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Abhraneel SarmaView profile

Researcher

• Uncertainty Visualization
• Data Analysis
• Multiverse Analysis
• +3 more

Abhraneel Sarma is a PhD candidate in Computer Science at Northwestern University, advised by Professors Matthew Kay and Jessica Hullman. His research focuses on addressing uncertainty in data analysis through tools like multiverse (an R package for sensitivity analysis) and Milliways (a visualization system for multiverse analysis validation). Uncertainty visualization Multiverse analysis Bayesian inference Reproducibility in research His work combines empirical studies and system development to improve data-driven decision-making. Publications include best paper awards at CHI 2019 and honorable mentions at CHI 2024, CHI 2023, and VIS 2022. 2025 : CHI 2024 : CHI (Best Paper Honorable Mention) 2023 : CHI (Best Paper Honorable Mention) 2022 : VIS (Best Paper Honorable Mention) 2019 : CHI (Best Paper Award) Email: abhraneel@u.northwestern.edu

Adam PererView profile

Associate Professor

• Human-Centered AI
• Data Visualization
• Healthcare Informatics
• +4 more

Adam Perer is an Associate Professor at Carnegie Mellon University, where he is a member of the Human-Computer Interaction Institute within the School of Computer Science. He serves as Co-Director of the Data Interaction Group and holds leadership positions as Area Papers Chair at IEEE VIS and Visualization Subcommittee Papers Chair at ACM CHI. Previously, he worked as a Research Scientist at IBM Research. Ph.D. in Computer Science from the University of Maryland, College Park Perer's research integrates data visualization and machine learning techniques to create visual interactive systems that help users make sense of big data. His work focuses on human-centered data science, extracting insights from clinical data to support data-driven medicine, and facilitating human-AI collaboration. He investigates how people engage with and make decisions using data, designing new interfaces to interact with complex information while assisting impactful domains drowning in data. His recent publications reveal a strong trend toward healthcare applications of AI and visualization, particularly in clinical decision support and overdose prevention. There's also a significant focus on explainable AI (XAI), with multiple papers examining how imperfect explanations affect human-AI collaboration and decision-making in critical contexts like healthcare. His work consistently bridges visualization theory with practical applications in high-stakes domains. Best Paper Honorable Mention for 'Dead or Alive: Continuous Data Profiling for Interactive Data Science' (VIS 2023) Best Paper for 'Neo: Generalizing Confusion Matrix Visualization' (CHI 2022) Most Reproducible Paper Award for 'SQLShare' (SIGMOD 2016) Perer actively mentors students across all levels, with PhD students focusing on human-AI collaboration in healthcare settings, visualization techniques, and clinical decision support systems. His lab receives funding for projects related to human-centered AI, data visualization in healthcare, and explainable machine learning systems. The Data Interaction Group, which he co-directs, focuses on empowering everyone to analyze and communicate data through interactive systems. His research has been supported by collaborations with medical institutions and appears in premier venues for visualization, human-computer interaction, and medical informatics. Current projects include Eye into AI (improving XAI interpretability), Predicting and Visualizing Overdose Risk, and AI applications in intensive care units.

• Human-Computer Interaction
• Social Neuroscience
• Information Theory
• +5 more

