جستجوی استاد راهنمای دانشگاهی

Alex Alvaradoمشاهده پروفایل

استاد

• Optical Communications
• Wireless Communications
• Information Theory
• +۳ مورد دیگر

Alex Alvarado is a Full Professor in the Signal Processing Systems department at Eindhoven University of Technology (TU/e), leading the Information and Communication Theory Lab (ICT Lab). He is also affiliated with TU/e's Center for Wireless Technology in Eindhoven. His academic career includes roles as a Senior Research Associate at University College London (2014–2016), Marie Curie Intra-European Fellow (2012–2014), and Newton International Fellow (2011–2012) at the University of Cambridge. Alvarado is a Senior Member of the IEEE and has held editorial and committee positions in major conferences like OFC and ECOC. Alvarado holds an Electronics Engineer degree (2003) and MSc (2005) from Universidad Técnica Federico Santa María, Chile, followed by a Licentiate of Engineering (2008) and PhD (2011) from Chalmers University of Technology, Sweden. His research focuses on high-speed secure data transmission in optical and wireless systems, emphasizing energy-efficient algorithms and theoretical limits of telecommunication systems. Key areas include communication theory, information theory, optical fiber systems, and nonlinear interference mitigation. His recent articles explore advanced modulation formats, machine learning applications for channel estimation and decoding, and innovations in free-space optics and MIMO systems. This work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and responsible consumption through energy-efficient communication solutions. Scientific Awards: ERC Starting Grant (2018) NWO VIDI Grant (2016) 2015 Journal of Lightwave Technology Best Paper Award 2015 IEEE Exemplary Reviewer Award 2018 and 2023 Asia Communications and Photonics Conference Best Paper Awards 2019 Optoelectronics and Communications Conference Best Paper Award Alvarado's advising contributions include supervising 12 research works. His grants include NWO VIDI and ERC Starting funding. He leads projects like NESTOR (Next-gen optical networks) and LaiQa (Quantum Key Distribution). His lab, the ICT Lab, drives theoretical and applied research in communication systems.

• Microwave Engineering
• RF Systems Design
• Power Amplifier Design
• +۷ مورد دیگر

Christian Fager is a Full Professor at the Department of Microwave Electronics, Chalmers University of Technology, Sweden. He has been affiliated with Chalmers since completing his Ph.D. there in 2003. As Head of the Microwave Electronics Laboratory, his research focuses on nonlinear transistor modeling, energy-efficient power amplifier architectures, and distributed MIMO systems. He has co-invented 8 patents and published over 250 papers, including a seminal book on Nonlinear Transistor Model Parameter Extraction Techniques (Cambridge University Press, 2011). Dr. Fager holds editorial roles as Associate Editor of IEEE Microwave Magazine and member of the MTT-S Technical Coordination Committee on Wireless Communications. He is a Board Member of the European Microwave Association (EuMA) and has chaired multiple IEEE topical conferences. His awards include the Chalmers Supervisor of the Year (2018), inaugural Area of Advance Award (2010), and IEEE IMS Best Student Paper (2002). He leads research initiatives in distributed antenna systems, digital pre-distortion, and GaN/SiGe-based high-efficiency amplifiers, with projects involving testbed development for 5G/6G applications. His work bridges theoretical modeling and practical implementation in RF/microwave systems, emphasizing thermal and multi-physical simulation integration.

Peter Nockemannمشاهده پروفایل

استاد

• Energy Storage
• Ionic Liquids
• Sustainable Metal Separation
• +۳ مورد دیگر

Professor Peter Nockemann is a faculty member at Queen's University Belfast, serving as Professor in Inorganic and Materials Chemistry and Director of Research. He leads research in ionic liquids, energy storage, and sustainable metal separation. His work addresses critical challenges in renewable energy systems and rare earth metal recycling, contributing to UN Sustainable Development Goals. He co-founded Green Lizard Technologies Ltd., a startup focused on clean energy solutions. Nockemann holds a Royal Society of Chemistry Fellowship and has received awards for innovation and sustainability. Research Interests: Ionothermal synthesis of advanced materials Redox flow battery electrolyte development Environmental applications of ionic liquids Urban mining and rare earth recycling Key Achievements: Developed novel electrolytes for high-energy-density batteries Pioneered ionic liquid-based metal separation techniques Recipient of AkzoNobel Imagine Chemistry Award (2018) Co-creator of a scalable rare earth recycling plant Current Projects: 3D-printed redox flow battery systems High-power-density electrolyte formulations Sodium semi-solid-state battery development

