جست‌وجوی استاد و پژوهشگر

Abbas Heydarnooriمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence for Software Engineering (AI4SE)
• Software Analytics
• +۵ مورد دیگر

Abbas Heydarnoori is an Assistant Professor in the Department of Computer Science at Bowling Green State University (USA) since 2022, and previously held a faculty position at Sharif University of Technology (Iran) from 2012 to 2022. He earned his Ph.D. in Computer Science from the University of Waterloo (Canada, 2009), and M.Sc. and B.Sc. in Software Engineering from Sharif University of Technology (2001 and 1999). His research focuses on AI-driven software engineering (AI4SE/SE4AI), leveraging data science and AI to address challenges like fault localization, bug prediction, and code comprehension. He analyzes software repositories (e.g., GitHub, Stack Overflow) to improve developer productivity and software quality. He has contributed to tools like CrowdSummarizer and ExceptionTracer, and his work spans topics such as microservices architecture, API usage analysis, and code summarization. Teaching includes graduate/undergraduate courses on AI for Software Engineering, Database Systems, and Software Engineering. His service roles include editorial board membership at Science of Computer Programming , and PC membership in conferences like MSR, SANER, and FSE. His research group actively publishes on automated code analysis, documentation generation, and developer productivity tools, with a focus on empirical and data-driven approaches.

Hannah K. Bakoمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Design
• +۵ مورد دیگر

Hannah K. Bako is an Assistant Professor at the School of Data Science , University of Virginia, leading the ViDAR Lab . Her work bridges data visualization, human-computer interaction (HCI), and design, focusing on enhancing creativity through computational tools and example-aided workflows. Recruiting students for Fall 2026 Program Committee member for IUI'26, VISCOMM, and VIS'25 Research explores: How examples inspire visualization design processes Techniques to improve diversity in automated design generation Code augmentation strategies for D3.js authoring Semantic decomposition of visualization design workflows Teaching : Spring 2026 course DS 2003: Communicating with Data . Recent News : August 2025: Became Assistant Professor at UVA SDS July 2025: Two papers accepted at IEEE VIS'25 May 2025: Completed PhD dissertation defense

Mauro Pezzèمشاهده پروفایل

استاد

• Software Engineering
• Software Testing and Analysis
• Self-Adaptive Systems
• +۵ مورد دیگر

Mauro Pezzè is a Full Professor of Software Engineering at the Università della Svizzera italiana (USI) and Università di Milano Bicocca, leading the STAR research group since 2006. He holds a laurea from the University of Pisa and a PhD from Politecnico di Milano. His research focuses on software testing, analysis, self-adaptive systems, and cloud systems. He has held editorial roles, including Editor-in-Chief of ACM Transactions on Software Engineering and Methodologies (TOSEM), and served on numerous program committees. Education: Laurea (Pisa), PhD (Politecnico di Milano). Professional roles include Dean of the Faculty of Informatics at USI (2009-2013), visiting scientist at UC Irvine and Edinburgh, and technical lead for international projects. He co-authored a seminal book on software testing (Wiley, 2007), with over 670 citations. Research Interests: Software Testing, Self-Adaptive Systems, Cloud Computing, AI in SE, Sustainable Software. Projects include work on field-based testing, failure prediction in distributed systems, and neuro-symbolic approaches for test oracles. Grants and Advising: Led STAR Lab projects in self-healing systems, GUI testing, and semantic matching. Advised numerous PhD/postdoc students (e.g., Ciniselli, Di Grazia, Qiu). Collaborations with European tech firms on R&D initiatives. Labs/Teams: STAR Group at USI/Constructor Institute, Bicocca, and Politecnico di Milano. Current members include postdocs and PhD students working on AI-driven testing and cloud reliability.

