Find Academic Supervisors

• Electrical Engineering
• Energy Efficiency
• Motor Design
• +4 more

Fernando J. T. E. Ferreira is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Coimbra since 2014. He has been a researcher at the Institute of Systems and Robotics since 1998 and previously served as Professor and Head of Department at the Engineering Institute of Coimbra (2001-2014). His career focuses on electrical engineering, energy efficiency, and motor design. University: University of Coimbra Department: Electrical and Computer Engineering Institution: Institute of Systems and Robotics Research Interests: Fernando's work centers on improving electric motor efficiency through winding configurations, fault diagnosis, and energy regeneration systems. He has explored voltage unbalance tolerance, motor reliability, and thermal management solutions for industrial applications. Article Trends: His recent publications (2016-2020) analyze motor efficiency optimization via winding redesign, fault detection algorithms, and energy recovery systems. Key themes include IEC standards compliance, thermal management, and predictive maintenance techniques. Contributions: With over 150 publications and 3000+ citations, Ferreira has contributed to IEEE journals and conferences on topics ranging from switched reluctance motors to photovoltaic power systems. He collaborates with Aníbal T. de Almeida and other engineers on industrial efficiency projects.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +9 more

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

• Computer Vision
• Image Processing
• Photometric Stereo
• +12 more

Vasileios Argyriou is an academic researcher affiliated with Kingston University, with extensive contributions in computer vision, image processing, and AI applications in IoT, healthcare, and smart agriculture. His work spans photometric stereo, motion estimation, federated learning, and UAV-based remote sensing. Research Interests: His research focuses on developing advanced computer vision techniques including photometric stereo for 3D reconstruction, deep learning for anomaly detection, federated learning for privacy-preserving AI, and AI-driven solutions for smart farming and healthcare. He explores motion estimation, facial recognition, and synthetic data generation for training robust models. The recent publications (2024–2025) highlight a strong trend toward applying machine learning in real-world systems—particularly federated learning for intrusion detection, UAV-based agricultural monitoring, 5G security, and medical imaging. His work integrates computer vision with IoT, wireless communications, and edge computing, demonstrating interdisciplinary innovation. Scientific Contributions: Author of a book on image and video registration with quality metrics. Extensive publication record in top journals including IEEE Transactions, Sensors, and Pattern Recognition. Pioneering work in photometric stereo, motion estimation using phase correlation, and GAN-based face reenactment. He has advised or collaborated with numerous researchers across fields, though specific student names are not listed. His work often involves large-scale data analysis, simulation frameworks, and real-time systems. He is involved in projects related to smart cities, precision agriculture, and autonomous systems. Laboratories and Teams: His collaborations suggest involvement with research groups focused on intelligent systems, computer vision, and IoT at Kingston University and beyond, particularly with Panagiotis Sarigiannidis, Thomas Lagkas, and others in networking and AI.

Jürgen BechtloffView profile

Professor

• Mechatronics
• Automation Technology
• Digital Production
• +3 more

Prof. Dr.-Ing. Jürgen Bechtloff serves as Professor of Measurement, Control and Regulation Technology at the South Westphalia University of Applied Sciences since 1998. He has held significant administrative roles including Founding Dean of Mechanical and Industrial Economics (2002-2004), Dean of Engineering and Economics (2004-2012), and Head of Scientific Center for Dual Studies and Continuing Education (2012-2019). His academic career spans industrial experience at Klöckner-Moeller GmbH (1992-1998) and academic research at TU Braunschweig (1987-1992). Education: Diplom from TU Braunschweig (1987), Dr.-Ing. from TU Braunschweig (1992) Laboratory: Operates the TransferFactory Industry 4.0 demonstrator since 2013 Research Focus: Industrial automation systems, particularly in Industry 4.0 implementation, Digital Production methodologies, and Mechatronic Systems simulation. His work emphasizes practical solutions for real-world challenges in: IoT gateway and platform integration Feasibility studies and implementation support Control engineering and measurement technology Electronics cam systems for motion control Robotic programming and interpolation methods Publication Trends: 15 most recent publications (2000-2020) demonstrate consistent focus on Industry 4.0 implementation, Mechatronics , and Digital Production technologies. His work bridges theoretical concepts with practical applications through case studies and demonstrator projects like the TransferFactory system. Teaching Contributions: Coordinates courses in Mechatronic Systems and Simulation and Digital Production for both bachelor and master programs, with emphasis on project-oriented learning and practical implementation of automation concepts using modern tools like MATLAB/Simulink. Technology Transfer: Provides services in measurement technology (data processing/visualization), control engineering (simulation and implementation), and mechatronics (3D motion design, kinematic analysis). Operates with state-of-the-art equipment including Beckhoff TwinCAT, Siemens S7/TIA systems, ABB/Kuka robots, and MES platforms.

