جست‌وجوی استاد و پژوهشگر

Xinyi Tuمشاهده پروفایل

پژوهشگر

• Industrial Metaverse
• Digital Twins
• Extended Reality
• +۳ مورد دیگر

Xinyi Tu is a Postdoctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering and the Department of Mechatronics. She holds a Doctoral degree from Aalto University (2024), a Master's from Technische Universität München (2021), and a Bachelor's from Tongji University (2018). Her expertise spans the Industrial Metaverse, Digital Twins, and Extended Reality, with a focus on their applications in Industry 5.0. Tu has also served as a Senior Data Scientist at PricewaterhouseCoopers Finland since 2020 and conducted research at the University of Cambridge's Cyber-Human Lab in 2024. Her research investigates ethical implications of emerging technologies and their integration into industrial systems. Notable contributions include frameworks for digital twin-enabled smart cranes and legal considerations for the Metaverse. Education: Doctor of Philosophy (PhD), Engineering and Technology, Aalto University (2024) Master of Science, Robotics, Cognition, Intelligence, Technische Universität München (2021) Bachelor of Engineering, Mechatronics, Tongji University (2018) Her work addresses challenges in industrial automation, data-centric systems, and ethical technology deployment. Recent publications explore regulatory frameworks for the Metaverse and XR applications in manufacturing.

Katherine Flaniganمشاهده پروفایل

استادیار

• Cyber-Physical Systems (CPS)
• Digital Twins
• Infrastructure Resilience
• +۶ مورد دیگر

Katherine Flanigan is an Assistant Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in the Department of Electrical and Computer Engineering. She holds a Ph.D. in Civil Engineering from the University of Michigan (2020) and earlier degrees from the same institution (M.S.E. in Electrical and Computer Engineering, 2018, and M.S.E. in Civil Engineering, 2016) and a B.S.E. in Civil and Environmental Engineering from Princeton University (2014). Her research focuses on transforming civil infrastructure and urban systems into intelligent cyber-physical systems (CPS) by integrating sensing, computing, and actuation technologies. Key areas include developing wireless sensor networks for smart cities, modeling infrastructure resilience, and leveraging digital twins for data-driven decision-making. She extends this work to cyber-physical-social systems (CPSS), emphasizing human-infrastructure interactions and equity in policy-making through community-driven data. Flanigan is particularly noted for projects combining technical and social dimensions, such as human-in-the-loop control solutions and privacy-preserving urban sensing technologies. Flanigan has received prestigious awards including the NSF Graduate Research Fellowship, the Towner Prize for Outstanding PhD Research, and the Wimmer Faculty Fellow award for teaching innovation. She advises PhD student Lindsay Graff, whose work addresses transportation equity and multimodal networks. Her research also involves collaborations with industry leaders via the Manufacturing Futures Institute, and she leads the Autonomous Infrastructure Systems Lab at CMU. Her teaching contributions include course redesigns focused on hands-on projects, such as constructing habitats for pollinators and Little Free Libraries to blend engineering with community impact. She emphasizes preparing students for real-world challenges through project courses that teach sensing, data analysis, and infrastructure system design under constraints like risk and resource limitations.

• Signal Processing
• Error Correction Coding
• Information Theory
• +۳ مورد دیگر

Professor Sarah Johnson is a distinguished academic in the School of Engineering at the University of Newcastle, specializing in Electrical and Computer Engineering. She holds a PhD in Electrical Engineering from the same institution and has been awarded prestigious fellowships including an ARC Future Fellowship. Her research applies engineering solutions to digital information processing and error correction coding, with significant applications in secure communications and biomedical technologies. Her research interests span: Signal processing for secure data transmission Error correction codes for reliable communication systems Biomedical applications of digital signal processing Quantum-enabled secure communications Internet of Things communication protocols Her publications primarily focus on information theory, wireless communication systems, and biomedical engineering. Recent work shows strong emphasis on index coding optimizations, quantum cryptography implementations, and biomedical signal processing techniques for neuroimaging applications. Significant awards include: NSW Premier's Prize for Excellence (2017) Pro Vice-Chancellor's Research Excellence Award (2007) Professor Johnson has secured multiple ARC Discovery grants and industry-sponsored projects, including collaborations with Quintessence Laboratories on quantum key distribution. She co-founded HunterWISE to promote women in STEM fields and has supervised numerous graduate students across engineering disciplines. She leads interdisciplinary collaborations with biomedical researchers on rehabilitation technologies and neuroimaging analysis, developing systems to monitor recovery processes and brain activity patterns.

