جست‌وجوی استاد و پژوهشگر

Djoko Sigit Sayogoمشاهده پروفایل

مدرس ارشد

• Public Policy
• Information Technology
• Economic Development
• +۶ مورد دیگر

Djoko Sigit Sayogo is a Senior Lecturer in the Department of Economics and Business at the University of Muhammadiyah at Malang (UMM), Indonesia. He also served as Director at the Center for Economics, Business & Entrepreneurship Development at UMM. His academic career includes a Postdoctoral Associate role at the Center for Technology in Government (CTG) from 2015, where he contributed to the I-Choose project leveraging Semantic Web technologies. Educations: Ph.D., Public Administration, 2013, Rockefeller College, University at Albany M.Acc, Accounting, 2003, The University of Melbourne, Australia B.S., Accounting, 1997, University of Muhammadiyah at Malang Research Interests: Focus on the intersection of information technology, public policy, and economic development. Key areas include open data initiatives, smart disclosure policies, e-financial reporting, and interagency information sharing. His work emphasizes understanding motivations for private sector data sharing and consumer trust in digital platforms like I-Choose. Awards & Recognition: Recipient of Best Management/ Policy Paper (2013) for 'Understanding Smart Data Disclosure Policy Success: The Case of Green Button' Nominated for Best Paper Award (2013) for 'Open Budgets and Open Government: Beyond Disclosure' Leadership & Contributions: Managed undergraduate accounting and computer laboratories at UMM (2006–2008), organized Internet training programs, and actively contributes to digital government conferences. His research explores socio-political determinants of open budgets and cross-boundary information integration challenges. Labs/Teams: Core contributor to the CTG team developing the I-Choose platform, which uses OWL ontology for global information systems. Collaborations include work on semantic web architectures to support ethical consumer choices.

Jens Lechtenbörgerمشاهده پروفایل

مدرس

• Open Educational Resources (OER)
• Data Warehousing
• Business Intelligence
• +۴ مورد دیگر

Dr. Jens Lechtenbörger is a Faculty member and Lecturer at the Chair of Machine Learning and Data Engineering at the University of Münster's School of Business and Economics. He holds a Doctoral degree (2001) and a diploma in Computer Science (1997) from the University of Münster and Oldenburg, respectively. His roles include serving as Akademischer Oberrat since 2006, Acting Professor (2016), and Fellow for innovation in digital university teaching (2016–2017). He leads projects like Tutor.AI and OER infrastructure development, focusing on Open Educational Resources (OER), data warehousing, and educational technology. Research interests span OER creation, data integration, business intelligence, and machine learning applications in education. He has published extensively on data warehouse design, database systems, and educational technologies. Notable awards include the Best Evolutionary & Swarm Computation Paper Award (2019) and the Dissertation Prize 2003. Teaching responsibilities include courses on data structures, operating systems, and management information systems. He supervises theses on topics like AI-driven learning systems, data privacy, and business logic vulnerabilities. Active in academic service, he chairs committees on digital teaching and curriculum reform at the University of Münster.

Nick Nikiforakisمشاهده پروفایل

دانشیار

• Web Security
• Software Security
• Cybersecurity
• +۳ مورد دیگر

Nick Nikiforakis is an Associate Professor in the Department of Computer Science at Stony Brook University, with an affiliation to the National Security Institute. His research focuses on web security, privacy, software security, and intrusion detection, with particular emphasis on analyzing online ecosystems, domain squatting, honeypot deployment, and client-side defense mechanisms. He completed his PhD in Computer Science at KU Leuven (Belgium), and holds an MSc in Parallel and Distributed Systems and a BSc in Computer Science from the University of Crete, Greece. His work has been funded by NSF and ONR grants, including projects addressing vulnerability scanning, social engineering defenses, and mobile browser security. Nikiforakis' awards include a Distinguished Paper Award at NDSS 2017 and a Best Paper Award at ISC 2014. He teaches courses CSE 508 (Computer Security), CSE 509 (Advanced Topics in Security), and CSE 361 (Data Structures and Algorithms). His research explores cutting-edge threats like blockchain naming system abuse, cryptocurrency scams, and adversarial AI-driven misinformation campaigns.

