SDG 3: Good Health & Well-Being - Ensure healthy lives and promote well-being for all at all ages
Christo K Thomas received his BS in Electronics and Communication Engineering from National Institute of Technology, Calicut, India in year 2010, his MS in Telecommunication Engineering from Indian Institute of Science, Bangalore, India in year 2012, and his PhD from EURECOM, France in year 2020. He was a postdoctoral fellow at the Electrical and Computer Engineering Department at Virginia Tech during June 2022-July 2025. His research interests include semantic communications, statistical signal processing, and artificial general intelligence (AGI)-native wireless systems. From 2012 to 2014, he was a staff design engineer on 4G LTE with Broadcom communications, Bangalore, and from 2014 to 2017, he was a design engineer with Intel corporation, Bangalore. During November 2020 till June 2022, he was a staff engineer on 5G modems with wireless research and development division of Qualcomm Inc., Espoo, Finland. He was a recipient of the best student paper award at IEEE SPAWC 2018, Kalamata, Greece, and received third prize for his team titled “Learned Chester” ML5G-PHY channel estimation challenge, as part of the ITU AI/ML in 5G challenge, conducted at NCSU, US, 2020. He had presented multiple tutorials on approximate Bayesian inference techniques at several IEEE conferences such as ICASSP and EUSIPCO, and a tutorial on AGI-native networks at IEEE GLOBECOM. He has also edited a Wiley-IEEEPress book on semantic communications and is co-author of a visionary paper on AGI-native networks in Proceedings of IEEE.
Christo K Thomas received his BS in Electronics and Communication Engineering from National Institute of Technology, Calicut, India in year 2010, his MS in Telecommunication Engineering from Indian Institute of Science, Bangalore, India in year 2012, and his PhD from EURECOM, France in year 2020. He was a postdoctoral fellow at the Electrical and Computer Engineering Department at Virginia Tech during June 2022-July 2025. His research interests include semantic communications, statistical signal processing, and artificial general intelligence (AGI)-native wireless systems. From 2012 to 2014, he was a staff design engineer on 4G LTE with Broadcom communications, Bangalore, and from 2014 to 2017, he was a design engineer with Intel corporation, Bangalore. During November 2020 till June 2022, he was a staff engineer on 5G modems with wireless research and development division of Qualcomm Inc., Espoo, Finland. He was a recipient of the best student paper award at IEEE SPAWC 2018, Kalamata, Greece, and received third prize for his team titled “Learned Chester” ML5G-PHY channel estimation challenge, as part of the ITU AI/ML in 5G challenge, conducted at NCSU, US, 2020. He had presented multiple tutorials on approximate Bayesian inference techniques at several IEEE conferences such as ICASSP and EUSIPCO, and a tutorial on AGI-native networks at IEEE GLOBECOM. He has also edited a Wiley-IEEEPress book on semantic communications and is co-author of a visionary paper on AGI-native networks in Proceedings of IEEE.
SDG 3: Good Health & Well-Being - Ensure healthy lives and promote well-being for all at all ages
SDG 9: Industry, Innovation, and Infrastructure - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
SDG 11: Sustainable Cities and Communities - Make cities and human settlements inclusive, safe, resilient and sustainable
Professor Thomas' work focuses on semantic communication, artificial general intelligence, and statistical signal processing.
Featured Works:
C. Kurisummoottil Thomas, C. Chaccour, W. Saad, D. Merouane, and C. S. Hong, “Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks,” IEEE Vehicular Technology Magazine, vol. 19, no. 1, pp. 16–31, Feb. 2024, doi: 10.1109/MVT.2024.3359357.
C. Kurisummoottil Thomas and W. Saad, “Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications,” IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 4546–4563, May 2024, doi: 10.1109/TWC.2023.3319981.
W. Saad, C. Chaccour, C. Kurisummoottil Thomas, and D. Merouane, Eds., Foundations of Semantic Communication Networks. Wiley-IEEE Press, 2024. Accessed: Sept. 25, 2025. [Online]. Available: https://onlinelibrary.wiley.com/doi/epub/10.1002/9781394247912
W. Saad et al., “Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G,” Proceedings of the IEEE, pp. 1–39, 2025, doi: 10.1109/JPROC.2025.3526887.
S. Xu, C. Kurisummoottil Thomas, O. Hashash, N. Muralidhar, W. Saad, and N. Ramakrishnan, “Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems,” IEEE Network, vol. 38, no. 5, pp. 10–20, Sept. 2024, doi: 10.1109/MNET.2024.3427313.