جست‌وجوی استاد و پژوهشگر

Douglas Stebilaمشاهده پروفایل

دانشیار

• Applied Cryptography
• Post-Quantum Cryptography
• Internet Security
• +۳ مورد دیگر

Roles & Affiliations : Associate Professor (2018–present) in the Department of Combinatorics & Optimization at the University of Waterloo. Scientific Advisor to SandboxAQ (2022–present). Former roles include Senior Lecturer at Queensland University of Technology (2013–2016) and Assistant Professor at McMaster University (2016–2018). Education : PhD in Combinatorics & Optimization (2004–2009), University of Waterloo. MSc in Mathematics (2003–2004), University of Oxford. Bachelor's degree (not specified), University of Waterloo (undergraduate research assistant, 2001–2003). Research Interests : Focuses on applied cryptography, including post-quantum key exchange, elliptic curve cryptography, and internet security protocols (TLS, SSH, Tor). Specializes in transitioning quantum-resistant cryptography into real-world standards. His work emphasizes practical implementations and performance optimization for secure communication systems. Grants & Funding : NSERC Alliance Consortia Quantum Grant ($4.15M, 2023–2027). NSERC Discovery Grant ($240K, 2022–2027). NSERC Alliance Grant ($400K, 2021–2022) for quantum-safe networking. Conference Roles : Served as Program Committee Co-Chair for Crypto 2024 and General Chair for Real World Cryptography 2024. Active on editorial boards of IACR Communications in Cryptography and Designs, Codes and Cryptography. Co-founder of Ontario Cryptography Day. Software Contributions : Co-founder of the Open Quantum Safe project. Contributed to OpenSSL and NSS toolkits during his tenure at Sun Microsystems (2001–2003).

Thomas Tie Luoمشاهده پروفایل

دانشیار

• Trustworthy Artificial Intelligence
• Explainable AI (XAI)
• Adversarial Machine Learning
• +۱۲ مورد دیگر

Thomas Tie Luo is a tenured Associate Professor in the Department of Electrical and Computer Engineering and a courtesy joint appointee in the Department of Computer Science at the University of Kentucky, within the Stanley and Karen Pigman College of Engineering. Previously, he served as an Associate Professor at Missouri University of Science and Technology. He holds a Ph.D. in Electrical and Computer Engineering from the National University of Singapore. Ph.D., Electrical and Computer Engineering, National University of Singapore His research focuses on Trustworthy Artificial Intelligence, particularly in healthcare, medicine, and the Internet of Things (IoT). Key areas include explainable AI (XAI), adversarial and robust machine learning, security and privacy in federated learning, and time series analysis. He develops both theoretical models and real-world systems, such as federated satellite learning frameworks and anomaly detection platforms for edge computing. His work bridges deep learning with practical applications in medical imaging, dementia detection, and secure IoT environments. The recent publications (2023–2025) demonstrate a strong trend in advancing federated learning for satellite and edge networks, enhancing model interpretability in healthcare, and improving adversarial robustness in deep learning. These works appear in top-tier venues like AAAI, PAKDD, IEEE JSAC, and PerCom, often receiving recognition through best paper awards. His research integrates computer vision, signal processing, and secure distributed learning, reflecting a multidisciplinary approach to trustworthy AI. His scientific achievements have been recognized with multiple awards, including: Best Paper Award at PAKDD'25 workshop Best Paper Runner-Up at PAKDD'24 Best Paper Runner-Up at PerCom'24 Best Student Paper Award at AAIM'18 Best Paper Award at ICTC'12 Best Paper Finalist at INFOCOM'15 Dr. Luo advises PhD students in computer science, electrical engineering, and computer engineering. He has successfully mentored several doctoral graduates now in academic and industry roles, including Assistant Professors and Research Scientists at institutions like Washington State University and ByteDance. He has served as a grant panelist for the NSF, U.S. Department of Energy, and Euregio Science Fund, and as an external evaluator for faculty promotion at the University of Washington. His editorial roles include Area Editor for Pervasive and Mobile Computing and Ad Hoc Networks , and Associate Editor for several journals. He leads research efforts involving real testbeds and system implementations, such as federated learning frameworks for LEO satellite networks and lightweight object detection systems like YOGA. His lab emphasizes not only algorithmic innovation but also practical validation through deployed systems in edge computing, IoT, and mobile crowdsensing.

