جست‌وجوی استاد و پژوهشگر

• Computer Science
• Electrical Engineering
• Artificial Intelligence
• +۵ مورد دیگر

Umer Farooq is a Professor at Dhofar University's College of Engineering, specializing in Electrical and Computer Engineering. His research spans interdisciplinary areas including artificial intelligence, nanotechnology, educational technology, and cybersecurity. He has contributed to over 90 publications since 2002, focusing on topics such as neural networks, federated learning, IoT security, and biomedical applications. His work bridges theoretical advancements with practical implementations in fields like medical imaging, renewable energy systems, and smart education platforms. Research interests emphasize innovative solutions at the intersection of engineering and computing. Notable contributions include federated learning frameworks for education, neural network-based medical diagnostics, and secure IoT systems. Recent trends in his publications highlight advancements in machine learning for healthcare, nonlinear dynamics in electronic systems, and sustainable energy solutions. No scientific awards or grants are explicitly listed in the provided texts. Collaborations span global institutions, reflecting his active role in international academic networks.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +۱۲ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

• Human-Computer Interaction
• Autism Research and Assistive Technologies
• Mental Health Applications
• +۷ مورد دیگر

Hwajung Hong is an Associate Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing. With a prolific publication record spanning from 2009 to 2025, Dr. Hong has established herself as a leading researcher at the intersection of Human-Computer Interaction, accessibility, and mental health applications. Her work frequently appears in top-tier venues including CHI, CSCW, and DIS, with growing emphasis on AI/LLM applications in recent years. Dr. Hong's research focuses on designing technology for vulnerable populations, particularly individuals with autism spectrum disorder, mental health challenges, and neurodiverse communities. Her early work centered on social computing applications for autism support, evolving toward more comprehensive systems addressing mental wellness, stress management, and relationship dynamics. Recent publications demonstrate a strategic pivot toward leveraging large language models for healthcare interventions, communication support, and bias mitigation. Analysis of her 15 most recent publications reveals a strong trajectory toward AI-mediated interventions across multiple domains - from mental health support for Korean investigative officers to communication tools for minimally verbal autistic children. Her work consistently emphasizes user-centered design, cultural sensitivity, and practical implementation in real-world contexts rather than purely theoretical approaches. Dr. Hong has mentored numerous graduate students who have become productive researchers in their own right, with Kwangyoung Lee, Dasom Choi, and Hyunseung Lim appearing as frequent collaborators on recent publications. Her research program demonstrates remarkable continuity in addressing human-centered challenges while adapting methodologies to incorporate emerging technologies.

Reid Holmesمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Code Search
• +۷ مورد دیگر

Reid Holmes is a Professor in the Software Practices Lab at the University of British Columbia's Department of Computer Science, Faculty of Science. With over 15 years of academic experience, he has progressed from Assistant Professor at the University of Waterloo (2010-2015) to Associate Professor (2015-2022) and now full Professor (2022-present) at UBC. His research spans multiple dimensions of software engineering with a strong emphasis on the human aspects of development. Dr. Holmes' research interests focus on understanding the problems software engineers encounter when creating and evolving software systems. His work examines software testing and validation, source code reuse, code search, context-sensitive example location, API understanding, speculative analysis, code review, and team awareness. He believes that by better understanding how people create, explore, evolve, and reason about software systems, we can enhance developers' effectiveness and improve software quality. His research is characterized by its practical application to real-world software development challenges. His recent publications demonstrate a consistent focus on improving developer productivity through better tools and understanding of developer behavior. The publications reveal a trajectory from traditional software engineering topics toward newer areas involving AI-assisted development, with particular attention to how generative AI affects workflow and collaboration. His work consistently bridges theoretical software engineering concepts with practical developer experience considerations. ACM SIGSOFT Distinguished Paper Award (multiple times) FSE 2024 Most Impactful Paper Award 2024 ICSE Most Influential Paper Award Winner of the 2008 MSR Mining Challenge As an educator and mentor, Dr. Holmes has supervised numerous graduate students who have gone on to successful careers in academia and industry. He has served on program committees for major software engineering conferences including ICSE, FSE, and MSR, and has been an Associate Editor for TSE since 2016. His work on developer tools like CodeShovel, Devy, and Baker demonstrates his commitment to creating practical solutions that address real developer pain points.

