جستجوی استاد راهنمای دانشگاهی

Yuping Heمشاهده پروفایل

استاد

• Autonomous Driving
• Vehicle System Dynamics
• Vehicle Chassis Design
• +۷ مورد دیگر

Dr. Yuping He is a Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology (UOIT). He holds a PhD in Mechanical Engineering from the University of Waterloo (2002) and has extensive academic and industry experience, including postdoctoral fellowships at the University of Windsor and University of Waterloo. His research focuses on autonomous driving, vehicle dynamics, chassis design, and active safety systems, with expertise in modeling and simulation techniques. Education: PhD (Mechanical Engineering), University of Waterloo, 2002 MASc (Automotive Engineering), Tsinghua University, China, 1991 BASc (Automotive Engineering), Hubei Automotive Industries Institute, China, 1985 Research interests include automated design synthesis, multidisciplinary optimization, and driver-hardware-in-the-loop simulations. He has contributed to advancements in heavy vehicle stability control, trailer steering systems, and energy-saving strategies for steer-by-wire vehicles. His work bridges mechanical systems, control engineering, and real-time simulation technologies. Awards include the 2010 Research Excellence Award from UOIT’s Faculty of Engineering and Applied Science, and a nomination for the Governor-General’s Gold Medal (2003). His publications span journals like Vehicle System Dynamics and ASME Journal of Computational and Nonlinear Dynamics , with a focus on improving vehicle safety and performance through advanced control strategies. Advising and Grants: Dr. He has advised student teams in capstone projects, including the 2010 FEAS Capstone Design Competition-winning team. His research integrates industrial collaboration, as seen in roles like Senior Product Engineer at American Axle & Manufacturing (2005). His work emphasizes practical applications in automotive and mechatronic systems.

Anthony Lising Antonioمشاهده پروفایل

دانشیار

• Higher Education
• Race and Ethnicity
• Sociology
• +۵ مورد دیگر

Anthony Lising Antonio is an Associate Professor at the Stanford Graduate School of Education and Associate Director of the Stanford Institute for Higher Education Research . He serves as the founding faculty director of LifeWorks , an undergraduate integrative learning program. His work focuses on postsecondary access, racial diversity in education, student development, and social stratification. PhD, University of California, Los Angeles (1998) MA, University of California, Los Angeles (1994) MS, Stanford University (1992) BS, University of California, Berkeley (1988) Dr. Antonio's research spans stratification in higher education, racial and ethnic minority student development, and the impact of diversity on institutions. Recent work explores college admissions essays, synthetic text analysis, engineering equity, and social network applications in educational research. His 2024-25 courses include Diversity and Equity Issues in Higher Education and Holistic College Student Development. His publications address critical themes like racialization in STEM, gender dynamics in undergraduate applications, intersectionality in student status, and college access program partnerships. Articles frequently employ social network analysis, critical race theory, and interdisciplinary methodologies to examine educational equity and institutional change. Principal investigator for educational RCTs Co-author on large language model demography studies Contributor to affirmative action policy debates Dr. Antonio advises doctoral students in education and sociology, with affiliations to the Center for Comparative Study in Race and Ethnicity and the Asian American Studies program. He resides in EAST House, a Stanford residential fellowship focused on equity and societal issues.

Khalid M. Mosalamمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Health Monitoring
• Bridge Engineering
• +۹ مورد دیگر

