IEEE International Conference on Machine Learning for Communication and Networking
5–8 May 2024 // Stockholm, Sweden

Student Panel

Doctoral Forum Panel

Time: 16:00-17:00, Tuesday, May 7
Location: H-Building at Teknikringen 33

Exploring Paths: A Panel Discussion on Careers in Industry and Academia

Panelists: Dani Korpi (Nokia, Finland), Hina Tabassum (York University, Canada), Hossein S. Ghadikolaei (Ericsson, Sweden) 

Moderators: Carolina Fortuna, Jose Mairton Barros da Silva Jr.

Description: An engaging and insightful panel discussion that delves into the interplay between careers in academia and industry. This session will bring together accomplished experts from both sides of the spectrum, offering an exploration of the challenges, synergies, and opportunities that arise from careers in industry and academia. The panel will begin with a presentation on life in academia, followed by a presentation on life in industy, and finally a discussion with all panelists.


Dani Korpi is currently a Senior Specialist with the Nokia Bell Labs, Espoo, Finland. He received the M.Sc. and D.Sc. degrees (Hons.) in communications engineering and electrical engineering from the Tampere University of Technology (TUT), Finland, in 2014 and 2017, respectively. His Ph.D. thesis received the Best Dissertation of the Year Award from TUT and the Finnish Technical Sectors Award for the best doctoral dissertation, in 2017. His current research interest includes applying machine learning to wireless communications, especially on the physical layer. In particular, he is working on building a native foundation for machine learning in 6G radio networks.

Dr. Hina Tabassum (Senior Member, IEEE) received the Ph.D. degree from the King Abdullah University of Science and Technology (KAUST). She is currently an Associate Professor with the Lassonde School of Engineering, York University, Canada, where she joined as an Assistant Professor, in 2018. She is also appointed as the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023, for five years. Prior to that, she was a postdoctoral research associate at University of Manitoba, Canada.

Professor Tabassum has made significant contributions in the development of a diverse spectrum of statistical models and numerical optimization algorithms. These innovations are tailored to enhance the performance of 5G and 6G-enabled mobility-aware wireless communications and sensing networks, catering to a wide array of applications encompassing vehicular, aerial, space, and IoT sensing networks. Her professional expertise extends to the formulation of classical deep learning-based solutions for wireless sensing and communications. She has published over 90 refereed papers in well-reputed IEEE journals, magazines, and conferences. Her publications thus far have garnered more than 5500 citations with an H-index of 35 (according to Google Scholar).

She received the Lassonde Innovation Early-Career Researcher Award in 2023 and the N2Women: Rising Stars in Computer Networking and Communications in 2022. She was listed in the Stanford's list of the World’s Top Two-Percent Researchers in 2021 and 2022. She has been recognized as an Exemplary Editor by the IEEE Communications Letters (2020), IEEE Open Journal of the Communications Society (IEEE OJCOMS) (2023), and IEEE Transactions on Green Communications and Networking (2023).  She was recognized as an Exemplary Reviewer (Top 2% of all reviewers) by IEEE Transactions on Communications in 2015, 2016, 2017, 2019, and 2020. She is the Founding Chair of the Special Interest Group on THz communications in IEEE Communications Society (ComSoc)-Radio Communications Committee (RCC). She served as an Associate Editor for IEEE Communications Letters (2019–2023), IEEE OJCOMS (2019–2023), and IEEE Transactions on Green Communications and Networking (2020–2023). Currently, she is also serving as an Area Editor for IEEE OJCOMS and an Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Communications Surveys and Tutorials.

Hossein S. Ghadikolaei received a Ph.D. degree in Electrical Engineering and Computer Science from the KTH Royal Institute of Technology, Stockholm, Sweden, in 2018. He is now with Ericsson Research, Kista, Sweden. 

His research interests include distributed optimization and machine learning, with applications in communication networks. He was a recipient of the IEEE Communications Society Stephen O. Rice Prize, in 2018, the Premium Award for the Best Paper in IET Communications, in 2014, and the Program of Excellence Award from KTH, in 2013, among others. He was selected as an Exemplary Reviewer for the IEEE Transactions on Communications, in 2017 and 2018, and served as an Associate Editor of IEEE Communications Letters.