and the Department of Botany, Mohnyin University. She holds a Ph.D. in Botany with a specialization in Plant Taxonomy and Evolution from the University of Yangon, where her doctoral research focused on the taxonomy and systematics of wild cereal species in Myanmar’s Tanintharyi coastal region. With over two decades of teaching and research experience, she has contributed significantly to advancing the understanding of Myanmar’s diverse flora through her expertise in taxonomy, systematics, and environmental conservation. Her extensive research encompasses wild plants taxonomy, evolutionary studies of grasses and cereals, and the conservation of endangered species. Prof. Lwin Saing has led and collaborated on numerous research projects under the Ministry of Higher Education, focusing on biodiversity conservation, endangered species classification, and ecological sustainability. She has published widely in national and international journals, including MDPI’s Plants, and has received several prestigious awards recognizing her scientific excellence, such as multiple Best Research Awards from the Ministry of Higher Education and distinguished recognitions from major universities in Myanmar. She has also supervised a large number of postgraduate theses, contributing to the development of future researchers in taxonomy and environmental science. In addition to her research, she actively participates in regional academic initiatives, including the South and Southeast Asian University Network, and represents Myanmar in international biodiversity programs. Her involvement in SEAMEO and UNESCO workshops reflects her commitment to advancing sustainable education and promoting ecological awareness. Prof. Lwin Saing’s work bridges taxonomy, ecology, and conservation, playing a vital role in preserving Myanmar’s botanical heritage while contributing to global plant science. Through her research, mentorship, and leadership, she continues to inspire a new generation of botanists, positioning herself as a key figure in Southeast Asia’s efforts toward sustainable biodiversity management and scientific innovation in plant taxonomy.

Profile: Orcid | Researchgate 
Featured Publication:

Saing, L. M. (2025). Evolutionary trends of some wild cereal from In-Daw-Gyi Lake, Mohnyin Township, Kachin State. Myanmar Academy of Arts and Science Journal, 24(1).

Saing, L. M. (2024). The differences in morphological characters between some wild species of genus Mussaenda Burm. ex L. Universities Research Journal, 14(5).

Saing, L. M. (2023). Significant differences in morphological characters of Poaceae and Cyperaceae families. Myanmar Academy of Arts and Science Journal, 22(1).

Saing, L. M. (2023). Studying the characters of taxonomy and evolution in giant grass and some crops derived from grass. Mohnyin University Research Journal, 3(2).

Saing, L. M. (2022). Distinct spot characters of some variegated foliage leaves species in Mohnyin University campus. Mohnyin University Research Journal, 2(2).

laiba Sultan Dar | Time series analysis | Best Researcher Award

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Ms. laiba Sultan Dar | Time series analysis | Best Researcher Award 

Phd Student at Abdul wali khan university | Pakistan

Ms. Laiba Sultan Dar is a dedicated researcher and Ph.D. scholar at Abdul Wali Khan University, specializing in time series analysis and decomposition techniques. Her academic journey is marked by a strong foundation in applied mathematics and data analytics, enabling her to contribute effectively to statistical modeling, forecasting, and computational research. She has developed expertise in identifying patterns and trends within large datasets, applying modern analytical frameworks to address complex problems in areas such as economics, climate studies, and system optimization. Her research integrates both theoretical and empirical approaches, focusing on improving the precision and interpretability of time-dependent models. Through her doctoral studies, she has actively engaged in institutional research projects and contributed to scholarly publications in recognized international journals, including those indexed by Scopus and ScienceDirect. Her work demonstrates a balance between mathematical rigor and practical application, particularly in designing adaptive models for real-world data forecasting. In addition to her academic pursuits, Ms. Laiba Sultan Dar has shown growing involvement in research collaborations and interdisciplinary studies that bridge statistical science and technological innovation. Her ability to combine methodological sophistication with computational efficiency has made her research relevant to emerging domains such as artificial intelligence-driven data analysis and predictive modeling. She continuously enhances her research capabilities by incorporating advanced tools and techniques, fostering a deeper understanding of time series dynamics. With a citation index reflecting the recognition of her early scholarly efforts, she remains committed to producing impactful research that advances statistical methodologies and contributes to data-driven decision-making. Her intellectual curiosity and analytical acumen position her as a promising researcher in quantitative sciences. Ms. Laiba Sultan Dar’s long-term goal is to strengthen the integration of mathematical modeling with applied sciences, promoting innovation and scientific development in her field. Her commitment to excellence, collaborative mindset, and ongoing pursuit of research excellence make her a deserving candidate for recognition among emerging scholars in data analytics and statistical research.

