Group Research Members

Prof Mathini Sellathurai
Mathini Sellathurai (IEEE Fellow) is currently a professor of signal processing and wireless communications and Dean of Science and Engineering at Heriot-Watt University, Edinburgh, U.K. She has been active in signal processing research for the past 20 years and has a strong international track record in wireless communications. She held visiting positions with Bell-Laboratories, Holmdel, NJ, USA, and at the Canadian Communications Research Centre, Ottawa, Canada. She has published over 250 peer-reviewed papers in leading international journals and conferences and two research monographs. Her present research includes machine learning and statistical signal processing, wireless communications, full-duplex communications and radar, assistive care, robotics and hearing aids. She is a recipient of an IEEE Communication Society WIE mentorship award (2022), the Fred W. Ellersick Best Paper Award (2005), the Industry Canada Public Service Awards (2005), and Technology Transfers awards (2004). She received the Natural Sciences and Engineering Research Council of Canada (NSERC) Doctoral Award for her Ph.D. dissertation. She was an Editor for IEEE Transactions of Signal Processing from 2009 to 2018, the General Chair of IEEE Signal Processing Advances in Wireless Communications (2016), and a member of the IEEE SPCOM Technical Committee from 2014 to 2019. She is a member of the IEEE History Committee and Strategic Advisory Team of UK Research Council.. She is an invited Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) and Women Engineering Society (WES), U.K.
<img class="profile-image" src="https://spcom.site.hw.ac.uk/wp-content/uploads/sites/95/2025/04/Anis.png" alt="Picture of Dr <strong>Anis Hamadouche
Dr Anis Hamadouche
Anis Hamadouche earned his B.Eng. in Electrical Engineering in 2013 and his M.S. in Control Engineering in 2015, both from the Institute of Electronics and Electrical Engineering (IGEE), University of Boumerdes, Algeria. He completed his PhD in Electrical Engineering at Heriot-Watt University, UK, in 2024. His doctoral research focused on the design and analysis of hardware-accelerated optimisation solvers for model predictive control in resource-constrained systems, leveraging reconfigurable FPGA architectures. He developed robust verification frameworks and established theoretical convergence guarantees for widely used algorithms under conditions of limited precision and computational inaccuracy.
From 2015 to 2017, he served as a Research Assistant at the Laboratory of Signals and Systems, where he worked on fault detection and diagnosis for large-scale industrial systems. In 2017–2018, he was a Visiting Researcher at the University of Sheffield (UK), contributing to the development of data-driven fault detection and diagnosis techniques.
Since 2023, Anis has been a Postdoctoral Research Associate at Heriot-Watt University, where his work centres on integrated sensing and communication (ISAC) systems. His research includes the design of ISAC algorithms, studies on defective antennas and nonlinear communication channels, CSI tracking in mmWave and 6G systems, hardware acceleration of O-RAN components, and the integration of non-terrestrial and terrestrial networks.
From 2015 to 2017, he served as a Research Assistant at the Laboratory of Signals and Systems, where he worked on fault detection and diagnosis for large-scale industrial systems. In 2017–2018, he was a Visiting Researcher at the University of Sheffield (UK), contributing to the development of data-driven fault detection and diagnosis techniques.
Since 2023, Anis has been a Postdoctoral Research Associate at Heriot-Watt University, where his work centres on integrated sensing and communication (ISAC) systems. His research includes the design of ISAC algorithms, studies on defective antennas and nonlinear communication channels, CSI tracking in mmWave and 6G systems, hardware acceleration of O-RAN components, and the integration of non-terrestrial and terrestrial networks.

Dr Ali Taimori
Ali Taimori is a research associate at the Institute of Signals, Sensors and Systems, the School of Engineering & Physical Sciences, Heriot-Watt University (HWU). Before joining HWU, he worked at the University of Edinburgh for more than four years as a post-doctoral research associate.
He is a specialist in deterministic and statistical signal, image, and video processing. He employs the principles of processing to general applications across science, for instance, practicing signal processing for communications, sensing, imaging, vision, information forensics, artificial intelligence, machine learning, natural intelligence, biomedical engineering, control, cybernetics, and intelligent transportation systems.
He is a reviewer of several journals, including IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Computational Imaging, Journal of Visual Communication and Image Representation, Artificial Intelligence Review, and Digital Signal Processing.
His hobbies are mountain climbing, physical activities, exploring in nature, playing games, and long-life learning.
Google Scholar: https://scholar.google.com/citations?user=5z6H5KcAAAAJ&hl=en
He is a specialist in deterministic and statistical signal, image, and video processing. He employs the principles of processing to general applications across science, for instance, practicing signal processing for communications, sensing, imaging, vision, information forensics, artificial intelligence, machine learning, natural intelligence, biomedical engineering, control, cybernetics, and intelligent transportation systems.
He is a reviewer of several journals, including IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Computational Imaging, Journal of Visual Communication and Image Representation, Artificial Intelligence Review, and Digital Signal Processing.
His hobbies are mountain climbing, physical activities, exploring in nature, playing games, and long-life learning.
Google Scholar: https://scholar.google.com/citations?user=5z6H5KcAAAAJ&hl=en

Dr Kexin Wang
Kexin Wang received the B.S. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2015, and the M.S. degree in 2017 from Heriot-Watt University, Edinburgh, U.K., where he is currently working toward the Ph.D. degree with the Advanced Optical Communication and Imaging Lab, Institute of Photonics and Quantum Sciences. His research interests include high-speed secure optical communication systems, optical layer security, underwater optical wireless communication, and 3D printing techniques.

Dr Kenneth Ikeagu
Kenneth Ikeagu received a Bachelor’s degree in Electronic Engineering (First Class Honours) from the University of Nigeria, Nsukka in 2015, a Master’s degree in Telecommunications and Wireless Systems Engr. (Distinction) from the University of Liverpool in 2019, and the Ph.D. degree from Heriot-Watt University in 2024. He is currently a research associate with the research institute of signals, sensors and systems (ISSS) at Heriot-Watt University, Edinburgh. His research interests include machine learning for wireless communications, semantic communications and Intelligent Reflecting Surface-assisted communications.

Mr ABhimanyu Gulia (PhD student)
Abhimanyu Gulia is a PhD researcher in Electrical and Electronics Engineering at Heriot-Watt University, he is working on a groundbreaking system that integrates 60GHz Wi-Fi-based distributed sensing with robot control, utilizing environment-aware M2M semantic communication.
With a Master’s in Robotics from Heriot-Watt University and a Bachelor’s in Computer Science from the University of Delhi, Abhimanyu has developed expertise across embedded systems, intelligent robotics, AI, and machine learning. His innovative projects range from self-tuning drones and AI-driven medical platforms to smart home-integrated robotic solutions.
Beyond academia, Abhimanyu has demonstrated leadership through roles as President of the Centre for Robotics & AI at Ramanujan College and as a Research Intern at Heriot-Watt’s Robotarium. His ability to merge technical prowess with practical applications makes him a driving force in the robotics and AI landscape.
With a Master’s in Robotics from Heriot-Watt University and a Bachelor’s in Computer Science from the University of Delhi, Abhimanyu has developed expertise across embedded systems, intelligent robotics, AI, and machine learning. His innovative projects range from self-tuning drones and AI-driven medical platforms to smart home-integrated robotic solutions.
Beyond academia, Abhimanyu has demonstrated leadership through roles as President of the Centre for Robotics & AI at Ramanujan College and as a Research Intern at Heriot-Watt’s Robotarium. His ability to merge technical prowess with practical applications makes him a driving force in the robotics and AI landscape.