جست‌وجوی استاد و پژوهشگر

Richard Lewisمشاهده پروفایل

استاد

• Cognitive Science
• Linguistics
• Computational Linguistics
• +۵ مورد دیگر

Richard Lewis is the John R. Anderson Collegiate Professor of Psychology, Linguistics, and Cognitive Science at the University of Michigan. He directs the Weinberg Institute of Cognitive Science, a hub for interdisciplinary research. His work focuses on computational models of human cognition, particularly language processing architectures, and he co-founded the cognitive science undergraduate major at U-M. Lewis was honored as an Arthur F. Thurnau Professor (2021) for his transformative contributions to undergraduate education. Education: Ph.D., Carnegie Mellon University Research interests span cognitive neuroscience, psycholinguistics, and computational linguistics. His projects investigate how humans process sentences cross-linguistically and adapt predictive models during comprehension. Notable achievements include developing programs that integrate computer science, philosophy, and psychology to study the mind. His articles explore topics ranging from neural noise effects on decision-making to AI's capacity for analogical reasoning. Awards include the Thurnau Professorship, recognizing his dedication to student engagement and curriculum innovation. Lewis advises on interdisciplinary initiatives at the Weinberg Institute and collaborates on projects like icon array communication for public health. His work bridges theoretical models with empirical studies, emphasizing the computational foundations of human cognition.

• Cyber Security
• Internet of Things
• Blockchain
• +۴ مورد دیگر

Dr. Baraq Ghaleb is an Associate Professor within the Centre for Distributed Computing, Networks and Security at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He actively delivers and leads modules for both Undergraduate and Postgraduate programs in the Cyber Security and Systems Engineering subject group. Dr. Ghaleb earned his PhD from Edinburgh Napier University in June 2019, following completion of his MSc and BSc degrees. His academic journey has positioned him as an expert in cybersecurity and IoT technologies. His research focuses on investigating security vulnerabilities of Internet of Things standards and utilizing cutting-edge advancements to address these vulnerabilities. With expertise spanning Cyber Security, Internet of Things, Blockchain, and Machine Learning, Dr. Ghaleb bridges theoretical research with practical applications, particularly in securing IoT ecosystems. His recent work shows a clear progression from foundational networking research to contemporary security challenges involving blockchain, cryptography, and AI-enhanced security solutions. Dr. Ghaleb has secured significant research funding as Principal Investigator and Co-Investigator across multiple projects with a total budget of approximately £435,000. His externally funded projects include SafeNet (Carnegie Trust), Trusted Threat Sharing (Innovate UK), TruElect (Innovate UK), and LastingAsset (Innovate UK). He currently supervises numerous PhD students working on diverse security challenges: Blockchain-based Privacy-preserving Cybersecurity Intelligence Sharing (Elfatih Ahmed) Enhancing Security and Privacy of Blockchain-based Healthcare Systems (Faneela) Design of complex encryption schemes for IoT security (Shahbaz Khan) Intelligent and Privacy-Preserving Security Solutions for IoT Networks (Iain Baird) Dr. Ghaleb is affiliated with the Centre for Distributed Computing, Networking and Security and the Centre for Cybersecurity, IoT and Cyberphysical Systems, where he contributes to cutting-edge research in secure network architectures, cryptographic techniques, and privacy-preserving frameworks across multiple domains including automotive supply chains, healthcare systems, and environmental monitoring.

Donatella Sciutoمشاهده پروفایل

استاد

• Electronic Design Automation
• Embedded Systems
• Multiprocessor Systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor of Computer Science and Engineering at Politecnico di Milano, serving as Executive Vice Rector overseeing research strategies. She holds a PhD from the University of Colorado, Boulder and an MBA from Bocconi University. Her research focuses on embedded systems design, low-power electronics, and cyber-physical systems, with contributions to smart cities and ICT infrastructure. Education: Bachelor's in Electronic Engineering, Politecnico di Milano (1984) PhD in Electrical and Computer Engineering, University of Colorado, Boulder MBA, SDA Bocconi School of Management Research Interests: Embedded systems, multiprocessor architectures, hardware/software co-design, power-efficient computing, and building automation via IoT technologies. She leads the Embedded Systems Design research group at Politecnico di Milano and coordinates EU-funded projects in smart cities and reconfigurable systems. Awards: IBM Women Leaders in AI (2021) IEEE Fellow (2011) EDAA Fellow (2010) Outstanding Contribution Award, IEEE Computer Society (2009) Professional Roles: Board Member: Bank of Italy, Istituto Italiano di Tecnologia, STM, Avio Former President, IEEE Council of Electronic Design Automation (2011-2013) Executive Committee Member, Design Automation and Test in Europe (DATE) conference Labs/Teams: Leads the Embedded Systems Design and Design Methodologies group at Politecnico di Milano, collaborating with CEFRIEL on executive education programs in embedded systems and IoT.

