جستجوی استاد راهنمای دانشگاهی

• Software Engineering
• Green Software Development
• Sustainable Computing
• +۶ مورد دیگر

Félix García is a prominent professor at the University of Castilla-La Mancha in Ciudad Real, Spain, with extensive contributions to software engineering, sustainable computing, and business process management. His research spans over two decades with 187 publications indexed in dblp, demonstrating consistent scholarly productivity and leadership in multiple research areas. Dr. García's research interests focus on critical contemporary challenges in software development, particularly green software engineering, energy efficiency in computing systems, and sustainable software development practices. His work bridges theoretical foundations with practical applications, addressing how software design, implementation, and maintenance impact environmental sustainability. He has pioneered research connecting software quality attributes with energy consumption, examining how design patterns, code smells, and refactoring techniques affect resource usage. His recent publications (2023-2025) reveal a strong focus on cutting-edge topics including Green AI, quantum computing sustainability, and energy-aware programming language design. These works demonstrate his ability to anticipate and address emerging challenges at the intersection of software engineering and environmental sustainability. Dr. García has received significant recognition through numerous collaborations, particularly with Mario Piattini (133 co-authored papers), Francisco Ruiz (63 papers), and María Ángeles Moraga (30 papers), establishing him as a central figure in his research community. His work has appeared in prestigious venues including IEEE Transactions on Software Engineering, Journal of Systems and Software, and ACM Computing Surveys. He has mentored numerous researchers who have become established scholars in their own right, including Javier Mancebo, Laura Sánchez-González, and César Jesús Pardo Calvache. His contributions to gamification in software engineering education through serious games like GLOBAL-MANAGER demonstrate his commitment to innovative teaching approaches.

• Software Engineering
• Workflow Management Systems
• Image Analysis
• +۲ مورد دیگر

Michał Turek is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary workplace is located in room 303a of building C-2, and he maintains active contact through email (mitu@agh.edu.pl) and phone (+48 12 617 52 03), indicating current academic engagement. His research spans Software Engineering with particular emphasis on Workflow Management Systems integration with industrial applications, Image Analysis for 3D surface inspection, and Agile Methodologies implementation. Turek has pioneered innovations in Scrum adaptation for multi-project environments and software product lines, while developing formal verification frameworks for business processes and service-oriented architectures. His work bridges theoretical computer science with practical industrial solutions, especially in automated damage identification systems and workflow optimization. Analysis of his 15 most recent publications reveals consistent focus on workflow system intelligence (2020-2022), with significant contributions to automatic correction mechanisms and smart procedure integration. Earlier works (2010-2016) demonstrate deep expertise in formal verification methods, Scrum economics, and 3D surface analysis techniques. The publications show interdisciplinary convergence between software engineering, computer vision, and industrial automation, with recurring themes of system resilience and process optimization across both English and Polish scholarly outputs.

• Computer and networked systems security
• Systems security and privacy
• Trusted execution environments
• +۶ مورد دیگر

Nuno Santos is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), University of Lisbon, and a senior researcher at INESC-ID Lisbon, where he leads the SysSec team within the Distributed, Parallel and Secure Systems (DPSS) group. He is an active member of the international security community, serving as Program Vice Co-Chair for USENIX Security 2025 and on program committees for top venues such as IEEE S&P, CCS, and USENIX Security. Education: Ph.D. in Computer Science, 2013 – Max Planck Institute for Software Systems (MPI-SWS) & Saarland University Research internships at Microsoft Research Redmond (2010), Vrije Universiteit Amsterdam (2018), and Technical University of Munich (2024) Research Interests Nuno Santos’s research centers on the security and privacy of computer and networked systems, with particular emphasis on trusted execution environments, secure systems design, and the intersection of machine learning with security. His group investigates vulnerabilities and defenses in widely deployed platforms, including TrustZone, JavaScript runtimes, and cloud infrastructures. Additional themes include censorship-resistant communication, privacy-preserving analytics, and automated exploit generation. Recent Publication Trends Over the past five years, his work has increasingly targeted emerging threat models in confidential computing (AMD SEV-SNP, Intel TDX), large-language-model integration into web applications, and automated security analysis of JavaScript ecosystems. These publications consistently appear in the most selective venues (PLDI, SIGMETRICS, ICSE, NDSS, S&P, USENIX Security), evidencing strong empirical evaluation and real-world impact. Awards & Honors IST Outstanding Teaching Award (2019/2020) ISOC.PT Best Portuguese Internet Research Award (2024) Prémio Científico Universidade de Lisboa / Caixa Geral de Depósitos (2024) Multiple IST Teaching Excellence Awards Advising & Service Nuno Santos has supervised numerous MSc and PhD students whose theses span secure systems, network privacy, and trustworthy computing. Recent defenses include Bernardo Ribeiro, Cristi Savin, Hugo Mantinhas, João Aragonez, João Sá, and Tomás Tavares. He actively participates in doctoral committees and mentors junior researchers within the DPSS group. Labs, Teams & Collaborations He leads the SysSec team inside the Distributed, Parallel and Secure Systems (DPSS) group at INESC-ID Lisbon. The team maintains strong collaborative ties with MPI-SWS, VUSec at VU Amsterdam, the Systems Research Group at TU Munich, and multiple industry partners including Microsoft Research.

