جست‌وجوی استاد و پژوهشگر

Yingke Chenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Multiagent Systems
• +۷ مورد دیگر

Dr. Yingke Chen is an Associate Professor at the Department of Computer and Information Sciences, Northumbria University. He holds a PhD in Computing Science from Aalborg University (Denmark) and has conducted postdoctoral research at Queen’s University Belfast (UK) and Georgia University (USA). His research focuses on Artificial Intelligence, particularly machine learning, multiagent systems, and formal methods such as model checking. He has secured over £1.3M in Innovate UK grants, collaborating with industries in transportation, logistics, autonomous systems, and e-commerce to apply AI and data science for business growth. Education: PhD in Computing Science (Aalborg University, 2013). Key research areas include machine learning applications, formal verification, and data-driven decision-making. He has published in top venues like Journal of AI Research, AAMAS, AAAI, and IJCAI. Collaborations involve projects with businesses to address real-world challenges, emphasizing practical solutions through theoretical advancements. His work spans anomaly detection, autonomous systems, and cross-domain data analysis. He is open to supervising PhD students and engaging with media inquiries. Research Grants: Over £1.3M in Innovate UK funding (PI/Co-I). Industry Partnerships: Transportation, logistics, autonomous underwater vehicles, education, and e-commerce sectors. Labs/Teams: Actively involved in interdisciplinary teams applying AI to industrial challenges, though specific lab names are not mentioned.

• Software Engineering
• Gamification
• Empirical Software Engineering
• +۱۱ مورد دیگر

Riccardo Coppola is a tenure-track Assistant Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, Italy. He is affiliated with the College of Management and Production Engineering and the College of Computer, Film, and Mechatronics Engineering. His research and teaching focus on software engineering, gamification, empirical methods, and the integration of artificial intelligence in software development. Education: While formal education details are not explicitly mentioned in the provided text, his academic position and research supervision imply a doctoral degree in a relevant field, likely in Computer Science or Software Engineering. Research Interests: Riccardo's research spans several cutting-edge areas in software engineering and computer science. He investigates gamification in software testing and education, aiming to improve engagement and effectiveness. He explores the application of large language models and AI in software modeling and development, particularly in UML and requirements engineering. His work also addresses accessibility in software development , empirical software engineering , and ethical concerns in AI , such as gender stereotypes in language models. His scientific disciplinary sector is IINF-05/A - Information Processing Systems. Publication Trends: His recent publications (2023–2025) demonstrate a strong focus on the intersection of gamification and software engineering education, particularly using UML and BPMN. There is a growing emphasis on leveraging large language models for automated modeling tasks and analyzing their societal impact. His work is predominantly empirical, involving experimental studies, tool development, and longitudinal analyses, published in top software engineering venues. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Riccardo actively supervises three PhD students: Anna Arnaudo (on AI and software engineering), Lorenzo Laudadio (on gamified end-to-end testing), and Giacomo Garaccione (on gamification and automated techniques). He is a member of the SOFTENG research group and involved in competitive research projects like ASSISTANTS (funded by PNRR Mission 4). He also leads several commercial research and training projects, including the Software Testing Academy and courses on C++ and Python, serving as the Scientific Manager. Labs and Teams: He is a core member of the SOFTENG - Software Engineering Group (DAUIN) at Politecnico di Torino, which focuses on empirical and innovative approaches to software development, testing, and education.

• Sustainable Manufacturing
• Digital Twinning
• Industrial Automation
• +۳ مورد دیگر

