جست‌وجوی استاد و پژوهشگر

• Biometrics
• Keystroke Dynamics
• Gait Recognition
• +۳ مورد دیگر

Patrick Adrianus Bours is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU). Educated at Eindhoven University of Technology (MSc 1990, PhD 1994), his career includes senior roles at Netherlands National Communication Security Agency and leadership of NTNU's Norwegian Information Security Laboratory (NISlab). Research focuses on behavioral biometrics including keystroke dynamics, gait recognition, and continuous authentication systems. Current projects address chatroom security with emphasis on detecting predatory behavior through typing patterns and stylometric analysis. Work integrates machine learning, natural language processing, and multimodal systems to enhance cybersecurity. Publications demonstrate progressive refinement of predator detection systems and biometric authentication methods. Recent work examines misinformation impacts during COVID-19 and ensemble methods for security applications. Research consistently combines theoretical security frameworks with practical implementation challenges.

Abdallah Yaghiمشاهده پروفایل

مدرس

• Data Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Dr. Abdallah Yaghi is a University Teacher in Data Science/Analytics at the University of Sheffield's School of Information, Journalism and Communication. He holds a BSc in Information Systems from the University of Central Lancashire (2010) and a PhD in Computing and Data Science from the University of Lincoln (2022), with a thesis focusing on "Native Language Identification through Keystroke Dynamics." His research spans interdisciplinary fields including AI, machine learning, NLP, cybersecurity, behavioral biometrics, and authorship analysis. He has taught courses such as Digital Media and Society, Practical Programming for Data Science, Information Visualization, Programming, SEO/Website Design, Data Mining, and Big Data Analytics. Professionally, he is a member of the IEEE Computational Intelligence Society and has prior experience as a Teaching Assistant and in industrial roles at A & I Tech Ltd and TopWest.

Henry Hoffmannمشاهده پروفایل

استاد

• Self-aware Computing
• Adaptive Computing
• Computer Systems
• +۵ مورد دیگر

Henry Hoffmann is Professor and Liew Family Chair of the Department of Computer Science at the University of Chicago. He serves as Chair of the department and leads research in self-aware and adaptive computing systems. His work bridges traditional computer systems areas with control theory and machine learning to create systems that automatically adapt to meet high-level goals. Hoffmann received his Ph.D. from MIT in 2013 under advisors Anant Agarwal and Srinivas Devadas, with his dissertation titled "SEEC: a framework for self-aware management of goals and constraints in computing systems." He earned an S.M. from MIT in 2003 and a B.S. with highest honors and distinction from UNC-Chapel Hill in 1999. Hoffmann's research focuses on developing self-aware computing systems that understand high-level goals and automatically adapt their behavior to meet those goals optimally. His recent work has shifted toward applying these techniques to control machine learning and AI systems, building learning systems that dynamically adapt their internal structure and resource usage to meet accuracy, energy, performance, and security goals at inference time. His interdisciplinary approach combines operating systems, computer architecture, control theory, and machine learning. Analysis of Hoffmann's recent publications reveals a clear trajectory toward increasingly sophisticated applications of self-aware computing principles. His work has evolved from foundational resource management to cutting-edge applications in AI/ML systems, quantum computing, and security. The publications demonstrate a consistent theme of using control theory and machine learning to create adaptive systems that optimize multiple competing objectives like performance, energy efficiency, and reliability. Recent papers show expanding applications into large language models, quantum algorithms, and privacy-preserving techniques. Presidential Early Career Award for Scientists and Engineers (PECASE) 2019 DOE Early Career Award 2015 Samsung Security Hall of Fame recognition IEEE Micro Top Picks Honorable Mention awards FSE Test of Time Honorable Mention ASPLOS Hall of Fame recognition Hoffmann has mentored numerous PhD and Master's students who have gone on to successful careers in academia and industry. His research has secured over $19 million in funding for the University of Chicago. He co-founded Config Dynamics in 2019 to commercialize aspects of his self-aware computing research. His work has practical applications across data centers, edge computing, AI systems, and quantum computing. Hoffmann leads the SEEC (Self-aware, Energy-Efficient Computing) research group at the University of Chicago. The group focuses on developing frameworks and techniques for building self-aware computing systems that can dynamically adapt to changing conditions and requirements. The group maintains strong collaborations with industry partners and other academic institutions, particularly in the areas of quantum computing, AI systems, and energy-efficient computing.

