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Ahmed Hussain Qureshi

I received my B. Eng. degree in Electrical Engineering from National University of Sciences and Technology (NUST), Pakistan in 2014. Currently, I am a master student at Osaka University, Japan working with Prof. Hiroshi Ishiguro. My research interests include probabilistic machine learning, deep learning, reinforcement learning, and planning algorithms. 

Email: qureshi.ahmed[at]irl.sys.es.osaka-u.ac.jp


Awards:

1- Japanese Government MEXT Scholarship, 2015-2017 
2- Young Researcher Award by RISE-NUST, 2014
3- NUST Academic Distinction Scholarship, 2010-2014

Technical Service:

Journal Reviewer:
1- RSJ Advanced Robotics 
2- Cambridge Robotica
3- SAGE Journal of Mechanical Engineering Science 

Projects:

    

Publications

International Journal Papers
 
[1]  Ahmed Hussain Qureshi and Yasar Ayaz, "Potential Functions Based Sampling Heuristic for Optimal Motion Planning", Autonomous Robots, DOI 10.1007/s10514-015-9518-0, 2015. (Imapct Factor: 2.066) [URL]
 
[2] Ahmed Hussain Qureshi and Yasar Ayaz, "Intelligent Bidirectional Rapidly-Exploring Random Trees for Optimal Motion Planning in Complex Cluttered Environments",International Journal of Robotics and Autonomous Systems, Elsevier, Vol. 68, pp. 1-11, 2015. (Impact Factor: 1.256 ) [URL]
 
[3] Ahmed Hussain Qureshi, Saba Mumtaz, Yasar Ayaz, Osman Hasan, Mannan Saeed Muhammad and Muhammad Tariq Mahmood "Triangular Geometrised Sampling Heuristic For RRT* Motion Planner", International Journal of Advanced Robotic Systems (IJARS), InTech Publishers, 12:10, 2015, (Top Most Popular Paper of IJARS for 3 consecutive weeks in February - March 2015). (Impact Factor: 0.526) [URL]

[4] Shehryar Ali Khan, Mohsin Jamil Yasar Ayaz, Syed Omer Gillani, Muhammad Naveed, Ahmed Hussain Qureshi, Khawaja Fahad Iqbal, "Collaborative Optimal Reciprocal Collision Avoidance for Mobile Robots Planner", International Journal of Control and Automation, Vol. 8(8), pp. 203-212
 
International Conference Papers
 
[5]  Ahmed Hussain Qureshi, Yutaka Nakamura , Yuichiro Yoshikawa and Hiroshi Ishiguro, "Robot gains social intelligence through Multimodal Deep Reinforcement Learning", Proceedings of IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 745-751  Cancun, Mexico 2016. 
 
[6] Ahmed Hussain Qureshi, Saba Mumtaz, Wajeeha Khan, Adul Ahad, Khawaja Fahad, Yasar Ayaz, and Osman Hasan, "Augmenting RRT*-Planner with Local Trees for Motion Planning in Complex Dynamic Environments", Proceedings of IEEE/RAS 19th International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 657-662, Miedzyzdroje, Poland 2014. [URL]
 
[7] Ahmed Hussain Qureshi, Saba Mumtaz, Khawaja Fahad, Yasar Ayaz, Mannan Saeed, Osman Hasan, Whoi Yul Kim, Moonsoo Ra, "Triangular Geometry based Optimal Motion Planning using RRT*", Proceedings of 13th International Workshop on Advance Motion Control, pp. 380-386, Yokohama, Japan, 2014. [URL]
 
[8] Ahmed Hussain Qureshi, Saba Mumtaz, Khawaja Fahad, Badar Ali, Yasar Ayaz, Faizan Ahmed, Mannan Saeed, Osman Hasan, Whoi Yul Kim, Moonsoo Ra, "Adaptive Potential guided directional-RRT*"Proceedings of International Conference on Robotics and Biomimetics (ROBIO), pp. 1887-1892, Shenzhen, China, 2013. [URL]
 
[9] Ahmed Hussain Qureshi, Khawaja Fahad Iqbal, Syeda Madiha Qamar, Fahad Islam, Yasar Ayaz, Naveed Muhammad, "Potential guided directional-RRT* for accelerated motion planning in cluttered environments", Proceedings of International Conference on Mechatronics and Automation (ICMA), pp. 519-524, Takamatsu, Japan, 2013. [URL]
 
[10] Badar Ali, Ahmed Hussain Qureshi, Khawaja Fahad Iqbal, Yasar Ayaz, Syed Omer Gilani, Mohsin Jamil, Naveed Muhammad, Faizan Ahmed, Mannan Saeed Muhammad, Whoi-Yul Kim, Moonsoo Ra, "Human tracking by a mobile robot using 3D features", Proceedings of International Conference on Robotics and Biomimetics (ROBIO), pp. 2464-2469, Shenzhen, China, 2013. [URL]
 
[11] Syeda Madiha Qamar, Fahad Iqbal Khawaja, Ahmed Hussain Qureshi, Naveed Muhammad, Yasar Ayaz, Abdul Ghafoor Abbasi, "A solution to Perceptual Aliasing through Probabilistic Fuzzy Logic and SIFT"Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 1393-1398, Wollongong, Australia, 2013. [URL]