جست‌وجوی استاد و پژوهشگر

Yiorgos Tsiatouhasمشاهده پروفایل

استاد

• Analog and Digital VLSI Design
• Integrated Circuit Reliability
• Secure Computing Systems
• +۴ مورد دیگر

Yiorgos Tsiatouhas is a Professor in the Department of Computer Science and Engineering at the University of Ioannina. He holds a B.Sc. in Physics (University of Athens, 1990), M.Sc. in Informatics and Telecommunications (University of Athens, 1993), and Ph.D. in Informatics and Telecommunications (University of Athens, 1999). His research focuses on VLSI circuit design, reliability engineering, and secure computing. He teaches courses such as 'Electronics' (MYY404), 'VLSI Circuits' (MYE018), and 'Reliable Integrated Systems' (Y2), emphasizing topics like CMOS technology, radiation-hardened electronics, and testing methodologies. His research interests span secure computing architectures, fault-tolerant systems, and aging monitoring in integrated circuits. Recent work includes developing radiation-hardened latches, PUF-based security solutions for SoCs, and novel testing algorithms for phase-change memories. He has also contributed to visible light communication (VLC) systems, addressing challenges like anti-reflective obstacle detection and adaptive signal decoding in non-line-of-sight (NLOS) environments. Teaching activities include supervising student projects, maintaining an active lab for SPICE-based circuit simulation, and integrating industry-standard tools like Cadence into coursework. His lab focuses on designing and testing analog/digital circuits, emphasizing practical skills in SPICE simulation and layout design.

Stefan Lindskogمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +۷ مورد دیگر

Stefan Lindskog is a full Professor at the Department of Computer Science, Karlstad University, Sweden. His research focuses on tunable security services, network security protocols, intrusion detection systems, and encryption methodologies. He has held academic positions at Karlstad University since 1990 and holds a PhD in Computer Engineering from Chalmers University (2005) and a Docent degree in Computer Science from Karlstad University (2008). His work emphasizes practical cybersecurity solutions, including firewall usability, multipath TCP security, and privacy-preserving technologies. Lindskog has authored over 60 peer-reviewed publications, including studies on encrypted network traffic analysis, Tor anonymity vulnerabilities, and firewall rule optimization. He collaborates extensively with industry partners and academic networks, contributing to projects like the EU-funded NEWCOM++ initiative. Teaching: Real-Time Systems (7.5 ECTS) Key Research Themes: Security service tunability, adaptive intrusion detection, and secure communication protocols Collaborations: HITS project (High Quality Networked Services in a Mobile World) Publications span topics from malware detection in encrypted traffic to systematic reviews of firewall usability. Lindskog’s work bridges theoretical security models and operational system implementation, with a focus on real-world applicability in industries like offshore energy and mobile communications.

Hussam Amrouchمشاهده پروفایل

استاد

• AI Hardware Acceleration
• Emerging Nanoelectronics
• Cryogenic Circuits
• +۴ مورد دیگر

Prof. Hussam Amrouch is a Full Professor of AI Processor Design at the Technical University of Munich (TUM), leading the TUM School of Computation, Information and Technology. His research focuses on ultra-efficient embodied AI, reliable designs in emerging technologies, and cryogenic circuits for quantum computing. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (2015, Summa cum Laude) and previously led the "Dependable Hardware" group at KIT and the Chair of Semiconductor Test and Reliability at University of Stuttgart. He is affiliated with Munich Quantum Valley (MQV) and Munich Institute of Robotics and Machine Intelligence (MIRMI). Research interests include ferroelectric FETs, in-memory computing, cryogenic electronics, and neuromorphic systems. Key achievements include 10× HiPEAC Paper Awards, 3× DAC/DATE best paper nominations, and pioneering work on FeFET-based AI accelerators. His work bridges nanoelectronics with AI, addressing challenges in energy efficiency, reliability, and quantum integration. Publications span cutting-edge topics like cryogenic FinFETs, hyperdimensional computing, and monolithic 3D integration. He has developed novel testing methodologies, self-aware silicon systems, and energy-efficient architectures for edge-AI. Current projects explore cryogenic circuit design, radiation-resistant FeFETs, and carbon-efficient 3D neural networks. His awards reflect contributions to high-performance and embedded architectures. Research groups under his leadership focus on device-level innovations and system-level integration of emerging technologies. He actively contributes to interdisciplinary initiatives at MQV and MIRMI, advancing quantum computing and AI hardware frontiers.

