Find Academic Supervisors

• Unsteady aerodynamics
• Flow control
• Rotary aerodynamics
• +3 more

Dr.-Ing. André Bauknecht is a Senior Scientist at the Institute of Fluid Mechanics, Technische Universität Braunschweig . He leads independent research groups within the Cluster of Excellence for Sustainable and Energy-Efficient Aviation, and collaborates with both academic and industrial partners. Research focus: unsteady aerodynamics, flow control, rotary aerodynamics, aircraft aerodynamics Key collaborations: flow control for gust/aircraft load reduction, multicopter flow field analysis Academic Background: Degree in aerospace engineering, University of Stuttgart Doctorate (2016) for helicopter rotor aerodynamics research at DLR Göttingen Postdoctoral work at Alfred Gessow Rotorcraft Center (University of Maryland) Research Trends: His recent publications (2022-2024) emphasize flow control technologies for load alleviation in fixed-wing and multicopter aircraft. Key areas include Coanda-type actuation , circulation control airfoils , and multicopter aerodynamic characterization through combined experimental and numerical methods. Technical Expertise: Specializes in blade vortex measurements (2015-2017), multi-camera BOS systems , and large-scale aerodynamic simulations . Current work integrates multifunctional leading edge devices and flow-structure deformation analysis for next-generation aircraft.

Chang-beom EomView profile

Professor

• Heteroepitaxy
• Complex oxide thin films
• Nanostructure fabrication
• +6 more

Chang-beom Eom is the Raymond R. Holton Chair and Theodore H. Geballe Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison. His research group specializes in heteroepitaxy of complex oxide thin films, nanostructures, and device applications, focusing on atomic-scale control for electronic, magnetic, and optical innovations. Education: PhD, Stanford University (1991) MS, Korea Advanced Institute of Science and Technology (KAIST, 1983) MS, Hanyang University (1981) Research Interests: Prof. Eom explores nanostructure fabrication, heteroepitaxy of complex oxides (e.g., ferroelectrics, superconductors), and oxide nanoelectronics. His work targets piezoelectric MEMS/NEMS, magnetoelectric devices, and 2D electron gases at oxide interfaces, emphasizing atomic-layer precision for next-generation quantum materials. Publication Trends: Recent articles (2023–2025) highlight advances in oxide heterostructures, spin transport, and quantum phenomena. Key themes include symmetry-controlled magnetism, noncollinear antiferromagnets, oxide interface engineering, and flexoelectric effects, with applications in spintronics, energy-efficient computing, and terahertz technology. Awards: Honorary Doctorate (DTU, 2023) MRS David Turnbull Lectureship (2022) Vannevar Bush Fellowship (2020) Moore Foundation EPiQS Investigator (2019) Packard Fellowship (1995) Research Group: Leads a team developing oxide thin-film synthesis, characterization, and nano-fabrication techniques. Collaborates globally on projects involving superconducting nanowires, multiferroic heterostructures, and terahertz magnonics. Secured grants from NSF, Moore Foundation, and DARPA for quantum material innovation.

