جستجوی استاد راهنمای دانشگاهی

Annabel Lathamمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence in Education
• Ethics and Trust of AI
• Computational Intelligence
• +۸ مورد دیگر

Dr. Annabel Latham is a Senior Lecturer in Computer Science at Manchester Metropolitan University within the Faculty of Science and Engineering’s Computing and Mathematics department. She holds a PhD in Artificial Intelligence, an MSc in Computing, a Postgraduate Certificate in Academic Practice, a CIM Diploma in Marketing, and a BSc(Hons) in Computation. As a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE (SMIEEE), she contributes extensively to AI research and education. PhD in Artificial Intelligence MSc in Computing PGC Academic Practice CIM Diploma in Marketing BSc(Hons) Computation FHEA (2015) SMIEEE (2018) Research Interests include Artificial Intelligence in Education , Ethics of AI , and Computational Intelligence . She specializes in conversational agents, intelligent tutoring systems, and public trust in AI. Her work addresses fairness, accountability, and accessibility in AI-driven education, leveraging technologies like large language models and fuzzy logic. Research Outputs span 15 years, with a focus on explainable AI, educational applications of conversational agents, and ethical frameworks. Recent work (2024-2025) explores postdigital citizen science, trustworthy AI implementation, and XAI usability for non-specialists. 2023 IEEE Region 8 Outstanding Women in Engineering Volunteer Award 2019 IEEE Region 8 Outstanding Women in Engineering Affinity Group of the Year 2018 Outstanding Peer Reviewer, Elsevier: Computers & Education Senior Member IEEE (2018) FHEA (2015) Teaching and Supervision includes undergraduate Databases, postgraduate units in Information Systems and AI Ethics. She supervises MSc and PhD students in areas like explainability-aware machine learning, data responsibility, and AI trustworthiness. Her grants involve collaborations with international funding bodies such as NAFOSTED (Vietnam) and Croatia’s National Council for Science. Labs and Groups include the Computational Intelligence Lab, Machine Intelligence research group, and the Data and AI Ethics research group, where she co-leads initiatives on ethical AI in education.

• Computer Architecture
• Embedded Systems
• Parallel and Distributed Computing
• +۳ مورد دیگر

Jürgen Teich is a Professor at the University of Erlangen-Nuremberg, Department of Computer Science. His research focuses on computer architecture, embedded systems, and hardware-software co-design, with particular emphasis on energy-efficient and sustainable computing. He leads projects involving FPGA-based accelerators, neural networks on microcontrollers, and real-time systems optimization. His work spans topics such as approximation computing, MPSoCs (Multiprocessor Systems-on-Chip), and IoT device architectures. Key contributions include methodologies for optimizing resource allocation in heterogeneous systems and developing energy-harvesting solutions for embedded systems. Teich has authored numerous publications in top-tier conferences and journals, including DATE, FPL, and ACM Transactions. His research often collaborates with industry partners, emphasizing practical applications and open-source hardware.

Yohannes Bekeleمشاهده پروفایل

استادیار

• Cyber-physical System Security
• Reliable Computing
• Edge Computing
• +۵ مورد دیگر

Dr. Yohannes Bekele is an Assistant Professor of Electrical and Computer Engineering at Hampton University's School of Engineering, Architecture and Aviation. His research focuses on cyber-physical system security, reliable distributed computing, and edge computing. He holds a Ph.D. from North Carolina A&T State University (2023), MSc from Addis Ababa University (2018), and BSc from Arba Minch University (2007). Prior to academia, he worked as a senior engineer/project manager at Ethio Telecom and held technical roles in various organizations. His expertise includes hardware fault analysis, secure embedded systems, and transportation IoT security. He currently teaches courses aligned with his research and leads projects on cyber-physical system reliability. Dr. Bekele is affiliated with professional organizations like NSBE and IEEE. Recent publications highlight work on federated learning-based intrusion detection systems, QEMU fault injection tools, and rowhammer attacks on embedded devices. His research bridges theoretical cybersecurity concepts with practical implementation in edge and embedded systems. Dr. Bekele has no listed scientific awards but demonstrates active participation in conferences such as IEEE HOST and AFRICON. His teaching and research emphasize hands-on projects, reflected in courses taught and industry collaborations.