• Esophageal Cancer
• Esophagectomy
• Abdominal Cancer
• +۵ مورد دیگر

Pieter van der Sluis serves as a Researcher in the Department of Surgery at Erasmus University Medical Center, Rotterdam, focusing on gastrointestinal malignancies and surgical interventions. His research expertise spans esophageal cancer management, esophagectomy techniques, and chemotherapy optimization. Key interests include survival analysis in abdominal cancers, postoperative complication reduction, and neoadjuvant therapy evaluation. His work bridges clinical practice and translational research in surgical oncology, with emphasis on evidence-based treatment protocols for upper gastrointestinal cancers. Recent publications demonstrate consistent focus on gastrointestinal oncology with recurring themes: novel chemotherapy regimens for peritoneal metastases, surgical outcome optimization in esophagectomy, and population-level analysis of cancer treatment efficacy. The research portfolio reflects strong international collaboration and methodological diversity spanning clinical trials, cohort studies, and health economic analyses.

• 5G and Beyond Radio Access Networks
• Mobility Management
• Over-the-Air Computation
• +۳ مورد دیگر

Dr. Semiha Tedik Basaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), where she has held this position since 2020. Previously, she was a Researcher at Ericsson (2019–2020), focusing on 5G/6G radio networks, and a Research Assistant at ITU (2012–2019). She also held visiting researcher roles at RWTH Aachen University (2017) and Alexander Technological Educational Institute of Thessaloniki (2018). Her research focuses on 5G/6G radio access networks , including mobility management , over-the-air computation , random network coding , and non-terrestrial networks . She has contributed to projects on 5G private networks, denial-of-service attacks, and secure communication protocols. Her work emphasizes practical implementations, including software-defined radio prototyping and hardware design. Education: B.Sc. in Electronics and Communication Engineering (Ranked 2nd, ITU, 2011) M.Sc. and Ph.D. in related fields (not explicitly stated, inferred from roles and awards) Dr. Basaran has received prestigious awards, including the IEEE Turkey Best PhD Dissertation Award (2019), Istanbul Technical University Best PhD Dissertation Award , and TUBITAK scholarships. She holds multiple patents on secure communication systems, network coding, and failure prediction algorithms. Her recent work explores terahertz networks , satellite-aided relaying , and AI-driven edge computing . She teaches Communications I and Mobile Communication Systems at the undergraduate and graduate levels, respectively.

Fredrik Strandمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Medical Imaging
• Breast Cancer Research
• +۳ مورد دیگر

Fredrik Strand is a researcher at the Karolinska Institute , specifically within the Department of Oncology-Pathology under the Faculty of Medicine . He leads the Computational Breast Imaging Group , focusing on leveraging Artificial Intelligence (AI) for early breast cancer detection , precision diagnostics , and image-guided minimally invasive procedures . His work spans cross-disciplinary collaboration with institutions like the Royal Institute of Technology (KTH) and involves major clinical trials such as ScreenTrustCAD and ScreenTrustMRI . His research emphasizes AI in precision screening to address interval cancers and optimize radiologist workflows. Projects like VAI-B and RadioVal aim to validate AI algorithms and predict therapy response for neoadjuvant treatment . Recent publications highlight advancements in multi-modality imaging (mammography, MRI), GAN-based synthetic data generation , and trustworthy AI frameworks for clinical deployment. A consistent focus is on cost-effectiveness , equity in AI diagnostics , and human-AI interaction dynamics . Key trends in his work include deep learning for tumor detection , reinforcement learning for screening policies , and multi-institutional validation of AI tools. His research is funded by organizations such as Medtechlabs , Vinnova , EU Horizon Europe , and the Swedish Breast Cancer Association .

