Danil Prokhorov is head of the Future Research Department in Toyota Motor North America R&D. He started his research career in Russia. He studied system engineering which included courses in math, physics, mechatronics and computer technologies, as well as aerospace and robotics. He received his M.S. with Honors in St. Petersburg, Russia, in 1992. After receiving Ph.D. in 1997, he joined the staff of Ford Scientific Research Laboratory, Dearborn, Michigan. While at Ford he pursued machine learning research focusing on neural networks with applications to system modeling, powertrain control, diagnostics and optimization. He has been involved in research and planning for various intelligent technologies, such as highly automated vehicles, AI and other futuristic systems at Toyota Tech Center (TTC), Ann Arbor, MI since 2005. Since 2011 he is in charge of future research department in Toyota Motor North America R & D. He has been serving as a panel expert for NSF, DOE, ARPA, Senior and Associate Editor of several scientific journals for over 20 years. He has been involved with several professional societies including IEEE Intelligent Transportation Systems (ITS) and IEEE Computational Intelligence (CI), as well as International Neural Network Society (INNS) as its former Board member, President and recently elected Fellow. He has authored lots of publications and patents. Having shown feasibility of autonomous driving and personal flying mobility, his department continues research of complex multi-disciplinary problems while exploring opportunities for the next big thing.
Constantino Carlos Reyes-Aldasoro
I am an interdisciplinary scientist with skills that span from microscopy to image analysis of biomedical data sets to advanced computer programming. I studied Mechanical and Electrical Engineering (BEng 5-years UNAM), Communications and Signal Processing (MSc Imperial College) and Computer Science (PhD Warwick). I also worked as a Postdoctoral Researcher and then Fellow in the Department of Surgical Oncology of The University of Sheffield where I gained hands-on experience with many imaging modalities such as Intravital, Fluorescence and Multispectral Microscopy, Computed Tomography and Magnetic Resonance Imaging. My research has focused mainly on biomedical areas related to Cancer, Microcirculation and Inflammation using a variety of techniques, from traditional to deep learning.
I have written many journal and conference papers, some with their corresponding code in GitHub and matlabcentral, and a book called “Biomedical Image Analysis Recipes in Matlab”, published by Wiley. I have organised several conferences (MIUA, BMVA, ECDP, Angionet), served in committees (BACR, MIUA, IET), reviewed for many journals and act as Editor (PLOS ONE, Oncology News) and Guest Editor (IET, Medical Image Analysis).