Find Academic Supervisors

Jasmin JahicView profile

Researcher

• Concurrent Computing
• Software Engineering
• Embedded Systems
• +3 more

Jasmin Jahic is a Researcher at the Computer Architecture Group of the University of Cambridge, working under Timothy M. Jones. She holds a PhD in 'Supervised Testing of Embedded Concurrent Software' from the University of Kaiserslautern (2020) and has extensive experience as a researcher and project manager at the Fraunhofer Institute for Experimental Software Engineering. Her research focuses on concurrency in embedded systems, software engineering, AI integration, and low-power systems. Education: PhD in Computer Science from the University of Kaiserslautern (2020). Prior roles include Project Manager at Fraunhofer IESE and Coordinator of the European Master Program in Software Engineering. Research Interests: Concurrent computing, embedded systems architecture, AI applications in software engineering, and low-power system design. She explores concurrency bugs, synchronization mechanisms, and software architecture evolution in the context of Industry 4.0 and autonomous systems. Professional Activities: Co-Organizer of SAMOS workshops (2018–2021), Reviewer for IEEE/ACM conferences, and contributor to European Strategic Research Agendas for embedded systems. Teaches courses on software architectures for embedded systems and supervises numerous graduate students. Key Contributions: Frameworks like BOSMI for multithreaded software testing, FERA for concurrency bug detection, and research on AI adoption in traditional embedded systems. Active in HiPEAC conferences and industry partnerships.

Rocco OLIVETOView profile

Professor

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +7 more

Prof. Rocco OLIVETO is a Full Professor at the University of Molise, affiliated with the School of Biosciences and Territory. His research spans software engineering, artificial intelligence, cybersecurity, and healthcare technology. He focuses on empirical studies of developer practices, AI-driven code analysis, vulnerability detection in smart contracts, and human-centric computing. His work also addresses challenges in game development, mobile app optimization, and wearable health monitoring systems. Notable research areas include code readability assessment, machine learning applications in healthcare diagnostics, and the effectiveness of AI tools like GitHub Copilot. He has contributed to projects like QualAI (continuous quality improvement for AI systems) and 2Vita-B (cognitive and physical rehabilitation systems). His empirical studies often bridge academic research with real-world developer workflows, emphasizing practical applicability. Prof. Oliveto's recent work explores topics such as automated gameplay analysis for game debugging, detection of engagement issues in video games, and robust methods for identifying security vulnerabilities. He has also investigated Dockerfile quality, developer frustration metrics, and the ethical implications of AI in administrative document simplification.

Jack MostowView profile

Research Professor

• Educational Technology
• Artificial Intelligence
• Natural Language Processing
• +3 more

Jack Mostow is a Research Professor affiliated with the Human-Computer Interaction Institute at Carnegie Mellon University. His work focuses on educational technology, artificial intelligence, and natural language processing. He is renowned for developing Project LISTEN's automated reading tutor that listens to children's oral reading, integrating speech recognition and machine learning to improve literacy. His research addresses challenges in child literacy, automated assessment, and the application of AI in education. Key contributions include advancing speech recognition accuracy for children’s voices, designing adaptive tutoring systems, and exploring EEG and visual features to gauge learning states. He has contributed to global education initiatives, such as the XPRIZE field study, and developed tools for iterative improvement of intelligent tutoring systems. His work emphasizes scalable educational technologies for under-resourced regions and data-driven approaches to enhance learning outcomes. Mostow’s publications span over two decades, addressing topics like reinforcement learning for instructional policies, semi-supervised affect perception, and difficulty-controllable question generation. His research bridges AI, education, and human-computer interaction, aiming to create systems that adapt to learners’ needs while advancing computational methods for educational analytics.

