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Department: Department of Pharmacy
Affiliation: Pharmacy, Dali University, Dali city
Designation: Professor
Email: qkzh2003@aliyun.comCountry: China
Dr. Kezhen Qi got his Ph.D. degree in material chemistry and physics from Nankai University, China. Currently, he is a senior scientist at College of Pharmacy, Dali University. His research expertise is in semiconductor materials for environmental chemistry and energy conversion, with particular focus on photocatalysis. He has published nearly 100 papers in refereed journals, including Chemical Engineering Journal, Journal of Catalysis, Journal of Colloid and Interface Science, Chinese Journal of Catalysis, and so on. He has filed 5 patents on new functional semiconductor nanomaterials, which are promising for development of new energy and environmental application, etc. He has receives many research grants including National Natural Science Foundation of China, Postdoctoral Fund of China and Science Founding of Liaoning Province. He was honored with a Distinguished Young Scientist of Liaoning Province.
Department: Analytical Chemistry Laboratory
Affiliation: Analytical Chemistry Laboratory, Aristotle University of Thessaloniki, Thessaloniki
Designation: Professor
Email: girousi@chem.auth.grCountry: Greece
Prof. Dr. Stella Girousi is Professor of Analytical chemistry (member of the academic staff since 1999), currently serving in the Analytical Chemistry Laboratory at the School of Chemistry of the Aristotle University of Thessaloniki, Greece. She obtained her phD in Analytical Chemistry (1996) her research interests involve the development of innovative analytical methods, particularly voltammetric techniques for the determination of metals using various electrodes, including mercury, carbon, and mercury/bismuth thin film electrodes. Her research interests encompass the development and application of electroanalytical methods for analyzing biological, environmental, and food samples, as well as the detection of nucleic acids, proteins, and genotoxic compounds. Prof. Girousi has made significant contributions to the development of enzymic and electrochemical DNA biosensors, investigating drug-DNA interactions, DNA methylation, and the recognition of micromolar compounds using nanomaterials and screen printing technology. Throughout her career, Prof. Girousi has published numerous scientific articles in prestigious journals, showcasing her expertise in electroanalytical methods and biosensors. Her work has had a substantial impact on the fields of environmental analysis, pharmacology, and biotechnology.
Department: Department of Chemistry
Affiliation: Chemistry, Quaid-i-Azam University, Islamabad
Designation: Professor
Email: afzalshah@qau.edu.pkCountry: Pakistan
Dr. Afzal Shah is Professor of Chemistry in Quaid-i-Azam University (QAU) Islamabad. He obtained Postdoc from the University of Toronto in 2014. He is the author/coauthor of 350 articles in peer reviewed international journals, with h- index 56. He is editorial board member of 7 journals. Stanford University has recognized his contributions by including his name in top 2% World Research Scientists Ranking for four consecutive years since 2020. He is the recipient of several national and international awards including two Gold Medals, one at the university level and another at the national level (Pakistan Academy of Sciences, 2021), ACS Cash Award (2016) in recognition of his publication in the ACS flagship journal, Elsevier’s Royalty Award (2019) for his book contribution, Best Paper Award (2015), A-Category Research Productivity Award (2015) and multiple Performance-Based Annual Increment Awards (2012-2024). He is the recipient of certificate from the Royal Society for the most cited author of RSC Advances for the year 2024 and certificate from Elsevier for contributions to SDGs, His research interests include: Electrochemical sensors, biosensors and nanobiosensors, Sustainable development goals related to the nexus among health, energy and environment, Electron transfer in biological molecules, Sensors for the detection of toxic metal ions, Electrochemical recovery of precious metals, Electrochemical detection and photocatalytic degradation of water contaminants of emerging concern, Detection of food toxins for quality assurance, food safety and security, Sensors for the detection of cancer biomarkers, Forensic sensors for evidence analysis, Sensors for the analysis of NSAIDs and their metabolites, Redox responsive drug delivery devices, photoelectrochemical sensors for pathogens detection, Microbial fuel cells, Electrolyzers, Batteries, Supercapacitors, Electrocatalytic reduction of carbon dioxide and nitrates into valuable products.
Affiliation: School of Automation and Software Engineering, Shanxi University, Taiyuan
Department: Department of Automation and Software Engineering
Designation: Professor
Email: zrf@sxu.edu.cnCountry: China
Prof. Run-Fa Zhang is a Professor at the School of Automation and Software Engineering, Shanxi University, China. He holds a Ph.D. and specializes in neural networks, symbolic computation, mathematical physics, integrable systems, soliton theory, partial differential equations, large language models, artificial intelligence, and intelligent algorithms. Prof. Zhang has an extensive research record, with numerous publications in high-impact international journals such as Chaos, Solitons & Fractals, Nonlinear Dynamics, and IEEE Transactions on Industrial Informatics. He has also led and contributed to multiple funded research projects and holds several software copyrights and patents. His current research focuses on the integration of artificial intelligence with advanced mathematical methods for solving complex scientific and engineering problems.
Affiliation: IPCM, Sorbonne Universite, Paris
Department: Department of IPCM
Designation: CNRS Researcher
Email: dependu.dolui@sorbonne-universite.frCountry: France
Dependu Dolui is currently a CNRS researcher at Sorbonne Université and will soon be joining as an INSPIRE Faculty at the Indian Institute of Science Education and Research (IISER), Kolkata, having been awarded the prestigious DST-INSPIRE Faculty Fellowship granted to the top ~1% of young researchers in India. [He/She/They] earned [his/her/their] Ph.D. from the Indian Institute of Technology (IIT) Bombay in 2022, followed by postdoctoral research at Université Paris Cité and as a CNRS postdoctoral researcher at Sorbonne Université, France.
Affiliation: Chemistry, National Institute of Technology Andhra Pradesh, Tadepalligudem
Department: Department of Chemistry
Designation: Researcher
Email: punam.sclr@nitandhra.ac.inCountry: India
Punam Salaria received her Ph.D. in Chemistry from the National Institute of Technology (NIT) Andhra Pradesh, India in 2025. Her doctoral research focused on Molecular biology, computational drug discovery, employing molecular dynamic (MD) simulation, machine learning (ML) approaches, and bioinformatics to identify and characterize bioactive compounds targeting neurological diseases. Dr. Salaria’s current research interest lies at the intersection of artificial intelligence and material science, with particular emphasis on developing AI/ML-guided screening platforms for bioactive compounds and nitrogen reduction reaction (NRR) active materials. Her interdisciplinary work approach integrates quantum/molecular mechanics, and atomistic simulations to accelerate the discovery of functional materials for biomedical and energy applications. She has published several peer-reviewed articles in reputed journals including Chemistry & Biodiversity, Molecular Diversity, and Journal of Molecular Modeling, demonstrated expertise in computational chemistry, molecular biology, and data-driven materials design.