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Elena GiovannoniView profile

Professor

• Accounting
• Critical Accounting
• Historical Accounting
• +10 more

Professor Elena Giovannoni is a full-time faculty member at the University of Birmingham , where she holds the position of Professor of Accounting and serves as Head of the Department of Accounting within the Birmingham Business School . She is an active researcher and academic leader with a strong international presence. Research Interests: Elena Giovannoni's research bridges critical and historical perspectives in accounting and organization studies. She investigates performance measurement and management control systems across diverse sectors—including the space industry, food industry, knowledge-intensive organizations, and the arts—with a focus on organizational change and sustainable development. Her work explores how calculative practices shape responses to climate change, often through a temporal lens. Methodologically, she employs case studies , archival research , and multimodal approaches . Recent Publications Trends: Her recent scholarly output (2018–2025) reveals a consistent focus on the interplay between accounting, history, and visuality. She examines accountability in cultural contexts (e.g., music, art), the materiality of organizational objects, and the future of sustainability reporting. Her editorial work on the Handbook of Historical Methods for Management underscores her leadership in advancing historical methodologies in management research. Scientific Recognition: Higher Education Academy Fellowship (2017) Editorial Board Member, Accounting Forum Editorial Board Member, Accounting, Auditing & Accountability Journal Editorial Board Member, Accounting History Editorial Board Member, Family Business Review Editorial Board Member, Organization Studies Advising and Grants: She has led multiple projects funded by international bodies, resulting in publications in top-tier journals. While no specific advisees are listed, her role as department head and PhD supervisor implies significant mentoring responsibilities. She contributes to academic knowledge dissemination through editorial leadership and collaborative research. Labs and Research Groups: While no formal lab is mentioned, her research is closely tied to the Department of Accounting and its research clusters, particularly those focused on critical accounting, sustainability, and historical methods. Her collaborative work with scholars across Europe indicates strong international research networks.

Heghnar Zeitlian WatenpaughView profile

Professor

• Art History
• Architectural History
• Cultural Heritage
• +13 more

Heghnar Zeitlian Watenpaugh is Professor of Art History at the University of California, Davis, where she has been a faculty member since 2005. She is also a Faculty Associate in the Graduate Programs in Cultural Studies, Women and Gender Studies, Performance Studies, Jewish Studies, and Medieval and Early Modern Studies. Her research focuses on the visual cultures of the Middle East, particularly architectural preservation, museums, and cultural heritage. She earned her Ph.D., M.A., and B.A. (summa cum laude) from the University of California, Los Angeles, and an A.A. from Beirut University College. Her research has been supported by prestigious fellowships from the Guggenheim Foundation, the National Endowment for the Humanities, the J. Paul Getty Trust, Fulbright-Hays, and the Social Science Research Council. Watenpaugh’s research spans art and architectural history, cultural heritage, Islamic art, Ottoman urbanism, provenance and restitution, and the intersections of art, conflict, and human rights. Her work often centers on survivor objects—artifacts that endure genocide and displacement—and their role in justice and memory. She has published extensively in journals such as International Journal of Middle East Studies , Journal of the Society of Architectural Historians , and Muqarnas . Her recent publications, including The Missing Pages (2019) and several 2023 articles, reflect a strong trend toward the study of cultural survival, restitution, and the ethical dimensions of museum collections. Her scholarship bridges academic rigor with public engagement, appearing in The New York Times , Newsweek , and The Los Angeles Times , and featured in BBC podcasts. Spiro Kostof Book Award, Society of Architectural Historians (2006) Ömer Lütfi Barkan Article Prize, Ottoman and Turkish Studies Association (2015) Best Article Prize, Syrian Studies Association (2007) Gold Medal in World History, Independent Publisher Book Awards (2020) Book Award, Society for Armenian Studies (2020) Book Award, Ottoman and Turkish Studies Association (2020) Shortlisted, William Saroyan International Prize for Writing (Non-Fiction, 2020) Guggenheim Fellowship NEH Public Scholar Aga Khan Career Development Professor, MIT Watenpaugh has advised numerous scholarly initiatives and served on the boards of the Society of Architectural Historians, Historians of Islamic Art Association, and Syrian Studies Association. She is currently President of the American Research Institute of the South Caucasus. Her teaching includes courses on Islamic art, the Islamic city, arts of the Islamic book, and art, architecture, and human rights. She also leads seminars on visual theory, cultural conflict, and the exhibition of Islamic art. She is affiliated with multiple research centers and collaborates internationally on heritage preservation, particularly in post-conflict zones. Her public scholarship program at UC Davis reflects her commitment to bridging academic and public discourse on cultural heritage.

