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نمایش ۴۶-۶۰ از ۶۱ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Thomas Robertمشاهده پروفایل

دانشیار

Télécom ParisFrance

Thomas Robert is an Associate Professor at Télécom Paris, actively contributing to the AUTONOMOUS CRITICAL EMBEDDED SYSTEMS (ACES) research team under the INFORMATION PROCESSING AND COMMUNICATION LABORATORY (LTCI) . His research spans real-time systems, distributed computing, fault tolerance, and security policy modeling. Research Trends: Recent publications focus on software supply chain security (2025), intrusion detection mechanisms (2024), and mixed-criticality scheduling frameworks like RUN (2015). Earlier works include AADL-based fault tolerance (2010) and real-time error detection (2008). Teaching: Offers courses in programming, operating systems, fault tolerance, and embedded systems at Télécom ParisTech (engineering cycle) and Master 2 programs (SAR, SETI, COMASIC). Collaborations: Works with Laurent Pautet, Jean Leneutre, and colleagues on real-time scheduling and security projects. Tools: Develops PRISM models for system reliability analysis and contributes to fault tolerance practical works.

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Hazem Torfahمشاهده پروفایل

استادیار

Chalmers University of TechnologySweden

Hazem Torfah is a tenure-track Assistant Professor at the Computer Science and Engineering Department at Chalmers University of Technology, where he leads the Safe and Trustworthy Autonomous Reasoning lab (STARlab). Previously, he was a postdoctoral researcher in the EECS Department at UC Berkeley, USA, and obtained his Ph.D. in 2019 from Saarland University, Germany. His research focuses on developing theoretical foundations and techniques for constructing safe and reliable autonomous cyber-physical systems. Hazem earned his Ph.D. from Saarland University in 2019, followed by postdoctoral research at UC Berkeley. His educational background has positioned him at the forefront of formal methods research for autonomous systems. His research interests center on the formal specification, verification, and synthesis of cyber-physical systems, with a particular focus on quantitative approaches for verifying and explaining system behavior. He investigates methods to ensure safety and reliability in autonomous systems through runtime monitoring, specification mining, and assurance frameworks. His work bridges theoretical computer science with practical applications in autonomous driving and robotics. An analysis of his recent publications reveals a strong focus on runtime monitoring techniques for operational design domains, specification mining for predictive safety, and frameworks for runtime assurance of cyber-physical systems. His work frequently combines formal methods with machine learning to address safety challenges in autonomous systems, with applications primarily in autonomous driving. Hazem's research is funded by the Wallenberg AI, Autonomous Systems, and Software Program, reflecting the significance and potential impact of his work in the field of assured autonomy. He has supervised several Master's students, including Samuel Collier Ryder and Johannes Holmgren (2025), and Lucas Karlsson and George Kayembe (2024). His teaching includes courses on Formal Methods for Security, Oracle-Guided Inductive Synthesis, and Data Structures and Algorithms. As the leader of STARlab, Hazem directs research on safe and trustworthy autonomous reasoning, focusing on developing methods to ensure the reliability and explainability of autonomous cyber-physical systems through formal verification techniques.

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Saied Taheriمشاهده پروفایل

استاد

Virginia Polytechnic Institute and State UniversityUnited States

Saied Taheri is a Professor of Mechanical Engineering at Virginia Tech's College of Engineering and Director of the Center for Tire Research (CenTiRe). He holds the John Jones Faculty Fellowship and is a member of the Society of Distinguished Alumni. His expertise spans tire dynamics, vehicle control systems, and robotics, with a focus on developing intelligent tire technologies and rail-related applications. Education: Ph.D. in Mechanical Engineering, Clemson University, 1990 M.S. in Mechanical Engineering, Clemson University, 1986 B.S. in Mechanical Engineering, Clemson University, 1984 Research Interests: Dr. Taheri's work integrates advanced modeling, sensor systems, and control algorithms to enhance vehicle safety and performance. Key areas include: - Tire-vehicle dynamic modeling and simulation - Smart tire development with embedded sensors - Vehicle chassis control systems - Railroad engineering and rail defect detection - Robotics and autonomous vehicle systems Publications: His research focuses on tire physics, sensor integration, and systems control. Recent work explores intelligent tire applications in autonomous vehicles, hydroplaning risk prediction, and rail infrastructure monitoring. Over 60 peer-reviewed articles demonstrate contributions to automotive and mechanical engineering. Awards & Fellowships: John Jones Faculty Fellowship, Virginia Tech Member, Society of Distinguished Alumni Advising & Labs: Leads the Center for Tire Research (CenTiRe), a hub for industry-academia collaboration. Active in graduate student mentorship and grants focused on smart materials and sensor technologies. Current projects include NSF-funded studies on non-pneumatic tires and real-time road condition sensing systems.

