Find Academic Supervisors

• Spin Transport
• Magnetic Thin Films
• Spintronics
• +5 more

Dr. Liam O'Brien is a Reader in the Department of Physics at the University of Liverpool and a member of the Condensed Matter Physics group and Materials Innovation Factory. His research spans spin transport in nanoscopic devices, magnetic heterostructure growth, and nano-fabrication techniques. Previously, he held a Marie Skłodowska-Curie individual fellowship (2012-2015) and an early career lectureship at the Cavendish Laboratory, University of Cambridge (2014-2017). Education: MSc, University of Oxford (2006) PhD, Imperial College London (2011) His research focuses on spintronic devices , magnetic thin films , and quantum transport , with recent work on Dirac nodal arc semimetals and THz rectenna applications. Articles highlight trends in quantum computing , magnetic imaging , and nanofabrication . Notable grants include funding from the Medical Research Council , BBSRC , and EPSRC . Key scientific awards include the Marie Skłodowska-Curie individual fellowship . He advises on spin valve architectures and artificial spin ice , with teaching roles in Correlated Electron Materials and Magnetic Properties of Solids . His lab at the Materials Innovation Factory explores glancing multi-angle deposition and non-local spin transport .

Vincent BARRAView profile

Professor

• Data Analysis
• Image Processing
• Video Processing
• +6 more

Vincent BARRA is a full professor in Computer Science at the LIMOS lab of Clermont-Auvergne University and CNRS. He serves as Vice dean of Clermont-Auvergne-INP (education and training), Assistant director of LIMOS, and Artificial Intelligence Special Advisor for Clermont-Auvergne University. He is also a member of the scientific board and Executive committee of MIAI Cluster. His academic work is primarily conducted through ISIMA, the engineering school in computer science of Clermont-Auvergne INP. Professor BARRA's research focuses on data analysis from both methodological and applicative perspectives. His work spans image and video processing, mesh processing, computational geometry, and machine/deep learning techniques. His interdisciplinary research connects computer science with applications in medical imaging, geothermal systems, polymer dynamics, mental health diagnostics, semiconductor manufacturing, and environmental monitoring. His publications demonstrate consistent innovation in developing algorithms for segmentation, feature extraction, and pattern recognition across diverse domains. The analysis of his recent publications reveals strong trends toward deep learning applications in specialized domains. His work shows increasing focus on medical applications (depression diagnosis, preterm birth prediction), geoscience (geothermal systems analysis), and industrial applications (semiconductor metrology, structural health monitoring). A consistent theme across his research is the development of robust, domain-specific deep learning architectures that address unique challenges in data analysis across different scientific fields. Professor BARRA maintains active collaborations across multiple institutions and disciplines, as evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in diverse fields, demonstrating a commitment to solving real-world problems through innovative computational approaches. He leads research within the LIMOS laboratory, which focuses on computer science, modeling, and systems optimization.

• Solid state device physics
• MOS interface physics
• Wide bandgap materials and devices
• +4 more

Dallas Morisette is a Research Professor of Electrical and Computer Engineering at Purdue University, affiliated with the Birck Nanotechnology Center. His primary research focuses on solid-state device physics, MOS interface phenomena, wide bandgap materials, and power semiconductor devices, particularly silicon carbide (SiC) technologies. He holds a BS from Walla Walla College (1993), and both MS (1997) and PhD (2001) degrees from Purdue University. His work emphasizes advancing power device performance through innovations in materials, fabrication techniques, and device architecture. Notable contributions include the development of ultra-short-channel SiC MOSFETs, self-aligned trench structures, and the waffle substrate approach for reduced substrate resistance. His research bridges fundamental material science with applied engineering solutions for high-power electronics. Publications span over two decades, with recent emphasis on interface trap analysis, high-mobility SiC devices, and robust power electronics. These studies address challenges in device reliability, scalability, and energy efficiency. His work is supported by collaborations within Purdue’s College of Engineering and the Birck Center.

