جست‌وجوی استاد و پژوهشگر

Eugenia Dacoroniaمشاهده پروفایل

استاد

• Contract Law
• Tort Law
• Environmental Law
• +۳ مورد دیگر

Eugenia Dacoronia is a Professor at the National and Kapodistrian University of Athens Law School, Department of Private Law (Civil Law). She holds a doctorate from the same university and conducted postdoctoral research at Wake Forest University and the European Centre of Tort and Insurance Law in Vienna. Her academic appointments include teaching undergraduate courses in General Principles of the Greek Civil Code, Real Property Law, and Environmental Law, along with postgraduate and Erasmus modules on comparative tort law and legal interpretation. Research Focus: Her expertise spans: Comparative tort law systems and liability frameworks Environmental liability with focus on catastrophic harms Civil code interpretation and contractual analysis Legal harmonization in European contexts Her publications predominantly analyze tort law evolution in Greece within European frameworks, with recent works examining liability for new technologies and systemic compensation models for large-scale harms. This reflects her ongoing engagement with contemporary challenges in civil liability systems. Honors & Memberships: UNIDROIT Governing Council Member (2019-2023) European Commission Expert Group on Liability and New Technologies Full Member of European Group on Tort Law Fellow of European Law Institute She maintains active arbitration practice (ICC/ad hoc) and serves on governmental committees including Greece's Naturalisation Committee. Her international engagements include lectures at universities across Europe and participation in all European Tort Law conferences since 2002 as Greece's national representative.

Chrysafiadi Konstantinaمشاهده پروفایل

استادیار

• Fuzzy Logic
• Artificial Intelligence
• Educational Technology
• +۵ مورد دیگر

Chrysafiadi Konstantina is an Assistant Professor in the Department of Informatics at the University of Piraeus's School of Information and Communication Technologies. Her work bridges fuzzy logic, artificial intelligence, and educational technology to develop adaptive systems for diverse applications. Research Interests: Her primary focus includes fuzzy logic-driven personalization, intelligent tutoring systems, and machine learning applications in education and safety. Key areas are: Design of adaptive educational games and e-learning platforms AI-enhanced cultural analysis using large language models Smart home safety systems with fuzzy-based emergency alerts Personalized recommendation engines for tourism and entertainment Publication Trends: Recent work (2023-2025) demonstrates extensive use of fuzzy logic combined with machine learning to create context-aware systems. Dominant themes include personalized education (e.g., programming tutors, adaptive quizzes), cultural heritage analysis (e.g., song/poem interpretation with GPT), and safety solutions (e.g., fire prevention in smart homes).

Constantinos Patsakisمشاهده پروفایل

دانشیار

• Cryptography
• Security
• Privacy
• +۴ مورد دیگر

Constantinos Patsakis is an Associate Professor at the Department of Informatics, University of Piraeus, and an adjunct researcher at the Institute for the Management of Information Systems (IMIS) of Athena Research and Innovation Centre. He holds a Mathematics degree from the University of Athens, an M.Sc. in Information Security from Royal Holloway, University of London, and a PhD in Security from the University of Piraeus. Previously, he worked as a Researcher at the UNESCO Chair in Data Privacy at Rovira i Virgili University, a Research Fellow at Trinity College Dublin, and a Senior Researcher at the Luxembourg Institute of Science and Technology. His primary research areas include cryptography, security, privacy, data anonymization, malware analysis, and blockchain technology. With over 190 publications to his name, his work spans from theoretical security frameworks to practical applications in digital forensics and malware detection. He has contributed significantly to the development of datasets for security research, including the Malicious MS Office documents dataset, Social Live Streaming Service Grooming dataset, and the HYDRA dataset for Domain Generation Algorithm research. His recent publications (2024-2025) reveal a strong focus on emerging security challenges, with particular emphasis on LLM applications in security analysis, novel malware detection techniques, privacy-preserving protocols, and blockchain security. His work bridges academic research with practical security solutions, addressing both technical and human aspects of cybersecurity. As an editor for journals including Computers and Security, International Journal of Information Security, Scientific Reports, and Blockchain: Research and Applications, he plays a significant role in shaping the discourse in his field. He currently teaches undergraduate courses in Information & Code theory, Security Governance, Introduction to Computer Science, and Cryptography, as well as graduate courses in Digital Forensics & Malware Analysis, Cryptographic protocols, and Blockchain development. Principal Investigator for ALUNA (ISFP-2021-AG-CYBER) Coordinator for LAZARUS (HORIZON-CL3-2021-CS-01) Principal Investigator for Cut the Cord (ISFP-2020-AG-CYBER) Principal Investigator for HEROES (H2020-FCT-01-2020) His research group actively contributes to multiple EU-funded projects addressing critical cybersecurity challenges, with a particular focus on digital forensics, blockchain security, and privacy-preserving technologies. The team maintains strong collaborations with international institutions and industry partners, ensuring their research has real-world impact.

