Find Academic Supervisors

• Computational Economics
• Agent-Based Modeling
• Innovation Economics
• +9 more

Herbert Dawid is a Professor of Economic Theory and Computational Economics at the Faculty of Business and Economics , Bielefeld University , Germany. He holds multiple roles including Chair Holder, Subproject Manager for SFB 1283, and Founding Director of the Center for Uncertainty Studies (CeUS) . His research focuses on Computational Economics , Agent-Based Modeling , and Innovation Dynamics , with emphasis on uncertainty management and digitalization. Current Appointments Professor (W3), Faculty of Business and Economics, Bielefeld University (since 2010) Subproject Manager, SFB 1283 (Innovation Dynamics in Market Uncertainty) Founding Director, Center for Uncertainty Studies (CeUS) Research Themes Digitalization and Intelligent Products Investing Under Uncertainty Agent-Based Modeling in Economics Dynamic Analysis of Economic Policy Control Theory and Differential Games His work spans economic policy modeling , technological innovation , and financial constraint analysis , with notable publications on AI integration in economic systems and autonomous vehicle policy frameworks. He contributes to interdisciplinary initiatives like AI*IM (Interactive Inclusive AI for People with Cognitive Disabilities) through economic expertise.

Lorand SzaboView profile

Professor

• Electrical Machines
• Variable Reluctance Motors
• Linear Electric Generators
• +4 more

Lorand Szabo is a Full Professor at the Department of Electrical Machines and Drives , Faculty of Electrical Engineering , Technical University of Cluj-Napoca , Romania. He has been affiliated with this institution since 1990, transitioning from Research and Design Engineer to Lecturer (1999), Associate Professor (2007), and Full Professor (current). He also served as an Invited Professor at Pannon University (Hungary, 2007-2008) and University of Pavia (Italy, 2015). Teaching : Special Electrical Machines (1985-present), Electrical Machines and Drives (1996-present), Computer Aided Design of Electromechanical Systems (2009-present). Supervision : Ph.D. supervisor since 2007 for 8 students (6 completed). Research Focus : Linear and variable reluctance electrical machines, fault-tolerant designs, bearing fault detection in motors, and condition monitoring. His work extends to automotive applications (electric vehicles, hybrid systems), wind energy generators, and sustainable material sourcing for electrical machines. Recent Publications (2023-2025) address critical topics in sustainable mobility, including rare earth material dependency, deep-sea mining for electric technologies, battery management systems, and resource-efficient motor designs. These works reflect his interdisciplinary approach combining electrical machine innovation with environmental and industrial systems thinking. Technical Expertise : Finite element analysis (JMAG, ANSYS Motor-CAD), LabVIEW modeling, fault detection algorithms (wavelet transforms, kurtosis deconvolution), and modular motor construction for automotive and renewable energy applications.

Tejs VeggeView profile

Professor

• Autonomous materials discovery
• Energy conversion and storage
• Battery materials
• +4 more

Tejs Vegge is a Professor and Head of the Section for Autonomous Materials Discovery (AMD) at the Department of Energy Conversion and Storage, Technical University of Denmark (DTU). His research focuses on accelerating the discovery of clean energy materials through integrated computational and experimental approaches. Key areas include battery materials, hydrogen/ammonia storage, and electrocatalysts for sustainable fuels. Vegge leads major initiatives like the Pioneer Center CAPeX and the Villum Center V-Sustain, and has received awards such as the August-Wilhelm Scheer Visiting Professorship and the Ellen and Hans Hermers Award. His projects include the CAPeX Center (2023–2036) for P2X materials, the DELIGHT project (2021–2024) on green catalysis, and collaborations like Battery2030+. He supervises multiple PhD students in topics like battery electrolytes, autonomous workflows, and machine learning for materials design. Research Themes: Autonomous materials discovery, AI-driven experiments, sustainable energy systems Key Tools: Density Functional Theory (DFT), high-throughput screening, self-driving labs Recent Trends: Focus on strain engineering for ion conductivity, CO₂ reduction catalysts, and quantum computing applications Publications span over 300 articles, emphasizing interdisciplinary methods like reinforcement learning and Bayesian optimization. Vegge advocates for open-access research infrastructure and has pioneered lab automation frameworks like Finales.