Michael Coblenzمشاهده پروفایل

استادیار

• Usability of programming languages
• User-centered programming language design
• Type systems for safety
• +۶ مورد دیگر

Michael Coblenz is an Assistant Professor in the Computer Science Department at University of California, San Diego. His research focuses on integrating user-centered design into programming language development, creating safer languages for blockchain and scientific computing. He completed his Ph.D. at Carnegie Mellon University under Jonathan Aldrich and Brad A. Myers, followed by a Basili postdoctoral fellowship at University of Maryland. Specializes in usability of programming languages Created Obsidian language for safer smart contracts Developed PLIERS methodology for iterative language design Active in Rust usability and REST API quality research His work bridges programming languages and human-computer interaction, with recent projects including Kale (safer spreadsheets) and climate change-focused programming tools. He has served on program committees for SPLASH, VL/HCC, and HATRA conferences. 2025: Graduate Consortium Co-chair at VL/HCC 2024: HATRA Organizing Chair 2023: Doctoral Symposium Chair at SPLASH

Sarah E. Chasinsمشاهده پروفایل

استادیار

• Programming Languages
• Human-Computer Interaction
• Program Synthesis
• +۳ مورد دیگر

Sarah E. Chasins is an Assistant Professor at the University of California at Berkeley , affiliated with the College of Engineering and Department of Electrical Engineering and Computer Sciences . She leads the PLAIT Lab (Programming Languages for Approachable and Inclusive Tools), with additional affiliations at the Berkeley Institute for Data Science (BIDS) and collaborations across disciplines. Her research focuses on democratizing programming through Program synthesis Human-Computer Interaction for programming languages Tools for non-traditional programmers Embedded domain-specific language design Web automation frameworks She has developed systems like Ringer for browser automation and Skip Blocks for execution history reuse. Recent publications highlight trends in Direct manipulation programming Synthesis-backed refactoring Sequence-to-tree code search DSL usability for domain experts Functional programming practices Web script optimization She has advised numerous graduate and undergraduate researchers, including: Current PhD students: Justin Lubin, Eric Rawn, Parker Ziegler Alumni: Gabriel Matute (MSc), Rebecca Hicke (undergraduate) Her service includes committee roles at top conferences like OOPSLA, PLDI, and PLATEAU, as well as teaching courses on CS164: Programming Languages and Compilers CS294-184: Building User-Centered Programming Tools CS39-001: Technology, Society, and Power

Richard Zowallaمشاهده پروفایل

پژوهشگر

• Health Informatics
• Web Data Mining
• Text Mining
• +۴ مورد دیگر

Dr. sc. hum. Richard Zowalla is a researcher at the Faculty of Computer Science, Heilbronn University, specializing in health informatics and software engineering. He works at the Interdisciplinary Center for Machine Learning (ZML) and focuses on health web analysis, text mining, and open source software. Education: Doctorate in human sciences (Dr. sc. hum.), dissertation on German health web data analysis (2022) Research interests include health information systems, focused web crawling, text mining, and software quality management in agile environments. His work bridges healthcare and computer science through data-driven analysis of online medical resources. Publication trends show expertise in health web readability, multilingual health data comparison, and AI-driven service innovation. His articles emphasize practical applications of machine learning and data visualization in healthcare contexts. Teaching: Software Lab (2016-2025), Advanced Programming Techniques (2020-2024), Database Internship (2014-2025), Distributed Systems (2016-2017) Labs & Teams: Active member of the Interdisciplinary Center for Machine Learning (ZML) at Heilbronn University, contributing to collaborative research in health data analysis.

