جست‌وجوی استاد و پژوهشگر

• Cyber-Physical Systems
• Machine Learning
• Autonomous Systems
• +۵ مورد دیگر

Radu Grosu is a Professor at Technische Universität Wien (TU Wien), leading the Forschungsbereich Cyber-Physical Systems . His research focuses on Cyber-Physical Systems (CPS), Machine Learning, and autonomous robotics, with notable contributions to neural network architectures like Liquid Time-Constant Networks (LTC) and their applications in robotics and medical imaging. He is affiliated with the Network Lab and has supervised numerous PhD and Master's students, including Sebastian Michael Bittner, Daniel Scheuchenstuhl, and Sophie Neubauer. His work spans topics such as reinforcement learning, autonomous driving, and IoT ecosystems. Recent projects include developing robust AI systems for healthcare and robotics, such as tumor delineation using PET imaging and neuromorphic IoT architectures for smart villages. Grosu has published extensively on CPS, with over 146 contributions across peer-reviewed journals and conferences. His research emphasizes bridging theory and practice, addressing challenges in safety, scalability, and real-time control in autonomous systems. Key research interests include robotic perception, neural network robustness, and CPS/IoT integration. He has pioneered methods like DeepSTL for translating temporal logic requirements into neural network training objectives and developed frameworks like NimbleAI for neuromorphic sensing-processing systems. His team also explores distributed control algorithms for multi-agent systems, such as flocking drones and formation control using relative distance measurements. Recent work examines the generalization properties of deep filters in CNNs and quantum-classical reinforcement learning models for game AI. Grosu has advised over 20 students on topics ranging from deep learning in wafer defect analysis to bio-inspired neural circuits for auditable autonomy. His lab collaborates on interdisciplinary projects, such as applying AI to battery health estimation and prostate cancer diagnostics. He actively contributes to academic communities, editing special issues on AI in healthcare and CPS resilience, and has organized summer schools on CPS and IoT systems.

Shruti Deshpandeمشاهده پروفایل

دانشیار

• Audiology
• Hearing Health Services
• Social Justice in Healthcare
• +۵ مورد دیگر

Dr. Shruti Deshpande serves as an Associate Professor and Vincentian Research Fellow in the Department of Communication Sciences and Disorders at St. John's College of Liberal Arts and Sciences, St. John's University. She also holds the leadership position of Director of the Doctor of Audiology Program and was named an ASHA Innovator in 2024. Dr. Deshpande is actively involved in the American Speech-Language-Hearing Association as a board member of the Multicultural Issues Board (2023-2025) and serves as a subject matter expert for the ASHA Practice Portal in Audiology. Her research focuses at the intersection of audiology and social justice, particularly on accessible and affordable hearing health services for diverse and vulnerable populations. Dr. Deshpande has pioneered community-based research approaches, developing innovative service-learning models that address hearing health disparities. Her work emphasizes cultural competence and aims to increase awareness of audiology as a profession among ethnically diverse adolescents through educational interventions. Analysis of Dr. Deshpande's publication record reveals consistent focus on health equity in audiology, with significant attention to representation in clinical research, social media's role in health information dissemination, and innovative approaches to hearing healthcare delivery. Her work spans multiple subfields including tinnitus research, central auditory processing disorders, electrophysiology, pediatric audiology, and cross-cultural assessment tools. ASHA Innovator (2024) Vincentian Research Fellow Faculty Excellence Award in Community-Based Outcomes and Poverty Research (2022) Multiple Faculty Recognition Awards for Excellence in Research & Scholarship (2017, 2019, 2020, 2021) Values and Inclusion Program Honoree (2020-21) Excellence in Teaching Award from National Society of Leadership and Success (2018) Dr. Deshpande has successfully mentored numerous undergraduate and graduate students, with many serving as co-authors on peer-reviewed publications and presenting at conferences. Her grant portfolio demonstrates significant external funding support, including awards from the Faculty Research Consortium, ASHA's Advancing Academic-Research Careers Award, HearX Group, and multiple internal university grants totaling over $25,000. Her current projects focus on hearing health access for diverse communities, community-based hearing assessment approaches, and innovative teaching methods that integrate technology with service learning. As Director of the Doctor of Audiology Program, Dr. Deshpande oversees a robust curriculum that includes specialized courses in Central Auditory Processing Disorder, Electrophysiology, Pediatric Audiology, and Hearing Science. Her community engagement extends beyond the classroom through partnerships with Liberty Partnership Program and other initiatives aimed at increasing awareness of hearing health and audiology careers among underserved populations.

