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Dr. Michael Mühlebach is a Lecturer at the Department of Information Technology and Electrical Engineering, ETH Zurich, and affiliated with the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He holds a Bachelor's (2010) and Master's (2013) from ETH Zurich, recognized with awards for academic excellence in Robotics, Systems, and Control. His research focuses on multibody dynamics, nonlinear system control, and model predictive control, with applications in robotics and aerospace systems. His work spans theoretical advancements in variational integrators and practical implementations in systems like the Cubli (a reaction wheel-based 3D inverted pendulum) and flying platforms for ducted fan actuation. Publications highlight contributions to model predictive control schemes with stability guarantees, nonlinear analysis, and distributed event-based state estimation. Key awards include the Outstanding D-MAVT Bachelor Award and Willi-Studer Prize. His research integrates control theory with real-world applications, emphasizing both foundational mathematics and engineering implementations. No grants or lab affiliations are explicitly listed in the provided text.

• Multibody Dynamics
• Control of Nonlinear Systems
• Model Predictive Control
• +3 more

Lam James is a Chair Professor of Control Engineering at the University of Hong Kong (HKU), affiliated with the Faculty of Engineering. He holds a BSc (1st Hons.) in Mechanical Engineering from the University of Manchester, and MPhil/PhD degrees from the University of Cambridge. His academic journey includes roles as a Croucher Fellow, Lecturer at the University of Melbourne, and faculty member at City University of Hong Kong before joining HKU in 1993. Professor Lam serves as Editor-in-Chief for four international journals including IET Control Theory and Applications and Journal of The Franklin Institute . His research focuses on networked control systems, vibration control, control theory, and multi-agent systems. With 600+ peer-reviewed publications, he maintains an H-index of 102 (Web of Science) and 108 (Scopus), recognized as a Highly Cited Researcher in multiple fields. Education: BSc Manchester (Mechanical Engineering), MPhil/PhD Cambridge Editorial Roles: 20+ journals, including leadership roles since 2012 His awards include Foreign Membership of Academia Europaea (2024), National Academy of Artificial Intelligence membership (2025), and two State Natural Science Awards (2015, 2019). He is a Fellow of multiple institutions including IEEE, IMechE, and HKIE.

• Networked control systems
• Vibration control
• Control theory
• +7 more

Maurice Heemels is a Full Professor at Eindhoven University of Technology (TU/e), leading the Control Systems Technology group. He holds additional professorships in EAISI Mobility, EAISI Foundational, EAISI Health, and EAISI High Tech Systems. His research focuses on hybrid and networked systems, emphasizing resource-aware control, event-triggered strategies, and cyber-physical systems integration. He is an IEEE Fellow and chairs the IFAC Technical Committee on Networked Systems. Academic Background: MSc and PhD in Mathematics (TU/e, 1995 and 1999, both summa cum laude ) Visiting Professorships: ETH Zurich (2001), UC Santa Barbara (2008) Industry Experience: Research & Development at Océ NV Research Interests: Hybrid Systems, Networked Control, Event-Triggered Control Model Predictive Control (MPC) in healthcare and high-tech systems Cyber-Physical Systems for applications like lithography and precision agriculture Key Contributions: Developed Hybrid Integrator-Gain (HIGS) systems and Projection-Based Control methodologies Recipient of a VICI Grant for wireless control systems research Oversaw over €7M in research funding from NWO, EU, and industry Awards & Recognition: Automatica Outstanding Service Award (2014) Best Paper Awards (EBCCSP 2017, etc.) Invited Keynote Speaker at ECC, CDC, and others Grants & Projects: Current Projects: COMEDI (Cost-effective Mechatronics), PROACTHIS (Projection-based Control) Past Projects: Fault Detection in Wafer Scanners, Drone-based Farming Labs & Teams: Active in TU/e’s Cyber-Physical Systems and Systems Engineering research groups, collaborating globally on nonsmooth dynamics and hybrid systems.

