Publications:

International Journals

Ashok Chandrasekaran and N. Venkateswaran, "An Enhanced Co-Prime Sampler for Effective Coarray-Domain Processing of Underdetermined Direction-of-Arrival Estimation” IEEE Canadian Journal of Electrical and Computer Engineering, vol. 48, no. 2, pp. 124-130, Spring 2025 , May 2025.
Ashok Chandrasekaran, Ishaan Reddy and Ashish Patwari, “An Efficient Approach for Machine Learning-based Angle-of-Arrival Estimation in Passive RADAR”, Journal of The Franklin Institute, May 2025 (under review)
Ashok C, “Efficient Methods for Unambiguous Direction of Arrival Estimation with Co-Prime Linear Arrays”, IEEE Signal Processing PhD Theses, March 2024.
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)

International Conferences

Ashish Patwari, Priyadarshini Raiguru, Ashok Chandrasekaran, “ULA-Inspired Two-Fold Redundant Sparse Linear Array with Closed-Form Expressions And 2/N Fragility”, in proceeding of EUSIPCO 2025, Italy, September, 2025. (European Signal Processing Conference)
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, pp.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.
N. 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.
J. 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.

Patent:

Ashok Chandrasekaran, “Design of improved coprime antenna array configuration for underdetermined target detection in direction-finding RADAR”, Indian patent, May 2024. (Published in Indian Patent Journal & Awaiting FER)

Projects:

Ashok Chandrasekaran (PI), “AI-Based Automated Target Detection for AFVs”, Indian Army (Stage 2), Fund: 20 lakhs.
Ashok Chandrasekaran (Co-Principal Investigator) “Studies on antibacterial efficacy assessment using Machine learning for space and terrestrial environments”, Indian Space Research Organisation, Department of Space, Government of India, Respond Basket 2024, Fund: Approx. 29 lakhs (Selected)
Ashok Chandrasekaran (Program-Chair), “IEEE SPS MDI Cycle 2, Student Design Challenge on 'AV Zoom: Audio Visual Zooming Application for Smartphones”,2025, USD 2100 (Approved)
Ashok Chandrasekaran, proposer and organizer of IEEE SP Cup 2026, ICASSP 2026, Spain.

Invited Talks (Selected):

Resource person for a technical session on “Tiny Machine Learning” at Professional Development Programme on “Advanced AI and Virtual Reality Applications in Electronics and Communication”, SRMIST, October, 2025
Delivered a session on “Intelligent Sensing in RADAR Systems” at AICTE-ATAL FDP on "Advanced Materials for Next-Generation Space and Defence Technologies," 26 August 2025.
Delivered a session on “IoT Protocols” at Two-Week Summer Internship program 2025, organized by the Centre for Internet of Things, MIT Campus, 17 June, 2025
Resource person for the technical session at the IEEE SPS Seasonal School on Signal Processing Frameworks for Autonomous Systems: From Sensing to Intelligent Decision and delivered a talk on “Sparse Sensing Design for Autonomous Systems”, January 2025, (Sponsored by IEEE SPS)
Delivered a talk on “Sparse Arrays for 5G & beyond” at Six-Days FEP on “4G/5G Communication Networks”, Organized by Centre for IoT, Anna University, Chennai, July 2024.
Delivered a talk on “DOA Estimation with Sparse Arrays: Overdetermined and Underdetermined cases” at Two-Days FDP on “ICASSP 2025 Satellite Event Series: Short course on Signal Processing: Sensor Array Signal Processing”, Organized by SRMIT and IEEE SPS, Chennai July 2024.
Delivered a talk on “Unleashing Efficient Computation for Breakthroughs and Beyond”, a Student Empowerment Talk, Organized by Stansford International School, Nov 2024.
Delivered a talk on “Sparse Array Signal Processing using Machine Learning for Passive Radar Applications” at One-week FDP on “Machine Learning for Signal Processing: Applications and Research Challenges”, Organized by KCT in association with IEEE SPS & Texas Instruments, May 2023.
Delivered a talk on “Target Localization with Sparse Arrays via Signal Parameter Estimation Perspective” at One-Day Online FDP on “Array Signal Processing for RADAR Applications”, Organized by IEEE SPS, Madras Chapter and Department of ECE, SSN College of Engineering, Chennai, August 2022.

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