Baptiste Pigno | Environmental and Climate Statistics | Best Researcher Award

Published on 31/10/202531/10/2025 by Statistics

Prof. Baptiste Pignon | Environmental and Climate Statistics | Best Researcher Award

National Institute of Health and Medical Research (INSERM) | France

Prof. Baptiste Pignon is a distinguished psychiatrist and researcher affiliated with the Department of Psychiatry, INSERM, Fondation FondaMental, Hopitaux Universitaires Henri Mondor, Creteil, France. His research primarily focuses on the intersections of psychiatry, environmental health, and public health epidemiology, with particular attention to the mental health impacts of climate change and environmental stressors. Prof. Pignon has made substantial contributions to the study of psychiatric emergencies, mood and psychotic disorders, and their associations with climatic variables such as temperature, air pollution, and green exposure. His interdisciplinary expertise integrates psychiatric epidemiology, biostatistics, and environmental psychology, enabling him to explore how external environmental determinants affect the onset, severity, and healthcare utilization patterns in mental illnesses. He has collaborated extensively with national and international research consortia, including the CONSTANCES cohort and the Fondation FondaMental network, fostering data-driven insights into mental health determinants across diverse populations. Prof. Pignon has authored and co-authored more than 131 scientific documents, including peer-reviewed journal articles, book chapters, and conference proceedings, reflecting his dedication to advancing psychiatric research. His scholarly impact is evidenced by an h-index of 21 and over 2,385 citations (as indexed in Scopus), marking him as one of the leading French researchers in the field of environmental psychiatry. His recent works have explored nuanced factors such as school holidays, thermal comfort indices, and contextual variables in understanding psychiatric outcomes related to extreme temperatures-addressing methodological limitations in prior global studies. Beyond his contributions to research, Prof. Pignon is also deeply involved in clinical practice and academic mentorship, guiding early-career psychiatrists and epidemiologists in methodological rigor and evidence-based approaches to mental health. His investigations-such as the case-crossover analyses of psychiatric emergencies in response to thermal variations-have provided critical implications for health policy, climate adaptation strategies, and mental health preparedness in urban and suburban contexts. Through his commitment to translational research, Prof. Baptiste Pignon continues to shape the understanding of how environmental and climatic stressors influence psychiatric morbidity and health system responses, bridging scientific inquiry and clinical application to improve patient outcomes and public resilience amid accelerating climate challenges.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Bitar, Z., ZareSakhvidi, M. J., Lequy, E., Lafontaine, A., Lemogne, C., de Hoogh, K., et al. (2024). Surrounding residential greenness and mental health: Findings from the French CONSTANCES cohort. SSRN. Manuscript No. 5166266.

Frileux, S., Faivre, N., Urbach, M., Vidal, N., Bottemanne, H., Berna, F., et al. (2025). Flowers for Algernon: How metacognition affects quality of life in schizophrenia. Structural equation modeling with the FACE-SZ cohort.

Barbosa, S., Tamouza, R., Leboyer, M., Aouizerate, B., Andrieu, C., Andre, M., et al. (2025). Prediction of relapse in a French cohort of outpatients with schizophrenia (FACE-SZ): Prediction, not association. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 111304.

Brenaut, E., Godin, O., Leboyer, M., Tamouza, R., Assan, F., Pignon, B., et al. (2024). Association entre les troubles psychotiques et le psoriasis/rhumatisme psoriasique: Étude à partir des données du Système national des données de santé. Annales de Dermatologie et de Vénéréologie-FMC, 4(8), A314–A315.

Bitar, Z., Lequy, E., Lemogne, C., De Hoogh, K., Goldberg, M., Lafontaine, A., et al. (2024). Mediating effect of physical activity on the association between surrounding greenness and mental health: Findings from the French CONSTANCES cohort. ISEE Conference Abstracts, 2024(1).

