جست‌وجوی استاد و پژوهشگر

Riccardo Marinمشاهده پروفایل

پژوهشگر

• Spectral Shape Analysis
• Geometric Deep Learning
• Virtual Humans
• +۳ مورد دیگر

Riccardo Marin is a Post-Doctoral Researcher at the University of Tuebingen, supported by the Humboldt Post-Doctoral Fellowship. He is part of the Real-Virtual Humans group led by Prof. Gerard Pons-Moll. Previously, he conducted post-doctoral research at Sapienza University of Rome in the GLADIA group under Prof. Emanuele Rodolà, contributing to the SPECGEO ERC project. He earned his Ph.D. in Computer Science from the University of Verona under Prof. Umberto Castellani, winning the Best PhD Thesis Award by EG-Italy. He holds a Master's degree in Computer Science and Engineering from the University of Verona (2017). His research focuses on Spectral Shape Analysis, Geometric Deep Learning, and Virtual Humans, with contributions to top-tier conferences and journals (NeurIPS, IJCV, CVPR). Key achievements include a Best Student Paper Award at 3DV 2020 and five Outstanding Reviewer Awards. He actively serves as a reviewer for leading journals and conferences (PAMI, TCVG, CVPR, NeurIPS) and has organized events like Siggraph RCD and 3DV 2018. Collaborations include institutions like École Polytechnique, Max-Planck Institute, INRIA Strasbourg, UCL, and the University of Milan. His work is supported by grants from Google and the European Research Council (ERC). His research bridges geometry processing with machine learning, emphasizing spectral methods and shape correspondence. Notable projects include MoMaS (real-time procedural texturing), FARM (3D human body registration), and contributions to latent space analysis for shape modeling. He maintains an active GitHub profile with repositories like NICP and InstantRecoveryFromSpectrum .

Anina Schenkerمشاهده پروفایل

مدرس

• Digital Archiving
• Art and Design Education
• Cultural Documentation
• +۳ مورد دیگر

Anina Schenker is a Lecturer in Art and Design at the Lucerne School of Design, Film and Art (HSLU-DFK) and the University of Zurich’s Institute of Art History. She holds a Fine Art diploma from the Zurich University of the Arts (ZHdK) and has been a leading figure in cultural digitization through her initiative kleio.com , a collaborative digital tool for artists and cultural institutions. Her career spans over 30 years as a stage designer, sculptor, and educator, with notable roles at ETH Zurich (2008–2015) and the founding of Beryll AG (2008). Education: Trained as a theater painter (1987–1992), followed by stage design studies. She earned a Fine Art diploma from ZHdK (2003) and pursued high-speed videography at MIT (2004–2005). Awards include the Swiss Art Award (2008 and 2006) and the Yvonne Lang Chardonnens Study Grant (2003). Research interests focus on transmedia exploration of phenomena, cultural documentation, and digital archiving. Her artistic practice intersects science and parapsychology, addressing 'absent presences' and invisible processes. She co-founded the kleioforum association to support cultural digitization and launched kleioscope , an interdisciplinary cultural research portal. Teaching: Taught courses in art for architecture students at ETH Zurich, digital archiving at HSLU and UZH, and supervised projects at XS Schmuck (Lucerne School of Design). Her artistic works have been exhibited internationally, including solo shows in Zurich, Basel, and Berlin. Professional roles include managing director of Beryll AG , board member of kleioforum , and contributor to publications like Kunstbulletin and meter magazin . Her work bridges art, technology, and cultural preservation, emphasizing collaborative platforms for artists and institutions.

