Find Academic Supervisors

Vojkan KostićView profile

Assistant Professor

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

Dr. Vojkan Kostić is an Assistant Professor and Head of the Power Engineering Department at the University of Niš's Faculty of Electronic Engineering. His research focuses on electrical drives, motor control systems, and renewable energy integration. He has led and participated in numerous national and international projects, including the Horizon 2021-funded TRANSITion project. His work emphasizes improving energy efficiency in industrial processes through advanced motor drives and control strategies. Key contributions include innovations in direct torque control, multi-motor systems for cranes, and grid-connected converter synchronization. He has authored/co-authored over 70 publications in peer-reviewed journals and conferences, with a focus on power electronics, motor drives, and industrial automation. Education: PhD in Electrical Engineering (University of Niš) Research Projects: Includes EU-funded initiatives and national efforts on energy efficiency, microgrid stability, and fault-tolerant drives. Key Contributions: Developed advanced control algorithms for induction motors under voltage sag conditions. Designed multi-motor drive systems for gantry cranes, enhancing load-sharing and anti-skew performance. Contributed to renewable energy integration through grid-tied inverters and microgrid modeling. Labs/Teams: Active in laboratories such as the Lab for Electric Machines and Drives and MisGrid Lab , focusing on applied research in power electronics and automation.

• Operations Research
• Scheduling
• Production Planning
• +7 more

Zehra Düzgit is an Assistant Professor in the Department of Industrial Engineering at Istanbul Bilgi University, where she has been serving since 2020. She earned her PhD in Industrial Engineering from Boğaziçi University in 2015 and has remained affiliated with Istanbul Bilgi University as an Instructor (2015–2020) and Research Assistant (2011–2015). Her academic work is centered on optimization and logistics within industrial systems. Education: PhD, Industrial Engineering, Boğaziçi University, 2015 MS, Engineering and Technology Management, Boğaziçi University, 2007 BS, Systems (Industrial) Engineering, Yeditepe University, 2003 Her research interests include Operations Research, Scheduling, Production Planning, Warehouse Optimization, and Meta-heuristic Algorithms. She applies these to real-world problems in logistics, manufacturing, and service systems. Her work often involves algorithmic solutions for warehouse order picking, hybrid flowshop scheduling, and due date assignment under dynamic and stochastic environments. The recent articles demonstrate a strong focus on warehouse logistics, particularly in automotive and food packaging industries, with increasing integration of robotics and automation. Her publications span journal articles, book chapters, and conference proceedings, showing consistent scholarly output. She frequently collaborates with students and colleagues on applied industrial engineering problems. Scientific Contributions: Extensive publications in peer-reviewed journals and conference proceedings Contributions to Springer Lecture Notes and edited volumes Active participation in national and international conferences (YA/EM, ISPR, LMSCM, EURO) Zehra Düzgit has advised numerous students on research projects related to production planning, scheduling, and logistics. Her teaching portfolio includes core industrial engineering courses such as Optimization Methods, Production Planning and Control, and Engineering Statistics. She has not received any explicitly mentioned scientific awards. She is involved in research teams focusing on warehouse systems, scheduling algorithms, and logistics optimization, often in collaboration with industry partners.

• Modelling and simulation of multi-physics systems
• Machine learning and data analysis
• High performance computing
• +3 more