Kiran Sree Pokkuluri | Machine Learning and Statistics | Excellence in Research Award

Published on 31/10/202531/10/2025 by Statistics

Prof. Dr. Kiran Sree Pokkuluri | Machine Learning and Statistics | Excellence in Research Award

Shri Vishnu Engineering College For Women | India

Prof. Dr. Kiran Sree Pokkuluri is a distinguished academician, researcher, and innovator in the field of Artificial Intelligence and Machine Learning with an illustrious career of academic and research excellence. Currently serving as Professor and Head of the Department of Computer Science and Engineering at Shri Vishnu Engineering College for Women, he has significantly contributed to advancing computational intelligence and data-driven innovation in academia and industry. He holds a Ph.D. in Artificial Intelligence from JNTU-Hyderabad and has an impressive scholarly record with over 100 research publications in reputed SCI and Scopus-indexed journals, a citation count exceeding 653, an h-index above 13, and an Documents exceeding 152, reflecting the global impact of his research. His research areas include Deep Learning, Healthcare Analytics, Bioinformatics, IoT Power Optimization, Big Data Analytics, and Cloud Computing. Dr. Sree has authored six textbooks with ISBNs on Artificial Intelligence, Machine Learning, and Deep Learning, and has filed and published six patents in the domains of AI and intelligent systems. His innovations such as the Hybrid Deep Neural ZF Network (HDNZF-Net) have set new benchmarks in real-time speech enhancement for speech-impaired individuals and IoT optimization. He has completed five major funded projects and collaborated with premier institutions including Stanford University through the UIF program, fostering cross-disciplinary innovation. A recognized thought leader, Dr. Sree serves as Editor-in-Chief, editorial board member, and reviewer for multiple international journals. His remarkable achievements have earned him prestigious recognitions like the Bharat Excellence Award and Rashtriya Ratan Award, and he has been featured in Marquis Who’s Who in the World. As Global Vice President of the World Statistical Data Analysis Research Association (WSA) and a member of professional bodies such as IEEE, ISTE, CSI, and IAENG, Dr. Kiran Sree continues to inspire excellence in AI-driven research, education, and technological innovation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Venkatachalam, B., Pokkuluri, K. S., Suguna Kumar, S., Dhandapani, A., & Bhonsle, M. (2025). Adaptive fuzzy heuristic algorithm for dynamic data mining in IoT integrated big data environments. Journal of Fuzzy Extension and Applications, 6(3), 615–636.

Pokkuluri, K. S., Sarkar, P., Birchha, V., Mathariya, S. K., Veeramachaneni, V., & others. (2025). Intelligent reasonable optimization for virtual machine provisioning in hybrid cloud using fuzzy AHP and cost-effective autoscaling. SN Computer Science, 6(7), 1–15.

Sivanuja, M., Raju, P. J. R. S., Prasad, M., RR, P. B. V., Kumar, K. S., & Pokkuluri, K. S,. (2025). A novel ensemble-based deep learning framework combining CNN and transfer learning models for enhanced wildfire detection. In Proceedings of the 2025 International Conference on Computational Robotics, Testing and Applications.

Alzubi, J. A., Pokkuluri, K. S., Arunachalam, R., Shukla, S. K., Venugopal, S., & others. (2025). A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network. Scientific Reports, 15(1), 17594.

Pokkuluri, K. S., Chandanan, A. K., Mishra, A. K., Jyothi, D., Lavanya, M. S. S. L., & others. (2025). Deep learning-enhanced intrusion detection and privacy preservation for IIoT networks. In Proceedings of the 2025 4th International Conference on Distributed Computing and Electrical Systems.