• Criminal Procedure
• Wrongful Convictions
• Child Witnesses
• +۳ مورد دیگر

Dr Robyn Blewer is a Lecturer at Griffith Law School, Griffith University, and Director of the Griffith University Innocence Project since March 2020. She is a member of the Griffith Criminology Institute and contributes to Sustainable Development Goals 16 (Peace, Justice and Strong Institutions) and 5 (Gender Equality). Her educational background includes a Master of Criminology and Criminal Justice (2012) examining child victim support services, and a Doctor of Philosophy completed through the Australian Research Council's 'The Prosecution Project', analyzing Australia's child witness law across the twentieth century. Robyn's research centers on criminal trial procedure with specialized expertise in wrongful convictions, child witnesses, and historical development of Australian criminal justice. Her interdisciplinary work bridges law, criminology, psychology, and history, frequently addressing vulnerable witnesses and gender dynamics in legal contexts. She has published in leading journals and authored the book Bringing Little Kiddies into Court – Child Witnesses in Australian Courts 1880-2000 (Palgrave Macmillan, 2021). Analysis of her publication history reveals consistent focus on historical and contemporary criminal justice issues, with increasing emphasis on wrongful convictions of women, technological impacts on evidence (e.g., body-worn cameras), and intersectional approaches to gender and justice. Her work demonstrates strong methodological diversity spanning archival research, legal analysis, and empirical studies. Her key recognition includes: Shortlisted for Patricia Grimshaw Prize (2022) for significant contribution to Australian history Robyn serves as Associate Supervisor for doctoral research on penal regimes and no-body murder trials. She actively engages in funded research including the Prosecution Project repository ($50,000), Queensland Corrective Services Historical Research Project, and First Nations Justice Standards Project. Her consultancy includes Queensland Department of Justice editorial work and Caxton Legal Centre bail program evaluation with Professors Marchetti and Bond. She collaborates with the Harry Gentle Resource Centre on Queensland criminal justice history and contributes to Griffith Criminology Institute's research network, focusing on practical applications of historical legal analysis to contemporary justice reforms.

• information systems
• knowledge management
• open innovation
• +۷ مورد دیگر

Isabel Maria Pinto Ramos is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho , where she leads the ISTTOS R&D Lab and contributes to the Algoritmi Research Centre . She has held leadership roles including Head of Department of Information Systems and President of the Portuguese Association for Information Systems . Her career spans academic, research, and international collaboration roles, including a Visiting International Professor position at the University of Münster, Germany. Academic Leadership : Doctoral Programme Director (2014-2019), IFIP TC8 Chair (2019-2023), Vice President for Membership Services at Association for Information Systems (2022-2025) Research Themes : Innovation management, knowledge systems, digital transformation, crowdsourcing, organizational memory, gender in STEM, and technology's socio-cultural impacts International Engagement : Collaborations with Carnegie-Mellon, University of Agder, Georgia State, and Federal University of Santa Catarina through research projects and mobilities Scientific Recognition : IFIP Outstanding Service Award (2009) IFIP Silver Core Award (2013) IIAKM Lifetime Academic Achievement (2021) Editorial Contributions : Associate Editor for Communications of the AIS (since 2020), editorial board member for Enterprise Information Systems , International Journal of Knowledge Engineering , and Revista de Administração Mackenzie Project Involvement : ERASMUS+, Horizon 2020, FP7 programs with focus on digital workplaces, knowledge management, and organizational resilience Her scientific output demonstrates consistent exploration at the intersection of Information Systems and Organizational Innovation , with recent works focusing on Digital Transformation (2021-2025), Crowdsourcing Platforms (2009-2016), and Organizational Memory (2005-2014). The 2023-2025 publications particularly emphasize Smart City Resilience , Multigenerational Workforce Challenges , and AI Development Democratization .

Abid Hussainمشاهده پروفایل

دانشیار

• Information Systems
• Design Science
• Big Data Analytics
• +۲ مورد دیگر

Abid Hussain serves as Associate Professor at Copenhagen Business School's Department of Digitalization, specializing in the convergence of digital technologies and organizational practices with emphasis on data-driven solutions and privacy-centric systems development. His research portfolio spans: Design Science in Information Systems Big Social Data and Big Data Analytics Enterprise Software Development (web, database, desktop solutions) Privacy by Design frameworks and data protection tools He has engineered solutions for data collection, transformation, and analytics pipelines alongside enterprise system integrations involving API security, document sharing, and WSDL protocols. Publication trends (2018-2025) reveal consistent innovation in privacy-preserving technologies (blockchain-based access control), immersive educational tools (VR classrooms), and multilingual social analytics. His work demonstrates interdisciplinary impact across computational social science, business informatics, and public health through event management systems, climate psychology studies, and interorganizational data sharing frameworks.

Rajesh Kumarمشاهده پروفایل

استادیار

• Behavioral Biometrics
• Computer Security
• Human-Computer Interaction
• +۳ مورد دیگر

