Prashant Upadhyaya

About

I am an accomplished Associate Professor in the Department of Electronics and Communication Engineering (Deputed in First Year Computer Science) at Chandigarh University (CU), Mohali, with extensive experience in Signal Processing, Internet of Things (IoT), and Machine Learning applications. My academic journey spans a B.Tech in Electronics and Communication Engineering (ECE) from Uttar Pradesh Technical University (UPTU) in 2006, followed by an M.Tech and Ph.D. in Communication and Information Systems from Aligarh Muslim University (AMU) in 2012 and 2019, respectively.

My passion for teaching, research, and innovation has enabled me to make significant contributions to academia and technology. I have authored over 40+ research articles in prestigious international/national (SCI/Scopus) journals and conferences and have successfully guided one Ph.D. scholar in my research domain.

I am also certified in Deep Learning and the Internet of Things (IoT), having earned a Specialization Certificate from Coursera, enhancing my practical knowledge in AI model development, deployment, and IoT system implementation. This expertise allows me to bridge the gap between theoretical learning and real-world applications. In addition to my academic role, I serve as a Course Mentor at DeepLearning.AI, where I support and guide learners in mastering the core concepts of Artificial Intelligence and Machine Learning. My contributions to curriculum development were recognized with the Best Curator Award for designing an in-house course on the Internet of Things (IoT) on the Coursera platform.

Employment

• Chandigarh University Associate Professor
  2020 - Present
• Shri Rawatpura Sarkar Institute of Technology Assistant Professor
  2012 - 2014
• Alliance InfoTech Pvt. Ltd Software Engineer
  2006 - 2008

Education

• Aligarh Muslim University Research Scholar (Pursuing PhD)
  2014 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• Comparative Evaluation of Machine Learning Models and Feature Identification for ASD Detection
  2026 DOI: 10.1109/IMPACT68503.2026.11468336
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• Ultra-Low Power Hybrid GDI Full Adder for Biomedical Signal Processing Devices
  J. of Active and Passive Electronic Devices 2026
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• Performance Analysis of Machine Learning Models for Concussion Severity Classification
  2025 DOI: 10.1109/ICANCS65819.2025.11376781
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• A Signal Processing Framework for Hindi Digit Recognition with Kaldi ASR
  Journal of Active and Passive Electronic Devices 2025
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• AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images
  Scientific Reports 2025 DOI: 10.1038/S41598-025-99322-Z
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• Design and Development of IoT-Based Crop Growth Monitoring and Maintenance System for Hydroponic Indoor Vertical Farm
  Advances in Artificial-Business Analytics and Quantum Machine Learning: Select Proceedings of the International Conference, Com-IT-Con. Lecture Notes in Networks and Systems (1053) 2024 DOI: 10.1007/978-981-97-4860-0_7
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• The Study of Sensors in Soil-Less Farming Techniques for Modern Agriculture
  2023 DOI: 10.1007/978-981-99-1308-4_24
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• Smart Multi-linguistic Health Awareness System using RASA Model
  2023 DOI: 10.1109/ICSCSS57650.2023.10169275
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• Impact of noise in image quality assessment
  AIP Conference Proceedings 2023 DOI: 10.1063/5.0124120
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• Comparative analysis of IoT-based controlled environment and uncontrolled environment plant growth monitoring system for hydroponic indoor vertical farm
  Environmental Research 2023 DOI: 10.1016/J.ENVRES.2023.115313
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