جست‌وجوی استاد و پژوهشگر

Vladica Miјailovićمشاهده پروفایل

استاد

• Power Systems Reliability
• Electrical Distribution Systems
• High-Voltage Engineering
• +۴ مورد دیگر

Dr. Vladica Miјailović is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. His academic career spans over three decades with significant contributions to power systems engineering and electrical distribution networks. B.Sc. in Electrical Engineering (1991) M.Sc. (1995) Ph.D. (1999) Professor Miјailović specializes in power systems reliability and modern maintenance techniques. His research focuses on high-voltage engineering, electrical distribution systems, and renewable energy integration. He has made significant contributions to understanding components of high-voltage switchgears, reliability of electrical distribution systems, and monitoring and diagnostics of power equipment. His work bridges theoretical research with practical applications in the energy sector, particularly in power plants and renewable energy resources. His recent publications demonstrate a strong focus on modern power system challenges, particularly the integration of distributed energy resources into existing grids. There's a clear trend toward analyzing the impact of renewable energy sources on grid stability, developing methods for calculating short-circuit currents in networks with distributed generation, and optimizing distribution networks for improved reliability and efficiency. His work increasingly addresses the transition toward sustainable energy systems and the technical challenges associated with this transition. Professor Miјailović has led and participated in numerous research projects focused on power system reliability, maintenance optimization, and distribution network analysis. These projects have been conducted in collaboration with industry partners including ETI "Nikola Tesla" and Elektrosrbija, demonstrating the practical application of his research. His work has significantly influenced maintenance practices and reliability assessment methodologies in the Serbian power sector.

Jules Vliemمشاهده پروفایل

پژوهشگر

• MRI Hardware Development
• RF Coil Design
• Biomedical Engineering
• +۳ مورد دیگر

Jules Vliem is a Doctoral Candidate at the Eindhoven University of Technology , affiliated with the Integrated Circuits group in the College of Engineering . His work focuses on RF coil design for MRI hardware development , spanning ultra-high to ultra-low field applications. Education : BSc (2021) and MSc (2023) in Electrical Engineering from TU/e Research Focus : MRI hardware, RF coil optimization, and electromagnetic engineering for medical imaging Key Collaborations : MRI Hardware Development Lab, international research teams

Georgios Konstantinouمشاهده پروفایل

دانشیار

• Power Electronics
• HVDC Transmission Systems
• Multilevel Converters
• +۷ مورد دیگر

Georgios Konstantinou is an Associate Professor in Energy Systems at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW) Sydney. He leads the Real-Time Simulations Laboratory (RTS@UNSW), which hosts the largest Real-time Digital Simulation Laboratory in Australia. Dr. Konstantinou is also an ARC Future Fellow (FT240100038, 2025-2029) for the project "Integration and Stability of Power Electronics Defined Low Inertia Grids," and previously held an ARC Early Career Research Fellowship (DE170100370) focused on High-voltage DC grids. Dr. Konstantinou's educational background includes: PhD in Electrical Engineering from the University of New South Wales (UNSW), Sydney, Australia (2012) Thesis: "Harmonic Elimination Pulse Width Modulation of Modular and Hybrid Multilevel Converter Topologies" Diploma of Electrical Engineering (5-year degree, equivalent to Masters) from Aristotle University of Thessaloniki, Greece (2007) Graduate Diploma in University Learning and Teaching from UNSW (2015) His research focuses on power electronics and energy systems, with particular expertise in HVDC transmission systems, multilevel converters, real-time digital simulations, and hardware-in-the-loop testing. Dr. Konstantinou's work addresses critical challenges in grid integration of renewable energy and energy storage systems, with an emphasis on stability and control of power electronics-defined grids. His research bridges theoretical advancements with practical applications through close collaboration with industry partners including CSIRO and AGL. Analysis of Dr. Konstantinou's recent publications reveals a strong focus on grid-forming converters, digital twin technologies, and advanced control strategies for power systems with high renewable penetration. His work increasingly integrates artificial intelligence and machine learning techniques with traditional power system engineering to address stability challenges in low-inertia grids. Key themes include real-time simulation methodologies, fault analysis in HVDC systems, and innovative control approaches for power electronics interfaces. Dr. Konstantinou's scientific recognition includes: ARC Future Fellow (FT240100038, 2025-2029) ARC Early Career Research Fellow (DE170100370) Australia-China Young Scientist Exchange Program participant (2015) Next Steps Initiative Grant awardee (2016) Associate Editor for IEEE Transactions on Power Electronics Dr. Konstantinou actively supervises research students in areas including multilevel power electronics converters, HVDC systems, modular multilevel converters, and grid integration of large-scale renewable energy systems. His current research is supported by multiple grants totaling over $1.5 million, including an ARC Future Fellowship ($1,066,000), CSIRO Global Power System Transformation Initiative grants ($365,000 each), and various international collaboration grants. These projects focus on real-time simulation, grid integration of renewables, and stability of power electronics-defined grids. As the leader of the Real-Time Simulations Laboratory (RTS@UNSW), Dr. Konstantinou oversees Australia's largest Real-time Digital Simulation Laboratory with extensive capabilities in HVDC networks, multiterminal DC grids, power system protection relay testing, renewable energy systems, and smart grids. The laboratory serves as a critical resource for both academic research and industry collaboration, providing hardware-in-the-loop testing capabilities for next-generation power system technologies.