Rajesh Kumar is an Assistant Professor of Computer Science at Bucknell University, where he conducts research on behavioral biometrics and teaches foundational computer science courses. His work focuses on how data recorded by smart devices can be used to design systems that solve human-centered security problems through analyzing user interactions like typing, swiping, and walking patterns. Dr. Kumar earned his Ph.D. in Computer and Information Science and Engineering from Syracuse University in July 2021, following an M.S. in Mathematics from Louisiana Tech University (2014) and an M.S. in Computer Applications from Jawaharlal Nehru University, New Delhi (2009), where he ranked #1 in his class. His educational journey began with a B.S. in Computer Applications from Makhanlal Chaturvedi National University of Journalism and Communication in India (2005), also with top honors. His research examines the trustworthiness of biometric systems, emphasizing performance in real-world applications, security, and fairness. Kumar investigates whether behavioral biometric systems show demographic bias and whether they can withstand sophisticated attacks while securing private information. His recent work includes analyzing typing patterns to detect fake social media profiles and studying how wearable technology can monitor vital signs and track conditions like Parkinson's disease. Dr. Kumar's scholarly work spans behavioral biometrics, computer security, and human-computer interaction, with publications focusing on gait authentication, smartphone user authentication, keystroke dynamics, and algorithm evaluation. His GitHub repositories demonstrate active research in dictionary attacks on IMU-based gait authentication, sensor data collection, and string matching algorithms. Ph.D. in Computer and Information Science and Engineering, Syracuse University (2021) M.S. in Mathematics, Louisiana Tech University (2014) M.S. in Computer Applications, Jawaharlal Nehru University (2009) B.S. in Computer Applications, Makhanlal Chaturvedi University (2005) As an educator, Kumar teaches Introduction to Computer Science, Data Structures, and Computer Architecture, with interests in developing courses in applied data science, computer security, and biometrics. He believes in creating collaborative learning environments that accommodate students from diverse backgrounds and experiences, drawing from his own journey from a village in India with limited resources. His teaching philosophy centers on Dr. Ambedkar's belief that 'cultivation of mind should be the ultimate aim of human existence.'

• Information Governance
• Information Security
• Privacy
• +۹ مورد دیگر

Dr David Haynes is a Lecturer at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. He is affiliated with the Centre for Social Informatics and contributes to research themes in AI and Technologies. His work focuses on information governance, ethics, regulatory systems, and knowledge organization. PhD in Regulation of Access to Personal Data on Online Social Network Services in the UK (2015) Professional memberships: Secretary of ISKO Board, Chair of ISKO UK, Fellow of CILIP (FCLIP), Member of BCS (MBCS), Fellow of the Higher Education Academy (FHEA) Dr Haynes’s research centers on the ethical and regulatory dimensions of information systems. He investigates how metadata can both enable access and pose risks, including privacy violations and surveillance. His work extends to digital literacy, online safety, and cyber resilience, particularly in public sector contexts. He explores the governance of emerging technologies like the metaverse and the role of knowledge organization in managing information risk. His research often bridges theoretical insights with practical policy implications. His recent publications reflect a strong trend in information security, ethical metadata, digital forensics, and knowledge organization. Topics include cyber resilience frameworks in the Scottish public sector, NLP-based development of digital forensics terminology, and the ethical consequences of metadata usage. His work combines qualitative analysis with interdisciplinary approaches, often engaging with policy documents and professional practices. Dr Haynes is actively involved in research supervision and collaborative projects. He serves as Director of Studies or supervisor for multiple PhD candidates across diverse topics such as work-based learning, ethical metadata, federated machine unlearning, and embodied carbon emissions. He has contributed to editorial activities for the Aslib Journal of Information Management and organized events like the ISKO 2022 Conference. ISKO 2022 Conference Programme Committee Editorial Board, Aslib Journal of Information Management Secretary, ISKO Board Chair, ISKO UK Dr Haynes leads and contributes to funded research projects, including an ESRC-funded PhD studentship on work-based learning and firm performance (2021–2025) and a Leverhulme Trust-funded project on digital forensics terminology. His research outputs include books, journal articles, conference papers, and reports, with his second edition of Metadata for Information Management and Retrieval published in 2018. He is part of multidisciplinary research teams, often collaborating with colleagues in computing, social informatics, and sustainability.

Mark Grechanikمشاهده پروفایل

دانشیار

• Software Systems
• Software Testing
• Cloud Computing
• +۴ مورد دیگر

Mark Grechanik is an Associate Professor in the Department of Computer Science at the University of Illinois Chicago, affiliated with the College of Engineering. With a Ph.D. in Computer Science from the University of Texas at Austin (2006), he has over 30 years of experience as a software consultant for startups and Fortune 500 companies. His research focuses on software systems, security, and quality assurance, with a strong emphasis on automated testing, cloud computing, and data privacy. Ph.D., The University of Texas at Austin, 2006 His work addresses critical challenges in software testing, including integration testing automation (ASSIST project), database deadlock prevention, GUI test script analysis, and cloud elasticity optimization. He has developed techniques leveraging static/dynamic analysis, machine learning, and accessibility technologies to improve test efficiency and fault detection. Grechanik’s research has been recognized with best paper awards at SEKE 2019 and ICST 2009. He has secured funding from the NSF and Microsoft, and his innovations are commercialized through 37 patents. His publications span top venues like ICSE, ICST, ASE, and journals such as Empirical Software Engineering and IEEE Transactions on Software Engineering. He has served as General Chair of ICST 2016, member-at-large of the ACM SigSoft committee for nine years, and on editorial boards including Springer’s Empirical Software Engineering Journal. Grechanik is a senior member of ACM and IEEE.

