Chiranji Lal Chowdhary

Chiranji Lal Chowdhary is an Associate Professor in the School of Information Technology & Engg at VIT University, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College (currently named as MBM University) at Jodhpur, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology at Bangalore. He received his PhD in Information Technology and Engineering from the VIT University Vellore. From 2006 to 2010 he worked at MSRIT in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing. Much of his work has been on images, mainly through the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. Professor Chowdhary is editor/co-editor of 8 books and is the author of over forty articles on computer science. He filed two patents deriving from his research. He was selected in the Stanford University List of Top 2% Scientists Worldwide for 2021 and 2022.

Publications

Enhancing Steganography Through Deep Learning Approaches
Enhancing Steganography Through Deep Learning Approaches
Vijay Kumar, Chiranji Lal Chowdhary, Shakila Basheer, Srinath Doss, Sandeep Singh Sengar. © 2025. 300 pages.
In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods...
Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
Chiranji Lal Chowdhary. © 2023. 296 pages.
Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never...
Breast Cancer Detection Using Hybrid Computational Intelligence Techniques
Breast Cancer Detection Using Hybrid Computational Intelligence Techniques
Debi Prasanna Acharjya, Chiranji Lal Chowdhary. © 2023. 31 pages.
Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze these diseases. But, these images contain uncertainties due to various factors and...
Role of Emotional Intelligence in Agile Supply Chains
Role of Emotional Intelligence in Agile Supply Chains
Akshat Mishra, Swetank Kaushik, Srinivasa Perumal R., Chiranji Lal Chowdhary. © 2023. 11 pages.
The notion of agile supply chains is gaining traction in academia and has been enthusiastically adopted by private corporations. A variety of factors differentiate agile supply...
Investigations in Pattern Recognition and Computer Vision for Industry 4.0
Investigations in Pattern Recognition and Computer Vision for Industry 4.0
Chiranji Lal Chowdhary, Basanta Kumar Swain, Vijay Kumar. © 2023. 276 pages.
The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data...
Blockchain-Based IoT E-Healthcare
Blockchain-Based IoT E-Healthcare
Harpreet Kaur Channi, Chiranji Lal Chowdhary. © 2023. 18 pages.
Numerous industries, including e-healthcare, are capitalizing on and using blockchain and internet of things (IoT) technology. IoT devices may collect patient vitals and other...
Role of Quantum Computing for Healthcare
Role of Quantum Computing for Healthcare
Harpreet Kaur Channi, Chiranji Lal Chowdhary. © 2023. 13 pages.
Quantum computing might accelerate diagnosis, personalize treatment, and optimize prices in healthcare. Quantum-enhanced machine learning is important. Quantum Computing and...
Cognitive Deep Learning: Future Direction in Intelligent Retrieval
Cognitive Deep Learning: Future Direction in Intelligent Retrieval
Chiranji Lal Chowdhary, Ashraf Darwish, Aboul Ella Hassanien. © 2021. 12 pages.
Deep learning states the scientific algorithms that are accustomed to come through a particular assignment. Such tidy issues could also be meteorology or brain diagnosing...
Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation
Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation
Chiranji Lal Chowdhary. © 2021. 14 pages.
With the extensive application of deep acquisition devices, it has become more feasible to access deep data. The accuracy of image segmentation can be improved by depth data as...
Handbook of Research on Deep Learning Innovations and Trends
Handbook of Research on Deep Learning Innovations and Trends
Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary. © 2019. 355 pages.
Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been...
Cognitive Deep Learning: Future Direction in Intelligent Retrieval
Cognitive Deep Learning: Future Direction in Intelligent Retrieval
Chiranji Lal Chowdhary, Ashraf Darwish, Aboul Ella Hassanien. © 2019. 12 pages.
Deep learning states the scientific algorithms that are accustomed to come through a particular assignment. Such tidy issues could also be meteorology or brain diagnosing...
Breast Cancer Detection Using Hybrid Computational Intelligence Techniques
Breast Cancer Detection Using Hybrid Computational Intelligence Techniques
Debi Prasanna Acharjya, Chiranji Lal Chowdhary. © 2018. 30 pages.
Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze these diseases. But, these images contain uncertainties due to various factors and...
Application of Object Recognition With Shape-Index Identification and 2D Scale Invariant Feature Transform for Key-Point Detection
Application of Object Recognition With Shape-Index Identification and 2D Scale Invariant Feature Transform for Key-Point Detection
Chiranji Lal Chowdhary. © 2018. 14 pages.
Humans make object recognition look inconsequential. In this chapter, scale-invariant feature extraction and shape-index depiction are used on a range of images for identifying...
A Hybrid Scheme for Breast Cancer Detection Using Intuitionistic Fuzzy Rough Set Technique
A Hybrid Scheme for Breast Cancer Detection Using Intuitionistic Fuzzy Rough Set Technique
Chiranji Lal Chowdhary, D. P. Acharjya. © 2017. 25 pages.
Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze these diseases. But, these images contain uncertainties due to various factors and...