جست‌وجوی استاد و پژوهشگر

Martin Marie Hubert Chouxمشاهده پروفایل

دانشیار

• Mechatronics
• Robotics
• Automatic Control
• +۴ مورد دیگر

Martin Marie Hubert Choux is an Associate Professor at the Department of Engineering Sciences , University of Agder, Norway. He holds dual M.Sc. degrees in Mechatronic Engineering from École Nationale Supérieure d'Art et Métiers (France) and University of Queensland (Australia), and a Ph.D. in Automatic Control from Technical University of Denmark (2011). Education: M.Sc. in Mechatronic Engineering, École Nationale Supérieure d'Art et Métiers, Paris, 2006 M.Sc. in Mechatronic Engineering, University of Queensland, Brisbane, 2006 Ph.D. in Automatic Control, Technical University of Denmark, Copenhagen, 2011 His research focuses on mechatronics , robotics , and battery recycling , with over 15 recent publications (2024–2019) on: Automated Disassembly of lithium-ion batteries Fault Diagnosis in motor drives using structural analysis and neural networks Efficiency Optimization of electric drivetrains in offshore applications Comparative Studies of hydraulic vs. electric actuation systems AI and Robotics for EV battery recycling Control Algorithms for mechanical systems His work spans robotics , automatic control , and sustainable engineering , contributing to electric vehicle and offshore technology advancements.

• High performance computing
• Computational Science and Engineering
• Scientific computing
• +۷ مورد دیگر

Olaf Schenk is a Professor at the Institute of Computing within the Faculty of Informatics at Università della Svizzera italiana (USI), Switzerland. He serves as Director of the Institute of Computing and Co-Director of the Master in Computational Science. He is also an adjunct member of the Computer Systems Institute at USI. PhD in Information Technology and Electrical Engineering, ETH Zurich (2001) Venia Legendi in Mathematics and Computer Science, University of Basel (2009) Applied Mathematics, Karlsruhe Institute of Technology (KIT), Germany His research focuses on high-performance computing , computational science and engineering , and applied algorithms for extreme-scale simulations. He bridges computer science with scientific computing needs, particularly in parallel algorithms , sparse solvers , graph analytics , and manycore architectures . His work emphasizes scalable software tools and programming models for emerging HPC systems. The 15 most recent publications reflect a consistent focus on sparse matrix computations , parallel and task-based algorithms , graph partitioning , and performance optimization for heterogeneous and manycore systems. Keywords span high-performance computing, numerical linear algebra, and large-scale data analysis, showing strong integration of theoretical algorithm design with practical implementation. Olaf Schenk has received several prestigious honors: Elected Fellow, Society for Industrial and Applied Mathematics (SIAM) Senior Member, IEEE and ACM SIAM Supercomputing Prize 2023 IBM Faculty Award Two Leadership Computing Awards from the U.S. Department of Energy He has held leadership roles as Chair, Vice Chair, and Program Director of the SIAM Activity Group on Supercomputing. He serves as Associate Editor for ACM Transactions on Mathematical Software and on the editorial board of SIAM Journal on Scientific Computing . He has participated in over 60 international program committees, including top-tier conferences such as SC, IPDPS, and IEEE CSE. He advises PhD and Master’s students in computational science and leads research projects funded by national and international agencies. He is also the Founder & Director of Panua Technologies Sagl, focusing on high-end software for simulation and optimization. His research group at USI works on next-generation computing tools for extreme-scale scientific simulations, with ongoing work in adaptive algorithms, resilience, and hybrid CPU-GPU computing. He leads collaborative projects with institutions in Europe and the U.S., aiming to develop scalable, robust, and efficient software for future exascale systems.

Prasad Enjetiمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Systems
• Smart Grid Technologies
• +۳ مورد دیگر

Prasad Enjeti is a Professor and Texas Instruments Jack Kilby Chair in Electrical & Computer Engineering at Texas A&M University, College of Engineering. With expertise in power electronics and renewable energy systems, he has significantly advanced grid-connected technologies, energy storage, and power quality solutions. Ph.D., Electrical Engineering, Concordia University (1988) M.S., Electrical Engineering, I.I.T. Kanpur (1982) B.S., Electrical Engineering, Osmania University (1980) His research focuses on power electronic converters for renewable energy integration, solid-state transformers, high-temperature power systems, grid-edge intelligence, and cybersecurity in distributed energy systems. He has pioneered innovations in AC/DC microgrids, droop control, and advanced filtering technologies. Recent publications emphasize cybersecurity for renewable systems, wide-bandgap semiconductor applications, and AI-driven power electronics optimization. He holds 20+ patents and has supervised 29 Ph.D. and over 50 Master's students, many now in leading academic and industrial positions. IEEE Fellow (2000) R. David Middlebrook Technical Achievement Award (2012) Best Paper Awards at PCIM (2014), IEEE IAS IPCC (2003, 2002, 1998, 1996) NSF Research Initiation Award (1990) Texas A&M Faculty Fellow (1996-97, 2001) He leads the Power Electronics Intelligence at the Network Edge (PINE) research group, with significant contributions to eVTOL energy systems, cryptocurrency mining load analysis, and secure peer-to-peer energy transactions.