Profile: Google Scholar

Featured Publications:

  • Dar, L., Akmal, A., Naseem, M. A., & Khan, K. U. D. (2011). Impact of stress on employees’ job performance in the business sector of Pakistan. Global Journal of Management and Business Research, 11(6), 1–4.

  • Dar, L. A., Naseem, M. A., Rehman, R. U., & Niazi, G. S. (2011). Corporate governance and firm performance: A case study of Pakistan oil and gas companies listed in Karachi Stock Exchange. Global Journal of Management and Business Research, 11(8), 1–10.

  • Malik, M., Wan, D., Dar, L., Akbar, A., & Naseem, M. A. (2014). The role of work-life balance in job satisfaction and job benefit. Journal of Applied Business Research (JABR), 30(5), 1627–1638.

  • Dar, L. S., Aamir, M., Khan, Z., Bilal, M., Boonsatit, N., & Jirawattanapanit, A. (2022). Forecasting crude oil price volatility by reconstructing EEMD components using ARIMA and FFNN models. Frontiers in Energy Research, 10, 991602.

  • Dar, L. S., Aamir, M., Bibi, S., & Bilal, M. (2025). A novel robust adaptive decomposition approach for solar energy potential using atmospheric transparency and UV radiation indicators. Journal of Radiation Research and Applied Sciences, 18(4), 101946.

  • Dar, L. S., Aamir, M., Hamraz, M., Faiz, N., Emam, W., & Tashkandy, Y. (2025). A robust adaptive signal decomposition method for enhanced mode extraction in financial time series. IEEE Access.

  • Saleem, Q., Dar, L., Shahid, M., & Rana, S. (2012). A quantitative analysis of the role of human resource development in economic growth in Pakistan. International Journal of Management Sciences and Business Research.

  • Bilal, M., Aamir, M., Abdullah, S., Mahmood, N., Khalil, U., Khalid, N., Ahmed, M., & Dar, L. (2022). Assessment of the COVID-19 pandemic’s impact on gasoline prices in Pakistan. VFAST Transactions on Mathematics, 10(2), 52–67.

Shuo Jiang | Physics and Astronomy | Best Researcher Award

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Dr. Shuo Jiang | Physics and Astronomy | Best Researcher Award

Postdoctor at University of Chinese Academy of Sciences | China

Dr. Shuo Jiang is a distinguished physicist and postdoctoral researcher at the University of Chinese Academy of Sciences, recognized for his innovative contributions to the fields of non-Hermitian optics, micro nano photonics, and optical sensors. He earned his Laurea degree in Optoelectronic Information Science and Engineering from Qufu Normal University and completed his Ph.D. in Optics at Beihang University, where he conducted extensive research on advanced photonic systems. His academic journey reflects a strong commitment to exploring the interplay between light and matter, with a focus on developing next-generation optical devices and precision sensors. Dr. Shuo Jiang ’s research has resulted in 115 citations by 113 documents, 8 publications, and an h-index of 5, reflecting the scholarly impact and scientific relevance of his work. He has authored and coauthored several influential papers in internationally reputed journals such as Optics Letters, Applied Physics Letters, Journal of Applied Physics, Optics Express, Physical Review A, and the Journal of the Optical Society of America B. His studies contribute to the advancement of photonics, emphasizing innovative approaches to light manipulation, device miniaturization, and non-Hermitian system analysis. Dr. Shuo Jiang ’s collaborative research efforts extend across academic and industrial settings, promoting global scientific cooperation and the application of optical principles in technology-driven fields such as communications, sensing, and energy systems. His current projects involve investigating micro-nano photonic structures with high sensitivity and stability, bridging the gap between theoretical optics and experimental device engineering. As a dedicated researcher, he continues to pursue excellence in physics and astronomy, aspiring to advance scientific understanding and technological innovation in photonic engineering. With his growing academic footprint and dedication to interdisciplinary collaboration, Dr. Shuo Jiang exemplifies the next generation of researchers driving transformative progress in optical science. His consistent publication record, strong citation impact, and active engagement in collaborative projects establish him as a promising scientist with the potential to lead groundbreaking research in modern optics and photonics on a global scale.