Alan J. SmithView profile

Professor

• Computer Architecture
• Computer Engineering
• Operating Systems
• +4 more

Alan J. Smith is a Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley, within the College of Engineering. With a distinguished career spanning several decades, he has made significant contributions to computer architecture, system performance analysis, and memory systems. Dr. Smith received his S. B. from MIT and a Ph.D. from Stanford University. His educational background provided the foundation for his extensive research in computer systems. Professor Smith's research focuses on computer architecture and engineering, particularly in system performance analysis, I/O systems, cache memories, and memory systems. His work has profoundly influenced how computer systems are designed and evaluated, with particular emphasis on optimizing storage systems, cache performance, and energy efficiency in computing platforms. His research has bridged theoretical analysis with practical implementation, resulting in numerous influential publications and real-world applications. His publication record shows a consistent focus on computer system performance, evolving from early work on cache memory and paging algorithms to more recent research on multimedia workloads, energy management, and storage systems. The breadth of his work spans fundamental computer architecture principles to applied system design, with particular emphasis on measurement-based analysis and optimization techniques. Harry Goode Award of the IEEE Computer Society (2006) IEEE Reynold B. Johnson Information Storage Systems Award (2008) A. A. Michelson Award of the Computer Measurement Group (2003) Fellow of the American Association for the Advancement of Science (2001) Fellow of the ACM (2000) Fellow of the IEEE (1988) Throughout his career, Professor Smith has actively contributed to the academic community through editorial roles, conference organization, and professional society leadership. He has served as Subject Area Editor for the Journal of Parallel and Distributed Computing since 1989, chaired ACM SIGARCH and SIGOPS, and participated in numerous technical committees. His research has been supported by various grants that enabled extensive experimental work and system development. Professor Smith has been instrumental in developing benchmarking methodologies and performance analysis techniques that have become standard practices in computer system evaluation. His work on cache memory systems, in particular his influential 1982 Computing Surveys paper "Cache Memories," has shaped the field for decades.

Hanna VehkamäkiView profile

Professor

• Atmospheric Science
• Physical Chemistry
• Computational Chemistry
• +7 more

Hanna Vehkamäki is a Professor at the Faculty of Science, University of Helsinki , and Vice Dean responsible for well-being, equality, bilingual affairs, and facilities/safety. She leads the Academy of Finland Center of Excellence VILMA (2022-2029) focused on molecular-level atmospheric transformations. Field of Science: Physical Sciences Email: hanna.vehkamaki@helsinki.fi Address: P.O. Box 64, Gustaf Hällströmin katu 2, 00014 Helsinki Her research bridges atmospheric science , physical chemistry , and computational modeling , with a focus on molecular cluster dynamics, ion-induced nucleation, and aerosol-cloud-climate interactions. She develops tools for molecular-level atmospheric simulations and machine learning applications in predicting particle formation. Recent publications highlight her work on APi-ToF mass spectrometer optimization , α-pinene ozonolysis mechanisms , and alkylammonium ion mobility . Her projects include VILMA (Virtual laboratory for molecular-level atmospheric transformations) and Atmospheric Mathematics . Scientific Awards : Finnish Aerosol Research Foundation Distinguished Scientist Award (2014) Magnus Ehrnrooth Foundation award (2010) Suomen Valkoisen Ruusun I luokan ritarimerkki (2022) NOSA Aerosologist Award (2014) University of Helsinki Maikki Friberg award (2015) She supervises Master’s/PhD theses (e.g., hydration layer simulations on K-feldspar) and participates in international conferences (e.g., ISSPIC XVIII, Gordon Research Seminar). Her grants include the Academy of Finland Center of Excellence and the Jane and Aatos Erkko Foundation project RESTART.

Rafael Pereira PiresView profile

Lecturer

• Distributed Systems
• Machine Learning
• Privacy-Preserving Technologies
• +3 more

Rafael Pereira Pires is a Lecturer and researcher at École polytechnique fédérale de Lausanne (EPFL) , affiliated with the Scalable Computing Systems Laboratory (SACS) and IC-SIN units. His research focuses on systems solutions at the intersection of privacy, efficiency, and machine learning in distributed environments. Education PhD in Computer Science (2019, University of Neuchâtel, Switzerland) Professional Master in Mechatronics (2014, IFSC, Brazil) Master in Computer Science (2009, UFSC, Brazil) His work explores privacy-preserving decentralized learning , trusted execution environments , and resource-efficient distributed systems . Recent publications address techniques like model fragmentation, approximate caching, and secure aggregation in decentralized learning contexts. Key trends in his 2023-2025 publications include: Advancements in federated learning and Mixture-of-Experts (MoE) models Applications of Trusted Execution Environments (SGX) to decentralized systems Optimization techniques for energy-aware and low-cost learning Scientific recognition includes the 2019 Léon Du Pasquier et Louis Perrier award for his PhD thesis. He has contributed to open-source tools like DecentralizePy and served as reviewer/PC member for top conferences including NeurIPS , Middleware , and ICDCS .

