جست‌وجوی استاد و پژوهشگر

Edoardo Serraمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Edoardo Serra is an Associate Professor in the Department of Computer Science at Boise State University (BSU), a role he has held since July 2021. He previously served as an Assistant Professor at BSU from 2015 to 2021 and holds a joint appointment as a Senior Researcher at Pacific Northwest National Laboratory (PNNL) since June 2021. Since January 2023, he has co-directed the Computing Ph.D. Program at BSU and serves as General Chair of the 2024 ACM CIKM Conference. His academic journey includes a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), followed by postdoctoral positions at the University of Calabria and the University of Maryland. He also served as a Visiting Researcher at UCLA (2010–2011). His research focuses on AI/ML applications in cybersecurity, graph representation learning, generative AI, and robust AI systems. Notable projects include: NSF-funded cybersecurity curriculum integration Department of Defense-funded analysis of terrorist networks Idaho Department of Commerce precision agriculture initiatives Key research areas include graph neural networks, adversarial robustness, and ML-driven security solutions. His work has been recognized with awards such as Best Application Paper (2021) and Best Paper Award (2018). He actively contributes to professional service roles, including program chairs and editorial boards. Current projects emphasize AI ethics, generative models, and scalable graph algorithms. He advises on applied AI consulting for industry and government, focusing on model interpretability and cybersecurity implications.

Jiju Poovvancheriمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Vision
• Machine Learning
• +۸ مورد دیگر

Dr. Jiju Poovvancheri is an Associate Professor in the Department of Math & Computing Science at Saint Mary’s University, Halifax, Canada. He holds affiliations with the Graphics & Spatial Computing Lab and previously held postdoctoral positions at the University of Victoria and University of Calgary. His research focuses on computer graphics, 3D vision, and machine learning, with applications in virtual/augmented reality, autonomous robotics, urban planning, and bio-mechanical studies. Key research areas include point cloud processing, semantic surface reconstruction, spatial data structures, and geometric deep learning. Education: PhD from Indian Institute of Technology Madras (2011–2014), supervised by Prof. Ramanathan Muthuganapathy. Postdoctoral work at University of Calgary (EYES-HIGH Fellowship, 2015–2017) and University of Victoria (MITACS Elevate Fellowship, 2018). Research & Awards: Winner of MITACS Elevate Fellowship (2018), EYES-HIGH Fellowship (2015–2017), and multiple grants including NSERC DG (2019–2026). His work has been supported by NVIDIA GPU hardware, NSERC, CFI, and industry partners like Modest Tree Media and Caterpillar. Professional Activities: Associate Editor for IEEE Access , Guest Editor for special issues in Remote Sensing and Sensors , and reviewer for top conferences like CVPR, ICCV, and ECCV. Member of ACM SIGGRAPH, Solid Modeling Association, and IEEE Geoscience & Remote Sensing Society. Lab & Collaborations: Leads the Graphics & Spatial Computing Lab, collaborating with institutions globally. Current projects include "Interaction and navigation in virtual spaces" and industry partnerships with Modest Tree Media for real-time object recognition. Advising: Supervised over 20 graduate and undergraduate students, with notable alumni advancing to roles at ReelData AI, Royal Canadian Air Force, and academic institutions like Dalhousie University.

Wenqi Shiمشاهده پروفایل

استادیار

• Artificial Intelligence in Healthcare
• Precision Medicine
• Translational Medicine
• +۳ مورد دیگر

Dr. Wenqi Shi serves as an Assistant Professor at the Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center. Her research focuses on the integration of artificial intelligence with healthcare, particularly advancing algorithms and systems for precision medicine. She specializes in working with multi-modal patient data including EHRs, medical notes, imaging, and genomics, with dedicated applications in pediatric healthcare, cancer, and rare diseases. Her research interests include developing large language models for translational medicine, creating agentic AI and generative models for biomedical discovery, and establishing responsible AI practices to enhance clinical outcomes. Publication trends show extensive work in explainable AI, clinical decision support systems, and multi-modal data integration, with recent emphasis on retrieval-augmented language models and causal inference methodologies. Dr. Shi obtained her Ph.D. from the Georgia Institute of Technology prior to joining UT Southwestern.

