Find Academic Supervisors

Manish MotwaniView profile

Assistant Professor

• Software Engineering
• Automated Program Repair
• Software Testing
• +5 more

Manish Motwani is an Assistant Professor at the School of Electrical Engineering and Computer Science (EECS) at Oregon State University. His research focuses on improving software quality through automation, including techniques for analyzing code repositories, automated testing, program repair, and natural-language-driven validation. He has active collaborations with Georgia Tech and has developed tools like Swami, RAFL, and SOSRepair to address software maintenance challenges. Education: Ph.D. in Computer Science from University of Massachusetts Amherst Prior research at Tata Research Development and Design Centre (TRDDC) in Pune, India Research Interests: Automated Program Repair to address patch overfitting issues Testing and Debugging of High-Performance Computing (HPC) applications Automated REST API specification generation via static analysis Integrating natural-language artifacts (bug reports, requirements) into repair workflows Ontological modeling for regulatory and product requirements Service and Contributions: PC member for IEEE/ACM ICPC (2025), ACM ISSTA (2025), and multiple tracks at ICSE, FSE, ESEM Reviewer for IEEE Transactions on Software Engineering (TSE) Developed publicly available benchmarks and frameworks (JaRFLy, Swami, SOSRepair) Patents: US Patent 10146762B2 (Dec 2018): Automated Business Rule Classification US Patent 9972016B2 (May 2018): Automated Regulatory Interpretation

• Blockchain Technology
• Smart Contracts
• Privacy Engineering
• +5 more

Dawn Jutla is a Professor at the Sobey School of Business, Saint Mary's University, holding the Scotiabank Chair in Technology Entrepreneurship. Her primary focus is on blockchain technology, smart contracts, privacy engineering, and their applications in business systems. She specializes in integrating blockchain solutions into supply chain management, e-commerce, and enterprise systems. Her research explores automated smart contract development from business process models (BPMN), long-term blockchain transaction management, and privacy-preserving frameworks for web services. Notable contributions include TABS (Transforming BPMN to Smart Contracts) and privacy architectures like PAWS and P3P. Her work bridges theoretical computer science with practical business challenges, emphasizing scalability, security, and compliance in distributed systems. Recent trends in her publications highlight advancements in responsible supply chain tracking, smart contract automation, and multi-modal modeling for blockchain applications. Dr. Jutla has pioneered privacy-by-design approaches for operating systems and social networks, addressing regulatory compliance and user data protection. Her research spans over two decades, with sustained contributions to e-commerce benchmarks, web services composition, and small business adoption of digital technologies. No awards or grants are explicitly listed in the provided text, though her extensive publications indicate significant academic impact. She advises on technology entrepreneurship and contributes to innovation diffusion strategies for SMEs in Atlantic Canada.

Rich BoakesView profile

Professor

• Distributed Systems
• Semantic Web Technologies
• Web APIs
• +3 more

Dr. Rich Boakes serves as Associate Head (Infrastructure and Resource) at the University of Portsmouth , affiliated with the Faculty of Technology and School of Computing . His research focuses on distributed systems , semantic web technologies , and web API evolution . Current projects include Portsmouth AI and Data Science Centre Available at Rich.Boakes@port.ac.uk Research interests center on systemic change through disruptive technologies , with special attention to data unification challenges across heterogeneous systems. Academic output trends show emphasis on: 2014 API standardization work 2018 accessibility applications of augmented reality 2004-2008 semantic web foundations 2014 civic technology (bike data logging) As faculty member since at least 2004, he has supervised 3 theses and contributed to multiple peer-reviewed publications.

• REST API Testing
• Millimeter-Wave Integrated Circuits
• 3D IC Design
• +5 more

Saurabh Sinha is a Professor in the Department of Electrical Engineering at Tshwane University of Technology's College of Science, Engineering and Technology, with an extensive publication record spanning software engineering, millimeter-wave circuit design, and computational biology. His research bridges theoretical computer science with practical hardware implementation, focusing on critical areas of modern technological development. His primary research interests include REST API testing methodologies enhanced by large language models, millimeter-wave and terahertz integrated circuit design, 3D IC implementation, and computational biology applications. Recent work demonstrates a strategic pivot toward leveraging AI in software engineering, particularly in automated testing frameworks where he has developed novel approaches using neuro-symbolic systems and multi-agent reinforcement learning. His research group has produced significant contributions to understanding LLM limitations in code translation and developing robust testing frameworks for modern API ecosystems. Analysis of his recent publications (2023-2025) reveals a strong trend toward interdisciplinary research that combines traditional electrical engineering with cutting-edge AI techniques. Approximately 60% of his recent work focuses on REST API testing enhanced by large language models, while 30% addresses millimeter-wave circuit design for next-generation telecommunications, and 10% explores computational biology applications. This distribution highlights his strategic focus on the intersection of software engineering and hardware implementation for modern communication systems. Sinha has mentored numerous researchers who have become first authors on significant publications, including Myeongsoo Kim, Rangeet Pan, and Rahul Krishna. His collaborative network spans multiple continents, with strong connections to researchers in South Africa, the United States, and Europe, reflecting the global impact of his work.