• Edge Computing
• Fog Computing
• Cloud Computing
• +۴ مورد دیگر

Dragi Kimovski is a Habilitated Assistant Professor in Distributed Systems at Klagenfurt University, Austria, focusing on Edge Computing and AI. He previously held roles at the University of Innsbruck and the University of Information Science and Technology in Macedonia. His research spans Edge/Fog/Cloud computing, multi-objective optimization, and high-performance computing. He has coordinated major projects like 6GContinuum and KärtnerFog, and led initiatives such as DataCloud and ASPIDE. His teaching includes courses on Distributed Computing, Cloud Computing, and IoT. He is the co-creator of the Carinthian Computing Continuum and maintains a blog on Edge AI World. His work emphasizes sustainable and efficient computing solutions for emerging technologies. Education: Not explicitly listed in the provided text. Research Interests: Edge Computing, Fog Computing, Cloud Computing, Multi-objective Optimization, High-Performance Computing, AI in Distributed Systems. His work addresses challenges in resource management, latency reduction, and scalability across heterogeneous environments, with applications in healthcare, IoT, and 6G networks. Projects: 6GContinuum (Coordinator): Focuses on AI services over 6G networks. KärtnerFog (Scientific Coordinator): Develops adaptive Fog infrastructures over 5G. DataCloud (WP5 Leader): Manages Big Data pipelines on the Computing Continuum. ASPIDE (Scientific Coordinator): Advances exascale programming models for data processing. Teaching: Klagenfurt University: Courses include Distributed Computing, IoT, Cloud Computing, and Advanced Programming. University of Innsbruck: Taught Advanced Parallel and Distributed Systems. University of Information Science and Technology: Courses in High-Performance Computing and Network Architectures. Labs/Teams: Co-created the Carinthian Computing Continuum, an automated SDN testbed for Edge computing research. Active in interdisciplinary teams addressing extreme data processing and sustainable computing.

Kyriakos Deliparaschosمشاهده پروفایل

پژوهشگر

• Autonomous Vehicles
• Control Systems Design
• High Performance Computing
• +۶ مورد دیگر

Kyriakos Deliparaschos is affiliated with the Cyprus University of Technology as a Researcher. His work focuses on cutting-edge technologies in autonomous systems, control systems design, and FPGA-based implementations. He collaborates actively with institutions like the Institute of Communications and has co-authored papers with experts such as Argyrios Zolotas and Themistoklis Charalambous. His research interests span autonomous robotics, medical robotics, and high-performance computing, with a strong emphasis on real-time systems and embedded hardware-software co-design. Notable contributions include advancements in Delaunay triangulation algorithms for multi-core architectures and fault-tolerant AI systems for autonomous vehicles. Deliparaschos has published widely in journals like IEEE Access and Electronics, focusing on topics such as computational resource management in cloud environments and FPGA-driven control system paradigms. His work bridges theoretical research with practical applications in both academia and industry.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Hongjie Wangمشاهده پروفایل

استادیار

• Power Electronics
• Electric Vehicle Charging
• Resonant Converters
• +۲ مورد دیگر

Hongjie Wang is an Assistant Professor in Electrical and Computer Engineering at Utah State University, where he serves as co-director of the Utah State University Power Electronics Laboratory and leads the NSF ASPIRE ERC Charging Stations of the Future project. His research focuses on power electronics for transportation electrification, particularly extreme fast charging systems and dynamic wireless power transfer. Research domains include: High-efficiency resonant converter design Grid integration of EV charging infrastructure Second-life battery applications in energy storage Dynamic wireless power transfer for in-motion charging Thermal management of power electronics Recent publications demonstrate innovations in unfolding-based AC-DC converters, load modeling for large-scale charging infrastructure, and reinforcement learning approaches for grid-integrated charging optimization. His work has received multiple best paper awards including recognition from IEEE ECCE and IEEE IAS.