Khalid M. Mosalam is the Taisei Professor of Civil Engineering and Director of the Pacific Earthquake Engineering Research (PEER) Center at the University of California, Berkeley, where he has served in the Department of Civil and Environmental Engineering since 1997. He also chairs the Al Falah Program in Science and Engineering, facilitating academic exchange between UC Berkeley and Middle Eastern/OIC institutions. His educational background includes: Ph.D. in Civil Engineering from Cornell University (1996) M.S. in Structural Engineering from Cairo University (1991) B.S. (Honors) in Civil Engineering from Cairo University (1988) Mosalam's research centers on structural health monitoring using vibration-based and vision-based techniques, with expertise in experimental methods including hybrid simulations. His work spans earthquake engineering, bridge engineering, and the assessment/rehabilitation of critical infrastructure like bridges and electrical substations. He investigates structural behavior of concrete, masonry, steel, and wood systems under extreme events (earthquakes, blasts, wind), integrating machine learning tools for predictive modeling and developing solutions for energy efficiency and sustainable infrastructure resilience. Current projects include Building Efficiency and Sustainability in the Tropics (BEST) and AI applications in vision-based structural health monitoring. His scientific achievements include: ASCE Huber civil engineering research prize (2006) UC-Berkeley chancellor award for public services (2013) EERI outstanding paper award (2015) Mosalam has secured continuous research funding for 26+ years from NSF, Caltrans, FEMA, Intel, US-DOE, NRF-Singapore, and private industries, leading major initiatives like the $5.075M BRACE2 bridge research program (2025). He advises graduate students and directs multiple research entities including the STAIRlab, PEER Center, StEER Network, and SinBerBEST program. His leadership encompasses the PEER Center's large-scale structural testing facilities, the StEER Network for post-disaster response, and international collaborations through SinBerBEST, focusing on experimental validation, computational modeling, and practical implementation of resilient infrastructure systems.

Steffen Hardtمشاهده پروفایل

استاد

• Microfluidics
• Nanofluidics
• Fluid Mechanics
• +۲ مورد دیگر

Prof. Steffen Hardt serves as Professor and Head of the Institute for Nano- and Microfluidics at the Technical University of Darmstadt, where he leads research in fluid dynamics at micro and nanoscales. His work bridges engineering, physics, and applied sciences within the university's technical framework. His research focuses on: Microfluidics: Precision manipulation of fluids in micrometer-scale channels Nanofluidics: Behavior and control of liquids at the nanometer level Fluid Mechanics: Fundamental principles of flow dynamics Nanotechnology: Development of nanoscale fluidic systems Engineering: Design of lab-on-a-chip devices and biomedical applications These areas drive innovations in point-of-care diagnostics, chemical synthesis, and energy-efficient fluid handling. No scientific awards are documented in the available information. As institute head, Prof. Hardt oversees a multidisciplinary team advancing experimental and theoretical frameworks in micro/nanofluidics, with infrastructure supporting high-precision fabrication and testing of fluidic systems.

• Power Systems
• Smart Grids
• Energy Infrastructure
• +۱ مورد دیگر

Antonello Monti is a Professor and Director of the Institute for Automation of Complex Power Systems at RWTH Aachen University. His research focuses on modern power systems, including smart grid technologies, hybrid AC-DC grids, and quantum computing applications in energy systems. Recent publications demonstrate innovations in grid resilience, EV charging optimization, quantum-assisted power system planning, and advanced simulation techniques. His team develops open-source tools like JuliaGrid for power system analysis and validates concepts through real-time testing platforms. Research addresses energy transition challenges including renewable integration, grid modernization, cyber-physical security, and next-generation optimization methods combining quantum computing with traditional power engineering approaches.

Xiongfei Wangمشاهده پروفایل

استاد مهمان

• Power Electronics
• Power System Stability
• Data-Driven Control
• +۳ مورد دیگر

Xiongfei Wang is a Visiting Professor at KTH Royal Institute of Technology in Stockholm, Sweden, and a Digital Futures Fellow. He holds academic leadership roles, including Editor-in-Chief of IEEE Transactions on Power Electronics and chairs in IEEE committees. His research focuses on power electronics systems, stability analysis, and data-driven approaches for energy systems. Previously, he served as a Professor at Aalborg University (2009–2022). His work addresses challenges in power system stability, converter dynamics, and renewable integration. He leads projects like 'Machine Learning for Dynamics Analysis of Power Electronic Systems,' aiming to enhance grid resilience through AI-driven methods. Notable awards include IEEE Fellow (2023), Isao Takahashi Award (2022), and multiple best paper awards. Wang collaborates extensively, organizing conferences and editing journals. His research spans power electronics, grid stability, and smart grid technologies, with a focus on practical applications in energy transition.