Vedat TemizView profile

Lecturer

• Mechanical Engineering
• Tribology
• Materials Science
• +8 more

Vedat Temiz is a Lecturer at Istanbul Technical University's Department of Mechanical Engineering, specializing in mechanical design and tribology. His research spans seal engineering, polymer material behavior, and surface roughness analysis, with notable applications in industrial and dental contexts. Current projects include developing wheel drive systems for construction machinery and screw pump families. Research trends focus on friction dynamics, finite element modeling, and noise reduction in polymer-based components. Supervised 74 works across his career, though specific student names are not provided.

Bryan PalmintierView profile

Researcher

• Power Systems
• Energy Systems Integration
• Distributed Energy Resources
• +5 more

Bryan Palmintier is the Group Manager of the Transmission & Distribution Interactions Group at the National Renewable Energy Laboratory (NREL), with 25 years of experience in multi-domain energy systems integration. His work spans electric power systems, multi-energy systems (transportation, buildings, water), and aerospace, focusing on advanced tools for distributed energy integration. He emphasizes holistic modeling that incorporates technical, social, economic, and regulatory factors. Bachelor, Aerospace Engineering, Georgia Institute of Technology Master, Aeronautics & Astronautics Engineering, Stanford University Master, Mechanical Engineering (Design Division), Stanford University PhD, Engineering Systems, Massachusetts Institute of Technology His research drives grid modernization through synthetic electricity systems, co-simulation frameworks like HELICS, and equity-focused energy modeling. He leads teams in technical projects and outdoor expeditions, blending engineering rigor with interdisciplinary collaboration. Notable trends in his publications include scalable co-simulation for multi-sector systems, distributed resource integration, and techno-economic pathways for 100% renewable grids. Tools like HELICS (2019 R&D 100 Award) highlight his technical contributions. NREL Distinguished Member of Research Staff (2021) NREL President’s Award (2016) NREL Tech Transfer Rising Star Award (2017) R&D 100 Award for HELICS (2019) Palmintier's career bridges academia (Visiting Lecturer, University of Washington; Adjunct Faculty, Santa Clara University) and industry, with affiliations in IEEE Industrial Electronics Society and Power & Energy Society. His work underpins U.S. energy system modernization efforts.

Morgan KonnestadView profile

Associate Professor

• Computer Graphics
• Computer-Aided Design
• Motion Capture Technology
• +5 more

Morgan Konnestad is an Associate Professor in the Department of Information and Communication Technology at the University of Agder's Faculty of Technology and Natural Sciences. He has been employed full-time at UiA since January 1, 1989, and holds a Master's degree in Marine Technology from NTNU with a focus on Computer-Aided Design and additional coursework from the ICT department. His career spans over three decades of dedicated service to the university, with significant contributions to multimedia education and technology. Education Background: Master of Science in Marine Technology from NTNU (Computer-Aided Design focus) Additional coursework from NTNU's Department of ICT University Pedagogics Program completed at UiA in 2006 Konnestad's research interests center on visual computing technologies and their educational applications. He has been responsible for Computer Graphics and CAD courses since joining UiA, later expanding into Video, DVD/Blu-ray Authoring, and e-learning material production. His work demonstrates a consistent focus on practical applications of digital media technologies in educational contexts, with particular emphasis on motion capture systems, 3D visualization, and emerging AR/VR technologies. He has developed numerous multimedia production techniques specifically tailored for academic use and student learning. Analysis of his recent publications (2014-2023) reveals a strong trajectory toward immersive technologies and collaborative learning environments. His work increasingly focuses on motion capture applications, AR/VR implementations in education, and interactive systems for specialized training. The publications show a clear evolution from technical demonstrations of multimedia capabilities toward research-oriented investigations of how these technologies enhance learning outcomes and professional training, particularly in emergency management contexts. Academic Supervision: Assistant supervisor for Maurice Isabwe's PhD completed in 2013 Konnestad actively contributes to the university's outreach efforts through numerous presentations at open house events, high schools, and educational institutions. He has been instrumental in demonstrating UiA's Motion Capture Laboratory capabilities, providing hands-on experiences that showcase the practical applications of multimedia technology. His work bridges academic research with real-world implementation, particularly through collaborations with regional businesses and emergency management stakeholders. Laboratory Focus: Konnestad has been a driving force behind UiA's Motion Capture Laboratory, developing demonstration protocols and practical applications that support both educational and research objectives. His work with this facility has enabled innovative approaches to multimedia production, 3D visualization, and interactive learning environments.