Juan Carlos Farah serves as both a Scientific Collaborator and Lecturer at the Fribourg School of Engineering and Architecture, part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). His academic appointments indicate an active role in both research and teaching within the institution's engineering and technology programs. Dr. Farah holds a PhD in Robotics, Control, and Intelligent Systems from the École Polytechnique Fédérale de Lausanne (EPFL), a Master of Science in Computing from Imperial College London, and a Bachelor of Arts in Economics from Harvard University. This interdisciplinary background spans computer science, engineering, and economics, providing a strong foundation for his current research endeavors. His research focuses on the intersection of human-computer interaction, social neuroscience, and information theory, with particular emphasis on how artificial intelligence with anthropomorphic traits affects human behavior and learning. Farah has made significant contributions to educational technology, especially in the development and evaluation of conversational agents for learning environments. His work examines how chatbots and large language models can be effectively integrated into educational contexts to support students while maintaining pedagogical integrity. An analysis of his recent publications reveals a strong trajectory in human-AI interaction within educational settings, with increasing focus on large language models since their emergence. His research spans multiple dimensions of educational technology including code review systems, computational thinking development, and the psychological impacts of technology on learners. The interdisciplinary nature of his work connects computer science, cognitive science, and educational theory. While no specific scientific awards are mentioned in the provided documentation, Dr. Farah's research has been published in reputable journals and presented at significant international conferences in educational technology and human-computer interaction. His research methodology combines both qualitative and quantitative approaches, often conducting controlled experiments with student populations to evaluate the effectiveness of educational technologies. Farah frequently collaborates with colleagues from multiple institutions, suggesting strong interdisciplinary research networks. His work appears to focus on practical applications of technology in real educational settings rather than purely theoretical investigations. Dr. Farah's research program appears centered around developing frameworks and tools for educational technology, with particular attention to how conversational agents can be designed to support specific learning objectives. His TRACE model for educational chatbot design and work on code review notebooks represent structured approaches to integrating AI technologies into pedagogical practices while addressing the unique challenges of educational contexts.

• Nineteenth-century British literature
• Victorian culture
• London history
• +3 more

Alistair Robinson serves as Associate Professor in English and Academic Director of the Centre for Apprenticeships at Northeastern University London, where he has shaped Degree Apprenticeship programmes from inception through current undergraduate and postgraduate delivery. A Fellow of the Higher Education Academy, Robinson holds advanced degrees in English from University College London, University of Edinburgh, and University of Cambridge. His academic background includes: PhD in English, University College London MScRes in English, University of Edinburgh MA in English, University of Cambridge Robinson specializes in British nineteenth-century literature and culture with rigorous focus on poverty, mobility, class, and race intersections. Recent research examines Robert Louis Stevenson's Scottish coastal connections and Benjamin Robert Haydon's Regency London May Day depictions, demonstrating his interdisciplinary approach bridging literary analysis with urban history and cultural studies. His 2021-2025 publications reveal sustained engagement with London's social fabric across historical periods, particularly Victorian-era vagrancy and migration. Works span journal articles, book chapters, and reviews exploring urban festivals, institutional poverty, and cultural memory through methodologically diverse lenses. Robinson's scholarly recognition includes: Fellow of the Higher Education Academy No information is available regarding graduate student supervision or research grants. As Academic Director of the Centre for Apprenticeships, he leads institutional strategy for work-integrated learning programmes through cross-sector partnerships.

• Educational Technology
• Learning Analytics
• Artificial Intelligence in Education
• +3 more

Marcus Specht is a Professor affiliated with Delft University of Technology and Leiden University, Netherlands. His research focuses on Educational Technology, Learning Analytics, and Artificial Intelligence in Education. He has contributed to projects involving agent-based social skills training, hybrid intelligence for cognitive process analysis, and computational thinking assessment in higher education. His work spans mobile learning, collaborative learning analytics, and gamification in MOOCs. He collaborates extensively with researchers like Marco Kalz, Roland Klemke, and Hendrik Drachsler. Notable contributions include the Presentation Trainer for public speaking feedback and the DojoIBL platform for inquiry-based learning. His research emphasizes multimodal learning systems, including AR/VR applications and sensor-based training tools. He explores the integration of AI into educational platforms, as seen in projects like JELAI and the ARTES architecture for social skills training.

