جستجوی استاد راهنمای دانشگاهی

Ruba Al Omariمشاهده پروفایل

استادیار

• Cybersecurity
• Machine Learning in Security
• Information Security
• +۴ مورد دیگر

Ruba Al Omari is an Assistant Professor, Teaching Stream in the Department of Electrical Engineering & Computer Science at York University. She holds a PhD in Computer Science from Ontario Tech University, where she earned the Doctoral Excellence Award. Her research focuses on cybersecurity, machine learning applications in security, and the intersection of brain-computer interfaces (BCIs) with password memorability and user behavior analysis. Dr. Al Omari has over 15 years of industry experience in IT roles spanning network management and security. Her teaching portfolio includes graduate and undergraduate courses in cybersecurity, network security, applied cryptography, malware analysis, and machine learning. Notable courses include 'Attack and Defense Special Topics in IT: AI in Cybersecurity' and capstone projects in computer security. Research interests emphasize leveraging EEG signals and neural networks to predict password memorability, studying user behavior in password usage, and exploring BCI applications for facial recognition and image tagging. Her work bridges cognitive science, neuroscience, and computational security systems. Publications consistently address themes of password security, BCI-driven biometric authentication, and cognitive aspects of cybersecurity. Awards include the Doctoral Excellence Award from Ontario Tech University (exact year not specified in text). Previous roles included program coordinator for AI and Cybersecurity programs at Durham College, alongside teaching experience at Ontario Tech University. Industry background includes user support and network management roles, providing practical insights into IT security challenges.

Yomna Abdelrahmanمشاهده پروفایل

استاد

• Human-Computer Interaction
• Thermal Imaging
• Usable Security
• +۶ مورد دیگر

Dr. Yomna Abdelrahman is a Professor of Usable Security and Privacy at the Bundeswehr University Munich . Her research focuses on thermal imaging for security and privacy , virtual reality usability, eye tracking , and biometric authentication . She collaborates with researchers like Florian Alt and Albrecht Schmidt on projects exploring how thermal sensing can enhance user identification and privacy awareness . Key Research Areas : Thermal Imaging, Human-Computer Interaction, Virtual Reality, Password Security, Biometric Authentication, Eye Tracking, Privacy Her recent publications address VR emotion detection , password usability , and privacy implications of thermal imaging . She has contributed to conferences like CHI, MUM, and INTERACT, often examining security-privacy trade-offs and non-invasive biometric systems . Notably, her work on thermal attacks reveals vulnerabilities in mobile authentication through thermal residue. She holds a PhD in Computer Science from the University of Stuttgart (2018), where her thesis, "Thermal Imaging for Amplifying Human Perception," laid the foundation for her later work on thermal-based interaction and cognitive load estimation . Her collaborations span diverse domains, from smart home notifications to industrial worker assistance , reflecting her interdisciplinary approach to usable security and interactive systems .

• Cybersecurity
• Information Security
• Critical Infrastructure Security
• +۵ مورد دیگر

