جست‌وجوی استاد و پژوهشگر

Arsenia CHORTIمشاهده پروفایل

استاد

• 5G/6G Networks
• Wireless Security
• Physical Layer Security
• +۶ مورد دیگر

Dr. Arsenia CHORTI is a Full Professor at École Nationale Supérieure d'Électronique et de ses Applications (ENSEA), affiliated with the ETIS laboratory and the Barkhausen Institut. She specializes in 5G/6G wireless systems, with a focus on physical layer security, network security, and secure communication protocols. Her research addresses challenges in authentication, confidentiality, and integrity in next-generation networks. Teaching responsibilities include Digital Communications, Cryptography fundamentals, and IoT security. She actively contributes to IEEE initiatives, serving as Chair of the Physical Layer Security Focus Group and TPC Chair for IEEE ICC 2023. Her publications (over 120 articles) emphasize practical security solutions for 6G, including AI/ML-driven security frameworks and physical layer authentication protocols. Key affiliations: ETIS Lab, Barkhausen Institut Editorial roles: IEEE ComSoc Best Readings Research foci: Secret key generation, secure slicing, jamming mitigation, and physical layer cryptography Her work bridges theoretical security principles with real-world implementations, addressing emerging threats in IoT, vehicular networks, and cyber-physical systems.

• Fault-Tolerant Computing
• Asynchronous Circuits
• Digital System Design
• +۳ مورد دیگر

Florian Ferdinand Huemer is a PostDoc Researcher at the Embedded Computing Systems department (E191-02 Faculty Council Substitute Member) within the Faculty of Informatics at Vienna University of Technology. His work focuses on fault-tolerant asynchronous circuits, delay-insensitive communication protocols, and FPGA reliability analysis. BSc , Vienna University of Technology Dipl.-Ing. , Vienna University of Technology Dr.techn. , Vienna University of Technology Key research areas include: Fault-Tolerant Computing : Designing systems resilient to transient faults and radiation effects. Asynchronous Circuits : Developing quasi-delay-insensitive logic and Muller pipelines. Embedded Metrology : Applying polarization cameras and time-to-digital converters for industrial measurements. Recent publications address: 2024 : Polarization camera-based inline thickness measurement and FPGA ring oscillator synchronization. 2023 : Mitigating single-event transients in QDI logic. 2021 : Automated fault-injection frameworks and QDI pipeline sensitivity analysis. Projects funded by the Austrian Science Fund (FWF) during 2013-2018 explored self-stabilizing Byzantine fault-tolerant algorithms. Supervisions include: Haschke (2024): QDI adder comparison Spitzer (2024): Automated fault-injection framework Schwendinger (2022): Asynchronous circuit testing tools Pircher (2022): Smart SoC testing via IJTAG Behal (2021): QDI design template fault sensitivity

Avraham Leffمشاهده پروفایل

استاد پژوهشی

• Computer Science
• Software Engineering
• Algorithms
• +۳ مورد دیگر

Avraham Leff is a Research Professor in Computer Science at Yeshiva University's Katz School of Science and Health. He holds a PhD and undergraduate degree from Columbia University's Computer Science program. Previously, he spent 25 years at IBM's T.J. Watson Research Center as a Research Staff Member, focusing on application development productivity, algorithms, and middleware systems. He has authored 44 publications and holds 25 patents with additional pending applications. Education: PhD in Computer Science, Columbia University Bachelor's Degree in Computer Science, Columbia University Research Interests: Avraham's work bridges research and advanced product development, emphasizing innovative tools for application development, performance optimization through new algorithms, and middleware systems. His recent focus includes cross-system resource integration, adaptive messaging systems, healthcare coordination platforms, and distributed transaction management. Recent Courses Taught: Database Implementation (COM 3563), Introduction to Algorithms (COM 2545), Design & Analysis of Algorithms (COM 2546), Modern Data Management (COM 3580), Parallel Programming (COM 3820). His patent portfolio includes innovations in web transaction recovery, intermittent connectivity handling, and data synchronization systems. His articles reflect expertise in distributed systems, middleware architectures, and healthcare informatics.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Benjamin Volmer is a Lecturer at the UniSA STEM division of the University of South Australia. His research focuses on cognitive load reduction in augmented reality (AR) and virtual reality (VR) environments through predictive cue design, human-computer interaction (HCI), and neural response analysis using electroencephalography (EEG). Current Lecturer at University of South Australia Research Degree Supervisor Member of Wearable Computer Lab Collaborator with international institutions Research Trends: Recent publications analyze incongruent information processing in AR systems, multi-level precueing for procedural tasks, and brain-computer interface (BCI) applications in immersive environments. His work demonstrates how EEG metrics and ERP components (e.g., N400, P600) can optimize AR/VR interfaces. Grants: Supported by Australian Research Council (ARC DP180100755) and TU Graz Open Access Publishing Fund. Collaborative efforts span institutions including Columbia University, University of Tokyo, and Keio University. Labs & Collaborations: Affiliated with the Wearable Computer Lab and Australian Research Centre for Interactive and Virtual Environments at the University of South Australia. International partnerships include Graz University of Technology, Columbia University, and Keio University.