Anis KoubâaView profile

Professor

• Real-Time Systems
• Quality of Service (QoS)
• Wireless Sensor Networks
• +4 more

Anis Koubâa is a Professor at the Department of Electrical Engineering and Computers, Instituto Superior de Engenharia do Porto (ISEP), part of the Polytechnic Institute of Porto (IPP). He is a core member of the CISTER Research Centre, focusing on real-time systems, quality of service, wireless sensor networks, and cyber-physical systems. He holds a PhD in Computer Science from the National Polytechnic Institute (INPL, France), a Master’s from University of Nancy I, and a Telecommunications Engineering degree from Sup’Com Tunisia. His postdoctoral research at CISTER (2005–present) concentrated on real-time aspects of wireless sensor networks. Research interests span cooperative autonomous driving, drone networks, edge computing, and secure communication protocols. He has published extensively on topics like vehicular platooning, real-time QoS monitoring, and cloud-edge architectures for AI applications. His work integrates robotics (ROS frameworks), network protocols (IEEE 802.15.4e), and safety-critical systems. Over 100 papers in journals/conferences and co-authored books on ROS and cyber-physical systems demonstrate his leadership in these areas. Current projects include COPADRIVe (cooperative driving simulation), COPA-Drive (platooning validation), and secure architectures for autonomous systems. He leads the RIOTU-Lab for IoT and robotics research, emphasizing practical applications in disaster management, UAV coordination, and smart city infrastructure.

• Quality of Experience
• Autonomous driving systems
• Human-computer interaction
• +2 more

Daniel Guilherme Gomes is an Assistant Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. His research develops human-machine interfaces for autonomous vehicles and evaluates immersive driving experiences. Research focuses on: Quality of Experience in autonomous driving systems Driver situation awareness enhancement Haptic feedback interfaces VR-based driving simulations Recent projects include the HEDGEHOG steering wheel prototype for conditional vehicle automation and SM-EXO hand exoskeleton for cobotic applications. Publications demonstrate expertise in evaluating user experience through crowdsourcing methodologies and developing continuous-time feedback devices.

Malik ČabaravdićView profile

Professor

• Automation and Robotics
• Innovation Management
• Curriculum Innovation
• +3 more

Prof. Ph.D.Sc. Malik Čabaravdić is a Full Professor at the Department of Automation and Metrology, Faculty of Mechanical Engineering, University of Zenica. He holds a Doctor of Technical Sciences degree from the Technical University of Dortmund, Germany. Since 2009, he has been affiliated with the University of Zenica, advancing to his current professorship in 2020. His roles include serving as Vice-Rector for International Cooperation and Quality Assurance (2015–2023) and currently leading the Department of Automation and Metrology since November 2023. His research focuses on automation, robotics, innovation management, and quality assurance in higher education. Notable projects include work on 3D printing applications, robot-assisted manufacturing processes, and smart automation systems. He has contributed to international collaborations, particularly in optimizing robotic processes for precision tasks like sheet metal forming and photovoltaic systems. Prof. Čabaravdić's publications span over two decades, emphasizing robotics, automation, and manufacturing innovations. His work bridges theoretical advancements with practical industrial applications, reflecting a strong commitment to both academic research and institutional leadership.