• Political Economy
• Fiscal Federalism
• Immigration Policy
• +۳ مورد دیگر

Emanuele Bracco is an Associate Professor of Economics at the University of Verona since 2018, previously serving as Senior Lecturer at Lancaster University. He holds a PhD in Economics from the University of Warwick and an MSc in Economics from the London School of Economics. His research focuses on Political Economy, particularly fiscal federalism, immigration, and social capital. He is affiliated with the Department of Economics and contributes to research initiatives at the VELE (Verona Experimental Lab in Economics) and Visual Research Lab . **Education**: PhD in Economics, University of Warwick MSc in Economics, London School of Economics **Research Interests**: Political Economy: fiscal federalism, electoral systems, and institutional accountability Public Economics: taxation, shadow economy, and intergovernmental relations Immigration Policy: migration dynamics, social capital, and policy spillovers **Teaching**: Bracco teaches advanced courses in Industrial Economics, Monetary Economics, and Political Economy at the undergraduate, master's, and PhD levels. He has contributed to programs across Business Administration, Banking and Finance, and Economics and Finance PhD programs since 2018. **Committees & Roles**: He serves on the Faculty Board of PhD in Economics and Finance , Commissione Seminari , and other academic governance bodies. His work emphasizes interdisciplinary collaboration through centers like CRIEP (Interdepartmental Research Center on Public Economics) .

Lalitha Naveenمشاهده پروفایل

دانشیار

• Empirical Corporate Finance
• Corporate Governance
• Executive Compensation
• +۲ مورد دیگر

Lalitha Naveen is an Associate Professor of Finance at Temple University's Fox School of Business and Management. Her research focuses on empirical corporate finance, with emphasis on corporate board structure and executive compensation. She has previously taught at Purdue University and Georgia State University and brings industry experience from her four-year tenure in financial services, specializing in credit and equity analysis. Education: Chemical Engineering (B.E.), MBA, PhD in Finance from Arizona State University Dr. Naveen's research examines how corporate governance mechanisms influence firm policies and value. Key areas include board dynamics, executive pay structures, and regulatory impacts on financial institutions. Her work has been published in top-tier journals such as the Review of Financial Studies and Journal of Accounting and Economics. Recent publications highlight trends in board diversity, risk oversight under Dodd-Frank, and pay-for-luck asymmetry. Her articles have been recognized with Best Paper Awards, and she frequently presents at prestigious venues like the American Finance Association and SEC. Scientific Awards: Best Paper Awards Temple University Lindback Distinguished Teaching Award Outstanding Faculty of the Year Award Dr. Naveen has advised undergraduate, MBA, and doctoral students and has collaborated with researchers across institutions. Her industry background adds practical insights to her academic work in corporate finance and governance.

• Human-Centered Systems
• Human-Computer Interaction
• Artificial Intelligence
• +۹ مورد دیگر

Alessio Malizia is a Professor of User Experience Design at the University of Hertfordshire, UK, and concurrently holds a full Professorship at the Computer Science Department of the University of Pisa, Italy. His research focuses on Human-Centered Systems, Human-Centered AI, and Design Fictions, emphasizing ethical AI, user participation, and the integration of visual programming languages. He has held roles at institutions including Sapienza University of Rome, IBM, Silicon Graphics, and Xerox PARC, where he researched neural networks and gestural interfaces. His work bridges academia and industry, addressing challenges in healthcare, agriculture, and education. Malizia’s career includes visiting research at Xerox PARC, associate professorship at the University Carlos III of Madrid, and senior lecturer roles at Brunel University London. He is an ACM Distinguished Speaker and actively promotes democratizing AI through tools like BlocklyBias and PyFlowML. His research spans touchless interfaces, collaborative design methodologies, and AI explainability. Key contributions include frameworks for socio-technical process modeling in agriculture, tools for bias detection in AI data, and visual languages fostering user participation in ML systems. His work on telemedicine and healthcare AI emphasizes co-design and trusted AI systems. Recent studies explore end-user development for smart environments, digital agriculture, and computational thinking education through tools like TAPASPlay. Awards: ACM Distinguished Speaker Key Interests: Human-AI Interaction, UX Design, AI Ethics, IoT Ecosystems, and Co-Creation Methodologies Notable Projects: Figmant, ModeLLer, and the Chatbot Usability Scale validation His grants and collaborations focus on improving AI transparency, user-centered design processes, and participatory innovation in technology adoption across sectors.

Pinar Guven-Usluمشاهده پروفایل

دانشیار

• Performance Management
• Health Services Management
• Benchmarking
• +۳ مورد دیگر

Dr. Pinar Guven-Uslu is an Associate Professor in Accounting at the University of East Anglia (Norwich Business School), specializing in performance management and benchmarking within public and health sectors. She holds a BSc in Economics, MSc in Accounting & Finance, and a PhD in Accounting. Prior to academia, she worked at Deloitte and Touche International in audit and tax consultancy. Currently, she teaches management accounting and performance control at both undergraduate and postgraduate levels. Director of Postgraduate Research Member of Accounting & Quantitative Methods department Her research focuses on performance management in large organizations, strategic change in health services, and benchmarking in public sectors. Notable projects include: National Institute for Health Research-funded study on health managers' information-seeking behavior British Accounting Association-funded analysis of payment-by-results impacts on NHS decision-making EU-funded project on diversity/equality in healthcare management She advises PhD students across multiple institutions and has supervised completed theses since 2008. Pinar serves on editorial boards for journals like Journal of Accounting in Emerging Economies and Accounting, Auditing & Accountability Journal . Her work contributes to UN SDGs through health service transformation research in countries like Zambia, Turkey, and Saudi Arabia. Key themes include healthcare governance, policy implementation, and organizational change.

