ACCESS Laboratory Members

Abdullah Al Redwan Newaz is a Postdoctoral Research Associate at the Department of Electrical and Computer Engineering, North Carolina A&T State University. Before that, he was a Postdoctoral Researcher at Rice University, Houston, TX, USA, and Nagoya University, Nagoya, Japan, in 2018-2020, 2017-2018, respectively. He earned Ph.D. and M.S. degrees in Information Science from Japan Advanced Institute of Science and Technology, Ishikawa, Japan, in 2017 and 2014, respectively. He received a B.Sc. degree in Mechanical Engineering from Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh, in 2011. His research interests include autonomous systems, applied machine learning, motion planning under uncertainty, optimal control, policy synthesis, model checking, and related domains. He is an IEEE professional member and serves as reviewer for top-tier conferences and journals.

• Ph.D., Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan, 2017 

• M.Sc., Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan, 2014

• B.Sc., Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh, 2011

• Islam, M. M., Newaz, A. A. R., Song, L., Lartey, B., Lin, S. C., Fan, W., ... & Karimoddini, A. (2023). Connected autonomous vehicles: State of practice. Applied Stochastic Models in Business and Industry. 

• Tadewos, Tadewos G., Abdullah Al Redwan Newaz, and Ali Karimoddini. "Specification-guided behavior tree synthesis and execution for coordination of autonomous systems." Expert Systems with Applications 201 (2022): 117022. 

• Shamgah, Laya, Tadewos G. Tadewos, Abdullah Al Redwan Newaz, Ali Karimoddini, and Albert C. Esterline. "Reactive Symbolic Planning and Control in Dynamic Adversarial Environments." IEEE Transactions on Automatic Control (2022). 

• Alam, Tauhidul, Abdullah Al Redwan Newaz, Leonardo Bobadilla, Wesam H. Alsabban, Ryan N. Smith, and Ali Karimoddini. "Towards energy-aware feedback planning for long-range autonomous underwater vehicles." Frontiers in Robotics and AI 8(2021): 2296-9144.

• Islam, Muhammad Mobaidul, Abdullah Al Redwan Newaz, Renran Tian, Abdollah Homaifar, and Ali Karimoddini. "A computationally effective pedestrian detection using constrained fusion with body parts for autonomous driving." In 2021 Fifth IEEE International Conference on Robotic Computing (IRC), pp. 106-110. IEEE, 2021. 

• Islam, Muhammad Mobaidul, Abdullah Al Redwan Newaz, and Ali Karimoddini. "A pedestrian detection and tracking framework for autonomous cars: Efficient fusion of camera and LiDAR data." In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1287-1292. IEEE, 2021. 

• Islam, Muhammad Mobaidul, Abdullah Al Redwan Newaz, Balakrishna Gokaraju, and Ali Karimoddini. "Pedestrian detection for autonomous cars: Occlusion handling by classifying body parts." In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1433-1438. IEEE, 2020.