Anja Feldmannمشاهده پروفایل

استاد

• Internet Measurement
• Network Performance Debugging
• Software-Defined Networking
• +۷ مورد دیگر

Anja Feldmann is Director at the Max Planck Institute for Informatics in Saarbrücken and Professor of Internet Network Architectures at Technische Universität Berlin (since 2006). Previously she held a full professorship at Technische Universität München (2002–2006) and conducted research at AT&T Labs Research , Saarland University , and Carnegie Mellon University , where she earned her Ph.D. in 1995. Education Ph.D. in Computer Science, Carnegie Mellon University, 1995 M.Sc. in Computer Science, Carnegie Mellon University, 1991 Diplom in Computer Science, Universität Paderborn, 1990 Research Interests Anja Feldmann’s research centers on measurement-driven understanding of the Internet. She tackles challenges such as software-defined networking , cloud-network interactions , performance debugging , and traffic characterization . A growing focus is the privacy and security of networked systems, evidenced by recent studies on online tracking, DNS security, and disinformation ecosystems. Her group designs scalable measurement platforms that combine passive and active monitoring , programmable data planes , and machine-learning analytics to dissect phenomena ranging from terabit-scale traffic to covert tracking on illegal streaming sites. Recent Publication Themes The 2021-2025 publications reveal a methodological evolution toward large-scale, longitudinal measurement . Topics include: Impact of global events (COVID-19, CrowdStrike outage) on Internet traffic Cross-country tracking ecosystems and privacy leaks DNS root and routing plane stability and security ML-driven real-time monitoring at terabit speeds Disinformation campaigns on encrypted messaging platforms Scientific Awards Gottfried Wilhelm Leibniz Prize (2011) – Germany’s highest research honor Berliner Wissenschaftspreis (2011) Elected Member of the German National Academy of Sciences Leopoldina (2009) Advising & Grants While individual student names are not listed, Prof. Feldmann leads a vibrant team at MPI-INF’s Internet Architecture department. She has supervised numerous doctoral candidates and post-doctoral researchers whose work is reflected in the co-authored papers. Funding sources include the German Research Foundation (DFG) via the Leibniz Prize and EU Horizon projects, although explicit grant numbers are not provided in the source material. Labs & Teams She heads the Internet Architecture department at MPI-INF, located at the Saarland Informatics Campus . The department operates state-of-the-art measurement infrastructure—including programmable switches, honeynets, and global vantage points—to support empirical network science.

Gul Calikliمشاهده پروفایل

مدرس

• Empirical Software Engineering
• Human Aspects in Software Development
• Program Comprehension
• +۲ مورد دیگر

Dr. Gül Calikli is a Lecturer in Software Engineering at the University of Glasgow specializing in empirical software engineering and human factors in software development. Her research investigates cognitive biases, code review practices, and human-centered aspects of software quality. Current work focuses on LLM-generated code evaluation, financial incentive design for software experiments, and variability management in software product lines. She develops methodologies to study developer behavior, team dynamics, and decision-making processes in software projects. Recent publications examine the impact of request formats on effort estimation, financial incentive guidelines for experiments, and vulnerability detection during code reviews. Her research bridges software engineering practice with cognitive psychology and organizational behavior. Dr. Calikli teaches software engineering courses and supervises research in human aspects of software development. She contributes to international collaborations on adaptive decision-support systems and privacy dynamics in social software.

