جست‌وجوی استاد و پژوهشگر

Gyan Wratمشاهده پروفایل

پژوهشگر ارشد

• Hydraulic Systems
• Wind Turbine Pitch Systems
• Fault Detection and Diagnosis
• +۳ مورد دیگر

Gyan Wrat is a Postdoctoral Researcher at the Faculty of Engineering and Science, Aalborg University, Denmark, specializing in Mechatronic Systems Fluid Power at AAU Energy. His work focuses on hydraulic systems for wind turbine pitch control and fault diagnosis, addressing critical reliability challenges in renewable energy infrastructure. His research spans Hydraulic Systems Engineering , Wind Turbine Pitch Control , Fault Detection and Diagnosis , Fluid-Structure Interactions , and Vibroacoustics . He develops advanced methodologies for identifying failure root causes in major hydraulic components, optimizing digital control systems, and enhancing wind turbine operational longevity through predictive maintenance strategies. Recent publications (2024-2025) reveal a concentrated research trajectory in hydraulic pitch system reliability, with comprehensive reviews covering fault detection algorithms, accelerated testing protocols, and fluid dynamics in submerged environments. His work bridges theoretical fluid mechanics with practical wind energy applications, emphasizing cost reduction through fault minimization. Wrat actively participates in the HyRel project (2022-2027), a Vattenfall-funded initiative led by Prof. Henrick C. Pedersen targeting 100% reduction in pitch system faults. This collaborative effort involves multidisciplinary teams exploring hydraulic system failure mechanisms, energy cost optimization, and digital pitch control innovations for next-generation wind turbines. He operates within AAU Energy's fluid power research ecosystem at Pontoppidanstræde 111, Aalborg, collaborating with international experts on hydraulic system validation, wind turbine dynamics, and reliability engineering through experimental testing and computational modeling.

• Nanopositioning
• Autonomous Robotics
• Piezoelectric Actuators
• +۵ مورد دیگر

Dr. Steven Grainger is Director of Learning & Teaching in the School of Mechanical Engineering and Program Coordinator for Mechatronic Engineering at the University of Adelaide. With industry experience prior to academia, he joined the university in 2007 following a 10-year lecturing position at Glasgow Caledonian University. His international academic engagements include visiting lectureships in Oman, Russia, Germany, and Australia. His research focuses on: Nanopositioning systems and piezoelectric actuator modeling Autonomous robotics with emphasis on underwater vehicles Bio-inspired systems and constructive neural networks Multi-robot coordination strategies Publication analysis reveals strong emphasis on mechatronic systems (45%), bio-inspired algorithms (30%), and mechanical fault diagnosis (25%). Recent works demonstrate increasing focus on biologically-inspired robotics and multi-agent systems. Research collaborations span nine institutions across Australia, UK, and Sweden including the Australian Maritime College and Lund University. As Program Coordinator, he oversees mechatronics curriculum development and supervises postgraduate research. Laboratory activities integrate computational modeling with hardware implementation for autonomous platforms.

• Electrical Engineering
• Power Systems
• Power Quality
• +۵ مورد دیگر

Pertti Pakonen is a University Lecturer at Tampere University's Faculty of Information Technology and Communication Sciences, Department of Electrical Engineering. His research focuses on power quality, partial discharge analysis, high voltage systems, and smart grid technologies. He has contributed extensively to understanding grid stability, electromagnetic compatibility, and renewable energy integration. Key research areas include partial discharge diagnostics in cables and transformers, power quality monitoring in distributed networks, and the impact of emerging technologies like electric vehicle charging stations and LED lighting on grid performance. His work emphasizes data-driven methods for fault detection, predictive maintenance, and grid optimization. Recent publications highlight advancements in HVDC/HVAC grid qualification, machine learning for load control detection, and synchronization challenges in power quality data. His research bridges theoretical analysis with practical applications in industrial and urban electrical systems. Mr. Pakonen's work has addressed challenges in rural grid management, including reserve power solutions and cabling practices. He collaborates on interdisciplinary projects involving energy economics, smart metering systems, and grid-industry interactions.

