Mohammad Imran Chowdhury, Ph.D.

Assistant Professor of Instruction

Department of Computer Science

The University of Texas at San Antonio, USA

Email: mohammadimran.chowdhury@utsa.edu | Cell:(850) 345-6819


My Resume (PDF Version)

Dr. Mohammad Imran Chowdhury is an Assistant Professor of Instruction in the Department of Computer Science at The University of Texas at San Antonio, TX, USA . His research is in algorithms and robotics, focusing on analyzing and designing novel path planning algorithms for Autonomous Vehicles (AVs). He received his Ph.D. in 2022 and M.Sc. in 2018 from Florida State University in Tallahassee, FL, under the supervision of Dr. Daniel Schwartz and Dr. Robert van Engelen. He completed his B.Sc. in 2012 at the Chittagong University of Engineering & Technology (CUET) in Chittagong, Bangladesh.

Education


FSU

University: Florida State University (FSU)

Degree (completed): Ph.D. in Computer Science (CS)

Year: August 28, 2016 - July 30, 2022

Degree (completed): M.Sc. in Computer Science (CS)

Year: August 28, 2016 - August 4, 2018

Country: USA


CUET

University: Chittagong University of Engineering & Technology (CUET)

Degree (completed): B.Sc. (Engg.) in Computer Science and Engineering (CSE)

Merit Position: 1st

Year: March 16, 2008 - November 26, 2012

Country: Bangladesh


Services

UTSA

Position: Assistant Professor of Instruction

Department: Computer Science (CS)

University: The University of Texas at San Antonio (UTSA)

Year: August 22, 2022 - Present

Country: U.S.A.

Courses Taught: Analysis of Algorithms, Data Science, Data Mining, Operating Systems, and Fundamentals of Systems.



PUC

Position: Lecturer

Department: Computer Science & Enginnering (CSE)

University: Premier University, Chittagong (PUC)

Year: January 28, 2013 - July 30, 2016

Country: Bangladesh

Courses Taught: Algorithm Design & Analysis, Compiler Construction, Artificial Intelligence, Software Engineering, and Digital Electronics.





Testimonials


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Research

Current Research

My current research interests mainly focus on autonomous underwater vehicles, robotics, goal reasoning, mission planning, and path planning algorithms.
  1. Chowdhury, M.I., 2022. Path Planning Algorithms For Autonomous Vehicles. https://purl.lib.fsu.edu/diginole/2022_Summer_Chowdhury_fsu_0071E_17307 AVAILABLE HERE
  2. Chowdhury, M.I. and Schwartz, D.G., 2022, June. USV Obstacle Avoidance Using A Novel Local Path Planner and Novel Global Path Planner With r-PRM. In The 54th International Symposium on Robotics, ISR Europe 2022, Munich, Germany, June 20-21, 2022. IEEE. (CORE Rank A) . AVAILABLE HERE
  3. Chowdhury, M.I. and Schwartz, D.G., 2022, June. Recursion-Based Probabilistic RoadMap for Robot Path Planning. In The 54th International Symposium on Robotics, ISR Europe 2022, Munich, Germany, June 20-21, 2022. IEEE. (CORE Rank A) . AVAILABLE HERE
  4. Chowdhury, M.I. and Schwartz, D.G., 2020, October. UUV On-Board Path Replanning using PRM-A*. In Global Oceans 2020: Singapore–US Gulf Coast (pp. 1-8). IEEE. AVAILABLE HERE
  5. Chowdhury, M.I. and Schwartz, D.G., 2020, October. The PRM-A* Path Planning Algorithm For UUVs: An Application To Navy Mission Planning. In Global Oceans 2020: Singapore–US Gulf Coast (pp. 1-9). IEEE. AVAILABLE HERE





Past Research

Previously I have worked on RegEx Matching and Mobile Ad-hoc Network (MANET).
  1. Chowdhury, M.I., 2018. staDFA: An Efficient Subexpression Matching Method. http://purl.flvc.org/fsu/fd/2018_Su_Chowdhury_fsu_0071N_14793 AVAILABLE HERE
  2. Chowdhury, M.I., Asaduzzaman, A., and Kowsar, M.M.S., 2012. An Energy Efficient and Cooperative Congestion Control Protocol in MANET. International Journal of Computer Applications, 975, p.8887. AVAILABLE HERE

Contact


MY AIM IN LIFE

Dreams come true only if you dare!

I am a self-motivated individual who truly loves to work in a challenging field where novel ideas, algorithms, and effective plannings are crucial. Thus, a company would get the proper blueprint aligned with technological trends. I feel more enthusiastic working as a teaching faculty in academia.


Get In Touch





Contact Us

Phone: 850-345-6819

Email: mohammadimran.chowdhury@utsa.edu

Address: One UTSA Circle

San Antonio, TX 78249, USA.

Office Hours

Location: NPB 3.222

Days: Monday: 4:30pm-5:30pm; Tuesday: 2:30pm-3:30pm

Wednesday: 4:30pm-5:30pm; Thursday: 2:30pm-3:30pm

Friday, Saturday & Sunday: closed

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