جست‌وجوی استاد و پژوهشگر

Artur Wolekمشاهده پروفایل

استادیار

• Robotics
• Control Systems
• Aerospace Engineering
• +۷ مورد دیگر

Artur Wolek is an Assistant Professor in the Department of Mechanical Engineering and Engineering Science at the University of North Carolina at Charlotte. He is a resident faculty member of the NC Battery Complexity, Autonomous Vehicle and Electrification Research Center (BATT CAVE) and an affiliate faculty member of the Charlotte Aviation Innovation and Research Institute (Charlotte AIR). His Honors Faculty status (term ending June 30, 2030) underscores his academic distinction. Wolek earned his B.S. and Ph.D. in Aerospace Engineering from Virginia Tech (2010 and 2015). He held postdoctoral roles at the U.S. Naval Research Laboratory (2015-2018) and the University of Maryland (2018-2020), and was an Adjunct Lecturer at Catholic University of America (2017-2018). He joined UNC Charlotte in 2021 and founded the Autonomous Robots and Systems Laboratory (ARSL). His research focuses on autonomous systems, including aerospace and marine robotics, optimal motion planning, multi-robot coordination, and trajectory optimization. Key areas include vehicle dynamics and control, path planning in complex environments, and adaptive data collection. His work has been supported by NSF, AFOSR, and other agencies. Wolek teaches courses in dynamics, robotics, and aerospace engineering. He is a Senior Member of AIAA and IEEE, and actively publishes over 55 peer-reviewed articles. His lab locations include Duke Centennial Hall and BATT CAVE Research Building.

Marzia Cesconمشاهده پروفایل

استادیار

• Controls and Dynamical Systems
• Learning-Based Control
• Information and Decision Systems
• +۶ مورد دیگر

Dr. Marzia Cescon is an Assistant Professor at the Department of Mechanical and Aerospace Engineering, College of Engineering, University of Houston. She holds a Ph.D. in Control Engineering from Lund University and has held postdoctoral and research roles at Harvard, the University of Melbourne, and the Sansum Diabetes Research Institute. Ph.D. in Control Engineering, Lund University (2014) Tech. Lic. in Control Engineering, Lund University (2011) M.Sc. in Automation Engineering, University of Padova (2008) B.Sc. in Information Engineering, University of Padova (2005) Her research focuses on learning-based control systems for biomedical applications, aerospace, and multi-agent systems. Key areas include data-driven modeling , reinforcement learning , and safe autonomous systems . Her recent publications emphasize predictive control algorithms for diabetes management (e.g., artificial pancreas systems) and adaptive control in aerospace applications. Keywords include machine learning , control engineering , and biomedical systems . NSF CAREER Award (2024) Cornelis Drebbel Faculty Fellowship (2023-2024) Diabetes Technology Society Awards (Bronze, Silver, Gold as advisor) Dr. Cescon has secured over $1.3 million in grants from the National Science Foundation , NASA , AFRL , and industry partners. She leads projects on real-time assurance for autonomous systems and digital twins for physiological modeling.

• Machine Learning
• Smart Grids
• Internet of Things (IoT)
• +۳ مورد دیگر

Assistant Professor in the Faculty of Engineering and Science at University of Agder, Norway. Active researcher in machine learning, smart grids, and wireless communication systems with specific focus on energy applications and IoT technologies. Current institution: University of Agder Email: surender.redhu@uia.no Research Interests: Specializes in applying advanced machine learning techniques to energy systems and IoT networks. Works on electricity price forecasting models, smart home energy optimization with cognitive data fusion, and wireless sensor management in constrained environments. Recent Article Trends: 15 publications from 2021-2023 show consistent focus on temporal-spatial neural networks for energy prediction, UAV-based IoT powering strategies, and biomedical signal interpretation with deep learning systems.