Tanveer Ziaمشاهده پروفایل

استاد

• Cybersecurity
• Wireless Sensor Networks
• Internet of Things (IoT) Security
• +۶ مورد دیگر

Professor Tanveer Zia at Charles Sturt University is a leading researcher in cybersecurity, focusing on wireless sensor networks, IoT security, and privacy-preserving data sharing. He leads the Privacy-Preserving Data Sharing in Hyperconnected World research theme and serves as CSU lead in the Cyber Security Cooperative Research Centre (CRC). PhD in Information Technology from the University of Sydney Active in cybersecurity research for over 15 years Extensive publications on wireless sensor network security, biometric security, and cloud security His work spans human-centric cybersecurity , machine self-control , and biomedical signal processing . Recent projects include developing frameworks for local differential privacy and security awareness programs for regional NSW youth. Key article themes include: advanced privacy mechanisms, IoT vulnerabilities, and deep learning applications in biometric systems. Notably, he explores user-driven privacy and cyber diversity metrics for resilient systems. Scientific Awards Emerging Researcher Award (2010) Research Excellence Awards (2010, 2011) Leadership Excellence Award (2013) Academic Excellence Award (2014) Prof Zia supervises doctoral students in digital forensics and contributes to cybersecurity education. His media engagements include appearances on identity theft, computer scams, and youth cybersecurity initiatives.

• Machine Learning
• Federated Learning
• Data Mining
• +۴ مورد دیگر

Addi Ait-Mlouk is a Senior Lecturer in Informatics at the School of Informatics, University of Skövde. He holds a prominent role as a Course Coordinator for multiple Master's level courses, contributing to advanced education in informatics and technology. His research focuses on machine learning applications in federated learning, privacy-preserving technologies, and industrial automation. Current projects include ProcTwin , a digital tool development initiative for optimizing steel production processes through machine learning and sensor data integration (2025–2028). Key research interests span federated learning for healthcare diagnostics, edge computing optimization, and privacy-enhanced AI systems. His 2024 publications highlight advancements in federated learning for leukemia diagnosis and brain tumor classification, emphasizing ethical AI integration. Earlier work includes contributions to data mining methodologies for road safety and smart grid security. Collaborations involve industry partners like ABB, RISE, and ShiftLabs, focusing on additive manufacturing and industrial digital transformation. Addi actively participates in academic events such as the Sweden Game Conference and INGENIUM European University initiatives, promoting interdisciplinary innovation.

Felix Höflingمشاهده پروفایل

استاد

• Statistical Physics
• Biological Physics
• Molecular Dynamics
• +۳ مورد دیگر

Prof. Felix Höfling holds a W2 non-tenure professorship for 'High-performance computing in molecular dynamics' at Freie Universität Berlin (since 2015). He leads the Computational Statistical & Biological Physics group within the Department of Mathematics and Computer Science. Prior roles include research associate positions at the Max Planck Institute for Intelligent Systems (2010–2015), postdoctoral research at the University of Oxford (2009), and doctoral work at Ludwig-Maximilians-Universität München (2006, summa cum laude). His research focuses on computational methods in statistical and biological physics, including molecular dynamics simulations, anomalous transport in crowded environments, and high-performance computing. Notable contributions include studies on liquid-vapor interfaces, colloidal dynamics, and the interplay between microscopic and macroscopic transport phenomena. His work integrates theoretical modeling, numerical simulations, and interdisciplinary applications in soft matter and biophysics. Editorial Board Member of Communications Physics (since 2023) Director of the CECAM node 'Mathematics and Computation in Molecular Simulation' (since 2022) Head of the MSc Examination Board for Computational Sciences (since 2019) His research articles explore topics such as surface tension modulation, confined fluids, and active matter systems. Key achievements include a highly cited review on anomalous transport in biological cells (2013) and contributions to the development of the H5MD molecular data format. Awarded 'Distinguished Referee' by the European Physical Journal (2013) Recipient of grants for projects on open systems and parallel computing Prof. Höfling oversees the Computational Statistical & Biological Physics lab, emphasizing collaborative research in computational physics and interdisciplinary applications.

