Find Academic Supervisors

• Additive manufacturing
• Advanced materials
• Materials engineering
• +5 more

Federica Bondioli is a Full Professor of Materials Science and Technology at the Department of Applied Science and Technology (DISAT) of the Polytechnic University of Turin. She serves as a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing, the University Quality Assurance Committee, and is the Scientific Contact of the High-level group Technology Council for Advanced Materials. She was President of the National Consortium for Materials Science and Technology (INSTM) from 2020-2023 and is a member of the Board of Directors of the Italian Association for Materials Science and Technology (AIMAT). Education: Graduated in Chemistry from the University of Modena in 1995 PhD in Chemical Sciences from the University of Modena in 1999 Federica Bondioli's research focuses on additive manufacturing and advanced materials. Her work spans functional and structural ceramic materials (primarily for construction), functional coatings, nanomaterials, and innovative materials for additive manufacturing technologies. She has authored or co-authored over 160 scientific papers in international journals. Her research has evolved from traditional ceramic materials to cutting-edge additive manufacturing applications, reflecting her adaptability and forward-thinking approach to materials science. Her recent publications demonstrate expertise across metal additive manufacturing processes, bio-based photopolymers, lignin-based composites, and refractory metals processing. The research shows particular strength in laser powder bed fusion, directed energy deposition, and vat photopolymerization techniques, with emphasis on process optimization, material characterization, and sustainable material development. Scientific Awards and Recognitions: President of the National Consortium for Materials Science and Technology (INSTM) (2020-2024) Member of the Board of Directors of the Italian Association for Materials Science and Technology (AIMAT) (2017-2021) Member of the Board of Directors of the Italian Ceramic Society (multiple terms) Editorial Board Member for MATERIALS journal (2019-present) Editorial Board Member for INDIAN JOURNAL OF MATERIALS SCIENCE (2015-2018) Chairman of the organizing committee for XIII INSTM Conference (2022) Recipient of the Learning to Teach (L2T) Open badge (2023) Federica Bondioli has supervised numerous PhD students across multiple cycles. She has been Principal Investigator of many national and international research projects, including PISCO and IMPACT regional projects. In technology transfer, she has led research with partners like Marazzi Group, Ceramiche Polis, Prima Industrie, and 3DNT. She is a founding member of the spin-off MAT3D, which develops innovative photocurable resins for DLP and SLA additive manufacturing technologies. Her current research projects include BIG - Blue Is Green (2024-2026), LUX-CER-3DPRINTING (2023-2026), ECOBAM (2023-2025), and 3A-ITALY-Spoke 6 (2022-2025), all funded through the PNRR. She leads research teams focused on Additive Manufacturing within DISAT and oversees laboratories including the Material Engineering Didactic Laboratory and the Metallographic Preparation Laboratory.

Johna LeddyView profile

Professor

• Electrochemistry
• Magnetoelectrocatalysis
• Electrochemical energy systems
• +3 more

Professor Johna Leddy is a faculty member in the Department of Chemistry at the University of Iowa. Her research focuses on electrochemistry with an emphasis on magnetoelectrocatalysis, exploring how magnetic fields influence chemical reaction pathways in energy systems like fuel cells and batteries. Key areas include electrochemical energy systems, lanthanide chemistry, and thin-layer sonoelectrochemistry. She has pioneered studies on magnetic field effects on radical reactions and developed composite materials for enhanced electrochemical performance. Education: Postdoctoral Associate, Los Alamos National Laboratory, Fuel Cell Program PhD, University of Texas BA, Rice University Her work integrates fundamental theory with applied research, resulting in numerous patents (e.g., magnetic electrode designs, breath-based sensors) and innovations in electrochemical technologies. Current projects address challenges in hydrogen fuel efficiency and carbon monoxide tolerance in PEM fuel cells. She leads the Leddy Lab, advancing electrochemical methods and catalysis through interdisciplinary approaches. Notable Contributions: Development of magnetically modified electrodes for enhanced catalytic activity Advancements in thin-layer sonoelectrochemical techniques Commercialization of intellectual property through patents Her research also extends to educational innovations, including the use of 3D visualization tools and spreadsheet-based analytical methods for teaching electrochemistry.

