جست‌وجوی استاد و پژوهشگر

Navid Ashrafiمشاهده پروفایل

پژوهشگر

• Immersive Reality
• XR Technologies
• Healthcare Applications
• +۳ مورد دیگر

Navid Ashrafi is a PhD candidate and researcher at the joint initiative between Technical University of Berlin and Hamm-Lippstadt University of Applied Sciences, focusing on immersive healthcare applications. His work bridges computer science and healthcare through projects like MIA-PROM, aiming to digitize medical questionnaires using virtual agents to enhance patient experiences. Navid holds a Master's degree in computer graphics, machine learning, and data analytics from TU Berlin (2022). His research spans immersive reality, XR technologies, and user-centered design, with specific interests in synthetic data generation, eye tracking, and quality-of-experience metrics in healthcare systems. His publications explore synthetic medical data via GANs and the impact of virtual human characteristics in therapy tools. He teaches C/C++ programming and interdisciplinary media projects at both institutions. Current projects include virtual reality exposure therapy and augmented reality applications in healthcare. Navid's work is conducted within the Quality and Usability Lab at TU Berlin's MAR 6.031 facility.

• Formal Verification
• Security-Critical Systems
• Cryptographic Protocols
• +۹ مورد دیگر

Sasa Radomirovic is a Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Computer Science. He is actively engaged in research and currently accepting PhD students. His work bridges formal methods with real-world security applications, focusing on cryptographic protocols, digital identity, and human behavior in security systems. Research Interests: His primary research lies in formal modeling and verification of security-critical systems. He investigates how to design and analyze cryptographic protocols, manage digital identities, authenticate entities securely, and incorporate human fallibility into security models. Applications of his research span RFID, E-Voting, and 5G communication systems. His recent work emphasizes the integration of human factors into cybersecurity, as seen in studies on account security and user perceptions of connected technologies. Publication Trends: Over the past five years, his research output has centered on formal verification, authentication mechanisms, and the human aspects of security. His publications appear in top-tier venues such as IEEE CSF, ESORICS, and CHI, reflecting a strong interdisciplinary approach combining theoretical rigor with practical impact. Themes include security ceremonies, access graphs, and system software security, indicating a consistent focus on foundational and applied cybersecurity challenges. Scientific Recognition: While specific awards are not listed, his research has been cited in Scopus and garnered attention from Mendeley readers and news outlets. His work has been highlighted by multiple X (formerly Twitter) users and covered by 10 news outlets, indicating broader societal and academic impact. Advising and Grants: He is currently accepting PhD students, suggesting active supervision and likely grant-funded research. Although specific grants and advisees are not detailed in the text, his sustained publication record and institutional affiliations imply ongoing research funding and mentorship responsibilities. Labs and Research Groups: While no specific lab name is mentioned, his affiliation with the School of Mathematical & Computer Sciences and his research fingerprint suggest active participation in cybersecurity and formal methods research groups at Heriot-Watt University. His collaborations with researchers across Europe indicate a well-connected network in the security research community.

Kayvan Karimمشاهده پروفایل

استادیار

• Natural Language Processing
• Large Language Models
• Network Security
• +۷ مورد دیگر

Kayvan Karim is an Assistant Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University, Dubai. He serves as Program Director for the MSc Software Engineering and MSc IT Software Systems programs, combining over two decades of industry experience in software engineering and architecture with academic leadership. His research centers on Natural Language Processing (NLP) , Large Language Models (LLMs) , and their applications in network security , software engineering , and sustainable technology . He explores innovative intersections of AI with usability testing, music generation, fashion design, and no-code platforms, contributing to broader goals in artificial intelligence and sustainable development. The recent publications highlight a strong trend in applied AI , focusing on automated systems , multi-agent frameworks , and domain-specific fine-tuning of generative models. These works span human-computer interaction, cinematic AI, sustainable production, and enterprise solutions, demonstrating a versatile and impactful research agenda. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Kayvan Karim supervises research projects, as evidenced by co-authored papers with junior researchers and students such as Tahir Kadegaonkar, M. Sartaee, Ilham Ghori, and others. While formal advising roles or grant funding details are not explicitly stated, his leadership in research output and program direction suggests active mentorship and potential grant involvement. Labs and Research Teams: Though no specific lab or team name is mentioned, Kayvan Karim is actively involved in a collaborative research network focusing on AI applications, as reflected in co-authored works and interdisciplinary projects. His contributions align with AI innovation hubs at Heriot-Watt University, particularly in Dubai, where applied research in software systems and intelligent technologies is emphasized.

