جست‌وجوی استاد و پژوهشگر

Michael Neriمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Audio Processing
• +۳ مورد دیگر

Michael Neri is a Researcher in Audio Signal Processing at Tampere University and a Ph.D. student in Applied Electronics at Roma Tre University. His primary affiliation is with the Department of Signal Processing at Tampere University. He holds a B.Sc. in Information Engineering from the University of Padua (2019) and an M.Sc. in ICT for Internet & Multimedia from the University of Padova (2021). He was a visiting PhD student at Tampere University of Technology in 2023. His research focuses on Audio Processing, Computer Vision, and Deep Learning, with applications in safety and security. Key projects include RAILGAP (EU Horizon 2020), which uses GNSS for rail positioning, INSECTT (ECSEL EU Project) for secure IoT-AI systems, and ISEEYOO (University of Padova Grant) for anomaly detection in Cyber-Physical Systems. He has also contributed to the ESA-funded VOLIERA project on multi-sensor railway positioning. Neri's work spans environmental sound classification, speaker localization, and AI-driven multimedia quality assessments. His research is supported by grants from the European Union and ESA programs. He actively collaborates on projects addressing occupational safety through VR integration and anomaly detection in audio signals. Contact him via michael.neri@tuni.fi or his professional profiles on ResearchGate and GitLab .

Jinqiu Yangمشاهده پروفایل

دانشیار

• Software Engineering
• Automated Program Repair
• Software Testing
• +۴ مورد دیگر

Jinqiu Yang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on software reliability, automated program repair, software testing, and quality assurance of machine learning systems, particularly in autonomous vehicles. He holds a PhD and MASc from the University of Waterloo and a B.Eng. from Nanjing University. Yang has been a tenure-track faculty member at Concordia since 2018, following research roles at IBM Watson and IBM CAS. Research Interests: Automated Program Repair Software Testing Machine Learning Systems Text Analytics of Software Artifacts Mining Software Repositories Autonomous Systems Quality Assurance Key Contributions: His recent work includes detecting concept drifts in ML systems (ICSE-25) and investigating social bias in LLM-generated code (AAAI-25). He leads the O-RISA Lab and has authored over 50 peer-reviewed publications, including distinguished papers at MSR-2018. Yang currently holds grants such as the NOVA FRQNT-NSERC Program (2024-2027) and the NSERC Discovery Grant (2019-2025). Service & Awards: Editorial Board Member of the Empirical Software Engineering Journal (EMSE) and active PC member in top venues like ICSE and FSE. Recipient of the IBM CAS Fellowship and ACM SIGSOFT Distinguished Paper Award. Teaching & Students: He mentors students in Master's and PhD programs, with funding available. His lab focuses on cutting-edge topics like secure code generation and autonomous vehicle reliability.

• Machine Learning
• Algorithm Optimization
• Neural Networks
• +۴ مورد دیگر

Kyungmi Joanne Lee is a Senior Lecturer at James Cook University (JCU), Australia, specializing in Computer Science and Artificial Intelligence. She holds a PhD in Computer Science from Griffith University (2007) and previously served as a Lecturer at Charles Sturt University (2007–2008). Her research focuses on machine learning, algorithm optimization, neural networks, data mining, and applied AI. Key projects include developing real-world scheduling systems for mining operations, ultrasonic signal classification, and spatio-temporal trajectory analysis. Teaching responsibilities include modules like Database Modelling, where she coordinates and lectures. She currently supervises 5 PhD students, with 3 nearing completion. Her work spans diverse applications, such as emergency management through geospatial data analysis and curriculum development via text mining. With 58 publications across journals and conferences, her contributions highlight interdisciplinary approaches to data-driven solutions.