Dr. Tobias Kaufmann is the Acting Head of the FHNW Institute of Mathematics and Natural Sciences and a Lecturer in Mathematics at FHNW's School of Engineering and Environment. He teaches in bachelor's programs including Mechanical Engineering, Electrical and Information Technology, Computer Sciences, and Energy and Environmental Technology. His research focuses on multi-physics system modeling, machine learning, high-performance computing, ultrasonics, radar, and vacuum measurement technologies. He holds a PhD in theoretical physics from the University of Zurich and completed postdoctoral research at ETH Zurich and the University of California, Irvine. Education Background: Tobias Kaufmann earned a Diploma in Theoretical Physics and a Teaching Diploma from the University of Zurich. He also holds a CAS in Higher Education from the University of Applied Sciences of Eastern Switzerland. His professional career spans roles as a Professor at the University of Applied Sciences of Eastern Switzerland, a Data Scientist at Geopraevent, a Scientist at ABB Corporate Research, and a Principal Investigator at ETH Zurich's Department of Physics. Research Interests: His work bridges computational physics and engineering applications, emphasizing: Multi-physics system modeling and simulation Machine learning for data analysis and predictive systems High-performance computing for large-scale simulations Ultrasonic and radar sensing technologies Continuum mechanics and electrodynamics Notable Projects: As project leader, he has managed initiatives like the Innosuisse-funded 'Optimized Side Seamer for Fleximed tube bodies' with Neopac AG and SF-funded projects on particle-based CFD simulations, smart power tools, food industry classifiers, and cable car dynamics simulators. Collaborations include Hilti AG, Winterhalter AG, and Bartholet AG. Technical Contributions: His inventions include non-intrusive liquid level measurement systems (patented with ABB) and acoustic signal propagation methods. He has also contributed to Google's AI research, including text prediction and communication template systems.

Oluyomi SimpsonView profile

Lecturer

• 5G/6G Wireless Communication Systems
• Physical Layer Security
• Machine Learning in Communications
• +6 more

Dr. Oluyomi Simpson is a Principal Lecturer and academic lead of the Communications Lab at the University of Hertfordshire's School of Physics, Engineering & Computer Science. He specializes in wireless communication systems, with a focus on 5G/6G, physical layer security, and machine learning integration. His research also encompasses cognitive radio networks, RFID technologies, and RF energy harvesting. Simpson has over 50 publications and serves as an Associate Editor for IEEE Communications Letters. Education: PhD in Communications and Electronics Engineering from the University of Hertfordshire (2011). Research Interests: His work spans interdisciplinary applications in wireless communication systems, including next-generation multiple access, near-field sensing, and STARS (Simultaneously Transmitting and Reflecting Surfaces). He emphasizes practical industry applications in telecommunications, manufacturing, and healthcare. Projects: Advanced Telematics and RFID Systems for Asset Monitoring in Emergency Medical Services (2025–2027) RFID System for Sample Management (2021–Present) Asset Monitoring via Coaxial Cable Strain Sensing (2025) Grants & Funding: Supported by ERDF, Innovate UK, and the Niger Delta Development Commission (NDDC). Labs & Teams: Leads the Wireless and Mobile Communication Lab, focusing on 6G research and collaborative projects with industry partners.

• Photonics
• Electronics Engineering
• Microwave Systems
• +6 more

Francesco Ferranti is a Professor at Vrije Universiteit Brussel (VUB), Belgium, specializing in photonics, microwave systems, and advanced modeling techniques. His research focuses on nanophotonics, optical engineering, and the application of machine learning in optical and electronic systems. Key projects include the Brussels Photonics 2025 initiative (GEAR), exploring photonics innovation, and developing high-precision optical components like metalenses using 3D nanoprinting. Ferranti’s work also addresses electromagnetic system modeling, fault diagnosis in phased arrays, and uncertainty quantification in complex circuits. He has supervised numerous students in topics ranging from metamaterials to biomedical applications of Raman spectroscopy. Collaborations span international institutions, with active projects in nanotechnology and medical device development. His contributions bridge theoretical advancements and practical applications, emphasizing interdisciplinary innovation. Education & Background: Ferranti holds a doctoral degree in Engineering (Prof. Dr. Eng.) and has led multiple fundamental and applied research projects. His academic career includes roles in both teaching and high-impact research. Research Interests: The core of Ferranti’s work lies in photonics, metamaterials, and advanced modeling techniques for electromagnetic systems. He pioneers methods like latent space modeling for spectral prediction and adaptive sampling for efficient simulations. His group develops optical components (e.g., metalenses) and systems for biomedical diagnostics, leveraging machine learning for enhanced accuracy and scalability. Recent trends in his publications emphasize interdisciplinary applications, such as eye-tracking contact lenses and fault diagnosis in antenna arrays. Awards & Recognition: While no specific awards are listed, his prolific publication record (145+ outputs) and high h-index (1297 citations) reflect significant academic impact. Advising & Grants: Ferranti has supervised 7 documented theses, with students contributing to fields like metamaterial design and nanophotonics. His grants include EU-funded initiatives (e.g., HERC67) and bilateral PhD collaborations. Labs & Teams: He is affiliated with VUB’s photonics and microwave engineering groups, contributing to facilities like the Brussels Photonics Lab and collaborating on advanced fabrication techniques (e.g., two-photon polymerization).

