جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +۷ مورد دیگر

Xinchao Wang is an Assistant Professor and Presidential Young Professor in the Department of Electrical and Computer Engineering at the National University of Singapore (NUS), College of Design and Engineering. He leads the xML Lab, focusing on machine learning and artificial intelligence. Prior to joining NUS, he was an Assistant Professor at Stevens Institute of Technology in the Department of Computer Science and a Postdoctoral Researcher at the Beckman Institute, University of Illinois Urbana-Champaign, under the late Professor Thomas Huang. He earned his Ph.D. in Computer Vision from École polytechnique fédérale de Lausanne (EPFL) under Professor Pascal Fua and a B.Sc. in Computing from the Hong Kong Polytechnic University with first-class honors and a perfect GPA. His research spans machine learning, computer vision, and artificial intelligence, with a focus on diffusion models, vision-language models, 3D generation, and dataset distillation. His recent publications demonstrate strong trends in efficient generative modeling, including acceleration techniques for diffusion models, 3D scene reconstruction, and novel architectures for vision and language tasks. His work frequently appears in top-tier conferences such as CVPR, NeurIPS, ICCV, ECCV, and ICLR. AI's 10 to Watch, IEEE (2025) Young Research Award, NUS (2025) Young Research Award, NUS CDE (2024) Best Paper Award, IEEE VCIP 2022 Outstanding Early Career Award, NUS CDE (2023) College Teaching Excellence Award, NUS CDE (2023) He actively advises Ph.D. students, many of whom have received prestigious awards including the Google Fellowship and ByteDance Scholarship. He has served as an Associate Editor for IEEE Transactions on Image Processing since 2023. His lab is actively recruiting Ph.D. students, postdocs, visiting scholars, and research assistants in machine learning and AI. He teaches core courses at NUS including Introduction to Machine Learning, Deep Learning, and Pattern Recognition.

• Switched Reluctance Motors
• Permanent Magnet Machines
• Control Systems
• +۸ مورد دیگر

Dr. Xu Deng is a researcher at Newcastle University, specializing in electrical machines, control systems, and power electronics. His work focuses on advanced motor designs, including switched reluctance motors , permanent magnet machines , and integrated motor drives , with applications in high-altitude platforms , renewable energy , and automotive systems . Research Interests: Control strategies for vibration reduction, thermal management in electrical machines, and innovative converter topologies. Publications (2025–2024): Recent works address torque ripple minimization , axial positioning in linear-rotary motors, and heat transfer efficiency in permanent magnet machines. Collaborations: Works with Professor Barrie Mecrow and other colleagues on motor drives, magnetic levitation, and high-speed machine design.

Jiarong Hongمشاهده پروفایل

استاد

• Fluid Mechanics
• Turbulence
• Atmospheric Flows
• +۱۱ مورد دیگر

Jiarong Hong is a Professor in the Department of Mechanical Engineering within the College of Science and Engineering at the University of Minnesota. He serves as Principal Investigator at the Flow Field Imaging Laboratory and leads research with the cavitation and bubbly flow group at the Saint Anthony Falls Laboratory. His work spans multiple interdisciplinary institutes including the Minnesota Robotics Institute and the Institute on the Environment. Dr. Hong's research focuses on fundamental fluid mechanics related to turbulence, atmospheric and multiphase flows, wind turbine aerodynamics, cavitation and bubbly flows, and microfluidic systems. His work integrates optical imaging and instrumentation with applications in flow diagnostics, biophysics, geophysics, medical and material sciences. His innovative approach to field flow imaging using natural snowfall has significantly advanced the study of utility-scale wind turbine flows. His recent publications demonstrate a strong trend toward practical applications of fluid mechanics in renewable energy, environmental protection, and public health. During the pandemic, his research expanded to address airborne transmission of diseases, showing his ability to pivot research toward pressing societal needs. His work consistently bridges fundamental fluid mechanics with real-world engineering applications. Robert T. Knapp Award for scale-dependent energy fluxes research Featured Article in Theoretical and Applied Mechanics Letters Editor's suggestions in Physical Review Fluids Cover Article in Acta Mechanica Sinica Cover of Journal of Fluid Mechanics Selected as highlight of Nature Communication As Principal Investigator of the Flow Field Imaging Laboratory, Dr. Hong leads a research group that develops advanced imaging techniques for fluid flow measurement. His work on super-large-scale particle image velocimetry using natural snowfall represents a significant methodological innovation in the field. His research has been supported by various funding mechanisms that enable both fundamental investigations and practical applications in wind energy and environmental fluid mechanics. Dr. Hong maintains strong collaborative relationships with researchers across multiple disciplines, as evidenced by his diverse publication record spanning mechanical engineering, environmental science, medical applications, and robotics. His laboratory serves as an interdisciplinary hub connecting fluid mechanics with practical engineering challenges.