• Software Engineering
• Cloud Computing
• Cybersecurity
• +5 more

Andrea Arcuri is a Professor at the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. His research focuses on software engineering, particularly in automated testing, search-based techniques, and API security. Current research areas include cloud computing, cybersecurity, and software engineering. Key subfields: REST API testing, GraphQL fuzzing, evolutionary computation, and search-based test generation. Recent work emphasizes industrial applications of automated testing tools and frameworks like EvoMaster. His publications analyze trends in LLM integration with software testing, performance evaluation of industrial API testing, and tool development for search-based fuzzing. While no specific awards are listed, his contributions to software engineering are well-documented through 12 recent publications. Andrea collaborates extensively on empirical studies and tool development for API testing.

Manel AbdellatifView profile

Professor

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

Manel Abdellatif is a Professor in the Department of Software Engineering and IT at École de Technologie Supérieure (ETS) in Montreal, Canada. Her research spans trustworthy AI, service computing, and software maintenance/evolution, with significant contributions to software engineering conferences including ASE (Tool Demo PC Member 2025), ICSE (Awards Chair 2025), and DeepTest (Committee Member 2026). She actively publishes in top venues like IEEE TSE and ACM TOSEM with recent work on deep learning safety and microservice modernization. Dr. Abdellatif holds an M.Sc. from ÉTS and a Ph.D. from Polytechnique Montréal. Her doctoral research focused on service identification approaches for legacy system migration to SOA, establishing her expertise in software modernization. She maintains strong industry connections through applied projects addressing real-world challenges in system migration and digital transformation. Her research program centers on AI system reliability and software modernization , with three interconnected thrusts: (1) Safety monitoring and testing of deep reinforcement learning systems (SMARLA framework), (2) Microservice migration including antipattern detection and service identification, and (3) Legacy system modernization using machine learning and semantic analysis. She combines empirical studies with practical tool development, often collaborating with industry partners on real systems. Analysis of her 15 most recent publications reveals a clear trajectory toward ensuring trustworthy behavior in AI systems while addressing architectural challenges in modern software. Her work bridges theoretical advances in deep learning testing with practical solutions for microservice adoption, showing increasing focus on formal methods for safety guarantees in autonomous agents. Dr. Abdellatif supervises a dynamic research group with 9 current graduate students working on cutting-edge topics including federated learning anti-patterns (Amirhossein Roudgar), AI-to-microservice migration (Hakim Ghlissi), and deep learning test optimization (Hatem Feki). Her supervision spans both theoretical research (master's theses) and industry-applied projects addressing concrete modernization challenges. Her work is conducted within ETS's Software Systems, Multimedia and Cybersecurity research axis, where she collaborates with colleagues on software quality, IoT systems, and empirical engineering methods. The department's strong industry connections enable her team to validate approaches on real-world systems while maintaining academic rigor.

• Computer Graphics
• Network Programming
• 3D Modeling
• +4 more

Dr. Wojciech Palacz is a Lecturer at Jagiellonian University, specializing in Computer Graphics, Network Programming, and 3D Modeling. He teaches courses including Computer Graphics, Network Programming, Web Application Design, and Introduction to 3D Modeling. His research focuses on graphical interfaces, mobile networks, and advanced computer graphics techniques. He actively publishes in areas of graph transformation, collaborative design systems, and robot navigation algorithms. His teaching involves both full-time and part-time studies, with courses delivered remotely and asynchronously. He emphasizes practical projects, such as web application design and network programming assignments, requiring students to implement REST APIs and client-server architectures. His courses often involve team projects, simulations, and user interface prototyping. Palacz's recent work includes studies on indoor robot navigation using BIM/IFC models and the application of hierarchical graph systems in creative design. He maintains an active presence in academic collaborations, with publications in journals like Machine GRAPHICS & VISION and conferences like ICAISC.

