Amanat Ur Rahman

• Expected Spring 2027

  Ph.D. in Mechanical Engineering (Industrial and Systems Engineering track)

  University of Cincinnati · Cincinnati, OH, USA

  • Dissertation Stochastic optimization and decomposition algorithms for large-scale scheduling systems under uncertainty
  • Advisor Dr. Tommaso Giovannelli
  • Coursework Optimization; Stochastic Operations Research; Stochastic Optimization Algorithms and Modeling; Industrial Big Data and AI; Lean Six Sigma; Quality Control; Design of Experiments
• August 2023

  M.S. in Industrial Engineering

  University of Louisville · Louisville, KY, USA

  • Research Impact of institutional variability and correlated multi-level factors on post-heart-transplant survivability
  • Coursework Foundations of Optimization I; Algorithms for Optimization; Design of Computer Algorithms; Simulation; Introduction to Machine Learning; Predictive Analytics II; Mathematical Statistics; Engineering Statistics II
• September 2020

  M.S. in Industrial and Production Engineering

  Bangladesh University of Engineering and Technology · Dhaka, Bangladesh

  • Research Supply chain performance prediction using grey-based neural network
  • Coursework Probabilistic Methods in Engineering Design; Engineering Data Analysis; Production System Analysis; Advanced Manufacturing Process; Logistics Management
• December 2014

  B.S. in Industrial and Production Engineering

  Ahsanullah University of Science and Technology · Dhaka, Bangladesh

  • Research Analysis and suggestions for the supply chain performance of GlaxoSmithKline Bangladesh Limited
  • Ranked first among 65 graduating students; Dean's Award

• Methodology Two-stage stochastic programming, Multi-objective and set-valued optimization, Mixed-integer linear programming, Integer L-shaped decomposition methodologies, Optimization under uncertainty, Monte Carlo simulation
• Applications Healthcare operations management, Airline network planning and transportation systems, Semiconductor manufacturing process control, Supply chain network design, Decision analytics

• Aug 2023 to Present

  Graduate Research Assistant

  Department of Mechanical, Materials, and Industrial Engineering, University of Cincinnati · Cincinnati, OH, USA

  • Developing two-stage stochastic programming models for outpatient appointment scheduling with overbooking, open access, and walk-in patients, solved with an integer L-shaped decomposition algorithm implemented in Gurobi and Python.
  • Extending the formulation to a multi-objective two-stage stochastic model within a stochastic set-optimization framework to characterize the Pareto frontier across competing operational objectives.
  • Developed a dynamic virtual metrology model based on a dual linear Kalman filter for material removal rate prediction in chemical mechanical planarization, attaining the lowest MSE (7.98) against MLR, EWMA, and Bayesian ARX benchmarks.
• Aug 2021 to Jul 2023

  Graduate Research Assistant

  Logistics and Distribution Institute (LoDI), University of Louisville · Louisville, KY, USA

  • Developed a multi-task Cox proportional hazards model to quantify transplantation center-level factors affecting one-year post-heart-transplant survivability, treating each center as a separate learning task over a shared representation.
  • Integrated UNOS donor and recipient records with county- and tract-level area deprivation data within a 200-mile radius of each center; benchmarked against CoxPH and non-linear CoxPH models by concordance index.
  • Authored five online, self-paced instructional modules (IT Basics, Network Foundations, Network Security, Risk Analysis, and Capstone) for a federally funded cybersecurity workforce training program for the logistics industry.

• Jun 2026 to Aug 2026

  Data Scientist Intern (Optimization), Network Planning

  Atlas Air, Inc. · Erlanger, KY, USA

  • Built a stochastic evaluation framework with MILP recourse (Pyomo, HiGHS, Gurobi) for cargo network planning under operational uncertainty, assessing fleet flow, capacity utilization, and routing.
  • Quantified network disruption cost through scenario-based Monte Carlo evaluation of the recourse value function.
  • Calibrated stochastic parameters from operational data on Azure Databricks and represented the airline route network on Amazon Neptune for connectivity and reachability queries feeding the optimization model.
• Jun 2024 to May 2025

  Graduate Research Assistant

  Procter & Gamble Digital Accelerator, University of Cincinnati · Cincinnati, OH, USA

  • Built scalable Azure Databricks pipelines (Python, SQL) translating SAP planning volumes into production-line recipe rates for Personal Care products, reducing annual manual effort by approximately 550 hours (50%).
  • Automated data integration from Databricks to Tableau through KNIME and deployed dashboards tracking key performance indicators.