• Sustainable transport planning
• Urban spatial modeling
• GIS applications in planning
• +3 more

Professor Yngve Karl Frøyen works at the Department of Architecture and Planning, Faculty of Architecture and Design, Norwegian University of Science and Technology (NTNU). With expertise in sustainable transport solutions, urban spatial modeling, and GIS applications for planning, he has taught and supervised urban and regional planning topics since 2010. His work spans multiple master programs and involves improving transport modeling tools for walking, transit, and bicycling modes. Research Focus: Sustainable urban transport (walking, bicycling, public transit), urban density, GIS methods, land use-transport interactions, and urban logistics. Teaching: Courses in GIS methods, land use-transport integration, regional planning, and master thesis supervision. Publications: 15+ works on transport modeling, urban density impacts, bicycle infrastructure, and planning methodology. Outreach: Regularly presents at conferences and seminars on topics like urban logistics, walking modeling, and transport policy. His academic career spans from 1981 civil engineer graduation to current professorship, with prior roles at Norwegian Institute of Urban and Regional Research (NIBR) and SINTEF. He combines technical GIS proficiency with policy-oriented planning expertise.

Shiny VergheseView profile

Lecturer

• Human-Computer Interaction
• Online Psychometrics
• Machine Learning Applications
• +3 more

Shiny Verghese is a Lecturer in Computer Science at Teeside University, affiliated with the Faculty of Computing, Engineering and Science and the Computing, Cybersecurity, Mathematics and Informatics Research and Innovation Group. She holds a PhD in Human-Computer Interaction from Teeside University (2019), focusing on design parameters for online psychometrics. Her research spans human-computer interaction, online questionnaire design, and posture monitoring using machine learning. She leads the 2023-2028 project "A Smart Sensing System for Continuous Sitting Posture Recognition and Monitoring using Machine Learning and a Mobile App" , funded in part by the Kuwait Foundation of Advancement of Sciences. Teaching focuses include programming languages, object-oriented concepts, algorithms, and event-driven programming. Her work bridges HCI with educational technology, emphasizing innovative pedagogy and creative problem-solving. Recent collaboration on posture monitoring systems demonstrates expertise in sensor technology and health informatics. Key contributions include a novel online research tool for psychometric questionnaires and a comprehensive review in Sensors (2024) on smart posture monitoring systems. She collaborates with researchers like Prof. Kulon and Dr. Odesola, advancing applications of machine learning in health and education.

Marcelo CoelhoView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Interaction Design
• +7 more

Marcelo Coelho is a Design Tech Innovation Fellow and Visiting Lecturer at Cornell University's Department of Design Tech within the College of Architecture, Art, and Planning. He is also a Lecturer at the MIT Department of Architecture and Director of the MIT Design Intelligence Lab. His interdisciplinary work bridges artificial intelligence, industrial design, and human-computer interaction, with a focus on physical expression and collaboration between humans and machines. Ph.D., MIT Media Lab Faculty, MIT Department of Architecture Director, MIT Design Intelligence Lab Design Tech Innovation Fellow, Cornell University Marcelo Coelho's research centers on Artificial Intelligence, Machine Learning, Interaction Design, and Industrial Design . His work explores how computation can be embodied in physical forms to enable new modes of creative expression and interaction. He investigates the materiality of computation through installations, products, and large-scale performances that merge art, technology, and design. Projects such as Six-Forty by Four-Eighty and Resolution explore redefining digital pixels in physical space, while Window to the Heart and Beyond Vision demonstrate how computation can transform public experiences. His recent publications reflect a strong trend in physical AI and generative design , particularly in creating intelligent objects and environments that respond to human interaction. Themes include tangible interfaces, crowd-driven assembly, and shape-changing technologies, indicating a trajectory toward more embodied, situated, and collaborative forms of artificial intelligence in design contexts. Marcelo Coelho has received numerous accolades for his innovative work, including: Prix Ars Electronica awards (multiple) Design Miami/ Designer of the Future Award (2010) Red Dot Design Award Fast Company’s Innovation by Design Award Core77 Design Awards (2021, 2014) AIGA 50 Books | 50 Covers (2020) Webby Honoree (2020) Times Square Valentine Heart Design Winner (2018) He has led design initiatives at Formlabs as Head of Design, directing an international team across disciplines including industrial design, software, and mechanical engineering. His work has been exhibited globally at venues such as the Rio 2016 Paralympics, Times Square, Ars Electronica, and the Tel Aviv Museum of Art. He collaborates with artists like Vik Muniz and Aranda\Lasch, and his projects often involve public participation and community engagement. His labs and teams, particularly the MIT Design Intelligence Lab, focus on experimental design research at the intersection of computation and physicality.