Muhammad Mansab | Financial Statistics and Analytics | Young Scientist Award

Published on 31/10/202531/10/2025 by Statistics

Mr. Muhammad Mansab | Financial Statistics and Analytics | Young Scientist Award

Liaoning Technical University | China

Mr. Muhammad Mansab is a researcher and engineer whose academic and professional trajectory reflects strong expertise in manufacturing engineering, sustainable supply chain management, and artificial intelligence applications. He holds a Bachelor of Science in Electrical Technology from the University of Lahore and a Master of Science in Project Management from the Superior College Lahore, both with outstanding academic results. His professional background includes extensive industrial experience as a Production Engineer at Escorts (Pvt. Ltd), Lahore, where he led projects involving electrical systems, energy metering, and continuous process optimization under USAID AMI initiatives. Currently affiliated with Liaoning Technical University as a Research Assistant, he contributes to advanced studies in green supply chain management, focusing on financial barrier mitigation, green bonds, and public–private partnership risk reduction. Mansab has authored and co-authored several peer-reviewed documents in areas such as sustainable manufacturing, artificial intelligence in healthcare, social commerce adoption, and human-factor reliability in intelligent construction. His scholarly record includes over 8 citations, an h-index of 1, and 2 indexed documents, reflecting an emerging research profile. Proficient in SPSS, R, Smart PLS (SEM), and Python, he integrates data-driven approaches to enhance firm performance through green innovation mediation. Recognized for academic excellence with the HEC Merit Scholarship and multiple international faculty development programs, he is also known for cross-cultural collaboration between China and South Asia, and is fluent in English and Urdu with basic proficiency in Mandarin.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Sadiq, S., Kaiwei, J., Aman, I., & Mansab, M. (2025). Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption. European Research on Management and Business Economics, 31(1), 100268.

Hassan, S., Irfan, D., Nasim, F., Yakoi, P. S., Mansab, M., & Zubair, S. (2024). Room occupancy detection using IoT sensor data and machine learning. International Journal of Social Science Archives (IJSSA), 7(3).

Lixia, N., Jia’ao, W., Mansab, M., Wen, S., & Fenglian, X. (2025). Study on human factor reliability under the dynamic evolution of intelligent lifting construction accidents. American Journal of Multidisciplinary Research and Innovation.

Tapur, A., Ishtiaque, M., & FengYi, J. (2024). Artificial intelligence in healthcare: Ethical considerations and potential impact in Pakistan. International Journal of Social Science Archives (IJSSA), 7(3).

Lixia, N., & Mansab, M. (2025). Overcoming financial barriers in GSCM: Strategies for sustainable manufacturing in China and Pakistan. Process Integration and Optimization for Sustainability, 1–24.

Tao Zhong | Machine Learning and Statistics | Best Researcher Award

Published on 31/10/202531/10/2025 by Statistics

Dr. Tao Zhong | Machine Learning and Statistics | Best Researcher Award

Sun Yat-sen University | China

Dr. Zhong Tao is a dedicated interdisciplinary researcher specializing in environmental engineering, material science, and computational modelling. A native of Chongqing, China, he is a member of the Communist Party of China and currently based in Guangzhou. He earned his Bachelor’s degree in Environmental and Ecological Engineering with a minor in Computer Science and Technology from Sichuan Agricultural University, followed by a Master’s in Environmental Science and Engineering from Guangxi University under Prof. Yu Zebin, and is pursuing his Doctor of Engineering (Ph.D.) in Resources and Environment at Sun Yat-sen University under Prof. He Chun. His research focuses on the design and development of high-activity environmental functional materials for atmospheric and water pollutant removal, catalytic ozonation, and clean-energy catalysis, including hydrogen production via water splitting. He also employs Density Functional Theory (DFT) to analyze catalytic materials and pollutant molecular structures, building structure–property relationships to guide experiments. Dr. Zhong has contributed to 31 SCI-indexed papers, including 11 as first or co-first author, and applied for 5 patents, with 4 granted. His ongoing research includes national and provincial projects as principal investigator or key contributor. He has received multiple national and university-level scholarships and awards for academic excellence, innovation, and leadership. His Scopus metrics reflect a growing international influence, with an h-index of 10, 22 documents, and over 343 citations, underscoring his strong academic productivity. Known for his rigorous research approach, interdisciplinary collaboration, and mentoring of peers and students, Dr. Zhong also pursues interests in history, literature, and sports, maintaining an optimistic, resilient, and disciplined outlook that complements his scientific career.

Profiles: Scopus

Featured Publications

Guo, X., Yao, Z., Long, X., Zeng, L., Wang, C., Fang, Z., Zhong, T., Tian, S., Shu, D., & He, C. (2025). Recent advances in tailored nanostructured ozonation catalysts for enhanced VOCs removal: Synergistic optimization of scale configuration and electronic microenvironment.

