Munzir Zafar
Education
- Ph.D. in Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta
- M.S. in Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta
- B.E. in Electronics, National University of Science & Technology, Karachi, Pakistan
Courses
- Controls: Optimal Control, Adaptive Control, Nonlinear Systems, Linear Systems and Control
- Robotics: Statistical Techniques in Robotics, Robotic Intelligence and Planning, Autonomous Control of Robotic Systems
- Mechanical: Dynamics of Mechanical Systems, Robotics, Computer-Aided Design
- Others: Convex Optimization, Computer Vision, Embedded Systems, Electrical Machinery Analysis, Advanced Computer Architecture
Teaching Experience
- Instructor at Georgia Institute of Technology, 2016 to 2017.
Biography
Munzir Zafar is a highly accomplished Ph.D. graduate in Electrical & Computer Engineering, with a specialization in Robotics. His extensive educational background, rich research experience, and significant contributions to the field of robotics make him a sought-after professional in the industry. Throughout his career, Munzir has showcased exceptional skills in controls, robotics, mechanical dynamics, and software development. His research focuses on the whole-body control of wheeled inverted pendulum humanoids, and he has made significant strides in dynamic modeling, novel control algorithms, and simulation-based verification. Munzir is also adept in C/C++, Linux/Unix, MATLAB, SolidWorks, and electrical circuits design.
Publications
- “Extending Riemmanian Motion Policies to Underactuated Systems” – ICRA 2020
- “Barrier Functions in Cascaded Controller: Safe Quadrotor Control” – ACC 2020
- “Hierarchical Optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids” – ICRA 2019
- “Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems” – ISER 2018
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