• Automotive Engineering
• Fluid Machinery
• Computational Fluid Dynamics
• +4 more

Alessandro Ferrari is a Full Professor at Politecnico di Torino's Department of Energy (DENERG) and a key member of the Center for Automotive Research and Sustainable Mobility (CARS@PoliTO) . His academic activities span teaching, research, and industrial collaboration, with a focus on automotive engineering, fluid machinery, and sustainable energy systems. Roles : Vice-Rector for Research Model Development, Scientific Director for industrial projects, PhD Thesis Supervisor Teaching : Advanced computational techniques for thermal/hydraulic machines, Computational heat/mass transfer Research : Fuel injection systems, ammonia combustion, cavitation dynamics, flow measurement Research Focus Professor Ferrari specializes in automotive propulsion systems and fluid machinery with emphasis on: Internal Combustion Engine optimization Computational Fluid Dynamics (CFD) modeling Novel fuel injection technologies Sustainable transport solutions His recent publications show strong trends in: Ammonia combustion for carbon-free fuels Real-time injection control using neural networks Cavitation analysis in GDI injectors Flow rate measurement techniques Academic Leadership As a PhD program director for Energetics since 2014, he has directly supervised 4 doctoral students. His industrial collaborations include patents for injection systems and flow measurement devices with commercial partners. Laboratory Involvement Active in the CARS@PoliTO center, he leads research on automotive sustainability and participates in fluid power experimental testing facilities.

• Power Electronics
• Electrical Machines
• Motor Drives
• +5 more

Paolo Pescetto is a Fixed-term tenure-track Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, where he is also a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center). He serves on multiple academic boards including the College of Electrical and Energy Engineering, College of Computer, Film and Mechatronics Engineering, and College of Mechanical, Aerospace, and Automotive Engineering. His research focuses on power electronics, electrical machines, and motor drives with particular emphasis on electric vehicle applications. His work spans motor control strategies, thermal management of high-power density motors, sensorless control techniques, and integrated power systems for e-mobility. He has developed advanced methodologies for flux mapping, torque ripple compensation, and fault protection in permanent magnet and synchronous reluctance machines. Analysis of his recent publications reveals a strong trend toward solving practical challenges in electric vehicle powertrains, with significant contributions in multi-phase motor drives, thermal management, and fault-tolerant control systems. His work bridges theoretical advances with practical automotive applications, particularly in third-generation electric vehicle technologies. Dr. Pescetto holds multiple patents in motor control technologies, including methods for MTPA tracking without HF injection, spatial harmonic flux-map identification, and isolated on-board battery chargers for electric vehicles. His intellectual property demonstrates practical innovation in the field of motor drives and power electronics. He actively supervises PhD students Andrei Bojoi and Chen Chen in the Electrical, Electronics, and Communications Engineering program, focusing on electric motor drives and sustainable traction electrification. His research projects include commercial contracts on sensorless control of synchronous reluctance machines, firmware implementation for motor control, and advanced sensorless control methodologies for brushless motors. As a member of the PEEMD Research Group within DENERG, Dr. Pescetto contributes to cutting-edge research in power electronics and motor drives, with a strong industry collaboration focus that translates academic research into practical automotive solutions.

• Applied Mechanics
• Automotive Transmissions
• Control and Optimization
• +7 more