Sebastian Wallotمشاهده پروفایل

استاد

• Nonlinear Dynamics in Psychology
• Methodology and Evaluation Research
• Reading Processes and Comprehension
• +۷ مورد دیگر

Sebastian Wallot is a Professor of Psychology at Leuphana University of Lüneburg, Germany, specializing in Methodology and Evaluation Research. His academic position centers on developing and applying advanced analytical methods to psychological phenomena, particularly focusing on nonlinear dynamics and time series analysis. Wallot maintains an active research profile with 90 publications spanning from 2011 to 2025, demonstrating consistent scholarly productivity across multiple domains of psychological science. Wallot's research interests bridge complex systems theory with empirical psychological research. He has developed significant expertise in recurrence quantification analysis (RQA) and its applications to diverse psychological phenomena including reading processes, joint action coordination, and psychophysiological measures. His work demonstrates how nonlinear dynamics can reveal patterns in human cognition and behavior that traditional linear methods might miss. Wallot approaches psychological research from a complex systems perspective, emphasizing the interconnectedness of cognitive, physiological, and social processes across multiple timescales. His publication record shows a clear trajectory from foundational work on reading processes and eye movement dynamics toward increasingly interdisciplinary applications in sports science, music cognition, developmental psychology, and occupational health. Recent publications highlight methodological innovations in analyzing time series data of unequal length, multivariate approaches to leader-follower relationships, and applications of nonlinear methods to practical problems in sports medicine and employee recovery. Wallot leads several significant research projects including 'The role of (non-)synchronous coordination and its quantification in joint action,' 'Regularities in Reading Times,' and the prestigious Heisenberg Professorship project 'Quantifying nonlinear dynamics in psychological data.' His collaborative work spans multiple institutions and disciplines, as evidenced by his co-authorship on the MusicLab Copenhagen Dataset and various cross-institutional studies in sports medicine and developmental psychology.

Abdelkader Oudaمشاهده پروفایل

دانشیار

• Information Security
• Cryptography
• Network Security
• +۹ مورد دیگر

Dr. Abdelkader Ouda is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Western Ontario, with over three decades of experience in academia and the software industry. He holds a Ph.D. in Computer Science from Western University (2005), an M.Sc. in Computer Science and Pure Mathematics from Ain Shams University (1993), and a B.Sc. (Hons) in the same disciplines from Ain Shams University (1986), graduating with the highest honor (96.80%). His research spans information security, cryptography, network security, big data security and privacy, and data analytics . He leads the Information and Computer Networks Security (iCNS) Research Laboratory, focusing on innovative solutions for IoT, fog–cloud computing, and behavioral biometrics. His recent work includes developing the ADG Engine for synthetic data generation and HSM4SSL for intra-domain security. Dr. Ouda’s publications highlight advancements in authentication protocols, lightweight IoT security frameworks, database benchmarking, and machine translation . His industry experience includes 14 years in software development, project management, and system analysis, which he integrates into his teaching of courses like Software Design, Algorithms & Data Structures, and Information Security. He also contributes to engineering accreditation through the CEAMS application. Key trends in his articles include secure communication in hybrid architectures, energy-efficient IoT protocols, and reinforcement learning for continuous authentication . His work bridges academic theory with practical applications, emphasizing efficiency and scalability in modern computing environments.

• Language Assessment
• Second Language Research
• Test Design
• +۴ مورد دیگر

Dr Sathena Chan is an Associate Professor in Language Assessment at the Centre for Research in English Language Learning and Assessment (CRELLA) at the University of Bedfordshire. She holds a Bachelor’s degree in English Language Teaching, a Master’s in Language Testing and Program Evaluation, and a PhD in Language Assessment. Her career spans teaching EAP/ESP in Asia, data analysis, and consultancy roles for assessment providers like Cambridge University Press & Assessment, Trinity College London, and Oxford University Press. Research Interests: She specializes in large-scale language assessment, focusing on construct definition, test design, rating scales, and validation. Her work explores the dynamic relationships between multimodal input-based tasks, test-takers’ cognitive processes, and performance levels. She also advocates for methodological innovations in L2 research and practice. Academic Contributions: At CRELLA, she has secured over 30 research grants/consultancy projects and collaborates with leading assessment providers to develop high-stakes exams taken globally. Her publications include books with Cambridge University Press and chapters on topics like L2 reading-listening differences and construct definition in language assessment. Professional Service: She serves as SIG Coordinator for the British Association of Applied Linguistics (BAAL) and on the UK Association for Language Testing and Assessment’s committees. She regularly reviews for journals, publishers, and research councils like ESRC and is on the editorial board of Innovation of Language Learning and Teaching . 2021 Text Inspector - Research Scholarship Award 2015 British Council Assessment Research Awards Fellow of the Higher Education Academy Advising: She supervises postgraduate research students in areas such as assessing L2 reading/writing, cognitive processes in testing, and methodology in language testing. Current supervisees include Ian Newby (Reading-into-writing assessment) and Steven Jones (Synthesis writing and teacher feedback). Completed students include Dr Tanzeela Anbreen (keystroke logging study), Dr Safia Sheraz (eye tracking for academic reading), Martine Holland (academic literacy testing), and Dr Nicola Latimer (eye-tracking academic reading-into-writing tasks).