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Levi Perigoمشاهده پروفایل

استاد پژوهش

University of ColoradoUnited States

Dr. Levi Perigo is a Research Professor and Scholar in Residence at the University of Colorado Boulder's Department of Computer Science. He also serves as Co-Director of the Professional Master's Program in Network Engineering. Previously, he worked as a Senior Network Engineer at ADTRAN Inc. and contributed to SDN and OpenFlow standardization at the Open Networking Foundation. His academic roles include teaching and mentoring students through hands-on network engineering projects. Dr. Perigo holds an MS in Information and Communication Sciences from Ball State University and a PhD in Information Systems from Nova Southeastern University. His research focuses on network automation, SDN/NFV implementation, and energy-efficient networking. He currently advises the MEF Research Council on SDN/NFV advancements. His research interests span internetworking technologies including VoIP security, IPv6, next-generation protocols, and network design. He explores practical applications of SDN in real-world scenarios, emphasizing automation and performance optimization. Recent work includes strategic APT detection models, green power forwarding, and VoIP framework development. Outside academia, Dr. Perigo actively participates in outdoor activities like cycling, rock climbing, and trail running. His professional certifications in networking technologies reflect his commitment to staying current in emerging standards.

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Tae Min Hongمشاهده پروفایل

دانشیار

University of PittsburghUnited States

Tae Min Hong is an Associate Professor of Physics and Astronomy at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. His research focuses on experimental particle physics, particularly using the Large Hadron Collider (LHC) at CERN. He is a key member of the ATLAS Collaboration, contributing to Higgs boson studies and searches for new physics such as dark matter and supersymmetric particles. His work includes developing machine learning techniques for real-time data processing on FPGAs and advancing trigger systems for high-energy physics experiments. Education: AB in Physics and Mathematics from Harvard University, MA and PhD in Physics from UC Santa Barbara. Postdoctoral research at the University of Pennsylvania before joining Pitt in 2015. Collaborates with faculty on the ATLAS experiment's Tier-3 computing center in Allen Hall. Research interests include Higgs boson decay mechanisms (e.g., H→WW), vector boson fusion processes, and leveraging machine learning for particle detection. His lab employs undergraduates in projects like firmware engineering, trigger rate monitoring, and machine learning R&D. Students have won awards such as NASA Space Grant and Chancellor's Fellowship. Publications span over 800 refereed articles, with recent work on Higgs CP properties, invisible decays, and FPGA-based decision trees. He teaches courses like Undergraduate Particle Physics and Honors E&M, emphasizing hands-on learning and feedback.

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Nick Feamsterمشاهده پروفایل

استاد

University of ChicagoUnited States

Nick Feamster is the Neubauer Professor of Computer Science at the University of Chicago and Director of Research at the Data Science Institute. He previously held full professorships at Princeton University and Georgia Tech, directing the Center for Information Technology Policy and the School of Computer Science, respectively. His research focuses on network performance, security, privacy, and equitable internet access, with applications in AI-driven systems, human-computer interaction, and policy. Key roles include leading the Network Operations and Internet Security (NOISE) Lab and co-founding the Internet Equity Initiative. Feamster holds a Ph.D. and S.B./M.Eng. from MIT (Computer Science/Electrical Engineering). Notable recognitions include the ACM Fellowship, Presidential Early Career Award (PECASE), and multiple best-paper awards. His work bridges academia and policy, collaborating with entities like the FCC and City of Chicago. The NOISE Lab develops data-driven systems for network traffic analysis, addressing human behavior insights and security challenges. Recent projects include deploying Netrics for community internet testing and analyzing encrypted DNS protocols. Feamster’s research spans machine learning for network traffic analysis, censorship circumvention (e.g., Infranet), and software-defined networking (SDN). His lab emphasizes real-world impact through open-source tools like NetML and nPrint. Personal interests include marathon running, completing iconic races like Comrades Marathon in South Africa.

