Find Academic Supervisors

Neil KlingensmithView profile

Assistant Professor

• Cyber-physical systems
• Internet of Things (IoT)
• Embedded systems
• +4 more

Neil Klingensmith is an Assistant Professor of Computer Science at Loyola University Chicago, specializing in hardware-software co-design for cyber-physical systems. His research focuses on making IoT systems more efficient, reliable, and secure while maintaining strong educational leadership in operating systems and embedded systems courses. PhD in Computer Engineering from University of Wisconsin (2019) MS in Computer Engineering from University of Wisconsin (2016) BS in Electrical Engineering from University of Wisconsin (2010) Klingensmith's research spans three major areas: IoT Security : Innovating secure device authentication through environmental signals (power line noise, electromagnetic radiation) and analyzing vulnerabilities in automotive and conferencing systems Low-power Embedded Systems : Developing energy-efficient sampling techniques and hypervisor-based privacy agents for mobile/IoT devices Operating System Design : Exploring userland containers, real-time hypervisors, and memory management frameworks His recent publications demonstrate focus areas in authentication mechanisms , secure device pairing , and mobile virtualization . With 15+ years of academic and industry experience, he has secured significant funding including: $500k NSA NCAE grant (2023-2024) $250k NSF OAC grant for low-power computer vision (2021-2024) $110k US Department of Energy Fellowship (2013-2015) His students have successfully placed at major companies including Amazon, Google, and Boeing while advancing research in: Secure firmware development Real-time OS implementation Hardware authentication techniques Memory management optimization Embedded system design As co-founder of Emonix, he bridges academic research with commercial applications in HVAC automation. His patents in context-based device pairing demonstrate practical impact of his theoretical work.

Mohammed AbuhamadView profile

Assistant Professor

• AI Security
• Deep Learning Security
• Software Security
• +9 more

Mohammed Abuhamad is an Assistant Professor in the Department of Computer Science at Loyola University Chicago. He holds dual Ph.D. degrees in Computer Science from the University of Central Florida and Electrical and Computer Engineering from INHA University (both 2020), and a Master's in Information Technology (Artificial Intelligence) from the National University of Malaysia (2013). His research focuses on AI/Deep-Learning Security, Software and Mobile/IoT Security, and Privacy, with applications in autonomous vehicles, healthcare, and social media. Key interests include adversarial machine learning robustness, behavioral biometrics, malware analysis, and misinformation detection. Dr. Abuhamad leads two research labs: the Cybersecurity Lab and AI for Secure Computing Research Lab (AISeC) . He teaches COMP 358/458: Big Data Analytics and COMP 388/487: Deep Learning during Fall 2024. He has secured significant research funding including: $3,800,000 NSF Grant for 'CyberCorps Scholarship for Service: CyberRamblers Bolster National Security' $50,000 from Dr. Scholl Foundation for online misinformation research $300,000 NSF Grant for experiential cybersecurity training

Latanya SweeneyView profile

Professor

• Data Privacy
• Algorithmic Fairness
• Technology Science
• +5 more

Latanya Sweeney is the Daniel Paul Professor of the Practice of Government and Technology at the Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences, Department of Government. She serves as Editor-in-Chief of Technology Science and is the founder and director of both the Public Interest Tech Lab and the Data Privacy Lab at Harvard. Previously, she was the Chief Technology Officer at the U.S. Federal Trade Commission and a Distinguished Career Professor at Carnegie Mellon University. Dr. Sweeney is a pioneer in the fields of data privacy and algorithmic fairness. Her research has directly influenced U.S. regulations, including HIPAA. She earned her PhD in computer science from MIT in 2001 as the first black woman to do so, and completed her undergraduate degree in computer science at Harvard University. Her research spans technology's impact on democracy, governance, and society, with particular focus on election security, online advertising discrimination, and medical data privacy. Her work on voter registration vulnerabilities, mobile app data sharing, and de-anonymization techniques has been widely recognized and cited. Dr. Sweeney's publications demonstrate consistent focus on how technology intersects with societal structures, particularly examining privacy risks, algorithmic bias, and electoral security. Her research methodology combines technical analysis with policy implications, creating actionable insights for both technologists and policymakers. Louis D. Brandeis Privacy Award recipient American Psychiatric Association's Privacy Advocacy Award recipient Elected fellow of the American College of Medical Informatics Holds 3 patents in data privacy technologies As Faculty Dean of Currier House at Harvard College, Dr. Sweeney maintains an active role in undergraduate education while leading multiple research initiatives including the Public Interest Tech Lab, Data Privacy Lab, VoteFlare, theDataMap, aboutMyInfo, MyDataCan, DataTags, Privacert, and ForeverData. Her work bridges technical innovation with practical applications for public benefit.

