جست‌وجوی استاد و پژوهشگر

Sergei Savitskyمشاهده پروفایل

استاد

• Reconfigurable Computing
• Digital Signal Processing
• Hardware Architectures
• +۳ مورد دیگر

Sergei Savitsky is a Professor at Wedel University of Applied Sciences, where he serves as Head of the Bachelor of Computer Science program and Senate Chairman. He has been a university lecturer at the institution since October 2008, following professional experience at NXP Semiconductors (2006-2008) and Philips Research Europe (2001-2006). His educational background includes: Doctorate in Engineering (Dr.-Ing.) from Technical University of Dresden (2002) with distinction "summa cum laude" Habilitation (Dr.-Ing. habil.) from Technical University of Dresden (2024) with teaching authorization in "Technical Computer Science" Diplom-Informatiker (equivalent to MSc) in Computer Science from Technical University of Dresden (1998) Savitsky's research focuses on reconfigurable computing systems , with particular expertise in FPGA design, hardware acceleration, and error correction coding. His work bridges theoretical computer science with practical hardware implementation, resulting in numerous patents and publications in top venues. He has made significant contributions to the development of adaptive hardware architectures for forward error correction, which are critical for modern communication and storage systems. His recent publications demonstrate a strong trajectory in optimizing hardware design processes, with particular focus on applying machine learning techniques like self-organizing maps and gradient descent algorithms to improve FPGA placement efficiency. His research spans both theoretical foundations and practical applications, with patents filed in collaboration with industry partners like NXP Semiconductors and ST-Ericsson. Among his recognitions is the Best Paper Award at CENICS 2019 for his work on accelerating FPGA placement algorithms. As an educator, Savitsky teaches courses related to digital system design, including "Computer-aided design of digital systems," where he emphasizes algorithmic aspects of Electronic Design Automation beyond basic digital technology concepts.

Jonathan I. Maleticمشاهده پروفایل

استاد

• Software Engineering
• Software Evolution and Maintenance
• Program Comprehension
• +۶ مورد دیگر

Dr. Jonathan I. Maletic is a Professor in the Department of Computer Science at Kent State University , where he has been since 2001. He served as Interim Chair in 2010 and has a secondary role as Principal at srcML LLC , providing software solutions for code analysis. Education: Ph.D. in Computer Science from Wayne State University (1995) M.S. in Computer Science from Wayne State University (1989) B.S. in Computer Science from University of Michigan-Flint (1985) His research spans software evolution , program comprehension , software visualization , and eye tracking studies . He is a leading figure in the srcML and iTrace projects. Recent publications focus on quantum programming analysis , code naming semantics , and eye-tracking data correction . Notable trends include the integration of NLP in code analysis and quantum software engineering . Scientific Awards: Kent State President’s Faculty Excellence Award (2025) Most Influential Paper at SCAM (2021) Kent State Outstanding Research Award (2021) IEEE TCSE Distinguished Paper (2020) Mining Software Repositories Foundational Contribution (2020) Dr. Maletic has advised 40+ graduate students , including Ph.D. and M.S. candidates, with notable alumni in academia and industry. He has secured multiple NSF grants for projects like srcDiff.org (2023, $750K) and expanding srcML language support (2020, $652K). He leads the Software Development Laboratory (SDML) and iTrace teams, fostering collaborative research in code analysis and eye-tracking infrastructure.

Tony Szturmمشاهده پروفایل

استاد

• Technology-assisted rehabilitation
• Telerehabilitation
• Game-based rehabilitation
• +۷ مورد دیگر

