Bio
I am Behdad (Ben) Ehsani, a MSc graduate in Data Science from HEC Montréal, one of the top business schools in Canada. I also pursued MSc coursework in Operations Research and System Optimization from the University of Tehran. Prior to my studies at University of Tehran, I earned a BSc in Industrial Engineering from K.N. Toosi University.
With a diverse academic background and over two years of professional experience in the research departments of the energy and health-care industries, I have developed a strong foundation in data-driven decision-making approaches. I have effectively addressed managerial challenges using innovative solutions and have a keen interest in leveraging Deep Learning and Machine Learning models for time-series forecasting and natural language processing (NLP).
Alongside my expertise in AWS Cloud services, I am committed to staying at the forefront of cutting-edge technology and continuously seek to develop innovative solutions to complex problems. My technical skills include programming in Python and R, SQL, machine learning frameworks such as PyTorch and TensorFlow, and utilizing AWS Cloud platform services.
Throughout my academic and professional journey, I have been recognized for my achievements, winning several awards and publishing in reputable journals. I possess excellent teamwork and technical writing skills.
Research Interests
My research interests lie in the following areas:
- Applied Data Science and Machine Learning
- Operations Research and Optimization
- Time-Series Forecasting
- Natural Language Processing (NLP)
- Artificial Intelligence for Supply Chain Management
- Energy Sector Management - electricity market
I am passionate about exploring innovative solutions and leveraging advanced techniques to tackle real-world challenges in these domains.
Journal Publications
- Price Forecasting in the Ontario Electricity Market via TriConvGRU Hybrid Model: Univariate vs. Multivariate Frameworks. Authors: Behdad Ehsani, Pierre-Olivier Pineau, Laurent Charlin. Journal: under review at Energy Economics. Date: 2023/04.
- Designing humanitarian logistics network for managing epidemic outbreaks in disasters using Internet-of-Things. A case study: An earthquake in Salas-e-Babajani city. Authors: Behdad Ehsani, Hamed Karimi, Alireza Bakhshi, Amir Aghsami, Masoud Rabbani. Journal: Computers & Industrial Engineering. Date: 2023/01.
- A sustainable supplier selection method using integrated Fuzzy DEMATEL–ANP–DEA approach (case study: Petroleum Industry). Authors: Seyed Amir Nasri, Behdad Ehsani, Seyed Javad Hosseininezhad, Nasser Safaie. Journal: Environment, Development and Sustainability. Date 2022/08.
- Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions. Authors: Fariba Goodarzian, Ali Navaei, Behdad Ehsani, Peiman Ghasemi, Jesús Muñuzuri. Journal: Annals of Operations Research, Date: 2022/05.
CV
Download my CV here.
Awards
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HEC Montréal Tuition Exemption
I won a tuition fee exemption for the four consecutive semesters, which is worth $24000. The scholarship is based on my resume, previous research, and grades.
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HEC Montréal Research Bursary
I won a research bursary based on my master’s thesis proposal, which is worth $6000. This scholarship was issued by the Chair in Energy Sector Management of HEC Montreal.
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HEC Montréal Entrance Scholarship
I won the $4000 award, based on my undergraduate GPA and research experiences.
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Merit-based Admission for MS.c of Operations Research - System Optimization at the University of Tehran
Exceptional talents admission without the Iranian university entrance exam based on my undergraduate grades was honored by the University of Tehran.