Loutfouz Zamanمشاهده پروفایل

دانشیار

• User research in gaming
• Game analytics and data science
• Game evaluation and testing
• +۲ مورد دیگر

Dr. Loutfouz Zaman is an Associate Professor in the Game Development and Interactive Media department at Ontario Tech University , part of the Faculty of Business and Information Technology . He holds a PhD in Computer Science with a focus on Human-Computer Interaction from York University. His research explores visual programming interfaces, game analytics, and extended reality technologies, with a focus on practical applications such as automated bug detection and user experience optimization. Dr. Zaman has collaborated on projects funded by MITACS, NSERC, and industry partners, addressing challenges in healthcare incident management, language learning gamification, and air traffic control simulation training. He teaches courses ranging from introductory game math to graduate-level topics in human-computer interaction and machine learning for game analytics. Education: Bachelor of Science in Computer Science (Software Systems) – Concordia University Master of Science in Computer Science (Human-Computer Interaction) – York University PhD in Computer Science (Human-Computer Interaction) – York University Research Interests: Dr. Zaman’s work spans user research in gaming, game evaluation methodologies, and emerging technologies like AR/VR. His team focuses on developing tools for visual game analytics and automated testing, with recent projects including mixed reality fitness gaming interfaces and deep learning-based bug detection systems. Grants & Collaborations: His industry partnerships include projects on healthcare incident management during pandemics, CRM gamification, and pet identification systems using computer vision. He actively seeks doctoral candidates to expand research in visual analytics, XR technologies, and automated bug detection. Labs & Affiliations: Dr. Zaman is affiliated with the Software and Informatics Research Centre (SIRC) and contributes to the university’s efforts in bridging academic research with real-world applications.

Nehal Bhutaمشاهده پروفایل

استاد

• Public International Law
• Human Rights Law
• International Humanitarian Law
• +۶ مورد دیگر

Professor Nehal Bhuta holds the Chair of Public International Law at the University of Edinburgh and co-directs the Edinburgh Centre for International and Global Law. Previously, he was Chair of Public International Law at the European University Institute (EUI) and Co-Director of its Academy of European Law. His research spans doctrinal, historical, and theoretical issues in international law, international humanitarian law, human rights law, and international criminal law. He is an editorial board member of the European Journal of International Law , Journal of International Criminal Justice , and Constellations , and a founding editor of Humanity . Research interests include the historical foundations of international law, social rights, autonomous weapons systems, and legal responses to global challenges like state fragility. Recent works address the transition of human rights frameworks and the application of AI in legal contexts. Bhuta has co-edited influential volumes such as Freedom of Religion, Secularism and Human Rights (OUP) and Autonomous Weapons Systems - Law, Ethics, Policy (CUP). His academic trajectory includes faculty roles at the New School for Social Research and University of Toronto, alongside prior work with Human Rights Watch and the International Center for Transitional Justice. He advises on legal and policy frameworks for global governance, including refugee rights and armed conflict ethics.

Tim Frenchمشاهده پروفایل

دانشیار

• Logic
• Artificial Intelligence
• Knowledge Representation and Reasoning
• +۵ مورد دیگر

Tim French is an Associate Professor in the Department of Computer Science and Software Engineering at the University of Western Australia's School of Physics, Maths and Computing. He is affiliated with the UWA Oceans Institute and serves as Regional Contest Director for the South Pacific Programming Contest and Programme Chair for the Australasian Conference on Artificial Intelligence 2022. His research focuses on logic, artificial intelligence, knowledge representation, and reasoning about uncertainty in multi-agent systems, probabilistic reasoning in games, and industrial applications like automated planning and machine learning for complex processes. French holds a PhD in Computer Science (2007) and BSc in Computer and Mathematical Sciences (1999), both from UWA. His expertise spans algorithms, automated reasoning, formal methods in software, and temporal logic verification systems. He has led or contributed to 6 major research projects including the ARC Research Hub for Transforming Energy Infrastructure and the ARC Training Centre for Transforming Maintenance through Data Science. His research outputs include 118 publications covering topics like aleatoric logic for probabilistic reasoning, semantic knowledge extraction from industrial maintenance systems, and deep learning applications in wastewater treatment. He has developed novel methods for knowledge graph construction, state estimation in complex systems, and user interface design informed by work characteristics models. Key grants: 6 active/finished projects totaling $M+ funding Leadership roles: Programming contest director, conference chair Interdisciplinary focus: Combines formal logic with industrial automation challenges French's work contributes to UN Sustainable Development Goals through education and innovation in sustainable industrial processes and environmental systems modeling. His team has developed practical solutions for maintenance procedure digitization, wastewater plant optimization, and robust agent-based systems for uncertain environments.

