Sameh Eisa

Dr. Sameh Eisa is an Assistant Professor in the Aerospace Engineering and Engineering Mechanics Department at the University of Cincinnati's College of Engineering and Applied Science. He leads the Modeling, Dynamics and Control Lab (MDCL) and serves as Principal Investigator on multiple significant research grants from NSF and DARPA.

Dr. Eisa earned his BSc in Electrical Engineering from Alexandria University, Egypt (2010) and completed his PhD in Applied and Industrial Mathematics at New Mexico Tech, USA (2017) without obtaining a Master's degree due to his strong publication record. Prior to joining the University of Cincinnati, he served as a Postdoctoral Researcher and Lecturer in the Mechanical and Aerospace Engineering Department at UC Irvine (2017-2021).

His research spans three primary interconnected areas:

• Dynamical Systems and Control Theory - focusing on nonlinear dynamics, stability analysis, averaging theory, geometric control, and vibrational stabilization
• Mathematical Modeling and Control Systems - specializing in wind turbine dynamics, UAV control, and bio-inspired robotics
• Signal Processing and Imaging - applying machine learning techniques to signal and image analysis

His work demonstrates strong interdisciplinary connections between mathematics, aerospace engineering, and renewable energy systems.

Analysis of Dr. Eisa's recent publications reveals a consistent focus on nonlinear dynamics and control applications, particularly in wind energy systems and bio-inspired UAVs. His research shows a progression from fundamental mathematical control theory toward practical engineering applications, with increasing emphasis on bio-mimicry approaches for UAV flight efficiency. The publications demonstrate strong methodological rigor while addressing real-world engineering challenges in renewable energy and autonomous systems.

Dr. Eisa currently leads four major research projects:

• NSF Grant #DMS-2318772 (2024-2027): $199,098 as PI for research on sensitivity and control theory for systems with extreme behaviors
• DARPA Teaming Agreement (2024-2031): PI for the ALBATROSS project
• Mission Oriented Rapid Solution Engineering ALBATROSS (2025-2027): PI
• MOR1077 JIT documents (2025-2027): PI for testing autonomous dynamic soaring methods

These projects demonstrate his leadership in cutting-edge research at the intersection of control theory and aerospace applications.

As Director of the Modeling, Dynamics and Control Lab (MDCL), Dr. Eisa oversees research focused on advancing theoretical frameworks for nonlinear control systems with applications to wind energy and bio-inspired UAVs. The lab serves as an interdisciplinary research environment bridging mathematics, aerospace engineering, and robotics, with particular emphasis on developing nature-inspired solutions for autonomous flight systems.