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.

Mr. Karan Singh Choudhary is the Founder of Unity Law Attorneys, a law firm based in Delhi. Mr. Singh is also a Distinguished Member – International Council of Jurists (London). Mr. Singh has an Experience of more than 5 years in the field of law. His Area of Expertise includes: Commercial law, information technology, consumer and writ cases, arbitrations, etc. He has secured notable orders such as protected the houses of many residents from being demolished in South Delhi by securing stay order from Delhi High Court.

Sanjay Bhargava is a results-driven business and technology management consultant with 3+ years of experience leading large-scale digital transformation, IT service delivery optimization, and corporate training, with a strong specialization in Artificial Intelligence. As a Business IT Management Consultant at Ignite IT Consulting & Educational Services, he helps organizations leverage AI, RPA, GenAI (LLM/RAG), and automation to drive efficiency and growth, using design thinking and cross-functional global delivery models.

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.

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 Harishchander Anandaram is an Assistant Professor at Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India. He received his Ph.D. Degree in Bioengineering from Sathyabama Institute of Science and Technology, Chennai, in 2020. In his PhD thesis, he worked on pharmacogenomics and miRNA- regulated networks in psoriasis, a joint project with Georgetown University, USA, JIPMER, INDIA, CIBA, INDIA, and ILS, INDIA. His thesis illustrated a multi-disciplinary approach by combining computational biophysics and molecular biology machine learning. Also, he had the opportunity to collaborate with international researchers and have publications in reputed international journals in bioinformatics and systems biology simultaneously. He has received the prestigious “Young Scientist Award” from “The Melinda Gates Foundation” for his research abstract on “The Implications of miRNA Dynamics in Infectious Diseases”. To date, he has reviewed more than 200 manuscripts in systems biology. He is currently working on predicting Novel lead molecules and biomarkers using computational techniques to target inflammatory pathways associated with infectious and autoimmune disorders.

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.

I am working as a Scientist at D-Nome Pvt.Ltd., which is incubated at university of Hyderabad.
I received my bachelor’s Degree in Biochemistry & Chemistry from University of Kashmir in 2018 and earned my master’s in Biochemistry from the same university. Then worked as project associate in Molecular Biology lab at Indian Institute of science Bangalore for 4 Years. I am having 4 Years of Experience in the field of Molecular Biology. My area of Expertise include Molecular Biology and Genetic Engineering.

Dr V. Gayathri is a Senior Scientist in the KSCSTE- Jawaharlal Nehru Tropical Botanic Garden and Research Institute (JNTBGRI), Department of Phyto-chemistry and Phyto-pharmacology Division at the Kerala State Council for Science Technology and Environment (KSCSTE), Govt. of Kerala. She received her Ph.D. Degree in Biotechnology from University of Kerala in 2006 and earned her postdoctoral from Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Trivandrum, Govt. of India. Then working as a Senior Scientist in KSCSTE-Jawaharlal Nehru Tropical Botanic Garden and Research Institute (JNTBGRI)Institute/University for 5 Years. She is having 15 Years of Experience in the field of Pharmacology and Material Science. Her Area of Expertise includes: Plant Secondary metabolites to nanomaterials, biomaterials, Toxicology. She is the author of more and 20 Peer reviewed journals and recipient of any National funded Grants, 3 awards etc.

Dr. Siva Mohan Reddy is an Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Roorkee.She/he received his/her Ph.D. Degree in Chemical Engineering from Indian Institute of Science in 2013 and earned his/her postdoctoral from York University. Then he is working as a Faculty in Department of Chemical Engg, Indian Institute of Technology Roorkee from 2015 onwards. He/she is having 10 Years of Experience in the field of nanomaterial synthesis, bio- nanomaterials, nano-carbon materials for energy and environment. Her/his Area of Expertise includes: Nano carbon hybrid materials, H2 production from biomass, Biofuels, Bio- nanomaterials, Waste water treatment, Solid and liquid waste management, Nanocatalysts for energy and environment applications. She/he is the author of 50 international peer review journal papers, has ongoing/completed more than 3 crore grant from different funding agencies, and recipient of Young Influential Researcher – Asia 2023 by ACS.