جست‌وجوی استاد و پژوهشگر

Pierluigi Perriمشاهده پروفایل

استاد

• Privacy and Data Protection
• Data Governance
• Information Security
• +۴ مورد دیگر

Pierluigi Perri is a Professor of Advanced Computer Law at the University of Milan's Law School and Vice Coordinator of the Information Society Law Center (ISLC). He is also an Affiliate Fellow at Yale Law School and has held roles such as Non-residential Fellow at Stanford Law School’s Center for Internet and Society and Visiting Researcher at Microsoft. His expertise spans privacy law, data governance, cybersecurity, computer crimes, and digital forensics. Perri holds a PhD in Legal Informatics and IT Law from the University of Bologna and a specialization in Legal Informatics and New Technologies Law. Education: PhD in Legal Informatics and IT Law, University of Bologna Specialization in Legal Informatics and New Technologies Law His research focuses on balancing technological advancements with legal safeguards, including data protection compliance, AI ethics, and cybersecurity legislation. Recent work addresses AI-driven hate speech detection, algorithmic transparency, and the ethical use of open-source intelligence (OSINT). Perri has authored two books on data protection and IT law, alongside numerous scientific publications. Perri’s articles analyze legal frameworks for digital crimes, surveillance ethics, and privacy challenges in emerging technologies. His affiliations include leadership roles in interdisciplinary legal-tech initiatives aimed at addressing global cybersecurity and privacy dilemmas. No scientific awards or grants are explicitly mentioned. He is affiliated with the ISLC, fostering collaboration between legal, technical, and policy experts to tackle digital society challenges.

Marinko Sarunicمشاهده پروفایل

استاد مدعو

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +۲ مورد دیگر

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Wireless Communications
• MIMO Systems
• Neuromorphic Computing
• +۴ مورد دیگر

Dr. Juan Carlos De Luna Ducoing is a Research Fellow at the University of Surrey, specializing in advanced wireless communication systems with a focus on MIMO (Multiple-Input Multiple-Output) technologies. His work integrates neuromorphic computing, quantum annealing, and non-linear processing to enhance the efficiency and scalability of next-generation wireless networks. Research Interests: MU-MIMO detection and precoding Neuromorphic computing applications Quantum computing in wireless systems 6G network architectures Non-linear signal processing Hardware-software co-design (e.g., SWORD platform) Key Publications: His recent work includes NeuroMIMO (2024), which explores neuromorphic principles for power-efficient MU-MIMO detection, and Scalable MU-MIMO User Scheduling (2023), addressing resource allocation in dense networks. He also contributed to quantum annealing-based detection (2022) and Gyre Precoding (2021), achieving significant SNR gains. Collaborations: Works closely with Konstantinos Nikitopoulos and the SWORD research team to develop open-source platforms for rapid prototyping of advanced communication systems.

Marjan Firouzniaمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Marjan Firouznia is a Principal Research Engineer at Linköping University , affiliated with the Division of Diagnostics and Specialist Medicine (DISP) under the Faculty of Medicine and Health Sciences . With a PhD in Electrical Engineering from Amirkabir University of Technology and postdoctoral experience at institutions like Case Western Reserve University, she specializes in advancing machine learning models for precise segmentation of cardiac structures including the left atrium , epicardial fat , and fibrosis using CT and MRI scans. Her work aims to improve diagnostic accuracy and treatment planning in cardiovascular care. Marjan's research focuses on medical imaging , deep learning , and computational anatomy , with recent publications on FractalRG , FK-means , and Poincare-guided UNet for cardiac structure segmentation. Her academic contributions span 15 recent publications , emphasizing fractal geometry , chaos theory , and optimization algorithms in biomedical applications. She actively develops open-source datasets and tools, such as the FK-means codebase , to support reproducibility in medical AI research.