Bin GuoView profile

Assistant Professor

• Parallel and Distributed Computing
• Graph Algorithms
• Graph Mining
• +5 more

Bin Guo is an Assistant Professor at the Computer Science Department of Trent University (since Jan. 2024) and an Adjunct Assistant Professor at the Computing & Software Department of McMaster University. He holds a PhD in Computer Science from McMaster University (2023) and an MSc in Applied Computer Science from Winnipeg University (2018). His research focuses on parallel/distributed computing, graph algorithms, and computer security for data analytics, with notable contributions to federated k-core decomposition and secure distributed algorithms. He teaches courses in database systems, operating systems, and computer security at Trent University and has taught at McMaster University. Education: PhD in Computer Science, McMaster University (2023) MSc in Applied Computer Science, Winnipeg University (2018) Research Interests: Parallel and Distributed Computing Graph Algorithms and Mining Computer Security & Privacy Federated Learning Concurrent Data Structures Advising & Grants: Current advisees: Gregory Prouty, Michael Abiona, Syed Zarif Past advisees: Igor Jardim-Martins, Issec Lee Funding sources: Graduate Teaching Assistantships, Research Fellowships, Trent University Research Development Grants Labs & Teams: Leading research projects in parallel graph algorithms and federated security algorithms Collaborating with McMaster University on PhD/Master's co-supervision

Abhinav BhateleView profile

Associate Professor

• High Performance Computing
• Systems
• Networking
• +4 more

Abhinav Bhatele is an Associate Professor in the Department of Computer Science at the University of Maryland, College Park, and directs the Parallel Software and Systems Group. He holds affiliate roles in the AIM Institute and AMSC Program. His research focuses on high-performance computing, systems, networking, and AI, particularly in parallel computing, distributed AI, and machine learning applications. He has contributed to frameworks like AxoNN and Hatchet, and his work spans performance modeling, network simulation, and scalable deep learning. Education: Ph.D. (2010), M.S. (2007), and B.Tech. (2005) in Computer Science from the University of Illinois at Urbana-Champaign and IIT Kanpur, respectively. Prior to UMD, he was at Lawrence Livermore National Laboratory (2011–2019). Research interests include parallel systems, network design, performance analysis tools, and applying machine learning to optimize HPC workflows. He has received notable awards, including the IEEE TCSC Award (2023), NSF CAREER (2021), and UIUC Early Career Alumni Award (2024). Key achievements include developing open-source tools like Hatchet and AxoNN, optimizing large-scale LLM training, and advancing GPU-based supercomputing. He advises over 10 students and has secured grants totaling millions, focusing on HPC software ecosystems and AI integration. Professional service includes roles at SC, ISC conferences, and editorial work for IEEE TPDS. His lab collaborates on projects like the Exascale Computing Project and DOE INCITE allocations.

Fatemeh NargesianView profile

Assistant Professor

• Data Management
• Data Science
• Data Discovery and Integration
• +4 more

Fatemeh Nargesian is the James P. Wilmot Distinguished Assistant Professor of Computer Science at the University of Rochester's Hajim School of Engineering & Applied Sciences. She holds a PhD from the University of Toronto. Her research focuses on data management, particularly in discovering and integrating heterogeneous data across large repositories. She applies probabilistic methods and machine learning to optimize data acquisition costs, enable scalable climate data analysis, and develop algorithms for data lake navigation. Education: PhD in Computer Science, University of Toronto Research Interests: Data discovery and integration, probabilistic data management, automated feature engineering, and climate data analysis. Her work addresses challenges in data lakes, including efficient search algorithms and semantic table unions. She also explores fairness in entity matching and cost-efficient dataset construction. Key Contributions: Includes the OpenForge, PLUTUS, and TSUPY frameworks for data integration, as well as award-winning systems like Interactive Navigation of Open Data Linkages (Best Demo Award, 2017). Her recent work emphasizes climate network analysis and ethical data practices. Lab/Teams: Her research involves developing tools like TSUBASA for real-time climate data analysis and Pylon for semantic table union search in data lakes. She collaborates on projects such as Dataset Evolver, an interactive feature engineering notebook.