Marvin Zedlerمشاهده پروفایل

مدرس

• Biomechanics
• Sports Science
• Human Physiology
• +۳ مورد دیگر

Marvin Zedler is a Lecturer at the University Hospital Cologne and affiliated with the Institute of Biomechanics and Orthopaedics at the German Sport University Cologne . His research focuses on biomechanics, sports performance, and occupational health in high-demand professions such as police operations. Education: M.Sc. in Biomechanics, B.Sc. in Sport and Performance, B.Sc. in International Management Active in third-party funded projects including bobsleigh diagnostics, police spine loading, and Hoffenheim collaborations Marvin's research spans biomechanics of running economy , musculoskeletal stress in athletes , and ergonomic challenges for police personnel . He has contributed to studies on cervical spine loading in helicopter pilots and the effects of body armor on physical performance. Recent publications highlight trends in recreational runner recovery , police officer efficiency , and winter sports biomechanics . His work often integrates anthropometric and kinetic data to improve athletic and occupational outcomes. Marvin supervises Master's and Bachelor's theses in biomechanics and sports science. He has participated in conferences such as the Internationaler Kongress Nachwuchsleistungssport NRW and contributed to media discussions on athlete performance.

• Electrical Engineering
• Renewable Energy Systems
• Control Systems
• +۳ مورد دیگر

M. Elmorshedy is an academic researcher specializing in Electrical Engineering and Renewable Energy Systems , with a focus on Control Systems , Power Electronics , and Hybrid Energy Optimization . His work often involves collaborations with co-authors like D. Almakhles, Kotb M. Kotb, and S. M. Allam. Elmorshedy's research spans applications in Photovoltaic Systems , Wind Energy , and Model Predictive Control for inverters and electrical drives. He has contributed to advancements in Seventeen-Level Switched Capacitor Inverters and Hybrid Renewable Energy Systems for residential and microgrid contexts. Recent publications highlight trends in Power System Optimization , Grid Integration , and Emission Reduction through innovative control strategies. Key collaborations include studies on Linear Induction Motors and PMSG Control under unbalanced conditions.

Balajee Vamananمشاهده پروفایل

دانشیار

• Computer Networks
• Datacenter Networks
• Low-Latency Networks
• +۷ مورد دیگر

Balajee Vamanan is an Associate Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC), where he has held a faculty position since October 2015. His office is located in CDRLC 4458 and SEO 1310, with contact details including email bvamanan@uic.edu and phone (312) 996-9442. He teaches core systems and networking courses such as CS 361 (Systems Programming), CS 450 (Introduction to Networking), and CS 594 (Advanced Computer Networking), emphasizing hands-on programming and critical problem-solving in modern networked environments. Education: Bachelor's degree from Birla Institute of Science & Technology (BITS), Pilani, India. Ph.D. from Purdue University (August 2015). Research Interests: His work centers on computer networks , with primary focus on datacenters , low-latency networks , software-defined networking (SDN) , router architecture , and cellular networks . Secondary interests include computer systems research, memory system architecture, and in-memory caches. He bridges theoretical networking concepts with real-world implementation, leveraging industry experience from NVIDIA and Google to address performance bottlenecks in network hardware and protocols. Publication Trends: Recent work (2020-2025) demonstrates concentrated innovation in datacenter transport protocols (e.g., MTP for in-network computing), programmable switch optimizations (TCAM utilization, memory management), and congestion control for RDMA environments. His research increasingly intersects distributed machine learning training with networking challenges, while maintaining strong contributions to cellular background traffic management and topology design for incast workloads. Scientific Awards: No scientific awards, fellowships, or medals are documented in the provided materials. Advising and Grants: He advises multiple Ph.D. students (Seyri, Vardekar, Saxena) and undergraduate researchers. Past students have secured roles at Google, Cisco, Microsoft, and VMware. His lab receives sustained funding from the National Science Foundation (NSF) through grants including BIGDATA: RDMA-Based Datacenter Networks for Big Data Applications, FMitF: Injecting Formal Methods into Internet Standardization, and CNS Core: Network-wide Policy Enforcement in Programmable Networks. Labs and Collaborations: Leads a research group within UIC's BITS Lab, a cross-disciplinary hub for networking, systems, and security. Maintains active industry partnerships with AT&T Research, Microsoft, and NVIDIA, alongside academic collaborations with UT Austin, University of Utah, Purdue University, and Indian Institute of Science's Parimal Parag group.

