جستجوی استاد راهنمای دانشگاهی

Jonathan Albrightمشاهده پروفایل

مدرس ارشد

• Social Media Analysis
• Journalism Studies
• Data Journalism
• +۳ مورد دیگر

Jonathan Albright is a Senior Lecturer and Principal Fellow at the University of Western Australia's School of Social Sciences, Media and Communication Department. He leads research in the Frontier Technologies and Society Research Lab, focusing on digital propaganda, social media influence, and online hate speech. His work bridges journalism studies, data analytics, and political communication. Research Interests: Social media's role in shaping public discourse Digital disinformation campaigns Algorithmic bias in health and political information Platform journalism ethics Recent work highlights include analyzing Islamophobic actors on Twitter (2022), studying abortion-related web ecosystems (2020), and examining Facebook's role in election interference (2018). His research frequently intersects with global tech policy and civic engagement challenges. Lab affiliations emphasize applied research on emerging technologies' societal impacts. Albright's work has been cited widely in policy discussions around misinformation and digital ethics.

Abdul-Rahman Mawlood-Yunisمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Android Mobile Application Development
• Software Engineering
• +۸ مورد دیگر

Abdul-Rahman Mawlood-Yunis is an Associate Professor in the Department of Physics and Computer Science at Wilfrid Laurier University. His research focuses on Artificial Intelligence, Android Mobile Application Development, Software Engineering, Distributed Systems, and P2P Networking with an emphasis on fault-tolerant systems and semantic web technologies. He has contributed to frameworks for live streaming apps and machine learning algorithms for feature selection. Research interests include: Chatbots and Natural Language Processing (NLP) Ontology engineering and knowledge representation Algorithm design for distributed systems Mobile agent performance analysis Fault-tolerant semantic P2P networks His recent work (2022-2024) emphasizes machine learning applications in feature selection and real estate price estimation, reflecting a shift towards data-driven solutions. Earlier contributions (2003-2013) explored foundational aspects of mobile agents and semantic interoperability in P2P networks. Teaching responsibilities include courses on Android development and Java programming, with associated open-source materials and courseware. His book Android for Java Programmers provides foundational resources for students and instructors. Languages spoken: English, Kurdish, Arabic, Farsi.

Timothy Drysdaleمشاهده پروفایل

استاد

• Remote Laboratories
• Engineering Education
• Electromagnetics
• +۲ مورد دیگر

Timothy Drysdale is Professor and Chair in Technology Enhanced Science Education at the University of Edinburgh, where he directs the Remote Laboratories group and serves as Director of Strategic Digital Education. His practable.io platform revolutionizes laboratory education through aesthetically-designed remote experiments installed in campus foyers, saving physical space while enhancing accessibility. Research develops novel remote labs based on experiments likened to "science museum exhibits," integrating real-time equipment access via web interfaces. Additional work explores orbital angular momentum in radio communications. His £3M openEngineering Laboratory project received multiple honors including the Queen's Anniversary Prize and THE Digital Innovation Award. Global Online Laboratories Consortium Award (2024, 2018) Queen's Anniversary Prize (2024) Jisc Digital Transformation Award (2023) Guardian Teaching Excellence Award (2018) Teaches across undergraduate engineering programs and supervises doctoral projects in digital education innovation. Advocates for assessment transformation and generative AI integration in education.

• Artificial Intelligence
• Image Processing
• Medical Imaging
• +۳ مورد دیگر

Dr Ahmed Fetit is a Senior Lecturer and Senior Teaching Fellow at Imperial College London's Department of Computing (Faculty of Engineering), specializing in AI for Healthcare through the UKRI Centre for Doctoral Training. His research focuses on applying machine/deep learning to medical imaging, particularly in collaboration with NHS Trusts. He holds a PhD from the University of Warwick (2015) and degrees from the University of Birmingham (MSc, BEng). He is a Fellow of the Higher Education Academy (FHEA). Education: PhD: University of Warwick (2015), applications of machine learning to tumor diagnosis/prognosis via MRI MSc: University of Birmingham BEng (Hons): University of Birmingham Research Interests: Ahmed's work bridges AI and healthcare, emphasizing medical imaging applications such as MRI segmentation, adversarial robustness, fetal brain connectivity analysis, and retinal biomarker discovery. His projects often involve NHS collaborations to translate AI innovations into clinical practice. Recent Article Trends: Recent publications highlight advancements in CNN robustness (e.g., k-space artifact simulation), fetal/neonatal brain segmentation, and XAI explanations in healthcare imaging. His work also explores cross-modal MRI inference and cardiovascular risk stratification using retinal features. Awards: Fellow of the Higher Education Academy (FHEA) Advising & Grants: While specific grant details are not listed, his NHS collaborations imply involvement in funded healthcare AI projects. No advisees are explicitly mentioned. Labs/Teams: Active in the UKRI CDT in AI for Healthcare and the Department of Computing's Neuroimaging research groups.