• Machine Learning
• Deep Learning
• Pattern Recognition
• +۶ مورد دیگر

Angelina Njegus is a Full Professor at Singidunum University , where she has worked since 2005. She holds a Ph.D. in Business Studies and has extensive experience in both academia and industry, including consulting for IBM. Her research focuses on machine learning algorithms , deep learning , and Big Data Analytics , with applications in pattern recognition , tourism technology , and blockchain systems . Bachelor's: Faculty of Organizational Sciences, Information Systems (1994) Master's: Faculty of Organizational Sciences, Industrial Engineering (1999) Doctoral: Faculty of Business Studies (2003) Her recent publications (2023-2025) demonstrate expertise in metaheuristic optimization for machine learning, audio-visual emotion recognition , and cryptocurrency applications in tourism . She pioneered the Virtual University platform (MTVU) and contributes to agile methodologies in software development. Collaborations include projects with researchers from IEEE, Springer, and international institutions. Research interests span AI ethics in human resources , IoT integration in tourism , and security risks in cloud computing . Her work appears in journals like Complex & Intelligent Systems and conferences including ICPR and FG 2017 . She has authored books on software design patterns and information systems in tourism .

• Discrete Mathematics
• Coding Theory
• Algorithms
• +۶ مورد دیگر

Assoc. Prof. Zlatko Georgiev Varbanov is a distinguished academic at the Faculty of Mathematics and Informatics, University of Veliko Tarnovo (Bulgaria). With expertise spanning discrete mathematics, coding theory, and software development, he has established himself as a prominent researcher in both theoretical and applied computer science domains. His scholarly work bridges mathematical theory with practical implementations, particularly in DNA coding, quantum error correction, and software engineering principles. Dr. Varbanov's research interests encompass a diverse range of topics including Discrete Mathematics, Coding Theory, Algorithms, Programming, DNA codes, Quantum codes, and Information security. His scholarly work demonstrates a consistent focus on the intersection of algebraic structures and practical coding applications, with particular emphasis on self-dual codes over finite fields and their applications in DNA computing and quantum information theory. In software engineering, he has made significant contributions to design patterns, asynchronous programming in C#, and static site generation techniques. Analysis of Dr. Varbanov's recent publications reveals a dual research trajectory: one strand focusing on theoretical aspects of coding theory (particularly DNA codes and quantum codes), and another addressing practical software engineering challenges. His work on design patterns, SOLID principles, and asynchronous programming in C# demonstrates his commitment to improving software development practices. The publications on static site generation and data storage services reflect his engagement with contemporary web development technologies and their optimization. Dr. Varbanov has been actively involved in numerous research projects, with current engagements extending into 2025. These projects focus on AI-driven information systems, mobile technologies for students with special needs, digital accessibility for visually impaired users, and enhancement of research indicators for faculty members. His collaborative work spans multiple institutions and demonstrates a strong commitment to both theoretical research and practical applications that address real-world challenges.

