جست‌وجوی استاد و پژوهشگر

• Computer Science
• formal methods
• Security
• +۶ مورد دیگر

Marc Frappier is a full professor at Université de Sherbrooke with over 25 years of academic experience. His research focuses on formal methods , security , and software synthesis . He holds a PhD from the University of Ottawa (1995), a Master's (1990) and Bachelor's (1986) from Université de Sherbrooke. Research Areas: Formal specification/verification, intrusion detection, access control, ASTD/TASTD modeling, automotive systems Grants: NSERC, MITACS, PSEPC, CSE Canada, Natural Resources Canada (total over $2.5M) Selected Publications highlight formal methods in automotive systems, security policy verification, and real-time modeling. His work spans cross-domain collaborations including healthcare, industrial systems, and cybersecurity. Scientific Awards: Distinguished Service Award 2019 (Cs-Can | Info-Can) Committee Roles : Program Committee member for 15+ conferences (2012-2021), including ABZ, ICFEM, HASE, and RAMiCS.

• Vehicle Dynamics
• Intelligent Vehicles
• Off-road Vehicle Mobility
• +۲ مورد دیگر

Ajay Kumar is a Lecturer in Vehicle Mobility at Cranfield University, affiliated with the Weapons and Vehicle Systems Group in the Centre for Defence Engineering. He serves as course director for the MSc in Expeditionary Warfare Systems Engineering (delivered in the USA) and module leader for Military Vehicle Dynamics (taught in the UK and overseas). His academic background includes: BEng in Mechanical Engineering from the University of Pune, India (1999) MSc in Automotive Engineering from Coventry University (2007) Dr. Kumar's research centers on vehicle dynamics, with emphasis on intelligent vehicles and off-road mobility. He investigates novel suspension systems and ride/handling characteristics, bridging automotive engineering and military vehicle technology through experimental and computational approaches. Recent publications demonstrate expertise in unmanned ground vehicle mobility and AI trustworthiness. The 2024 study employs discrete element method to analyze scalability in tyre-soil interaction, while the 2021 work established frameworks for AI trust thresholds, reflecting interdisciplinary integration of robotics, computational mechanics, and defense applications. His research is supported by the UK Ministry of Defence and QinetiQ. As part of the Weapons and Vehicle Systems Group, he contributes to defense engineering projects involving vehicle-terrain interaction and mobility assessment.

• Manufacturing Technologies
• Material Design and Behavior
• Finite Element Analysis
• +۳ مورد دیگر

Assoc. Prof. Dr. Süleyman KILIÇ is a faculty member at Ahi Evran University , where he serves in the Faculty of Engineering and Architecture , Department of Mechanical Engineering . He holds a PhD in Mechanical Engineering (2016) and an MSc (2009) from Niğde University, and a BSc (2006) from Kırıkkale University. Research Interests: Manufacturing Technologies Material Design and Behavior Finite Element Analysis Friction Stir Welding Advanced High-Strength Steels Springback Behavior Article Trends: Recent publications focus on friction stir welding of aluminum alloys, springback analysis in sheet metal forming, yield criteria modeling (Barlat89, Hill48), and temperature/strain rate effects on material properties. His work combines experimental testing with numerical simulations for automotive and aerospace applications. Scientific Awards: Best Presentation Award at 2nd International Mediterranean Science and Engineering Congress (2017) Advising: Supervised 4 Master's theses (2023-2024) on topics like agricultural tire technologies, friction stir welding, and springback optimization. Collaborated extensively with researchers on material testing and forming limit diagrams.

