I am a Ph.D. candidate in the Department of Industrial and Systems Engineering at Mississippi State University. I expect to complete my PhD in Industrial Engineering in the Summer of 2025. My research is focused on the intersection of machine learning (ML) and optimization, with the goal of developing robust, adaptable, and efficient ML methodologies that solve real-world challenges. Specifically, my work improves the accuracy and resilience of predictive models and applies them to diverse fields, including healthcare, agriculture, business, and manufacturing industries. I have successfully collaborated with interdisciplinary teams on funded projects supported by the USDA, DHS, NIH, and Cotton Incorporated. 

I am also one of the IISE Future Faculty Fellows 2023-24.

June 2025

• I successfully defended my Ph.D. dissertation! I’m deeply grateful to my advisor, Dr. Haifeng Wang, my co-advisor, Dr. Mohammad Marufuzzaman, my committee members Dr. Jason Street and Dr. Junfeng Ma, colleagues, and family, who stood by me with encouragement, support, and belief.

• Excited to share that I was a Runner-Up in the 3-Minute Thesis (3MT) competition at the PhD Colloquium, sponsored by the Council of Industrial Engineering Academic Department Heads (CIEADH)

• Exciting News! Our team has been awarded 3rd place in the 2025 IISE/DAIS Data Analytics Competition. Congratulations to the team members: Abdur Rahman, Amirhossein Eskorouchi, and Manideep Kolla on this well-deserved recognition!

May 2025

• Our article, "Automatic head and neck tumor segmentation through deep learning and Bayesian optimization on three-dimensional medical images," was accepted in Computers and Biology in Medicine. [Article Link] 

April 2025

• Our article, "Federated Learning for Heterogeneous Multi-Site Crop Disease Diagnosis," was accepted in the Mathematics Journal. [Article Link] 

• I will be joining the Louisiana Tech University College of Engineering and Science in the Fall of 2025. I am actively looking for motivated PhD students to join my research group. Check out the Industrial AI Lab page. Interested students are encouraged to fill out this form for consideration: Google Form. 

March 2025 

• Excited to be awarded the Bagley College of Engineering Student Hall of Fame 2025 at Mississippi State University. [Check the news] 

• Got the award of Outstanding Graduate Student Researcher (On-campus) from the Department of Industrial and Systems Engineering at Mississippi State University.

• Our recent work, "Interpretable Wood Chip Moisture Content Prediction Through Texture Analysis," was accepted in Expert Systems With Applications. [Article Link] 

• Ph.D. in Industrial and Systems Engineering, Mississippi State University, USA (Exp. Graduation: August 2025).

• M.S. in Industrial and Systems Engineering (Data Analytics), Mississippi State University, USA (August 2024).

• B.S. in Industrial and Production Engineering, BUET, Bangladesh (October 2018)

Graduate Research Assistant, Mississippi State University (August 2021 - )

• • Project: Video-based human trajectory mapping in an active shooter scenario [Project News]

Sponsor: Department of Homeland Security (January 2024 - )

• • Project: Image-based Assessment of Wood Chip Qualities  [Project News] [Paper 1] [Paper 2] [Paper 3] [Paper 4]

Sponsor: USDA-NIFA (August 2022 - ) 

• • Project: Collaborative Machine Learning for Plant Disease Diagnosis

Sponsor: MSU-MAFES Special Research Initiative (January 2023 - December 2023)

• • Project: Image-Guided Automated Extracapsular Extension Detection  [Paper 1] [Paper 2]

Sponsor: National Institute of Health (August 2022 - July 2023)

• • Project: Machine vision-based weed detection in cotton fields [Paper 1] [Paper 2] [Paper 3] 

Sponsor: Cotton Incorporated (August 2021 - July 2022)

• • Topic: Multivariate time series anomaly detection 

Sponsor: Systems Intelligence and Optimization Lab (January 2022 - July 2022)

• • Topic: Novel activation function development [Paper] [Project News]

Sponsor: Systems Intelligence and Optimization Lab (August 2021 - December 2021)