Erivelton Nepomucenoمشاهده پروفایل

دانشیار

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +۶ مورد دیگر

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

Mario Stipčevićمشاهده پروفایل

استاد

• Quantum optics
• Quantum information
• Quantum communication
• +۵ مورد دیگر

Mario Stipčević is a senior scientist at the Ruđer Bošković Institute (RBI) in Zagreb, Croatia, where he heads the Photonics and Quantum Optics Laboratory within the Division of Experimental Physics. Holding the Croatian rank of scientific advisor in permanent position —equivalent to full professor—he has led national and international research efforts spanning quantum optics, quantum-information science, and high-energy neutrino physics. Education 2011–2012: Visiting Specialization in Experimental Quantum Information, University of California, Santa Barbara, USA 2010–2011: Fulbright Scholar, Experimental Quantum Information, University of California, Santa Barbara, USA 1994: PhD in Particle Physics, Université de Savoie, Chambéry, France 1991: BSc in Theoretical Nuclear Physics, Faculty of Science, University of Zagreb Research Interests His work focuses on quantum communication , quantum randomness , single-photon detection , quantum key distribution , and quantum holography . Early in his career he contributed to neutrino oscillation experiments (NOMAD, OPERA) and calorimetry R&D for the LHC. Scientific Awards Fulbright Scholarship (2010–2011) Golden Medal ARCA 2005, Zagreb International Autumn Fair Golden Medal, Salon International de Inventions, Geneva 2005 Young Investigator Award, Ministry of Science and Technology, Croatia (1998) Projects & Leadership Since 2014 he has been Head of the Photonics and Quantum Optics Research Unit at the RBI Centre of Excellence for Advanced Materials and Sensing Devices. Earlier projects include the Croatian Ministry of Science grant Experiments in Quantum Communication and Quantum Information (2007–2014) and World-Bank-funded development of a Quantum Random Bit Generator (2004–2005). Laboratory & Teams At RBI he directs the Photonics and Quantum Optics Laboratory , a multi-disciplinary group developing photon-counting detectors, entangled-photon sources, and quantum-network testbeds. The lab participates in European initiatives such as the European Quantum Internet Alliance and the ESSnuSB neutrino super-beam design study .

• Cryptography
• Secure Multi-Party Computation
• Blockchain
• +۳ مورد دیگر

Dr Aydin Abadi is a Research Fellow at Newcastle University specializing in cryptography and security systems. His research spans privacy-preserving technologies, blockchain architectures, and secure multi-party computation protocols, with active publication output from 2015 through 2025. His primary research domains include Cryptography, Secure Multi-Party Computation (particularly Private Set Intersection variants), Blockchain Applications, Privacy-Preserving Computation, Distributed Systems Security, and Federated Learning. He has pioneered protocols for verifiable delegated computation on outsourced datasets and developed novel approaches to Byzantine fault tolerance in distributed ledgers. Analysis of his 9 publications (2015-2025) reveals an evolutionary trajectory from foundational cryptographic protocols (2015-2019) toward applied blockchain systems and machine learning security (2023-2025). His recent work integrates cryptographic techniques with federated learning frameworks and develops commercial-grade blockchain alternatives, demonstrating consistent innovation in bridging theoretical cryptography with real-world system implementations.

Cüneyt BAYILMIŞمشاهده پروفایل

استاد

• Internet of Things
• Computer Vision
• Wireless Networks
• +۸ مورد دیگر

Prof. Dr. Cüneyt BAYILMIŞ is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. He has been serving in this position since 2021, following his promotion from Associate Professor (2015-2021). His academic career at Sakarya University spans over 15 years, with previous appointments in the Faculty of Technology and Faculty of Technical Education. Dr. BAYILMIŞ earned his Doctorate in 2006 from Kocaeli University with a thesis on "Design of an interconnection unit that extends CAN segments using IEEE 802.11B clan," followed by a Master's degree in 2003 and Bachelor's degree in 2001, both from Sakarya University. His research spans multiple domains in computer engineering, with a strong focus on Internet of Things (IoT) , Computer Vision , Wireless Networks , and Cyber Security . His work demonstrates significant contributions to real-time systems, object detection, and lightweight cryptographic solutions for resource-constrained IoT devices. His recent publications show increasing interest in quantum neural networks for security applications and autonomous charging systems using computer vision. Dr. BAYILMIŞ's publication record reveals a consistent research trajectory focused on practical applications of networking technologies, with recent works emphasizing disaster management systems, D2D communication for public safety networks, and advanced techniques for IoT security. His research bridges theoretical concepts with real-world implementations, particularly in specialized domains like shore-to-ship charging and medical monitoring systems. As an academic advisor, Dr. BAYILMIŞ has supervised multiple graduate students, including doctoral candidate İSMAİL KIRBAŞ and master's students İBRAHİM NALBATCI, GAMZE DOĞALI, and ZUHAL YILDIRIM. His teaching portfolio includes courses on IoT applications, microprocessor systems, wireless network technologies, and computer engineering design. He has co-authored the book "Nesnelerin İnternet'i: Teori ve Uygulamaları" (2019) and contributed a chapter on "Yapay Zeka Dijital Sistemler ve Uygulamaları" (2021), demonstrating his commitment to knowledge dissemination in emerging technology fields.