David Durand-GuédyView profile

Researcher

• Medieval Iranian History
• Persianate World
• Saljuq Dynasty
• +6 more

David Durand-Guédy is a researcher at the University of Hamburg's Asien-Afrika-Institut, Department of History and Culture of the Near East. A historian specializing in 11th- to 13th-century Iran and the Persianate world, he leads a DFG-funded project (2023-2025) on a 13th-century Persian inshāʾ manuscript from Anatolia (MS Marʿashī 11136). His academic journey included studies at École Normale Supérieure (Fontenay-Saint-Cloud), Sorbonne, INALCO (Paris) and extensive work in Tehran. PhD in History, Aix-en-Provence (2004) Former affiliations: SFB 586 (Halle), Centre for Manuscript Cultures (Hamburg), Research Center for Anatolian Civilizations (Istanbul) His research focuses on the transformation of Iranian society during the Saljuq period, with particular interest in nomadic integration, Ismaili networks, urban dynamics, and manuscript-based historiography. He pioneered the study of the unicum manuscript of ʿImād al-Dīn Iṣfahānī’s chronicle and co-edited the 2023 volume Personal Manuscripts: Copying, Drafting, Taking Notes . Recent publications analyze Ilkhanid private documents, Saljuq rulers' literary practices, and Mongol-era Persianate manuscript cultures. His work reveals patterns in Turco-Iranian identity formation, chancery evolution, and manuscript-based social history. Scientific recognition includes: Saidi Sirjani Book Award (2012) for Iranian Elites and Turkish Rulers Ketab-e Sāl Institute Award (2011) He contributes to manuscript digitization initiatives and comparative studies of nomadic governance, with a focus on the 'RomanIslam' transcultural research framework.

Andy SmithView profile

Researcher

• Computer Science Education
• Artificial Intelligence
• Data Mining
• +3 more

Andy Smith is a Research Scientist at the Department of Computer Science within the College of Engineering at North Carolina State University. He is affiliated with the Intellimedia Group and focuses on enhancing learning environments through data-mining and artificial intelligence techniques. Education: Ph.D. in Computer Science (2020), North Carolina State University M.S. in Computer Science (2016), North Carolina State University B.S.E. in Electrical/Computer Engineering and B.S. in Computer Science (2005), Duke University His research spans game-based learning environments, military training scenario generation, and automated analysis of student drawings in digital science notebooks. He applies machine learning and behavioral modeling to personalize educational experiences and assess learning outcomes. Scientific Awards: President’s Volunteer Service Award – Gold Level (2013) NCSU College of Engineering Fellowship (2011) NCSU Graduate Dean’s Fellowship (2010) Smith previously worked at SPAWAR Systems Center in San Diego, developing sensor integration systems for underwater gliders. He is part of the Intellimedia Group, which designs intelligent educational technologies and adaptive learning frameworks.

Rebeckah FussellView profile

Researcher

• Physics Education Research
• Machine Learning Applications in Education
• Educational Technology
• +3 more

Rebeckah Fussell is a researcher in the Physics department at Cornell University, affiliated with the Center for Physics Education Research (CPERL) under Natasha Holmes. She focuses on applying machine learning to advance Physics Education Research (PER), analyzing student interactions in labs, and assessing educational technologies' reliability and bias. Her work bridges PER with computational methods, emphasizing trustworthy AI applications and interdisciplinary research. She contributes to the Graduate and Undergraduate Programs in Physics at Cornell, offering expertise in lab instruction design and educational data analysis. Her research explores student epistemic framing, open-structure lab courses, and the ethical implications of machine learning in education. Recent articles highlight her focus on large language models for student assessment, bias mitigation in multi-institutional studies, and hybrid forecasting in chaotic systems. While no specific awards are listed, her publications underscore contributions to improving educational methodologies through computational tools. Rebeckah collaborates within the CPERL research group and the CDER Physics program. No specific grants or advising details are publicly noted, though her involvement in PER methodology and educational technology signals active engagement in both research and teaching capacities.

Wen YeView profile

Assistant Professor

• User Experience Design
• Empathy-Driven Design
• Wearable Technology
• +3 more

Wen (Vivian) Ye is an Assistant Professor of Practice in the Department of Design at the University of Texas at Austin. She holds dual Master of Fine Arts degrees from the University of California–Davis and the Marangoni Institute in Italy. Her academic role combines teaching design thinking and advanced design studio courses with industry experience from roles as a fashion designer at VERO MODA and a global fashion buyer for Armani. Her research focuses on user experience, empathy-driven design, and wearable technology, emphasizing cross-disciplinary collaboration. Ye actively participates in National Science Foundation (NSF) projects aimed at improving transportation and power systems through electric vehicles and clean energy solutions. She designs educational materials for these initiatives, bridging academic and industrial applications. Her work highlights innovation in sustainable technology and human-centered design principles. Her recent publications span data science code generation, neural network adaptation, and uncertainty quantification in machine learning. These contributions address foundational challenges in AI and computational methodologies, reflecting her dual expertise in design and technical systems.

