Moncef Gabbouj

Topic: Applied AI

Tampere University, Finland

Moncef Gabbouj received his BS degree in 1985 from Oklahoma State University, and his MS and PhD degrees from Purdue University, in 1986 and 1989, respectively, all in electrical engineering. Dr. Gabbouj is a Professor of Information Technology at the Department of Computing Sciences, Tampere University, Tampere, Finland. He was Academy of Finland Professor during 2011-2015. His research interests include Big Data analytics, multimedia content-based analysis, indexing and retrieval, artificial intelligence, machine learning, pattern recognition, nonlinear signal and image processing and analysis, voice conversion, and video processing and coding. Dr. Gabbouj is a Fellow of the IEEE and member of the Academia Europaea and the Finnish Academy of Science and Letters. He is the past Chairman of the IEEE CAS TC on DSP and committee member of the IEEE Fourier Award for Signal Processing. He served as associate editor and guest editor of many IEEE, and international journals and Distinguished Lecturer for the IEEE CASS. He served as General Chair of two IEEE SPS and CAS Flagship conferences, ICIP and ISCAS as well as ICME 2021. Dr. Gabbouj is the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics (CVDI) and led the Artificial Intelligence Research Task Force of the Ministry of Economic Affairs and Employment funded Research Alliance on Autonomous Systems (RAAS).

Muhammad Ali Imran

Topic: Emerging Technologies shaping the future of Communication Systems

Muhammad Ali Imran (M’03, SM’12) Fellow IET, Senior Member IEEE, Senior Fellow HEA is the Dean University of Glasgow UESTC and a Professor of Wireless Communication Systems with research interests in self organised networks, wireless networked control systems and wireless sensor systems. He heads the Communications, Sensing, and Imaging (CSI) research group at the University of Glasgow and is Director of the Centre for Educational Development and Innovation. He is an Affiliate Professor at the University of Oklahoma, USA; an Adjunct Research Professor at Ajman University, UAE, and a visiting Professor at 5G Innovation Centre, University of Surrey, UK. He is also the Principal Investigator for Scotland 5G Centre’s Urban Testbed in Glasgow and an advisory board member for UK5G. He has over 20 years of combined academic and industry experience with several leading roles in multi-million pounds funded projects. He has filed 15 patents; has authored/co-authored over 400 journal and conference publications; has authored 2 books, edited 8 books, and authored more than 30 book chapters; has successfully supervised over 40 postgraduate students at the Doctoral level. He has been a consultant to international projects and local companies in the area of self-organised networks.

Giuseppe Loianno

Topic: Robotics, autonomous navigation, sensor fusion, UAVS

Prof. Giuseppe Loianno is an assistant professor at the New York University and director of the Agile Robotics and Perception Lab ( working on autonomous Micro Aerial Vehicles. Prior to NYU he was a lecturer, research scientist, and team leader at the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania. He received his BSc and MSc degrees in automation engineering, both with honors, from the University of Naples "Federico II" in December 2007 and February 2010, respectively. He received his PhD in computer and control engineering focusing in robotics in May 2014. Dr. Loianno has published more than 70 conference papers, journal papers, and book chapters. His research interests include visual odometry, sensor fusion, and visual servoing for micro aerial vehicles. He is a worldwide expert in autonomy for agile small-scale aircrafts. He received the Conference Editorial Board Best Reviewer Award at ICRA 2016, National Italian American Foundation (NIAF) Young Investigator Award 2018. He is the program chair for IEEE SSRR 2019 and SSRR 2020. He has organized multiple workshops on Micro Aerial Vehicles during IROS conferences and created the new International Symposium on Aerial Robotics (ISAR). His work has been featured in a large number of renowned international news and magazines.

Christian Claudel

Topic: Multi-agent path planning

Christian Claudel is an Associate Professor of Civil, Architectural and Environmental Engineering at UT-Austin. He received the PhD degree in Electrical Engineering from UC-Berkeley in 2010, and the MS degree in Plasma Physics from Ecole Normale Superieure de Lyon in 2004. He received the Leon Chua Award from UC-Berkeley in 2010 for his work on the Mobile Millennium traffic monitoring system. His research interests include control and estimation of distributed parameter systems, wireless sensor networks and unmanned aerial vehicles.