جست‌وجوی استاد و پژوهشگر

Hani Ragab Hassenمشاهده پروفایل

دانشیار

• Cybersecurity
• Deep Learning Applications
• Natural Language Processing (NLP) in Cybersecurity
• +۷ مورد دیگر

Hani Ragab Hassen is an Associate Professor leading the Cybersecurity with AI Research Group at the School of Mathematical & Computer Sciences, Heriot-Watt University. He specializes in cybersecurity, particularly in applying machine learning and NLP to address challenges such as malware analysis, intrusion detection, and access control systems. His roles include Associate Director of PGR Studies, Academic Integrity Officer, and former leadership in Learning & Teaching and Research programs. Research interests focus on cybersecurity fundamentals, including deep learning for malware detection, NLP-driven vulnerability assessment, and P2P systems. He has supervised numerous PhD students, currently advising three candidates on airport cybersecurity, NLP-based vulnerability detection, and network intrusion systems. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure security. Publications span malware detection frameworks (e.g., ActDroid, Droiddissector), network security tools (NTFA), and machine learning optimization (D2TS). He has developed datasets like SI22 for DDoS analysis and contributed to open-source tools. His research emphasizes practical applications of AI in securing networks and cloud environments. Notable contributions include advancing Android malware detection via control flow graphs and text analysis, and pioneering cloud security protocols like Stick for social platforms. His interdisciplinary work bridges cybersecurity with machine learning and data science, addressing real-world threats through innovative solutions.

Tian Xieمشاهده پروفایل

استادیار

• Network Security
• Mobile Networks and Systems
• IoT Security
• +۴ مورد دیگر

Tian Xie is an Assistant Professor in the Department of Computer Science at Utah State University (USU). His research focuses on Mobile Networks, IoT Security, Network Security, and Data-Driven Network Analysis. He holds a Ph.D. (2023) and B.S. (2016) in Computer Science and Electrical Engineering from Michigan State University (MSU). Education : Ph.D. in Computer Science, Michigan State University, 2023 B.S. in Electrical and Computer Engineering (With Honor), Michigan State University, 2016 Research Interests : Explores vulnerabilities in cellular emergency services (911), 5G/4G security, IoT systems, blockchain technologies, and secure cloud computing. His work emphasizes practical defenses against network threats and improving system resilience. Awards : 2022 AT&T Security Award for 911 Security Research Best Community Paper Award Runner-Up at ACM MobiCom’22 NAIRR Pilot Award (2024) for 5G/4G Cellular Security Google Security Reward (2019) for VoWiFi Research Grants & Advising : Lead the NAIRR-funded 5G/4G cellular security project Advising 2 Ph.D., 1 MS, and 1 undergraduate student Teaching : Instructors for courses like Introduction to Cybersecurity and Computer Network and Security at USU, with prior teaching experience at MSU.

• Post-Quantum Cryptography
• Lattice-Based Cryptographic Schemes
• Homomorphic Encryption
• +۳ مورد دیگر

Dr. Rachel Player is a Senior Lecturer in the Department of Information Security at Royal Holloway, University of London. Her research focuses on post-quantum cryptography, lattice-based cryptographic schemes, and homomorphic encryption. Previously, she held postdoctoral roles in the EU H2020 PROMETHEUS project and conducted research at Sorbonne Université's PolSys team in Paris. She earned her PhD in Information Security from Royal Holloway, supervised by Professors Carlos Cid and Sean Murphy. Research interests include privacy-enhancing technologies and the application of quantum algorithms in cryptanalysis. She actively contributes to standardization efforts and has published extensively in cryptography journals and conferences. Dr. Player is an editor for Designs, Codes and Cryptography and participates in ISO/IEC standards meetings. Her work emphasizes practical homomorphic encryption systems and secure implementation guidelines. Collaborations span international institutions, reflecting her role in advancing cryptographic research and its real-world applications.