Nils Kalstad serves as Associate Professor in Information Security at the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU) and has been Director of NTNU Community Safety since January 2024. Previously, he directed NTNU's Center for Cyber and Information Security (2017-2023) and led the Department of Information Security and Communication Technology (2017-2023). His academic career began at Gjøvik University College where he served as Doctoral Fellow (2003-2008), Head of the Center for Cyber and Information Security (2014-2015), and Dean of the Department of Informatics and Media Technology (2014-2015). Kalstad earned a civil engineering degree from NTNU's Department of Mathematical Sciences followed by a PhD in information security from the University of Oslo. His doctoral dissertation 'Interdependencies in Critical Infrastructures: A Qualitative Approach to Model Physical, Logical, and Geographical Interdependencies' established his research foundation. He has maintained continuous academic appointment at NTNU since August 2008. His research focuses on cybersecurity, critical infrastructure protection, and community safety, with particular emphasis on modeling interdependencies between physical, logical, and geographical aspects of critical systems. Kalstad's work bridges theoretical security models with practical applications in emergency preparedness, examining vulnerabilities in communication networks, developing anomaly detection frameworks for control systems, and analyzing security policies. His competence areas include emergency preparedness, civil security, cybersecurity, information security, communication technology, and community safety. Analysis of Kalstad's publication record reveals a consistent trajectory from technical security mechanisms toward broader societal security frameworks. His early work focused on critical infrastructure interdependencies and SCADA systems security, while more recent publications address national security strategies and energy security. The pattern shows increasing emphasis on human factors in cyber defense and comprehensive community safety approaches. His research maintains strong connections between theoretical modeling and practical implementation needs. Kalstad serves on multiple national security advisory bodies including the National Reference Group for Civil Security (Research Council) since July 2024, the National Cyber Security Center Reference Group since February 2020, and the Forum for National ICT Security since April 2018. His leadership extends to various boards including NORSAR (since May 2019), the Norwegian Center for Information Security (NorSIS) (2017-2024), and Skeikampen skiarena AS (since October 2014). He has also contributed to NTNU's internal governance through committee service on equality and diversity, honorary doctorates, and academic integration.

Shannon Scielzoمشاهده پروفایل

دانشیار

• Mentoring/Coaching
• Well-being
• Evaluation Best Practices
• +۳ مورد دیگر

Shannon Scielzo, M.S., Ph.D., is an Associate Professor in the Department of Internal Medicine at UT Southwestern Medical Center. She serves as the Associate Director of Education and Strategic Planning Consultant for Graduate Medical Education. Her work focuses on mentoring/coaching, well-being, and evaluation best practices in medical training environments. Bachelor’s in Psychology, Tarleton State University Master’s and Ph.D. in Industrial and Organizational Psychology, University of Central Florida Fellowship in Macrocognition, UCF Institute for Simulation and Training Her research spans industrial psychology, medical education, and human-computer interaction, with a focus on improving resident well-being through tools like the "Fuel Gauge," evaluating mentoring dynamics, and enhancing password memorability via cognitive psychology. She has presented extensively on these topics and contributed to peer-reviewed publications. Dr. Scielzo co-chairs the Program Performance Improvement Committee for Graduate Medical Education, serves on accreditation and data analysis committees, and works with high-school students on science projects. She also analyzed ice-skating judging bias, highlighting her interest in social equity.

Mona Mohamedمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Cybersecurity
• Information Technology
• +۶ مورد دیگر

Mona Mohamed is an Associate Professor in the Department of Business Analytics and Technology Management at Towson University's College of Business and Economics. She teaches courses such as Principles of e-Business and Problem Solving for Business, while conducting research on human-computer interaction, cybersecurity, and open government data analysis. Education: Ph.D. in Information Technology (2018, Towson University), MS in Management Information Technology (2007, The George Washington University) Her research focuses on how cultural factors influence technology usability and security, particularly in areas like microchip implantation and graphical password design. Recent work explores the intersection of machine learning and health risk concerns in implantable technologies. Mohamed's publications highlight trends in open government data utilization, cloud computing collaboration, and inclusive technology design. Grants from the College of Business and Economics have supported her investigations into microchip implant acceptance and minority faculty challenges. She emphasizes equipping students with critical e-commerce skills for modern business environments, advocating for systems that balance security with user accessibility.

