Dr. Ashok Chandrasekaran has more than 7 years of experience in teaching and research and has worked across domains including Signal Processing, Sparse Sampling, Detection and Estimation Theory, Machine Learning, Passive RADAR systems, and Smart Antenna Systems – 5G Beamforming. He has published research papers in renowned international and national journals and conferences such as IEEE, Springer, Elsevier, and PIER. Notably, his work on a machine learning-inspired DOA estimation method earned him the IEEE Publication Award in 2021 from the IEEE Madras section. Moreover, some of his conference papers have been recognized with best paper awards at IEEE and IETE conferences. He has been recognized as a peer reviewer for leading journals, including IEEE Transactions on Vehicular Technologies, IEEE Sensors Journal, IEEE Systems Journal, and various Elsevier, Hindawi Journals and conferences.
In his academic and research span, he has been associated with Central Electronics Engineering Research Institute (CEERI) as a Project Trainee on a Machine Vision System project in 2013 and Indian Institute of Technology (IIT), Bhubaneswar on a DOA Estimation project in 2016. Furthermore, he has delivered invited lectures and talks at various academic events, including Faculty Development Programs sponsored by the Centre for Faculty Development (CFD), Anna University, and IEEE chapters. In 2023, he obtained his Ph.D. in the field of array signal processing from Anna University. In 2016, he completed his Masters in Engineering with a specialization in Communication Systems. He earned his B.Tech (Honours) degree in Electronics and Communication Engineering in 2013.
Research Interests:
- Array Signal Processing
- Sparse Sampling
- Passive RADAR and SONAR system – Target Localization
- Machine Learning Algorithms for Beyond 5G (B5G) Applications
Awards and Recognition
- Received IEEE Publication Award 2021 from IEEE Madras section for his research paper on machine learning-inspired DOA estimation method, published in the IEEE Journal named IEEE Communications Letters.
- Received Best Paper Award in International Conference on Power of Artificial Intelligence and Machine Learning for Human Empowerment – IETE Chencon 2022 organized by The Institution of Electronics and Telecommunication Engineers (IETE) Chennai Centre.
- Reviewer in
- IEEE Transaction on Vehicular Technologies from 2020
- IEEE Sensors Journal from 2022.
- IEEE Systems Journal from 2022
- Hindawi Wireless Communications and Mobile Computing from 2022
Publications
Publications
International Journals
- Ashok C and Venkateswaran N, “Manifold Ambiguity-Free Low Complexity DOA Estimation Method for Unfolded Co-Prime Arrays”, IEEE Communications Letters, vol. 25, no. 6, pp. 1886-1890, June 2021. (IF: 3.553)
- Ashok C, Venkateswaran N, Vaddi Lakshmi Satya Sai Sarojini and Sneha Rajan, “An Unambiguous DOA Estimation Method for Coprime Array with Displaced Subarrays”, Vol. 195, pp.108818, Applied Acoustics (Elsevier), June 2022. (IF: 3.614)
- Ashok C and Venkateswaran N, “An Efficient Method for Resolving Ambiguity in DOA Estimation with Coprime Linear Array”, Circuits Systems and Signal Processing (Springer), Vol. 41, pp. 2411–2427, November 2021. (IF: 2.311)
- Ashok C and Venkateswaran N, “An Improved Polynomial Rooting-based Method for Solving Non-Trivial Ambiguity in Direction-Finding using an Unfolded Co-prime Linear Array”, Signal, Image and Video Processing (Springer), Vol.17, pp, 219–226, February 2023. (IF: 2.157)
- Ashok C and Venkateswaran N, “A Computationally Efficient Modified MUSIC Spectrum for Resolving DOAs of Multiple Closely Spaced Non-Gaussian Sources,” Progress In Electromagnetics Research C, Vol. 102, 241-251, 2020. (IF:1.68)
- Ashok C and Venkateswaran N,” An Enhanced Co-prime Sampler for Effective Coarray Domain Processing of Underdetermined Direction-of-Arrival Estimation” IEEE Transactions on Antennas and Propagation, September 2023. (Under Review)
International Conferences
- Ashok C, Vaddi Lakshmi Satya Sai Sarojini, Venkateswaran N, “Direction-Of-Arrival Estimation of Multiple Closely Spaced Signals using MVDR-CSVR Approach”, in Proceedings of International Conference on Power of Artificial Intelligence and Machine Learning for Human Empowerment, IETE Chencon, 47-51, India,2022.
- Ashok C, Sharon Jacob and Swetha John, “A Cumulant Based Subspace Method for Signal Parameter Estimation”, in Proceedings of IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT), pp. 63-67, India, 2018.
- Ashok C, Pranishaa Prakash and Vinodha Gunasekaran, “Adaptive DOA Estimation Using Subspace Method for Underwater Applications”, in Proceedings of IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT), pp. 68-71, India,2018.
- Venkateswaran and Ashok C, “DoA estimation of Near-Field sources using Support Vector Regression”, in Proceedings of IEEE Region 10 International Conference TENCON, pp. 1570-1574, Singapore, 2016.
- Ashok C and N. Venkateswaran, “Support Vector Regression Based Direction of Arrival Estimation in Heavy-Tailed Noise Environment”, in Proceedings of IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 99-102, India, March 23, 2016.
- Surya Prakash, K. Annamalai Vignesh, Ashok C, R. Adhithyan, “Multi-Class Support Vector Machines Classifier for Machine Vision Application”, in Proceedings of IEEE International Conference on Machine Vision and Image Processing (MVIP12), Pages: 197-199, India, December 15, 2012.
