جست‌وجوی استاد و پژوهشگر

• Information Security
• Cryptography
• Computer Networks
• +۳ مورد دیگر

Boncho Ivanov Aleksandrov is a Professor at the Technical University - Gabrovo, Faculty of Computer Systems and Technologies, Department of Information Security and Computer Systems. He has maintained an active research and teaching career with numerous publications and research projects spanning over a decade. His research interests focus on information security, cryptography, computer networks, and electronic business. His work bridges theoretical cryptographic methods with practical business applications, developing solutions for secure information exchange, data protection, and business process modeling in digital environments. Alexandrov's publication record shows a consistent progression from foundational cryptographic research to more applied business and management contexts. His recent work (2017-2019) demonstrates increased focus on cloud computing environments, IT resource management, and electronic business security, while maintaining his expertise in core information security principles. He has successfully supervised PhD research, with Petko Vasilev Kochevski completing work on 'Hybrid cryptographic tools and systems for information protection in computer networks and systems.' Alexandrov has led multiple significant research projects at Technical University - Gabrovo, particularly in information technology management (2015), business information flows (2014), and business process modeling (2008-2011). His leadership roles in these projects demonstrate his standing within the academic community and expertise in the field.

Koushik Sinhaمشاهده پروفایل

دانشیار

• Mobile Computing
• Wireless Ad hoc Networks
• Wireless Sensor Networks
• +۶ مورد دیگر

Koushik Sinha is an Associate Professor at the School of Computing, Southern Illinois University Carbondale, where he directs the Complex Networks & Applications Lab. With extensive experience spanning academia and industry—including roles at Qatar Computing Research Institute, Hewlett-Packard Labs, and Honeywell—he brings practical expertise to his research in wireless networking, complex systems, and human-machine collaboration. His work bridges theoretical foundations with real-world applications across multiple domains. Education Ph.D. in Computer Science, Jadavpur University, India (2007) M.S. in Computer Science, Clemson University, USA (2003) B.Tech. in Computer Science, Kalyani Government Engineering College, India (2001) Research Focus Dr. Sinha's research centers on energy-efficient wireless communication protocols, 5G/6G networking, and complex network analysis. His "Communication through Silence" paradigm represents a novel approach to minimizing energy consumption in wireless networks. Current projects address critical challenges in ultra-dense 5G deployments, smart city infrastructure, and the CrowdCloud platform for hybrid human-machine computing. His work increasingly intersects with societal challenges in rural connectivity, agricultural technology, and public health. Publication Trends Analysis of Dr. Sinha's recent publications reveals a strategic progression from core wireless networking research toward interdisciplinary applications. While maintaining expertise in energy-efficient protocols and network optimization, his work now addresses smart city infrastructure, rural broadband expansion, precision agriculture, and pandemic response systems. His publications demonstrate growing integration of machine learning techniques and increasing focus on real-world impact in underserved communities. Scientific Recognition Senior Member, IEEE Grand Prize Winner of 9th OSS World Challenge for AIDR (2015) N.V. Gadadhar Memorial Award from IETE (2011) Young Scientist Award from Indian Science Congress Association (2009) Mentorship and Leadership Dr. Sinha has successfully guided multiple Ph.D. and MS students through research in wireless networking and complex systems. His leadership extends to conference organization as General Co-Chair for IEEE ANTS 2018 and TPC Co-Chair for previous editions. Within his department, he has shaped curriculum as Course Coordinator for key offerings including Distributed Systems, Mobile and Wireless Computing, and Computer Architecture. Research Infrastructure The Complex Networks & Applications Lab under Dr. Sinha's direction supports cutting-edge research in wireless protocols, network optimization, and hybrid computing systems. Current projects include 5G network optimization, ultra-dense base station placement, and the CrowdCloud platform for human-machine collaborative computing, providing students with opportunities to address real-world challenges in smart cities, rural connectivity, and emergency response systems.