• Machine Condition Monitoring
• Machinery Fault Detection
• Industrial Maintenance
• +۶ مورد دیگر

Markus Timusk is a Full Professor at the Bharti School of Engineering & Computation, Laurentian University. He holds a PhD in Mechanical Engineering from Queen's University, a MESc in Engineering Science from Western University, and a BESc in Mechanical and Materials Engineering from Western University. He has held key administrative roles including Director of the Bharti School of Engineering, Co-op Program Coordinator, and Mechanical Engineering Program Coordinator. His research focuses on industrial machinery reliability with emphasis on: Advanced condition monitoring techniques for mining equipment Fault detection in rotating machinery using vibration/acoustic analysis Dynamic modeling of gear systems under defects Machine learning applications for predictive maintenance Instrumentation development for real-time diagnostics Recent publication trends (2011-2020) demonstrate a consistent focus on gear dynamics, bearing fault detection, and signal processing innovations for industrial applications. His work frequently addresses challenges in variable-load environments and incorporates novel approaches like wavelet analysis and neural networks. Administrative leadership includes directing engineering programs and developing industry-academic partnerships through co-op initiatives.

• Artificial Intelligence
• Embedded Systems
• Signal Processing
• +۴ مورد دیگر

Hans Hallez is an Associate Professor at the KU Leuven , affiliated with the Faculty of Engineering Technology and the Department of Computer Science . He leads research in Wireless Programmable Sensor Networks and Sensor-Based Algorithm Development and Signal Processing . His work spans interdisciplinary domains including Artificial Intelligence , Embedded Systems , Edge Computing , and Biomedical Applications . Member of the KU Leuven Student Services Council Senior academic staff in Faculty of Engineering Technology Council Promotor/Co-promotor for 10+ R&D projects (2024-2029) His recent research focuses on fault-tolerant control systems , medical edge computing , and smart drug delivery materials . Collaborative projects integrate AI in embedded systems and distributed sensor networks for healthcare and industrial applications. He teaches modules in Data Engineering , Digital Signal Processing , and Distributed Embedded Software Engineering , with industry-focused courses like Upgradable Machine Design and Industrial Internet of Things .

Eric Koskinenمشاهده پروفایل

دانشیار

• Software Verification
• Concurrency
• Programming Languages
• +۵ مورد دیگر

Eric Koskinen is the Charles Berendsen Associate Professor (with tenure) of Computer Science at Stevens Institute of Technology in Hoboken, New Jersey. He is also a co-founder of the Commute Workshop at PLDI 2022 and has previously held positions as Researcher at Yale University and Visiting Professor at New York University. Education: Ph.D. in Computer Science, University of Cambridge (UK) Research Interests: Koskinen's research lies at the intersection of software verification , programming languages , and concurrency . He develops automated techniques to ensure reliable and efficient software, with a particular emphasis on commutativity analysis , parallelization , and language-level abstractions for multicore and distributed systems. His recent focus includes the Veracity programming language that introduces commute blocks to simplify concurrent programming. Scientific Awards & Honors: POPL 2023 Distinguished Paper Award Provost's Early Career Award for Research Excellence (2020) CAV 2011 Award Paper Advising & Funding: Prof. Koskinen currently advises three Ph.D. students—Adam Chen, Parisa Fathololumi, and Mihai Nicola—and has recently graduated Cyrus Liu (Ph.D. 2022). His research group has been generously supported by more than $5 million in competitive grants from the NSF, ONR, and DARPA. Recent awards include: NSF: Concurrent Objects ($593k, 2023) ONR: AVTA Transition ($215k, 2022) NSF: Dynamic Analysis ($399k, 2021) NSF: Commutativity Analysis ($495k, 2020) ONR: Temporal Alignment ($3.2M, 2017) Labs & Tools: His group maintains an active open-source tool suite including Veracity (interpreter for commute blocks), Servois2 (commutativity synthesizer), Dynamite (termination/non-termination checker), DarkSea (temporal verifier for binaries), CityProver (commutativity verifier), Knotical (trace-refinement synthesizer), and DrNLA (non-linear to linear integer arithmetic rewriter).