Ahmad Salmanمشاهده پروفایل

دانشیار

• Cybersecurity
• Hardware Security
• Internet of Things (IoT) Security
• +۴ مورد دیگر

Ahmad Salman is an Associate Professor at James Madison University (JMU) in the College of Integrated Science and Engineering (CISE), specializing in Cybersecurity, Hardware Security, and the Security of the Internet of Things (IoT). He holds a Ph.D. in Computer Engineering from George Mason University (2017) and an M.S. in Computer Engineering from the same institution (2011), with a B.Sc. in Computer Engineering from the University of Arab Academy for Science and Technology (2002). Education: Ph.D. in Computer Engineering, George Mason University (2017) M.S. in Computer Engineering, George Mason University (2011) B.Sc. Computer Engineering, University of Arab Academy for Science and Technology (2002) Research Interests: His work focuses on securing emerging technologies, including IoT systems, UAVs, and cyber-physical infrastructure. Key areas include AI-driven cybersecurity solutions, hardware-based security mechanisms, and privacy preservation in smart environments. Recent projects involve real-time emotion detection for companion robots, secure UAV surveillance systems, and automated vulnerability inspection tools like SAVI. Grants and Contributions: Salman has secured multiple grants and published widely in high-impact venues. He advocates integrating ethical reasoning into applied science curricula and emphasizes practical applications of security technologies. His work often bridges theoretical research and real-world deployments, such as the SAWBRID smart whiteboard system and transit monitoring frameworks. Labs and Collaborations: While specific lab affiliations are not detailed, his research collaborations involve interdisciplinary teams focusing on IoT, AI, and cybersecurity. He actively participates in IEEE and ACM initiatives, driving advancements in hardware-software co-design for secure systems.

• Computer Networks
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Hala ElAarag is a Professor of Computer Science at Stetson University, located in Deland, Florida. She holds a PhD from the University of Central Florida (2001) and MS/BS degrees from Alexandria University (1991/1989). Her research focuses on computer networks, machine learning, cybersecurity, and computer science education. She has authored over 70 publications and 11 edited books, including her notable work Web Proxy Cache Replacement Strategies Simulation, Implementation, and Performance Evaluation . ElAarag has served in leadership roles, such as President of the Consortium of Computing Sciences in Colleges (2016-2018) and Vice President (2014-2016). She has also been active in organizing conferences, including co-chairing the Communication and Networking Simulation Symposium and Spring Simulation Multiconference. Her teaching philosophy emphasizes hands-on learning, reflected in her development of 15 computer science courses, including core and specialized subjects like Computer Networks and Algorithms Analysis. Her research trends span algorithm optimization, network security, and autonomous systems, with recent work in AI-driven password cracking and quadrotor modeling. Awards include the IEEE Region 3 Biedenbach Award (2022) and multiple teaching and service recognitions. She has mentored numerous students and contributed to STEM outreach through initiatives like the Tech Trek Coordinator for middle school girls (2021-2023). ElAarag’s contributions extend to editorial roles in journals like Journal of Computing Sciences in Colleges and Simulation: Transactions of SCS . Her work bridges academic research and practical application, emphasizing pedagogical innovation and interdisciplinary collaboration.

• Computer Architecture
• Reconfigurable Computing
• Hardware Acceleration
• +۶ مورد دیگر

Dionysios Pneumatikatos is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) since September 2019. Previously, he served as a Professor and Chair of the Department of Electronic and Computing Engineering at the Technical University of Crete (2000–2019) and is an Associate Researcher at the Foundation for Research and Technology (FORTH) since 1997. His primary affiliations include the Computing Systems Laboratory (CSLab) at NTUA and the Computer Architecture and VLSI Systems (CARV) Laboratory at FORTH. Education: B.Sc. in Computer Science, University of Crete (1989) M.Sc. and Ph.D. in Computer Science, University of Wisconsin–Madison (1991, 1995) Research Interests: Computer Architecture Reconfigurable Computing Hardware Acceleration (e.g., FPGA, RISC-V) Energy-Efficient Systems Reliable System Design Application-Specific Architectures His work focuses on heterogeneous parallel systems , bioinformatics accelerators , and virtualization frameworks for reconfigurable platforms . Recent Projects & Contributions: Coordinator of the FASTER (FP7) project Principal Investigator in EDRA (H2020), EXTRA , and dReDBox Key roles in AXIOM , DeSyRe , and VPLANET These projects explore FPGA-based HPC systems , RISC-V ecosystems , and disaggregated data center architectures . Teaching & Mentorship: Teaches courses on Computer Architecture , Parallel Processing , and Logic Design at NTUA and TU Crete Supervised multiple national/EU projects, fostering interdisciplinary research in embedded and high-performance systems Labs & Networks: Active member of the HiPEAC European Network Program Committee roles at ISCA , FPL , and DATE Led the 21st International Conference on Field-Programmable Logic and Applications (FPL)