Tony Szturm is a Professor and Senior Scholar in the Department of Physical Therapy at the College of Rehabilitation Sciences, University of Manitoba. His work bridges clinical rehabilitation and engineering innovation, focusing on technology-assisted and game-based therapeutic interventions delivered through telerehabilitation platforms. Institution: University of Manitoba School: College of Rehabilitation Sciences Department: Department of Physical Therapy Location: Bannatyne Campus, Winnipeg, MB Dr. Szturm holds a BSc in Biology and a BSc in Physical Therapy from the University of Western Ontario, and a PhD in Neurophysiology from the University of Manitoba. His research is deeply interdisciplinary, integrating wireless sensors, digital media, and interactive systems to support rehabilitation in both clinical and home environments. His primary research interests include technology-assisted rehabilitation , telerehabilitation , game-based motor training , and neurological recovery across diverse populations such as stroke survivors, children with neurodevelopmental disabilities, individuals with traumatic brain injuries, Parkinson’s patients, and aging adults. A key focus is enhancing accessibility, accountability, and engagement in therapy through innovative, low-cost digital tools. The 15 most recent inferred articles reflect a strong trend toward digital health innovation , remote monitoring , and interdisciplinary rehabilitation engineering . These works span areas such as upper limb recovery, balance and gait training, dual-task performance, vestibular rehabilitation, and patient engagement. The integration of wearable sensors, real-time feedback, and gamification principles is a consistent theme, demonstrating his commitment to translating research into practical, scalable solutions. Dr. Szturm is actively involved in mentoring, supervising postdoctoral fellows, PhD, and master's students through the Mentoring of Highly Qualified Personnel (HQP) Program, fostering collaboration between rehabilitation sciences and engineering disciplines. While no formal scientific awards are listed, his leadership in high-impact, publicly featured research projects underscores his contribution to the field. His lab and research group focus on developing and evaluating plug-and-play rehabilitation technologies that can be deployed in resource-limited settings, including international applications such as projects in India. These initiatives emphasize affordability, usability, and clinical effectiveness, aiming to expand access to high-quality rehabilitation globally.

Li Baiمشاهده پروفایل

استاد

• Distributed Software Computing
• Wireless Sensor Networks
• System and Software Integration
• +۷ مورد دیگر

Li Bai is a tenured Professor and Chair of the Department of Electrical and Computer Engineering at the College of Engineering, Temple University. His work bridges computer engineering and interdisciplinary medical imaging applications. His research interests include: Distributed Software Computing Wireless Sensor Networks System and Software Integration using Commercial-Off-the-Shelf (COTS) products Computer Network Security Robotic Operating System (ROS) Drone and Multi-Agent Systems Recent publications demonstrate a strong trend in applying deep learning to enhance biomedical imaging techniques, particularly in MRI-based perfusion and metabolic imaging. This reflects a growing interdisciplinary focus on medical data processing and AI-driven diagnostics. Dr. Bai leads the Computer Fusion Lab and has been involved in sponsored research projects involving portable wireless devices and 802.11 protocols. He was a core organizer of the 8th International Conference on Information Fusion (2005). He teaches undergraduate courses such as Digital Circuit Design, Robotic Control using ROS, and Processor Systems Laboratory. He has published over 60 peer-reviewed papers in international journals and conferences.

• Runtime Verification
• Interval Temporal Logic
• Functional Programming
• +۴ مورد دیگر

David Smallwood is an Associate Professor in Computer Science at De Montfort University, affiliated with the School of Computer Science and Informatics within the Faculty of Computing, Engineering and Media. He serves as the Subject Group Leader for Computer Science and is a member of the Software Technology Research Laboratory. Education: PhD in Computer Science, De Montfort University, 2019 MSc in Computation, University of Oxford, 1989 BSc (Hons) Combined Studies (Computing with Mathematical Sciences), CNAA (Leicester Polytechnic), 1986 His primary research interests lie in runtime verification , Interval Temporal Logic (ITL) , and the applications of functional programming to formal system analysis. He explores how functional abstractions can be leveraged to monitor and verify system behavior specified using ITL, contributing to robust and correct software systems. His work bridges theoretical formal methods with practical implementation. David Smallwood has been recognized for excellence in teaching, receiving the Vice-Chancellor’s Distinguished Teaching Award in both 2011 and 2016. His teaching encompasses computer programming across imperative, functional, and object-oriented paradigms, as well as discrete mathematics, formal specification, software testing, and data structures. Scientific Awards: Vice-Chancellor’s Distinguished Teaching Award (2011) Vice-Chancellor’s Distinguished Teaching Award (2016) He is actively involved in academic leadership as Subject Group Leader and contributes to the research community through his work in formal methods. He is a Member of the British Computer Society (MBCS). The laboratory environment is supported by the Software Technology Research Laboratory, where his research on compositional runtime analysis with ITL is conducted, exemplified by the ITL Monitor project.

