Quantum Artificial Intelligence

Deepika Ghai

Deepika Ghai earned her Ph.D. in Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She holds an M.Tech. in VLSI Design & CAD from Thapar University, Patiala, and a B.Tech. in Electronics and Communications Engineering from Rayat Institute of Engineering and Technology, Ropar. Currently an Associate Professor at Lovely Professional University, she brings over eight years of academic experience. In 2021, she was honored with the Dr. C.B. Gupta Award at Lovely Professional University. Her published works include more than 50 research papers in refereed journals and conferences. Her expertise encompasses Signal and Image Processing, Bio-medical Signal and Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, and VLSI Signal Processing.

Suman Lata Tripathi

Suman Lata Tripathi is a Professor at Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, with over 23 years of academic experience. She obtained her Ph.D. in Microelectronics and VLSI Design from MNNIT, Allahabad. She completed her M.Tech. in Electronics Engineering at UP Technical University, Lucknow, and her B.Tech. in Electrical Engineering at Purvanchal University, Jaunpur. In 2022, she also engaged in remote post-doctoral research at Nottingham Trent University, London, UK. She has an extensive publication record with over 181 research papers featured in refereed journals from publishers like Springer, Elsevier, IEEE, and IOP Science, as well as conference proceedings and e-books. She received the “Research Excellence Award” in 2019 and the “Research Appreciation Award” from 2020-2024 at Lovely Professional University, India. Furthermore, she secured a funded project from SERB DST under the TARE scheme focusing on microelectronic devices. Her areas of specialization include microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design for testing, advanced FET design for IoT, embedded system design, reconfigurable architecture with FPGAs, and biomedical applications.

Ramandeep Sandhu

Ramandeep Sandhu is an Associate Professor at Lovely Professional University with more than 17 years of experience in academics. She earned her Ph.D. in Computer Science and Engineering from Lovely Professional University, Phagwara, Punjab, India. Her M.Tech. and B.Tech. degrees in Computer Science and Engineering are from Guru Nanak Dev Engineering College, Ludhiana, Punjab, India. She has published over 30 research papers in journals and conferences. Her academic and research interests include Cloud Computing, Cloud Optimization, Machine Learning, Quantum Computing, Data Sciences, Opinion Mining/Sentiment Analysis, and proficiency in C/C++ and Python. She has also authored two books on C++.

Sardar M. N. Islam (Naz)

Sardar M. N. Islam, Ph.D., LL.B. (Law), is a Professor at ISILC and Victoria University, Australia. He also serves as a Distinguished Visiting Professor of Artificial Intelligence at UniSri and an Adjunct Professor of IT and Business at Armstrong Institute, Melbourne, Australia. He has authored 31 books, edited 4 books, and published approximately 250 articles, including 60 journal articles graded Q1 and Q2. He is the Editor-in-Chief of International Transactions on Artificial Intelligence, an AI and Modelling journal. His research focuses on Quantum Computing and Artificial Intelligence.

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