Kamesh Namuduriمشاهده پروفایل

استاد

• Autonomous Systems
• UAV Networks and Communications
• Cooperative Control
• +۷ مورد دیگر

Kamesh Namuduri is a Professor in the Department of Electrical Engineering at the University of North Texas. He leads the Autonomous Systems Laboratory (ASL), focusing on cooperative decentralized systems, UAV networks, and advanced air mobility solutions. Key Research Areas: Autonomous Systems UAV Networks and Communications Collision Avoidance Strategies Disaster Recovery Applications Digital Twin Airspace Management Recent work examines advanced air mobility through vehicle-to-vehicle communication frameworks, wireless localization challenges, and air corridor traffic control. The ASL investigates mobility, security, and cooperative control in airborne networks with applications to surveillance, planetary exploration, and emergency response. Laboratory Facilities: The Autonomous Systems Laboratory supports research in robotic systems, wireless sensor networks, and decentralized consensus-building algorithms.

• Software Engineering
• Smart Cities
• Internet of Things
• +۴ مورد دیگر

Siobhán Clarke is a Professor at the School of Computer Science and Statistics, Trinity College Dublin, specializing in software systems for smart urban environments . Her work addresses dynamic software adaptation in large-scale, mobile IoT ecosystems , with a focus on QoS optimization and collaborative agent models . Director, Enable : National SFI IoT Research Programme Director, Future Cities Centre for Smart & Sustainable Cities Co-Lead, ADVANCE : SFI Centre for Advanced Networks Co-PI, CONNECT (Future Networks) and Lero (Software Research) Her research spans smart city infrastructure , edge computing , and multi-agent coordination , informed by 15+ years of publications on service-oriented architectures , QoS prediction , and self-adaptive systems . Key project contributions include DIVERSIFY (2016) and TRANSFoRm (2015). Scientific awards include election to the Royal Irish Academy (2023) and a Best Student Paper at IEEE ICWS 2011. She has supervised 20+ PhD/MSc students, including Fan Li (2020: SLA Negotiation Systems), Gary White (2020: IoT QoS Forecasting), and Andrei Palade (2019: Stigmergic Optimization).

Noah Lindenمشاهده پروفایل

استاد

• Quantum Information Theory
• Mathematical Physics
• Quantum Computing
• +۳ مورد دیگر

Professor Noah Linden is a faculty member in the School of Mathematics at the University of Bristol , holding the title of Professor of Theoretical Physics. His research focuses on Quantum Information Theory , Mathematical Physics , and related areas in quantum computing and thermodynamics. He has contributed to 105 research outputs and leads projects such as Reliable and Robust Quantum Computing and Compilation and Verification of Quantum Software . Key research themes include quantum scrambling, entanglement dynamics, and applications in biophysics. His work has been cited in studies on quantum dots, qubit manipulation, and nonlocality limits. He has also contributed datasets on exciton dynamics in purple bacteria and collaborated on projects analyzing decoherence and disorder effects in photosynthetic systems. Professor Linden serves as an editor for the Journal of Physics A: Mathematical and General and maintains active collaborations across quantum information, quantum computing, and interdisciplinary physics. His research output includes foundational studies on quantum error correction, measurement theory, and computational advantages.