Raphaël Phanمشاهده پروفایل

استاد

• Security
• Cryptography
• Malicious AI
• +۵ مورد دیگر

Prof Raphaël Phan is a Professor and Deputy Head of the School of IT at Monash University Malaysia. His expertise spans security, cryptography, malicious AI, emotion recognition, motion analysis, and generative AI. He has published over 220 papers and led significant projects including privacy-preserving data mining funded by UK MoD and Malaysian government grants exceeding RM4 million. He co-designed the BLAKE hash function (SHA-3 finalist) and has an h-index of 50. Education: PhD in Cryptography (Multimedia University, 2005), MEngSci (2001), BEng (Hons) Computer Engineering (1999). Research focuses on adversarial AI, brain networks, and secure systems. Current projects include Æmbience: emotion-aware virtual assistants using motion magnification. Supervised 15 PhD graduates and 19 current students. Professional affiliations: Chartered Engineer (IET, UK), HEA Fellow, Board of Engineers Malaysia. Recent work emphasizes causal bias detection in micro-expressions, brain tumor detection via advanced YOLOv8, and generative adversarial networks for medical imaging. His work bridges cybersecurity with neuroscience applications.

• Formal Verification
• Software Testing
• Programming Languages
• +۱۲ مورد دیگر

Alastair F. Donaldson is a Professor and Director of Research in the Department of Computing at Imperial College London, where he leads the FastPL research group. His work bridges formal methods, software testing, and programming languages, with a focus on enhancing the reliability of high-performance and parallel software systems. He has held key roles including Director of Research (since 2023) and previously served as Lecturer (2011–2014), Senior Lecturer (2014–2017), and Reader (2017–2020) before being promoted to Professor in 2020. His research interests include formal verification, compiler testing, GPU programming, concurrency, and fuzzing. He has made significant contributions to the verification of GPU kernels, metamorphic testing of graphics drivers, and the development of tools like GPUVerify and GraphicsFuzz. His work combines theoretical rigor with practical impact, demonstrated by the acquisition of his startup GraphicsFuzz by Google in 2018 and his subsequent roles as Senior Software Engineer and Visiting Researcher at Google. His recent publications reflect a sustained focus on compiler and system reliability, with trends in fuzzing, formal specification, and automated testing of complex systems such as WebGPU, CXL cache coherence, and large language models for code generation. His work increasingly integrates empirical validation with formal techniques to uncover subtle bugs in real-world systems. Scientific awards and recognitions include: 2017 BCS Roger Needham Award EPSRC Early Career Fellowship Fellow of the British Computer Society Best Paper awards at EuroSys 2024, MET 2021, IISWC 2019, IWOCL 2019, and ICST 2016 Best Industry Paper at ICST 2024 ACM SIGSOFT Distinguished Paper at ISSTA 2023 ACM SIGPLAN Most Influential OOPSLA Paper Award (2012 paper), awarded in 2022 Best Student Paper at PPoPP 2014 He has advised numerous PhD students and leads a vibrant research group. He has secured significant research funding and collaborates extensively with industry and academia. His service includes leadership roles such as General Chair of PLDI 2020, PC Chair of ECOOP 2019, and Steering Committee Chair of PLDI (2022–2025). He also serves on the advisory board of PACM-PL and on program committees for top venues including POPL, OOPSLA, PLDI, ICSE, and ISSTA. He leads the FastPL research group, which focuses on the design and implementation of programming tools and techniques for reliable software. The group conducts cutting-edge research in compiler testing, formal methods, and high-performance systems, fostering collaboration across academia and industry.

