Vivek Kanhangad is a Professor at the Indian Institute of Technology (IIT) Indore, India. He has over 12 years of experience at IIT Indore, having held positions as an Assistant Professor, Associate Professor, and now a Professor since November 2022. Before joining IIT Indore, he served as Visiting Faculty at the International Institute of Information Technology Bangalore for over two years. Dr. Kanhangad holds a Ph.D. in Biometrics/Computing from The Hong Kong Polytechnic University (2006–2010) and an M.Tech. in Electrical Engineering from IIT Delhi (2004–2006). With expertise in his field, he has built a strong professional network of over 300 connections and continues to contribute to academia and research at IIT Indore.

Dr. Surya Prakash is a Professor in the Department of Computer Science & Engineering at IIT Indore. He specializes in biometrics, focusing on ear and face recognition systems, as well as data retrieval from large biometric databases. His expertise spans machine learning, deep learning, image processing, computer vision, and artificial intelligence. Dr. Prakash is also passionate about teaching advanced topics like neural networks, pattern recognition, and algorithms. With over 12 years of academic and research experience, he has significantly contributed to biometric security and indexing structures.

Manish Bhatt is an accomplished biomedical engineering researcher and an Assistant Professor in the Department of Electronics and Electrical Engineering at the Indian Institute of Technology, Guwahati. With a Ph.D. in Biomedical Engineering from the Indian Institute of Science (IISc) and a B.Tech in Electronics and Communications Engineering from the National Institute of Technology, Hamirpur, his research focuses on the engineering aspects of ultrasound imaging for the diagnosis of liver fibrosis, breast cancer, deep vein thrombosis, and more. He has a diverse professional background, including roles as an Assistant Professor at BITS Pilani, a Shell Postdoctoral Fellow at IISc, and a Postdoctoral Researcher at Johns Hopkins University and the Centre de Recherche du CHUM. With over 14 publications and a range of technical skills in biomedical imaging and elastography, his work reflects a strong commitment to innovation in medical imaging technologies. Manish is also connected with over 500 professionals, actively contributing to his field while mentoring and collaborating with experts globally.

Roopa G. is an accomplished Data and Applied Scientist II at Microsoft with over 7.9 years of experience in predictive and prescriptive analytics. She is a business-focused data scientist, known for delivering actionable, data-driven solutions to complex business challenges. Her expertise is supported by real-time industrial case studies and assignments, which have strengthened her skills in building predictive models and advanced analytics. A mentor at upGrad and a graduate with a master’s degree in Data Science from IIIT, she has earned recognition for her achievements, including winning the Geek Goddess 2018 Data Science competition across India and the Her Tech AI 2019 hackathon organized by Facebook. Roopa is passionate about leveraging data to drive impactful decisions and innovation.

Madhu Babu Cherukuri is an experienced Lead AI Applied Research Scientist at Intel Corporation with over 17 years of expertise in building machine learning and optimization-based decision support systems for complex business challenges across diverse industries such as retail, manufacturing, semiconductors, pharma, and banking. He has a proven track record of identifying and solving business problems using mathematical and data mining techniques, delivering multi-million-dollar impact solutions.Madhu is skilled in enabling the journey from idea to impact by establishing business clarity, aligning stakeholders, and designing and deploying machine learning models. He has in-depth knowledge of statistics, machine learning, deep learning, and text mining, using tools like Python, R, Azure ML, Google Cloud, and Kubeflow. His extensive experience also includes working with SAS programming.In addition to his work at Intel, Madhu serves as a mentor and instructor for data science professionals worldwide. He has conducted various levels of data science training, from basic to advanced algorithms, and has mentored over 500 employees globally. As a freelance trainer and project mentor, he has taught a wide range of topics from basic statistics to deep learning algorithms, including text and computer vision, through leading ed-tech organizations. His ability to inspire and grow talent across the globe reflects his passion for both AI and education.