• Automatic Control
• Model Predictive Control
• Large-Scale Systems
• +۷ مورد دیگر

Pau Segovia Castillo is a Beatriz Galindo Fellow in the Department of Automatic Control at Universitat Politècnica de Catalunya (UPC), where he conducts research in large-scale systems control. He is affiliated with the Advanced Control Systems (SAC) research group at the Research Center for Supervision, Safety and Automatic Control (CS2AC). Previously, he held postdoctoral positions at IMT Lille Douai (2019–2020), Delft University of Technology (2020–2023), and UPC (2023). BS/MS in Industrial Engineering, Universitat Politècnica de Catalunya (UPC), 2015 Joint PhD in Automatic Control, Robotics and Vision, UPC and IMT Lille Douai, France, 2019 His research focuses on non-centralized predictive control approaches for managing large-scale systems, with applications in water resources systems, intelligent transportation systems, and energy systems. He applies model predictive control, digital twin technologies, and switching control strategies to real-world infrastructure such as canals, irrigation networks, and inland waterways. His work emphasizes real-time optimization, robustness, and scalability in complex environments. The recent publications highlight a strong trend in model predictive control applied to waterway and transportation systems. Key themes include coordination of vessels and bridges, digital twin implementation, multilayer control architectures, and observer design for nonlinear systems. The research spans both theoretical advances in control theory and practical implementations using real databases and simulations. Scientific recognition includes: Beatriz Galindo Fellow He advises PhD students, including Javier Pedrosa Alias, and has been involved in collaborative research projects across institutions in Spain, France, and the Netherlands. His work is supported by his fellowship and integrated within the SAC research group, contributing to national and international efforts in smart infrastructure and automation. The research group CS2AC provides a multidisciplinary environment for supervision, safety, and automatic control applications. He is a member of the Advanced Control Systems (SAC) research group at CS2AC, which focuses on developing advanced control methodologies for safety-critical and large-scale systems. The team works on real-time monitoring, fault detection, and optimization of industrial and environmental processes.

• Model-Based System Engineering
• Autonomous Systems
• Smart Mobility
• +۳ مورد دیگر

Roland Scherwey is a Full Professor and Head of Institute at the Fribourg School of Engineering and Architecture. His expertise lies in Model-Based System Engineering, Smart Mobility, and Safety Analysis. He leads research in autonomous systems, teleoperation, and embedded systems design. Education: BSc in Electrical Engineering His research focuses on integrating advanced technologies for sustainable mobility solutions. Key projects include developing autonomous agricultural robots and teleoperated vehicle systems. He collaborates with SwissMoves and the iSIS Institute, contributing to safety-critical systems and smart infrastructure. Notable achievements include pioneering Switzerland’s first teleoperated public transport system and establishing methodologies for automated safety analysis in complex systems.

• Materials Physics
• Thin Film Technology
• Mechanical Properties of Materials
• +۳ مورد دیگر

Michael Meindlhumer holds the Chair of Materials Physics. His research focuses on advanced materials characterization techniques, particularly X-ray diffraction and micromechanical testing, to study thin films, nanocomposites, and structural materials. He investigates thermomechanical fatigue, crack arrest mechanisms in ceramics, and the mechanical behavior of nanocrystalline alloys. Collaborations with institutions like the ESRF synchrotron highlight his work in high-resolution material analysis. Key areas include fracture mechanics at micro/nano scales, phase transformations in coatings, and additive manufacturing of high-performance materials. His contributions address challenges in material durability, interface engineering, and stress/strain analysis under extreme conditions.

• Geomorphology
• Palaeoclimate
• Sedimentology
• +۴ مورد دیگر

Mitch d'Arcy is an Assistant Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on geomorphology, palaeoclimate, and sedimentology, with expertise in geochronology and remote sensing. Current affiliations include UBC's EOAS Climate Research initiatives and the German Humboldt Foundation's Feodor Lynen Fellowship network. Education: 2006–2010: MSci in Geology, Imperial College London 2011–2015: PhD in Geomorphology, Imperial College London Research Interests: Dr. d'Arcy investigates how climate change impacts landscapes and sedimentary systems, particularly in western North America and the Central Andes. His work integrates field mapping, cosmogenic nuclide dating, and remote sensing to reconstruct past hydroclimate conditions. Key themes include: Climate-driven sediment dynamics on alluvial fans Paleoenvironmental reconstructions using geomorphic records Quantifying erosional and depositional responses to abrupt climate shifts (e.g., Younger Dryas) Advising & Grants: He supervises graduate students and postdocs in interdisciplinary projects, emphasizing field-based research and innovative dating techniques. Current opportunities include: PhD/postdoc positions in climate-landscape interactions Cross-disciplinary collaborations with remote sensing and geochronology experts Labs/Teams: His research group specializes in sediment-routing systems, combining fieldwork in arid and alpine environments with advanced analytical methods like cosmogenic nuclide analysis and multispectral imagery.

