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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.

Dr. Kusuma Jagadish is a Postdoc in the Department of Materials Engineering at the Indian Institute of Science, Bengaluru, India. She received her Ph.D. Degree in Nanotechnology from Jain (Deemed-to-be) University in 2020 and earned her postdoctoral from Indian Institute of Science, Bengaluru, India. She is having nine (9) Years of Experience in the field of Material Science/Nanotechnology. Her Area of Expertise includes: Material Synthesis – Energy materials and Photovoltaics (Third generation solar cells)
She is the author of 21 articles published in peer reviewed journals and recipient of WISE- KIRAN PDF awards, 2024.

Dr. Shiv Kumar Verma is a Professor in the Department of Computer Science and
Applications at the Sharda University
he received his Ph.D. Degree in Mathematical Computing from IIT
Roorkee in 2014 and earned his postgraduate from IIT Roorkee in Computer
Applications. Then worked as a Professor in Department of Computer Science
and Applications of Sharda School on Engineering and Technology of Sharda University for one
Years. He/she is having 25 Years of Experience in the field of Mathematics and Computer
Science. Her/his Area of Expertise includes: Machine Learning, Medical Imaging, and
Mathematical Computing.

Dr. Rajasekhar Reddy Poonuru is a Professor in the Pharmaceutics Department of St. Peter’s Institute of Pharmaceutical Sciences at the Kakatiya University. He received his Ph.D. Degree in 2017 from Jawaharlal Nehru Technological University, Hyderabad in 2017. Then worked as a Associate Professor in St. Peter’s Institute of Pharmaceutical Sciences University for 20 Years. He is having 20 Years of Experience in the field of Pharmaceutics His Area of Expertise includes: Novel Drug delivery systems, Coprecipitates, Solubility Enhancement, Bioavailability Improvisation, Brain drug delivery and Topical and transdermal drug delivery systems. He is the author of several articles in national and international Peer review Journals recipient of Received 4.2 lakhs grant from TSCOST for carrying research titled “A Cost Effectiveness Analysis of Rosuvastatin against Atorvastatin in The Primary and Secondary Prevention of Cardiovascular diseases And Stroke” and 3 Lakhs grant for conducting CEP by Pharmacy Council of India titled “New Paradigms in Teaching — Learning Process; Best oral presentation award at 73rd Indian Pharmaceutical Congress, 2024, Hyderabad; Best Poster Presentation at NIPER, Hyderabad 2023 Etc.

Mr. Keshan is an AI/ML researcher, educator, and technologist with a strong academic foundation (M.Tech. in AI & ML) and over a decade of teaching experience. His expertise lies in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. He has been actively teaching and mentoring in AI-related fields for the past three years, with experience spanning academic institutions and industry professionals across India, UK, Belgium, and USA.

He has designed and delivered structured, application-driven AI and ML courses, focusing on conceptual clarity, hands-on learning, and real-world problem-solving. His teaching philosophy emphasizes bridging the gap between academic fundamentals and industry applications, empowering learners to apply AI practically in domains such as education, healthcare, sustainability, and automation.

Committed to making technology accessible, he actively develops free AI education programs for underprivileged girls worldwide. With a background that combines technical expertise, research acumen, and global teaching experience, he is passionate about leveraging technology to drive meaningful societal impact.

Mrs. Gurpreet Kaur holds an MCA degree from Punjab Technical University (2010) and has over 7 years of IT industry experience as a Senior Software Developer in various companies. Her expertise lies in front-end technologies, data structures, and algorithms (DSA).

Dr. Mohd Zamir Pakhuruddin is currently the Director at Institute of Nano Optoelectronics Research and Technology (IDNOR) and a lecturer at School of Physics, Universiti Sains Malaysia (USM), Penang, Malaysia. He spent about 8 years in industry as a Senior Engineer of Photolithography and Sputtering (R&D) in SilTerra and Fuji Electric, Kulim Hi-Tech Park respectively. He received his PhD in Photovoltaics Engineering at University of New South Wales(UNSW), Australia. His expertise is in Photovoltaic materials and devices (PVMD). His current research includes black silicon, perovskite and organic solar cells for conventional, solar windows and indoorphotovoltaic applications. To date, he has published more than 40 research papers in the field of photovoltaic. He has been a keynote speaker and an invited speaker in international conferences, seminars and trainings on topics related to the physics of solar cells, optics and light-trapping, photovoltaic technologies andphotovoltaic manufacturing. He is a Professional Technologist (Ts.) in Green Technology, which is awarded by Malaysia Board of Technologists (MBOT).

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. Upma Pal is an Assistant Professor in the Department of Biotechnology at the Gautam Buddha University. She received her Ph.D. Degree in Dairy Microbiology from ICAR- NATIONAL DAIRY RESEARCH INSTITUTE in 2022. Then worked as an Assistant professor at Gautam Buddha University. She has 5 Years of Experience in the field of Bioethanol production utilizing dairy waste. Her Areas of Expertise include: bioethanol production, yeast development, metabolic engineering, gene expression ,etc.