Pedro FonsecaView profile

Assistant Professor

• Computer Security
• Operating Systems
• Distributed Systems
• +4 more

Pedro Fonseca is an Assistant Professor at the Department of Computer Science, Purdue University. He leads the Reliable and Secure Systems Lab, focusing on building reliable and secure core software systems such as operating systems, hypervisors, and distributed systems. His research has been recognized with awards including the NSF CAREER Award and Google Faculty Research Awards. Before Purdue, he completed a postdoc at the University of Washington, working with Arvind Krishnamurthy, Hank Levy, and Xi Wang. He earned his PhD from MPI-SWS and the University of Saarland under Rodrigo Rodrigues. His academic contributions span over 30 peer-reviewed publications in top-tier conferences like SOSP, OSDI, EuroSys, and ASPLOS. He teaches courses including CS503 (Operating Systems), CS592 (Reliable and Secure Systems), and CS408 (Software Testing). He actively serves on program committees for major systems conferences including SOSP, OSDI, EuroSys, and ASPLOS.

• Educational Psychology
• Emotion
• Motivation
• +4 more

Reinhard Pekrun is a leading Professorial Fellow at the Institute for Positive Psychology and Education , Faculty of Education and Arts. His research focuses on academic emotions , control-value theory , and their interplay with motivation , student engagement , and educational achievement . He has pioneered frameworks like the Achievement Emotions Questionnaire (AEQ) and its adaptations for diverse populations. Key Research Areas : Academic emotions, boredom, motivation theory, emotional self-regulation, cross-cultural educational psychology Methodological Expertise : Longitudinal studies, experience-sampling methods, network analysis, cross-national comparisons Recent publications explore test boredom , emotional contagion in classrooms, and control-value theory as a general model for human emotions. Collaborations span institutions across 72 societies, with methodological synergies in self-concept research and emotional measurement . Awards and grants include international trials on mental well-being apps and large-scale studies on peer victimization.

Kim WarrenView profile

Associate Professor

• United States History
• African American and Native American Education
• Women's History
• +4 more

Kim Warren is Associate Professor of History at the University of Kansas and currently serves as Vice Provost for Undergraduate Education. Her scholarship focuses on intersections of United States history , African Diaspora identity , and gender/racial analysis in educational contexts. Ph.D. and M.A. from Stanford University B.A. from Yale University Research spans Black and Native American education in Kansas, citizenship studies , and transnational feminist movements . Notable works include The Quest for Citizenship (2010) and co-editorship of Unequal Sisters (5th ed., 2023). Recent publications analyze Mary McLeod Bethune 's legacy and Indigenous feminist methodologies . Articles address colonial memory (Atlantic slave trade, Pacific nuclear testing), gendered labor (enslaved wet nurses, Japanese immigrant farm work), and transnational activism (Puerto Rican decolonization, Black Panther gender equity). Spencer Foundation Grant Woodrow Wilson Fellowship Fulbright's Danish Distinguished Chair (2015) American Philosophical Society Support Teaches U.S. Women's History , Indigenous history , and 19th century gender studies . Primary advisor for honors undergraduates and Ph.D. candidates in History. Courses include History of Women in America , Graduate Colloquia on Gender History , and Indigenous Peoples of North America .

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +7 more

Vahid Behzadan is an Assistant Professor in Data Science and Computer Science at the University of New Haven's Tagliatela College of Engineering. He leads the SAIL Lab, focusing on AI safety and security, particularly in autonomous systems like driverless cars and smart cities. His work addresses adversarial attacks on machine learning and reinforcement learning, with applications in cybersecurity and healthcare. Behzadan has held prior positions at Kansas State University, University of Nevada Reno, and University of Birmingham, UK. He holds a Ph.D. in Computer Science and an M.S. from the University of Nevada Reno, and a B.Eng. from the University of Birmingham. His research spans AI ethics, cybersecurity, and complex systems. Behzadan advises the UNH hacking team and actively participates in policy initiatives, including Connecticut's AI Working Group and the Connecticut AI Alliance. He has contributed to over 30 peer-reviewed articles and frequently engages in media discussions on topics like AI safety, facial recognition, and cybersecurity threats. Key research areas include adversarial machine learning, AI forensics, and ethical AI design. His work bridges theoretical advancements with real-world applications in transportation, healthcare, and national security. Behzadan collaborates with organizations such as the Transportation Research Laboratory (TRL) and Open Web Application Security Project (OWASP).

