جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Computer Vision
• Image Processing
• +۳ مورد دیگر

Matthias O. Franz is a Professor in the Department of Computer Science at Hochschule Konstanz University of Applied Sciences, Konstanz, Germany, since 2007. His academic work spans theoretical and applied research in Machine Learning, Computer Vision, and Computational Neuroscience. Research Interests His research focuses on interdisciplinary applications of computational methods, including: Machine Learning algorithms for image analysis and signal processing Computer Vision techniques in object recognition and 3D reconstruction Computational Neuroscience studies on echolocation and visual saliency Quantum Physics applications in space missions Notable contributions include kernel methods for image modeling, steganalysis frameworks, and biomimetic navigation systems inspired by biological processes. Publication Trends Dr. Franz’s 15 most recent publications (2022–2011) demonstrate a trajectory from foundational work in nonlinear system modeling to applications in space technology, computer vision, and acoustic signal analysis. Key trends include: 2022: Image novelty detection using mean-shift algorithms for sensor technology 2015: Dual-species atom interferometry for space-based physics and hybrid image registration 2014: Geometric primitive classification in point clouds and multi-camera stereo matching 2013–2011: Steganalysis, Gaussian process calibration, and computational models of echolocation 2008–2007: Early work on Wiener series and visual saliency prediction

• Distributed Computing
• Self-stabilizing Algorithms
• Network Algorithms
• +۱ مورد دیگر

Alain Cournier is a University Professor at the University of Picardy Jules Verne (UPJV), France, affiliated with the ALCO research unit (UR 4290) focusing on Algorithmic and Complexity. His office is located in room 401 with contact phone 5913. He maintains an active research profile with continuous publications from 1992 through 2024, primarily in distributed computing and theoretical computer science. Professor Cournier's research centers on fault-tolerant distributed algorithms, specializing in self-stabilizing systems for networked environments. His core contributions span leader election protocols, synchronous unison mechanisms, and message forwarding algorithms in directed and undirected topologies. He pioneered work in snap-stabilization and polynomial-time convergence guarantees, with recent focus on directed network challenges. Earlier career phases included modular graph decomposition algorithms (1990s), while 2018-2019 saw exploration of autoencoder neural networks for anomaly detection in connected buildings. Analysis of his 15 most recent publications reveals strong continuity in distributed algorithms research (12/15 papers), with 2023-2024 works exclusively addressing self-stabilization in directed networks using innovative metaphors like Roman infrastructure. The 2018-2019 neural network studies represent a brief interdisciplinary expansion before returning to core theoretical work. His publications consistently appear in premier venues including PODC, ICDCN, and Theoretical Computer Science, often collaborating with Altisen, Defalque, and Devismes. He operates within the ALCO research unit (UR 4290) at UPJV, which serves as the institutional home for his algorithmic complexity research. This unit facilitates collaboration across the French distributed computing community, evidenced by regular AlgoTel conference participation. While specific lab structures aren't documented, his publication patterns indicate sustained theoretical work with periodic applied explorations in cybersecurity contexts.

Timo Kretschmerمشاهده پروفایل

مدرس

• Building Information Modeling
• Architectural Animation
• Computer-aided Design
• +۳ مورد دیگر

Timo Kretschmer M.A. is a Lecturer at HTWK Leipzig's Faculty of Architecture and Social Sciences, specializing in Building Information Modeling (BIM), computer-aided design, and architectural animation. He has been affiliated with the university since 2004, initially working in the Faculty of Civil Engineering before moving to the Faculty of Architecture and Social Sciences in 2014. As Webmaster of the IT organization and Member of the Faculty Council, he plays a significant role in the university's digital infrastructure. His research focuses on BIM implementation, digital building applications, and virtual construction monitoring. He has been involved in significant projects including the cooperative doctoral procedure with Leipzig University on the reconstruction of Max Klinger's 'Christus im Olymp' and the Saxon Ministry of Justice's model project (2007-2008). His current research (2023-2025) continues to advance digital methods in architectural practice. Kretschmer's publications and presentations demonstrate a clear trajectory from foundational BIM concepts to advanced implementation strategies. His 2024 handbook 'BIMcert Handbuch Grundlagenwissen openBIM' represents the culmination of his expertise, while his earlier works from 2004-2015 established his contributions to architectural history and education. His conference presentations since 2015 show increasing specialization in BIM competence development, data security, and interdisciplinary applications. Chairman of DIN NA 005-13-05 AA 'Professional Competence' Spokesperson for buildingSMART eV Specialist Group 'Certification' Member of buildingSMART International PCert Sub-Committee Member of CEN/TC 442/WG8 'Competence' Founding member of buildingSMART eV Regional Groups in Saxony and Central Germany As an active participant in professional organizations, Kretschmer contributes significantly to standardizing BIM competence frameworks. His work with the Saxony Chamber of Architects on the 'Digital Building Application' working group demonstrates his commitment to bridging academic research and professional practice. His jury work for the BIM Champions awards (2021-2025) further establishes his authority in the field. The IT infrastructure he helps maintain, including the BIMcloud system, supports numerous architectural design projects across the faculty.

