جست‌وجوی استاد و پژوهشگر

John Valasekمشاهده پروفایل

استاد

• Autonomous Systems
• Nonlinear Control
• Cyber-Physical Systems
• +۵ مورد دیگر

John Valasek is a Professor in the Department of Aerospace Engineering at Texas A&M University, holding the Drs. L. Diane '88 and John E. Hurtado '91 Professorship. He directs the Vehicle Systems & Control Laboratory (VSCL) and serves as Site Director for the NSF Center for Autonomous Air Mobility and Sensing (CAAMS) and the FAA Center for General Aviation Research (PEGASAS). His research focuses on autonomous control systems, UAV navigation, and cybersecurity for aerospace vehicles. Valasek earned his Ph.D., M.S., and B.S. in Aerospace Engineering from the University of Kansas (1995) and California State Polytechnic University (1986). Education: Ph.D., Aerospace Engineering, University of Kansas - 1995 M.S., Aerospace Engineering, University of Kansas - 1990 B.S., Aerospace Engineering, California State Polytechnic University - 1986 Research Interests: Autonomous systems, nonlinear control, vision-based navigation, UAV control, bio-nano materials control, and aerospace systems engineering. Key Contributions: Over 100 invited lectures/seminars, leadership in NSF-funded research centers, and development of advanced control algorithms for aerospace systems. Notable publications include work on reinforcement learning for autonomous systems and real-time system identification for UAS. Awards: John Leland Atwood Award (2015) McElmurry Outstanding Teaching Award (2001, 2004, 2014) Engineering Hall of Fame inductee (2019) Advising & Grants: Advised over 60 graduate students, including recent NSF GRFP winner Evelyn Madewell. PI on multi-million-dollar grants, including the NSF CAAMS project and Air Force-funded research on autonomous systems. Labs & Teams: Directs the Vehicle Systems & Control Laboratory (VSCL), focusing on low-cost attritable aircraft technology and autonomy. Collaborates with industry partners like Stratolaunch and VectorNav through CAAMS initiatives.

Victor Becerraمشاهده پروفایل

استاد

• Power Systems Engineering
• Renewable Energy
• Control Systems
• +۴ مورد دیگر

Victor Becerra is a Professor of Power Systems Engineering at the University of Portsmouth, affiliated with the School of Electrical and Mechanical Engineering within the Faculty of Technology. He is also associated with the Centre for Environmental and Renewable Energy Solutions and the Agile Centre For Equitable Sustainability. His research focuses on advanced control systems, renewable energy integration, smart grids, battery management, and nuclear power plant control. He actively supervises PhD students in topics like optimal control of battery systems and microgrid optimization. His academic work spans over 193 publications, with recent contributions emphasizing techno-economic analysis of green hydrogen, modular energy storage solutions, and optimal control strategies for batteries and nuclear reactors. His research often addresses real-world applications such as grid flexibility at ports, peer-to-peer energy trading platforms, and drone-based inspection of offshore wind turbines. Becerra's expertise includes developing control algorithms for marine structures, sodium-cooled reactors, and unmanned aerial vehicles. He has contributed to books on solar energy engineering and applications, highlighting interdisciplinary approaches to sustainability challenges. His work integrates theoretical models with practical implementations, such as energy management systems for compressed air and advanced BMS for drones. Key themes in his research include renewable energy systems optimization, fault-tolerant control mechanisms, and adaptive control strategies for dynamic environments. He collaborates internationally, addressing global energy challenges through innovative control methodologies and sustainable technologies.