Zhong, T., Yao, Z., Zeng, L., Zhao, H., Long, X., Li, T., Tian, S., & He, C. (2025). Manipulating spin-configuration via electron reverse overflow to dynamically tune the adsorption behavior of sulfur-containing intermediates for enhanced sulfur resistance.

Ruchi singh Parihar | Biostatistics and Epidemiology | Best Researcher Award

Published on 30/10/202530/10/2025 by Statistics

Assist Prof. Dr. Ruchi singh Parihar | Biostatistics and Epidemiology | Best Researcher Award

Christ University | India

Assist Prof. Dr. Ruchi Singh Parihar is a distinguished climate scientist and Assistant Professor in the Department of Statistics and Data Science at CHRIST (Deemed to be University), Bangalore, whose research embodies a unique integration of climate science, epidemiology, and data-driven modeling. With a Ph.D. in Climate Change and Health jointly awarded by IIT Delhi and Graphic Era University, her scholarly journey reflects a deep commitment to understanding the nexus between climate variability, disease transmission, and human health. Dr. Parihar’s expertise spans climate and atmospheric modeling, remote sensing, GIS applications, numerical simulations, and environmental health risk assessment, focusing particularly on vector-borne diseases such as malaria. Her according to Scopus includes more than 36 peer-reviewed publications, accumulating over 30 citations and an h-index of 3, with studies featured in prestigious journals such as Nature Scientific Reports, GeoHealth, and the International Journal of Biometeorology. She has held research and visiting positions at globally renowned institutions, including the Institute for Basic Science (IBS), South Korea, and the International Centre for Theoretical Physics (ICTP), Italy, where she continues as an Associate. Recognized with several international Travel and Research Grants from organizations like NSF (USA), UNESCO/IAEA, and Rutgers University, Dr. Parihar actively contributes to international scientific dialogues on climate and health through presentations at major conferences including AGU, EGU, and Gordon Research Conferences. Her memberships in leading professional societies such as AGU, EGU, AOGS, ISNTD, and AWIS highlight her active role in advancing collaborative global science. Dr. Parihar’s pioneering contributions lie in her ability to combine statistical modeling, climate projections, and epidemiological simulations to forecast disease transmission patterns under future climate scenarios, thereby influencing both academic research and public health policy on a global scale.

Profiles: Scopus | Google Scholar

Featured Publications

Bal, P. K., Kumar, D. S., Parihar, R. S., & Saini, A. (2025). Changing climate and its impacts on the dynamics of future malaria transmission over certain endemic regions in India. Scientific Reports, 15(1), 35412.

Parihar, C. M. Q. D. R. S. (2025). Women, health, and the climate emergency. American Journal of Biomedical Science and Research.

Parihar, R. S. (2025). Climate variability and its impact on vector-borne diseases: Using numerical/statistical modeling. In IntechOpen.

Franzke, C. L. E., & Parihar, R. S. (2025). Time of emergence and future projections of extremes of malaria infections in Africa. GeoHealth, 9(6), e2025GH001356.

Franzke, C. L. E., & Parihar, R. S. (2025). Time of emergence and future projections of extremes of malaria transmission dynamics in Africa region. European Geosciences Union (EGU25-2188), Vienna, Austria.

Qiaolei Jiang | Social and Behavioral Statistics | Excellence in Research Award

Published on 30/10/202530/10/2025 by Statistics

Prof. Qiaolei Jiang | Social and Behavioral Statistics | Excellence in Research Award