Niall ManganView profile

Assistant Professor

• Data-driven modeling
• Biological networks
• Renewable energy systems
• +3 more

Niall Mangan is an Assistant Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering . He leads research in data-driven modeling, biological networks, and renewable energy systems. His work bridges mechanistic modeling with data science to optimize engineering solutions. Education: Ph.D. in Systems Biology from Harvard University (2013), Dual B.S. in Physics and Mathematics from Clarkson University (2008). Research Interests: Data-driven methods for complex systems design Biological network dynamics and uncertainty quantification Spatial organization in cellular biochemistry Renewable energy systems modeling Key Contributions: Developed frameworks for inferring biological networks via sparse identification of nonlinear dynamics. Advanced methods for solar cell interface analysis and wastewater surveillance epidemiology modeling. Scientific Awards: Sloan Research Fellowship DOE Early Career Award NSF Graduate Fellowship (2008) Grants & Affiliations: Member of the NSF-Simons Center for Quantitative Biology, Trienens Institute for Sustainability, and Center for Synthetic Biology. Supported by DOE, Sloan Foundation, and Northwestern grants. Labs & Teams: Leads research groups focused on systems biology and sustainable energy, collaborating with interdisciplinary teams in synthetic biology and environmental engineering.

Mary Elizabeth KurzView profile

Associate Professor

• Scheduling
• Metaheuristics
• Industrial Engineering
• +5 more

Mary Elizabeth Kurz is an Associate Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her research focuses on scheduling optimization, metaheuristics, and assembly line balancing for complex manufacturing systems. Education: B.S., Systems Engineering, University of Arizona (1995) M.S., Systems Engineering, University of Arizona (1997) Ph.D., Systems and Industrial Engineering, University of Arizona (2001) Research interests include: Development of heuristics and metaheuristics for scheduling Assembly line balancing with ergonomic constraints Flexible flowline scheduling with sequence-dependent setups Application of genetic algorithms and particle swarm optimization Recent work trends show applications in opioid crisis modeling, photolithography scheduling, and automotive configuration management. She has presented at INFORMS and IISE conferences, with special emphasis on multi-objective optimization and real-world industrial constraints. Scientific awards: Third Place Best Paper, ASME Manufacturing Engineering Division (2014) As an INFORMS member and Institute of Industrial Engineers Senior member, she has taught courses in operations research, decision support systems, and metaheuristics. Her work spans both theoretical and applied domains, with a strong focus on manufacturing system efficiency.

Robert PruckaView profile

Professor

• Powertrain Design
• Artificial Intelligence
• Optimal Control
• +4 more

Dr. Robert Prucka holds the Alan Kulwicki Professorship in Motorsports Engineering at Clemson University's Department of Automotive Engineering. His research focuses on artificial intelligence and optimal control strategies for electrified powertrains in autonomous off-road vehicles, along with novel low-emission internal combustion engines. As director of the Deep Orange vehicle-prototyping program, Dr. Prucka leads student teams designing high-performance vehicles including autonomous race cars and hybrid electric rallycross vehicles. He earned his Ph.D. in Mechanical Engineering from the University of Michigan (2008). Research publications demonstrate strong focus on advanced engine control strategies, particularly spark-assisted compression ignition systems and opposed-piston architectures. Recent work integrates electrification solutions with combustion optimization. Honors include: SAE Ralph R. Teetor Educational Award (2017) Murray Stokely Award for Excellence in Teaching (2015) Professional activities include membership in SAE Combustion Committee, Specialty Equipment Market Association Emerging Trends committee, and associate editorship for the International Journal of Powertrains.

