Taimoor Khan

Research Assistant at Texas A&M University, Mixed-Initiative Design Laboratory (2022 – Present)

• Developing “Mitotic Domain Partitioning”, a domain-partitioning algorithm operating on scalar and vector fields to decompose domains and expose underlying structures such as level sets and flow patterns; extending the approach to higher-dimensional structure discovery.
• Developed a spatial discretization method to capture intrinsic skeletal models of the cerebral cortex for correlating human brain aging with its geometric and topological structure. This work was funded by Defense Advanced Research Projects Agency (DARPA).
• Contributed to the Distributed Autonomous Robotic Experiments and Simulations project sponsored by Army Research Laboratory (ARL), working on multi-level-of-detail-scene abstractions for autonomous off-road vehicles.
• Worked on Creepers3D, an interactive generative design tool that uses variational autoencoders to explore latent spaces of 3D shape curves and generate diverse decorative detailing concepts.

Research Assistant at Texas A&M University, BioRobotics Laboratory (2018 – 2019)

• Designed and analyzed a tendon-actuation mechanism for steering the distal tip of plasma robots for minimally invasive cancer treatment.
• Developed a marker-based computer-vision algorithm in C++ and OpenCV to estimate joint angles of robotic plasma medicine devices.

Machine Learning Scientist at Alba Technologies, LLC (2019 – 2022)

• Experimented with supervised (CNNs, RNNs & LSTMs) and unsupervised (K-means & autoencoders) learning algorithms along with sensor fusion algorithms such as the Kalman filters, Madgwick & Mahony filters to provide custom training feedback to golfers.
• Developed a mission critical proprietary club face angle measurement algorithm to provide real time customized feedback to a golfer in time for a successful product launch (work subjected to an NDA).

Robotics Intern at Makerarm, Inc. (2018 – 2018)

• Worked on computational motion-planning algorithms including Dijkstra’s, A*, Probabilistic Roadmap, and Artificial Potential Field methods in MATLAB.
• Improved tool-path precision for a 3D-printing SCARA robot by introducing a closed-loop control algorithm in Arduino IDE.
• Added pick-and-place capability using a C++/OpenCV vision system and simulated collaborative manipulation of two SCARA robots with collision maps and planning using virtual roadmaps.

Graduate Assistant Teaching – MEEN 210: Geometric Modeling at Texas A&M University, Department of Mechanical Engineering (2026 – 2026)

• Provide technical instruction on Solidworks to 150 undergraduate students across two sections, proctor class practice sessions and help with assignments during dedicated office hours.
• Guide and evaluate course projects involving CAD modeling and prototyping of linkage mechanisms used to animate 2D and 3D characters.

Graduate Assistant Teaching – MEEN 601: Advanced Product Design at Texas A&M University, Department of Mechanical Engineering (2025 – 2025)

• Graded and provided technical feedback on assignments and projects for a class of 64 graduate students.
• Contributed to lecture development with research on product development case studies, created new assignments and class activities to enhance student learning.

Doctor of Philosophy in Mechanical Engineering – Texas A&M University (2027)

Master of Science in Mechanical Engineering – Texas A&M University (2019)

Bachelor of Science in Mechanical Engineering – Ghulam Ishaq Khan Institute of Engineering Sciences & Technology (2016)