• Cybersecurity
• Artificial Intelligence
• Automata Theory
• +۴ مورد دیگر

Eva Maia is a cybersecurity researcher at Instituto Superior de Engenharia do Porto (ISEP), affiliated with the Research Group in Engineering and Intelligent Computing for Innovation and Development . She holds a PhD in Computer Science from the University of Porto and has contributed extensively to AI-driven cybersecurity solutions for cyber-physical systems in healthcare, airports, and industrial sectors. Education: PhD in Computer Science (2016), University of Porto MSc in Computer Science (2010), University of Porto BSc in Computer Science (2008), University of Porto Her research integrates Artificial Intelligence with Cybersecurity , focusing on adversarial machine learning, network intrusion detection, and data privacy. Recent projects include SAFE , VESTA , and GENIUS , addressing security in 6G networks, ransomware defense, and generative AI for software development. Key trends in her 15 most recent articles (2022–2025) include: AI robustness , privacy-preserving neural networks , and holistic security frameworks for healthcare and industrial systems. Notable awards: Best Application Paper Award 2023 , Young Engineer Innovation Award , and Industry 5.0 Award . Scientific Contributions: Coordinated student supervision in MSc theses on topics like Adversarial ML and Secure Chatbots Evaluated HORIZON Europe proposals and served as EC expert for AI/cybersecurity projects Developed tools like HERA (network traffic analysis) and TestLab (automated software testing) Leadership Roles: Co-Investigator for EU/National Projects (CYDERCO, AIDA, PHRESH) Programme Committee member for ESORICS and EUROSIS conferences Organizing Committee member for DCAI and CANOPY workshops

• Security Studies
• Safety Engineering
• National Defense
• +۳ مورد دیگر

Ryszard Szynowski is a researcher affiliated with WSB University , focusing on Security Studies and Safety Engineering (50% each). His work spans national defense, military administration, and crisis management, with extensive contributions to academic literature and Polish security policy development. He has supervised 33 promoted theses, indicating a strong mentorship role in shaping defense and security research. Affiliation: WSB University Research Interests: Security Studies, Safety Engineering, National Defense, Military Administration, Crisis Management His research explores historical evolution of military administration, comparative analysis of defense systems in Poland, Czech Republic, and Slovakia, and security challenges in educational institutions. He has contributed to conceptual frameworks for territorial defense forces and Polish-Ukrainian cross-border security collaboration. While his publications emphasize practical applications of security science and administrative integration, the absence of explicit scientific awards or a detailed educational background in the provided data limits further categorization. His work often bridges legal frameworks with operational needs in defense and emergency contexts.

Earl Craneمشاهده پروفایل

استاد مدعو

• Cloud Security
• Cyber-Physical Systems Security
• Privacy Policy and Regulation
• +۸ مورد دیگر

Dr. Earl Crane is a cybersecurity executive and trusted educator affiliated with Carnegie Mellon University as an Adjunct Professor since 2002, teaching cybersecurity to graduate students and executives. He also serves as a Cybersecurity Fellow at the University of Texas at Austin Strauss Center , leveraging his PhD research and extensive industry experience across government and private sectors. His research interests span a broad spectrum of cybersecurity domains, including Cloud Security Cyber-Physical Systems Security IoT Security Privacy Policy and Regulation Risk Analysis and Management Security Education, Awareness, and Training Security Policy and Regulation Social Networks Security These fields reflect his expertise in addressing both technical and strategic challenges in modern cybersecurity. Dr. Crane has been recognized as a Scientific Award Recipient through his designation as a Cybersecurity Fellow at the University of Texas at Austin Strauss Center, highlighting his contributions to the field. As a trusted advisor , Dr. Crane has worked with the White House National Security Council, Homeland Security, financial institutions, and Fortune 100 companies. He founded Emergynt (2015-2018), a digital risk management platform derived from his PhD research, and provides CISO-as-a-service to firms. His career includes board-level cybersecurity expertise (NACD), FedRAMP cloud security authorization support for Amazon Web Services, and leadership in breach response and threat mitigation programs for major organizations.