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Michael Mossمشاهده پروفایل

استادیار

Berklee College of MusicUnited States

Michael Moss is an Assistant Professor in the Department of Electronic Production and Design (EPD) at Berklee College of Music. He holds advanced degrees in Jazz Performance from the New England Conservatory of Music and brings decades of professional experience in music production, performance, and sound design for education, advertising, and media. Master of Music, Jazz Performance – New England Conservatory (1984) Bachelor of Music, Jazz Performance – New England Conservatory (1981) His research and creative interests span music technology, audio engineering, MIDI, sound design for educational and industrial applications, audiobook scoring, and jazz performance . He emphasizes real-world skills in his teaching, drawing directly from his work at Soundscape Productions, his studio in Boston. His creative output includes over 130 audiobook scores, work for major clients like Coca-Cola, Gillette, Warner Bros., and National Public Radio, and performances with legends such as Aretha Franklin and Cab Calloway. His work blends technical precision with artistic expression. Notable honors include: Audie Award Oppenheim Platinum Certificate Three Grammy Award nominations Moss actively mentors students, often hiring Berklee graduates into his studio. He runs an associate engineer program each summer, integrating students into professional workflows. He has secured contracts and grants through client work with major publishers and corporations, though specific grant titles are not listed. He is the founder and owner of Soundscape Productions , a Boston-based studio serving education, medical, and technology sectors. The studio functions as both a creative hub and a training ground for emerging audio engineers.

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Antonio Krügerمشاهده پروفایل

استاد

Saarland UniversityGermany

Prof. Dr. Antonio Krüger is the CEO of the German Research Center for Artificial Intelligence (DFKI) and Director of the Ubiquitous Media Technology Lab (UMTL) at the Saarland Informatics Campus in Saarbrücken, Germany. He is a leading researcher in human-computer interaction, virtual and augmented reality, multimodal interfaces, and intelligent systems. His research interests span a broad range of topics including virtual reality (VR), augmented reality (AR), gesture interaction, haptic feedback, EEG and eye tracking, gamification, cognitive load estimation, brain-computer interfaces, and smart environments. His work emphasizes user-centered design, perceptual illusions, and real-world applications in domains such as automotive, healthcare, and education. His recent publications (2023–2024) demonstrate a strong focus on advancing VR interaction through techniques like hand redirection, synthetic gesture generation for vehicles, implicit intent recognition using multimodal sensing, and personalized object referencing. These works reflect trends toward seamless, natural, and adaptive interfaces that leverage AI, perception, and real-time feedback. Prof. Krüger supervises a large team of researchers and students, including Mansi Sharma, Amr Gomaa, André Zenner, and Martin Feick, indicating active mentorship and collaborative research leadership. His lab, UMTL, develops innovative technologies in immersive environments, wearable systems, and intelligent user assistance, contributing to both academic knowledge and practical applications.

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Roberto Iuppaمشاهده پروفایل

دانشیار

University of TrentoItaly

Roberto Iuppa is an Associate Professor at the Department of Physics, University of Trento. His research focuses on particle physics, astroparticle physics, and high-energy collider experiments, with significant contributions to the ATLAS experiment at CERN's LHC. He leads studies on Higgs boson physics, dark matter candidates, and quantum chromodynamics phenomena. His work includes developing detectors like the High-Energy Particle Detector (HEPD) for space-based missions such as CSES-02, and analyzing gravitational wave astronomy via multimessenger observations. Academic roles include teaching advanced courses on particle physics, gravitational wave astronomy, and the interdisciplinary history of physics and mathematics. His experimental work emphasizes precision measurements in top quark interactions, vector boson scattering, and searches for beyond-Standard-Model particles such as vector-like leptons and magnetic monopoles. Recent projects involve analyzing 13 TeV proton-proton collision data from the LHC and advancing detector technologies for future high-luminosity runs. Key research areas: Collider physics, detector development, dark matter, and space-based astrophysics Lead responsibilities: ATLAS collaboration physics analysis, HEPD satellite instrumentation Notable contributions: Over 50 peer-reviewed articles in 2024-2025 alone, focusing on precision Higgs measurements and new physics searches His teaching integrates computational methods with physics fundamentals, preparing students for interdisciplinary work in machine learning for data analysis and quantum computing applications in physics simulations.