Profile: Scopus

Featured Publications:

  • Jiang, S., Li, J., & Li, Z. (2024). Optics Letters, 49(14), 3954–3957.

  • Jiang, S., Li, J., & Li, Z. (2023). Applied Physics Letters, 123(20).

  • Jiang, S., Xiao, Z., & Li, W. (2022). Journal of Applied Physics, 131(10), 103106.

  • Jiang, S., Chang, X., & Li, W. (2019). Journal of the Optical Society of America B, 36(9), 2618–2623.

  • Jiang, S., Zhang, H., & Han, P. (2020). Journal of Applied Physics, 128(13).

  • Jiang, S., Han, P., & Zhou, Y. (2021). Optics Express, 29(19), 30436–30448.

  • Jiang, S. (2021). Mode Hopping Elimination Method of FMCW Lidar Based on Phase Splicing. Bandaoti Guangdian Semiconductor Optoelectronics.

Mohammad Karimi | Energy | Best Researcher Award

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Mr. Mohammad Karimi | Energy | Best Researcher Award 

Expert at University of Mohaghegh Ardabili | Iran

Mr. Mohammad Karimi is a highly accomplished researcher in the field of petroleum and energy engineering, recognized for his innovative contributions to the study of reservoir behavior, overburden pressure, and water block removal in oil wells. He holds a Bachelor’s and Master’s degree in Production and Drilling Engineering from Omidieh Petroleum University and is currently pursuing a Ph.D. in Chemical Engineering at the University of Mohaghegh Ardabili, Iran. Throughout his career, Karimi has combined strong theoretical knowledge with extensive field experience gained from working with major Iranian oil and gas companies, where he contributed to multiple industrial and academic projects aimed at improving oil recovery processes and energy system efficiency. His research focuses on developing new mathematical models and experimental methods to calculate overburden pressure, water block dynamics, and mutual solvent interactions in petroleum reservoirs. His publications in leading journals such as Elsevier’s Journal of Petroleum Science and Engineering, Journal of Molecular Liquids, Petroleum Chemistry, and International Journal of Petroleum Engineering reflect the high quality and international relevance of his work. He has presented his research at global conferences organized by professional bodies such as the European Association of Geoscientists and Engineers (EAGE) and has authored book chapters addressing formation damage and reservoir modeling. In recognition of his groundbreaking research, he received the World Championship in Production Engineering from the International Agency for Standards and Ratings and was credited with the invention of the milli-Karimi unit for acid expansion measurement in oil, gas, and water wells. He also serves as an outstanding reviewer for Elsevier’s Journal of Petroleum Science and Engineering, underscoring his professional excellence and contributions to peer-reviewed research. His current scholarly profile lists 2 citations by 2 documents, 2 published works, and an h-index of 1, highlighting a growing trajectory in academic visibility. With a commitment to advancing petroleum science and promoting sustainable energy solutions, Mr. Mohammad Karimi continues to bridge the gap between experimental research and industrial application, positioning himself as a rising expert capable of driving innovation in the global energy research community.

Profile: Scopus

Featured Publications:

  • Karimi, M. H., (2014). Highly compact co-poly(amide-imide)s from polycondensation of an imide-modified derivative of L-aspartic acid. E-Polymers, 14(6), 1–10.

  • Karimi, M. H., (2013). Equations to calculate the overburden pressure in water layers of definite dimensions using experimental, macroscopic, and microscopic data. Journal of Petroleum Science and Engineering, 101, 68–74. Elsevier.