جست‌وجوی استاد و پژوهشگر

Zachary Doddsمشاهده پروفایل

استاد

• Computer Science Education
• Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Zachary Dodds is a Professor at the Computer Science Department of Harvey Mudd College. He is actively involved in course development, ACM programming contest mentorship, and interdisciplinary research at the intersection of computer science, biology, and robotics. Email: dodds@cs.hmc.edu Research Interests : Dodds focuses on computer science education innovation, accessible robotics platforms, and interdisciplinary applications of computing. His work bridges AI, robotics, and computational biology, emphasizing hands-on learning and curricular reform. Articles : His recent publications explore computing literacy, AI in education, and robotics for non-majors. Key themes include pedagogy, accessible technology, and cross-disciplinary engagement. Courses : He teaches foundational courses like CS 5: Introduction to Computer Science , SCI50: CS for Discovery , and advanced topics in CS 183/184: Computer Science Clinic . Programming Contests : Dodds organizes Harvey Mudd's ACM programming teams, which have consistently ranked in the top 10 regionally since 2010. He emphasizes collaborative problem-solving and algorithmic thinking. Labs & Collaborations : He contributes to robotics education through initiatives like the Harvey Mudd Robotics Core Lab and partnerships with institutions such as Chatham College and Carnegie Mellon University.

• Virtual Reality (VR)
• Computer Graphics
• Human-Computer Interaction
• +۳ مورد دیگر

Alejandro Beacco Porres is a Researcher at the Universitat Politècnica de Catalunya (UPC) in the Department of Computer Science, affiliated with the Barcelona School of Informatics (FIB). He is a core member of the ViRVIG research group focusing on Virtual Reality, Real-Time Graphics, and Crowd Simulation. His work bridges computer graphics, human-computer interaction, and clinical applications of VR. Research interests include real-time crowd rendering techniques, embodied VR experiences, and applications in mental health. Notable contributions include QuickVR toolkit development, studies on virtual body ownership effects, and VR-based therapy for anxiety and psychosis. He has collaborated extensively with Prof. Mel Slater and international teams on projects funded by Horizon Europe and Spanish National Research Programs. Publications span high-impact journals like Scientific Reports, IEEE Transactions, and The Lancet Psychiatry. His work explores both technical advancements (e.g., avatar reconstruction from images) and socio-ethical implications of VR. Active in both academia and industry, he has led projects addressing cultural heritage visualization and medical training simulations. Education includes a PhD in Computer Science from UPC (2014), with dissertation on real-time crowd simulation. He maintains strong ties with the European Association for Computer Graphics (Eurographics) through conference organizing and peer review activities.

• Computer Science
• Information Technology
• Marine Conservation Technology
• +۳ مورد دیگر

Jason Holdsworth is a Lecturer at James Cook University (JCU), specializing in Digital Technology and Computer Science. He holds a PhD in Computer Science from JCU, with earlier degrees including a BSc (Hons) and a double major BSc in Computer Science from the same institution. His research focuses on applying computer technology to real-world challenges, such as marine conservation through mobile apps and image classification systems for WWF, and improving abalone farming via image segmentation techniques. He is also engaged in educational technology, particularly enhancing adult learner engagement through digital methods. Holdsworth has been recognized with awards including the Advance Queensland Community Digital Champion (2017) and CSIRO STEM Professional (2017). He actively contributes to JCU’s Indigenous Australian Datathon Steering Committee and has advised students on topics like autonomous CNN architecture selection. His work spans healthcare technology (e.g., VR in hemodialysis), embedded systems (C++20 coroutines on microcontrollers), and collaborative learning tools (e.g., academagogy frameworks). Over 41 publications highlight his interdisciplinary research, including studies on asynchronous IoT programming, mobile application performance models, and collaborative emergency management systems. His work often bridges theory and practice, emphasizing sustainable tech solutions for education, healthcare, and environmental conservation.

Robert Stoneمشاهده پروفایل

استاد

• Engineering Design
• Product Architecture
• Functional Representation
• +۵ مورد دیگر

Robert Stone is a Professor in the Department of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University's College of Engineering. He holds a PhD in Mechanical Engineering from The University of Texas at Austin (1997), an MS from the University of Missouri at Rolla (1995), and a BS in Aerospace Engineering from the same institution (1992). His research focuses on design theories and methodologies, including product architectures, functional representations, automated conceptual design, and innovation strategies. Notable areas include early design reliability prediction, human-system interaction error identification, and the application of machine learning in functional modeling. He is affiliated with the Design Engineering Lab and has contributed to tools like AutoFunc and the Part Count Tool (PaCT). Stone has been recognized with the ASME Fellow Award. His work spans interdisciplinary collaborations, such as biologically inspired design frameworks and repositories of innovative products. He explores topics like customer requirement formulation, failure mode analysis, and design education advancements. His publications highlight trends in automation of functional modeling, data-driven design methods, and safety-focused methodologies. Ongoing projects include integrating human factors into early design stages and advancing computational tools for conceptual design.