Ian ChurchView profile

Associate Professor

• Ocean Mapping
• Hydrodynamic Modeling
• Marine Habitat Mapping
• +2 more

Dr. Ian Church is an Associate Professor in the Department of Geodesy and Geomatics Engineering within the Faculty of Engineering at the University of New Brunswick. He specializes in ocean mapping using acoustics, with primary research interests in integrating hydrodynamic numerical modeling with ocean mapping, marine habitat mapping, acoustic water column interpretation, and evaluating autonomous mapping platforms. His research aims to better understand the marine environment using acoustics and minimize uncertainty in ocean mapping products. Dr. Church received all his degrees (B.Sc.Eng, M.Sc.Eng, Ph.D.) from UNB while working with the Ocean Mapping Group. His professional experience includes operating and managing multibeam sonar systems onboard the coast guard ship Amundsen in the Canadian Arctic (2005-2013), and positions at the University of Southern Mississippi before returning to UNB in 2016. His publications demonstrate consistent focus on hydrographic surveying, ocean mapping technologies, and marine data processing. Recent trends show increased emphasis on AI applications in seabed mapping, advanced sensor technologies, collaborative training programs, and hydrodynamic modeling for coastal management. Dr. Church also contributes to educational initiatives like the COMREN International School on Hydrographic Surveying.

Guillermo Payá VayáView profile

Professor

• Embedded Systems
• Processor Architecture
• FPGA Design
• +5 more

Prof. Dr.-Ing. Guillermo Payá Vayá leads the Chair for Chip Design for Embedded Computing at Technical University of Braunschweig's Faculty of Electrical Engineering, Information Technology, and Physics. His research focuses on processor architecture design, FPGA/ASIC implementations, and optimization techniques for embedded systems, particularly in high-performance, low-power, and radiation-hardened computing domains. Primary research interests include: Application-Specific Instruction Set Processors (ASIPs) and compiler co-design Radiation effects characterization and fault-tolerant hardware Ultra-low-power processor architectures for embedded AI Hardware acceleration of neural networks and computer vision algorithms Memory subsystem optimization and parallel computing techniques Recent publications demonstrate strong emphasis on radiation-hardened electronics (35% of recent works), AI accelerator design (27%), and ultra-low-power systems (20%), with growing interest in biomedical applications. Experimental validation through FPGA prototyping and semiconductor testing is a consistent methodology across research domains. Leads research team investigating: Radiation-tolerant FPGA architectures (Trumann, Weide-Zaage) Vector processor optimization (Gesper, Thieu) Nano-scale controller design (Weißbrich) AI-hardware co-design (Kautz, Beyer)

Yan ZhaoView profile

Associate Professor

• Anomaly Detection
• Autoencoder
• Attention (Machine Learning)
• +5 more

Yan Zhao is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with The Technical Faculty of IT and Design. His research focuses on data engineering, science, and systems, with a particular emphasis on anomaly detection, machine learning, and spatio-temporal data analysis. He holds a Ph.D. in Computer Science (specific education details not explicitly provided). Research Interests: Dr. Zhao's work spans anomaly detection, autoencoders, attention mechanisms, preference learning, multivariate time series, and computational efficiency. His research often integrates machine learning with real-world applications in spatial crowdsourcing, trajectory analysis, and data privacy. Publications: With 72+ publications, his recent work emphasizes spatio-temporal prediction frameworks, federated learning, and efficient time series analysis. Notable contributions include frameworks for continuous learning on streaming data and privacy-preserving clustering in spatial crowdsourcing. Grants & Supervision: He has supervised one Ph.D. student and actively contributes to research grants focusing on data engineering and smart systems. His work bridges theoretical advancements with practical applications in transportation, social networks, and IoT.

