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.

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. Jyoti Gangane is a Professor in the E&TC Department at Vishwaniketan’s iMEET (University of Mumbai). She earned her PhD in Wireless Communication from the University of Malaga, Spain (2016) and brings 32 years of experience in Electronics and Telecommunication. Her expertise includes digital signal processing (DSP) and wireless communication, with strong experience in teaching, research, and academic leadership.

Dr. Mian Adnan Kakakhel is a Research Associate in the College of Hydraulic and Environmental Engineering at China Three Gorges University, Yichang, China. He earned his PhD from Lanzhou University (2022) and completed his postdoctoral research at China Three Gorges University (2025). With 3+ years of research experience in aquatic biology, toxicology, and nanotechnology, his work focuses on emerging pollutants, aquatic pollution, nano-toxicity, and fisheries-related research, including fish physiology and behavior.

Dr. Saroj Kumar Singh obtained M.Tech. & Ph.D (Materials Science) from I.I.T., Kharagpur. He retired as Professor in AcSIR, Chief Scientist, and Head of Advanced Materials Technology Department of CSIR- IMMT, Bhubaneswar, in 2016. He has contributed significantly in various fields of Materials Science and Engineering. His contribution towards the development of Advanced Materials through the thermal plasma route from ores and minerals and solid wastes generated from mineral-based industries is particularly praiseworthy. He has developed and designed various plasma reactors indigevously for the above purposes. He completed several projects in Plasma Processing as PI and team members funded by different sponsor agencies such as DST, NALCO, IRELTD, DMSRDE. CSIR, BRNS, NMDC, MoM, MoS, Vedanta Ltd., etc.

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.

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.