Abbas HeydarnooriView profile

Assistant Professor

• Software Engineering
• Artificial Intelligence for Software Engineering (AI4SE)
• Software Analytics
• +5 more

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.

DUYGU KOÇAKView profile

Associate Professor

• Measurement and Evaluation in Education
• Educational Statistics
• Assessment Methods
• +3 more

Assoc. Prof. Duygu Koçak is an academic at Alanya Alaaddin Keykubat University's Faculty of Education, specializing in Measurement and Evaluation in Education. She holds a Ph.D. from Ankara University (2016) and conducted postdoctoral research at the University of Toronto (2018-2019). Her roles include Associate Professor, Department Head, and Deputy Head of Department at her current institution. Her research focuses on educational measurement, psychometrics, and statistical methodologies in education. Her academic journey includes positions at Adıyaman University (2014-2016) and lecturing roles since 2016. She has authored/co-authored over 30 peer-reviewed articles on topics like test validity, Monte Carlo simulations, and learning disabilities. Notable works include the 'Academic Jealousy Scale' (2019) and studies on homework impact (2020). Dr. Koçak has contributed to edited volumes on data analysis and measurement tools. She serves as a referee for journals like the Journal of Measurement and Evaluation in Education and Psychology and has presented at international conferences on educational statistics and assessment.

Mauro PezzèView profile

Professor

• Software Engineering
• Software Testing and Analysis
• Self-Adaptive Systems
• +5 more

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.

Abbas EdalatView profile

Professor

• Computer Science
• Mathematics
• Exact Computation
• +7 more

Abbas Edalat is a Professor of Computer Science and Mathematics at Imperial College London, and an Adjunct Professor at the Institute for Research in Fundamental Sciences, Tehran. He leads two research groups: Algorithmic Human Development and Continuous Data-Types and Exact Computation. His work spans computational mathematics, psychotherapy models, and exact real-number computation. Notably, he received the LICS 2017 Test-of-Time Award for foundational contributions to logic in computer science. Research interests include self-attachment psychotherapy, computational differential calculus, topology, and bisimulation in probabilistic systems. He has pioneered exact computation frameworks for real numbers, geometry, and dynamical systems, with applications in neuroscience and artificial intelligence. Professional activities include keynote talks at conferences like IJCNN and workshops on psychotherapy in Iran and the UK. Teaching includes advanced courses on dynamical systems, quantum computing, and computational techniques. He advises PhD students globally and chairs initiatives like the Science and Arts Foundation to expand educational access in developing nations. His interdisciplinary work bridges mathematics, computer science, and clinical psychology.

Marie Tejero HughesView profile

Professor

• Special Education
• Literacy Instruction
• Bilingual Education
• +4 more

Marie Tejero Hughes is a Professor in Special Education at the University of Illinois at Chicago , focusing on graduate literacy instruction for educators in urban communities. Her work centers on comprehension strategies for culturally/linguistically diverse students and Latino family engagement . PhD in Reading and Learning Disabilities MSEd in Elementary Education BSEd in Early Childhood/Elementary Education Her research examines: Spanish literacy interventions for English learners Teacher leadership in special education MTSS/PBIS implementation in high-need schools Latinx family perspectives on autism education Coaching models for literacy development Recent publications highlight: Teacher leadership frameworks Bilingual literacy outcomes Latinx family expertise in math education Parent training programs in Colombia Technology-enhanced play interactions She has directed multiple US Department of Education grants focused on special education teacher recruitment and retention, and frequently collaborates with Colombian researchers on autism family support systems.