Ömer Cihan KıvançView profile

Researcher

• Electrical Engineering
• Power Electronics
• Control Systems
• +3 more

Ömer Cihan Kıvanç is a faculty member at the Faculty of Engineering and Natural Sciences, İstanbul Okan University, specializing in electrical engineering and power electronics. His research focuses on advanced motor control systems, energy management strategies, and smart grid technologies. He has contributed to innovative solutions in electric vehicles, renewable energy integration, and optimization algorithms. His work spans the design of high-efficiency electric motors (e.g., brushless DC and PMSM drives), hybrid energy storage systems, and intelligent energy management systems leveraging AI techniques like deep reinforcement learning and neural networks. He has also explored regenerative braking systems and V2G (Vehicle-to-Grid) technologies to enhance grid stability and energy efficiency. Key research trends include optimizing energy storage systems for industrial vehicles, improving prosumer comfort in smart grids, and developing cost-effective home energy management solutions. His studies often combine experimental validation with advanced modeling in tools like MATLAB/Simulink. Notably, his projects emphasize real-world applications, such as energy-efficient chargers using GaN semiconductors, crimping techniques for high-power plugs, and sensorless motor control methodologies. He has collaborated on interdisciplinary initiatives, including unmanned ground vehicle development and electro-hydraulic power steering systems. His advising and grants focus on fostering innovation in electric propulsion, energy systems, and automation. He has contributed to the development of laboratories and research centers at the university, though specific lab affiliations are not detailed in the provided texts.

Felipe MartinsView profile

Senior Lecturer

• Mobile Robot Control
• Educational Robotics
• Robotics Competitions
• +6 more

Felipe Martins is a Senior Lecturer-Researcher at Hanze University of Applied Sciences, active in both teaching and the Sensors and Smart Systems research group. He holds a PhD in Electrical and Electronic Engineering (2009) and has a background in industrial automation engineering (1999-2003). His work contributes to UN Sustainable Development Goals through educational robotics and automation. PhD: Modeling and Dynamic Compensation of Mobile Robots (Federal University of Espirito Santo) MSc: Control of Induction Generators via Fuzzy Logic BSc: Microcontroller-based Motor Control Research spans mobile robot control , educational robotics , autonomous navigation , and sensor networks . Recent publications focus on LiDAR data processing (2024), reinforcement learning for robotic applications (2022), and machine learning-driven localization (2023). He received Best Paper Awards at OL2A 2023 and WRE 2018. As a part-time teacher at University of Groningen (since 2022) and visiting researcher at CeDRI (2023), he bridges academia and industry. His editorial roles include guest editorships at Automation (MDPI) and Sensors journals. He co-organized RoboCup Junior events (2013-2021) and developed open-source robotics education tools like RoSoS A free simulator (2016).

• Mechanical Engineering
• Metrology
• Biomedical Engineering
• +5 more

Roman Szewczyk is a Professor at the Institute of Metrology and Biomedical Engineering within the Faculty of Mechatronics at Warsaw University of Technology (Politechnika Warszawska). He also maintains an affiliation with the Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP. His academic career spans over two decades since earning his doctorate in 2003. Professor Szewczyk's research interests are highly interdisciplinary, focusing on the intersection of mechanical engineering, materials science, and biomedical applications. His primary expertise lies in magnetic sensors, metrology, and the development of measurement systems. He has made significant contributions to understanding magnetostrictive effects, magnetic permeability in electrical steels, and the application of finite element methods for sensor development. His work bridges theoretical physics with practical engineering applications, particularly in the fields of automation and biomedical instrumentation. An analysis of his recent publications reveals a strong focus on precision measurement systems, magnetic sensor development, and materials characterization. His work spans from fundamental physics of magnetoelastic effects to practical applications in robotics, biomedical devices, and environmental sustainability. The consistent publication output across multiple domains demonstrates his ability to integrate knowledge from diverse fields to solve complex engineering problems. With an impressive record of 342 publications and an h-index of 18 (Scopus) and 17 (Web of Science), Professor Szewczyk has established himself as a significant contributor to his fields of expertise. His work has practical applications across various industries including medical technology, power systems, and precision manufacturing. Professor Szewczyk has supervised 120 promoted theses, indicating his substantial contribution to academic mentoring and the development of future engineers. His involvement in 4 research projects demonstrates his ability to secure funding and lead research initiatives. While specific grant details aren't provided in the available information, his publication record suggests successful acquisition of research funding to support his extensive work. His laboratory work appears to focus on precision measurement systems, particularly those involving magnetic phenomena. The research group likely maintains facilities for materials testing, sensor development, and computational modeling, given the nature of his publications. The connection to the Institute of Metrology and Biomedical Engineering suggests strong capabilities in precision instrumentation and biomedical applications of engineering principles.