Armando Solar-Lezamaمشاهده پروفایل

استاد

• Program Synthesis
• Neurosymbolic Programming
• Machine Learning
• +۵ مورد دیگر

Armando Solar-Lezama is a Professor at the MIT Schwarzman College of Computing , Associate Director and COO of MIT CSAIL, and leads the Computer-Aided Programming Group . He earned his BS in Computer Science and Mathematics from Texas A&M University and PhD (2008) from UC Berkeley under Rastislav Bodik. His research focuses on program synthesis at the intersection of Programming Systems and Artificial Intelligence, with recent work on neurosymbolic programming. Education: BS (Texas A&M), PhD (UC Berkeley) Labs: CSAIL, Center for Deployable Machine Learning His research explores automated reasoning and learning to reduce programming effort, including the development of the Sketch programming language. Current neurosymbolic work combines deep learning with logical reasoning for applications in multi-agent systems, RNA splicing, and interpretable policy generation. Recent projects include VLMaterial for procedural asset generation and CRUXEval for code evaluation benchmarks. Scientific awards include: Robin Milner Young Researcher Award (2024) Best Paper (PLDI 2005, PPoPP 2016) Outstanding Paper (EMNLP 2023) He advises graduate students through MIT's EECS PhD program and has developed courses like 6.820 Foundations of Program Analysis and Program Synthesis . His work impacts software synthesis automation, programming language design, and deployable machine learning.

• Optical Networking
• Wireless Communications
• Vehicular Networks
• +۷ مورد دیگر

Dr. Wissam Fawaz is a professor-level academic with extensive contributions to optical networking, vehicular communication systems, and UAV-aided network solutions. His work spans over two decades, focusing on Quality of Service optimization , Free Space Optical (FSO) communications , and Mobile Edge Computing (MEC) . Key collaborations with Chadi Abou-Rjeily, Maurice Khabbaz, and Ken Chen Published in IEEE Transactions on Wireless Communications , IEEE Communications Magazine , and Computer Networks Research interests center on network reliability , resource allocation , and next-generation communication architectures . His work explores: UAV-based network repair mechanisms QoS differentiation in optical and vehicular networks Machine learning integration for MEC task offloading Buffer-aided cooperative FSO systems Recent publications (2022) demonstrate innovations in: Acoustic synchronization protocols D2D-enabled Het-MEC systems Lyapunov-optimized resource allocation

• Distributed Computing
• High-Performance Computing
• Distributed Shared Memory
• +۷ مورد دیگر

Tore Brox-Larsen is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. His work centers on distributed computing, high-performance systems, and large-scale visualization technologies. He is actively engaged in research involving sensor networks, Arctic observatories, and remote visualization of scientific data. His research interests span distributed shared memory systems, MPI performance, tiled display walls, and networked visualization. He has made significant contributions to improving communication efficiency in cluster computing and enabling scalable interactive visualization environments. His work bridges computer systems engineering with applications in genomics and environmental monitoring. The most recent publications reflect a strong trend toward real-world deployment of large-scale systems, particularly in Arctic observation and healthcare informatics. His work emphasizes practical system design, latency optimization, and cross-platform interoperability in distributed environments. Tore Brox-Larsen has collaborated extensively with researchers such as Otto Anshus, John Markus Bjørndalen, and Brian Vinter. While no formal advising or grant history is listed, his sustained publication record indicates active research leadership and team-based scientific inquiry. He has contributed to major projects including the development of a large-scale Arctic observatory sensor system and interactive tiled display walls. His work supports both academic research and societal applications in health and environmental science.

