جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• Memory Systems
• Multicore Architectures
• +۳ مورد دیگر

Georgios Keramidas is an Assistant Professor in Computer Architecture at the Department of Informatics, Aristotle University of Thessaloniki . He also holds an Adjunct Professor position at the Hellenic Open University and collaborates with institutions like the University of Peloponnese and University of Patras . Research Interests : Computer Architecture, Memory Systems, Multicore/GPU Design, Low-Power Techniques, Fault-Tolerant Systems His work focuses on cache optimization , energy-efficient computing , and security-aware memory design . Key contributions include DVFS frameworks , reuse-distance prediction , and non-deterministic cache mechanisms . Recent article trends highlight innovations in computation-in-memory , IoT platform components , and security/low-power co-design . Patents on image compression and GPU optimization reflect practical applications of his research. Academic Network : Collaborates with institutions including University of Patras , University of Manchester , and TU Dresden

Stavros Tripakisمشاهده پروفایل

دانشیار

• Formal Methods
• Computer-Aided Verification and Synthesis
• Safety-Critical Systems
• +۴ مورد دیگر

Stavros Tripakis is an Associate Professor at the Khoury College of Computer Sciences at Northeastern University , where he joined in 2018. He is on sabbatical during the 2024-2025 academic year. His research focuses on the foundations of software and system design , emphasizing formal methods , computer-aided verification and synthesis, with applications to safety-critical, embedded, and cyber-physical systems, security, and trustworthy AI. He leads a group developing theory and tools for designing better systems. Recent publications explore distributed protocol synthesis, neural network verification, and inductive invariant inference, reflecting trends in formal methods for AI and distributed systems. His work often intersects with automated reasoning, model checking, and tool development. Scientific awards include the Distinguished Artifact Award at TACAS 2018 for the Refinement Calculus of Reactive Systems (RCRS) toolset. He advises Derek Egolf , Daniel Melcer , and William Schultz (graduated 2025). Former postdocs include Rômulo Meira-Góes (now Penn State) and Eunsuk Kang (now CMU). Current projects include the NSF FMitF grant (2023-2027) on safe multi-agent reinforcement learning and the NSF SaTC grant (2018-2022) on protocol design.

• Signal Processing
• Electromagnetics
• Microwave and Antenna Technologies
• +۴ مورد دیگر

Prof. Dr. Özgür Özdemir is a faculty member at Istanbul Technical University , where he serves in the Department of Electronics and Communication Engineering within the College of Engineering. He earned his PhD from the New Jersey Institute of Technology in 2000. Research Interests : Signal Processing, Electromagnetics, Microwave & Antenna Technologies, Biomedical Imaging Technical Expertise : Photoacoustic Imaging, Microwave Imaging, Antenna Design, Terahertz Engineering His recent publications demonstrate a strong focus on photoacoustic imaging (4 out of 15) with applications in immune cell characterization , drug treatment analysis , and medical imaging physics . He also contributes to antenna engineering with 3 publications on Vivaldi antennas , patch arrays , and reconfigurable surfaces . His work spans microwave imaging (3 publications) and acoustic modeling (2 publications). Active Research Projects : Gold Nanoparticles in Photoacoustic Tomography (2025-2026, BAP) Photoacoustic-Guided Photothermal Therapy for Solid Tumors (2025-2028, BAP) Oxygen Saturation Detection via Photoacoustic Tomography (2024-2025, BAP) In vitro Effects of Therapeutic Agents on Eosinophils (2024-2026, BAP) Phantom Development for Photoacoustic Tomography (2024-2025, TUSEB) Photoacoustic Systems for Skin Cancer Diagnosis (2020-2023, TUBITAK) Drone-based SAR for Environmental Imaging (2020-2021, BAP) Collaboration Network : International cooperation in biomedical imaging and microwave engineering, with recent work in layered media acoustics , spiral actuators for endomicroscopy , and sparsity regularization techniques .

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

• optical networks
• 5G transport networks
• energy efficiency
• +۵ مورد دیگر

Lena Wosinska is a Research Professor at Chalmers University of Technology, specifically in the field of Optical Networks since June 2019. Prior to her current position, she served as a Professor of Telecommunications at KTH Royal Institute of Technology, where she established and directed the Optical Networks Lab.