• Electrical Machines
• Power Electronics
• Electric Drives
• +۳ مورد دیگر

Eric Giacomo Armando is a Full Professor at the Department of Energy (DENERG) within the College of Electrical and Energy Engineering at Politecnico di Torino. He serves as a member of the Power Electronics Innovation Center (PEIC) and leads the PEEMD research group. Research Interests: Electrical Machines Power Electronics Electric Drives Energy Conversion Sustainable Motor Drive Systems Wide Bandgap Semiconductors Recent Publications focus on GaN converter technologies, flux control algorithms, thermal management via 3D-printed heatsinks, and fault tolerance in multi-phase motors. His work appears in IEEE ECCE, APEC, and industry applications journals. Supervised Students: Stefano Savio (PhD, ongoing, researching GaN multilevel inverters for motorsport) Enrico Vico (completed PhD, focusing on overcurrent protection for GaN semiconductors) Projects: Includes EU-funded E-motors, PNRR SEMDY, and commercial contracts with HBM Italia Srl and Servotecnica SpA. He holds multiple national/international patents in traction inverters and battery chargers.

• Combinatorial Optimization
• VLSI Design
• Chip Design
• +۱۲ مورد دیگر

Stephan Held is a Professor at the Research Institute for Discrete Mathematics, University of Bonn, where he conducts research and teaches in combinatorial optimization, VLSI design, and discrete algorithms. He holds a Ph.D. from the University of Bonn and has been actively publishing in top venues such as DAC, DATE, IPCO, and IEEE Transactions. His research spans theoretical and applied aspects of optimization in chip design and logistics. He leads significant academic initiatives, including serving as General Chair for ISPD 2026 and as an Associate Editor for Discrete Optimization . Research Interests: VLSI Design: Clock scheduling, gate sizing, threshold voltage optimization, timing-driven placement and routing, repeater trees. Graph Coloring: Development of exactcolors , a high-performance open-source solver for maximum-weight stable set and graph coloring. Vehicle Routing: Work on time-dependent travel times, real-world benchmark creation using OpenStreetMap and Uber data, and winning the Amazon Last Mile Routing Challenge in 2021 with William Cook and Keld Helsgaun. His recent publications focus on approximation algorithms for Steiner tree variants, cost-distance optimization in routing, and combinatorial methods in chip design. These works frequently appear in journals like Mathematical Programming , Discrete Optimization , and IEEE Transactions on CAD , as well as conferences including DAC, ISPD, and IPCO. The research combines theoretical rigor with practical applications in electronic design automation and transportation logistics. Scientific Awards: Best Paper Award, DAC 2018 Best Paper Award, DATE 2009 Prof. Held advises students and has contributed to the academic community through teaching and organizing conferences. He has taught courses on chip design, combinatorial optimization, integer programming, and algorithmic mathematics. He has organized major events such as the International Symposium on Physical Design (ISPD), the Hausdorff Summer School, and the IPCO conference. His lab and research group at the University of Bonn are deeply integrated into the Bonn International Graduate School in Mathematics (BIGS), fostering collaboration in computational combinatorial optimization.