Hanna Schraffenbergerمشاهده پروفایل

استادیار

• Human Factors in Security
• Privacy
• Mobile Networks
• +۴ مورد دیگر

Hanna Schraffenberger is an Assistant Professor in the Digital Security group at Radboud University, focusing on human factors in security and privacy. Her work explores how users interact with emerging technologies like open 5G networks, encryption tools, and online interfaces. She supervises student projects addressing themes such as anonymity in 5G, provider motivations in open networks, and dark pattern effects on user behavior. Her research bridges technical and human aspects of security, emphasizing usability challenges in privacy tools and ethical design principles. Notable areas include analyzing user assumptions about mobile network security, mitigating deceptive interface patterns, and improving encryption accessibility. She collaborates with Katharina Kohls on projects studying provider dynamics in open networks and user decision-making processes. Her academic contributions span over 25 peer-reviewed articles, covering topics from dark pattern taxonomy to AI ethics and medical decision support systems. Despite no awards listed, her work consistently addresses real-world usability and ethical concerns in digital systems.

• Biomechanics
• Biomedical Engineering
• Finite Element Analysis
• +۵ مورد دیگر

Anne Polikeit is a Professor at HES-SO, affiliated with Haute Ecole Arc - Ingénierie, where she leads the Industrial Design Engineering department. Her research focuses on biomechanics, biomedical engineering, and medical device development, with significant contributions to finite element analysis in spinal surgery and ergonomic design. Doctorate from University of Bern (2002) Her work spans biomedical engineering projects like the Aspivix atraumatic suction device for gynecological procedures and spinal implant research. She has developed ecodesign methodologies and contributed to offender monitoring systems through the Geosatis project. Recent publications highlight her expertise in clinical applications of computational modeling and sustainable design practices. Key projects include: RiseUp (2021-2022): Autonomous chair for elderly/disabled mobility Bootstrap Ecodesign (2015-2022): Life cycle analysis and sustainable materials education Aspivix (2016-2018): Reducing pain and lesions in uterine procedures Hysteropen (2010-2012): Optical guidance for hysteroscopy Geosatis (2013-2015): Secure electronic monitoring systems Polikeit collaborates with institutions like Aspivix SA, Fair&Square, and Demetrio José, integrating clinical needs with engineering solutions through HES-SO networks.

• Information Visualization
• Visual Analytics
• Time-Oriented Data Analysis
• +۵ مورد دیگر

Wolfgang Aigner is a Professor at TU Wien's Department of Visual Analytics, part of the Faculty of Computer Science. His main affiliation is with the Visual Analytics Research Department (E193-07). He focuses on advancing information visualization, time-oriented data representation, and knowledge-assisted visual analytics. His work emphasizes user onboarding methods for unfamiliar visualizations, integrating explicit domain knowledge into analytic workflows, and developing systems for malware analysis and healthcare informatics. Key research areas include: Design of intuitive visualization onboarding systems Temporal data visualization and pattern detection Integration of explicit knowledge in visual analytics Malware behavior visualization and forensic analysis Healthcare data exploration focusing on temporal patient trajectories Notable contributions include the KAMAS malware analysis system, task cube conceptual framework for visualization design evaluation, and methodologies for visually guided time series imputation. He has supervised 14+ graduate theses exploring topics like glyph editors, temporal data visualization, and bias detection in language models. Recent work emphasizes educational theories in visualization onboarding, with comparative studies on user guidance effectiveness and system scaffolding approaches. His research bridges cognitive science principles with practical visual analytics tools for domains like cybersecurity and healthcare.

Temechu Girma Zewdieمشاهده پروفایل

استادیار

• Cybersecurity
• Artificial Intelligence
• Cloud Computing
• +۴ مورد دیگر

Dr. Temechu Girma Zewdie is an Assistant Professor of Computer Science and Engineering at the University of the District of Columbia’s School of Engineering and Applied Sciences. He holds a Ph.D. in Computer Science and Engineering from UDC and multiple advanced degrees in Cybersecurity, Software Engineering, and Management. His expertise focuses on cybersecurity, artificial intelligence, cloud computing, IoT security, and machine learning. Dr. Zewdie’s research addresses critical challenges in cybersecurity, including ransomware detection in IoT systems, malware identification in cyber-physical systems, and securing software-defined networks against DDoS attacks. He has published extensively in top venues such as HCI International conferences and journals like Issues in Information Systems . His work emphasizes practical applications of AI and machine learning to enhance cybersecurity frameworks and IoT resilience. He teaches courses on database administration, IT security, data communication, and programming in Python and C++. Dr. Zewdie actively contributes to academic conferences and workshops, including presentations on cybersecurity in industrial robotics at Robotics: Science and Systems Conference. His research portfolio reflects a strong focus on interdisciplinary solutions, combining network science, machine learning, and human-computer interaction principles to address evolving cybersecurity threats. While no awards are explicitly mentioned, his prolific publication record underscores his impact in the field.