Hendra I Nurdinمشاهده پروفایل

مدرس ارشد

• Quantum Control
• Quantum Systems
• Systems Theory
• +۱۰ مورد دیگر

Dr. Hendra I Nurdin is a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), where he has been a faculty member since 2012. His academic background spans Electrical Engineering and Applied Mathematics with a focus on systems and control theory, with significant research intersections in quantum physics and power engineering. He serves as an Associate Editor for IEEE Control Systems Letters (IEEE L-CSS) starting from January 2024. Dr. Nurdin's research spans quantum systems and control, nonlinear control of microgrids, and neuromorphic computing for nonlinear systems. His work in quantum control intersects with quantum physics while his research on microgrid control intersects with power engineering. His research has resulted in numerous publications across prestigious journals including Nature Communications, Physical Review Research, IEEE Control Systems Letters, and IEEE Transactions on Automatic Control. His recent publications (2020-2025) predominantly focus on quantum reservoir computing, quantum parameter estimation, control of non-Markovian quantum systems, and applications of control theory to energy systems. The research demonstrates a clear trajectory toward practical implementations of quantum computing concepts and advanced control methodologies for both quantum and classical systems. Associate Editor for IEEE Control Systems Letters (IEEE L-CSS) from January 2024 Dr. Nurdin has supervised several PhD students to completion and currently mentors PhD candidate Wen Liu. His research group has produced significant work in quantum control systems, with former students including Wenxing Li, Yihuan Liao, Jiayin Chen, Jiacheng Li, Muhammad Ali, Zhan Shi, and Onvaree Techakesari. He actively seeks new students with strong academic backgrounds for research in his areas of interest, particularly in quantum systems and control. His laboratory work focuses on quantum systems control, quantum reservoir computing, and microgrid control systems. He has developed courses including ELEC9782 Special Topics in Electrical Engineering 2 (Quantum Control) and teaches ELEC4631 Continuous-Time Control System Design.

• Model-Driven Engineering
• Robotics Software Engineering
• Software Architecture
• +۳ مورد دیگر

Federico Ciccozzi is an Associate Professor in Computer Science at Mälardalen University's School of Innovation, Design and Engineering, where he leads the ASSO research group and the VR ORPHEUS project. He also serves as Head of Research Education in Computer Science and Electronics at the university. His academic journey includes a M.Sc. in Global Software Engineering (via the GSEEM program) and a Ph.D. in Computer Science and Engineering from Mälardalen University (2014), followed by promotion to Docent (Associate Professor) in 2017. Education: M.Sc. in Global Software Engineering (GSEEM program, joint between Mälardalen, L'Aquila, and Amsterdam) Ph.D. in Computer Science and Engineering (Mälardalen University, 2014) Docent (Associate Professor) in Computer Science (Mälardalen University, 2017) His research focuses on model-driven engineering, robotics software engineering, and software architecture. He has pioneered work in blended modeling approaches, EAST-ADL extensions, and formal verification of complex systems, particularly in robotics and automotive domains. Recent projects emphasize industrial collaborations, such as optimizing ROS2 multi-robot systems and enhancing safety-critical software through model-based methodologies. Research Contributions: Developed frameworks for transforming surface languages into augmented EAST-ADL models Advanced blended modeling techniques across JetBrains MPS and Eclipse tools Examined consistency management in industrial model-driven development Edited special issues on model-driven engineering and low-code development His work bridges academic innovation and industrial practice, with notable projects like the Rubus Component Model for vehicular systems. He actively organizes workshops (e.g., RoSE, ASYDE) and contributes to standardization efforts like the Portable Test and Stimulus Standard. Labs/Teams: Leads the ASSO research group, focusing on advanced software engineering methodologies and robotics systems development.