Nan (Iris) Xueمشاهده پروفایل

استادیار

• Sustainability
• Consumer Behaviour
• Tourism Marketing
• +۵ مورد دیگر

Dr Nan (Iris) Xue is an Assistant Professor in Marketing at the Department of Marketing , Birmingham Business School , University of Birmingham . She holds a PhD in Business Administration (Marketing and Tourism) from The Chinese University of Hong Kong (CUHK), completed in 2024, and earned her MSc in Business Administration from Fudan University and dual BSc degrees in Business Administration and Economics from Soochow University. Her research lies at the intersection of sustainability, consumer behaviour, and tourism marketing . She investigates how consumers respond to environmental initiatives in tourism, the psychological effects of social crowding on destination advertising, and the impact of eco-certifications on hotel choice. Her methodological approach integrates lab and field experiments with secondary data analysis to generate robust empirical insights. Dr Xue’s recent publications in top journals such as Annals of Tourism Research and Tourism Management reflect a strong focus on pro-environmental consumer behaviour in tourism contexts , green marketing strategies , and digital influence on travel decisions . Her work consistently addresses practical challenges in sustainable tourism through rigorous experimental design. She has been recognized with several awards, including: CUHK Postgraduate Research Output Award ICHRIE 2023 Best Dissertation Proposal Award CUHK Ph.D. International Mobility Award (University of Queensland) Reaching Out Award Dr Xue has presented her research at major academic conferences such as the Associate for Consumer Research (ACR) , American Marketing Association (AMA) , and International Council on Hotel, Restaurant, and Institutional Education (ICHRIE) . She teaches postgraduate courses on Marketing and Sustainability and undergraduate modules on Contemporary Issues in Marketing .

Alexander Bellamyمشاهده پروفایل

استاد

• International Relations
• Peace and Conflict Studies
• Responsibility to Protect (R2P)
• +۵ مورد دیگر

Alexander Bellamy serves as Professor of Peace and Conflict Studies and Director of the Asia Pacific Centre for the Responsibility to Protect at The University of Queensland's School of Political Science & International Studies. With a distinguished academic career spanning multiple decades, Bellamy has established himself as a leading global expert on the Responsibility to Protect (R2P) doctrine, humanitarian intervention, and atrocity prevention mechanisms within international relations. Bellamy's research focuses on critical issues in international security, particularly the prevention of mass atrocities, the implementation of the Responsibility to Protect principle, and the effectiveness of UN peacekeeping operations. His scholarly work bridges theoretical frameworks with practical policy applications, examining how international norms translate into concrete action during humanitarian crises. He has made significant contributions to understanding the relationship between sovereignty and international protection responsibilities, the evolution of civilian protection mechanisms, and the challenges of implementing robust peacekeeping mandates. Analysis of Bellamy's recent publications (2021-2024) reveals a consistent focus on refining and operationalizing the Responsibility to Protect framework, with particular attention to early warning systems for mass atrocities, the use of force in civilian protection, and the evolving role of international institutions in conflict prevention. His work demonstrates an interdisciplinary approach that integrates insights from international law, political theory, and practical security studies to address complex challenges in global governance and humanitarian response. Bellamy's academic leadership extends through his directorship of the Asia Pacific Centre for the Responsibility to Protect, where he oversees research initiatives examining regional applications of atrocity prevention mechanisms. His scholarship has significantly influenced both academic discourse and policy development in international peace and security, with numerous publications in top-tier journals and prestigious university presses including Oxford University Press and Cambridge University Press.