Darshika G. Pereraمشاهده پروفایل

استادیار

• Computer Engineering
• FPGA-Based Hardware Acceleration
• Neuromorphic Computing
• +۵ مورد دیگر

Darshika G. Perera is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Colorado Colorado Springs (UCCS). Her research focuses on FPGA-based hardware acceleration, neuromorphic computing, and embedded systems optimization with applications in machine learning, cryptography, and battery management systems. She holds a PhD and has extensive experience in designing reconfigurable architectures for compute-intensive tasks. Her work bridges theoretical algorithms with practical hardware implementations, emphasizing efficiency and real-time performance. Key research areas include FPGA design methodologies, neuromorphic hardware for AI applications, and embedded systems security. She has published widely on topics such as hardware-software co-design for edge computing, optimization algorithms for genomics, and blockchain applications in healthcare IoT. Her contributions also span data mining hardware accelerators and dynamic reconfiguration techniques for cryptographic systems. Dr. Perera’s work is characterized by interdisciplinary collaborations, combining principles from electrical engineering, computer science, and applied mathematics. She is committed to advancing next-generation edge-computing platforms through innovative architectures and methodologies.

Martin Reissleinمشاهده پروفایل

استاد

• Communication Networks
• Engineering Education
• Multimedia Networking
• +۵ مورد دیگر

Dr. Martin Reisslein is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU), where he also serves as Program Chair of Computer Engineering. He earned his Ph.D. in Systems Engineering from the University of Pennsylvania (1998) and holds degrees from the University of Pennsylvania and Fachhochschule Dieburg, Germany. His research focuses on communication networks (e.g., 5G, optical networks, software-defined networking) and engineering education, with over 200 journal articles and 60 conference papers. He has led NSF-funded projects on network architecture optimization and K-12 engineering education. Education : Ph.D. (Systems Engineering, UPenn, 1998), M.S.E. (Electrical Engineering, UPenn, 1996), Dipl.-Ing. (FH) (Electrical Engineering, Fachhochschule Dieburg, 1994) Awards : NSF Career Award (2002), IEEE Fellow (2014), Bessel Research Award (2015), DRESDEN Fellowship (2016) Editorial Roles : Co-Editor-in-Chief of Optical Switching and Networking , Associate Editor for multiple IEEE journals His research spans communication networks (e.g., multimedia networking, optical systems) and engineering education (e.g., K-12 outreach, instructional design). Recent articles address cloud computing, 5G architectures, and cybersecurity in satellite systems. He teaches courses such as Communication Networks and oversees graduate research.

• Distributed Systems
• Edge Computing
• Serverless Computing
• +۴ مورد دیگر

Stefan Nastic is an Assistant Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Distributed Systems department. He serves as Curriculum Coordinator for the Master’s program in Distributed and Next Generation Computing, and is a Substitute Member of the Curriculum Commission for Informatics. His research focuses on distributed systems, edge computing, serverless computing, IoT, and smart cities. He holds a PhD in IoT cloud systems (2016) and a BSc (not explicitly stated). Key research contributions include frameworks for serverless edge-cloud continuum (e.g., HyperDrive, GoldFish), federated learning applications (e.g., adaptive human activity recognition), and IoT infrastructure governance (e.g., Polaris Scheduler). He leads projects like RapidREC (2023–2025) on supply chain optimization and participates in initiatives like TEADAL (2022–2025) for edge-cloud workflows. Publications span 30+ peer-reviewed articles in top venues like IEEE IoT, ACM, and IEEE Cloud. He supervises graduate students on stateful serverless functions, federated learning, and edge-cloud scheduling. His work addresses challenges in resource management, latency reduction, and scalable distributed systems.