Felix Hermoniesمشاهده پروفایل

استاد

• Data Protection Law
• Media Law
• European Law
• +۲ مورد دیگر

Prof. Dr. Felix Hermonies serves as Professor in the Department of Communication at Darmstadt University of Applied Sciences, specializing in legal frameworks for digital environments. His academic profile integrates practical legal experience with scholarly research in evolving technological contexts. Research focuses on Data Protection Law , Media Law , and European Law , particularly examining AI's legal implications, pandemic-era data processing, and surveillance technologies. His work bridges theoretical jurisprudence with real-world applications in sports, retail, and public administration. Recent publications demonstrate consistent engagement with emerging legal challenges, showing strong thematic continuity in data governance across sectors. Key trends include adapting privacy principles to AI systems, balancing security needs with fundamental rights in surveillance contexts, and developing practical compliance frameworks for public institutions. Professional background includes legal practice for national/international entities and expertise in IT law certification. He actively contributes to scholarly discourse through book chapters and critical reviews of legal informatics literature.

• Cryptography
• Cryptographic Protocols
• Provable Security
• +۳ مورد دیگر

Benjamin Dowling serves as a Senior Lecturer in Cryptography within the Cybersecurity group at King's College London. Previously, he held academic positions at the University of Sheffield (Lecturer), ETH Zurich (Postdoctoral Researcher), and Royal Holloway, University of London (Research Fellow). He completed his PhD at Queensland University of Technology in 2017. Education PhD in Cryptography, Queensland University of Technology (2017) with thesis: 'Provable Security of Internet Protocols' Research Focus Dowling specializes in provable security of real-world cryptographic protocols and anticipatory defense against future threats. His work bridges theoretical cryptography and practical implementation, targeting vulnerabilities in active adversary scenarios. Key methodologies include formal verification of protocol constructions and standards-influencing interventions. Publication Trends His research demonstrates consistent focus on securing messaging ecosystems (e.g., Signal protocol analysis), post-quantum transitions ('Post Quantum Noise'), and authentication resilience against active attacks. These works collectively advance cryptographic standards through rigorous security proofs and practical protocol redesign, emphasizing real-world applicability over theoretical constructs. Research Affiliation At King's College London, Dowling contributes to the Cybersecurity research group's mission of developing next-generation cryptographic protections against evolving threat landscapes, with particular emphasis on protocol-level defenses.

Ronald Petrlicمشاهده پروفایل

استاد پژوهشی

• Information Security
• Technical Data Protection
• Self-Sovereign Identity
• +۱ مورد دیگر

Ronald Petrlic serves as Research Professor at Nuremberg University of Applied Sciences (TH Nuremberg) since winter semester 2023, holding the position of Professor for Information Security since January 2020. Previously, he led the Department for Technical and Organisational Data Protection at Baden-Württemberg's Data Protection Authority (2015-2019) and conducted research at Saarland University, UC Irvine, and Paderborn University. His research centers on integrating data protection by design across technological systems, with core expertise in Information Security, Technical Data Protection, Self-Sovereign Identity, and Technology-Law interfaces. He advocates that privacy frameworks should enable rather than obstruct innovation, emphasizing practical implementation in real-world systems. Recent publications reveal strong trends in GDPR technical compliance, self-sovereign identity architectures, and privacy-enhancing technologies for email systems, smart infrastructure, and health data. His work consistently bridges regulatory requirements with cryptographic solutions, particularly focusing on decentralized identity models and legacy system modernization. Key recognitions include: Authoring the seminal German textbook on technical data protection (2nd edition) Overseeing Germany's first GDPR enforcement fine Founding the ACM Symposium's 'Privacy by Design in Practice' track (2018-present) Serving as European Commission rapporteur for C-ITS initiatives Throughout his career, Petrlic has directed significant projects including Wincor Nixdorf's ATM integrity patent (2009-2010), the 'Securing the Financial Cloud' BMBF initiative (2014-2015), and Baden-Württemberg's eAkte, Smart City, and e-prescription implementations (2015-2019). His current 2022 'Email Security in Practice' project continues this applied research tradition, translating academic insights into operational security frameworks for diverse sectors.

Thomas Beckerمشاهده پروفایل

استاد

Thomas Becker serves as a Professor at Nuremberg Institute of Technology, where he maintains an office in room KA.024. His primary contact email is thomas.becker@th-nuernberg.de , and he utilizes PGP encryption for secure communications with a public key fingerprint 9148EE1538C849F7A0D5AE47DEC9464C5F8C5E81 available through the OpenPGP key server. As a core faculty member with the academic rank of Professor, his institutional presence is anchored in the university's technical infrastructure without explicit departmental or school affiliations specified in available materials.

