جست‌وجوی استاد و پژوهشگر

Graeme Stuartمشاهده پروفایل

پژوهشگر ارشد

• Energy Management
• Sustainable Development
• Building Energy Performance
• +۳ مورد دیگر

Graeme Stuart is a Research Fellow at De Montfort University’s Institute of Energy and Sustainable Development, with a post-doctoral affiliation at Politecnico di Torino’s DENER department and Citynet fellow status. He holds a PhD in Energy and Sustainable Development (2011) from De Montfort University, an MSc in the same field, and a BSc (Hons) in Applied Environmental Science from the University of Portsmouth. Education: BSc (Hons) in Applied Environmental Science – University of Portsmouth MSc in Energy and Sustainable Development – De Montfort University PhD in Energy and Sustainable Development – De Montfort University His research focuses on empirical modeling of building energy performance using high-resolution time-series data to create benchmarks for individual buildings. He specializes in smart metering systems, energy feedback mechanisms, and behavioral change strategies across institutional, social, and individual contexts in public buildings across Europe. His work bridges technical data analysis with user engagement through energy coaching and interactive platforms. Recent publications analyze energy management in communities, agent-based modeling for informal settlements, and decentralized systems in public authorities. His 2025 studies explore data-driven student support and communication strategies in facilities management, while 2023-2015 works address behavioral effects in European cities, smart metering impacts, and organizational barriers to energy efficiency. He has consulted for British Gas on domestic energy disaggregation systems and collaborated with UK local authorities (Leicester City Council, Northamptonshire County Council) on smart meter deployment challenges. His contributions include developing accessible monitoring systems and frameworks for adaptive energy practices in heterogeneous infrastructure environments.

• Artificial Intelligence
• Multi-Agent Systems
• Computer Science Education
• +۳ مورد دیگر

Miguel Rebollo Pedruelo is a researcher at the Polytechnic University of Valencia, specializing in Computer Science and Artificial Intelligence. He has published extensively on multi-agent systems, educational technology, and social media applications in teaching. Research Focus : AI for education, model-driven development, and social network analysis. Key Contributions : Pioneering consensus algorithms for MAS, transmedia educational frameworks, and sentiment analysis tools. His work bridges artificial intelligence with pedagogical innovation, evidenced by 15+ peer-reviewed publications (2016-2024) and editorial roles in conferences like JENUI and CAEPIA. He has directed three doctoral theses and co-authored 20+ collective works.

Audronė Lupeikienėمشاهده پروفایل

دانشیار

• Information Systems Engineering
• Computer Service Systems Engineering
• Knowledge Systems Engineering
• +۳ مورد دیگر

Assoc. Prof. Dr. Audronė Lupeikienė serves as an Associate Professor and Group Leader at the Cybersocial Systems Engineering Group within Vilnius University's Institute of Data Science and Digital Technologies (formerly Institute of Mathematics and Informatics). Holding a Doctor of Science degree, she has established herself as a leading researcher in information systems engineering with over two decades of scholarly contributions. Her academic profile demonstrates sustained excellence in research, teaching, and service within the Lithuanian and international academic community. Dr. Lupeikienė's research expertise spans Information Systems Engineering , Computer Service Systems Engineering , Knowledge Systems Engineering , and Software Systems Engineering . Her work explores both theoretical foundations and practical applications of information systems, with particular emphasis on service-oriented architectures, business process management systems, and ontology-based component programs. She investigates how these systems can be optimized for performance, quality of service, and effective business-IT alignment in digital environments. Her recent scholarly output (2020-2024) reveals a clear evolution in research focus from foundational work on component-based systems to contemporary investigations of digital business transformation. Notably, her research has expanded into interdisciplinary applications including telemedicine systems for cardiac rehabilitation and energy harvesting technologies, demonstrating versatility across domains while maintaining core expertise in information systems engineering. This trajectory reflects her ability to adapt theoretical frameworks to emerging technological and societal challenges. Dr. Lupeikienė has successfully led and participated in significant research projects including the EU structural support project "Theoretical and engineering aspects of the development and use of Internet of Services technologies in high-performance computing platforms" (2012-2015), the "PEN: Production Effectiveness Navigator" EuroStars project (2011-2014), and earlier work on "Engineering problems of ontology-based component programs" (2003-2005). She has served on organizing committees for numerous international conferences and is an active member of the Lithuanian Computer Association. As an educator, Dr. Lupeikienė has taught a comprehensive range of courses reflecting the evolution of information systems education: Agent technologies (2005-2008), Decision-making systems (since 2003), Information systems (since 2002), Database Theory and Practice (2000-2003), and Computerization of management processes (1995-2002). Her teaching portfolio demonstrates adaptation to technological advancements while maintaining focus on core principles of system design and implementation. Her leadership of the Cybersocial Systems Engineering Group focuses on the intersection of social systems and technological infrastructure, exploring how to design, implement, and optimize systems that effectively serve both organizational and social needs in today's increasingly interconnected digital landscape.

