جستجوی استاد راهنمای دانشگاهی

• Human-Computer Interaction
• Information Security
• Software Engineering
• +۵ مورد دیگر

Abrar Ullah is an Associate Professor of Computer Science at Heriot-Watt University (Dubai) since 2019. He holds a Ph.D. in Security and Usability from the University of Hertfordshire, UK. With over 23 years of experience in academia and industry, his roles include Programme Director for MSc Computer Science (online) and Director of Postgraduate Studies (Dubai). He has held teaching positions at the University of Peshawar, Provincial Health Services Academy Peshawar (2002–2008), and Cardiff University (2011–2017), where he also served as Team Lead & Senior Systems Analyst in professional services. His industry experience includes roles at ABMU NHS (2008–2011) and NHS Health Education and Improvement Wales (HEIW, 2017–2019). Research Interests : Human-Computer Interaction Information Security Software Engineering Usability Machine Learning Applications Healthcare Technology Editorial Contributions : Guest Editor for Springer's Journal of Discovery Applied Sciences (special issue on "Advanced Internet of Things for Smart Healthcare") Guest Editor for MDPI's Journal of Education (special issue on "Current Challenges in Digital Higher Education") Guest Editor for MDPI's Journal of Electronics (special issue on "Usable Security and Machine Learning") Guest Editor for Hindawi's Journal of Sensors (special issue on "Advances in Sensors for Intelligent Transportation Systems") General Chair of ICITA 2021–2024 and Co-Chair of AAAI Summer Symposium 2025 Grant Activity : 2021: Collaborative Research Grant (£40,000 AED) for "Optimizing Autonomous Solar Panel Cleaning via Drones in Future Smart Cities" Research Trends : Recent publications focus on: AI-driven solutions for healthcare diagnostics (e.g., PCOS and melanoma detection) Cybersecurity for IoT and autonomous systems Human-centered design for ADHD learning and gamification Blockchain-enhanced communication protocols Collaborations : Active partnerships with institutions like University of Wollongong, Cardiff University, and NHS organizations.

Simone Paolo Ponzettoمشاهده پروفایل

استاد

• Natural Language Processing
• Information Retrieval
• Knowledge Graphs
• +۷ مورد دیگر

Prof. Simone Paolo Ponzetto is the Chair of Information Systems III (Enterprise Data Analysis) at the University of Mannheim, leading the Natural Language Processing and Information Retrieval (NLP and IR) group within the Data and Web Science Group since 2013. His research bridges computational methods with applications in Social Sciences and Humanities. Full Professor (W3) since February 2016 Based at School of Business Informatics and Mathematics Contact: simone@informatik.uni-mannheim.de | ponzetto@uni-mannheim.de His work spans knowledge acquisition , multimodal NLP , and LLM applications in: GUI prototyping, scientific text analysis, political discourse modeling, and social science data integration. Recent projects explore zero-shot synthesis , cross-lingual knowledge editing , and ethical analysis of language models . Key research trends in his publications include LLM-driven interface design , multimodal summarization , and robust cross-lingual methods for NLP tasks. His group's work combines symbolic approaches with deep learning , leveraging knowledge graphs and distributional semantics across disciplines. Research grants include DFG-funded projects JOIN-T 2 , SFB 884 , and UNCOVER , alongside MWFK Baden-Württemberg programs for junior professors and part-time master's education in Data Science. The Data and Web Science Group under his leadership focuses on empirical research in computational social science and digital humanities, with applications in political text analysis, survey data integration, and surgical language modeling through projects like SurgicBERTa and FrameASt .

Alok Mishraمشاهده پروفایل

استاد

• Artificial Intelligence
• Software Engineering
• Cybersecurity
• +۸ مورد دیگر

Alok Mishra is a Professor at Molde University College, affiliated with the Faculty of Logistics. His research focuses on Artificial Intelligence, Software Engineering, Cybersecurity, and Digitalization, with a strong emphasis on blockchain technology, machine learning, and sustainability. He leads the research group 'Digitalization for Sustainability Informatics and Digitalization.' Key projects include 'Building Trust in Global Seafood Supply Chains Through DNA Analysis, Digital Product Passports (DPPs), and Blockchain Technology.' His work spans interdisciplinary areas such as AI ethics, data privacy, and IoT-based systems. Recent publications highlight advancements in code smell detection, cybersecurity policy development, and green AI initiatives. His research trends reflect a blend of theoretical and applied studies, addressing challenges in software quality, blockchain integration, and sustainable tech solutions. Collaborations with global researchers underscore his commitment to impactful, cross-disciplinary innovation.

