Mohammad Habibi

Mohammad Habibi serves as an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at Tennessee State University's College of Engineering. His office is located in IND 103, with contact available via phone (615-963-5248) or email (mhabibi@tnstate.edu).

Dr. Habibi's academic credentials include:

• Ph.D. in CISE (Robotics & Computer Integrated Manufacturing), Tennessee State University, 2014
• M.S. in CISE (Systems Engineering), Tennessee State University, 2003
• B.S. in Electrical Engineering, Z. H. College of Engineering and Technology, Aligarh Muslim University, India, 1989

His research program centers on three interconnected domains: Cyber-Physical Systems implementation in infrastructure, intelligent manufacturing processes integrating mechatronics, and advanced materials engineering to combat thermal degradation. This work manifests in practical applications spanning surveillance analytics, robotics, and sustainable manufacturing systems, with publications demonstrating consistent interdisciplinary contributions across engineering and computer science.

Publication trends reveal an evolution from foundational visual analytics research (2011-2014) focused on surveillance data exploitation to recent theoretical advances in stochastic control (2019) and educational innovation (2018). His 11 documented publications span power systems engineering, robotics, and data science, reflecting a career-long commitment to solving complex engineering problems through computational methods.

No scientific awards are documented in the provided materials.

Dr. Habibi actively mentors students through capstone projects involving AI-driven manufacturing monitoring, digital twin development, and UAV applications. His teaching portfolio covers core mechanical engineering subjects including mechatronics, manufacturing processes, and materials engineering, with courses designed to bridge theoretical concepts and industrial applications using platforms like LEGO-EV3 and Proteus simulation.

Though no formal lab structure is documented, his research manifests through student-led projects in cyber-physical systems and intelligent manufacturing, utilizing robotics platforms, microcontroller systems, and simulation environments to address real-world challenges in infrastructure monitoring and industrial automation.