جست‌وجوی استاد و پژوهشگر

Yanhua Hongمشاهده پروفایل

عضو هیئت علمی

• Semiconductor Lasers
• Nonlinear Dynamics
• Chaos Theory
• +۳ مورد دیگر

Dr. Yanhua Hong is a Reader in the School of Computing and Engineering at Bangor University. His research focuses on nonlinear dynamics of semiconductor lasers, chaos theory, and their applications in optical communications and microwave photonics. He leads projects such as 'Microwave Photonics Generation Using Low-Cost VCSELs' and has published extensively in journals like Optics Express and Photonics. Key areas of expertise include semiconductor laser dynamics under optical feedback, secure communication systems leveraging chaotic signals, and the design of photonic microwave generation systems. Hong collaborates internationally with institutions like Southwest University (China) and the Universitat Politècnica de Catalunya (Spain). He actively supervises PhD students and examines external theses. Recent work highlights include high-speed secure stream ciphers using synchronized chaos, optimization of multimode fiber imaging systems, and analysis of intermittent laser dynamics via reservoir computing. His contributions bridge fundamental research with applied photonics, contributing to advancements in optical security, signal processing, and next-generation communication networks.

Ala Sarah Alaqraمشاهده پروفایل

دانشیار

• Cybersecurity
• Privacy Engineering
• Human-Computer Interaction (HCI)
• +۷ مورد دیگر

Ala Sarah Alaqra is an Associate Professor (Docent) in Information Systems Research at Karlstad University, Sweden. She holds dual roles as a researcher and educator, contributing significantly to the fields of privacy engineering, cybersecurity, and human-computer interaction. Her work bridges technical innovation with user-centric design principles, addressing challenges in healthcare systems, cloud computing, and digital transformation. **Research Projects:** INNOPATH (2025–current): Innovating policy frameworks for innovation commons. INCREDILAB (2024–current): Enhancing climate resilience through digital education. Cross Border Cyber Capacity (CBCC) (2023–current): Strengthening cybersecurity collaboration between Sweden and Norway. PAPAYA (2018–2020): Developing privacy-preserving analytics platforms for cloud services under Horizon2020. PRISMACLOUD (2015–2018): Securing privacy in cloud services funded by Horizon2020. **Teaching:** Responsible for 15+ courses across bachelor’s, master’s, and thesis levels, including: Bachelor’s courses: Interaction Design, Web Analytics, User-Centered Prototyping. Master’s courses: AI in Law, AR/VR Research, Experimental Multimedia Methods. Thesis supervision in information systems and technology. **Research Focus:** Prioritizes user-centric solutions for privacy challenges in cloud computing, eHealth systems, and crisis management. Her work emphasizes practical implementations of cryptographic technologies, digital well-being during pandemics, and stakeholder collaboration in tech adoption. **Grants & Collaborations:** Secured funding from VINNOVA, EU Horizon2020, and Interreg initiatives. Collaborates with municipalities, healthcare providers, and tech firms to translate research into actionable solutions. **Labs/Teams:** Engaged in the INCREDILAB initiative and cross-border cybersecurity projects. Leads interdisciplinary teams addressing privacy-technology interface challenges.

Duong Hieu Phanمشاهده پروفایل

استاد

• Cryptography
• Provable Security
• Public-Key Encryption
• +۷ مورد دیگر

Duong Hieu Phan is a Professor at Télécom Paris (Institut Polytechnique de Paris) since 2020, leading the Cybersecurity and Cryptography (C²) research team within the Laboratoire Traitement et Communication de l'Information (LTCI). Previously, he held academic positions at University of Limoges (2015–2020) and University of Paris 8-13 (2007–2015). He obtained his Ph.D. in Cryptography from École Normale Supérieure under David Pointcheval, followed by postdoctoral research at University College London and a research engineer role at France Telecom R&D. His research focuses on provable security for cryptographic schemes, including public-key encryption, digital signatures, broadcast encryption, traitor tracing, functional encryption, and privacy-preserving systems. Notable contributions include foundational work on anamorphic cryptography, multi-client functional encryption, and zero-knowledge proofs of quantumness. Dr. Phan has served in leadership roles such as General Co-Chair of ASIACRYPT 2016 and membership in the ASIACRYPT Steering Committee since 2013. He actively participates in international conferences as a program committee member and has contributed to initiatives like the CNRS LIA ForMath Vietnam-Singapore. His publications span over 70 works in top-tier venues like CRYPTO, EUROCRYPT, ASIACRYPT, and IACR journals, emphasizing theoretical advancements and practical security solutions. His recent work explores quantum-resistant cryptography, privacy-preserving protocols, and decentralized systems.