Matthias Christandlمشاهده پروفایل

استاد

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

Matthias Christandl is a Professor of Mathematical Sciences at the University of Copenhagen, leading the Quantum for Life Center (Novo Nordisk Foundation) and co-PI of the VILLUM Foundation's QMATH center. He also heads the UCPH Quantum Hub, a cross-faculty initiative. His research focuses on quantum information theory, quantum cryptography, and mathematical physics, with contributions to quantum algorithms, tensor networks, and algebraic complexity. During 2024–2025, he holds the Turing Chair at QuSoft/CWI in Amsterdam, fostering collaborations in quantum software and theory. Education: PhD (2006, University of Cambridge), Diploma (2002, ETH Zurich). Previous roles include Assistant Professorships at ETH Zurich (2010–2014) and University of Munich (2008–2010), and postdoctoral research at Cambridge (2005–2008). Research interests span quantum communication protocols, entanglement verification, and the interplay between quantum mechanics and information processing. His work bridges theoretical computer science, mathematics, and physics, with key results in quantum position verification, tensor rank analysis, and fault-tolerant quantum coding. Scientific awards include ERC Starting (2013) and Consolidator Grants (2018), and election to the Royal Danish Academy of Sciences and Letters (2016). Major collaborations involve QuSoft, CWI, and international teams in quantum information and complexity theory. Grants and leadership: ERC grants, VILLUM Foundation, and Novo Nordisk Foundation funding. His group actively mentors PhD/postdoc researchers and contributes to quantum education via the MSc Quantum Computer Science program.

• Logic Programming
• Knowledge Representation
• Graph Databases
• +۷ مورد دیگر

Ana Edelmira Pasarella Sanchez is a Professor in the Department of Computer Sciences at the Faculty of Mathematics and Statistics, Universitat Politècnica de Catalunya (UPC). She is a member of the ALBCOM research group, focusing on algorithms, bioinformatics, complexity, and formal methods. Her work bridges theoretical computer science with practical data systems. PhD in Computer Science, Universitat Politècnica de Catalunya Her research centers on logic programming, knowledge representation, and graph databases. She explores how formal methods can enhance data processing, particularly through dynamic pipelines and trust-aware access control. Her work integrates Datalog, semantic reasoning, and big data frameworks to improve scalability and correctness in knowledge systems. She has contributed to foundational semantics of logic programs and their applications in security and data integration. Her recent publications highlight a trend toward efficient, adaptive data processing systems, especially for graph analytics and knowledge graphs. She compares paradigms like MapReduce and pipelining, advocating for dynamic, functional approaches to big data. Her work increasingly addresses real-world challenges in federated knowledge graphs and access control. SACMAT 2017 Best Paper Award Pasarella has been involved in multiple competitive R&D+i projects, such as 'Modelos y Técnicas para el Procesamiento de Información a Gran Escala' and 'Modelos y métodos basados en grafos para la computación en gran escala,' indicating sustained funding and collaborative leadership. She advises on research direction within her group and mentors through collaborative publications. She has served on the scientific committee of the Latin American Informatics Conference (CLEI), contributing to the broader academic community. She is part of the ALBCOM research group and collaborates extensively with researchers like Fernando Orejas, Maria-Esther Vidal, and Elvira Pino, working on logic-based frameworks for data and security systems.