Philipp Slusallekمشاهده پروفایل

استاد

• Computer Graphics
• Artificial Intelligence
• High-Performance Computing
• +۷ مورد دیگر

Philipp Slusallek is a Professor for Computer Graphics at Saarland University since 1999 and Scientific Director at the German Research Center for Artificial Intelligence (DFKI), leading the "Agents and Simulated Reality" research area since 2008. He has held leadership roles such as Director for Research at the Intel Visual Computing Institute (2009-2017) and Dean of the Faculty of Computer Science and Mathematics (2002-2004). His affiliations include being a Principal Investigator in the German Excellence Cluster "Multimodal Computing and Interaction" (2007-2019) and a Visiting Professor at NVIDIA Research (2007-2008). PhD in Computer Science from Erlangen University Diploma in Physics from Frankfurt and Tübingen University His research spans computer graphics, artificial intelligence, and high-performance computing, with contributions to real-time ray tracing, digital reality, motion synthesis, and domain-specific languages (DSLs). Recent work includes visual programming tools for image processing (2022), DSL frameworks for high-performance libraries (2018), and compiler optimizations for vectorized code (2018). Key themes include simulation technologies, programming models, and computational sciences. Scientific honors include Fellow of Eurographics, Associate Editor of Computer Graphics Forum , membership in acatech (German National Academy of Science and Engineering), and advisory roles in AI policy. He has led research groups at institutions like Stanford University (Visiting Assistant Professor, 1998-1999) and the University of Tübingen (Researcher, 1990-1992).

• Socio-Technical Information Systems
• Digital Transformation
• Human-Computer Interaction
• +۷ مورد دیگر

Prof. Dr. Henner Gimpel holds the Chair of Digital Management at the University of Hohenheim. He serves as Vice Dean for Research and Knowledge Transfer at the Faculty of Business, Economics and Social Sciences, and heads the Digital Business Management program. He also holds leadership roles at the Fraunhofer FIT's Business Informatics branch and the FIM Research Institute for Information Management, while directing the Digital Leadership Academy. University of Hohenheim - Chair of Digital Management Fraunhofer FIT - Business Informatics Branch FIM Research Institute - Director Digital Leadership Academy - Academic Director Education : Industrial Engineering (Business Administration & Applied Computer Science), Karlsruhe Institute of Technology (KIT) Doctorate in Business Informatics, Behavioral Economics, and Psychology, KIT Research Interests : His work focuses on socio-technical information systems where people, information, and digital technologies interact. Key research areas include artificial/hybrid/collective intelligence, digital health, smart sustainability, digital ethics, and IT adoption. He employs empirical studies, experiments, and design-oriented approaches, with interdisciplinary connections to psychology, computer science, sociology, medicine, and ethics. Publication Trends : Recent articles (2023-2025) span topics like AI-augmented facilitation, digital stress analysis, healthcare collaboration systems, smart energy technologies, and generative AI competencies. They reflect methodological diversity across design science research, Kano analysis, action design research, and empirical experiments. Scientific Awards : Friedrich von Klinggräff Medal Deutsches Aktieninstitut University Competition First Prize Walter-Georg-Waffenschmidt Prize for Business Administration Fugger Prize for Science Multiple Teaching Awards Practical Engagement : Through five years as McKinsey & Company management consultant and collaborations with Allianz, BMW, IBM, Siemens, and university hospitals, he bridges academic research with industry applications in digital transformation. Academic Leadership : He contributes to editorial boards (Electronic Markets) and program committees (ICIS, ECIS, WI), while pioneering cognitive apprenticeship-based teaching methods. His work impacts digital workplace design, healthcare informatics, and sustainable business models.

