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Pieter van Goor is a Research Fellow at the Australian National University (ANU), affiliated with the School of Engineering and the Systems Theory and Robotics (STR) group. He holds a PhD in Control Theory (completed 2022) and dual bachelor's degrees (BEng/BSc, 2018). His research focuses on equivariant systems theory, state estimation, and robotics applications. Key contributions include equivariant observer design, Lie group-based control, and geometric data fusion. Education: Bachelor of Engineering (Research & Development) (Honours) in Mechatronics (ANU, 2018) Bachelor of Science in Mathematics (ANU, 2018) PhD in Control Theory (ANU, 2022) Research Interests: Equivariant systems theory, nonlinear control, robotics applications, state estimation on Lie groups, sensor fusion, and geometric control methods. His work emphasizes symmetry exploitation in filter design and observer construction for systems with inherent geometric structures. Grants & Collaborations: Active collaborations include work with Robert Mahony and institutions like the IEEE. Research spans theoretical frameworks (e.g., equivariant filters) and applied systems (e.g., ArduPilot autopilot, event cameras). Labs/Teams: Member of the Systems Theory and Robotics (STR) group at ANU, focusing on advanced control theory and robotics.

• Robotics
• Control Theory
• Equivariant Systems Theory
• +5 more

Baris Fidan is a Professor in Mechanical & Mechatronics Engineering at the University of Waterloo, with cross appointments in System Design Engineering and Electrical & Computer Engineering. He is a senior member of IEEE and AIAA. His research focuses on cooperative/adaptive control, autonomous systems, multi-agent networks, and vehicular control applications. He leads the Cooperative & Adaptive Mechatronic Systems (CAMS) Lab, which develops control strategies for autonomous vehicles, robotic systems, and intelligent transportation. Education: PhD in Electrical Engineering, University of Southern California (2003) Masters in Electrical & Electronic Engineering, Bilkent University (1998) Bachelor's in Electrical & Electronic Engineering & Mathematics, Middle East Technical University (1996) Research Interests: His work spans adaptive control theory, sensor networks, multi-agent coordination, autonomous vehicle networks, and biomedical systems control. He emphasizes practical applications in intelligent transportation, robotic navigation, and distributed system optimization. Grants & Projects: He has led major grants including NSERC Discovery Programs on cooperative mechatronic systems and 3D autonomous vehicle coordination. Industrial projects include autonomous driving strategies, vehicle control optimization, and high-precision gear manufacturing technologies. Labs/Teams: Directs the CAMS Lab, which collaborates on projects involving distributed motion planning, sensor localization, and autonomous vehicle networks. Current projects address challenges in urban autonomous driving, cooperative robotic systems, and resilient sensor networks.

• Control Systems
• Autonomous Vehicles
• Robotics
• +5 more

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.

• Autonomous Systems
• Nonlinear Control
• Cyber-Physical Systems
• +5 more

Nikolce Murgovski is an Assistant Professor at Chalmers University of Technology, specializing in Mechatronics . He focuses on electric and hybrid vehicle energy management , autonomous driving systems , and optimization algorithms for powertrain design. His work bridges control theory , battery technology , and transport electrification . Current projects include CHARGE (2023–2026) for charging and trip planning , and EcoPilot (2022–2026) for energy-efficient autopilot development. Collaborates with institutions like Volvo Cars , Swedish Electromobility Centre , and VINNOVA on autonomous vehicle control and thermal energy systems . His recent publications emphasize convex optimization , eco-driving strategies , and collision avoidance in complex environments. He has contributed to tools like CONES for electromobility studies and has led research on hybrid powertrains and predictive energy management .