Tobias Windischمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Reinforcement Learning
• +۴ مورد دیگر

Prof. Dr. Tobias Windisch is a Professor at the University of Applied Sciences Kempten, where he serves as head of the Institute for Machine Vision within the Faculty of Mechanical Engineering. He leads the Optical 3D Measurement and Computer Vision Laboratory (3D visionlab) and oversees research activities focused on machine learning applications for industrial automation. Dr. Windisch received his PhD in mathematics from OvGU Magdeburg under the supervision of Thomas Kahle, and holds an Honors Master's degree in mathematics from TU Munich within the elite TopMath program. Prior to his academic career, he worked on machine learning projects for Robert Bosch GmbH and Daimler TSS GmbH (now Mercedes-Benz Tech Innovation). His research spans machine learning, computer vision, and optical sensing with a strong focus on industrial applications. Windisch's work primarily explores how reinforcement learning can be combined with optical sensing to develop intelligent control strategies for manufacturing processes. His team develops mechanical processes built around machine learning models to further automate industrial applications using data from optical sensors. The research has practical applications in automotive production, quality control, and precision manufacturing. Analysis of his recent publications reveals a strong trend toward practical implementations of machine learning in industrial settings, with particular emphasis on reinforcement learning for process optimization, drift detection in high-dimensional data, and causal structure learning for manufacturing analytics. His work bridges theoretical machine learning with real-world industrial challenges. As a dedicated educator and research leader, Windisch maintains high standards for academic integrity and excellence. He believes in creating an environment where students can focus deeply, think boldly, and innovate through meaningful research. Dr. Windisch leads a dynamic research group with numerous Master's and Bachelor's students working on cutting-edge projects including reinforcement learning for active alignment, drift detection in sensory data, latent drift detection with Autoencoders, and representation learning for industrial processes. His laboratory, the 3D visionlab, serves as the physical hub for this research. The Institute for Machine Vision under his leadership develops practical tools and frameworks such as relign, lineflow, and driftbench that are openly available on GitHub, demonstrating his commitment to reproducible research and practical applications.

Zdenek P. Bazantمشاهده پروفایل

استاد

• Nonlinear Fracture Mechanics
• Size Effects and Scaling
• Structural Stability
• +۲۰ مورد دیگر

Zdeněk P. Bažant is the McCormick Institute Professor and Walter P. Murphy Professor of Civil and Environmental Engineering at Northwestern University, with courtesy appointments in Mechanical Engineering and Materials Science and Engineering. A registered structural engineer in Illinois since 1971, he holds a C.E. (1960) from Czech Technical University, a Ph.D. (1963) in Engineering Mechanics from Czechoslovak Academy of Sciences, and a Docent in Concrete Structures (1967) from Czech Technical University. Czech Technical University in Prague, Civil Engineer (C.E.), 1960 Czechoslovak Academy of Sciences, Ph.D. in Engineering Mechanics, 1963 Charles University, Postgraduate Diploma in Theoretical Physics, 1966 Czech Technical University, Docent (Habilitatis) in Concrete Structures, 1967 His research spans fracture mechanics , size effects in material failure, creep and hygrothermal modeling in nanoporous solids, probabilistic mechanics , and computational methods for concrete, rocks, composites, and biomimetic materials. Recent work includes hydraulic fracturing in shale, CO2 sequestration , and WTC collapse mechanics . Key publications focus on fracture scaling , concrete durability , and multi-physics modeling . Awards include ASME Medal , ASCE Lifetime Achievement , and 7 honorary doctorates . He has contributed to engineering standards for concrete and composite materials. ASME Timoshenko Medal Austrian Cross of Honor for Science and Art 7 Honorary Doctorates Northwestern's ZP Bazant Medal Stanford's #1 Civil Engineering Citation Rank (2019) He leads research on creep-shrinkage interactions , microprestress-solidification theory , and AI-aided material optimization , with applications in nuclear waste storage , geothermal energy , and impact-resistant composites . His work has been cited in over 250,000 publications (ISI Highly Cited).