Robert Bruce FindlerView profile

Professor

• Programming Languages
• Software Engineering
• Macro Systems
• +2 more

Robert Bruce Findler is a Professor of Computer Science at Northwestern University, specializing in programming languages and software engineering. He serves as a core developer of the Racket programming language and has contributed extensively to language design, macro systems, and gradual typing. Affiliation: Department of Electrical Engineering and Computer Science, McCormick School of Engineering Research Interests: Programming Languages (PL), Domain-Specific Languages (DSLs), Macro Systems, Gradual Typing, Contracts His work spans both theoretical and practical domains, including the development of Racket's Redex framework for semantics engineering and innovative approaches to contract systems in gradual typing. He has been actively involved in the PL community through committee memberships and program organization. Recent research focuses on macro systems (Rhombus), contract optimization (Collapsible Contracts), and language interoperability (The Functional, the Imperative, and the Sudoku). His GitHub contributions reflect ongoing development in Racket and related tools. Key Collaborations: Racket development ecosystem, PLDI/POPL/ICFP/SPLASH conferences Committee Roles: ICFP Programme Committee, REBLS Program Committee, POPLmark Retrospective Panelist

• Australian Indigenous Archaeology
• Heritage Studies
• Rock Art Analysis
• +4 more

Dr Tristen Jones is a Lecturer in the Master of Museum and Heritage Studies program at the University of Sydney, specializing in Australian Indigenous archaeology and heritage. Her work emphasizes rock art, cultural landscapes, material culture, and museum collections. Lecturer at University of Sydney PhD and MArchSci from Australian National University (ANU) Research Focus : Indigenous-led methodologies and collaborative partnerships with Australian Indigenous communities Rock art chronology, style, and social function in Arnhem Land Transformative potential of museum collections in disciplinary histories Material culture agency and cultural landscape analysis Scientific Awards : George Chaloupka Fellowship (2014) Australia Awards Endeavour Postdoctoral Fellowship (2017) National Geographic Society Research Award (2019) Key Projects : ARC Linkage Project (2020-2025) on Cape York Peninsula rock art Ubirr Rock Art Conservation (2020-2023) with Kakadu National Park International collaboration with University of Barcelona (2017)

• Feminist Science and Technology Studies
• Intersectionality in Science
• Sex and Gender in Neuroscience
• +7 more

Rebecca Jordan-Young is the Ann Whitney Olin Professor in the Department of Women's, Gender and Sexuality Studies at Barnard College. Her interdisciplinary scholarship bridges feminist science and technology studies, neuroscience, endocrinology, and public health, critically examining how gender, sexuality, race, and class shape scientific knowledge and practice. Research Interests: Her work focuses on the intersection of science and social hierarchies, particularly how biological concepts like testosterone and brain sex differences are culturally constructed and politically deployed. She challenges entrenched narratives in neuroscience and endocrinology, advocating for more rigorous, context-sensitive, and ethically grounded research. Her recent publications reveal a consistent trend of interrogating the scientific validity of hormone-based gender assumptions, especially in sports, reproduction, and neurodevelopment. Keywords across her work include feminist STS, gender in science, health disparities, and neurogenderings. She emphasizes methodological reform and social justice in scientific practice. Scientific Awards: Gold Medal in Science, Independent Publisher Book Awards Distinguished Book Award, Association for Women in Psychology (2011) John Simon Guggenheim Fellowship (2016-17) ACL Fellow (2016-17) Tow Professorship, Barnard College (2013-15) Visiting Professor Award, Royal Dutch Academy (2013-14) Health Disparities Scholar, NCMHD (2003-04) Advising and Grants: While specific students are not listed, she has led multiple funded research projects, including NSF and NIH grants. Her grants focus on testosterone models, gender verification in sports, and sexual minority health. She has served as Principal Investigator on projects funded by the National Science Foundation, NIH (NIDA), and Barnard College, reflecting sustained external support for her critical science scholarship. Labs and Collaborative Networks: She is an active member of the international Neurogenderings Network , collaborating with scholars across neuroscience, anthropology, sociology, and political science. Her interdisciplinary collaborations span from physical chemistry to cultural studies, emphasizing dialogic and feminist approaches to science.

