جستجوی استاد راهنمای دانشگاهی

Athanasios TRIANTAFYLLOUمشاهده پروفایل

دانشیار

• Commodity Markets
• Risk Management
• Volatility Forecasting
• +۴ مورد دیگر

Athanasios TRIANTAFYLLOU is an Associate Professor of Finance at IÉSEG School of Management in France. He holds a Ph.D. in Economics from the University of Athens (2017) and has held academic positions including Visiting Professor at Cornell University (2019), Lecturer at the University of Essex (2017–2022), and General Equilibrium Modeler at the National Technical University of Athens (2015). His research focuses on commodity markets, volatility forecasting, risk management, and monetary economics. Key contributions include analyzing commodity price uncertainty's impact on economic activity and financial markets. He has published extensively in journals like Journal of Futures Markets , Economics Letters , and International Journal of Finance and Economics . Education includes a BSc in Mathematics (2008), MSc in Accounting and Finance (2010), and M.Phil. in Economics (2013), all from Greek institutions. Professional experience includes risk management consulting at Ernst & Young (2016–2017). His teaching covers financial derivatives, multinational finance, and commodity markets. Research highlights include exploring the role of commodity price uncertainty in global economic dynamics and the predictive power of market information in corporate defaults. His work often bridges theoretical econometrics with practical policy implications, addressing issues like inflation dynamics driven by oil market risks and the tourism-led growth hypothesis in the Eurozone. TRIANTAFYLLOU’s publications emphasize volatility modeling, commodity market linkages, and the interplay between economic uncertainty and financial stability.

• Productivity Analysis
• Macroeconomic Policy
• Energy Economics
• +۴ مورد دیگر

Dr. IKM Mokhtarul Wadud is a Senior Lecturer in the Department of Economics at The University of Sydney, Australia. Previously, he held roles as Senior Lecturer at Deakin University, Lecturer at Monash University Malaysia, and Assistant Professor at the University of Rajshahi, Bangladesh. He earned his PhD in Economics from the University of Wollongong in 2001. His research focuses on productivity analysis, macroeconomic policy, energy economics, and applied econometric modeling. Notable contributions include co-authoring the Asia Pacific edition of Introductory Econometrics (Cengage Learning) and publishing in journals like Economic Modelling and Energy Policy . His recent work addresses financial sustainability strategies in higher education during the pandemic and the impact of economic policy uncertainty on property prices in Australia. Dr. Wadud has presented at international conferences and served as a reviewer for multiple journals. His research spans diverse regions, including Australia, Thailand, Malaysia, and Bangladesh, with analyses of oil price volatility, monetary policy effects, and industrial competitiveness.

Rogério de Lemosمشاهده پروفایل

مدرس ارشد

• Resilient AI
• Self-adaptive software systems
• Authorisation infrastructures
• +۷ مورد دیگر

Rogério de Lemos is a Senior Lecturer in Computing Science and Director of Postgraduate Research (PGR) at the School of Computing, University of Kent. He previously served as an invited assistant professor at the University of Coimbra, Portugal, and as a Senior Research Associate at the Centre for Software Reliability (CSR) at the University of Newcastle upon Tyne, UK. Dr. de Lemos' research focuses on architecting resilient systems, particularly in resilient AI, self-adaptive software systems, and authorization infrastructures. He belongs to both the Programming Languages and Systems Group and the Cyber Security Group at the University of Kent. His specific research interests include: Software engineering for self-adaptive systems assurances and resilience evaluation Dynamic generation of processes Handling insider threats using self-adaptive authorization Architectural abstractions for fault tolerance Verification and validation of dependable software architectures Software development for safety-critical systems Dependability and bioinspired computing His publication trends show increasing emphasis on practical applications of self-adaptive systems in cyber security contexts, with recent work spanning network traffic analysis, cryptographic function detection, and cloud-edge security architectures. His research bridges theoretical foundations with practical implementations, particularly in cyber security and resilient systems architecture. Dr. de Lemos currently leads the "Collaborative and Confidential Information Sharing and Analysis for Cyber Protection" project funded by the European Union's Horizon 2020 Programme. His past projects include "ADAAS: Assuring Dependability in Architecture-based Adaptive Systems" and multiple collaborations with NCR on sensor fusion and fault tolerance. As Director of Postgraduate Research, he oversees the School of Computing's research degree programs and likely supervises PhD students in resilient systems and cyber security, though specific student names are not listed in the available information.

