Biography
Vision & Expertise
In our increasingly connected world, the complexity of internet-linked systems poses significant challenges to seamless and secure interconnectivity. With the integration of diverse AI, machine learning, and security frameworks, I am committed to advancing a framework that simplifies and strengthens complex networks’ interoperability. My goal is to deeply understand and address the layered complexities introduced by these technologies, unravelling the interactions between AI-driven processes, security protocols, and network dynamics. Through this approach, I aim to foster an intelligent and resilient ecosystem that adapts securely and efficiently to evolving technological landscapes, thereby significantly impacting network interoperability and AI.
Background
I am Dr Poonam Yadav, a senior lecturer (equivalent to an Associate Professor) in the Department of Computer Science at the University of York. I earned my M.Tech from IIITA, India, and my Ph.D. from Imperial College London. My postdoctoral experience includes positions as a Senior Research Fellow at IBM Research Lab, Imperial College London, and the University of Cambridge.
Since 2019, I have led a 17-member team at the award-winning System and Network Interoperability (SYSTRON) Lab at the University of York, where we focus on distributed systems, network technologies, and interoperability. Together, we have driven innovative system and network reliability advancements, establishing our lab as a leader in these areas.
My professional service includes roles as a Program Committee (PC) member for leading conferences in systems and networking, such as IMC, TMA, EuroSys, SenSys, SIGCOMM, SECON, WF-IoT, and DCOSS. I have also reviewed top journals, including IEEE Transactions on Computers, IEEE Transactions on Cloud Computing, IEEE Internet of Things, IEEE Transactions on Network and Service Management, IEEE Transactions on Dependable and Secure Computing, and ACM Computing Surveys.
My research contributions include over 60 publications in prominent venues like Nature Machine Intelligence, IEEE Transactions on Network and Service Management, IEEE Internet of Things, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud and Service Computing, IEEE Access, ACM SysML, ACM EdgeSys, IEEE DCOSS, IEEE TMA, and ACM/IEEE IoTDI.
In addition to my academic research, I am committed to public engagement, frequently delivering invited talks on IoT to non-academic audiences. In recognition of my contributions, I was named in Onalytica’s 2022 “Who’s Who in IoT,” which highlights influential researchers in the field of IoT, particularly those fostering active online discourse in education and research.
Track record
I am a Co-Investigator on the EPSRC Future Communication Hub (EP/X040518/1, EP/Y037421/1, with funding of £3 million and £8.5 million, respectively) and a recipient of the prestigious EPSRC New Investigator Award (EP/Y019229/1, £500K).
My track record also includes significant contributions to the EPSRC IAA project, where we explored green, secure, and privacy-aware wireless networks for sustainable, connected and autonomous systems. From January 2020 to November 2021, I served as the Principal Investigator on an EPSRC sub-awarded project (EP/R045178/1), focusing on data negotiability in multi-mode communication networks within the context of the Internet of Things (IoT) and smart cities.
I earned my PhD in 2012, developing an energy-efficient networking stack for resource-constrained devices. Afterwards, I worked as a visiting researcher with IBM Research Labs in New York. I participated in a NERC-funded FUSE (Floodplain Underground Sensor) project, designing and deploying a high-density, wireless underground sensor network to quantify floodplain hydro-ecological interactions.
My experience extends to leading researcher and distributed platform developer roles in the EU FP7 Citizen Cyberlab (317705) project. I investigated citizen science participation through mobile and distributed IoT technologies in this project. I built an online volunteer computing platform and integrated LiveQ, a distributed messaging protocol. Additionally, I contributed to the EPSRC Databox project (EP/N028260/1), which focuses on creating a “Privacy-Aware Infrastructure for Managing Personal Data” in IoT-enabled smart homes.
Throughout my career, I have researched various aspects of IoT applications, infrastructure, networking, and medium access protocols, examining them from perspectives such as resilience, security, privacy, latency, seamless integration, communication, computation, and energy efficiency.