Peter Dennedy-FrankView profile

Assistant Professor

• Ecohydrologic Modeling
• Water Resources Management
• Environmental Conservation
• +3 more

Peter Dennedy-Frank is an Assistant Professor at Northeastern University with a joint appointment in the Departments of Civil and Environmental Engineering and Marine and Environmental Sciences within the College of Engineering. His research focuses on ecohydrologic modeling for water resources and conservation, blending interdisciplinary approaches to address environmental challenges. He holds a PhD in Hydrology from Stanford University (2018), MS degrees in Earth System Science (Stanford, 2015) and Earth and Planetary Sciences (MIT, 2006), and a BS from Caltech (2003). Research Interests: His work emphasizes watershed restoration, groundwater management, and sustainable resource engineering. He explores how land-use changes and subsurface dynamics influence water systems, with applications in environmental policy and ecohydrology. Recent studies include global watershed simulations and economic analyses of conservation programs in Brazil. Advising & Grants: Dennedy-Frank mentors undergraduate researchers through Northeastern’s PEAK Experiences Awards, fostering hands-on environmental research. His lab, the Water Resources Ecohydrology Lab, drives collaborative efforts in environmental modeling and policy. Though no specific grants are detailed, his publications reflect sustained interdisciplinary engagement.

• Clean, low-carbon transportation
• Vehicle technology modelling and assessment
• Renewable gaseous fuels
• +3 more

Gordon McTaggart-Cowan is an Associate Professor and Associate Director in the School of Sustainable Energy Engineering at Simon Fraser University (SFU). He holds a Ph.D. (2006), M.A.Sc. (2002), and B.Eng. (1999) in Mechanical Engineering from the University of British Columbia and the University of Victoria. His research focuses on clean, low-carbon transportation technologies, including vehicle modeling, renewable gaseous fuels, and emissions control in internal combustion engines. He has pioneered work on hydrogen-diesel dual-fuel systems, natural gas engine optimization, and high-pressure fuel injection strategies. Recent publications highlight advancements in hydrogen compression systems, hybrid electric truck performance analysis, and thermoelectric energy harvesting. He has contributed to over 50 peer-reviewed articles and holds multiple patents on fuel injection and combustion control technologies. McTaggart-Cowan is an Associate Editor for the Proceedings of the Institution of Mechanical Engineers, Part D and collaborates internationally through visiting fellowships at Loughborough University and Michigan Technological University. Teaching responsibilities include fluid mechanics, thermodynamics, and sustainable energy design projects. His work aligns with global efforts to decarbonize heavy-duty transport and stationary power systems through innovative engine design and alternative fuel integration.

Tuna BalkanView profile

Professor

• Control Systems
• Robotics
• System Dynamics
• +5 more

Prof. Tuna Balkan is a Professor in the Mechanical Engineering Department at Middle East Technical University (METU), Ankara, Turkey. He holds a B.Sc. (1979), M.Sc. (1983), and Ph.D. (1988) from METU. His research focuses on control systems, robotics, fluid power control, and dynamic modeling. He leads the Control Systems Laboratory at METU and teaches courses such as Control Systems (ME 304), Fluid Power Control (ME 516), and Mechanical Engineering Systems Laboratory (ME 410). His work spans hydraulic actuator design, platform stabilization, and industrial robotic applications like spray painting and arc welding. Research interests include real-time control, Kalman filtering, and energy-efficient hydraulic systems. He has supervised numerous theses, including studies on hydraulic load simulators, energy-efficient actuators, and vibration-based energy harvesting. His publications cover topics like instability analysis in hydraulic systems, friction compensation in motion platforms, and microelectromechanical systems (MEMS) for energy harvesting. Prof. Balkan’s lab, Control Systems Lab (Room G-130), develops advanced control algorithms and experimental setups. His contributions to automotive safety, agricultural machinery design, and robotic spray painting have been widely recognized. He has collaborated on projects involving durability test rigs, unmanned aerial vehicles, and sensor integration for industrial applications.