Ansuman Bhattacharyaمشاهده پروفایل

استادیار

• Networks
• Network Security
• Next Generation Networks
• +۵ مورد دیگر

Ansuman Bhattacharya serves as an Assistant Professor in the Department of Computer Science at Southern Illinois University's College of Engineering, where he directs the Advanced Networking and Network Security (ANNS) Laboratory. His research spans multiple critical areas of modern networking and security with a focus on next-generation communication systems. Dr. Bhattacharya holds a Ph.D. in Radio Physics and Electronics from the University of Calcutta, establishing a strong foundation for his work in advanced networking technologies. His educational background bridges physics and computer science, providing unique insights into network communication challenges. His research interests center around Networks and Network Security with particular emphasis on Next Generation Networks, Internet-of-Things, Cognitive Radio Networks, Software Defined Networks, Green Communication, and Wireless Network Security. This diverse portfolio addresses critical challenges in modern communication systems, from energy efficiency to security protocols for emerging technologies. His work often combines theoretical frameworks with practical implementations, as evidenced by numerous publications in top-tier journals and conferences. Dr. Bhattacharya's research output demonstrates a clear progression toward increasingly sophisticated security protocols for IoT and wireless systems, with recent work focusing on zero-trust architectures, distributed authentication systems, and AI-enhanced security frameworks. His publications span prestigious venues including IEEE Transactions, Elsevier journals, and major international conferences. Best Paper Award at International Symposium on Intelligent Robotics and Industrial Automation (IRIA-2021) for 'Secure Communication System Implementation for Robot-Based Surveillance Applications' 3rd Best Paper Award at International Conference on Recent Trends in Information Technology (IEEE ICRTIT) for 'Image Stenography using Advanced Encryption Standard for implantation of Audio/Video Data' As Director of the ANNS Lab, Dr. Bhattacharya mentors numerous Ph.D., MS, and undergraduate students while securing research funding from agencies including Technology Innovation in Exploration & Mining Foundation (TEXMiN) and IMPRINT-II, Science & Engineering Research Board (SERB), DST, Govt. of India. His lab benefits from state-of-the-art computing resources including high-performance workstations with NVIDIA RTX A6000 and RTX 4090 graphics cards, providing students with cutting-edge tools for network simulation and security research. The lab actively pursues research projects in sensor-based dust suppression systems and robotic surveillance technologies, demonstrating practical applications of theoretical networking concepts.

• Internet of Things (IoT)
• Network Security
• Post-Quantum Cryptography
• +۶ مورد دیگر

Daniel Díaz Sánchez is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , where he serves as Deputy Director of Laboratories . His research focuses on IoT security , Post-Quantum Cryptography , and network protocols . Email: daniel.diaz@uc3m.es Office: 4.0.F04 - Quevedo Towers (Leganés) His recent work explores DNSSEC soft delegation for microservices, quantum random number generators , and machine learning applications in cybersecurity. Key publication themes include IoT credential management , secure communication protocols , and control system optimization .