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Miroslav Nikolov Galabovمشاهده پروفایل

استاد

St. Cyril and St. Methodius University of Veliko TarnovoBulgaria

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

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Apostol Slavchevمشاهده پروفایل

استاد

National Sports Academy Vasil LevskiBulgaria

Professor Apostol Slavchev serves as Vice-Rector for Academic Affairs at the Vasil Levski National Sports Academy, where he holds a professorship in the Department of Athletics within the Faculty of Pedagogy. With over four decades of academic service, he has held leadership roles including Dean of the Faculty of Education (2008-2016) and membership on the Academic Council since 2007, demonstrating sustained institutional commitment to advancing sports education and athletic training methodologies. His academic foundation includes doctoral studies completed in 1998 with a dissertation on 400m hurdle training optimization, complemented by medical education at Sofia's G. Dimitrov State Medical University (1978-1982). His scholarly journey reflects a unique integration of medical science with athletic specialization: Doctorate in Sports Training Methodology (1998) Medical University Studies (1978-1982) Polytechnic High School Diploma (1972-1976) Slavchev's research spans sprint and hurdle training mechanics , athletics officiating systems , and inclusive athletic programming for diverse populations including children and Special Olympics participants. His work bridges theoretical sports science with practical coaching applications, particularly in developing technical proficiency in short-distance events through biomechanically-informed training protocols. The integration of mathematical modeling in sports ranking systems demonstrates his interdisciplinary approach to athletic administration. His 150+ publications reveal consistent focus on athletics pedagogy and technical officiating , with recent works emphasizing digital educational tools and longitudinal performance analysis. The trajectory shows evolving specialization from foundational coaching manuals toward sophisticated biomechanical analysis and institutional management systems, reflecting both deepening expertise and expanding administrative responsibilities. As an academic advisor, Slavchev has supervised four doctoral candidates to successful dissertation completion, with research concentrated in athletic training methodology. His institutional roles include directing postgraduate training for coaches and serving on the editorial board of the "Athletics & Science" journal, demonstrating commitment to knowledge dissemination. Slavchev founded and chairs the KLASA athletics club at the National Sports Academy while leading the Bulgarian Athletics Federation's judges committee since 2004. His practical coaching legacy includes developing over 100 athletes, with multiple national champions in hurdle events, demonstrating effective translation of academic research into competitive success.

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Mary Harringtonمشاهده پروفایل

استاد

Smith CollegeUnited States

Mary Harrington is the Tippit Professor in the Life Sciences (Neuroscience) at Smith College, where her research group investigates how circadian clocks are altered by aging, exercise, and environmental lighting, and how these changes impact neurodegenerative processes such as Alzheimer’s disease. She teaches neuroanatomy, sensory systems, and experimental neuroscience while actively mentoring undergraduates who frequently co-author peer-reviewed publications. Education Ph.D., Dalhousie University M.A., University of Toronto B.Sc., Pennsylvania State University Research Focus Professor Harrington’s laboratory employs genetic mouse models, bioluminescence imaging, behavioral assays, and molecular techniques to dissect the neural and molecular mechanisms governing circadian rhythms. A major theme is understanding how aging weakens the precision of circadian clocks and how voluntary exercise can restore robust rhythmicity. Recent work explores how dim light at night disrupts internal synchrony among brain and peripheral clocks, leading to cognitive and metabolic dysfunction. Across 2020–2023, her team has published extensively on (1) circadian regulation of the neurovascular unit during aging, (2) the biological basis of fatigue, (3) clinical chronobiology tools, (4) cell-type-specific clock gene reporters in vivo, and (5) the impact of evening light on memory consolidation. Laboratory and Mentorship The Harrington Lab—located in Sabin-Reed Hall—integrates undergraduate researchers into every phase of inquiry, from animal handling and stereotaxic surgery to data analysis and scientific writing. This apprenticeship model has produced numerous student co-authors and contributes to Smith’s reputation for excellence in neuroscience education.

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Scott Uhlrichمشاهده پروفایل

استادیار

University of UtahUnited States

Scott Uhlrich is an Assistant Professor in the Department of Mechanical Engineering at the University of Utah. His research focuses on improving human mobility across the lifespan using scalable digital health technologies. He leverages computational biomechanics, machine learning, mobile sensing, and imaging to address orthopaedic conditions, neurological disorders, and age-related mobility challenges. Develops open-source software for large-scale human movement analysis via smartphone video Investigates pathological mechanics of osteoarthritis and designs interventions His recent work emphasizes markerless motion capture, real-time biofeedback, and biomechanical modeling of joint degeneration. While no scientific awards are listed, his publications highlight collaborations between engineering and clinical research. Scott supports the RMCOEH Ergonomics and Safety program and engages in outreach through digital health initiatives and community education.