Tsinghua University | China

Prof. Qiaolei Jiang is a distinguished Chinese scholar and tenure-track Full Professor at the School of Journalism and Communication, Tsinghua University, Beijing. Her research expertise spans human-media interaction, ICT for development, digital inclusion, computational social science, and media psychology. She has made significant contributions to understanding how digital media and technology influence human behavior, health, and social inclusion, particularly in the context of China’s evolving digital landscape. Dr Jiang has published extensively in high-impact international journals, including Technology in Society, Journal of Documentation, The Lancet Public Health, Journal of Behavioral Addictions, Frontiers in Psychiatry, and Information Processing & Management. Her scholarly output demonstrates both interdisciplinary depth and global relevance, addressing themes such as internet addiction, smartphone dependency, media use among youth and older adults, and the psychological dimensions of human-AI interaction. She is also the author of the monograph Internet Addiction among Cyberkids in China: Risk Factors and Intervention Strategies, which consolidates her early theoretical and empirical research on digital behaviors. According to Scopus, Dr. Jiang has published 36 indexed documents, accumulated over 979 citations, and holds an h-index of 17, reflecting her consistent academic influence in communication and behavioral sciences. Beyond her research, she serves as Associate Editor for Technology in Society and sits on editorial boards of leading international journals such as Scientific Reports and Frontiers in Health Communication. She has also served as topic editor for research collections focusing on consumer mental health and socially responsible media use. Dr Jiang has been recognized with numerous academic honors, including the Young Scholars Dissertation Award from the Chinese University of Hong Kong, the Young Scholar Award from Communication Policy Research South, and the Schiller Award from the International Association for Media and Communication Research. Her career reflects a blend of scholarly rigor, editorial leadership, and cross-cultural engagement. Through her continued contributions to research and mentorship, Dr Qiaolei Jiang remains a leading voice in media and communication studies, advancing understanding of how technology and society co-evolve through human-centered, evidence-based inquiry.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Cai, W., Zhang, C., Jiang, Q., Zhang, S., Bai, Y., Callaghan, M., Chang, N., Chen, B., Chen, H., Cheng, L., Dai, H., Fan, W., Guan, D., Hu, Y., Hu, Y., Hua, J., Huang, C., Huang, H., Huang, J., Huang, X., Ji, J. S., & Gong, P. (2024). The 2024 China report of the Lancet Countdown on health and climate change: Launching a new low-carbon, healthy journey. The Lancet Public Health.

Zhang, Z., Yue, Y., & Jiang, Q. (2025). Being tired but still gaming? Exploring associations between gaming motivations, passion, gaming burnout and quitting intentions. Technology in Society, 103120.

Wu, R., Yu, C., Pan, X., Liu, Y., Zhang, N., Fu, Y., Wang, Y., Zheng, Z., Chen, L., Jiang, Q., et al. (2024). MindShift: Leveraging large language models for mental-states-based problematic smartphone use intervention. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24). ACM.

Jiang, Q., Zhang, Y., & Pian, W. (2022). Chatbot as an emergency exit: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic. Information Processing & Management, 59(6), 103074.

Jiang, Q., Cheng, Y., & Cho, S. K. (2021). Media coverage and public perceptions of the THAAD event in China, the United States, and South Korea: A cross-national network agenda-setting study. Chinese Journal of Communication, 14(4), 386–408.

Ahmad Abuhani | Machine Learning and Statistics | Best Researcher Award

Published on 27/10/202527/10/2025 by Statistics

Assist Prof. Dr. Ahmad Abuhani | Machine Learning and Statistics | Best Researcher Award

Middle East University | Jordan

Assist Prof. Dr. Ahmad Abuhani is an accomplished Assistant Professor of Interior Design at the Faculty of Engineering and Design, Middle East University, Amman, Jordan, known for his distinguished academic, artistic, and research achievements. He earned his B.Sc., M.Sc., and Ph.D. in Interior Design from the Moscow State University of Applied Arts named after S.G. Stroganov, Russia, where he specialized in interior composition, architectural planning, and the artistic formation of traditional Jordanian housing. His doctoral research, titled “The Construction System and Technical Composition of the Interior Design of the Jordanian Home,” demonstrates his dedication to blending cultural identity with modern design principles. Dr. Abu Hani has held several academic and administrative positions, including Head of the Interior Design Department at Middle East University, Amman University, and Yarmouk University. His teaching expertise covers a wide range of design areas such as architectural drawing, color theory, space planning, and professional practice. His scholarly contributions include publications in international journals and conferences focusing on design aesthetics, visual communication, and creative methodology. His research interests span fine and applied arts, architectural design, descriptive geometry, and color theory. A member of the Fine Artists Association (Amman) and the International Council of Societies of Industrial Design (ICSID), he also serves as a reviewer for Horizon Research Publishing and participates in multiple academic committees and juries. Dr. Abu Hani has exhibited his work in 15 personal and 9 collective exhibitions across Jordan and Russia, receiving prestigious awards including first place in national art competitions and recognition from the Ministry of Culture, Dr. Abu Hani continues to make impactful contributions to the fields of interior design, applied arts, and creative education, combining innovation with cultural and academic excellence.