Dimitrios Tsolakisمشاهده پروفایل

پژوهشگر

• Big Data
• Computational Intelligence
• Data Analysis
• +۴ مورد دیگر

Dimitrios Tsolakis is a postdoctoral researcher at the Department of Cultural Technology and Communication, University of the Aegean. His roles combine academic research with professional expertise in informatics systems and software. He has worked as a system operator for the mainframe hardware and software of the Central Bank of Greece since 2017, alongside his research activities. His professional background includes twelve years at Quality and Reliability S.A., where he contributed to government IT projects and authored development artifacts such as requirements, design documents, code, and test cases. Education: PhD in Cultural Technology and Communication from University of the Aegean Master of Cultural Informatics from University of the Aegean Master of International Business Administration from Guglielmo Marconi University Research Interests: Focuses on machine learning applications for data analysis, including clustering and classification methods for digital image processing. Explores neural networks, knowledge representation, and computational intelligence in cultural and technological contexts. His academic work emphasizes formulating project goals, researching methodologies, and generating publishable reports. While no specific awards are mentioned, his contributions to both industry and academia highlight his technical and analytical prowess. He has no recorded advisees, but his professional experience spans full project lifecycle management, data preprocessing, and system development. Personal details include residing in Athens and having a daughter named Fotini.

Tsikalakis Antoniosمشاهده پروفایل

استادیار

• Renewable Energy Sources
• Electrical Energy Management
• Smart Grids
• +۴ مورد دیگر

Dr. Tsikalakis Antonios is an Assistant Professor at the Department of Electrical Engineering , School of Engineering , Hellenic University of Technology. His academic journey began with a Diploma in Electrical & Computer Engineering (2002, NTUA) and a PhD in Energy System Operation (2008, NTUA). He previously worked at HEDNO S.A. (2015–2017) and held teaching roles at Technical University of Crete and SEFE. His research focuses on optimization of energy systems , particularly in island grids with high renewable integration and storage. Education : Bachelor's: School of Electrical & Computer Engineering, NTUA (2002) PhD: NTUA (2008) – Thesis: "Contribution to the Planning of the Operation of Electricity Distribution Networks with High Penetration of Distributed and Renewable Generation and Storage Devices" Research & Awards : Authored 21 journal papers and 47 conference proceedings with an h-index of 19. Coordinates ERASMUS+ KA2 MESfIA program. Awarded TEE commendation for early work on renewable valuation in island networks. Professional Affiliations : IEEE member TEE member Participant in TEE/TAK working groups on renewable energy impacts and NDN code translation Teaching : Taught courses on renewable energy, smart grids, energy storage, and grid management across multiple institutions.

• Artificial Intelligence
• Digital Games
• Emotional Computing
• +۳ مورد دیگر

Kostas Karpouzis is an Assistant Professor at Panteion University's Department of Communication, Media and Culture. His research focuses on adaptive computing systems, emotional computing, and applying digital games/gamification in education. He has led over 20 EU/Greek projects like Humaine Network (emotion modeling), CALLAS (emotional computing), and iRead (serious games). He serves as IEEE Greece Computer Chapter Chair, Board Member of Corallia’s gi-Cluster (creative industry consortium), and President of the Association of Informatics and Communications Engineers of Greece. His work includes co-editing Springer's 'Emotion in Games: Theory and Practice' and developing TED-Ed courses on emotion recognition. Key awards include Intel's Ultrabook Design Award (2011), Best Learning Game in Europe (2013), and GALA Serious Games competition win (2018). He advocates coding literacy through initiatives like Girls Go Coding and EU Code Week, and engages in science communication via TEDx talks and OpenScience.gr. His research spans AI ethics, culturally-aware AI systems, educational technology, and emotional health apps. Current projects include H2020 ECoWeB for adolescent mental health and H2020 iRead's Navigo game. He teaches courses on artificial intelligence, cultural informatics, and media technologies.

