Mohammad Imran Chowdhury, Ph.D.

Associate Professor of Instruction

Department of Computer Science

College of AI, Cyber and Computing

The University of Texas at San Antonio, USA

Office: SPII 350.03 | Cell: (210) 663-7296

Email: mohammadimran.chowdhury@utsa.edu


Curriculum Vitae (PDF Version)

Dr. Mohammad Imran Chowdhury is a dedicated Associate Professor of Instruction in Computer Science with a strong background in teaching, academic mentorship, and advanced research. Specialized in algorithm design & analysis, autonomous vehicle path planning, and robotics. Proven track record of delivering high-quality education across graduate and undergraduate levels, including design & analysis of algorithms, machine learning, data mining, and artificial intelligence. Recognized with faculty appraisal merit awards for excellence in instructional delivery and academic service.

Education

FSU

University: Florida State University (FSU)

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

Year: August 29, 2016 - July 30, 2022

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

Year: August 29, 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

Current Position: Associate Professor of Instruction

Department: Computer Science (CS)

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

Year: September 1, 2026 - Present

Country: U.S.A.

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


FSU

Position: Graduate Teaching Assistant (GTA)

Department: Computer Science (CS)

University: Florida State University (FSU)

Year: August 25, 2016 - August 02, 2022

Country: U.S.A.

Courses Taught: Web Programming and Design, Object-Oriented Programming in C++, Java Programming for Non-Majors, and Introduction to UNIX.



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: 210-663-7296

Email: mohammadimran.chowdhury@utsa.edu

Address: San Pedro II

622 Dolorosa Street, 3rd Floor

San Antonio, TX 78207, USA.

Office Hours

Location: SPII 350.03

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

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

Friday, Saturday & Sunday: closed

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