Georgios Ellinas is a Professor at the University of Cyprus, specializing in optical networking, machine learning for network management, and UAV swarm coordination. His research spans critical areas such as Elastic Optical Networks (EONs) , Physical Layer Security , and Multi-Agent Reinforcement Learning for autonomous systems. Recent work includes quantile regression models for handling uncertainty in network traffic, edge-assisted collision warning systems for urban mobility, and multi-task learning architectures for drone state identification. He applies distributed estimation techniques to jamming aerial targets and explores probabilistically robust trajectory planning for autonomous vehicles. His contributions extend to fair resource allocation in optical networks, UAV swarm coordination using ROS-LoRa integration, and quantum key distribution optimization. Collaborations with researchers like Tania Panayiotou and Panayiotis Kolios highlight his interdisciplinary approach.
Maciej Zasuwa is an Associate Professor at Warsaw University of Technology's Faculty of Aeronautics and Power Engineering, specializing in Flight Simulation and Artificial Intelligence in Aerospace Engineering . As Vice-Dean for Education and Head of the Simulators Lab, he leads initiatives in simulator development and AI curriculum innovation. Ph.D. (with distinction) in 2004 for image processing-based navigation systems M.Sc. Eng. in 2000 His research spans UAV simulation, autonomous navigation, and AI applications in aerospace. Recent projects include: 2023 Boeing 737 MAX Simulator with anomaly detection algorithms 2022 AI-focused aerospace curriculum development Hyperloop simulator with motion platform/VR integration Academic achievements include: Dekaban Fellow at University of Michigan (2006-2007) Certified LabVIEW Associate Developer (2017) He mentors student teams in AI and simulation software development, with international collaborations spanning: Griffith University (Australia) University of Groningen (Netherlands) Lockheed Martin-sponsored OpUSS project
Daniel Espinosa Corbellini is a Full Professor at the University of Cadiz, affiliated with the Department of Systems Engineering and Automation. His work focuses on interdisciplinary applications of systems engineering and automation technologies. Research interests span Acoustic engineering for sustainable materials Nonlinear dynamics in marine systems Renewable energy control systems Chaos theory applications Traditional and modern architectural acoustics Marine automation technologies Recent publication trends (2002-2023) highlight expertise in Acoustic material design using agro-industrial waste Nonlinear ship dynamics control Wind turbine optimization Chaotic synchronization techniques Historical building acoustic characterization Adaptive systems for marine engineering
Kaveh Ashenayi is Chair and Professor of Electrical and Computer Engineering at the University of Tulsa , specializing in Intelligent Systems and power systems. His research focuses on integrating renewable energy systems (IRES) into utility grids through advanced power electronics and safety-assured AI controllers. Education: Ph.D., Electrical Engineering, Oklahoma State University (1986) B.S., Electrical Engineering, Oklahoma State University (1981) His work spans fault detection in UAVs , multi-port DC-DC converters , and AI-based autonomous controllers . Recent publications highlight advancements in drone fault detection, space-grade converters, and renewable energy system modeling. Scientific awards include multiple patents for innovations like the Aerial Camera System (US8199197B2), Optical pH Sensor (US7961327B2), and medical diagnostics systems. He leads the Vehicle Autonomy and Intelligence Lab (VAIL) , mentoring students in autonomous systems research, and has contributed to engineering education through curriculum development initiatives.
Dr. Sreenatha Anavatti is a Senior Lecturer at the School of Engineering and Information Technology at the University of New South Wales (UNSW), Canberra campus (Australian Defence Force Academy). With over three decades of academic experience, he has held positions at prestigious institutions including the Indian Institute of Technology, Bombay, where he served as Assistant Professor (1991-1997) and Associate Professor (1997-1998), before joining UNSW ADFA as Lecturer (1998-2001) and subsequently Senior Lecturer (2001-present). Dr. Anavatti's research spans the interdisciplinary fields of aerospace engineering, control systems, and artificial intelligence. His work primarily focuses on the application of fuzzy logic and neural networks to aerospace applications, including wing rock attitude control for flexible spacecraft, control of flexible robotic arms, and design and analysis of robust autopilots for aircraft and missiles. His research interests also encompass flight dynamics, flexible spacecraft dynamics and control, active vibration control, and practical applications of fuzzy and neural network systems. His expertise bridges theoretical control systems with practical aerospace applications, making significant contributions to both academic knowledge and real-world engineering solutions. His extensive publication record demonstrates significant contributions to the fields of UAV control systems, swarm robotics, and neuro-fuzzy applications. His recent work shows a strong trend toward integrating machine learning techniques with traditional control systems, particularly in the areas of autonomous vehicle navigation, source localization, and robust control under uncertainty. His research has evolved from foundational work in classical control systems to cutting-edge applications of deep learning and reinforcement learning in robotics and aerospace systems, with publications spanning from 1990 to the present, including numerous book chapters, journal articles, and conference papers. Dr. Anavatti has taught a wide range of courses including Flight Mechanics, Flight Control Systems, Missile Guidance, Spacecraft Dynamics, Orbital Mechanics, and Classical and Modern Control Theory. His academic journey reflects a consistent focus on advancing control system methodologies while adapting to emerging technologies in artificial intelligence and robotics.