• configuration systems
• recommender systems
• sustainability
• +۴ مورد دیگر

Alexander Felfernig is a full professor at Graz University of Technology (Austria) since March 2009, affiliated with the Institute of Software Engineering and Artificial Intelligence where he directs the Applied Software Engineering & AI research group (ASE). Education: PhD in Computer Science from the University of Klagenfurt Research Interests: His work spans configuration systems, recommender systems, sustainability, model-based diagnosis, software requirements engineering, human decision making, and knowledge acquisition methods, focusing on AI-driven solutions for complex software engineering challenges. Advising and Grants: Professor Felfernig supervises final theses in applied software development and leads research projects in his core domains, with consultation hours arranged individually. Research Group: He heads the Applied Software Engineering & AI research group (ASE), driving innovation in configuration technologies, recommender systems, and sustainable AI applications through interdisciplinary collaboration.

GE Mengمشاهده پروفایل

پژوهشگر ارشد

• Speech Signal Processing
• Social Network Analysis
• Healthcare with AI
• +۳ مورد دیگر

GE Meng is a Research Fellow at the National University of Singapore (NUS), affiliated with the Saw Swee Hock School of Public Health. Their research focuses on Speech Signal Processing, Social Network Analysis, and Healthcare with AI. They hold a Ph.D. in Applied Computer Technology (Tianjin University, 2022), M.E. in Software Engineering (Tianjin University, 2017), and B.E./B.S. degrees in Software Engineering and Public Management (Tianjin Polytechnic University, 2015). Key research interests include developing AI-driven solutions for speech enhancement, speaker extraction, and audio-visual processing, with applications in healthcare and social network analysis. Dr. Meng has received notable awards, including the Honda Kiyoshi’s Advanced Speech Science Award (2023) and a runner-up in the Intel N-DNS Challenge (2023). Prior to NUS, Meng was a Research Assistant at the Chinese University of Hong Kong, Shenzhen (2022–2023). Their work spans over 20 peer-reviewed publications, focusing on neural networks, graph-based learning, and real-world speech recognition challenges. Current projects emphasize scalable tools for speaker extraction and improving model robustness in noisy environments.

Timothy Neateمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Accessibility
• Health Informatics
• +۵ مورد دیگر

Dr. Timothy Neate is a Senior Lecturer in Computer Science at King's College London's Department of Informatics, co-head of the Human-Centred Computing group, and co-lead of the Health Hub. His research focuses on human-computer interaction, accessibility, and assistive technologies for diverse populations, particularly in healthcare and aphasia rehabilitation. He holds a PhD from Swansea University (2014-2017) and has held prior roles as a Postdoctoral Research Fellow at City, University of London and Swansea University. Education: PhD in Computer Science (2014–2017) – Swansea University Research Interests: Developing accessible technologies for individuals with aphasia and disabilities Assistive communication systems (AAC) Healthcare technologies for stroke survivors Accessible digital content creation and consumption Notable Projects: CA11y: Content Accessibility Project (EPSRC funded) EquIPS: Equitable Patient Involvement in Stroke Research Health Hub: Data-driven stroke survivor care Recent Articles: Focus on generative AI in art, audiovisual accessibility for aphasia, and patient portal technologies to enhance stroke recovery. Articles emphasize user-centered design and inclusive innovation. Awards: Over 13 paper awards including ACM CHI/ASSETS recognitions £900k+ in research funding as PI/Co-I Grants & Labs: EPSRC New Investigator Award (£355k) for CA11y NIHR Programme Development Grant (£321k) for EquIPS Co-leads King's Health Hub and Stroke Research Group Labs/Teams: Leads interdisciplinary teams in Human-Centred Computing and collaborates with the Stroke Research Group and Health Hub on clinical technology integration.