Uwe Roehmمشاهده پروفایل

دانشیار

• Distributed Data Management on Modern Hardware
• Integrated Machine Learning with Databases
• Interactive Big Data Analytics
• +۵ مورد دیگر

Associate Professor Uwe Roehm is a faculty member at the University of Sydney's School of Computer Science, specializing in database systems and big data analytics. He holds a PhD from ETH Zurich and joined the University of Sydney in 2004. His research focuses on distributed data management, integrating machine learning with databases, and scalable data processing for bioinformatics. Education: PhD in Computer Science, ETH Zurich (2002) Diplom-Informatics (MSc equivalent), University of Passau Research Interests: Database Systems and Transaction Processing Human-Centred Data Management Freshness-Aware Scheduling (FAS) Big Data Analytics and Cloud Computing Key Projects and Contributions: Developed Serialisable Snapshot Isolation (SSI), implemented in PostgreSQL Created the Master of Data Science program at the University of Sydney Recipient of the 2018 ACM SIGMOD Test of Time Award Awards: 2018 ACM SIGMOD Test of Time Award 2013 Dean's Award for Outstanding Teaching 2008 ACM SIGMOD Best Paper Award Teaching and Grants: Teaches courses on database systems, data science platforms, and cloud computing Principal Investigator on ARC-funded projects, including Linkage and Discovery grants Labs and Teams: Leads the Database Research Group and contributes to the Human-Centred Technology Research Cluster at the University of Sydney.

• Geospatial Technologies
• Public Health
• Natural Hazard Analysis
• +۷ مورد دیگر

Dr. Md Shahinoor Rahman is an Assistant Professor of Environmental Health, Climate, and Sustainability at the School of Public Health, LSU Health Sciences Center New Orleans. He specializes in geospatial technologies, remote sensing, and GIS applications for public health, natural hazards, urban studies, and agriculture. His work bridges academia and industry, with projects funded by NASA, NSF, USAID, and NIH. Education: Ph.D. in Earth Systems and Geoinformation Sciences, George Mason University (2019) Master's in Regional Development Planning and Management, TU Dortmund & Universidad Austral de Chile (2011) Bachelor's in Urban and Regional Planning, Bangladesh University of Engineering and Technology (2007) Research Interests: Dr. Rahman focuses on geospatial technologies for environmental justice, disaster risk reduction, climate-smart agriculture, and urban heat island analysis. He applies remote sensing and GIS to assess flood impacts, landslide vulnerability, and greenspace equity. His interdisciplinary approach includes collaborations with the Harvard School of Dental Medicine to study dental clinic accessibility and insurance availability. Projects: Developed Web-GIS-based landslide early warning systems in Bangladesh and disaster vulnerability indices for US cities. Investigated flood crop damage assessment using novel indices and urban thermal dynamics in Dhaka. Analyzed dental healthcare deserts and ACA marketplace disparities using spatial analytics. Awards: Outstanding Ph.D. Student Award (2020, George Mason University) Commonwealth Scholarship, DAAD, and NFP Scholarships Advising & Grants: Dr. Rahman mentors graduate/undergraduate students in geospatial sciences and leads grants from NASA, NSF, and NIH. His research emphasizes interdisciplinary solutions for societal challenges, including climate adaptation and healthcare equity. Labs & Collaborations: Active in LSU’s Public Health GIS initiatives and Harvard’s dental health geospatial projects, contributing to policy-relevant research.

Franz Wotawaمشاهده پروفایل

استاد

• Model-Based Reasoning
• Qualitative Reasoning
• Theorem Proving
• +۶ مورد دیگر

Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.

Giancarlo Crocettiمشاهده پروفایل

استادیار

• Data Science
• Distributed Analytics
• Web Data Mining
• +۲ مورد دیگر

Giancarlo Crocetti is an Assistant Professor in the Department of Computer Science, Mathematics and Science at the Collins College of Professional Studies, St. John's University. His teaching focuses on data science, distributed analytics, and web data mining. He holds a Doctor of Professional Studies (D.P.S.) in Applied Computing from Pace University, along with Master's degrees in Data Mining (Central Connecticut State University) and Computer Science (La Sapienza University, Rome). Education: D.P.S., Applied Computing, Pace University M.S., Data Mining, Central Connecticut State University M.S., Computer Science, La Sapienza University - Rome His research interests span cognitive science and semantic representation of knowledge. Crocetti actively contributes to cutting-edge fields like telemedicine analytics, biomarker development for Parkinson's disease, and ensemble models in histological examination. His work bridges computer science with healthcare applications through innovative data mining techniques. Notable research includes developing algorithms for social conversation analysis in NSCLC patients and creating a think tank simulator for virtual expert consultations. His publications demonstrate expertise in both foundational computer science and applied biomedical informatics.