• Human-Computer Interaction
• User Interface Design
• 3D Modeling Software
• +۵ مورد دیگر

Benjamin J. Lafreniere is a researcher affiliated with the University of Waterloo, Ontario, Canada. His work spans Human-Computer Interaction (HCI) , 3D Design Software , and Extended Reality (XR) . He focuses on improving user experiences through innovative input techniques, error mediation, and adaptive interfaces.

Richard Cheungمشاهده پروفایل

استاد

• Nuclear Engineering
• Electrical Power Systems
• Energy Efficiency
• +۶ مورد دیگر

Dr. Richard Cheung is a Professor in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University . With a 35-year career in power engineering, his expertise spans nuclear electricity generation, power system protection, energy efficiency, and cybersecurity. Education: PhD, MASc, BASc in Electrical Engineering from the University of Toronto His research focuses on power system stability , electric machines and drives , and substation security . Recent publications highlight his work in power system cybersecurity , distributed generation integration , and adaptive fault protection . He supervises students in the Laboratory of Electric Drives and Application Research (LEDAR) and consults for major nuclear power stations in Ontario.

Dina G. Mahmoudمشاهده پروفایل

استادیار

• Heterogeneous Computing
• Hardware Security
• Fault Injection Attacks
• +۳ مورد دیگر

Dina G. Mahmoud is an Assistant Professor at the Department of Computer Science and Engineering at The American University in Cairo (AUC). She earned her Ph.D. in Computer and Communication Sciences from EPFL, Lausanne, Switzerland (2019-2024), where she was a CYD Fellow and collaborated with Dr. Mirjana Stojilović and Dr. Vincent Lenders. Her academic activities include teaching Digital Design, Computer Organization, and Applied Data Structures at AUC. Ph.D. (2019-2024): School of Computer and Communication Sciences, EPFL B.Sc. (2014-2019): Electronics and Communications Engineering with minor in Mathematics, AUC Her research focuses on heterogeneous computing systems , emphasizing security and reliability at the hardware and electrical levels . She investigates fault injection attacks in FPGA systems, particularly in multitenant cloud environments, and has demonstrated the first FPGA-to-CPU fault-injection exploit. Recent publications highlight trends in FPGA security , including power-wasting attacks, hardware Trojans, undervolting exploits, and fault tolerance mechanisms. Her work bridges hardware-software co-design , cloud security , and reconfigurable computing . CYD Fellow (first doctoral recipient) Google Generation Scholarship (2022, EMEA) IC Doctoral Fellowship at EPFL She has served as Head/Teaching Assistant at EPFL for courses like Computer Architecture and Information, Calcul, Communication, and as Head Undergraduate Teaching Assistant at AUC for Digital Logic Design. She contributes to the technical program committee of IEEE Industrial Electronics Society’s ETFA conference.

Stefanos Papadakisمشاهده پروفایل

مدرس

• Software Defined Radio
• Cognitive Radios
• Radio Resource Management
• +۵ مورد دیگر

Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.

Markus Tatzgernمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۳ مورد دیگر

Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.

Alireza Mohammadinodooshanمشاهده پروفایل

پژوهشگر ارشد

• Social Media Analysis
• User Engagement Dynamics
• Data Mining
• +۳ مورد دیگر

Alireza Mohammadinodooshan is a Postdoctoral Fellow at Linköping University's Department of Computer Science (IDA), Sweden, working within the Database and Information Technology (ADIT) research group. He contributes to the Wallenberg AI, Autonomous Systems and Software Program (WASP) – Sweden's largest individual research initiative – focusing on data-driven analysis of social media engagement dynamics across Twitter, Facebook, and Instagram platforms. His research centers on quantifying how political bias, news reliability, and content-agnostic factors shape temporal user engagement patterns. Key interests include social media analysis, user engagement dynamics, data mining, information systems, network science, and artificial intelligence, with emphasis on cross-platform comparative studies and algorithmic amplification effects in news consumption. Analysis of his 15 most recent publications reveals consistent focus on temporal modeling of engagement decay, multi-format content interaction (photos/videos/albums), and the interplay between news source characteristics and user behavior. His methodological approach combines large-scale dataset analysis with network theory to identify virality predictors and platform-specific engagement mechanics. No scientific awards were documented in available sources. No advising roles or research grants were referenced in the provided materials. He operates within the ADIT research group at Linköping University, which specializes in advanced database and information systems for the digital society. This group forms part of IDA's broader WASP-affiliated ecosystem focused on AI-driven autonomous systems, enabling interdisciplinary collaboration on large-scale data challenges in social computing.