• Mechanical Engineering
• Systems Engineering
• Multi-disciplinary Optimization
• +۷ مورد دیگر

John Salmon is an Associate Professor in the Mechanical Engineering department at Brigham Young University's College of Engineering. He holds a B.S. and M.S. in Electrical Engineering from the University of Calgary and Utah State University respectively, followed by an M.S. and Ph.D. in Aerospace Engineering from Georgia Institute of Technology. Prior to his academic career, he worked for four years as a Research Engineer at the Aerospace Systems Design Laboratory collaborating with industry and government partners including NASA, Lockheed Martin, and General Electric. His research spans multiple interdisciplinary domains including: systems engineering and design integration, multi-disciplinary optimization, operations research, visual and data analytics, modeling/simulation, multi-agent decision making, sports analytics, virtual reality, and uncertainty analysis. Current projects include the Good Idea or Bad Idea initiative exploring innovative engineering solutions. Analysis of his recent publications reveals strong focus on three primary clusters: (1) Human-robot collaboration and soft robotics control strategies, (2) Optimization techniques for autonomous aerial systems, and (3) Data-driven sports analytics frameworks. His work consistently combines theoretical modeling with practical applications in aerospace, robotics, and sports engineering. Dr. Salmon maintains an active advising program with 4 current MS students (Jonathan Sadler, Carsten Christensen, Landon Willey, Ryan Day) and 10 graduated advisees since 2016. He teaches core mechanical engineering courses including ME 273 (Scientific Computing), ME 335 (Dynamic Systems), ME 578 (CAD/CAM), and ME 579 (Global Product Development).

Stefanos Fasoulasمشاهده پروفایل

استاد

• Space Systems Engineering
• Aerospace Engineering
• Plasma Wind Tunnel Testing
• +۳ مورد دیگر

Stefanos Fasoulas is a Professor of Space Transportation Technology and Managing Director of the Institute of Space Systems at the University of Stuttgart. He has held leadership roles including Dean of Faculty 6 - Aerospace Engineering and Geodesy and has been instrumental in advancing research in aerospace engineering, plasma dynamics, and orbital aerodynamics. Education: Studied Aerospace Engineering at the University of Stuttgart, earning his diploma (1990) and PhD (1995). His research spans space systems engineering, gas-surface interaction modeling, and life support technologies. Recent work focuses on machine learning for scattering kernels, drag-based collision avoidance, and heterogeneous catalytic reactions in spacecraft environments. Key trends in his publications include: Innovations in DSMC and PICLas simulations for reentry analysis Development of atmosphere-breathing propulsion systems Environmental impact assessments of launchers and space debris He has acquired numerous research grants, particularly for projects like DISCOVERER and planetary sunshade concepts. His leadership extends to founding roles in the Competence Center Aerospace Saxony/Thuringia and the University Center for Aerospace at TU Dresden.

Riccardo Bevilacquaمشاهده پروفایل

استاد

• Spacecraft Formation Flight
• Space Robotics
• Warhead Fragment Fly-Out Predictions
• +۳ مورد دیگر

Riccardo Bevilacqua is a Professor of Aerospace Engineering and Interim Associate Dean at Embry-Riddle Aeronautical University. He holds a Ph.D. in Applied Mathematics (2007) and M.Sc. in Aerospace Engineering (2002) from Sapienza University of Rome. Research focuses: Spacecraft formation flight, space robotics, warhead fragment prediction Key methodologies: Machine learning, adaptive control, functional analysis His recent publications address machine learning for spacecraft deorbiting, flexible structure modeling, and hypervelocity fragment propagation. Notable projects include CubeSats for advanced control testing and NASA collaborations. Scientific Awards : Air Force/ONR Young Investigator Awards Dave Ward Memorial Lecture Award Air Force Summer Fellowships (multiple) As an educator, he teaches graduate-level courses like AE 800: Dissertation and AE 700: Thesis Research . Leads the Advanced Autonomous Multiple Spacecraft Laboratory (ADAMUS).

Torbjørn Cunisمشاهده پروفایل

استادیار

• Nonlinear Systems Theory
• Mathematical Optimization
• Optimization-Based Control
• +۳ مورد دیگر