Dr Fadi Assad is a Lecturer in Smart, Clean and Green Manufacturing at Cranfield University's Sustainable Manufacturing Systems Centre. His research focuses on integrating digital technologies with sustainable manufacturing practices to address energy efficiency and environmental challenges in industrial settings. With expertise spanning digital twinning, industrial automation, and sustainable manufacturing systems, he contributes to both academic research and practical industrial applications. His educational background includes: PhD in Sustainable Intelligent Manufacturing from the University of Warwick (United Kingdom) MSc in Production Engineering BSc in Industrial Engineering (Mechanical Engineering) Dr Assad's research interests center on the intersection of digital transformation and sustainability in manufacturing. He specializes in developing and implementing digital twin technologies for manufacturing systems to enhance energy efficiency and environmental performance. His work explores how Industry 4.0 and emerging Industry 5.0 concepts can drive sustainable manufacturing practices through intelligent systems design, energy flexibility approaches, and lifecycle management strategies. He investigates the application of virtual engineering and commissioning techniques to optimize manufacturing processes while reducing environmental impact. His publication record demonstrates strong focus on digital twin applications for sustainable manufacturing, with recent work examining energy management in cyber-physical systems, virtual engineering for assembly lines, and predictive maintenance approaches. His research shows a clear progression from fundamental energy optimization techniques toward more comprehensive digital solutions that integrate sustainability metrics throughout the manufacturing lifecycle. The work consistently bridges theoretical concepts with practical industrial applications. Dr Assad currently supervises PhD research with two open positions focusing on Sustainability-oriented Digital Lifecycle Management in Manufacturing-as-a-Service and Utilisation of Generative Artificial Intelligence to Advance Manufacturing Sustainability. His research activities are closely aligned with industrial applications through collaborations with manufacturing companies seeking to implement sustainable digital transformation. As part of the Sustainable Manufacturing Systems Centre at Cranfield University, Dr Assad contributes to a multidisciplinary team focused on developing innovative solutions for sustainable industrial practices. His work integrates with broader research initiatives examining the relationship between digital technologies and environmental sustainability in manufacturing contexts.

Jiasi Shenمشاهده پروفایل

استادیار

• Programming Languages
• Software Engineering
• Program Analysis
• +۳ مورد دیگر

Jiasi Shen is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology. She leads the HKUST Automated Reasoning and Transformation of Software research group. PhD and Master's from Massachusetts Institute of Technology Bachelor's from Peking University Her research focuses on automating software development through program analysis , program transformation , and active learning . She explores how to systematically introduce safety checks, optimize performance, and enable cross-platform adaptation while maintaining core functionality. Recent work includes: Dynamic graph-based fingerprinting for cryptomining detection Benchmarking LLMs for operating system verification tasks Improving program comprehension via deimplicitization techniques She has received the Distinguished Artifact Award at SLE 2017 and serves on program committees for OOPSLA, Onward!, and SPLASH conferences. Her group supervises multiple PhD and MPhil students while developing systems like Konure (database application modeling) and KumQuat (parallel Unix command synthesis).

Mariana Hill Cruzمشاهده پروفایل

پژوهشگر

• Ecosystem Modelling
• Marine Biogeochemistry
• Biogeochemical Modelling
• +۷ مورد دیگر

Mariana Hill Cruz is a Researcher at the GEOMAR Helmholtz Centre for Ocean Research Kiel , within the FB2: Marine Biogeochemistry division and the FE Biogeochemical Modelling department. She has been actively contributing to marine ecosystem research since 2022, focusing on modeling higher trophic levels and their interactions with environmental dynamics in key upwelling systems such as the Humboldt Current and the Western Baltic Sea. She holds a PhD in Biological Oceanography from Christian-Albrechts-Universität zu Kiel (2022), an MSc in Biological Oceanography (2018), and a BSc in Marine Science from The University of Western Australia (2015). Her research interests center on ecosystem modelling , particularly using the OSMOSE model coupled with biogeochemical frameworks. She investigates fish population dynamics, mesopelagic biomass, habitat suitability, and the impacts of climate and fishing pressures. Her work integrates ecological, biogeochemical, and machine learning approaches to understand complex marine systems. The recent publications highlight a strong trend in end-to-end ecosystem modelling , with emphasis on the Northern Humboldt Current System. Her work spans sensitivity analyses of biogeochemical models, comparisons of fish biomass estimation techniques, and the application of machine learning to forecast species habitats under climate change. These studies reflect interdisciplinary efforts combining oceanography, fisheries science, and computational modelling. BMT Oceanica Consulting Marine Science Prize She has served as Principal Investigator for the BMBF-funded Humboldt Tipping (Phase 2) project and was a doctoral researcher in both Humboldt Tipping and CUSCO projects. She has supervised multiple bachelor's and master's interns and is open to advising students in ecosystem modelling. She is an active member of the ICES Working Group on Integrative, Physical-biological and Ecosystem Modelling . Her work is disseminated through peer-reviewed journals, conference presentations, workshops, and preprints. She has contributed to scientific capacity building by teaching courses on ocean upwelling systems, ecosystem modelling with OSMOSE, and scientific communication. Her research is conducted within collaborative international teams, as evidenced by her co-authorship in multi-institutional studies.