Daniel Kreismanمشاهده پروفایل

دانشیار

• Education Policy
• Labor Economics
• Education Finance
• +۳ مورد دیگر

Daniel Kreisman is an Associate Professor of Economics at Georgia State University and a faculty affiliate at the University of Milan. His research focuses on labor economics, education finance, and policy, particularly examining school funding, career and technical education (CTE), and student loan repayment systems. Kreisman founded the Career & Technical Education Policy Exchange (CTEx), a multi-state consortium under Georgia Policy Labs, which analyzes CTE policy impacts. He holds a Ph.D. in Public Policy from the University of Chicago and a B.A. in History and Philosophy from Tulane University. Prior to academia, he taught high school English in New Orleans. His education includes a PhD from the University of Chicago (Public Policy) and a BA from Tulane University (History and Philosophy). Research Interests: Educational Finance and School Funding Mechanisms CTE Program Design and Equity Student Loan Repayment Behaviors Labor Market Signaling and Economic Outcomes Public Policy Evaluation CTEx collaborations include state partners in Massachusetts, Michigan, Montana, Tennessee, Texas, Washington, and Atlanta, focusing on data-driven policy to enhance CTE programs. Advising & Grants: Kreisman’s work bridges academia and policy, with grants supporting research on CTE alignment, financial aid impacts, and loan repayment systems. His lab affiliations enable applied policy analysis. Labs/Teams: Director of CTEx and active member of Georgia Policy Labs, emphasizing evidence-based education policy.

Saskia Sassenمشاهده پروفایل

استاد

• Globalization studies
• Urban studies
• Immigration
• +۴ مورد دیگر

Saskia Sassen is the Robert S. Lynd Professor of Sociology at Columbia University and Co-Chair of the Committee on Global Thought. Her research focuses on globalization, urban studies, immigration, and inequality, with key contributions to understanding the sociology of globalization, global cities, and systemic expulsions in the global economy. Major Projects: Global cities theory, expulsions framework, denationalization processes, and ethics of the city research. Books: The Global City , Expulsions: Brutality and Complexity in the Global Economy , Territory, Authority, Rights , and A Sociology of Globalization . Research Themes: Sassen's work interrogates how globalization reshapes economic, social, and environmental systems. She examines the interplay between territory and digitalization, the rise of expulsions beyond traditional inequality frameworks, and the privatization of urban spaces. Her scholarship bridges sociology, political economy, and environmental studies, emphasizing the need for new theoretical approaches to address complex global systems. Scientific Awards: Prince of Asturias Prize in Social Sciences (2013) Multiple doctor honoris causa (Delft University of Technology, DePaul University, Universite de Poitiers, Royal Stockholm Technical University, Ghent University, Warwick University, Universidad de Murcia, European University Institute, Universidad Nacional de Buenos Aires, Universidad Nacional de Cordoba, Universidad de Valencia, Universidad de Guadalajara, Ecole Normale Superieure) Member of Academia Europaea, Council on Foreign Relations, and Royal Academy of Sciences of the Netherlands Professional Activities: Sassen has led major research initiatives including the Transnationalism Project at the University of Chicago, the Herrhausen Foundation's Urban Age project, and the European Union Research Council-funded Cities at War: Global Insecurity and Urban Resistance . She advises governments, international organizations, and academic institutions on urban governance, migration, and global economic systems.

Laurie Williamsمشاهده پروفایل

استاد

• Software Security
• Agile Software Development
• Software Supply Chain Security
• +۴ مورد دیگر

Laurie Williams serves as a Goodnight Distinguished University Professor in the Computer Science Department within the College of Engineering at North Carolina State University. She co-directs both the NCSU Secure Computing Institute and the NC State Science of Security Lablet, demonstrating deep institutional leadership in cybersecurity research. With over 260 refereed publications, her work establishes her as a prominent figure in software security academia. Her research spans critical areas including software security, agile development practices (particularly continuous deployment), software reliability, and software supply chain security. Williams focuses on practical security solutions addressing modern challenges like malicious dependencies in open-source ecosystems, AI-generated code vulnerabilities, and runtime protection mechanisms. Her work bridges theoretical security principles with industry-relevant applications. Recent publications reveal strong trends toward software supply chain security, with multiple 2024-2025 papers addressing vulnerability exploitability, malicious commit detection, and metrics-driven security control selection. Her research increasingly incorporates machine learning for threat detection while maintaining focus on human factors in secure development practices. IEEE Fellow (2018) National Science Foundation CAREER Award (2004) ACM SIGSOFT Influential Educator Award (2009) Multiple IBM Faculty Awards (2002-2012) NCSU Alumni Association Outstanding Research Award (2015-2016) Williams leads multiple major NSF-funded projects including the $5.7M SaTC Frontiers grant on secure software supply chains and the Science of Security Lablet with $3.6M in DoD funding. Her research emphasizes practical industry impact through collaborations with Cisco and Laboratory for Analytic Sciences. She actively mentors through the NCSU Research Leadership Academy and maintains significant educational outreach in software security. Her laboratory work centers on the Secure Computing Institute and Science of Security Lablet, where her team develops frameworks for vulnerability prediction, supply chain risk assessment, and secure development methodologies. Current projects focus on machine learning integrity, cognitive modeling for security decisions, and empirical analysis of build/deployment logs for anomaly detection.

