Find Academic Supervisors

• Cyber Criminology
• Digital Sociology
• Information Law
• +5 more

Kristjan Kikerpill is a Lecturer in Information Law and Digital Sociology at the University of Tartu's Faculty of Social Sciences, Institute of Social Studies (since 2022). Previously, he served as a Consultant of Information Law (2021–2022). He holds a Doctor’s Degree in Cyber Criminology from the University of Tartu (2022), focusing on social engineering attacks and communication-based crime analysis. Education includes a MA in Law (Information Technology Law) and BA in Social Sciences & Law from the University of Tartu, alongside studies at Miina Härma Gymnasium. His research bridges cyber criminology, digital sociology, and information law, with a focus on online deception, AI ethics, and media discourse analysis. Key research interests include cybercrime communication dynamics, AI in education, pandemic-era fraud, and deepfake technologies. He supervises master’s theses on topics ranging from health data tracking to cybersecurity behavior in older adults. His work appears in journals like Child and Adolescent Mental Health and Critical Criminology , with recent publications addressing ChatGPT’s societal impact and vaccine certificate fraud. Publications (2023–2024) emphasize contextual factors in online deception, AI’s dual-edged role in education, and media framing of cyber threats. He collaborates on interdisciplinary projects, such as analyzing Estonian cybercrime case law and Reddit’s content moderation strategies. His work underscores the intersection of technology, law, and societal vulnerability.

Shawn BoyneView profile

Professor

• Comparative Criminal Procedure
• Cybercrime
• Counterterrorism
• +5 more

Shawn Boyne is a Professor and Associate Vice Chancellor overseeing the Business Department, Humanities, Social Sciences, and Education (HSSE) departments, and the Early Childhood Development Center at the University of Minnesota Crookston. He holds a J.D., Ph.D., LLM, and MBA, with academic credentials from institutions like the University of Wisconsin-Madison and Giessen University in Germany. His research focuses on comparative criminal procedure, cybercrime, counterterrorism, and legal systems. Notable works include analyses of German and U.S. legal frameworks, drone law, and data protection. He has been recognized with awards such as the American Council on Education Fellowship and the IUPUI Trustee's Teaching Award. Boyne previously served as a prosecutor and defense attorney in New Mexico, taught at Indiana University's Robert H. McKinney School of Law, and held administrative roles at Iowa State University and the University of Illinois-Springfield. His administrative work emphasizes academic quality, undergraduate education, and institutional collaboration. He actively engages in interdisciplinary initiatives, including a recent charrette workshop with the Duluth campus, and advocates for diversity in the legal profession. His publications span law reviews, comparative law journals, and edited volumes on topics ranging from whistleblowing to juvenile justice.

Youki KadobayashiView profile

Professor

• Internet Engineering
• Web Security
• Cybersecurity Education
• +4 more

Youki Kadobayashi is a Professor at NAIST, specializing in cybersecurity and network engineering. He holds a Ph.D. in Computer Science from Osaka University. His research focuses on Internet infrastructure evolution, cybersecurity education, and standards development. He collaborates with industry and academia on projects like creating technologies for failure recovery and infrastructure co-creation. Research interests include: Internet engineering, web security, cybersecurity education standards, and privacy-preserving systems. His work addresses challenges in smart home security, federated learning for fraud detection, and secure edge computing. Publications span topics like differential privacy, federated learning frameworks, and authentication protocols. He contributes to consortia such as WIDE and organizes competitions like CDMC and Hardening Zero. His lab explores advanced cybersecurity tools and datasets.