Maria Petropoulouمشاهده پروفایل

استادیار

• High-Energy Astrophysics
• Multi-Messenger Astrophysics
• Astrophysical Plasmas
• +۳ مورد دیگر

Maria Petropoulou is an Assistant Professor in the Department of Physics at the National and Kapodistrian University of Athens (NKUA). She holds a PhD in Physics from NKUA (2014) and has held prestigious fellowships, including the NASA Einstein Postdoctoral Research Fellowship (2013–2016) and the Lyman Jr. Spitzer Postdoctoral Fellowship at Princeton University (2017–2020). Her research focuses on high-energy and multi-messenger astrophysics, particularly radiative processes in astrophysical plasmas, particle acceleration, and neutrino production in extreme environments like blazar jets and black hole accretion systems. Education: BSc in Physics, NKUA (2008) MSc in Astrophysics, Astronomy & Mechanics, NKUA (2010) PhD in Physics, NKUA (2014) Research interests encompass magnetic reconnection in relativistic plasmas, hadronic processes in active galactic nuclei, and the interplay between cosmic rays and neutrino emission. She has published 59 peer-reviewed articles and contributed to international collaborations such as the IceCube Neutrino Observatory. Awards include the Best PhD Thesis Award from the Hellenic Astronomical Society (2015) and the Fondation MERAC Award (2016). Her work bridges observational data with theoretical models, advancing our understanding of extreme astrophysical phenomena. She actively participates in global initiatives like the Blazar Hadronic Code Comparison Project and contributes to next-generation instrumentation such as the High Energy X-ray Probe (HEX-P).

Stamatios Papadakisمشاهده پروفایل

استادیار

• Educational Technology
• Mobile Learning
• Educational Robotics
• +۳ مورد دیگر

Stamatios Papadakis is an Assistant Professor at the University of Crete, specializing in educational technology and innovative pedagogical approaches. His work focuses on integrating emerging technologies like AI, robotics, and gamification into early childhood and primary education. He has demonstrated a strong commitment to open access publishing, with 64% of his research freely available and 55% under open licenses, placing him in the top 1% globally for open licensing practices. His research interests include mobile learning for marginalized populations (e.g., refugees), computational thinking development in young children, and the ethical implementation of social robots in classrooms. Key contributions include pioneering studies on STEM education through tools like ScratchJr and BBC Micro:bit, as well as analyzing the impact of digital addiction on academic performance. Papadakis has published extensively in journals like Studies in Computational Intelligence and Lecture Notes in Networks and Systems , with notable works examining teacher self-efficacy in ICT use and the effectiveness of adaptive gamification in science education. His collaborative efforts with institutions in Greece and Turkey highlight cross-cultural educational challenges and solutions.

Chao Pengمشاهده پروفایل

مدرس پاره‌وقت

• Software Testing
• Program Analysis
• Programming Languages
• +۵ مورد دیگر

Chao Peng is a Principal Research Scientist at ByteDance where he leads the Trae Research team (ByteDance Software Engineering Lab), conducting cutting-edge research on AI agents for software engineering. He also serves as a Part-time Postgraduate Student Mentor at Fudan University's School of Computer Science, bridging industry research with academic mentorship. PhD in Informatics (2021), University of Edinburgh, UK MSc in High Performance Computing and Data Science (2017), University of Edinburgh, UK BEng in Computer Science and Technology (2016), Xuzhou University of Technology, China Dr. Peng's research focuses on the intersection of software testing, program analysis, and large language models. His work explores how AI agents can revolutionize software engineering practices, with particular emphasis on automated bug detection, code generation, and testing frameworks. He has pioneered approaches for evaluating LLM performance in software engineering contexts and developing agent-based systems that enhance developer productivity while maintaining code quality and security. His recent publications demonstrate a clear trend toward integrating large language models with traditional software engineering practices. The research spans code generation evaluation, security vulnerability detection, automated bug reproduction, and issue localization. These works collectively advance the field of AI-assisted software development by addressing practical challenges in reliability, security, and efficiency of AI-generated code. Distinguished Reviewer for FSE'25 School of Informatics Scholarship (fully-funded PhD scholarship) Outstanding Graduate Scholarship at Xuzhou University of Technology Multiple China National Scholarships Honours Spot Bonus at ByteDance Certificate of Achievement for HPCAC Student Cluster Competition Dr. Peng actively mentors students through his role at Fudan University and previously at the University of Edinburgh, where he served as sub-supervisor for MSc projects and teaching assistant for software testing courses. His research has attracted significant industry attention, leading to multiple collaborations between ByteDance and academic institutions. He frequently serves on program committees for major software engineering conferences including ASE, FSE, and ICSE, demonstrating his leadership in the field. As leader of the Trae Research team at ByteDance Software Engineering Lab, Dr. Peng oversees research on AI agents for software engineering, including the application and evaluation of AI agents and training LLMs for agent-based systems. The lab's work focuses on practical systems that predict, detect, diagnose, and fix bugs across various software systems, with particular emphasis on real-world applications and measurable impact on developer productivity.