Rolando BurgosView profile

Professor

• Power Electronics
• Modular Multilevel Converters
• High Power Density Converters
• +5 more

Rolando Burgos is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, serving as Director of the Center for Power Electronics Systems (CPES). He holds a Ph.D. in Electrical Engineering from the University of Concepcion and has held roles at ABB Corporate Research and Virginia Tech since 2002. His research focuses on high-power density converters, grid power electronics, multi-level converter topologies, and stability analysis of power systems. He has authored over 460 publications and co-directed 80+ projects. Education: B.S. and M.S. in Electronics Engineering (University of Concepcion, Chile), Ph.D. in Electrical Engineering (University of Concepcion, 2002). Research emphasizes modular multilevel converters , wide bandgap devices (SiC) , and grid integration of renewable energy . His work addresses challenges in medium/high-voltage applications, including capacitor voltage balancing , EMI mitigation , and converter efficiency optimization . Key contributions include: Development of 13.8 kV/1.1 MVA flying capacitor converters Advancements in SiC MOSFET parallelization and thermal management Innovative DC circuit breaker designs Scientific Awards: Seven prize paper awards from IEEE conferences. Grants/Advising: Over 80 sponsored projects and co-advising multiple graduate students. His lab focuses on high-density power electronics and power management systems . Labs/Teams: Leads CPES research initiatives in power electronics components and high-density integration, collaborating with industry partners like ABB and Indium Corporation.

Scott SandersView profile

Professor

• Optical Engineering
• Combustion Analysis
• Energy Systems
• +3 more

Scott Sanders is a Professor of Mechanical Engineering at the University of Wisconsin-Madison, with additional affiliations in Electrical & Computer Engineering. His research focuses on developing optical instrumentation and sensors for critical applications in energy, manufacturing, and health. Notable projects include hydrogen leak detection via quadcopter-based imaging, compact optical sensors for liquid fuels, diamond-windowed sensors for molten materials, and fiber-optic battery temperature sensing. He has received prestigious awards such as the NSF CAREER Award and Combustion Institute Silver Medal. Sanders teaches courses including engineering design projects, thermodynamics, and advanced research supervision. His work emphasizes innovations in laser spectroscopy, tomographic imaging, and real-time combustion diagnostics. Education: PhD (2001), MS (1998) Stanford University; BS (1997) Valparaiso University Research Interests: Optical sensors for energy systems, additive manufacturing, and environmental monitoring His labs specialize in high-speed hyperspectral sensing, with applications ranging from internal combustion engines to nuclear reactor monitoring. Sanders has pioneered techniques like backscatter absorption spectroscopy and polymer film-based optical access systems. His recent work addresses SARS-CoV-2 transmission mitigation in classrooms through ventilation and mask efficacy studies. Grants and collaborations include DOE projects on advanced engine combustion strategies. Awards: ASHARE Best Paper (2020), ARO PECASE Nominee (2006), Combustion Institute Silver Medal (2000)