• Resource-efficient machine learning
• Data-efficient machine learning
• On-device learning
• +۵ مورد دیگر

Olga Saukh is an Associate Professor at TU Graz's Institute of Computer Engineering, leading the Embedded Learning and Sensing Systems (ELSS) group. Her research focuses on resource-efficient AI, on-device learning, and robust sensing systems for IoT and environmental monitoring applications. She holds a Dr.rer.nat. and MSc in Computer Science, with expertise in embedded systems and wireless sensor networks. Her work integrates machine learning with hardware constraints, addressing challenges in energy efficiency, real-time adaptation, and adversarial robustness. Notable projects include PCDCNet for air quality forecasting and SensorFormer for sensor calibration. She has contributed to OpenSense Zurich's air pollution monitoring and automated pollen sensing systems. Her research spans over 50 publications since 2006, emphasizing practical deployments in structural health monitoring, smart agriculture, and urban environmental sensing. She leads interdisciplinary projects combining AI, embedded hardware, and data-driven decision-making.

Jorge Juan Chicoمشاهده پروفایل

دانشیار

• Embedded Systems
• Digital Electronics
• Power and Timing Modeling
• +۴ مورد دیگر

Dr. Jorge Juan Chico is an Associate Professor in the Electronics Technology Department at the University of Seville, Spain, where he leads the Digital Research and Development Group at the Computer Engineering School. He holds a PhD in Physics (2000) and BSc from the University of Seville. His research spans metastability, delay modeling, timing/power simulation, and IoT security, with contributions to embedded systems and digital electronics. He has authored 2 books, numerous journal articles, and conference papers, and served as guest editor for Springer and IEE Proceedings. He is a committee member for IEEE PATMOS since 2002 and has advised projects funded by national and European grants. Education: BSc in Physics, University of Seville, 1994 PhD in Physics, University of Seville, 2000 Research Interests: His work focuses on optimizing embedded systems, IoT security, timing synchronization (e.g., NTP/SNTP), hardware design for IoT devices (e.g., NanoBoot, IRIS), and educational methodologies for digital electronics. Recent projects include RIING (elderly monitoring) and BootTimeIoT (IoT boot systems). Grants & Projects: Principal Investigator for multiple projects including RIING (2012-2015), BootTimeIoT (2018-2020), and HIPERSYS (2012-2014). Funded by entities like the Spanish Ministry of Economy and Competitiveness. Collaborations include Abada Servicios Desarrollo, Oteara, and industry partners. Teaching: Teaching responsibilities include courses in digital electronics and embedded systems. He promotes innovative lab methodologies and virtualization tools for IT education.

• Computer Engineering
• Microelectronics
• Embedded Systems
• +۵ مورد دیگر

Julián Viejo Cortés is an Associate Professor at the University of Seville, affiliated with the Department of Electronic Technology in the School of Computer Engineering. His professional focus revolves around hardware design, embedded systems, and microelectronics, with notable contributions to secure IoT devices, FPGA-based systems, and time synchronization protocols. He has led or participated in multiple research projects such as USECHIP: Chair in Microelectronics and NanoFS: a hardware-oriented file system . Research Interests: - IoT Security and Embedded Systems - FPGA and Hardware Design Methodologies - Time Synchronization Protocols - Low-Power CMOS Circuit Design - Membrane Computing and Formal Systems - System-on-Chip (SoC) Integration His publications emphasize practical hardware solutions, including secure boot mechanisms ( IRIS ), efficient time server cores, and energy-efficient CMOS gate designs. He has directed doctoral research, such as Juan Quirós Carmona's thesis on membrane computing hardware implementations. Grants & Projects: USECHIP: Chair in Microelectronics (TSI-069100-2023-001) Advanced Initiation Systems for IoT (TIN2017-89951-P) Incentive Grants for TIC-204 Research Group (2017–2010) Labs/Teams: Active contributor to the Digital Research and Development group, focusing on innovative embedded systems and FPGA applications.

Jean-Philippe Diguetمشاهده پروفایل

استاد مدعو

• Embedded Systems
• Hardware/Software Co-Optimization
• Advanced System-on-Chip Design
• +۶ مورد دیگر

Jean-Philippe Diguet is a CNRS Research Director (DR CNRS) and Director of the French-Australian Laboratory CROSSING (CNRS IRL 2010). He holds an adjunct professorship at the School of Computer Science, University of Adelaide. His roles have included leading research teams such as SHAKER and the MOCS team (50 staff), and managing the Transversal program on Systems of Drones at Lab-STICC. He has been a visiting professor at institutions including Tohoku University (Japan) and USP University (Brazil). Education includes a HDR (2005, UBS University, France), PhD in High Level Synthesis (1996, University of Rennes I), and a Master's in Signal/Telecommunications (1993, University of Rennes I). His research focuses on embedded systems optimization, advanced SoC architectures, and autonomous/self-adaptive systems for energy-efficient computing and AI integration. Professional highlights include the 2001 Anvar Emergence Prize and co-founding Dixip (2003), a SME specializing in wireless embedded systems. His leadership spans CNRS departments and international collaborations, with a career bridging academic research and industry innovation.