• Multi-Agent Systems
• Hypermedia Systems
• Web of Things
• +۳ مورد دیگر

Andrei Ciortea is an Assistant Professor in Interaction and Communication based Systems at the University of St. Gallen, affiliated with the ICS-HSG (Interaction and Communication Systems) department. His research focuses on Internet-scale multi-agent systems, hypermedia systems, the Web of Things, and socio-technical systems. He explores topics such as autonomous agents, hypermedia environments, and the integration of digital twins in industrial automation. Key research interests include the design of adaptive coordination mechanisms, affordance-driven interaction models, and semantic hypermedia search. His work emphasizes practical applications in manufacturing, energy systems, and sustainable design. Notable contributions include the HyperBrain project leveraging large language models for human-inspired guidance and the Solid-based Pody framework for agent embodiment in web systems. He received the Best Paper Award at the 6th International Conference on the Internet of Things (IoT 2016). His publications span topics like digital twin ecosystems, circular design strategies, and governance frameworks for autonomous agents on the web. Current research trends highlight the interplay between agent autonomy, hypermedia architectures, and socio-technical interactions in smart environments. Dr. Ciortea collaborates on interdisciplinary projects involving AI ethics, transparent machine intelligence, and real-time collaboration in linked data systems. His work bridges theoretical agent models with real-world industrial applications, emphasizing scalable, interoperable solutions for distributed systems.

Nathan C. Hulseمشاهده پروفایل

استاد مدعو

• Biomedical Informatics
• Clinical Decision Support Systems
• Knowledge Management
• +۶ مورد دیگر

Nathan C. Hulse, PhD, is an Adjunct Professor at the University of Utah's Department of Biomedical Informatics and Director of Clinical Knowledge Management at Intermountain Healthcare. He specializes in biomedical informatics, focusing on clinical decision support systems, family health history tools, and health information standards development. Education: PhD in Medical Informatics (University of Utah), BS in Computer Science (University of Utah) His research explores: Knowledge management strategies for EHR systems Consumer-facing health informatics tools for risk assessment Integration of genetic data into clinical workflows Standards-based interoperability (HL7, FHIR) Personalized health education delivery Analytics for clinical guideline adherence His publications emphasize: Electronic health record optimization Infobutton systems for point-of-care education XML-based clinical knowledge modeling Peer feedback mechanisms in medical knowledge bases Federated data sharing environments Visual analytics for clinical practice guidelines

Karolina Erikssonمشاهده پروفایل

پژوهشگر ارشد

• Marine Ecology
• Microbial Ecology
• Environmental Modeling
• +۵ مورد دیگر

Karolina Eriksson is a Postdoctoral Fellow (currently on leave) at Umeå University's Department of Ecology, Environment and Geoscience and affiliated with the Umeå Marine Sciences Centre (UMF). Her research focuses on modeling cyanobacterial blooms and nutrient dynamics in the Northern Baltic Sea, emphasizing sustainable development and climate change preparedness. Her research interests span: Marine and microbial ecology of the Baltic Sea Climate change impacts on water quality (e.g., brownification) Pathogen dynamics linked to land use practices Eutrophication modeling and mitigation Public health implications of aquatic microbial shifts Recent publications (2022-2024) reveal a strong emphasis on land-sea connectivity, particularly how upstream forestry/agriculture influences downstream Legionella prevalence through humic substances and iron dynamics. Her work integrates multivariate statistics with ecological modeling to address cyanobacterial expansion into northern waters under changing nutrient regimes. Dr. Eriksson actively contributes to major research initiatives: "When will eutrophication problems hit the Bothnian Bay?" (2025-2026) "Large-scale regulation of food web processes" (2024-2027) "Nutrients and eutrophication in the Gulf of Bothnia" (2022-2024) "Aquatic environments at risk of pathogenic bacteria" (2018-2023) She collaborates within the EcoChange and Umeå Marine Ecology research groups, leveraging UMF's infrastructure to study climate-driven ecosystem changes while aligning with UN Sustainable Development Goals 6 (Clean Water), 13 (Climate Action), and 14 (Life Below Water).

Jakob Huberمشاهده پروفایل

پژوهشگر

• Operations Research
• Machine Learning
• Supply Chain Management
• +۳ مورد دیگر

Dr. Jakob Huber is a Researcher at the University of Mannheim's School of Business Informatics and Mathematics, affiliated with the Data and Web Science Group. His research focuses on operations research, machine learning, and data-driven decision-making in supply chain management and inventory systems. He also explores probabilistic reasoning with ontologies and semantic web technologies. Huber's work addresses challenges such as perishable goods inventory optimization, demand forecasting incorporating calendar effects, and real-time decision support systems. His contributions bridge theoretical advancements in machine learning and practical applications in retail and logistics. Selected research highlights include developing cluster-based hierarchical demand forecasting models and infrastructure for probabilistic semantic web reasoning. His publications span journals like the International Journal of Production Economics and the Semantic Web. He holds a PhD from the University of Mannheim, and his expertise spans data science, artificial intelligence, and combinatorial optimization for data integration.