Ali Yaycıoğluمشاهده پروفایل

دانشیار

• Ottoman Empire
• Modern Turkey
• Political Institutions
• +۵ مورد دیگر

Ali Yaycıoğlu is an Associate Professor of History at Stanford University, serving as Director of the Abbasi Program in Islamic Studies and Middle Eastern Studies Forum. His work focuses on Ottoman Empire and Modern Turkey, integrating digital tools to analyze political, economic, and legal institutions. He holds affiliations with the Center on Democracy, Development and the Rule of Law, and the Freeman Spogli Institute for International Studies. B.S. in International Relations (Middle East Technical University, 1994) M.A. in History (Bilkent University, 1997) Graduate Studies in Islamic Studies (McGill University, 1998) Ph.D. in History and Middle Eastern Studies (Harvard, 2008) His research explores Ottoman political and financial systems, with current projects examining debt networks (The Order of Debt) and Ottoman political communities. He leads digital initiatives like Charting the Empire and Mapping Ottoman Epirus, using spatial analysis to map fiscal records and power structures. His work bridges historical analysis with digital humanities, producing visualizations of Ottoman networks. Notable publications include Partners of the Empire (2016) and essays on Ottoman global connections. He co-edited a special digital humanities issue of the Journal of Ottoman and Turkish Studies (2023). His research has been supported by grants including the Stanford Data Science Seed Grant (2018). Yaycıoğlu advises the Stanford Ottoman World Series and engages in public scholarship through media commentary on Turkish politics. His artistic projects under 'Critical Imagination' explore historical themes through visual arts, further bridging academic and creative domains.

Yuan Tianمشاهده پروفایل

استادیار

• Data Mining
• Software Engineering
• Social Network Analysis
• +۳ مورد دیگر

Yuan Tian is an Assistant Professor in the School of Computing at Queen's University, Faculty of Arts and Science. She holds a PhD in Information Systems from Singapore Management University (2017) and a B.Sc. in Computer Science from Zhejiang University (2012). Her research focuses on integrating heterogeneous data sources to enhance software engineering practices, including data mining, recommender systems, and social network analysis. Prior to Queen's, she was a data scientist at Living Analytics Research Centre (LARC), SMU. She has held visiting positions at Carnegie Mellon University, INRIA Paris, and SAIL Canada. Research Interests: Data Mining Software Engineering Social Network Analysis Information Retrieval Recommender Systems Computer Security Recent Research Trends: Her work emphasizes AI-driven solutions for software bug management, code translation, vulnerability detection, and developer behavior analysis. Notable contributions include leveraging LLMs for technical debt repayment and enhancing code vulnerability detection via Graph Neural Networks. Awards: SMU Presidential Doctoral Fellowship (2015-2016) Best Paper Award at SANER 2017 Grants & Advising: No formal advisees listed, but active in collaborative projects with industry and academic partners. Labs/Teams: Previously associated with SOAR Group at SMU and currently leads research in Queen's School of Computing.

• Software Architecture
• Microservices
• Cloud Computing
• +۷ مورد دیگر

Uwe Zdun is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice-Director of Studies for Computer Science and Head of the Research Group Software Architecture. His teaching portfolio includes core courses such as Software Engineering 2, Advanced Software Engineering, and Practical Software Courses for Bachelor's and Master's theses across multiple semesters (2024W-2025S). His research spans software architecture with emphasis on microservices, cloud computing, and DevOps. Key focus areas include architectural design decisions, infrastructure-as-code conformance, security in distributed systems, and the integration of machine learning operations (MLOps/RLOps). He investigates cognitive aspects of architecture practices through controlled experiments and develops model-driven approaches for quality assessment in complex systems. Recent publications (2024-2026) reveal three dominant trends: (1) Security and coupling analysis in infrastructure-as-code deployments, (2) MLOps/RLOps integration for Industry 4.0 cyber-physical systems, and (3) Performance optimization patterns for CI/CD pipelines and autoscaling. His work bridges theoretical architecture models with industrial practice, particularly in microservice ecosystems and reinforcement learning applications. Professor Zdun leads the Research Group Software Architecture at the University of Vienna's Faculty of Computer Science. The group focuses on empirical validation of architectural patterns, tool development for conformance checking, and advancing design decision methodologies in cloud-native and AI-driven systems.