Salomi EvripidouView profile

Lecturer

• Educational Robotics
• Algorithms
• Deep Neural Networks
• +3 more

Salomi Evripidou is a Lecturer in Algorithms and Complexity at Neapolis University Pafos, affiliated with the Intelligent Systems Laboratory (ISLab). She holds a B.Sc. in Computer Science from Aristotle University of Thessaloniki (Greece), an M.Sc. in Management from the University of Leicester (UK), and a Ph.D. in Educational Robotics from the joint doctoral program between Neapolis University and the University of Peloponnese (2021). Her research focuses on educational robotics, algorithms, deep neural networks, and intelligent tutoring systems. Notable contributions include integrating AI into educational support systems, cybersecurity frameworks leveraging LLMs, and IoT-robotics in learning environments. She has published widely on topics ranging from adaptive learning frameworks to robotic platform selection for education. Evripidou actively contributes to interdisciplinary projects, emphasizing technology's role in modern pedagogy. Her work bridges theoretical computer science with practical educational tools, aiming to enhance interactive and accessible learning experiences.

Ćirić JosipView profile

Associate Professor

• Logic
• Scientific Methodology
• Philosophy of Mind
• +3 more

Assoc. Prof. Dr. sc. Josip Ćirić is an Associate Professor at the Department of Information Sciences and Technologies, University of Zadar. He specializes in logic, scientific methodology, philosophy of mind, philosophical counseling, and psychotherapy. His teaching portfolio includes courses such as Introduction to Logic , Research Methodology in Social Sciences , and Philosophy of Information . He leads the ILO - Information Literacy Online project and actively publishes on topics ranging from digital culture ethics to information warfare. Consultations are held Tuesdays 10:30 AM-12 PM. His work bridges philosophy, psychology, and information sciences, emphasizing interdisciplinary approaches to modern societal challenges. His scientific interests focus on the intersection of philosophy with technology and mental health, including studies on computational paradigms of cognition and the role of libraries in digital literacy. He has contributed to debates on misinformation during the pandemic, dark web ethics, and the evolving role of public libraries in gaming communities. His research also explores film preferences, streaming culture impacts, and moral reasoning mechanisms. Notably absent from the records are specific awards or student lists. His professional activities include organizing workshops on philosophical counseling and collaborating on digital humanities projects, reflecting his commitment to accessible education and ethical technology use.

Alexander GlassbrookView profile

Research Fellow

• Transport Law
• Autonomous Vehicles
• Electric Vehicles
• +3 more

Alexander Glassbrook is an Honorary Senior Research Fellow in Road Transport Law at Imperial College London's Department of Civil and Environmental Engineering within the Faculty of Engineering. As a barrister at Temple Garden Chambers, he specializes in transport law with a focus on emerging technologies including autonomous vehicles, electric vehicles, and micro-mobility solutions. His expertise spans civil, criminal, and public law aspects of vehicle technology across multiple practice areas including consumer rights, data protection, environmental law, insurance, personal injury, privacy, and product liability. Mr. Glassbrook holds a BA (Hons) in English Literature from Bristol University (1993), a CPE Diploma in Law from The City University (1994), and completed his legal training at The Inns of Court School of Law (1995). He furthered his legal education with a Diploma in European Community Law from King's College, University of London (2001). He was called to the Bar in 1995 and has since built a distinguished career at the intersection of law and transportation technology. His research focuses on the complex legal frameworks governing autonomous and electric vehicle technologies. Glassbrook examines issues spanning product liability for downloaded software, data protection in connected vehicles, environmental regulations for electric transportation, insurance frameworks for self-driving cars, and personal injury law as they apply to emerging transportation technologies. His work addresses the challenges of regulating advanced driver assistance systems, fully automated vehicles, and micro-mobility solutions like e-scooters and e-bikes within existing legal structures. His publications reveal a trajectory from foundational work on the basic legal concepts of driverless vehicles to increasingly detailed analysis of specific regulatory frameworks as legislation like the Automated Vehicles Act 2024 has moved from proposal to law. His research shows particular attention to the practical implementation challenges, liability frameworks across different scenarios, and the interface between technological innovation and established legal principles in transportation. While not receiving formal scientific awards, Glassbrook has been consistently recognized by legal directories as 'the leading light in preparing the Bar for issues relating to driverless cars' (Chambers & Partners 2023) and 'at the cutting edge of the emerging law on autonomous vehicles' (Legal 500 2024). His expertise is sought by industry clients ranging from start-ups to established companies, and he has played a significant role in law reform, including leading the Bar Council's response to the Law Commission's final report on automated vehicle law. At Imperial College London, Glassbrook contributes to the academic community through his research fellowship while maintaining an active practice at Temple Garden Chambers. He co-edits AEVlaw.com, a specialized blog on automated and electric vehicle law, which serves as a resource for legal professionals and industry stakeholders navigating this rapidly evolving field. His work bridges academic research with practical legal application in the transportation technology sector, making him a key figure in shaping the legal framework for future mobility solutions.

