Kamal Raj Singh

Kamal Raj Singh is pursuing his PhD in Medical Image Analysis particularly in Cardiac MRI domain from Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India and completed his M.E. from Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, India. He has five-and-half years of academic experience and worked in the industry for nearly six months. His research interests include medical image analysis, cardiac magnetic resonance imaging segmentation, application of deep learning to biomedical image processing, and artificial intelligence. He has published several research articles in high-impact factor SCI journals, including IEEE Transactions on Instrumentation and Measurement and IEEE conference. He has also secured 7th rank worldwide in Multi-Disease, Multi-View & Multi-Centre Right Ventricular Segmentation in Cardiac MRI (M&Ms-2) Challenge 2021 in validation phase.

She has 5+ years of teaching, 5+ years of research and 6 months industry experience. 

• Assistant Professor (Senior Scale) at School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India – (Oct 2023 – Present)  
• Assistant Professor at Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India – (Dec 2012 – Jun 2018)  
• Student Intern at Cambridge Silicon Radio India Private Ltd., Bangalore, Karnataka, India (Jul 2011 – Dec 2011)  

His research interests include medical image analysis, cardiac magnetic resonance imaging segmentation, application of deep learning to biomedical image processing, artificial intelligence, and computer vision. He has published several research articles in high-impact factor SCI journals, including IEEE Transactions on Instrumentation and Measurement and IEEE conference.

He believes that learning is most effective when it is experiential and try to solve the real-life problems. He incorporates a variety of teaching methods such as discussions about real-life problems, class discussion, group work, projects, and hands-on activities to encourage students and promote deeper understanding. He encourages interdisciplinary collaboration among students to enhance their learning experience.

During the span of the last 11 years in academic and research, he has been teaching Digital Logic Design, Digital Signal Processing, Information Theory and Coding, Embedded System Design, Python Programming, Data Communication and Computer Networks, Wireless Communication, etc. 

Kamal Raj Singh is renowned for his numerous research contributions to the fields of Medical Image Analysis and Deep Learning. Some of his notable works include:

• Kamal Raj Singh, Ambalika Sharma & Girish Kumar Singh, “MADRU-Net: Multi-Scale Attention-based Cardiac MRI Segmentation using Deep Residual U-Net”, IEEE Transactions on Instrumentation and Measurement, vol. PP, p. 1, 2023. https://doi.org/10.1109/TIM.2023.3332340.  
• Kamal Raj Singh, Ambalika Sharma, & Girish Kumar Singh, "Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation", Biomedical Signal Processing and Control, Volume 86, Part B, 2023, 105177, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2023.105177.  
• Kamal Raj Singh, Ambalika Sharma & Girish Kumar Singh, “W-Net: Novel Deep Supervision for Deep Learning-based Cardiac Magnetic Resonance Imaging Segmentation”, IETE Journal of Research, July 2022, DOI: 10.1080/03772063.2022.2098836. https://doi.org/10.1080/03772063.2022.2098836.  
• Kamal Raj Singh, Ambalika Sharma, & G. K. Singh, "Cardiac Magnetic Resonance Imaging Segmentation using Ensemble of 2D and 3D Deep Residual U-Net," 2022 IEEE Global Conference on Computing, Power, and Communication Technologies (GlobConPT), 2022, pp. 1-6. https://doi.org/10.1109/GlobConPT57482.2022.9938245.  

• Received MHRD fellowship during M.E. by qualifying GATE 2009 (All India Rank-1934) National level examination. 
• Received Institute Assistantship during Ph.D. tenure. 
• Participated in Multi-Disease, Multi-View & Multi-Centre Right Ventricular Segmentation in Cardiac MRI (M&Ms-2) Challenge 2021 and Ranked 7th among all participants (worldwide) in validation phase. 

kamalraj.singh@ddn.upes.ac.in