Joe Deviettiمشاهده پروفایل

دانشیار

• Computer Architecture
• Parallel Programming
• Concurrency
• +۴ مورد دیگر

Joseph Devietti is an Associate Professor in the Department of Computer & Information Science at the University of Pennsylvania. His research focuses on improving programmability and performance of multiprocessor systems through architectural and programming model innovations. He actively advises PhD students and has supervised numerous graduates now employed at leading tech companies and academic institutions. Education: PhD (2012), MS (2009) in Computer Science and Engineering from University of Washington; BSE (2006) in Computer Science and BA (2006) in English from University of Pennsylvania. Employment: Associate Professor (2020–present), Assistant Professor (2013–2020) at University of Pennsylvania; Principal Scientist & Co-founder at Cloudseal, Inc. (2018–2020). Devietti’s research spans computer architecture, parallel programming, and deterministic execution. Key areas include cache/memory optimization (prefetching, false sharing repair), GPU programming models (race detection, block-size independence), and hardware-software co-design for concurrency safety. His recent work addresses dynamic runtime prefetch tuning (RPG 2 ), online code layout optimization (OCOLOS), and intelligent BTB prefetching (Twig) for data center applications. His publications from 2024–2017 reveal trends in instruction/cache optimization (2024–2020), GPU determinism (2018–2017), and race detection (2018–2016). Awards include the 2024 Penn Engineering Ford Motor Company Award, Radhia Cousot Best Paper (2018), and IEEE Micro Top Picks recognition (2023, 2009, 2008). Scientific Awards : 2024 Penn Engineering Ford Motor Company Award Radhia Cousot Young Researcher Best Paper Award (SAS 2018) IEEE Micro Top Picks (2023, 2009, 2008) Intel Early Career Faculty Honor Program (2013) Intel Ph.D. Fellowship (2011) Advising : Supervised 15+ PhD/Master’s students with placements at Google, Microsoft, Amazon, NYU, and the United States Naval Academy. Collaborations : Works with industry leaders (NVIDIA, Facebook) and academic institutions (University of Washington, Penn).

• Software Evolution
• Software Libraries
• APIs
• +۵ مورد دیگر

Thomas Degueule is a CNRS researcher in the Software Engineering group at LaBRI (Bordeaux, France). His research focuses on software evolution , modularity , and comprehension , with a particular emphasis on software libraries , APIs , software ecosystems , and domain-specific languages (DSLs) . Prior to his current role, he worked as a postdoctoral researcher at CWI (Amsterdam) and earned his PhD at IRISA (Rennes, France). Research Themes : Software evolution, API analysis, dependency management, empirical software engineering, DSL engineering Projects : ANR JCJC ALIEN (PI), H2020 CROSSMINER (WP leader), ALE (associate member), LEOC Clarity (member), ANR INS GEMOC (member), ITEA2 MERgE (member) Software Tools : Roseau, Maracas, BreakBot, Melange, Eclipse GEMOC Studio, K3, Alex, Scava His recent publications highlight trends in API breaking changes , dependency evolution , DSL interoperability , and automated software analysis (see articles list for details). He also contributes to software education through tools like MOON and Immediate Feedback for Jupyter Notebooks. Thomas has supervised PhD students including Gustave Monce (University of Bordeaux), Lina Ochoa (now assistant professor at Eindhoven University), Corentin Latappy (post-doc at University of Bordeaux), and Christophe Casseau (lecturer at University of Bordeaux). He actively participates in academic service, serving on program committees for conferences such as ICSE , ASE , ICSME , ISSTA , and SLE , and organizing workshops like SLEBoK and MLE 2021 .

Ruben Martinsمشاهده پروفایل

استادیار

• Constraint Programming
• Program Synthesis
• Formal Verification
• +۳ مورد دیگر

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

Cristina Gacekمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Computer Science
• Software Architecture
• +۵ مورد دیگر

Dr Cristina Gacek is a Senior Lecturer in Dependability and Trustworthiness of Socio-technical Systems at City St George's, University of London, since February 2010. Previously, she worked as a Lecturer at Newcastle University (2002-2010) and held research roles at Newcastle University (2001-2002), University of Southern California (1993-1998), and Rensselaer Polytechnic Institute (1992). Education: PhD in Computer Science, University of Southern California (1998) MSc in Software Engineering, University of Southern California (1995) MSc in Computer Science, Rensselaer Polytechnic Institute (1992) BSc in Mathematics with specialization in Informatics, Universidade do Estado do Rio de Janeiro (1989) PGCert in Teaching, Newcastle University (2004) Research Interests: Cristina's research focuses on facilitating the design, development, and evolution of dependable computer-based systems. She explores software architecture theory, software reuse, component-based software engineering, software product lines, open source software, and the psychological and sociological factors in software engineering environments. Her work bridges core computing science with interdisciplinary perspectives. Publications: Her research trends emphasize software architectures for dependable systems, mismatch detection in component-based systems, self-adaptive systems, and interdisciplinary approaches to open source software development. She has contributed to books, journal articles, and conference proceedings on these topics. Professional Memberships: Member of IEEE (1995–present) and ACM (1995–present).

