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

Dr. Abhishek Aher is a Project Scientist at the Centre for Cellular & Molecular Biology. He received his Ph.D. Degree in anti-cancer research from Centre for DNA Fingerprinting & Diagnostics, Hyderabad, in 2023 and earned his postdoctoral from Lab of Immunology, CDFD Then working as a Project Scientist in CCMB. He has 9 Years of Experience in the field of Cancer drug discovery & development. His Area of Expertise includes Drug Discovery & Development for Cancer & Parkinson’s Disease. He is the author of 9 research articles many awards.

Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science.
Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science. She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.

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.

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.

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.

Sneh Lata is a Senior Research Fellow at the CSIR-Indian Institute of Toxicology Research, specialising in developing advanced analytical methods for environmental and biological samples. She holds a Master of Science in Forensic Science from the University of Delhi. She has extensive experience utilising sophisticated analytical instruments such as LC-MS/MS, GC-MS/MS, and ICP-OES. Her research focuses on wastewater remediation, heavy metals, and pesticide analysis, with a strong background in metabolomics and structure elucidation of plant molecules. She is a member of the Society of Toxicology (SOT) and the American Chemical Society (ACS). She has published several articles while actively participating in international conferences, sharing her nanotechnology and environmental science expertise.

Dr. Pooja Devi is a Principal Scientist at CSIR-Central Scientific Instruments Organisation, Chandigarh. She is affiliated with the Materials Science and Sensor Application Department of CSIR-CSIO. She received her Ph.D. Degree in Engineering (Materials) from the Academy of Scientific and Industrial Research, New Delhi in 2018. She has been working as a scientist at CSIR-CSIO since 2010. She is having 12 years of experience in the field of materials. Her major research interest includes materials design for green hydrogen production, water/air pollutants degradation, and water pollutants monitoring, materials engineering, techniques, and associated affordable and portable devices development for water pollutants detection, degradation, green hydrogen production, air purification, etc. She has filed 03 patents, 02 design registration, 01 copyright, transferred 02 technology, published 84 international high-impact publications, edited 07 books, 22 book chapters, 90 conference papers, and delivered 60 invited/oral talks. She has received funding/fellowships from DST, SERB, CSIR, ACS, IUSSTF, etc., for various projects. She is also a recipient of several prestigious awards and fellowships including NASI Young Scientist Platinum Jubilee Award (2021), IEI Young Engineer Award, INAE Young Engineer Award (2020), SERB Women Excellence Award (2020), Young Associateship of Indian Academy of Science (2019-22), Haryana Yuva Vigyan Ratan Award (2019), Young Scientist Award (2019) from Indian Science Congress Association, Young Scientist Award (2019) from International Society for Energy, Environment and Sustainability, IUSSTF Water Advanced Research and Innovation (WARI) fellowship (2017), Canadian Commonwealth Fellowship (2010), GC Jain Memorial Award (2020) by MRSI, PITTCON- Travel Grant (2018) from American Chemical Society, SERB International Travel grant, etc.

Akanksha Kamthe is a distinguished legal professional currently serving as the Director at Digsamvad, a pioneering organization in the field of cybersecurity, safety services, awareness programs, and digital marketing. With a robust career spanning over 15 years, she has demonstrated exceptional expertise in legal strategy and compliance across diverse international markets. Akanksha is a certified DCPLA (Certified Privacy Lead Assessor) by the Data Security Council of India.

Dr. Debashree De is a seasoned scientific writer (Ex-novartis) with 15 years of research experience. She received her Ph.D. Degree in Structural Biology and Biochemistry from CSIR-Indian Institute of Chemical Biology in 2012 and earned her postdoctoral from Centro di Rierca E. Menni, Fondazione Poliambulanza- Istituto Ospedaliero, Brescia, Italy. She worked as a Scientific Research Writer and Lead Development Manager for BrainAura, a startup company based out of India and the UK and also as a senior scientific writer in novartis. She has 15 Years of Experience in the field of peptide biochemistry. Her area of expertise includes: Structural biology and biochemistry, Scientific writing, Real World Evidence. She is the author of 14 publications (manuscripts, reviews, book chapters) with one of her review article on her research being the focus of a news article . She is also the member of prestigious peptide societies, reviewer of journal PlosOne as well as the recipient of CSIR and ICMR senior fellowships. She has successfully optimized methodologies for the study of amyloid beta aggregate destabilization on Surface Plasmon Resonance (published).

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.