Miguel Vargas Martinمشاهده پروفایل

استاد

• Computer Security
• Cybersecurity
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Miguel Vargas Martin is a Professor of Computer Science at Ontario Tech University's Faculty of Business and Information Technology. He holds a PhD from Carleton University, a Master's from CINVESTAV del IPN, and a Bachelor's from Universidad Autónoma de Aguascalientes. His research focuses on cybersecurity, authentication systems, machine learning, and human factors in security. Dr. Martin teaches graduate courses such as Cryptography and Secure Communications, and undergraduate courses including Machine Learning and Cryptography, Malware, and Network Security. Education: PhD in Computer Science, Carleton University (2003) Master of Applied Science in Electrical Engineering, CINVESTAV del IPN (1998) Bachelor of Science in Computer Science, Universidad Autónoma de Aguascalientes (1996) Research Interests: Dr. Martin's work addresses cutting-edge topics in computer security and artificial intelligence. His recent studies include improving password security through honeyword generation using machine learning, developing differential privacy visualizations for public understanding, and creating emotion recognition models for companion robots. His cybersecurity frameworks target edge computing and IoT environments, emphasizing practical defenses against modern threats. Key Contributions: Over 25 peer-reviewed articles since 2012 span topics from brain-computer interfaces for password memorability analysis to fusion-based optimization algorithms. His work bridges theoretical advancements with real-world applications in healthcare, transportation systems, and industrial IoT security.

Hyoungshick Kimمشاهده پروفایل

استاد

• usable security
• blockchain
• security vulnerability analysis
• +۳ مورد دیگر

Hyoungshick Kim is a Professor in the Department of Computer Science and Engineering at the College of Computing, Sungkyunkwan University (SKKU), where he leads the Security Laboratory (seclab). He has been selected as an SKKU Fellow in recognition of his research contributions and academic engagement. Dr. Kim received his Ph.D. in the Security Group at the Computer Laboratory, University of Cambridge, under the supervision of Prof. Ross Anderson. His doctoral research focused on complex network analysis for secure and robust communications. Prior to his Ph.D., he worked at Samsung Electronics on secure home networking and content protection research. After completing his doctorate, he served as a post-doctoral fellow at the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) in the Electrical and Computer Engineering department at the University of British Columbia (UBC). He also worked as a distinguished visiting researcher at CSIRO Data61. Dr. Kim's research interests center around usable security, blockchain technology, security vulnerability analysis, and data-driven security approaches. His work bridges theoretical security principles with practical applications, with a particular emphasis on understanding human factors in security systems and developing solutions that are both robust and user-friendly. His research spans areas including phishing detection, authentication systems, web security, mobile security, and AI security, consistently focusing on real-world applicability. Through his extensive publication record spanning multiple years, Dr. Kim has established himself as a leading researcher in cybersecurity. His recent work shows a growing focus on the security implications of artificial intelligence and machine learning systems, examining both how AI can improve security and how AI systems themselves can be vulnerable to attacks. His research demonstrates a consistent pattern of addressing pressing security challenges with innovative, practical solutions. SKKU Fellowship in recognition of research contributions and academic engagement As the leader of the Security Laboratory at SKKU, Dr. Kim oversees research projects that address critical security challenges. His work has been supported by various research grants focusing on practical security solutions for real-world problems. Dr. Kim maintains active collaborations with researchers worldwide and with industry partners to ensure his research addresses current security challenges and translates into practical applications. The Security Laboratory (seclab) under Dr. Kim's leadership focuses on developing practical security solutions with emphasis on usability. The lab's research spans multiple domains including web security, mobile security, blockchain security, and AI security, with a consistent thread of considering human factors in security design. The laboratory produces both theoretical contributions and practical tools that have impact in the security community and beyond.

