Ravi Raj
Universitat Politècnica de Catalunya, Poznań University of Technology, AGH University of Krakow, GITAM University, Rajiv Gandhi Technical University
About
Dr. Ravi Raj is currently serving as an assistant professor at the Department of Mining, Industrial, and ICT Engineering (EMIT), Manresa School of Engineering (EPSEM), at the Universitat Politècnica de Catalunya - Barcelona Tech - UPC, Barcelona, Spain. He received his Ph.D. (Hons.) in the area of engineering and technology from the Faculty of Computer Science, Electronics, and Telecommunications at AGH University of Krakow, Poland, in 2024. He received his Master of Technology degree in Power System and Automation Engineering from GITAM University, India, in 2017, and received a Bachelor of Engineering degree in Electrical and Electronics Engineering from the Rajiv Gandhi Technical University, Bhopal, India, in 2013. His research interests include artificial intelligence, human-robot interactions, computer vision, deep learning, and robotics.
Employment
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Universitat Politècnica de Catalunya Assistant Professor (Tenure Track)2026 - Present
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Universitat Politècnica de Catalunya Visiting Professor2025 - 2026
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Poznań University of Technology Assistant Professor2024 - 2025
Education
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AGH University of Krakow Doctor of Philosophy (Ph.D.) in Engineering and Technology2020 - 2024
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GITAM University Master of Technology (M. Tech.) in Power System and Automation Engineering2015 - 2017
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Rajiv Gandhi Technical University Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- Analysis of the CPG-DRL framework for Quadruped Robot Locomotion Save
- Recent Developments and Applications of Drone Swarm: Techniques, Strategies, and Challenges Save
- Understanding the Markov decision process for reinforcement learning in robotics perception Save
- Application of Generative AI for Robotics Learning and Perceptions Save
- An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions Save
- An Improved Facial Emotion Recognition System Using Convolutional Neural Network for the Optimization of Human Robot Interaction Save
- A concise overview of different reinforcement learning algorithms for robotics exploration Save
- An improved human pose estimation using Deep Neural Network for the optimization of human-robot interactions Save
- An improved facial emotion recognition system using convolutional neural network for the optimization of human robot interaction Save
- Intelligent mobile robot navigation in unknown and complex environment using reinforcement learning technique Save