Euclides AlmeidaView profile

Assistant Professor

• Nanophotonics
• Metamaterials
• Nanofabrication
• +4 more

Euclides Almeida is an Assistant Professor in the Department of Physics at Queens College, City University of New York (CUNY). He leads the Almeida Lab, focusing on experimental nanophotonics and metamaterials. His research involves nanofabrication and characterization to manipulate nanoscale matter and develop next-generation photonic devices for applications in energy efficiency, bio-sensing, and miniaturization. Education: D. Sc. in Physics, Federal University of Pernambuco (2012) B. Sc. in Physics, Federal University of Pernambuco (2006) Research Interests: Almeida's work explores electromagnetic wave interactions at the nanoscale, with a focus on nonlinear optics, metasurfaces, and plasmonic systems. His lab develops compact photonic devices capable of innovative optical beam shaping and strong coupling phenomena. Recent projects include tunable graphene-gold plasmons and inverse-designed plexcitonic systems. Publications: Over 20 peer-reviewed articles since 2012, with recent emphasis on nonlinear optical components, broadband light sources, and room-temperature strong coupling. Key themes include metasurface design, nanofabrication, and applications of 2D materials. Advising & Recruitment: Actively recruiting post-doctoral researchers with expertise in photonics and nanofabrication. Teaches PHYS 675: Microfabrication & Growth Techniques. Labs & Teams: The Almeida Lab utilizes state-of-the-art facilities at QC-CUNY to advance nanoscale optical technologies. Current efforts target novel optoelectronic devices and energy-efficient photonic systems.

Muhsin CelikView profile

Professor

• Semiconductor Technology
• Microelectronics
• Solid-State Physics
• +3 more

Muhsin Celik is a Professor of Practice in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). Previously, he held leadership roles in semiconductor research and development at Motorola, Freescale Semiconductor, STMicroelectronics, and GlobalFoundries. He led the 14nm FINFET program at GlobalFoundries’ Fab 8 facility and contributed to advanced semiconductor technologies such as FDSOI and high-k/metal gate devices. Celik earned his Ph.D. in Electrical Engineering from North Carolina State University (NCSU) with a thesis on in-situ surface cleaning for silicon selective epitaxy. He also holds an M.S. from NCSU and a B.S. in Electrical and Electronics Engineering from Middle East Technical University (METU). Education: Ph.D., Electrical Engineering, NCSU (1998) M.S., Electrical Engineering, NCSU B.S., Electrical and Electronics Engineering, METU Research Interests: Semiconductor device fabrication and scaling SOI and FDSOI technologies FINFET architecture and high-performance computing High-k/metal gate stacks Strained silicon engineering Power-efficient transistor design Awards: IEEE Senior Member Professional Contributions: Project Leader at SUNY Nanotech (STMicroelectronics) Senior Director at GlobalFoundries Fab 8 Member of CNSE’s Industrial Advisory Board Labs & Collaborations: Motorola Advanced Products Research & Development Labs IBM International Semiconductor Development Alliance GlobalFoundries Fab 8

Zheyu ZhangView profile

Assistant Professor

• Wide bandgap semiconductors
• Cryogenic power electronics
• Power electronics reliability
• +4 more

Dr. Zheyu Zhang is an Assistant Professor at Rensselaer Polytechnic Institute (RPI) in the Department of Electrical, Computer, and Systems Engineering. Previously, he held roles including Research Assistant Professor at the University of Tennessee (2015–2018), Lead Power Electronics Engineer at GE Research (2018–2019), and Warren H. Owen – Duke Energy Assistant Professor at Clemson University (2019–2023). His affiliations include the Center for Future Energy Systems (CFES) and the Center for Materials, Devices, and Integrated Systems (CMDIS) at RPI. Education: Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville (2015); M.Sc. and B.Sc. in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China (2011 and 2008). Research focuses on wide bandgap semiconductors, cryogenic power electronics, and power electronics reliability. Key areas include applications in electrified transportation, space power systems, energy storage, and renewable energy integration. His work emphasizes high-efficiency converters, solid-state circuit breakers, and cryogenically cooled systems for aviation and aerospace. Prominent contributions include over 100+ journal/conference papers, 10+ patent applications, and authored books/chapters. His research has earned awards such as the 2022 NASA Early Career Faculty Award and the 2021 IEEE IAS Young Member Achievement Award. Professional activities include editorial roles (e.g., IEEE Transactions on Power Electronics ), standard development (IEEE IAS committees), and leadership in conferences like ECCE and APEC. He also contributes to educational initiatives, including tutorials on WBG device characterization and cryogenic systems. Current teaching includes ECSE 4080 - Semiconductor Power Electronics . His labs focus on advanced power electronics, reliability testing, and cryogenic system design.