• Computer Science
• Electrical Engineering
• Machine Learning
• +۷ مورد دیگر

Andrew Ho is an active academic researcher with publications spanning computer science, electrical engineering, and interdisciplinary applications. His recent work focuses on hybridizable discontinuous Galerkin methods for plasma simulations (2024) and AI/LLM applications in scholarly knowledge organization. 2025: Project Alexandria (LLM for copyright-free knowledge) 2024: Hybridizable DG plasma methods, GPU-accelerated kinetic simulations 2023: Low-resource translation techniques 2022: Multimodal VR interfaces 2003-2006: High-speed serial link transceivers and radiography artifact detection His research interests include: Computer science applications in plasma physics and medical imaging LLM-based scholarly knowledge graphs and literature reviews High-speed communication systems Educational technology implementations Co-authors include Vladimir Stojanovic (Stanford, 2003-2005), Carl W. Werner (2003-2005), and Genia Vogman (GPU plasma simulations, 2024).

Claire Le Gouesمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Program Analysis
• +۹ مورد دیگر

Claire Le Goues is an Associate Professor in the School of Computer Science at Carnegie Mellon University , affiliated with the Software and Societal Systems Department (formerly Institute for Software Research). She holds a Ph.D. and M.S. in Computer Science from the University of Virginia and a B.A. in Computer Science from Harvard College. Her research focuses on software engineering with emphasis on program analysis , transformation , and search-based repair . She leads the squaresLab group and co-directs the REUSE@CMU summer program. Her work spans automated program improvement (stochastic/formal approaches), software assurance, quality metrics, and systems from open source to robotics. Recent scientific awards include the ACM FSE 2025 Test of Time Award Honorable Mention and the Presidential Early Career Award for Scientists and Engineers (PECASE) . She mentors students in software engineering and actively collaborates on projects like SearchRepair and GenProg , supporting empirical benchmarks such as ManyBugs and IntroClass . She teaches software engineering and program analysis at undergraduate, master’s, and doctoral levels, addressing challenges in scaling modern systems. Her lab focuses on software repair , code transformation , and AI-driven testing .

Felix Heiselمشاهده پروفایل

استادیار

• Circular Economy
• Sustainable Architecture
• Material Reuse
• +۷ مورد دیگر

Felix Heisel is an Assistant Professor and Director of the Circular Construction Lab at Cornell University's College of Architecture, Art, and Planning. He serves as a faculty fellow at the Cornell Atkinson Center for Sustainability and holds graduate field membership in architecture, systems engineering, and matter design computation. A licensed German architect and partner of 2hs Architekten und Ingenieur PartGmbB, his work focuses on systemic redesign of the built environment as a material depot for endless reuse. He has received multiple awards for his contributions to circular economies and sustainable design. Education: Graduated from the Berlin University of the Arts. Teaching: He has taught at institutions worldwide, including ETH Zürich, Harvard GSD, and the Ethiopian Institute of Architecture. Research: Specializes in adaptive reuse, alternative materials, and circular economies, with publications including Building Better – Less – Different: Circular Construction and Circular Economy (2022) and Urban Mining und kreislaufgerechtes Bauen (2021). Research Interests : Circular construction systems, material depot frameworks, urban mining, and sustainable architectural design. His work bridges theory and practice through prototypological research and collaborative design approaches. Awards : Recipient of the German Green Solutions Award (2020/21), MaterialPREIS (2019), and Zumtobel Group Award (2014). His work has been exhibited globally, including at the Venice Biennale and Seoul Biennale of Architecture and Urbanism. Grants & Labs : Directs the Circular Construction Lab (CCL), developing tools like the RhinoCircular software. Engaged in interdisciplinary projects addressing sustainability and material innovation in built environments.

