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Ahmed H Qureshi
Assistant Professor, Purdue University
Joined
September 2018
Names
Ahmed H Qureshi
(Preferred)
,
Ahmed Qureshi
,
Ahmed Hussain Qureshi
Emails
****@eng.ucsd.edu
(Confirmed)
,
****@ucsd.edu
(Confirmed)
,
****@ucsd.edu
(Confirmed)
,
****@purdue.edu
(Confirmed)
,
****@purdue.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Assistant Professor
Purdue University
(purdue.edu)
2021
–
Present
PhD
University of California, San Diego
(ucsd.edu)
2017
–
2021
MS
Osaka University
(osaka-u.ac.jp)
2015
–
2017
BS
National University of Sciences and Technology
(nust.edu.pk)
2010
–
2014
Advisors, Relations & Conflicts
PhD Advisor
Michael Yip
2017
–
2021
MS Advisor
Hiroshi Ishiguro
2015
–
2017
Expertise
PDE Solving for Robot Motion Learning
2021
–
Present
Physics-informed Neural Networks
2021
–
Present
Task Planning
2017
–
Present
Multi-agent Planning and Control
2017
–
Present
Task and Motion Planning
2017
–
Present
Robot Manipulation
2017
–
Present
Visual Robot Navigation
2017
–
Present
Vision-based Robot Planning and Control
2017
–
Present
Reinforcement Learning
2015
–
Present
Deep Learning
2015
–
Present
Robot Learning
2015
–
Present
Human-Robot Collaboration
2015
–
Present
Motion Planning
2013
–
Present
Publications
Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
Vittorio Giammarino
,
Ahmed H Qureshi
ICLR 2026 Poster
Readers:
Everyone
Epigraph-Based Multigrid PINNs for Two-Player General-Sum Differential Games
Lei Zhang
,
Xuefeng Wang
,
Ahmed H Qureshi
Submitted to ICLR 2026
Readers:
Everyone
Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
Xuefeng Wang
,
Lei Zhang
,
Henglin Pu
,
Husheng Li
,
Ahmed H Qureshi
ICLR 2026 Poster
Readers:
Everyone
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Xuefeng Wang
,
Lei Zhang
,
Henglin Pu
,
Ahmed H Qureshi
,
Husheng Li
ICLR 2026 Poster
Readers:
Everyone
Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions
Anastasios Manganaris
,
Vittorio Giammarino
,
Ahmed H Qureshi
,
Suresh Jagannathan
Accepted by TMLR
Readers:
Everyone
Automaton Constrained Q-Learning
Anastasios Manganaris
,
Vittorio Giammarino
,
Ahmed H Qureshi
NeurIPS 2025 poster
Readers:
Everyone
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
Vittorio Giammarino
,
Ruiqi Ni
,
Ahmed H Qureshi
NeurIPS 2025 poster
Readers:
Everyone
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
Ruiqi Ni
,
zherong pan
,
Ahmed H Qureshi
ICLR 2025 Poster
Readers:
Everyone
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Zikang Xiong
,
Daniel Lawson
,
Joe Eappen
,
Ahmed H Qureshi
,
Suresh Jagannathan
ICRA24
Readers:
Everyone
Model-free Neural Lyapunov Control for Safe Robot Navigation
Zikang Xiong
,
Joe Eappen
,
Ahmed H Qureshi
,
Suresh Jagannathan
IROS 22
Readers:
Everyone
View all 57 publications
Co-Authors
Abdul Ahad Ashfaq Sheikh
Abdul Ghafoor Abbasi
Abhinav K Keshari
Anastasios Manganaris
Anthony Simeonov
Arsalan Mousavian
Asfiya Baig
Austin Choe
Badar Ali
Byron Boots
Chris Paxton
Daniel Lawson
Dieter Fox
Faizan Ahmed
Fei Liu
Guliafshan Tariq
Hanwen Ren
Henglin Pu
Hiroshi Ishiguro
Husheng Li
Jacob J. Johnson
Jacob John Johnson
Jiangeng Dong
Joe Eappen
Khawaja Fahad Iqbal
View all 55 co-authors