Burak Kurkcuمشاهده پروفایل

استادیار

• Robust Control
• Soft Robotics
• Switched Neural Networks
• +۳ مورد دیگر

Burak Kurkcu is an Assistant Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering. He previously served as an Assistant Professor at Hacettepe University and as a Senior Control System Design Engineer at Aselsan Inc. Education: Ph.D., TOBB University of Economics and Technology (2019) M.S., TOBB University of Economics and Technology (2015) B.S., Istanbul Technical University (2010) Research Interests: Dr. Kurkcu specializes in robust control systems, soft robotics, switched neural networks, and autonomous systems. His work focuses on disturbance estimation, simultaneous learning algorithms, and control of nonlinear systems. Recent Publication Trends: His research includes soft pneumatic actuator modeling, disturbance observer-based control methods, and evolutionary optimization for state-space models. Key themes involve soft robotics, autonomous control, and computational intelligence applications. Scientific Awards: IEEE Turkey Ph.D. Thesis Award (2020) Editorial Roles: Associate Editor for TIMC, Measurement and Control , and Turkish Journal of Electrical Engineering and Computer Science . Principal Investigator for defense-related control system projects.

Melvin Rafiمشاهده پروفایل

عضو هیئت علمی

• Aircraft flight dynamics
• Control systems
• Loss-of-control mitigation
• +۳ مورد دیگر

Melvin Rafi is an Assistant Teaching Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, part of the College of Engineering and Applied Science. His research focuses on aircraft flight dynamics, control systems, and aviation safety, particularly in loss-of-control mitigation and augmented-reality displays. He holds a PhD, MS, and BS in Aerospace Engineering from Wichita State University. Education: PhD, Aerospace Engineering, Wichita State University, 2020 MS, Aerospace Engineering, Wichita State University, 2013 BS, Aerospace Engineering, Wichita State University, 2007 His work emphasizes real-time adaptive control systems, resilient aircraft control architectures, and safety-enhancing technologies like augmented-reality pilot advisory displays. Recent publications explore predictive loss-of-control avoidance, Kalman-filter-based adaptive control, and flight dynamics in flexible aircraft. Rafi has conducted extensive pilot-in-the-loop simulations and flight tests to validate these systems. His research trends highlight integration of artificial intelligence, neural networks, and human factors into aviation safety frameworks. Notable projects include real-time control margin prediction and failure recovery mechanisms for general aviation and transport aircraft. Rafi’s professional experience includes postdoctoral research at Wichita State University’s General Aviation Flight Lab before joining CU Boulder. He collaborates on projects involving 3D design visualization, flight simulation systems, and sensor technologies for real-time aircraft diagnostics.

David Horsleyمشاهده پروفایل

استاد

• Micro-electromechanical Systems (MEMS)
• Microfabricated Sensors and Actuators
• Mechatronics
• +۳ مورد دیگر

David Horsley is a Professor in the Department of Electrical and Computer Engineering at Northeastern University, based at the Oakland, CA campus. He serves as Deputy Director of the Institute for NanoSystems Innovation, a bicoastal research institute focused on semiconductor and nanotechnology advancements. Horsley earned his PhD in Mechanical Engineering from the University of California, Berkeley in 1998. His research focuses on Micro-Electromechanical Systems (MEMS), including the design and manufacturing of microfabricated sensors/actuators, mechatronics, and control systems. Notable projects include DARPA-funded work on gyroscopes and ultrasonic transducers, as well as NSF and industry collaborations in deep tech innovation. He has received prestigious awards such as the IEEE Fellowship and NSF CAREER Award. His work spans academic-industry partnerships, with contributions to ultrasonic imaging, MEMS-based sensors, and inertial systems. Education: PhD, Mechanical Engineering (UC Berkeley, 1998) Research interests emphasize MEMS applications in biomedical imaging, navigation systems, and consumer electronics. Recent publications highlight advancements in piezoelectric micromachined ultrasonic transducers (PMUTs), including designs for long-range detection, fingerprint sensing, and array-based imaging systems. Horsley leads interdisciplinary teams in developing miniaturized sensors and resonators with enhanced performance metrics. His lab actively explores synchronization phenomena in micromechanical oscillators to improve stability in gyroscopes and other precision instruments. Key Awards: Global Network Accelerator Award (2024), NSF CAREER Award (2009) Grants: $2M DARPA FLASH project, NSF EAGER grant for international tech partnerships As Deputy Director, Horsley oversees the Institute for NanoSystems Innovation’s initiatives in nanoscale semiconductor design, fostering collaboration between Northeastern’s Boston and Oakland campuses. His lab develops MEMS technologies with applications in healthcare, robotics, and smart devices, emphasizing scalable manufacturing processes and cross-disciplinary innovation.