Doowon Kimمشاهده پروفایل

استادیار

• Computer Security
• Cybersecurity
• Usable Security
• +۷ مورد دیگر

Doowon Kim is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Computer Science from the University of Maryland, College Park (2020) and has held academic positions including research internships at Symantec Research Labs and Korea Electronics Technology Institute. Education: PhD, Computer Science, University of Maryland (2020) MS, Computer Science, University of Utah (2013) B.E., Computer Science and Engineering, Hankuk University of Foreign Studies (2011) Research Interests: Computer Security: Data-driven security, usable security, phishing analysis, and PKI abuse. Network Security: Internet measurement, TLS protocols, and threat intelligence sharing. Web Security: Client-side vulnerabilities, phishing kits, and anti-Asian racism in social media. AI in Security: Adversarial attacks on code generation models and poisoned AI suggestions. Recent Trends in Publications: Focus areas include phishing detection mechanisms, AI-driven code exploitation, and PKI security. Recent work explores visual similarity-based phishing detection, backdoor attacks on code completion models, and longitudinal studies of client-side vulnerabilities. Awards: NSA Best Scientific Cybersecurity Paper (2017) Ann G. Wylie Dissertation Fellowship (2019) Best Student Paper at WISA 2022 Advising & Grants: Advises 14+ graduate/undergraduate students (e.g., Kyungchan Lim, Fujiao Ji). Secured travel grants for students at Web Conf and NDSS. Recipient of NSF proposal review panelist roles. Labs & Teams: Actively leads research in cybersecurity with a focus on phishing, PKI, and AI ethics. Collaborates with global institutions like KAIST and Samsung Research.

• Computer Security
• Privacy Policies
• Android Applications
• +۳ مورد دیگر

Dr. Ron Poet is an Honorary Lecturer at the University of Glasgow's School of Computing Science. His research focuses on computer security, privacy policies in mobile applications, and graphical authentication systems. He investigates Android runtime permissions, identity management protocols, and federated security frameworks. His work spans mobile security, privacy compliance, and human-computer interaction in authentication systems. Recent publications analyze privacy policies of cloud storage applications and explore user behavior in permission disclosure decisions. Research demonstrates consistent focus on balancing security requirements with usability considerations. Dr. Poet collaborates internationally on security frameworks and has contributed to understanding graphical password systems through empirical usability studies. His technical approach frequently incorporates formal verification methods for identity management protocols and practical analysis of mobile ecosystem vulnerabilities.

• Computer Science
• Cybersecurity
• Human-Computer Interaction
• +۲ مورد دیگر

Mahdi Nasrullah Al-Ameen is an Associate Professor in the Computer Science Department at Utah State University's College of Engineering. His work bridges cybersecurity, human-computer interaction, and user-centered design, focusing on behavioral aspects of digital security and privacy. Research Themes : Password security, clickbait mitigation, parental control tools, privacy policy design, and child cybersecurity education. Methodologies : Leverages storytelling, mental models, and developmental psychology to improve security practices. Applications : Social media safety, IoT privacy, digital assistant controls, and Sybil-resilient systems.

Boštjan Brumenمشاهده پروفایل

استاد

• Security
• Privacy
• Machine Learning
• +۴ مورد دیگر

Professor Boštjan Brumen serves as a Full Professor at the University of Maribor specializing in informatics with dual research foci in security/privacy and machine learning. His academic profile bridges technical informatics with tourism applications, particularly examining digitalization and security challenges in tourism contexts through interdisciplinary research. His research centers on password security and cryptoanalysis within security studies, while exploring algorithmic limitations in machine learning classification systems. Recently, he has integrated these domains with tourism research, investigating pandemic-related travel behavior, spatial sensitivity in urban tourism, and security vulnerabilities in tourism technology systems. This work appears in reputable journals including Computers & Security and Academica turistica. Professor Brumen teaches Data Analysis in Tourism across undergraduate, master's, and doctoral programs, employing a teaching methodology that prioritizes critical thinking and adaptability over factual memorization. His pedagogical approach combines lectures with discussion-based analysis followed by independent application exercises, emphasizing historical context and pattern recognition to prepare students for evolving technological landscapes. His publication record demonstrates consistent output in both technical informatics venues and tourism research journals, with recent 2020 publications spanning shoulder surfing experiments, city spatial sensitivity, and COVID-19 travel impact studies. While specific awards aren't documented, his work appears in high-impact journals including the Journal of Medical Internet Research (IF 4.7). Professor Brumen maintains active research supervision through course instruction and co-authored publications, though specific student names aren't listed. His interdisciplinary approach connects informatics fundamentals with practical tourism applications, suggesting ongoing institutional support for his research activities despite explicit grant details being unavailable.