Organizers

Dr. Lucio Marcenaro, Associate Professor, Department of Electrical, Electronic, Telecommunications, Engineering and Naval Architecture (DITEN), Via all'Opera Pia 11, 16145 Genova (Italy). Email: lucio.marcenaro@unige.it

Short Bio: Lucio Marcenaro, Senior Member, IEEE is currently an Associate Professor of telecommunications with the University of Genoa, Italy. He has more than 20 years of experience in image and video sequence analysis. He has authored or co-authored about 200 technical papers on signal and video processing for computer vision. He is also an Senior Area Editor of the IEEE Transactions on Image Processing, the Technical Program Co-Chair of the 13th International Conference on Distributed Smart Cameras (ICDSC) and the First IEEE International Conference on Autonomous Systems (IEEE ICAS 2021), a Co-Organizer of the 2019 Summer School on Signal Processing (S3P), and the General Chair of the Symposium on Signal Processing for Understanding Crowd Dynamics. He is active within the IEEE Signal Processing Italy Chapter and was the Director of the Student Services Committee of the IEEE SPS from 2018 to 2021 and chair of the IEEE SPS Autonomous Systems Initiative (ASI) since 2023. His main current research interests are video processing for event recognition, detection, and localization of objects in complex scenes, distributed heterogeneous sensors, environmental awareness systems, environmental intelligence and bio-inspired cognitive systems, autonomous systems.

Dr. Maheshkumar H. Kolekar, Associate Professor, Electrical Engineering Department, IIT Patna. Email: mahesh@iitp.ac.in 

Short Bio: Maheshkumar H. Kolekar, Senior Member, IEEE, is working as an Associate Professor in Dept. of Electrical Engg. at Indian Institute of Technology Patna, India. He received the Ph.D. degree in Electronics and Electrical Communication Engg. from IIT Kharagpur in 2007. From 2008 to 2009, he was a Post-doctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA where he worked on video surveillance systems. During May to July 2017, he worked as DAAD fellow in Technical University Berlin in the area of EEG signal analysis using machine learning and deep learning. He has authored a book titled, “Intelligent Video Surveillance Systems: An Algorithmic Approach”, CRC Press, Taylor and Francis Group, (2018). He served as a Head, Dept of Electrical Engg, IIT Patna in 2013 for one year and Head of the Center (HoC) for Advanced Systems Engineering, IIT Patna during 2014 to 2016 for two years. He served as Professor-in-charge, National Knowledge Network of IIT Patna during August 2017 to Sept 2019. He has successfully completed R and D project sponsored by Principal Scientific Advisor to Govt of India on abnormal human activity recognition. He is serving as Editor, IETE Journal of Research since 2022. His name has appeared continuously for three years (2021, 2022, 2023 and 2024) in the top 2% of scientists in the world in the area of artificial intelligence and image processing, according to a list released by Stanford University, USA

Dr. Marcus Greiff, Research Scientist, Human Interactive Driving, Toyota Research Institute, Los Altos, California, USA. Email: marcus.greiff@tri.global.

Short Bio: Marcus Greiff, Member, IEEE, is a Research Scientist at Toyota Research Institute. He received the Ph.D. degree in Automatic Control from Lund University in 2021. From 2019 to 2024, he was a Researcher at Mitsubishi Electric Research Laboratories, Cambridge, USA, where he worked on Bayesian inference for vehicle positioning and nonlinear control theory for UAVs. Dr Greiff has authored or co-authored more than 50 technical papers on signal processing, computer vision and control theory, and is the inventor or co-inventor of more than 10 US patents in related fields. He is the recipient of the best student paper award at the 2020 IEEE CCTA conference, the outstanding paper award at the 2022 IEEE CCTA conference, and the best paper award at the 2024 Conference on Robotic Learning (CoRL) conference. He has been on the program committee of the IEEE Conference on Information Fusion, and served as chair and co-chair at other IEEE conferences. Dr. Greiff has given public demonstrations with UAVs at events such as the 2024 Consumer Electronics Show. His current research interests are in perception and localization for vehicles operating at their physical limits, and the interplay between perception and control in autonomous vehicles and UAVs.