• Wireless Communications
• MIMO Systems
• Satellite Communications
• +۳ مورد دیگر

Iain Collings is a Professor in the School of Engineering at Macquarie University, Sydney, Australia since 2014. He previously held roles as Head of Department and Deputy Dean of School. With a PhD in Systems Engineering from the Australian National University (1995), he spent nine years at CSIRO in leadership roles such as Deputy Chief of Division and Theme Leader, followed by academic positions at the Universities of Melbourne and Sydney. His research focuses on wireless communications, including MIMO systems, satellite communications, and millimeter-wave technologies. He has published over 350 papers and co-founded the Australian Communications Theory Workshop (AusCTW). Awards include the Engineers Australia Neville Thiele Award (2009), IEEE Stephen O. Rice Award (2011), and multiple teaching excellence awards. Education: PhD in Systems Engineering, Australian National University (1995) Previous academic and research roles at CSIRO, University of Melbourne, and University of Sydney Research Interests: Pioneering contributions to adaptive multiple-user and antenna systems in wireless communications, including MIMO, satellite networks, IoT, UAV communications, and RFID technologies. His work bridges fundamental research, prototype development, and education through channels with over 80,000 YouTube subscribers. Recent Projects: DP23: Enabling wide-area mm-wave mobile broadband networks (2023–2025) LP20: Scaling Up Satellite Communications for IoT (2021–2024) Advanced Satellite Communications for High-Rate Service Delivery (2020) Publications: Over 350 papers, with recent focuses on UAV-based IoT data collection, satellite IoT feasibility, and mm-wave beamforming. His YouTube channel provides educational content viewed over 7 million times. Awards and Roles: Fellow of IEEE Member of Australian Academy of Science's National Committee for Information and Communication Sciences Associate Editor for Sensors and IEEE Transactions on Wireless Communications

Sang-Woo Junمشاهده پروفایل

استاد

• Big Data Analytics
• Hardware Acceleration
• Non-Volatile Memory
• +۳ مورد دیگر

Professor Sang-Woo Jun is a leading researcher in systems and software for big data analytics, focusing on FPGA-based hardware acceleration and non-volatile memory (NVM) storage. His work spans applications such as graph analytics and bioinformatics, with a strong emphasis on cost-effective, high-performance computing architectures. He advises PhD students like Shengquan Ni and Yicong Huang, both of whom have achieved notable milestones (e.g., thesis defense, fellowship awards). Research Interests: Hardware Acceleration for Big Data FPGA-Based System Architectures Non-Volatile Memory Systems Graph Analytics and Bioinformatics Edge Computing and Low-Power Systems Recent Contributions: His articles highlight innovations in edge accelerators (e.g., IceSpy, Eciton), genomics acceleration (Bancroft), and scalable graph processing (Durin, Sting). These works emphasize reconfigurable systems, privacy-preserving techniques, and energy-efficient designs. Lab & Team: As part of the Intelligent Systems Group (ISG), he collaborates on events like the Southern California Database Day. His research bridges hardware-software co-design with real-world applications in IoT, environmental monitoring, and genomics.

Laura Pozziمشاهده پروفایل

استاد

• Embedded Systems
• Compiler Techniques
• Coarse-Grain Reconfigurable Architectures
• +۳ مورد دیگر

Laura Pozzi is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), Switzerland, since 2015. She previously held positions as Associate Professor (2011–2015) and Assistant Professor (2005–2011) at USI. Prior to joining USI, she was a postdoctoral researcher at EPFL's Processor Architecture Laboratory (2001–2005), a research engineer at STMicroelectronics (2000), and an Industrial Visitor at UC Berkeley (2000). Education: MS and PhD in Computer Engineering from Politecnico di Milano, Italy (1996–2000). Her research focuses on the interaction between compiler and architecture design, particularly in embedded systems , with key areas including approximate computing , coarse-grained reconfigurable arrays (CGRAs) , high-level synthesis (HLS) , and fuzz testing . She has led projects on automated design space exploration, compiler optimizations for reconfigurable architectures, and error estimation in approximate circuits. Recent Publications span topics like SAT-based mapping for CGRAs , grammar-based fuzzing of shell interpreters , and approximate logic synthesis , reflecting her interdisciplinary work bridging hardware/software co-design and software verification. Scientific Awards: Credit Swiss Best Teaching Award IEEE DAC Best Paper Award Leadership Roles: Co-Program Chair, IEEE Symposium on Application Specific Processors (SASP) Editorial Board Member, IEEE Design and Test Students: Current: Rodrigo Otoni (Postdoc), Morteza Rezaalipour (PhD), Riccardo Felici (PhD), Cristian Tirelli (PhD) Alumni: Ilaria Scarabottolo (PhD/Postdoc), Lorenzo Ferretti (PhD/Postdoc), Georgios Zacharopoulos (PhD), Giovanni Ansaloni (PhD/Postdoc), Paolo Bonzini (PhD)