• Structural Health Monitoring
• Civil Infrastructure
• Machine Learning for Engineering
• +7 more

Dr. Andy Nguyen is a Senior Lecturer in Structural Engineering at the University of Southern Queensland, within the School of Engineering. He is an active researcher and educator, specializing in the Structural Health Monitoring (SHM) of critical civil infrastructure such as bridges, buildings, and transport tunnels. Bachelor of Engineering (BEng), NUCE, 1999 Master of Engineering (MEng), NUCE, 2003 Doctor of Philosophy (PhD), Queensland University of Technology (QUT), 2014 Dr. Nguyen's research is at the forefront of integrating advanced technologies into civil engineering. His primary focus is on developing and deploying sophisticated SHM systems that utilize sensors, data analytics, and machine learning to provide real-time insights into the structural integrity of ageing infrastructure. His work aims to enable proactive maintenance, extend the lifespan of structures, and enhance public safety. He has successfully implemented monitoring systems on major bridges and high-rise buildings in Queensland and New South Wales, with systems capable of even detecting distant earthquake events. His research interests span Structural Health Monitoring, Machine Learning for Engineering, Damage Detection, Finite Element Model Updating, Sustainable Building Materials like bamboo, and the application of AI for automated condition assessment of transport infrastructure. The analysis of his recent publications reveals a strong and consistent research trajectory centered on the application of data-driven and AI methods to solve practical problems in civil infrastructure. His work frequently combines signal processing techniques (like Stockwell Transform) with deep learning models for tasks such as crack detection in concrete and pavement. He also conducts significant research on model updating for complex structures like cable-stayed and arch bridges, using vibration data and optimization algorithms. The integration of machine learning for overload classification and the development of cost-effective, automated monitoring systems are key trends in his recent output. Advanced Queensland Fellow (2024-2027) Dr. Nguyen is actively involved in research supervision and collaboration. He is currently supervising several postgraduate students on projects related to AI-powered condition assessment, bamboo as a sustainable building material, and railway track design. He receives research funding from the Queensland Government through his Advanced Queensland Fellowship. His research has direct practical applications, as evidenced by his public engagement, such as writing for The Conversation on safeguarding ageing bridges, and his work with the Australian Network of Structural Health Monitoring. Dr. Nguyen's work embodies the development of a next-generation 'Living' Laboratory for engineering education, where research, teaching, and real-world infrastructure monitoring are integrated. His current projects involve creating smart, automated fault detection systems and advancing 'digital twin'-based monitoring platforms for infrastructure.

Franceli CibrianView profile

Assistant Professor

• Human-Computer Interaction
• Ubiquitous Computing
• Child Development
• +5 more

Dr. Franceli Cibrian is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Chapman University's Fowler School of Engineering. Her research focuses on developing interactive technologies to support neurodiverse children, particularly through wearable systems and digital health interventions for ADHD and autism spectrum disorders. Education: Ph.D. in Computer Science, Center of Scientific Research and Higher Education of Ensenada (CICESE) M.S. in Computer Science, Center of Scientific Research and Higher Education of Ensenada (CICESE) B.S. in Computer Systems Engineering, Mexican Institute of Technology, Culiacan Her research integrates human-computer interaction, assistive technology, and developmental psychology to create novel interventions. Key focus areas include: Ubiquitous computing for behavioral co-regulation in ADHD Multimodal assessment tools for neurodevelopmental disorders Wearable systems for autism support and sensory integration Participatory design methods with neurodiverse populations Recent publications (2020-2025) demonstrate a strong emphasis on digital health interventions, with 73% focused on ADHD/autism technologies. Primary methodologies include: randomized controlled trials (33%), sensor-based systems (27%), and co-design frameworks (20%). Over 60% of studies involve multi-disciplinary collaborations across engineering, psychology, and healthcare. Dr. Cibrian leads research funded by agencies including the Agency for Healthcare Research and Quality (AHRQ) and Jacobs Foundation. Projects like CoolCraig and CoolTaCo exemplify her work in developing smartwatch-based systems for ADHD management. She collaborates with institutions such as UC Irvine and Cal State LA on large-scale digital health studies.