Wagner Ourique De Moraisمشاهده پروفایل

مدرس

• Ambient Assisted Living (AAL)
• Smart Home Systems
• Healthcare Technology
• +۳ مورد دیگر

Wagner Ourique De Morais is a Lecturer at the Academy of Information Technology , Halmstad University, with a focus on Smart Home Systems and Healthcare Technology for elderly populations. Doctoral Thesis : Architecting Smart Home Environments for Healthcare: A Database-Centric Approach (2015) Key Research Areas : Ambient Assisted Living (AAL), Graph Neural Networks for Clinical Prediction, IoT-Edge-Cloud Offloading, and Wearable Health Monitors His work spans 15+ years , including publications on Zero-Day Attack Detection in Vehicular Networks (2025), Graph Neural Networks for Clinical Risk Prediction (2024), and Smart Medication Organizers (2017). Research trends emphasize sensor integration , context-aware computing , and security in smart environments . He contributes to projects like the "Safe at Night" initiative and has developed middleware for heterogeneous sensor networks (2008). Current teaching and research at Halmstad University prioritize technology-enabled elderly care and cyber-physical system design .

Fredrik Blixمشاهده پروفایل

دانشیار

• Information Security
• Cybersecurity
• Cyber Attacks
• +۴ مورد دیگر

Name: Fredrik Blix Academic Rank: Associate Professor Affiliation: Department of Computer and Systems Sciences at Stockholm University Specializations: Information Security, Cybersecurity, Cyber Resilience, Cyber Policy, and Threat-Led Penetration Testing Research Interests: Dr. Blix focuses on advanced cybersecurity frameworks, including adaptive security models for multi-stage cyber attacks and systematic engineering approaches for cyber-physical systems. His work addresses compliance standards like NIS2 and GDPR, particularly within the Swedish automotive industry and cloud services. Notably, he developed the ASFA framework for DORA-compliant threat analysis and contributes to security-SLA monitoring in cloud environments. Notable Contributions: His research spans risk quantification models (e.g., FAIR in logistics), attack behavioral pattern analysis for critical infrastructure, and validation of offensive cyber operations frameworks. He also explores intersections between informal, formal, and technical cybersecurity components through case studies like "Special Commando Move".

Marina Epelmanمشاهده پروفایل

استاد

• Mathematical Programming
• Linear Optimization
• Nonlinear Optimization
• +۵ مورد دیگر

Marina Epelman is a Professor in the Department of Industrial and Operations Engineering at the University of Michigan , where she has been a faculty member since Fall 1999. She also serves as the Associate Chair of Graduate Education . Her teaching includes graduate and undergraduate courses in linear and nonlinear optimization , such as Linear Programming II and Nonlinear Programming. PhD in Operations Research from MIT (1999) Her research focuses on mathematical programming , covering linear, semidefinite, and nonlinear optimization , with applications in healthcare operations (e.g., medical residency scheduling, radiation therapy optimization), automotive scheduling (e.g., crash test and vehicle prototyping), and algorithm design (e.g., simplex methods, sampled fictitious play, column generation). Recent publications highlight her work in stochastic optimization for healthcare scheduling, dose distribution in radiation therapy , and automotive production planning . Her methodologies often bridge dynamic programming , Markov decision processes , and network optimization .