Profiles: Orcid | Google Scholar

Aladji Abatchoua Madi Madi Ibram | Multivariate Statistical Analysis | Best Researcher Award

Published on 25/10/202525/10/2025 by Statistics

Dr. Aladji Abatchoua Madi Madi Ibram | Multivariate Statistical Analysis | Best Researcher Award

University of Ebolowa | Cameroon

Dr. Aladji Abatchoua Madi Madi Ibram is a distinguished academic and researcher currently serving as the Head of the Department of Biological Sciences Applied to Agriculture at the University of Ebolowa, Cameroon. He holds a Ph.D. in Genetics and Plant Breeding, with a specialized focus on genetic variability, plant improvement, and sustainable agricultural development. As a lecturer, he teaches a wide range of subjects including Mendelian and Morganian genetics, quantitative traits genetics, and seed production. His research primarily emphasizes improving crop yield and nutritional quality in economically important plants, thereby contributing to both food security and human health. Dr. Aladji Abatchoua’s scientific contributions have been recognized across several reputed platforms such as Springer, BMC, Nature Portfolio, Scientific American, Palgrave Macmillan, and Adis. He has published over 14 research papers in internationally indexed journals, showcasing his dedication to advancing plant genetics and breeding. His collaborative research with the University of Ngaoundéré and the University of Yaoundé 1 has further enhanced the understanding of genotype–environment interactions, particularly in crops like sesame and peanut, to identify stable and high-yielding varieties suitable for diverse agro-ecological zones. Beyond his research endeavors, he actively contributes to the academic community as a reviewer for several international journals, including the Journal of Plant Sciences, International Journal of Genetics and Genomics, and Journal of Plant Studies, ensuring the maintenance of high-quality peer-reviewed publications. His commitment to scientific excellence has been acknowledged through multiple certificates of excellence in peer reviewing from reputable international journals such as BP International and the Journal of Experimental Agriculture International. Through his academic leadership, innovative research, and dedication to agricultural advancement, Dr. Aladji Abatchoua Madi Madi Ibram continues to play a pivotal role in fostering agricultural innovation and scientific integrity in Cameroon and beyond.

Profiles: Orcid

Featured Publications

Aladji Abatchoua Madi Madi Ibram. (2025). Genetic analysis of common bean (Phaseolus vulgaris L.) for root traits, yield components and seed yield. Journal of Applied Genetics.

Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Published on 24/10/202524/10/2025 by Statistics

Dr. Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Sinomune Pharmaceutical Co. Ltd | China

Dr. Om Sambhaji Shelke is a highly accomplished pharmaceutical scientist with extensive expertise in the formulation and development of topical, semisolid, solid, and liquid drug products. Holding a Ph.D. in Pharmacy and an M. Pharmacy from Savitribai Phule Pune University, he has over a decade of experience across global markets including the US, EU, China, Hong Kong, and India. Currently serving as Chief Scientist at Sinomune Pharmaceutical Co. Ltd. in Wuxi, Jiangsu, China, Dr. Shelke leads the development of generic topical products for the NMPA market. He is skilled in Quality by Design (QbD)-based development of creams, ointments, gels, shampoos, and solutions, with specialization in novel formats such as emulgel, organogel, nanogel, solid lipid nanoparticles, suspensions, and toothpaste. He also holds three granted patents and has published multiple scientific and technical articles. Throughout his career, he has received multiple awards recognizing his innovation, knowledge sharing, and leadership, including the StarFire Award. Dr. Shelke has held pivotal roles at leading pharmaceutical and consumer healthcare companies such as Prinbury Biopharm Co. Ltd., Encube Ethicals Pvt Ltd., Bright Future Pharmaceuticals Ltd., Unilever Industries Pvt Ltd., Abbott Healthcare Pvt Ltd., Dr. Reddy’s Laboratories, and Glenmark Pharmaceuticals Ltd., contributing to both regulatory-compliant NDA, ANDA, and 505(b)(2) products as well as OTC, cosmetic, and personal care formulations. His professional journey reflects a consistent commitment to scientific excellence, innovative product development, and leadership in cross-functional teams, positioning him as a prominent figure in global pharmaceutical research and development.