Benoît H. Lessardمشاهده پروفایل

دانشیار

• Organic Electronics
• Materials Science
• Nanotechnologies
• +۴ مورد دیگر

Benoît H. Lessard is an Associate Professor and Tier 2 Canada Research Chair in Advanced Polymer Materials and Organic Electronics at the Department of Chemical and Biological Engineering , University of Ottawa . His research focuses on developing low-cost, sustainable electronic materials and their integration into next-generation devices, emphasizing biodegradability, flexibility, and environmental compatibility. Research interests include organic thin-film transistors (OTFTs), polymer-based sensors, and nanomaterials for electronics. He leads the Lessard Research Group , fostering interdisciplinary partnerships with industry and academia. Key achievements include pioneering work on silicon phthalocyanine semiconductors and cannabinoid sensing technologies. Current affiliations: Faculty of Engineering, School of Computer Science and Electrical Engineering (collaborative). Awards: Early Career Researcher Award (2021), Glinski Prize (2020), John C. Polanyi Prize (2015). Supervision: 6 current PhD/MSc students, including Alexander Peltekoff and Nic Boileau. Publications emphasize advancements in OTFT stability, biocompatible materials, and sensor applications. Recent work explores rapid prototyping techniques and high-throughput characterization for accelerating material discovery.

Mark McKennaمشاهده پروفایل

دانشیار

• Film and Media Industries
• Media Regulation and Censorship
• Marketing and Branding in Film
• +۸ مورد دیگر

Mark McKenna is an Associate Professor at Staffordshire University, specializing in the interdisciplinary analysis of film and media industries. His research integrates aesthetic, economic, social, and technological perspectives, focusing on power structures shaping global media, including censorship, marketing, and labor dynamics. PhD in 'Rethinking the Video Nasties' (University of Sunderland) BA (Hons) in Electronic Media Design (University of Sunderland) His work explores media regulation , distribution of controversial content , stardom economics , and social media self-performance . Recent projects analyze film distribution, extreme media celebration, and the promotional role of celebrity. McKenna co-edits the Horror Franchise Cinema series and is authoring Big Wednesday: Genre, Myth & Trauma for Routledge. His publications span books and chapters addressing video nasties, snuff media, and horror franchises. Director of the Centre for Research in Digital Entertainment and Media Industries (DEMI) Former director of award-winning companies focusing on widening participation in education Member of BAFTSS and SCMS; advisory board for Intellect Journal of Class & Culture

Tommaso Calarcoمشاهده پروفایل

استاد

• Quantum Optimal Control
• Quantum Computing
• Quantum Technologies
• +۳ مورد دیگر

Tommaso Calarco serves as Director of the Institute for Quantum Control (PGI-8) at Jülich Research Centre, leading cutting-edge research in quantum optimal control methodologies for next-generation quantum technologies. His work focuses on developing transformative computational frameworks applicable to natural sciences, logistics, and high-performance computing through advanced quantum device engineering. His research spans quantum optimal control for computation and many-body systems, emphasizing physical model development, model reduction techniques, and machine learning integration for scalable quantum hardware. Key focus areas include spin-qubit optimization, diamond quantum register engineering, and error suppression in gate operations, with significant contributions to ultracold atom systems and semiconductor-based quantum platforms. Analysis of his 2024-2025 publications reveals concentrated efforts on hardware-specific challenges across multiple quantum modalities: spin shuttling fidelity in semiconductor systems, gate optimization for nitrogen-vacancy centers, and photon-spin interface engineering. This work demonstrates a unifying thread of optimal control solutions tailored to platform-specific decoherence mechanisms and scalability constraints. As Director of PGI-8 within the Peter Grünberg Institut, Calarco oversees a dedicated research team advancing quantum control theory and applications, contributing substantially to European quantum technology roadmaps including the Quantum Flagship initiative and strategic European Commission reports.