Laura M. StapletonView profile

Professor

• Multilevel Modeling
• Survey Methodology
• Educational Statistics
• +3 more

Laura M. Stapleton is Chair of the Department of Human Development and Quantitative Methodology and a Professor at the University of Maryland’s College of Education. She previously served as Interim Dean and Associate Dean for Research, Innovation, and Partnerships. Her academic roles include leadership in the NSF-funded Quantitative Research Methods Scholars Program (2019–2025) and membership on Maryland’s Accountability and Implementation Board for education reform. Education Background: Ph.D. in Measurement, Statistics, and Evaluation from the University of Maryland. Prior to academia, she worked as an economist at the Bureau of Labor Statistics and in educational research roles at the American Association of State Colleges and Universities and the University of Maryland’s institutional research department. Research focuses on complex survey data analysis, multilevel latent variable models, and mediation testing. Key interests include administrative data utilization, STEM education equity, and policy evaluation. Her work emphasizes bridging statistical rigor with practical educational challenges. Publications span methodological advancements in multilevel modeling, synthetic data strategies, and the integration of administrative datasets. Recent work addresses school-based prevention study attrition and the design effects of multilevel samples. Awards include AERA Fellowship (2023), election as President of the Society for Multivariate Experimental Psychology (2025), and recognition for mentoring and teaching excellence. She has led over $10M in grants, including NSF-funded initiatives to train early-career STEM equity researchers. Current projects include the BCSER Quantitative Research Methods Program (2022–2025) and collaborations on arts education impacts and intergroup relationship interventions. She advises on state-level longitudinal data systems and chairs the Maryland State Longitudinal Data System Center’s Research Branch (2013–2018).

Kristen Di GennaroView profile

Associate Professor

• Applied Linguistics
• Writing Assessment
• Sociolinguistics
• +9 more

Kristen Di Gennaro is an Associate Professor in the Department of English at Pace University's Dyson College of Arts and Sciences, New York City. She holds an EdD in Applied Linguistics from Columbia University and has been actively contributing to research and teaching in second language writing, language assessment, and sociolinguistics. Her research interests include: Written corrective feedback and its impact on L2 writing Fairness in writing assessment and placement Language and gender, including microaggressions and catcalling Predatory publishing practices ('spamvitations') Sociopragmatic features in academic writing Generation 1.5 and international student writing Her recent publications, appearing in top-tier journals such as Journal of Second Language Writing , College Composition and Communication , and ELT Journal , reflect a strong focus on equity, pedagogy, and the sociopolitical dimensions of language use. Her work often bridges applied linguistics with composition studies, emphasizing empirical research and curriculum innovation. She has received several honors, including: Finalist, Christopher Brumfit Thesis Award (2012) Pace University Outstanding Contribution Award (2006) New York State TESOL Teacher of the Year (2004) Professionally, she has served as Director of Composition and Interim Director of the Writing-Enhanced Course Program. She is an active reviewer for journals such as College Composition and Communication , Assessing Writing , and Language Teaching Research , as well as for publishers like Oxford University Press. She has also secured internal research grants, including the Provost's Grant for the Thinkfinity Initiative. She teaches a wide range of undergraduate courses in composition, linguistics, and language and society, including ENG 110, ENG 201 (Writing in the Disciplines), ENG 300 (Language and Gender), and independent studies.

• German as a Foreign Language
• German as a Second Language
• Plurilingual Literacy
• +3 more

Triantafyllia Liana Konstantinidou serves as a Professor of German as a Foreign and Second Language at the Institute of Language Competence , Zurich University of Applied Sciences (ZHAW). Her work bridges academic research with practical applications in vocational education contexts. Current Affiliation: Director of European Literacy Network (2023-2028) Advisor to Internationaler Verband für Deutschlehrer:innen (IDV) since 2021 Her research focuses on vocational literacy , plurilingual competence development , and technology-enhanced language learning . Key projects include: Digital Literacy Skills (completed 2024) Literacy for Entrepreneurship (completed 2024) Integrated Reading-Writing Support (completed 2024) Recent publications analyze writing competence profiles in vocational contexts and explore scenario-based literacy education across diverse professional fields. Her work demonstrates strong connections between corpus linguistics , language testing , and educational policy .