جست‌وجوی استاد و پژوهشگر

Miguel Pupo Correiaمشاهده پروفایل

استاد

• Cybersecurity
• Distributed Systems
• Blockchain Technology
• +۵ مورد دیگر

Miguel Pupo Correia is a Full Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico, University of Lisbon. He serves as President of the Executive Committee of INESC-ID and is a researcher in the Distributed, Parallel and Secure Systems (DPSS) group. He represents Portugal in the European Blockchain Partnership (EBP) and holds roles in Associação .PT. He holds a PhD in Computer Science from the University of Lisbon Faculty of Sciences. His research focuses on cybersecurity, dependability in distributed systems, and their applications in blockchain, cloud, and mobile environments. Key projects include TRUSTyFOOD, BIG, and MAFTIA, among others. He is an Associate Editor for IEEE Transactions on Computers and a Senior Member of IEEE. His work spans blockchain interoperability, secure cloud storage, intrusion detection, and fault-tolerant algorithms. Notable contributions include BlockSim (a blockchain simulator) and SRX (SGX data recovery). He has over 200 publications and leads initiatives like BLOCKCHAIN.PT to advance Portugal’s blockchain adoption.

Ravi Tandonمشاهده پروفایل

استاد

• Information Theory
• Machine Learning
• Security and Data Privacy
• +۱۲ مورد دیگر

Ravi Tandon is a Professor in the Department of Electrical and Computer Engineering at the University of Arizona, where he holds a Craig M. Berge Faculty Fellowship and a courtesy appointment in Applied Mathematics. He joined the university in 2015 after serving as a Research Assistant Professor at Virginia Tech. Education: PhD in Electrical and Computer Engineering, University of Maryland, College Park, 2010 B.Tech in Electrical Engineering, Indian Institute of Technology (IIT) Kanpur, 2004 Research Interests: His research spans information theory and its applications to wireless networks, machine learning, security, and privacy. He focuses on trustworthy machine learning, privacy-preserving AI, federated learning, secure communications, and private information retrieval. His work aims to develop foundational theories and practical systems for secure, fair, and efficient AI and communication systems. Recent Research Trends: His most recent publications (2023–2025) emphasize trustworthy AI, including fairness-accuracy tradeoffs, robustness, uncertainty quantification, and privacy in generative models and causal inference. He also continues to advance information-theoretic foundations of secure communications and distributed learning. Scientific Awards: NSF CAREER Award (2017) Keysight Early Career Professor Award (2018) Best Paper Award, IEEE GLOBECOM 2011 Advising and Grants: Dr. Tandon actively supervises PhD and MS students, with former students placed at Apple, Google, Meta, NXP, and other leading tech firms. He has led significant research projects, including an NSF SaTC grant on differential privacy in graph mining. His editorial service includes roles at IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, and IEEE Transactions on Communications. Labs and Teams: He leads a research group focused on information theory, machine learning, and privacy, collaborating with researchers in computer science, applied mathematics, and industry. His work bridges theoretical foundations with real-world AI and communication system design.

Christos Papachristouمشاهده پروفایل

استاد

• Embedded Systems Design
• Parallel Computer Architectures
• Quantum Computing
• +۴ مورد دیگر

Christos Papachristou, PhD is a Professor in the Department of Electrical, Computer, and Systems Engineering at the Case School of Engineering , Case Western Reserve University. His academic career spans over four decades since earning his PhD in Electrical Engineering & Computer Science from Johns Hopkins University in 1975. Prof. Papachristou's research focuses on Embedded Systems Design , Quantum Computing Architectures , Reconfigurable Systems/FPGAs , and Hardware Security . His work addresses critical challenges in fault-tolerant systems , secure system design , and high-level synthesis . Notable contributions include innovations in radiation-hardened SRAM designs , hardware trojan detection , and quantum computing infrastructure . Key Achievements: Recipient of the Albert Nelson Marquis Lifetime Achievement Award (2019) IEEE Best Paper Award for Cognitive Communications for Aerospace Applications (2019) Invited NATO Summer School Lecturer (2008) in Spain/UK and Cleveland His publications reflect expertise in circuit reliability , embedded system security , and quantum computing . Recent work emphasizes electromigration mitigation and reconfigurable architecture kernels . Prof. Papachristou collaborates extensively on projects funded by NSF, DoD, and industry partners. Teaching specialties include Parallel Computer Architectures , Configurable Devices , and Quantum Computing , reflecting his dual focus on theoretical innovation and practical implementation in advanced technologies.