• Materials Science
• Polymer Chemistry
• Soft Robotics
• +۳ مورد دیگر

Jie Jiang is a Postdoc Researcher in the Department of Materials Science and Environmental Engineering. His research focuses on advanced materials for smart systems, including liquid crystal elastomers, hydrogels, and piezoelectric nanocomposites. He has contributed to over 12 peer-reviewed articles since 2018. Key research interests include designing stimuli-responsive materials, soft robotics actuators, and multifunctional polymers. Recent work emphasizes liquid crystal-based systems for applications like information encryption and self-sensing robots. Notable publications include studies on dual-crosslinked elastomers (2025), temperature-responsive hydrogel actuators (2024), and piezoelectric sensors (2020). Collaborations often involve Prof. Zhao Y., with contributions to material synthesis and functional testing.

Zhiwei Liمشاهده پروفایل

استادیار

• Materials Chemistry
• Nanoscience
• Quantum Chemistry
• +۵ مورد دیگر

Zhiwei Li is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of Maryland College Park, joining in August 2024. He holds a Ph.D. in Physical Chemistry from the University of California Riverside (2014–2019), an M.Sc. in Materials Science from Soochow University (2011–2014), and a B.Sc. in Materials Science from Soochow University (2007–2011). Prior to his current role, he was a Postdoctoral Fellow at Northwestern University under Prof. Chad Mirkin (2022–2024) and a Research Assistant at UCR under Prof. Yadong Yin and Prof. Nosang V. Myung (2014–2022). His research focuses on: Controlled synthesis of magnetic, metallic, and semiconductor nanomaterials Programmable assembly of smart nanostructured materials and quantum superlattices High-throughput synthesis and AI-driven discovery of nanocrystals for energy applications Notable achievements include the IIN Outstanding Researcher Leader Award (2024) , IAAM Scientist Medal (2023) , and Richard P. Van Duyne Postdoctoral Fellowship (2022) . The Li Research Group's work spans photonic metamaterials, quantum engineering, and energy storage, with emphasis on stimuli-responsive systems and nanocrystal megalibraries. His lab integrates computational modeling, combinatorial synthesis (e.g., polymer pen lithography), and AI to accelerate materials discovery. Current projects include DNA-mediated assembly of quantum metamaterials and high-throughput screening of perovskite nanocrystals for photovoltaics.

• Materials Science
• Polymer Chemistry
• Soft Robotics
• +۳ مورد دیگر

Jie Jiang is a Postdoctoral Research Fellow at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Department of Materials Science and Environmental Engineering. His research focuses on advanced materials such as liquid crystal elastomers, hydrogels, and nanocomposites, with applications in soft robotics, sensors, and actuators. His work emphasizes stimuli-responsive materials, phase transitions, and multifunctional devices. Key research interests include smart materials design, electroactive polymers, and nanotechnology-driven solutions for environmental and engineering challenges. His contributions span material synthesis, actuator development, and sensor technologies, often leveraging interdisciplinary approaches like electrospinning and MOF integration. No scientific awards are explicitly mentioned in the provided text. Information on advising students or grants is not provided. His work is centered at Tampere University, with no mention of additional labs or collaborative teams.