Holger StielView profile

Researcher

• X-ray Spectroscopy
• Laser-Based X-ray Sources
• Soft X-ray Imaging
• +3 more

Holger Stiel is a Senior Scientist and Researcher at the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy in Berlin. He holds multiple roles including Project Coordinator for Project 4.2 'Application Laboratories and Technology Transfer', Project Member of Project 3.3 'Transient Structures and Imaging with X-rays', and Head of the BLiX-Laboratory. His career spans over 30 years in optical and X-ray research, with prior positions at the Zentralinstitut für Optik und Spektroskopie (ZOS) in East Germany and the Institute for Nonlinear Optics and Short Pulse Spectroscopy. Stiel's research focuses on structure-function relationships in photosynthetic systems, X-ray spectroscopy of organic molecules, and development of laser-based X-ray sources. He has pioneered advancements in soft X-ray imaging and transient absorption techniques using laser-produced plasma sources. His work bridges fundamental physics with applied technologies, emphasizing laboratory-scale setups for ultrafast spectroscopic investigations. Notable contributions include innovations in X-ray Fourier transform holography, tabletop setups for picosecond time-resolved scattering, and applications of soft X-ray fluorescence using CMOS detectors. His projects often intersect with material science, nanotechnology, and molecular electronics. Despite no awards explicitly listed, his extensive publication record (over 100 papers) and instrumental roles in multiple research initiatives reflect significant academic impact. Stiel oversees the BLiX-Laboratory, a facility dedicated to imaging and coherent X-ray technologies. His current efforts involve advancing coherent soft X-ray generation for inner-shell absorption studies and optimizing laser-driven systems for ultrafast dynamics analysis. He collaborates widely with institutions across Europe on projects involving transient X-ray spectroscopy and plasma-based X-ray sources.

David J. FleetView profile

Professor

• Computer Vision
• Machine Learning
• Image Processing
• +7 more

David J. Fleet is a Professor in the Department of Computer Science and the Department of Computer and Mathematical Sciences at the University of Toronto. He serves as a CIFAR AI Chair and Faculty Member at the Vector Institute, with additional affiliations at the UofT Robotics Institute. PhD in Computer Science (1990), University of Toronto Research focuses on computer vision, deep learning, visual neuroscience, and computational biology Key contributions in motion analysis, stereopsis, 3D reconstruction, and diffusion models Research Interests: His work explores mathematical foundations for visual motion analysis, human pose estimation, and 3D structure determination in electron cryo-microscopy. Recent projects involve deep learning and diffusion models for video and image synthesis. Scientific Recognition: Recipient of the Koenderink Prize, CIFAR AI Chair, and multiple best paper awards at NeurIPS, CVPR, and BMVC. Former Chair of UTSC's Computer and Mathematical Sciences Department (2012–2017). Students and Collaborations: Mentored numerous PhD and MSc students, including Ali Punjani (co-founder of Structura Biotech) and Sara Sabour (Google Brain). Collaborates with institutions like Google DeepMind (2020–present) and PARC (1999–2003).

Arman OshnoeiView profile

Assistant Professor

• Power Engineering
• Renewable Energy Integration
• Battery Management Systems
• +3 more

Arman Oshnoei is an Assistant Professor at Aalborg University, affiliated with the Faculty of Engineering and Science's Department of Power Electronics System Integration and Materials. His research focuses on renewable energy integration, battery management systems, and AI-driven solutions for smart grids. He leads and participates in high-impact projects like CROSBAT (2023-2026) and BMS-DC (2024), addressing challenges in battery safety, energy efficiency, and data center optimization. Education: Advanced degree in Power Engineering (details not specified). His research interests span power electronics, cybersecurity in energy systems, and predictive control models. Recent work includes optimizing green hydrogen production using AI and enhancing battery lifespan through advanced state-of-charge estimation. He has authored over 78 publications, including a 2025 best paper award for battery balancing techniques. Key Projects: - CROSBAT: AI-based battery lifetime optimization (2023-2026) - BMS-DC: Next-gen battery management for data centers (2024) - REPEPS: Reliable power electronic systems (2021-2023) Dr. Oshnoei also serves as a reviewer for IEEE Transactions on Sustainable Energy and holds grants totaling over €2M in research funding.

Hanseup KimView profile

Professor

• MEMS Actuators and Sensors
• Polymer-Based Bioapplications
• Micro Energy Harvesting
• +6 more