Carlos J. Costaمشاهده پروفایل

دانشیار

• Machine Learning
• Gamification
• Design Science Research
• +۷ مورد دیگر

Carlos J. Costa is an Associate Professor with Habilitation at the Lisbon School of Economics and Management (ISEG) , part of the University of Lisbon . He serves as Associate Chair of the Department of Management and coordinates the doctoral program at ISEG. His research focuses on Machine Learning Applications to Management and Finance , Gamification , Design Science Research , and Information Systems Theory . Education: Aggregation in Business Administration and Management (2023), University of Lisbon PhD in Information Sciences and Technologies in Information Systems and Databases (2002), ISCTE Masters in Management Sciences (1995), ISCTE Bachelor of Business Administration (1990), Portuguese Catholic University His recent research and publications highlight the intersection of Blockchain Technology , Digital Transformation , and Sustainability . He has extensively studied Gamification in e-Banking , ERP Systems in Education , and Machine Learning Applications for real estate and cryptocurrency markets. He has supervised over 50 master's theses at ISEG, covering topics like Generative AI in Business , LSTM-Based Option Pricing , and Smart City Applications of Blockchain . Leadership Roles: Chair of EuroSIGDOC/ACM since 2022 Former Director of Addetti-IUL Research Center Coordinator of Information Systems Research Group at Istar IUL Former Board Member of Audax-IUL Center of Innovation and Entrepreneurship Professional Affiliations: IEEE Member Portuguese Association of Economists Certified Accountants Association ACM Member

• Japanese Language Education
• E-Learning Systems
• Technology-Enhanced Language Learning
• +۳ مورد دیگر

Alessandro Mantelli serves as an Adjunct Professor at the Department of Asian and North African Studies, Ca' Foscari University of Venice. He specializes in Japanese language education with a focus on integrating technology into pedagogical practices. His research emphasizes sustainable e-learning systems, virtual reality applications, and digital tools for language acquisition. Mantelli teaches Japanese language courses at both undergraduate and postgraduate levels, including 'Lingua Giapponese' modules and 'Informatica (Giappone)' for specialized programs. Key contributions include the development of the JALEA e-learning platform, the Kanji Game application, and VR-based language learning tools. His work on the Bunparser system and the ITADICT dictionary project highlights expertise in computational linguistics and educational software. Recent publications address translation pedagogy, sustainable curriculum design, and advanced kanji learning strategies. Teaching responsibilities span multiple academic years across language proficiency courses, with a focus on structuring authentic learning experiences through technology. His research bridges language education theory with practical software development, aiming to enhance accessibility and engagement in Japanese language studies.

Leonardo Giannantoniمشاهده پروفایل

پژوهشگر

• Computer architectures
• Computer aided design
• Computer graphics
• +۱۰ مورد دیگر

Leonardo Giannantoni is a PhD Student in Control and Computer Engineering at the Polytechnic University of Turin (2021-2024) and a current Research Engineer at the same institution. His work focuses on bio-inspired and AI-driven algorithms for modeling, simulating, and optimizing complex systems, with applications in synthetic biology , structural biology , and healthcare technology . Education PhD in Control and Computer Engineering (2024, Polytechnic University of Turin) MSc in Computer Engineering (2016, Polytechnic University of Turin) BSc in Computer Engineering (2014, Polytechnic University of Turin) Giannantoni's research spans multiple domains, including reinforcement learning for genetic networks , co-simulation in biofabrication , and virtual reality rehabilitation systems for Parkinson's disease. His work integrates machine learning with biological modeling , leveraging parallel computing and software engineering principles. Recent publications highlight his expertise in AI-driven structural biology , synthetic oscillatory networks , and privacy tools like tracker blockers. His Biology System Description Language (BiSDL) provides a framework for multicellular synthetic biological systems design. Scientific Contributions Member of the Focus Group of Researchers (2023-) Giannantoni has served as a Teaching Assistant for courses on Systems Programming and Algorithms , and contributed to open-source projects like nwn-petrisim (Petri Nets simulator) and microgp4 (evolutionary computing toolkit). His work bridges academic research and practical software development for complex systems.