Katsuro Inoueمشاهده پروفایل

استاد

• Software Engineering
• Program Analysis
• Code Clone Detection
• +۵ مورد دیگر

Katsuro Inoue is a Professor at Ritsumeikan University within the College of Information Science and Engineering. He holds a Dr. degree of Engineering from Osaka University (1984) and specializes in Software Engineering with a focus on Program Analysis , Code Clone Detection , Software Ecosystem Analysis , and Process Modeling . His work includes developing systems like CCFinder for code clone analysis and SPARS for software component significance ranking. Research Interests Program Analysis: Code Clone Analysis, Origin and Evolution Analysis, Software Ecosystems, Bug Detection, Analysis Tools and Algorithms Program Reuse: Code Search Engines, Program Archives, Searching Mechanisms Software Process: Process Modeling, Process Centered Environments, Process-Based Metrics, Quality Standards Key Publications Code Clone Analysis (2021), Library Dependency Updates (2018), Code Clone Tracking in Open Source (2012), Distributed Code Clone Detection (2007), Software Component Significance Ranking (2005), Compiler Garbage Collection (1991), Code History Tracking (2012) Professional Activities Program Committee Member in over 20 conferences (ICSE, IWPSE, PROFES) Editorial Board Member for IEEE Transactions on Software Engineering Co-Chair of multiple workshops (IWSC, IWPSE) Reviewer for SEC Journal Teaching Course: System Architect Course Developed course materials for Compiler Design and Language Processing Created exam problems and optimization examples for language processing courses

• Innovation Management
• Knowledge Management
• Agile Project Management
• +۴ مورد دیگر

Dr. David Baxter is an Associate Professor of Innovation at Southampton Business School and a Visiting Fellow at Cranfield School of Management . His work spans innovation management , knowledge reuse , and agile methodologies , with a focus on safety-critical systems and public-sector IT . He has taught MBA , Doctoral , and Master’s courses and presented to international conferences , government leaders , and corporate executives . His research interests include: Innovation processes (e.g., serendipity in NPD, ambidexterity in safety-critical software) Knowledge management (e.g., sustainability-oriented innovation metrics, lessons learned systems) Agile frameworks (e.g., ECSS compliance, institutional challenges in public sector) His publications reveal trends in agile compliance , knowledge integration , and innovation policy , with recent work on generative AI and technology readiness . He has collaborated with organizations like Rolls-Royce , MBDA , and Edwards , and his methodological expertise includes systematic reviews , AHP analysis , and Lego Serious Play validations.

• Cybersecurity
• Machine Learning for Security
• IoT Security
• +۵ مورد دیگر

Dr Raja Akrom is a Senior Lecturer in the Department of Computer Science , School of Natural and Computing Sciences , University of Aberdeen since July 2020. Previously, he held research positions at Royal Holloway, University of London (Post Doctoral Research Assistant), University of Waikato (Research Fellow), and Edinburgh Napier University (Senior Research Fellow). PhD in Information Security from Royal Holloway, University of London MSc in Information Security and Computer Science from Royal Holloway and University of Agriculture, Faisalabad BSc in Mathematics and Physics from University of the Punjab His research focuses on user-centric applied security and privacy architectures , data ownership in heterogeneous computing , security for machine learning , and security in emerging technologies such as blockchain, UAVs/drones, and autonomous vehicles. Key technical interests include smart card security, cryptographic protocols, IoT security, and Trusted Execution Environments. The article list reveals expertise in: edge computing security (DECML 2025), medical AI applications (2024), embedded device ownership (CO-TSM 2024), NFC transaction security (2024), and malware detection with ML (2024). Earlier work explored UAV security , blockchain governance , and smart card protocols . Currently teaching courses in Operating Systems , Secure Software Design , and Enterprise Security Architecture . Supervises postgraduate MSc Cybersecurity program.