Anders la Cour-Harbo serves as an Associate Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. His academic career spans over two decades with consistent publication output since 2000, demonstrating sustained research activity in unmanned aircraft systems and related technologies. His institutional affiliation places him within Denmark's prominent engineering research environment focused on practical technological applications. Professor la Cour-Harbo's research interests center on unmanned aircraft systems engineering, with particular expertise in drone applications for industrial settings. His work spans drone load systems, emergency landing technologies, predictive maintenance, and offshore operations. The research fingerprint shows strong emphasis on Unmanned Aircraft Engineering (100%), Load System Engineering (87%), and Unmanned Aircraft System Engineering (46%), reflecting his specialized focus areas. His projects consistently address real-world applications of drone technology, particularly in challenging environments like offshore wind farms. Analysis of his publication trends reveals a strategic focus on practical drone applications with increasing emphasis on safety systems, regulatory compliance, and industrial implementation. Recent publications (2023-2024) show strong industry relevance with applications in offshore wind turbine maintenance, predictive maintenance systems, and vision-based control technologies. His research bridges theoretical control systems with practical implementation challenges in drone operations. Teacher of the Year 2015 Teacher of the Year 2006 Professor la Cour-Harbo leads multiple significant research projects including SafeEye (Automated emergency landing for small unmanned aircraft), UAS-ability (research infrastructure for drone development), and OPAL (Offshore Delivery of Packages). He serves as chair for JARUS (Joint Authority for Rulemaking of Unmanned Systems), significantly influencing European drone legislation. His spin-off company Vixos demonstrates successful technology transfer from academic research to commercial application. The Harm threshold for unmanned aircraft in European legislation impact shows his direct contribution to shaping regulatory frameworks. His laboratory and research team focus on practical drone applications with infrastructure supporting airborne data collection and drone development. The UAS-ability project specifically created research infrastructure for drone development and airborne data collection. His collaboration network spans multiple countries, with significant European partnerships focused on advancing drone technology standards and applications. His work with JARUS places him at the forefront of international drone regulation development.
Michał Szcześniak is an Assistant Professor at the Department of Mechanical Engineering (MECHE) at the Military University of Technology. His research focuses on structural analysis, vibration analysis, UAV technology, and aeroelasticity, with applications in miniature UAV airframe structures, ground vibration testing, and autopilot systems. He has published 10 articles, achieving an h-index of 2 in Scopus and WoS. His work includes experimental modal analysis, aircraft load studies, and compressor dynamics. Research Interests: Miniature UAV design and modal analysis Aeroelasticity and surge phenomena On-board sensor integration Autopilot and propulsion systems Publications highlight contributions to mechanical engineering with a focus on experimental methods and aerospace applications. No specific grants or awards are listed, though his work aligns with defense and aerospace technologies.
Zhiqi Tang is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology's Division of Decision and Control Systems (EECS Department), supervised by Professors Jonas Mårtensson and Karl Henrik Johansson. She previously held positions as a postdoctoral researcher at Instituto Superior Técnico (IST) in Portugal and as an Invited Assistant Professor in their Department of Electrical and Computer Engineering. She holds a double Ph.D. in Automatic Control and Robotics from IST and I3S-CNRS (Université Côte d'Azur), receiving the EDSTIC Ph.D. thesis prize, and a B.S. in Electrical and Computer Engineering from the University of Macau (2015). Her research focuses on estimation, control, and decision-making in multi-agent systems, with applications in Robotics and Transportation Systems. Key areas include cooperative estimation, networked systems, nonlinear dynamics, and formation control. She teaches the Nonlinear Control (EL2620) course at KTH. Her recent work emphasizes safe platooning for autonomous vehicles, collision avoidance in UAV formations, and distributed localization under dynamic conditions. Notable contributions include barrier function-based control for CAVs and bearing-rigidity theory for multi-agent coordination. Her research bridges theoretical control frameworks with practical implementations in robotics and transportation. Awards: EDSTIC Ph.D. thesis prize (2021) Grants/Advising: Supervises postdoctoral and doctoral research in multi-agent systems Labs/Teams: Involved with KTH's Decision and Control Systems group and IST's Institute for Systems and Robotics
Assoc. Prof. Dr. Umut TİLKİ is a faculty member at the Faculty of Engineering and Natural Sciences of Middle East Technical University, specializing in Electrical and Electronics Engineering . His research spans robotics, control systems, and intelligent control mechanisms, with significant contributions to fault-tolerant control systems and autonomous vehicle navigation. Doctorate: Electrical and Electronics Engineering, Middle East Technical University (2012) Licence: Electronics and Communications Engineering, Süleyman Demirel University (2001) Research Focus: Robotics and control systems, particularly in: Fault-tolerant control systems for mobile robots and UAVs Sliding mode control and adaptive algorithms Autonomous underwater vehicle navigation Human gesture imitation via fluid swarm modeling Recent Publications (2021-2025): Focus on fault-tolerant control mechanisms for mobile robots and UAVs, trajectory tracking algorithms with sliding mode control, and fluid-based gesture imitation systems. His work demonstrates strong integration of theoretical control systems (e.g., adaptive algorithms, backstepping techniques) with practical applications in aerospace and robotics. Teaching Responsibilities: Covers academic research methods, circuit analysis, control systems, robot dynamics, digital control, and specialized field courses at both Master's and Doctorate levels.