• Cyber-Physical Systems
• Machine Learning
• Self-Adaptive Systems
• +۴ مورد دیگر

Dr. Ilias Gerostathopoulos is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute and the Department of Information Management & Software Engineering. He specializes in self-adaptive systems, cyber-physical systems, and machine learning operations (MLOps). His work focuses on software architectures for autonomous systems, decision-making under uncertainty, and experiment-driven adaptation frameworks. He teaches courses such as 'Fundamentals of Adaptive Software' and 'Information Management', emphasizing practical applications of adaptive systems and data-driven decision-making. Gerostathopoulos has been awarded the Best Presentation Award (2021) for contributions to evaluating self-adaptive systems. His research addresses challenges in industrial self-adaptation, MLOps architectures, and robotics. Key research themes include: Architecture-based self-adaptation in robotics and CPS MLOps frameworks and systematic analysis of AI systems Uncertainty management in autonomous systems Experiment-driven learning and tool development Notable contributions include the ExpEngine tool for workflow optimization and the ReBeT framework for robotic systems. His work bridges theoretical software engineering with practical industrial implementations.

Riikka Kouluمشاهده پروفایل

دانشیار

• Law and Technology
• AI Regulation
• Digital Public Administration
• +۶ مورد دیگر

Riikka Koulu is an Associate Professor of Social and Legal Implications of AI at the University of Helsinki, holding joint appointments at the Faculty of Law and Faculty of Social Sciences. She serves as Director of the University of Helsinki Legal Tech Lab, an interdisciplinary research hub focused on law, technology, and society, and is an affiliated researcher at the Alexander von Humboldt Institute for Internet and Society in Berlin. In 2025, she will be an academic visitor at Oxford University. Education: Doctor of Law (OTT), University of Helsinki (awarded November 17, 2016) Title of Docent (digitalisation of law), University of Lapland (2020-present) Riikka Koulu is a socio-legal scholar specializing in the interconnections between law, technology, and society. Her research focuses on understanding law's role in shaping and being shaped by digitalized societies. She combines doctrinal and theoretical legal analysis with empirical research from a public law perspective. Her current work examines digital public administration, AI policy and regulation, European technology regulation, and the impact of digital technologies on legal decision-making. She is particularly interested in human oversight mechanisms and interface design in automated systems. Her recent publications reveal a strong focus on the legal implications of digital transformation, with particular attention to automated decision-making in public administration, algorithmic governance, and the changing nature of legal procedures in digital environments. Her work spans theoretical explorations of legal concepts in digital contexts and practical analyses of how technology is reshaping justice systems and public administration. Scientific Recognition: Title of Docent (digitalisation of law), University of Lapland (2020) Affiliated researcher, Alexander von Humboldt Institute for Internet and Society, Berlin (2019-present) Riikka Koulu actively supervises doctoral researchers through the Doctoral Programme in Law and has secured significant research funding for multiple projects. Her current research portfolio includes the ADM-Gov project (2022-2026) on automated administration governance, the REPAIR project (2022-2025) on algorithmic system maintenance, and the DARE project (2021-2026) on inclusive digital administration design. These projects involve collaboration with international partners and interdisciplinary teams. As Director of the University of Helsinki Legal Tech Lab, Koulu leads an interdisciplinary research hub that is part of the Network of Centers (NoC). The lab serves as a focal point for research on the intersection of law, technology, and society, bringing together scholars from legal studies, computer science, social sciences, and design disciplines to address pressing challenges in digital governance.

Nicole Novielliمشاهده پروفایل

دانشیار

• Affective Computing
• Software Engineering
• Natural Language Processing
• +۵ مورد دیگر