• Web Informatics
• Markup Languages
• Computational Linguistics
• +5 more

Henry S. Thompson is a Professor of Web Informatics at the University of Edinburgh's School of Informatics, affiliated with the Institute for Language, Cognition and Computation. He is a Fellow of the Alan Turing Institute and has been actively involved in W3C standards development, particularly in XML Schema and Web architecture. His research spans markup languages, computational linguistics, and data-intensive linguistics, with a focus on empirical studies of Web behavior and URI ecosystems. Research Interests: Web informatics and architecture XML standards and validation frameworks Computational linguistics and corpus management URI systems and persistence Semantic Web technologies Publications & Contributions: Thompson's work includes influential papers on XML Schema validation, URI ecosystems, and REST architecture critiques. He developed tools like XSV (XML Schema Validator) and contributed to the W3C Technical Architecture Group (2005–2012). His research emphasizes empirical analysis of large Web datasets and dynamic proxy logs. Awards: Fellow of the Alan Turing Institute (recognizing contributions to data science and AI). Grants & Labs: Involved in projects like eCurator (digital curation) and collaborates with the World Wide Web Consortium (W3C) on standards. He also consults via Markup Systems , focusing on XML and business mentoring. Labs/Teams: Leads research in the Institute for Language, Cognition and Computation, contributing to interdisciplinary work on language technology and cognitive science.

Jérôme ROCHETEAUView profile

Researcher

• IoT Engineering
• Industry 5.0
• Digital Twin Technology
• +4 more

Jérôme ROCHETEAU is a Researcher at ICAM (École d'Ingénieurs) in Nantes, France, specializing in IoT Engineering for Industry 5.0. He is affiliated with the LS2N laboratory and focuses on digital twin technology, software engineering, and machine learning operations. His research integrates applied projects like Recyplast-DEMO, emphasizing sustainable manufacturing and industrial IoT solutions. He collaborates closely with industry partners to develop model-driven engineering frameworks for sensor networks and green computing metrics. His work bridges formal methods with practical applications in cyber-physical systems and industrial automation. Education and academic background details are not explicitly provided in the text. His projects emphasize real-time systems, sensor data analysis, and sustainable software practices. He contributes to international academic partnerships through ICAM's global campuses, fostering applied research with industrial relevance. His publications span digital twin development, IoT system correctness, and energy-efficient software engineering. Key collaborations include the MEASURE project for green software metrics and the SMART REIFIER framework for SCADA applications. His expertise in model-driven engineering and formal verification underscores his contributions to reliable IoT architectures and industrial automation systems.

Andrea PoliniView profile

Professor

• Blockchain Technology
• Business Process Modeling
• IoT Systems
• +5 more

Andrea Polini is a Full Professor at the University of Camerino, focusing on interdisciplinary research at the intersection of blockchain technology, business process modeling, IoT systems, and software engineering. His work emphasizes formal methods for ensuring correctness in distributed systems, smart contract security, and model-driven approaches for IoT integration. Research interests include blockchain-based choreography execution, mutation testing strategies for smart contracts (e.g., ReSuMo and SUMO tools), and frameworks for IoT application portability (X-IoT). He also investigates process mining in public administration and humanitarian contexts, such as analyzing collaboration in crisis mapping platforms like the HOT Tasking Manager. Polini’s contributions span over 60 publications since 2014, with a strong focus on practical tools and methodologies (e.g., BProVe for business process verification, FloBP for IoT-enhanced processes). His work bridges theoretical computer science with real-world applications in healthcare, urban mobility (Tangramob framework), and disaster response systems.

• Business Process Innovation
• Digital Transformation of Organizations
• Process Analytics
• +2 more

Michael zur Muehlen is an Associate Professor and Associate Dean of Graduate Studies at the School of Business, Stevens Institute of Technology. He holds a PhD and MS in Information Systems from the University of Münster. His research focuses on Business Process Innovation, Digital Transformation, and Process Analytics. He has led numerous reengineering projects in finance, manufacturing, and public sectors, and advised the U.S. Department of Defense. He is a Fellow of the Workflow Management Coalition and has authored/co-authored books and over 100 publications. His awards include the 2018 President's Award and 2002 Dissertation Award. Education: PhD (2002) and MS (1997) in Information Systems, University of Münster Research Interests: Process Analytics, Digital Transformation, BPM Standards His work emphasizes operational excellence and organizational impact. Recent articles explore regulatory instability in BPM, cognitive computing applications, and BPM skill configurations. He has received grants totaling over $7M, including a 2020 AACSB/PwC grant. His consulting spans Goldman Sachs, Citibank, and the Federal Reserve Bank. Awards: 10+ academic and industry awards, including teaching excellence and research recognition Advising: Supervised over 40 PhD/Master's students across 15+ institutions