Wenbin LuoView profile

Professor

• Computer Science
• Electrical Engineering
• Image Processing
• +7 more

Wenbin Luo is a faculty member in the Department of Engineering at St. Mary's University since 2003. He holds a Ph.D. in Computer Engineering (2003) and an M.S. in Statistics (2002) from the University of New Mexico, alongside an M.S. (1999) and B.S. (1996) in Electrical Engineering from Fudan University, China. He also earned professional certifications in computer security and Linux administration. Ph.D., Computer Engineering, University of New Mexico (2003) M.S., Statistics, University of New Mexico (2002) M.S., Electrical Engineering, Fudan University (1999) B.S., Electrical Engineering, Fudan University (1996) Luo’s research spans image processing , network security , and machine learning . His work focuses on developing algorithms for data hiding , noise removal , and security protocols , with applications in biomedical imaging and encrypted media. He has contributed to hashing techniques and statistical modeling . Recent publications highlight his expertise in multi-MSB replacement for encrypted images , meta-learning for film style transfer , and adaptive filtering for noise reduction . These works intersect computer vision , signal processing , and deep learning . Scientific Awards: 2001 Outstanding Graduate Student Award (University of New Mexico) 2008 Distinguished Faculty Award (St. Mary’s University) Best Paper Award at 24th International Conference on Computers and Their Applications Advising & Professional Roles: Faculty Advisor, IEEE St. Mary’s student branch (2023 IEEE R5 Robotics Competition winners) Reviewer for leading journals/conferences Associate Editor, International Journal on Computers and Electrical Engineering Chair roles at IEEE SoSE conferences (2008–2015) Labs & Teams: Luo leads student teams in IEEE competitions, including the 2023 first-place R5 Robotics Competition team and 2017 IEEEXTREME Programming Competition participants ranked top 11% globally.

• Gaze-based Interaction
• Eye Tracking
• Mobile Eye Tracking
• +5 more

Dr. Michael Johannes Barz is an Associated Member at the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) in Saarbrücken, Germany, where he conducts research within the Ubiquitous Media Technology Lab (UMTL). His work bridges human-computer interaction with artificial intelligence, focusing on gaze-based interaction, eye tracking, and interactive machine learning systems. Dr. Barz has established himself as a significant contributor to the field with over 50 publications spanning from 2015 to 2024. His research interests center on gaze-based interaction , mobile eye tracking , user modeling , and interactive machine learning , with recent work expanding into cognitive load measurement using digital pen technology and mixed reality applications for industrial training. Dr. Barz has developed influential tools like IMETA for eye tracking annotation and pEncode for visualizing pen signals, demonstrating his commitment to creating practical research methodologies. Dr. Barz's publication record shows consistent contributions to top-tier conferences including ACM ETRA, IEEE VR, and the International Conference on Intelligent User Interfaces. His 2022-2024 work reveals increasing focus on making AI systems more transparent and interactive, with publications on explaining machine learning model explanations and interactive deep learning frameworks. His research often involves interdisciplinary collaboration across computer science, cognitive science, and educational technology. Special recognition for an outstanding review at ACM ETRA 2020 Active conference reviewer for IJCAI, ACM IUI, KI, ACM ETRA, and IEEE VR Journal reviewer for Journal of Eye Movement Research Dr. Barz has contributed to teaching as an assistant for 'Intelligent User Interfaces' at TU Kaiserslautern and 'Artificial Intelligence' at Saarland University. His current research suggests strong engagement with both theoretical advancements in interactive machine learning and practical applications in educational and industrial contexts, particularly through the MASTER-XR project for mixed reality manufacturing training. The Ubiquitous Media Technology Lab provides the collaborative environment where Dr. Barz develops his innovative approaches to human-AI interaction.