Miljana L. Milićمشاهده پروفایل

استاد

• Electronics
• VLSI Design
• Analog and Digital Circuit Diagnosis
• +۷ مورد دیگر

Miljana L. Milić is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, Department of Electronics. She has been an integral part of this institution since earning her degrees and advancing through academic ranks, culminating in her appointment as full professor in 2024. Education: PhD in Electronics, Faculty of Electronics, University of Niš (2009) Master’s in Electronics, Faculty of Electronics, University of Niš (2005) Bachelor’s in Electronics, Faculty of Electronics, University of Niš (2001) Her research interests span a broad spectrum of electronics engineering, with emphasis on VLSI design, analog and digital circuit diagnosis, cryptographic hardware security, timing analysis under aging, and performance optimization in neural prediction systems. She applies simulation, statistical methods, and AI techniques to solve complex problems in electronic systems design and reliability. The analysis of her recent publications reveals a strong focus on hardware-level innovation, including secure cryptographic cells, fault diagnosis in analog circuits, performance modeling under fading and shadowing, and timing degradation in VLSI systems. Her work bridges theoretical analysis with practical implementation in electronic design and communication systems. She leads the Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems, and is currently involved in one national research project. Her contributions include over 10 journal publications in high-impact venues. Scientific Contributions: Head of Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems Active participant in national research projects Author/co-author of 10+ journal papers with impact factor She mentors students through research supervision and contributes to academic leadership within her department. Her work continues to influence both academic research and practical applications in electronic systems engineering.

• 6G Communications
• Software Defined Networking
• Machine Learning
• +۵ مورد دیگر

Matthew Robinson is a Research Fellow at the University of Hertfordshire within the Department of Engineering and Technology, School of Physics, Engineering & Computer Science. His work focuses on next-generation communication systems and security applications, primarily through European and commercially funded projects including those with the European Space Agency (ESA), Horizon 2020, and industry partners like Global Invacom and Meazon. Education: MEng in Digital Communications and Electronics, University of Hertfordshire (2010-2014) Research Interests: Robinson specializes in 6G communications infrastructure with emphases on Software Defined Networking (SDN) , Machine Learning for sensor systems, Software Defined Radio (SDR) , and Satellite Communication for video broadcasting. His fingerprint analysis reveals strong activity in Connected Vehicles (80%), Software Defined Networking (80%), Machine Learning (50%), and Heterogeneous Transport Networks (40%). Projects demonstrate practical applications in energy disaggregation, vehicle sensor reliability, and secure smart metering. Research Trends: Recent publications (2021-2025) show a strategic pivot from video broadcasting systems toward cybersecurity applications for connected infrastructure. His work increasingly integrates unsupervised machine learning with hardware-software co-design, particularly for real-time threat detection in smart grids and autonomous vehicles, while maintaining satellite communication expertise. Awards: GB Patent GB2612705A: "Improvements to video data distribution networks" Projects & Grants: Robinson has contributed to four major initiatives: (1) SAT>IP WiFi Live Mobile TV (ESA-funded, with BBC R&D/Global Invacom), (2) EDIoT (H2020-funded, with Meazon), (3) AutoTrust (ESA-funded, with RL Automotive/Surrey), and (4) CPU/GPU Satellite Modem (ESA-funded). These projects secured substantial European funding and yielded patents, conference papers, and deployable systems for video broadcasting, energy monitoring, and vehicle sensor networks. Laboratory Affiliation: Works within the Networks and Security Research Centre, leveraging facilities for Software Defined Radio experimentation, satellite communication testing, and machine learning validation for IoT systems.