• Control Systems
• Electric Vehicles
• Hybrid Electric Vehicles
• +4 more

Professor Jessica Fong is an Assistant Professor of Marketing at the University of Michigan Ross School of Business. Her work focuses on applying theoretical models and experimentation to analyze marketing data, with an emphasis on digital platform design, consumer behavior, and information economics. She holds a PhD from Stanford University and a BS in Computer Science from Caltech, and previously worked in product management at Fitbit. Education: PhD in Marketing, Stanford University (2019) BS in Computer Science, California Institute of Technology (2014) Her research interests include two-sided markets, platform mergers, consumer responses to misinformation, and the intersection of neuroscience with consumer choice. Her work has been published in top journals like Marketing Science and Management Science , and recognized with awards such as the Paul E. Green/Vithala R. Rao Award Finalist (2024). Recent articles highlight her exploration of network effects in platform mergers, the impact of truth disclosure in consumer finance, and the role of negative feedback in social media content generation. She actively contributes to academic discourse through blog posts, podcasts, and media engagements. Awards: Paul E. Green/Vithala R. Rao Award Finalist (2024) Her research bridges empirical analysis with practical implications for firms, addressing topics like suggested pricing strategies, product ranking effects, and pandemic-era social media usage patterns. She collaborates with interdisciplinary teams, integrating neuroscience insights into consumer behavior models.

• Marketing
• Digital Platforms
• Consumer Behavior
• +4 more

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.

• Robust Control
• Soft Robotics
• Switched Neural Networks
• +3 more

Dr. Fendy Santoso is a leading researcher and Cyber-Physical Lead at the Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Australia. He also holds a Visiting Fellow position at the School of Engineering and Technology, UNSW Canberra, and has held visiting roles at the University of Cambridge and Cranfield University. His work bridges cybersecurity, AI, and autonomous systems, with significant impact in UAV security and cyber-physical resilience. Education: PhD in Electrical Engineering, University of New South Wales (Awarded: 21 Jun 2012) Master of Electrical and Computer Systems Engineering, Monash University (Awarded: 07 Jun 2007) Dr. Santoso’s research focuses on adversarial machine learning, UAV security, intrusion detection in robotic systems, and cyber-secure digital twins. His work integrates AI, control theory, and cybersecurity to enhance the resilience of autonomous systems. He has pioneered research in securing ROS-based platforms and defending against GPS spoofing and DoS attacks in unmanned vehicles. His recent publications (2020–2025) highlight a strong trend in applying deep learning, fuzzy logic, and physics-informed models to detect and mitigate cyberattacks in UAVs and UGVs. Key themes include intrusion detection systems, secure digital twins for agriculture, and intelligent transportation systems enabled by drones. His work is frequently published in IEEE Transactions and top-tier conferences. Scientific Awards and Grants: Vice-Chancellor’s Distinguished Early Career Travel Fellowship, University of Wollongong (2019) ARC Linkage Project Grant (LP230100083) on adversarial machine learning for UAVs (2024) CSIRO-funded AgriTwins project on cyber-secure digital twins for agriculture (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding and actively supervises postgraduate students. He serves as a reviewer for the Australian Research Council and technical program committees of major AI and engineering conferences. His collaborative work spans defence organisations like DSTG and the U.S. Army Ground Vehicle Systems Centre, as well as international academic institutions. He is a Senior Member of IEEE and leads research in labs focused on cyber-physical systems, autonomous robotics, and AI-driven security frameworks. His team develops real-time detection tools for cyberattacks on military and agricultural robots, contributing to critical infrastructure resilience.