Kamal Youcef-ToumiView profile

Professor

• Dynamic Systems and Controls
• Robotics
• Manufacturing Automation
• +4 more

Kamal Youcef-Toumi is a Professor of Mechanical Engineering at MIT. His research focuses on dynamic systems, robotics, manufacturing automation, and high-speed atomic force microscopy (AFM). He leads the Mechatronics Research Laboratory (MRL), which develops advanced instrumentation and control systems for applications in nanotechnology, biomedical engineering, and energy systems. He has pioneered innovations like the world's largest-range high-speed AFM and in-pipe robotic leak detection systems. Education: B.Sc. (University of Cincinnati), M.Sc. and Ph.D. (MIT) Affiliations: Director of Global MIT At-Risk Fellows Palestine, Co-Director of the Center for Complex Engineering Systems, and Director of the Ibn Khaldun Fellowship for Saudi Arabian Women. Research Interests Dr. Youcef-Toumi's work spans: High-speed AFM for real-time nanoscale imaging Robotics for pipeline inspection and rehabilitation Energy-water nexus and smart grid systems Biomedical applications of AFM in cartilage rheology studies Soft robotics and tactile sensing His lab's inventions include patented leak detection robots and adaptive nanopositioning systems. Recognition He has received the National Instruments Engineering Impact Award (2014) and NSF's Presidential Young Investigator Award (1987). Over 30 patents highlight his contributions to mechatronics and nanotechnology. Teaching Teaches core courses like Introduction to Robotics (2.12) and Analysis and Design of Feedback Control Systems (2.14) . His educational innovations include AFM curriculum development for engineering students. Labs & Teams Leads the Mechatronics Research Lab, collaborating with industry partners on projects like technorganic printing and autonomous underwater vehicles inspired by fish locomotion.

Thomas Michael FischerView profile

Researcher

• Technostress
• NeuroIS
• Digital Stress
• +4 more

Thomas Michael Fischer is a Researcher at FH Steyr, affiliated with the LOGISTIKUM and Research Center Steyr. His work focuses on Technostress, NeuroIS, Digital Stress, and Artificial Intelligence in Supply Chain Management. He leads and collaborates on projects such as 'Taking an Active Approach to AI Capability Maturity Engineering' and 'LOG-Logistikum.Retail 2.0', addressing digital transformation and resilience in logistics. His research includes developing assessment tools like the Digital Stressors Scale (DSS) and exploring cybersecurity in supply chains. Fischer has published widely on topics ranging from AI capabilities in Austrian supply chains to the impact of digital badges on education. He holds a doctoral degree and is actively involved in academic conferences and peer-review activities. Key collaborations include projects with industry partners and international teams, addressing challenges in cyber risks, supply chain resilience, and retail logistics. His contributions span over 40 publications, with a strong focus on applying digital technologies to solve real-world logistical and organizational issues.