Torbjørn Cunis is a Temporary Academic Councillor / Group Leader at the Institute of Flight Mechanics and Flight Control of the University of Stuttgart. He concurrently serves as an Adjunct Assistant Research Scientist at the University of Michigan and is a member of the Young ZiF at Bielefeld University's Center for Interdisciplinary Research. His expertise lies in nonlinear systems theory, mathematical optimization, and aerospace engineering applications. Education : B.Sc. Computer Science (2013) & Aerospace Computer Engineering (2014), University of Würzburg M.Sc. Automation Engineering (2016), RWTH Aachen University Ph.D. in Systems & Control (2019), ISAE-Supaéro, Toulouse Research Interests focus on optimization-based control strategies, nonlinear system analysis, and their application to aerospace systems. Key areas include upset recovery in aircraft, model-predictive control, and sum-of-squares optimization techniques. His work bridges theoretical systems theory with practical implementations in unmanned aerial systems and flight dynamics. Teaching includes courses on multi-variable control, nonlinear optimization, and systems-theoretical methods for flight control. Professional Affiliations include AIAA, IEEE, and VDI. Research Contributions span over 50 publications, with recent trends emphasizing real-time control algorithms, stability analysis of optimization methods, and cooperative target allocation in aerospace systems. His work often integrates multidisciplinary approaches to solve complex control challenges in aviation and robotics. Lab Affiliations include the Vehicle Optimization Lab (University of Michigan), Automation & Control Group (Aalborg University), and Micro Air Vehicle Lab (Delft University of Technology).

Ayhan Kuralمشاهده پروفایل

دانشیار

• Neural Networks
• Autopilot Systems
• Cement Industry Processes
• +۳ مورد دیگر

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).

• Autonomous Navigation for Robots
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Jesús Tordesillas Torres is an Assistant Professor in the Department of Electronics, Automation, and Communications at the School of Engineering, Comillas Pontifical University. He joined the institution in June 2024, bringing extensive experience from postdoctoral research at MIT and ETH Zurich, and prior academic training from MIT and the Polytechnic University of Madrid. Education: PhD in Aeronautics and Astronautics, Massachusetts Institute of Technology (MIT), 2022 MS in Aeronautics and Astronautics, MIT, 2019 MS in Industrial Engineering, Polytechnic University of Madrid, 2019 BS in Industrial Engineering, Polytechnic University of Madrid, 2016 His research focuses on robotics, particularly autonomous navigation, trajectory planning, and optimization under uncertainty. He integrates deep learning and control theory to develop systems capable of safe, fast, and perception-aware navigation in dynamic and unknown environments. His work spans aerial and ground robots, multiagent systems, and challenging terrains, with strong emphasis on real-world deployment and robustness. The recent publications highlight a consistent trend in trajectory optimization, perception-aware planning, and multiagent coordination. His work bridges theoretical advances in optimization and learning with practical robotic applications, especially in safety-critical and communication-constrained scenarios. Scientific Awards: Best Paper Award, IEEE ICRA 2023 1st Place, Urban Circuit, DARPA Subterranean Challenge (2020) 2nd Place, Tunnel Circuit, DARPA Subterranean Challenge (2021) Finalist, Best Paper, IEEE IROS 2019 Jesús Tordesillas Torres has been actively involved in research grants and projects, including the ADS FERRARI WP-2 Project funded by Airbus Defence and Space (2025–2025). He mentors students and collaborates with leading institutions such as MIT, ETH Zurich, and the University of Pennsylvania. He also serves as a reviewer for top-tier journals including IEEE Transactions on Robotics , International Journal of Robotics Research , and IEEE Robotics and Automation Letters , as well as major conferences like ICRA and IROS. He leads and participates in research teams focused on autonomous systems, with affiliations to the Institute for Research in Technology (IIT) at Comillas. His invited talks at ETH Robotics Summer School and University of Pennsylvania reflect his growing influence in the robotics community.

• Aerospace Engineering
• Computational Methods
• Control Systems
• +۳ مورد دیگر

Prof. İbrahim Özkol, a distinguished faculty member at Istanbul Technical University, serves in the Department of Aeronautical Engineering. With over 115 research outputs and a Scopus h-index of 23, his work spans aerospace propulsion systems, fractional calculus modeling, and advanced control algorithms. Research Interests: Fractional-order modeling of aerospace systems Green monopropellant thruster optimization Flight control systems and stability analysis Lightning-induced structural damage modeling Reinforcement learning for flight envelope protection Scientific Achievements: Recipient of the 2015 Boeing Career Award PI for 20+ research projects (2013-2025) 115+ peer-reviewed publications His recent work focuses on stealth maneuver generation for non-stealth aircraft, entropy generation in rotating flows, and fractional dynamics in mechanical systems. Collaborations extend across academia and industry, particularly with TTO (Turkish Aerospace Industries) and TUSAŞ.