Injoo Kimمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Intelligent Tutoring Systems
• Vehicular Ad-hoc Networks
• +۴ مورد دیگر

Dr. Injoo Kim serves as Associate Professor and Program Director of the Computer and Information Science Program at East-West University, where she has taught since 2000. Her academic foundation includes a B.S. in Computer Science from Kwangwoon University (South Korea) and M.S./Ph.D. degrees from Illinois Institute of Technology. Her research spans Artificial Intelligence—specifically Intelligent Tutoring Systems—and security challenges in Vehicular Ad-hoc Networks (VANET), evolving toward Software Engineering Project Management and cloud privacy solutions. Key contributions address VANET security threats (2010-2014), federated identity privacy (2016-2018), and operational management innovations (2023). Publications reveal a trajectory from network security fundamentals to applied systems engineering, emphasizing practical educational frameworks in recent work. She actively shapes academic discourse as Technical Program Committee member for ACM SAC (2010-2014) and IEEE ICHIT (2006-2014), alongside conference session chair roles. No scientific awards were documented. Her extensive course instruction—from AI and Data Science to Web Design and Operating Systems—underscores commitment to curriculum development, though specific student mentorship details remain unlisted.

Stephen Tateمشاهده پروفایل

استاد

• Computer Security
• Cryptography
• Secure Software Systems
• +۴ مورد دیگر

Dr. Stephen Tate is a Professor and Graduate Program Director in the Department of Computer Science at the University of North Carolina at Greensboro (UNCG). He joined UNCG in 2007 during its formative years as the department was established from a split of the former Department of Mathematical Sciences. Prior to UNCG, he spent 14 years at the University of North Texas (UNT), where he founded the Center for Information and Computer Security, recognized by the NSA and DHS as a National Center of Academic Excellence in Information Assurance Education. His academic background includes a Ph.D. from Duke University (1991) and a NASA-supported postdoctoral fellowship. Dr. Tate’s research focuses on computer security, cryptography, and secure software systems. He has pioneered techniques in cryptographic protocol design, secure hardware integration (e.g., Trusted Platform Modules), and high-assurance software development. His work emphasizes creating systems with strong security guarantees and has been supported by the National Science Foundation (NSF), industry partners, and Texas-based research programs. His recent publications span areas like secure container repositories, vulnerability analysis in Linux distributions, and cryptographic key management. Notable contributions include advancing the Advanced Encryption Standard (AES) and developing frameworks for dynamic proofs of data possession using trusted hardware. His educational innovations include integrating tablet-based active learning in lectures. Dr. Tate has held leadership roles, including Department Head at UNCG (2007-2019), and has contributed to interdisciplinary projects such as the UNT-led regional initiative to strengthen information assurance education. His research also extends to foundational topics in algorithms, including online algorithms, computational geometry, and data compression.

Sonal Shreyaمشاهده پروفایل

استادیار

• Spintronics
• Neuromorphic Engineering
• Spintronic Devices
• +۷ مورد دیگر

Sonal Shreya is a Tenure Track Assistant Professor at the Department of Electrical and Computer Engineering, Aarhus University, within the Faculty of Engineering. Her research focuses on spintronics, neuromorphic engineering, and energy-efficient computing architectures. She explores applications in magnetic memory technologies, spintronic devices, and reservoir computing systems. Her work emphasizes developing novel circuits for in-memory computing, leveraging spintronic components like magnetic tunnel junctions (MTJs), STT-RAM, and spin-torque nano-oscillators. Key areas include energy-efficient data encryption, low-power pattern recognition, and multi-state memristor-based neuromorphic systems. She also investigates design thinking applications in engineering innovation, such as Tesla technology advancements. Recent studies highlight contributions to skyrmion dynamics for racetrack memory, vortex-based security solutions (PUF/TRNG), and thermal-induced memristor behaviors. Her publications span from 2014 to 2025, demonstrating a progression toward advanced spintronic applications in computing and sensing. Dr. Shreya collaborates on compact device modeling for circuit simulations and explores granular materials for reservoir computing. Her research bridges fundamental spintronics physics with practical applications in low-power electronics and hardware security.