• Cybersecurity
• Artificial Intelligence
• Autonomous Systems
• +12 more

Dr. Alireza Ahmadian Fard Fini is an Associate Professor at the University of Technology Sydney within the Faculty of Design and Society. With over 23 years of experience in the construction industry, his work bridges professional practice, teaching, and research, focusing on construction automation and workforce management . His research aims to enhance construction productivity through digital technologies and personalized workforce solutions. Education: PhD, University of New South Wales, Australia MEng, University of Calgary, Canada MSc, Iran University of Science and Technology, Iran BSc, Shiraz University, Iran Dr. Fini’s research spans construction automation (off-site processes, digital integration) and workforce management (skill development, safety). His recent publications highlight deep learning applications for progress monitoring, drone technology in material handling, and sustainable practices in timber construction. Collaborative projects with industry partners emphasize data analytics and cloud-based deployment for practical outcomes. Scientific grants include the CRC-P Industrialization of Nail-Laminated Timber , Beverly Homes’ Industrialization of Dowel Laminated Timber , and Edwards Scholarship for prefabricated timber systems . His teaching portfolio includes Design Team Management , Site Establishment , and Time Management at UTS. Future work will focus on standardizing timber panel stability , expanding UAV applications , and aligning mental health research with policy frameworks.

• Construction Automation
• Workforce Management
• Digital Technologies in Construction
• +3 more

Samer M. Khanafseh is a Research Associate Professor in the Department of Mechanical, Materials, and Aerospace Engineering at Illinois Institute of Technology (IIT), affiliated with the CARNATIONS research group. He holds a Ph.D. in Mechanical and Aerospace Engineering from IIT (2008), an M.S. from IIT (2002), and a B.S. in Mechanical Engineering from Jordan University of Science and Technology (2000). His research focuses on high-accuracy navigation algorithms, cycle ambiguity resolution, fault monitoring, and robust estimation techniques. Key areas include GNSS spoofing detection, integrity risk bounding, and sensor integration for aerospace applications. He is a member of the Institute of Navigation (ION) and the American Institute of Aeronautics and Astronautics (AIAA). His publications span navigation integrity, fault-tolerant systems, and GNSS applications, with notable work on Bayesian fault-tolerant estimators and GNSS spoofing attack detection using aircraft autopilot responses. His work bridges theoretical modeling with experimental validation, such as testing ground-based augmentation systems (GBAS). Awards: Best-of-Session Paper Award, Institute of Navigation (2006) Institute of Navigation 2011 Early Achievement Award Grants/Advising: Active involvement in CARNATIONS research initiatives, though no formal advisee list is provided. Labs/Teams: CARNATIONS (Context-Aware Navigation and Optimal Sensing) research group at IIT.

• Navigation Systems
• Aerospace Engineering
• Sensor Integration
• +5 more

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.

• Thin-Walled Composite Beams
• Aeroelastic Analysis
• Hypervelocity Impact
• +5 more

Ramazan Yeniçeri is a Lecturer at Istanbul Technical University's Department of Aeronautical Engineering. His research focuses on Unmanned Aerial Vehicles (UAVs), Field Programmable Gate Arrays (FPGAs), and computational fluid dynamics, with applications in hardware acceleration and autonomous flight systems. Academic Rank: Lecturer University: Istanbul Technical University Department: Aeronautical Engineering Research Interests: Yeniçeri's work bridges aerospace engineering and computer science, emphasizing: FPGA-based hardware acceleration for aerospace systems UAV communication networks (FANETs) and formation flight Dynamical modeling for 6-DoF systems Autopilot software and real-time operating systems Scientific Awards: He has received the BOEING Academic Work Encouragement Award (2017) and the Best Doctoral Thesis Award (2015) . Project Leadership: As Principal Investigator (PI), he leads projects like: "IHA Kayıt, Takip, Kontrol ve Hava Trafik Yönetim Sistemi" (2024–2025) "FPGA Tabanlı 6DoF Dinamik Hızlandırıcı Tasarımı" (2024) "EU Sürü İHA" (2020–2022) His recent publications highlight trends in UAV communication, FPGA acceleration, and multi-sensor tracking.

