Miss Nishita is a Senior Research Fellow in the Environment Science Department of Environmental Science at the Guru Gobind Singh Indraprastha University. She has submitted his/her Ph.D. thesis in Guru Gobind Singh Indraprastha. She/he is the BRICS YOUNG SCIENTIST 2023, recipient of any Grants, awards etc.

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Dr. Shubham Jaju is a Professor in the Department of Pharmacology at the Osmania Medical College, Hyderabad, Telangana. He received his MD degree in 2023 from Kaloji Narayana Rao University. Then, he worked as a Senior Resident in Osmania Medical College for a year. He is having 4 years of experience in the field of Pharmacology. His area of expertise includes Clinical Pharmacology, Pharmacotherapeutics, Research and Clinical Trials and Drug Safety. He is the author of several scientific articles.

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.

He received his Ph.D Degree in Carbon based Nanomaterials from IIT, Bombay in 1997 and earned his postdoctoral from University of Namur (Belgium) 1997-1998 and Nagoya University (JAPAN) in 1998-1999 under JSPS Program. Then joined as a Research Scientist in DMSRDE, DRDO, Kanpur in 1999. He is having 28 Years of Experience in the field of Carbon based Nanomaterials. His Area of Expertise includes: Synthesis and Application of Carbon based Nanomaterials. He is the author of 78 peer reviewed journal papers, 7 book chapters and have 19 granted patents. He is recipient of DRDO Young Scientist Award 2001 and B. D. Bangur Award 2019 from Indian Carbon Society.

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.

Ms. Neha Sawal is a Legal Analyst in Apex Fund Services Ltd. Company/Organization located at Bangalore. She received her L.L.B. Degree from Mody University, Laxmangarh in 2016 and earned her postdoctoral in Business law from university of Indian Law, Pune in 2021. Then worked as an Assistant Professor –Tax Law in Christ University Bangalore Institute/University. She has 2.5 Years of Experience in the field of Corporate Law. Her Area of Expertise includes: Business Law, Startup incorporation, constitutional law, Legal studies, Human rights law, Startup funding and legal procedures, family laws, criminal and civil law.

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. 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.

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.