Sasikumar Punnekkatمشاهده پروفایل

استاد

• Dependable Software Engineering
• Real-time Systems
• Safety-Critical Systems
• +۵ مورد دیگر

Roles & Affiliations: Professor in Dependable Software Engineering at Mälardalen University (MDU), leading the Dependable Software Engineering research group. Former Head of Software Test & Reliability Engineering at Indian Space Research Organization (ISRO), Director of BITS Pilani KK Birla Goa Campus (Mar 2015–Aug 2016), and Visiting Researcher at Ericsson since 2022 (funded by SSF's strategic mobility program). Education: PhD in Computer Science from University of York, UK (1997), focusing on schedulability analysis of fault-tolerant systems (awarded Commonwealth Scholarship). Research Interests: Real-time systems, dependability, software engineering, safety-critical systems, cybersecurity, and industrial IoT. Key focus areas include fault-tolerant scheduling, safety-critical software design, and system-of-systems analysis. Funding & Projects: Led major EU projects (InSecTT, SUCCESS, DAIS, EUROWEB series) and national initiatives. Coordinated large EU educational collaborations with Western Balkans/Asia. Active in projects like FORA fog computing platform and TSN networks. Awards & Recognition: 6 Best Paper Awards, Senior Member of IEEE, and frequent contributor to conference program committees (ETFA, HASE, DATE, etc.). Grants & Labs: Recipient of SSF strategic mobility funding. Research group develops solutions for automotive systems, industrial automation, and safety-critical infrastructure.

Philippe Testeمشاهده پروفایل

پژوهشگر

• Electric Arcs
• Plasma Physics
• High Voltage Engineering
• +۳ مورد دیگر

Philippe Teste is a researcher at Paris-Saclay University, affiliated with the Laboratory of Electrical and Electronic Engineering of Paris (GeePs). His work focuses on electric arcs, plasma physics, and high voltage engineering, with particular applications to aerospace electrical systems. Dr. Teste's research interests span across several key areas in electrical engineering, with a focus on electric arc phenomena , plasma physics , and high voltage systems . His work explores the behavior of electric arcs under various conditions, particularly in low-pressure environments relevant to aerospace applications. He has made significant contributions to understanding arc dynamics, stability, and extinction mechanisms, which are critical for aircraft electrical safety. His research also extends to material interactions with electric arcs, studying electrode erosion and thermal effects on contact materials. Analysis of Dr. Teste's recent publications reveals a strong focus on aeronautical applications of electrical engineering. His work consistently addresses challenges related to electric arcs in low-pressure environments, which is crucial for aircraft electrical systems. The research shows progression from fundamental plasma physics to practical engineering applications, with increasing sophistication in measurement techniques and modeling approaches. Key trends include the development of advanced diagnostic methods for arc characterization, investigation of arc behavior under extreme conditions, and application of findings to improve aircraft electrical safety. Dr. Teste is actively involved in the GeePs research laboratory, collaborating with experts in electrical engineering, plasma physics, and aerospace systems. His work contributes to the development of safer and more reliable electrical systems for modern aircraft, addressing critical challenges in aviation safety related to electrical faults and arc phenomena.

Yi Cuiمشاهده پروفایل

مدرس ارشد

• Wide-area monitoring and control
• Data analytics
• Cyber-security of smart grids
• +۴ مورد دیگر

Dr. Yi Cui is a Senior Lecturer in the School of Electrical Engineering and Computer Science at the University of Queensland (UQ), Australia. He holds a Ph.D. in Electrical Engineering from UQ (2016) and previously served as a Research Associate at the University of Tennessee, Knoxville, USA. His expertise spans wide-area monitoring and control, smart grid cybersecurity, data analytics, and condition assessment of power transformers. Education: - B.Eng. and M.Eng. from Southwest Jiaotong University, China (2009, 2012) - Ph.D. in Electrical Engineering, University of Queensland (2016) Research Interests: Dr. Cui focuses on cybersecurity strategies for smart grids, data-driven approaches to power system stability, and condition monitoring of power equipment. His work integrates advanced analytics, machine learning, and sensor technologies to enhance grid resilience and transformer reliability. Grants & Projects: - Cybersecurity Defence Strategies of Distribution Synchrophasor in Smart Grids (UQ Cyber Seed Funding, 2021–2022) - Collaborations with industry partners like Northern Territory Power and Water Corporation on network analytics. Teaching & Supervision: Available for supervision in electrical engineering and computer science, focusing on renewable energy integration, smart grid technologies, and power system cybersecurity. Labs/Teams: Contributes to UQ's Cyber Security Research Group and collaborates with international institutions on cybersecurity and smart grid initiatives.