Xiaofei Xieمشاهده پروفایل

استادیار

• Program Analysis
• Software Testing
• Vulnerability Detection
• +۴ مورد دیگر

Xiaofei Xie is an Assistant Professor in the School of Computing and Information Systems at Singapore Management University (SMU), where he has been employed since 2022. Prior to this position, he was a postdoctoral researcher at Nanyang Technological University in Singapore from 2018 to 2021. His research primarily focuses on program analysis, software testing, vulnerability detection, and quality assurance of AI systems. SMU is ranked No. 9 (No. 5 in Asia) in the Software Engineering category according to CSRankings. Dr. Xie's research interests span multiple critical areas in software engineering and AI systems. His work on program analysis includes detecting non-termination bugs and developing practical methods like EndWatch for real-world software. In software testing, he has made significant contributions to deep learning systems testing, autonomous driving systems testing, and smart contract security. His research on vulnerability detection encompasses various aspects of AI security, including backdoor attacks, adversarial examples, and security testing for web-based deep learning frameworks. His quality assurance work for AI systems includes developing metrics for robustness evaluation and creating testing methodologies for diverse AI applications. Dr. Xie's publication record shows a strong trend toward integrating large language models with traditional software engineering techniques. His recent work demonstrates increasing focus on testing autonomous systems, securing AI models, and applying advanced machine learning techniques to traditional software engineering problems. The research spans multiple domains including deep learning frameworks, smart contracts, autonomous driving systems, and federated learning environments. Among his notable achievements are multiple ACM SIGSOFT Distinguished Paper Awards (ASE 2019, ASE 2023, ISSTA 2022), the ACM Tianjin Doctoral Dissertation Award 2019, and the Best Paper Award at APSEC 2020. His work has been accepted to top-tier conferences including ICSE, FSE, ASE, ISSTA, and security venues like USENIX Security. Dr. Xie actively serves the academic community as a PC co-chair for ICECCS 2025 and as a program committee member for numerous prestigious conferences including ICSE, FSE, ASE, ISSTA, and AAAI. He has also organized workshops such as the Workshop on AI and Software Testing/Analysis (AISTA) and served as Guest Editor for special issues on AI security. His service demonstrates leadership in bridging software engineering with AI and security research communities.

• Power System Stability
• Multi-terminal VSC-HVDC Systems
• Power Electronics in Power Grids
• +۷ مورد دیگر

Dr. Francisco Javier Renedo Anglada is a Guest Researcher at the Instituto de Investigación Tecnológica (IIT), affiliated with the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University, Spain. He has been actively involved in research at IIT since 2012, with a formal position since 2021. His work is centered on electrical systems, particularly in the domain of power system stability and HVDC technologies. Industrial Engineer (Electrical), ICAI - Comillas Pontifical University (2010) Master in Mathematical Engineering, Carlos III University of Madrid (2013) PhD in Engineering Systems Modeling, ICAI - Comillas Pontifical University (2018) His research interests focus on the stability and control of modern power systems. Key areas include multi-terminal VSC-HVDC systems , power system stability (especially transient and small-signal), power electronics applications in grids, and challenges in systems with high renewable energy content and low inertia. He has developed simulation tools and control strategies to enhance grid resilience. The analysis of his recent publications reveals a strong trend toward solving stability issues in hybrid AC/DC grids, particularly using DC segmentation, fast voltage boosters, and coordinated control of VSC-HVDC systems. His work addresses critical challenges like intra-area oscillations, transient stability in 100% inverter-based systems, and frequency support in low-inertia grids, reflecting a consistent focus on enabling high renewable integration. His scientific achievements include: Honorary Distinction for the best Doctoral Thesis in Engineering, Comillas Pontifical University (2019) Dr. Renedo has supervised PhD students and contributed to numerous national and international research projects funded by the European Commission (Horizon 2020), Spanish Ministry of Science, IRENA, IADB, and industry partners like Iberdrola and Endesa. He serves as a reviewer for IEEE Transactions on Power Systems and is an active member of IEEE and CIGRE Working Group C4B4.52, contributing to guidelines on sub-synchronous oscillations in power electronics-dominated systems. He has been involved in several research laboratories and teams, primarily within the IIT’s Electrical Systems area, focusing on modeling, control, and simulation of hybrid power systems. His work often involves collaboration with international universities and industry stakeholders.

CHANG Ee Chienمشاهده پروفایل

دانشیار

• Information Security
• Cloud Security
• Adversarial Machine Learning
• +۶ مورد دیگر