Gabriele Bavotaمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Data Mining
• +۷ مورد دیگر

Gabriele Bavota is a Full Professor in the Faculty of Informatics at the Università della Svizzera italiana (USI). He holds a Laurea (cum laude) and PhD in Computer Science from the University of Salerno (2013). Before joining USI in 2016, he was an Assistant Professor at the Free University of Bolzano-Bozen (2014–2016) and a research fellow at the University of Sannio (2013–2014). Research Focus: Software maintenance, mining software repositories, empirical software engineering, and AI-driven code analysis. Awarded the 2018 ACM Sigsoft Early Career Researcher Award and leads the ERC Starting Grant project DEVINTA, exploring deep learning applications in software engineering. Authored over 180 publications in top venues like ICSE, FSE, and TOSEM, with multiple best/distinguished paper awards. His work bridges empirical studies, AI tools, and developer-centric solutions, addressing challenges in code quality, refactoring, and automated testing. He has served as program chair for ICPC 2016, SANER 2017, and ICSME 2023, and holds editorial roles in TSE, EMSE, and JSS. Labs/Teams: Principal Investigator of the DEVINTA project and part of the Software Institute at USI, fostering collaborations in AI, software engineering, and empirical research.

• Robotics Education
• Software Engineering
• Human-Computer Interaction
• +۳ مورد دیگر

Talha Enes Ayranci is a GUSS Software Engineer and PhD Student (Tutor) at the School of Computing Science , University of Glasgow. His research focuses on robotics education and human-computer interaction, with a particular interest in affordable educational platforms and security systems. His work emphasizes making technology accessible through cost-effective solutions like the Curio platform, while also advancing secure authentication methods such as self-calibrating PIN systems. He contributes to both software engineering and educational technology domains. No scientific awards or grants are explicitly mentioned in the provided information. As a tutor, he is involved in academic support within the School of Computing Science.

Anita Sarmaمشاهده پروفایل

استاد

• Software Engineering
• Human-Computer Interaction
• Artificial Intelligence
• +۶ مورد دیگر

Anita Sarma is a Professor at Oregon State University's School of Electrical Engineering and Computer Science. She co-directs the GenderMag project and leads research integrating AI, cognitive science, and human-computer interaction to improve software development efficiency and inclusivity. Her work spans open-source software communities, gender-inclusive tools, and developer productivity. Her research leverages theories like Information Foraging Theory and Transactive Memory Systems to design AI-infused tools that reduce biases and improve collaboration. She focuses on end-user programmers (e.g., data scientists) and professional developers. PhD in Computer Science, University of California, Irvine Postdoctoral Fellow, Carnegie Mellon University Recent work analyzes generative AI's impact on open-source communities, inclusivity bugs in software, and diversity metrics. Her projects include gamified environments for student contributions and tools for socioeconomic-aware HCI. Scientific Awards: OSU Breaking Barriers Research Award (2021) NSF CAREER Award (2013) She has secured grants for gender-inclusive open-source tools and studies onboarding practices. Her research groups focus on software engineering and human-computer interaction, with a commitment to removing systemic barriers in technology.

Christophe Hauserمشاهده پروفایل

استادیار

• Software Security
• Program Analysis
• Formal Methods
• +۸ مورد دیگر

Christophe Hauser is the Speers Family Assistant Professor of Computer Science at Dartmouth College and a member of the Meeting New Challenges of Cybersecurity Cluster. His research focuses on software security, particularly in developing models to analyze cyber attacks and defenses across software and hardware boundaries. He previously served as a Research Lead and founded the Binary Analysis and Systems Security (BASS) group at the University of Southern California’s Information Sciences Institute (USC-ISI) and was a postdoctoral researcher at the University of California, Santa Barbara’s Seclab. Hauser holds a joint PhD from CentraleSupélec in France and Queensland University of Technology in Australia, combining expertise in computer science and cybersecurity. His research interests include software security, program analysis, formal methods, machine learning applications in vulnerability discovery, and privacy-preserving systems. He specializes in binary code and firmware analysis, reverse engineering, and intrusion detection systems. Hauser’s recent work emphasizes automated fuzzing techniques, static and dynamic analysis of binary executables, and privacy-preserving solutions. His projects often bridge theoretical foundations with practical applications, such as improving vulnerability detection through neuro-symbolic methods and enhancing system security against DoS attacks. He has led initiatives such as the BASS group and contributed to the angr binary analysis platform. His work has resulted in impactful datasets like BinPool and tools like BinHunter for vulnerability localization.

Xavier de Carné de Carnavaletمشاهده پروفایل

استادیار

• Network Security
• Privacy
• Web Security
• +۴ مورد دیگر

Xavier de Carné de Carnavalet is an Assistant Professor at Radboud University's Digital Security group within the Faculty of Science. His research focuses on network security, privacy, web security, and applications of machine learning in cybersecurity. He holds a PhD from Concordia University (2019) and completed postdoctoral work at Carleton University's CCSL lab. Research Interests: Network Security & Privacy Passwords & Authentication Systems Embedded/Firmware Security Machine Learning for Cybersecurity Home Router Vulnerabilities TLS Interception Mechanisms Publications highlight trends in analyzing security configurations (home routers), detecting vulnerabilities (command injection in firmware), and evaluating TLS interception practices. His work often bridges technical security analysis with human factors influencing secure practices. He has contributed to major conferences like CHI, NDSS, and USENIX Security. Notable projects include analyzing password strength meters and verifying TrueCrypt's build integrity. Current research includes database breach analysis and cryptographic software hardening. Labs/Teams: Active contributor to the Digital Security group at Radboud University, collaborating with institutions like HK PolyU and Concordia's Madiba Security Research Group.