Roman Vitenbergمشاهده پروفایل

استاد

• Distributed Systems
• Blockchain Technology
• Privacy-Preserving Systems
• +۶ مورد دیگر

Roman Vitenberg is a Professor at the Department of Informatics, University of Oslo. His research focuses on distributed systems, blockchain, privacy, and middleware. He leads the Blockchain Lab, which runs Norway's production node in the EBSI network. Key contributions include work on fault-tolerant overlays, privacy-preserving frameworks for genomic data, and blockchain applications in healthcare. He teaches courses on distributed systems and blockchain technologies. Education: Ph.D. from Technion (Israel Institute of Technology), M.Sc. from Hebrew University of Jerusalem. Previous roles include postdoc at UC Santa Barbara and researcher at IBM. Research Interests: Distributed algorithms, blockchain systems, cloud/fog computing, dependability, and privacy-preserving techniques. Awards: Best Demo Award at ACM DEBS 2014, Best Paper Award at ACM DEBS 2016, Most Influential Paper Award (2007 paper recognized in 2017). Grants & Projects: PriTEM (privacy-preserving energy management), Conserns, Credence, and EBSI-NE (operating Norway's EBSI node). Advising: Supervised over 10 PhD and master students, including notable alumni at Spotify and Max-Planck Institute. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions, ACM conferences, and blockchain-focused journals.

• Cloud Computing
• Telemedicine
• Wearable Technology
• +۴ مورد دیگر

Massimo CANONICO is an Associate Professor at the Università del Piemonte Orientale Amedeo Avogadro , Department of Science and Technological Innovation. His research focuses on Cloud Computing , Telemedicine , Wearable Technology , and Urban Climate Analysis . He leads projects like KITE: Knowledge-Intensive and Technology-Enhanced Patient Emergency Management as a Co-Investigator, emphasizing interdisciplinary collaboration. His work contributes to UN Sustainable Development Goals, particularly in healthcare innovation and environmental sustainability. Key achievements include the HealthTracker System (cloud-based wearable healthcare monitoring) and Step-App® (telemonitoring for post-surgical patients). He actively publishes in peer-reviewed journals and conferences, with a focus on applications in medical education, urban heat islands, and cybersecurity. Email: massimo.canonico@uniupo.it

David Wai-lok Cheungمشاهده پروفایل

استاد

• Database Systems
• Data Mining
• E-commerce Technologies
• +۵ مورد دیگر

Professor David Wai-lok Cheung is a Professor in the Department of Computer Science at the University of Hong Kong (HKU) and Director of the Center for E-commerce Infrastructure Development (CECID). He holds a BSc in Mathematics from the Chinese University of Hong Kong and MSc/PhD in Computer Science from Simon Fraser University, Canada. His research focuses on database systems, data mining, e-commerce technologies, and secure computation. Key contributions include pioneering work on privacy-preserving data mining, XML schema design, and e-commerce infrastructure development. He has led numerous prestigious grants totaling over HK$60M and developed widely adopted open-source tools like the ebXML gateway. Professor Cheung has received awards such as the HKU Outstanding Researcher Award (1999) and the Distinguished Contribution Award (2009 PAKDD). He actively contributes to academia through leadership roles in conferences like PAKDD and CIKM. His research spans secure computation, data interoperability, and bioinformatics, with over 150 publications in top venues like SIGMOD, VLDB, and KDD. **Grants & Funding**: Highlighted grants include HK$6.6M for eLogistics Appliance (2007-2008) and HK$9.198M for a service-oriented e-transaction platform (2006-2008). **Publications**: Over 150 papers in areas like privacy-preserving data mining, XML query processing, and spatiotemporal data analysis. **Service**: Member of RGC Engineering Panel, Hong Kong Deposit Protection Scheme board, and Certification Board for IT Professional Certification.