Philip Basfordمشاهده پروفایل

دانشگاهی

• Medical Imaging
• Biomedical Engineering
• Sensor Networks
• +۴ مورد دیگر

Dr. Philip Basford is a Senior Research Fellow in the Computational Engineering and Design Group at the University of Southampton. His work focuses on advancing medical imaging technologies and sensor networks. He contributed to the Foundations for routine 3D X-ray histology project and is part of the µ-VIS X-ray Imaging Centre, managing IT infrastructure for complex datasets. He holds a MEng in Computer Science from the University of Southampton and completed his PhD there on the Glacsweb project, developing glacier monitoring technologies. His research awards include the Vice-Chancellor’s Award for the 'Erica the Rhino' project, which used Raspberry Pi systems for interactive art installations. Recent research explores IoT applications in environmental monitoring, edge computing with Raspberry Pi clusters, and archaeological imaging via the Geodesic RTI dome. His publications span biomedical imaging, coral morphology, and particulate matter sensing technologies. External contributions include speaking engagements on Raspberry Pi clusters at FRµIT events (2018). His work bridges computational engineering with interdisciplinary applications in medicine, ecology, and forensics.

José Rodolpho de Oliveira Leoمشاهده پروفایل

استادیار

• Materials Engineering
• Manufacturing Processes
• Oxide-Dispersion-Strengthened (ODS) Steels
• +۵ مورد دیگر

Dr José Rodolpho de Oliveira Leo is an Assistant Professor at the University of Warwick , School of Engineering (joined May 2023). Previously, he spent nearly eight years as a lecturer at Coventry University and has extensive industrial consulting experience in mining, steel, oil & gas, and energy sectors. He is a Fellow of the Higher Education Academy (FHEA) and a Chartered Engineer (CEng) . Education BSc in Mechanical Engineering, Universidade Federal de Minas Gerais (UFMG), Brazil, 2011 – final-year project on die-sinking electrical discharge machining. PhD in Materials Engineering, The Open University, UK, 2016 – thesis on creep and anelastic recovery of steels for advanced nuclear reactors. Research Interests Rodolpho’s research spans materials characterisation of metals and alloys, focusing on oxide-dispersion-strengthened (ODS) steels , titanium alloys and nickel superalloys . He investigates creep, fatigue and mechanical testing under extreme conditions and develops manufacturing processes such as machining, welding and additive manufacturing. He also explores control and automation applied to manufacturing systems and conducts pedagogical research on modern engineering curricula and teaching practices. Across his publications, a clear trend emerges: cutting-edge metallurgical studies (ODS steels, Ti-alloys) combined with advanced manufacturing techniques (additive manufacturing, EDM, laser shock peening) and a parallel stream of scholarship on engineering education, assessment and technology-enhanced learning environments. Scientific Awards & Professional Recognition Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) – Institution of Engineering & Technology (MIET) Teaching & Supervision In 2024/2025 Rodolpho leads or co-leads four key modules: ES3E8 – Precision, Measurement & Control ES2F9 – Dynamics & Vibrations (EMDA) ES2J7 – Fundamentals of Manufacturing ES3H7 – Group Project (EMDA) He is presently open to supervising fully funded PhD students and welcomes informal discussions for MSc or PhD project ideas. Office & Contact Office A420, School of Engineering, University of Warwick, Coventry CV4 7AL, UK Advice & feedback hours: Wednesdays & Fridays 10:00–12:00 during term time or by appointment.