• Internet of Things
• Cybersecurity
• Smart Cities
• +۴ مورد دیگر

Dr. Oluwaseun Bamgboye is a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His research focuses on Internet of Things (IoT) , Cybersecurity , and Semantic Technologies , with applications in Smart Cities, Data Quality, and Sensor Networks. He actively publishes in IoT data validation , XAI for cyberattack detection , and real-time analytics . Academic Affiliation: School of Computing Engineering and the Built Environment, Edinburgh Napier University Research Interests: Dr. Bamgboye's work bridges semantic modeling and machine learning to address data consistency in Smart Spaces, enhance cybersecurity through explainable AI (XAI) , and develop IoT-driven decision-making systems . His projects often integrate RDF stream processing and rule-based reasoning for real-time data quality assurance. Publication Trends: His recent articles (2023-2025) emphasize IoT network security , XAI frameworks , and smart city infrastructure . Earlier works (2015-2019) focus on distributed systems fault tolerance , sensor data uncertainty , and web accessibility tools . Key methodologies include neurosymbolic learning , ensemble models , and semantic stream management . Supervision: Dr. Bamgboye supervises PhD projects such as: Enhanced deep learning and semantic-based predictive analytics for reactive IoT streaming data (Talatu Adamu, 2024–present) AI-driven and IoT-assisted explainable smart banking (Fatima Mumtaz, 2024–present) Semantic models for sensor data uncertainty in smart systems (Tawanda Nyakudya, 2022–present) Web accessibility auditing (Collins Ovie, 2023–present)

• Bioinformatics
• Ontology Development
• Biomedical Informatics
• +۷ مورد دیگر

Robert Stevens is a Professor of Computer Science at the University of Manchester, affiliated with the School of Computer Science's Department of Computer Science. He holds roles in the Bio-Health Informatics Group and the Information Management Group, focusing on interdisciplinary research in bioinformatics, ontology development, and semantic technologies. His academic journey includes a B.Sc. in Biochemistry, an M.Sc. in Biological Computation, and a D.Phil. in Computer Science. He has supervised over 10 PhD students, mentoring them in areas such as biomedical semantics, ontology engineering, and accessibility technologies. His research emphasizes managing complex biological data through ontologies, semantic web technologies, and e-Science frameworks like Taverna Workflow Workbench. Notable projects include TAMBIS, a bioinformatics integration system, and contributions to the OpenPHACTS and myGrid initiatives. Stevens teaches courses on ontology languages (OWL) and computational biology, emphasizing practical applications in post-genome biology. His work supports UN Sustainable Development Goals related to advancing health and innovation.

• Computer Vision
• Pattern Recognition
• Digital Cultural Heritage
• +۳ مورد دیگر

FH-Prof. Dr. Markus Seidl is a Professor in the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. He leads the Creative Computing (BA) program and serves as interim head of the Media Computing Research Group within the Institute of Creative Media/Technologies. His roles include academic director and former Managing Director (2015–2020). Seidl holds a PhD in Computer Vision from TU Wien (2016) and has extensive experience in interdisciplinary projects, particularly in digital cultural heritage. His research focuses on computer vision techniques for analyzing rock art (petroglyphs) and enhancing museum experiences through multi-touch interfaces and BYOD integration. Key projects include the Europa Nostra-award-winning rock art analysis work and multi-touch table applications exhibited globally. He has supervised over 20 theses on topics like medieval manuscript analysis and AI-driven cultural artifact understanding. Notable contributions span 120+ publications, including work on 3D surface segmentation, flood level estimation from social media, and interactive museum technologies. His work bridges computer science with archaeology, design, and education, emphasizing experiential learning and technology-driven cultural preservation.

