جست‌وجوی استاد و پژوهشگر

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.

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.

• Artificial Intelligence
• Data Science
• Data Mining
• +۷ مورد دیگر

ZHU Feida is an Associate Professor of Computer Science and Associate Dean for Partnerships and Engagement at Singapore Management University's School of Computing and Information Systems. He holds the Aptos Move Professorship and specializes in Artificial Intelligence, Data Science, and Blockchain Technology. His research spans federated learning, cybersecurity, cryptocurrency analysis, and privacy-preserving data systems. Education: PhD in Computer Science from the University of Illinois (2009). He teaches courses on Data Mining, Business Analytics, and Computer Analysis Tools. Research focuses on machine learning algorithms, blockchain-enhanced systems, and early detection of malicious activities in cryptocurrencies. Key areas include federated learning frameworks, decentralized data governance, and anomaly detection in large networks. Award: Aptos Move Professorship (Recipient). Advising: Supervises students including CHENG Ling, LIU Huiwen, and THIA Boon Sing. His work addresses challenges in data assetization, secure aggregation in federated systems, and interdisciplinary applications of AI. Labs/Teams: Engaged in collaborative projects on blockchain security and smart data analytics through initiatives like the International Workshop on Smart Data for Blockchain (SDBD).

Drew Springallمشاهده پروفایل

استادیار

• Cybersecurity
• Internet-Scale Measurement
• Core Internet Protocol Security
• +۲ مورد دیگر

Drew Springall is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University's Samuel Ginn College of Engineering. His work focuses on cybersecurity, internet protocols, and election security. He holds a Ph.D. and M.S. in Computer Science and Engineering from the University of Michigan and a B.S. in Computer Science from the University of Alabama. Ph.D. Computer Science and Engineering, University of Michigan M.S. Computer Science and Engineering, University of Michigan B.S. Computer Science, University of Alabama His research explores security and privacy challenges in core internet protocols like TLS, IPsec, and SSH, with particular emphasis on protecting against highly privileged adversaries. Springall has conducted critical analyses of systems such as Estonia's internet voting infrastructure and has pioneered studies on FTP protocol risks. His recent work includes an NSF-funded initiative to enhance AI and cybersecurity education through cross-disciplinary teaching strategies. Springall has contributed to public discourse on election security, appearing in media discussions about online voting vulnerabilities. He is affiliated with the Center for Artificial Intelligence and Cybersecurity Engineering at Auburn University and actively participates in research on mitigating threats to critical infrastructure systems.

Yuliang Zhengمشاهده پروفایل

استاد

• Modern Cryptography
• Cyber Security
• Digital Privacy
• +۳ مورد دیگر

Yuliang Zheng is a Professor and Chair of the Department of Computer Science at the University of Alabama at Birmingham (UAB), part of the College of Arts and Sciences. He is renowned as the inventor of the ISO-standardized signcryption technology and a leader in modern cryptography and cyber security. His research spans cryptographic engineering, blockchain, and privacy-preserving systems. Dr. Zheng has over 230 refereed publications and played a key role in establishing international standards for public-key cryptography. He co-founded the Public Key Cryptography (PKC) conference and chairs its steering committee, demonstrating his global influence in the field. Education: B.S. (Highest Distinction) from Nanjing Institute of Technology (1982), M.S. and Ph.D. in Electrical Engineering from Yokohama National University (Japan), followed by a postdoctoral fellowship at the Australian Defence Force Academy. His career includes roles at the University of Wollongong, Monash University, and UNC Charlotte, where he founded the Information Security and Assurance Center (ISAC). Research focuses on cryptographic innovation, including signcryption, blockchain security, and privacy-enhancing technologies. He has advised banks, tech firms, and governments, and contributed to standards bodies like ISO, IEEE, and IETF. Awards include recognition as a top 10 cryptography researcher (1999) and ISO standardization milestones. Leadership and service include steering committees for major conferences like ICITS and ISC, editorial roles at The Computer Journal and IEEE Transactions, and program committee memberships across ACM-CCS, RSA, CRYPTO, and ASIACRYPT. His work emphasizes practical applications of security, such as privacy-preserving data generation and secure video surveillance systems.

Samiya Khanمشاهده پروفایل

مدرس

• Data Science
• Artificial Intelligence
• Edge Computing
• +۴ مورد دیگر

Dr. Samiya Khan is a Lecturer in Computer Science at the University of Greenwich, UK, affiliated with the School of Computing and Mathematical Sciences within the Faculty of Engineering and Science. She holds a PhD in Computer Science from Jamia Millia Islamia, India (2020), and is an alumna of the University of Delhi, India. Previously, she served as a postdoctoral research fellow at the University of Wolverhampton, UK. Her expertise spans data science, artificial intelligence, edge computing, IoT, and digital health. Her research contributions include over 25 publications in high-impact journals and conferences, as well as authored/co-edited books such as 'Big Data and Analytics' and 'Internet of Things (IoT): Concepts and Applications' (Springer Nature). She has also contributed as an Associate Editor for Scientific India Magazine and a reviewer for multiple journals and conferences. Samiya’s work emphasizes interdisciplinary applications, including cybersecurity for industrial systems, smart healthcare solutions, and sustainable computing. Her recent research explores XR (Extended Reality) for clinical training, IoT in urban sustainability, and AI-driven telehealth services. Her publications highlight advancements in anomaly detection for critical infrastructure, blockchain-enabled IoT security, and AI frameworks for medical imaging. She has also authored works on big data preprocessing and cloud computing challenges in academia and industry. Key contributions include a book on 'Extended Reality for Healthcare Systems' (Elsevier, 2024) and frameworks for low-cost green computing services. Her research bridges theoretical innovation with practical applications in healthcare, education, and environmental sustainability.

