Dr. Garima Singh is a Research Scholar in Biomaterials and Biopolymers at Jaypee Institute of Information Technology and serves as a Scientific Technical Officer at Reinste Nanoventures. Her work focuses on bacterial cellulose, nanomaterials, and the development of functional biomaterials for advanced applications. She has authored multiple research papers and book chapters, and has presented her research at national and international conferences. Her current interests include projects in advanced coatings, sensor development, and sustainable materials, translating lab innovation into real-world, scalable solutions.

Prakriti Sharma is an AI mentor, engineer, and Founder of Chaifluence, where she applies AI to build innovative and authentic influencer marketing strategies. Currently an AI Engineer at Tata Consultancy Services, she collaborates with Google’s Business Unit to develop generative AI models focused on responsible, high-impact solutions. A strong advocate for AI ethics, she also holds certifications including Google Cloud Professional Engineer. A Delhi University computer science graduate and former Robotics Club President, she mentors aspiring AI professionals and organizations adopting AI responsibly.

Dr. Vikas S. Chomal is a seasoned academic and researcher with a PhD in Computer Science (Software Engineering) from Singhania University. With over a decade of teaching and research experience in software engineering, data science, and business analytics, Dr. Chomal has contributed significantly to both academia and industry. He has held positions such as Assistant and Associate Professor at esteemed institutions and has been involved in curriculum development, research guidance, and administrative roles. His research focuses on software documentation, project management, and data science, and he has published extensively in international journals and conferences. Dr. Chomal is also an award-winning researcher, recognized for his contributions to knowledge management and software engineering.

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.

Dr. Indra Neel Pulidindi works as an assistant professor at Saveetha Medical College and Hospital (SMCH) & Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, India. He serves as a Scientific Consultant at JSCIAR, India. He has also been rendering his services as a Visiting Professor at Mahatma Gandhi University, Kottayam, Kerala, in the research group of Professor Sabu Thomas. His specialisation lies in Composites (CFRPs), Biofuels and Biochemicals, Catalysis, Fuel Cells, Carbon materials and Heteropoly Acids. He has published 79 research papers, 8 books, 14 book chapters and secured a patent (6 patents filed). He has guided several PhD, Master’s and Undergraduate students. Given his vast teaching and research experience, Dr. Neel looks forward to adding value to esteemed institution, namely, SMCH and SIMATS where he is currently employed.

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. 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. Darshan Panda is a Scientist in the Department of Crop Physiology & Biochemistry at the ICAR-National Rice Research Institute, Bidyadharpur, Cuttack. He received his Ph.D. Degree in Biotechnology from Ravenshaw University in 2022. He is working currently as a Scientist at ICAR-NRRI, Cuttack. He has published his research findings through the publication of over 50 articles in esteemed academic international journals. He has 10 years of experience in the fields of plant physiology, molecular biology and biotechnology. His area of expertise includes crop photobiology, physiology, biochemistry, molecular biology, tissue culture and biotechnology. He is the author of two textbooks in biotechnology and microbiology.

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. Ratul Das is a distinguished Scientist specializing in Nanobiotechnology. With a PhD in Industrial Biotechnology (Product Development) from the University of Quebec, Canada, Dr. Das has established himself as a trailblazer in his field. His research experience spans 3.5 years at IIT Guwahati and includes groundbreaking work in developing nanoformulation for delivery to cancer cells. Dr. Das has an impressive publication record, with 70 peer-reviewed international research and review papers, including one edited book (Wiley). He has also contributed significantly to conferences and holds a US patent. As an Associate Fellow at TERI- Deakin Nanobiotechnology Centre (TDNBC), India, and an Honorary Fellow of IFM, Deakin University, Australia, Dr. Das supervised PhD students and collaborated on pioneering projects. He was one of the core members of the scientific team of TDNBC in preparing the national guidelines for evaluation of nano-based agri-input and food products published by the DBT, Govt. of India. He co-founded the prestigious journal ‘Nanotechnology for Environmental Engineering’ and serves as an Associate Editor. Dr. Das’s expertise extends beyond academia. He currently serves as an external consultant in the area of nano-induced health effects for ‘Save The Environment’ (STE), a non-government organization focusing on environment. Driven by his passion for innovation and commitment to the environment, Dr. Ratul Das continues to make remarkable contributions to the field of Nanobiotechnology.

A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.

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