Michael Marshمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Networking
• Distributed Systems
• +۳ مورد دیگر

Michael Marsh is a Senior Lecturer in the Department of Computer Science at the University of Maryland. His roles include teaching courses such as Computer and Network Security (CMSC414), Computer Networking (CMSC417), and Advanced Data Structures (CMSC420). He has developed the Diptych application to assist in managing large courses on Canvas, offering cross-platform binaries and open-source code. His research interests span cybersecurity, distributed systems, and parallel programming, with a focus on peer-to-peer networks, load balancing, and cryptographic protocols. Marsh has advised students such as Cole Lashley on projects like Shellcode Compilers. His work includes contributions to desktop grid systems, trust management in distributed environments, and robust secret distribution mechanisms. He maintains an active GitHub repository for Diptych, addressing issues like group list rendering and grading reports. His publications reflect expertise in resource discovery, decentralized PKI, and network protocol optimization. Awards and grants are not explicitly listed, but his academic contributions are highlighted through his teaching innovations and open-source projects. He continues to develop educational materials, including free e-books for his courses, and supports students through detailed course expectations and supplementary resources.

Maire O'Neillمشاهده پروفایل

استاد

• Hardware Security
• Cryptography
• Approximate Computing
• +۷ مورد دیگر

Maire O'Neill is a Professor at the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast, affiliated with the Secure Digital Systems (SDS) group and the Institute of Electronics, Communications & Information Technology (ECIT). Her research focuses on hardware security, cryptography, and secure embedded systems. She has held significant leadership roles and pioneered work in FPGA security, approximate computing, and post-quantum cryptography. Dr. O'Neill's academic journey includes over 20 years of contributions to secure digital systems, with a particular emphasis on cryptographic hardware, side-channel analysis, and IoT security. She has led major research projects such as the EU-funded 'TruDetect' initiative for hardware Trojan detection and the 'Secure IoT Processor Platform' project. Her work bridges theoretical research with practical applications, emphasizing real-world security challenges in electronics and computing. Education: Background in electrical engineering and computer science (details not explicitly stated in the text) Research Interests: Her work spans hardware security primitives, FPGA-based cryptographic solutions, and energy-efficient computing. She explores vulnerabilities like Rowhammer attacks and side-channel leaks while developing defenses through approximate computing and machine learning techniques. Her research addresses emerging threats in IoT, 5G networks, and post-quantum cryptography. Publications Trends: Recent work emphasizes machine learning applications in security (e.g., ML-KEM accelerator designs), hardware Trojan detection, and energy-efficient approximate computing. She frequently publishes in top-tier venues like IEEE Transactions and ACM conferences, with a focus on practical implementations and FPGA demonstrators. Awards: 2007: BFIIN ITEC Platinum Award, British Female Inventor of the Year, European Union Women Innovators 2015: Fellow of the Irish Academy of Engineering 2015: INVENT Award for collaborative innovation Advising & Grants: Supervised 8 PhD students (explicitly stated). Active in securing research grants (18 projects listed), including EU and industry collaborations. Engages in academic service roles like IEEE Distinguished Lecturer and international conference organization. Labs/Teams: Leads the Secure Digital Systems (SDS) group, collaborating with global partners on hardware security and IoT initiatives. Maintains strong ties with industry through projects like NIO New Deal Cyber Bid and TruDetect.