• Plate Tectonics
• Geodynamics
• Seismic Tomography
• +3 more

Edward Clennett is an Associate Lecturer at the School of Natural Sciences, Birkbeck, University of London. He specializes in reconstructing plate tectonic history through deep time using geodynamic models, seismic tomography, and plate kinematic analyses. His teaching includes the Global Tectonics undergraduate module. Education: PhD in Geosciences from The University of Texas at Austin (2024), MSc in Earth Sciences from the University of Oxford (2019). Research focuses on integrating geodynamic, seismic, and kinematic data to improve plate reconstruction accuracy. Key interests include tectonic controls of critical minerals, crustal thickness changes during deformation, and the interplay between Earth’s interior and surface processes. Publications emphasize novel methods in plate tectonic modeling, including sediment lubrication effects on plate velocities and four-dimensional reconstructions combining multiple datasets. Awards: UTIG Outstanding Graduate Student Award (2024), Fulbright Scholarship (2020), BP Prize for best Master's project (2019). Advising and grants: No specific grants listed, but active in supervision of research projects related to plate tectonics and geodynamic modeling. Labs/Teams: Collaborates with institutions like the University of Texas Institute for Geophysics and the Jackson School of Geosciences on geodynamic projects.

• Health and Safety Training in Maker Spaces
• Design Innovation in Commercial Markets
• Product Development
• +3 more

Dan Brown is a Clinical Professor at the Segal Design Institute, Northwestern University. He has over 30 years of experience in design and product commercialization, with 15 years as a consultant, inventor, and entrepreneur. He holds a Master of Product Development (MPD) from Northwestern and has secured over 30 U.S. Utility Patents. His research focuses on health/safety training in maker spaces and how design drives competitive advantage in commercial markets. Professional Affiliations: Founder/President of LoggerHead Tools Principal at Consul-Tech Concepts Affiliated with Master of Engineering Management and Product Design & Development Management programs His work bridges academic research and industry practice, emphasizing practical application of design principles. Publications include studies on engineering education methodologies and interdisciplinary computational models in psychology and AI. Technical Credentials: 30+ U.S. Utility Patents International design and innovation awards (specifics not disclosed)

Patrizia Di Campli San VitoView profile

Researcher

• Human-Computer Interaction (HCI)
• Assistive Technology
• Human-AI Interaction
• +3 more

Patrizia Di Campli San Vito is a Researcher in the School of Computing Science at the University of Glasgow, focusing on Human-AI Interaction and Assistive Technologies. She holds a PhD from the University of Glasgow and prior degrees from the University of Ulm, Germany. Her current work involves participatory harm auditing of AI systems through the PHAWM project and developing adaptive radio systems (RadioMe) for dementia care. Previously, she contributed to ENTER and RadioMe projects addressing aging populations' needs through multimodal interfaces. Education: PhD: University of Glasgow Master's & Bachelor's: Media Informatics, University of Ulm Research Interests: Human-Computer Interaction (HCI), Assistive Technology for Aging Populations, Thermal/Haptic Feedback Systems, Automotive UIs, and Ethical AI Evaluation. She explores how multimodal interactions (e.g., thermal, haptic, audio) can improve accessibility and safety in healthcare and automotive domains. Key Projects: RADIO-ME: Adaptive radio system with agitation detection and music intervention for dementia patients PHAWM: Tools for non-experts to evaluate AI systems' societal impacts ENTER: Multimodal interaction for older adults Recent Work: Her publications focus on stress detection systems, in-car thermal feedback for navigation, and dementia-friendly calendar interfaces. She collaborates with Prof. Simone Stumpf (GIST Lab) and Prof. Stephen Brewster (Multimodal Interaction Group). Labs/Teams: Active in the Glasgow Interaction Systems Team (GIST) and previously contributed to the Multimodal Interaction Group.