Chandigarh University

🇮🇳 IN

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

22
H-Index
160
Papers
1,672
Total Citations
266
Faculty & Researchers
🏆 Most Cited Paper
Fusion of mel and gammatone frequency cepstral coefficients for speech emotion recognition using deep C-RNN
84 citations · 2021
📊 Avg Citations/Paper: 10
📈 Most Prolific Year: 2023 (50)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Pattern recognition (psychology), Speech recognition

Top Papers

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Faculty & Researchers

Content generated · 43 days ago