Christian Stummerمشاهده پروفایل

استاد

• Business Administration
• Innovation Management
• Technology Management
• +۳ مورد دیگر

Professor Christian Stummer is a Chair Holder in the Faculty of Economics and Business Administration at Bielefeld University, Germany. His academic career spans over two decades with a consistent focus on innovation and technology management. As an active faculty member, he contributes significantly to the university's research profile, particularly in the area of Economic Implications of Smart Products and Smart Systems through the Institute for Technological Innovation, Market Development and Entrepreneurship (iTIME). Position: Chair Holder in Economics and Business Administration Research Focus: Innovation and Technology Management Key Collaborators: M. Günther, E. Kiesling, W.J. Gutjahr Academic Network: Active contributor to Computational Economics research focus Professor Stummer's research interests center on business administration with a specialized focus on innovation management and technology management. His work bridges theoretical frameworks with practical applications in R&D investment planning and market launch of innovations. His research approach is characterized by an analytical-quantitative methodology that aligns with the faculty's overall research profile. Stummer has made significant contributions to the understanding of multi-criteria decision problems in innovation contexts, particularly through the development of decision support systems that help organizations navigate complex innovation management challenges. His publication record reveals a clear trajectory of research evolution from foundational work in R&D project selection in the late 1990s to sophisticated agent-based simulation approaches for innovation diffusion in recent years. The publications demonstrate a consistent focus on decision support methodologies applied to innovation management problems, with increasing sophistication in modeling approaches over time. His work frequently addresses the challenge of balancing multiple objectives in innovation management decisions, reflecting the complexity of real-world business environments. Most Innovative Paper Award: IEEE EDUCON 2010 for game-based learning in technology management education Best Applied Paper Award: Winter Simulation Conference for agent-based simulation of biofuel market diffusion Nomination: Best Paper Award at ECMS 2010 conference Professor Stummer's research has practical applications across various industry sectors, particularly in technology-intensive industries where innovation management is critical. His work on multi-channel management and disruptive technology strategy provides valuable frameworks for businesses navigating digital transformation. Through his involvement with the Bielefeld Graduate School of Economics and Management (BiGSEM), he contributes to training the next generation of researchers in quantitative economic approaches. His decision support methodologies have potential applications in both public policy contexts (particularly regarding sustainable technology adoption) and private sector innovation management.

Klaus Steinمشاهده پروفایل

مدرس پاره‌وقت

• Digital Heritage Technologies
• Heritage Conservation
• Geographic Information Systems (GIS)
• +۶ مورد دیگر

Klaus Stein is a part-time lecturer at the Chair of Heritage Conservation , Otto-Friedrich University of Bamberg. His work bridges digital technologies , spatial modeling , and cultural heritage through interdisciplinary research projects. Co-leader of the UrbanMetaMapping project (BMBF-funded) analyzing WWII war damage maps Developed KTF (Wiki-based terminology framework) for SMEs Contributed to COM (Communication-Oriented Modeling) DFG research network Active in EMN-MOVES project for age-friendly mobility solutions His research focuses on digital heritage , social network analysis , and collaborative GIS , with over 20 years of publications in spatial cognition and information systems . While his primary role involves teaching in the Master's program in Digital Heritage Technologies , he also contributes to open-source GIS and web mining methodologies. Key projects include: Find Diversity (BioDiv2Go): Promoting biodiversity awareness via location-based games Virtual Spaces : Digital reconstruction of historical church color schemes