Raphaela Stöcklمشاهده پروفایل

پژوهشگر

• Learning Analytics
• Educational Technology
• Information Systems
• +۲ مورد دیگر

Raphaela Stöckl is a Scientific Associate and research assistant at the Chair of Business Information Systems and Management Support within the Institute of Business Administration at the Faculty of Economics, University of Augsburg. She has been working at the chair since summer 2020, initially as a research assistant during her studies, and then continuously since July 2023. Her educational background includes a bachelor's and master's degree in industrial engineering from the University of Augsburg. Ms. Stöckl's research is centered on learning analytics , investigating how data analytics can enhance learner support in educational settings. Her work spans educational technology , information systems , and information security , with specific interests in digital collaboration tools, self-regulated learning, technology acceptance, and cybersecurity awareness. She applies design science research methods to innovate in higher education teaching and develops metrics for information security behavior. Analysis of her recent publications (2024-2025) reveals a consistent theme of leveraging information systems to solve educational challenges, particularly in the design of effective learning environments and security training programs. Her interdisciplinary approach bridges business informatics with pedagogical theory. She serves as an academic advisor for Bachelor's and Master's students in the Business Information Systems (WIN) program and teaches the Research Seminar on Management Support Systems. Ms. Stöckl is a member of the research team led by Prof. Dr. Marco Meier, contributing to the chair's mission of advancing business informatics and management support systems through both theoretical and applied research.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۹ مورد دیگر

Professor Sule Yildirim Yayilgan is a distinguished academic at the Department of Information Security and Communication Technology (IIK) within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. She has held the position of Professor since 2020, following her tenure as Associate Professor from 2016-2020. Dr. Yayilgan previously served as Head of Department between 2005-2009 at HIHM (now part of NTNU). Her academic journey spans over 30 years in teaching and research, with significant contributions to interdisciplinary fields bridging AI, cybersecurity, and privacy. Her educational background includes a MSc in Computer Engineering (1995) and a PhD in Artificial Intelligence and Computer Science (2002). Dr. Yayilgan has led and participated in numerous international research projects funded by EU Horizon 2020, Eurostars, Erasmus+, and various Norwegian research councils. She currently leads the MR PET (Multidisciplinary Research group on Privacy and data protEcTion) research group and serves on the scientific board of NTNU's strategic area in Data Science. Dr. Yayilgan's research spans multiple domains with a unifying focus on ethical, legal, and privacy-preserving AI systems. Her work addresses critical challenges in health, energy, education, and security sectors through advanced AI methodologies. She has published over 100 journal and conference papers, with recent work focusing on hate speech detection, border security technology acceptance, smart grid security, and explainable AI applications. Her publications demonstrate a strong emphasis on practical implementations that balance technical innovation with societal considerations. As an active research leader, she currently oversees several significant projects including VIPA-DELF (vineyard disease detection using federated learning), METICOS (border control technology monitoring), CINELDI (intelligent electricity distribution), and AQMA (air quality monitoring). She also serves on multiple ethics boards and research integrity committees, reflecting her commitment to responsible innovation. Dr. Yayilgan has supervised numerous graduate students throughout her career, advising 41+2 (in progress) MSc students and 3+2 (periods) +6 (in progress) PhD candidates. Her administrative contributions include membership in NTNU's Research Integrity Committee, the Trondheim ACM Women Chapter, and various project management boards for EU-funded initiatives. She maintains active professional affiliations with IEEE, the International Association for Pattern Recognition, and COST Actions focused on language technologies and security research.

• Machine Learning
• Computer Vision
• Data Compression
• +۳ مورد دیگر

Don Adjeroh is a Professor and Associate Chair in the Lane Department of Computer Science and Electrical Engineering at West Virginia University (WVU). He serves as Graduate Coordinator for CS programs and has led multiple NSF-sponsored projects including Bridges in Digital Health and Multi-Scale Integrative Approach to Digital Health . His research focuses span Machine Learning , Bioinformatics , Computational Biology , and Data Compression . NSF CAREER Award recipient Collaborated with institutions like University of Central Florida and University of Canterbury Led workshops on Plant Image Analysis and Long Non-Coding RNA research His academic contributions include co-authoring the book The Burrows Wheeler Transform: Data Compression, Suffix Arrays, and Pattern Matching (Springer, 2008) and developing software tools like BSMP and PSA for data compression and protein family modeling. He teaches graduate-level courses in String Algorithms and Information Theory , with former projects involving undergraduate and graduate students in DNA microarray image processing and 3D video compression research. Key Scientific Awards : NSF CAREER Award NASA-WV Space Consortium funding WV-EPSCOR grants NSF-CITeR support DOD-ONR/DHS/DOJ/NIJ/NHPRC sponsorships