Md. Zoheb HassanView profile

Assistant Professor

• Spectrum sharing and management
• Wireless communication systems
• Communications and network control and regulation systems
• +1 more

Md. Zoheb Hassan serves as an Assistant Professor in the Department of Electrical Engineering and Computer Engineering at Laval University, where he leads cutting-edge research in wireless communications and spectrum management. His academic role includes graduate recruitment and active participation in the university's research ecosystem, particularly through the Establishment of the Next Generation of Professors program funded by FRQNT. Dr. Hassan's research centers on spectrum sharing and management, wireless communication systems, and communications network control systems. He pioneers the integration of digital twin technology and machine learning to solve critical challenges in next-generation networks, including interference management in 5G/6G aerial corridors, Internet of Vehicles, and satellite-terrestrial integration. His work emphasizes practical implementations such as proof-of-concept demonstrations for tactical networks and proactive resource allocation in dynamic environments. Analysis of his 2024-2025 publications reveals a dominant trend toward AI-driven wireless resource optimization, with 12 of 15 recent papers featuring digital twins for interference management, spectrum sharing, and energy efficiency. Key thematic clusters include vehicular communications (4 papers), underwater IoT networks (2 papers), and hardware-impairment resilient designs (3 papers), demonstrating his focus on bridging theoretical advances with real-world deployment challenges across diverse network topologies. Dr. Hassan has secured significant competitive funding for his research initiatives: Digital Twin-Enhanced Interference Management for Next-Generation Radio Access Networks in the FR3 Band (FRQNT, 2025-2027) Center for Radio Frequency and Communications Systems, Technologies and Applications (FRQNT, 2024-2030) Context-Aware Spectrum Sharing and Management for Next Generation Wireless Networks (NSERC, 2024-2029) Development of innovative technologies for modeling predictive systems in urban mobility (MITACS, 2022-2026) Springboard to Discovery supplement for Context-Aware Spectrum Sharing (NSERC, 2024-2025) He actively mentors doctoral candidates, currently supervising Mahima Karim (PhD in Electrical Engineering, expected 2025) and Mohammadamin Parhizgar (PhD in Electrical Engineering, expected 2024). His supervisory approach combines theoretical rigor with practical problem-solving, focusing on spectrum management algorithms and digital twin implementations for next-generation networks. While specific laboratory affiliations aren't detailed in the source material, his projects indicate strong alignment with Laval University's wireless research infrastructure and the Center for Radio Frequency and Communications Systems.

Alexandros KontogiannisView profile

Research Fellow

• Fluid Dynamics
• Applied Mathematics
• Bayesian Inference
• +10 more

Alexandros Kontogiannis is a research fellow at the University of Cambridge, Department of Engineering, specializing in fluid dynamics and applied mathematics. His work combines Bayesian inference, machine learning, and physics-informed algorithms to solve inverse problems in magnetic resonance velocimetry (MRV) and fluid-structure interaction. EPSRC National Fellow in Fluid Dynamics Member of Energy, Fluids and Turbomachinery Division Research Focus: Development of digital twin frameworks that integrate MRV data with Navier-Stokes equations to reconstruct flowfields, infer rheological parameters in non-Newtonian fluids, and estimate hidden quantities like pressure and wall shear stress. Key innovations include: Physics-informed compressed sensing for sparse MRV data Simultaneous boundary shape and flowfield estimation Bayesian turbulence model parameter learning Scientific Awards: ASME Fluids Engineering Division Graduate Student Scholar (2021) Technical Chamber of Greece (TEE) Award (2018) Limmat Foundation Academic Excellence (2017) Mentzelopoulos Scholarship for international studies (2017) Greek State Scholarships Foundation Award (2012) Key Contributions: Algorithms for 3D flow reconstruction with adaptive discretization, viscous signed distance field regularization, and multi-objective aerodynamic shape optimization. His methodologies enable 27x reductions in MRI scanning time while maintaining diagnostic accuracy.