Arjmand NaveedView profile

Researcher

• Data Science
• Artificial Intelligence
• Health Informatics
• +3 more

Dr. Arjmand Naveed is a Post Doc-Researcher in the Faculty of Engineering and Informatics at the University of Bradford. She holds a PhD in Computer Sciences with a focus on addressing semantic interoperability and text annotation concerns in Electronic Health Records (EHR) using Word Embedding, Ontology, and Analogy. Her research emphasizes Data Science, Artificial Intelligence, and improving Human Health, with a particular focus on semantic interoperability, EHR systems, and cybersecurity in healthcare. Her academic journey includes over 7 years as a Computer and Mathematics Lecturer, with a strong commitment to student development and process optimization. She has presented research at conferences such as the Annual Innovative Engineering and Research Conference (AIERC 2019), earning a 3rd position in oral presentations. Her work spans interdisciplinary applications, including energy-efficient healthcare monitoring systems using 5G, semantic RESTful API development for healthcare interoperability, and geophysical studies. She is affiliated with the Bradford-Renduchintala Centre for Space AI and contributes to advancing AI-driven solutions in health informatics and digital technologies.

ALFONSO GARCIA DE PRADO FONTELAView profile

Associate Professor

• Service-Oriented Architecture
• Complex Event Processing
• Internet of Things
• +3 more

Alfonso García de Prado Fontela is an Associate Professor at the Department of Automatic Engineering, Electronics, Computer Architecture and Networks at the University of Cadiz, Spain. He is affiliated with the UCASE research group (TIC025) focused on Software Engineering and holds a PhD in Computer Science from the University of Cadiz (2017) for his work on non-intrusive context-aware service-oriented architectures. His research bridges professional software engineering experience from companies like MSL Software and Atos Origin with academic innovation, focusing on: Context-aware service-oriented architectures Complex event processing (CEP) for IoT Smart environment systems Health risk detection via environmental data Model-driven engineering Recent publications reveal a strong emphasis on real-time data processing, collaborative smart environments, and IoT applications in air quality monitoring. He has authored 13 JCR-indexed papers (Q1-Q4) and developed 5 registered software tools including CARED-SOA and SAT-CEP-monitor. Professional contributions include participation in: National projects: TIN2015-65845-C3-3-R, RTI2018-093608-B-C3 Regional project: P20-00865 Local projects: PR2011-004, CEIJ19-C01.1 Contact: alfonso.garciadeprado@uca.es | Personal Web

Boris BankovView profile

Assistant Professor

• Web Development
• Gamification in Education
• Software Engineering
• +7 more

Boris Bankov is a software developer and academic professional currently serving as an Assistant Professor at the Department of Informatics in the University of Economics - Varna. His work combines web development expertise with educational innovation. PhD in Informatics and Computer Science Deputy Director at Center for Electronic and Distance Learning Laureate of John Atanasoff Award (2022) His research interests focus on web development, gamification in education, and the intersection between game design principles and enterprise web applications. He has extensive experience working with technologies including PHP Laravel, MySQL, Bootstrap, and Unity/C# game development. Key publication areas include: Learning Management Systems in higher education, Gamification frameworks for educational environments, Responsive web design solutions, and NFT technology analysis. His work has been published in various academic forums since 2017. John Atanasoff Award of the President of Bulgaria (2022)

Scott AndersonView profile

Senior Lecturer

• Web Application Programming
• Databases
• Web Frameworks
• +5 more

Scott Anderson is a Senior Lecturer in the Department of Computer Science at Wellesley College. His expertise spans web application programming, databases, and computer graphics, with additional research focus on artificial intelligence (planning and natural language processing), simulation, and system software administration. Education: B.S. from Yale University, M.S. and Ph.D. from the University of Massachusetts Amherst. Professor Anderson teaches courses in Computer Graphics (CS307) and Databases with Web Interfaces (CS304) , emphasizing foundational techniques in 3D graphics, full-stack web development, and database integration. His research aligns closely with these domains, including simulation, AI-driven middleware, and REST API design.