Benjamin C. M. Fungمشاهده پروفایل

استاد

• Data Mining
• Artificial Intelligence
• Cybersecurity
• +۶ مورد دیگر

Benjamin C. M. Fung is a Full Professor at McGill University's School of Information Studies and holds the Canada Research Chair in Data Mining for Cybersecurity. He is also an Associate Member at the School of Computer Science and affiliated with MILA and the McGill Digital Humanities Initiatives. His research focuses on data mining, AI, cybersecurity, privacy protection, and their applications in crime investigation, health informatics, and smart cities. Education: Ph.D. in Computing Science, Simon Fraser University (2007) M.Sc. and B.Sc. in Computing Science, Simon Fraser University Professional Engineer (P.Eng.) in Software Engineering, Ontario Research Interests: Data mining techniques for cybersecurity, AI ethics, privacy-preserving technologies, malware analysis, and foreign interference detection. His work has been supported by NSERC, SSHRC, DRDC, and FRQNT. Key Contributions: Developed the Kam1n0 tool for malware analysis, featured in Montreal's technological innovations. Co-founded the McGill Data Mining and Security (DMaS) Lab. Authored over 180 refereed publications with an h-index of 62. Awards & Recognition: 2022 IEEE CSR Best Research Paper Award ACM & IEEE Senior Member (2013) Top 2% Global Scientists (2021–present) Media & Public Engagement: Frequently comments on cybersecurity, disinformation, and foreign interference for CBC, CBC Radio, OMNI TV, and international outlets. His op-eds address topics like AI ethics and national security.

Hedayat Zarkoobمشاهده پروفایل

پژوهشگر

• AI in Education
• Educational Technology
• Machine Learning Applications
• +۳ مورد دیگر

Hedayat Zarkoob is a Researcher in the Department of Computer Science at the University of British Columbia (UBC), where he completed his PhD under Prof. Kevin Leyton-Brown. His work focuses on AI applications in education, particularly in peer grading systems, active learning, and large-scale classroom engagement. He is actively involved in teaching within UBC's Master of Data Science (MDS) program and the Computer Science department, leading courses on privacy, algorithms, communication, and societal impacts of technology. Education: PhD in Computer Science, UBC (supervised by Kevin Leyton-Brown) MSc in Computer Science, Simon Fraser University (supervised by Andrei Bulatov) Research Interests: Zarkoob's research bridges AI and education, with emphasis on scalable assessment tools (e.g., Mechanical TA 2), classroom engagement platforms (Agora), and AI-driven conference review systems. His work combines algorithm design, educational technology, and human-AI collaboration. Recent Projects: Agora, an open-source tool for student participation in large courses; Mechanical TA 2, a peer-grading system with algorithmic support; and AAAI 2021 workflow innovations. Teaching Roles: Upcoming courses include DSCI 541, 553, 542, 512, and CPSC 430. He has co-taught CPSC 430 (Computers and Society) since 2023.

• AI & Innovation
• Digital Transformation
• Fintech
• +۵ مورد دیگر

David Shrier is a Professor at Imperial College Business School, specializing in AI & Innovation. He co-directs the Trusted AI Alliance and serves as interim Academic Director of the Centre for Digital Transformation. His work bridges academia and industry, focusing on digital transformation, fintech, and ethical AI. He holds visiting roles at MIT School of Engineering and has pioneered educational innovations, including creating highly successful online courses that generated over $1 billion in academic revenue. Founder of Trusted AI Alliance and co-developer of the Trust::Data Initiative. Interim Academic Director, Imperial's Centre for Digital Transformation. Visiting Scholar at MIT School of Engineering, collaborating on commercialization models. His research interests include AI governance, fintech innovation, cybersecurity, and data privacy. He has advised governments and organizations globally, including the European Parliament and Commonwealth Secretariat. His books, such as Global Fintech (2022) and Basic AI (2024), explore technology's societal impact. He chairs startups like Orbu.AI and serves on NASDAQ-listed GRIID's board. Recipient of the 2022 Choice Award for Global Fintech . Launched initiatives such as the Oxford Cyber Security for Business Leaders program and the UN Data Academy.

• Biomedical Data Computing
• Medical Image Processing
• Image Registration
• +۴ مورد دیگر

Associate Professor Xiu Wang is affiliated with the School of Computer Science at The University of Sydney, where she serves as Associate Director of the Multimedia Lab and a member of the Biomedical & Multimedia Information Technology (BMIT) Research Group. Her research focuses on panoramic data analysis, biomedical computing, image processing, and medical data fusion. Key projects include tumor treatment outcome prediction using deep learning, collaborative learning of multimodal medical imaging, and deformable image registration techniques. She teaches courses such as COMP5214 (Software Development in Java) and supervises graduate students in AI-driven medical diagnostics and imaging. Notable collaborations involve Dr. Hui Cui and Mr. Chaojie Zheng. Her work bridges computer science and healthcare, emphasizing AI applications in oncology, radiology, and neuroimaging. Recent articles highlight advancements in MRI segmentation, PET/CT radiomics, and graph neural networks for disease diagnosis. She actively contributes to interdisciplinary research, integrating computational methods with clinical data for precision medicine.