Nikola Mišković is a Full Professor at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb. His work focuses on marine robotics and autonomous systems. Marine Robotics Autonomous Underwater Vehicles (AUV) Human-Robot Interaction Control Systems Sonar Data Processing His research explores underwater localization, formation control, and sensor integration with applications in aquaculture and environmental monitoring. Projects include EU-funded initiatives like FP7 CADDY , H2020 EXCELLABUST , and subCULTron . Key collaboration networks involve institutions in Croatia, Israel, and EU marine robotics consortia. His work demonstrates strong integration of simulation (Gazebo, LabVIEW) and real-world deployment.
Yu David Liu is a Professor at the School of Computing, State University of New York at Binghamton. He received his Ph.D. from Johns Hopkins University under Scott Smith. Research interests include Software Systems Energy Efficiency Reliability Performance Optimization Security Unmanned Aerial Vehicles Data-Intensive Software Side-Channel Attack Mitigation His work spans runtime systems, compilers, and programming languages for cross-cutting concerns. Key trends in recent publications: 2025-2024 focus on TEE security , UAV regulation , and energy-aware data processing . Earlier works explore secure caches , Green JVM methods , and SLAM system bottlenecks . Scientific Awards NSF CAREER Award (2010) Google Faculty Research Award (2011) Outstanding Research Achievement Award (2018, SUNY Binghamton CS Dept) Outstanding Research Achievement Award (2019, Watson School) Advising: Mentored 11 Ph.D. students (including 2025 Distinguished Dissertation Award winner Timur Babakol) and 14 M.S./B.S. students. Current advisees include Kerem Arikan (Ph.D.), Joseph Raskind (Ph.D.), and Huaxin Tang (Ph.D.). Grants: Funded by NSF awards 2053391 and 2215016 . Former NSF grants include 1910532, 1815949, and 1823260. Labs: Leads the programming language group at SUNY Binghamton, collaborating on UAV software (JCopter, ICRA'21), energy-efficient systems (Vesta, PLDI'24), and security (TEE-SHirT, NDSS'24).
Ayhan Kural is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University. His research focuses on neural networks, control systems, and autonomous systems, with notable contributions to visual inspection, energy management, and unmanned vehicle control. He leads projects such as 'Modeling and Control of a Pneumatic System' (2021-2022). Research Interests: Neural Network Applications in Manufacturing and Robotics Autopilot and Control Systems for Aerospace and Automotive Applications Energy Management Strategies for Electric Vehicles Feature Detection and Localization in Robotics Awards: Recipient of the TUBITAK Incentive Award in 1994, 2009, and 2014. Grants & Projects: PI of the BAP-funded project 'Modeling and Control of a Pneumatic System' (2021-2022).
Ömer Kemal Kınacı is a Professor at the Department of Shipbuilding and Ocean Engineering at Istanbul Technical University, specializing in naval architecture, vortex-induced vibrations, and computational fluid dynamics. His research spans hydrodynamic performance of marine vehicles, renewable energy systems, and AI-driven control algorithms for autonomous navigation. Core Expertise: Vortex-induced vibrations, CFD, ship maneuvering, marine renewable energy Current Projects: Digital twin platforms, collision avoidance algorithms, hydrokinetic energy farms Research Trends: Recent work focuses on integrating machine learning for ship course-keeping in waves, life cycle assessment of VIV energy systems, and modular control instrumentation for marine crafts. His projects emphasize sample-efficient reinforcement learning and techno-economic analysis of offshore energy farms. Awards & Recognition: Recipient of the Prof. Dr. M. Kemal Karhan Başarı Ödülü (2023), multiple Performance and Publication Awards , and the Doktora Özel Ödülü (2023).
Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.
Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.