Hans-Georg Herzogمشاهده پروفایل

استاد

• Electrical Machines
• Electromechanical Drives
• Energy Conversion Technology
• +۷ مورد دیگر

Prof. Dr.-Ing. Hans-Georg Herzog is a Professor of Energy Conversion Technology at the Technical University of Munich (TUM), School of Engineering and Design. He has headed the Energy Conversion Technology group at TUM since 2002 and is a Senior Member of IEEE and member of VDE and VDI professional organizations. His research focuses on energy-efficient electromechanical drives and related technologies critical for modern electric and hybrid vehicles. Prof. Herzog's research interests encompass energy-efficient electromechanical drives, with key expertise in design and optimization of hybrid-electric and battery-electric powertrains, automated design methods for electromechanical actuators, energy and power management systems, and analysis of loss mechanisms in soft magnetic materials. His work bridges fundamental electromagnetic theory with practical automotive applications, particularly in fault-tolerant systems and reliability engineering for electric propulsion. His recent publication trends show a strong focus on vehicular power systems, with particular emphasis on electronic fuses, fault diagnosis in multiphase machines, wireless power transfer, and reliability analysis of electric aircraft propulsion systems. The research spans from fundamental electromagnetic modeling to practical automotive applications, with increasing attention to autonomous driving power requirements and next-generation vehicle electrical architectures. Prize for Good Teaching of the Free State of Bavaria (2010) Prof. Herzog leads a substantial research team including doctoral candidates and postdoctoral researchers who contribute to his extensive publication record. His research group collaborates with automotive industry partners on various grants focused on electric vehicle technology, power system reliability, and advanced electromagnetic systems. The team regularly develops novel methodologies for machine design, fault tolerance analysis, and power system optimization. The research is conducted within TUM's Energy Technology Workshop with specialized facilities for electrical machine testing, power electronics development, and automotive power system simulation. The team maintains strong connections with industry partners in the automotive and aerospace sectors, facilitating technology transfer from academic research to practical applications.

Zhendong Suمشاهده پروفایل

استاد

• Programming Languages
• Compilers
• Software Engineering
• +۳ مورد دیگر

Zhendong Su is a full professor in the Department of Computer Science at ETH Zurich since August 2018. Previously, he held a full professorship at UC Davis from 2003 until June 2019. He earned his Ph.D. in Computer Science from UC Berkeley and dual Bachelor’s degrees in Computer Science and Mathematics from UT Austin in 1995. Affiliations: ETH Zurich: Full Professor (since 2018) UC Davis: Full Professor and Chancellor’s Fellow (2003–2019) IEEE Fellow, ACM Fellow, and Member of Academia Europaea His research focuses on programming languages, compilers, software engineering, computer security, and education technologies . Key contributions include compiler validation (e.g., Project Yin-Yang for SMT solvers and DBMS testing), testing tools like SQLancer, and educational innovations such as the Algot visual programming language. Recent work emphasizes secure AI (e.g., CipherSteal for TEE-shielded models) and compiler reliability (e.g., Artemis/Apollo for JIT validation). He has pioneered techniques like metamorphic testing and equivalence modulo inputs (EMI) for compiler validation, uncovering thousands of bugs in GCC/LLVM and SMT solvers. Awards: ICSE MIP Award (2022), ACM SIGSOFT Impact Paper (2018), NSF CAREER Award, and multiple industrial awards. His students have won IEEE TCSE Rising Star and SIGSOFT Impact Paper awards, securing roles at top universities and companies like Google and NVIDIA. Service: Steering committee member of ISSTA and ESEC/FSE, ACM Distinguished Speaker, and Associate Editor for ACM TOSEM. Program chaired ISSTA 2012 and co-chaired FSE 2016. Labs/Teams: Leads research groups on compiler validation, secure AI, and education technologies. Projects include Yin-Yang (SMT testing), SQLancer (DBMS fuzzing), and Algot (visual programming for education).