• Algorithms
• Computational Geometry
• Wireless Communication
• +4 more

Stefan Funke is a researcher at the University of Stuttgart, Germany, with a focus on algorithms and computational geometry. His work spans wireless communication, route planning, and trajectory analysis. Research Interests: Algorithms, Computational Geometry, Wireless Communication, Route Planning, Trajectory Segmentation His recent publications (2024-2025) explore topics like 3D epithelial cell dynamics, graph radius computation, and polyline simplification, emphasizing scalability and efficiency. Earlier works (2017-2019) investigate contraction hierarchies, energy-efficient routing, and trajectory storage systems. Stefan collaborates frequently with Sabine Storandt, Claudius Proissl, and Tobias Rupp. He applies geometric methods to problems in wireless networks, road systems, and data structures, with a recurring emphasis on optimization and robustness.

• Autonomous Systems
• Computer Vision
• Robotics
• +3 more

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems and Director of the Institute for Intelligent Systems at Esslingen University of Applied Sciences, Germany, within the Department of Computer Science and Engineering. His leadership role positions him at the forefront of intelligent systems research in applied academic settings. His research spans autonomous systems, computer vision, and robotics with emphasis on visual-inertial SLAM, semantic segmentation, and collective perception. Key contributions address real-world challenges in unstructured environments like agricultural fields and urban settings through efficient perception systems. Recent work focuses on lightweight monocular solutions, sensor fusion techniques, and computational efficiency optimization for autonomous vehicles. Analysis of his 2024-2025 publications reveals strong trends in collective perception infrastructure, NeRF/Gaussian Splatting integration for SLAM, and multi-sensor dataset development. His research consistently benchmarks computational costs against accuracy improvements while creating valuable resources like the OPNV public transportation dataset and Rover multi-season SLAM corpus. As Director of the Institute for Intelligent Systems, Enzweiler leads initiatives advancing autonomous driving technologies through practical implementations and industry-relevant research frameworks.

Stefanos PapadakisView profile

Lecturer

• Software Defined Radio
• Cognitive Radios
• Radio Resource Management
• +5 more

Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.

• Embedded computer systems
• Real-time systems
• Technical cybernetics
• +5 more

Kristian Muri Knausgård is a Lecturer at the Department of Engineering Sciences , University of Agder , Norway. He teaches courses in embedded systems, software development, and robotics. Current courses: MAS245 (Embedded Computer Systems), MAS417 (Software Development), MAS418 (Robotics Programming) Previous courses: MAS218 (Electrical Circuits), MAS234 (Embedded Systems) His research focuses on embedded systems , real-time systems , and technical cybernetics , with applications in artificial intelligence , computer vision , and systems engineering . He contributes to the university's research groups on Robotics and Automation and Systems Engineering and Modeling . Recent publications show a strong emphasis on: Autonomous systems (robotics, docking algorithms) Deep learning applications in marine ecology 3D reconstruction and computer vision techniques Fish detection/classification using neural networks Industrial automation for aquaponic systems His work bridges theoretical research with practical implementations in mechatronic systems and environmental monitoring.

Feryal ErhunView profile

Professor

• Operations Management
• Technology Management
• Supply Chain Management
• +4 more

Feryal Erhun is a Professor of Operations & Technology Management at Cambridge Judge Business School , University of Cambridge. She serves as the Academic Director of the Wo+Men’s Leadership Centre and engages in practice-based research through partnerships like Intel Corporation, Cisco, and Stanford University Medical Center. Her work bridges operational challenges with strategic organizational insights. Education: BS, MS from Bilkent University; MS, PhD from Carnegie Mellon University’s Graduate School of Industrial Administration Her research focuses on strategic interactions in supply chains and socially responsible operations. Key themes include stakeholder collaboration, risk management, and applying game theory to business challenges. She emphasizes industry-academia partnerships to address real-world problems in healthcare logistics, semiconductor capacity planning, and pharmaceutical-CRO dynamics. Recent publications highlight her interdisciplinary approach, spanning healthcare systems modeling , pandemic response strategies , and sustainable supply chain frameworks . Her work has been recognized by the Franz Edelman Award (finalist in 2012) and ongoing contributions to journals like Production and Operations Management Society. She advocates for diversity in leadership and drives innovation through the Wo+Men’s Leadership Centre. Scientific Awards: 2012 Franz Edelman Award Finalist Edelman Laureate inductee As an editorial board member for major operations journals, she shapes academic discourse while maintaining active collaborations with industry leaders. Her role in the Cambridge Mathematics of Information in Healthcare Hub underscores her commitment to operational excellence in healthcare systems.