Sergio Montenegroمشاهده پروفایل

استاد

• Aerospace Information Technology
• Dependable Computing
• Distributed Systems
• +۶ مورد دیگر

Prof. Dr.-Ing. Sergio Montenegro is a Professor of Aerospace Information Technology at Julius-Maximilians-University Würzburg, where he leads the Chair of Computer Science VIII. His academic journey includes a Bachelor's in Computer Science from Universidad del Valle de Guatemala (1978-1982), a Diploma from Technische Universität Berlin (1983-1985), and a Dr.-Ing. from TU Berlin (1989). Prior to joining academia, he held positions as a software developer (1979-1982), research coordinator at Fraunhofer Gesellschaft (1985-2007), and Head of Department at DLR (2007-2010). His research focuses on dependable distributed systems for aerospace applications, including satellite networks, real-time operating systems (RODOS), UAV swarm control, fault-tolerant architectures, and space mission software. Key projects span satellite formation flight (TET, AsteroidFinder), solar sail missions, distributed avionics (VIDANA), and medical IoT systems. Recent publications (2018) demonstrate strong emphasis on distributed spacecraft systems, UAV navigation, fault tolerance, and software engineering for space applications. Trends include miniaturized satellite technologies, decentralized control algorithms, real-time OS verification, and Java-based space systems. He leads research in distributed computing networks and UAV laboratories, supervising projects like VaMEx-LaOLA (Mars exploration) and ultra-wideband positioning systems. Though no awards are documented, he has coordinated over 100 projects including ESA and DLR missions.

Vikram S. Adveمشاهده پروفایل

استاد

• Compilers
• Programming Languages
• Parallel Computing
• +۶ مورد دیگر

Vikram S. Adve is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He co-founded and co-leads the Center for Digital Agriculture and directs the USDA-funded AIFARMS Institute , focusing on AI applications in sustainable agriculture. His research bridges compilers, parallel systems, and AI to address challenges in edge computing and digital farming. Research interests span compiler technologies (LLVM, HPVM), parallel programming models , software reliability , and AI-driven agriculture . Key projects include: CropWizard : Generative AI for agricultural decision-making. HPVM/ApproxHPVM : Compiler IR for edge devices. Hydride/MISAAL : Automated retargetable compiler construction. Recent publications (2018-2025) emphasize compiler optimizations, approximate computing, binary analysis, and AI for systems. Trends show convergence of compiler techniques , heterogeneous computing , and AI applications in agriculture and edge devices. Adve actively recruits students for projects funded by USDA, Intel, Amazon, and Illinois DPI. He leads the HPVM compiler team and digital agriculture initiatives , integrating cross-disciplinary research across CS, engineering, and agronomy.

• Reconfigurable Computing
• Electronics Design Automation
• Post-Quantum Cryptography
• +۴ مورد دیگر

Dr. Andrea Guerrieri is an Associate Professor at the University of Applied Sciences and Arts Valais-Wallis - School of Engineering , specializing in Reconfigurable Computing, Electronics Design Automation (EDA), and Post-Quantum Cryptography . His work focuses on accelerating FPGA compilation through tools like DynaRapid and optimizing security protocols via Dynamatic , with technologies adopted by industry leaders including Intel, AMD-Xilinx, and CERN . He holds a BSc in Industrial Systems and a MSc in Engineering from HES-SO, and teaches courses in Digital Design and Embedded Hardware. BSc HES-SO in Industrial Systems (2019) BSc HES-SO in Computer and Communication Systems (2017) MSc HES-SO in Engineering (2021) Guerrieri’s research bridges High-Level Synthesis (HLS) and Reconfigurable Architectures to enhance FPGA performance for both terrestrial and space applications . His 2025 publications highlight advancements in heterogeneous computing , energy-efficient PQC , and rapid compilation frameworks . Notably, his 2024 work on DynaRapid achieved 20× speedup in C-to-FPGA implementation. Key scientific contributions span dataflow circuit optimization , dynamic scheduling , and automated code transformations . His 2023 book Applications Enabled by FPGA-Based Technology and 2021 textbook System-on-Chip Design with Arm established foundational references in embedded systems. Awards include Best Paper at FPL 2024 , Outstanding TPC Member at DAC 2024 , and IEEE Senior Membership (2021) . 2024: Best Paper Award (FPL), Outstanding Short Paper Award (HPEC) 2023: H-Saber publication on PQC optimization 2021: IEEE Senior Member recognition As Chair of Onboard Computing for the CHEESE-NASA SSERVI consortium, he leads international collaborations with ETH Zurich, University of Geneva, California State University , and companies like NVIDIA, Arm, and NASA . His projects include the Innosuisse-funded DyReCte initiative (2019–2021) for reconfigurable cryptoengines in nanosatellites.