Seher Ekenمشاهده پروفایل

استادیار

• Thin-Walled Composite Beams
• Aeroelastic Analysis
• Hypervelocity Impact
• +۵ مورد دیگر

Seher Eken is an Assistant Professor in the Department of Aerospace Engineering at Istanbul Technical University. Her research focuses on structural dynamics and aeroelasticity of aerospace systems, specializing in thin-walled composite beams, spacecraft shielding, and hypervelocity impact mechanics. She has led multiple projects on topics like transonic flutter suppression, ballistic armor optimization, and orbital debris mitigation. Key research areas include: Composite material failure under extreme loads Aeroelastic stability of rotating structures Numerical simulation of hypervelocity impacts Dynamic analysis of aircraft wings and turbine blades Active vibration control techniques Her recent work emphasizes spacecraft protection systems, with studies on orbital debris impact dynamics and advanced composite armor design. She has also contributed to launch vehicle instability analysis and swept wing flutter characteristics. Current projects involve 3D-printed turbine blade repair, transonic flutter prediction for unmanned aircraft, and ballistic impact optimization for high-performance fabrics. Notable projects (2022–2025): AB Yeni Nesil İnsansız Savaş Uçakları Aeroelastik Uyarlama (Transonic Flutter Prediction) 3D-Printed Turbine Blade Repair with Sustainability Focus Ballistic Impact Analysis of Fabric Armors Orbital Debris Impact Simulation for Spacecraft Shields Her research integrates computational modeling (CFD, FEA) with experimental validation, focusing on aerospace structural systems under extreme conditions. Collaborations span international partners in composite material development and space debris mitigation strategies.

• Experimental Fluid Dynamics
• Data Assimilation
• Network Science
• +۳ مورد دیگر

Prof. Dr.-Ing. David E. Rival is a full Professor at the Institute of Fluid Mechanics within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. His research spans interdisciplinary domains at the intersection of experimental fluid dynamics, data assimilation, network science, and bio-inspiration, with applications in renewable energy systems and bio-mimetic engineering. Former Associate Professor at Queen’s University, Canada Doctoral work on dragonfly flight aerodynamics at TU Darmstadt Alexander von Humboldt research fellowship recipient (2020) Postdoctoral associate at MIT studying shape morphing in nature Research chair at University of Calgary on atmospheric sensing His work focuses on unsteady flow phenomena, bio-inspired design, and advanced measurement techniques. Key projects include: Co-chairing NATO AVT task group on flow separation International collaborations with AFOSR, NATO, and ONR Development of cost-effective flow-tracking sensors for natural environments Investigations into shear-thinning suspension dynamics and vortex ring behavior Recent publications demonstrate a strong emphasis on: Large-scale particle tracking with natural light and UAVs Machine learning for sparse data reconstruction in fluid flows Soft coastal protection methods and ecohydraulics Advanced sensing techniques for atmospheric and industrial applications Scientific Awards: 2020: Alexander von Humboldt Research Fellowship Notable research achievements include textbook authorship on Biological and Bio-Inspired Fluid Dynamics (Springer) and media features in The Nature of Things (David Suzuki) and Discovery Channel’s Daily Planet .

Matthew A. Franchekمشاهده پروفایل

استاد

• Dynamic Systems
• Control Systems Engineering
• Nonlinear Control Theory
• +۴ مورد دیگر