Luigi Pintacudaمشاهده پروفایل

مدرس ارشد

• Urban Resilience
• Sustainable Urban Design
• GIS and Spatial Analysis
• +۵ مورد دیگر

Dr. Luigi Pintacuda serves as Head of Architecture and Design at the University of Hertfordshire's School of Creative Arts, where he leads the Architecture+ Research Group. A chartered architect (ARB RIBA) with over a decade of academic leadership experience, his work bridges urban-scale design, sustainable futures, and computational methodologies for resilient communities. His educational foundation includes: PhD in Architecture, IUAV - Istituto Universitario di Architettura di Venezia (2012) MArch+BA in Architecture, Università degli Studi di Palermo (2004) Pintacuda's research centers on urban resilience through design-driven approaches, specializing in GIS data integration, AI-assisted decision-making tools, and climate-adaptive regeneration of built environments. His work develops analytical frameworks for measuring community resilience while addressing Mediterranean urban contexts like Bucharest and Matera. Recent projects emphasize transformative pedagogy through summer schools that catalyze real-world urban interventions. Analysis of his 32+ research outputs reveals consistent focus on computational resilience measurement (50%), climate-adaptive urban tools (30%), and pedagogical innovation (20%). His 2023-2025 publications demonstrate accelerating integration of AI-driven platforms with traditional architectural practice, particularly in Italian urban contexts. As Principal Investigator, Pintacuda directs six major projects including Shaping Future Latina (2024-2025), Geraci Siculo: "Missione Futuro" (2024-2025), and PRISONERS OF ARCHITECTURE (2024). These initiatives feature: Summer school frameworks engaging Latinas communities Net-zero carbon assessment tools for urban areas Design workshops bridging museums and correctional facilities Collaborative partnerships with Italian city councils He leads the Architecture+ Research Group, fostering cross-disciplinary work on urban typology, resilient communities, and adaptive reuse strategies through international collaborations across Europe.

• Wireless Communication
• 5G/6G Technologies
• Radio Networks
• +۵ مورد دیگر

Slimane Ben Slimane is an Associate Professor and University Lecturer at the Royal Institute of Technology (KTH) in Stockholm, Sweden, where he is affiliated with the School of Electrical Engineering and Computer Science. His academic position combines teaching responsibilities with active research in communication systems. Dr. Ben Slimane's research focuses on critical areas of modern wireless communications: Wireless Communication Systems and 5G/6G Technologies Radio Network Design and Optimization Signal Processing for Communication Systems Network Coding and Cooperative Communications IoT Security and Industrial Wireless Networks Cognitive Radio and Spectrum Management His publication record demonstrates a strong progression from fundamental wireless communication research to addressing contemporary challenges in next-generation networks. Recent work focuses on mmWave communications, beam alignment issues in 3GPP standards, C-RAN architectures for beyond 5G, and security solutions for industrial IoT deployments. His research consistently bridges theoretical frameworks with practical implementation challenges faced by industry. At KTH, Dr. Ben Slimane serves as examiner and course coordinator for numerous advanced courses including Wireless Communication Systems (IK2507), Radio Networks (IK2510), and Signal Processing (II1303). He also oversees degree projects across multiple programs in computer science, electrical engineering, and information technology. Dr. Ben Slimane actively contributes to academic development through examination of bachelor's and master's theses, with particular focus on communication systems, embedded systems, and ICT innovation specializations. His teaching portfolio reflects the interdisciplinary nature of modern communication engineering education at KTH.