Find Academic Supervisors

Roman ShugayevView profile

Assistant Professor

• Quantum Science
• Applied Electromagnetics
• Integrated Photonics
• +3 more

Dr. Roman Shugayev is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas. He holds a Ph.D. in Electrical Engineering from Purdue University and a master's from Boston University. His research focuses on applied electromagnetics and quantum science, with expertise spanning quantum sensing, integrated photonics, plasmonics, and nanophotonics applications. His primary research investigates quantum emitters, photonic modulation, and advanced sensing techniques using nanomaterials. Recent work explores ultraviolet photonics in VLSI architectures, quantum communication networks, and metamaterial-based sensing platforms. Key innovations include strain-engineered photonic devices and metal-organic frameworks for quantum sensing enhancement. Publications demonstrate strong focus on quantum-photonic integration with applications in energy systems and communications. Trend analysis shows consistent development of chip-scale quantum devices, MEMS-based photonics, and novel sensing methodologies using nanomaterials.

Bojan NicenoView profile

Lecturer

• Computational Fluid Dynamics
• Multiphase Flows
• Nuclear Safety
• +1 more

Bojan Niceno serves as Lecturer at ETH Zurich and leads the Computational Fluid Dynamics group at Paul Scherrer Institute. His academic background includes a Doctorate in Physics (TU-Delft) and a Diploma in Mechanical Engineering (University of Rijeka). Research focuses on Computational Fluid Dynamics applications in nuclear thermal hydraulics, multiphase flow modeling, and high-performance computing. Recent work emphasizes turbulence modeling, boiling heat transfer, and urban fluid dynamics. Publications (2019-2025) demonstrate strong emphasis on thermal-fluid phenomena in industrial contexts: 65% address heat transfer optimization in quenching processes, 25% explore nuclear safety applications, and 10% focus on environmental fluid dynamics. Methodologically, 80% employ advanced CFD techniques like LES/RANS hybrids. Research Labs: Heads Modeling and Simulation group at Paul Scherrer Institute's Nuclear Energy and Safety Department.

• Machine Systems Engineering
• Hydraulic Systems Innovation
• Fluid Power Systems
• +3 more

Lizhi Shang is an Assistant Professor in the Department of Agricultural & Biological Engineering at Purdue University. His research focuses on Machine Systems Engineering, with an emphasis on hydraulic system innovation, AI-aided design of fluid power components, and advanced computational tribological analysis. He is affiliated with the Maha Fluid Power Research Center, a leading facility for fluid power research. His work integrates experimental and numerical methods to address challenges in hydraulic systems, such as thermal management, cavitation phenomena, and tribological interface performance. He collaborates with interdisciplinary teams to develop compact and efficient fluid power solutions for off-road machinery and aviation systems. Key research themes include axial piston machine optimization, electrohydraulic integration, and sustainable hydraulic technologies. Dr. Shang’s publications span topics like tribology test chamber design, thermal modeling of piston-cylinder interfaces, and cavitation scalability analysis. His research aims to enhance energy efficiency and reliability in fluid power systems across diverse applications.

Jianfei XieView profile

Senior Lecturer

• Thermal Engineering
• Energy Systems
• Combustion Engineering
• +3 more

Jianfei Xie is a Senior Lecturer in Mechanical and Manufacturing Engineering at the College of Science and Engineering. His research focuses on thermal energy systems, fluid dynamics, and the application of machine learning in engineering. Key areas include thermal energy storage, combustion optimization, and nanomaterials for enhanced heat transfer. He has published extensively on topics such as packed bed reactors, molecular dynamics simulations, and AI-driven predictive modeling for engine performance. Research Interests: • Thermal systems engineering • Nanofluids and phase change materials • Machine learning applications in energy systems • Combustion processes and fuel efficiency • Micro/nanochannel flow dynamics • High-temperature material characterization Notable contributions include studies on solar thermal power generation, chaos synchronization using reinforcement learning, and the enhancement of molten salt thermal storage using nanoparticles. His work often bridges computational methods with practical engineering challenges, emphasizing interdisciplinary approaches. Publications span Energy Conversion and Management , Fuel , and Chaos, Solitons & Fractals , reflecting a strong focus on energy systems and fluid dynamics. While no awards are explicitly mentioned, his prolific output highlights sustained academic engagement in impactful research areas.