Matthias Meckelمشاهده پروفایل

مدرس ارشد

• e-Business Strategies
• Small and Medium Enterprises (SMEs)
• Online Consumer Behavior
• +۳ مورد دیگر

Dr. Matthias Meckel is a Senior Lecturer in the School of Business, Social & Decision Sciences at Constructor University. Previously, he held academic positions at the University of Central Lancashire, including Principal Lecturer (2020-2023), Senior Lecturer (2007-2020), and Lecturer (2004-2007). His research focuses on e-business strategies for SMEs, organizational technology adoption barriers, and survey methodology. He holds a PhD in e-business strategies for SMEs from the University of Central Lancashire, alongside an MSc in Business Administration with IT (Distinction) and a Diplom-Informatiker (FH) degree. His research interests include digital transformation frameworks for SMEs, healthcare information systems, and cross-channel survey techniques. Notable work includes developing a hospital resource management system using real-time data and analyzing organizational barriers in e-Banking adoption. His publications span journals like Strategic Change and conferences such as the International Conference on Systems and Informatics. Teaching expertise spans business management, information systems, and technology strategy. He has advised numerous projects on SME digitalization and contributed to academic events globally. Currently based at Constructor University's Bremen campus, he continues advancing knowledge in business innovation and technology adoption.

Petra Sauerمشاهده پروفایل

استاد

• Database Systems
• Geodatabases
• Semantic Web Technologies
• +۵ مورد دیگر

Prof. Petra Sauer is a Professor of Computer Science and currently serves as Dean of the Department of Computer Science and Media at BHT Berlin. She leads research in database systems, geospatial technologies, and educational data analytics. Her work bridges academic research with practical applications in facility management, urban logistics, and e-learning platforms. Key projects include DiSEA (education analytics), ExCELL (mobility data integration), and BIM-FM (building lifecycle management). Research interests focus on: Database design & schema evolution Semantic web applications Geodatabase implementations Learning analytics in MOODLE environments Notable awards include the Tiburtius Prize (Gold 2008 for Marc-Florian Wendland's thesis, Bronze 2009 for Marco Blankenburg's thesis). Active supervision spans over 15 advisees across data science, database security, and semantic integration topics. Current courses include 'Database Systems' for Media Informatics students. Key projects: DiSEA: Moodle-based learning analytics framework ExCELL: Real-time traffic forecasting platform mVIZ: Open data visualization guidelines BIM-FM: Semantic integration of building models

William Marcellinoمشاهده پروفایل

استاد

• Artificial Intelligence
• National Security
• Social Media Analysis
• +۵ مورد دیگر

William Marcellino is a Senior Behavioral and Social Scientist at the RAND Corporation and a Professor of Text Analytics at the RAND School of Public Policy. He also serves as a lecturer at Carnegie Mellon University, where he earned his Ph.D. in rhetoric. His academic and research roles focus on AI applications, such as developing RAND-Lex, a proprietary text analytics tool, and teaching NLP and qualitative methods. Marcellino’s research expertise spans information operations, national security, social media analysis, and military technology. He previously served as a U.S. Marine tank officer and enlisted rifleman, informing his work on military resilience and defense-related AI acquisition. His recent work addresses AI’s role in disinformation, China’s AI exports, and ethical frameworks for influence operations. Education: Ph.D. in Rhetoric, Carnegie Mellon University Key Projects: RAND-Lex development, China AI Export Database, command narrative frameworks Notable Contributions: Analysis of social media’s role in conflict (e.g., Israel-Hamas, Ukraine-Russia), counter-radicalization strategies, and AI ethics.

Maria Lilla' Montagnaniمشاهده پروفایل

استاد

• Intellectual Property Law
• Competition Law
• Digital Copyright
• +۲ مورد دیگر

Maria Lilla' Montagnani is a Full Professor of Commercial Law at Bocconi University and Director of the LL.M in European Business and Social Law (EBSL). She holds a Law Degree from Università Cattolica del Sacro Cuore (Milan), an LL.M from Queen’s University of London, and a PhD in Competition Law from Università degli Studi di Perugia. Her research focuses on AI governance, intellectual property law, digital copyright, competition law, and public art law. Educational Background: Law Degree: Università Cattolica del Sacro Cuore (Milan) LL.M: Queen’s University of London PhD in Competition Law: Università degli Studi di Perugia Her research interests emphasize the intersection of technology, law, and commerce. Notable areas include regulatory frameworks for AI, digital copyright challenges in the music and art sectors, and antitrust implications of IP misuse. Recent publications explore open patenting models, legal protection for art exhibitions, and the role of internet intermediaries in fostering creativity. No scientific awards have been explicitly mentioned in the provided texts. She teaches advanced courses such as "European and International Advanced IP Law," "Cyber Risk and Data Protection Law," and "Artificial Intelligence and the Law." No advising/grants information or lab affiliations were found in the text.