Xiaoyin Wangمشاهده پروفایل

دانشیار

• Software Testing and Analysis
• Software Privacy
• Program Analysis
• +۳ مورد دیگر

Xiaoyin Wang is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio, specializing in software testing, privacy, and program analysis. Her research focuses on enhancing software quality through innovative approaches to build systems, virtual reality testing, and privacy policy enforcement. She earned her PhD from Peking University in 2012 and completed postdoctoral work at UC Berkeley. Her research interests span Software Testing and Analysis , Software Privacy , Build Systems , and Virtual Reality Testing . She develops techniques for detecting privacy leaks in mobile apps, optimizing build scripts, and testing immersive applications. Her work bridges program analysis with practical software engineering challenges, particularly in security-critical contexts. Recent publications reveal strong trends in Virtual Reality testing frameworks (e.g., VRGuide, VRTest), automated build diagnostics (PExReport, HireBuild), and privacy policy verification (GUILeak, DAISY). Her research increasingly integrates machine learning for bug prediction and test oracle generation, with significant contributions to augmented reality testing and cross-project compatibility analysis. President's Research Achievement Award (UTSA, 2019) NSF CAREER Award (2019) for build script analysis Distinguished PhD Dissertation Awards from CCF (2013) and Peking University (2012) MSRA Fellowship (2009) Wang actively advises PhD students including Rodney Rodriguez (defended 2022, now at Accenture) and Xueling Zhang (defended 2021, now Assistant Professor at RIT). She leads NSF-funded projects including CAREER: Analysis and Repair of Build Scripts for DevOps and EAGER: Tracing Privacy-Policy Statements into Code . Her service includes chairing ICSE 2019 proceedings and serving on ASE/ICSE/ISSTA program committees. Current work focuses on security analysis for AR applications and automated privacy compliance verification.

Ying Wangمشاهده پروفایل

دانشیار

• Dependency management
• Software ecosystem governance
• Software refactoring
• +۵ مورد دیگر

Dr. Ying Wang is an Associate Professor and Assistant Dean at the Software College of Northeastern University in China, where she also serves as a doctoral supervisor. She received her PhD in Software Engineering from Northeastern University in January 2019 and joined the faculty in February 2019. Her academic career includes a postdoctoral fellowship at the Hong Kong University of Science and Technology (2022-2023) and a visiting scholar position at Microsoft Research Asia (2021) through the StarTrack Program. Her research focuses on dependency management, software ecosystem governance, software refactoring, and software supply chain security. She has made significant contributions to understanding cross-language dependencies, vulnerability propagation across ecosystems, and developing tools for dependency conflict detection and resolution. Her work spans multiple programming language ecosystems including Java, C#, Python, Go, JavaScript, Android, and Rust. Dr. Wang's publication record shows a consistent trajectory of high-impact research in top software engineering conferences (CCF-A level) including ASE, ICSE, ESEC/FSE, and ISSTA. Her recent work increasingly integrates large language models with traditional software engineering techniques, particularly in dependency analysis and software refactoring. The publications demonstrate a strong emphasis on practical tool development with industry applications. Microsoft Research Asia Star Program Scholar (2020) CCF Outstanding Doctoral Dissertation Award nomination (2020) Liaoning Province Outstanding Doctoral Dissertation Award (2021) ACM SIGSOFT Distinguished Paper Award (ICSE 2021 and ESEC/FSE 2023) Multiple CCF ChinaSOFT Software Prototype Competition awards (2020, 2023) OpenHarmony Community Security Governance Contributions (2024, 2025) Dr. Wang actively mentors a large group of graduate students working on various aspects of software engineering, with many graduates securing positions at major technology companies including Huawei, Microsoft, Alibaba, and Tencent. She serves on the editorial board of IEEE Transactions on Software Engineering and has held numerous program committee positions at top software engineering conferences. Her research has strong industry connections, with several tools developed by her team being integrated into commercial platforms at Huawei and Microsoft.