Prepared to teach Deterministic and probabilistic operations research, Optimization and mathematical programming, Stochastic models, Discrete-event simulation, Engineering economy, Production planning and control, Supply chain management, Engineering statistics and design of experiments.

• 2026

  Recitation Instructor

  University of Cincinnati · Cincinnati, OH, USA

  • ISE 3011 Deterministic Systems Models
• 2022

  Teaching Assistant and Recitation Instructor

  University of Louisville · Louisville, KY, USA

  • IE 370 Engineering Economic Analysis
• 2015 to 2021

  Assistant Professor (December 2018 to July 2021); Lecturer (June 2015 to November 2018)

  Ahsanullah University of Science and Technology · Dhaka, Bangladesh

  Full teaching load each semester, with theory sections of approximately 50 students. Taught courses fully online during the COVID-19 closure (2020 to 2021).

  • IPE 3107 Operations Research
  • IPE 3205 Production Planning and Control
  • IPE 4105 Supply Chain Management
  • IPE 4103 Operations and Project Management
  • IPE 4206 Industrial Simulation (laboratory)
  • MATH 2207 Numerical Analysis and Statistics
  • HUM 2107 Engineering Economy
  • IPE 3104 Product Design and Development (laboratory)
  • IPE 2102 Manufacturing Processes (laboratory)
  • IPE 3210 Metal Forming and Sheet Metal Work (laboratory)
  • IPE 1110 / 1210 Machine Shop Practice I and II (laboratory)
  • ME 1103 Introduction to Mechanical and Industrial Engineering
  • ME 403 Production Planning and Control, for Textile Technology students
  • HUM 303 Industrial Management, for Textile Technology students
  • HUM 3209 Industrial Management, for Electrical and Electronic Engineering students
• 2015 to 2021

  Laboratory manuals

  Authored the laboratory manuals for IPE 4206 (Industrial Simulation), IPE 2102 (Manufacturing Processes), and IPE 1210 and IPE 1110 (Machine Shop Practice II and I). All four were adopted as the standing course materials for those laboratories and remained in use across subsequent cohorts.

• 2015 to 2021

  Program accreditation

  Contributed to curriculum revision for the Industrial and Production Engineering program through outcome assessment and course mapping, in support of program accreditation.

• 2015 to 2021

  Undergraduate thesis supervisor

  Supervised five final-year project and thesis groups from problem formulation through data collection, analysis, and defense; advised on research methodology, technical writing, and preparation of results.

• 2026

  Research Travel Grant

  Graduate Student Government, University of Cincinnati

  Awarded for the 2026 INFORMS Annual Meeting, San Francisco.

• 2022

  Third Place, Poster Competition

  Research!Louisville, University of Louisville

  For work on institutional variability in post-heart-transplant survivability.

• 2022

  Runner-up, Graduate Student Research Competition

  Department of Industrial Engineering, University of Louisville

  Second place among Ph.D. students in the Fall 2022 competition.

• 2014

  Dean's Award

  Ahsanullah University of Science and Technology

  Awarded for academic standing across the B.S. program.

• 2014

  First Position in Graduating Class

  Ahsanullah University of Science and Technology

  Ranked first among 65 graduating students, B.S. in Industrial and Production Engineering.

• Methods
  • Two-stage stochastic programming
  • Decomposition algorithms
  • Mixed-integer linear programming
  • Multi-objective and set-valued optimization
  • Monte Carlo scenario generation
  • Survival analysis
  • State-space filtering
  • Design of experiments
• Optimization
  • Gurobi
  • Pyomo
  • HiGHS
  • Simio
• Programming
  • Python
  • PySpark
  • SQL
  • Git
  • LaTeX
• Platforms
  • Azure Databricks
  • AWS
  • Amazon Neptune
  • KNIME
  • Tableau
  • SAP
  • ArcGIS
  • Excel

• 2023 to present

  Journal reviewer

  • Operations Research Forum (Springer)
  • IEEE Transactions on Industrial Informatics
  • Journal of Process Control
• 2015 to 2021

  Program accreditation

  Contributor to program accreditation activities for the Industrial and Production Engineering discipline at Ahsanullah University of Science and Technology, through outcome assessment and course mapping.

• Member, Institute for Operations Research and the Management Sciences (INFORMS) 2022 to 2023, 2026 to 2027

Publications and talks