Thomas Irvineمشاهده پروفایل

استاد

• Global History of Music
• Music and the Anthropocene
• Science and Technology Studies
• +۳ مورد دیگر

Professor Thomas Irvine serves as Head of the Department of Music at the University of Southampton. His research focuses on global music history from 1500 CE to the present, incorporating historical sound studies and AI applications in jazz analysis. He leads the Alan Turing Institute's 'Jazz as Social Machine' project and co-produces the podcast Sounding History . Irvine holds affiliations with the Southampton Web Science Institute and the Parkes Institute. His academic journey includes DAAD fellowships at the University of Würzburg and a PhD from Cornell University (2005). Teaching interests span 20th/21st century music, sustainability frameworks in musicology, and British imperial musical histories. Education Violin/Viola Performance: University of Michigan, Shepherd School (Rice University), Indiana University PhD in Musicology, Cornell University (2005) Research Highlights Current projects include a co-authored global music history (1500–present) emphasizing extraction economies and data-driven methodologies. His award-winning monograph Listening to China (2020) redefines early modern Sino-Western musical exchange through sound studies. Recent work bridges AI ethics and jazz improvisation through social machine frameworks. Supervision Currently guiding four PhD candidates researching topics ranging from web science methodologies to 19th century British music. Active in Turing Institute collaborations applying machine learning to cultural heritage datasets. Labs/Initiatives Leadership roles at the Alan Turing Institute's Creative AI program and Southampton's Centre for Music Education and Social Justice. Collaborates with the Web Science Institute on digital musicology projects.

• Approximation Algorithms
• Network Design Problems
• Operations Research
• +۳ مورد دیگر

Barbara M. Anthony is the Lord Chair and Professor of Computer Science at Southwestern University. She holds a PhD from Carnegie Mellon University (2008) and a BA from Rice University (2001). Her expertise spans Approximation Algorithms, Network Design, Operations Research, Graph Theory, and Algorithmic Game Theory. She teaches courses ranging from introductory programming to advanced topics like Theory of Computation and supervises academic internships. Dr. Anthony is actively involved in student research mentorship, leading projects such as algorithm development for course scheduling, transportation optimization, and educational tools like the Surad.io streaming platform. She has secured grants including an NSF S-STEM Award ($614k) and a Google CS Engagement Award ($5k). Notable awards include recognition as an ACM Senior Member and contributions to diversity initiatives like NCWIT Extension Services. She advises UPE (Computer Science Honor Society) and collaborates with nonprofits like Faith in Action Georgetown. Research highlights include work on Doodle Poll voting equilibria (AAMAS 2018), Dial-a-Ride optimization (ATMOS 2019), and bottleneck matching algorithms (COCOA 2022). Over 30 students have conducted research under her guidance, many presenting at conferences like Texas Academy of Sciences and SIGCSE. Her pedagogical innovations include integrating real-world datasets (e.g., UCSC Genome Browser) into coursework and promoting parallel computing concepts in first-year seminars. Affiliations: Department of Computer Science, Southwestern University Grants: NSF S-STEM, Google CS Engagement, NCWIT Labs/Teams: Collaborations with local nonprofits (Faith in Action), tech startups (Surad.io), and interdisciplinary student projects Future Work: Expanding AI ethics education, optimizing university timetabling systems, and fostering diversity in computing

• Web 2.0 for Language Learning
• Social Networking in Education
• Mobile Technologies in Language Learning
• +۳ مورد دیگر

