Assistant Professor
Dr. Ankit Chouhan is currently working as an Assistant Professor at Navrachna University, Vadodara, India. He completed his Ph.D. in Communication Systems from Sardar Vallabhbhai National Institute of Technology Surat (SVNIT), Surat, India in 2025. He received his M.Tech in Digital Communication Engineering from Maulana Azad National Institute of Technology Bhopal (MANIT), Bhopal, and his B.E. in Electronics and Communication Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal.
His research focuses on cognitive radio networks, cooperative spectrum sensing, machine learning for wireless communication, and defense against Byzantine attacks in communication systems. He has authored several SCI-indexed journal papers in reputed international journals, including IEEE Transactions and Elsevier journals, as well as multiple international conference publications.
Dr. Chouhan has actively participated in leading international conferences such as International Conference on Communication Systems & Networks (COMSNETS) and has received travel grants to present his research work. He has also served as a reviewer for reputed journals, including IEEE Transactions on Vehicular Technology, Physical Communication (Elsevier), and Springer Nature journals.
His research interests include wireless communication, cognitive radio networks, signal processing, machine learning, and automatic modulation classification. With experience in both research and teaching, he contributes actively to academic development and interdisciplinary research in modern communication technologies.
· Ph.D. Electronics Engineering (Wireless Communication Engineering) from SVNIT, Surat
· M.Tech. Digital Communication Engineering from MANIT, Bhopal
· B.E. ECE Engineering from RGPV University Bhopal
· 10 years Teaching experience in UG and PG Engineering and 2 years industrial experience.
· Full Time Research Institute Scholar at SVNIT Surat from 2020-2025.
Digital Communication, Communication Systems, Wireless Communication, Cognitive Radio Networks, Machine Learning for Communication Systems, Signal Processing, Digital Electronics, Network Analysis, Control Systems
Innovative teaching Methods
· Studio Pedagogy
· Project Based Learning
· Research-Informed Learning
Digital Communication, Communication Systems, Wireless Communication, Cognitive Radio Networks, Machine Learning for Communication Systems.
Journal Publications (SCI/Scopus Indexed)
1. A. Chouhan, A. Parmar, and K. Captain, “Defense Against Byzantine Attacks in Cooperative Spectrum Sensing Using Entropy of Fluctuation and Deviation,” Computer Networks, Elsevier, 2025.
2. A. Chouhan, A. Parmar, K. Captain, and M. Lopez-Benitez, “Defense Against Byzantine Attacks: Anomaly Detection Using One-Class SVM in Cooperative Spectrum Sensing,” IEEE Transactions on Vehicular Technology, 2025.
3. A. Chouhan, A. Parmar, K. Captain, and M. Lopez-Benitez, “Defending Against Byzantine Attacks in CRNs: PCA-Based Malicious User Detection and Weighted Cooperative Spectrum Sensing,” IEEE Wireless Communications Letters, 2024.
4. A. Chouhan, K. Captain, A. Parmar, and J. Patel, “Defending Cooperative Spectrum Sensing from Byzantine Attacks: An Effective Entropy-Based Weighted Algorithm,” IEEE Wireless Communications Letters, 2023.
5. A. Chouhan, K. Captain, A. Parmar, and R. Kumar, “Single Decision Reporting for Cooperative Spectrum Sensing Under Erroneous Feedback Channels with Byzantine Attack,” Physical Communication, Elsevier, 2022.
6. A. Parmar, A. Chouhan, and K. Captain, “Deep Multilevel Architecture for Automatic Modulation Classification,” Physical Communication, Elsevier, 2024.
7. Y. Likhar and A. Chouhan, “Cognitive Radio Based Spectrum Sensing Using Different Wavelet Methods,” International Research Journal of Engineering and Technology (IRJET), 2017.
8. H. Badgujar, S. Bhatnagar, and A. Chouhan, “An Effective Algorithm on Image Steganography by Using LSB,” 2016.
Conference Publications (International / IEEE)
1. K. Captain, A. Chouhan, and R. Kumar, “Channel Coding for Cooperative Spectrum Sensing Under Imperfect Reporting Channels,” COMSNETS, IEEE, 2022.
2. A. Parmar, K. Captain, U. Satija, and A. Chouhan, “Modulation Classification for NOMA System Using a Modified Residual-CNN,” IEEE WCNC, 2023.
3. A. Chouhan, A. Parmar, K. Captain, P. Maurya, and J. Patel, “Enhancing Cooperative Spectrum Sensing in Cognitive Radio Systems: Mitigating Byzantine Attacks with a Weighted Algorithm,” COMSNETS, 2024.
4. A. Tiwari, A. Chouhan, A. Parmar, and K. Captain, “Reputation-Based Classification for Malicious User Detection in Cognitive Radio Networks,” COMSNETS, 2025.
5. A. Parmar, K. A. Divya, A. Chouhan, and K. Captain, “Dual-Stream CNN-BiLSTM Model with Attention Layer for Automatic Modulation Classification,” COMSNETS, 2023.
6. A. Parmar, K. Captain, R. Kumar, and A. Chouhan, “Performance of Cooperative Spectrum Sensing Under Binary Erasure Reporting Channels,” National Conference on Communications (NCC), IEEE, 2022.
7. R. Shah, A. Chouhan, et al., “Dual-Stream Convolution-GRU-Attention Network for Automatic Modulation Classification,” COMSNETS, 2024.
8. A. Chouhan and M. Shandilya, “A Review on LSB-Based Image Steganography,” International Conference on Innovative Advancement in Engineering and Technology, 2014.