CHANG Ee-Chien is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He serves as the Lead Principal Investigator of the National Cybersecurity R&D Laboratory (NCL) and previously served as Deputy Director of the Center for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) from 2019 to 2022. He also chaired the Joint Academic Committee for the Bachelor of Computing in Information Security program from 2016 until April 2023. Dr. Chang received his Ph.D. in Computer Science from New York University in 1998, following his M.Sc. and B.Sc. in Mathematics from the National University of Singapore in 1993 and 1991 respectively. He completed postdoctoral work with DIMACS at Rutgers University and NEC Labs America. His research focuses on information security, multimedia security, and their intersection. His work spans from foundational research in cryptographic techniques for noisy data and image watermarking to contemporary challenges in data privacy, cloud security, and adversarial machine learning. Dr. Chang has published extensively in top-tier security and computer science venues including CCS, EUROCRYPT, USENIX Security, and ACM Multimedia. Analysis of his recent publications reveals a strong emphasis on practical security solutions using hardware features like Trusted Execution Environments, innovative approaches to watermarking using generative models, and addressing emerging threats in machine learning systems. His work bridges theoretical cryptography with real-world security challenges, particularly in cloud infrastructure and privacy-preserving technologies. Active leadership in National Cybersecurity R&D Laboratory Extensive service on program committees for major security conferences Consultancy roles with Huawei, i-Sprint, and Singapore Accreditation Council Media commentary on cybersecurity issues for major Singaporean outlets Dr. Chang has mentored numerous research fellows and students who have gone on to academic and industry positions worldwide. His educational contributions include developing cybersecurity curriculum and innovative teaching methods such as penetration testing using real-world university applications. He has taught core security courses including CS2107 Introduction to Information Security continuously since 2014.

Jerry Liمشاهده پروفایل

دانشیار

• learning theory
• quantum information theory
• large foundation models
• +۴ مورد دیگر

Jerry Li is an associate professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering. Previously, he was a principal research scientist at Microsoft Research Redmond and was the VMware Research Fellow at the Simons Institute in Fall 2018. Li completed his Ph.D. at MIT under the supervision of Ankur Moitra and his master's degree at MIT under Nir Shavit. As an undergraduate, he also attended the University of Washington, where he worked on complexity of branching programs and hardness of learning problems in database theory and AI. His primary research interests focus on learning theory broadly defined, with specific expertise in quantum information theory, large foundation models, and high-dimensional statistics. He has a particular interest in applying analysis and analytic techniques to theoretical computer science problems. His recent work spans quantum computing, robust machine learning, and theoretical foundations of deep learning, showing a clear trend toward bridging quantum information theory with statistical learning theory. Li has made significant contributions to the fields of robust statistics, quantum computing, and theoretical machine learning, with numerous publications in top-tier conferences and journals including FOCS, STOC, NeurIPS, ICML, and Science. His work often bridges theoretical guarantees with practical applications in machine learning systems, particularly in the areas of robustness and quantum advantage. George M. Sprowls Award for outstanding Ph.D. theses in EECS at MIT Best Artifact Award at PPoPP 2015 for "The SprayList: A Scalable Relaxed Priority Queue" Communications of the ACM Research Highlights for "Robust Estimators in High Dimensions without the Computational Intractability" Invited to special issues of SIAM Journal on Computing for FOCS 2023 and STOC 2022 Spotlight Presentations at NeurIPS 2019 Notable top 5% paper at ICLR 2023 Li advises several Ph.D. students including Ziyun Chen (co-advised with Shayan Oveis Gharan) and numerous research interns. He has served on program committees for major conferences including STOC, SODA, and ITCS, and is co-organizing the FOCS 2024 Workshop on Recent Advances in Quantum Learning. His teaching includes courses such as CSE 422: Toolkit for Modern Algorithms and CSE 599-M: Robustness in Machine Learning, for which he has created publicly available video lectures.

