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.

Dr. Anupriya Rana was working as “Scientist B” in the department of Patanjali Herbal Research Division, Patanjali Research Foundation, Haridwar, India. She received her Ph.D. Degree in Botany (Nanotechnology) from Gyan Vihar University, Jaipur in 2024. She has been an alumna of University of Delhi, Gargi College, 2016 batch and received an academic silver medal in her Masters in 2018. She had more than 6 years of research (Scientist B, Research Associate and DST Research Fellow) and academic experience. Her specialization is in Plant Nanotechnological research, Project coordination, Agri-Product Marketing, botanical studies, plant morphophysiological stress and mutations, Plant tissue culture and Biosynthesis. She has published 4 original articles and 1 book chapter.

Dr. SWATI SOLANKI is a Senior Project Associate in the OLP project of the National Institute Of Science Communication and Policy Research (NIScPR) in CSIR-PUSA Campus New Delhi. She received his/her Ph.D.Degree in Biotechnology from Amity University in 2024 and earned 2 years of research experience in CSIR-NIScPR from 2017 to 2019. She is having 4 Years of Experience in the field of Wastewater remediation. Her area of Expertise includes Algal Bioremediation, Wastewater treatment, Bionanocomposites etc. She is the author of various research/review publications, Book chapters, magazines, and Chapters.

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. A.V. Ullas is an Assistant Professor in the Nanotechnology program at the Centre for Advanced Studies (CAS) AKTU Lucknow. He received his Ph.D.Degree in Applied Chemistry from Delhi Technological University(DTU) in 2018. Then worked as an Assistant Professor in Plastics Engineering at CIPET Lucknow from Aug 2017-2019. He later joined Nanotechnology program at CAS AKTU from September 2019. He is having 07 Years of Experience in the field of teaching. His area of expertise includes: polymer composites, processing, polymer testing, nanotechnology, etc. He is the author of 12 research articles and 16 conference proceedings in journals of repute and reviewer of several international journals.

Dr. Gargi Dutta is a PhD-trained chemist (Organometallic Chemistry, IIT Kanpur) with expertise in cobaloximes, porphyrin/corrole-based metal–organic frameworks (MOFs), and homogeneous/heterogeneous catalysis, including CO₂ fixation. She has held research roles at Technion (Israel) and IISc Bengaluru, and has served in industry as Research Manager at Sun Pharmaceutical Industries, focusing on analytical method development for APIs. She is also experienced in quality systems and standards through work with BIS and is an Assistant Professor (Senior Grade) with strong teaching and research supervision credentials.

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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).

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

Ayan Chawla is a Cloud Solution Architect specializing in Data & AI, with a proven track record of assisting at Top reputated Global MNC.

Dr. Atul Vashist is an Associate Professor in the Department of Biotechnology, School of Engineering and Allied Sciences (SEAS), Bennett University (Times of India Group), Greater Noida, India. He is the former Principal Scientist in the Department of Infection and Immunology, Translational Health Science and Technology Institute (THSTI), Faridabad, Haryana, India. He received his Ph.D. Degree in Biotechnology from National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra and earned his postdoctoral from All India Institute of Medical Sciences, New Delhi and Cornell University, Ithaca, USA. He has more than 15 years of research and teaching experience for conducting laboratory sessions in Microbial Genetics, Molecular Biology and Recombinant DNA Technology. His Area of Expertise include infectious diseases, molecular biology, protein chemistry, mycobacteriology, nuclear medicine, hydrogel technology. To date, he is the author of 20 research articles published in peer reviewed international Journals and authored Five Book Chapters etc.

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.