Dominik Drexlerمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Machine Learning
• Classical Planning
• +۳ مورد دیگر

Dominik Drexler is a Research Fellow at Linköping University's Department of Computer and Information Science (IDA), part of the Artificial Intelligence and Integrated Computer Systems (AIICS) division. He completed his PhD at IDA in 2025, focusing on integrating learning and artificial intelligence planning to develop intelligent agents that exploit subgoal structures. His work bridges System 1 (learning-based) and System 2 (reasoning-based) approaches in AI, emphasizing hierarchical planning and policy reuse. He is a recipient of the 2024 Lawson Scholarship for excellence in international collaboration and the 2023 Optimal Planning Track Award at the International Planning Competition. **Education**: Bachelor's and Master's in Computer Science (specializing in AI) from the University of Freiburg, Germany. PhD in Computer Science at Linköping University (2025). **Research Focus**: Combining learning and classical planning to create agents that learn hierarchical policies and subgoal structures. Development of expressive policy languages and sketch-based methods for decomposing planning problems. Applications in autonomous systems and generalizable planning algorithms. **Contributions**: Open-source tools like DLPlan , Vanir , and Odin for state feature extraction and optimal planning. Active in international collaborations through the Wallenberg Autonomous Systems Program (WASP). **Teaching & Supervision**: Transitioning to expanded teaching and student supervision roles while continuing research. **Affiliations**: Member of the AIICS division and the Faculty of Science and Engineering at LiU.

• Renewable Energy
• Thermal Storage
• Food Engineering
• +۹ مورد دیگر

Professor Azharul Karim is a leading academic and researcher in the Faculty of Engineering at Queensland University of Technology (QUT), specifically within the School of Mechanical, Medical & Process Engineering . He holds the rank of **Professor** and is the Director of the Advanced Drying and Sustainable Energy Research (ADSER) Group . His research focuses on advanced drying processes, renewable energy, food engineering, and lean manufacturing, with over 230 peer-reviewed publications and an h-index of 46. He has secured A$4 million in research grants and pioneered innovations like ultrasonic washing machines and solar drying systems. Education: PhD in Engineering from the University of Melbourne. Leadership Roles: Academic Lead for International and Engagement at QUT, Course Leader for the Master of Engineering Management, and Editor of journals like Drying Technology and Nature Scientific Reports . Awards: Advance Queensland Fellow, Smart Queensland Fellow, Global Engineering Education Award (2018), and multiple international recognitions for interdisciplinary contributions. Teaching: Leads real-world project-based learning (PBL) programs and teaches units in Heating, Ventilation, Advanced Manufacturing, and Quality Management. Patents: Includes ultrasonic washing/dishwashers, solar drying systems, and microwave-convective drying technologies. Research Impact: Focuses on sustainable energy, food quality preservation, and lean healthcare systems to optimize resource use in emergency departments. Grants and Projects: 21 grants totaling A$4M, including A$555K for Microwave-Assisted Solar Dryer research. His work bridges fundamental science and industrial applications, addressing global challenges in food processing, energy efficiency, and healthcare logistics.

Simon Scheiderمشاهده پروفایل

دانشیار

• Geographic Information Science
• Data Modelling
• Geocomputation
• +۵ مورد دیگر

Simon Scheider is an Associate Professor of GIS in the Department of Human Geography and Spatial Planning at Utrecht University, Netherlands. His research focuses on conceptual modeling of geographic data, semantic web technologies, and geospatial analysis. He holds a Ph.D. in Geoinformatics from the University of Münster (2012) and has held postdoctoral roles at UC Santa Barbara, ETH Zurich, and other institutions before joining Utrecht in 2016. He received tenure in 2018 and became Associate Professor in 2024. Key achievements include an ERC Starting Grant (2018) for geographic question-answering research and an ERC Consolidator Grant (2024) for automatic geoQA systems. He leads the NWO-funded Exposome-NL project (since 2020), simulating urban policy impacts on citizen health. Scheider co-organized AGILE 2023 and COSIT 2024, and serves on editorial boards for journals like Applied Ontology and ISPRS International Journal of Geo-Information. Research interests span spatial semantics, geocomputation, and human-centered AI. Recent work addresses validity in spatio-temporal models, extensive/intensive quantities in geographic data, and integrating LLMs with GIS. His teaching includes Advanced GIS, Spatial Data Analysis (ADS), and National GI Minor courses.