Hanseup Kim is a Professor in the Department of Electrical and Computer Engineering at the University of Utah, with adjunct roles in Biomedical and Mechanical Engineering. He holds the H. Kent Bowen Endowed Professorship and serves as Department Chair. His research focuses on MEMS, biomedical microsystems, energy harvesting, and smart wearable devices. Education: B.S. from Seoul National University (1997), M.S. and Ph.D. from University of Michigan (2002, 2006). Postdoctoral training at the University of Michigan's WIMS Center (2006–2009). Joined University of Utah as USTAR Assistant Professor in 2009, advancing to Professor in 2022. Research interests include MEMS actuators/sensors, polymer-based bioapplications, micro energy harvesters, and integrated circuits. Key projects involve smart contact lenses, adaptive optics for vision correction, and low-power sensor networks. Notable awards: 2012 NSF CAREER Award, 2011 DARPA Young Faculty Award, and multiple best paper awards. Active in grants from NSF, DARPA, and industry, focusing on energy systems, environmental monitoring, and biomedical applications. Labs: Hanseup Kim Research Lab (specializing in Microsystems in Moving Fluids). Teaches courses on microsensors, microactuators, and electric circuits. Supervises interdisciplinary teams in cleanroom fabrication and biological testing facilities.

Mahmoud ShafieeView profile

Professor

• Energy Systems Resilience
• Sustainable Energy
• Structural Health Monitoring
• +13 more

Professor Mahmoud Shafiee is a globally recognized academic and researcher at the University of Surrey , holding the Chair in Resilient Energy at the School of Mechanical Engineering Sciences. He directs the Energy Resilience Centre and leads the REF 2029 Engineering Unit of Assessment . His career spans leadership roles at Cranfield University, University of Kent, and University of Sheffield, alongside research fellowships in Sweden and Canada. He is a Fellow of the Institute for Sustainability and serves on committees for Institution of Mechanical Engineers (IMechE) , European Safety & Reliability Association (ESRA) , and Engineering Integrity Society (EIS) . Education : PhD, Chartered Engineer (CEng), Postgraduate Certificate in Higher Education (PGCHE), Senior Fellow of the Higher Education Academy (SFHEA) Professional Memberships : Fellow of IMechE, Member of IET, BINDT, Energy Institute, and advisory roles at RenewableUK, WindEurope, and GWEC His research focuses on Energy Systems Resilience , Structural Health Monitoring , Digital Twins , Machine Learning , and Circular Economy applications in renewable energy. Recent work integrates Industry 4.0/5.0 technologies into offshore wind and hydrogen systems. His 15 most recent articles emphasize machine learning for energy consumption prediction, digital twins for structural monitoring, and circular economy strategies in wind turbine recycling. Scientific Awards : Best Paper Award 2025 (Energies), Fellow of Institute for Sustainability (IfS) Grants & Collaborations : Principal Investigator for UK-Brazil Smart Wind Monitoring Project; Co-Investigator in €5.3M Horizon Europe Digital Twins for Wind Power; lead in £20M UK Clean Maritime Programme and £1.3M Hydrogen Transportation Project Supervision : Supervised 22 PhD, 80 MSc/MRes, and 200 BEng/MEng students. Highlights include advising on offshore wind life performance, structural monitoring, and PEM Fuel Cell modeling. Editorial Roles : Associated Editor and Editorial Board member for journals in Resilience Engineering, Renewable Energy, and Prognostics & Health Management (PHM). Conferences : Plenary speaker at international events on topics like hydrogen refueling resilience and remanufacturing strategies for renewable assets.