Xiaonan Sean HuangView profile

Assistant Professor

• Soft Robotics
• Tensegrity Robots
• Soft Materials
• +7 more

Xiaonan (Sean) Huang is an Assistant Professor in the Department of Robotics at the University of Michigan, leading the Hybrid Dynamic Robotics Lab (HDR Lab). His research focuses on the design, control, and modeling of autonomous soft robots, particularly those employing tensegrity architectures and novel soft materials. Key areas include soft actuators, sensors, wearable devices, and integration of advanced control algorithms with SLAM and learning techniques. He emphasizes multifunctional materials and systems capable of operating in challenging environments. His lab, the HDR Lab, aims to revolutionize soft robotics through innovations in hardware and software, including shape-morphing actuators, stiffness-tunable materials, and onboard intelligence. Research spans robotics mobility, anomaly detection in vision systems, and collaborative 3D reconstruction. Notable projects include impact-resistant tensegrity robots and benchmarking frameworks for robust perception systems. Publications highlight advancements in tensegrity robotics, sensor fusion, and AI-driven design. While no awards are explicitly listed, his work is recognized through collaborations and high-impact journals/conferences. Advising and grant details are not provided in the text. Sean Huang’s lab fosters interdisciplinary innovation at the intersection of robotics, materials science, and AI, with applications in search-and-rescue, healthcare, and autonomous systems.

Walid BEN AMEURView profile

Professor

• Operations Research
• Network Optimization
• Mathematical Programming
• +3 more

Prof. Walid Ben-Ameur is a Professor at Telecom SudParis, affiliated with the SAMOVAR laboratory. His research focuses on Operations Research, Network Optimization, and Algorithmic Game Theory. He has contributed significantly to areas such as combinatorial optimization, robust network design, and mathematical programming. His work includes advancements in polyhedral combinatorics, stochastic games, and distributed computing frameworks. Recent studies explore strategic investments in social networks, robust routing algorithms, and the theoretical foundations of optimization under uncertainty. While no scientific awards are explicitly mentioned, his prolific publication record highlights impactful contributions to the field. His research often bridges theoretical insights with practical applications in telecommunications and distributed systems. Key research interests include the design of efficient algorithms for network infrastructure, optimization under uncertainty, and game-theoretic models for distributed systems. His articles frequently address challenges in robust network design, opinion dynamics in social networks, and the computational aspects of combinatorial problems. Prof. Ben-Ameur collaborates extensively, with notable contributions to journals like Operations Research Letters, SIAM Journal on Optimization, and Networks. His work often intersects with telecommunications, as evidenced by studies on fiber cable network design and traffic engineering. He has also explored advanced topics such as multipolar robust optimization and the application of game theory to distributed computing environments.

Γαντές ΧαράλαμποςView profile

Professor

• Steel Structures
• Nonlinear Structural Analysis
• Earthquake Engineering
• +6 more

Professor Γαντές Χαράλαμπος serves as Director of the Steel Structures Laboratory at the School of Civil Engineering, National Technical University of Athens (NTUA). He holds a Diploma in Civil Engineering from NTUA (1985), and M.S. (1988)/Ph.D. (1991) from MIT. Since 1994, he has been a faculty member at NTUA, teaching courses on steel structures, nonlinear behavior, and marine structures. His research focuses on steel structures under extreme loads (earthquake, wind, explosion), energy sector infrastructure (wind turbines, pipelines), and deployable systems. Education: Ph.D. in Civil Engineering, MIT, 1991 M.S. in Civil Engineering, MIT, 1988 Diploma in Civil Engineering, NTUA, 1985 Research interests emphasize steel structures' nonlinear behavior, seismic resilience, and innovative designs for energy systems. He leads Eurocode 3 standardization efforts as ELOT TE67/OE3 coordinator and serves on CEN committees. His work spans 100+ journal articles, 175 conference papers, and 3 books including Deployable Structures – Analysis and Design . He advises on major projects like Attiki Odos highway, Attiko Metro tunnels, and Olympic Games infrastructure. Grants and collaborations include international conferences (e.g., EUROSTEEL 2021), journal editorships (IASS Journal), and consulting for structural projects globally. His lab explores cutting-edge topics like composite materials, fire-resistant systems, and fault-crossing pipeline design.