• Software Testing
• Model-Based Testing
• Search-Based Software Engineering
• +۶ مورد دیگر

Raluca Lefticaru is an Associate Professor in Computer Science at the University of Bradford's School of Computing, Software and Artificial Intelligence & Engineering (CSAI&E), within the Faculty of Engineering & Digital Technologies. She leads the BEng Software Engineering programme and holds a visiting researcher position at the University of Sheffield's Testing group. A Fellow of the Higher Education Academy (FHEA), she specializes in software testing methodologies, particularly model-based testing using evolutionary approaches, formal specification, and P systems verification. Her research interests span software testing, model-based testing, search-based software engineering, membrane computing, and formal verification. Recent professional activities include organizing conferences such as YISEC 2023, AIERC 2022, and A-MOST 2021, serving as a program committee member for SEFM 2025, ICTSS 2023, and ICSE 2022, and reviewing for WCCI 2022. She has held roles including Co-chair of YISEC 2023 and Communication Chair of CMC18 (2017). Raluca's work emphasizes interdisciplinary applications, from IoT security to medical imaging analysis. Her publications reflect contributions to testing frameworks for P systems, fault tree analysis, and AI-driven solutions for cyberbullying detection and industrial fire prevention. She actively contributes to academic journals in membrane computing, optimization, and software engineering. Awards: Fellow of the Higher Education Academy (FHEA) Key Projects: IoT safety-security integration, robotic system testing, and COPD self-management systems Conference Leadership: Organized over 10 international conferences since 2017

Kevin Angstadtمشاهده پروفایل

استادیار

• Computer Architecture
• Programming Languages
• Software Engineering
• +۳ مورد دیگر

Kevin Angstadt is an Assistant Professor of Computer Science at St. Lawrence University, part of the Department of Mathematics, Computer Science, and Statistics. He holds a Ph.D. from the University of Michigan (2020) and an MCS from the University of Virginia (2016), with undergraduate degrees in Computer Science, Mathematics, and German Studies from St. Lawrence University (2014). His research focuses on the intersection of computer architecture, programming languages, and software engineering, with an emphasis on optimizing programming support for emerging hardware technologies like accelerators and autonomous systems. Education: Ph.D. in Computer Science and Engineering, University of Michigan (2020) M.S. in Computer Science, University of Virginia (2016) B.S. in Computer Science, Mathematics, and German Studies, St. Lawrence University (2014) Research Interests: His work spans programming abstractions for hardware accelerators, fault-tolerant autonomous systems, and tools like MNRL and MNCaRT for automata processing. He also collaborates on projects such as StatKey, a statistical simulation tool used by over one million users. Recent Articles Trends: His publications emphasize hardware-software co-design, resilience in autonomous systems, and debugging support for pattern-matching languages. Recent work includes NSF-funded research on program repair and optimization, and frameworks like LOGI and START for secure autonomous vehicle operation. Awards: NSF Medium Grant ($1.2M, 2022) UVA Teaching and Service Award (2017) Jefferson Scholars Foundation Fellow (2014–2017) Best in Session Award at TECHCON 2016 Advising & Grants: He leads a $1.2M NSF grant and has advised projects on pattern-matching accelerators, autonomous vehicle resilience, and compiler optimization. Collaborates with industry and academic partners on mission-critical systems and software reliability. Labs/Teams: Core contributor to MNRL (automata processing ecosystem), StatKey (statistical tools), and the START project for resilient autonomous systems. Active in open-source development and hardware-accelerator research groups.