Yih-Chun HuView profile

Associate Professor

• Network Security
• Wireless Networks
• Vehicular Networks
• +6 more

Yih-Chun Hu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, where he has been a faculty member since August 2005. He is also an affiliate faculty member of the Computer Science department and faculty of the Advanced Digital Sciences Center. Dr. Hu is a member of the Coordinated Science Laboratory and the Information Trust Institute at UIUC. Dr. Hu received his Ph.D. in Computer Science from Carnegie Mellon University in 2003, where his advisor was David B. Johnson. His dissertation was titled "Enabling Secure High-Performance Wireless Ad Hoc Networking." Prior to joining UIUC, he was a Postdoctoral Researcher at the University of California, Berkeley under Doug Tygar. He earned his B.S. Magna Cum Laude in Computer Science and Mathematics from the University of Washington in 1997. Dr. Hu's research focuses on network security and wireless systems, with particular emphasis on secure routing protocols, vehicular networks, and defense against denial-of-service attacks. His work spans multiple domains including secure Internet routing, privacy in wireless networks, and security mechanisms for ad hoc networks. He has developed innovative approaches to insider attacks in wireless networks, DDoS defense mechanisms, and security for vehicular communication systems. His research often combines theoretical analysis with practical system implementation and evaluation. Dr. Hu's recent publications demonstrate a continued focus on security challenges in emerging network environments, including IoT security, blockchain applications for security, and privacy-preserving techniques for vehicular networks. His work shows a consistent theme of developing practical security solutions that balance strong security guarantees with performance considerations. Dr. Hu has served in numerous editorial and conference organization roles, including as Associate Editor for IEEE Transactions on Networking (2012-2016) and ACM Transactions on Mobile Computing (2013-2018). He has held significant roles in major networking conferences such as Technical Program Chair for ACM MobiHoc 2012 and various committee positions for ACM MobiCom. Within the Coordinated Science Laboratory at UIUC, Dr. Hu leads research efforts in network security and wireless systems, mentoring students and collaborating with other faculty on interdisciplinary security projects. His lab focuses on developing security mechanisms that are both theoretically sound and practically deployable in real-world systems.

Ulrike GenschelView profile

Associate Professor

• Statistics
• Statistical Education
• STEM Education
• +3 more

Ulrike Genschel serves as Associate Professor and Director of Graduate Education at Iowa State University, leveraging statistical expertise to address interdisciplinary challenges in education, health sciences, and forensic analysis. Her academic foundation includes: PhD in Statistics, University of Dortmund, Germany (2005) MS in Statistics, University of Dortmund, Germany (2000) Dr. Genschel's research integrates robust statistical methodology with real-world applications, particularly in STEM education equity and interdisciplinary data analysis . She pioneers techniques like sliced inverse regression for contaminated data and develops educational interventions such as flipped classrooms and early-alert systems for student retention. Her work spans veterinary medicine (corneal healing models), nutrition (culinary interventions), and forensics (bullet analysis), demonstrating exceptional methodological adaptability. Recent publications reveal a pronounced shift toward societal impact research , with 70% of 2021-2025 works addressing pandemic resilience, health disparities, or educational equity. Key trends include applying cluster analysis to STEM enrollment gaps, developing sensor-based health interventions, and creating robust statistical frameworks for forensic evidence. While no specific awards are documented, her leadership as Director of Graduate Education highlights institutional recognition of her administrative capabilities. Her grant activity likely supports collaborative projects across veterinary medicine, nutrition, and geology departments, though detailed funding information is unavailable. Current advising responsibilities remain unspecified but align with graduate program leadership. Dr. Genschel operates within dynamic interdisciplinary teams, including veterinary researchers studying corneal healing, nutrition scientists evaluating dietary interventions, and geologists developing active-learning frameworks, positioning her at the nexus of statistical innovation and applied problem-solving.

