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Vishnu Chandrabanshi
Assistant Professor
Profile Summary
Vishnu Chandrabanshi is an enthusiastic educator and researcher with a deep passion for teaching and exploring emerging technologies. His core research interests lie in the areas of Machine Learning, Deep Learning, and Computer Vision. He qualified the NIMCET and holds a Master of Computer Applications (MCA) degree from the National Institute of Technology (NIT) Durgapur. Currently, he is pursuing a Ph.D. at NIT Tiruchirappalli, where he has submitted his doctoral thesis.
Work Experience
Vishnu Chandrabanshi has professional experience both as an academic and a researcher. He worked as an Assistant Professor at Radha Govind University, Ramgarh, Jharkhand, for one year and six months, where he was engaged in teaching, curriculum delivery, and academic mentorship. Prior to this role for, he served as a Junior Research Fellow at South Asian University (SAU), New Delhi, where he contributed to a DST-SERB (CRG) funded research project titled "Efficient Resource Allocation Spectrally-Spatially Elastic Optical Networks." During this time, he was involved in theoretical analysis, algorithm development, and technical reporting related to advanced optical network systems.
Research Interests
Vishnu Chandrabanshi’s research interests lie in the fields of Deep Learning and Computer Vision, with a particular focus on image and video analytics, visual speech recognition, and biometric systems.
Teaching Philosophy
Vishnu believes that teaching extends beyond the mere delivery of knowledge—it is about inspiring curiosity, fostering critical thinking, and nurturing a lifelong passion for learning. His teaching approach emphasizes inclusivity, engagement, and a student-centered learning environment, where learners are encouraged to actively participate, ask questions, and apply theoretical concepts to real-world problems. He is committed to bridging the gap between theory and practice, particularly in dynamic areas such as machine learning and computer vision, by integrating current research insights and practical case studies into the classroom. His ultimate goal is to empower students to become independent learners, ethical thinkers, and meaningful contributors to society.
Courses Taught
Vishnu has taught a variety of undergraduate and postgraduate courses, including Programming Languages (C, C++, Java, Python), Operating Systems, Database Management Systems (DBMS), Computer Networks, Social Network Analysis, and Data Structures.
Awards and Grants
He secured first place in ‘Game of Troves,’ the annual techno-management fest of NIT Jamshedpur in 2017. He also qualified the UGC-NET in January 2019.