Pengyu NieView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Program Analysis
• +2 more

Dr. Pengyu Nie is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science. His research enhances developer productivity through machine learning techniques for software testing, code maintenance, and program analysis. Specific interests include execution-guided test completion, code-comment co-evolution, and multilingual programming systems. Current projects investigate LLM-based code editing in computational notebooks, multilingual code co-evolution, and test generation for exceptional behaviors. Research outputs include tools like pytest-inline for Python testing and Roosterize for Coq lemma suggestions. Awards include the Margarida Jacome Dissertation Award (2023) and ACM SIGSOFT Distinguished Paper Awards (2023, 2019). He leads the UW-SWaG research group and advises PhD/master's students on software engineering and ML projects.

• Human-Computer Interaction (HCI)
• Machine Learning
• Cognitive Science
• +3 more

Kyoungwon Seo is a Professor affiliated with Hanyang University, actively contributing to interdisciplinary research spanning Human-Computer Interaction (HCI), Machine Learning, and Cognitive Science. His work focuses on applying advanced technologies like VR, EEG analysis, and large language models to address challenges in healthcare diagnostics, education, and workplace design. Co-founded the Imagine Lab at Hanyang University, exploring innovative HCI applications. Expertise in gamification strategies for manufacturing workforce behavior modification. Pioneer in developing EEG-SSVEP based machine learning models for early detection of Mild Cognitive Impairment (MCI). His research bridges theoretical foundations in decision theory (e.g., ambiguity models) with applied work in educational technology, including AI-enhanced learning platforms and chatbot systems for career counseling and critical thinking assessment.

Karol PrudilView profile

Lecturer

• Graphic Design
• Typography
• Book Design
• +3 more

Karol Prudil is a Slovak graphic designer and typographer serving as a Lecturer in the Department of Visual Communication at the Academy of Fine Arts and Design in Bratislava. His professional practice spans publication design, packaging design, typeface creation, and visual identity development, balancing academic responsibilities with an extensive portfolio of commissioned work for publishers, cultural institutions, and commercial clients across Europe. Prudil's educational foundation includes: Master of Fine Arts from Academy of Fine Arts in Bratislava, Department of Visual Communication (2003-2009) under Doc. Pavel Choma Academy of Arts, Architecture and Design in Prague – Font and Typography studio (2008) with František Štorm SOU Polygraphics in Bratislava diploma (1997-2001) His creative research explores materiality in typography, innovative book structures, and the relationship between form and function in visual communication. Prudil has developed several notable typefaces including Klin and its variants, recognized for blending geometric precision with organic, tactile characteristics. His design philosophy emphasizes thoughtful material choices, structural innovation, and creating meaningful user experiences through interactive elements in books and packaging. The recurring themes in his portfolio include spatial relationships in two-dimensional design, material experimentation, and systems that invite user participation across physical and digital media. Analysis of Prudil's publication history reveals consistent exploration of book form boundaries and sophisticated understanding of typography across media. His work bridges historical design traditions with contemporary needs, resulting in conceptually rich yet functionally elegant solutions. The evolution from his early award-winning lie-stand book (2007) to current remini notebook brand demonstrates maturation from experimental forms to sustainable commercial applications while maintaining design integrity. Prudil's professional recognition includes: National Design Award 2009 – Klin Font recognition National Design Award 2007 – interactive book lie-stand recognition As an educator, Prudil conducts workshops on book binding and paper work since 2011, alongside lectures on books, paper, and business development. His teaching emphasizes hands-on material experience while developing conceptual depth. His professional practice operates through the registered brand 'remini' (established 2012), focusing on notebooks and diaries, and through collaborations with publishing houses and cultural institutions including participation in international projects like the SIDEWAYS exhibition at the Venice Architecture Biennale.