James M. Donovanمشاهده پروفایل

استاد

• Legal Anthropology
• Law and Sexuality
• Librarianship
• +۳ مورد دیگر

James M. Donovan serves as Library Director at the University of Kentucky's Rosenberg College of Law and holds the Dorothy Salmon Professor of Law title. He has been Director since 2010 and previously worked at University of Georgia and Tulane University law libraries. His academic background includes a J.D., Ph.D. in Anthropology, and M.L.S. Donovan's research focuses on libraries (open access, institutional repositories), law and sexuality (same-sex marriage, religious exemptions), and legal anthropology (cultural universals, fairness models). He authored Legal Anthropology: An Introduction and co-edited Sexual Orientation and the Law . Recent work addresses AI ethics in libraries and Afghan legal pluralism. Notable awards include AALL's Call for Papers and Spectrum Article awards. His teaching includes advanced legal research and legal anthropology at UGA's Anthropology Department. Current projects explore law library futures and cross-cultural human rights frameworks. Adjunct Anthropology appointments: University of Georgia Over 80 publications spanning law reviews, anthropology journals, and library science Keynote speaker on library innovation and LGBTQ+ legal history

• Distributed Systems
• Cloud Computing
• Blockchain Technology
• +۵ مورد دیگر

Roussopoulos Mema is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Their research focuses on distributed systems, blockchain technology, peer-to-peer networks, and data preservation. They have contributed to advancements in decentralized storage systems, privacy-preserving voting mechanisms, and efficient resource management in cloud environments. Education and employment details are not explicitly listed in the provided text, but their extensive publication record indicates a long-standing academic and research career. Key research interests include distributed consensus algorithms, secure peer-to-peer architectures, and the integration of blockchain with traditional systems. Recent publications highlight work on interactive consistency in distributed systems (2021), decentralized social connectivity services (2020), and privacy-preserving internet voting systems (2019). Their research spans both theoretical frameworks and practical implementations, addressing challenges in scalability, security, and reliability. No scientific awards are explicitly mentioned in the text. Advising and grants details are not provided, but their extensive list of articles indicates active collaboration and funding in their field. They are affiliated with the Computer Systems and Applications division at the university, reflecting their focus on applied computer science and networking.

• Biomedical Informatics
• Healthcare Data Management
• Clinical and Translational Research
• +۳ مورد دیگر

Andrew R. Post, MD, PhD, is a Clinical Associate Professor in the Department of Biomedical Informatics at the University of Utah School of Medicine and Director of Research Informatics at Huntsman Cancer Institute (HCI). He specializes in healthcare data management, software engineering, and data warehousing for translational research. His work focuses on simplifying access to electronic health record (EHR) data for cancer and disease studies, and he leads HCI's Research Informatics Shared Resource, which supports data management systems across genetic testing to population-level data. Previously, he held leadership roles at Emory University, including informatics director for the Georgia CTSA and All of Us Research Program. Education: MD - University of Pennsylvania School of Medicine PhD - University of Pittsburgh MS - University of Pittsburgh Bachelor of Arts - University of Pennsylvania His research emphasizes self-service EHR data access for population studies and systems architectures for clinical research. Over 15 years, he has developed software solutions to streamline data use in oncology and other disciplines. Publications highlight innovations in data warehousing, EHR integration, and temporal abstraction methods. His work bridges technical informatics with clinical practice, addressing challenges in data interoperability and scalability. Projects include optimizing data loading processes for i2b2 platforms and designing privacy-preserving data release systems.