• IOS Standards Development, Diffusion and Consequences
• IT Valuation
• Systems Analysis and Design
• +۳ مورد دیگر

Matthew Nelson is an Adjunct Assistant Professor of Business Administration at the University of Illinois at Urbana-Champaign since 2009. His research focuses on IOS Standards Development, IT Valuation, and Business Rules Management. He holds a Ph.D. in Management Information Systems from UIUC (2004). **Research Interests**: His work spans IOS Standards Diffusion IT Governance Open Source Software Dynamics Business Rules Engines Vertical Industry Standards Recent studies include hybrid conference models, DEI initiatives in academia, and healthcare BRM frameworks. **Grants & Awards**: Recipient of the 2024 AIS Sandra Slaughter Service Award and multiple teaching excellence awards. Lead PI on State Farm grants (2005–2006) exploring business rules externalization and governance. **Courses Taught**: Data Science and Analytics (BADM 356) : Focuses on managerial implications of analytics, R programming, and visualization. IT Governance (BAMD 458) : Covers fraud prevention, regulatory compliance, and enterprise information management. Enterprise IT Governance (BAMD 559) : Addresses strategic IT mapping, risk assessment, and trustworthy information management.

• Big Data Analytics
• Data Quality Management
• Business Process Management
• +۳ مورد دیگر

Wilfried Lemahieu is a full professor and Dean of the Faculty of Economics and Business (FEB) at KU Leuven. He leads FEB's academic and administrative operations, overseeing research centers, educational programs, and campus coordination across Leuven, Kortrijk, Brussels, and Antwerp. His academic roles include heading the Department of Decision Sciences and Information Management, where he focuses on big data analytics, data quality, and distributed systems. Research Interests: Big Data Storage & Integration Data Quality Management Business Process Analytics Machine Learning Applications in Labor Markets Software Architectures for Distributed Systems Recent Work Trends: His publications emphasize explainable AI for labor market predictions, churn prediction in telecom, and frameworks for improving data quality in manual processes. Collaborations with industry and academic partners highlight practical application of theoretical models. Leadership Roles: Dean of FEB since 2017 Vice Dean for Education (2013-2017) Member of University Council and Academic Council Chair of FEB Executive Committees Teaching: Leads courses on database management, software architectures, and research methodologies in business information systems.

• Artificial Intelligence for Software Engineering
• Software Engineering Analytics
• Process Analytics
• +۳ مورد دیگر

Hoa Khanh Dam is a Professor in the School of Computing and Information Technology at the University of Wollongong, Australia. He serves as Director of the Decision System Lab and holds leadership roles including Deputy Head of School (Research) and Head of Postgraduate Studies. His research focuses on integrating Artificial Intelligence with Software Engineering to enhance software quality, cybersecurity, and productivity. Key areas include AI-driven solutions for project management, autonomous systems resilience, and privacy engineering. He actively supervises PhD and MPhil students exploring AI applications in software development and quantum computing. Recent funding includes a project on 'Monitoring and Safeguarding Deep Reinforcement Learning Systems.' Research interests span AI for software engineering, process analytics, service-oriented architectures, and cybersecurity resilience. His work addresses challenges such as adversarial machine learning, explainable vulnerability prediction, and GDPR-compliant privacy policies. The Decision System Lab under his direction develops AI tools for decision-making in complex environments, including adversarial search strategies and normative multi-agent systems. Teaching and supervision include advanced topics like AI-driven chatbots for university systems, quantum code generation, and CRM application development. His publications emphasize practical AI applications in software lifecycle management, including defect prediction, agile iteration planning, and robotic process automation optimization.

• Cybersecurity
• Software-Defined Networking
• IoT Security
• +۳ مورد دیگر

Chau Nguyen is a Lecturer at University of Wollongong's School of Computing and Information Technology. Her research focuses on cybersecurity in distributed systems, particularly software-defined networking (SDN), IoT security, and blockchain applications. Key research areas include: Blockchain-based quantum safety for medical data Software-defined IoT security frameworks Microservice architecture optimization Recent publications demonstrate innovation in automated service alignment and AI-driven microservice recommendations. Secured ARC funding for quantum-safe medical passport development. Teaches web security and supervises graduate researchers in container security and phishing mitigation.