• Glaciology
• Glacio-hydrology
• Remote sensing and GIS
• +۷ مورد دیگر

Shaktiman Singh is a Lecturer at the School of Geosciences, University of Aberdeen. His research focuses on glaciology, glacio-hydrology, remote sensing and GIS, extreme weather events, and environmental data analyses. Education : Ph.D. Research Interests : His work investigates spatiotemporal land surface temperature variations, usability of satellite-based data in glacio-hydrological models, extreme weather event frequency, and past glacio-hydrological processes on Martian analogues. He also explores 3D terrain data resolution impacts on ice avalanche models and global change effects on water security in Tajikistan. Recent Grants : Singh has secured funding from Grants Academy (University of Aberdeen) for projects on ice stupas, hazardous ice avalanches, and GCRF Pump Prime initiatives. Additional grants include DAAD for extreme weather studies in Scandinavia, VINNOVA for climate-adapted railway maintenance, and collaborations with Technische Universität Dresden. Teaching : He teaches courses such as Introduction to GIS Tools, Techniques, Cartography & Geovisualisation Basics of Remote Sensing and Geospatial Analysis Planetary Sciences Dissertation Dissertation Project in GIS Remote Sensing and Geographical Information Systems Fundamentals of Map Algebra Labs & Collaborations : Singh is affiliated with the Cryosphere and Climate Change Research Group, Northern Rivers Institute, and interdisciplinary teams including UAV UAS Centre for Environmental Monitoring and Mapping (UCEMM), Green Economy Research Centre, and Just Transition Lab.

Paul J. Huمشاهده پروفایل

استاد

• Information Technology in Healthcare
• Artificial Intelligence
• Data-Driven Business Analytics
• +۴ مورد دیگر

Paul J. Hu is the E.R. Dumke Jr. Presidential Endowed Chair in Business and Assistant Dean for Programs in Asia at the University of Utah's David Eccles School of Business, where he serves in the Department of Operations and Information Systems. He holds a PhD in Management Information Systems from the University of Arizona (1998), following a Master's degree in the same field (1992) and a Bachelor's in Chemical Engineering from National Taiwan University of Science and Technology (1987). Dr. Hu's research spans information technology empowerment in health care, artificial intelligence, data-driven business analytics, technology implementation and management in organizations, digital transformation, and information technology-enriched learning and innovations. His work demonstrates exceptional impact, with multiple papers ranking among the most cited in information systems literature, including three papers in the top 10 most cited health IT papers published between 1985-2011. His recent publications reveal a strong focus on applying deep learning and blockchain technologies to healthcare challenges, energy systems, and social media analysis. This research trajectory shows increasing sophistication in handling complex data environments while addressing critical societal challenges in healthcare and infrastructure management. #9 most cited paper in 50-year history of Decision Sciences (2020) INFORMS Information Systems Society Design Science Award (2016) Faculty Research Award, David Eccles School of Business (2016) Among top 50 most productive IS authors globally (1999-2003) Multiple recognition as among most productive/published IS researchers Dr. Hu has secured significant research funding including an NSF CIF21 DIBBs grant ($1.5M) and contributed to the National Center of Excellence for Infectious Disease Informatics. He serves in editorial capacities for prestigious journals including Journal of the AIS and ACM Transactions on Management Information Systems, demonstrating his leadership in the academic community.