Filipe CALVAOمشاهده پروفایل

دانشیار

• Extractive Economies
• Labour & Employment
• Digital Technologies
• +۴ مورد دیگر

Filipe CALVAO is an Associate Professor of Anthropology and Sociology at the Graduate Institute of International and Development Studies. He specializes in socio-cultural anthropology focusing on postcolonial Africa, extractive economies, mining labor, and digital technologies. His research bridges nature, culture, and capital, particularly in mining communities and corporate governance. He leads three major projects: transparency in global mining, digital labor automation in the Global South, and synthetic-digital economies in mining. CALVAO holds a PhD from the University of Chicago and is affiliated with the Albert Hirschman Centre on Democracy and the Centre for International Environmental Studies. Thematic expertise includes extractive economies, labor dynamics, artificial intelligence, climate change, and globalization. Geographical focus spans Angola, Democratic Republic of the Congo, South Africa, Brazil, the U.S., and Australia. His peer-reviewed work examines topics like wageless labor in African mines, blockchain’s impact on labor, and visual appraisal practices in diamond evaluation. Research projects explore transparency technologies in mining, automation’s societal impacts, and the interplay between synthetic/natural objects in digital economies. He contributes to debates on sustainable development, illicit economies, and corporate governance through interdisciplinary approaches.

• Participatory Design
• Co-Design
• Public Sector Innovation
• +۴ مورد دیگر

Cara Broadley is a Research Fellow at the Institute of Design Innovation , part of The Glasgow School of Art . Her work bridges participatory design, co-creation, and public sector innovation, focusing on community engagement and policy-making in Scotland. She collaborates with institutions like ImaginationLancaster and BE-ST, contributing to projects on net zero policy, digital building standards, and social innovation. Current affiliation: Research Fellow, Institute of Design Innovation, The Glasgow School of Art Key collaborations: Zoe Prosser, Marianne McAra, Paul Smith Research Interests : Participatory Design : Co-developing tools for community empowerment and distributed participation Policy Innovation : Linking design practices with public policy (e.g., net zero, healthcare, legislation) Cultural Assets : Leveraging craft, tradition, and materiality for sustainable development Projects & Dissemination : Lead author of the SEE-PD repository for community engagement Contributed to PARliament Engagement for Scottish Parliament scrutiny Developed the Leapfrog framework for peer-to-peer community design

• Neurosymbolic AI
• Answer Set Programming
• Visual Question Answering
• +۳ مورد دیگر

Nelson Nicolas Higuera Ruiz is a PreDoc Researcher at the Vienna University of Technology, affiliated with the Faculty of Informatics' Knowledge-Based Systems research group. His work bridges logic programming and deep learning for explainable AI. Research Focus: Neurosymbolic AI, Visual Question Answering (VQA), Answer Set Programming (ASP), and hybrid reasoning systems Projects: Leads optimization research in the LCS (2017–2025) project, developing neurosymbolic approaches for intelligent systems Key Contributions: Pioneering adaptive large-neighbourhood search algorithms for ASP optimization, modular neurosymbolic architectures, and contrastive explainability frameworks for VQA Collaborations: Active in international workshops and conferences including IJCAI, AAAI, and CLeaR, frequently collaborating with researchers like Thomas Eiter and Johannes Oetsch Publications: Focus on neurosymbolic integration, optimization algorithms, and explainability across AI, logic programming, and computer vision domains

• Artificial Intelligence
• Medical Imaging
• Deep Learning
• +۳ مورد دیگر

Caner Özer is a Researcher affiliated with Istanbul Technical University's Department of Artificial Intelligence and Data Engineering and the University of Twente's MIA group. He holds a PhD in Computer Engineering from Istanbul Technical University (2020), an MSc in Telecommunication Engineering (2017-2020), and a BSc in Electronics and Communications Engineering (2013-2017). His research focuses on medical imaging AI, explainable artificial intelligence (XAI), deep learning applications in healthcare, and computer vision techniques for artifact detection in medical imaging. He has conducted visiting research at the University of Twente (2024) and serves on academic committees at Istanbul Technical University. Research interests include developing explainable models for mammogram analysis, enhancing medical image quality assessment via transformers and neural networks, and addressing challenges in cardiovascular MRI segmentation through motion artifact detection. His work bridges deep learning theory with practical clinical applications, emphasizing transparency and accuracy in AI-driven medical diagnostics. Notable contributions include cross-domain artifact correction for cardiac MRI, joint CNN-RNN models for intracranial hemorrhage detection, and XAI methods for chest X-ray analysis. His research has been published in top-tier venues with a focus on medical imaging and deep learning advancements.