• Computer simulations and modeling of power systems
• Electrical modeling of transformers and cables
• Development of simulation tools
• +8 more

Hans Kristian Høidalen is a Professor at the Department of Electric Energy , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His work focuses on computer simulations and modeling of power systems , particularly transformers and cables, and he leads the development of the ATPDraw simulation tool. Research areas include power system protection , distributed generation , resonant overvoltages in offshore wind farms , and lightning effects on electrical systems . He leads major projects like KPN-project ProSmart (2015–2019) and KPN-project ProDig (2019–2023) , focusing on smart grid protection and digital substation technologies. Recent publications highlight advancements in transient analysis , transformer modeling , and 5G-enabled protection systems . Collaborations span institutions such as Michigan Tech , SINTEF , and ABB , with applications in smart grids , digital substations , and offshore wind farms .

Dag HauglandView profile

Professor

• Combinatorial Optimization
• Global Optimization
• Network Flow Models
• +7 more

Dag Haugland is a Professor in the Department of Informatics at the University of Bergen, Norway, where he conducts research and teaches in optimization, particularly combinatorial and global optimization with applications in network flows, energy systems, and logistics. He is affiliated with the Optimization research group and maintains an active research profile with recent publications in top-tier journals. Research Interests: His work focuses on Combinatorial Optimization , Global Optimization , and Network Flow Models , applying mathematical programming techniques to real-world problems in offshore wind energy, gas pipeline transportation, wireless networks, and vehicle routing. His research emphasizes integer programming, polyhedral analysis, and algorithmic design. Recent Research Trends: His latest publications (2023–2024) address tighter bounds in broadcast time problems and hydropower scheduling, reflecting a continued focus on theoretical and applied optimization in communication and energy networks. Earlier works (2016–2020) explore pooling problems, offshore wind farm cable layouts, and portfolio optimization, demonstrating interdisciplinary reach. Scientific Contributions: Extensive publication record in optimization and operations research. Supervision of multiple PhD and master’s students. Active involvement in conference proceedings and technical reports. Advising and Grants: Dag Haugland has supervised numerous students, including Marika Ivanova and Arne Klein, on topics such as offshore wind farm optimization and multicast tree problems. His work has been supported by Norwegian research funding, including the Research Council of Norway (project reference 249994). He contributes to academic service through conference organization (e.g., Norsk Informatikkonferanse) and collaborative research. Labs and Teams: He is a key member of the Optimization research group at the Department of Informatics, University of Bergen, which focuses on algorithmic and mathematical approaches to complex decision problems in engineering and industry.

Hamid MukhtarView profile

Associate Professor

• Deep Learning
• Natural Language Processing
• Health Informatics
• +7 more

Hamid Mukhtar is an Associate Professor in the School of Computer Science at the University of Birmingham, Dubai campus. His academic work spans research, teaching, and industry collaboration in computer science with a focus on intelligent systems and healthcare applications. His educational background includes: PhD in Computer Science, 2009 (National Institute for Telecommunications, France) MSc in Computer Science (French), 2006 MSc in Computer Science, 2005 BSc in Computer Science, 2003 Dr. Mukhtar's research interests center on deep learning, natural language processing, health informatics, and human behaviour modelling in pervasive environments . His work integrates machine learning with real-world applications in healthcare, wellness, and intelligent user interfaces. He has published extensively on topics including persuasive technology, IoT for health monitoring, and NLP for social and medical data. The recent trend in his publications shows a strong focus on applying AI to public health challenges—such as diabetes prediction, depression detection, and pandemic response—using data from electronic records, wearables, and social media. His interdisciplinary approach bridges computer science with healthcare and behavioral science. He actively supervises master's students and has engaged in industry collaborations and consultancy in data science, software usability, and mobile technologies. He also conducts professional workshops on NLP, Android development, and web technologies. Dr. Mukhtar has taught a wide range of computer science courses including operating systems, AI, NLP, databases, web engineering, and professional ethics.