D'ANIELLO FEDERICOView profile

Researcher

• Electronics
• Integrated Circuits Design
• Quantum Computing
• +3 more

D'ANIELLO FEDERICO is a Fixed-term Researcher at the University of Milan-Bicocca, affiliated with the Department of Physics 'Giuseppe Occhialini'. His work focuses on advanced electronics and integrated circuits design, particularly for quantum computing and automotive networks. Email: federico.daniello@unimib.it His research spans FinFET technology , low-noise amplifier (LNA) design , and single-event upset characterization in nanoscale transistors. Recent studies include applications in cryo-CMOS systems and high-speed automotive transceivers . Key trends in his publications involve semiconductor device modeling , quantum hardware optimization , and robust communication protocols for automotive environments.

• Defects in Nanomaterials
• Physics Education
• Single Photon Emitters
• +3 more

Zack Ward serves as a Lecturer in the Department of Physics, Applied Physics & Astronomy at Rensselaer Polytechnic Institute (RPI), teaching Physics I (PHYS 1110/1100) and Physics II (PHYS 1200) across Summer 2025, Spring 2025, and Fall 2024 semesters. His office is located in J-ROWL 3C06, with contact email wardz3@rpi.edu and phone 845-453-1829. Ward's research spans two primary domains: defects in nanomaterials and physics education innovation. In nanomaterials, he investigates single photon emitters and develops predictive models for defect energy/stability in 2D materials. His recent educational focus targets introductory physics courses, emphasizing curriculum redesign through enhanced lab manuals, Discord-based communication systems, and refined lecture materials to improve student comprehension and engagement. His publication record (2021-2024) reveals strong interdisciplinary work at the intersection of materials science and computational methods, with emphasis on defect engineering in hexagonal boron nitride for batteries, optical properties of transition metal dichalcogenides, and machine learning applications for perovskite bandgap tuning. Ward's recognition includes: Walter Eppenstein Award (2020) - Best graduate teaching assistant in Physics at RPI As an instructional-focused lecturer, Ward concentrates on classroom innovation rather than traditional research advising. His current initiatives include developing comprehensive Physics I lab manuals with visual enhancements, implementing Discord channels for real-time student-instructor interaction, and designing assessment questions that capture nuanced conceptual understanding across engineering and physical science disciplines. He actively shapes the Physics I/II instructional labs at RPI, with recent work centering on restructured lab manuals featuring detailed imagery, highlighted critical variables, and activity sequences designed to optimize experimental learning outcomes for diverse student cohorts.

Mike BorowczakView profile

Associate Professor

• Hardware Security
• Side-Channel Attacks
• AI Security
• +4 more

Mike Borowczak is an Associate Professor at the University of Central Florida (UCF) affiliated with the UCF Draco Lab. His research focuses on hardware security, side-channel attacks, AI-driven cybersecurity, VLSI design, and fostering cybersecurity education initiatives. Education: Ph.D. in Computer Science and Engineering from the University of Cincinnati (2013) Research Interests: He explores design automation for hardware security, side-channel attack resistance, and the intersection of AI with VLSI design. His work addresses secure IoT systems, sustainable semiconductor workforce development, and K-12 cybersecurity integration. Recent Projects: DoE/INL/LDRD grants on red teaming AI systems and secure IoT systems, along with NSF-funded initiatives including GenCyber, CS for All:RFP, RET site programs, and the Western Regional Noyce Network. Scientific Awards: INL Center for Advanced Energy Studies (Inaugural) Fellow ASTE Award IV for Innovation in Teaching Science Teachers Outstanding Engineering Educator Award Finalist, ASEE Rocky Mountain Section Professional Activities: NSF panel reviewer, Editor-in-Chief of ASEE Computers in Education Journal, Associate Editor at Springer Nature, IEEE/ACM Senior Member, and leadership roles in academic conferences.