Rate My Professor Gopika Premsankar

Gopika Premsankar is a tenure-track Assistant Professor in the Department of Information and Communications Engineering, School of Electrical Engineering, at Aalto University, where she leads the Cloud and Network Computing research group. The group focuses on networked systems for connectivity and data processing of devices such as IoT sensors, drones, and mixed reality headsets, emphasizing sustainability, performance, and reliability through optimization techniques, applied machine learning, and statistical analysis. Her research contributes to UN Sustainable Development Goals including affordable and clean energy, industry innovation and infrastructure, and sustainable cities and communities.

Premsankar obtained her Doctor of Science (Tech.) from the Department of Computer Science at Aalto University in 2020, with a dissertation entitled 'Scalable networked systems: analysis and optimization' supervised by Prof. Mario Di Francesco. She also earned a Master of Science (Tech.) with distinction from the same department in 2015 and a Bachelor of Technology in Electrical and Electronics Engineering from the National Institute of Technology Karnataka, Surathkal, India, in 2010. Her professional experience includes postdoctoral researcher positions at the University of Helsinki from September 2021 to January 2024, Ivey Business School at Western University, Canada, from February to August 2021, and Aalto University from April 2020 to January 2021. She has conducted research internships at Nokia Bell Labs in 2019 and IBM Research in 2016, as well as visiting researcher roles at VU Amsterdam in 2023, Duke University in 2019, and National Chiao Tung University in 2018. Prior to academia, she served as a Software Engineer at Cisco Systems India from 2011 to 2013 and an Associate Software Engineer at Accenture from 2010 to 2011.

Premsankar's research interests encompass scalable networked systems, energy-efficient edge computing, carbon-aware networking, Internet of Things, LoRa networks, and networking challenges for augmented reality. Notable publications include 'Edge computing for the Internet of Things: A case study' (IEEE Internet of Things Journal, 2018), 'Optimal configuration of LoRa networks in smart cities' (IEEE Transactions on Industrial Informatics, 2020), 'Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions' (IEEE Communications Surveys & Tutorials, 2021), 'Data-driven Energy Conservation in Cellular Networks: A Systems Approach' (IEEE Transactions on Network and Service Management, 2021), 'InDepth: Real-time Depth Inpainting for Mobile Augmented Reality' (Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2022), 'Energy-Efficient Service Placement for Latency-Sensitive Applications in Edge Computing' (IEEE Internet of Things Journal, 2022), 'Learning How to Configure LoRa Networks with No Regret: a Distributed Approach' (IEEE Transactions on Industrial Informatics, 2023), and 'A robust optimization approach for placement of applications in edge computing considering latency uncertainty' (Omega: International Journal of Management Science, 2024). Her publications have accumulated over 2,300 citations on Google Scholar. Awards include the Best Student Paper Award at IEEE/IFIP NOMS 2018, Aalto Foundation travel grants, and scholarships for her studies.