Yanying Luمشاهده پروفایل

استادیار

• Materials Engineering
• Energy Storage
• Battery Materials
• +۳ مورد دیگر

Yanying Lu serves as Joint Assistant Professor in Clemson University's College of Engineering, Computing and Applied Sciences (CECAS), holding appointments in both the Department of Automotive Engineering and Department of Materials Science and Engineering since January 2025. Her research laboratory operates at the university's Greenville campus facility (4 Research Drive). Education: Ph.D. in Chemistry, Nankai University (2018) Postdoctoral Scholar, University of South Carolina & Lawrence Berkeley National Laboratory (2018-2022) Dr. Lu's research program centers on advancing materials engineering for energy storage applications, with particular expertise in ceramic engineering, composite materials development, and battery manufacturing processes. Her group investigates novel electrode architectures, solid electrolytes, and manufacturing techniques to enhance battery performance, safety, and scalability across multiple chemistries including lithium-ion, sodium-ion, and zinc-ion systems. Current focus areas include extreme fast-charging cathodes, dendrite-suppressing anodes, and flexible battery designs for wearable applications. Analysis of her publication record reveals consistent contributions to next-generation battery technologies, with recent emphasis on single-crystal cathode materials, solid-state systems, and industrial manufacturing processes. Her work bridges fundamental materials science with practical engineering challenges in battery production, showing strong industry relevance through multiple patent filings alongside academic publications. Scientific Awards: No awards documented in available materials. Advising & Grants: Information regarding current advisees or grant funding is not specified in provided materials. As a new faculty member leading an active research group, she is expected to mentor graduate students and pursue external research funding in energy storage technologies. Research Group: Dr. Lu directs a materials engineering laboratory focused on battery technology development, situated at Clemson's automotive research hub in Greenville, SC. The group emphasizes translational research with direct applications to electric vehicle batteries and grid-scale energy storage systems.

Kevin Lawsمشاهده پروفایل

دانشیار

• Bulk Metallic Glasses
• Amorphous Alloys
• Materials Science
• +۵ مورد دیگر

Associate Professor Kevin Laws is a materials scientist specializing in bulk metallic glasses and amorphous alloys at the School of Materials Science & Engineering, University of New South Wales (UNSW). His research focuses on the design, discovery, and development of magnesium- and aluminum-based metallic glasses for structural and functional applications, with expertise in die-casting, strip casting, and post-production processing of bulk metallic glasses. Professor Laws has held significant positions including Project Manager at the ARC Centre of Excellence for Design in Light Metals since 2009 and Postdoctoral Fellowship at UNSW since 2008. His research contributions are extensive, with over 30 refereed journal publications and approximately $100k in research funding since 2008. His work extends to international collaborations, having served as a Visiting Scientist at both the Swiss Federal Institute of Technology (ETH) in Zürich and the United States Air Force Research Laboratories. His primary research interests include bulk metallic glasses, amorphous alloys, magnesium and aluminum alloy development, composite materials, and advanced processing techniques. Professor Laws has made significant contributions to understanding the thermal and mechanical properties of metallic glasses, with applications spanning from structural components to functional devices. His recent work shows progression into high-entropy alloys, tungsten boride structures, and advanced characterization techniques while maintaining his core focus on metallic glasses. Professor Laws' publication record demonstrates a strong trajectory of research excellence, with consistent output of high-impact papers in leading materials science journals. His work shows increasing sophistication in both experimental techniques and computational modeling approaches, reflecting the evolving nature of materials science research. ARC Centre of Excellence Postdoctoral Research Fellowship (2007-) Invited Research Position at Swiss Federal Institute of Technology (2010) Invited Research Position at US Air Force Research Laboratory (2011) Member of Institute of Engineers, Australia (2003-) Member of Society of Automotive Engineers-International (2001-) Professor Laws has co-supervised 10 honors and 6 PhD students in the past 4 years, demonstrating his commitment to education and mentorship. He serves as course coordinator for Welding and Joining Processes and contributes as a guest lecturer for polymer engineering and demonstrator for foundry casting, rolling, and mechanical testing. His teaching responsibilities complement his research activities, creating a synergistic relationship between education and discovery. His research is conducted within the School of Materials Science & Engineering at UNSW, where he collaborates with colleagues on projects related to advanced materials development and characterization. The school provides state-of-the-art facilities for materials processing and characterization, enabling Professor Laws to pursue his research on metallic glasses and related materials.

