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

I am working as a Scientist at D-Nome Pvt.Ltd., which is incubated at university of Hyderabad.
I received my bachelor’s Degree in Biochemistry & Chemistry from University of Kashmir in 2018 and earned my master’s in Biochemistry from the same university. Then worked as project associate in Molecular Biology lab at Indian Institute of science Bangalore for 4 Years. I am having 4 Years of Experience in the field of Molecular Biology. My area of Expertise include Molecular Biology and Genetic Engineering.

Dr. Sujeet Pratap Singh is Assistant Professor in the Biotechnology Department of Amity University, Lucknow. He received his M.Tech. Degree in Biochemical Engineering from IIT Kharagpur in 2006 and earned his Ph.D from Amity University, Uttar Pradesh. He is having 18 Years of Experience in the field of Biotechnology. His Area of Expertise includes Industrial Biotechnology, Fermentation Technology, Bioprocess Technology etc. He is the author of various research and review papers and a member of the editorial boards of different scientific journals.

Multi-disciplinary Freelance Trainer | AI & ML Educator | Technical Consultant | English & Soft Skills Trainer with 5+ years of industry experience at Bosch (ADAS/Autonomous Systems) and extensive academic & corporate training exposure. Strong blend of Engineering (MTech – Communication Systems), Management (Executive MBA – Project Management & HRM), AI/ML, and International TESOL/TEFL credentials (500+ hours). Adept at delivering outcome-driven training, curriculum design, project mentoring, and technical consulting for students, institutions, and professionals.

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.

Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.

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. 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.

Dr. M. Prasad is a Professor in the Department of Computer Science & Engineering at Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram, Andhra Pradesh. With 18+ years of teaching experience, including two years of international teaching in Ethiopia, he has guided 35+ UG/PG projects and currently supervises research scholars. A Google Android Educator, he conducts training on Google products across India and has mentored 150+ Google Certified Student Experts. He has published and presented 45+ research papers, organized 20+ academic events, and is a professional member of bodies including IEEE, ISTE, and CSI. His interests include ML, data mining, cloud, Android (Kotlin), MANETs, security, IoT, and visual analytics.

Partha Majumdar is the Managing Director of Majumdar Consultancy Pvt Ltd, a distinguished career that spans various countries and industries. With a keen eye for pattern recognition, he has overseen the development of over 10 Enterprise Class products deployed across 57 countries. He has collaborated closely with key ministries in 8 nations and more than 20 enterprises, leaving a significant mark at organizations such as Siemens, Amdocs, NIIT, Mobily, and JP Morgan Chase & Co. notably, he not only led system development but also managed highly profitable business units. Partha’s entrepreneurial spirit is evident as he successfully established three companies by 2023, operating in India, Dubai, and Saudi Arabia. His expertise extends to designing OLTP systems for diverse sectors, including Telcos, Hospitals, Tea Gardens, Factories, Travel Houses, and even Cricket tournaments. Since 2012, Partha has been deeply immersed in Data Products, Machine Learning, and Deep Learning, consistently contributing his pattern-finding skills to the development of Rapid Development Tools. Partha’s unwavering commitment to lifelong learning is underscored by his educational journey, which began with a Mathematics degree and culminated in a Doctorate in Business Administration from the Swiss School of Business and Management in Geneva. Along this remarkable path, he earned master’s degrees in Telecommunications and Computer Security, executive MBAs in Information Systems and Business Analytics, and advanced certificates in AI/ML/DL, Cyber Security, and Computational Data Sciences from esteemed institutions, including Manipal Academy of Higher Education, IIT Kanpur, and IISc Bengaluru.

Dr. Kusuma Jagadish is a Postdoctoral Researcher in the Department of Materials Engineering at the Indian Institute of Science (IISc), Bengaluru. She earned her PhD in Nanotechnology (2020) from Jain (Deemed-to-be) University and has 9 years of experience in materials science and nanotechnology. Her expertise includes materials synthesis for energy applications, particularly photovoltaics and third-generation solar cells. She has published 21 peer-reviewed articles and is a recipient of the WISE–KIRAN PDF Award (2024).