Jihua Gouمشاهده پروفایل

استاد

• Composite Materials
• Nanocomposites
• Advanced Manufacturing
• +۳ مورد دیگر

Jihua Gou serves as Professor and Graduate Program Coordinator at the University of Central Florida, leading the Composite Materials and Structures Lab with research spanning aerospace, biomedical, and energy applications. His work bridges fundamental material science with industrial implementation through NASA collaborations and industry partnerships. His academic foundation includes: Bachelor's and Master's degrees in Materials Engineering from Chongqing University (1993, 1996) Ph.D. in Materials Engineering from Shanghai Jiao Tong University (1999) Ph.D. in Industrial Engineering from Florida State University (2002) Professor Gou's research centers on composite materials and structures , nanocomposite materials , multi-functional coatings , and advanced manufacturing processes . His lab pioneers machine learning integration for predicting material behavior in extreme environments, develops tissue-mimicking hydrogels for medical applications, and creates hydrogen-resistant coatings critical for space exploration. Recent breakthroughs include materials preventing hydrogen leaks in NASA's Artemis program and high-temperature coatings for turbine systems. Analysis of his 2020-2025 publications reveals three dominant research thrusts: (1) AI-driven modeling of ceramic composites for hypersonic applications, (2) biomimetic hydrogel development for lung tissue equivalence, and (3) nanotechnology-enhanced manufacturing for multifunctional composites. These intersect at the crossroads of materials informatics, sustainable manufacturing, and extreme-environment performance. His scientific recognition includes: UCF CECS Distinguished Researcher Award (2012) Best Paper Award, American Society of Civil Engineers (2010) Best Poster Award, American Ceramic Society (2014) UCF Teaching Incentive Program Award (2017) As Graduate Program Coordinator, Professor Gou mentors doctoral candidates in materials engineering and secures significant research funding through NASA partnerships and UCF initiatives. His lab currently directs projects on hydrogen infrastructure materials, thermal protection systems for hypersonic vehicles, and 3D-printed smart composites with self-healing capabilities. The Composite Materials and Structures Lab maintains specialized facilities for nanocomposite synthesis, in-situ characterization, and extreme-condition testing. Current team efforts include developing carbon nanotube-reinforced coatings for spacecraft, machine learning frameworks for ablation prediction, and biodegradable hydrogels for medical implants, positioning the lab at the forefront of next-generation material solutions.

Zhenfei Liuمشاهده پروفایل

دانشیار

• Theoretical Chemistry
• Computational Materials Science
• Energy Conversion
• +۳ مورد دیگر

Zhenfei Liu is an Associate Professor in the Department of Chemistry at Wayne State University, affiliated with the College of Liberal Arts and Sciences. His research focuses on theoretical and computational studies of electronic structure at molecule-substrate interfaces and nanostructured materials. Key areas include developing new electronic structure methods, studying functional materials for energy conversion, and analyzing charge transport in molecular junctions. He holds a B.S. from Peking University (2007), a Ph.D. in theoretical chemistry from UC Irvine (2012), and completed a postdoc at Lawrence Berkeley National Laboratory (2012–2018). His work is supported by grants from NSF, DOE, ACS, and the Sloan Foundation. Research interests emphasize first-principles methods for predicting energy conversion mechanisms in quantum dots, metal-organic frameworks, and 2D materials. He explores charge transport properties in molecular junctions and defects' impact on material performance. Notable awards include the 2024 Alfred P. Sloan Fellowship and NSF CAREER Award. He teaches advanced courses in quantum chemistry and statistical thermodynamics, and leads the Liu Group at WSU.

Vladimir Okhmatovskiمشاهده پروفایل

استاد

• Electromagnetics
• Computational Electromagnetics
• High-Performance Computing
• +۴ مورد دیگر

Dr. Vladimir Okhmatovski is a Full Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, affiliated with the Price Faculty of Engineering. His research focuses on fast algorithms in electromagnetics, quantum computing, and high-performance computing. He holds a Ph.D. from the Moscow Power Engineering Institute and has held academic and industry roles globally. He has received prestigious awards including the 2017 Intel Outstanding Researcher Award. Education: Ph.D., Antennas and Microwave Circuits, Moscow Power Engineering Institute, 1997 M.S., Radiophysics and Electronics, Moscow Power Engineering Institute, 1996 Research Interests: Dr. Okhmatovski develops advanced computational methods for electromagnetics, including tensor train decompositions and quantum algorithms. His work addresses challenges in signal integrity, layered media analysis, and inverse scattering. He leads efforts in applying quantum computing to solve matrix equations and has pioneered fast direct solvers using H-matrices. Awards: 2017 Intel Outstanding Researcher Award 1996 Best Young Scientist Report (VI International Conference on Mathematical Methods in Electromagnetic Theory) 2007 Outstanding ACES Journal Paper Award Advising & Grants: He mentors students in climate change research through collaborations with the Centre for Earth Observation Science. His funded projects include quantum computing applications and Arctic sea ice remote sensing. He chairs technical committees for IEEE MTT-S and AP-S. Labs/Teams: His research group focuses on electromagnetic modeling, quantum algorithms, and layered media analysis. Collaborations include the Churchill Marine Observatory for Arctic studies.