Frederike DümbgenView profile

Assistant Professor

• Robotics
• Optimization
• Machine Learning
• +12 more

Frederike Dümbgen is an incoming Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, starting in Spring 2026. She is currently a researcher with the Willow team at Inria Paris, focusing on optimization for robotics, and previously served as a postdoctoral fellow at the University of Toronto's Robotics Institute. Education: Ph.D. in Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2021) M.Sc. in Mechanical Engineering, EPFL (2016) B.Sc. in Mechanical Engineering, EPFL (2013) Her research centers on improving the efficiency and safety of robots operating in the physical world through principled optimization and machine learning methods. She emphasizes certifiable and globally optimal algorithms to build reliable foundations for next-generation robotics in domains such as autonomous vehicles, assistive technology, and manufacturing. Her work bridges robotics, control systems, and artificial intelligence, with a strong focus on mathematical rigor and scalability. The 15 most recent publications highlight a consistent trajectory in robotics-focused optimization, particularly in state estimation, SLAM, pose estimation, and data-driven methods. These works frequently employ semidefinite programming, convex relaxations, and Koopman-based linearization, demonstrating a deep integration of theoretical optimization with practical robotic applications. Keywords across these papers include robotics, optimization, machine learning, and estimation, with subfields like certifiable algorithms, global optimality, and sensor fusion recurring throughout. Dr. Dümbgen has not yet had scientific awards listed in the provided text. She has not yet advised any named students in the provided materials, and there is no mention of grants or funding sources. However, her research trajectory and publication record suggest active involvement in competitive research environments. Her experience includes internships at Disney Research and ABB, and her master’s thesis was completed at ETH Zürich’s Autonomous Systems Lab. She is currently affiliated with the Willow research team at Inria Paris, a group known for foundational work in computer vision, machine learning, and robotics. This team emphasizes mathematical rigor in algorithm design, aligning closely with her focus on certifiable and globally optimal methods.

Michael VerdicchioView profile

Associate Professor

• Computer Science Education
• Software Engineering
• Algorithms
• +3 more

Dr. Michael Verdicchio is an Associate Professor of Computer Science at The Citadel, affiliated with the Swain Family School of Science and Mathematics. He joined the institution in 2011 and holds a PhD and BSE in Computer Science from Arizona State University. His research focuses on computer science education, software engineering, algorithms, and previously on computational biology and bioinformatics. He also serves as the Graduate Program Director for Computer Science and chairs the graduate curriculum committee. His professional affiliations include Senior Member of the Association for Computing Machinery (ACM) and Program Evaluator for ABET's Computing Accreditation Commission. Dr. Verdicchio teaches a wide range of courses, from introductory computer science to advanced graduate topics like software testing and deployment. His educational contributions include adapting curricula for emerging technologies like generative AI and creating specialized courses such as DevOps. He has also led initiatives to ensure continuity in course delivery during disruptions like hurricanes and pandemics. His research spans pedagogical innovations, including automated assessment methods and interdisciplinary undergraduate research experiences. He has published extensively on topics ranging from network routing algorithms to gene regulatory networks in cancer research. His work bridges theoretical computer science with practical applications in education and bioinformatics. Dr. Verdicchio’s service roles include leadership in accreditation processes, curriculum design, and program assessment. He collaborates with external institutions like the College of Charleston and actively participates in national conferences, contributing to the advancement of computing education standards.

Prabal DuttaView profile

Professor

• Computer Architecture
• Cyber-Physical Systems
• Power and Energy
• +5 more

Prabal Dutta is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, with a joint appointment as a Faculty Scientist at Lawrence Berkeley National Laboratory. His academic journey includes a Ph.D. in Computer Science from UC Berkeley (2009), an M.S. in Electrical Engineering from The Ohio State University (2004), and a B.S. in Electrical and Computer Engineering from The Ohio State University (1997). His research spans Computer Architecture & Engineering, Cyber-Physical Systems, Power and Energy, and Operating Systems & Networking, with significant contributions to wireless sensor networks, embedded systems, and IoT technologies. He leads the Lab11 research group and is affiliated with the Center for Information Technology Research in the Interest of Society (CITRIS) and the Industrial Cyber-Physical Systems Center (iCyPhy). Dutta's recent publications reveal a strong focus on privacy-preserving IoT communications, embedded hardware design, and energy-efficient systems. His work bridges theoretical innovation with practical applications, particularly in power monitoring, infrastructure reliability, and secure wireless protocols. The consistent publication record across top venues like MobiSys, SenSys, and IPSN demonstrates sustained research excellence. Ohio State University COE Distinguished Alumni Award (2025) Okawa Foundation Research Grant (2022) ACM SenSys Test-of-Time Award (2022) Sloan Research Fellowship (2017) NSF CAREER Award (2014) Popular Science's Brilliant 10 (2014) Professor Dutta actively mentors a large cohort of graduate students and has founded multiple successful startups including CubeWorks, nLine, Gridware, and Vizi Metering, which commercialize his research innovations. His teaching portfolio includes foundational courses in embedded systems and specialized seminars on research-to-startup transitions, reflecting his commitment to translating academic research into real-world impact.

