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.

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.

Mr. MOHAMMED ZEESHAN FAROOQ is an esteemed Professor in the Department of Information Technology (IT) at the prestigious Jawaharlal Nehru Technological University (JNTU). With over 15 years as a Trainer and Speaker, and two decades in IT and Oracle SQL and PLSQL Development, this professional is a seasoned expert. As a Research Scholar, they specialize in the dark web, holding a B.Tech and multiple Oracle SQL and PLSQL Development certifications. Their expertise includes Threat Intelligence, Web Application Vulnerability Testing, Automotive Oracle SQL and PLSQL Development, SOC Analysis, IoT Security, Dark Web Investigation, and more. They’ve delivered training globally to diverse sectors, earned certifications such as CISA and CEH, offer custom training programs, conduct takedowns for online abuse, and perform audits based on NIST 800-53, ISO 27001, and CoBIT standards.

Dr. Neeta Bhagat was Assistant Professor (Senior Grade) in the Department of Biotechnology at the Amity University. She received her Ph.D. Degree in Biomedical Sciences from Bundelkhand University in 2008. Then worked as a AP-III in AIB Institute for 15 years. She is having 22+ years of experience in the field of Microbiology, Biomedical Sciences, Pharmaceutical. Her area of expertise includes: Microbiology and Biomedical Sciences. She is the author of 20 +research articles and one book and guided PhD student, many M. Tech, M.Sc., B.Tech, B.Sc. students for project and dissertation work.

Dr. Rishi Kumar Singh is an Associate Professor in the Department of Biosciences at the IMS Ghaziabad (University courses Campus). He received his Ph.D. Degree in Environmental Biotechnology from Central University Assam, Silchar Campus and currently working as an Associate Professor in IMS Ghaziabad for last three Years. He is having more than 16 Years of Experience in the field of research and academics. His Area of Expertise includes: Environmental and Microbial Biotechnology, Industrial and fermentation technology and Plant tissue Culture. He is the author of several research articles and book chapters published in esteemed journals.

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

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. 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. 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. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.

Dr. Ali H. Wheeb is a Professor in the Computer Engineering College of Engineering at the University of Baghdad. He earned his PhD in Electrical and Electronic Engineering (2024) from UKM University and brings 10 years of experience in computer engineering along with 16 years in academia. His expertise spans computer engineering and networking, UAV systems, UAV routing protocols, and machine learning, including reinforcement learning. He has published widely and has received research grants and awards.