Ulster University’s Dr Sunish Kumar Orappanpara Soman talks about his research, which focuses on quantum networking and high-speed communications.
Dr Sunish Kumar Orappanpara Soman is an assistant professor in electronics and software engineering at Ulster University in Northern Ireland and an adjunct professor at Memorial University of Newfoundland, Canada.
He specialises in the cross-section between signal processing, machine learning, and cutting-edge communications such as optical, wireless, and quantum systems. He also helps promote STEM engagement to secondary school students in Belfast, where he lives.
“My background is in digital signal processing and machine learning for advanced communication systems. I completed my PhD working on signal processing techniques for optical fibre networks, followed by postdoctoral research focused on fibre nonlinearity compensation and deep learning,” he tells SiliconRepublic.com.
“Alongside my academic roles, I serve as an associate editor for the IEEE Open Journal of the Communications Society and IEEE Communications Surveys & Tutorials, and I remain actively involved in international research networks.
“At Ulster University, my work now combines research leadership, teaching, and public engagement – particularly around emerging quantum communication systems.”
Tell us about the research you’re currently working on.
My current research brings together signal processing, machine learning, and quantum technologies in support of the UK’s National Quantum Strategy. Building on my PhD and postdoctoral work, I focus on three main areas.
The first is hybrid quantum-classical transmission over optical fibre, enabling secure quantum key distribution alongside conventional data traffic. The second explores 6G-enabled sensing and communication, particularly for geothermal energy monitoring using technologies such as massive MIMO and UAVs. The third investigates quantum learning algorithms to help manage and optimise future quantum communication networks.
These projects are highly collaborative, involving doctoral researchers, academic colleagues, and industry partners. Together, we’re working toward secure, energy-efficient communication systems that support national priorities in quantum networking, sensing, and sustainable infrastructure.
In your opinion, why is your research important?
At its core, my research addresses how we communicate securely, efficiently and sustainably in an increasingly data-driven world. By advancing signal processing and machine learning across optical, wireless and quantum systems, we can build networks that are faster, more resilient and more energy-efficient.
The long-term impact includes greener communication infrastructure, better monitoring of renewable energy resources, and quantum-ready security for critical services such as healthcare, transport and national infrastructure. These technologies will play a key role in delivering both economic and societal benefits as we move into the quantum era.
What inspired you to become a researcher?
My fascination began with a simple question: how does information move through complex systems? During my master’s research in India, I worked on modelling signal transmission in nonlinear optical fibre networks.
I still remember the moment when a mathematical model I’d been developing directly translated into improved system performance. Seeing theory, algorithms, and real-world engineering come together was transformative. That experience led me to pursue a PhD – and it continues to drive my curiosity across optical, wireless, and quantum communications today.
What are some of the biggest challenges or misconceptions in your field?
One major challenge is translating advanced theory into solutions that work reliably at scale. Whether in optical, wireless, or quantum systems, achieving high performance while keeping networks energy-efficient, secure and affordable is extremely demanding.
A common misconception is that communications and quantum research are abstract or removed from everyday life. In reality, these technologies underpin high-speed connectivity, emerging 6G-sensing applications, and the secure networks of the future. Bridging the gap between complex science and practical impact is challenging – but it’s also one of the most rewarding parts of the work.
Do you think public engagement with science has changed in recent years?
Absolutely. The Covid-19 pandemic brought science and data into everyday conversation, highlighting how research directly affects lives. Since then, there’s been growing public interest in areas such as data security, sustainable energy and resilient infrastructure.
Technologies like quantum communications, optical networks and 6G sensing are now discussed well beyond academic circles. This places a responsibility on researchers to communicate clearly, openly, and in ways that connect innovation to real societal needs.
How do you encourage engagement with your own work?
I try to engage through multiple channels – from open-access publications and invited talks to workshops and mentoring. Working as an associate editor for IEEE journals also allows me to support high-quality, accessible research dissemination.
I think it’s equally important to involve students and early-career researchers in projects that link theory with practical applications, whether in quantum-secure networks or climate-aware sensing. Collaboration with industry and interdisciplinary teams helps ensure our work delivers tangible outcomes that people can relate to and understand.
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