Jifeng Xuanمشاهده پروفایل

استاد

• Software Analysis and Testing
• Software Testing
• Software Debugging
• +۲ مورد دیگر

Jifeng Xuan is a Professor and Deputy Dean at the School of Computer Science, Wuhan University, China. He leads the CSTAR (Centre of Software Testing, Analysis and Reliability) research group and has made significant contributions to software engineering, particularly in software testing, debugging, and analysis. Dr. Xuan completed his bachelor's degree and PhD at OSCAR Lab, School of Software, Dalian University of Technology, China, under the supervision of Prof. He Jiang. He also conducted postdoctoral research at SPIRALS Team in INRIA Lille - Nord Europe, France, working with Dr. Martin Monperrus and Prof. Lionel Seinturier. His research focuses on Software Analysis and Testing , with specific interests in software testing and debugging, software data analysis, and search-based software engineering. Dr. Xuan's work bridges theoretical foundations with practical applications, addressing real-world challenges in software quality assurance. His research has led to numerous publications in top-tier software engineering venues and has influenced both academic research and industrial practices. Dr. Xuan's recent publications demonstrate a strong focus on innovative approaches to software testing, debugging, and analysis. His work spans multiple subfields including log analysis, fuzz testing, bug triage, and automated program repair. He has made significant contributions to understanding software crashes, improving bug report quality, and developing techniques for more effective software testing and analysis. 2025 ACM SIGSOFT Distinguished Paper Award 2025 IEEE TCSE Distinguished Paper Award 2024 CCF NASAC Youth Software Innovation Award 2018 ACM SIGSOFT Distinguished Paper Award 2015 Young Talent Development Program of CAST and CCF 2015 Luojia Young Scholar Program of Wuhan University 2014 Outstanding Doctoral Dissertation of CCF Dr. Xuan actively mentors PhD and master's students through his CSTAR research group at Wuhan University. He has served on numerous program committees for major software engineering conferences including ICSE, FSE, ASE, and ISSTA. His editorial service includes roles on the editorial boards of Empirical Software Engineering (EMSE), PLOS One, and Frontiers of Computer Science. Dr. Xuan has also organized several workshops and conferences, demonstrating his leadership in the software engineering community. As founder of CSTAR (Centre of Software Testing, Analysis and Reliability), Dr. Xuan leads a research team focused on advancing the state of the art in software quality assurance. The group's work spans theoretical foundations and practical applications, with strong connections to industry challenges. CSTAR has established collaborations with both domestic and international research institutions, contributing to a vibrant research ecosystem in software engineering.

Işıl Dilligمشاهده پروفایل

دانشیار

• Program analysis
• Program synthesis
• Program verification
• +۴ مورد دیگر

Işıl Dillig is an Associate Professor of Computer Science at the University of Texas at Austin, where she leads the UToPiA research group. Her academic career spans over a decade of significant contributions to programming languages research, particularly in program analysis, verification, and synthesis. Dr. Dillig received all her academic degrees (BS, MS, and PhD) from Stanford University before joining the faculty at UT Austin. Her educational background established the foundation for her innovative research approach that bridges theoretical computer science with practical applications. Her research focuses on developing techniques to make software systems more reliable, secure, and easier to build through advanced program analysis, verification, and synthesis methods. She has pioneered approaches that combine symbolic reasoning with machine learning to tackle complex software engineering challenges across multiple domains including security, databases, and programming language theory. Her work demonstrates exceptional depth in creating practical tools that address real-world software development problems while maintaining strong theoretical foundations. Analysis of Dr. Dillig's publication record reveals a consistent trajectory of innovation in program synthesis, with recent work expanding into neurosymbolic approaches that bridge neural networks with formal methods. Her research shows strong connections between theoretical foundations and practical applications, particularly in security-critical systems, database technologies, and blockchain applications. The evolution of her work demonstrates increasing sophistication in handling complex program structures while maintaining practical usability. Dr. Dillig has received prestigious recognition for her research contributions: Sloan Fellowship NSF CAREER award As a dedicated educator and research leader, Dr. Dillig has served in significant roles including Program Chair for PLDI 2022 and Steering Committee member for PLDI. She has mentored numerous students through her UToPiA research group, guiding research in program synthesis, verification, and analysis. Her work has been supported by substantial research grants that have enabled innovative projects at the intersection of programming languages and security. Dr. Dillig leads the UToPiA (UT Austin Programming, Languages, and Analysis) research group, which focuses on developing novel techniques for program analysis, verification, and synthesis. The group maintains strong collaborations with industry partners and academic institutions worldwide, translating theoretical advances into practical tools that address real software engineering challenges.