Nicole Novielli, Ph.D., is Associate Professor at the University of Bari “A. Moro” , Italy, where she conducts research on affective computing applied to software engineering and human-computer interaction. She leads the Collaborative Development Group and coordinates national projects investigating emotions in software teams, AI quality and IoT ecosystems. Education: Ph.D. in Computer Science, University of Bari, 2010 – thesis on “Lexical Semantics of Dialogue Acts” M.Sc. in Computer Science (Knowledge & Software Engineering), University of Bari, 2006 – summa cum laude B.Sc. in Computer Science, University of Bari, 2004 – summa cum laude Visiting researcher at USC-ICT, University of Aberdeen, FBK-irst (Trento) Research interests revolve around recognizing and exploiting affective and cognitive states in computer-mediated cooperative work. She studies sentiment and emotion mining in developers’ textual communication, multimodal emotion recognition via low-cost biometric sensors, and natural-language dialogue simulation for intelligent interfaces. Her work couples software engineering with natural language processing , social media analytics and human-computer interaction . Recent articles (2021-2025) reveal a clear trend: integrating deep learning and large language models into software engineering tasks—automated issue labelling, sentiment classification, technical-debt detection—while validating these techniques through rigorous empirical studies and biometric experiments . A parallel stream explores developer experience , measuring how emotions and cognitive load influence productivity, code quality and collaboration. Scientific awards include the 2020 Apex Award for Publication Excellence , multiple Distinguished Reviewer Awards at flagship venues (ESEC/FSE, ICSME, MSR), the Best Paper Award SANER 2019 and the Best Student Paper Award ACII 2009 . She currently teaches “Sentiment Analysis” in the Data-Science MSc and “Computer Networks” in the ITPS programme. She has advised numerous B.Sc., M.Sc. and PhD projects and is PI or Co-PI of four ongoing grants: EmoQuest (SIR), EMPATHY (PRIN), FAIR-Spoke 6 (PnRR), and QualAI (PRIN 2022). Dr. Novielli serves on the editorial boards of Empirical Software Engineering and Journal of Systems and Software , has guest-edited special issues on affect awareness in SE, and has chaired tracks at ICSE, SANER, MSR, ICSME and SSBSE. She co-leads the Collaborative Development Group and actively releases datasets and open-source tools for the community.

Muhammad Asaduzzamanمشاهده پروفایل

استادیار

• Software Engineering
• Mining Software Repositories
• Empirical Software Engineering
• +۲ مورد دیگر

Muhammad Asaduzzaman is an Assistant Professor in the School of Computer Science within the Faculty of Science at the University of Windsor. His research focuses on software engineering, particularly software maintenance, mining software repositories, and recommendation systems for developers. Research interests span empirical studies of software artifacts, API usage analysis, and improving developer productivity through tools like COSTER for API element identification. Recent work examines dependency management in Maven ecosystems and AI-assisted code completion. Publications show consistent focus on analyzing developer activities through platforms like Stack Overflow and GitHub. Current investigations include LLM applications for code synthesis and technical debt impact analysis.

• Public Finance
• Local Government
• Fiscal Federalism
• +۳ مورد دیگر

Prof. René Geißler is a Professor of Public Administration at the Technical University of Wildau (TH Wildau). He holds a PhD in public law and local government from the University of Potsdam, where his doctoral thesis focused on municipal budget consolidation. Previously, he worked at the Bertelsmann Foundation for eight years, leading national and international fiscal policy research projects. His academic career includes roles as a research associate at the Hertie School in Berlin (2006-2012). Research interests center on municipal finance monitoring, federal fiscal relations, property tax reform, and addressing skilled labor shortages in public administrations. Key works include analyses of Germany's fiscal equalization mechanisms and case studies on infrastructure investment programs for childcare facilities. He frequently publishes in journals like Zeitschrift für Kommunalfinanzen and Verwaltung und Management . Recent media engagements include commentary on municipal fiscal crises for RBB Brandenburg, Der Tagesspiegel, and Die Welt. His applied research often informs policy debates through Bertelsmann Stiftung studies on topics like municipal debt management and workforce planning. Collaborative projects include co-editing Local Public Finance: An International Comparative Regulatory Perspective (Springer, 2021). Teaching focuses on public finance fundamentals, municipal budgeting systems, and cameralistic accounting practices. Active in academic networks, he contributes to EGPA conference panels on decentralized governance and financial supervision. Current research emphasizes sustainable fiscal strategies for municipalities facing demographic and economic challenges.

Michael Weyrichمشاهده پروفایل

استاد

• Industrial Automation
• Digital Twins
• Large Language Models (LLMs)
• +۷ مورد دیگر

Prof. Michael Weyrich is a faculty member at the Institute of Industrial Automation and Software Engineering (IAS) within the University of Stuttgart , leading the Cluster of Excellence IntCDC . His academic rank is Professor, and he focuses on Industrial Automation , Digital Twins , and Large Language Models (LLMs) for manufacturing and automotive systems. His research explores integrating LLMs into industrial automation for adaptive control, cloud offloading of vehicle functions, and semantic interoperability via Asset Administration Shells . He investigates modular production architectures , connected vehicle systems , and synthetic data generation for autonomous machinery. Recent publications highlight LLM-driven production planning , dynamic sensor calibration , and machine learning for fault detection in electric vehicle powertrains. His work emphasizes real-time data modeling and flexible microservice orchestration .