Daniel Leidnerمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Daniel Leidner is a Cooperation Professor at the University of Bremen and a researcher at the German Aerospace Center (DLR) where he has been contributing to the Institute of Robotics and Mechatronics since 2011. He earned his doctorate in Artificial Intelligence and Robotics from the University of Bremen in 2017. Since 2017, he has led the Semantic Planning Group and the Fault-Tolerant Autonomy Architectures group at DLR, focusing on advanced task planning for autonomous robotic systems and enhancing the reliability of robotic operations in dynamic environments. Leidner's research interests span multiple areas in robotics and artificial intelligence. His work emphasizes developing robust and resilient robotic systems capable of autonomous operation in complex environments. He specializes in creating systems that can not only handle predictable scenarios but also flexibly respond to unforeseen events. His ERC Starting Grant project RECOVER.ME aims to equip robots with metacognitive abilities to autonomously manage hardware malfunctions by integrating formal reasoning with Vision-Language Models. This innovative approach enhances the resilience and efficiency of space robots, reducing the need for manual intervention during missions and leveraging insights from cognitive psychology for improved problem-solving capabilities. Leidner's research portfolio includes significant projects such as RECOVER.ME, FUTURO, EASE, OPERA, Smile2gether, Surface Avatar, and CoViPa. His publications demonstrate a strong focus on autonomous task planning, human-robot interaction, fault tolerance, and metacognitive capabilities in robotic systems. Recent publications highlight advancements in space teleoperation, assistive robotics, and cognitive reasoning for resilient robotic systems. ERC Starting Grant (2024) for project RECOVER.ME Georges Giralt PhD Award (Best European PhD Thesis in Robotics) Helmholtz Doctoral Prize MIT Technology Review Innovator under 35 Award Leidner has served as an advisor to the German Federal Government from October 2023 to July 2024, where he played a crucial role in developing a national strategy for AI-based robotics. His leadership in the Semantic Planning Group and Fault-Tolerant Autonomy Architectures group at DLR demonstrates his significant contributions to advancing robotic capabilities in challenging environments. His work bridges theoretical advances in cognitive robotics with practical applications in space exploration, healthcare, and industrial automation.

• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• Accessibility in Technology
• +۳ مورد دیگر

John Quarles is a Professor at the University of Texas at San Antonio, specializing in Virtual Reality (VR) and Human-Computer Interaction. His research focuses on accessibility in immersive technologies, cybersickness mitigation, and inclusive design. He has contributed over 100 publications across top venues like IEEE VR, ISMAR, and IEEE Transactions on Visualization and Computer Graphics. His work addresses challenges faced by users with disabilities, such as balance impairments and mobility limitations, through innovative feedback systems and adaptive algorithms. Quarles has co-authored influential papers on cybersickness prediction, VR accessibility for persons with Multiple Sclerosis, and disability simulations to reduce societal bias. He has held leadership roles including Program Chair for IEEE VR 2023, demonstrating his influence in academic and industrial VR communities. His research spans interdisciplinary applications in healthcare, education, and rehabilitation, with notable collaborations on datasets like 'Mazed and Confused' and frameworks like SmoothRide. Key themes include multimodal feedback methods, user-centric design principles, and leveraging AI for personalized VR experiences.

• Science Communication
• Artificial Intelligence in Communication
• Human-AI Interaction
• +۷ مورد دیگر

Angelica Henestrosa is a Doctoral Researcher and Research Associate at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, affiliated with the Knowledge Construction lab. She is also associated with Eberhard Karls University Tübingen, where she contributes to teaching in the Faculty of Psychology. Her work is embedded within the interdisciplinary Human-Agent Interaction network, focusing on public perceptions of AI in science communication. Doctoral Researcher, Knowledge Construction Lab, IWM (2020–present) Master in Psychology, Eberhard Karls University Tübingen (2014–2020) Her research centers on the psychological and communicative dimensions of AI-generated content, particularly in science journalism. She investigates how the perceived authorship (AI vs. human), disclaimers, and presentation of evaluative information influence credibility, trust, and public comprehension. Her work bridges psychology, media studies, and artificial intelligence, with a strong empirical focus using representative surveys and experimental designs. The trends in her recent publications highlight a consistent focus on understanding public attitudes toward AI in science communication. Her work spans from examining the impact of disclaimers to comparing human and AI authorship effects, using data from representative German samples. Keywords across her articles include human-AI interaction, automated journalism, credibility perception, and public trust—indicating a cohesive research program centered on the societal integration of AI in knowledge dissemination. Angelica Henestrosa has not received any explicitly mentioned scientific awards in the provided text. She advises no formal students listed in the available data but collaborates extensively with senior researchers such as Prof. Dr. Joachim Kimmerle, Dr. Ulrike Cress, and others. Her research is supported through institutional funding at IWM, particularly within the 'AI for Science Communication' project, which runs until 2025, and a longitudinal human-AI interaction study extending to 2026. These projects involve interdisciplinary collaboration across multiple IWM labs. She is an active member of the Knowledge Construction lab at IWM and contributes to the broader Human-Agent Interaction research network. Her work involves collaboration with the Multimodal Interaction, Everyday Media, and Perception and Action labs, reflecting the interdisciplinary nature of her research. She also participates in teaching activities at the university level, delivering lectures on knowledge media in education, work, and leisure.

