Dr. Aqsa is an Assistant Professor and researcher with over a decade of professional experience in academia and research, specializing in Criminal Law. She has supervised 40 undergraduate theses and served as a project coordinator for the ‘Standardized Module for Legal Awareness Program,’ a project undertaken by Jamia Millia Islamia in collaboration with the National Commission for Women in 2014. She has published six papers in reputed law journals and has presented numerous papers at national seminars and conferences on legal issues. She was honored with the Best Paper Presentation award in the field of Victimology. In addition to her research, she is actively involved in delivering guest lectures, judging moot court competitions, and serving as a resource person for workshops on legal issues at national forums.

Ms. Aaysha Gupta is a Research Scholar in the Biotechnology Department at Jaypee Institute of Information Technology. She is pursuing a PhD in Medical Biotechnology, with a focus on exploring the anti-aging potential of Indian medicinal plants. Ms. Gupta has previously held the positions of Editor and Event Organizer at Microbioz Journals for two years. She brings over three years of dedicated research experience in the field of Medical Biotechnology, specializing in muscle aging.

Dr. Subas Chandra Dinda is a Professor & Dean in the School of Pharmacy at The Neotia University, Kolkata, West Bengal, India. He received his Ph.D. Degree in Pharmacy (Pharmaceutical Technology) from Jadavpur University in 2008 and honored with Life Fellow (F.I.C.) in 2008 from Institution of Chemists (India). Then worked as a Professor of Pharmaceutics/Pharmaceutical Technology in different Institute/University in India and abroad i.e., in Ethiopia for more than 25 Years. He is having 26 Years of Teaching-cum-Research Experience in the field of Pharmaceutical Technology. His Area of Expertise includes: Design and Development of Drug Delivery and Drug Targeting Systems such as Matrix, Gastro-retentive, Mucoadhesive and Nanotechnology based drug formulations for sustain and controlled drug delivery in drug targeting. He is the author of the book “Advances in Pharmaceutical Technology”, published more than 125 research articles in peer reviewed journals, supervised & awarded more than 25 Ph.Ds. under Berhampur University, Odisha, and recipient of many awards such as “Gold Medal for B.Pharm – 1996”; “Priyadarshini Indira Gandhi Award – 2005”; “Arch of Excellence (Education) Award – 2005”; “ISTE’S Rajalaxmi Memorial Best Teacher Award for Orissa State – 2006”; “APP’S Distinguished Teacher Award – 2015”, “VDGOOD’S Outstanding Scientist Award – 2019”, “APP’S Best Achiever (for Teaching & Research) Award – 2020”, and “Shiksha Bharati Award – 2021”.

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. R.R. Karthieka currently serves as a Research Scientist at Silveray Ltd., United Kingdom. She earned her Ph.D. in Physics, specializing in Nanoscience and Nanotechnology, from the University of Madras in 2023. With eight years of research experience, her expertise is centered on the preparation, characterization, and fabrication of low-dose X ray detectors.Her research focuses on the development of inorganic nanostructured materials with varied morphologies, including perovskite-based semiconductors, polymer-based nanocomposites,biomaterials, and metal oxide nanomaterials.Dr. Karthieka got hands on experience in the synthesis of nanomaterials through various methods and trained many post graduate students during her doctorate degree. Additionally, her industrial expertise in thin-film fabrication for organic photovoltaic (OPV) and organic photodetector (OPD) devices development, experience on various large area coating techniques, translating theoretical knowledge into industrial application.

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. 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. Himadri B. Bohidar is currently associated with National Center for Excellence in Agro- nanotechnology TERI-Deakin Nanobiotechnology Center, Gurgaon, NCR. He received his Ph.D. Degree in Physics from Indian Institute of Technology, Delhi in 1981 and earned Academic Experience of 31 years in Teaching & Research. Then earned Administrative Experience in JNU for 8 Years. He is having 12 Years of Administrative Experience at National Level. His Area of Expertise includes Nanoscience and Nanotechnology, Nano-bio interface science, Soft Matter Science, Polymer Physics, Biophysics. He has 221(h index: 28) Publications in International Journals and author of 2 Books i.e., Polymer Physics and Molecular Biophysics: Cambridge University Press, 2014, UK, and Self-Assembly of Nanoparticles: Wiley- VCH, Berlin, Germany, 2017). He has filed 9 Patents (one granted). He has supervised 23 Ph.D. students in his career till now. Externally funded Projects Handled is of Rs. 207 lakhs (from DST, DBT and SERB).

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.

MR. SYED KRAR HAIDER BUKHARI is Lecturer in the Department of Computer Science and associated with Faculty of Computer Science and Information Technology, Superior University, Lahore. He received the Master of Science degree in computer science (MSCS) from FAST NUCES Islamabad, Pakistan in 2022. He has 5+ years of experience in Artificial Intelligence, machine learning, image processing, computer Vision, deep Learning ,NLP and Generative AI.He is currently working as an Data Scientist at digital DirAction. He is mentor and AI / ML Trainer at DirAction. He worked remotely as an AI / ML engineer at TPL UK based company. He is Editorial Board Member at STM Journals. He also worked remotely as an AI / ML engineer. He recived distinguished awards in research funds for his publications.His research publication includes in the areas of artificial intelligence, machine learning, image processing, computer Vision, NLP, and deep learning.

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.

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.