Rhema Linderمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Artificial Intelligence
• AI Art
• +۳ مورد دیگر

Rhema Linder is a Teaching Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. His academic journey includes a BS in Computer Science and Mathematics from LeTourneau University (2009) and a PhD in Computer Science from Texas A&M University (2019). Prior to his current role, he served as a postdoctoral researcher at the PAIRS lab at UT Knoxville. His research focuses on Human-Computer Interaction (HCI), AI Art, Information Visualization, and Creative Cognition. He explores how AI and software systems can enhance creative productivity, particularly in collaborative online environments. His work integrates theories from creative cognition, social science, and HCI to design tools for engineering, design, and scholarship. Rhema has held internships at Adobe Research and Microsoft Research, contributing to projects in data science and human-computer interaction. His GitHub repositories include open-source projects like kivy-games, demonstrating his engagement with software development and educational tools. His research interests emphasize multidisciplinary approaches, blending art, technology, and social science to innovate in creative online spaces. He is actively involved in the PAIRS lab, focusing on advancing understanding of human-AI collaboration and information management systems.

Heiko Bornholdtمشاهده پروفایل

پژوهشگر

• Distributed Communication Middleware
• Overlay Networking
• P2P Networks
• +۳ مورد دیگر

Dr. Heiko Bornholdt is a Researcher in the Computer Networks group at the Department of Informatics, University of Hamburg. He is affiliated with the Faculty of Mathematics, Informatics, and Natural Sciences. His research focuses on distributed communication middleware, overlay networking, and edge computing. He holds a doctoral degree and has been with the university since 2016. Position: Research Associate / Postdoc Office: Room F-622, Vogt-Kölln-Str. 30 Contact: heiko.bornholdt@uni-hamburg.de | +49 40 42883-2332 Research Interests Dr. Bornholdt’s work emphasizes distributed systems , particularly in the context of smart cities and IoT. Key areas include: Overlay networks for edge computing Decentralized privacy-preserving systems Efficient data discovery in IoT Latency-aware network protocols Publications Overview His recent work spans 20+ publications, with significant contributions to: Edge computing middleware (e.g., software-defined overlay networks) Secure communication in untrusted environments Smart urban data spaces Awards & Grants No specific awards mentioned, but active in funded projects including the EU-GDPR compliant blockchain research. Labs & Teams Part of the Computer Networks Team led by Prof. Mathias Fischer, collaborating with researchers like Kevin Röbert and Jeetesh Gupta.

Peter J. Mirskiمشاهده پروفایل

استاد

• Management
• Information Technology
• Digital Business
• +۷ مورد دیگر

Peter J. Mirski is a Professor of Management and IT at the Management Center Innsbruck (MCI), a leading business school in Austria. He has been associated with MCI since 1998, serving as head of the Management, Communication & IT and Digital Business & Software Engineering Online programs, which he co-founded. As Chief Information Officer (CIO), he oversees the central IT services department. He also holds a visiting professorship at the University of Nebraska, Omaha, USA. His academic background includes a Doctorate (Dr. rer. soc. oec.) from the University of Innsbruck, specializing in business management and information systems. He co-founded the PDAgroup GmbH in 2008 and has led numerous EU-funded research projects, notably the OPENSKIMR initiative for skill matching in digital labor markets. Mirski's research focuses on eLearning innovations, Industry 4.0, digital transformation, and project management. His work bridges academia and industry, emphasizing practical applications. He has authored over 100 peer-reviewed articles, books, and chapters, spanning topics like big data solutions, mentoring frameworks, and tourism technology. Key Awards: SAP University Alliances Visionary Member, ESCO Maintenance Committee (EU Commission) Professional Roles: Member of Academic Board (SAP DACH), Chair of ERP Summerschool, Scientific Advisor (PDAgroup) Mirski’s teaching spans design thinking, entrepreneurship, and IT governance. He has advised over 50 students in bachelor, diploma, and master theses, focusing on topics like digital twin applications, GDPR compliance, and IT governance maturity. His leadership in EU projects has driven innovations in education, tourism, and workforce development.

Alexander Miserlis Hoyleمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Natural Language Processing
• Machine Learning
• +۶ مورد دیگر

