Vidyasagar Sadhu is currently employed as Advanced Computer Scientist (Autonomy) in Artificial Intelligence Center at SRI International, Menlo Park, CA. He has completed his PhD under the guidance of Dr. Dario Pompili from Electrical and Computer Engineering department of Rutgers University, New Brunswick, NJ. His PhD thesis is on real-time autonomic decision making under uncertain environments for UAV-based search-and-rescue missions. His research interests include applied Artificial Intelligence (AI) and Machine Learning (ML), with a special focus on Multi-Agent Deep Reinforcement Learning (MADRL), Multi-Modal Time Series Modeling, Generative Modeling, Computer Vision (CV), Natural Language Processing (NLP) and related AI domains. Vidyasagar has received several awards, one being a National Science Foundation (NSF) Student Travel Grant of $1,500 to attend and present his research findings on context verification for mobile computing at the 2019 IEEE PerCom conference in Kyoto, Japan. Also, together with his four-member multi-university team, he has been awarded the NSF Student Research Project Grant of $6,000 towards conducting student-led research in distributed machine learning. At Rutgers, he has been awarded multiple times the ECE PhD Research Excellence Award and Teaching Assistant–Graduate Assistant–Professional Development Fund (TA-GA-PDF) Award. He stood first among 28 research posters presented during the ECE Research Day in 2016. He has also been awarded the “Best Demo Award” at the 2019 IEEE SECON conference, Boston, MA. In 2015, he–along with his colleague Xueyuan Zhao–was selected as one of 35 finalist teams for the highly competitive Qualcomm Innovation Fellowship (QInF) out of 146 eligible teams from entire United States. During his PhD, Vidyasagar has mentored several senior capstone design project teams and undergraduate and graduate course project teams in addition to first year PhD students.With about 130 citations, Vidyasagar has an h-index of 7 and an i10-index of 5 (Google Scholar, Oct 2020).
- 333 Ravenswood Avenue, Menlo Park, CA, 94025, United States
Applied AI/ML: Multi-Agent Deep Reinforcement Learning (MADRL), Multi-Modal Time Series Modeling, Generative Modeling, Computer Vision (CV), Natural Language Processing (NLP) and related AI domains