• Coding Theory
• Quantum Error Correction
• Combinatorics
• +۳ مورد دیگر

Yuichiro Fujiwara is a Visiting Associate Professor in the Mathematics department of the Division of Physics, Mathematics and Astronomy at the California Institute of Technology. His research focuses on combinatorial design theory and its applications to coding theory, quantum error correction, and information systems. He explores topics such as difference systems of sets, LDPC codes, X-codes, and quantum synchronizable codes, with an emphasis on optimizing code structures and analyzing their asymptotic properties. His work integrates advanced mathematical techniques from combinatorics, graph theory, and algebra to address challenges in error correction, synchronization mechanisms, and high-rate communication systems. Fujiwara's research has implications for both classical and quantum information processing, aiming to enhance reliability and efficiency in data transmission and storage systems. Key research trends in his articles include developing codes with improved asymptotic rates, analyzing stopping sets in LDPC codes, and designing quantum-resistant synchronization protocols. His contributions bridge theoretical combinatorics with practical engineering applications, particularly in the realm of quantum computing and advanced communication technologies.

• Inverse Problems
• Partial Differential Equations
• Applied Mathematics
• +۳ مورد دیگر

David Johansson is a Researcher in the Department of Mathematics and Statistics at the University of Jyväskylä, affiliated with the Faculty of Mathematics and Science. He is part of the Inverse Problems research group, which focuses on mathematical theory and practical implementation of indirect measurements. His work spans theoretical and applied mathematics, with a focus on inverse problems, partial differential equations, and computational methods. Research interests include inverse problems for PDEs, corrosion detection via boundary condition analysis, and parameter identification in heterogeneous media. He has also contributed to network optimization, including energy-efficient virtual network function placement and robustness strategies in telecommunications. His earlier work includes contributions to coding theory using graph-based approaches and Galois fields. Publications highlight interdisciplinary applications of mathematics, bridging pure and applied domains. No scientific awards are explicitly mentioned, but his active research output reflects sustained contributions to these fields. His position involves collaborative research within the Inverse Problems group and academic outreach through publications.

Jinsub Kimمشاهده پروفایل

دانشیار

• Machine Learning
• Power Systems
• Security
• +۳ مورد دیگر

Jinsub Kim is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on statistical signal processing, machine learning, and their applications in power systems and security. He earned a Ph.D. from Cornell University and a B.S. from KAIST. His work addresses challenges in cyber-physical systems, including adversarial detection and robust state estimation for energy grids. Education: Ph.D., Electrical and Computer Engineering, Cornell University (2014) B.S., Electrical Engineering, KAIST (2007) Research Interests: Security of machine learning, power system cybersecurity, statistical inference, optimization for renewable energy integration, and signal processing for cyber-physical systems. His recent work explores GPS spoofing attacks on power grid sensors and adversarial robustness in AI systems. Recent Contributions: His publications emphasize securing critical infrastructure through advanced signal processing and machine learning techniques. Notable work includes sparse error correction frameworks for power systems and probabilistic defenses against adversarial attacks. Professional Activities: Served as co-chair of the Data Analytics and Computation symposium at IEEE SmartGridComm 2020. Active in IEEE Signal Processing Society, including chapter leadership roles. Advising & Grants: Advised doctoral student Sharmin Kibria, who won a student paper award at IEEE GlobalSIP 2018. Research supported by grants focused on power system security and machine learning applications.