Adam FishView profile

Associate Professor

• Cultural Anthropology
• Digital Media
• Drone Studies
• +7 more

Adam Fish is an Associate Professor in the Faculty of Arts and Social Sciences, School of Arts and Media at the University of New South Wales (UNSW). As a Scientia Fellow (Level D), he works across multiple disciplines including cultural anthropology, digital media studies, environmental science, and visual arts. His academic journey began with a PhD in Cultural Anthropology from UCLA in 2013, followed by positions at Lancaster University before joining UNSW in 2019. Dr. Fish's research interests span a wide range of interdisciplinary topics focused on the social, political, and ecological impacts of new technologies. His work particularly examines: The intersection of drone technology with environmental conservation and Indigenous rights Digital media and internet governance from grassroots perspectives Renewable energy development on Indigenous lands Decolonial approaches to technology and media studies The cultural implications of emerging technologies in diverse global contexts His recent publications reveal a clear trajectory toward examining the relationship between technology, Indigenous sovereignty, and environmental justice. A significant portion of his recent work focuses on drone technology applications in conservation, energy development, and Indigenous land management. His research increasingly emphasizes decolonial approaches to technology, challenging Western-centric perspectives in media and environmental studies. The geographical scope of his work spans Indigenous communities in Australia, North America, Indonesia, and beyond, highlighting the global nature of technological impacts on local communities. Among his notable achievements is the Pilkington Teaching Award received at Lancaster University in 2016, recognizing his innovative teaching approaches. His research has been supported by multiple grants including Leverhulme Research Fellowship, European Cooperation in Science and Technology funding, and Engineering and Physical Sciences Research Council grants. Dr. Fish maintains active collaborations with Indigenous communities, particularly focusing on how Aboriginal and Torres Strait Islander peoples engage with renewable energy industries. His current projects involve examining drone technology applications in marine conservation and renewable energy development on Indigenous lands across multiple continents.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +14 more

Evren Dağlarlı is an Associate Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University. He holds a Ph.D. in Control and Automation Engineering from ITU and has extensive experience in robotics, artificial intelligence, and intelligent systems. He is actively involved in research projects and has published in top-tier IEEE conferences and journals. Ph.D., Control and Automation Engineering, Istanbul Technical University (2008–2019) M.Sc., Mechatronics Engineering (Intelligent Systems and Robotics), Istanbul Technical University (2005–2007) B.Sc., Electrical Education, Marmara University (2000–2004) B.Sc., Electrical-Electronics Engineering, Ege University (2021–2023) His research focuses on robotics, artificial intelligence, human-robot interaction, cognitive neuroscience, and machine learning . He develops brain-inspired cognitive architectures and applies them to humanoid robots and autonomous systems. His work integrates deep learning, personality modeling, and explainable AI to enhance intelligent behavior in machines. Recent publications highlight a strong trend in generative AI, personality-integrated language models, UAV design, and computational cognitive modeling . His work bridges neuroscience and AI, aiming to create more adaptive, self-aware, and explainable robotic systems. He frequently collaborates with E. Aribas on topics ranging from UAVs to AI-driven personality modeling. Yenilikçilik Ödülü (Innovation Award), Istanbul Technical University, 2024 He has supervised students and co-authored multiple papers with advisees. He has participated in national and international research projects, including the Gökbörü Alemdar Savaşan İHA Projesi (2024–2025). His technical expertise includes ROS, embedded systems, real-time operating systems, and AI frameworks. He is a member of IEEE, ACM, and ASME and actively contributes to the advancement of intelligent systems through research, development, and academic mentorship.

