Tankut Acarman

Also published under:T. Acarman

Affiliation

Department of Computer Engineering, Galatasaray University, Istanbul, Turkey

Topic

Autonomous Vehicles,Solution Process,Cost Function,Nonlinear Programming,Reference Trajectory,Social Media,Trajectory Optimization,Trajectory Planning,Arduino,Boundary Constraints,Bounding Box,Box Location,Convex Polygon,Current Sensor,Electric Vehicles,Feasible Solution,Global Positioning System,Iterative Framework,Kinematic Constraints,Nonlinear Programming Problem,Orientation Angle,Social Media Data,Stage 2,Topic Modeling,Trust Region,Vehicle Body,2D Segmentation,3D Bounding Box,3D Detection,3D LiDAR,3D Network,3D Object Detection,Adjacent Bodies,Adjacent Points,Artificial Neural Network,Asymmetric Approach,Asymmetric Fusion,Automated Vehicles,Automatic Analyzer,Automatic System,Autonomous Parking,Average Loss Rate,BERT Model,Bidirectional Encoder Representations From Transformers,Binary Cross-entropy Loss Function,Bird’s Eye,Box Constraints,Camera Network,Classification Methods,Cluttered Environments,

Biography

Tankut Acarman received the M.Sc. degree in control and computer engineering from Istanbul Technical University, Istanbul, Turkey, and the Ph.D. degree in electrical engineering from The Ohio State University, Columbus, OH, USA.
He was the President of the Computer Engineering Department (2015–), Galatasaray University Associate Professor of computer engineering (2010–), Galatasaray University Vice Director of the Institute of Sciences (2008–2014), Galatasaray University Assistant Professor of computer engineering (2004–2010), Galatasaray University Director of the Center of Computing Resources (2004–2005), Galatasaray University Assistant Professor (2003–2004), Ondokuz Mayıs University Research Assistant (2000–2002), The Ohio State University Turkish Higher Educational Council Fellow (1998–2000), and The Ohio State University Teaching Assistant (1994–1998). His research interests include intelligent transportation systems and intelligent vehicle technologies vehicle-to-vehicle and vehicle-to-infrastructure communication, driver assistance systems, active safety, perception, routing, navigation, data fusion, dynamic scheduling, collision avoidance systems, path planning, energy intelligent transportation systems, hybrid and electric vehicle technologies, simulator technologies, systems and control theory classical control, modern control, sliding mode control, robust nonlinear control, optimal control, estimation, robust nonlinear control of mechanical, electromechanical systems and vehicle dynamics, computer networks, robotics routing, congestion control, wireless sensor networks, sensor fusion, localization, and map matching.