Peter C. Petersenمشاهده پروفایل

دانشیار

• Systems Neuroscience
• Computational Neuroscience
• Electrophysiology
• +۳ مورد دیگر

Peter C. Petersen is an Associate Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. Holding a Civilingeniør (MSc) in Technical Physics from DTU and a PhD in Neuroscience, he specializes in systems-level neural mechanisms using electrophysiological approaches. His educational background includes: Civilingeniør (MSc) in Technical Physics, DTU PhD in Neuroscience Petersen's research focuses on neural dynamics in memory and motor systems, combining in vivo electrophysiology with computational modeling. He investigates hippocampal place cells for spatial working memory and rotational dynamics in spinal cord networks, while developing neurotechnology tools like CellExplorer for single-neuron analysis. His work bridges experimental neuroscience, engineering, and data science to decode circuit-level computations. Recent publications (2020-2024) reveal a dual emphasis on hippocampal memory mechanisms (e.g., temperature effects on sharp wave ripples) and innovative methodology (e.g., 3D-printed microdrives). This trajectory demonstrates consistent advancement from tool development to fundamental discoveries in neural coding, with increasing collaboration intensity as evidenced by multi-institutional authorship. Scientific awards: No specific awards were documented in the source material. While explicit advising details are absent, his leadership in software/hardware development (CellExplorer, microdrive systems) implies active mentorship of technical researchers. Grant information isn't specified, though high-impact publications suggest sustained funding for neurotechnology and systems neuroscience projects. Petersen directs the Petersen Lab (https://petersenlab.org/), which employs chronic electrophysiology in rodent models to study memory and movement. The lab maintains strong ties with the Buzsáki lab (hippocampal research) and continues collaborations initiated during his NYU Langone Health tenure (2016-2022), reflecting an integrated approach to neural circuit analysis across institutions.

Cezary Gajewskiمشاهده پروفایل

دانشیار

• Industrial design process
• human computer interaction
• virtual reality environments
• +۷ مورد دیگر

Cezary Gajewski serves as an Associate Professor in the Department of Design Studies at the University of Alberta and coordinates the Art & Design Fundamentals program, with his office located in the Fine Arts Building (3-81). His academic credentials include: MFA in Sculpture from the University of Alberta (1998) MDes in Industrial Design from the University of Alberta (2003) PhD in Fine Arts, Applied Arts and Industrial Design from the Eugeniusz Geppert Academy of Fine Arts in Wrocław (2016) Gajewski's research integrates technological and traditional design methodologies with human-centered principles, focusing on 3D form, user experience, and seamless hardware-software interaction in systems like virtual reality environments. His work emphasizes the designer's role from conceptual sketch to physical prototype, translating complex user needs into intuitive, innovative products. Recent industry collaborations include the ViCCi I/II digital way-finding systems, N-Zone network gaming for Alberta's tech sector, and the Canola Bioproducts interactive exhibit for the Science Alberta Foundation. He teaches industrial design methodologies, product design, and Computer Aided Industrial Design (CAID), leveraging cutting-edge tools to bridge theoretical frameworks with practical application in design education.

Luca Vizioliمشاهده پروفایل

دانشیار

• Neuroimaging
• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• +۳ مورد دیگر

Luca Vizioli is an Associate Professor in the Department of Radiology at the University of Minnesota, affiliated with the Center for Magnetic Resonance Research. His work focuses on advancing neuroimaging techniques, particularly at ultrahigh magnetic fields (e.g., 10.5T), to enhance spatial and temporal resolution in functional MRI (fMRI). Research interests include RF coil design, noise reduction algorithms (e.g., NORDIC), and applications of deep learning to imaging challenges. Education details are not explicitly stated, though his PhD is noted. His research spans cutting-edge topics like laminar fMRI at UHF, denoising strategies for submillimeter resolution, and the impact of psychedelic substances on brain networks. He collaborates on tools like fMRIPrep Lifespan for developmental neuroimaging preprocessing. Key technical innovations include high-Quality 0.5mm isotropic fMRI leveraging random matrix theory and physics-driven AI, as well as multi-echo distortion correction frameworks. His work bridges engineering (coil design) and neuroscience (cortical processing mechanisms), with implications for understanding both normal brain function and neurological disorders.