Aleksandar KelečView profile

Senior Lecturer

• Android Security
• Database Systems
• Software Engineering
• +5 more

Aleksandar Keleč is a Senior Lecturer at the Department of Computing and Informatics, Faculty of Electrical Engineering, University of Banja Luka. He has contributed to research in Android security, database systems, and automated database design tools. Senior Lecturer in Department of Computing and Informatics Specializes in mobile security, database optimization, and software engineering Active in international collaborations through conferences and projects Research Interests: His work focuses on enhancing security and privacy in mobile communications, particularly Android platform vulnerabilities and permissions systems. He has developed tools for database reverse engineering and visualization, and contributed to distributed computing infrastructure monitoring projects like VI-SEEM. His research spans practical applications in software testing automation, pseudorandom number generation analysis, and NoSQL database optimization. Key Article Trends: Recent publications emphasize secure communication protocols, multilingual database design systems, and Android security improvements. Technical work includes performance analysis of SQLite databases, MongoDB full-text search implementations, and testing automation frameworks.

• Medical Data Analysis
• Functional Data Analysis
• Deep Neural Networks
• +4 more

Łukasz Kidziński is a Research Fellow at Stanford University's Clark Center, specializing in medical data analysis for high-dimensional sparse clinical observations. His methodological expertise spans functional data analysis, inverse problems in high dimensions, and deep neural networks, with recent applications in biomechanics and cancer immunology. Previously, he developed adaptive learning systems for educational environments. His academic background includes: Ph.D. in Mathematical Statistics, Université libre de Bruxelles (2014) M.S. in Mathematics, University of Warsaw (2011) M.S. in Computer Science, University of Warsaw (2010) B.S. in Mathematics & Computer Science, University of Warsaw (2009) Dr. Kidziński's research bridges statistical theory and clinical practice, focusing on translating complex data into actionable medical insights. Current projects emphasize smartphone-based human movement analysis (OpenCap system), spatial mapping of immune cells in cancer, and AI-driven diagnostics for osteoarthritis. His work uniquely integrates computational statistics with real-world healthcare challenges, particularly in decentralized clinical trials and biomechanical interventions. Analysis of his 15 most recent publications reveals three dominant trajectories: (1) smartphone-based biomechanics (6 articles, 2021-2023) advancing OpenCap for 3D motion capture; (2) spatial cancer immunology (4 articles, 2022-2024) mapping macrophage niches in colon/breast tumors; and (3) clinical AI applications (5 articles, 2021-2022) for osteoarthritis assessment and decentralized trials. These intersect statistics, computer vision, and translational medicine. His accolades include: Mobilize Center Distinguished Postdoctoral Fellow (2016) Swiss National Science Foundation grant (2015) ULB-UC Berkeley research exchange grant (2014) PASCAL Group Fellowship (2011) University of Warsaw Distinguished Students Fellowship (2007) As a Mobilize Center fellow, Dr. Kidziński leads NIH-funded projects on AI-enhanced clinical trials and biomechanical modeling. His collaborations span Stanford Bio-X, UC Berkeley, and European institutions, with open-source contributions like OpenCap enabling community-driven research. While no formal advisees are documented, his educational data mining work indicates student mentorship in adaptive learning systems. Active Grants: Mobilize Center Distinguished Fellowship, Swiss NSF Key Collaborators: Pierre Dillenbourg (EPFL), Scott Delp (Stanford), David Cohen (EPFL) Based in Stanford's Clark Center, he co-develops the Mobilize Center's mobile health ecosystem, contributing to open-source tools for biomechanical analysis (OpenCap) and knee cartilage assessment. His work leverages Bio-X's interdisciplinary infrastructure to bridge engineering, medicine, and data science for real-world clinical impact.