Matthew A. Franchek is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston, where he has served since 2002. His career spans over three decades, including prior roles as Professor and Chair at the University of Houston (2002–2009), Director of the Biomedical Engineering Program (2002–2009), and faculty positions at Purdue University from 1992 to 2002. He earned his Ph.D. (1991), M.S. (1988), and B.S. (1987) in Mechanical Engineering from Texas A&M University and the University of Texas at Arlington, respectively. Dr. Franchek’s research focuses on Dynamic Systems, Measurement and Control , with expertise in linear/nonlinear system identification, multivariable control theory, diagnostics/prognostics, and adaptive control. His engineering applications span internal combustion engines , exhaust after-treatment , noise/vibration control , and health prognostics for cardiovascular/respiratory systems . His recent publications highlight applications in superconductor manufacturing, aeroelastic stability, magnetic actuators, and subsea engineering. 2002 Best Paper Award, ASME Journal of Dynamic Systems, Measurement and Control 2001 ASME Dynamic Systems and Control Division Young Investigator Award 1997 CASA/SME University Lead Award 1997 Feddersen Faculty Fellow, Purdue University Multiple teaching awards at Purdue University (1994–2001) and Texas A&M University (1991) He has served as an Associate Editor for the ASME Journal of Dynamic Systems, Measurement and Control, held leadership roles in ASME and IEEE, and organized symposia on nonlinear control and robust control at international conferences. His professional activities include advisory roles at Cummins Incorporated and reviewing for NSF and numerous journals.

Inna Sharfمشاهده پروفایل

استاد

• Dynamics and Control
• Space Robotics
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Inna Sharf is a Professor at the Department of Mechanical Engineering, Faculty of Engineering, McGill University. She is affiliated with the Aerospace Mechatronics Laboratory, focusing on dynamics, control, and robotics. Her work spans space robotics, UAVs, forestry automation, and multibody systems. Ph.D., University of Toronto B.ASc., University of Toronto Her research interests include: Dynamics and control of robotic systems Space robotics for debris removal and on-orbit servicing Unmanned aerial vehicles (quadrotors, indoor airships) Forestry robotics for tree-harvesting automation Multibody dynamics and contact modeling Recent publications emphasize: Control algorithms for quadrotors and UAV swarms De-orbitation strategies using natural resonances Motion planning under dynamic constraints Thermalling and energy-efficient flight for gliders Collaborative payload transport and adaptive control Tether and net-based debris capture systems

Hafizul Asadمشاهده پروفایل

مدرس

• Formal Verification
• Hybrid Systems
• Intrusion Detection Systems
• +۵ مورد دیگر

Dr. Hafizul Asad serves as a Lecturer in Dependability at City St George's, University of London, leveraging his PhD in Electrical Engineering (City University of London, 2016) and MS in Aerospace Engineering (University of Belgrade, 2008) to advance cybersecurity and formal verification research. His expertise bridges critical infrastructure protection and cyber-physical systems security, with significant contributions to IoT/IIoT security frameworks. His educational journey includes: PhD in Electrical Engineering, City, University of London (2012-2016) MS in Aerospace Engineering, University of Belgrade, Serbia (2007-2008) BSc in Electrical and Electronics Engineering, University of Engineering and Technology Peshawar, Pakistan (1999-2003) Asad's research centers on formal verification of hybrid systems and verifiable intrusion detection mechanisms for interconnected environments. He pioneers provably robust security architectures for IoT/IIoT systems, emphasizing mathematical verification to ensure system resilience against cyber threats. His work integrates diversity principles to create defense-in-depth strategies for critical infrastructure, with recent focus on wind turbine cyber-safety and industrial control system protection. Analysis of his 15 most recent publications (2014-2025) reveals an evolution from aerospace applications and analog circuit verification toward cutting-edge cybersecurity for cyber-physical systems. His 2023-2025 work demonstrates increasing specialization in IoT security and formal methods, while maintaining foundational contributions to diversity-based security architectures established in his 2015-2018 research. No scientific awards or prizes are documented in the provided materials, though he maintains professional standing as a British Computer Society member and Higher Education Academy Associate Fellow. Details regarding doctoral student supervision or specific research grants are not disclosed in the source text. His professional trajectory indicates significant project involvement, including the D3S security project at City University of London (2015-2018) and Rolls-Royce-funded Future Systems Simulator development at Cranfield University (2018-2019), though current laboratory affiliations remain unspecified.