Toby Murrayمشاهده پروفایل

استاد

• Cybersecurity
• Formal Methods
• Secure Systems Engineering
• +۵ مورد دیگر

Toby Murray is a Professor in the School of Computing and Information Systems at the University of Melbourne, where he serves as Director of the Defence Science Institute and Co-Lead of the Computer Science Research Group. His work bridges formal methods, cybersecurity, and practical system security, with significant contributions to verified security and vulnerability detection. Murray's research focuses on building highly secure computing systems cost-effectively, with expertise in formal verification, information flow security, and vulnerability detection. His current research projects include Verisimilar (Verified, Secure Machine Learning), EDEFuzz (Detecting excessive data exposure in web applications), COVERN (Proving information flow security of concurrent programs), and Time Protection (Proving timing channel freedom for seL4). His work combines theoretical rigor with practical implementation, resulting in multiple open-source tools including SecC, Legion, and Underflow. Murray's recent publications demonstrate a consistent focus on verified security properties across diverse domains, from neural networks to concurrent systems. His work often bridges the gap between formal methods and practical security concerns, with increasing attention to machine learning security and policy implications of technical security measures. His publications span top venues in security, formal methods, and software engineering. Distinguished Paper Award at ICSE 2024 for EDEFuzz work on detecting excessive data exposure in web applications Extensive media commentary on cybersecurity issues including CrowdStrike outage analysis and social media regulation Regular contributions to The Conversation and Pursuit on cybersecurity policy matters Murray has advised numerous PhD students to completion, including Lianglu Pan (EDEFuzz), Zhiyuan Zhang, Mo Zhang, and Renlord Yang. He currently supervises multiple PhD students working on security verification, machine learning security, and web application security. His service includes being Program Chair for CSF'25, Associate Editor for IEEE Security & Privacy and ACM TOPS, and membership in IFIP's WG 1.7 and WG 2.3. His research group has developed multiple significant software tools including SecC (Verified Security for Concurrent C Programs), Legion (Principled Automatic Test Case Generation), and Underflow (Compositional Vulnerability Detection for C Programs), all available under open source licenses. Murray's work often involves discovering and reporting bugs in security analysis tools during his research, demonstrating the practical impact of his verification approaches.

Maurice Harmonمشاهده پروفایل

دانشیار

• Religious education
• School ethos
• Education policy
• +۴ مورد دیگر

Dr. Maurice Harmon serves as Head of the Department of Learning, Society & Religious Education and holds the position of Associate Professor in Education at Mary Immaculate College (MIC) in Ireland. His academic profile reflects a strong commitment to advancing knowledge in religious education, school ethos, education policy, pupil voice, initial teacher education, law and education, and children's rights. He actively supervises PhD students and maintains a robust research agenda with significant contributions to Irish educational scholarship. Doctor of Education (Ed.D) in Religious Education awarded November 10, 2018 Thesis: 'I am a Catholic Buddhist': The Voice of Children on Religion and Religious Education in an Irish Catholic Primary School Classroom Supervised by Sandra Cullen Dr. Harmon's research program centers on the complex interplay between religious identity, educational practice, and student wellbeing within the Irish educational context. His work on religious education in Catholic primary schools examines children's authentic voices and experiences, challenging traditional assumptions about religious identity formation. His scholarship on pupil voice in education emphasizes children's rights to participate meaningfully in educational decision-making processes. The intersection of law and education forms another critical strand of his research, particularly regarding children's rights within school settings. His investigations into initial teacher education address the preparation of future educators for Ireland's evolving denominational school landscape. Analysis of Dr. Harmon's publication record reveals a sophisticated research trajectory focused on wellbeing, religious identity, and educational policy. His recent work demonstrates methodological diversity, employing qualitative, mixed methods, and systematic review approaches to investigate complex educational phenomena. Key thematic areas include the relationship between religiosity and mental wellbeing among Irish students, the implementation of religious education in Catholic schools, and children's participation rights in educational research and policy development. His collaborative work spans multiple Irish institutions, reflecting the significance of his contributions to national educational discourse. Dr. Harmon's research has attracted considerable attention from educational policymakers and media outlets. His work commissioned by the National Council for Curriculum and Assessment has directly influenced curriculum development in mathematics and wellbeing. Media coverage of his findings on religious beliefs and mental wellbeing has appeared in multiple Irish news outlets, demonstrating the public relevance of his scholarship. Dr. Harmon actively supervises PhD candidates including Jayne Guiney and Sinead Morgan, and has presented his research at numerous national and international conferences. His 13 documented activities include 12 conference presentations and postgraduate supervision, reflecting his commitment to academic dissemination and mentorship. His collaborative network extends across Irish educational institutions, with frequent partnerships on research projects addressing critical issues in contemporary education.