Zachary A. Pardosمشاهده پروفایل

دانشیار

• Adaptive Learning
• Artificial Intelligence (AI) in Education
• Knowledge Representation
• +۳ مورد دیگر

Zachary A. Pardos is an Associate Professor of Education at the University of California, Berkeley , where he directs the Computational Approaches to Human Learning (CAHL) Research Lab . He is also affiliated with the Cognitive Science program and serves as the Head Graduate Advisor there. PhD in Computer Science from Worcester Polytechnic Institute Bachelor's in Computer Science from Worcester Polytechnic Institute His research focuses on adaptive learning systems , AI in education , and knowledge representation using behavioral and semantic data to enhance postsecondary student mobility. Key projects include the OATutor open-source adaptive tutoring system and the ATAIN infrastructure network. Recent publications analyze large language models in education, Bayesian knowledge tracing optimizations, and psychometric validation of AI-generated content. Awards include Best Short Paper at EDM 2024 and Best Paper at L@S 2019 . Active grants from Foundation for California Community Colleges , College Futures Foundation , and Accendium Past funding from NSF , Google , and Bill & Melinda Gates Foundation He teaches DATA 144 (Data Mining and Analytics), EDUC C260F (Machine Learning in Education), and EDUC W161 (Digital Learning Environments). The CAHL research group explores equity, diversity, and AI's role in K-16 education.

Dong Jin Songمشاهده پروفایل

استاد

• Formal methods
• Safety and security systems
• Probabilistic reasoning
• +۹ مورد دیگر

Dong Jin Song is a full Professor at the National University of Singapore's School of Computing, Department of Computer Science. He joined NUS in 1998 and was promoted to Professor in 2016 after serving as Associate Professor (2005) and Assistant Professor. He has held various leadership roles including Deputy Head of CS Department (2023-2024), NUS Senate Member (2020-current), and Assistant Dean (Graduate Office, SoC). PhD, University of Queensland, Australia (1993-1995) BInfTech with First Class Honours, University of Queensland, Australia (1989-1992) - Major in Software Engineering Professor Dong's research spans formal methods, safety and security systems, probabilistic reasoning, sports analytics, and trusted machine learning. He is best known for co-founding the PAT verification system which has attracted thousands of registered users from over 150 countries and won the 20-year ICFEM Most Influential System Award in 2018. He also co-founded 'Silas: Trusted Machine Learning' and the Dependable Intelligence company. His work bridges formal verification with practical applications in security, AI, and even sports analytics where he developed Markov Decision Process models for tennis strategy analysis. His recent publications show a strong trend toward integrating formal methods with modern AI systems, particularly focusing on trustworthy AI, LLM verification, and security applications. The research spans multiple high-impact venues including ICML, NeurIPS, IEEE Transactions, and top security conferences like USENIX Security, reflecting his interdisciplinary approach that combines formal verification with machine learning, security, and practical applications. Professor Dong has received numerous honors including the ACM SIGSOFT Distinguished Paper Award for ICSE 2020, the 20-Year ICFEM Most Influential System Award (2018), and being named a Fellow of the Institute of Engineers Australia (2018). His awards reflect both theoretical contributions to formal methods and practical impact on software engineering. ACM SIGSOFT Distinguished Paper Award for ICSE 2020 NUS Research Recognition Award (2020) Fellow of Institute of Engineers Australia (2018) 20-Year ICFEM Most Influential System Award (2018) Best Paper Award at ICECCS (2015 and 2012) Professor Dong has successfully supervised 33 PhD students, many of whom have become tenured faculty members at leading universities worldwide including The University of Auckland, Aston University, Singapore Management University, and Monash University. His students have gone on to successful careers in both academia and industry at organizations like Google, Apple, HP Research Lab, and IBM. He has served on the editorial boards of prestigious journals including ACM Transactions on Software Engineering and Methodology and has been active in numerous conference organizing committees. Through his research group and commercial ventures (Dependable Intelligence), Professor Dong has built a strong team focused on formal verification, trusted AI systems, and practical applications of model checking. His work has evolved from foundational formal methods research to cutting-edge applications in AI safety and security, maintaining a consistent thread of rigorous verification throughout his career.