Anouar Belahcenمشاهده پروفایل

استاد

• Magnetic Materials Modeling
• Energy Conversion Devices
• Electromagnetic Field Computation
• +۶ مورد دیگر

Anouar Belahcen is a Full Professor in the Department of Electrical Engineering and Automation at Aalto University. His research focuses on magnetic materials modeling, numerical analysis of energy conversion devices, and electromechanical systems. Key interests include iron loss characterization in electrical machines, magnetomechanical coupling phenomena, and vibration/noise analysis. Belahcen leads the Computational Electromechanics research group and has pioneered advancements in anisotropic hysteresis modeling, multi-scale material characterization, and fault diagnostic methodologies using machine learning. His work bridges computational electromagnetics with practical applications in electric traction systems and renewable energy infrastructure. Expertise: Magnetic Materials, Finite Element Analysis, Energy Conversion, Condition Monitoring Key Projects: Development of thermodynamically consistent hysteresis models Optimization of high-specific-power electric machines for aerospace/automotive use Machine learning-based fault detection systems Publications emphasize cutting-edge topics like vector hysteresis modeling under multiaxial stress, bearing fault diagnostics via multi-rate vibration analysis, and novel transformerless PV-inverter designs. His research consistently addresses both fundamental theory and industrial-scale implementation challenges.

Kester Cleggمشاهده پروفایل

پژوهشگر ارشد

• Air Traffic Simulation
• Safety-Critical Systems
• Avionics Safety
• +۴ مورد دیگر

Dr. Kester Clegg is a Research Fellow in the Department of Computer Science at the University of York, affiliated with the High Integrity Systems group. He holds a PhD in non-standard computation and has extensive experience in safety-critical systems, including work on air traffic simulation, UAV safety, and carbon nanotube-based computation. His research focuses on automated hazard identification, avionics safety, and evolutionary algorithms applied to engineering challenges. Education PhD in Non-Standard Computation (University of York, 2007) Postgraduate Degrees in Linguistics and Computer Science Research Interests Automated risk discovery in complex systems Safety analysis for aviation and autonomous systems Material-based computing using carbon nanotubes Integration of safety models with system design Key Projects NASCENT project: Evolutionary computation for nanotube configurations (2015) SESAR project: Air traffic risk modeling using RAMS Plus software (2013) Rolls-Royce UTC: Safety-critical jet engine controller software (2002-2005) His work bridges theoretical computer science with practical safety engineering, emphasizing automated tools for identifying worst-case scenarios in high-risk environments. Current activities include teaching safety courses under the HISE initiative.

• Human-Computer Interaction
• Design Tools
• Machine Learning in Education
• +۴ مورد دیگر

Roles & Affiliations: Tiffany Tseng is an Assistant Professor at Barnard College, Columbia University and Director of the Design Tools Lab. She previously worked as a research scientist at Apple, a Project Assistant Professor at the University of Tokyo, and held roles at Autodesk and Glitch. She earned her PhD from MIT Media Lab's Lifelong Kindergarten Group. Education: PhD, Media Arts and Sciences, MIT Media Lab (Lifelong Kindergarten Group), 2020 Mechanical Engineering background, IDEO and Fisher-Price design experience Research Interests: Her work focuses on design tools for creative expression , combining computational technologies with interdisciplinary collaboration. Key areas include machine learning for animation, electronics prototyping, and community-driven design. She emphasizes making tools accessible to beginners through systems building and design-based research. Key Contributions: Developed Co-ML for collaborative ML model building Created PlushPal for interactive storytelling with plush toys Pioneered Circuit Assemblies for 3D-printed electronics Advocates for process-oriented documentation in maker communities Awards & Recognition: Best Paper Award at IDC 2021 Honorable Mention at IDC 2023 Labs & Teams: Leads the Design Tools Lab (DTL), which develops software tools and learning experiences for next-gen designers. Current projects span machine learning, visual arts, and interdisciplinary creative computing.