• Organic Chemistry
• Supramolecular Chemistry
• Peptide Self-Assembly
• +۳ مورد دیگر

Juan Ramón Granja Guillán is a Professor of Organic Chemistry at the University of Santiago de Compostela (USC), affiliated with the Faculty of Chemistry and the Research Center in Biological Chemistry and Molecular Materials (CIQUS). His academic career began with a PhD in Organic Chemistry (1988) under Dr. Antonio Mouriño Mosquera, focusing on vitamin D analog synthesis. His research spans supramolecular chemistry, peptide self-assembly, and nanobiomimetic systems, with a focus on cyclic peptide nanotubes and their applications in drug delivery, membrane interactions, and dynamic materials. Key research areas include the design of modular supramolecular capsules, photo-responsive peptide assemblies, and antimicrobial peptide nanotubes. He has pioneered the CYCLOPEp web platform for cyclic peptide research and explored applications in microfluidic systems and energy transfer materials. His work integrates computational modeling (e.g., MA (R/S) TINI forcefields) with experimental methods to study peptide-membrane interactions and self-healing hydrogels. His publications (2001–2025) highlight innovations in cyclic peptide architecture, anion recognition, and light-driven systems. Granja Guillán collaborates globally, with CIQUS as a hub for interdisciplinary projects in molecular biophysics and nanomaterials. No awards are explicitly listed, but his extensive citation network reflects significant contributions to supramolecular chemistry.

Taher Ghalebمشاهده پروفایل

استادیار

• Data-Driven Software Analytics
• Mining Software Repositories
• Continuous Integration and Delivery (CI/CD) – DevOps
• +۳ مورد دیگر

Taher Ghaleb is an Assistant Professor in the Computer Science Department at Trent University, Peterborough, Canada. He completed his Ph.D. at Queen’s University under Prof. Jenny Zou, followed by postdoctoral research at the University of Ottawa and a senior research role at the University of Toronto. His research focuses on applying data science and AI to address software engineering challenges. Education: Ph.D., Queen’s University, Software Evolution & Analytics Lab (SEAL) Postdoctoral Fellow, University of Ottawa Senior Research Position, University of Toronto Research Interests: Data-Driven Software Analytics: Empirical analysis of software development practices. AI in Software Engineering: Leveraging generative AI for code generation and bug detection. Continuous Integration/DevOps: Optimizing CI/CD pipelines for efficiency and reliability. LLM-Oriented Development: Integrating language models into software lifecycle processes. Publications: Taher’s work spans CI/CD practices, test case minimization, and AI-driven software testing. Recent trends emphasize empirical studies on open-source Android apps and flaky test prediction using language models. Awards: No explicit awards listed, but holds multiple U.S. patents related to software engineering and compiler systems. Advising & Grants: Seeks Master’s students and interns to join his team. Teaches courses like Software Design & Modelling (COIS 2240) and Software Engineering Project (COIS 4000) at Trent University. Labs & Teams: Formerly part of the Software Evolution & Analytics Lab (SEAL) at Queen’s University.

• Information Systems
• Supply Chain Management
• Digital Transformation
• +۵ مورد دیگر

Federico Pigni serves as Dean of Faculty, Pedagogy, and Research at Grenoble Ecole de Management (GEM), where he holds a full Professorship in Information Systems within the Management of Technology and Strategy department. His academic journey includes a cum laude Business Administration degree and a Ph.D. in Management Information Systems and Supply Chain Management. He has held teaching roles at institutions including Carlo Cattaneo University, the Catholic University of Milan, and Università Commerciale Luigi Bocconi in Milan. Beyond academia, Pigni co-founded Lab4Consulting (2000–2006), a web and software consultancy focused on IT innovation in banking, and completed a post-doctorate at France Télécom R&D in Sophia Antipolis, developing inter-organizational ICT adoption methodologies. His research focuses on strategic applications of information systems, particularly in interorganizational contexts and digital technologies for customer service innovation. Notable projects include the EU-funded EpilepsyPOWER initiative promoting workplace inclusion for epilepsy patients, and the TRIPBAM project leveraging digital data streams for pandemic resilience. His work spans digital transformation frameworks, cybersecurity investments, and big data analytics' impact on competitive advantage. He has authored over 100 publications, including seminal works on IT ambiguity, DevOps frameworks, and supply chain digitalization. Pigni has led collaborative initiatives like the ECOLEAD network supporting SMEs' interorganizational systems and contributed to projects such as the SOLMED solar energy desalination initiative. His expertise bridges academic research with industry practice, emphasizing real-world applications of emerging technologies to drive organizational value creation and societal impact.