Liang Xueمشاهده پروفایل

استادیار

• Applied Cryptography
• Cybersecurity
• Data Security and Privacy
• +۴ مورد دیگر

Liang Xue is an Assistant Professor in the School of Information Technology at York University. She holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2022) and completed a postdoctoral fellowship at the University of Guelph’s School of Computer Science (2022–2024). Her research focuses on applied cryptography, blockchain security, privacy-preserving AI, and cybersecurity in cloud and IoT systems. She has published in top-tier journals like IEEE Transactions on Dependable and Secure Computing, and conferences such as IEEE International Conference on Communications. Her work addresses challenges in data privacy, secure authentication, and regulatory compliance in decentralized systems. Recent projects include privacy-enhancing technologies for access control, blockchain-based data trading frameworks, and federated learning with privacy guarantees. She actively contributes to standards for cybersecurity in smart cities and next-generation wireless networks.

• Financial Reporting
• Voluntary Disclosures
• Corporate Governance
• +۳ مورد دیگر

Dr. Young Jun CHO is an Associate Professor of Accounting at the Singapore Management University (SMU), School of Accountancy. He joined SMU in 2011 after completing his PhD at Cornell University. His research focuses on financial reporting, voluntary disclosures, corporate governance, and sustainability reporting. He teaches financial accounting, financial accounting for law, and financial statement analysis at both undergraduate and postgraduate levels. Education: PhD in Management (Accounting), Cornell University, US MS in Management, Cornell University, US MS in Accountancy, University of Illinois at Urbana-Champaign, US MBA, Yonsei University, South Korea BA, Yonsei University, South Korea His research interests include the interplay between corporate disclosures, managerial incentives, and market efficiency. Recent work examines XBRL adoption, green supply chain disclosures, and the impact of segment reporting on internal capital markets. He has been recognized with awards such as the School of Accountancy Research Award (2012) and the Lee Foundation Fellowship (2011). Dr. CHO's publications span top accounting journals like The Accounting Review and Journal of Accounting Research. His grants and advising contributions are integral to the School of Accountancy's strategic priorities in Corporate Reporting & Disclosure and Sustainable Living initiatives.

Suresh Venkatasubramanianمشاهده پروفایل

استاد

• Algorithmic Fairness
• Automated Decision Making
• Computational Geometry
• +۴ مورد دیگر

Suresh Venkatasubramanian is a Professor at Brown University, previously at the University of Utah's School of Computing. His research focuses on algorithmic fairness, automated decision systems, computational geometry, and the societal impacts of AI. He co-founded the FAT* conference and sits on the ACLU of Utah board. He holds a B.Tech from IIT Kanpur and a Ph.D. from Stanford University. Education : B.Tech (Computer Science, IIT Kanpur), Ph.D. (Stanford University). Key Roles : Member of Computing Community Consortium Council, Research Advisory Council for NYC's FTA Tool, and First Judicial District of Pennsylvania. Research interests emphasize fairness, accountability, and transparency in algorithms. Notable contributions include work on predictive policing biases, Shapley-value critiques, and information access gaps. Awards include an NSF CAREER Award and an ICDE Test-of-Time Award. Grants : Mozilla Foundation, NSF BIGDATA, DARPA A4V. Teaching : Advanced Algorithms, Ethics of Data Science, and courses on algorithmic fairness. Service roles include organizing conferences like FAT* and ALENEX, and advising on algorithmic governance in criminal justice systems.

Paul Rosenمشاهده پروفایل

دانشیار

• Scientific Visualization
• Topology-Based Methods
• Network Visualization
• +۳ مورد دیگر

Paul Rosen is an Associate Professor at the University of Utah, affiliated with the Scientific Computing and Imaging Institute and the Kahlert School of Computing. He holds a Ph.D. in Computer Science from Purdue University (2010). Prior to his current role, he was an Assistant/Associate Professor at the University of South Florida (2015–2022) and a Research Assistant Professor at the University of Utah's SCI Institute (2010–2015). Research Focus: Rosen specializes in topology-based visualization techniques, with emphasis on network visualization, uncertainty quantification, and perceptual studies. His work bridges computational methods with human perception, aiming to enhance data understanding through effective visual design. Awards & Recognition: National Science Foundation CAREER Award (2019) Best Paper Awards at PacificVis 2016, IVAPP 2016, and multiple other conferences Honorable Mentions for IEEE VIS and VAST Challenge submissions Leadership: As General Chair of IEEE VIS 2024, Rosen led the planning for this flagship visualization conference, emphasizing community-driven design and in-person collaboration. Education Contributions: His research includes pedagogical innovations, such as predictive modeling for student feedback and peer review analysis in visual literacy courses.