Georgia Dedeمشاهده پروفایل

استادیار

• Cybersecurity
• Telecommunications
• Operations Research
• +۵ مورد دیگر

Georgia Dede is an Assistant Professor at the Department of Informatics and Telematics, School of Digital Technology, Harokopio University of Athens. Her expertise lies in evaluating systems and electronic services, with a focus on cybersecurity, telecommunications, and operations research. She holds a PhD from National and Kapodistrian University of Athens (2015), a Master’s in Management and Economics of Telecommunications Networks (2007), and an undergraduate degree in Informatics and Telematics (2005). Education: PhD: Decision Making Methods and Uncertainty Study (2015), National and Kapodistrian University of Athens Master’s: Management and Economics of Telecommunications Networks (2007), National and Kapodistrian University of Athens Bachelor’s: Informatics and Telematics (2005), National and Kapodistrian University of Athens Research Interests: Georgia’s research spans cybersecurity frameworks, pairwise comparison methodologies for decision-making, and economic modeling of telecommunications infrastructure. She explores topics like resilient IoT systems, AI applications in governance, and competitive dynamics in energy and telecom markets. Her work integrates technical and socio-economic perspectives to address challenges in network security, service evaluation, and policy design. Grants and Projects: Leading and participating in EU-funded programs under Horizon Europe and Digital Europe initiatives Prior roles as senior advisor/administrator at Netcompany Intrasoft and ENISA Labs/Teams: Her involvement in projects at Harokopio University and collaborations with institutions like the University of Patras emphasize applied research in digital technology and policy innovation.

Christian Fibichمشاهده پروفایل

پژوهشگر

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

• Information Systems
• Design Methodologies
• Product and Systems Design Engineering
• +۷ مورد دیگر

Thomas Spyrou is an Assistant Professor in the Department of Product and Systems Design Engineering at the University of the Aegean. He holds a Physics degree from the National and Kapodistrian University of Athens and a PhD in Decision Support Systems - Artificial Intelligence from the University of the Aegean. His research focuses on Information Systems, Design Methodologies, and Sustainability, with an emphasis on Decision Support Systems, Simulation, and Cybernetics. Key affiliations include the Department of Product and Systems Design Engineering at the University of the Aegean, where he has contributed to curricula development and interdisciplinary projects. His work spans design theory, digital tools for art and sustainability, and systems thinking applied to creative processes. Research interests include Design Support Systems, Biomimetic Service Design, and the integration of tacit knowledge into design frameworks. His recent projects involve tools like DDArtS for street art creation and Spyractable for tangible user interfaces. Over 50 publications highlight his contributions to design, technology, and cybersecurity.

Kim Jelfsمشاهده پروفایل

استاد

• Computational Materials Chemistry
• Physical Chemistry
• Materials Engineering
• +۴ مورد دیگر

Prof. Kim Jelfs is a Professor in Computational Materials Chemistry at Imperial College London's Department of Chemistry, part of the Faculty of Natural Sciences. Her research focuses on computational design of functional molecular materials, particularly porous organic cages, polymer membranes, and materials for energy storage. She leads the Jelfs Group, collaborating with synthetic teams to bridge theory and experiment. Key affiliations include the Institute for Digital Molecular Design and Fabrication (DigiFAB), the Artificial Intelligence Network, and the Thomas Young Centre. Her work is funded by the Royal Society, EPSRC, ERC, and industry partners. Research interests span materials engineering, theoretical chemistry, and AI-driven discovery. Notable projects involve developing porous liquids, ion-selective membranes for batteries, and computational workflows for material screening. She co-directs DigiFAB and contributes to Imperial's Data Science Institute. Her group emphasizes interdisciplinary approaches to accelerate material innovation.

Alberto L. Sangiovanni-Vincentelliمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Design Automation
• Embedded Systems
• +۷ مورد دیگر

Alberto L. Sangiovanni-Vincentelli holds the Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a pioneer in Electronic Design Automation (EDA) and co-founder of Cadence and Synopsys. His research focuses on Cyber-Physical Systems (CPS), embedded systems, hybrid systems, and formal methods for AI. He has authored over 800 papers and 17 books, with major contributions to design automation and methodologies. Education: Dr. Ing., EECS, Politecnico di Milano (1971) Research interests include design methodologies, CPS, and AI integration. He has received numerous awards, including the IEEE James Clerk Maxwell Medal (2008) and ACM/IEEE A. Richard Newton Technical Impact Award (2009). He serves on multiple corporate boards and advisory councils, including the Strategic Committee of the Italian Strategic Fund and the Executive Committee of the Italian Institute of Technology. His work spans academia, industry, and policy, with a focus on innovation ecosystems and CPS design automation. Awards: Over 20 major honors, including Fellowships from IEEE and ACM.