Abraham Westerbaanمشاهده پروفایل

مدرس

• Category Theory
• Von Neumann Algebras
• Operator Algebras
• +۴ مورد دیگر

Dr. Abraham Westerbaan is a Lecturer at Radboud University's ICIS (Digital Security Department) and a Scientific Programmer at Radboud's iHub. He earned his Ph.D. in 2019 under the supervision of Bart Jacobs, defending a thesis titled *The Category of Von Neumann Algebras*, which explores foundational aspects of operator algebras and category theory. His research spans quantum computing, mathematical logic, and cryptographic systems, with notable contributions to quantum programming languages and mathematical structures in theoretical physics. Westerbaan's work integrates advanced algebraic concepts with computational security, reflecting his dual role in academic research and applied scientific programming. His publications emphasize categorical frameworks for quantum mechanics, operational quantum logic, and cryptographic protocols for network privacy. He maintains an active GitHub repository documenting his thesis and related projects, showcasing collaborations in operator algebra theory and computational mathematics. While no specific grants or awards are explicitly listed, his extensive publication record and academic roles indicate sustained engagement with cutting-edge research in theoretical computer science and mathematical physics. His affiliations with ICIS and the iHub highlight a commitment to both foundational inquiry and applied technological development.

Jorge Bernal Bernabéمشاهده پروفایل

دانشیار

• Cybersecurity
• Privacy Management
• Trust Management
• +۷ مورد دیگر

Jorge Bernal Bernabé is an Associate Professor at the Department of Communications and Information Engineering (DIIC) of the University of Murcia (UMU). He focuses on security, trust, and privacy management in distributed systems , particularly in Internet of Things (IoT), Software-Defined Networking (SDN), Network Function Virtualization (NFV) , and blockchain technologies . His work spans European projects like Resilmesh, RIGOUROUS, ERATOSTHENES, and INSPIRE-5Gplus. His research emphasizes Automated security policy enforcement Privacy-preserving credentials Federated learning for anomaly detection Network slicing for 6G security Cyber situational awareness Scientific awards include Best PhD Thesis Award (2015) AXA Postdoctoral Scholarship (2019) ANECA Associate Professor accreditation (2020) Best Paper Award (2009) He serves on editorial boards for journals like Frontiers in Blockchain (Blockchains Security and Privacy section), Electronics (Networks Section), and Security and Communication Networks . As a program committee member, he co-chaired SecSoft 2025 and organized workshops like ECoSP 2018.

Wei-Shinn Kuمشاهده پروفایل

استاد

• Data management systems
• Data analytics
• Cybersecurity
• +۳ مورد دیگر

Wei-Shinn Ku is a Professor in the Department of Computer Science and Software Engineering at Auburn University . He earned his Ph.D. in Computer Science from the University of Southern California in 2007, following M.S. degrees in Computer Science (2003) and Electrical Engineering (2006), and a B.S. in Information and Computer Education from National Taiwan Normal University (1999). As a program director at the National Science Foundation (2019–2022), he shaped research directions in data science and cybersecurity. Dr. Ku leads the Data Science and Engineering Laboratory (DSE Lab) at Auburn University, focusing on data management systems , data analytics , cybersecurity , and mobile computing . His recent work includes privacy-preserving techniques for IoT networks, spatio-temporal modeling for traffic prediction, and federated learning frameworks for mobile social networks. He has secured multiple NSF grants for projects like Indoor Spatial Query Evaluation and Data Integrity in Clouds . Dr. Ku's 15 most recent articles (2024–2025) span domains including traffic prediction , air quality modeling , secure cloud computing , and IoT security , with subfields like graph neural networks, quadtree-based optimization, and homomorphic encryption. His research has been recognized with awards such as the Auburn Alumni Engineering Council Research Award (2018, 2012) and the AFRL Summer Research Associate (2016). He has advised 18 current and graduated students in Ph.D. and M.S. programs, including Wenlu Wang, Ting Shen, and Kazuya Sakai. His professional service includes chair roles at IEEE/ACM conferences (ICDE, CIC, ICLR) and editorial positions at journals like IEEE Transactions on Knowledge and Data Engineering .