SEMA KAYHANمشاهده پروفایل

استاد

• Image Processing
• Compressive Sensing
• Signal Processing
• +۱۱ مورد دیگر

Professor Sema Kayhan is a faculty member at Gaziantep University , Faculty of Engineering , Department of Electrical and Electronic Engineering . She has held the academic rank of Professor since 2021, after progressing from Associate Professor (2016-2021) and Assistant Professor (2007-2015). Her career began at Gaziantep University as a Research Assistant (1996-2005) and includes administrative roles as Vice Head of Department (2013-2015). Doctorate: 1999-2005, Gaziantep University Institute of Science, Electrical and Electronic Engineering Degree: 1996-1999, Gaziantep University Faculty of Engineering, Electrical and Electronic Engineering & Computer Science Licence: 1991-1996, Gaziantep University Faculty of Engineering, Electrical and Electronics Engineering (English) Her research spans Image Processing , Compressive Sensing , Machine Learning , and Biomedical Signal Processing , with notable contributions to ECG signal reconstruction , chaotic encryption , and FPGA-based hardware acceleration . She has supervised 23 theses, including PhD works on hybrid deep learning for schizophrenia detection , sparse extreme learning machines , and smart home solar energy systems . Her 15 most recent publications (2015-2022) demonstrate expertise in image watermarking , encryption , antenna design , and ECG signal processing , often leveraging chaos theory , extreme learning machines , and FPGA implementations . She has also contributed to NLP for Arabic-alphabet languages and retinal blood vessel segmentation via transfer learning. Professor Kayhan's projects include renewing jacquard control systems (2007-2008) and ECG signal reconstruction via compressive sensing on FPGA (2016-2017). She co-designed a smart home model using solar energy (2017) and has been a Member of the Chamber of Electrical Engineers since 1997.

• E-learning
• Multimedia Technologies
• Information Technologies in Education
• +۱ مورد دیگر

Assoc. Prof. Petya Asenova, PhD, is a permanent faculty member at New Bulgarian University's Bachelor's Faculty since 2001, holding the rank of Associate Professor in the Department of Informatics. She has served as Director of bachelor's programs in Informatics and Network Technologies, Director of the Master's program in IT Project Management, Head of the Department of Informatics, and Dean of the Bachelor's Faculty. Her academic credentials include: Bachelor's degree in Computational Mathematics from Plovdiv University "P. Hilendarski" Master's degree in Mathematics Education from Plovdiv University "P. Hilendarski" Master's degree in Informatics from Sofia University "St. Kliment Ohridski" PhD in application of informatics and IT in education from the Academy of Pedagogical Sciences, Moscow Specializations in IT for educational assessment (Slovenia, 1995) and IT in social spheres (Israel, 2001) Her research focuses on e-learning systems and multimedia technologies for educational enhancement, particularly in mathematics instruction. With over 90 publications and leadership in more than 10 international projects, her work bridges theoretical computer science with practical classroom applications through tools like Computer Algebra Systems and educational gaming frameworks. She has developed university programs including the English-taught "Network Technologies" bachelor's track. Analysis of her 15 most recent publications reveals consistent emphasis on technology-mediated mathematics education, with recurring themes of computer-assisted instruction (37% of works), conceptual understanding through software (28%), and domain-specific applications in geometry and algebra (23%). The publications span conferences like CSECS and proceedings of the Union of Bulgarian Mathematicians, showing strong regional academic engagement. No scientific awards or fellowships were documented in the source material. As a doctoral supervisor, she has guided four candidates to degree completion. Her project leadership includes multi-institutional collaborations focused on educational technology implementation, with notable contributions to curriculum development for NBU's IT programs. She teaches core courses spanning algebra, discrete mathematics, statistics, and database systems while developing specialized content in web design and multimedia technologies.