• Medical Technology
• Biomedical Engineering
• Optics
• +۵ مورد دیگر

Peyman Mirtaheri is a Professor at the Department of Mechanical, Electronics and Chemistry (MEK) under the Faculty of Technology, Art and Design at Oslo Metropolitan University (OsloMet). He also holds an Adjunct Professor position at the Faculty of Biomedical Engineering at Michigan Technological University, USA. His primary role involves teaching courses such as Medical Sensors and Actuators (ACIT4720) and the upcoming BioInspired Systems (fall 2025). Research Interests: Professor Mirtaheri leads the ADEPT lab (ADvanced hEalth intelligence and brain-insPired Technologies) and ADEPT_technology, focusing on: Developing measurement techniques for brain activity detection and analysis Applying fNIRS (functional near-infrared spectroscopy) and EEG (electroencephalography) to study movement, balance, and cerebral cortex activity Advancing bio-inspired systems and health technology Key Projects: His active research includes Use of 3D printers in future rehabilitation (knowledge-based and patient-centered solutions) and completed work on Brain activity during walking and balance . Labs & Collaborations: He integrates his optical/NIRS laboratory into OsloMet's ADEPT lab, collaborating with institutions like Michigan Technological University and contributing to global conferences such as the IEEE International Symposium on Circuits and Systems and the ISPO World Congress .

• Multifunctional Materials
• Multifunctional Composites
• Graphene-based Composites
• +۱۲ مورد دیگر

Dr. Nisa Salim is a Senior Lecturer at the School of Engineering, Swinburne University of Technology , where she conducts pioneering research in multifunctional composite materials, smart coatings, and sustainable energy technologies. Her work is aligned with national and global priorities in space technology, clean energy, and circular economy. Institution: Swinburne University of Technology School: School of Engineering Academic Rank: Senior Lecturer Email: nsalim@swin.edu.au ORCID: 0000-0001-8069-8039 Dr. Salim’s research focuses on developing smart, engineered materials that can sense, actuate, and store energy. Her key areas include graphene-based composites, structural health monitoring, hydrogen storage, and digitalization of composite manufacturing. She leverages advanced nanomaterials to create next-generation composites for aerospace, marine, robotics, and energy applications. The recent publications highlight a strong trend in multifunctional materials, particularly in energy storage (supercapacitors, hydrogen), smart sensing (graphene sensors, digital twins), and sustainable composites (biomass-derived carbon, recycled polymers). Her work integrates machine learning, IoT, and Industry 4.0 principles into material design and manufacturing processes. Scientific Awards and Recognition Alexander von Humboldt Fellowship Philip Law Award, Royal Society of Victoria Theo Murphy Award, Australian Academy of Science Alfred Deakin Post-Doctoral Fellowship Victoria Fellowship Endeavour Research Fellowship AINSE Gold Medal for PhD Excellence University Ambassador, Royal Australian Chemical Institute Dr. Salim actively supervises PhD and master’s students in cutting-edge projects related to hydrogen storage, lunar dust mitigation, structural batteries, and smart coatings. She has secured multiple competitive grants from ARC, CSIRO, and industry partners, including projects on Scalable Graphene Enabled Smart Composites and Passive Lunar Dust Mitigation . Her editorial roles include serving on the boards of Chemical Engineering Journal , Polymers , and Journal of Composites Science . She leads research in advanced labs focused on composite manufacturing, nanomaterial synthesis, and smart sensor integration, often in collaboration with CSIRO, University of Melbourne, and international institutions. Her vision is to develop living materials that enable digitalization and IoT integration in engineering systems.

John S. Hutchinsonمشاهده پروفایل

استاد

• Theoretical Chemical Physics
• Computational Vibrational Dynamics
• Chemical Education Research
• +۳ مورد دیگر