Michael McGuireمشاهده پروفایل

استادیار

• Computer Science
• Data Mining
• Environmental Informatics
• +۳ مورد دیگر

Michael McGuire is an Assistant Professor in the Department of Computer and Information Sciences at Towson University's College of Science and Mathematics. He holds a Ph.D. in Information Systems from the University of Maryland, Baltimore County (2010), with supporting degrees in Information Systems (MS, 2005) and Geography & Environmental Planning (BS, 1996). Education: Ph.D. & MS in Information Systems (UMBC), BS in Geography (Towson) Department: Computer and Information Sciences School: College of Science and Mathematics Email: mmcguire@towson.edu His research focuses on spatio-temporal data mining , sensor database systems , and environmental informatics applications. Current work examines deep learning approaches for climate prediction , including convolutional neural networks for tornado day forecasting and transformer models in hurricane intensity analysis. Earlier publications explore information visualization through eye-tracking studies and multi-criteria decision systems for route planning. Recent publications highlight machine learning applications in environmental contexts, with 2024 studies on knowledge graphs and 2023 work on federated learning . The 2022 tornado prediction papers demonstrate CNN capabilities in meteorological modeling, while 2021 eye-tracking research shows feature engineering approaches for visual processing tasks. Dr. McGuire's technical expertise spans distributed database systems , cloud computing architectures , and human-computer interaction through eye gaze analysis. His 2018-2020 publications compare SQL/NoSQL storage for climate data and develop safe route planning algorithms using Fuzzy TOPSIS and other decision frameworks.

Kevin Leachمشاهده پروفایل

استادیار

• Cybersecurity
• Software Engineering
• Dependable Systems
• +۳ مورد دیگر

Kevin Leach is an Assistant Professor of Computer Science at Vanderbilt University's School of Engineering. His research focuses on designing dependable cybersecurity systems and software engineering practices that withstand sophisticated adversarial attacks. He holds a PhD from the University of Virginia (2016), where he received the Louis T Rader Outstanding Research Award. Prior to Vanderbilt, he was a research scientist and lecturer at the University of Michigan. Education: Ph.D. in Computer Engineering, University of Virginia MS in Computer Science, George Mason University BS with Distinction in Computer Engineering and Computer Science, University of Virginia His research investigates two core areas: leveraging hardware capabilities like Trusted Execution Environments for low-overhead security instrumentation, and understanding how developers and operators make decisions in adversarial environments. He has published over 30 refereed articles, 3 of which have received awards. Recent work includes studies on cognitive biases in cybersecurity competitions, AI-driven code assessment, and malware detection techniques. Awards: Louis T Rader Outstanding Research Award (2016) 3 award-winning papers (specific awards unspecified) His research bridges technical security mechanisms with human decision-making processes, emphasizing both system dependability and developer/operator awareness. Current projects include work on federated learning defenses, runtime security optimization for embedded systems, and ethical considerations in crowdsourced data labeling.

Frank M. Shipmanمشاهده پروفایل

استاد

• Intelligent user interfaces
• Hypertext
• Computers and education
• +۵ مورد دیگر

Frank M. Shipman is a Professor in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. in Computer Science from the University of Colorado (1993), an M.S. from the same university (1990), and a B.S. in Electrical Engineering from Rice University (1988). His research focuses on intelligent user interfaces, hypertext systems, multimedia technologies, and computer-supported cooperative work. He has received notable awards including the ACM Distinguished Scientist designation (2009), TEES Center Fellow (2014), and a National Science Foundation CAREER Award (1998–2002). His work spans topics like social media archiving, sign language video analysis, and collaborative systems design. His publications highlight contributions to digital accessibility, crowdsourcing methodologies, and hypervideo systems. He is affiliated with the Texas A&M Department of Computer Science & Engineering and maintains an active Google Scholar profile.

• Blockchain Technology
• Data Analytics
• Cybersecurity
• +۷ مورد دیگر

Salvador Sánchez Alonso is a Professor at the Department of Computer Languages and Systems, Universidad de Alcalá. He holds a PhD from Universidad Politécnica de Madrid (2005) under Dr. Miguel Ángel Sicilia Urbán. His research focuses on blockchain technology, cybersecurity, linked data, healthcare informatics, and educational technology. He actively contributes to the I4 research group (Intelligence, Innovation, Internet, and Information), exploring topics like privacy-preserving systems, social network analysis, and open data principles. His work bridges theoretical advancements with practical applications, such as predictive modeling for healthcare innovation, quality assessment of educational resources, and decentralized identity systems. Recent publications highlight innovations in quantum software measurement, KlimaDAO analysis, and ethical AI traceability. He has also explored the impact of political events on social networks and hospital resource management through predictive analytics. Key contributions include frameworks for metadata quality in digital repositories, interlinking educational data with the Web of Data, and applying blockchain for secure metadata deployment. His research often intersects interdisciplinary domains, emphasizing social data visualization and user-centric repository design.