Amro Al-Said Ahmadمشاهده پروفایل

مدرس

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

Dr. Amro Al-Said Ahmad is a Lecturer in Computer Science at the School of Computer Science and Mathematics, Keele University, UK. He holds a Ph.D. in Cloud Computing from Keele University and has served as a teaching fellow and lecturer in Jordan prior to his current role. His research focuses on cloud computing scalability, software testing, and agile methodologies. He has published extensively in top-tier journals and conferences, including Information and Software Technology and Journal of Cloud Computing , and contributed to organizing events like BCS HCI and IEEE SSD. Education: BSc (Software Engineering, Philadelphia University, 2009), MSc (Computer Science, Amman Arab University, 2014), PhD (Cloud Computing, Keele University, 2019). Research interests include cloud scalability, chaos engineering, software testing, and healthcare informatics. His funded projects include AWS credits for scalability analysis and an Erasmus+ grant for international collaboration. He teaches courses like Cloud Computing and Software Engineering Project Management at Keele. Grants: AWS Cloud Credit ($5K), Keele New Starter Award (£2K), Erasmus+ MED2IaH (€58,325 share). Lab/Teams: Active in cloud resilience frameworks and chaos engineering research groups.

Grzegorz J. Nalepaمشاهده پروفایل

استاد

• Artificial Intelligence
• Affective Computing
• Context-Aware Systems
• +۹ مورد دیگر

Prof. Grzegorz J. Nalepa holds the position of Full Professor at the Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, Poland. He leads the Jagiellonian Human-Centered Artificial Intelligence Lab and is involved in international projects such as the CHISTERA XPM initiative on explainable AI in predictive maintenance. His academic journey includes a PhD (2004), habilitation (2012), and a philosophy MA (2012). Research focuses on AI, affective computing, context-aware systems, and explainable AI (XAI). He has authored over 200 papers, two monographs, and edited volumes. Key projects include the BIRAFFE2 dataset for emotion-based personalization and the GEIST team's semantic wiki tools. Holds leadership roles in conferences (e.g., ECAI 2023) and serves on editorial boards of journals like Sensors and Intelligent Sensors Section . Awards include the 2018 Outstanding Monograph Prize and multiple AGH-UST Rector's Prizes for scientific achievements. Advises PhD and master students, supervising 36 MSc theses. Active in professional organizations like the Polish Alliance for AI and the IEEE Computational Collective Intelligence TC. His contributions span industrial collaborations, software tools (e.g., InXAI, LUX, KnAC), and international research networks.

Stephen Ramseyمشاهده پروفایل

دانشیار

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +۶ مورد دیگر

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Stefan Lengauerمشاهده پروفایل

پژوهشگر

• Visual Analytics
• 3D Object Retrieval
• Image Processing
• +۴ مورد دیگر

Stefan Lengauer is a Senior Researcher at the Institute of Visual Computing (IVC), Graz University of Technology. His work bridges cultural heritage analysis and health informatics through advanced visualization techniques. PhD in Computer Science (2022), Graz University of Technology MSc in Space Sciences (2018), TU Graz BSc in Computer Science (2014-2022) and Aviation (2015), FH JOANNEUM Research focuses on visual analytics , 3D object retrieval , and cross-modal search , with applications in: Medical domains (diabetes care, health information systems) Cultural heritage (pottery analysis, fragment matching, digital restoration) Pattern recognition (geometric motifs, surface textures) Recent publications highlight trends in adaptive visualization (2024-2025) and 3D cultural heritage analysis (2021-2023). Key projects include: HEREDITARY (2024-present): HORIZON Europe project on gut-brain interaction A+CHIS (2020-present): FWF research group on adaptive health information systems CrossSAVE-CH (2019-2022): Cross-modal search in cultural heritage Scientific recognition includes: Best Challenge Entry (2024) Honorable Mention (2020) PhD distinction (2022) Mentored 12+ students in topics ranging from medical chatbots to 3D pottery analysis . Reviewing activities span journals like Springer Nature and conferences including WSCG.