Carl-Johan Carlhällمشاهده پروفایل

استاد

• Cardiovascular Medicine
• Medical Imaging Science
• Cardiac Hemodynamics
• +۴ مورد دیگر

Carl-Johan Carlhäll serves as Professor and Head of Department of Cardiovascular Medicine at Linköping University's Department of Health, Medicine and Care within the Medical Faculty. His institutional affiliations include the Department of Diagnostics and Specialist Medicine (DISP) and the Cardiovascular Sciences Unit (KAV), where he leads the interdisciplinary Cardiovascular Imaging and Modeling (CIM) research cluster focused on advancing understanding of the cardiovascular system through novel imaging-based methods. Professor Carlhäll's research spans cardiovascular imaging science with particular emphasis on 4D flow MRI techniques, cardiac hemodynamics, and AI applications in medical image analysis. His work bridges engineering methodologies from automotive industries with clinical cardiology to simulate heart function and analyze blood flow dynamics. The research cluster he leads develops and applies new imaging-based methods for assessing cardiac function, hemodynamics, and tissue characterization in both health and disease states. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with cardiovascular magnetic resonance imaging, particularly in segmentation of cardiac structures, analysis of blood flow turbulence, and assessment of tissue characteristics. His work increasingly focuses on computational modeling of cardiac function and hemodynamics, with applications in valvular heart disease, atrial fibrillation, and metabolic conditions like type 2 diabetes. Scientific recognition includes: 9.3 million SEK project grant from the Swedish Heart and Lung Foundation (2020) Development of lightning-fast cardiac examination methods using CT scanner images to simulate individual patient heart function Professor Carlhäll's research group has secured significant funding for heart and lung research, developing innovative approaches that translate engineering methods to clinical cardiology. His team collaborates extensively within the Center for Medical Image Science and Visualization (CMIV), leveraging interdisciplinary expertise to advance cardiovascular diagnostics and treatment planning through sophisticated imaging and modeling techniques. The Cardiovascular Imaging and Modeling (CIM) research cluster under his leadership represents a significant interdisciplinary effort at Linköping University, bringing together medical, engineering, and computational expertise to solve complex problems in cardiovascular medicine through advanced imaging technologies and computational modeling approaches.

Kevin Curranمشاهده پروفایل

استاد

• Cyber Security
• Computer Security
• Internet Security
• +۶ مورد دیگر

Kevin Curran is a Professor of Cyber Security at Ulster University, serving as Executive Co-Director of the Legal Innovation Centre and group leader for the Cybersecurity & Web technologies Research Group. He joined the School of Computing and Intelligent Systems in 1999 and has established himself as a leading expert in cyber security with over 800 published works. His academic home is within the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. Professor Curran's research interests span multiple domains within cyber security, with particular expertise in location positioning within indoor environments, Internet security, and the intersection of legal technology with cybersecurity. His recent work demonstrates a strategic expansion into AI-driven security solutions, blockchain applications, and IoT security frameworks. His research shows a clear evolution from foundational networking research to contemporary applications addressing legal technology challenges and emerging security threats in connected environments. His scholarly output reveals significant trends toward interdisciplinary research, particularly at the intersection of cyber security and legal technology. Recent publications focus on applying machine learning and AI techniques to legal document classification, blockchain security for autonomous vehicles, and generative AI applications in cyber defense. His work consistently addresses practical security challenges while maintaining strong theoretical foundations. Engineering and Technology Board Visiting Lectureship for Exceptional Engineers IEEE Technical Expert for Internet/Security matters since 2008 Member of the EPSRC Peer Review College Recipient of various patents in security technologies Founding Editor in Chief of the International Journal of Ambient Computing and Intelligence Professor Curran has successfully secured and managed numerous UK and European Framework projects and Technology Transfer Schemes throughout his career. He serves as Co-Investigator on several major research projects including the Baker McKenzie Research Project (2017-2026), LFR: Legal Futures Research (2016-2026), and the Ulster Centre for Legal Innovation (2016-2026). His research group actively collaborates with industry partners and legal professionals to address real-world cybersecurity challenges. The Cybersecurity & Web technologies Research Group under his leadership focuses on practical security solutions while maintaining strong theoretical foundations. As Executive Co-Director of the Legal Innovation Centre, Professor Curran bridges the gap between legal practice and technological innovation, particularly in the realm of cybersecurity applications for legal services. His team works on developing secure platforms for legal document processing, blockchain applications for contract management, and AI-driven tools for legal professionals while maintaining rigorous security standards.