Lee Kang-iمشاهده پروفایل

استاد

• Child Development
• Parenting Education
• Family Policy
• +۴ مورد دیگر

Lee Kang-i is a full-time Professor of Child and Family Studies at Seoul National University’s College of Human Ecology , where she has been a faculty member since 2002. She currently serves as the Director of the Human Ecology Research Institute and previously held roles such as Head of Early Childhood Education and Vice Dean of Student Affairs . She is also the incoming President of the Korean Society for Child Studies and has served as President of the Korean Society for Human Development . Education: Ph.D. in Consumer and Child Studies, Seoul National University (1998) M.A. in Consumer and Child Studies, Seoul National University (1991) B.A. in Home Economics, Seoul National University (1989) Research Interests: Professor Lee’s research spans child development , parenting education , family policy , and multicultural family dynamics . Her work explores how parent-child relationships , school-family partnerships , and socioeconomic contexts influence children’s social-emotional development , academic achievement , and well-being . She is particularly focused on early childhood education , parental involvement , and policy interventions . Research Trends: Her recent publications examine AI-assisted learning , parental digital mediation , adolescent mental health , and multicultural integration . She employs longitudinal designs , advanced statistical modeling , and big data analytics to understand developmental trajectories and inform evidence-based policies. Awards & Recognition: President, Korean Society for Human Development (2022–2023) Director, Seoul National University Parent Policy Research Center (2015–2020) Editorial Director, Korean Society for Child Studies Advisory roles in Seoul Metropolitan Office of Education and local governments Grants & Projects: She has led or co-led over 20 major research projects funded by the Korea Research Foundation , National Institute for Lifelong Education , and Seoul National University , focusing on child development , parenting programs , and educational policy . Labs & Teams: She leads the Child Development Lab at SNU, collaborating with the BK21 Child Development Project , Childcare Support Center , and Parent Policy Research Center to conduct interdisciplinary research and policy outreach.

• Cybersecurity
• Artificial Intelligence
• Requirements Engineering
• +۵ مورد دیگر

Özgür Kafalı is a Lecturer at the School of Computing, University of Kent, and serves as the Ethics Officer. His research spans cybersecurity, artificial intelligence, and requirements engineering, with a focus on socio-technical systems and formal logic-based approaches. Key Research Areas: Cybersecurity-Privacy Intersections, Multiagent Systems, Normative Specifications, and Human-Centric AI. Teaching: Cyber Law, Software Development, Object-Oriented Programming, and Web Programming. His recent publications emphasize socio-technical system specification (e.g., DESEN, 2019), crowdsourcing security requirements (Çorba, 2020), and agent-based privacy violation detection (Protoss, 2012). He explores tradeoffs in normative systems (Kont, 2017) and applies AI to healthcare privacy (Activity Recognition, 2016). Özgür leads the Institute of Cyber Security for Society (iCSS) , collaborating with institutions like North Carolina State University and researchers such as Munindar P. Singh. His work integrates formal verification, machine learning, and empirical studies to address privacy in online social networks, e-commerce, and healthcare systems. Current projects include age-appropriate design assessments for digital platforms (2022) and value-based negotiation frameworks (2021).

Terry Payneمشاهده پروفایل

استاد

• Agent-based Computing
• Ontological Knowledge
• Semantic Web Services
• +۵ مورد دیگر

Dr. Terry Payne is a Senior Fellow of the Higher Education Authority (SFHEA) at the University of Liverpool's Faculty of Science and Engineering. With over 30 years of research in agent-based computing and knowledge systems, he has published 195+ peer-reviewed papers. His current work explores dialogue-based ontological alignment for IoT environments and generative AI applications in education. Research Focus: His research integrates symbolic knowledge representation with multi-agent systems, specializing in: Ontology-driven service discovery/provision Agent negotiation in open environments Generative AI for knowledge engineering Pedagogical modeling using knowledge graphs Publication Trends: Recent work demonstrates strong emphasis on large language models for knowledge evaluation, competency question engineering, and bias analysis in medical AI applications, alongside foundational contributions to semantic web service frameworks. Awards & Honors: Faculty Learning & Teaching Awards (2022, 2019, 2016, 2013) Guild of Students Teacher of the Year (2016) SWSA Distinguished Paper Awards (2011, 2012) AAMAS Best Industrial Paper (2006) Academic Leadership: Supervised 17 PhD graduates, currently mentoring multiple doctoral candidates. Serves as Academic Lead for Recruitment and coordinates industry liaison activities. Professional roles include Program Co-Chair for ISWC 2023 and editorship at Journal of Web Semantics.