Sophia Shaoمشاهده پروفایل

دانشیار

• Computer Architecture
• Integrated Circuits
• Domain-Specific Accelerators
• +۵ مورد دیگر

Sophia Shao is an Associate Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She was promoted to Associate Professor with tenure in July 2024 after serving as an Assistant Professor from August 2019 to June 2024. Previously, she worked as a Senior Research Scientist at NVIDIA from October 2018 to July 2019. Her academic journey began with a Bachelor of Electrical Engineering from Zhejiang University, China (2005-2009), followed by a Master of Science (2009-2014) and Ph.D. (2009-2016) in Computer Science from Harvard University. Shao's research focuses on computer architecture, with special emphasis on domain-specific accelerators, heterogeneous architecture, and agile VLSI design methodology. Her work bridges the gap between hardware and software through systematic approaches to accelerator design and evaluation. She leads research efforts in the Agile Design of Efficient Processing Technologies (ADEPT), Berkeley Emerging Technologies Research (BETR), Berkeley Wireless Research Center (BWRC), and SpeciaLIzed Computing Ecosystems (SLICE) centers. Her recent publications reveal a strong trend toward holistic hardware-software co-design for machine learning acceleration, with particular focus on efficient neural network accelerators, multi-tenant execution environments, and automated design methodologies. Her research spans from low-level circuit design to system-level architecture, demonstrating expertise across the entire computing stack. Notably, her work on Gemmini, Stellar, and Virgo represents significant contributions to the field of domain-specific accelerator design and integration. Sloan Research Fellowship (2024) Anita Borg Early Career Award (2024) NSF CAREER Award (2023) Google Research Scholar Award (2023) IEEE TCCA Young Computer Architect Award (2022) Intel Rising Star Faculty Award (2022) ISCA Distinguished Artifact Award (2023, 2024) Best Paper Award at DAC 2021 Professor Shao actively mentors a large group of graduate and undergraduate students, with several former students now at leading technology companies including NVIDIA, Microsoft, and Apple. Her research has been supported by multiple grants from NSF, Google, Intel, and other organizations. She leads several open-source research projects including Gemmini, Stellar, Chipyard, and RoSÉ, which have gained significant traction in both academic and industrial research communities. Her lab, part of the SLICE ecosystem, focuses on creating next-generation computing platforms through vertically integrated hardware-software approaches.

Sherri Ulbrichمشاهده پروفایل

استاد آموزشی

• Critical Care Nursing
• Nursing Education
• Educational Assessment
• +۴ مورد دیگر

Sherri Ulbrich, PhD, RN, CCRN-K, CNE, is an Associate Teaching Professor at the Sinclair School of Nursing, University of Missouri. With over 25 years of nursing education experience, she teaches undergraduate courses including NURSE 4870H (Nursing of Adults II) and has previously taught Honors 1010H. She actively contributes to university committees, including the Honors College Committee and Honors College Curriculum Committee. Her research focuses on critical care nursing, innovative teaching strategies, and educational assessment. Key interests include: Simulation-based learning and clinical skills training Interprofessional education and collaborative practice Online testing methodologies and academic evaluation Physical activity integration in healthcare education Her publications emphasize nursing education innovation and medical-surgical nursing, particularly cardiac care and physiological balance, with recent works exploring simulation circuits and testing frameworks. Notable scientific awards include: Lee Henson Access MIZZOU Award (2020) Multiple Outstanding Teaching Awards from MU Nursing Student Council (2015-2021) Dr. Rosemary T. Porter Faculty Scholar (2012) Betty Crim Faculty Enhancement Award (2011) She has led or co-led significant grants such as the Expansion of Practitioner Education (Co-I, SAMHSA, 2020-2022) and Increased and Enhanced Clinical Simulation (Co-PI, Missouri State Board of Nursing, 2019-2020). She mentors extensively, co-authoring presentations with 18+ students on topics like healthy work environments and evidence-based fall prevention.