• Distributed Systems
• Data Center Systems
• Cloud Computing
• +۴ مورد دیگر

Yuchen Qian is a Doctoral Assistant and PhD student at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Data Center Systems Laboratory (DCSL) in the School of Computer and Communication Sciences (IC). He is currently pursuing his doctoral degree through the Doctoral Program in Computer and Communication Sciences (EDIC). His research focuses on data center systems , distributed computing , and cloud infrastructure , with a strong emphasis on performance, scalability, and energy efficiency. His work aligns with modern challenges in large-scale systems and infrastructure optimization. Yuchen is actively contributing to research within the Data Center Systems Laboratory, where he works on systems-level innovations for next-generation computing platforms. As a Doctoral Assistant, he is involved in both research and academic support activities at EPFL. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no information available about students advised by Yuchen Qian or grants he may have received. However, as a Doctoral Assistant, he is likely supported through institutional or laboratory funding associated with EPFL and the DCSL lab. Labs and Research Teams: Yuchen is a member of the Data Center Systems Laboratory (DCSL) at EPFL, a research group focused on building efficient, scalable, and reliable systems for data-intensive applications. The lab investigates topics such as resource management, fault tolerance, and hardware-software co-design in large-scale environments.

• Computer Science
• Sensor Networks
• Robotics
• +۵ مورد دیگر

Ákos Lédeczi is a prolific researcher with significant contributions to computer science, sensor networks, robotics, and K-12 education. His work spans hardware-software co-design, wireless localization, and accessible programming environments. Co-developed NetsBlox and DeepForge for novice-friendly distributed computing. Created PinPtr high-precision GPS cloud service and inTrack mobile node tracking systems. Pioneered Browser-based robotics simulation and smartphone IoT education for K-12 students. Explored RF interferometry , Doppler shift tracking , and acoustic shooter localization in urban environments. Contributed to medical capsule robot design and security co-design for embedded systems. His recent focus includes project-based AI curricula for female high school students and collaborative visual programming environments . While specific university affiliations aren't detailed here, his collaborations with Péter Völgyesi, Miklós Maróti, and others highlight his role in advancing distributed and sensor network research.

• Machine Learning
• Electronic Design Automation
• Reliability Engineering
• +۷ مورد دیگر

Nicolò Bellarmino is a Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, where he also serves as an External Lecturer and Teaching Assistant. His work is centered on machine learning applications in electronic design automation, particularly in microcontroller performance screening and reliability assessment of deep learning hardware. His research interests include machine learning for embedded systems, feature selection, neural network testing, and reliability engineering. He employs techniques such as evolutionary algorithms, transfer learning, and fault injection to develop efficient and robust methodologies for semiconductor testing and DNN accelerator validation. The recent publications highlight a strong focus on data-efficient and automated approaches for performance prediction and reliability assessment, leveraging foundation models, unsupervised learning, and hierarchical modeling. These works span journals and top-tier conferences in computer-aided design, electronics, and machine learning. He has no listed scientific awards in the provided text. Bellarmino actively contributes to teaching in the Computer Engineering and Aerospace Engineering programs, collaborating on courses such as Systems Programming, System and Device Programming, and Future of Work. He is a member of the CAD - Electronic CAD & Reliability Group (DAUIN), contributing to cutting-edge research in EDA and hardware reliability. No grants or advising roles are mentioned.

• Global Navigation Satellite Systems
• GNSS Signal Processing
• Satellite Navigation Receivers
• +۵ مورد دیگر

Fabio Dovis is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, and a member of the Interdepartmental Center PIC4SeR (PoliTO Interdepartmental Center for Service Robotics). His career spans multiple decades with significant contributions to Global Navigation Satellite Systems (GNSS) research and applications. Dr. Dovis serves on the Steering Committee of the Institute of Navigation (2021-2023) and is an Editorial Board member of GPS SOLUTIONS since 2017. His research focuses on satellite navigation technologies with applications spanning from environmental monitoring to space exploration. He leads the Navigation, Signal Analysis and Simulation (NavSAS) Research Group, which is actively developing innovative GNSS solutions. His research portfolio includes satellite navigation receiver design, GNSS for environmental and atmospheric monitoring, GNSS positioning security, and applications in service robotics and precision agriculture. His work bridges theoretical advancements with practical implementations across diverse domains, from terrestrial navigation systems to lunar exploration. Dr. Dovis has supervised numerous PhD students working on cutting-edge GNSS research, with current students focusing on areas such as lunar navigation, GNSS interference monitoring, and robust positioning solutions for challenging environments. His research spans multiple EU-funded projects including EMERITUS (2022-2025), LuGRE (2021-2025), and ROOT (2020-2022). Steering Committee member - Institute Of Navigation, USA (2021-2023) Editorial Board member - GPS SOLUTIONS (2017-) Program chair - International Conference on Localization and GNSS 2013 He has contributed to numerous patents in GNSS technology and serves as Scientific Director for multiple research initiatives including the NODES program under the PNRR framework. His recent publications demonstrate a strong focus on advancing GNSS capabilities for space exploration, particularly for lunar missions, as well as addressing critical challenges in GNSS security and reliability.