Claire Hargreavesمشاهده پروفایل

پژوهشگر ارشد

• Social Justice
• Inequalities
• Farming Communities
• +۶ مورد دیگر

Claire Hargreaves is a Research Fellow at the Department of Sociology, School of Social Sciences, Lancaster University . Her work bridges social justice, inequalities, and data science, focusing on vulnerable communities in farming, criminal justice, family law, and health/social care . Current ESRC-funded fellowship: Analyzing farming households in England/Wales via AD|ARC data Co-Investigator on NIHR grants: Women’s social care in prison, social care post-release Previous roles: Home Office placement, visiting fellowship at Statistics Norway Research Themes : Social Justice & Inequalities : Focus on farming households, imprisoned women, and family court participants Data Linkage : Integrating datasets like FDAC, Cafcass, and Police National Computer Policy Impact : Highlighting gaps in agricultural, criminal, and prison care policies Grants & Awards : ESRC Fellowship (2024, £189k) NIHR Grants (2015–2024, £346k–£438k) Seedcorn Funding (2021, £5k) Key Contributions : Exposed socio-economic/health vulnerabilities in family courts Evaluated recidivism via Norwegian population data Advocated for inclusive agricultural policies via ADR UK blog

Kadri Can Atliمشاهده پروفایل

دانشیار

• Shape Memory Alloys
• Additive Manufacturing
• High-Temperature Materials
• +۳ مورد دیگر

Kadri Can Atli serves as an Instructional Associate Professor and Assistant Undergraduate Program Director in the Department of Materials Science & Engineering at Texas A&M University, with office location RDMC 228 and contact email catli@tamu.edu. His research focuses on advanced metallic materials , specializing in Shape Memory Alloys (particularly NiTi-based systems and high-temperature variants) and Additive Manufacturing techniques including laser powder bed fusion and directed energy deposition. His work spans alloy design, microstructural engineering, and thermomechanical characterization for applications in thermal energy storage, actuation systems, and structural components. He integrates experimental methods with computational approaches such as Bayesian optimization and artificial intelligence to optimize material performance and discover novel alloys. Analysis of his recent publications reveals a dominant trend in leveraging additive manufacturing for creating defect-free and functionally graded shape memory alloys, with significant emphasis on NiTiHf systems for high-temperature applications. His work increasingly incorporates data-driven methodologies for alloy design while addressing critical challenges in phase transformation control, thermal hysteresis reduction, and cyclic stability for energy and aerospace systems.

Qi Zhengمشاهده پروفایل

استاد

• Mathematical Modeling of Biological Processes
• Applied Stochastic Processes
• Application of Computer Algebra
• +۱ مورد دیگر

Qi Zheng is a Professor at Texas A&M University's Department of Epidemiology & Biostatistics, with research interests in Mathematical Modeling of Biological Processes, Applied Stochastic Processes, Application of Computer Algebra, and Estimation of Microbial Mutation Rates. He holds a PhD in Statistics (1993) and a BA in Mathematics (1982) from Zhejiang University. Education: PhD in Statistics from Texas A&M University (1993), BA in Mathematics from Zhejiang University (1982) Research Interests: Mathematical Modeling of Biological Processes, Applied Stochastic Processes, Application of Computer Algebra, Estimation of Microbial Mutation Rates Teaching Interests: Biostatistics, Categorical and Longitudinal Data Analysis, Statistical Computing Contact: qzheng@tamu.edu | Phone: 979.436.9398 Recent publications focus on swarm robotics, mixed-reality interfaces, and reconfigurable robotic mechanisms. Key themes include entropy-based consensus algorithms for artificial swarms, adaptable sensorimotor systems for human-swarm interaction, and innovative designs for multiterrain locomotion and robotic grasping. These works bridge theoretical stochastic modeling with practical applications in robotics and computational systems.

Sebastien Pillementمشاهده پروفایل

مدرس

• Computer Engineering
• Embedded Systems
• Computer Architecture
• +۳ مورد دیگر

Sébastien Pillement is a Lecturer at Polytech'Nantes, the College of Engineering of the University of Nantes, and a member of the ASIC research team within the IETR UMR 6164 laboratory. His career spans over 13 years at the IUT of Lannion (University of Rennes 1) before joining the University of Nantes in 2012. He holds a PhD in Computer Science from the University of Montpellier II (1998) and a Habilitation à Diriger des Recherches (HDR) from the University of Rennes 1 (2010). Current Research Focus: Dynamically Reconfigurable Architectures (DRA), Hardware Security, Fault-Tolerant Embedded Systems, NoC (Network-on-Chip), Design Methodologies. Teaching Areas: Digital Circuits, Computer Architecture, Operating Systems, Real-Time Systems, and Algorithms for Embedded Computing. His research explores flexible and efficient architectures for embedded systems, emphasizing real-time management, reliability, and security. Key article trends include RISC-V processors, neural network acceleration on MPSoC, formal verification of arithmetic circuits, and runtime FPGA scheduling. Collaborations span international institutions like the University of Toronto and CEA, as well as industrial partners such as STMicroelectronics and Thales. PhD Students : Current: Laureline Dubucq (Security & AI), Mustafa Ibrahim (Ultra-Low Power AI), Téo Biton (Runtime Anomaly Detection), Mohamed Amine Zhiri (Adaptive NoC), Juliette Pottier (RISC-V Protection). Graduates: Quentin Dariol (Neural Network Timing), Alexis Duhamel (FPGA Scheduling), Safouane Noubir (Security in Multi-Core Systems), Hai Dang Vu (Probabilistic Timing Analysis), David Pallier (Sensor Clock Synchronization). Projects : Current: ADAPTING (2023-2029), FITNESS (2023-2027), SEC-V (2022-2025), NOP (2021-2025). Past: SPARTE (2015-2018), ARDyT (2011-2015), FosFor (2008-2011).