• Human-Computer Interaction
• Human-Centered Design
• End-User Development
• +۵ مورد دیگر

Antonio Piccinno is an Associate Professor at the Department of Computer Science , University of Bari Aldo Moro (UNIBA). He is a founding member and coordinator of the IVU (Interaction, Visualization, Usability & UX) Laboratory , focusing on the interplay between Human-Computer Interaction (HCI) and Software Engineering through End-User Development (EUD) techniques. His career spans roles as Research Fellow , Assistant Professor , and now Associate Professor , with a Ph.D. in Computer Science from UNIBA (2005). His research interests include Human-Centered Design (HCD) , End-User Development (EUD) , Adaptive Interfaces , Secure Software Design , and Ambient Intelligence . He has authored over 150 publications and contributed to EU-funded projects like EUD-Net , FairsNet , and FAIRWIS . His work bridges academia and industry through collaborations with international institutions such as the University of Colorado at Boulder. His recent publications highlight trends in Human-AI Symbiosis , IoT for Cultural Heritage , and Security Education . He actively organizes conferences, including roles as Full Papers Co-Chair at INTERACT 2023/2021 and Founder/Co-Chair of workshops like CoPDA and PDEUD . He serves on the Steering Committee of IS-EUD and is a member of ACM , IEEE , and ACM SIGCHI . At UNIBA, he teaches Software Engineering (undergraduate) and Cloud Computing (graduate). He has supervised ~70 bachelor’s/master’s theses and one PhD student. The IVU Lab he co-founded investigates adaptive systems, ambient intelligence, and secure software design.

• Cloud Computing
• DevOps
• Infrastructure as Code
• +۷ مورد دیگر

Ruth Lennon is a Lecturer in Computing at the Department of Computing in Donegal, Ireland. She actively contributes to computer science education, focusing on curriculum development, gender diversity in computing, and intercultural learning. Her research bridges academic and industry practices in cloud computing, DevOps, and infrastructure security. External Roles: ISO/IEC JTC 1/SC 38/WG 6 Convenor, External Examiner at Munster Technological University, and former roles at Galway-Mayo Institute of Technology and Dundalk Institute of Technology. Research Focus: Cloud computing, DevOps best practices, and educational innovation are central to her work. She explores statistical models for student success and security frameworks for infrastructure-as-code deployments. Scientific Awards: ACM History Committee Fellowships (2022) ACM SIGPLAN Student Research Competition Prize (2005) IEEE SA Emerging Technology Award (2022) IEEE Volunteer Leadership Training (VoLT) Program - 2nd Prize (2024) Masters Teacher of the Year 2024 Finalist (2024) Conference Leadership: She chairs events like the IEEE UK and Ireland International Leadership Summit (2025), ISO/IEC JTC 1/SC 38 Plenary (2025), and the ACBSP Region 3 Conference (2024). Her work spans collaborations across Western Europe and North America.

Tobias Mahlerمشاهده پروفایل

استاد

• Artificial Intelligence Law
• Robotics Regulation
• Cybersecurity Law
• +۵ مورد دیگر

Tobias Mahler is a Professor of Law at the University of Oslo's Department of Private Law and serves as deputy director of the Center for Legal Informatics. He leads the legal innovation lab LILO and has been a visiting scholar at prestigious institutions including Stanford Law School and the Max Planck Institute for Foreign and International Criminal Law in Freiburg, Germany. Originally trained as a German lawyer, Mahler has practical experience having previously practiced as a paralegal in Norway. Professor Mahler's research spans the intersection of law and emerging technologies, with particular expertise in artificial intelligence regulation, robotics law, cybersecurity, and digital governance. His work focuses on developing legal frameworks that balance innovation with risk management and proportionality. He has published extensively on the EU AI Act, examining its risk-based approach and implementation challenges across various technological domains. His research also addresses the legal implications of healthcare robotics, cloud computing services, and domain name systems in the evolving digital landscape. Analysis of Mahler's recent publications reveals a strong focus on the regulatory challenges posed by artificial intelligence, particularly the EU's regulatory framework. His work examines both high-risk and non-high-risk AI systems, exploring compliance procedures, national implementation strategies, and the relationship between risk management and legal proportionality. He has made significant contributions to understanding how legal frameworks should address specific applications like medical AI, care robotics, and smart robotics within the EU context. His research consistently bridges technical and legal perspectives, emphasizing the need for adaptable regulatory approaches that can keep pace with technological innovation. Professor Mahler holds several important positions that demonstrate his influence in the field. He serves as a member of the Research Council's advisory expert group for the KI initiative (2023), is a board member of the Norwegian Association for Law and EDB, and participates in Standard Norway's committee on Artificial Intelligence (SN/K 586). He has led significant studies for both the Research Council of Norway on research data sharing and for the EU Commission related to the Digital Services Act. Previously, he served as program manager for the LLM in Information and Communication Technology Law. At the University of Oslo, Mahler is actively involved in research groups focused on Law and Technology (JOT) and Market, Innovation and Competition (MIK). He leads the legal innovation lab LILO and contributes to projects including Societal Security and Digital Identities (SODI) and Vulnerability in a Robot Society (VIROS), which examine the legal and societal implications of emerging technologies in security contexts and robotics.