• Wave Energy Conversion
• Control Engineering
• Mechanical Systems
• +۴ مورد دیگر

Fabio Carapellese is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. His research focuses on wave energy conversion systems, control engineering, and mechanical systems design. He is affiliated with multiple academic colleges at Politecnico di Torino: College of Chemical and Materials Engineering (as an Invited member) College of Management and Production Engineering (as an Invited member) College of Mechanical, Aerospace and Automotive Engineering (as a Member) Dr. Carapellese's research spans wave energy conversion, control systems, and mechanical engineering with applications in renewable energy. His work emphasizes: Design and optimization of wave energy converters including the SWINGO system Control systems for wave energy conversion with focus on anti-windup mechanisms and state constraints Multi-objective optimization of inertial wave energy converters Modeling of mechanical interactions in wave energy systems Integration of pendulum and gyroscopic effects for enhanced energy extraction His recent publications (2023-2025) demonstrate a consistent focus on advancing wave energy conversion technology through innovative mechanical designs and sophisticated control strategies. The research shows progression from theoretical modeling to experimental validation of wave energy systems, with particular attention to practical implementation challenges. Dr. Carapellese has contributed to several patents related to renewable energy technology, including: "Multifunctional gyropendulum and integrated WEC for wave energy production" (National and international patent) "Electricity generator" (National patent) As an educator, he serves as a Course Collaborator for multiple engineering courses at Politecnico di Torino, including Project Work in Manufacturing Technologies and Machine Mechanics in Materials Engineering, demonstrating his commitment to training the next generation of engineers in sustainable energy technologies.

• Wave Energy Conversion
• Control Systems Engineering
• Mechatronics
• +۱۱ مورد دیگر

Nicolas Ezequiel Faedo is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. He holds the scientific disciplinary sector IIND-02/A - Mechanics applied to machines under Area 0009 (Industrial and information engineering). Teaching: Course instructor for System identification and optimal control of wave energy conversion systems in PhD and Master's programs. Research: Focuses on wave energy conversion, control systems, and hybrid renewable energy systems. Principal investigator for the ECOWAVE project (2025-2028) under PNRR. Advising: Supervises PhD candidates Maria Luisa Celesti and Guglielmo Papini . Collaborates with the Mechatronics and servo systems research group. Publications: His recent work explores wave energy control algorithms, hybrid systems, and AI-based optimization. Trends include surrogate modeling, power absorption, and tidal/wind-wave integration.

Valentin Soloiuمشاهده پروفایل

استاد

• Renewable Energy
• Biofuels
• Advanced Combustion Technologies
• +۷ مورد دیگر

Dr. Valentin Soloiu is the Allen E. Paulson Distinguished Chair of Renewable Energy and Professor in the Department of Mechanical Engineering at Georgia Southern University, where he supervises the Renewable Energy, Combustion, Aerospace, Automotive, and Intelligent Vehicles Laboratories . Expert in advanced combustion technologies for biofuels and synthetic aviation fuels Research focus on heat transfer, emissions control, spray dynamics, and intelligent vehicle systems Research Interests span from first/second generation biofuels to smart engine control strategies and engine tribology . His work employs reactivity-controlled compression ignition (RCCI) and partially premixed combustion for NOx and PM reduction . Recent publications analyze synthetic kerosene (S8) , HEFA fuels , and alternative aviation fuels in combustion chambers. His awards include multiple NSF grants , EPA-P3 Prize , and recognition as Distinguished Associate of ASME Engine Division . Editorial roles: 18 journal/conference reviewer positions Leadership: Councilor of Council of Undergraduate Research (CUR) Labs mentor 15+ graduate students and 30+ undergraduates annually in energy research projects that have won 40+ national awards over the past decade.