Gerui Wangمشاهده پروفایل

مدرس

• AI Ethics
• Art and AI
• Digital Humanities
• +۳ مورد دیگر

Gerui Wang is a Lecturer at Stanford University’s Center for East Asian Studies and the University of California, Santa Cruz. She specializes in AI ethics, digital humanities, and the intersection of art, technology, and environment. Her research includes a focus on governance and ecology in Chinese visual culture, supported by grants from the Chiang Ching-kuo Foundation and Mellon Foundation. She leads the digital humanities project Storytelling with AI , archived by Stanford Libraries, and has published in Journal of Chinese History and Newsletter for International China Studies . Awards include the 2024 Stanford Teaching Advancement Award for her AI-focused courses. Gerui also contributes to AI policy discussions via platforms like the Alan Turing Institute and Forbes, addressing topics like AI’s societal impact and ethical challenges. Her interdisciplinary work spans academia, media, and policy, with affiliations including the NEH-funded Teaching Art History with AI group at the University of Pittsburgh.

Daniel Y Chenمشاهده پروفایل

مدرس

• Data Science Education
• Statistics
• Bioinformatics
• +۳ مورد دیگر

Daniel Y Chen is a Lecturer in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus. He holds a PhD Candidate status in Genetics, Bioinformatics, and Computational Biology at Virginia Tech, focusing on data science education in the biomedical sciences. His expertise includes statistical computing, open source software development, and reproducible research practices. Education: PhD Candidate (in progress): Genetics, Bioinformatics & Computational Biology, Virginia Tech MSc: Relevant field (implied via career progression) Research Interests: Daniel's work bridges data science pedagogy and biomedical applications. He focuses on improving computational literacy among medical practitioners through accessible education resources, open source tools, and reproducible workflows. His technical contributions span R and Python ecosystems, including packages like grader and pyprojroot , and authoring Pandas for Everyone . He actively promotes best practices in scientific programming and collaborative software development. Grants & Contributions: Contributions to RStudio's gradethis and learnr packages Open source maintenance (e.g., Arch Linux AUR packages) Labs/Teams: Affiliated with UBC's Data Science for Biomedicine (DS4BIOMED) initiative and Virginia Tech's Social Decision Analytics Laboratory. Collaborates with RStudio and GitHub communities on education and tool development.

Akshitha Sriramanمشاهده پروفایل

استادیار

• Computer Architecture
• Hardware-Software Co-design
• Data Center Computing
• +۴ مورد دیگر

Akshitha Sriraman is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at Carnegie Mellon University. She holds a PhD in Computer Science from the University of Michigan (2021) and an M.S. in Embedded Systems from the University of Pennsylvania (2015). Her research focuses on bridging computer architecture and systems software to design efficient, sustainable, and equitable data center systems, emphasizing hardware-software co-design. Her work has been deployed in real hyperscale data centers, influencing Intel’s Alder Lake CPU architectures and Infrastructure Processing Unit designs. Recipient of the NSF CAREER Award (2024), Intel Rising Star Award (2023), and multiple dissertation prizes. Advances include reducing global carbon emissions via server design and introducing equity as a first-order design concern in web systems. Advises PhD and Master’s students on topics like sustainable computing, equitable systems, and hardware optimization. Key contributions span energy-efficient data center architectures, bias-free scheduling systems, and cloud GPU power management. She leads a research group prioritizing socially responsible computing and has received grants from NSF, AWS, and industry partnerships.

Stephanie Greenمشاهده پروفایل

دانشیار

• Aquatic Global Change Ecology
• Marine Conservation Biology
• Invasive Species Management
• +۳ مورد دیگر

Stephanie Green is an Associate Professor and Canada Research Chair in Aquatic Global Change Ecology & Conservation at the University of Alberta's Faculty of Science. Her work focuses on understanding biodiversity change in marine ecosystems and developing science-based tools for conservation under global change. She leads the Green Lab, which combines ecological and social science approaches to address challenges in marine conservation, restoration, and human-natural system interactions. Her research integrates field experiments, modeling, and stakeholder collaboration to study topics like fisheries resilience to climate change, invasive species management, and coastal habitat restoration. Notable areas of focus include lionfish invasions, coral reef dynamics, and the socio-ecological impacts of energy development. Teaching responsibilities include courses on marine population ecology, ecological principles, and advanced ecology. She actively mentors students through independent research projects and encourages interdisciplinary collaboration. Her lab maintains active partnerships with practitioners and communities to ensure research addresses real-world needs.