• Computational Geometry
• Program Testing
• Software Reliability Estimation

Simeon Ntafos is a Professor in the Department of Computer Science at the University of Texas at Dallas, serving as Associate Dean for Undergraduate Education and Director of the Office of Student Services. His research focuses on computational geometry, program testing, and software reliability estimation. Ph.D., Northwestern University (1979) M.S. in Electrical Engineering, Northwestern University (1977) B.S. in Electrical Engineering, Wilkes College (1974) His computational geometry work includes terrain guarding, watchman routes, and polygon partitioning, while his software engineering research compares testing strategies like random and partition testing. Publications span from 1988 to 2005, showing sustained contributions to geometric algorithms and software reliability. As an academic leader, he has organized conferences including the 21st Symposium on Computational Geometry and contributed to journals such as IEEE Transactions on Software Engineering and Algorithmica. His methodological innovations include greedy algorithms for VLSI routing and visibility-based optimization techniques.

BeiBei Jiangمشاهده پروفایل

استادیار

• Solid-State Batteries
• Energy Storage
• Nanomaterials
• +۵ مورد دیگر

BeiBei Jiang is an Assistant Professor in the Department of Electrical and Computer Engineering at the Southern Polytechnic College of Engineering and Engineering Technology, Kennesaw State University (KSU). She holds a Ph.D. in Materials Science and Engineering from Georgia Institute of Technology and has previously worked as a Senior Research Engineer at Lam Research (2017–2022). Education: Ph.D. (Georgia Tech), M.S. (Peking University), B.S. (Xidian University) Current Research: Solid-State Batteries, Integrated Energy Systems, Battery Testing Methodology Her research interests focus on solid-state lithium metal batteries with an emphasis on enhancing ionic conductivity and interfacial engineering, as well as integrated energy conversion/storage systems combining solar cells with solid-state batteries. She also develops rapid Li-ion battery testing methods for electric vehicle applications. The article trends reveal a strong focus on materials innovation for energy storage and conversion, with subfields including nanomaterials engineering, battery safety, and semiconductor device integration. Her work spans both fundamental material synthesis and applied energy systems . Scientific Recognition: COPE Fellowship (Ph.D.) 5x VIP/cover awards from Angewandte Chemie and Nature Communications She mentors Ph.D. students (Zhiming, Junjun) and has supervised 12 undergraduate researchers. Her teaching portfolio includes Semiconductor Device Physics, Integrated Circuit Fabrication, and Thermodynamics. She also co-hosts Intel-funded semiconductor bootcamps with Georgia Tech.

Emma Watsonمشاهده پروفایل

مدرس ارشد

• Chemical Biology
• Medicinal Chemistry
• Protein Chemistry
• +۷ مورد دیگر

Dr. Emma Watson is a Senior Lecturer in Medicinal Chemistry at Monash University, joining the Monash Institute of Pharmaceutical Sciences (MIPS) in 2025. She previously began her independent career at the University of Adelaide in 2022. She is also an ARC DECRA Fellow and an EMBO postdoctoral alumna, with a strong research profile in chemical biology and therapeutic development. Her research focuses on creating responsive therapeutic systems using biomolecules and Boolean logic for enhanced precision and safety. Key areas include: Developing new methodologies for protein synthesis and late-stage modification Studying post-translational modifications in therapeutic proteins Using peptide nucleic acids (PNA) in molecular circuits for targeted drug delivery Her recent publications highlight advancements in PNA chemistry, biosupramolecular networks, and chemical protein synthesis. These works span journals such as Accounts of Chemical Research , Angewandte Chemie , and Current Opinion in Chemical Biology , reflecting interdisciplinary innovation in chemical biology and drug delivery. She has received prestigious fellowships including: EMBO Postdoctoral Fellowship ARC DECRA Fellowship Dr. Watson is actively supervising research and accepting PhD students. Her work contributes to UN Sustainable Development Goals in health and well-being through advanced therapeutic design. She maintains strong international collaborations, particularly with institutions in Europe, and her research network includes leading groups in Switzerland and Australia.