Shafi Goldwasserمشاهده پروفایل

استاد

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

Shafi Goldwasser is the RSA Professor (Post Tenure) of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) and holds a professorship in the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley. She is a core member of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), particularly within the Theory of Computation Group and Complexity Theory Group. Her work focuses on advancing cryptographic foundations, computational complexity, and algorithmic security. Goldwasser has pioneered research in areas such as zero-knowledge proofs, homomorphic encryption, and secure multiparty computation, with applications in privacy, cybersecurity, and AI alignment. Research Interests: Goldwasser’s research spans cryptography, complexity theory, and the intersection of computer science with societal challenges. Her work emphasizes: Designing provably secure cryptographic systems Algorithmic robustness and adversarial machine learning Privacy-preserving technologies for healthcare and data collaboration Formal verification of AI models Cross-disciplinary applications in law and biology Scientific Contributions: A 2017 ACM Fellow, Goldwasser has led major initiatives like the Homomorphic Encryption Standard project. Her research groups at MIT and CSAIL explore foundational problems in computational complexity while addressing real-world challenges such as securing emerging communication systems and reconciling legal secrecy with transparency through cryptographic tools. Collaborations & Teams: She co-leads the Cryptography and Information Security Group and Complexity Theory Group at MIT, collaborating with experts like Vinod Vaikuntanathan and Yael Kalai. Her work integrates theoretical breakthroughs with practical applications, such as secure genomic analysis and AI alignment frameworks.

Divyakant Agrawalمشاهده پروفایل

استاد

• Big Data
• Cloud Computing
• Distributed Systems
• +۵ مورد دیگر

Divyakant Agrawal is a Distinguished Professor and Chair of the Computer Science Department at the University of California, Santa Barbara (UCSB). He holds a PhD from SUNY Stony Brook and a BS from Birla Institute of Technology and Science. His research focuses on large-scale distributed systems, cloud data management, and database security, with notable contributions to geo-replicated data, privacy-preserving techniques, and social network analysis. Agrawal has led NSF-funded projects on data summarization, hardware acceleration, and wireless sensor networks. He served as VP of Data Solutions at ASK.com and as a visiting senior researcher at NEC Laboratories and the University of Hong Kong. Education: PhD (Computer Science, SUNY Stony Brook), BS (Electrical Engineering, BITS Pilani). Leadership Roles: Chair of UCSB Computer Science Department (1999–2003), Visiting Professorships at National University of Singapore and University of Hong Kong. His research spans distributed algorithms, database concurrency control, and privacy in cloud systems. Key areas include transaction processing, data stream operators, and fraud detection in advertising networks. Agrawal has authored over 300 papers and co-edited journals like the VLDB. He is a Fellow of IEEE, ACM, and AAAS, and has received awards such as the Outstanding Graduate Mentor from UCSB (2011). Professional Contributions: Served on program committees for SIGMOD, VLDB, and IEEE conferences; led editorial roles for Distributed and Parallel Databases and the VLDB Journal. His work on systems like G-Store (cloud data retrieval) and Zephyr (elastic databases) showcases innovations in scalability and autonomy.

• Cybersecurity Analytics
• AI for Cyber Defense
• Industrial Control Systems Security
• +۳ مورد دیگر

Prof. Pete Burnap is Professor of Data Science & Cybersecurity at Cardiff University, where he directs the Cardiff Centre for Cyber Security Research (ACE-CSR) and the Wales Cyber Innovation Hub. His research develops AI-driven cybersecurity solutions combining machine learning with threat intelligence. Key research areas include: malware behavior prediction; adversarial AI; industrial control system security; cyber-physical system protection; and real-time attack mitigation. His team developed novel ransomware defense techniques reducing file encryption by 92% and methods for securing IoT/smart grid infrastructure. Burnap leads major initiatives including the £13.8M Wales Cyber Innovation Hub and the PETRAS National Centre for IoT Cybersecurity. He holds advisory roles with UK Government's AI Council and maintains industry partnerships with Airbus, where he directed cyber security analytics research. Recent publications focus on operational technology security, industrial control systems protection, and cyber-physical risk assessment. His work has been applied in critical infrastructure sectors including energy, manufacturing, and transportation.

