Congratulations, Mr. Abhinav Dahiya, on winning the esteemed Best Researcher Award from Citation Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!🌿
Mr. Abhinav Dahiya an Principal Scientist at University of Basel, Switzerland, stands as a distinguished academic and researcher in the domain of Chemistry. Holding a PhD in Electrochemistry- Physics-Materials Science from University of Basel, their professional journey exemplifies dedication and expertise.🧑‍🔬
Professional Profiles:
Scopus Profile
Orcid Profile
Google Scholar Profile
ResearchGate Profile
LinkedIN
Areas of Specialization:
Reinforcement Learning, Multi-agent systems, Autonomous Vehicle Fleets, Machine Learning, AI, HumanRobot Interaction (HRI), Operator allocation, Scheduling, Experimental Design, Decision support systems, Optimization.
Education
Ph.D. in Electrical and Computer Engineering, canada 2018 – Present
Work Experience:
Graduate Researcher, Autonomous Systems Lab, University of Waterloo, canada 2018 – Present
PROJECTS
Autonomous fleet management with time-varying constraints | Path Planning Jan 2023 – Present
Research Focus
In the realm of Human-Robot Interaction (HRI), our research focus is centered on creating intuitive and effective interfaces between humans and robots, fostering seamless collaboration and enhancing user experience. We delve into the intricacies of how humans and robots communicate, cooperate, and coexist in various environments. Our endeavors encompass understanding human behavior, preferences, and cognitive processes to design robots that can adapt and respond intelligently. We explore novel methods for natural language processing, gesture recognition, and facial expressions analysis, aiming to enable robots to comprehend and interpret human cues accurately. Furthermore, we investigate the development of socially-aware robots capable of perceiving and responding to human emotions. This involves the incorporation of affective computing and emotional intelligence into robotic systems, enhancing their ability to interact empathetically with users. Operator allocation, scheduling, and experimental design are integral components of our research, aiming to optimize the allocation of tasks between humans and robots.
Peer Reviewer & Academic Engagements:
Mr. Abhinav Dahiya citation metrics and indices from Google Scholar are as follows:
Citations: 140 (All), 129 (Since 2018)
h-index: 7 (All), 7 (Since 2018)
i10-index: 6 (All), 5 (Since 2018)
Publications: 9 documents indexed in Scopus
Selective Publications (JOURNALS):