• Optimal Control
• Aerospace Engineering
• Robotics
• +۳ مورد دیگر

Ran Dai is a Professor in the Department of Aeronautics and Astronautics at Purdue University's College of Engineering. His research focuses on optimal control theory, trajectory optimization, and robotics applications, with an emphasis on aerospace systems and energy-efficient solutions. He leads the Autonomous Optimization Lab (AOL) and has contributed extensively to advancements in learning-based control, mixed-integer programming, and deployable space systems. His work spans applications such as spacecraft guidance, unmanned vehicle path planning, and energy management for solar-powered systems. Notable contributions include algorithms for fuel-optimal powered descent, real-time trajectory optimization, and origami-inspired deployable mechanisms. He holds a Ph.D. in Aerospace Engineering and has published over 100 peer-reviewed articles. Research interests include: Optimal control and trajectory optimization Reinforcement learning for decision-making Autonomous systems and robotics Energy-efficient aerospace engineering Recent work emphasizes meta-reinforcement learning frameworks and adaptive optimization engines for complex systems.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Sensor Fusion
• +۳ مورد دیگر

Yu Gu is an Adjunct Professor at the Lane Department of Computer Science and Electrical Engineering and a key contributor to the robotics program at West Virginia University (WVU). He directs the Interactive Robotics Laboratory (IRL), focusing on autonomous systems for planetary exploration, aviation safety, and swarm robotics. His work has earned recognition through awards such as the NASA Centennial Challenge and NASA NIAC Fellowship. Gu's research spans UAV navigation, sensor fusion, and multi-agent collaboration. His team's achievements include autonomous close-formation flight experiments and development of the SMART shared mobile robot platform for teaching. Projects sponsored by NASA, Air Force Research Laboratory, and the WV Space Grant Consortium highlight his expertise in GPS-denied navigation, flight safety monitoring, and underground mine mapping. His publications address theoretical and applied challenges in nonlinear stochastic estimation, fault-tolerant sensor fusion, and real-time stability indicators. Media coverage of his work includes features in Discovery Channel, Wired, and Aviation Week, underscoring its impact. NASA Centennial Challenge Winner NASA NIAC Fellow Gu leads projects like Stonemine (autonomous mine inspection) and SMART (open-source robotics teaching platform), with grants from agencies like NASA, AFRL, and MathWorks. The IRL lab's empirical studies demonstrate the utility of economic theories in swarm robotics task allocation and adaptability.

Mikael Eklundمشاهده پروفایل

استاد

• Autonomous Systems
• Nonlinear System Identification and Control
• Health Informatics
• +۳ مورد دیگر

Dr. Mikael Eklund is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD (2003), MSc (1996), and BSc (1989) in Electrical and Computer Engineering from Queen’s University. His research focuses on Autonomous Systems , Nonlinear System Identification and Control , Health Informatics , and Pervasive and Mobile Computing . He has expertise in medical image processing, robotic vehicles, and smart sensors for assisted living. Education and Work Experience : - PhD (Electrical and Computer Engineering), Queen’s University (2003) - MSc and BSc from Queen’s University (1996, 1989) - Visiting Postdoctoral Scholar at UC Berkeley (2003–2006) - Adjunct Assistant Professor at Queen’s University (2003) - Former Teaching Fellow at Queen’s University (1996–2001) - Industrial experience in flight control system engineering (CAE Inc., 1989–1996) Research Contributions : - Developed SensorNet, a wireless infrastructure for assisted living. - Advanced methods for nonlinear system identification in chemical processes and aerospace systems. - Pioneered real-time UAV safety protocols and model predictive control algorithms for aerial pursuit-evasion games. - Explored EMG signal processing for hand force estimation and MEG signal source localization in neuroscience. Teaching and Outreach : - Teaches courses like Medical Image Processing and Electric Circuits. - Active in interdisciplinary projects like the ITALH initiative for elder tech integration. - Presented at conferences such as IEEE EMBC, ACC, and CDC, emphasizing healthcare IT and autonomous systems.