• Machine Diagnostics
• Vibration Monitoring
• Bearings
• +۵ مورد دیگر

Alessandro Paolo Daga is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. His research focuses on machine diagnostics, vibration monitoring, bearings, digital signal processing, and machine learning applications in industrial systems. Keywords: Bearings, Digital Signal Processing, Machine Diagnostics, Machine Learning, Rotordynamics Awards: Best Poster Award at COMSOL Conference Munich 2023 3rd Place Best Paper at IEEE MetroInd4.0&IoT 2020 1st Place at Surveillance 9 (2017) 2nd Place at Surveillance 8 (2015) Teaching: He teaches courses in Gearbox Failure Analysis and Monitoring, and collaborates in Vibration Mechanics and Vehicle Noise & Vibration at both bachelor’s and master’s levels. He also supervises PhD research in Mechanical Engineering. Recent Research Trends: His work spans aerospace pyroshock testing, wind turbine condition monitoring, and vibration diagnostics for rotating machinery. He applies statistical learning and signal processing to energy systems and industrial equipment maintenance.

Mohammad Reza Herfatmaneshمشاهده پروفایل

دانشیار

• Low Carbon Energy Systems
• Flywheel Energy Storage
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Mohammad Reza Herfatmanesh is an Associate Professor in the School of Physics, Engineering and Computer Science at the University of Hertfordshire , serving as the Research Lead for the Advanced Powertrain and Energy Harvesting and Storage laboratories. He holds a BEng (Hons) and PhD from Brunel University London , and has been affiliated with the University of Hertfordshire since 2013, with prior post-doctoral experience at Brunel. Education: BEng (Hons) in Mechanical Engineering, Brunel University London PhD in Internal Combustion Engines, Brunel University London His research focuses on low carbon energy systems , particularly flywheel energy storage for automotive and grid applications, diesel combustion optimization , and CFD modeling for energy efficiency and environmental dispersion. Recent publications emphasize computational analysis, windage loss reduction, and sustainable transportation technologies. Article trends highlight interdisciplinary work bridging Mechanical Engineering , Environmental Science , and Energy Systems , with a strong focus on CFD simulations , machine learning , and experimental validation . Scientific Awards: EU Patent US Patent His project leadership includes grants totaling over £1 million, with a flagship Innovate UK and APC project valued at £10 million. He has managed collaborations with industry partners and supervised KTP projects. Laboratory affiliations include the Advanced Powertrain and Energy Harvesting and Storage groups, where he drives innovation in energy systems and sustainable engineering.

Kok Chiang Liangمشاهده پروفایل

مدرس

• ASIC Design
• Power Management Unit
• Robotics
• +۲ مورد دیگر

Dr. Kok Chiang Liang is a Lecturer and Program Coordinator for Electrical and Electronic Engineering at the School of Engineering , part of the College of Engineering, Science and Environment at Newcastle Australia Institute of Higher Education (NAIHE). He previously worked at DSO National Laboratories and SUSS, receiving multiple awards including the Design Innovation Award and Teaching Excellence Gold Awards . He holds a PhD and BEng (Honours) from Nanyang Technological University (NTU). Education PhD, Electrical & Electronic Engineering, NTU (2014) BEng (Honours), Electrical & Electronic Engineering, NTU As a researcher, Dr. Kok focuses on ASIC design for power management , robotics , artificial intelligence , and energy harvesting applications . His work bridges IoT and sustainable engineering, with over 50 publications in Q1/Q2 journals and conferences. Notably, he has pioneered innovations in medical device design, urban sustainability, and educational technology. His recent articles highlight trends in sustainable electronics and AI integration across domains. He has received significant recognition, including two Best Paper Awards and substantial research seed funding (over S$260,000). Dr. Kok also contributes to community service as a District Councillor and Grassroots Volunteer in Singapore, and serves on the STEM Industrial Advisory Board and IEEE committees . Scientific Awards Design Innovation Award (Individual), DSO National Laboratories (2018) Teaching Excellence Gold Award, SUSS (2020, 2025) Best Paper Award, 3rd ICESA (2021) Best Paper Award, 6th ICPEE (2024) Dr. Kok’s leadership extends to research grants as Principal Investigator and Co-PI, and to policy advisory roles for Singapore’s Ministry of Education. His interdisciplinary approach combines technical innovation with societal impact, reflected in his roles at People’s Action Party Meet-the-People Sessions and Ang Mo Kio Town Council .