• Aerospace Engineering
• Robotics
• Control Systems
• +۴ مورد دیگر

Ahmet Talha Çetin is a Researcher at the Aviation Institute of Istanbul Technical University . His work focuses on aerospace engineering, robotics, and control systems, particularly in applications involving drones, quadrotors, and satellite attitude control. He has contributed to both theoretical advancements in optimal control algorithms and practical implementations of multi-drone systems and guidance strategies. Primary Affiliation: Istanbul Technical University, Aviation Institute Research Area: Control Systems, Trajectory Optimization, Autonomous Systems Research Interests : Çetin's research spans aerospace engineering and robotics, with a focus on drone navigation , stochastic optimal control , and attitude control systems . His work addresses challenges in autonomous guidance, uncertainty minimization, and multi-drone coordination. He applies mathematical frameworks like entropy minimization and model predictive control to real-world problems in aviation and telecommunications. Publication Trends : Over 2023-2025, Çetin's research output demonstrates a strong emphasis on drone engineering , quadrotor dynamics , and control optimization . His contributions include both theoretical advancements in non-Gaussian uncertainty handling and practical implementations like cold gas thruster systems for satellites. Collaborations with researchers like E. Koyuncu and İ. Özkol are prominent across his publications. Advising & Collaborations : No explicit student advising information is available. He collaborates extensively with Istanbul Technical University's aerospace engineering team on projects involving drone systems, satellite control, and network virtualization technologies.

Baichun Xiaoمشاهده پروفایل

استاد

• Operations Management
• Revenue Management
• Service Management
• +۳ مورد دیگر

Dr. Baichun Xiao serves as Senior Professor of Management at Long Island University's College of Management, where he has been faculty since 1998 and chaired the Department of Management since 2007. He concurrently holds visiting professorships at Peking University, Tsinghua University, and the Chinese University of Hong Kong, directing significant research initiatives in China's service sector. His educational credentials include: B.S. in Mathematics from Nanjing University, China M.B.A. from Catholic University of Leuven, Belgium Ph.D. in Management Science from the Wharton School, University of Pennsylvania Dr. Xiao's research pioneers Operations Management, Revenue Management, Service Management, and Optimization with groundbreaking work in dynamic pricing models, unconstraining demand forecasting, and perishable product management. His methodologies address critical industry challenges in airline seat allocation, sponsored search advertising, and high-tech product lifecycle management, emphasizing risk-sensitive decision frameworks applicable across global markets. His publication trajectory reveals consistent innovation in revenue management systems, evolving from foundational airline applications (1990s) to contemporary digital marketplace solutions (2010s). Recent work integrates Chinese market dynamics with global optimization theory, while maintaining rigorous mathematical approaches in top journals like Management Science and Operations Research . His scholarly recognition includes: Peking University's Outstanding Teaching Award (2010-2012) LIU Post's Professor of the Year (2009) Fulbright Specialist Program approval (2011-2015) Multiple National Natural Science Foundation of China grants Wharton School Outstanding Research Fellowships (1986, 1987) As Department Chair, he leads 12 research scholars in curriculum development while securing industry partnerships with Continental Airlines, Sichuan Airlines, and Mengniu Dairy. His Spanish government-funded research at MIT-Zaragoza Logistics Center exemplifies cross-border academic collaboration. Previously, he directed Sichuan University's Service Management Institute (2000-2005) and Southwest Jiaotong University's Center for Service Operations Management (2005-2010), establishing China's first revenue management research hubs for aviation and service industries.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

Joao Pedro Leal Abalada de Matos Carvalho is a researcher at Lusofona University 's School of Communication, Architecture, Arts and Technologies , focusing on Artificial Intelligence, Machine Learning, and Unmanned Aerial Vehicle systems. He contributes to projects like ANTIDOTE (AI Attack & Defense) and REMARKABLE (Rural Environmental Monitoring). Active in AI-driven environmental monitoring and cyber-physical systems Collaborates with Horizon Europe and Marie Skłodowska-Curie Actions Key research areas: Deep Learning, Federated Learning, High-Energy Physics His work involves LoRaWAN engineering , satellite data processing , and hydroelectric forecasting models , with 55 scientific publications and 382 h-index citations. Current collaborations span Europe and Brazil , with active projects in smart healthcare , AI literacy , and radiation-hardened electronics for CERN experiments.