Vahé Nerguizianمشاهده پروفایل

استاد

• Telecommunications
• Bioengineering
• Cancer Cell Detection
• +۸ مورد دیگر

Vahé Nerguizian is a full Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada, where he has established himself as a leading researcher in microelectronics, MEMS, and biomedical applications. Affiliated with the LACIME (Communications and Microelectronic Integration Laboratory), his work bridges engineering disciplines with healthcare innovations, particularly in cancer research and point-of-care diagnostics. His educational background includes a B.Ing. from Polytechnique Montréal, an M.Eng. from McGill University, and a Ph.D. from Concordia University. This strong foundation in electrical engineering has enabled his interdisciplinary research across multiple domains. Nerguizian's research focuses on the intersection of microfluidics, MEMS, and biomedical applications, with particular emphasis on cancer cell detection, liposome production for drug delivery, and microelectronic integration for healthcare solutions. His laboratory develops microfluidic devices for synthesizing nanoparticles and liposomes, with applications in cancer therapeutics and diagnostics. The work combines microwave engineering, bio-MEMS, and microelectronics to create innovative diagnostic tools and therapeutic delivery systems. His recent publications (2021-2025) demonstrate a clear trajectory toward increasingly sophisticated biomedical applications of microfluidic and MEMS technologies, with growing emphasis on cancer research, extracellular vesicle analysis, and therapeutic delivery systems. The research has evolved from fundamental MEMS and microwave engineering toward highly translational biomedical applications. 2015: Excellence in Teaching Award from the Board of Directors Nerguizian has supervised over 25 graduate students across doctoral and master's programs, with current projects focusing on microfluidic systems for nanoparticle synthesis and sensor systems for biomolecule detection. His research has received significant funding through collaborations with medical researchers, particularly with Julia Burnier's team at McGill University. The LACIME laboratory, where he conducts his research, provides state-of-the-art facilities for micro- and nanofabrication, integrated circuit design, and photonic microsystems. As part of the LACIME research group, Nerguizian contributes to a dynamic environment focused on both fundamental and applied research with strong industry connections. The laboratory's work spans from materials science to communication protocols, with particular strength in developing innovative solutions for healthcare applications.

Fendy Santosoمشاهده پروفایل

عضو هیئت علمی

• cyber-physical systems
• cybersecurity
• artificial intelligence
• +۶ مورد دیگر

Dr. Fendy Santoso is a Visiting Fellow at UNSW Canberra's School of Engineering and Information Technology, where he conducts cutting-edge research at the intersection of cyber-physical systems, cybersecurity, and artificial intelligence. His work focuses on developing robust security mechanisms for autonomous systems, particularly UAVs and robotics operating in adversarial environments. His educational background includes a PhD in Electrical Engineering from UNSW Sydney and a Master of Engineering (Electrical and Computer Systems) from Monash University. Dr. Santoso's research interests span cyber-physical systems security, adversarial machine learning, trustworthy autonomy, and AI-driven cybersecurity for autonomous platforms. His work specifically targets penetration-resistant architectures and secure decision-making frameworks for UAVs and robotic systems operating in dynamic, threat-prone environments. His approach integrates advanced fuzzy logic systems with deep learning techniques to create resilient control mechanisms that can withstand cyberattacks and operational uncertainties. Analysis of his recent publications reveals a consistent focus on applying type-2 fuzzy systems, deep learning, and negative imaginary control theory to solve critical challenges in autonomous systems security and control. His work demonstrates strong interdisciplinary connections between cybersecurity, control theory, and artificial intelligence, with particular emphasis on real-world implementation and experimental validation. Distinguished Early Career Travel Fellowship 2019, University of Wollongong ARC Linkage Project: Robust Defenses Against Adversarial Machine Learning for UAV Systems (2023) CSIRO Next Generation Grant for AgriTwins: Bridging Cyber-Secure Emerging Technologies and Data-Centric Twin Tech for Resilient Agriculture of the Future (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding from prestigious sources including the Australian Research Council, U.S. Army Ground Vehicle Systems Centre, and Defence Science and Technology Group. He leads multi-disciplinary research teams and maintains strategic partnerships with defense and government agencies to translate theoretical advances into practical cybersecurity frameworks. His laboratory work centers around the Autonomous System Laboratory at UNSW Canberra, where he conducts experimental validation of security protocols for military ground robots and UAVs under realistic cyberattack scenarios.