Mr. Selva Karthick M is a Quality Control Manager and Professor (Embryology Department) at OASIS Fertility, Hyderabad. He holds a B.Tech in Biotechnology and a PGDSCT in Stem Cells from Anna University and Loyola College (2005–2010). With 12 years of experience in IVF laboratories, he has worked as a Lab Manager and QC Manager, supporting quality systems and laboratory performance in assisted reproduction. His expertise spans stem cells, IVF lab quality management, and AI applications in reproductive medicine, and he has authored a book chapter on Artificial Intelligence in Assisted Reproductive Technology.

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. 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.

Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science.
Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science. She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.

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. A. O. Surendranathan is a Retired Professor in the Metallurgical & Materials Engineering Department of National Institute of Technology Karnataka. He received his Ph. D. Degree in Metallurgical Engineering from Mangalore University in 1994. Then continued to work as a Lecturer (Senior Scale) in National Institute of Technology for 2 Years. He is having 41 Years of Experience in the field of Metallurgical & Materials Engineering. His Area of Expertise includes Powder Metallurgy, Super plasticity, Lithium Battery, and Corrosion. He is the author of a book entitled, “An Introduction to Ceramics and Refractories”, recipient of 7 Project Grants. 7 awards etc.

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. 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.

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. Jyoti Gangane is a Professor in the E&TC Department at Vishwaniketan’s iMEET (University of Mumbai). She earned her PhD in Wireless Communication from the University of Malaga, Spain (2016) and brings 32 years of experience in Electronics and Telecommunication. Her expertise includes digital signal processing (DSP) and wireless communication, with strong experience in teaching, research, and academic leadership.

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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.