Gordon RichardsView profile

Professor

• Computer Science
• Cybersecurity
• Information Systems
• +12 more

Gordon Richards is a full-time professor and current Department Chair of Computer Science at Geneva College, where he has been serving since transitioning from the Business department in 2017. He previously chaired the Business, Accounting, and Management Department from 2011 and initially joined the college in 1999 as a part-time instructor. He teaches a wide range of courses in Computer Science, Cybersecurity, and cross-disciplinary subjects at both undergraduate and graduate levels. His academic background includes a DSc in Information Systems and Communications from Robert Morris University (2012), an MS in Computer and Information Resource Management from Webster University (1994), and a BS in Management/Computer Information Systems from Park College (1992). Dr. Richards specializes in Computer Science, Cybersecurity, and Information Systems, with a strong focus on practical applications in business and defense. His expertise spans software engineering, networking and security, database systems, algorithms, and project management. He has played a pivotal role in developing Geneva College’s BS and MS programs in Cybersecurity and Computer Information Systems, as well as creating two innovative 3+1 degree pathways that allow students to earn bachelor’s and master’s degrees in four years. Although no formal publications are listed, his current research centers on comparative analysis of training methods in information assurance, specifically evaluating knowledge transfer, retention, and satisfaction between computer-based and instructor-based training in military settings. This reflects his deep professional experience in cyber operations and training. Program Reviewer – Argosy University Online Programs, College of Arts and Sciences President of the Board of Directors – Alpha and Omega Center Former member – Business and Finance Committee of the Board of Trustees, Geneva College Former Board Member – Delta Mu Delta International Honors Society of Business Former member – Christian Business Faculty Association (CBFA) Professional affiliations: Association for Computing Machinery (ACM), SIGCSE, Project Management Institute (PMI), (ISC)², National Guard Association of the United States, Pennsylvania National Guard Associations Dr. Richards has been instrumental in program development and academic leadership at Geneva College. He created the college’s first 3+1 program in Business Administration and MBA, followed by a second in Computer Science and MS Cybersecurity. His background includes a nearly 28-year military career in the U.S. Air Force, retiring as a Lieutenant Colonel and commander of communications units. He has received no specific scientific awards listed beyond his doctorate, but his professional recognitions include leadership in cyber operations and service in multiple combat zones. He leads academic initiatives in cybersecurity education and is involved in curriculum development, accreditation, and program review. His current project on training effectiveness in the 171st Air Refueling Wing demonstrates a commitment to applied research in cyber training methodologies. Though no lab or research team is explicitly mentioned, his work implies leadership in cybersecurity education infrastructure at Geneva College.

Dongwan ShinView profile

Professor

• Computer Security
• Privacy
• Software Engineering
• +6 more

Dongwan Shin, Ph.D. is a Professor of Computer Science and Engineering at New Mexico Tech (NMT). He serves as Director of the Secure Computing Laboratory (SCL), NSF SFS and S-STEM Programs, and Faculty Advisor for the NMT ACM Student Chapter. His roles include leadership in cybersecurity education and research, including Center of Academic Excellence (CAE) designation for NMT. He has held the Orr Endowed Chair and served as Department Chair (2015–2018). Research Interests : Focuses on cybersecurity, usable security, software engineering, and cloud security. Key areas include access control, malware analysis, cryptography, and privacy-preserving technologies. His work addresses challenges in secure system design, blockchain, and insider threat mitigation. Grants & Projects : CyberCorps SFS Renewal (NSF, PI, 2020–2025) New Mexico SMART Grid Center (NSF, co-PI, 2018–2023) S-STEM Program (NSF, co-PI, 2018–2023) EPSCoR: Sustainable Grid Research (NSF, co-PI) Professional Activities : Program Chair for ACM Symposium on Applied Computing (2017–2020) Guest Editor for IEEE Transactions on Dependable and Secure Computing Leadership roles in TrustCol, CloudApp, and Smart Grid Track conferences Teaching : Offers courses in cybersecurity, cryptography, software engineering, and cloud computing at both undergraduate and graduate levels.