Stefan Lankesمشاهده پروفایل

پژوهشگر

• Operating Systems
• System Software
• High-Performance Computing
• +۴ مورد دیگر

Dr. rer. nat. Stefan Lankes is an academic researcher at the Chair of Automation of Complex Power Systems, RWTH Aachen University's Faculty of Electrical Engineering and Information Technology. His work focuses on operating systems, high-performance computing (HPC), cloud computing, and lightweight virtualization techniques for embedded and real-time systems. Stefan holds a PhD in Electrical Engineering (2003) for his dissertation on real-time distributed platforms. His career spans roles from Scientific Assistant (1998-2004) to Academic Director (since 2019), with key contributions to HPC infrastructure and simulation environments. Research highlights include Rust-based OS development ( HermitCore unikernel ), GPU virtualization in distributed systems, and energy-efficient embedded computing paradigms. He pioneered the FlippedOS digital teaching platform using virtual workstations for operating systems education. Scientific awards include the 2016 Digital Teaching Fellowship and the 2021 RWTH Lecturer distinction. His publications cover topics from NUMA memory management to real-time CORBA protocols, with recent works addressing unikernel security and CUDA virtualization. Stefan leads simulation infrastructure and HPC virtualization projects, with affiliations to the E.ON Energy Research Center and involvement in European workshops like Euro-Par. His work bridges system software innovation with practical applications in energy systems and supercomputing.

• Biomedical Engineering
• Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Associate Professor Rifai Chai is a faculty member in the Department of Biomedical Engineering at the School of Engineering, Swinburne University of Technology. He serves as the Academic Director (Partnerships), reflecting his leadership in academic-industry collaboration. His research focuses on the intersection of biomedical engineering and artificial intelligence, with applications in brain-computer interfaces, medical technologies, robotics, and embedded systems. University: Swinburne University of Technology School: School of Engineering Department: Biomedical Engineering Position: Associate Professor Email: rchai@swin.edu.au His educational and professional background includes over a decade of experience in product development in hardware, firmware, and software design in Indonesia and Australia from 2000 to 2011. His research interests are extensive and include: Artificial Intelligence and Machine Learning Brain-Computer Interfaces Medical Device Design Assistive Technology (e.g., smart wheelchairs, exoskeletons) Cognitive Fatigue and Workload Monitoring Back Pain Assessment and Rehabilitation Embedded Systems EEG and Physiological Signal Processing Rifai Chai's recent publications demonstrate a strong focus on AI-driven healthcare solutions. His work spans advanced computational intelligence in medical imaging (e.g., lung cancer and thyroid cancer detection), EEG-based systems for driver fatigue and emotion classification, rehabilitation technologies using exoskeletons, and cybersecurity in industrial IoT. He employs deep learning, hybrid models (e.g., MLP-BiLSTM), and advanced signal processing techniques to solve real-world biomedical problems. His research consistently targets practical, non-invasive, and real-time applications in clinical and industrial settings. His scientific contributions include numerous high-impact publications in journals such as IEEE Access, Sensors, and Medical & Biological Engineering & Computing, as well as book chapters with Elsevier and Springer. He has secured multiple research grants from industry partners and the Australian Research Council, supporting projects in breast electromagnetic scanning, solar-powered charging poles, and haptically-enabled motion simulation. Rifai Chai actively supervises PhD and Master’s students, with current HDR projects covering areas such as brain-computer interfaces for prosthetics, cognitive workload monitoring, distracted driving detection, and AI in medical imaging. He leads a multidisciplinary research team working at the forefront of biomedical innovation. His lab integrates AI, robotics, and physiological sensing to develop technologies that improve health outcomes and human performance.