• Hybrid Systems
• Networked Control Systems
• Event-Triggered Control
• +7 more

Ariadne Justi Bertolin is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with the Centre for Sustainable Energy Systems (SES) and The Foundry: Centre for Digital, Manufacturing & Design. She is actively involved in research and is currently accepting doctoral students. Her research focuses on control theory, particularly in the areas of nonlinear systems, robust control, and stability analysis. Key topics include Lur'e systems, output feedback, Zames-Falb multipliers, and LMI-based design methods. She applies these theories to autonomous systems, energy systems, transportation, and industrial automation. The recent publications show a strong trend in developing LMI-based algorithms for stability and control synthesis of both continuous-time and discrete-time nonlinear systems. Her work emphasizes robustness, performance guarantees (e.g., ℒ2-gain), and practical implementation using finite impulse response and noncausal multipliers. She has been the Principal Investigator on a project titled 'Improving stability and control synthesis conditions for nonlinear systems,' indicating leadership in her research domain. While no formal awards are listed, her publications in IEEE and IFAC journals reflect high-quality contributions to control engineering. Dr. Bertolin advises doctoral students and is engaged in collaborative research, particularly with scholars like G. Valmorbida, R. C. L. F. Oliveira, and P. L. D. Peres. Her work is supported by ongoing research projects and contributes to the theoretical foundations of modern control systems. She is affiliated with key research centers at Bath, including the Centre for Sustainable Energy Systems and The Foundry, which focus on digital manufacturing, sustainable energy, and design innovation.

• Control Theory
• Nonlinear Systems
• Robust Control
• +12 more

Venkataramanan Balakrishnan is a Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering, Case Western Reserve University. His research focuses on numerical methods, optimization for systems and control, control theory, and applications in communication, signal processing, robotics, and VLSI design. He holds an IEEE Fellow designation since 2012. Education: PhD in Electrical Engineering, Stanford University, 1992 MS in Statistics, Stanford University, 1992 MS in Electrical Engineering, Stanford University, 1988 Bachelor of Technology in Electrical Engineering, Indiana Institute of Technology, 1985 He has held multiple leadership roles in IEEE committees, including Deputy Director of Operations (2015–Present) and Director of Operations (2016–Present) of the IEEE Control Systems Society Executive Committee. He has also served as an Associate Editor for IEEE Transactions on Automatic Control (2001–2003) and organized numerous conference sessions and workshops on topics like Linear Matrix Inequalities (LMIs) in control theory. Key External Appointments: Member, IEEE Control Systems Society Technical Program Committee (1999–Present) Co-Registration Chair, IEEE Conference on Control Applications (1999–Present) Member, Board of Governors, IEEE Control Systems Society (2014–Present) His contributions span conference organization, including roles as session co-chair and workshop organizer for events such as the American Control Conference and IEEE Conference on Decision and Control.

• Systems and Control
• Control Theory
• Optimization Methods
• +5 more

Mohammad Narimani is a Senior Lecturer in the Department of Mechatronic Systems Engineering at Simon Fraser University’s Faculty of Applied Sciences. He holds a PhD in Mechatronics Engineering from King's College London (2011), a MASc in Electrical Engineering from Isfahan University of Technology (2001), and a B.Sc. in Electrical Engineering from Sharif & Isfahan University of Technology (1997). His teaching focuses on core mechatronic disciplines, including Control Theories, Mechatronic Design, Signal Processing, and Digital Logic Circuits. Dr. Narimani’s research spans multiple domains: Biomedical Engineering : Developing machine learning models for healthcare applications like blood pressure estimation and spinal injury detection. Control Systems : Stability analysis in fuzzy logic-based systems and nonlinear control theory. Renewable Energy : Investigating fuel cell dynamics during oxygen starvation to improve efficiency and safety. Machine Learning : Multimodal sensing for activity recognition and physical monitoring systems. Recent work emphasizes practical applications such as wearable sensor integration for health monitoring and smart home systems. His articles reflect a trend toward combining traditional engineering principles with modern AI-driven methodologies. Advising and grants: No formal advisees listed, but his courses (e.g., MSE 381 Feedback Control Systems, MSE 250 Electric Circuits) suggest involvement in student mentorship. No specific grants mentioned in available texts. Lab affiliations: Active within the Faculty of Applied Sciences’ research ecosystem, though specific lab names are not detailed in the provided materials.

