Chandigarh University
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Papers
160
Total Citations
1,672
H-Index
22
Researchers
266
About
Chandigarh University has emerged as a dynamic research institution with a distinctly interdisciplinary approach to artificial intelligence, machine learning, and robotics. With a rapidly growing portfolio of highly cited publications, the university has carved a notable presence in the global AI and robotics research landscape, bridging foundational computational methods with real-world applications across healthcare, digital marketing, autonomous systems, and human-robot interaction. The institution's research strengths span several compelling domains. In biomedical signal processing, faculty and students have made measurable contributions through work on sEMG signal classification, EEG-based brain-computer interfaces, and speech emotion recognition using deep learning architectures — research that directly informs next-generation rehabilitation robotics and assistive technologies. Their investigations into robotic-assisted surgery and AI-driven diagnostics for conditions like autism spectrum disorder further demonstrate a commitment to translational healthcare innovation. On the systems and robotics side, Chandigarh University researchers have advanced multi-robot energy-efficient routing protocols, autonomous vehicle software stacks using ROS, and socially aware delivery robot navigation — areas critical to the emerging Industry 5.0 paradigm. Work on decision models for industrial robot selection and robotic process automation in healthcare rounds out a practically oriented research identity. The university also distinguishes itself through its breadth of AI application research, exploring intersections with digital marketing, climate policy, nanorobotics-based drug delivery, and workforce economics. With multiple papers accumulating over 50 citations within just a few years of publication, Chandigarh University presents an exciting environment for prospective students and collaborators seeking impactful, application-driven research at the confluence of AI, robotics, and societal transformation.
Research Focus
Key Achievements
Top Papers
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- 10SEMG signal classification using KNN classifier with FD and TFD features41 citations · 2020
Faculty & Researchers
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