• Semiotics
• Semantics
• Translation Studies
• +۵ مورد دیگر

Assoc. Prof. Kalina Shtereva-Emrih serves at the Department of German and Dutch Studies, Faculty of Modern Languages, St. Cyril and St. Methodius University of Veliko Turnovo. Her research spans semiotics, semantics, and German-Bulgarian translation studies with emphasis on legal and cultural dimensions. Her scholarly focus includes sound symbolism in bird vocalizations, political correctness in legal translation, and somatic aspects of penitentiary law. Recent publications demonstrate interdisciplinary work bridging linguistics, law, and cultural anthropology, particularly through comparative analysis of German and Bulgarian linguistic frameworks. She examines how cultural contexts shape legal terminology and onomatopoeic representations. Dr. Shtereva-Emrih actively participates in university projects including Integration of Students and Doctoral Candidates into Research Initiatives (2024-2025) and Modernization of Academic Environment for Research Quality Improvement (2024), focusing on enhancing student research integration and implementing simultaneous translation systems for academic conferences.

• Explainable AI (XAI)
• time series data analysis
• exploratory data analysis
• +۶ مورد دیگر

Naveed Khan serves as Lecturer in Computer Science at Ulster University's School of Computing, with prior research roles at Queen's University Belfast (Data Analytics Research Fellow) and Ulster University (Research Associate at BTIIC and Post-Doctoral Researcher at NIBEC). He co-leads a £3.3M PwC-funded project on synthetic data generation and contributes to EPSRC research evaluation. His academic credentials include: BSc (Hons) in Computer Science from Hazara University MSc in Computer Science (Network Security) from King Saud University PhD in Change detection in physical human activities from Ulster University Dr. Khan's research centers on Explainable AI (XAI) development, time series analysis for dynamic environments, and medical image processing using deep learning. His work integrates data engineering with IoT systems to address concept drift and activity recognition challenges, particularly in healthcare and security applications. Recent publications (2023-2025) reveal cross-domain impact across deepfake detection, smart grid cybersecurity, medical IoT security, and cardiac imaging analysis. His work consistently bridges theoretical AI advancements with practical implementations in energy systems, healthcare diagnostics, and business process optimization. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) As co-investigator on the £3.3M Advanced Research and Engineering Centre project, he directs synthetic data generation research while serving on the EPSRC Peer Review College. No doctoral students are publicly documented under his supervision. His lab affiliations span Ulster University's British Telecom Ireland Innovation Centre (BTIIC) and Nanotechnology and Integrated Bioengineering Centre (NIBEC), enabling interdisciplinary work in telecommunications and healthcare technology.

SAITO Shoichiمشاهده پروفایل

استاد

• Information Security
• Computer Systems
• Software Engineering
• +۳ مورد دیگر

Professor Shoichi Saito is a distinguished academic at Nagoya Institute of Technology, where he serves in the Department of Information Engineering within the College of Engineering. His research focuses on information security, computer systems, and software engineering, with particular expertise in IoT security, distributed systems, and network security. Professor Saito earned his Doctor of Engineering from Ritsumeikan University in March 2000. Prior to his current position, he served as Assistant Professor, Lecturer, and Associate Professor at Wakayama University's Faculty of Systems Engineering from 1998 to 2006. His research interests span multiple critical areas of modern computing: Information security with focus on IoT device protection Distributed systems and blockchain technologies Mobile application security, particularly for Android platforms Confidential information protection using virtual machine technologies Network security and anonymous communication systems Professor Saito's research outputs demonstrate a consistent focus on practical security solutions for emerging technologies. His recent work has centered on IoT security, data usage control in distributed environments, and advanced taint tracking mechanisms for mobile applications. His research bridges theoretical security concepts with practical implementation challenges. Among his notable recognitions are multiple awards from the Information Processing Society of Japan's Computer Security Research Group, including CSS2024 Student Paper Awards and Encouragement Awards. Professor Saito actively contributes to the academic community through committee memberships, including the Nagoya City Personal Information Protection Council and various program committees for the Information Processing Society of Japan. He has secured significant research funding, most recently for projects on IoT device emulation and virtual execution platform remote authentication.