Anthony Harrisمشاهده پروفایل

استاد مهمان

• Digital Humanities
• Artificial Intelligence
• Medieval Studies
• +۳ مورد دیگر

Anthony Harris is a Visiting Professor in the Department of Computer Science and Technology at the University of Cambridge. He holds roles as Director of Studies for Computer Science at Emmanuel College, Fellow and Tutor at Clare Hall, and mentor for the Accelerate entrepreneurial program at the Judge Business School. He is also a visiting fellow at Kellogg College (Oxford) and a research fellow at Regent’s Park College (Oxford). His research focuses on digital humanities, generative AI in teaching/research, and early mathematics/astronomy. Education: PhD from Cambridge (Sidney Sussex College), degrees from Oxford and the University of Reading. Entrepreneurial background includes co-founding Software 2000, recognized with Queen’s Awards for Export and Prince of Wales Award for Technology. Research interests include AI applications in humanities, medieval computus analysis, and digital manuscript studies. Awards include the Fulbright All-Disiplines Scholar Award and British Academy Neil Ker Memorial Fund Award. Professional activities: business angel investor in over 50 companies, non-executive director at ScaleXP and Flit Bikes, and treasurer roles at Clare Hall, Kellogg College, and Regent’s Park College. Teaching: Developed workshops on LLMs in humanities research, supervises courses in e-commerce, business studies, and computer science. Active in grants and labs related to AI-humanities integration and early mathematics.

Patrizia Saviمشاهده پروفایل

دانشیار

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +۳ مورد دیگر

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

Junfeng Zhaoمشاهده پروفایل

استادیار

• Connected and Automated Vehicles
• CAV System Integration and Safety Assessment
• Motion Planning and Controls
• +۵ مورد دیگر

Dr. Junfeng Zhao is an Assistant Professor at Arizona State University's Polytechnic School within the Ira A. Fulton Schools of Engineering. He serves as the Principal Investigator of the Battery Electric & Intelligent Vehicle (BELIV) Lab and holds graduate faculty appointments in both the Robotics & Autonomous Systems (RAS) and Clean Energy Systems (CES) programs. Dr. Zhao's educational background includes: Ph.D. in Mechanical Engineering from The Ohio State University (2015), recipient of OSU Presidential Fellowship M.S. in Mechanical Engineering from University of British Columbia (2009) B.S. in Electrical Engineering from Tsinghua University (2007) Dr. Zhao's research focuses on connected and automated vehicles (CAV), with expertise spanning system integration, safety assessment, motion planning and controls, cooperative perception, AI/ML applications in automotive systems, and electrified propulsion control. His BELIV Lab develops advanced systems for battery electric and intelligent vehicles, targeting safer, cleaner, and more energy-efficient transportation solutions. With industry experience at General Motors R&D and Cummins Technical Center, his work bridges theoretical research with practical automotive applications. Analysis of Dr. Zhao's recent publications reveals a strong emphasis on cooperative perception frameworks, safety assessment methodologies for automated driving systems, integration of satellite positioning for vehicle localization, and novel testing approaches using digital twin and augmented reality technologies. His research consistently addresses critical challenges in autonomous vehicle deployment. Professional recognitions include: OSU Presidential Fellowship during doctoral studies 15 patents in automotive and vehicle systems Dr. Zhao actively mentors 9 current graduate students across PhD and Master's programs, with research areas spanning autonomous driving, battery management systems, and intelligent transportation. His former students have secured positions at major companies including Caterpillar Inc., BYD North America, and TSMC. The BELIV Lab has established itself as an Autoware Center of Excellence, received funding from industry partners like Cox, and has been featured in media coverage including The State Press and documentaries on self-driving technology. BELIV Lab maintains active industry collaborations and participates in outreach activities such as the 10th Annual Hands-on STEM Fair, demonstrating Dr. Zhao's commitment to inspiring future engineers and advancing autonomous vehicle technology through both academic research and practical implementation.