Alexander Hoyle is a Researcher at the ETH Zürich AI Center, concurrently contributing to natural language processing/machine learning and social science groups. He holds a PhD in Computer Science from the University of Maryland (advised by Philip Resnik) and a Master's in Computational Statistics from University College London (advised by Sebastian Riedel and Jeff Mitchell). His research focuses on computational social science, emphasizing methods for latent construct identification (e.g., topic models, ideal point models) and evaluation frameworks grounded in validity. Key areas include bias/fairness in AI, political science applications, and mental health constructs like suicidality. He pioneered frameworks like PairScale (attitude measurement via pairwise comparisons) and TopicGPT (prompt-based topic modeling). Education: PhD in Computer Science, University of Maryland (2020-2023) MS in Computational Statistics & Machine Learning, University College London (2018) Bachelor's degree (pre-PhD details omitted) Research Interests: Combining NLP with social science needs, particularly in evaluation rigor and interpretability. Active in interdisciplinary work between NLP and computational social science (e.g., measuring attitude evolution on Reddit, improving topic model validity). Advocates for human-in-the-loop approaches to address LLM limitations in tasks like document clustering and sentiment analysis. Grants & Projects: Contributed to a landmark $2.2B DOJ settlement on NYC public housing via econometric modeling at The Brattle Group. Active in graduate labor advocacy (Maryland state legislature testimony) and mentorship (Científico Latino's mentorship program). Labs & Teams: Leads initiatives at the ETH Zürich AI Center, collaborating with groups like Microsoft Research (FATE) and AI2's AllenNLP. Involved in multi-university projects (e.g., University of Maryland's Computational Linguistics lab).

• Software Engineering
• Mobile Applications Testing
• Web Application Testing
• +۱۵ مورد دیگر

Maurizio Morisio is a Full Professor at the Department of Control and Computer Science (DAUIN), Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. He has held numerous leadership roles in national and international research projects and academic events. University: Polytechnic University of Turin Department: Department of Control and Computer Science (DAUIN) Research Affiliation: SmartData@PoliTO, SOFTENG Research Group Email: maurizio.morisio@polito.it His research interests include software engineering, mobile and web application testing, energy efficiency of software, machine learning, data science, and green software. He has led significant research in empirical software engineering, gamification of testing, and user-centric service platforms. The recent publications highlight a strong focus on GUI testing , gamification in education and testing , and software process improvement . These works reflect interdisciplinary integration of software engineering with human factors, education, and AI. Scientific Awards and Editorial Roles: Editor-in-Chief of IEEE SOFTWARE since 2008 Program Chair of major conferences including ICSR, ESEM, and GREENS workshops Advising and Grants: He has advised multiple PhD students, including Anna Arnaudo and Simone Leonardi. He has served as the Scientific Manager or Director on over 20 research projects funded by EU, national, regional, and commercial sources, including FP6, Clean Sky, FIRB, and industrial contracts in data science, AI, and software engineering. Research Groups and Labs: He is a key member of the SOFTENG - Software Engineering Group (DAUIN) and contributes to the SmartData@PoliTO center, focusing on data-intensive systems and AI applications in software engineering.

Tracy Harwoodمشاهده پروفایل

استاد

• Digital Culture
• Artificial Intelligence
• Virtual/Augmented/Mixed Reality (VR/AR/MR)
• +۳ مورد دیگر

Tracy Harwood is a Professor of Digital Culture at De Montfort University, affiliated with the Leicester Media School and the Institute of Creative Technologies (IOCT) . She directs the Usability Lab and founded the Art AI Festival, a world-leading event for creative AI applications. Her work bridges digital culture, artificial intelligence, and human-computer interaction. PhD in Negotiation Behavior Director, Usability Lab Founder, Art AI Festival Co-host, And Now For Something Completely Machinima podcast Her research focuses on AI, IoT, VR/AR/MR , and their societal impacts. Recent work includes PLEA: The Embodied Virtual Being (2024) and studies on zero-carbon design. She has secured grants from AHRC, EPSRC, and Arts Council England. Key scientific awards include: De Montfort University Teacher Fellow (2003) HEA National Teacher Fellow (2004) Fellowships: FHEA, FRSA, FNCUP She has advised students on topics like Adaptive Interfaces , AI in Theatre , and Digital Economy , with alumni including Kokil Uttam (2019) and Boomer Jason (2021). Her teaching covers Creative Technologies, Digital Culture, and Research Methods.

Rishabh Dabralمشاهده پروفایل

پژوهشگر

• 3D Computer Vision
• Computer Graphics
• Multi-Modal Interactions
• +۶ مورد دیگر

Rishabh Dabral is a Research Group Leader at the Max Planck Institute for Informatics since August 2024, leading the "3D Visual Intelligence" group. He is also affiliated with the Research Training Group on Neuro-Explicit Models of Language, Vision, and Action at Saarland University. Expertise: 3D computer vision, computer graphics, human-object interaction modeling, and motion synthesis. Leadership: Conducts cutting-edge research on 3D human performance capture and physical plausibility in motion. His research focuses on: 3D human pose estimation under gravity constraints Multi-modal gesture synthesis using neural architectures Quantum auto-encoding for 3D representations Wearable robotics informed by human behavior Temporal dynamics in human-object interaction Recent publications at top venues like SIGGRAPH , CVPR , and ICCV demonstrate his work on: Music-driven motion synthesis Egocentric motion capture systems Reactive two-person interaction models Diffusion-based gesture generation Object-aware motion prediction Wearable robotic limb design