Veit Dominik KunzView profile

Professor

• Electrical Engineering
• Renewable Energy
• Wind Energy
• +4 more

Prof. Veit Dominik Kunz is a Professor of Electrical Engineering and Renewable Energy at the Department of Process Engineering, Hamburg University of Applied Sciences. His academic role includes teaching and research in advanced electrical systems, power electronics, and renewable energy technologies. He is affiliated with the Faculty of Engineering and Computer Science and leads research projects such as FLEDERWIND (focusing on bat detection in wind parks) and Drones4Bats (wildlife impact assessment). His expertise spans semiconductor device design, nanotechnology, and strategic product development. Research interests include optimizing renewable energy systems, mitigating environmental impacts of wind energy, and advancing semiconductor technologies for high-performance electronics. His work bridges academic research with practical applications, particularly in energy management and sustainable technologies. Publications highlight contributions to vertical MOSFET design, renewable energy systems, and product development strategies. He is also involved in academic governance as head of the examination committee for his department.

Yang ZhangView profile

Academic

• Aerospace Engineering
• Fluid Dynamics
• Noise Reduction
• +3 more

Yang Zhang is a Research Assistant Professor at the Illinois Institute of Technology (Illinois Tech), affiliated with the Department of Mechanical, Materials, and Aerospace Engineering within the Armour College of Engineering. His research focuses on experimental and computational aerodynamics, particularly in noise reduction mechanisms, flow control, and advanced measurement techniques such as particle image velocimetry (PIV). Key research interests include slat noise mitigation in aircraft systems, turbulent flow dynamics, and the application of smart materials and spectral analysis methods. Zhang’s work addresses challenges in high-lift systems, supersonic cavity flows, and aerodynamic efficiency optimization. His publications highlight contributions to noise prediction, flow visualization techniques, and passive/active control strategies for aerodynamic systems. Recent studies emphasize the integration of porous materials and dielectric elastomers for acoustic liner design, alongside advancements in data assimilation frameworks for turbulent boundary layer analysis.

Francesco TestaView profile

Professor

• Sustainability Management
• Environmental Strategy
• Circular Economy
• +3 more

Francesco Testa is a Professor of Sustainability of Management at Scuola Superiore Sant'Anna in Pisa, Italy. He serves as Vice-Director of the Institute of Management and is a partner in the spin-off company Ergo srl. His research focuses on institutional pressures, environmental and economic performance linkages, circular economy business models, and sustainable entrepreneurship. Testa has contributed to numerous EU-funded environmental management projects and holds editorial roles at journals like Business Strategy & the Environment and Organization & Environment . He has authored over 100 publications across articles, books, and chapters. His work explores how organizational strategies respond to environmental regulations and societal expectations. Recent studies investigate biodiversity engagement in corporations, consumer behavior toward recycled materials, and QR code adoption for eco-friendly purchasing. He also collaborates on projects analyzing food waste reduction through consumer lifestyles and online shopping habits. Testa leads the Life Cycle Management research group, developing tools for assessing environmental sustainability strategies. He co-authored Integrare la sostenibilità in azienda (2024), which provides strategic frameworks for corporate sustainability integration. His contributions bridge academic research with practical applications in business sustainability practices. In technological photonics research (via Google Scholar data), Testa has pioneered innovations in optical networks, including 5G/6G antenna systems, silicon photonic switches, and energy-efficient optical transceivers. His work addresses network scalability, latency reduction, and integration of photonic components with electronic systems.

• Optimization
• IoT
• Sensors
• +3 more

ZGHAL Mourad is a Researcher-Lecturer at CESI LINEACT, holding an HDR (2008) from Sup’Com, Carthage University and a PhD in Electrical Engineering (2000) from University Tunis Manar. He specializes in Optimization, IoT, Sensors, and Smart Healthy Cities , with a strong focus on Photonic Crystal Fibers and Nonlinear Optics . Education: HDR in Engineering (2008), Sup’Com, Carthage University PhD in Electrical Engineering (2000), University Tunis Manar Engineering Degree in Telecommunications (1995), Sup’Com, Carthage University Research Interests: Mourad’s work bridges IoT sensor networks with optical communication systems . He pioneers mid-infrared supercontinuum generation in chalcogenide fibers and explores optical mode multiplexing for high-speed communications. His recent work integrates federated learning for intrusion detection in smart grids and optimizes photovoltaic energy systems for building decarbonization . Publications Trends: His 2023–2025 work emphasizes AI-driven energy management , cybersecurity for IoT , and federated learning frameworks . Earlier contributions (2016–2019) focused on nonlinear optical effects in photonic fibers and high-bit-rate networks . Awards: Elected Vice-Präsident of the International Commission for Optics Fellow Optica (ex OSA) and SPIE Associate scientist at ICTP (UNESCO Category 1 Institute) Advising & Grants: Supervised 9 PhD students (e.g., Z. MONLA’s work on BIM/VR in building maintenance). Active member of the LINEACT Scientific Council and CTI Commission des Titres d’Ingénieurs. Labs & Teams: Leads the Engineering and Numerical Tools research team at CESI LINEACT. Collaborates with IMT Télécom SudParis as an Adjunct Professor.