• Power Electronics
• Electrical Power Engineering
• Renewable Energy Integration
• +12 more

Professor Ahmed Khaled is a leading academic in power electronics and energy systems at the University of Strathclyde, UK, where he serves as Professor and Head of the Power Electronics, Drives, and Energy Conversion (PEDEC) research group within the Department of Electronic and Electrical Engineering, Faculty of Engineering. He holds a PhD from the same university, earned in 2008, and has held academic positions at both the University of Aberdeen and Strathclyde. PhD in Power Electronics, University of Strathclyde (2008) Lecturer in Power Electronics, University of Aberdeen (2011) Promoted to Senior Lecturer (2015) Professor and Research Group Head, University of Strathclyde (current) His research focuses on advanced power electronics for sustainable energy systems. Key areas include HVDC transmission, grid-forming converters, microgrids, offshore wind integration, and electrification of oil and gas platforms. His work contributes significantly to renewable energy integration and smart grid technologies, aligning with UN Sustainable Development Goals in clean energy and industry innovation. The recent publications highlight a strong trend toward modern grid challenges: inertia estimation in low-inertia systems, high-power DC-DC conversion for hydrogen storage and offshore interconnections, and hybrid control strategies. These reflect a focus on stability, efficiency, and scalability in future power systems dominated by inverter-based resources. Scientific recognition includes: Senior Member, IEEE Industrial and Power Electronics Societies Member, Institution of Engineering and Technology (IET) Chartered Engineer, Engineering Council UK Senior Fellow, Higher Education Academy Associate Editor, IEEE Open Journal of Industrial Electronics Society and Elsevier Alexandria Engineering Journal Prof. Ahmed has secured over £6 million in research funding as Principal or Co-Investigator from EPSRC, EU, Royal Society, British Council, Scottish Funding Council, and industry partners including SSE, Rolls-Royce, Iberdrola, and Technip. He has supervised 20 PhD students (12 graduated, 8 ongoing) and leads major projects such as Multi-port DC-DC Converter for All-Electric Ships and Off-grid EV Charging Infrastructure. He also serves on organizing committees for key conferences like IEEE eGrid and IET ACDC. He leads the PEDEC research group and collaborates extensively with industry on real-world applications, including delivering CPD courses for SSE engineers and developing load-bearing cable terminations with Technip. His lab is actively engaged in hardware-in-the-loop testing and control algorithm development for black start and grid-forming operations.

Olimpo Anaya-LaraView profile

Professor

• Power System Dynamics
• Wind Energy Systems
• HVDC Transmission
• +12 more

Olimpo Anaya-Lara is a Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering, United Kingdom. He is a leading expert in power system dynamics and control of wind energy systems, with significant contributions to grid integration, offshore wind technology, and renewable energy system stability. He serves on the Management Team of the EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and is the Course Director of the MSc in Wind Energy Systems. He has led Strathclyde’s participation in the European Energy Research Alliance (EERA) Joint Programme Wind and has held visiting positions at NTNU and SINTEF in Norway. PhD in Electrical Engineering, University of Glasgow, UK (2003) MSc in Electrical Engineering, Instituto Tecnologico de Morelia, Mexico (1997) BEng in Electrical Engineering, Instituto Tecnologico de Morelia, Mexico (1990) His research focuses on power system stability , modeling and control of wind power plants , HVDC transmission , offshore wind integration , and smart grid technologies . He has pioneered control strategies enabling wind farms to emulate synchronous generators, enhancing frequency and voltage support. His work spans advanced power converter systems, fault ride-through, and energy storage integration. He also explores hybrid systems combining wind with hydrogen production and hydropower flexibility. The most recent articles reflect a strong trend toward innovative offshore wind architectures (e.g., XROTOR), low-harmonic HVDC systems, wireless power transmission, and multi-energy systems integrating electricity, hydrogen, and storage. These works emphasize grid compatibility , reliability , and cost reduction in renewable energy deployment. Research spans disciplines including electrical engineering, power electronics, control systems, and sustainable energy. His scientific awards include: Young Presentation Award (2021) Poster Award Winner (2018) Visiting Scientist at SINTEF, Norway (2013) Visiting Professor at NTNU, Norway (2010) Professor Anaya-Lara has supervised numerous PhD and postgraduate research projects, including major grants such as the EPSRC CDT in Wind & Marine Energy Systems, STORE2HYDRO, and XROTOR. He teaches advanced topics in power system stability and wind generator control, and contributes to academic programs in China. He is actively involved in professional service, including editorial roles and conference organization. He leads and contributes to a high-tech multi-terminal DC-network hybrid test-bed for real-time hardware-in-the-loop experimentation, supporting both research and teaching in smart grid concepts.