• Mantle Dynamics
• Theoretical Geophysics
• Plate Tectonics
• +3 more

Dr. Erik van der Wiel is a researcher in the Department of Earth Sciences at Utrecht University, focusing on mantle dynamics, theoretical geophysics, and subduction processes. His work bridges geodynamic models with kinematic reconstructions of slab sinking velocities and plate motions. University: Utrecht University Department: Earth Sciences Email: e.vanderwiel@uu.nl His research explores mantle convection patterns, lithospheric motions, and slab buckling mechanisms, aiming to understand the forces driving tectonic activity. Recent publications analyze subduction rates, paleomagnetic data, and lower mantle flow. Scientific awards include the Outstanding Student Poster Award (2022) . He has published in journals like Communications Earth & Environment , Earth and Planetary Science Letters , and Journal of Geophysical Research: Solid Earth .

Alex BaldwinView profile

Assistant Professor

• Computational Neuroscience
• Visual Psychophysics
• Binocular Vision
• +6 more

Alex Baldwin is an Assistant Professor at McGill University within the Department of Ophthalmology & Visual Sciences. He serves as a Junior Scientist in the Brain Repair and Integrative Neuroscience (BRaIN) program at the Research Institute of the McGill University Health Centre. Supervisor in McGill's Integrated Program in Neuroscience (IPN) Supervisor in Quantitative Life Sciences program Laboratory located at Montreal General Hospital Research focuses span computational neuroscience, visual psychophysics, and binocular vision mechanisms , particularly examining: Amblyopia and spatial scrambling Aging-related changes in stereopsis Visual noise adaptation Contrast summation models Contour integration processes Digital therapeutic development His lab employs Matlab/Octave (Psychtoolbox), Python (PsychoPy), and Unity/C# for experimental design, with Python (Jupyter) and Matlab (Palamedes Toolbox) for data analysis. Collaborations include Wenzhou Medical University. Scientific recognition includes: NSERC Discovery Grant (2022-2027) HBHL Ignite Funding FRQ-S Vision Health Research Network Pilot Training opportunities available for undergraduate (PSYC-396/COGS-444/COGS-401) and graduate students , with current advisees working on topics including: Visual snow syndrome neural mechanisms Binocular imbalance in aging Contour integration modeling Adaptive strategies in amblyopia Dichoptic ebook therapy development

Yushuai LiView profile

Assistant Professor

• Digital Twin
• Energy Internet
• Reinforcement Learning
• +7 more

Yushuai Li is an Assistant Professor in the Department of Computer Science at Aalborg University. His research focuses on digital twin technologies, energy internet systems, distributed optimization, and cyber-physical security for energy networks. Institution: Aalborg University, Denmark Academic Rank: Assistant Professor Email: yushuaili@ieee.org, yusli@cs.aau.dk Research Interests: Li's work bridges artificial intelligence with energy systems, emphasizing: Digital Twin for Energy and Transportation Integration Reinforcement Learning in Power Trading Distributed Control for Microgrids Privacy-Preserving Energy Dispatch Autonomous Driving-Energy System Coupling Scientific Contributions: His recent publications address critical challenges in energy internet resilience, including: Distributed control under stealthy attacks Noise-resilient microgrid operations Multi-timescale optimization algorithms Event-triggered control strategies Secure peer-to-peer energy trading Honors & Awards: Recipient of multiple prestigious awards, including: Best Paper Awards (MPCE, ICCSIE, IEEE EI2) Excellent Young Expert Award (MPCE, 2023) National Natural Science Prizes (CAA 2022-2023) Highly Cited Papers (8 ESI Highly Cited, 2 ESI Hot Papers) H-index 24 with 2500+ Google Scholar Citations Academic Leadership: Serves as Associate Editor for four IEEE journals and chairs sessions at leading conferences like IEEE SmartGridComm, ISIE, and IEEE EI2. His 70+ publications span top venues including IEEE Transactions on Cybernetics, Smart Grid, and ACM SIGMOD.