• Reconfigurable systems
• System reliability
• Embedded systems
• +۴ مورد دیگر

Oana AMĂRICĂI-BONCALO is a Professor at the Computer and Information Technology Department of University Politehnica Timisoara. She holds a Dr. Habil. Eng. degree and has served as Assistant Professor, Lecturer, and Associate Professor since 2009. Her research focuses on reconfigurable systems, system reliability, embedded systems, and forward error correction with FPGA applications. Education: Engineering Degree (2006) and PhD in Computer Engineering (2009), both from University Politehnica Timisoara. She was an invited researcher at University College Cork (2012) and University of Cergy-Pontoise (2016). Since 2017, she has been an Editor for Microprocessor and Microsystems (Elsevier). Research projects include GEMSCLAIM (green energy management in mobile systems). She supervises PhD student Andrei-Bogdan MIHĂILESCU. Recent publications emphasize LDPC decoding architectures, FPGA-based solutions, and reliability assessment in quantum circuits. Notable contributions include innovations in layered decoding algorithms, memory optimization for LDPC decoders, and one-hot data representation techniques. Her work intersects VLSI design, digital signal processing, and embedded systems reliability. Event organization includes a 2024 workshop on audio-video technical solutions and participation in IEEE symposiums. She contributes to academic events like the Mobile Applications Student Contest (SCMUPT).

• Manufacturing Automation
• Virtual Engineering
• Production Control and Monitoring
• +۱۶ مورد دیگر

Radmehr Monfared is a Senior Lecturer in Intelligent Automation at Loughborough University, affiliated with the EPSRC Centre for Innovative Manufacturing in Intelligent Automation. His work focuses on robotics, virtual engineering, and smart manufacturing systems. BSc in Mechanical Engineering (1988, Amirkabir University) MSc in Computer Integrated Manufacturing (1994, Loughborough University) PhD in Modelling of Cell Control Systems (2000, Loughborough University) Research interests center on manufacturing automation , virtual engineering , production control , and business analysis , with recent work spanning smart manufacturing , ontology-based systems , and blockchain integration in supply chains. Articles highlight neural networks , energy optimization , and human-centered robotics . Scientific recognition includes FIMechE (Fellow of the Institution of Mechanical Engineers) and CEng (Chartered Engineer) certifications.

Shawn Sederbergمشاهده پروفایل

استادیار

• Photonics
• Quantum Electronics
• Nanophotonics
• +۵ مورد دیگر

Shawn Sederberg is an Assistant Professor in the Department of Engineering Science at Simon Fraser University's Faculty of Applied Sciences. He holds a PhD and BSc in Engineering Physics from the University of Alberta (2014 and 2007, respectively). Prior to his faculty position, he was a Research Associate at the University of Ottawa (2017–2021) and a Banting Postdoctoral Fellow at the Max Planck Institute of Quantum Optics (2014–2017). His research focuses on advanced photonics, including unique laser sources, coherent control, attosecond metrology, structured light, quantum electronics, and nanophotonics . He teaches courses in lasers, optoelectronics, and computational electromagnetics, including ENSC 470 (Optical and Laser Engineering Applications) and ENSC 324 (Electronic Devices). His recent work emphasizes ultrafast optical phenomena, terahertz generation, and structured-light-driven systems. Notable contributions include coherent control of terahertz magnetic impulses and attosecond optoelectronic metrology in solids. Over 35 peer-reviewed publications highlight his expertise in nonlinear optics and optoelectronic devices. No scientific awards are explicitly listed in the provided materials. Research grants and advising activities are not detailed here, but his active teaching and publications indicate significant academic engagement.

