People

Principle Investigator

Professor Xingyong Song

Dr. Xingyong Song is currently an Associate Professor at Texas A&M University, College Station.  Prior to appointment at Texas A&M in 2015, he had four years of full-time industrial working experience, with two years at General Motors Research Center in Warren, Michigan, and two years at Halliburton Energy Service Company Innovation Center, Houston, Texas. His research work at General Motors focused on advanced controls research with applications on novel automotive powertrain concepts.  His patented invention at GM later turned into a commercial product, which is actively being used in some of the 2014 and 2015 Chevrolet passenger vehicle models. When at Halliburton, he actively conducted research on novel controls solutions to address advanced automation needs in the oil/gas industry, including drilling automation, well logging, and drilling fluid management and control. He successfully delivered a novel control solution for the new Halliburton sonic logging tool, which was commercialized in 2015 and won him the Halliburton Innovation Award and MVP Award. He earned his PhD in Mechanical Engineering from the University of Minnesota, Twin Cities. His research work is published in some of the prestigious Controls and Mechatronics journals such as “Automatica”, “ASME Transactions on Journal of Dynamic Systems, Measurement and Control”, and “IEEE/ASME Transactions on Mechatronics”.


Postdoctoral Research Associate

Dr. Tohid Sardarmehni

Education:
Shahid Bahonar University of Kerman, Kerman, Iran  —  B.S in Mechanical Engineering (2009)
University of Tabriz, Tabriz, Iran — M.S in Mechanical Engineering (2012)
Southern Methodist University, Dallas, TX — Ph.D. in Mechanical Engineering (2018)

He is currently a Postdoctoral Research Fellow with Texas A&M University. His current research interests include optimal control, approximate dynamic programming, and intelligent control methods.

 

 

 


Ph.D Students

Chong Ke

Education:
Harbin Institute of Technology, Harbin, China —  B.S in Mechanical Engineering  (Aug 2009 – Jul 2013)
National Taiwan University, Taipei, Taiwan — Exchange Program in Mechanical Engineering   (Feb 2011 – Jul 2011)
Texas A&M University, College Station, TX  — Ph.D. in Mechanical Engineering (Aug 2013 – Dec 2019)

Research Interests: Control and Optimization of the Down-Hole Drilling System, Fluid Power System Control, Dynamics & Vibrations, Reinforcement Learning.

 

 

 

 


Dongzuo Tian

Education:
University of Science and Technology of China, Hefei, China —  B.S. in Automation (2014)
Northeastern University, Boston, MA — M.S in Mechanical Engineering (2016)

He is currently a Ph.D. candidate in the Department of Mechanical Engineering, Texas A&M University, College Station, TX. His research interests are in time-delay systems, iterative learning control, and nonlinear dynamics and control with applications in the oil/gas drilling industry.

 

 

 


Mohammadali Kargar

Education:
Shiraz University, Iran —  B.S. in Mechanical engineering (2012-2016). Graduated Summa cum Laude
Texas A&M University, College Station, TX  — Ph.D. in Mechanical Engineering (2017-Present)

He is currently a Ph.D. candidate in the Department of Mechanical Engineering, Texas A&M University, College Station, TX. He is currently working on Optimal Power Management of Autonomous Hybrid Electric Vehicles. His research interests include Approximate Dynamic Programming Optimal Control, Nonlinear Control, Linear Algebra, and Autonomous Vehicles. He loves Badminton, Hiking, Poem Reading, and Horseback Riding.

 

 


Zihang Zhang

Education:
Hong Kong University of Science and Technology — Bachelor of Engineering in Mechanical Engineering(2013-2017)
University of Pennsylvania — M.S in Mechanical Engineering, Applied Mechanics, and Computer and Information Science(2017-2019)
Texas A&M University — Ph.D. in Mechanical Engineering(2019-present)

 

 

 


Masters Students

Sai Sudeep Reddy

Education:
Indian Institute of Technology – Hyderabad — B.S. in Mechanical Engineering
Texas A&M University — M.S. in Mechanical Engineering

He is currently working on Optimal Control of Autonomous Construction Machinery. His research interests include Optimal Control, Modeling systems, Self-Driving Cars, Deep Learning, Computer Vision. Post-Bachelors, he has worked in Coal India Limited – a Mining company as an Assistant Manager for two years. He is an ardent soccer fan and loves playing Soccer, Cricket, Badminton.

 

 


Undergraduate Students

Abhishek Paramasivan

Education:
Texas A&M University — B.S. in Mechanical Engineering(2016-2020)

Interests in machine vision-based control systems for industrial applications and autonomous vehicles.