Sergej Ivanovمشاهده پروفایل

مدرس ارشد

• Educational Linguistics
• Critical Pedagogy
• Digital Source-Based Writing
• +۴ مورد دیگر

Sergej Ivanov is a Senior Lecturer at Linnaeus University, holding dual affiliations with the Faculty of Technology and Faculty of Arts and Humanities . He teaches courses in language acquisition and literacy within preschool teacher training programs and technical communication in technology education, while supervising and assessing student theses across educational levels. His research focuses on criticality practices in educational contexts from primary to tertiary, with specific projects on critical thinking development in six-year-olds (2022-2024) and semantic waves in preschool language use (co-led with Andreas Ebbelind). Since 2020, he has pioneered keylogging methodology in studying digital source-based writing among university students, funded by the Linnaeus Knowledge Environment Education in Change . Recent publications emphasize transnational comparisons of educational policies, digital writing fluency metrics, and criticality instruction strategies across Nordic contexts. His leadership roles include directing the Nordic Research Network for Educational Linguistics and serving as Area Coordinator for Educational Linguistics at AAAL.

Aykut GÜVENمشاهده پروفایل

استادیار

• Cybersecurity
• Biometrics
• Database Systems
• +۴ مورد دیگر

Aykut GÜVEN is an Assistant Professor at Istanbul Beykent University , Faculty of Engineering and Architecture, Department of Computer Engineering. He has held academic positions at multiple institutions, including Sabancı University, Doğuş University, and Marmara University. Current Affiliation: Istanbul Beykent University, Faculty of Engineering and Architecture, Computer Engineering Department Previous Affiliations: Sabancı University (Lecturer), Istanbul Sabahattin Zaim University (Doctor Lecturer), Doğuş University (Expert), Marmara University (Research Assistant) Educational background : Doctorate (2014), Doğuş University, Institute of Science Master's (2002) in Information Technologies (Non-Thesis), Gebze Institute of High Technology Licence (1993), Istanbul Technical University His research interests focus on cybersecurity , biometric authentication , and database performance . He explores keystroke and typing rhythm methods for user authorization, IoT security, and database scalability. His publication trends emphasize: Biometric security systems using keystroke and writing rhythm algorithms Comparative analysis of relational and column-based databases Cybersecurity vulnerabilities in IoT ecosystems Non-university experience includes teaching roles and technical consulting. Despite a prolific career in cybersecurity and database optimization, no scientific awards are documented in the provided text.

Li Wangمشاهده پروفایل

استاد آموزشی

• AI
• Biometrics
• Big Data
• +۱ مورد دیگر

Li Wang is an Assistant Teaching Professor at Syracuse University. His research interests span AI, Biometrics, Big Data, and System & Web Security. He teaches courses including CSE 581 Introduction to Database Management System and CIS 342 Introduction to System Programming . Education includes a BA in Electrical & Computer Engineering from Central South University (China) and an MS in Computer Science from Louisiana Tech University. Research focuses on cybersecurity applications of AI, biometric authentication systems, and multimodal datasets. Publications highlight work on game theory for cyber-insurance, keystroke-based authentication via music, and gait recognition surveys. No scientific awards or advising/grant details are listed in the provided text.