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

Jari Kangas is a University Lecturer at the Department of Electrical Engineering, Faculty of Information Technology and Communication Sciences at Tampere University. His work focuses on innovative applications of virtual reality (VR), haptic feedback systems, and multimodal interaction techniques in medical and surgical contexts. He has contributed to advancements in medical VR tools for surgical planning, dental implant manipulation, and oncology treatment visualization. His research also explores AI-driven solutions, such as the open-source TauchiGPT tool for academic research. Key research interests include virtual reality interface design, gaze and gesture-based interaction, and the integration of artificial intelligence with medical technologies. Kangas has published extensively on topics like VR surgical simulation, haptic feedback systems, and user evaluation of immersive medical tools. His work bridges computer science, engineering, and healthcare, aiming to improve precision, accessibility, and user experience in clinical and research environments. Notable contributions include studies on voice command systems for VR procedures, comparison of VR input devices (e.g., stylus vs. hand tracking), and the development of collaborative virtual reality platforms for surgical planning. His research emphasizes practical applications, such as optimizing task accuracy and naturalness in direct object manipulation within VR. Kangas has also explored multimodal interaction techniques, including vibrotactile feedback for gaze-based interfaces and bio-signal profiling for user alerts. While no specific grants or awards are explicitly mentioned, his prolific publication record and focus on applied research suggest active involvement in funded projects. His work has implications for future advancements in the medical metaverse, telemedicine, and AI-driven medical tools.

Daniel W. Barowyمشاهده پروفایل

دانشیار

• Programming Languages
• End-User Programming
• Spreadsheet Debugging
• +۵ مورد دیگر

Daniel W. Barowy is an Associate Professor in the Department of Computer Science at Williams College . His research focuses on programming languages , particularly end-user programming , crowdsourcing , and spreadsheet debugging . He integrates program analysis with statistical techniques to improve software usability and robustness. Current affiliations: Williams College (2017-present) Education: University of Massachusetts Amherst (PhD, 2017) His research explores language abstractions for human-computer integration , with notable projects like ExceLint (spreadsheet error detection), FlashRelate (spreadsheet data extraction), and Riker (incremental build systems). He emphasizes artifact verification , securing PLDI 2015 Distinguished Artifact Award and USENIX ATC 2022 Best Paper . Recent publications demonstrate trends in spreadsheet reliability , crowdsourcing frameworks , and scalable educational tools . He has received "Artifact Verified" badges for multiple projects and actively contributes to software tool development , including AutoMan , ExceLint , and CheckCell . USENIX ATC 2022 Best Paper PLDI 2015 Distinguished Artifact Award Multiple "Artifact Verified" badges As an educator, he teaches CSCI 334: Principles of Programming Languages and CSCI 331: Computer Security . His work bridges theoretical PL research with practical applications in spreadsheet programming and crowdsourcing platforms .

• Human-Robot Interaction
• Explainable AI
• Medical Assistance Systems
• +۴ مورد دیگر

Dr. Birte Richter is a Research Associate in the Medical Assistance Systems Group at Bielefeld University's OWL Medical Faculty, with additional roles as Associate Member in TRR 318 subprojects (A03 and A05) and Board Member at the Center for Cognitive Interaction Technology (CITEC). She contributes to university governance as Deputy Member of the Research Commission. Her research integrates Human-Robot Interaction , Explainable AI , and Medical Assistance Systems , with particular focus on adaptive scaffolding in explanatory dialogues, attention modeling in therapeutic contexts, and emotion-aware explanation frameworks. She develops intelligent systems for ADHD therapy, smart home interactions, and healthcare knowledge transfer. Richter's publications demonstrate strong interdisciplinary trends across robotics, cognitive science, and digital health. Dominant themes include: Explainable AI frameworks for decision support systems Virtual agents for cognitive and attention training Neuro-cognitive measurements in HRI Teletherapy adoption during health crises Smart home interaction paradigms She leads significant research initiatives including: DFG-funded TRR 318 Subproject A05 on attention parameterization in explanatory dialogues TRR 318 Subproject A03 on emotionally-oriented AI explanations Cross-disciplinary Focus Area: Interactive integrative AI for cognitive impairments