Geetha Chandrasekaran earned her B.E., M.S., and Ph.D degrees in Electronics and Communication Engineering from CEG Anna University,  IIT Madras, and  UT Austin, respectively.  She is currently a faculty of the Department of Computational Engineering and Mathematical Sciences at Texas A&M -- San Antonio. Her doctoral thesis focuses on improving Quality of Service (QoS) for next-generation wireless applications drawing on recent developments in machine learning algorithms and wireless communication networks. She has worked on several algorithms for the physical and MAC layers of the wireless communication protocol. She also has over five years of experience in Consumer Electronics and Telecommunications,  including design, development, innovation, and maintenance of embedded firmware for various Consumer Electronic products at Honeywell and Motorola.  A key focus of her research is improving the performance of next-generation wireless communication networks using statistical inference and machine learning.

Publications

• G. Chandrasekaran, “An Upper Bound on the Loss Probability of Network Slice Requests with Impatient Tenants”, Work in Progress.
•  G. Chandrasekaran, G. de Veciana, V. Ratnam, H. Chen, C. Zhang, “Measurement Based Delay and Jitter Constrained Wireless Scheduling with Near-Optimal Spectral Efficiency”, IEEE Trans. Netwk. 2024.
• G. Chandrasekaran, G. de Veciana, “Opportunistic Scheduling for Users with Heterogeneous Minimum Rate QoS Requirements”, IEEE ICC, Jun 2024. 
• G. Chandrasekaran, G. de Veciana, V. Ratnam, H. Chen, C. Zhang, “Delay and Jitter Constrained Wireless Scheduling With Near-Optimal Spectral Efficiency”, IEEE PIMRC, Sep 2023. 
• G. Chandrasekaran, G. de Veciana, V. Ratnam, H. Chen, C. Zhang, “Spectrally Efficient Guaranteed Rate Scheduling for Heterogeneous QoS Constrained Wireless Networks”, IEEE WiOpt, Aug 2023.
• G. Chandrasekaran, G. de Veciana, “Distributed Reinforcement Learning based Delay Sensitive Decentralized Resource Scheduling”, IEEE WMLC, Aug 2023. 
• G. Chandrasekaran, S. Kalyani, “Performance Analysis of Cooperative Spectrum Sensing over 𝜅-𝜇 Shadowed Fading”, IEEE Wireless Commun. Lett., Jul 2015. 
• S. Kumar, G. Chandrasekaran, S. Kalyani, “Analysis of Outage Probability and Capacity for 𝜅-𝜇/𝜂-𝜇 Faded Channel”, IEEE Commun. Lett., Feb 2015.
• Sangeetha Govindaraju, Geetha Chandrasekaran, et al., “Systems and methods for auto addressing in a control network ”, US Patent no: 8489779B2, 2013.