Wei Liuمشاهده پروفایل

دانشیار

• Adversarial Machine Learning
• Generative AI
• Cybersecurity
• +۶ مورد دیگر

Wei Liu is an Associate Professor in Machine Learning and Director of the Future Intelligence Research Lab at the University of Technology Sydney's School of Computer Science. He holds a PhD in Machine Learning from the University of Sydney and maintains active roles as a senior IEEE member and area chair for top AI conferences including KDD, AAAI, and ICDM. Education: PhD in Machine Learning, University of Sydney His research focuses on adversarial machine learning, generative AI, cybersecurity, and multimodal learning, with particular emphasis on AI security, robustness of algorithms, and model fairness. Liu's work addresses critical challenges in developing next-generation AI systems that can withstand cyber attacks while maintaining performance with multi-modal data and balanced outcomes despite data imbalances. Analysis of his recent publications reveals a strong trend toward securing large language models against novel attack vectors while advancing multimodal learning techniques. His work spans both theoretical contributions in adversarial frameworks and practical applications in cybersecurity, transportation, and industrial systems. Scientific Awards: 3 Best Paper Awards Most Influential Paper Award at PAKDD Nominee for NSW Premier's Prizes for Early Career Researcher (2017) Liu actively supervises numerous PhD students working on adversarial attacks, robust AI models, and agricultural applications. He has secured substantial funding including ARC Discovery Projects, government grants, and industry partnerships with organizations including Agriwebb, CSIRO Data61, and AVEVA. His Future Intelligence Research Lab specifically targets three emerging challenges: AI security against cyber attacks, robustness with multi-modal data, and model fairness with imbalanced datasets. The Future Intelligence Research Lab produces next-generation AI algorithms addressing AI security vulnerabilities, multi-modal robustness challenges, and fairness issues in real-world deployment scenarios, with multiple representative papers demonstrating practical applications in each domain.

• Cybersecurity
• Privacy
• Networking for Big Data
• +۴ مورد دیگر

Shui Yu is a Professor of the School of Computer Science in the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), where he also serves as the Deputy Chair of the UTS Research Committee. His academic career spans over 20 years in Australia and 7 years in China, with additional teaching experience in Hong Kong and Indonesia. He has developed more than 10 units in cybersecurity, computer science, data analytics, and computer games, serving as the Course Director for Computer Science undergraduate programs. Professor Yu's research interests center on cybersecurity, privacy, networking aspects of Big Data, and applied mathematics for computer science. He pioneered the field of 'networking for big data' in 2013 and edited the seminal book 'Networking for Big Data' published in 2015. His work has practical applications in industry, including Amazon Cloud's auto-scale strategy against distributed denial-of-service attacks. Current research focuses include privacy and security concerns associated with big data, security issues in smart grids, anonymous transactions on Blockchain, and anonymous communication for web browsing privacy. Analysis of his recent publications reveals a strong research trajectory spanning cybersecurity, privacy-preserving technologies, networking for big data, and applied mathematics. His work shows increasing focus on quantum-resistant cryptography, federated learning security, and adversarial robustness in AI systems. The interdisciplinary nature of his research bridges theoretical foundations with practical applications in IoT, blockchain, and cloud environments. Fellow of IEEE (2023) Distinguished Lecturer of IEEE Communications Society (2018-2021) Distinguished Visitor of IEEE Computer Society (2022-2024) Professor Yu has secured numerous research grants from the Australian Research Council, including current projects on privacy and fairness in high intelligence models (DP240100955), improved security and privacy for online platforms (LP220200808), and secure blockchain for financial applications (LP220100453). He has served on editorial boards of multiple IEEE journals including IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, and IEEE Internet of Things Journal. His service extends to organizing major conferences such as IEEE Globecom 2015 and IEEE INFOCOM 2016-2017.

Timothy P. Jacksonمشاهده پروفایل

عضو هیئت علمی

• Theological Ethics
• Moral Philosophy
• Christian Conceptions of Truth and Justice
• +۴ مورد دیگر

Timothy P. Jackson is a Senior Research Fellow and Bishop Mack B. and Rose Stokes Professor Emeritus of Theological Ethics at the Candler School of Theology, Emory University. He is also a senior fellow at Emory’s Center for the Study of Law and Religion and the Center for Ethics. Jackson holds degrees from Yale University (PhD 1984, MPhil 1980, MA 1978) and Princeton University (BA 1976). His research focuses on moral philosophy and theology, particularly the interplay between secular and Christian conceptions of truth, justice, freedom, and mercy. He has authored three books, edited two, and contributed to numerous publications. Jackson has held teaching positions at Rhodes College, Yale University, Stanford University, and the University of Notre Dame, and has been a visiting fellow at prestigious institutions like Harvard’s Program for Evolutionary Dynamics. His work bridges theology, law, and ethics, addressing topics such as human rights, anti-Semitism, and the role of love in liberal democracy. Education: Yale University (PhD 1984, MPhil 1980, MA 1978), Princeton University (BA 1976) Key Affiliations: Candler School of Theology, Emory’s Center for the Study of Law and Religion, Center for Ethics His research interests emphasize the integration of theological ethics with contemporary moral challenges, including the ethical implications of genomics, the relationship between law and theology, and the prioritization of love (agape) in public and private life. Jackson’s publications reflect a commitment to interdisciplinary dialogue, engaging philosophers, legal scholars, and religious thinkers. His media engagements, including Q&A sessions and lectures, highlight his focus on applying theological insights to modern societal issues such as human rights, social justice, and interfaith relations. His academic trajectory includes visiting roles at institutions like the Center of Theological Inquiry and the Whitney Humanities Center at Yale, demonstrating his influence in both theological and humanities circles. Jackson’s work often critiques reductive secularism while advocating for a robust theological engagement with modern ethical dilemmas.

