Himadri is really making the most of his time at Oklahoma University (OU), where he is actively involved in several student organizations, such as INFORMS, IISE, and APICS Student Chapters. His enthusiasm for teaching and commitment to scientific projects truly shine through in everything he does. Before joining OU, Himadri made a positive impact as a lecturer at the Military Institute of Science and Technology (MIST) in Dhaka, Bangladesh, where he built strong connections with both students and colleagues in the Department of Industrial and Production Engineering.

Himadri’s impressive leadership and skills have earned him plenty of recognition. As the faculty adviser for the MIST Student Chapter of the IEOM Society, he made valuable contributions to various groups during his time at Khulna University of Engineering and Technology. He took on important roles like General Secretary for the IEM Robotics and CAD Club and Publication Secretary for the IEM Association.

With a solid background in research, teaching, and leadership, Himadri Sen Gupta is on track to achieve great things and make meaningful contributions to the field of Industrial and Systems Engineering. His future looks incredibly promising!

Recent News/Updates

04/19/2025: Our paper, titled "Two-stage machine learning framework for predicting building-level direct economic losses due to flood hazard" received nomination for Best Track Paper Award in Sustainable Development track at the IISE Annual Conference and Expo 2025. 

04/09/2025: Accepted new research article titled "Machine learning-based prediction of optimal building-level flood mitigation strategies in at-risk communities" in ASCE - Natural Hazards Review journal. 

02/20/2025: Published new research article titled "Multi‐hazard probabilistic risk assessment and equitable multi‐objective optimization of building retrofit strategies in hurricane‐vulnerable communities" in Computer‐Aided Civil and Infrastructure Engineering journal.  [Link] 

12/15/2024: Attended "Optimization Workshop: Theory, Algorithms, and Applications", at the Universidad de los Andes in Bogota, Colombia, with a complete NetSys Research Lab team.  [Link] 

11/24/2024: Awarded International Student Award from the Lions Clubs International of Norman, Oklahoma  for contributions to the University of Oklahoma campus and the local community. [Link] 

10/24/2024: Organized two research session titled "Towards Sustainable Resilient Communities" and two panel session on decision making in community resilience at the 2024 INFORMS Annual Meeting in Seattle, WA. 

10/15/2024: Accepted into the Decision Sciences Institute (DSI) Doctoral Consortium at the 2024 DSI Annual Conference in Phoenix, Arizona. 

09/24/2024: Presented poster "AI-ML for Optimal Building Mitigation in Flood-Prone Communities" at the Gallogly College of Engineering Graduate Student Poster Fair. 

08/11/2024: Attended Business Analytics Future BAProf 2024 workshop organized by the  University of Iowa Tippie College of Business at Iowa City, Iowa. [Link] 

06/19/2024: Presented poster titled "Fairness-Driven Multi-Objective Optimization for Evacuation Planning in Natural Disasters" at the ASCE ICTD Conference at Atlanta, GA. [Link] 

06/14/2024: Published conference paper titled "Fairness-Driven Multi-Objective Optimization for Evacuation Planning in Natural Disasters" at the ASCE ICTD Conference, Atlanta, GA. [Link] 

05/17/2024: Presented research at the National Science Foundation (NSF) NHERI GSC Research Subcommittee Representatives (RSR) Session. [Link] 

05/17/2024: Presented my work, titled "Two-stage stochastic optimization for multi-hazard mitigation and evacuation planning focuses on enhancing community resilience" at the IISE Annual Conference and Expo 2024, Montreal, Canada. [Link] 

04/05/2024: Outstanding Teaching Assistant Award from the School of Industrial and Systems Engineering, University of Oklahoma for academic year of 2023 - 2024. [Link] 

04/05/2024: Most Helpful ISE Graduate Student Award from the School of Industrial and Systems Engineering, University of Oklahoma for academic year of 2023 - 2024. [Link] 

Special Announcements

12/13/2024: Optimization and Modeling Learning Series - Spring 2025 

The lack of a strong foundation in optimization can pose challenges for students, especially those from Bangladesh, like myself, when delving into advanced research. To address this gap, I'm planning to launch a bi-weekly online lecture series on introductory optimization and modeling. Here's the plan:

- 1-hour bi-weekly lectures led by experts in the field.

- Aimed at building a solid foundation for students worldwide.

- While the focus is on students from Bangladesh, everyone is welcome to participate.

If you're interested, the series is set to begin in the Spring 2025 semester.  How to get involved:

- Students can register as mentees to learn and grow.

- Experts (graduate students, post-docs, professors) can sign up as mentors to teach sessions and share their knowledge.

Mentee Registration: https://lnkd.in/gM8K8HBT 

Mentor Registration: https://lnkd.in/g4XutkA7  

I'm driven to create this opportunity from personal experience. Having faced similar challenges, I understand the importance of accessible resources in learning. Let's make learning about optimization engaging and inclusive. Join me in this journey starting in Spring 2025. Feel free to share who may benefit from participating as mentors or mentees. Let's collaborate and create something impactful together. 

11/01/2024: 14th International Conference on Structural Safety and Reliability - ICOSSAR'25 

We are pleased to extend an invitation to researchers and professionals in AI-driven optimization and structural resilience to participate in our session at the 14th International Conference on Structural Safety and Reliability (ICOSSAR'25). This conference will take place June 1-6, 2025, on the campus of the University of Southern California in Los Angeles, CA, USA. Our session, titled "AI-Driven Optimization for Structural Resilience," will focus on the integration of artificial intelligence (AI) and machine learning (ML) with optimization methods to advance structural safety and resilience.  This session will cover AI-enhanced optimization for structural risk assessment, predictive modeling for hazard forecasting, multi-objective and robust optimization, and AI-driven, real-time decision support.

We aim to bring together innovative contributions from leading researchers to foster discussions on AI/ML and optimization techniques for structural resilience. This session will provide valuable insights into emerging research trends, ongoing challenges, and future directions at the intersection of AI, ML, and structural safety.

Abstract submissions for ICOSSAR'25 are now open as of today, November 1, 2024, and will remain open until December 31, 2024. If you are interested in presenting your research in our session, please feel free to reach out to me or my co-organizer, Abdullah Braik from Texas A&M University. We look forward to potentially collaborating and showcasing the latest advancements in structural resilience with the ICOSSAR community.

Submission Link: https://submissions.icossar2025.org/submit-abstract