ALI BEHNOOD
Oxford,MS
Summary
Interdisciplinary AI researcher leading initiatives in trustworthy AI, scientific machine learning, and optimization for complex operational environments. Expertise in developing predictive analytics and decision-support systems, with a focus on translating research into real-world applications in logistics, manufacturing, and transportation.
Overview
3
3
years of professional experience
Work History
Assistant Professor
University Of Mississippi Ole Miss
Oxford, MS
08.2023 - Current
- Lead an interdisciplinary AI research program focused on scientific machine learning, trustworthy AI, optimization, and decision intelligence.
- Develop novel machine learning methodologies integrating physics-informed modeling, uncertainty quantification, and explainable AI for high-stakes decision-making.
- Secured and managed externally funded research projects, leading multidisciplinary teams to achieve project goals.
- Collaborated with academic, government, and industry partners to translate AI research into practical applications, driving innovation and real-world impact.
- Developed predictive analytics and optimization frameworks for forecasting, logistics, manufacturing, transportation, and complex operational systems, enhancing decision-making processes.
- Teach and mentor students in machine learning, business analytics, data science, and Python programming.
- Contribute to the global AI research community through editorial leadership, peer review, and research service.
Education
MBA -
University of Mississippi
University, MS01-2026
Ph.D. - Civil Engineering
Purdue University
West Lafayette, IN09-2016
Master of Science - Transportation Engineering
Iran University of Science And Technology
Tehran, Iran02-2011
Bachelor of Science - Civil Engineering
Iran University of Science And Technology
Tehran, Iran09-2008
Skills
- Scientific ML
- Trustworthy AI
- Explainable AI (SHAP)
- Uncertainty Quantification
- Predictive Analytics
- Statistical Modeling
- Optimization
- Time-Series Forecasting
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- XGBoost
- Data Visualization
SELECTED LEADERSHIP
- PI, EPA ($749K)
- PI, NSF CAREER (submitted)
- PI, NASA EPSCoR (submitted)
- Co-PI, NCHRP
- NSF Reviewer
AI LEADERSHIP
- Machine Learning for Engineers
- Business Analytics
- APSE School of Excellence Founder
- Open-access AI & Python YouTube channel
SELECTED RESEARCH THEMES
- Physics-Informed Machine Learning for complex physical systems.
- Conformal prediction and uncertainty-aware AI.
- Explainable AI for transparent, high-stakes decisions.
- Optimization and decision intelligence.
- Transportation, manufacturing, and infrastructure analytics.
- Digital twins and intelligent operational systems.
Accomplishments
- 100+
Peer-reviewed Publications - 12,000+
Google Scholar Citations
55
h-index
$1.5M+
Research Funding- Top 2%
Elsevier–Stanford Scientist
Highly Cited
Clarivate Researcher
Top 100
ScholarGPS Worldwide
Timeline
Assistant Professor
University Of Mississippi Ole Miss
08.2023 - Current
MBA -
University of Mississippi
Ph.D. - Civil Engineering
Purdue University
Master of Science - Transportation Engineering
Iran University of Science And Technology
Bachelor of Science - Civil Engineering
Iran University of Science And Technology