Yufei Dingمشاهده پروفایل

دانشیار

• Compiler Technology
• Machine Learning
• Quantum Computing
• +۳ مورد دیگر

Yufei Ding is an Associate Professor in the Computer Science & Engineering Department at the University of California, San Diego (UCSD), where she leads the PICASSO Lab. Her research spans domain-specific language design, architecture and compiler optimization, and hardware acceleration, with current focus on developing high-performance, energy-efficient, and high-fidelity programming frameworks for quantum computing and machine learning. Dr. Ding received her Ph.D. in Computer Science from North Carolina State University and a B.S. in Physics from the University of Science and Technology of China. Her interdisciplinary background bridges physics and computer science, enabling her to tackle challenges in emerging computing paradigms. Her research interests focus on Compiler Technology, Machine Learning, and Quantum Computing , with specific expertise in domain-specific language design, architecture and compiler optimization, and hardware acceleration. Dr. Ding's work addresses critical challenges in programming frameworks for emerging technologies, particularly in making quantum computing more accessible and efficient through innovative compiler techniques and runtime systems. Dr. Ding's scientific contributions have been recognized with prestigious awards including the NSF CAREER Award (2020) and the IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High-Performance Computing (2019) . As an active researcher and educator, Dr. Ding serves on program committees for major conferences including PLDI, PPoPP, and SPLASH. She currently has Ph.D. openings in quantum computing and machine learning systems research, as well as a postdoc position in quantum computing for physics Ph.D. candidates with relevant background. Dr. Ding founded and leads the PICASSO Lab at UCSD, which focuses on developing innovative solutions for programming emerging computing technologies. The lab's work bridges theoretical foundations with practical implementations to address real-world challenges in high-performance computing.

Arjun Guhaمشاهده پروفایل

دانشیار

• Programming Languages
• Program Synthesis
• Low-Resource Programming Languages
• +۶ مورد دیگر

Arjun Guha is an Associate Professor at Northeastern University's Khoury College of Computer Sciences, where he also serves as the Area Chair for Software. He conducts research in programming languages with a focus on program synthesis for low-resource programming languages and understanding how computer science education is impacted by large language models. His work spans multiple domains including WebAssembly, software-defined networking, and serverless computing. Guha's research interests center around programming language design, implementation, and application. He has made significant contributions to understanding JavaScript through formal semantics (LambdaJS), developing functional reactive programming for web applications (Flapjax), and creating tools for software-defined networks (NetKAT, Frenetic). His recent work focuses on leveraging large language models for code generation in specialized programming languages and understanding their impact on programming education. His publications reveal a strong trend toward applying AI and machine learning techniques to programming language problems, particularly in code generation and understanding. The research spans from foundational programming language theory to practical applications in education and software development tools, with increasing focus on the intersection of programming languages and large language models. Guha has received several prestigious awards including the OOPSLA Most Influential Paper Award in 2019 for his work on Flapjax, an ACM SIGPLAN Research Highlight for his work on NetKAT, and a Best Student Paper Award. His research has been recognized for its foundational contributions to programming language theory and practical impact on software development. OOPSLA Most Influential Paper Award (2019) for Flapjax ACM SIGPLAN Research Highlight for A Fast Compiler for NetKAT Best Student Paper Award for Flapjax paper Guha advises numerous PhD, MS, and undergraduate students, with several alumni now at leading tech companies and academic institutions. His research has been supported by the National Science Foundation, the Department of Energy, the Office of Naval Research, and industry partners including Google, JPMorgan Chase, MathWorks, Meta, Oracle, and Roblox. He leads the Programming Research Laboratory at Northeastern and is actively involved in major research collaborations like the BigCode Project. Guha is a member of the Programming Research Laboratory at Northeastern and leads several major research initiatives including the BigCode Project's evaluation working group. His lab develops practical software systems like MultiPL-E (a polyglot benchmark for Code LLMs) and WasmFX (bringing effect handlers to WebAssembly), with applications in education, software development, and high-performance computing.