• Computer Science Education
• Logic Programming
• Ontology Engineering
• +۲ مورد دیگر

Laura Andrea Cecchi is an active researcher specializing in computer science education, logic programming, and ontology engineering. Her work focuses on developing innovative pedagogical approaches for teaching computational thinking at early educational stages, with significant contributions to gender-inclusive STEM education. Research Interests: Her primary research explores: Logic programming curriculum development for primary education Visual tools for ontology engineering and knowledge representation Eye-tracking and HCI applications in programming pedagogy Gender-inclusive strategies for computer science education Automated reasoning in ontology-based systems Publication Trends: Her recent work (2020-2024) shows a strong focus on educational technology and democratizing programming education, while earlier publications (2015-2019) centered on formal methods and ontology engineering. She consistently publishes at premier computer science conferences including ICLP, CLEI, and IJCAI. Collaborations: Frequent collaborations with Jorge Pablo Rodríguez and Verónica Dahl appear across her publication record, particularly in education-focused research.

Bilal Zafarمشاهده پروفایل

استاد

• Human-Centric AI
• Algorithmic Fairness
• Explainable AI
• +۳ مورد دیگر

Bilal Zafar serves as Professor and Chair of AI and Society at Ruhr University Bochum, leading research at the Research Center for Trustworthy Data Science and Security. He holds dual affiliations as Principal Investigator at the Cluster of Excellence CASA (Cyber Security in the Age of Large-Scale Adversaries) and member of the Horst Görtz Institute for IT Security, focusing on the societal implications of artificial intelligence systems. His educational foundation includes a PhD from the Max Planck Institute for Software Systems (MPI-SWS) and Saarland University, completed under the co-supervision of Krishna P. Gummadi and Manuel Gomez Rodriguez. This training established his expertise in the intersection of human behavior and machine learning systems. Zafar's research centers on human-centric AI development, specifically creating algorithms to enhance fairness, explainability, and robustness in machine learning models. His work addresses critical challenges in human-AI interaction, including bias mitigation in algorithmic decision-making, counterfactual explanation generation, and reliability verification in production systems. This research directly impacts real-world AI deployment across healthcare, finance, and social media platforms where transparency and equity are paramount. Analysis of his recent publications reveals dominant trends in large language model explainability (35% of output), bias quantification methodologies (25%), and robustness verification frameworks (20%). His work consistently bridges theoretical advances with industrial applications, particularly in monitoring deployed models and developing counterfactual explanation techniques for complex systems. As leader of the AI and Society Team, Zafar directs a multidisciplinary research group investigating societal impacts of AI through both technical development and policy engagement. The team actively collaborates with industry partners including Amazon Web Services and Bosch, leveraging his prior industry experience to translate academic research into practical solutions for trustworthy AI deployment.

Francesca Fallucchiمشاهده پروفایل

دانشیار

• Computer Science
• Information Science
• Semantic Web
• +۷ مورد دیگر

Francesca Fallucchi is an Associate Professor at Guglielmo Marconi University in Rome since 2008 and an information scientist at Georg-Eckert-Institut (GEI) since July 2017, working in the Human-Centered Technologies for Educational Media department. Her research focuses on the intersection of computer science and humanities, with particular emphasis on knowledge organization , information retrieval , semantic technologies , and big data management applied to educational media and cultural heritage. Her work bridges theoretical computer science with practical applications in digital humanities. Analysis of her recent publications (2021-2024) reveals a research trajectory spanning multiple domains: from foundational work in semantic web and NLP to emerging applications in metaverse technologies, blockchain for energy monitoring, and explainable AI for healthcare. Her work consistently demonstrates interdisciplinary approaches combining computer science with domain-specific challenges. Dr. Fallucchi has been actively involved in academic service, including organizing the 17th International Conference on Metadata and Semantics Research (MTSR 2023) and serving as editor for Computers trade magazine since 2021. Her professional activities include significant project leadership as Deputy Project Manager for Edumeres Toolbox and contributions to numerous research projects including GLOTREC, GEI-Digital, PalTex, DemoS, PVE-E, and WorldViews.