Ahmed Jawad Qureshi
Papers
6
Total Citations
250
H-Index
5
About
Ahmed Jawad Qureshi is a pioneering researcher at the intersection of additive manufacturing, robotics, and advanced materials. His work centers on large-scale metal additive manufacturing, particularly wire-arc directed energy deposition (DED), where he has made transformative contributions. His highly cited 2021 review (106 citations) provides a holistic analysis of large-scale metal AM, establishing a foundational framework for the field. Qureshi has developed innovative approaches to process optimization, including concurrent geometry- and material-based identification for robotic CMT-based wire-arc AM (49 citations), and sensor-fusion enabled inter-layer temperature control for nano-treated aluminum alloys. Beyond metals, he has created novel biobased materials, including a self-healing, 3D printable elastomer from canola oil (60 citations), demonstrating his versatility. His recent work on progressive learning for physics-informed neural motion planning (16 citations) bridges robotics and AI, addressing critical challenges in autonomous manufacturing. Qureshi’s research has profound implications for aerospace, automotive, and construction industries, enabling faster, more sustainable production of complex components. His achievements include advancing modular construction machine control through axiomatic design approaches. With over 250 total citations, Qureshi continues to shape the future of intelligent, large-scale additive manufacturing.
Research Focus
Key Achievements
Top Papers
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- 4Progressive Learning for Physics-informed Neural Motion Planning16 citations · 2023
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