Michele Sevegnaniمشاهده پروفایل

مدرس ارشد

• Formal Methods
• Bigraphs with Sharing
• Formal Verification
• +۱۷ مورد دیگر

Michele Sevegnani is a Senior Lecturer in the School of Computing Science at the University of Glasgow, where he also earned his PhD. His work focuses on formal methods, particularly bigraphs with sharing, for modeling and verifying complex, location-aware, event-based systems. He is actively involved in major research initiatives including Probable Futures, TransiT, and CHEDDAR, funded by Responsible AI UK, UKRI, and industry partners. Education: PhD in Computing Science, University of Glasgow MSc in Bioinformatics, University of Edinburgh and University of Trento His research interests include formal verification, digital twins, probabilistic model checking, IoT, mixed-reality systems, and human-autonomy teaming. He has developed BigraphER, an open-source suite for bigraph simulation and analysis. His recent work addresses formal modeling of BDI agents, 5G/6G protocols, and AI in law enforcement. His publications span formal methods, AI, networking, and human-robot interaction, showing a consistent focus on applying rigorous mathematical models to real-world systems. Trends include runtime verification, safety assurance in autonomous systems, and the integration of AI with formal guarantees. Scientific Awards: Nominated for the BCS Distinguished Dissertation Award (2013) Recipient of Amazon Research Award (2022) He advises multiple PhD students and postdoctoral researchers. He has secured grants from the Royal Society of Edinburgh, Taiwan’s Ministry of Science and Technology, and Amazon. He has been a visiting researcher at UC Berkeley and collaborates with institutions in France and Taiwan. He leads the development of BigraphER and is a member of the editorial board of Science of Computer Programming . He regularly presents at international venues and workshops on formal methods and AI safety.

Eileen Bendigمشاهده پروفایل

پژوهشگر

• Digital Health
• Clinical Psychology
• E-Health Interventions
• +۵ مورد دیگر

Dr. Eileen Bendig is a Researcher at the University of Ulm in the Institute of Psychology and Education , Department of Clinical Psychology and Psychotherapy . Her work focuses on digital mental health interventions, particularly chatbots and internet-based therapies, for managing psychological distress in chronic somatic diseases like diabetes and coronary artery disease. Education: Master's in Psychology (University of Ulm, 2016), Bachelor in Psychology (FernUniversität in Hagen, 2014) Qualifications: Psychological psychotherapist in training (since 2018), Baden-Württemberg Certificate in University Didactics (2016) Her research explores the efficacy of blended care models, just-in-time adaptive interventions, and linguistic markers of well-being. She has led multiple randomized controlled trials on interventions like SISU and ACTonDiabetes . Key collaborations include institutions in Germany, Sweden, and Australia. Recent publications focus on chatbot applications , digital health frameworks , and psychological interventions for chronic disease comorbidities. She has secured funding from the German Diabetes Society and university grants. Scientific Awards: Stipendium 'Psychodiabetologie' (2017), Graduate Center Ulm scholarship (2020) Dr. Bendig teaches courses on clinical psychology, language in psychopathology, and psychological aspects of chronic illness. She has presented at international conferences in Germany, Ireland, New Zealand, and Sweden.

Mariano Ceccatoمشاهده پروفایل

دانشیار

• Security Testing
• Penetration Testing
• Code Hardening
• +۵ مورد دیگر

Mariano Ceccato is an Associate Professor in the Department of Computer Science at the University of Verona, Italy. With a PhD in Computer Science from the University of Trento (2006), he has led numerous publicly funded and industrial research projects. His expertise includes security testing, penetration testing, code hardening, and empirical studies. Principal Investigator in multiple research initiatives Visiting Research Scientist at the University of Luxembourg Author/co-author of over 100 peer-reviewed papers Research Focus His work spans Android security, Ethereum smart contracts, REST APIs, and software protection techniques. Key contributions include: Security testing frameworks using reinforcement learning Advanced static analysis for Ethereum bytecode Novel obfuscation strategies for Java/Android Empirical studies on security report usability Comparative analysis of malware detection techniques Scientific Contributions He has received multiple awards including the Best Paper at IEEE ICST 2022, Best Research Paper at IEEE/ACM ICSE 2023, and ACM Distinguished Paper awards.

Arturo Montoyaمشاهده پروفایل

دانشیار

• Computational Modeling in Civil Engineering
• Fracture Mechanics
• Material Deterioration
• +۴ مورد دیگر

Arturo Montoya is a tenured Associate Professor in the Department of Civil and Environmental Engineering and Department of Mechanical Engineering at the University of Texas at San Antonio (UTSA) , where he has served since 2012. He also holds the title of Associate Dean of Undergraduate Programs at the Klesse College of Engineering and Integrated Design. His research focuses on computational modeling, fracture mechanics, and energy harvesting from infrastructure. Ph.D., Civil Engineering and Engineering Mechanics, Columbia University M.S., Structural Engineering, Columbia University B.S., Civil Engineering, Columbia University Research Interests: Computational Modeling: Specializing in finite element methods for structural analysis and fracture mechanics. Material Deterioration: Investigating hydrogen embrittlement and corrosion in high-strength steel. Energy Harvesting: Developing systems to convert roadway energy into usable power. Scientific Trends: His recent publications highlight expertise in computational fracture mechanics , thermomechanical modeling , and roadway energy harvesting through advanced finite element techniques. Awards: AIAA Zarem Distinguished Award (2014): Recognizing innovation in aerospace structural analysis. Grants: Secured over $2.7 million in funding from agencies like the Nuclear Regulatory Commission , Department of Defense , and Texas Department of Transportation for projects on probabilistic risk assessment and energy conversion systems. Student Mentoring: Advised 6 doctoral students (including Reza Nasouri and Daniel Ramirez-Tamayo) and 2 master's students, with research spanning bridge safety , progressive fracture , and polymer stabilization .