Enrico Galvagno is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of the Polytechnic University of Turin. He is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic roles include teaching and supervising courses on Mechanical System Dynamics , Hybrid and Electric Propulsion Systems , and Motor Vehicle Mechanics , as well as serving on doctoral college committees for Mechanical Engineering since 2019. His research interests span Applied Mechanics , Vehicle Dynamics , Hybrid and Electric Vehicles , and Noise, Vibration, and Harshness (NVH) . He focuses on Mathematical Modeling , Control Optimization , and Experimental Mechanics in automotive systems. Recent projects include the OWHEEL benchmarking initiative, EFFEREST for energy management in electric vehicles, and CliMAFlux for axial flux motor drives. Galvagno's scholarly work includes collaborative research on electric powertrain vibro-acoustics , off-road tire modeling , and tracked vehicle simulations . His 2024 publications highlight advancements in nonlinear vehicle dynamics , e-NVH performance , and model order reduction techniques. Scientific Awards and Memberships : Effective member of IFToMM Italy (2019-) Scientific Committee member of IFToMM Technical Committee for Engines and Powertrains (2019-) Effective member of SAE International (2010-) He supervises PhD students Luca Biondo , Luca Ciravegna , and Luca Zerbato , and has led commercial research contracts like Off-Road Tyre Model Integration and Tracked Vehicle Kinematic Modeling for industrial clients.

Tor-Morten GrønliView profile

Professor

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +4 more

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

• Information and Communication Technology
• Electrical and Electronic Engineering
• Artificial Intelligence
• +3 more

Paweł Tarnowski is a researcher at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems , Faculty of Electrical Engineering, Warsaw University of Technology. His work focuses on biomedical signal processing, emotion recognition, and machine learning applications in affective computing and human-computer interaction. Research areas include Information and Communication Technology (ICT) Electrical and Electronic Engineering Artificial Intelligence Neuroscience Human Factors His recent publications highlight trends in emotion recognition using multimodal physiological signals (EEG, EOG, GSR), driver fatigue detection, and deep learning techniques like 1D-CNN for medical diagnostics. Articles also address urban traffic monitoring and neuromarketing research via EEG analysis. At Warsaw University of Technology, he supervises thesis projects and contributes to interdisciplinary research in biomedical engineering and signal processing. Labs/Teams: Institute of the Theory of Electrical Engineering, Measurement and Information Systems .

• Road Traffic Control
• Traffic Automation
• Transportation Systems
• +2 more

Dr. Varga István is a Full Professor at the Budapest University of Technology and Economics (BME) in the Faculty of Transportation Engineering and Vehicle Engineering, and a Scientific Advisor at the HUN-REN Institute for Computer Science and Control. He holds a D.Sc. from the Hungarian Academy of Sciences (2020), a Ph.D. (2007), and an M.Sc. in Transportation Engineering (1998). His primary research focuses on road traffic control and traffic automation systems , with expertise in intelligent transportation solutions and vehicle mechatronics. His research integrates control theory with practical applications in urban mobility, including dynamic traffic light systems, autonomous vehicle impacts, and emission modeling. Recent work explores V2X communication, platooning technologies, and microscopic traffic simulation for urban optimization. He has led major projects such as the national innovation project 'Dynamic, adaptive traffic control services based on digital data sources' (2020-2024) and industrial collaborations with Knorr-Bremse, Siemens, and nuclear energy sectors. Awards include the Hungarian Academy of Sciences Young Prize (2007) and multiple recognitions for technological innovation. Educational activities include courses on Road Traffic Control, Mathematical Methods, and Vehicle System Modeling. Laboratory leadership includes the Road Traffic Control Lab with industry partnerships like Bosch and SWARCO.

Miguel Sales DiasView profile

Researcher

• Machine Learning
• Smart Cities
• Immersive Technologies
• +6 more

Miguel Sales Dias is affiliated with ISCTE - Instituto Universitário de Lisboa, specifically the Iscte Business School. His research spans multiple domains, including Machine Learning , Immersive Technologies , and Urban Mobility . His work focuses on: Developing AI-driven systems for energy consumption optimization in public buildings Creating co-design interfaces for housing customization Exploring mHealth applications for cardiac diagnostics Advancing virtual reality for education and visitor experiences Recent publications demonstrate expertise in smart city solutions , bioinformatics , and human-computer interaction . While specific awards or educational background weren't explicitly mentioned, his extensive publication record indicates significant contributions to interdisciplinary research.