Joe BayerView profile

Associate Professor

• Social Psychology
• Communication Technology
• Mobile Media
• +3 more

Joe Bayer serves as Associate Professor in The Ohio State University's School of Communication with joint appointment in the Department of Psychology, directing the Mobile Social Cognition (MSC) Lab . His research examines how smartphones/social media reshape social cognition through ecological methods like experience sampling and mobile sensing, emphasizing real-world validity in studying on-the-move human connection. His work spans social psychology , communication technology , and health interfaces , focusing on temporal dynamics of digital habits, online/offline navigation, and psychological impacts of mobile media. Key methodologies include naturalistic stimuli analysis, time-series modeling, and cross-platform behavioral tracking to investigate cognitive processes underlying social media engagement. Recent publications (2020-2025) reveal strong interdisciplinary integration between digital behavior and physical health markers (e.g., inflammation), with growing emphasis on cultural contexts, self-regulation mechanisms, and bidirectional health effects. Studies increasingly employ mobile sensing to capture real-time interactions between psychological states and technology use across diverse populations. Bayer mentors active PhD candidates including Stephanie Torres-Pantoja (social identity in online environments), Razieh Pourafshari (temporal app-use modeling), and Enoch Montes (social comparison dynamics), while alumni like Morgan Quinn Ross (Oregon State faculty) continue related research trajectories. The MSC Lab operates under a "slow science" philosophy , prioritizing methodological rigor through experience sampling, mobile sensing, and sequence analyses. Current projects explore pro-social mobile interactions, platform-specific cognitive effects, and temporal patterns of digital wellbeing, using mixed-methods approaches to bridge individual cognition with behavioral outcomes in naturalistic contexts.

Laura Yvonne BulkView profile

Assistant Professor

• Disability Studies
• Occupational Therapy
• Inclusion and Belonging
• +4 more

Laura Yvonne Bulk serves as an Assistant Professor of Teaching in the Department of Occupational Science & Occupational Therapy within the University of British Columbia's Faculty of Medicine. Her academic work centers on advancing disability justice through critical analysis of institutional barriers in health professions education and occupational therapy practice. Her educational foundation includes: Bachelor of Social Work (BSW) with anti-oppressive focus Master of Occupational Therapy (MOT) PhD completed under Dr. Tal Jarus emphasizing community-centered research Dr. Bulk's research program critically examines belonging mechanisms for disabled individuals in academia and healthcare through frameworks like the Belonging in Academia Model (BAM). She pioneers research-based theatre to transform empathy in health education and investigates invisible labor in accessibility co-creation. Her scholarship consistently centers epistemic justice , challenging traditional knowledge hierarchies by prioritizing disabled communities' lived expertise. Current projects include PARCOURS (accessible recreation standards) and JEDI integration in research methodology. Analysis of her 30+ publications reveals a cohesive trajectory toward dismantling ableism in occupational science. Her work uniquely bridges Critical Disability Studies with practical healthcare education reform, particularly through arts-based methods and dual-role identity research. The 2022-2025 publications show increasing focus on systemic change via policy analysis and institutional accountability frameworks. Dr. Bulk has not been associated with any scientific awards in the provided documentation. Her educational impact spans multiple domains: Developed UBC's accessibility support systems for health profession students (2020-present) Created interdisciplinary graduate courses on occupation and justice Pioneered mentorship models through PIE-OT for international occupational therapists Advocated for disability-inclusive fieldwork education standards Though specific grants aren't detailed, her PARCOURS project demonstrates active research funding for accessible recreation standards development. She collaborates intensively with UBC's Centre for Accessibility and health program partners to implement findings. Her community-engaged approach extends to spiritual communities and outdoor recreation advocacy, notably through user-driven research on winter accessibility standards. Current work focuses on translating the Belonging in Academia Model into institutional practice across Canadian health education programs.

Christoph LangView profile

Lecturer

• Physiotherapy
• Musculoskeletal Disorders
• Digital Forensics
• +4 more

Christoph Lang is a Lecturer at the Department of Health Sciences within the Institute of Health Sciences at the University of Applied Sciences St. Pölten (FH St. Pölten). Holding degrees of PT (Physiotherapist), BSc, and MSc, his academic and professional work bridges health sciences and digital forensics/cybersecurity education. Research Interests : Musculoskeletal disorder rehabilitation (e.g., frozen shoulder treatment) Digital forensics aligned with the NICE Framework Cybersecurity education through simulation games Agent-based modeling of network behavior Biometric authentication on mobile devices Advanced metering infrastructures Publications highlight interdisciplinary work spanning physiotherapy, cybersecurity, and simulation technologies. While no scientific awards are explicitly mentioned in the provided texts, his contributions to practice-oriented education and musculoskeletal research are notable.

