Najmaddin Akhundov

Najmaddin Akhundov is an Assistant Professor in the Decision Sciences and Marketing Department at the Robert B. Willumstad School of Business, Adelphi University. His expertise lies in operations research, with a focus on integer programming, stochastic optimization, and simulation-based methods applied to scheduling, logistics, energy systems, and risk management.

Education:

• Ph.D., Industrial and Systems Engineering, University of Tennessee (2022)
• M.S., Systems Design Engineering, University of Waterloo (2015)
• B.S., Industrial Engineering, Baku Engineering University (2011)

Research Interests:

Dr. Akhundov’s research spans both methodological and applied domains. Methodologically, he advances integer programming, algorithmic development, simulation-based optimization, and stochastic programming. Application-wise, he tackles complex scheduling problems (staff, maintenance, power generators, production), reverse and last-mile logistics, evacuation planning, sustainable port management, and risk-informed maintenance planning.

Recent publications (2019-2024) reveal a consistent trajectory toward integrating advanced optimization techniques with real-world operational challenges. Studies range from exploiting symmetry in job sequencing to configuring last-mile distribution networks, pricing risk in energy markets, and optimizing surveillance strategies against invasive species. Collectively, these works highlight a commitment to bridging theory and practice in operations research.

Awards & Honors:

• INFORMS ENRE Best Publication Award in Natural Resources (2022)
• Harvey J. Greenberg Research Award – Honorable Mention, INFORMS Computing Society (2022)
• Graduate Fellowship Award, University of Tennessee (2018-2022)
• Best Graduate Presentation, Dana Knox Student Research Showcase (2018)
• Study Abroad Fellowship, Ministry of Education of Azerbaijan (2013-2015)
• Merit-Based Scholarships from Azercell Telecom and Baku Engineering University

Teaching & Mentoring:

At Adelphi, Dr. Akhundov teaches courses such as Management of Production/Operations and Statistical Methods, having previously taught Applied Operations Research, Optimization Techniques, and Mathematical Programming with MATLAB. While no specific advisees are listed in the provided text, his active research program and course offerings indicate ongoing engagement with both undergraduate and graduate students.

Laboratories & Teams:

While no dedicated laboratory is explicitly mentioned, his collaborative work with researchers from the University of Tennessee, University of Waterloo, and multiple international partners suggests participation in interdisciplinary research teams focused on optimization and logistics.