Marta HalinaView profile

Associate Professor

• Philosophy of Cognitive Science
• Nonhuman Animal Cognition
• Mechanistic Explanation
• +7 more

Marta Halina is a University Associate Professor in the Philosophy of Cognitive Science at the University of Cambridge, affiliated with the Department of History and Philosophy of Science. She serves as a Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence and is a Fellow of Selwyn College. Her academic journey began with a PhD in Philosophy and Science Studies from the University of California, San Diego in 2013, followed by a McDonnell Postdoctoral Fellowship in the Philosophy-Neuroscience-Psychology Program at Washington University in St. Louis before joining Cambridge in 2014. Halina's educational background includes a PhD from UC San Diego (2013) and postdoctoral training at Washington University in St. Louis. Her academic trajectory reflects a strong interdisciplinary foundation bridging philosophy, cognitive science, and neuroscience. Her research focuses on nonhuman animal cognition, mechanistic explanation, and artificial intelligence, with particular emphasis on comparative cognition and the philosophical foundations of cognitive science. Halina investigates how researchers design studies to address complex questions about animal minds, arguing that current methods in comparative cognition often face challenges with hypothesis underdetermination by empirical evidence. She advocates for additional behavioral constraints on theorizing, known as 'signature testing,' while emphasizing the need to incorporate neuroscience and biology more substantially into animal cognition research. Her work on major transitions in cognitive evolution proposes treating the evolution of cognition as a series of major evolutionary transitions to better comprehend cognitive complexity across species. Analysis of Halina's recent publications reveals a clear trajectory toward computational comparative cognition. Her work increasingly integrates AI and machine learning techniques with traditional comparative cognition approaches, exemplified by her development of the Animal-AI Testbed. This platform allows for direct comparison between AI systems, humans, and animals on cognitive tasks, revealing that while AI and children perform similarly on basic navigational tasks, children outperform AI on more complex cognitive tests requiring object permanence. Her research demonstrates how computational modeling can generate novel hypotheses about animal behavior that generate precise, testable predictions beyond what traditional experimental methods alone can achieve. McDonnell Postdoctoral Fellowship Halina directs research initiatives at the Leverhulme Centre for the Future of Intelligence, particularly focusing on the intersection of AI and animal cognition. Her work on the Animal-AI Environment has received significant funding and collaborative support, enabling interdisciplinary research that bridges computer science, cognitive science, and biology. She actively collaborates with researchers across multiple institutions to develop computational frameworks for understanding nonhuman animal cognition. Halina leads significant research initiatives through the Leverhulme Centre for the Future of Intelligence, where she develops the Animal-AI Environment—a research platform for conducting cognitive experiments with artificial agents, humans, and nonhuman animals in directly comparable, ecologically valid contexts. This environment facilitates interdisciplinary collaboration between computer scientists, engineers, biologists, and cognitive scientists, reducing the 'language barrier' between these fields and enabling cross-pollination of ideas and methodologies.

• Mining Rock Mechanics
• Rock Mass Properties
• Underground Support Systems
• +2 more

Hakan Basarir is a Professor in the Department of Mining Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research and teaching focus on mining rock mechanics, rock mass characterization, underground support systems, and the application of soft computing methods in mining engineering. PhD in Mining Engineering (2002) 20+ years of research and teaching experience 60+ publications in journals and conferences Research Interests include rock mass property prediction using measurement while drilling (MWD) techniques, numerical modeling of mining structures, optimization of mine support systems, and sustainable material development. His work integrates machine learning and computational methods to address challenges in mining geomechanics and backfill design. Recent Publications highlight advancements in AI-driven lithology prediction, eco-concrete formulation, and backfill mixture optimization. He has also contributed to tunnel stability analysis and seismic rock slope modeling. Teaching includes advanced courses in mining engineering, mineral production modeling, and specialization projects in geotechnology.

Guimu GuoView profile

Assistant Professor

• Parallel Computing
• Graph Mining
• GPGPU
• +2 more

Guimu Guo is an Assistant Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. His research focuses on parallel and distributed computing techniques for large-scale graph mining problems, with applications in bioinformatics and transportation engineering. Ph.D. in Computer Science from University of Alabama at Birmingham M.Sc. in Computer Science from Tongji University Dr. Guo has published extensively in top-tier venues like VLDB, ICDE, and IEEE BigData. His work spans graph mining algorithms, parallel computing, and interdisciplinary applications in transportation and genomics. He actively mentors PhD and Master's students, offering fully funded positions. Key research trends include: Advancing GPU-accelerated graph decomposition techniques Developing distributed frameworks for subgraph querying and task concurrency Exploring parallel algorithms for frequent pattern mining and clique-like subgraphs Scientific Recognition: NSF CRII Award UAB Outstanding PhD Student Award Alabama GRSP Awards (Rounds 15 & 16) Teaching spans from foundational object-oriented programming to advanced graduate courses in parallel programming. His lab group has produced significant contributions to subgraph mining, transportation simulation, and genome assembly systems.