Sally Earlمشاهده پروفایل

مدرس

• Behavioral Biometrics
• Cybersecurity
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

Sally Earl is a Lecturer and PGT Project Tutor at the School of Computing Sciences, University of East Anglia. She is also a member of the Cyber Intelligence and Networks research group. Earl holds a Doctor of Philosophy (PhD) from the School of Computing Sciences. Her research focuses on behavioral biometrics, cybersecurity, and privacy perceptions, with a particular emphasis on human-computer interaction (HCI). She investigates how keystroke and mouse dynamics can enhance identity verification systems and improve privacy in digital interactions. Earl’s recent work includes studies on privacy implications of behavioral biometric data collection and the design of chatbots for sensitive disclosures. Her publications span 2021–2022, addressing themes such as authentication systems, user privacy, and ethical considerations in technology. While no formal advisees are listed, her research contributions reflect active engagement in collaborative projects with peers like Buckley, Campbell, and Hodges. Her affiliations emphasize interdisciplinary work within cybersecurity and HCI, leveraging both technical and social science perspectives to address modern challenges in digital security and privacy.

• Biometrics
• Image Processing
• Signal Processing
• +۴ مورد دیگر

Patrizio Campisi is an academic affiliated with Roma Tre University in Rome, Italy. His primary research focuses on biometric systems, information forensics, and signal processing. He has published extensively in top-tier journals and conferences, including IEEE Transactions on Information Forensics and Security, IEEE Signal Processing Magazine, and EUSIPCO. His work spans areas such as vein recognition, EEG-based biometrics, and cryptographic methods for privacy preservation. He has collaborated with numerous researchers globally and contributed to standards for biometric authentication in the EU. Research Interests: Biometric systems (finger/hand vein, EEG, keystroke dynamics) Secure template protection mechanisms Forensic analysis of digital media Machine learning applications in pattern recognition Medical imaging and wearable devices Recent work emphasizes developing explainable AI for biometric systems and creating secure, unlinkable authentication methods. He has also contributed to policy initiatives like the European Association for Biometrics' position paper on Schengen travel security.

Song Fangمشاهده پروفایل

دانشیار

• Wireless and Mobile System Security
• Cyber-Physical Systems Security
• IoT Security
• +۳ مورد دیگر

Dr. Song Fang is an Associate Professor in the School of Computer Science at the University of Oklahoma. She holds a Ph.D. from the University of South Florida (2018), M.S. from Beijing University of Posts and Telecommunications, and B.S. from South China University of Technology. Her research focuses on wireless/mobile system security, cyber-physical systems, IoT security, and machine learning applications in cybersecurity. She has been promoted to Associate Professor with tenure since July 2024 and serves as an Associate Editor for IEEE TDSC and TPC member for multiple top conferences. Education: Ph.D., Computer Science, University of South Florida (2018) M.S., Computer Science, Beijing University of Posts and Telecommunications, China B.S., Computer Science, South China University of Technology, China Research Interests: Dr. Fang's work emphasizes adversarial wireless attacks, defense mechanisms, and leveraging machine learning for system security. Her projects include keystroke inference countermeasures, camera localization, and vehicular network security. Recent trends show her focus on proactive defenses and exploiting signal characteristics for privacy preservation. Awards: She received the EAI MobiQuitous 2022 Best Paper Award for 'HoneyBreath'. Advising & Grants: Advised students include Yan Zhou, Qiuye He, and Edwin Yang. Secured NSF grants for projects like 'Exploiting Stimulus-response Correlation for Wireless Hidden Device Localization' and the OVPRP Faculty Investment Award (2022). Labs/Teams: Leads a research group active in automotive security, wireless attacks, and IoT vulnerability analysis, evidenced by collaborations with industry and academic partners.

Anindya Maitiمشاهده پروفایل

استادیار

• Privacy and Security
• Cyber-Physical Systems
• Network Security
• +۴ مورد دیگر