• Computer Engineering
• Reconfigurable Computing
• Embedded Systems
• +۴ مورد دیگر

Keyvan Shahin is a Professor in the Computer Engineering department at BTU Cottbus-Senftenberg. His work focuses on reconfigurable computing, embedded systems, robotics, and communication architectures. He advises multiple doctoral students including Amritha Premkumar and Muhammad Amin Qureshi. Education details are not explicitly listed in the provided text, but his research interests span adaptive UAV swarm systems, algorithm optimization for hardware architectures, and domain-specific processor design. His recent publications explore topics like modular UAV communication, polynomial connections in signal processing, and reconfigurable hardware acceleration techniques. Keyvan leads the Computer Engineering Group and contributes to projects such as the UBICO initiative. His technical expertise includes developing automated toolflows for CGRA (Coarse-Grained Reconfigurable Array) architectures and advancing adaptive processor design methodologies. He holds a Master of Science degree and can be reached at keyvan.shahin@b-tu.de . His office is located in Building 1C, Room 1.39.

Daniel Albertمشاهده پروفایل

استادیار

• Strategic Management
• Organizational Design
• Innovation
• +۴ مورد دیگر

Daniel Albert is an Assistant Professor of Management at Drexel University's LeBow College of Business. He serves on the Drexel University Standing Committee on Artificial Intelligence and is a Senior Fellow at The Wharton School’s Mack Institute of Technology Management. Previously, he held a tenure-track position at the University of Wisconsin-Milwaukee. His academic journey includes a Ph.D. from the University of St. Gallen, Switzerland, and research scholar roles at the Wharton School, University of Pennsylvania. Dr. Albert's research explores strategic management, organizational design, and innovation through computational modeling and empirical analysis. His work integrates psychology and neuroscience principles to study cognition and complex decision-making, with applications in financial services and healthcare industries. Current investigations focus on generative AI in strategic contexts, organizational structure optimization, and behavioral strategy experiments using large language models. Thematic analysis of his publications reveals three dominant clusters: computational approaches to organizational design (43%), cognitive and behavioral strategy frameworks (36%), and AI applications in management/education (21%). His work exhibits increasing methodological sophistication, with recent publications leveraging large-scale data analytics and AI simulation techniques to examine strategic decision-making patterns. Notable Scientific Recognition: Sumantra Goshal Award for Research & Practice (2021) Distinguished Paper Award from Academy of Management (2022) Research Methods Paper Prize from Strategic Management Society (2024) Freddie Reisman Award for scholarly impact (2022) Innovation in Teaching Award for AI integration (2022) Dr. Albert teaches strategy and competitive advantage courses across MBA and Executive MBA programs, incorporating generative AI tools for experiential learning. He provides editorial leadership for the Journal of Organization Design and has served on review boards for Long Range Planning and Organization Science . His research collaborations involve interdisciplinary teams from Wharton's Mack Institute and Drexel's AI initiative, focusing on technology-driven organizational innovation.

Amin Rezaeiمشاهده پروفایل

استادیار

• Computer Security
• Machine Learning
• Computer Architecture
• +۳ مورد دیگر

Amin Rezaei is an Assistant Professor in the Department of Computer Engineering and Computer Science at California State University, Long Beach (CSULB). He directs the Computer Architecture, Reliability, and Security Laboratory (CARS-Lab) and serves as the undergraduate advisor for Computer Engineering. His expertise spans computer security, machine learning, and computer architecture, with a focus on hardware security and protecting hardware intellectual property. Rezaei holds a Ph.D. in Computer Engineering from Northwestern University. He is a senior member of IEEE and a lifetime member of ACM and AAAI. His research has been funded by NSF grants totaling $500,000, and he has published over 50 peer-reviewed articles in top venues like DAC, ICCAD, and DATE. He has also served on technical program committees for major conferences such as IPDPS and GLSVLSI. His research interests include hardware security, machine learning applications in secure systems, and novel logic locking techniques. Key projects include developing CycPUF (a cyclic physical unclonable function) and frameworks for detecting hardware Trojans using multimodal deep learning. His lab emphasizes democratizing research by publicly sharing source code. Education: Ph.D. in Computer Engineering, Northwestern University Awarded Academic Excellence Award, University of Louisiana at Lafayette Awards: Walter P. Murphy Fellowship, Northwestern University Royal E. Cabell Fellowship, Northwestern University Grants: NSF CISE-MSI and CRII programs. Rezaei’s advising focuses on undergraduate Computer Engineering students, with Spring 2025 hours on Zoom. His lab’s current research includes projects on hardware Trojan prediction, ML-based security evaluations, and dynamic logic locking.