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Domenico Bianculliمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Domenico Bianculli is an Associate Professor and Chief Scientist 2 at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. He leads the Software Verification and Validation (SVV) research group and is affiliated with the Department of Computer Science in the Faculty of Science, Technology and Medicine (FSTM). Additionally, he serves as the deputy study program director for the Master in Space Technologies and Business. Dr. Bianculli earned his PhD from the University of Lugano (Switzerland) under Carlo Ghezzi, with a dissertation titled "Open-world software: Specification, Verification, and Beyond." He also holds a MSc in Computing Systems Engineering and a BSc in Computer Engineering from Politecnico di Milano (Italy). His research focuses on the specification, verification and validation of software systems, particularly evolvable software systems. His work spans trace checking and run-time verification of temporal properties, modeling access control policies, program analysis for security, incremental verification techniques, and verification of service-oriented systems. Dr. Bianculli bridges theoretical foundations with practical applications in cyber-physical systems, financial technology, and regulatory compliance. His recent publications reveal a strong trend toward applying machine learning to software engineering challenges, particularly in log analysis, anomaly detection, and automated compliance checking. He has made significant contributions to verifying cyber-physical systems through techniques for stress testing control loops and trace diagnostics for signal-based temporal properties. His work increasingly addresses financial technology challenges, with papers focusing on automated regulatory compliance related to GDPR and financial regulations. ACM SIGSOFT Distinguished Paper Award for "Efficient large-scale trace checking using MapReduce" (ICSE 2016) Nomination for the best paper award for "SMT-based checking of SOLOIST over sparse traces" (FASE 2014) Dr. Bianculli leads multiple significant research projects including KITS24/19067232 "SnT-R2S" funded by FNR Luxembourg, LOGODOR "Automated Log Smell Detection and Removal" funded by FNR's CORE scheme, and several financial regulation projects including AFRICA, ICCOFIDO, and RUMOFA. His research has been supported by national funding agencies and industry partnerships with CSSF Luxembourg, HITEC Luxembourg, BGL BNP Paribas, and LuxSpace. As head of the SVV research group at SnT, Dr. Bianculli oversees a team developing advanced techniques for software specification, verification, and validation. His group works on theoretical foundations and practical applications, with current projects addressing challenges in cyber-physical systems, financial technology, and regulatory compliance. The group maintains strong collaborations with industry partners in the financial sector and space technology domains.

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Jonathan Chevrierمشاهده پروفایل

دانشیار

Laval UniversityCanada

Jonathan Chevrier is an Associate Professor in the Department of Physical Education at Université Laval's Faculty of Education (FSÉ). He is actively engaged in research, teaching, and academic leadership within the field of physical education, with a specialized focus on digital technology integration. His office is located in the Physical Education and Sports Building, Room 2182 in Quebec City. Professor Chevrier earned his educational credentials from the University of Sherbrooke, including a Doctorate in Education (2021), Master's degree in Kinesiology (2012), and Bachelor's degree in Kinesiology (2009). His academic journey has been focused on educational intervention in physical activity and sports coaching. His primary research interests center on sports didactics and the integration of digital technology in physical education. He directs LUNEPS (Laboratory on the Use of Digital Technology in Physical Education and Sport), where he investigates how digital tools, virtual reality, and augmented games can transform teaching and learning in physical education contexts. His work addresses both practical applications and ethical considerations of technology use in educational settings. Professor Chevrier's recent publications (2022-2024) demonstrate a clear trend toward examining digital transformation in physical education, screen time effects on child development, assessment practices, and physical activity interventions. His research often bridges theoretical frameworks with practical classroom applications, particularly in the context of pandemic-related educational challenges and the evolving digital landscape in education. His notable achievements include: SSHRC Partnership Engagement Grant (2022) for research on immersive learning environments in physical education Promotion to Associate Professor (Agrégation), recognizing his academic excellence Multiple publications in professional journals on digital technology in physical education Numerous conference presentations at international venues Professor Chevrier actively supervises student research through LUNEPS and collaborates with the Kino Québec Research Chair at the University of Sherbrooke. His current research projects focus on virtual reality applications in teacher training and immersive learning environments in physical education classes. He teaches undergraduate courses in exercise physiology, physical development, and teaching responsibility, along with a graduate course on digital pedagogical practices. Through LUNEPS, he supports students and teachers in exploring digital technology applications in physical education, emphasizing both practical implementation and ethical considerations. His collaborative approach involves working with various stakeholders to promote digital transformation in physical education and sport while fostering digital skill development among educators and learners.

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