• Fibre-Optic Sensors
• Optical Sensing
• Smart Grid Monitoring
• +13 more

Dr Grzegorz Fusiek is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde and a senior member of the Advanced Sensors Team within the Institute for Energy and Environment. His work focuses on the design and development of optical sensors for industrial applications in power and energy, oil and gas, nuclear, and civil engineering. Education: PhD in Wavelength Discriminating Devices and Spectrally Encoded Sensors for Dynamic Monitoring of Electrical Plant, University of Strathclyde (2007) MSc, Lublin University of Technology (2000) His research interests center on fibre-optic sensor systems for static and dynamic measurements of temperature, pressure, voltage, current, strain, and vibration. These sensors are applied in electrical plant monitoring, power system protection, fault detection, nuclear reactor diagnostics, and structural health monitoring in harsh environments. He specializes in FBG and FP interferometer-based sensors, sensor interrogation systems, signal processing, and LabVIEW programming. His recent publications highlight advancements in photonic current sensors for HVDC networks, optical overhead line monitoring, and conductor lifetime estimation using optical sag sensors. These works reflect a strong trend toward real-time, distributed optical sensing for smart grid resilience and condition monitoring. Scientific Awards and Recognition: Fellow of the Higher Education Academy (HEA) Member of IET, IEEE, and OSA Dr Fusiek has served as co-investigator on multiple research projects, including those funded by EPSRC and BEIS, focusing on photonic supervision for grid resilience and distributed sensing. He has co-supervised MSc and PhD students and contributed to teaching in electrical circuits and systems engineering. He is also active in academic service as a guest editor for Sensors journal and peer reviewer for Energies and IEEE journals. He leads in the development of datasets and equipment related to optical sensing, including datasets on HVDC protection and optical medium voltage transducer performance. His work supports UN Sustainable Development Goals related to clean energy and industry innovation.

• Orthopedic Surgery
• Pediatric Orthopedics
• Limb Reconstruction
• +3 more

David Frumberg, MD, is an Associate Professor of Orthopaedics and Rehabilitation at Yale School of Medicine and directs the Cerebral Palsy Lifespan Program at Yale New Haven Hospital. He co-directs the Yale Limb Restoration and Lengthening Program and leads the Pediatric Metabolic Bone Program. Education: BS in Biological Sciences from Cornell University (2007) MD from SUNY Downstate College of Medicine (2011) Residency at SUNY Downstate Medical Center (2016) Fellowship in Limb Lengthening & Reconstruction Society (2017) His research focuses on complex orthopedic conditions in cerebral palsy and neurodevelopmental disorders, limb lengthening/reconstruction, and trauma surgery. Recent publications emphasize 3D surgical planning, pharmaceutical interventions like Burosumab, and innovative techniques for bone transport and external fixation. Scientific Awards: Christopher Pavlides, MD, Memorial Award (2011) Arnold Gold Humanism Honor Society (2009) Paul N. Hunt Citizenship Award (2006) Eagle Scout (2003) Dr. Frumberg collaborates with multidisciplinary teams and utilizes state-of-the-art surgical technologies to improve patient outcomes. His work includes clinical trials on genetic bone disorders and biomechanical studies for joint instability.