Lars Penterمشاهده پروفایل

پژوهشگر

• Machine Tools
• Adaptive Control Systems
• Industrial Internet of Things
• +۶ مورد دیگر

Lars Penter is a Senior Engineer Research and Education at the Chair of Machine Tool Development and Adaptive Controls , Dresden University of Technology, and a Research Associate at the Fraunhofer Institute for Machine Tools and Control Technology (Department of IIoT Controls and Technical Cybernetics). His career spans roles since 2018 in machine tool development, adaptive control systems, and industrial IoT applications. Current affiliations: Dresden University of Technology, Fraunhofer Institute Research focus: Digital twin technology, friction modeling, damping analysis, sheet metal forming, process-machine interaction Scientific contributions include 15 recent articles (2025–2022) covering AI-driven deep drawing process prediction, digital twin applications in forming, multifractal surface analysis, and composite material damping. Publications appear in journals like At-Automatisierungstechnik and Robotics and Computer-Integrated Manufacturing . He contributes to industrial simulation and thermo-elastic analysis , addressing challenges in forming press behavior, elastic tool deformations, and chatter detection. His work bridges mechanical engineering with industrial IoT and AI-driven optimization .

• Quantum Physics
• Atomic Physics
• Quantum Sensing
• +۷ مورد دیگر

Dr. Patrick Everitt is a researcher specializing in quantum physics and atomic physics, with a focus on quantum sensing, Bose-Einstein condensates, and atom interferometry. His work bridges theoretical and applied physics, particularly in robust control systems for cold-atom sensors and inertial navigation technologies.

Fabio Frustaciمشاهده پروفایل

دانشیار

• Electronic Engineering
• FPGA Design
• Low-Power Electronics
• +۴ مورد دیگر

Fabio Frustaci is an Associate Professor in the ING-INF/01 scientific-disciplinary sector at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES), University of Calabria. Previously, he served as a Research Fellow (RTd A/RTd B), Assistant Professor, and Adjunct Professor at the same department. From 2011–2014, he was a Visiting Research Fellow at the University of Michigan, Ann Arbor. B.S. in Electronic Engineering (2003), University "Mediterranea" of Reggio Calabria Ph.D. in Electronic Engineering (2007), University "Mediterranea" of Reggio Calabria His research focuses on low-power electronic design , FPGA-based hardware acceleration , and approximate computing , with applications in image processing, wearable systems, and neural networks. He actively explores quantum-dot cellular automata , dynamic voltage scaling , and noise-tolerant logic circuits . Recent publications highlight his work in deep learning hardware , energy-efficient multipliers , and real-time imaging systems . He leads research groups in nanoelectronics and microsystems and collaborates on projects involving SRAM optimization , carry skip adders , and radiation-hardened FPGAs . National Scientific Qualification for Full Professor (2023) Frustaci is affiliated with the Nanoelectronics and Microsystems Lab at DIMES, contributing to advancements in power-aware design , embedded systems , and semiconductor device modeling .

• Vehicle Dynamics
• Noise and Vibration Analysis
• Rail Transport Engineering
• +۳ مورد دیگر

Jarosław Korzeb is an Associate Professor at Warsaw University of Technology's Faculty of Transport, where he leads the Division for Construction and Operation of Means of Transport . He heads the Research Team for Investigation of Dynamic Interactions in The Human-Vehicle-Road-Environment System , focusing on transport dynamics and environmental impacts. Research Interests: His work spans vehicle dynamics, noise/vibration analysis in rail systems (trams, metro), biomechanics in transport environments, and emissions modeling. Key themes include rail infrastructure reliability, sustainable transport solutions, and human-vehicle interaction in specialized operations. Publication Trends: Recent articles emphasize environmental impact assessments (vehicle emissions, Arctic operations), rail system innovations (freight wagons, metro dynamics), and vibration/noise monitoring methodologies. Cross-disciplinary approaches integrate engineering, environmental science, and occupational safety. Academic Leadership: Has supervised 33 theses and secured 6 research projects . Leads institutional collaborations on transport infrastructure and environmental standards.