Marco Mesitiمشاهده پروفایل

دانشیار

• Data Management
• Big Data Visualization
• Data Integration
• +۶ مورد دیگر

Marco Mesiti is an Associate Professor at the Department of Computer Science, University of Milan, Italy. He holds a PhD and Laurea in Computer Science from the University of Genova. His research focuses on data management, big data visualization, and bioinformatics, particularly in biomolecular networks and IoT data. He is a member of AnacletoLAB and has contributed to developing tools like UNIPred-Web for biomolecular network analysis. Education: PhD in Computer Science, University of Genova, 2003 MSc in Computer Science, University of Genova, 1998 Laurea (BSc equivalent) in Computer Science, University of Genova (cum laude) Research Interests: His work spans XML data handling, semistructured data, and applications in bioinformatics, IoT, and credit worthiness. He explores approaches to manage heterogeneous data, including visualization techniques and knowledge graph construction. Recent projects include RNA-centered knowledge graphs and GPU-based algorithms for large networks. Publications: Recent work includes advancements in machine learning for protein design, RNA interaction analysis, and multi-omics data integration. His research emphasizes scalable methods for biomolecular networks and visual analytics tools. Grants & Collaborations: Involved in projects like ELISE and MUSE. Collaborates internationally on bioinformatics and computational biology initiatives. Labs & Teams: Member of AnacletoLAB, focusing on machine learning and data science applications.

• Artificial Intelligence
• Machine Learning
• Social Network Analysis
• +۴ مورد دیگر

Andreas Kaltenbrunner is a Part-Time Lecturer at the Universitat Pompeu Fabra (UPF) in Barcelona, specializing in Data Driven Social Analytics and Information Retrieval. He serves as Director of Research on AI and Data Science at IN3 - UOC R&I and is an Affiliate Researcher at ISI Turin, Italy. His research focuses on computational social science, user behavior analysis, and applications of AI/ML in social media and network dynamics. Key interests include large language models (LLMs), personality assessment simulations, and digital epidemiology. His work bridges theoretical frameworks with practical applications, such as predicting urban mobility patterns and evaluating AI systems’ performance in political contexts. He collaborates with institutions like UNICEF and the ISI Foundation, contributing to projects on data-driven decision-making and social impact. His interdisciplinary approach integrates network science, computational methods, and socio-cultural analysis. Recent publications highlight innovations in LLM validation, cross-lingual Wikipedia reliability modeling, and climate-related forecasting. While no explicit awards are listed, his prolific output reflects sustained contributions to computational social science and AI ethics.

Jyh-Charn Liuمشاهده پروفایل

استاد

• Real-time distributed computing systems
• Behavior modeling and simulation
• Cyber physical systems security
• +۵ مورد دیگر

Jyh-Charn 'Steve' Liu is a Professor in the Department of Computer Science & Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on real-time distributed systems, cyber-physical security, and interdisciplinary applications such as mathematical expression analysis and GNSS spoofing mitigation. Education: Ph.D., Electrical & Computer Engineering, University of Michigan (1989) M.S., Electrical Engineering, National Cheng Kung University (1981) B.S., Electrical Engineering, National Cheng Kung University (1979) Research Interests: Real-time distributed computing systems Cyber-physical systems security Behavior modeling and simulation Mathematical expression analysis and tools for STEM education GNSS spoofing detection and mitigation Blockchain-based supply chain management Key Publications Trends: Recent work emphasizes AI-driven solutions for mathematical document processing (e.g., LaTeX conversion from images), cybersecurity in navigation systems, and interdisciplinary applications like STEM education tools. Early-career contributions include real-time scheduling algorithms and embedded systems design. Awards: Senior Member, IEEE Computer Society (2014) Nominated for ACM Eugene L. Lawler Award (2013) Conference leadership roles (RTAS 2006/2007) Lab & Collaborations: Leads the Real Time Distributed Systems Lab, exploring areas such as verifiable credentials, urban navigation systems, and medical image analysis. Collaborates on projects like DIME (mathematical expression tool) and MOP (mathematical PDF labeling).