Elwyn Lloyd is a Lecturer and Course Director for English and TEFL at the School of Humanities, Faculty of Arts and Humanities, Coventry University. He specializes in integrating technology into language learning, focusing on Web 2.0 and mobile technologies. Education: M.A. in Language Learning and Technology (University of Hull), DELTA (Cambridge ESOL), Diplomas in Languages for International Communication (Spanish) and Spanish as a Foreign Language, TEFL Certificate (University of Wales), B.Sc. in Applied Sciences (Physics and Geology) (University of Glamorgan) His research explores how digital platforms and social networking enhance language acquisition and intercultural communication. He has published on telecollaboration projects and the role of learner autonomy in online environments. Key Publications examine the intersection of digital tools with pedagogical strategies, including Livemocha.com's role in language practice and MexCo's telecollaborative model for cultural engagement. Professional Contributions: He serves as a Cambridge-approved CELTA teacher trainer and oversees modules like Year 2 TEFL, Year 3 Professional Portfolio, and dissertation supervision.

• Forest Engineering
• Remote Sensing
• Digital Transformation in Forestry
• +۳ مورد دیگر

Christoph Gollob is a researcher at the Institute of Forest Growth within the Department for Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna . His work focuses on integrating advanced technologies like LiDAR and personal laser scanning (PLS) into forestry operations for improved inventory, monitoring, and safety. Gollob leads projects such as Digitization of round wood measurements along the forestry/wood value chain using laser scanning (2024–2027) and contributes to subprojects like Lidar based forest monitoring and harvesting planning (2023–2026). Research Interests: Digital transformation in forestry, remote sensing, forest engineering, tree species classification, and sustainable forest management. Projects: 3 active or completed research projects funded by Austrian federal ministries and the Austrian Research Promotion Agency (FFG). Advising: Supervised 13 theses (7 master’s, 6 diploma) related to laser scanning applications, timber measurement, and forest safety. Media Appearances: 16 media mentions (print, web) discussing digital forestry solutions, including interviews and public outreach on forest monitoring and safety. Presentations: 78 lectures across 10 countries (Austria, USA, Italy, Germany, etc.), with keynotes on digital forestry and human-centered AI. Publications: 106 publications, including high-impact journal articles and conference proceedings on LiDAR, forest inventory, and smart sensor systems.

Marc Hanheideمشاهده پروفایل

استاد

• Robotics
• Human-Robot Interaction
• Agri-Food Robotics
• +۴ مورد دیگر

Marc Hanheide is a Professor at the University of Lincoln, where he serves as Director of the EPSRC Centre for Doctoral Training in Agri-Food Robotics (AgriFoRwArdS), the world's first Centre for Doctoral Training in this field (Grant reference: EP/S023917/1). He is a key member of the Lincoln Centre for Autonomous Systems (L-CAS), leading research in robotics and artificial intelligence through collaborations with the University of Cambridge and the University of East Anglia. His research focuses on long-term human-robot interaction, task planning in uncertain environments, and spatial interaction models. Dr. Hanheide has made significant contributions through the FP7 STRANDS project, CogX project, and the Innovate UK funded 'First Fleet' project, which aims to develop integrated robotic fleets for food production. Analysis of his recent publications reveals a strong focus on developing robots capable of long-term autonomy, adapting to human behavior, and operating effectively in real-world environments. His work shows a strategic evolution from theoretical foundations in robot cognition toward practical applications in agri-food systems. Dr. Hanheide has received recognition through leadership roles in major robotics initiatives and has served as Program Chair for HAI2017 in Bielefeld and Web Chair for HRI 2017 in Vienna. His work has been supported by substantial grants including EPSRC funding for the AgriFoRwArdS Centre. As an educator, he supervises PhD students and has taught MSc courses on Human-Robot Interaction and Learning in Autonomous Systems, including a visiting position at University 'La Sapienza' in Rome where he collaborated with the RoCoCo Lab. His laboratory work centers around L-CAS, where robotic platforms like 'Linda' have been developed and demonstrated publicly at venues including the Natural History Museum in London.

