Sabah Farshad

• Engineering Education: Enhancing undergraduate and graduate learning through innovative teaching methodologies, Project-based Learning (PBL), and the integration of AI.
• Collaborative Engineering Design: Developing tools and techniques to improve teamwork, engagement, and innovation in engineering design and learning.
• Digital Feedback Technologies: Leveraging AI and machine learning to provide actionable insights for improving student and team performance in educational settings.
• Systems Thinking in Education: Promoting systems-based approaches to problem-solving and curriculum development in engineering programs.
• Cognitive Science in Learning: Applying cognitive training and decision-making research to optimize educational outcomes and student engagement.
• Interdisciplinary Education: Bridging engineering, cognitive science, and real-world applications to create comprehensive and practical learning experiences.
• Professional Skills Development: Integrating soft skills, such as teamwork, negotiation, and leadership, into engineering design and engineering curricula to prepare students for complex, multidisciplinary environments.

Farshad S., Zorin E., Amangeldiuly N., & Fortin C. (2024). “Engagement Assessment in Project-Based Education: A Machine Learning Approach in Team Chat Analysis.” Education and Information Technologies. https://doi.org/10.1007/s10639-023-12381-5
Farshad S., & Fortin C. (2023). “A Novel Method for Measuring, Visualizing, and Monitoring E-Collaboration.” International Journal of E-Collaboration, 19(1), 1–21. https://doi.org/10.4018/IJeC.317223
Farshad S., & Fortin C. (2023). “Active Engagement in Collaborative Engineering Design: How to Measure and Use it in a Feedback System?” Proceedings of the Design Society, Volume 3: ICED23, pp. 455 – 464. https://doi.org/10.1017/pds.2023.46
Farshad, S., Brovar, Y., Fortin, C. (2024). “Enhancing Collaborative Design Through Process Feedback with Motivational Interviewing: Can AI Play a Role?” In: Danjou, C., Harik, R., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and
Knowledge Management for Sustainable Innovation. PLM 2023. IFIP Advances in Information and Communication Technology, vol 702. Springer, Cham. https://doi.org/10.1007/978-3-031-62582-4_22
Farshad S., & Fortin C. (2021). “Distributed Cognition Transformation in Complete Online System Engineering Design Teaching.” Proceedings of the Design Society, Volume 1: ICED21, pp. 1313 – 1322. https://doi.org/10.1017/pds.2021.131
Farshad S., Abharian P. H., Malaei F. & Safari M. (2020). “Enhancing Inhibitory Control and Risky Decision-Making with Brain Stimulation: A Randomized and Sham-Controlled Study.” International Journal of Psychosocial Rehabilitation. https://www.psychosocial.com/article/PR261534/36818

• PhD in Engineering Systems and Control
  Skoltech (Skolkovo Institute of Science and Technology), Moscow, Russia
  Nov. 2019 – Feb. 2024
  • Thesis: “Improving Collaborative Engineering Design and Learning through Feedback Systems in the Age of Digitalization and AI”
  • Advisor: Prof. Clement Fortin
• Master of Science in Cognitive Science
  Shahid Beheshti University, Tehran, Iran
  Sep. 2016 – Sep. 2018
  • Thesis: “Improving Inhibitory Control and Risky Decision-Making in Healthy Adults through Cognitive Training and tDCS”
  • Advisors: Prof. Peyman H. Abharian, Prof. Farzaneh Safavi Menesh, Prof. Mir Shahram Safari
• Bachelor of Engineering in Civil Engineering
  Azad University, Sanandaj, Kurdistan, Iran
  Jan. 2008 – Jul. 2010
• Associate of Science in Civil Works
  Technical and Vocational College for Boys, Sanandaj, Kurdistan, Iran
  Sep. 2002 – Jun. 2004

• Engineering Education Innovation: Advancing learning experience through collaborative learning and personalized feedback mechanisms.
• Collaborative Engineering Design: Enhancing teamwork, engagement, and innovation in multidisciplinary engineering environments.
• AI-Driven Learning Systems: Leveraging artificial intelligence for personalized feedback and performance improvement in education.
• Systems Thinking and Design: Applying systems engineering principles to complex problem-solving in both educational and industrial contexts.
• Cognitive Science in Education: Exploring the impact of cognitive training and decision-making research on student engagement and learning.
• Digitalization in Engineering: Investigating the role of digital tools and technologies in transforming engineering practice and education.
• Interdisciplinary Collaboration: Fostering connections between engineering, cognitive science, and real-world applications to drive innovation.
• Professional Skills Development: Integrating negotiation, teamwork, and leadership training into engineering curricula for holistic education.

• Grant Winner: “Innovations in Education” Proposal, Skoltech, 2023
• Best Paper Nominee: IFIP 20th International Conference on Product Lifecycle Management, Montreal, 2023
• Best Startup Pitch: Demo Day Competition, Skoltech-MIT Global Startup Labs, 2022
• Certificate of Recognition: Contribution to Skoltech Education Process, 2021
• Fully Funded PhD Scholarship: Skolkovo Institute of Science and Technology (Skoltech) [when it was in collaboration with MIT], Russia, 2019
• Best Speaker Award: World Science Day for Peace and Development, Tehran University, 2018
• Talk Master Award: 5th Neuroscience Congress, Iran University of Medical Sciences, 2016
• Outstanding Contribution Award: for organizing and conducting social events, Vocational College for Boys, 2003.