Profiles: Google Scholar | Orcid

Featured Publications

F. Jie, O. Shelke, Z. Yijie, C. Yulan, & L. Yongbo. (2025). Q1 and Q2 selection, Q3, IVRT, IVPT, pharmacokinetic and pharmacodynamic evaluation of topical generic product. Drug Development and Industrial Pharmacy, 51(6), 555–565.

J. Feng, O. S. Shelke, Y. Chen, Z. Zhang, X. Tang, & Y. Zhu. (2025). IVRT and IVPT of desonide lotion and cream: Correlation with human bioequivalence study. Journal of Pharmaceutical Innovation, 20(5), 196.

S. Krishna Phani Chandra, S. Om Sambhaji, & N. Shorgar. (2025). Quantification of leniolisib in rat plasma using LC-MS/MS: Method development, validation, and pharmacokinetic study. African Journal of Biological Sciences, 7(7), 121–142.

S. Om. (2025). Editorial article: The transformative impact of AI in pharmaceutical drug product development. Insights of Pharmatech, 1(2), 1.

S. Gadge, O. S. Shelke, R. Pingale, P. Palande, S. Tandale, P. Sonawane, … (2025). Development and evaluation of a polyherbal neem-based emulgel enriched with herbal oils for enhanced topical delivery and antibacterial efficacy. Journal of Chemical Health Risks, 15(3), 2189–2209.

Fatih Durmaz | Environmental and Climate Statistics | Best Researcher Award

Published on 24/10/202524/10/2025 by Statistics

Mr. Fatih Durmaz | Environmental and Climate Statistics | Best Researcher Award

Selcuk University | Turkey

Mr. Fatih Durmaz is an accomplished scholar and researcher in Analytical Chemistry at the Department of Chemistry, Faculty of Science, Selcuk University, Türkiye, where he currently serves as a Dr. Faculty Member. He earned his Ph.D. in Chemistry from Selcuk University’s Graduate School of Natural and Applied Sciences, following his master’s and undergraduate studies at the same institution. Mr. Durmaz has made significant contributions to the fields of chromatography, gas chromatography, HPLC column packing materials, trace element determination, industrial oil and water analysis, and membrane separation technologies. His scientific achievements are reflected in an impressive research output of over 29 Scopus-indexed documents, accumulating more than 424 citations and maintaining an h-index of 11, underscoring his substantial influence within the analytical and materials chemistry community. Mr. Durmaz has authored numerous high-impact publications in leading international journals such as Applied Physics A, Materials Science in Semiconductor Processing, Journal of Electronic Materials, Inorganic Chemistry Communications, Desalination and Water Treatment, and Talent. His work often explores environmentally sustainable synthesis methods, nanomaterial-based photodiode devices, and innovative chromatographic systems for chemical analysis. He has also served as a principal investigator and project leader for several national and international research initiatives, including collaborations with the European Commission and Austrian Institute of Technology. Beyond research, Mr. Durmaz has mentored graduate students, supervised multiple theses, and contributed actively to conferences, highlighting his dedication to academic excellence and scientific advancement. His expertise in combining green chemistry principles with analytical innovation continues to position him as a leading figure in chemical sciences and applied analytical research.

Profiles: Scopus | Orcid

Featured Publications

Karadeniz, S., Yıldız, D. E., Yıldırım, M., Mirza, S., Durmaz, F., & Barıs, B. (2025). Investigation of illumination effects on photovoltaic features of Al/p-Si Schottky diode with different amount of mixed PANI: Rubrene interface. Journal of Materials Science: Materials in Electronics, 36(9).

Dilber, A., Hussaini, A. A., Durmaz, F., Ulukus, D., & Yıldırım, M. (2025). Fabrication of hydrophobic waste-based microfibers incorporated with green synthesized metal oxides for oil/water separation applications. Waste and Biomass Valorization.