Giridhar Reddy Bojjaمشاهده پروفایل

استادیار

• Business Analytics
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Giridhar Reddy Bojja is an Assistant Professor of Information Systems & Analytics at the College of Business, Michigan Technological University. His academic office is located in Academic Office Building G018. He holds a strong focus on interdisciplinary research and teaching in data-driven fields. Research Interests: Information Systems Capabilities and Firm Performance Social Media Analytics and Healthcare Applications Econometric Modeling in Technology Impact Design Science Research Methodologies Teaching Specializations: Business Analytics (ML, DL, Text Mining) Generative AI and Its Applications Management Science and Social Network Analysis Research Themes: His work spans AI-driven IoT security frameworks, healthcare data analytics, blockchain-enabled healthcare systems, and organizational impact of IT investments. Recent projects include predictive models for patient outcomes and frameworks for resilient IoT networks. Professional Background: His research has been published in top-tier journals and conferences, with a focus on healthcare IT, cybersecurity, and AI applications. He actively contributes to both theoretical and applied research in information systems.

Fikret Basicمشاهده پروفایل

پژوهشگر

• Battery Management Systems
• Wireless Communication Security
• Embedded Systems
• +۳ مورد دیگر

Fikret Basic is a researcher at the Institute of Technical Informatics at TU Wien, specializing in cybersecurity for embedded systems and battery management systems (BMS). His work focuses on integrating RFID, NFC, and secure communication protocols into industrial and automotive applications. He has led/co-led multiple EU-funded projects including SPiDR, OPEVA, and Intelligent & Networked Embedded Systems. Basic has published extensively at IEEE conferences and received awards such as Scientist of the Year 2024 and AVL Hans List Fonds Preis 2023. His contributions span secure data acquisition, wireless BMS architectures, and authentication mechanisms for IoT devices. Research interests include: Battery Management Systems, Cybersecurity for Industrial Networks, RFID/NFC Applications, Embedded System Security, and IoT Architecture Design. He actively participates in workshops like SPICES 2024 (as Chair) and peer reviews for conferences like EuroPLoP. Basic holds a Dipl.-Ing. (Diploma in Engineering) and a Dr.techn. (Technical Doctorate) in electrical engineering. Projects: SPIDR2 (2025-2028), OPEVA (2023-2025), SPiDR (2021-2024) Grants: AVL Hans List Fonds, Austrian Research Promotion Agency Labs/Teams: Member of TU Wien's Embedded Systems Security Group, collaborates with industrial partners like AVL List GmbH Media engagements include a TV interview in Bosnia discussing academic career paths and a feature in Kleine Zeitung highlighting IT talent development.

Nicole McFarlaneمشاهده پروفایل

دانشیار

• Electrical Engineering
• Microelectronics
• Biosensors
• +۳ مورد دیگر

Nicole McFarlane is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK), where she also holds the TCE Advance Professor title. She is affiliated with the Tickle College of Engineering and leads the Micro-Bio-Electronics Group (MLAB), focused on advanced sensor technologies. Education: Nicole McFarlane earned a PhD in Electrical Engineering from the University of Maryland, College Park (2010), and dual bachelor's (BS, 2001) and master's (MS, 2003) degrees in Electrical Engineering from Howard University, Washington D.C. Research Interests: Her work centers on developing compact, efficient sensor systems using mixed-signal CMOS strategies and nanotechnology. Applications span electrochemical biosensors, point-of-care medical devices, nuclear imaging panels, and hardware security for embedded systems. The MLAB lab emphasizes cost-effective, scalable solutions for healthcare, military, and research domains. Article Trends: Recent publications (2024) highlight innovations in perimeter-gated SPAD arrays for cryptographic security, silicon photomultipliers for nuclear imaging, and asynchronous readout architectures. 2023 work includes multimodal gesture recognition systems and pH sensors with integrated encryption. These studies reflect her focus on merging cutting-edge CMOS technologies with secure, multifunctional sensor design. Scientific Awards: No awards explicitly listed in the provided texts. Advising & Grants: Nicole advises students in the Kao Department's graduate and undergraduate programs. While specific advisee names are not provided here, her research is supported by grants in microelectronics and sensor integration. She has pioneered portable biosensor systems, including wireless pH-impedance devices and encryption architectures for wearable health monitors. Labs & Teams: As founder/leader of the Micro-Bio-Electronics Group (MLAB), she oversees projects combining CMOS fabrication with nano/micro-fabrication techniques. The lab explores applications ranging from implantable medical sensors to battlefield-ready detection systems, emphasizing interdisciplinary collaboration.