John S. Hutchinson is a Professor of Chemistry and Associate Chair for Undergraduate Studies at Rice University. His academic career spans over 40 years, including roles as Dean of Undergraduates (2010-2018), Associate Vice President for Student Affairs, and residential college faculty master. He earned his B.S. and Ph.D. from the University of Texas, where his doctoral work was recognized as Outstanding Dissertation in 1981. Hutchinson specializes in theoretical chemical physics, focusing on vibrational dynamics of reactive molecules, and chemical education research emphasizing active learning and constructivist approaches. His textbook Concept Development Studies in Chemistry is a cornerstone of interactive teaching methods. His research has been supported by NSF, Welch Foundation, and other organizations. He has advised 8 doctoral and 3 master’s students. Hutchinson has pioneered innovations in general chemistry instruction, including online resources and teacher training programs. He has received prestigious accolades including multiple George R. Brown Awards for Teaching Excellence, the Piper Professor recognition, and the George R. Brown Certificate of Highest Merit. Beyond academia, he is a folk guitarist and avid hiker in Colorado. Key contributions include advancing active learning methodologies, developing inquiry-based laboratory systems, and creating scalable teacher professional development programs using distance learning. His work bridges theoretical chemistry with practical educational advancements, impacting both undergraduate STEM education and science teacher preparation nationwide.

• Law and technology
• Tort law
• Artificial intelligence
• +۳ مورد دیگر

Jan De Bruyne is a Lecturer at the Faculty of Law and Criminological Sciences, KU Leuven. He chairs the Research Unit KU Leuven Centre for IT & IP Law and serves as Division Head of the CiTiP Division (Center for IT & IP Law). He is actively involved in interdisciplinary research at the intersection of law, artificial intelligence, and technology, with a focus on liability frameworks, data governance, and ethical AI. Member of Leuven.AI - KU Leuven Institute for Artificial Intelligence Member of LIM - KU Leuven Institute for Mobility Member of LISS - KU Leuven Institute for Sports Sciences His research interests center on legal challenges posed by artificial intelligence, including liability for AI systems, comparative law approaches, and ensuring compliance through design. He explores fairness in AI through moral damage compensation, safety principles in healthcare AI, and regulatory mechanisms for human oversight in AI systems. His work addresses the democratization of Big Tech regulation, quality improvement in hernia surgery via big data, and user flexibility in energy networks. Recent publications analyze intersections between the AI Act and GDPR, EU data regulation for energy transitions, and comparative liability frameworks for autonomous vehicles. As a promotor or co-promotor, he leads 12 active research projects (2024-2028) on topics ranging from AI ethics to medical device regulation. Jan De Bruyne teaches courses including ICT Law, Electronic Contracts Law, and Technology & Law at KU Leuven.

• Electrical Energy and Power Systems
• Power System Optimization
• Renewable Energy Integration
• +۴ مورد دیگر

Salih ERMİŞ serves as Assistant Professor and Department Head in the Department of Electrical and Electronics Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture. With 25+ years of continuous service since 2000, he progressed from Instructor to Doctoral Lecturer in 2018 and assumed departmental leadership in 2022. His academic foundation includes a PhD (2019), MSc (2003), and BSc (2000) in Electrical Education from Gazi University, complemented by English proficiency certification (YDS 55, 2015). His educational journey demonstrates deep institutional commitment: PhD: Electrical Education, Gazi University Institute of Science (2004-2019) MSc: Electrical Education (Thesis), Gazi University Institute of Science (2001-2003) BSc: Electrical Education, Gazi University Faculty of Technical Education (1995-2000) ERMİŞ's research centers on electrical energy systems with emphasis on metaheuristic optimization applications. His work bridges theoretical algorithms and practical power grid challenges, particularly in voltage stability, renewable integration, and smart grid technologies. Recent publications reveal a strategic shift toward photovoltaic forecasting and educational technology, including augmented reality tools for circuit analysis. His methodology consistently applies nature-inspired algorithms (Ant Colony, Grey Wolf, Particle Swarm) to solve multi-objective power flow problems while addressing agricultural energy needs and distribution network efficiency. His publication portfolio shows consistent growth in high-impact domains, with 2023-2025 works focusing on distributed generation optimization, PMU placement, and environmental economic dispatch. The research demonstrates strong industry relevance through industrial control circuit analysis and solar radiation-based output estimation. Award recognition includes: Best Paper Award at 2017 IEEE ICRERA for FACTS devices research As an advisor, he has supervised two Master's theses on photovoltaic forecasting and metaheuristic load flow analysis. His grant leadership spans seven projects including mobile AR applications for engineering education (2025-2027), short-circuit fault analysis software (2023-2024), and solar panel efficiency testing (2021-2023). Collaborative work with researchers like Ramazan Bayındır and Mehmet Yeşilbudak over 2016-2023 demonstrates sustained interdisciplinary teamwork. Current initiatives focus on visual programming tools for power system education and hybrid PV/wind optimization.