Mauro Prevostiniمشاهده پروفایل

مدرس

• Wireless Sensor Networks
• Precision Agriculture
• Embedded Systems
• +۴ مورد دیگر

Mauro Prevostini is the Program Manager of the Faculty of Informatics at the Università della Svizzera italiana (USI) since 2004 and holds the academic rank of Lecturer. He previously managed the creation of the Faculty of Informatics from 2001 to 2004 and has been a staff member of the ALaRI institute until 2018. His roles include coordinating academic-industry collaborations and promoting computer science education in local schools. Education: MSc in Electrical Engineering (ETH Zürich, 1994), Thesis: "On-Line Recognition of Masticatory Muscles Activity with Long-Time EMG Recorder" Secondary Education: Liceo Cantonale Lugano 1 (1984–1988) Research Interests: Focuses on Wireless Sensor Networks applied to Precision Agriculture, particularly in pest monitoring systems like PreDiVine DSS. His work integrates UML-based design methodologies for embedded systems and cyber-physical systems. Collaborations include ALaRI and Agroscope research center. Academic Contributions: Over 15 key publications from 2003–2022 emphasize system-level design, hardware/software co-design, and sensor network optimization. Recent articles address deep learning strategies for pest detection and adaptive decision support systems. Professional Activities: Co-founder of Dolphin Engineering Sagl (2012–present), a Precision Agriculture startup Member of the academic senate (2017–2019; 2023–present) Former coordinator of the Ticino branch for the informatica08 initiative (2008) Labs & Projects: Leads projects on wireless sensor networks for agricultural monitoring and collaborates with ALaRI on embedded system design tools and methodologies.

Guofei Guمشاهده پروفایل

استاد

• Network and System Security
• AI Security
• Software-Defined Security (SDN/NFV)
• +۵ مورد دیگر

Guofei Gu is a Professor of Computer Science & Engineering and holder of the Eppright Professorship in Engineering at Texas A&M University's College of Engineering. He leads the SUCCESS Lab, focusing on cybersecurity research in areas such as software-defined security, AI security, and IoT/malware analysis. His work bridges networking, systems, and applied cryptography, addressing practical security challenges. Guofei received his Ph.D. from Georgia Tech (2008) and holds prestigious awards including IEEE Fellow (2020), NSF CAREER Award (2010), and AFOSR Young Investigator Award (2013). He has published extensively in top venues like S&P, CCS, and NDSS, with over 18,000 citations. Research Interests: Network/System Security, AI Security, SDN/NFV Security, Mobile/IoT Threats, Malware Analysis, and Zero Trust Frameworks. Selected Awards: Best Paper at ASIACCS 2022 Eppright Professorship in Engineering (2020) IEEE Fellow (2020) AFOSR Young Investigator Award (2013) Labs/Teams: Director of the SUCCESS Lab, collaborating on projects like S2OS (Security OS) and FRESCO. His work emphasizes programmable security solutions for emerging technologies.

• Distributed Software Systems
• Network Function Virtualization
• Formal Verification
• +۳ مورد دیگر

Patrick Eugster is a full professor at the Università della Svizzera italiana (USI) and leads the Software Systems (SWYSTEMS) group within the Computer Systems Institute . He has held academic positions at Purdue University, TU Darmstadt, and MIT as a visiting faculty. His research focuses on distributed software systems , addressing challenges in consistency, efficiency, and security in decentralized environments. Current affiliation: USI Faculty of Informatics Prior affiliations: Purdue University (2005-2016), TU Darmstadt (2014-2017), MIT (2012/2013) Research Interests Distributed Systems : Investigating reliable failure detection, deterministic data paths for 6G, and hybrid synchronous/asynchronous architectures. Network Innovation : Optimizing TCAM encoding, analyzing microbursts, and developing quantum network protocols. Security & Verification : Creating confidentiality-preserving mechanisms and formal verification approaches for distributed software. Scientific Contributions 2025: Best paper at TACAS on Horn clause validation 2025: IFIP Jean-Claude Laprie Award for dependable computing 2024: Key papers at IEEE Network, ACM PLDI, and IEEE INFOCOM Funding & Collaborations Swiss National Science Foundation grants #200021_197353 and #200021_192121 EU Horizon Europe MSCA staff exchange project CloudStars Industry partners: Cisco, Amazon AWS, Facebook Research, SAP, Northrop Grumman Cybersecurity Research Consortium Labs & Teams Directs the SWYSTEMS group, which includes postdocs like Sina Darabi and Shamiek Mangipudi, PhD students such as Anita Buckley and Jérôme Graf, and alumni who have become faculty at institutions like Télécom Paris and University of Southern California.

• Digitalization
• Control Systems
• Optimization
• +۴ مورد دیگر

Guoyuan Li is a Professor at the Department of Marine Operations and Engineering Technology at NTNU, affiliated with the Faculty of Engineering. His research focuses on digitalization, control systems, robotics, maritime operations, and human-machine interaction. He holds IEEE Senior Membership (2019) and editorial roles in IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Education includes a Ph.D. in Computer Science from Hamburg University (2013), M.S. and B.S. from Chongqing University (2009/2006). Key projects include EU-funded RoboSAPIENS (robotic adaptation), Digital Twin for Green Ship Operations, and TwinShip (vessel lifecycle services). Recent awards include 2024 IEEE Robotics & Automation Magazine Best Paper and multiple IEEE conference recognitions. His work spans AI-driven maritime safety, digital twin applications, and autonomous systems. Visit Intelligent Systems Lab for more.