Mr. Keshan is an AI/ML researcher, educator, and technologist with an M.Tech in AI & ML and 10+ years of teaching experience. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. Over the past three years, he has actively mentored students and professionals across India, the UK, Belgium, and the USA, delivering application-driven courses focused on conceptual clarity and hands-on learning. He also leads free AI education initiatives for underprivileged girls globally, using technology to create meaningful social impact

Dr. Abhishek Aher is a Project Scientist at the Centre for Cellular & Molecular Biology. He received his Ph.D. Degree in anti-cancer research from Centre for DNA Fingerprinting & Diagnostics, Hyderabad, in 2023 and earned his postdoctoral from Lab of Immunology, CDFD Then working as a Project Scientist in CCMB. He has 9 Years of Experience in the field of Cancer drug discovery & development. His Area of Expertise includes Drug Discovery & Development for Cancer & Parkinson’s Disease. He is the author of 9 research articles many awards.

Dr. Shiv Kumar Verma is a Professor in the Department of Computer Science and Applications at Sharda University. He earned his PhD in Mathematical Computing from IIT Roorkee (2014) and completed his postgraduate studies in Computer Applications from IIT Roorkee. With 25 years of experience across mathematics and computer science, his expertise includes machine learning, medical imaging, and mathematical computing, with strong experience in teaching, research, and academic leadership.

Dr. Debashree De is a seasoned scientific writer (Ex-novartis) with 15 years of research experience. She received her Ph.D. Degree in Structural Biology and Biochemistry from CSIR-Indian Institute of Chemical Biology in 2012 and earned her postdoctoral from Centro di Rierca E. Menni, Fondazione Poliambulanza- Istituto Ospedaliero, Brescia, Italy. She worked as a Scientific Research Writer and Lead Development Manager for BrainAura, a startup company based out of India and the UK and also as a senior scientific writer in novartis. She has 15 Years of Experience in the field of peptide biochemistry. Her area of expertise includes: Structural biology and biochemistry, Scientific writing, Real World Evidence. She is the author of 14 publications (manuscripts, reviews, book chapters) with one of her review article on her research being the focus of a news article . She is also the member of prestigious peptide societies, reviewer of journal PlosOne as well as the recipient of CSIR and ICMR senior fellowships. She has successfully optimized methodologies for the study of amyloid beta aggregate destabilization on Surface Plasmon Resonance (published).

Dr Shiv Singh is a Scientist and Assistant Professor at the Council of Scientific & Industrial Research-Advanced Materials and Process Research Institute. He received his Ph.D. Degree in Chemical Engineering from the Indian Institute of Technology Kanpur, Kanpur in 2015 and earned his postdoctoral from the Korea Institute of Materials Science, South Korea. Then worked as a DST INSPIRE Faculty in CSIR-Indian Institute of Toxicology Research, Lucknow for 3 Years. He is having ~8 Years of Experience in the field of Nanomaterials & Electrochemistry. His Area of Expertise includes: Microbial fuel cell, Microbial electrolysis cell, CO 2 reduction, Electrochemical sensors etc. He is the author of approximately 50 prestigious journals with an average Impact factor ~9, Also recipient of many Grants, awards etc from International and National authorities (DST, CSIR, European Union etc).

Prakriti Sharma is an AI mentor, engineer, and Founder of Chaifluence, where she applies AI to build innovative and authentic influencer marketing strategies. Currently an AI Engineer at Tata Consultancy Services, she collaborates with Google’s Business Unit to develop generative AI models focused on responsible, high-impact solutions. A strong advocate for AI ethics, she also holds certifications including Google Cloud Professional Engineer. A Delhi University computer science graduate and former Robotics Club President, she mentors aspiring AI professionals and organizations adopting AI responsibly.

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. R. Sharma is an Associate Professor in the Department of Ocean Engineering, IIT Madras (Chennai). He earned his B.E. in Civil Engineering from IIT Roorkee (1994), completed an M.Tech in Ocean Engineering (1999), and received his PhD from IIT Kharagpur (2008). His research focuses on the design, analysis, and production of marine structures, along with marine robotics and dynamic data-driven forecasting systems. He is actively engaged in advancing ocean engineering solutions through interdisciplinary research that bridges structural engineering, robotics, and predictive modeling.

Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.

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. 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.