Dr. Anindya Maiti is an Assistant Professor of Computer Science and Data Science at the University of Oklahoma (OU), directing the SecretLab. His research focuses on privacy and security in cyber-physical systems, network security, and applied AI/ML. He leads the NSF-funded ScooterLab, a micromobility testbed enhancing pedestrian safety and urban planning. His work includes projects like Background Buster (video call privacy) and Acoustics to the Rescue (physical key inference). Education: Ph.D. in Electrical Engineering and Computer Science, Wichita State University M.S. in Electrical Engineering, Wichita State University B.Tech. in Computer Science, Vellore Institute of Technology Research Interests: Prioritizes privacy-preserving technologies, secure IoT systems, and AI-driven cybersecurity solutions. His team develops tools to counteract side-channel attacks and improve urban mobility security. Recent Trends in Publications: Focus on AI ethics (prompt engineering), decentralized systems (blockchain node analysis), and pervasive computing (wearable-based inference attacks). Highlights include analyzing package hallucinations in LLMs and censorship-resistant DNS protocols. Outstanding Faculty Award (OU), 2024 Best Paper Award (IEEE WristSense 2018) Grants & Labs: Principal Investigator for the NSF CCRI ScooterLab ($100k) and collaborator on Ethereum node datasets. Leads SecretLab, which explores AI/ML applications in secure systems. Active in outreach through Hacklahoma and IEEE S&P program committees. Collaboration Platforms: Maintains extensive presence across GitHub, Docker Hub, and academic networks. Co-founded GeoSNO (distributed cloud storage) and co-created CryptoMiner (blockchain educational tool).

Andrew Cramptonمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Computational Mathematics
• +۱۲ مورد دیگر

Andrew Crampton is Professor of Computational Mathematics and Associate Dean for Teaching and Learning at the University of Huddersfield, affiliated with the Department of Computer Science, School of Computing and Engineering. He is a member of the Centre for Autonomous and Intelligent Systems, the Centre for Planning, Autonomy and Representation of Knowledge, and an affiliate of the Centre for Cybersecurity. His research interests span Artificial Intelligence, Machine Learning, Computational Mathematics, Support Vector Machines, Radial Basis Function Networks, Data Classification, and Automated Planning . His work applies advanced computational techniques to real-world problems in engineering, cybersecurity, and intelligent systems, contributing to UN Sustainable Development Goals. He has supervised over ten PhD students in areas such as SCADA systems, network security, 3D printing, and neuro-fuzzy inference systems. The most recent research articles highlight a strong trend in applying deep learning, particularly convolutional neural networks, to defect detection in additive manufacturing processes like laser powder bed fusion. Additional work explores biometric authentication via keystroke dynamics and automated planning. These contributions reflect a shift from foundational mathematical approximation methods to applied AI and intelligent systems. Scientific Awards: No specific awards listed, but h-index of 15 (Google Scholar) and 11 (Scopus) indicate significant research impact. Andrew Crampton actively supervises PhD students and oversees the School’s Placement Unit as Academic Coordinator. His research has led to applications in industrial systems, cybersecurity, and advanced manufacturing, supported by collaborations and external engagements. He has presented at academic conferences and contributed to knowledge engineering in automated planning. He leads and contributes to multiple research centers, including the Centre for Autonomous and Intelligent Systems, where work on AI and intelligent control systems is conducted, and the Centre for Cybersecurity, focusing on authentication and intrusion detection.

Paloma Liuمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Connected and Autonomous Vehicles
• Data Analytics
• +۱۲ مورد دیگر

Dr. Paloma Liu is a Senior Lecturer in Project Management at Huddersfield Business School, University of Huddersfield. She serves as course leader for BSc programs in Business Data Analytics, Logistics & Supply Chain Management, and Business with Project Management. She is a core member of the Future Mobility Lab and the Sustainable Living Research Centre, contributing to interdisciplinary research in mobility and sustainability. Her research expertise lies at the intersection of cybersecurity, connected and autonomous vehicles (CAVs), data analytics, and public perception. She investigates the security risks of CAVs, keystroke biometrics, and urban mobility patterns using AI and computer vision. Her work aligns with UN Sustainable Development Goals, particularly in sustainable cities and responsible consumption. The recent publications highlight a strong trend in cybersecurity for intelligent transportation systems, biometric authentication, and data-driven mobility solutions. Her work combines technical depth with policy relevance, often involving collaboration with industry and government stakeholders. Fellow of the Higher Education Academy (FHEA) Certified Project Management Professional (PMP) by PMI Dr. Liu is actively supervising PhD students and currently offers an EPSRC-funded PhD position in Post Quantum Cybersecurity, jointly supervised with Professor Simon Parkinson. She also serves as an External Examiner at Queen Margaret University (2025–2029), MSc Dissertation Supervisor at University College London (since Apr 2023), and Visiting Lecturer at Montpellier Business School (since Mar 2023), reflecting her growing academic influence. She leads the Future Mobility Lab, a research team focused on next-generation transport systems, where she mentors students and collaborates on projects involving AI, cybersecurity, and sustainable urban development.