Abhishek Kumar

Abhishek Kumar is a researcher in the field of Artificial Intelligence and Medical Imaging, with expertise in ultrasound imaging, deep learning, medical robotics, and hardware-assisted tissue characterization. His research focuses on the development of automated ultrasound gantry systems, patient-specific phantom fabrication, and AI-driven frameworks for optimal tumor tissue selection and characterization. 

His work integrates low-cost hardware design, medical image analysis, super-resolution techniques, and deep learning models to improve diagnostic workflows in pathology and ultrasound-guided applications. He has contributed to multidisciplinary research involving angular and gimbal-based ultrasound gantry systems, phantom development, and intelligent tissue analysis frameworks. His research has been published in reputed international journals and conferences by publishers such as IEEE and Elsevier. 

His academic interests include Medical Image Analysis, Computer Vision, Ultrasound Imaging, Deep Learning, Medical Robotics, and AI-driven healthcare technologies. He is particularly interested in developing affordable and clinically relevant AI-assisted systems that can support pathologists and clinicians in efficient diagnosis, tissue assessment, and treatment planning. 

Served as a Teaching Assistant during both master’s at the Indian Institute of Information Technology Allahabad, and PhD programs at the Indian Institute of Technology Kharagpur, assisting in coursework, laboratory sessions, and student mentoring. Also contributed as a Teaching Assistant for an NPTEL course, supporting online learning activities, assignments, and academic discussions. 

Research interests include Artificial Intelligence, Medical Image Analysis, Deep Learning, Computer Vision, Ultrasound Imaging, Medical Robotics, Digital Twin Technology, Image super-resolution, and AI-assisted healthcare systems.  

My teaching philosophy focuses on making learning engaging, practical, and research oriented. I believe students learn more effectively when theoretical concepts are connected with real-world applications and problem-solving approaches. I aim to encourage curiosity, independent thinking, and collaborative learning through interactive discussions, guidance, and hands-on experience. My goal is to help students build strong technical foundations while motivating them to explore innovative ideas and interdisciplinary research in emerging areas of Artificial Intelligence and healthcare technologies. 

Serve as Teaching assistants in Deep learning, Machine Learning, Artificial Intelligence, and NPTEL course on Deep learning. 

My scholarly activities focus on interdisciplinary research in Artificial Intelligence, Medical Imaging, and healthcare technologies. My work includes automated ultrasound gantry systems, AI-assisted tissue characterization, patient-specific phantom fabrication, and ultrasound image super-resolution. I have published research articles in reputed international journals and conferences by publishers such as IEEE and Elsevier.  

abhishek.kumar1@upes.ac.in