Xiaoning Duمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Artificial Intelligence
• Cybersecurity
• +۳ مورد دیگر

Xiaoning Du is a Senior Lecturer (equivalent to Associate Professor) in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. She holds a PhD from Nanyang Technological University (2020) and a Bachelor's from Fudan University (2014). Her research focuses on software security and quality assurance for traditional and AI-based systems, with notable contributions to DevOps for AI, vulnerability detection, and runtime verification. Education: PhD in Computer Science, Nanyang Technological University (2015–2020) Bachelor of Software Engineering, Fudan University (2010–2014) Research Interests: Security of intelligent software systems, AI-driven software testing, DevOps for AI, and trustworthy AI services . Her work emphasizes practical applications like Devign (vulnerability detection), DeepStellar (deep learning system analysis), and BigCodeBench (code generation benchmarking). Recent Projects: Collaborations include CSIRO cybersecurity initiatives, Algorand Center of Excellence, and IBM-funded research. She leads projects addressing AI ethics, federated learning security, and code completion robustness. Awards: 2024 Google Research Scholar Award, 2024 FIT Dean’s Early Career Award, and multiple distinguished paper awards at top venues like ACM SIGSOFT and ICLR. Labs/Teams: Active in Monash’s cybersecurity and AI research groups, contributing to open-source tools like DeepStellar and BigCodeBench . She advises PhD students and mentors on scholarships.

• Digital Innovation
• Crowdsourcing
• Data-Driven Decision-Making
• +۳ مورد دیگر

Michael Zaggl is a Full Professor at NEOMA Business School, specializing in Strategy & Entrepreneurship. He holds a Habilitation from TU Munich, a PhD from TU Hamburg, and degrees from the University of Koblenz. Previously, he served in tenured roles at Aarhus University and held visiting positions at Harvard, USC, and other institutions. His research focuses on digital innovation, crowdsourcing, and data-driven decision-making, with publications in top journals like Strategic Management Journal and Academy of Management Discoveries . He is an active member of professional organizations such as the Academy of Management and Association for Information Systems. Educations: Habilitation (TU Munich), PhD (TU Hamburg), Master's & Bachelor's (University of Koblenz). His research interests span digital innovation , crowdsourcing mechanisms , and open-source governance , with notable contributions to understanding distributed strategic search and organizational decision-making. Recent work examines crowdfunding dynamics , AI-human collaboration , and privacy calculus in mHealth . His articles analyze topics like crowd wisdom optimization and hierarchical biases in idea evaluation , reflecting a focus on practical applications for organizations. He has presented at leading conferences, including the Academy of Management and Hawaii International Conference on System Sciences.

Mathias Czaikaمشاهده پروفایل

استاد

• International Migration
• Globalization
• Migration Policy
• +۴ مورد دیگر

Mathias Czaika is a University Professor in Migration and Integration and Head of the Department for Migration and Globalisation at the University for Continuing Education Krems, Austria. He coordinates the PhD Programme in Migration Studies and has previously directed the International Migration Institute at Oxford University. His research focuses on international migration drivers, policy impacts, globalization, and development implications. Education: Master’s in Economics from the University of Konstanz, PhD in Political Economy from the University of Freiburg. He has advised national and international bodies like the EU, DfID, and the Swedish Migration Agency. Research interests include migration policy formulation, asylum systems, skilled migration, and involuntary immobility’s development impacts. Key projects include 'Valuing Open Source Intelligence' (ÖAW-funded) and 'Development implications of involuntary immobility in Africa' (FWF-funded). He leads initiatives on migration scenarios, diaspora engagement, and integration policies. Grants and funding include EU Horizon 2020, FWF, and national grants. Notable publications address migration governance, diaspora organizations, and climate change effects on mobility. His work bridges academic research with policy through dialogues between science, politics, and practice.