Carlotta Compariمشاهده پروفایل

دانشیار

• Physical Chemistry
• Biochemistry
• Thermodynamics
• +۵ مورد دیگر

Carlotta Compari serves as Associate Professor in Physical Chemistry (SSD CHIM/02) at the University of Parma's Department of Food and Pharmaceutical Sciences since 2021, teaching across Pharmaceutical Chemistry, Medical Biotechnology, and Food Science programs. She concurrently holds the position of Head of Quality Assurance for the Master's Degree in Veterinary Medical and Pharmaceutical Biotechnologies. Education: Pharmaceutical Chemistry and Technology graduate, University of Parma (1993-1994) State-qualified Pharmacist (1994) Doctorate in Protein Chemistry, University of Turin (1995-1999) University Researcher appointment in Physical Chemistry (2000) Research Focus: Her work centers on solution equilibria of biologically active molecules through five interconnected domains: (A) cationic gemini surfactants for non-viral gene delivery vectors, (B) thermodynamic profiling of metallo-enzyme inhibitors, (C) tyrosinase-targeted anti-browning agents, (D) bile salt-fiber interactions for cholesterol management, and (E) statistical thermodynamics of hydrophobic hydration. Methodologies include potentiometry, spectrofluorimetry, and molecular modeling. Publication Trends: Recent work (2022-2024) reveals intensifying cross-disciplinary integration between pharmaceutical chemistry and food science, particularly in vector design for gene therapy and enzyme modulation. Key patterns include fluorinated surfactant optimization, multi-technique validation of inhibition mechanisms, and translational applications in nutraceutical development. Academic Leadership: She has supervised approximately 30 degree theses while serving on teaching committees including Admission/Orientation/Tutoring and Self-Evaluation Commissions. Her instructional portfolio spans Physical Chemistry, Biothermodynamics, and Food Chemistry across seven distinct Master's programs since 2000, with consistent annual course assignments through 2025/2026.

Youcef Derbalمشاهده پروفایل

دانشیار

• Complex Adaptive Systems
• Cancer Modeling
• Machine Learning in Oncology
• +۴ مورد دیگر

Dr. Youcef Derbal is an Associate Professor in the Department of Information Technology Management at Toronto Metropolitan University's Ted Rogers School of Information Technology Management. With a Ph.D. in Electrical and Computer Engineering from Queen's University, he brings extensive industry experience from robotics, telecommunications, and software sectors to his academic work. His research focuses on Complex Adaptive Systems, particularly in modeling cancer dynamics through agent-based simulations, machine learning applications for oncology, and computational frameworks for biological processes. Key research areas include tumor dynamics, cell signaling pathways, and tumor-infiltrating lymphocyte recruitment. Dr. Derbal teaches undergraduate courses in business information systems, programming, system analysis, database design, and client-server applications, along with graduate-level advanced project management. His publication record shows consistent output in computational biology, cancer modeling, and grid computing since 2006. Professional affiliations include: Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) International Society for Computational Biology (ISCB) Administrative contributions include service on University Senate, chairing multiple departmental committees, leading the Business Technology Management curriculum development (2009-2014), and serving as School Director during 2013/2014.

