Dr. Abhishek Bal
RCC Institute of Information Technology, Future Institute of Engineering and Management, University of Calcutta, West Bengal University of Technology, Surendranath College, Saint Xaviers College
0000-0002-6249-4662
About
Dr. Abhishek Bal is an accomplished academic and researcher in the field of Computer Science and Engineering, currently serving as an Assistant Professor at the RCC Institute of Information Technology (RCCIIT), Kolkata. With a strong academic foundation, he has dedicated his career to both teaching and research, particularly in the domains of medical image processing and handwriting analysis.
Dr. Bal earned his Ph.D. (Tech.) in Information Technology from the A.K. Choudhury School of Information Technology, University of Calcutta in 2024. Prior to this, he completed his M.Tech. in Computer Science & Engineering from RCCIIT under WBUT, securing 82.1%, and his M.Sc. in Computer Science from the prestigious St. Xavier’s College (Autonomous), affiliated with the University of Calcutta.
He began his academic career as a Teaching Assistant at RCCIIT (2014–2016), and subsequently joined as a Junior Research Fellow and then Senior Research Fellow on a project funded by the Board of Research in Nuclear Sciences (BRNS), Department of Atomic Energy, Government of India. His teaching journey includes faculty positions at Future Institute of Engineering and Management (2019–2024), Surendranath College (2019), and his current role at RCCIIT from 2024 onward.
Dr. Bal’s research is widely recognized in high-impact journals, including Multimedia Tools and Applications, Medical & Biological Engineering & Computing, and Journal of King Saud University - Computer and Information Sciences. His work focuses on deep learning techniques for medical image segmentation, brain tumor detection, and PET image denoising, often combining handcrafted and learned features for optimal accuracy. He has authored over 15 peer-reviewed journal and conference publications.
In addition to his academic pursuits, Dr. Bal is an active reviewer for several SCI-indexed journals, including Computers in Biology and Medicine, Computer Vision and Image Understanding, Biomedical Signal Processing & Control, and IEEE Access. He has also contributed as a reviewer and participant in numerous international conferences such as ACSS, IEMENTech, and ICACC.
Beyond research, Dr. Bal has contributed to professional development as a faculty mentor and invited speaker. He is a professional member of ACM and has delivered invited lectures on deep learning and classification methods at faculty development programs.
Dr. Bal’s commitment to knowledge dissemination extends to his active participation in more than 20 faculty development programs, workshops, and national and international webinars covering diverse topics such as machine learning, deep learning, AI, and cloud computing.
His areas of academic interest encompass data structures, programming paradigms, operating systems, database systems, and pattern recognition. Technically, he is proficient in languages like C, C++, Java, and Python, and tools like MATLAB, SQL, and UNIX shell programming.
Dr. Abhishek Bal remains dedicated to the advancement of science and technology through education, research, and active professional engagement, making him a respected figure in the field of computer science and engineering.
Employment
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RCC Institute of Information Technology assistant Professor2024 - Present
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Future Institute of Engineering and Management Assistant Professor2019 - 2024
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Surendranath College Lecturer2019 - 2019
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RCC Institute of Information Technology Senior Research Fellow2018 - 2019
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RCC Institute of Information Technology Junior Research Fellow2016 - 2018
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RCC Institute of Information Technology Teaching Assistantship2014 - 2016
Education
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University of Calcutta PhD2018 - 2024
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West Bengal University of Technology M.Tech.2014 - 2016
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Saint Xaviers College M.Sc.2012 - 2014
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West Bengal State University B.Sc.2009 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- D33D-Net: A robust dynamic deformable dual-pathway 3D deep neural network with embedded handcrafted features for liver tumor segmentation in CT images Save
- A robust ischemic stroke lesion segmentation technique using two-pathway 3D deep neural network in MR images Save
- An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images Save
- A Multi-class Image Classifier for Assisting in Tumor Detection of Brain Using Deep Convolutional Neural Network Save
- An Efficient Method for PET Image Denoising by Combining Multi-scale Transform and Non-local Means Save
- An efficient wavelet and curvelet-based PET image denoising technique Save
- Gray Matter Segmentation and Delineation from Positron Emission Tomography (PET) Image Save
- Brain Tumor Segmentation on MR Image Using K-Means and Fuzzy-Possibilistic Clustering Save
- An Improved Method for Text Segmentation and Skew Normalization of Handwriting Image Save
- MRI Brain Tumor Segmentation and Analysis using Rough-Fuzzy C-Means and Shape Based Properties Save