Chiranji Lal Chowdhary

Chiranji Lal Chowdhary received his Ph.D. in information technology and engineering from VIT University; his M.Tech. in computer science and engineering from (M. S. Ramaiah Institute of Technology, Bangalore), Visvesvaraya Technological University, Belagavi; and his B.E. in computer science and engineering from MBM Engineering College, Jai Narain Vyas University, India. He is currently working as an Associate Professor in the School of Information Technology and Engineering, VIT University. He has 15 years of experience in academia and 6 months of experience in the industry. He has received research awards for publishing research papers in refereed journals from VIT University 5 times consecutively. He has guided more than 20 graduate projects and more than 20 postgraduate level projects. His publications are indexed by the Clarivate Analytics, IEEE Computer Society, SCOPUS, the ACM Digital Library, and other abstract and citation databases. He is a reviewer for many reputed journals. He is a life member of the Computer Society of India, the Indian Science Congress Association, and the Indian Society for Technical Education. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing books. He has written 3 books and editing 3 books with a reputed publisher. His current research included digital image processing, deep learning, pattern recognition, soft computing, and biometric systems.

Publications

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
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
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
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
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
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
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
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
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
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
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
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
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
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...