News

Presenting my Ph.D. dissertation work on outpatient scheduling optimization at the 2026 INFORMS Annual Meeting in San Francisco, November 1 to 4.

Presented my Ph.D. dissertation work, "Two-stage stochastic optimization of outpatient scheduling with overbooking and walk-in patients under no-shows and short-notice cancellations," at the MMIE Coffee Talks, a seminar series of the Department of Mechanical, Materials, and Industrial Engineering at the University of Cincinnati.

Awarded a Research Travel Grant by the Graduate Student Government at the University of Cincinnati to attend the 2026 INFORMS Annual Meeting.

Completed a summer internship with the Network Planning group at Atlas Air, where I built a two-stage stochastic optimization framework for scenario-based simulation of Atlas Air's network flow planning.

My Ph.D. dissertation work on outpatient scheduling optimization was presented at MOPTA 2026 at Lehigh University by T. Giovannelli.

Joined Atlas Air as a Data Scientist (Optimization) Intern in Network Planning for the summer, working on stochastic optimization modeling under operational uncertainty.

My Ph.D. dissertation work on outpatient scheduling optimization was presented at the IISE Annual Conference and Expo 2026 in Arlington, TX by T. Giovannelli.

Served as recitation instructor for ISE 3011, Deterministic Systems Models, an undergraduate course at the University of Cincinnati.

Concluded the research assistantship at the P&G Digital Accelerator. The production planning automation project translated SAP planning volumes into production-line recipe rates for Personal Care products, reducing annual manual effort by approximately 550 hours.

Conference paper published: An enhanced hybrid grey-neural network model for demand forecasting, IEOM Tokyo.

Conference paper published (presented at ASME MSEC 2024 in Knoxville, TN): Enhanced Data-Driven Virtual Metrology on Chemical Mechanical Planarization Process Using Dual Linear Kalman Filter.

Joined the P&G Digital Accelerator at the University of Cincinnati as a Graduate Research Assistant, building production planning pipelines on Azure Databricks.

Journal article published: Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability.

Started the Ph.D. in Industrial and Systems Engineering at the University of Cincinnati.

Completed the M.S. in Industrial Engineering at the University of Louisville.

Second place among Ph.D. students at the Graduate Student Research Competition, Department of Industrial Engineering, University of Louisville.

Presented work on institutional variability in post-heart-transplant survivability at the 2022 INFORMS Annual Meeting in Indianapolis.

Third place in the poster competition at Research!Louisville for the multi-task Cox model of post-heart-transplant survival.

Joined the Logistics and Distribution Institute at the University of Louisville as a Graduate Research Assistant.

Completed the M.S. in Industrial and Production Engineering at Bangladesh University of Engineering and Technology.

Promoted to Assistant Professor in the Department of Mechanical and Production Engineering at Ahsanullah University of Science and Technology.

Joined Ahsanullah University of Science and Technology as a Lecturer in the Industrial and Production Engineering discipline.

Graduated first among 65 students in the B.S. in Industrial and Production Engineering at Ahsanullah University of Science and Technology, with the Dean's Award.