Luis Soares Barbosaمشاهده پروفایل

استاد

• Program Semantics
• Modal Logic
• Coalgebra
• +۵ مورد دیگر

Luis Soares Barbosa is a full professor at the Computer Science Department of Universidade do Minho and a senior researcher at HASLab INESC TEC. He is also affiliated with the International Iberian Nanotechnology Laboratory (INL) as part of the Quantum and Linear Optical Computation Group. He holds a second academic role as Deputy Head of the UNU-EGOV unit at the United Nations University. Barbosa chairs IFIP Technical Committee TC1 on Foundations of Computer Science and serves on IFIP WG1.3 and WG1.11/2.17. His research focuses on program semantics, coalgebra, modal logic, and quantum computation, aiming to establish rigorous mathematical foundations for software engineering. He teaches courses on quantum logic, concurrency, and quantum computation at the master’s level. Research Interests: Barbosa’s work bridges theoretical computer science with practical applications, emphasizing formal methods, coalgebraic systems, and quantum algorithms. His quantum research explores computational advantages and privacy-preserving protocols, while his classical work addresses software verification and concurrency. Recent efforts include paraconsistent transition systems for modeling inconsistent states and quantum policy gradients in machine learning. Lab/Tech Teams: Leads the Logic and Formal Methods group and collaborates with the High Assurance Software lab (HASLab). Active in interdisciplinary teams at INL and UNU-EGOV. Grants/Advising: Supervises students/postdocs in quantum computing, formal methods, and cyber-physical systems. Coordinates projects funded by national/international bodies, including EU initiatives on quantum algorithms and digital governance.

• Digital Signal Processing
• Nonlinear Dynamics
• Electronics Engineering
• +۳ مورد دیگر

Alessio Perinelli is a Researcher (RTD-A) in the Department of Physics at the University of Trento, located at Via Sommarive, 14. He specializes in experimental physics and electronics, focusing on topics like nonlinear dynamics, signal processing, and electronic instrumentation. His research integrates mathematical modeling with practical applications in fields such as brain connectivity analysis, space particle detection, and chaos theory. In teaching, he contributes to courses like Physics Laboratory III and Laboratory of Advanced Electronics , emphasizing hands-on learning in electronics and experimental physics. These courses cover topics ranging from basic electronic circuits to advanced FPGA-based signal processing and digital systems. His recent research highlights include studies on gamma-ray bursts using space-borne detectors (HEPD series), noise-induced chaos in physical models, and the application of permutation entropy in EEG analysis. He is also actively involved in developing hybrid microdosimeters for radiation field characterization and exploring fractal patterns in geophysical systems. Perinelli is a member of the Italian Society of Statistical Physics (SIFS) and has co-authored numerous peer-reviewed publications since 2018, focusing on experimental electronics, data analysis techniques, and interdisciplinary applications of physics principles.

Michael Rybaمشاهده پروفایل

استاد

• Business Informatics
• Software Engineering
• Internet Technologies
• +۳ مورد دیگر

Prof. Dr. habil. Michael Ryba is a Professor at Osnabrück University of Applied Sciences, Campus Lingen, within the Faculty of Management, Culture and Technology. He serves as Dean of Studies and Head of the Institute of Management and Technology, focusing on business informatics, software engineering, and internet technologies. Specializes in collaborative systems for SME networks Expertise in CAE software development Extensive publication record in distributed systems and design methodologies His research emphasizes cross-domain integration , dynamic networked environments , and object-oriented engineering frameworks . Recent works explore semantic-based brokering, self-consulting IT systems, and competitive production networks. He has contributed to Eiffel programming language applications and EDIF standards. As an educator, he teaches mathematics for business informatics, software engineering, and distributed systems. His career spans roles at universities in Kaiserslautern and Stuttgart, with habilitation in computer science (2002) and promotion (1995).

Matthew Guthausمشاهده پروفایل

استاد

• Electronic Design Automation (EDA)
• VLSI Design
• Machine Learning for EDA
• +۵ مورد دیگر

Matthew Guthaus is a Professor at UC Santa Cruz, where he serves as lead Principal Investigator of the VLSI Design and Automation Lab and is a member of the Hardware Systems Collective. He founded the VLSI Design Automation (VLSI-DA) laboratory in 2006, focusing on physical design, circuits, and algorithms research for electronic design automation (EDA). His research spans low-power circuits, thermal-aware design, reliability, and machine learning applications in EDA. Guthaus's research interests center on advancing EDA through modern AI techniques, with active projects including GATMesh (GNN-based clock mesh analysis), GAT-Steiner (GNN-driven Steiner tree prediction), OpenGCRAM (open-source gain cell compiler), and effective capacitance modeling with GNNs. His work emphasizes open-source tool development and hardware innovation. Recent publications (2021-2025) demonstrate strong focus on machine learning integration within EDA workflows, open-source silicon initiatives, and memory design optimization. Key trends include graph neural networks for physical design challenges, democratization of EDA tools, and co-optimization techniques for AI hardware. Scientific awards include: NSF CAREER Award (2011) for resonant clocking research Guthaus leads the VLSI Design and Automation Lab, which develops open-source EDA tools like OpenRAM and collaborates within the Hardware Systems Collective. He contributes to NSF initiatives on integrated circuit education and workforce development, authoring workshop reports in 2021-2022. He will present recent work on OpenROAD optimizations at ORConf 2025.