• Quantum Computing
• Machine Learning
• Fairness in Machine Learning
• +۳ مورد دیگر

Simon Caton is an Assistant Professor of Computer Science at University College Dublin (UCD) and a founding member of the UCD Centre for Quantum Engineering, Science, and Technology (C-QuEST). He holds a BSc and PhD from Cardiff University and a Professional Diploma in University Teaching and Learning from UCD. His academic roles include Programme Director for the MSc Computer Science (Conversion) and Deputy Head of Teaching and Learning at UCD's School of Computer Science. Research Interests: Quantum computing applications (quantum machine learning, reinforcement learning control), fairness in machine learning, social media analysis, and distributed systems. Current projects focus on quantum control landscapes, customer needs prediction, and inclusive policy analysis for migrants in Ireland. Grants: Lead investigator on the Science Foundation Ireland-funded ML-Labs project (2019–2027), focusing on accelerating Ireland's machine learning expertise. Teaching: Coordinates modules like Quantum Machine Learning, Java Programming, and Team Software Project. Active in curriculum development for conversion courses and work placement programs. Professional Service: External Examiner for TU Dublin and TU Shannon. Previously held academic positions at National College of Ireland and Karlsruhe Institute of Technology (KIT).

• Care of the Elderly
• Clinical Pharmacy
• Diabetes
• +۱۷ مورد دیگر

Dr. Shane Cullinan is a Senior Lecturer and Programme Director for the MPharm program at the Royal College of Surgeons in Ireland (RCSI), School of Pharmacy and Biomolecular Sciences. He holds a PhD in Pharmacy from University College Cork (UCC) and has extensive experience in both clinical pharmacy practice and academic roles. His research focuses on optimizing prescribing practices in older adults, medication safety, eHealth solutions, and health professions education. Education: Bachelor of Pharmacy (BPharm), University College Cork, 2004–2008 PhD in Pharmacy (Investigating Inappropriate Prescribing in Older Patients), University College Cork, 2012–2015 Postgraduate Diploma in Health Professions Education, RCSI, 2016–2017 Research Interests: His work centers on improving medication safety through eHealth technologies, geriatric pharmacy practice, and optimizing prescribing in populations with multimorbidity and polypharmacy. He has contributed to European clinical trials (FP7 and Horizon2020) evaluating software tools for prescribing optimization. Grants & Funding: HRB Postdoctoral Internship Programme (2021–2024) RCSI-funded projects on eHealth validation and professional doctorate programs Teaching & Supervision: He leads modules in endocrine systems, public health, and contributes to clinical pharmacy education across undergraduate programs. Supervision includes thesis topics on eHealth technologies, prescribing competence, and EHR impact analysis. Labs/Teams: Affiliated with RCSI’s research clusters in Endocrinology, Health Professions Education, and Population Health.

Ajay Guptaمشاهده پروفایل

استاد

• High Performance Computing
• Proteogenomics
• Data Analytics
• +۱۰ مورد دیگر

Ajay Gupta is a Professor in the Department of Computer Science at Western Michigan University's College of Engineering & Applied Sciences. He previously served as Department Chairman from 1998-2002 and directs the Wireless Sensor Network Laboratory (WiSe Lab). He holds a Ph.D. in Computer Science from Purdue University (1989), M.S. in Mathematics and Statistics from University of Cincinnati (1984), and B.E. in Electrical and Electronics Engineering from Birla Institute of Technology and Sciences, Pilani. His research spans high-performance computing, proteogenomics, data analytics, machine learning, sensor networks, cloud/mobile computing, web technologies, computer networks, evolutionary computation, and parallel/distributed algorithms. His published work includes significant contributions to computational methods and networking. Awards include: Best Paper nomination at HPCS 2016 Best Paper award at International Conference on High Performance Computing 1996 Honorable mention at CERIAS Symposium 2006 He holds joint copyright for parallel/distributed numerical integration software ParInt 1.1. As IEEE senior member, he participates in curriculum development and conference organization globally.