• Telecommunications
• Wireless and Mobile Communication Systems
• 5G and Beyond Networks
• +۱۲ مورد دیگر

Américo Manuel Carapeto Correia is a Full Professor and Deputy Director at the Department of Information Science and Technology (ISTA), ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, affiliated with the Radio Systems Group. His academic leadership includes serving as Director of ISTA (2010–2013, 2020), and multiple roles in academic governance such as member and Vice President of the Scientific Council. PhD in Electrical Engineering, Higher Technical Institute - UTL (1994) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1990) Bachelor’s in Electrical Engineering, Faculty of Engineering - Angola (1983) Aggregation in Information Sciences and Technologies, ISCTE (2006) His research focuses on telecommunications and mobile networks, particularly 5G, LTE-Advanced, femtocells, machine-type communications, and energy-efficient network design. His work bridges theoretical innovation with practical implementation in areas like agriculture (SMARTFARM4.0), aerial surveillance (SAAS), and multimedia services (COILS, C-MOBILE). The recent articles supervised reflect a strong trend toward 5G private network planning across diverse sectors including healthcare, energy, transportation, and government. Emerging topics include Reconfigurable Intelligent Surfaces (RIS) for 6G and AI-driven robotics in healthcare, indicating forward-looking research aligned with next-generation wireless systems. He has led multiple research projects funded by national and international consortia, including: SMARTFARM4.0 (2020–2023): Smart agriculture solutions SAMEQoE (2017–2019): Quality of Experience optimization in mobile networks VELOCE-MTC (2016–2018): Low-latency machine-type communications ADIN (2013–2015): Infrastructure-less wireless networks NEUF (2012–2014): LTE-Advanced with femtocells SAAS (2012–2014): UAV control via terrestrial networks Américo Correia has advised 36 master’s students and 3 doctoral candidates, demonstrating a strong commitment to academic mentorship. He teaches core courses such as Wireless and Mobile Communication Systems, Advanced Mobile Communication Systems, and Research Methods at both master’s and PhD levels. He leads the PhD course on Management of Research Projects, emphasizing research leadership and innovation. His lab affiliations include the Radio Systems Group at IT-Iscte, a key hub for wireless systems research in Portugal.

Elsie Duffمشاهده پروفایل

دانشیار

• Substance Use
• Nurse Practitioner Practice
• Nursing Education
• +۷ مورد دیگر

Elsie Duff is an Associate Professor in the College of Nursing at the University of Manitoba, Rady Faculty of Health Sciences, where she also practices as a nurse practitioner in a virtual primary care setting. She is actively involved in interdisciplinary research and holds affiliations with the Canadian Research Initiative in Substance Misuse (CRISM) Prairie Node and the Farmer and Rancher Mental Health (FARMh) Initiative. She serves on the editorial board of The Journal for Nurse Practitioners and has held leadership roles with the College of Registered Nurses of Manitoba and the Nurse Practitioner Association of Manitoba. Education: PhD, Western University Advanced Nursing, Athabasca University Master of Education, University of Manitoba Bachelor of Science in Nursing, Brandon University Dr. Duff's research centers on substance use, nurse practitioner practice, nursing education, and health human resources. She employs advanced methodologies such as health data linkage, GIS mapping, infographic development, and mixed-methods data collection (qualitative, quantitative, content mapping). Her work addresses critical gaps in healthcare access, particularly in opioid agonist therapy (OAT) delivery in the Prairie provinces. The recent publications highlight a growing focus on expanding access to OAT through nurse practitioners, especially in rural and underserved areas. Her studies combine policy analysis, clinical practice insights, and systems-level research to improve treatment availability and reduce opioid-related harms. This trend underscores a commitment to optimizing the nurse practitioner role within Canada’s healthcare system. Scientific Awards: Queen Elizabeth II Diamond Jubilee Medal (2012) Canadian Nurses Foundation Ann Beckingham Award (2015) Dr. Duff advises graduate students at both the Master’s and PhD levels and is currently accepting new students. She has led CIHR-relevant research initiatives and secured funding through the CRISM node to support policy-oriented studies on healthcare workforce adaptation and system organization. Her research has direct implications for healthcare delivery models and workforce planning in substance use treatment. She is a core member of the CRISM Prairie Node and contributes to the FARMh Initiative, focusing on mental health in agricultural communities. Her collaborative research teams include experts from social work, pharmacy, rehabilitation sciences, economics, and policy analysis, reflecting a strong interdisciplinary approach to complex health challenges.

Peter Münchمشاهده پروفایل

پژوهشگر

• High-performance computing
• Matrix-free computations
• Iterative solvers
• +۷ مورد دیگر

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.