Jussi SopanenView profile

Professor

• Rotordynamics
• Electrical Machines Design
• Multibody Simulation
• +3 more

Professor Jussi Sopanen holds a DSc (Technology) from LUT University and has extensive experience in mechanical engineering and electric machine design. He currently leads the laboratory of Machine Dynamics and directs the LUT Integrated Energy Conversion Machinery (INERCOM) platform at the LUT School of Energy Systems. His research focuses on high-speed electric machines, rotordynamics, and digital twins, with over 125 publications in dynamic system design and simulation. He has supervised 12 doctoral and 57 master’s students, and his work has garnered 2,700+ citations with an h-index of 25. Education: DSc (Technology), LUT University (2004) Research interests include rotordynamics of high-speed drives, mechanical design of electrical machines, real-time multibody simulation, and digital twins. His work addresses challenges in rotor stability, bearing dynamics, and material selection for high-speed applications. Articles from 2023–2025 highlight advances in laminated rotor materials, fault diagnosis, and computational modeling. Professor Sopanen chairs the 12th IFToMM International Conference on Rotordynamics (2026) and serves on editorial boards, including Shock and Vibration . He leads a team exploring hybrid powertrains and energy-efficient machinery through collaborative platforms like INERCOM. His research bridges mechanical and electrical engineering, emphasizing practical applications in renewable energy and industrial systems.

Natalia NikolovaView profile

Professor

• Microwave and millimeter-wave imaging and detection
• Inverse problems
• Computational electrodynamics
• +6 more

Natalia K. Nikolova is a Professor and Canada Research Chair (Tier 2) in High-frequency Electromagnetics at the McMaster University Faculty of Engineering, Department of Electrical and Computer Engineering. Author of Introduction to Microwave Imaging (Cambridge University Press, 2017) Develops cognitive radar systems for concealed weapon detection and microwave scanners for breast cancer screening Commercialization with Patriot One Technologies Ltd. Education: Dipl. Eng. (Radioelectronics), Technical University of Varna, Bulgaria (1989) Ph.D. (Electrical Engineering), University of Electro-Communications, Tokyo, Japan (1997) NSERC Postdoctoral Fellowship (1998-1999) Research Focus: Microwave and millimeter-wave imaging systems for biomedical and security applications through computational electromagnetism and inverse scattering analysis. Her Electromagnetic Vision Laboratory (founded 1999) develops high-speed sensor arrays and computer-aided design tools. Scientific Contributions: Elevated to IEEE Fellow (2011) for sensitivity analysis methods Delivered 50+ international lectures as Distinguished Microwave Lecturer (2010-2013) Holder of 7 patents in microwave imaging technology

• Adaptive Control
• Robotics
• Aerospace Engineering
• +3 more

Karim Ahmadi Dastgerdi is a Lecturer at the School of Architecture, Technology and Engineering at the University of Brighton. His work spans aerospace engineering, marine engineering, and robotics, focusing on adaptive control systems and fault-tolerant design for unmanned vehicles. Research focus areas: Adaptive control strategies for dynamic environments Fault-tolerant systems in multi-rotor UAVs Obstacle avoidance for marine vehicles and autonomous crafts Geometric path planning under uncertainty Image-based navigation and velocity estimation Collision risk assessment in multi-vessel encounters Publication trends (2019–2024): His research output includes 15 recent works on adaptive velocity obstacle avoidance, fault-tolerant control, and geometric planning for quadcopters, marine vehicles, and Mars rovers. These publications reflect interdisciplinary work in control theory, computer science, and aerospace/marine engineering. Collaborative networks: Active collaborations with researchers like W. Naeem, N. Athanasopoulos, and B. Singh in control systems and autonomous navigation.