• Operations Research
• Distributed Computing
• Linear Programming
• +۹ مورد دیگر

Mohammad Ali Raayatpanah is an Associate Professor in the Department of Mathematical and Computer Sciences at Kharazmi University, Iran. He served as a Visiting Scientist at the Montpellier Advanced Knowledge Institute on Transitions, hosted by the Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) from September 2024 to July 2025. Education: B.Sc. in Applied Mathematics from Kashan University, Iran (2004) M.Sc. in Applied Mathematics from Tehran University, Iran (2006) Ph.D. in Applied Mathematics from Tehran University, Iran (2013) Research Focus: Dr. Raayatpanah specializes in operations research and distributed computing, with expertise spanning linear/integer programming, network flows theory, communication networks, and network coding. His work extends to sustainable food supply chains, integrating food safety, environmental concerns, and uncertainty analysis through mathematical programming. His current research project addresses 'Mathematical Programming and Robust Optimization Techniques for Resilient and Sustainable Green Food Supply Chains'. Publication Trends: Analysis of his 2018-2025 publications reveals consistent emphasis on robust optimization for network design, particularly in wireless networks (Wireless Body Area Networks, vehicular networks) and healthcare systems. His work systematically addresses energy efficiency, resilience under attacks/uncertainty, and mathematical programming applications across supply chains and telecommunications, demonstrating methodological rigor in handling parameter uncertainty. Research Environment: During his fellowship, he collaborated at LIRMM, leveraging their infrastructure for network optimization research. His work bridges theoretical operations research with practical applications in critical infrastructure and sustainability challenges.

• Complex Systems
• Theoretical Biology
• Statistical Physics
• +۱ مورد دیگر

Aniello Lampo is an Assistant Professor in the Department of Mathematics at Carlos III University of Madrid, where he researches complex systems within the Complex Systems Interdisciplinary Group (GISC). His work spans theoretical biology, statistical physics, and network science. His research investigates emergent phenomena in biological and urban systems, including microbial community dynamics, plant-pollinator networks, and urban congestion patterns. Recent publications reveal new macroecological patterns beyond Taylor's law and analyze structural dynamics in mutualistic ecological networks. Publications demonstrate consistent interdisciplinary approaches, combining theoretical physics with biological applications. Earlier quantum physics research includes polaron dynamics, quantum thermometry, and non-Markovian systems, showing broad theoretical expertise. No scientific awards or advised students are documented. He contributes to understanding complex adaptive systems through mathematical modeling and computational approaches at the physics-biology interface.

Juan Jose Vegas Olmosمشاهده پروفایل

استاد مدعو

• Photonics
• 5G
• Network Security
• +۷ مورد دیگر

Juan Jose Vegas Olmos serves as an Adjunct Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design, Denmark. His research and academic activities are centered in Copenhagen (Frederikskaj 12, 2450 København SV) with email contact olmos@es.aau.dk. His research spans Photonics, 5G networks, Network Security, High-Performance Computing, and Quantum Communications. Key contributions include Bit Error Rate optimization, Spectral Efficiency enhancement, and Multiuser Systems design, with fingerprint analysis showing strong emphasis on Photonics (89%) and 5G (79%). His work bridges theoretical concepts like Multiplexing with practical applications in data center infrastructure. Recent publications (2024) demonstrate a clear trajectory toward secure, high-speed data center technologies, focusing on DPU acceleration, quantum-resilient communications, and MPI optimization. These works reveal increasing integration of Hardware-Software co-design for network performance. He actively supervises PhD candidates including Jerónimo Sánchez García and Dimosthenis Iliadis-Apostolidis (since 2023). His project involvement includes the 2020 Danish-Japanese Network on Security and Cyber-security in Networks, addressing critical infrastructure challenges in Network Monitoring and Data Integrity.

• Quantum Computing
• Condensed Matter Physics
• Theoretical Physics
• +۳ مورد دیگر

Dr. Alessio Calzona is affiliated with the Theoretical Physics IV department at the University of Würzburg. Previously a Temporary Lecturer and Postdoctoral Researcher (2019-2022) in the same department, his research focuses on quantum computing, topological materials, and superconductivity. He holds a B.S. (2013) and M.S. (2015) from the University of Genova, Italy, and a Ph.D. (2018) from the University of Luxembourg and University of Genova. His work bridges theoretical physics with experimental realizations, emphasizing noise-resilient quantum systems and error mitigation strategies. Research interests include quantum error correction, superconducting qubit architectures, and topological phenomena in condensed matter systems. Notable contributions address fermionic simulations, multi-layer cycle benchmarking, and fractionalized entanglement dynamics. His postdoctoral studies explored quantum hardware optimization and topological superconductors. While no awards are listed, his publications reflect a strong focus on advancing near-term quantum technologies. Calzona collaborates with Professors Trauzettel and Hankiewicz, contributing to the Theoretical Physics IV group’s initiatives in quantum computing and topological materials. His work often intersects with experimental efforts, aiming to translate theoretical insights into functional quantum devices.