• Information Technology Governance
• Business Process Management
• IT Service Management
• +۱۲ مورد دیگر

Ruben Filipe de Sousa Pereira is an Assistant Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa, where he also contributes as Director and Coordinator of the Master's Degree in Computer Science and Management. He is an Integrated Researcher at the Institute of Telecommunications - IUL, focusing on applied research in digital transformation and information systems. His academic background includes a PhD and an Integrated Master’s in Information Systems and Computer Engineering from Instituto Superior Técnico (IST). His research interests center on Information Technology Governance (ITG) , Business Process Management (BPM) , IT Service Management (ITSM) , DevOps , and digital transformation , with practical applications in healthcare, telecommunications, and higher education. His work often involves developing tools and models for process optimization, risk management, and automation. The recent articles reflect a strong trend in applying digital technologies to real-world organizational challenges, particularly in DevOps automation , BPM in healthcare , RPA , and metaverse applications in B2B . His research combines technical development with strategic IT management, emphasizing maturity models, dashboards, and governance frameworks. Scientific journal editor, Information (Since 2023) Member of editorial team, Iberian Journal of Information Systems and Technologies (Since 2023) Member of scientific committee, World Conference on Information Systems and Technologies (Since 2016) Member of scientific committee, Iberian Conference on Information Systems and Technologies (Since 2016) Ruben has advised and led multiple research projects, often in collaboration with industry partners such as Siemens, EDP, REMAX, and HSM. He has coordinated numerous knowledge dissemination events and workshops on IT governance, GDPR, digital transformation, and AI. His academic management roles demonstrate leadership in curriculum development and program coordination. He has also contributed to projects on MOOC platforms, CRM systems, and decision-making dashboards for universities and hospitals. He is actively involved in developing tools for digital quality assurance, incident management, and hospital productivity measurement, reflecting a commitment to bridging academic research with practical industry needs.

• Business Intelligence Systems
• Management Support Systems
• Information Systems
• +۱۰ مورد دیگر

Dr. Chris Fidler is a Principal Lecturer at the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media, De Montfort University, United Kingdom. He is affiliated with the Centre for Computing and Social Responsibility and holds a DPhil in Computer Science from York University. He teaches at undergraduate and postgraduate levels and serves as Programme Leader for the MSc in Business Intelligence Systems & Data Mining. BSc (Hons) Computer Science, York University, Class I (1984) DPhil Computer Science, York University (1988) His research focuses on the intersection of information systems and societal impact, particularly in business intelligence, e-commerce, e-government, and ethical aspects of ICT. His expertise spans management support systems, strategic information systems planning, database systems, and the social implications of technology. He investigates how IT aligns with organizational strategy and affects people and institutions, especially in developing contexts such as Jordan and Saudi Arabia. His recent publications reflect a strong trend in ethical and societal dimensions of ICT, including ethics review processes in UK computing departments, e-government barriers in Jordan influenced by 'Wasta', and online shopping behavior in Saudi Arabia. The research employs qualitative methodologies like dialectical hermeneutics and longitudinal analysis, often grounded in real-world case studies and survey data. Member, BCS Board of Examiners (1990–present) Examiner, BCS Advanced Diploma in Management Information Systems (2000–present) Subject Examiner, Association of Business Executives – Relational Database Applications (2008–present) Independent Assessor, Institute of Management Information Systems (IMIS) (1993–present) Full Member, British Computer Society & Certified IT Professional (CITP) (1991–present) Dr. Fidler has successfully supervised PhD students in areas including e-government in Jordan, e-commerce security, and strategic information systems in Pakistan. He continues to supervise current students, including Ahmad Sanad and Faizal Alharbi. While no specific grants are mentioned, his sustained research output and professional engagement suggest ongoing scholarly activity. His work is closely tied to the Centre for Computing and Social Responsibility, indicating collaborative, interdisciplinary research focused on ethical and societal implications of computing.