Ravi KarkarView profile

Assistant Professor

• Health Informatics
• Human-Computer Interaction
• Medical Technology
• +4 more

Ravi Karkar is an Assistant Professor at the University of Massachusetts Amherst in the Manning College of Information and Computer Sciences (CICS). He co-directs the Health Tech for the People (HT4P) initiative and contributes to the stakeholder engagement core of MassAITC. His research focuses on designing human-centered tools to empower individuals in managing their health through data-driven insights. Karkar holds a PhD in Computer Science & Engineering from the University of Washington, alongside multiple fellowships and awards, including the STRIDE and PIT Faculty Fellowships (2024). Education: PhD, Computer Science & Engineering, University of Washington (2020) MS, Computer Science & Engineering, University of Washington (2016) MS, Computer Science, Georgia Institute of Technology (2012) BE, Computer Engineering, Gujarat University (2011) Research Interests: Karkar’s work emphasizes tools for chronic disease management (e.g., IBS, cirrhosis, depression), self-tracking technologies, and ethical design of health applications. He explores collaborative care models, personalized interventions, and the intersection of HCI with clinical practices. Recent projects include tools for Alzheimer’s disease support, ethics in healthcare technology, and novel diagnostics like the Beacon device for hepatic encephalopathy. Publications: His research spans health informatics, wearable devices, and chronic condition management, with notable contributions in CHI , DIS , and IEEE-BSN . Key themes include self-experimentation frameworks, patient self-monitoring, and interdisciplinary healthcare innovation. Awards & Recognition: Best Paper Award (Top 1%, CHI 2025) Three-Sixty Fellowship for CSE mHealth Training Institute Fellow (2023) Advising & Grants: Karkar mentors PhD students (e.g., Abhay Sheel Anand, Itir Sayar) and has secured grants through initiatives like STRIDE and PIT. His work bridges academic research with clinical practice, emphasizing real-world impact. Labs & Teams: Co-leads HT4P, fostering equitable health tech design, and collaborates with MassAITC to engage stakeholders in healthcare innovation.

Nian-Ze LeeView profile

Assistant Professor

• Formal Methods
• Hardware Verification
• Software Verification
• +3 more

Nian-Ze Lee is an Assistant Professor at the Department of Electrical Engineering of National Taiwan University, leading the Formal Methods and Analysis for Computing and Engineering Laboratory (ForMACE Lab). He is also a Guest Professor affiliated with the Software and Computational Systems Lab (SoSy-Lab) at Ludwig-Maximilians-Universität München (LMU Munich), Germany. He holds a Ph.D. in Electronics Engineering from National Taiwan University (2021). His research focuses on formal methods, hardware and software verification, and circuit-based analysis. Education: Ph.D. in Electronics Engineering, National Taiwan University (2021) Research Interests: Formal methods for hardware and software systems Model checking and verification frameworks Circuit-based program verification (e.g., Btor2C translator) Algorithm selection for verification tools Awards: ACM SIGSOFT Distinguished Paper Award (2025) Best Artifact Award (2024) DFG Grant for Bridging Hardware and Software Analysis (2024) Advising & Grants: Supervises Ph.D./Master’s students on topics like algorithm selection and verification frameworks Recipient of DFG grant enabling collaboration between NTU and LMU Munich Labs/Teams: ForMACE Lab (NTU) – Focuses on formal methods and system analysis SoSy-Lab (LMU) – Collaborations on verification tools and frameworks

Elona ShatriView profile

Lecturer

• Optical Music Recognition
• Deep Learning
• Artificial Intelligence
• +3 more

Elona Shatri is a PhD candidate at the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM) and a visiting lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. She specializes in Optical Music Recognition (OMR) using Deep Learning and is a leading advocate for ethical AI practices. Her research focuses on advancing OMR techniques, including GAN-based music synthesis and dataset development (e.g., DoReMi), while addressing challenges in low-data scenarios and historical manuscripts. She teaches postgraduate courses on Machine Learning and Visual Data Analysis, blending technical rigor with creative applications. Research Interests : OMR with deep learning, ethics in AI, generative AI models, music informatics, and interdisciplinary collaborations between AI and the arts. Awards : Recipient of the Best Student Paper Award at the 2024 Knowledge Discovery in OMR conference for her work on instance segmentation. Projects : Co-lead on the UK-Qatar AI Collaboration (2024–) and the CREAATIF project examining AI in creative industries. Founded the QMUL AI and Ethics Research Group, fostering interdisciplinary dialogues on fairness, transparency, and societal impacts of AI. Labs/Teams : Centre for Digital Music (C4DM), part of Queen Mary's School of Electronic Engineering and Computer Science.