• Processor Architecture
• Embedded Systems
• Power/Energy-Aware Computing
• +۹ مورد دیگر

Chen Liu is a Professor in the Department of Electrical & Computer Engineering at the Wallace H. Coulter School of Engineering & Applied Sciences, Clarkson University. His research focuses on runtime software behavior modeling via hardware-level data, with applications in multi-core architectures and cybersecurity. Ph.D., Electrical and Computer Engineering, University of California - Irvine (2008) M.S., Electrical Engineering, University of California - Riverside (2002) B.E., Electrical Engineering, University of Science and Technology of China (2000) Dr. Liu's research bridges processor architecture, embedded systems, and hardware-software co-design. Key areas include multi/many-core multi-threading , power-aware computing , operating system micro-architecture interaction , and reconfigurable computing . His work emphasizes security and resource optimization through hardware acceleration and virtualization. Over the past decade, Dr. Liu has pioneered hardware/software integrated approaches for runtime behavior modeling, advancing domains like many-core EEG processing, energy-efficient prefetching in mobile systems, and cloud-based virtual machine management. His collaborations with institutions such as Intel and the Air Force Research Lab underscore his impact in embedded and parallel computing. Air Force Research Lab (AFRL) Summer Faculty Fellow (2015-2016) Air Force Research Lab (AFRL) Visiting Faculty Research Fellow (2013) Dr. Liu has secured two NSF grants: the BRIGE grant (2011-2016) for broadening participation in engineering and the MRI grant (2016-2019) for research infrastructure. He leads the Cybersecurity, Autonomous System, and Machine Learning Engineering Lab (CAMEL), driving experimental studies in heterogeneous computing and runtime behavior analysis.

Janusz A. Starzykمشاهده پروفایل

استاد

• Machine Learning
• Neural Networks
• Robotics
• +۷ مورد دیگر

Janusz A. Starzyk is a Professor of Electrical Engineering and Computer Science at Ohio University's Russ College of Engineering and Technology, and holds a concurrent professorship at the University of Information Technology and Management in Rzeszów, Poland. He earned his M.Sc. and Ph.D. in Electrical Engineering from Warsaw University of Technology and a habilitation from Silesian University of Technology. His research focuses on embodied intelligence, machine learning, neural networks, and VLSI design, with notable contributions to self-organizing systems and reinforcement learning. Starzyk has supervised 47 M.Sc. and 16 Ph.D. students, and his work spans over 190 peer-reviewed publications. He leads the Embodied Intelligence Lab at Ohio University and collaborates with institutions worldwide, including Nanyang Technological University and the Institute for Artificial Intelligence in Switzerland. His awards include the Best Research Paper Award from Ohio University and nominations for IEEE Fellow. He has secured $3.8 million in research grants, with projects in GPS signal processing, radar target recognition, and machine learning applications. His patents include innovations in object identification systems and self-organizing learning hardware. Starzyk's expertise bridges academia and industry, with roles as a consultant for companies like Magnolia Broadband and Sarnoff Research.

Carlo Patronoمشاهده پروفایل

استاد

• Nonsteroidal antiinflammatory drugs
• Antiplatelet drugs
• Clinical pharmacology
• +۱ مورد دیگر

Carlo Patrono is a distinguished Professor and Chair of Pharmacology at the Catholic University School of Medicine in Rome, a position he has held since 2007. Previously, he served as Professor of Pharmacology at University of Rome 'La Sapienza' 2nd School of Medicine (2001-2006) and University of Chieti 'G. d'Annunzio' School of Medicine (1991-2001). His academic journey began as Assistant Professor at Catholic University School of Medicine (1972-1982), progressing to Associate Professor (1983-1985). Dr. Patrono earned his M.D. Cum Laude from Catholic University School of Medicine, Rome in 1968, following a B.S. in Arts from Liceo Classico Nazareno in 1962. He completed postdoctoral training at Bronx Veterans Administration Hospital and Mount Sinai School of Medicine, New York (1969-1971). His research focuses on nonsteroidal antiinflammatory drugs , antiplatelet drugs , clinical pharmacology , and arachidonic acid metabolism , with significant contributions to understanding cardiovascular pharmacology and platelet function. His work has particular relevance to aspirin therapy and antithrombotic agents. Dr. Patrono has received numerous prestigious awards including the Grand Prize from Fondation Lefoulon-Delalande (2013), the John Vane Award from University of London (2007), and the International Aspirin® Senior Award from Bayer AG (1998). His scholarly impact is reflected in his editorial roles with major journals including Circulation and Arteriosclerosis, Thrombosis and Vascular Biology. As an active researcher, he serves as Principal Investigator for multiple funded projects including studies on antiplatelet effects of aspirin in diabetes patients, funded by Bayer HealthCare AG. He also contributes to European Commission initiatives like the EICOSANOX program investigating eicosanoids and nitric oxide in cardiovascular diseases. Within his institution, Dr. Patrono chairs the Drug Therapy Committee and serves on the Ethics Committee at Catholic University School of Medicine, Rome. He is also a member of the Board of Directors for the Center for Aging Sciences at G. d'Annunzio University Foundation.