Farhad Imani

Farhad Imani is an Assistant Professor at the University of Connecticut's Department of Mechanical Engineering, part of the School of Engineering. He leads the Intelligent Systems and Control Laboratory (ISCL), focusing on AI-driven advancements in manufacturing systems, robotics, and quality control. His work integrates machine learning, federated learning, and hyperdimensional computing to address challenges in additive manufacturing, privacy preservation, and smart manufacturing processes.

Education: He holds a Dual-title Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University (2020). His research is supported by grants from NSF and CCAT, and he has authored over 50 peer-reviewed articles in top journals and conferences.

Research Interests: Core areas include data analytics, machine learning applications in manufacturing, federated learning, privacy-preserving techniques, robotics, and anomaly detection. His lab develops tools for intelligent process monitoring, defect localization, and cooperative robotic systems in advanced manufacturing.

Awards: Recipient of the NSF Graduate Research Fellowship Honorable Mention (2024), CCAT Faculty Fellow (2024), and multiple fellowships from Penn State. He serves as an Associate Editor for ASME's Journal of Autonomous Vehicles and Systems (JAVS).

Students & Collaborations: Advises PhD and Master's students (e.g., Zhiling Chen, Danny Hoang) and collaborates with institutions like NIST, UC Irvine, and CCAT. His lab actively participates in STEM outreach programs and industry partnerships.

Labs/Teams: ISCL focuses on cognitive computing, digital twins, and edge-based learning systems. Recent projects include the Robotics Dataset ScanBot and privacy-preserving frameworks for manufacturing data.