Thomas ClarkView profile

Professor

• Photonics
• Microwave Photonics
• Integrated Photonic Circuits
• +4 more

Thomas Clark is a Professor in the Department of Electrical and Computer Engineering (ECE) at Michigan State University (MSU), part of the College of Engineering. He specializes in low-noise and ultrafast lasers, photonic systems, and millimeter-wave photonics, with applications in communications, sensing, and signal processing. Dr. Clark holds a Ph.D. from the University of Maryland (1998), an M.S. from Lehigh University (1993), and a B.S. from Loyola College of Maryland (1991). His research focuses on microwave photonics, photonic integrated circuits, and emerging technologies like quantum computing and AI-driven autonomy. He has authored over 100 publications and holds 11 patents. Key professional roles include Program Area Manager for Advanced Concepts at Johns Hopkins University Applied Physics Laboratory (2012–2024), leadership in IEEE Photonics Society, and organizing major conferences like the IEEE Photonics Conference (2016). Clark’s work emphasizes agile, reconfigurable systems and has been recognized with awards such as the 2017 Outstanding Mission Accomplishment Award and multiple Outstanding Development Paper Awards. His contributions span government, industry, and academia, including roles at the Naval Research Laboratory and a telecommunications startup. Research trends in his articles highlight advancements in integrated optical beamforming, millimeter-wave systems, and photonic analog-to-digital converters. His publications frequently address challenges in signal processing, noise reduction, and high-speed data transmission. Professional memberships include Optica and IEEE senior membership, with active participation in technical committees for microwave photonics and fiber optics. Clark’s advising and grants focus on fostering innovation in photonics and microwave systems. He has led teams in developing cutting-edge technologies for defense, telecommunications, and emerging fields like quantum computing. His lab work emphasizes cross-disciplinary collaboration to address real-world technical challenges.

Wen LiView profile

Professor

• MEMS/NEMS technologies
• Micro sensors and actuators
• Biomimetic devices
• +6 more

Dr. Wen Li is a Professor in the Department of Electrical and Computer Engineering at Michigan State University's College of Engineering. She leads the MicroTechn Laboratory and is affiliated with the Institute for Quantitative Health Science & Engineering. Her research focuses on micro/nano systems for biomedical applications. Ph.D., California Institute of Technology (2009) M.S., California Institute of Technology (2004) M.E., Tsinghua University (2003) B.E., Tsinghua University (2001) Her work spans MEMS/NEMS technologies , biomimetic devices , and neural interfaces , with applications in intraocular pressure monitoring and implantable neuroprosthetics . Current projects include diamond-based microelectrodes and graphene nanosensors for biomedical applications. Recent publications highlight advancements in transparent neural arrays, wireless ocular sensors, and optogenetic interfaces. Her lab employs cutting-edge fabrication techniques for biomedical microsystems. Innovator of the Year Award (2024) NSF CAREER Award (2011) Best Paper Awards at IEEE EMBC, BioCAS, and 3M-NANO Dr. Li's team has secured funding from NIH, NSF, Wellcome Trust, and the State of Michigan. The lab trains 4 PhD students, 3 undergraduates, and collaborates across disciplines.

Hans M. WyssView profile

Associate Professor

• Microfluidics
• Soft Matter
• Colloidal Suspensions
• +4 more

Hans M. Wyss is an Associate Professor in Microfluidics and Soft Matter at TU/e's Department of Mechanical Engineering. He leads a research group studying meso-scale materials such as colloids, emulsions, and hydrogels using microfluidics-based tools. His work explores mechanical properties, microgel dynamics, and phoretic forces, including groundbreaking insights into the 'exclusion-zone' effect. Wyss holds a PhD from ETH Zurich and a postdoc at Harvard. He collaborates with ICMS and international groups, and partners with FrieslandCampina and Wetsus. Current projects include indoor air quality monitoring (2023–2027). Courses taught include Experimental Soft Matter and Engineering Design. His research impacts UN SDGs related to health and innovation. Education: PhD (Materials Science, ETH Zurich), Experimental Physics (ETH Zurich) Research Themes: Hydrogel mechanics, soft material rheology, microfluidic tools Key collaborations include Zhejiang University and industry partners. Notable achievements include over 3,950 citations and 90+ publications. His lab focuses on translating fundamental insights into biomedical applications like glaucoma implants.