• Energy Policy
• Renewable Energy
• Sustainable Development
• +3 more

Shahriyar Nasirov is affiliated with the Faculty of Economics and Business at the University of the Basque Country , focusing on the Fundamentals of Economic Analysis department. His work is closely tied to the ECEMIN Nebrija Research Group on Economy, Wellness, Business and Internationalization . Research interests span Energy Policy , Renewable Energy , and Sustainable Development . His work emphasizes Chilean energy markets , using Computable General Equilibrium (CGE) modeling and empirical analysis to assess renewable energy expansion, carbon taxation impacts, and market dynamics. Recent publications (2023–2025) explore Chilean electricity market reforms , membrane technology for sustainable mining , and rural off-grid electrification challenges . Key themes include energy economics , environmental policy , and grid integration of renewables . Collaboration networks include policy makers, mining experts, and energy sector stakeholders. Active in analyzing cross-border electricity trade frameworks and storage technologies for grid stability.

Xiaojun CaoView profile

Professor

• Optical Networks
• Wireless Networks
• Network Security
• +3 more

Dr. Xiaojun Cao is a faculty member at the Andrew Young School of Policy Studies, Georgia State University, specializing in optical and wireless network architectures, protocols, and security. His research addresses challenges in bandwidth scalability, network survivability, and future Internet design through innovations in multi-granular switching, traffic grooming, and cross-layer interactions. B.S., Engineering Physics, Tsinghua University, 1996 M.S., Electrical Engineering, Chinese Academy of Sciences, 1999 Ph.D., Computer Science and Engineering, State University of New York at Buffalo, 2004 His work spans three core areas: Optical Network Optimization : Developing waveband switching frameworks for backbone networks, focusing on multi-layer architectures and performance evaluation. Network Survivability : Designing proactive and reactive strategies for protection and restoration in optical and wireless systems. Edge Network Security : Advancing secure service function chain deployment in multi-vendor and zero-trust environments. Recent research trends highlight his leadership in Network Functions Virtualization (NFV) , Edge Computing , and AI-Driven Networking , with publications on blockchain-based federated learning, prompt chain deployment, and asymmetric protection mechanisms. His work bridges theoretical rigor with practical applications in 5G/6G, UAV networks, and smart infrastructure. Dr. Cao leads a research group exploring optical-wireless convergence and has contributed to foundational studies in network virtualization and traffic management.

Konstantinos KantelisView profile

Assistant Professor

• Biological Nanonetworks
• Electromagnetic Nanogrids
• Hybrid Nanonetworks
• +5 more

Konstantinos Kantelis is an Assistant Professor at the Department of Informatics, Aristotle University of Thessaloniki, specializing in Biological Nanonetworks. He holds a PhD in Nanonetworks and has extensive professional experience as a Software Engineer/Manager at Piraeus Bank (2007-2023), preceded by system administration roles at Marfin-Egnatia Bank (2007-2014). Education: PhD in Nanonetworks (2018), Department of Informatics, Aristotle University of Thessaloniki MSc in Nanotechnology and Nanosciences (2012), Department of Physics, Aristotle University of Thessaloniki MSc in Computer Systems Technology (2006), Department of Informatics and Telecommunications, National University of Athens BSc in Mathematics (2003), Department of Mathematics, Aristotle University of Thessaloniki His research focuses on Biological Nanonetworks, Electromagnetic Nanogrids, and energy-efficient wireless communication protocols for IoT systems. He has contributed to projects like Maestro, IntelTriage, and AYGEIAS, developing protocols for LoRaWAN networks and WDM backbone resilience. Recent publications address spatial scheduling in LoRaWAN, earthquake-tolerant routing, and reinforcement learning-assisted protocols. His work bridges nanoscale communication theory with practical IoT implementations, emphasizing energy efficiency and reliability. As an educator, he teaches graduate courses in Communication Networks, Advanced Topics in Biological Nanonetworks, and Applied Mathematics, alongside postgraduate courses in Networks and Internet (2019-2021).