• Unmanned Aerial Vehicles (UAVs)
• Field Programmable Gate Arrays (FPGAs)
• Computational Fluid Dynamics
• +6 more

Raziye Tekin is an Associate Professor from Turkey and currently serves as a Technical Lead at ROKETSAN Inc. in the defense industry. She holds a doctoral degree from the Technical University of Munich (TUM) with a thesis titled 'A New Design Framework for Impact Time Control' and has conducted research at the German Aerospace Center. Her academic roles include co-chair of the European Guidance, Navigation and Control Technical Committee (TC), membership in the AIAA GNC TC, and an associate editor position for IEEE Transactions on Aerospace and Electronics Systems. Education: Bachelor's in Control Engineering from Istanbul Technical University (2006) Master's in Electrical and Electronics Engineering from Middle East Technical University (2010) PhD from TUM (2018) Research interests focus on missile guidance and control systems, including trajectory shaping, impact-angle control, thrust vector control, and vertical launch systems. She has contributed to both academic and industrial applications of aerospace sciences, integrating theoretical frameworks with practical defense technologies. Scientific Awards: Best Thesis Award (Master’s, Middle East Technical University) Research and Development Awards from ROKETSAN and ASELSAN Top Ten Most Read Article in AIAA Journal of Guidance, Control, and Dynamics Her work emphasizes robust autopilot design and trajectory optimization, with grants including the Rudolf Diesel Industry Fellowship at TUM-IAS. She collaborates across disciplines to address challenges in advanced air mobility, particularly through her Focus Group on 'Smart GNC for Advanced Air Mobility.'

• Aerospace Engineering
• Guidance, Navigation, and Control (GNC)
• Flight Dynamics
• +3 more

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +4 more

Matthias Heller is a Professor at Technische Universität München (TUM) and holds the title of Honorary Professor for Highly Augmented Aircraft Systems. He is affiliated with the Department of Flight Mechanics & Performance and has been a Rudolf Diesel Industry Fellow at TUM-IAS since 2010. His research focuses on flight dynamics, robust control systems, and handling qualities analysis for advanced aircraft configurations. Heller has extensive industry experience with Airbus Defence & Space, where he contributed to flight control system development and stability analysis of hypersonic vehicles. Education: 1987–1992: Aerospace Engineering, TUM (Diplom Ingenieur) 1999: Dr.-Ing. (summa cum laude) from TUM, Dissertation: “Analysis and Robust Control of the Lateral Dynamics of Hypersonic Vehicles” Research Interests: Flight dynamics modeling & simulation Robust flight control system design Pilot-in-the-loop oscillation (PIO) prevention Handling qualities assessment for autonomous systems Stability analysis of innovative aircraft configurations Key Achievements: Willy Messerschmitt Prize (2001) for contributions to flight dynamics research Founder of the Focus Group “Aircraft Stability and Control” at TUM-IAS Leading work on UAV control systems and hybrid flight control architectures Labs & Collaborations: Active in the Safe Adaptive Dependable Aerospace Systems (SADAS) Focus Group, focusing on dynamics and control of autonomous flight systems. Previously led the Aircraft Stability and Control group.

• Flight Mechanics
• Flight Control Systems
• Aerospace Engineering
• +3 more

Niina Mallat is a Research Fellow at Aalto University's Department of Information and Service Management. Her research focuses on autonomous systems, mobile technologies, and their societal impacts, particularly in transportation and financial services. She holds a Doctoral degree (2007) and Master's degree (2001) in Business and Economics from the Helsinki School of Economics. Her work addresses themes such as ethical considerations in automation (e.g., drones, Tesla Autopilot), sustainable mobility solutions (autonomous buses), and mobile payment adoption. Key areas include consumer trust in emerging technologies, use context analysis for service acceptance, and future research agendas in information systems. Her research outputs span over two decades, with notable contributions to mobile ticketing, payment systems, and voice-activated technologies. Collaborations emphasize interdisciplinary approaches, linking technical innovation with human behavior and policy implications. Despite prolific contributions, no explicit awards are listed in the provided texts. Advising and grants details are not specified, though her extensive publication record suggests active involvement in guiding research projects. No lab or team affiliations are explicitly mentioned.

• Information Systems
• Autonomous Vehicles
• Mobile Technologies
• +5 more