• Microelectronics
• Analog/Digital Circuit Design
• Ultra Low Power Circuits
• +۱ مورد دیگر

Snorre Aunet is a Professor at the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU), with additional roles as an Adjunct Professor at the Department of Informatics, University of Oslo. His academic career spans institutions in Norway, Germany, and the USA, including sabbaticals at Bielefeld University and University of California, San Diego. Education: Electronics Engineering (Trondheim Technical College, 1987), Informatics (UiO, 1993), and Physical Electronics (NTNU, 2002) Research Focus Dr. Aunet specializes in ultra-low-power mixed-signal integrated circuits and nanoscale CMOS technologies . His work includes innovative MEMS transducer designs for energy harvesting, digital IC development, and robust circuit solutions for emerging semiconductor challenges. Recent Publications His recent contributions include advancements in MEMS technology for sustainable energy systems, editorial leadership at NorCAS conferences, and policy discussions on the European Chips Act. These reflect expertise in both cutting-edge design and strategic technology development. Scientific Recognition 2019: Elected to Norwegian Academy of Technical Sciences (NTVA) 2015: Best Paper Award at Asia Symposium on Quality Electronic Design 2006: IEEE Senior Member (Electron Devices Society) 2003: Best Poster Award at Int'l Conf. on Evolvable Systems Leadership & Grants He has chaired multiple IEEE conferences and contributed to projects like Robust Ultra-Low-Power Circuits for Nano-Scale CMOS (NTNU/University of Paderborn). His career combines academic leadership with industry collaboration through Nordic Semiconductor and international research councils.

Ralph Bockمشاهده پروفایل

استاد

• Plant Molecular Biology
• Chloroplast Biology
• Organelle Biotechnology
• +۷ مورد دیگر

Prof. Dr. Ralph Bock serves as Director of Department 3: Organelle Biology, Biotechnology and Molecular Ecophysiology at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany, where he also leads the Organelle Biology and Biotechnology research group. Previously, he held positions as C4 Professor for Plant Biochemistry and Biotechnology at the University of Münster (2001-2004) and Group Leader at the Institute of Biology III, University of Freiburg (1996-2001). His academic credentials include: Habilitation: University of Freiburg, 1999 Doctorate: University of Freiburg, 1996 Diploma: University of Halle, 1993 Prof. Bock's research focuses on plant molecular biology with particular emphasis on chloroplast biology, organelle biotechnology, and molecular ecophysiology. His work spans genetic engineering of plastids, photosynthesis research, plant biotechnology applications, and understanding organelle-nucleus communication. He has made significant contributions to developing chloroplast transformation systems and applying them to molecular farming, metabolic engineering, and understanding fundamental processes in plant cell biology. His research has important implications for sustainable agriculture, bioenergy, and pharmaceutical production, particularly through the development of plant-based systems for producing vaccines and therapeutic proteins. Analysis of Prof. Bock's recent publications (2023-2025) reveals a strong focus on chloroplast biology, genetic engineering, and molecular farming applications. His work spans fundamental research on organelle genetics, photosynthesis, and stress responses, as well as applied research on using plant and algal systems for biopharmaceutical production. A notable trend is the increasing use of advanced genetic engineering techniques, including CRISPR-based approaches, to manipulate organelle genomes. His research also shows growing interest in algal systems as alternative expression platforms for molecular farming, particularly red algae like Porphyridium for producing viral antigens and glycoproteins.

Satadru Deyمشاهده پروفایل

استادیار

• Battery Systems
• Transportation Systems
• Cyber-Physical Security
• +۳ مورد دیگر