• Business Process Management
• Workflow Systems
• Healthcare Informatics
• +۳ مورد دیگر

Nicholas Russell is an active academic researcher specializing in business process management, workflow systems, and collaborative information systems. His work bridges computer science and organizational behavior, with a focus on workflow automation frameworks like YAWL and BPMN standards. He has collaborated extensively on healthcare process optimization, digital transformation in business networks, and future mobility solutions through design-led innovation. Key contributions include co-authoring the definitive guide on workflow patterns and developing methodologies for process adaptability in dynamic environments. His research spans 15+ years with impactful publications in journals like Australasian Journal of Educational Technology and conferences such as BPM and ECIS. Russell's work emphasizes practical applications of theoretical frameworks in sectors ranging from healthcare to transportation. His recent focus includes exploring online communities' role in knowledge sharing (2018) and designing networked business models for disruptive markets (2016). While no formal awards are listed, his extensive publication record reflects sustained academic contribution in process automation and collaborative systems.

• Information Security
• Cybersecurity
• Human Factors in Security
• +۳ مورد دیگر

Malcolm Pattinson is a researcher at the University of Adelaide, focusing on information security , human factors in cybersecurity , and risk management . His work explores the psychological and organizational aspects of security, including phishing susceptibility, burnout in cybersecurity professionals, and the design of effective security training programs. Research Interests: His research primarily addresses how human behavior impacts information security, with specific emphasis on security awareness , trust in technical controls , and organizational culture . He has developed validated tools like the Human Aspects of Information Security Questionnaire (HAIS-Q) to measure security attitudes and behaviors across diverse sectors, including healthcare, banking, and government organizations. Article Trends: Over his career, Pattinson has consistently investigated human-centric security risks , such as phishing and unintentional breaches, while advocating for personalized training and resilience-building strategies to mitigate these threats. His recent work examines burnout and workplace stress in cybersecurity roles, highlighting the intersection of mental health and organizational security.

Ayesha Khalidمشاهده پروفایل

مدرس ارشد

• Hardware Security
• Post-Quantum Cryptography
• Lattice-Based Cryptography
• +۵ مورد دیگر

Dr. Ayesha Khalid is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast (QUB), leading research in post-quantum cryptography within the Centre for Secure Information Technologies (CSIT). She holds a PhD from RWTH Aachen University (Germany), supported by a DAAD scholarship. Her expertise focuses on secure, efficient hardware/software implementations of lattice-based cryptography for embedded systems and IoT devices. Key research contributions include developing timing-attack resilient Gaussian samplers, lightweight post-quantum schemes for constrained environments, and hybrid quantum-safe communication protocols. She has led EU H2020 projects (SAFECrypto) and Innovate UK initiatives (AQuaSec), and collaborates with institutions like Rolls-Royce and Purdue University. Her work addresses vulnerabilities in cryptographic hardware through side-channel analysis and fault injection countermeasures. Dr. Khalid is an IEEE Senior Member, IACR member, and serves on technical committees for conferences like VLSI-SoC and ISCAS. Awards include the EEECS Teaching Fellowship (2017). She actively contributes to standards development and has delivered tutorials at FPL 2022 and Schloss Dagstuhl seminars. Her research bridges theoretical cryptography with practical implementation challenges in the quantum era. Education: PhD (Magna Cum Laude) in Applied Cryptography from RWTH Aachen University Key Projects: EPSRC UK Quantum Communications Hub, Rolls-Royce Cyber Security Collaboration Expertise: FPGA-based cryptographic accelerators, post-quantum algorithm hardening, and secure embedded systems design

• Agricultural Water Management
• Soil Hydrology
• Irrigation Systems
• +۳ مورد دیگر

Reinhard Nolz is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Institute of Soil Physics and Rural Water Management . His work focuses on optimizing irrigation strategies, soil water monitoring, and hydrological modeling to ensure sustainable water use in agriculture. Research Highlights Developed climate-resilient irrigation frameworks Advanced lysimeter-based water balance studies Integrated sensor networks for real-time soil moisture Validated evapotranspiration models Conducted international agricultural hydrology collaborations Publications 20+ peer-reviewed articles (2009-2024) on irrigation technology Key contributions to Acta Hydrologica Slovaca and Die Bodenkultur Service Editorial Board Member: Acta Hydrologica Slovaca (2017-2020) Peer reviewer for Geoderma , Journal of Hydrology