Calum Imrieمشاهده پروفایل

پژوهشگر

• High Integrity Systems
• Computer Science
• Software Engineering
• +۲ مورد دیگر

Calum Imrie serves as a Research Associate within the Department of Computer Science at the University of York, based at the ISA office location and affiliated with the High Integrity Systems research group. His work focuses on developing and verifying systems where failure could lead to catastrophic consequences in critical applications. Research interests center on High Integrity Systems, encompassing Safety-Critical Systems design, Formal Verification methodologies, and Software Engineering for reliable computing environments. This work addresses fundamental challenges in aerospace, medical devices, and transportation systems where absolute system reliability is non-negotiable. The High Integrity Systems research team employs rigorous mathematical approaches to system validation, including model checking, theorem proving, and fault-tolerant architecture design to ensure operational safety under all conceivable conditions. No scientific awards or honors were documented in the available institutional records. Public information does not indicate any student supervision activities or research grant management responsibilities for Calum Imrie within the departmental structure.

• Theoretical Computer Science
• Algorithm Design
• Distributed Computing
• +۳ مورد دیگر

Yannic Maus is a Professor at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology (TU Graz), Austria, where he heads the Institute of Algorithms and Theory (founded in 2025). He is also a co-leader of one of the five Fields of Expertise (FoE) at TU Graz, specifically in Information, Communication & Computation. Dr. Maus received his PhD from the Algorithms and Complexity group at the University of Freiburg (Germany) under the supervision of Fabian Kuhn. Prior to joining TU Graz, he was a postdoctoral researcher at the Technion in Israel in the group of Keren Censor-Hillel. His research focuses on theoretical computer science and algorithm design, particularly problems arising in distributed computing. He is fascinated by clean mathematical questions and the techniques involved in solving them, especially when these questions are motivated by real-world systems. His specific interests include distributed graph algorithms, efficient algorithms, data structures, complexity theory, and geometric algorithms. Dr. Maus's work bridges theoretical foundations with practical applications in large-scale networked systems. Analysis of his recent publications reveals a strong emphasis on distributed algorithms for graph problems, with significant contributions to graph coloring, symmetry breaking, and vertex cover problems across various computational models. His research demonstrates increasing focus on massively parallel computation (MPC) models alongside traditional distributed computing frameworks, addressing challenges related to bandwidth limitations, memory constraints, and adaptive algorithms. The interdisciplinary nature of his work connects theoretical computer science with practical system constraints. GI Dissertationspreis 2018 Wolfgang-Gentner-Nachwuchsförderpreis 2019 2020 Principles of Distributed Computing Doctoral Dissertation Award Best Paper Award at PODC 2016 Best Paper Award at SIROCCO 2016 Best Paper Award at DISC 2017 Dr. Maus actively mentors students at all levels, offering bachelor's and master's theses as well as PhD positions in his research group. His research is supported by multiple competitive grants including FWF grants P36280-N (2023-2027), DOC 183 (2024-2028) and I6915 (2024-2028), and FFG grant No. 59263962. His group maintains strong international collaborations with research teams across Germany, Finland, Iceland, and Israel, facilitating knowledge exchange and joint research initiatives. The group provides fully funded PhD positions with excellent working conditions, including competitive salaries and travel support. The Institute of Algorithms and Theory, under Dr. Maus's leadership, is part of TU Graz's rapidly growing Faculty of Computer Science and Biomedical Engineering. The research group maintains an inclusive environment that actively encourages women to apply and supports work-life balance for all members. Located in Graz, Austria's second-largest city, the institute benefits from the city's high quality of life, cultural vibrancy, and proximity to both the Alps and Mediterranean regions, providing an excellent environment for academic work and personal life.