• Cryptography
• Information Security
• Symmetric Encryption
• +۱۱ مورد دیگر

Leonie Simpson is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. Her research and teaching are centered on cryptography and information security, with a strong focus on symmetric encryption, key management, and secure communications. Her research interests include: Symmetric encryption algorithms for real-time communications Authenticated encryption and security-efficiency trade-offs Boolean functions in cipher design for cyber attack resistance Information security management and threat information sharing IoT and vehicular communication security Leonie has published over 80 articles and three book chapters on symmetric ciphers. Her recent publications emphasize lightweight cryptography for connected vehicles, anomaly detection in key management via metadata, and secure frameworks for post-quantum migration. These works reflect a consistent trend toward practical, efficient, and resilient cryptographic solutions for emerging technologies. She has supervised 12 PhD and 1 Master’s student to completion and currently mentors 5 research students. Her grants include leadership in the Cyber Security CRC and an ARC project on secure stream ciphers. She also serves on the editorial board of the journal Cryptography and has chaired major conferences like ACISP 2013 and 2023. Notable professional roles include: Theme Leader, Resilient Systems, Cyber Security CRC Editorial Board Member, Cryptography journal Program Co-chair, ACISP 2013 and 2023 Referee for top journals and conferences in cryptography She has led industry security analyses and served as an expert witness in a Federal Court case on cryptographic telecommunications. Her teaching includes unit coordination for Cyber Security and previous development of multiple information security and cryptography units at QUT.

• Computer Vision
• Machine Learning
• Image Processing
• +۵ مورد دیگر

Dr. Xin Lin is a Professor at the School of Computer Science and Technology, University of Science and Technology of China in Hefei. With an extensive publication record spanning computer vision, machine learning, and artificial intelligence, Dr. Lin leads a research group focused on solving challenging problems in image processing, robotics, and wireless communications. His work bridges theoretical advancements with practical applications across healthcare, autonomous systems, and industrial manufacturing. Dr. Lin's research interests encompass computer vision, machine learning, image processing, and artificial intelligence, with particular expertise in image restoration, 3D object detection, and human pose estimation. His laboratory develops innovative approaches to handle multiple image degradations simultaneously and create lightweight, efficient vision systems suitable for real-world deployment. The research demonstrates strong interdisciplinary connections, applying computer vision techniques to medical imaging, satellite communications, and industrial IoT applications. Analysis of Dr. Lin's recent publications reveals a strong focus on multi-task learning approaches that address multiple image degradation problems simultaneously. His work shows increasing sophistication in handling complex real-world scenarios, from low-light conditions to rain interference, while maintaining computational efficiency. The research trajectory demonstrates a clear path from fundamental image processing techniques to practical applications in autonomous driving, healthcare, and industrial systems. Dr. Lin has received recognition for his contributions to the field through numerous publications in top-tier venues including CVPR, IEEE Transactions, and ACL. His work on image restoration, particularly the Dual Degradation Representation framework, has gained significant attention in the computer vision community. Dr. Lin actively supervises graduate students and collaborates with researchers worldwide. His laboratory works on cutting-edge projects involving digital twins for manufacturing, satellite communications, and medical imaging applications. Current research directions include developing more robust and efficient models for real-world deployment scenarios, with particular attention to resource-constrained environments.

• Image Processing
• Biomedical Signal Analysis
• Medical Imaging
• +۳ مورد دیگر

Dr. Gizem DURSUN DEMİR is a Researcher at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Suleyman Demirel University. She holds a Ph.D. in Electrical and Electronics Engineering from the same institution (2023). Her research focuses on image and biomedical signal processing, with applications in medical diagnostics and cybersecurity. Education: Bachelor's: Suleyman Demirel University, Electronics and Communication Engineering (2014) Master's: Suleyman Demirel University, Electronics and Communication Engineering (2017) Ph.D.: Suleyman Demirel University, Electronics and Communication Engineering (2023) Research Interests: Image/video processing, biomedical signal analysis, medical imaging, cryptography, machine learning, and neurodegenerative disease diagnostics. She specializes in developing AI-driven tools for automated analysis of biomedical signals and medical imaging. Recent Work Trends: Recent publications emphasize dental radiography segmentation using generative models, automated calcium imaging analysis for neurodegenerative diseases (e.g., ALS), and AI applications in pathology. She also explores secure image encryption techniques. Grants & Projects: EU H2020 Project: Automated Functional Screening of IgGs for Neurodegenerative Disease Diagnostics (2018–2023) National Project: Image Encryption via Lossless Transform Methods (2016–2017) Labs/Teams: Collaborates with teams at the University of Belgrade and Suleyman Demirel University on neuroglial structure analysis and biomedical signal processing.