Zachary Petersonمشاهده پروفایل

استاد

• Cybersecurity
• Computer Security Education
• Privacy
• +۵ مورد دیگر

Zachary Peterson is a Professor in the Department of Computer Science at California Polytechnic State University (Cal Poly), specializing in cybersecurity education and privacy research. He develops innovative pedagogical tools such as Fakesbook (a simulated social network for teaching privacy concepts) and cybersecurity ARGs (Alternate Reality Games) to engage students in security practices. His work bridges technical cybersecurity challenges with educational outreach, particularly for K-12 and undergraduate audiences. Research Focus: Peterson's research spans cybersecurity education, privacy-enhancing technologies, and secure file systems. He emphasizes inclusive design principles, such as browser security for visually impaired users, and has explored compliance frameworks for regulatory requirements in healthcare and federal systems. His work also addresses emerging threats in cyber-physical systems like autonomous vehicles. Awards & Recognition: A Fulbright Scholar in cybersecurity, Peterson has received prestigious grants including the NSF SaTC Award and Google CS Engagement Award. His contributions to cybersecurity competitions and underrepresented group participation have shaped educational equity initiatives in the field. Grants & Advising: Leads NSF-funded projects for K-12 cybersecurity education and advises initiatives such as the GenCyber Teacher Training program. His collaborations include industry partnerships and international lectures at venues like UCL's Cybersecurity Research Centre. Key Platforms: Active in conferences like USENIX Security, IEEE S&P, and SIGCSE. Develops open-source tools for secure storage (e.g., DEFY file system) and cybersecurity training platforms. His research outputs span over 30 peer-reviewed articles and patented technologies.

Jelena Schmalzمشاهده پروفایل

مدرس

• Applied Mathematics
• X-ray Imaging
• Tomography
• +۲ مورد دیگر

Jelena Schmalz is a Lecturer in Mathematics at the School of Science and Technology, University of New England. She holds an M.Sc. in Mathematics from Moscow State Lomonossov University and a Ph.D. in Physics from UNE. Her background includes extensive teaching experience in first-year mathematics, number theory, and cryptography courses. Dr. Schmalz's research focuses on applied mathematics with applications to X-ray imaging, tomography, sport science, cryptography, and tertiary education. Her doctoral work investigated direct and inverse problems in X-ray phase-contrast imaging. Her publications demonstrate consistent focus on mathematical applications and educational innovation, with recent work exploring mathematical education during COVID-19 and security protocols in banking systems. Earlier research established foundations in X-ray physics and tomography techniques.

• Cybersecurity
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Athirah Binti Ramly is a Lecturer at the School of Architecture, Computing & Engineering within the University of East London . Her research focuses span cybersecurity, machine learning, and artificial intelligence applications in wireless networks and energy systems. Recent publications demonstrate expertise in: Android malware detection using temporal convolutional networks Phishing URL detection with hybrid classification models AI-driven wireless network security strategies RFID access control systems with SHA-256 encryption Energy consumption prediction using AI models Her work integrates advanced machine learning techniques with practical security implementations across diverse domains.

Ahmed Ounمشاهده پروفایل

استادیار

• Cybersecurity
• Hardware-Assisted Security
• VLSI
• +۴ مورد دیگر

Dr. Ahmed Oun is an Assistant Professor in the School of Electrical Engineering and Computer Science (EECS) at Ohio University's Russ College of Engineering and Technology since 2024. Previously, he held faculty roles at Ohio Northern University and worked in the oil and gas industry as a Gas Turbine Controls NPI Engineer, Operation Control Room Supervisor, and Project Manager at General Electric International Inc. He earned his Ph.D. (2022) from the University of Toledo and a Master's degree (2012) from the University of Bridgeport. His research focuses on cybersecurity, hardware-assisted security for embedded systems, VLSI, IoT security, and machine learning applications in protecting computing systems against cyberattacks and hardware Trojans. Key interests include PUF-based authentication, FPGA security, and AI-driven threat detection. Recent publications emphasize AI's role in cybersecurity, IoT device protection, and intrusion detection systems. His work spans both theoretical advancements and applied solutions in secure communication and hardware vulnerability analysis. No scientific awards are explicitly listed, but his contributions include developing novel defense mechanisms and authentication protocols for embedded systems. Dr. Oun has advised no explicitly listed students or grants, though his industry experience and academic roles suggest involvement in collaborative research projects. His work contributes to advancing secure computing infrastructure and resilient IoT ecosystems.