• Control Systems
• Mechatronics Design
• Signal Processing
• +4 more

David Angeli is a Professor of Nonlinear Network Dynamics in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. Affiliations: Control and Power Research Group Energy Futures Lab His research focuses on Economic Model Predictive Control, Stability of Nonlinear Systems, Chemical Reaction Networks Theory, Systems Biology, and Control of Smart Grids. He develops theoretical frameworks for networked systems with applications in energy infrastructure and biological processes, emphasizing robustness and scalability in distributed settings. Recent publications (2023-2025) highlight work on distributed control algorithms, Lyapunov-based stability certification, and small-gain theorems for interconnected systems. His research bridges control theory, game theory, and machine learning to solve problems in cyber-physical systems, particularly in resilient consensus protocols and economic optimization for heterogeneous networks. As a core member of the Control and Power Research Group and Energy Futures Lab, he contributes to sustainable energy solutions and advanced control methodologies for complex networked systems.

• Economic Model Predictive Control
• Stability of Nonlinear Systems
• Chemical Reaction Networks Theory
• +5 more

Pierre Combeau serves as an Associate Professor within the School of Engineering at the University of Poitiers, France, affiliated with the LIAS laboratory (Laboratoire d'Informatique et d'Automatique pour les Systèmes)—a joint research unit between ENSIP (École nationale supérieure d'ingénieurs de Poitiers) and ISAE-ENSMA. His work centers on the Automatic Control Team, contributing to France's national research infrastructure in systems engineering. His research integrates Automatic Control and Systems Engineering with real-world applications in wireless communications and intelligent transport systems. Key specialties include power control algorithms for LTE networks, smart antenna design for vehicular communications, and chaos-based secure transmission methods. This interdisciplinary approach bridges theoretical control frameworks with practical implementations in telecommunications infrastructure and mobility solutions, emphasizing robustness and efficiency in dynamic environments. Publication analysis reveals consistent focus on control-theoretic solutions for communication challenges, particularly in power optimization, adaptive beamforming, and chaos-driven security protocols. His work spans theoretical advancements—such as LMI-based controller synthesis—and applied deployments in transport telematics and indoor wireless systems, demonstrating strong industry-academia collaboration through IEEE-published outcomes. Scientific Awards: No awards or fellowships were documented in the source material. Advising and Grants: The text provides no details regarding doctoral students, research grants, or funded projects under his supervision. Laboratory Structure: LIAS operates across two sites—ENSIP in Poitiers (Bâtiment B25) and ISAE-ENSMA in Chasseneuil (Téléport 2)—organized into three core teams: Automatic Control, Data Engineering, and Real Time. Combeau's contributions specifically advance the Automatic Control Team's mission in dynamic system regulation.

• Automatic Control
• Systems Engineering
• Wireless Communications
• +2 more

Dr. Emmanuel Prempain is an Associate Professor at the School of Engineering, University of Leicester. His research focuses on control systems, convex optimization, and their applications in aerospace systems such as helicopters, re-entry vehicles, and UAVs. He specializes in robust control methodologies like gain scheduling, fixed-order synthesis, and Linear Matrix Inequality (LMI) frameworks. Recent work emphasizes energy-efficient control strategies for robotic arms and quadrotor UAVs, leveraging iterative learning control (ILC) and hybrid optimization algorithms. His contributions include model predictive control (MPC) designs for nonlinear systems and fault-tolerant switched control for multivariable systems. Key Technologies: Robust control, MPC, ILC, UAV control, aerospace systems Applications: Autopilot design, robotic trajectory tracking, energy optimization Dr. Prempain has developed a 2DoF Twin Rotor MIMO system for educational and research purposes, demonstrating practical applications of advanced control theories. His publications span over two decades, reflecting a sustained commitment to advancing control system methodologies.

