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.

Ayan Chawla is a Cloud Solution Architect specializing in Data & AI, with a proven track record of assisting at Top reputated Global MNC.

Mrs. Neeru Gupta is an esteemed Assistant Professor in Computer Science at NDIIT, with 10-year academic career intertwined with over three years of industry experience in IT and software development. Pursuing Ph.D. in Computer Science , she is a recognized expert in her field.
Her extensive teaching repertoire includes advanced subjects such as Artificial Intelligence, Machine Learning, Data Science.

She is also a Guest Faculty at Ednet Consultants Pvt Ltd making her a vital asset to the communities.

Dr. Deepak Gola is an Environmental Consultant in Trinity International, New Delhi. He received his Ph.D. Degree in Environmental Biotechnology from IIT Delhi in 2018. Then worked as an Assistant Professor at Noida Institute of Engineering and Technology (NIET) & IILM University Institute/University for 4 Years. He is having 6 Years of Experience in the field of Environmental Biotechnology and Nanotechnology His Area of Expertise includes: Wastewater Treatment, Nanotechnology, and Carbon footprint. He is the author of more than 50 journals and book chapters, a recipient of 2 consultancy project Grants, and multiple awards etc.

Dr. Anupriya Rana was working as “Scientist B” in the department of Patanjali Herbal Research Division, Patanjali Research Foundation, Haridwar, India. She received her Ph.D. Degree in Botany (Nanotechnology) from Gyan Vihar University, Jaipur in 2024. She has been an alumna of University of Delhi, Gargi College, 2016 batch and received an academic silver medal in her Masters in 2018. She had more than 6 years of research (Scientist B, Research Associate and DST Research Fellow) and academic experience. Her specialization is in Plant Nanotechnological research, Project coordination, Agri-Product Marketing, botanical studies, plant morphophysiological stress and mutations, Plant tissue culture and Biosynthesis. She has published 4 original articles and 1 book chapter.

Dr. Kumar Ajay has been a Professor and Director in the Institute of Applied Sciences at the Mangalayatan University, Aligarh. He received his Ph.D. Degree in Life Sciences from Jawaharlal Nehru University, New Delhi in 1997 and earned his postdoctoral from James Graham Brown Cancer Center, university of Louisville (UofL), KY, USA, Then worked as Asst. Professor in Lovely Professional University, Punjab, Dean Academics at Uttaranchal College of Science and technology, Dehradun, Director (Operation) at Dolphin College of Science and Agriculture, Punjab He has ten years working experience in food processing and pharmaceutical industries. Prof. Kumar is having 25 Years of Experience in the field of Alternative Medicines and Biotechnology. His Area of Expertise include Plant Biotechnology, Tissue Culture, Hydroponics, Mushroom Production, Herbal Medicines and Food Processing. He is consultant to American companies. He is the author of three books, 22 research papers, five patents, several invited talks and Keynote speaker in several conferences and recipient of Leading Scientist of the year Award, Eminent Scientist of the year Award, Environmentalist of the Year Award, Pea awards and Outstanding Professor of Technological Innovation Award.

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.

Mr. Keshan is an AI/ML researcher, educator, and technologist with an M.Tech in AI & ML and 10+ years of teaching experience. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. Over the past three years, he has actively mentored students and professionals across India, the UK, Belgium, and the USA, delivering application-driven courses focused on conceptual clarity and hands-on learning. He also leads free AI education initiatives for underprivileged girls globally, using technology to create meaningful social impact

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.

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 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.