Jean-François Biasseمشاهده پروفایل

استاد

• Computational Number Theory
• Post-Quantum Cryptography
• Lattice-Based Cryptography
• +۲ مورد دیگر

Jean-François Biasse is Professor in the Department of Mathematics & Statistics at University of South Florida and Director of the Center for Cryptographic Research. His research specializes in computational number theory and post-quantum cryptography, particularly lattice-based and isogeny-based cryptographic schemes. He holds a PhD from École Polytechnique and has held positions at University of Waterloo and University of Calgary. His research develops: Algorithms for class group and unit group computation Cryptanalysis of post-quantum schemes Quantum-resistant cryptographic protocols Efficient implementations of number-theoretic algorithms He has contributed significantly to isogeny-based cryptanalysis. His publications address: Quantum attacks on cryptographic assumptions Subexponential algorithms in number theory Security of code-based signatures Ideal lattice problems in cyclotomic fields Recent work examines tradeoffs between classical and quantum attacks. Dr. Biasse leads research on privacy-preserving technologies through projects like Trace- and homomorphic encryption systems. He serves as associate editor for the International Journal of Computer Mathematics: Computer Systems Theory.

Xue Chenمشاهده پروفایل

استادیار

• Smart Materials
• Soft Matter Mechanics
• Energy Conversion
• +۳ مورد دیگر

Dr. Xue Chen is an Assistant Professor in the Department of Mechanical and Construction Engineering at Northumbria University. She holds a PhD in Solid Mechanics from École Polytechnique (France) and conducted postdoctoral research at the University of Toronto. Her expertise spans smart materials, soft matter physics, and energy conversion, with a focus on multi-scale modeling and designing flexible sensors/actuators. Education: PhD in Solid Mechanics, École Polytechnique (2014) Engineer’s Diploma (MEng), ENSTA ParisTech (2009) BEng in Mechanical Engineering, Shanghai Jiao Tong University (2006) Research interests include energy-harvesting materials, biomimetic systems, and advanced composites. Recent work explores hydrogel-based encryption, super-hard wood composites, and dragonfly-wing inspired adhesives. Her studies on Ni-Mn-Ga alloys and graphene oxide metamaterials highlight contributions to smart material dynamics and human-machine interfaces. Grants and collaborations involve industry partnerships in energy storage and sensor development. No specific awards are listed, but her work reflects sustained innovation in materials science and engineering applications.

Kemal Akkayaمشاهده پروفایل

استاد

• Network Security
• IoT & Cyber-physical System Security
• Key Management
• +۵ مورد دیگر

Dr. Kemal Akkaya is a Professor at the Department of Electrical & Computer Engineering, Florida International University (FIU), where he leads the Advanced Wireless and Security Lab (ADWISE). He holds a Ph.D. in Computer Science from the University of Maryland Baltimore County and has expertise in Network Security, IoT/CPS Security, Blockchain Applications, and 5G Security. His professional roles include serving as Research Director for FIU’s Emerging Preeminent Program in Cybersecurity and as Program Director for the first BS degree in IoT in the U.S. Education: Ph.D. in Computer Science, University of Maryland Baltimore County M.S. in Computer Engineering, Middle-East Technical University, Turkey B.S. in Computer Science, Bilkent University, Turkey Research Interests: Dr. Akkaya focuses on securing IoT and cyber-physical systems, blockchain for micro-payments, and network defense mechanisms. His work emphasizes privacy-aware protocols, secure key management, and SDN/NFV-based solutions. Awards: FIU Faculty Senate Excellence in Research Award (2020) College of Engineering and Computing Faculty Research Award (2020) Top Cited Article Award from Elsevier (2010) Advisees and Grants: While no student names are listed, his lab (ADWISE) likely supports graduate research in IoT and cybersecurity. His grants include interdisciplinary initiatives at FIU, focusing on securing emerging technologies like 5G and blockchain. Labs/Teams: Leads the ADWISE Lab, collaborating on projects like secure IoT payment systems, drone communication security, and resilient smart grid networks.