Nikolaos Foutrisمشاهده پروفایل

پژوهشگر

• Dependable Computer Architectures
• Energy-Efficient Systems
• Hardware/Software Co-Design
• +۵ مورد دیگر

Nikolaos Foutris is a Researcher at The University of Manchester, specializing in dependable and energy-efficient computer architectures. His work emphasizes hardware/software co-design, focusing on systems and processors that balance performance with reliability. Key research areas include memory optimization, GPU acceleration for cryptographic computations, and radiation effects on MPSoC systems. His research intersects with UN Sustainable Development Goals, particularly through energy-efficient technologies and resilient computing infrastructure. Collaborations span academia and industry, addressing challenges in NUMA systems, blockchain, and cloud applications. Recent publications highlight trends in memory analysis for managed applications, SPIR-V code generation frameworks, and mitigating radiation-induced errors in advanced embedded systems. No scientific awards or grants are explicitly mentioned in the provided text.

Melek Önenمشاهده پروفایل

استاد

• Applied Cryptography
• Cloud Security
• Security and Privacy for Big Data and Machine Learning
• +۳ مورد دیگر

Melek Önen is a Full Professor at EURECOM's School of Digital Security, specializing in applied cryptography, cloud security, and privacy-preserving technologies. Her work focuses on cybersecurity challenges in federated learning, big data, and IoT systems. She leads research on secure aggregation techniques, privacy-preserving machine learning, and cryptographic protocols for real-world applications like healthcare. Key research interests include federated learning security, homomorphic encryption, and privacy-aware data analytics. She has developed frameworks such as PAPAYA for privacy-preserving data analytics and UPRISE-IoT for IoT privacy solutions. Her projects often address regulatory compliance (e.g., GDPR) in cloud and distributed systems. Recent research trends show a strong focus on mitigating adversarial attacks in distributed systems, optimizing secure computation efficiency, and balancing privacy with functionality in machine learning. Notable contributions include secure biometric authentication protocols ( Nomadic ), fault-tolerant federated learning systems, and privacy-preserving image analysis methods. Önen collaborates on EU-funded initiatives like TREDISEC (trustworthy cloud security) and PAPAYA , emphasizing practical implementations. She actively contributes to open-source tools like Fed-BioMed for federated healthcare AI. Her work bridges theoretical cryptography with real-world deployment challenges.

• Theoretical Computer Science
• Computational Complexity
• Cryptography
• +۴ مورد دیگر

Manuel Blum is a renowned computer scientist and winner of the 1995 ACM Turing Award. He holds the title of Bruce Nelson University Professor of Computer Science at Carnegie Mellon University's School of Computer Science. Previously, he was a faculty member at the University of California, Berkeley. His work spans theoretical computer science, computational complexity theory, cryptography, and program checking. He has supervised 35 doctoral students, many of whom are leading figures in computer science. Education: Ph.D. in Mathematics (MIT, 1964), M.S. in Electrical Engineering (MIT, 1961), B.S. in Electrical Engineering (MIT, 1959). Research focuses on foundational aspects of computing, including cryptographic protocols (e.g., CAPTCHA), program correctness mechanisms, and computational complexity. His contributions to secure human-computer interaction and zero-knowledge proofs are particularly influential. Teaching highlights include courses on theoretical cryptography and complexity theory. Awards include the ACM Turing Award, ACM Fellow, and UC Berkeley's Distinguished Teaching Award.