Guillaume Ducoffeمشاهده پروفایل

دانشیار

• Algorithmic Graph Theory
• Computation in Large Graphs
• Parameterized Algorithms
• +۱۲ مورد دیگر

Guillaume Ducoffe is an Associate Professor at the Faculty of Mathematics and Informatics, University of Bucharest, Romania, and a Senior Research Scientist at the National Institute of Research and Development in Informatics (I.C.I.), Romania. He is also affiliated with a joint research team between ICI and the Research Institute of the University of Bucharest (I.C.U.B.). Previously, he was a PhD student at Université Côte d'Azur, France, under the supervision of David Coudert, within the COATI project-team at Inria Sophia Antipolis. PhD, Université Côte d'Azur, France (2016) Master's Thesis, MPRI-ENS Cachan (2013) His research centers on algorithmic graph theory , with emphasis on computation in large graphs , including parameterized algorithms for problems like Diameter and Maximum Matching. He investigates metric tree-likeness in real-life networks through Gromov hyperbolicity, which has implications for routing efficiency and congestion. His work extends to information propagation using game-theoretic models such as coloring and hedonic games, and to online targeting detection , where he develops theoretically sound algorithms to uncover sensitive attribute targeting on the web via reductions to PAC learning of k-juntas. He also explores combinatorial topics like proper connectivity and Randic indices with applications in cryptography and chemistry. The analysis of his recent publications reveals a strong trend in theoretical computer science , particularly in the design and complexity of graph algorithms, structural graph properties, and their applications in network science and privacy. His work bridges pure graph theory with practical concerns in data centers, web transparency, and social networks. Guillaume Ducoffe has made significant contributions to both journal and conference literature, publishing in venues such as Discrete Applied Mathematics , SIAM Journal on Discrete Mathematics , ACM SIGMETRICS , and USENIX Security . His research is highly interdisciplinary, combining insights from algorithms, game theory, and network analysis. He actively supervises and mentors students, though specific names are not listed in the provided materials. He has been involved in research grants, including a postdoc grant from I.C.U.B., and has collaborated with prominent researchers such as David Coudert, Nicolas Nisse, Augustin Chaintreau, and Roxana Geambasu. His teaching includes core courses such as Data Structures and Algorithms , Advanced Graph Algorithms , and Advanced Programming Techniques at the University of Bucharest. Guillaume Ducoffe is a key member of collaborative research initiatives, including the joint ICI-I.C.U.B. team and the former COATI project at Inria. His work continues to advance the theoretical foundations of graph algorithms while addressing pressing issues in web transparency and network design.

• Parenting Programs
• Child Behavioral Problems
• Early Childhood Intervention
• +۴ مورد دیگر

Judy Hutchings is a Professor of Psychology at Bangor University's School of Psychology and Sports Science and Co-Director of the Centre for Evidence Based Early Intervention. She has over four decades of experience in clinical psychology, focusing on parenting programs for socially disadvantaged children, bullying prevention through the KiVa program, and global health interventions in low/middle-income countries. Her work spans collaborations with Welsh/UK governments, WHO, UNICEF, and NGOs. Awarded OBE in 2011 for services to children Established the Centre for Evidence Based Early Intervention (2002) Co-developed Parenting for Lifelong Health (global south program since 2012) Principal investigator for NIHR-funded KiVa RCT (11,000 children) Research Interests: Parenting interventions for behavioral issues, school readiness, online parenting support (COPING), cross-cultural adaptation of programs, and violence prevention. Her work integrates clinical practice with economic evaluations and implementation science. Recent articles demonstrate expertise in Dialogic book-sharing programs (2025) Latent transition analysis of parenting programs (2025) Feasibility of school-based interventions (2024) Global implementation challenges (2024) Teacher classroom management (2023) Awards: OBE (2011) Advising: Supervised numerous Masters/PhD students since 2000. Current projects focus on Montenegrin Roma community parenting programs and neurodiversity support. Labs/Teams: Leads the Centre for Evidence Based Early Intervention at Bangor University, collaborating with international teams in South Africa, Philippines, Thailand, and Eastern Europe.