• Artificial Intelligence
• Health Informatics
• Natural Language Processing
• +۳ مورد دیگر

Dr. David Martinez Iraola serves as a Senior Research Fellow in Applied AI in Health at RMIT University's School of Computing Technologies, City Campus, Australia. His work bridges artificial intelligence applications with healthcare domains, focusing on innovative approaches to health data analysis and knowledge extraction. His research interests center on Artificial Intelligence applications in healthcare, with specific focus on Information Extraction techniques and Natural Language Processing for medical and chemical knowledge domains. His current supervisor project on Cross-modal information extraction of chemical knowledge indicates expertise in developing AI systems that can process and extract meaningful information from chemical data sources. As a Research Fellow at RMIT, Dr. Martinez Iraola contributes to the university's growing expertise in applied artificial intelligence within healthcare contexts, working within the School of Computing Technologies' research ecosystem focused on practical AI implementations that address real-world challenges in health and medicine.

• Cyber-security
• Internet of Things (IoT)
• AI and Technologies
• +۴ مورد دیگر

Dr. Sana Ullah Jan is a Lecturer at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. She is an active member of the Centre for Cybersecurity, IoT and Cyberphysical Systems, focusing on interdisciplinary research at the intersection of cybersecurity and emerging technologies. Her work emphasizes leveraging AI tools like LLMs for threat detection and enhancing IoT security. Research interests include applying artificial intelligence to cybersecurity challenges, IoT security protocols, and ethical hacking methodologies. She has contributed to projects involving chaos-based encryption for IoT devices and developing frameworks for non-expert threat hunters. Recent work, published in Machine Learning and Knowledge Extraction , explores using LLMs such as ChatGPT and Gemini to detect 'living off the land' cyber threats. This aligns with broader themes of AI-driven security solutions and smart city infrastructure protection. As a supervisor, she has supported postgraduate research, including Shahbaz Khan's doctoral work on IoT encryption schemes. She maintains active collaborations within the university's cybersecurity hub and contributes to both academic and applied cybersecurity initiatives.

Abdul Shahidمشاهده پروفایل

مدرس

• Data Science
• Large Language Models (LLMs)
• Applied Artificial Intelligence
• +۱۲ مورد دیگر

Dr. Abdul Shahid is a Lecturer in Business Information Systems at the School of Business, South East Technological University (SETU), Waterford campus. He holds a PhD in Computer Science from Capital University of Science and Technology, Islamabad, and has previously served as a Lecturer at the National College of Ireland and a Postdoctoral Researcher at the University of Galway, contributing to EU Horizon 2020 projects such as Polifonia and InsiDE PRI. Research Interests: Dr. Shahid's research lies at the intersection of data science, large language models (LLMs), scientometrics, and applied AI. His work emphasizes the development of intelligent systems for decision-making in logistics, cybersecurity, and semantic computing. He is particularly focused on citation analysis, contextual embeddings, and the deployment of Retrieval-Augmented Generation (RAG) frameworks in industrial applications. Recent Research Trends: His recent publications reflect a strong emphasis on natural language processing for scientific literature analysis, including in-text citation identification, intent classification, and semantic modeling. These works integrate machine learning with knowledge engineering to extract and structure scientific knowledge from academic texts. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Dr. Shahid is currently accepting PhD students. His research has been supported through participation in high-impact EU-funded projects such as Horizon 2020’s Polifonia and InsiDE PRI, which involved data-driven analysis of scientific collaboration and knowledge graph applications in cultural heritage. Labs and Research Teams: He has been affiliated with research teams at the University of Galway working on EU Horizon 2020 initiatives. At SETU, he contributes to research in applied AI and business information systems, particularly in developing intelligent solutions for logistics and document understanding.