Satadru Dey serves as an Assistant Professor in the Department of Mechanical Engineering at Penn State University, where he leads research at the intersection of energy infrastructure and smart city systems. His work spans battery technology, transportation networks, and cyber-physical security, with institutional affiliations including the Integrated Energy Systems and Equitable Communities research initiatives. His primary research focuses include battery safety and security (covering fault diagnosis, thermal management, and fast charging protocols), second-life applications for batteries/supercapacitors, secure autonomous transportation systems, and socio-technical traffic modeling. He employs advanced control theory, machine learning, and physics-based modeling to address critical challenges in energy storage and urban mobility infrastructure. Analysis of his 15 most recent publications (2022-2024) reveals a consistent trajectory toward cyber-physical security in battery and transportation systems, with 60% of works addressing battery fault detection and 40% focused on transportation security. His methodologies increasingly integrate partial differential equations, reinforcement learning, and socio-technical data fusion across electrical engineering, mechanical engineering, and computer science domains. Scientific Awards: No awards or fellowships were documented in the source material. Advising and grant activities are not explicitly detailed in the provided information, though his editorial leadership for the 2024 Special Issue on Energy in Smart Infrastructures indicates academic service responsibilities. The absence of student listings suggests either early-career status or non-publication of advising relationships. Dr. Dey directs a specialized research laboratory focused on integrated energy systems within smart city frameworks, with documented projects spanning battery management, transportation security, and equitable infrastructure development. His lab maintains active collaborations across mechanical engineering, electrical systems, and urban planning disciplines as evidenced by multi-departmental publication venues.

Paul Henshallمشاهده پروفایل

مدرس ارشد

• Renewable Energy Systems
• Energy Storage Systems
• Mathematical Modelling
• +۷ مورد دیگر

Dr Paul Henshall is a Senior Lecturer in Mechanical Engineering at Oxford Brookes University, affiliated with the School of Engineering, Computing and Mathematics. His work bridges advanced thermal systems, renewable energy, and mathematical modelling, with a strong focus on sustainable technologies. His research interests include: Mathematical modelling of renewable energy systems Second-life battery energy storage Thermal management of battery packs Lithium-ion cell characterization Advanced solar thermal systems Thermochemical energy storage The analysis of his recent publications (2018–2025) reveals a consistent focus on energy storage and solar thermal technologies. His work emphasizes computational modelling, experimental validation, and sustainability assessment, particularly in second-life batteries and high-efficiency solar collectors. Key themes include battery degradation prediction, thermal stress analysis, and the integration of renewable systems in buildings and industry. Professional recognitions include: Chartered Physicist (CPhys) Member of the Institute of Physics (MInstP) Fellow of the Higher Education Academy (FHEA) Member of the Institute of Physics Energy Group Committee Paul supervises MEng and PhD students, including Dr. Farhad Salek, whose thesis focused on second-life battery systems. He teaches core modules in engineering mathematics, numerical methods, and computational modelling. He is involved with the Centre for Batteries, Electric Vehicles and Electronics and the Architectural Engineering Research Group, contributing to interdisciplinary research in sustainable energy systems.

Jeffrey Krolikمشاهده پروفایل

استاد

• Signal Processing
• Sensor Array Processing
• Radar Systems
• +۴ مورد دیگر

Jeffrey Krolik is a Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He holds a Ph.D. in Electrical Engineering from the University of Toronto (1987) and previously served as an Assistant Professor at Concordia University and Assistant Research Scientist at Scripps Institution of Oceanography. Ph.D. University of Toronto (1987) M.A. University of Toronto (1983) B.A. University of Toronto (1980) His research focuses on physics-based and statistical signal processing with applications in radar, sonar, microwave remote sensing, and medical imaging. Key projects include adaptive beamforming for ocean acoustic waveguides, aircraft height finding via HF radar, and motion-robust fMRI algorithms. Recent publications cover multipath mitigation in sonar arrays, vibrational radar backscatter communication, and CNN implementations for radar signal processing. His work spans underwater acoustics, urban radar tracking, and distributed sensor networks. He teaches advanced courses in sensor array signal processing, digital audio systems, and radar applications. His research has been supported through collaborations with institutions like Scripps and consulting roles with ONR, DARPA, and Air Force Rome Laboratories. Key contributions include waveguide invariant processing, matched-field beamforming, and novel approaches to radar clutter suppression in urban and maritime environments. His work integrates statistical signal processing with physical propagation models across diverse domains.