• Control Systems
• Convex Optimization
• Aerospace Systems
• +7 more

Mahdieh S. Sadabadi is a Lecturer in the Department of Electrical and Electronic Engineering at The University of Manchester. Her research focuses on robust control systems for cyber-physical energy systems, particularly in microgrids, power electronics, and power grid resilience. She holds a Ph.D. in Control Systems from EPFL (2016) and has held academic positions at Queen Mary University of London, the University of Sheffield, and research roles at institutions like the University of Cambridge and Linköping University. She is a Senior Member of IEEE and a Fellow of the Higher Education Academy. Her research interests include advanced control strategies for power-electronics-rich networks, enhancing resilience in cyber-physical systems, and control of inverter-based resources. She actively contributes to UN Sustainable Development Goals related to sustainable energy and digital systems. She accepts PhD students and oversees funding opportunities from global scholarships. Key achievements include the 2020 Outstanding Paper Award at IEEE Global Power, Energy, and Communication Conference. Her work emphasizes cyber-physical security, distributed control architectures, and retrofitting strategies for DC microgrids. She collaborates internationally on projects addressing cyberattacks, resilience metrics, and energy market integration.

• Microgrids
• Power Grid Resilience
• Control Systems
• +3 more

Adlane HABED is an Associate Professor of Computer Science at Télécom Physique Strasbourg, University of Strasbourg, France. He is affiliated with the Control, Vision and Robotics research group within the Imaging, Computer and Engineering Sciences Laboratory (ICube UMR-CNRS 7357). His work focuses on advanced computer vision techniques, medical imaging applications, and robotics, with a strong emphasis on camera calibration, 3D reconstruction, and sensor fusion. Research interests include: - Robust camera autocalibration methods - 3D reconstruction from uncalibrated data - Medical applications in laparoscopic surgery and image-guided interventions - Optimization techniques for vision systems (e.g., LMI/SOS programming) - Sensor fusion for robotics and visual odometry Notable projects include DrAACaR, ArchZoo3D, MOSCA, and WiDop, though specific project descriptions are not provided. His work bridges theoretical computer vision with practical medical and robotic applications. Labs/Teams: Active member of the ICube laboratory's Control, Vision and Robotics group, contributing to interdisciplinary research in autonomous systems and medical imaging.

• Computer Vision
• Robotics
• Medical Imaging
• +3 more

Thiago Alves Lima is an Associate Professor at CentraleSupélec, France, specializing in control theory and systems engineering. His research focuses on control and Lyapunov methods for hybrid/nonlinear systems, dissipativity theory, and numerical techniques like Linear Matrix Inequalities (LMIs). He is affiliated with the L2S laboratory and previously held postdoctoral positions at Université Catholique de Louvain (Belgium) and CNRS CRAN (France). His work addresses challenges in switched systems stabilization, time-delay compensation, and robust control design. He has contributed to prestigious conferences like ECC and journals such as Control Engineering Practice. His academic journey includes a PhD from Federal University of Ceará (Brazil), with research stays at LAAS-CNRS (France) and participation in ERC-funded projects. Education: PhD in Electrical Engineering (2021), Federal University of Ceará, Brazil; Postdoctoral fellowships at UCLouvain (2021-2023) and CRAN (2022-2023). Research interests span Lyapunov methods for nonlinear systems, formal methods in control, and applications in industrial processes. He co-designs controllers for systems with delays and saturating actuators, leveraging dissipativity principles for stabilization. Recent contributions include papers on switched systems stabilization (2024), dissipativity-based designs (2023-2024), and hybrid systems analysis. His work emphasizes practical applications in robotics and industrial automation, with a focus on bridging theoretical control frameworks and real-world implementation challenges. Labs/Teams: Member of the COMEDY team at L2S, collaborating with SYCOMORE and IPHYCOM groups. Involved in ERC-funded projects and editorial activities for control conferences. His research bridges fundamental control theory with engineering applications, addressing complexity through interdisciplinary approaches.

