Sneh Lata is a Senior Research Fellow at the CSIR-Indian Institute of Toxicology Research, specialising in developing advanced analytical methods for environmental and biological samples. She holds a Master of Science in Forensic Science from the University of Delhi. She has extensive experience utilising sophisticated analytical instruments such as LC-MS/MS, GC-MS/MS, and ICP-OES. Her research focuses on wastewater remediation, heavy metals, and pesticide analysis, with a strong background in metabolomics and structure elucidation of plant molecules. She is a member of the Society of Toxicology (SOT) and the American Chemical Society (ACS). She has published several articles while actively participating in international conferences, sharing her nanotechnology and environmental science expertise.

Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.

Dr. Nabeel Ahmad is Dean at School of Allied Sciences and Professor in the Department of Biotechnology, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India. Over 14 year of teaching, research and administrative experience. He has published several research papers in National and International peer reviewed journals. He also served as Editor in three books on nanobiotechnology namely 3 D Printing Technology in Nanomedicine, Intelligent Nanomaterials for Drug Delivery Applications and Emerging Nanotechnologies for Medical Applications published by Elsevier Pennsylvania USA. He also serving as eminent member of Editorial Board of Journal of International repute. In addition to that, seven patents are also in his credit on nanobiotechnology and discussion is going on to transfer the technology to three organizations to commercialize the same. The same has already been highlighted in the National news papers. Recipient of prestigious fellowship including the Teachers Associateship for Research Excellence (TARE) fellowship under Science and Engineering Research Board (SERB) Department of Science & Technology (DST) New Delhi. He is the Fellow of Linnean Society (FLS) London. His areas of research are nanobiotechnology, nanosensors, and bioprocess engineering.

Advocate with expertise in Legal Research, Teaching, and Litigation, passionate about the intersection of Law and Artificial Intelligence.

Dr. Kumar earned his PhD in Computer Science & Engineering (2021) from UPES, Dehradun, with research focused on semantic information extraction using deep learning, particularly for agricultural applications. He is also pursuing a postdoctoral fellowship at Universidad Internacional Iberoamericana, Mexico. A prolific researcher, he has published 21+ SCI/SCIE-indexed articles and additional Scopus publications, contributed to books and book chapters, and holds a granted patent. He has supervised PhD candidates and delivered workshops and T3 sessions in machine learning, business analytics, and optimization, with interests spanning deep learning, IoT, and cybersecurity.

Dr. Mian Adnan Kakakhel is a Research Associate in the College of Hydraulic and Environmental Engineering at China Three Gorges University, Yichang, China. He earned his PhD from Lanzhou University (2022) and completed his postdoctoral research at China Three Gorges University (2025). With 3+ years of research experience in aquatic biology, toxicology, and nanotechnology, his work focuses on emerging pollutants, aquatic pollution, nano-toxicity, and fisheries-related research, including fish physiology and behavior.

Dr. Mahima Sharma is an Associate Professor in the Science and Humanities Department (Physics) of Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan. She received her Ph.D. Degree in Nanoscience and Nanotechnology from Amity Institute of Nanotechnology, Amity University Uttar Pradesh, Noida in 2020. Then worked as a Lecturer in Government Engineering College, Jhalawar Rajasthan for 3 Years. she is having 7 Years of Experience in the field of physics. Her Area of Expertise includes: Nanotechnology, Water Remediation, Nanocomposites, Functional Nanomaterials, Synthesis of Nanomaterials, Characterization of Nanomaterials, Photocatalysis, Adsorption.

Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.

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Mr. Rajnish Tandon is a seasoned industry professional with 35+ years of global experience across India, the USA, and Europe, spanning Sales Management, IT Operations, SAP Implementation, and AI/ML. He is a guest faculty at institutions including Chandigarh University, NIFT Delhi, and IIM Kashipur, where he teaches AI/ML, Blockchain, and Critical Thinking. He completed an M.Tech in AI-ML from BITS Pilani (2024), holds an MBA from FMS (1996), and a B.E. in Mechanical Engineering from MNIT Jaipur (1985).

Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.

Dr. Chitra Dhawale is a Professor in the Science and Technology Department of Datta Meghe Institute of Education and Research (Deemed to be University). She received her Ph.D. Degree in Computer Science from S.G.B.Amravati University in 2009. She is having 25+ years of teaching and research experience in computer science. Her area of Expertise includes: Data Science, Machine Learning, Deep Learning, Python Programming, R Programming, Tableau. She/he is the author of 02 books, 08 book chapters and 78 research papers.