• Electronics Engineering
• VLSI Design
• Digital Signal Processing
• +۵ مورد دیگر

Stefania Perri is an Associate Professor of Electronics at the Department of Mechanical, Energy and Management Engineering (University of Calabria, Italy). She holds a PhD in Electronics Engineering from the University of Reggio Calabria and has been actively involved in research and teaching since 1996. Research Interests include: Quantum-Dot Cellular Automata (QCA) - Invented an efficient QCA adder design methodology with three theorems. Image Processing - Developed memory architectures for aerospace applications and stereovision systems on FPGA. Low-Power Circuits - Designed novel SRAM cells and validated sub-threshold logic models. High-Speed Arithmetic - Holds US Patent 7,016,932 B2 for carry propagation optimization. Scientific Contributions: Over 120 publications including 58 journal papers, 48 conference proceedings, 3 patents International Collaborations with University of Rochester (USA) and Idaho State University Awards: Best Paper Awards at CENICS 2016 and CENICS 2010 Bronze Leaf Certificate at IEEE PRIME'06 Multiple Invited Paper recognitions

Dunaev Dmitriyمشاهده پروفایل

دانشیار

• Hardware Security
• Physical Unclonable Functions (PUFs)
• Software Obfuscation
• +۳ مورد دیگر

Dmitriy Dunaev is an Associate Professor at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics. His research focuses on hardware security, particularly through Physical Unclonable Functions (PUFs), software obfuscation, and FPGA-based security solutions. Current position: Associate Professor Institution: Budapest University of Technology and Economics Department: Automation and Applied Informatics Research spans cryptographic security enhancement via configurable hardware designs, machine learning vulnerability analysis, and optimization of security protocols in embedded systems. Recent publications investigate temperature sensitivity, bit configuration in PUFs, and FPGA implementation challenges. Contact: dunaev@aut.bme.hu

Husam Al-Magsoosiمشاهده پروفایل

عضو هیئت علمی

• Hardware Security
• Physical Unclonable Functions (PUFs)
• Machine Learning in Security
• +۴ مورد دیگر

Husam Al-Magsoosi is an Assistant Research Fellow at the Budapest University of Technology and Economics , affiliated with the College of Engineering and the Department of Automation and Applied Informatics . His work focuses on hardware security, particularly in the development and analysis of Physical Unclonable Functions (PUFs) . Research Interests : Hardware Security, PUFs, FPGA Design, Machine Learning in Security, Embedded Systems, Wireless Sensor Networks. His recent publications highlight advancements in configurable ring oscillator PUFs, addressing security, performance optimization, and environmental factors like temperature sensitivity. He explores FPGA-based implementations and evaluates vulnerabilities to machine learning attacks. His work also extends to energy-efficient routing protocols for sensor networks and embedded system design. Scientific Awards : No specific awards mentioned in the provided data.

• Power System Analysis
• Renewable Energy
• Power Electronics
• +۷ مورد دیگر

Uğur Fesli is a Lecturer PhD at Gazi University's Vocational School of Technical Sciences, Department of Electronics and Automation, and Deputy Director of the Clean Energy Research and Application Center (Temenar). He holds a PhD in Energy Systems Engineering from Gazi University (2023), a postgraduate degree from Zonguldak Bülent Ecevit University (2009), and a bachelor's in Electrical Education from Gazi University (2006). Research Expertise Dr. Fesli's research spans power system optimization , renewable energy integration , and advanced control strategies for power electronics. His work focuses on electric vehicle charging infrastructure, grid stability, and efficient energy conversion, employing techniques like model predictive control and metaheuristic algorithms. Publication Trends His 11 recent articles (2023–2025) emphasize sustainable energy systems , with recurring themes in EV fast-charging technologies, fault-tolerant power converters, and microgrid control. Dominant methodologies include model predictive control (MPC), sliding mode control, and optimization algorithms applied to real-world power challenges. Projects & Leadership He leads multiple funded initiatives, including: Photovoltaic grid-connected quasi-Z source inverter performance comparison (2025–present) Wireless EV charging with dynamic alignment (2024–present) Smart transformer design for grids (2023–present) Cyber-physical attack detection via deep learning (2021–2025) Professional Engagement Active IEEE and IEEE Industrial Electronics Society member; peer-reviews for journals including IEEE Transactions on Industrial Electronics .