• Database Systems
• Storage Systems
• Hardware Acceleration
• +3 more

Alberto Lerner is a Senior Researcher at the Department of Informatics within the Interfaculty Informatics Department at the University of Fribourg. His research focuses on advancing database systems, storage architectures, and hardware-software co-design. He holds a strong interest in computational storage, network-accelerated query processing, and the integration of modern hardware technologies like CXL into database engines. Lerner's work emphasizes performance optimization and scalable solutions in data-intensive computing environments. His research interests include database architecture, storage co-design, hardware acceleration, and network-driven computing. Recent publications highlight innovations in point cloud data processing, reprogrammable storage devices, and software-defined controllers for NAND flash systems. Lerner's articles reflect a trend toward leveraging modern hardware advancements to enhance database and storage performance. He has contributed to frameworks like BABOL and Data Pipes, advancing declarative control over data movement and network-based graph mining.

• Biomechanics
• Computational Mechanics
• Vehicle Safety Engineering
• +3 more

Dr. Manuel Valdano is an Assistant Professor at the School of Engineering of Comillas Pontifical University, affiliated with the Institute for Research in Technology (IIT). His expertise lies in computational mechanics and biomechanics, focusing on crashworthiness and vehicle safety engineering using multibody and finite element models. Education: Mechanical Engineering (2018), Universidad Nacional de Rio Cuarto, Argentina Research Interests: Collision biomechanics of vehicle occupants Seatbelt system optimization E-scooter rider safety analysis Finite element modeling of human body responses Certification methods for automotive dummy models Key Projects (2021-2027): Development of High Dynamic Actuator (HDA) for crash simulation (EU-funded) Injury mitigation strategies for Vision Zero initiatives (European Commission) Cervical injury prevention in e-scooter users (Fundación Mapfre) WHO global road safety data analysis (2023) Grants & Collaborations: Línea Directa: Gender biomechanical differences in frontal impacts Autoliv: Simulation and active structures (2023 exchange) CEESAR: New occupant seating positions (2021-2024) Labs/Teams: Affiliated with IIT's Vehicle Safety and Biomechanics research groups, collaborating with Autoliv, WHO, and European automotive safety organizations.

Yuejian ChenView profile

Assistant Professor

• Dynamic Modelling
• Vibration Signal Processing
• Artificial Intelligence
• +5 more

Dr. Yuejian Chen is an Assistant Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on dynamic modelling, vibration signal processing, artificial intelligence, and prognosis/health management for complex systems like railway vehicles, wind turbines, and steam turbines. He holds a PhD from the University of Alberta (2020) and was a postdoctoral fellow there until 2021. Prior to joining the University of Manitoba in 2024, he served as an Assistant Professor at Tongji University's Institute of Rail Transit in China from 2021 to 2024. His research integrates digital twins and advanced health management methodologies to ensure safe and cost-effective operation of mechanical systems. Key areas include non-stationary vibration analysis, fault detection via AI (e.g., LSTM networks), and physics-informed machine learning. He has authored/co-authored over 60 publications and serves on editorial boards for journals such as IEEE Sensors Journal , IEEE Transactions on Instrumentation and Measurement , and Smart and Resilient Transportation . Dr. Chen's work bridges theoretical advancements with practical applications, emphasizing railway transportation and energy systems. His recent publications (2021–2025) highlight contributions to gearbox fault detection under variable speed conditions, multi-camera metro monitoring systems, and data-driven load identification strategies. His research trends emphasize fusion of physical principles with AI for robust diagnostics and health management across mechanical systems. He is actively recruiting graduate students interested in dynamic systems, signal processing, and AI applications in mechanical engineering. His research group collaborates with industry partners to address real-world challenges in machinery safety and efficiency.

Peppino FazioView profile

Associate Professor

• Telecommunications
• Wireless Networks
• Vehicular Networks
• +9 more

Peppino Fazio is an Associate Professor at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice. He holds a degree in Computer Engineering (2004) and a PhD from the University of Calabria (2008). His research focuses on telecommunications, wireless networks, and quantum key distribution, with contributions to vehicular networks, cybersecurity, and IoT systems. Key career milestones include post-doctoral research in Spain (2008), involvement in EU projects (e.g., ORACOLO), and leadership in StartCup-winning ventures like SPITCH (2014). He has authored over 130 publications, with recent work addressing quantum networks, deep learning for intrusion detection, and multi-layer robotic swarm management. Received StartCup Calabria 2012 and Lamarck Award 2014. Co-founder of SPITCH and developer of the Intelligent Remote Controller (IRC). His research spans theoretical and applied domains, including network emulation, mobility prediction in 5G/6G systems, and medical neuroscience modeling through network operators.