• Neuromuscular Diseases
• Motor Neuron Diseases
• Neurogenetics
• +۳ مورد دیگر

Dr. Christopher Grunseich serves as a Lasker Clinical Research Scholar, Tenure Track Investigator, and head of the Inherited Neuromuscular Diseases Unit within the Neurogenetics Branch of the National Institutes of Health's Division of Intramural Research. As a physician-scientist board-certified in Neurology, he maintains an active clinical research program at the NIH Clinical Center in Bethesda, MD. His educational background includes undergraduate training at Brown University, an M.D. from SUNY Stony Brook School of Medicine (2006), neurology residency at Georgetown University, and neurogenetics fellowship training with Dr. Kenneth Fischbeck at NIH. He progressed from Neurogenetics Fellow to Staff Clinician (2016) before receiving the prestigious Lasker Clinical Research Scholar award in 2024. Dr. Grunseich's research focuses on translational approaches to inherited neuromuscular diseases, particularly spinal and bulbar muscular atrophy (SBMA) and genetic forms of ALS. His lab has made significant contributions to understanding R-loop dysregulation in neurodegeneration, developing patient-derived cellular models, and identifying molecular markers for clinical trials. The group employs innovative techniques including inducible transcription factor systems for motor neuron differentiation and advanced MRI-based efficacy measures. Analysis of recent publications (2018-2023) reveals a clear research trajectory from fundamental molecular mechanisms (R-loop biology in ALS4) toward clinical applications (therapeutic trials in SBMA). The work consistently bridges basic science and patient-oriented research, with increasing emphasis on therapeutic development in later publications. Lasker Clinical Research Scholar (2024) Dr. Grunseich oversees an active clinical research program with multiple ongoing studies, including investigations of exercise interventions and IGF-1 pathway agents for SBMA patients. His lab maintains strong translational focus with direct connections between molecular discoveries (e.g., SYNJ2BP-mediated mitochondrial-ER contacts) and clinical applications. The research program benefits from NIH intramural funding and access to specialized patient populations at the Clinical Center. The Inherited Neuromuscular Diseases Unit comprises a biochemist/lab manager, clinical fellow, and multiple postbaccalaureate trainees working collaboratively on patient-derived cellular models, molecular marker development, and clinical trial execution. The lab's unique position within NIH enables direct translation of basic discoveries into therapeutic approaches for rare neuromuscular disorders.

Nicholas Oberliesمشاهده پروفایل

استاد

• Natural Products Chemistry
• Drug Discovery
• Pharmacognosy
• +۶ مورد دیگر

Nicholas Oberlies serves as the Patricia A. Sullivan Distinguished Professor of Chemistry and Graduate Director for MS and PhD programs in the Department of Chemistry and Biochemistry at the University of North Carolina at Greensboro (UNCG). With an extensive research program and numerous publications, Dr. Oberlies has established himself as a leading researcher in natural products chemistry and drug discovery from natural sources. Dr. Oberlies received his B.S. in Chemistry from Miami University in 1992 and completed his Ph.D. in Medicinal Chemistry and Pharmacognosy from Purdue University in 1997. His educational background provided the foundation for his research career focused on the chemistry of natural products. Dr. Oberlies leads a dynamic research group that focuses on the isolation and structure elucidation of bioactive compounds from natural sources, particularly from fungal cultures and plants. His work spans two primary areas: natural products drug discovery and herbal drug research. In drug discovery, his team examines filamentous fungi for new anticancer leads as part of a National Cancer Institute Program Project, having examined over 1000 fungal cultures and isolated more than 300 compounds. In the herbal drug arena, Dr. Oberlies applies similar methodologies to better understand and standardize herbal products, with significant work on milk thistle (Silybum marianum) and its extract silymarin. His group also investigates mechanisms underlying drug-diet interactions, particularly those involving herbal products. The research output from Dr. Oberlies' laboratory demonstrates a consistent focus on natural products chemistry with applications across multiple therapeutic areas. His recent publications show strong interdisciplinary collaboration across fields including genomics, pharmacology, oncology, and analytical chemistry. The work spans from basic chemical characterization of novel compounds to preclinical studies evaluating therapeutic potential, particularly in cancer treatment. Notably, his group has developed expertise in 3D printing applications for laboratory equipment, designing and sharing various useful tools that enhance research efficiency. As Graduate Director for MS and PhD programs in Chemistry and Biochemistry, Dr. Oberlies mentors numerous graduate students. His research is supported by significant funding, notably from the National Cancer Institute for his fungal anticancer drug discovery program. He has established productive collaborations with researchers at institutions including Washington State University and the University of North Carolina at Chapel Hill. Dr. Oberlies leads the Oberlies Research Group, which takes a team-oriented approach to studying bioactive compounds from nature. The group collaborates with scientists across diverse disciplines including pharmacology, virology, ecology, and metabolism to reveal the biological potential of natural compounds. Their innovative approach to laboratory work, including 3D printing applications for research tools, demonstrates a commitment to advancing methodology alongside scientific discovery.