Xiangyang Liمشاهده پروفایل

استاد آموزشی

• Information Security
• Security Intelligence
• Human Security Informatics
• +۵ مورد دیگر

Xiangyang Li is an Associate Teaching Professor in the Department of Computer Science at Johns Hopkins University, specializing in information security, security intelligence, and human security informatics. His research focuses on computer and system security, user modeling, intelligent systems, simulation and modeling, and knowledge discovery. Education: PhD from Arizona State University Li's work integrates computational cognitive modeling to analyze user security behaviors, phishing classification decisions, and behavioral biometric vulnerabilities. He has developed high-interaction honeypots, explored adversarial techniques against spam detection models, and studied monetary incentives in phishing scenarios. His funded projects include contributions to cybersecurity from DARPA, Air Force Research Laboratory, University of Michigan, and Rensselaer Polytechnic Institute. Li has received recognition including Best Paper Nomination at HICSS-52 and First Place Award at SIG-KM International Research Symposium. At JHU, he teaches courses such as Introduction to Information Security and Computer Intrusion Detection. His research is affiliated with the Information Security Institute.

H. R. McMasterمشاهده پروفایل

مدرس

• Military History
• National Security
• US Foreign Policy
• +۳ مورد دیگر

H.R. McMaster is a Lecturer at Stanford University’s Graduate School of Business and holds senior fellowships at the Hoover Institution and the Freeman Spogli Institute . A retired U.S. Army lieutenant general, he served as Assistant to the President for National Security Affairs (2017–2018) and held key military roles in Iraq, Afghanistan, and the Army Capabilities Integration Center. Education : PhD in Military History from the University of North Carolina at Chapel Hill Research Interests : Military history, strategic leadership, counterinsurgency, and U.S. foreign policy McMaster’s publications focus on military strategy, authoritarian regimes, and geopolitical tensions, with a historical lens on conflicts in the Middle East, Ukraine, and Asia. His awards include prestigious fellowships at Hoover, Arizona State University, and the Freeman Spogli Institute. As a commentator, he frequently addresses U.S. alliances, cybersecurity, and warfare evolution.

• eHealth
• Health Informatics
• Machine Learning in Healthcare
• +۴ مورد دیگر

Adrian Smales is a Senior Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment, where he is affiliated with the Centre for Distributed Computing, Networking and Security. His research focuses on the intersection of computing technologies and healthcare systems. Position: Senior Lecturer Institution: Edinburgh Napier University School: School of Computing Engineering and the Built Environment Research Centre: Centre for Distributed Computing, Networking and Security Dr. Smales specializes in eHealth, health informatics, and the application of machine learning and cybersecurity in healthcare contexts. His research interests include developing frameworks for frailty assessment, trust architecture in health systems, and data analytics for health and social care. He has made significant contributions to understanding how machine learning can be applied to Scottish health and social care demographics, as well as developing e-Frailty evaluation frameworks for elderly care. His publication record spans from 2013 to 2021, with a concentration of work around 2015, focusing on practical applications of technology in healthcare settings. The articles demonstrate a consistent theme of applying computing technologies to solve healthcare challenges, particularly in data security, patient monitoring, and predictive analytics for social care systems. Machine Learning for Health and Social Care Demographics in Scotland (2019) Review of e-Frailty Evaluation Frameworks (2015) Towards trust and governance in integrated health and social care platforms (2017) Dr. Smales has supervised PhD research, including a project on 'Test-bed and evaluation of a home-based adverse event prediction infrastructure' (2013-2021), where he served as Director of Studies under the supervision of Prof Bill Buchanan. He has been involved in multiple research projects including 'Next Generation Trust Architecture' (2018-2020), 'e-Frail - Phase 2' (2017-2018), and 'CM2000 Follow On' (2014), often collaborating with Prof Bill Buchanan and Alistair Lawson. His work has received funding from organizations including the Digital Health Institute and Scottish Funding Council.