• Text mining
• Intelligent information retrieval
• Natural language processing
• +۵ مورد دیگر

Efstathios Stamatatos is a Professor in the Department of Information and Communication Systems Engineering at the University of the Aegean, Greece. He has been a faculty member at the university since 2004, following previous research positions at the Wire Communications Lab of the University of Patras, the Polytechnic University of Madrid, the Austrian Research Institute for Artificial Intelligence, and the TEI of Ionian Islands. His primary research interests include Text mining, Intelligent information retrieval, Natural language processing, Machine learning, and Computer music, with a particular focus on authorship attribution, plagiarism detection, and web genre identification. His work bridges computational linguistics, digital forensics, and digital humanities, applying machine learning techniques to analyze textual patterns and stylistic features. Dr. Stamatatos has authored numerous publications on authorship attribution, plagiarism detection, and text classification, with a strong emphasis on developing robust methodologies that work across different domains and languages. His research has evolved from traditional n-gram approaches to more sophisticated techniques involving machine learning ensembles, topic modeling, and recently, addressing challenges posed by generative AI systems. He has served as Associate Editor for the International Journal of Digital Crime and Forensics, and as Editorial Board Member for Language Resources and Evaluation and Information Processing and Management. He has also been Guest Editor for a Special Issue on Plagiarism and Authorship Analysis in Language Resources and Evaluation. Dr. Stamatatos has been instrumental in organizing the PAN (Uncovering Plagiarism, Authorship, and Social Software Misuse) workshop series, serving as co-organizer and contributing numerous overview papers on authorship verification, plagiarism detection, and digital text forensics. He has also served on program committees for major conferences including ACL, SIGIR, ECIR, and AAAI.

Arnald Puyمشاهده پروفایل

دانشیار

• Environmental Science
• Climate Science
• Water Resources Management
• +۵ مورد دیگر

Dr Arnald Puy is an Associate Professor in Social and Environmental Uncertainties at the University of Birmingham's School of Geography, Earth and Environmental Sciences. His research focuses on understanding and appraising uncertainties in contentious phenomena related to agriculture, climate, and water resources, employing mathematical models, uncertainty/sensitivity analysis, post-normal science, and ethics of quantification. He leads the DAWN project, a £1.7M UKRI-funded initiative exploring deep uncertainties in irrigation water modeling. Puy is a prolific reviewer for top journals (e.g., Science , Nature Sustainability ) and actively mentors students in interdisciplinary fields like uncertainty analysis, traditional knowledge in irrigation, and science-policy interfaces. His work bridges Humanities and Sciences, advocating for rigorous yet ethical quantification in pressing environmental issues. Research Interests: Puy’s expertise spans interdisciplinary uncertainty analysis, socio-environmental modeling, climate-water dynamics, and the ethical implications of mathematical models. He emphasizes transparency in quantification processes, particularly in policy contexts. His work critiques overreliance on numerical claims and advocates for integrating diverse knowledge systems (e.g., indigenous practices) into environmental decision-making. Grants & Projects: As PI of DAWN, he combines philosophy, hydrology, and anthropology to address uncertainties in global irrigation modeling. This project highlights his commitment to transdisciplinary research. He collaborates with institutions like UKRI and ERC, reflecting his global academic influence. Teaching & Mentoring: Puy supervises students in interdisciplinary topics such as model ethics, traditional water management, and policy applications of uncertainty analysis. He encourages innovative research on controversial issues like climate policy and resource allocation. Affiliations: He contributes to initiatives like the Birmingham Institute for Sustainability and the School’s research portal, fostering collaboration across disciplines.