Morten Ottestadمشاهده پروفایل

مدرس ارشد

• Robotics
• Biomechatronics
• Artificial Intelligence
• +۴ مورد دیگر

Morten Ottestad serves as a Senior Lecturer in the Department of Engineering Sciences at the University of Agder, Norway. His research spans multiple interdisciplinary domains within engineering, with particular focus on robotics, biomechatronics, and control systems. He maintains an active research profile with publications spanning from 2009 to 2024, demonstrating sustained scholarly contribution to his fields. Dr. Ottestad's research interests center on Biomechatronics and Collaborative Robotics , with significant contributions to prosthetics and orthotics technology. His work integrates Artificial Intelligence with practical engineering applications, particularly in medical device development. Recent publications demonstrate expertise in open-source hardware design for medical applications and virtual reality rehabilitation systems. He has also made substantial contributions to hydraulic systems research, particularly in oil/water separation technology for petroleum applications, and has published extensively on multicopter/UAV design and control systems. His publication trends reveal a strategic evolution from traditional engineering domains like hydraulic systems and petroleum engineering toward more contemporary areas including biomechatronics, prosthetics, and educational applications of robotics. This trajectory demonstrates both technical versatility and responsiveness to emerging technological needs in healthcare and education sectors. Dr. Ottestad actively contributes to engineering education through innovative teaching frameworks, particularly in mechatronics education. His research groups include Artificial Intelligence, Biomechatronics and Collaborative Robotics and Robotics and automation , indicating leadership in these specialized laboratory environments where theoretical concepts are translated into practical applications.

• Artificial Intelligence
• Evolutionary Algorithms
• Machine Learning
• +۵ مورد دیگر

Lars Mehnen serves as a Senior Lecturer and Researcher at the University of Applied Sciences Technikum Wien (UAS Technikum Wien) in Austria, where he has been teaching since 2019 in Computer Science and previously from 2003-2019 in Biomedical Engineering. His academic career includes significant roles at Vienna University of Technology as University Assistant (2004-2007) and Research Assistant (1998-2002), along with leadership positions in major international space initiatives including QB50 (2010-2013), GENSO (2006-2010), and SSETI (1999-2006). TU-Wien: Dipl.Ing. in Computer Engineering and Medical Informatics Dr. Techn. from Institute for Fundamentals and Theory of Electrical Engineering and Institute of Technical Mathematics Mehnen's research spans multiple domains with particular expertise in Artificial Intelligence, Evolutionary Algorithms, and Sensor Technology. His work in explainable and non-parametric evolutionary algorithms represents cutting-edge contributions to AI methodology. In biomedical engineering, he has developed innovative magnetoelastic skin curvature sensors for cardiovascular monitoring and other medical applications. His teaching portfolio is exceptionally diverse, covering Statistics (parametric and non-parametric), Artificial Intelligence, Aerodynamics (particularly for sports equipment), Physics for game engineering, and extensive programming topics including Java, C/C++, Python, and functional programming languages. His publication record from 2001-2024 shows a clear evolution from early work on magnetostrictive bilayer sensors toward more recent applications of machine learning in biological classification, medical diagnostics, and educational technology. The 2024 publication on ChatGPT's diagnostic accuracy for medical conditions demonstrates his engagement with the latest AI developments. His research consistently bridges theoretical computer science with practical applications in healthcare, sports engineering, and space technology. Mehnen has been deeply involved in European collaborative projects throughout his career, including QB50 (EC F7), GENSO (ESA initiative), and B-Sens (EC-Project in 5th framework). These projects involved coordination with numerous universities and institutions across Europe, demonstrating his ability to lead international research collaborations. His work on the SSETI Express satellite project resulted in the successful launch of a micro-satellite at the end of 2005. At UAS Technikum Wien, Mehnen contributes to curriculum development across multiple domains including statistics, AI, programming, and physics. His research on paraglide control systems demonstrates application of his expertise to sports safety technology, while his recent work in teaching analytics shows commitment to improving educational outcomes through data-driven approaches.