Kyriakos Deliparaschosمشاهده پروفایل

پژوهشگر

• Autonomous Vehicles
• Control Systems Design
• High Performance Computing
• +۶ مورد دیگر

Kyriakos Deliparaschos is affiliated with the Cyprus University of Technology as a Researcher. His work focuses on cutting-edge technologies in autonomous systems, control systems design, and FPGA-based implementations. He collaborates actively with institutions like the Institute of Communications and has co-authored papers with experts such as Argyrios Zolotas and Themistoklis Charalambous. His research interests span autonomous robotics, medical robotics, and high-performance computing, with a strong emphasis on real-time systems and embedded hardware-software co-design. Notable contributions include advancements in Delaunay triangulation algorithms for multi-core architectures and fault-tolerant AI systems for autonomous vehicles. Deliparaschos has published widely in journals like IEEE Access and Electronics, focusing on topics such as computational resource management in cloud environments and FPGA-driven control system paradigms. His work bridges theoretical research with practical applications in both academia and industry.

Se-Hee Leeمشاهده پروفایل

استاد

• Nanostructured Materials
• Electrochemical Energy Systems
• Batteries
• +۴ مورد دیگر

Professor Se-Hee Lee is a faculty member in the Department of Materials Science and Engineering at the University of Colorado, specializing in nanostructured materials for electrochemical energy systems. Her research focuses on developing high-performance materials for batteries, supercapacitors, fuel cells, and electrochromic devices. She leads the Electrochemical Energy Laboratory, which emphasizes materials design, synthesis, characterization, and device fabrication. Key achievements include the 2010 COTLABS Governor’s Award for electrochromic window research and the 2009 R&D 100 Award for the PowerPlane UX Microbattery. Her work spans solid-state electrolytes, silicon-based anodes, and advanced coating technologies. Research interests include nanostructured metal oxides and chalcogenides, with a focus on addressing challenges like electrode-electrolyte interface stability and volumetric expansion. Awards include invited speaker roles at the 2008 Japan-American Frontiers of Engineering Symposium. Her patents cover thin-film batteries, nano-composites, and hydrogen sensors. Lab locations are in ECNW 160C (office) and ECES 127 (laboratory). Over 50 publications highlight her contributions to solid-state battery technology, including advancements in silicon anodes, ionic liquid electrolytes, and covalent organic frameworks. She collaborates on grants targeting sustainable energy solutions and has pioneered methods like slurry-coated anodes and operando imaging techniques for electrolyte analysis.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Hongjie Wangمشاهده پروفایل

استادیار

• Power Electronics
• Electric Vehicle Charging
• Resonant Converters
• +۲ مورد دیگر

Hongjie Wang is an Assistant Professor in Electrical and Computer Engineering at Utah State University, where he serves as co-director of the Utah State University Power Electronics Laboratory and leads the NSF ASPIRE ERC Charging Stations of the Future project. His research focuses on power electronics for transportation electrification, particularly extreme fast charging systems and dynamic wireless power transfer. Research domains include: High-efficiency resonant converter design Grid integration of EV charging infrastructure Second-life battery applications in energy storage Dynamic wireless power transfer for in-motion charging Thermal management of power electronics Recent publications demonstrate innovations in unfolding-based AC-DC converters, load modeling for large-scale charging infrastructure, and reinforcement learning approaches for grid-integrated charging optimization. His work has received multiple best paper awards including recognition from IEEE ECCE and IEEE IAS.