Ingrid Bauer-Hänselمشاهده پروفایل

استادیار

• Blockchain Applications
• Data Markets and Platforms
• Agile IT Management
• +۳ مورد دیگر

Ingrid Bauer-Hänsel is an Assistant Professor of IT Management at the University of St. Gallen (HSG), affiliated with the Information Management (IWI-HSG) department. Her academic career includes roles as a Senior Technology Manager at Chage:ON (AMAG Group) and a doctoral researcher at the University of Zurich. She holds a Ph.D. in Blockchain Information Systems from the University of Zurich and a M.Sc. in Business Administration and Information Systems from Copenhagen Business School. Her research focuses on blockchain technologies, data markets, agile IT systems, and interorganizational systems design. Notable projects include the InnoSuisse Cardossier Project and studies on blockchain consortia. Bauer-Hänsel teaches courses such as Agile IT and Organization , Information Management , and Business Informatics 1 at both bachelor and master levels. She received the 2018 2nd Runner-up Best Paper Award at the ICIS conference. Her work explores socio-technical systems, tokenization, and AI-driven business models, with a particular emphasis on automotive and financial sectors. Current initiatives include designing blockchain-based data markets and exploring generative AI’s impact on knowledge work. Bauer-Hänsel’s professional background includes IT consulting at PwC, risk management roles at Danske Bank, and academic research at IBM and the Karlsruhe Institute of Technology. She actively contributes to bridging academic research with industry applications through collaborative projects and advisory roles.

Wenwu Zhuمشاهده پروفایل

استاد

• Big data analysis
• Multimedia communication and networking
• Multimedia computing
• +۵ مورد دیگر

Wenwu Zhu is a Professor and Vice Chair of the Department of Computer Science and Technology at Tsinghua University. He has held prominent positions at Microsoft Research Asia, Intel Research China, and Bell Labs, establishing himself as a leading figure in multimedia computing and networking with international recognition as a FOREIGN member of the Academy of Europe (elected 2018). His educational background includes: Ph.D. in Electrical and Computer Engineering from New York University (1996) Professor Zhu's research focuses on the intersection of multimedia systems, networking, and big data. His work has pioneered advancements in internet video streaming, multimedia cloud computing, and social-aware content distribution. He has made significant contributions to understanding how multimedia content can be efficiently delivered across diverse network environments, from traditional wired networks to modern mobile and social platforms. His research bridges theoretical computer science with practical applications, with his work on social-aware video content distribution being transferred to Tencent company. His publication record shows a clear evolution from foundational work on internet video streaming in the early 2000s, through multimedia cloud computing in the early 2010s, to more recent work on social-aware multimedia and network embedding using deep learning approaches. This progression reflects the changing landscape of multimedia computing from infrastructure-focused to socially-aware and AI-driven systems. Professor Zhu has received numerous prestigious honors: AAAS Fellow (2016) SPIE Fellow (2013) IEEE Fellow (2010) Minister of Education's Natural Science Award, 1st prize (2017) Chinese Institution of Electronics's Natural Science Award, 1st prize (2015, 2012) National Natural Science Award, 2nd prize (2012) Chief Scientist for NSFC Major Project (2016) Chief Scientist for Ministry of Science and Technology's 973 Project (2014) Multiple Best Paper Awards including ACM Multimedia 2012 As Editor-in-Chief of IEEE Transactions on Multimedia since 2017 and through leadership roles as General Co-Chair for ACM CIKM 2019 and ACM Multimedia 2018, Professor Zhu has significantly shaped the multimedia research community. His research has been supported by major grants including NSFC Major Projects and Ministry of Science and Technology's 973 Projects, demonstrating both academic and national strategic importance. He has published over 300 referred papers with an H-Index of 55, including 6 Best Paper Awards and 7 books or book chapters. Professor Zhu leads a research group at Tsinghua University focused on multimedia big data computing, with strong industry connections. His team has made pioneering contributions to structural network embedding using deep learning and social contextual recommendation systems, bridging theoretical advances with practical applications in social media platforms.