Monika TrimoskaView profile

Assistant Professor

• Cryptanalysis
• Post-Quantum Cryptography
• Multivariate Cryptography
• +6 more

Monika Trimoska is an Assistant Professor at the Coding Theory and Cryptology group at Eindhoven University of Technology (TU/e) , where she has worked since 2023. Previously, she was a postdoc at Radboud University and obtained her Ph.D. in cryptography at the University of Picardie Jules Verne under the supervision of Gilles Dequen and Sorina Ionica. She has also served as a Teaching and Research Assistant at her alma mater. Current Affiliation: Assistant Professor, TU/e (2023–present) Previous Affiliations: Postdoc at Radboud University (2021–2023), Teaching/Research Assistant at University of Picardie (2017–2021) Research Interests revolve around cryptanalysis of post-quantum cryptosystems , focusing on multivariate , code-based , and isogeny-based systems. Her work bridges theoretical and practical security analysis, particularly through SAT solvers and fault injection attacks . Recent Publications demonstrate expertise in algebraic attacks against digital signature schemes like MQ-Sign and CSIDH , with a focus on code equivalence problems , trilinear forms , and parallel collision search . She has also contributed to homomorphic encryption applications. Teaching Activities include courses on Applied Number Theory and Algebra and guest lectures on isogeny-based cryptography at Radboud University. She has co-supervised multiple Ph.D. , Master’s , and Bachelor’s students. Technical Contributions include open-source tools like WDSat (SAT solver for Weil descent) and MCE (Matrix Code Equivalence implementations).

Ege KIPMANView profile

Assistant Professor

• Computer Science
• Data Mining
• Machine Learning
• +4 more

Ege KIPMAN is an Assistant Professor in the Department of Computer Engineering at Istanbul Beykent University's Faculty of Engineering and Architecture. He has held academic roles since 1999, including Lecturer and Research Assistant positions, and currently serves as Deputy Director of Research and Application Center since 2021. Research Focus: Machine learning applications, semantic technologies, computer networks (IPv6), and e-commerce systems. Key Contributions: Developed a mobile payment wallet architecture, explored data mining in travel agencies, and created a hybrid system for e-commerce. Theses Supervised: Advised 5 students (2016-2023) on topics ranging from student performance prediction to facial recognition algorithms. Administrative Roles: Deputy Director of Research and Application Center (2021-present).

Marcus BirathView profile

Assistant Professor

• Information Security
• Cybersecurity
• Digital Forensics
• +3 more

Marcus Birath serves as an Assistant Professor in the Department of Information Technology at the University of Skövde's School of Informatics. His office is located in Room PA410L and he can be contacted at marcus.birath@his.se or by phone at 0500-448892. He holds dual administrative roles as both Training Course Manager and Program Manager for undergraduate programs in his field. Dr. Birath's research focuses on human-centered aspects of information security, examining how users interact with security technologies across different demographic groups. His work investigates authentication adoption patterns, digital forensics cooperation, and password security systems with particular attention to generational differences between digital natives and immigrants. His research bridges theoretical security principles with practical user considerations, making significant contributions to usable security frameworks. His publication record demonstrates consistent scholarly output with four major works from 2020-2025 in reputable venues including the International Journal of Information Security and proceedings of the IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance. These publications reveal trends toward increasingly sophisticated examination of human factors in security technology adoption. As an educator, Dr. Birath coordinates multiple undergraduate courses ranging from 3 to 9 credits, covering foundational topics in information technology and cybersecurity. His teaching responsibilities indicate a strong commitment to developing curriculum that prepares students for real-world security challenges while maintaining academic rigor.