• Control Theory
• Lyapunov Methods
• Nonlinear Systems
• +5 more

Benoît Boivin serves as an Associate Professor in the Department of Automatic Control and Systems at the School of Engineering, University of Poitiers. He is an active member of the LIAS laboratory (Laboratory of Informatics and Automatic Control Systems), operating across dual sites at ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, where he contributes to the Automatic Control Team alongside Data Engineering and Real Time research groups. His research spans Control Systems , Embedded Hardware Implementation , and Industrial Sensor Applications , with specialization in multivariable PID control, FPGA-based real-time systems, and gyroscope stabilization. Key methodologies include output feedback stabilization under structural constraints and LMI optimization techniques for robust control solutions in industrial environments. Analysis of his 2002-2006 publications reveals consistent focus on bridging theoretical control design with hardware deployment, particularly for vibrating gyroscopes and asynchronous motors. His work demonstrates strong integration of Field-Programmable Gate Arrays (FPGAs) for real-time control, emphasizing industrial applicability in sensor systems and motor drives while addressing vibration challenges in precision instrumentation. Benoît Boivin operates within LIAS's collaborative framework, leveraging shared infrastructure across its three technical teams. The laboratory's dual-campus structure facilitates cross-disciplinary work between Poitiers' urban engineering hub and ISAE-ENSMA's aerospace-focused campus, supporting hardware prototyping and industrial partnership development in control system applications.

• Control Systems
• Automatic Control
• Embedded Systems
• +3 more

Ramon Sarrate Estruch is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT) and the Department of Systems Engineering and Automation. His professional category is 'Professor Agregat,' reflecting his senior academic role. He leads research in the SIC (Sistemes Intel·ligents de Control) and CS2AC-UPC (Supervision, Safety and Automatic Control) groups, focusing on advanced control systems, fault diagnosis, and automation. His educational background includes a degree in Industrial Engineering and a Doctorate in Industrial Engineering from UPC. He has consistently contributed to academic projects and collaborations, evidenced by over 159 documented activities, including research projects, conference presentations, and publications in peer-reviewed journals such as Engineering Applications of Artificial Intelligence and International Journal of Applied Mathematics and Computer Science. Ramón's research interests revolve around fault-tolerant control, model predictive control (MPC), and reliability-aware systems. He has pioneered work in actuator fault estimation, LPV system control, and health-aware frameworks for critical infrastructure. His work emphasizes practical applications in industries like aerospace (UAV systems) and energy (gas turbines). Notable projects include coordination of autonomous vehicles, health management for UAVs, and safety-critical control systems. His contributions span 30+ years, with impactful publications from 1993 to 2024. He collaborates extensively with peers like F. Nejjari, V. Puig, and J. Quevedo, driving advancements in supervision, safety, and automatic control.

• Control Systems
• Fault Diagnosis
• Automation
• +3 more

Remi Drai is Professor of Mathematics at Grove City College, Pennsylvania. His primary appointment resides within the Department of Mathematics, where he teaches and conducts research in applied mathematics with a strong emphasis on guidance, navigation, and control (GNC) systems for aerospace applications. Prof. Drai's research portfolio, as evidenced by more than two-dozen peer-reviewed publications between 1997 and 2014, centers on the mathematical foundations of spacecraft navigation and control. His interests span vision-based landing algorithms for lunar and planetary missions, robust multi-objective control synthesis via convex optimization, and autonomous guidance schemes for near-Earth asteroid rendezvous. A recurring theme is the fusion of inertial sensors with vision/GNSS data to achieve pinpoint landing accuracy under stringent mission constraints. Across his publications, Drai addresses both theoretical contributions—such as dissipative control theory and linear matrix inequality (LMI) methods—and practical validation through laboratory demonstrations and flight testing. This dual focus highlights a commitment to bridging rigorous mathematical analysis with real-world aerospace engineering challenges. Laboratory & Collaborations: While explicit laboratory names are not provided, the breadth of flight-test campaigns (e.g., precision landing GNC facility tests, ExoMars EDL demonstrator) indicates extensive collaboration with European space agencies and industry partners. Contact: Email: DraiR@gcc.edu Phone: 724-458-2105

• Guidance, Navigation, and Control (GNC)
• Aerospace Engineering
• Spacecraft Dynamics
• +4 more