Joseph Jaegerمشاهده پروفایل

استادیار

• Cryptography
• Cybersecurity
• Theoretical Computer Science

Joseph Jaeger is an Assistant Professor at the Georgia Institute of Technology's School of Cybersecurity and Privacy. His research focuses on cryptography, theoretical computer science, and cybersecurity, with a particular emphasis on cryptographic proofs, encryption security, and privacy-preserving protocols. Education: PhD in Computer Science from University of California, San Diego (advisor: Mihir Bellare) Postdoctoral Scholar at University of Washington (mentor: Stefano Tessaro) Bachelor's in Computer Science and Mathematics from Rutgers University (advisor: David Cash) His work spans cryptographic security models, memory-tightness analysis, and secure messaging protocols, addressing challenges in adaptive attacks, key-length extension, and privacy-preserving systems. Articles reflect expertise in both theoretical and applied cryptography, including contributions to end-to-end encryption standards. Joseph's research has been published in venues covering quantum cryptography, secure communication frameworks, and computational complexity, though specific awards or grants are not mentioned in the provided text.

Tong Wuمشاهده پروفایل

استادیار

• Reinforcement Learning
• Graph Signal Processing
• Graph Neural Networks
• +۵ مورد دیگر

Tong Wu is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Central Florida (UCF). He received his Ph.D. in Information Engineering from The Chinese University of Hong Kong in 2021 and served as a Postdoctoral Associate at Cornell Tech, Cornell University from 2021-2024. He leads the Intelligent Control and Sustainable Energy Systems (ICSES) Lab at UCF, focusing on advanced control systems for sustainable energy applications. Research Interests: Dr. Wu's research spans several interconnected areas of electrical engineering and computer science, with particular emphasis on: Safe reinforcement learning for critical infrastructure systems Graph signal processing and neural network applications in power grids Distributed optimization techniques for smart grids Machine learning approaches for energy system security and stability Privacy-preserving methods for power system operations Publication Trends: His recent publications demonstrate a strong focus on applying machine learning techniques to power systems challenges. Key themes include reinforcement learning for grid control and optimization, graph neural networks for spatiotemporal power system data, privacy-preserving computation in distributed energy systems, and advanced control strategies for electric vehicle integration. His work consistently bridges theoretical AI advancements with practical power engineering applications. Professional Activities: Dr. Wu actively contributes to the academic community through journal and conference reviews for prestigious publications including: IEEE Transactions on Power Systems IEEE Transactions on Smart Grid IEEE Transactions on Signal Processing IEEE Internet of Things Journal IEEE PES General Meeting IEEE Conference on Decision and Control

Patrick Felkeمشاهده پروفایل

استاد

• IT Security
• Cryptography
• Cryptanalysis
• +۶ مورد دیگر

Prof. Dr. Patrick Felke is a Professor for IT Security at the University of Applied Sciences Emden/Leer, affiliated with the Department of Technology, Electrical Engineering and Informatics. His research focuses on advanced cryptographic techniques, including cryptanalysis of encryption algorithms, IoT security vulnerabilities (e.g., Z-Wave protocols), and mathematical foundations of cryptographic primitives. He leads the IT-Sec Lab (https://itsec-lab.hs-emden-leer.de/), which explores topics like multivariate cryptography, symmetric cipher design, and side-channel attack mitigation. His research spans both theoretical and applied aspects of information security, with notable contributions to cryptanalysis of TETRA encryption algorithms, analysis of multivariate encryption schemes (e.g., EFLASH), and identification of critical flaws in wireless communication standards. Felke also contributes to the Digital Hub Ostfriesland initiative, focusing on IT security advancements in regional technology ecosystems. Key areas of expertise include: Cryptographic protocol vulnerability analysis Z-Wave and IoT device security Design and cryptanalysis of symmetric/asymmetric encryption systems Mathematical foundations of nonlinear functions in cryptography Publications emphasize practical cryptanalysis methods, algorithmic decomposition techniques, and cryptographic standard evaluation. His work bridges academic research with real-world cybersecurity challenges in telecommunications and embedded systems.