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.

Nadia Kellamمشاهده پروفایل

استاد

• Engineering Education
• Qualitative Research Methods
• Narrative Inquiry
• +۵ مورد دیگر

Nadia Kellam is Professor of Engineering in The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University, where she also serves as Associate Director for Research Excellence and is core faculty in the Engineering Education Systems & Design (EESD) Ph.D. program. She holds additional affiliate appointments in the Mary Lou Fulton College for Teaching & Learning Innovation and the Center for Organization Research and Design (CORD). Education: Ph.D. Mechanical Engineering, University of South Carolina, 2006 M.E. Mechanical Engineering, University of South Carolina, 2004 B.S. Mechanical Engineering, University of South Carolina, 2002 B.S. Physics (minor Mathematics), College of Charleston, 2002 Research Interests: Kellam’s qualitative scholarship centers on culture, power, and identity in engineering education. Employing narrative inquiry, arts-based methods, and speculative design, she investigates marginalized undergraduate experiences, gendered dynamics in makerspaces, neurodivergent faculty assets, and empathy-driven teaching. Her work advances justice-oriented institutional change and inclusive pedagogical innovation. Recent Publication Trends: Her newest corpus couples critical qualitative methodologies with futuristic, equity-centered lenses: speculative Africanfuturist visions for engineering education, AI as a catalyst for human connection, and creative analytic practices within communities of transformation. Across 2024-25 articles she interrogates intersectional power structures, global gender disparities (e.g., Ethiopian women faculty), and neurodivergent researchers’ communal sense-making, signaling a trajectory toward emancipatory, design-driven scholarship. Grants & Recognition: Since 2014 Kellam has attracted over $3.3 million in NSF funding as PI/co-PI, including awards on community-college pathways, makerspace culture, and additive-innovation ecosystems. She leads the interdisciplinary Dream Team and co-developed the EESD doctoral program at ASU. Advising & Mentoring: She presently advises three EESD doctoral students and mentors postdoctoral scholars and junior faculty within her research collective, emphasizing reflexive, collaborative inquiry. Labs & Teams: Kellam heads the Dream Team , a vibrant research group comprising Dr. Brooke Coley (asst. professor), Dr. Audrey Boklage (research scientist), Dr. Anna Cirell (post-doc), and graduate researchers, collaborating on NSF-funded projects addressing makerspace equity and community-college engineering pathways.

Yiling Louمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Programming Languages
• +۵ مورد دیگر

Yiling Lou is an incoming Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign (starting Spring 2026), currently serving as a Pre-tenure Associate Professor at Fudan University. Previously a Postdoctoral Fellow at Purdue University under Prof. Lin Tan, Dr. Lou holds a Ph.D. and B.S. in Computer Science from Peking University supervised by Prof. Lu Zhang and Prof. Dan Hao. Research interests span Software Engineering synergized with Artificial Intelligence and Programming Languages , specifically focusing on LLM4Code, Agent&SE, Vulnerability Detection, and Software Testing/Debugging. Current projects include AgentIssue-Bench for agent system maintenance and INFERROI for enhancing static analysis with LLMs. Research trends show increasing integration of LLMs with traditional SE techniques, particularly in code generation (ClassEval, CodeGen4Libs), debugging (interactive runtime comparison), and vulnerability detection. Recent work emphasizes practical applications in agent systems and resource leak detection. ACM SIGSOFT Distinguished Paper Award (ESEC/FSE 2023) IEEE TCSE Distinguished Paper Award (ICSME 2021) Advises a large research group including 7 Ph.D. and 8 MS students at Fudan University, actively recruiting for UIUC starting Fall 2026. Leads the LLM4Code workshop series and serves on numerous program committees including ICSE, ASE, and FSE. Currently organizing research on Code Agents, Code LLMs, and AI&Security with strong industry relevance. Coordinates the Siebel School research group at UIUC focusing on the intersection of AI and Software Engineering, with particular emphasis on developing robust agent systems for code maintenance and security applications.