Dawid Wolosiukمشاهده پروفایل

پژوهشگر

• Building Performance Simulation
• Building Information Modeling (BIM)
• Sustainable Architecture
• +۳ مورد دیگر

Dawid Wolosiuk is affiliated with TU Wien's Research Department of Building Physics and Building Ecology (E259-03). He holds a Dipl.-Ing. (Diploma in Engineering), Dr.techn. (Doctor of Technical Sciences), and BSc degrees. His research focuses on building performance simulation, data integration in construction, and architectural accessibility. He leads projects like ViDeA (Visual Design for All) and MOTIVE, exploring ontology-driven approaches for building design and energy-efficient systems. His work bridges computational tools, data management, and sustainable architecture. Education: BSc, Dipl.-Ing. in Architecture/Engineering, Dr.techn. from TU Wien Research emphasizes ontological frameworks for building data, visual accessibility evaluation, and renewable energy integration in buildings. He collaborates on open data initiatives for occupant-centric design and has developed computational tools for assessing architectural spaces' accessibility. Key projects include BAU_WEB (ontology-based building product data), MOTIVE (vacuum glazing integration), and AGelFa (aerogel-based insulation systems). His contributions span academic publications, conference presentations, and technical reports, advancing building physics and eco-friendly construction practices.

Penina Orensteinمشاهده پروفایل

دانشیار

• Supply Chain Networks
• Data Visualization
• Operations Research
• +۳ مورد دیگر

Penina Orenstein is an Associate Professor in the Department of Computing and Decision Sciences at Seton Hall University’s Stillman School of Business. She serves as Academic Director for the Master’s Program in Business Analytics and teaches courses in Quantitative Methods, Supply Chain Management, and Operations Management. Her research focuses on supply chain network topology and its financial implications, highlighted by awards like the 2016 SCMA Best Paper Award and a 2021 grant for pandemic-related supply chain studies. She leads the Academy for Applied Analytics and Innovation and has published in journals like *European Journal of Business and Management Research* and *Operations and Supply Chain Management*. Notable grants include a $10,000 project on pandemic supply chain impacts (2022–2024). Orenstein advises students and holds leadership roles in academic committees, including the University Assessment Steering Committee and the Academy of Artificial Intelligence. Her work bridges theoretical network analysis with practical business solutions, emphasizing data visualization and operational transparency.

• Human-Computer Interaction
• Technology and Gender Equality
• AI Ethics
• +۴ مورد دیگر

Elaine Huang is an Associate Professor of Human-Computer Interaction (HCI) and Head of the People and Computing Lab at the University of Zurich's Department of Informatics. She holds a PhD in Computer Science from Georgia Institute of Technology (2006). Her career includes prior roles as Assistant Professor at the University of Calgary and Senior Staff Researcher at Motorola Labs. Her research focuses on the interplay between technology and human behavior, particularly in areas of gender equality in tech, AI ethics, sustainable HCI design, and accessible technologies. She critiques systemic biases in AI training data and advocates for inclusive design processes integrating Hofstede's cultural dimensions. Her work also explores trust dynamics in sharing economies and predictive health technologies. Huang emphasizes empirical studies over intuition, stressing the need for data-driven insights into disruptive technologies like ChatGPT. She leads initiatives to improve STEM PDF accessibility and designs tools for chronic condition management through incident cards. Her lab develops frameworks addressing obsolescence in smart homes and sustainability in digital interfaces. Awards and recognitions focus on her contributions to HCI ethics and gender studies. She advises students to proactively shape their academic trajectories and leverage institutional resources strategically.

Georgios Bardisمشاهده پروفایل

استادیار

• Intelligent Computer Graphics
• Declarative Modeling
• Multicriteria Decision Analysis
• +۴ مورد دیگر

Georgios Bardis is a permanent Assistant Professor at the Department of Informatics and Computer Engineering , School of Engineering , University of West Attica . He holds a PhD in Informatics from University of Limoges (2006), an MSc in Software Systems from University of California, Santa Barbara (1994), and a Diploma in Computer Engineering & Informatics from University of Patras (1992). His career spans multiple academic roles, including Lecturer at University of West Attica (2018-2021) and Professor of Applications at TEI of Athens (2010-2018). Research Interests : Focus on Intelligent Computer Graphics , Declarative Modeling , and Multicriteria Decision Analysis . His work integrates AI into 3D scene synthesis, urban planning, and semantic decision systems. Awards : Master Microsoft Office Specialist (MOS), 2003 NAT Scholarships for Academic Excellence (1989-1992) 1984 Monetary Prize from Hellenic Mathematical Society Leadership : Member of AKIIS Research Lab (University of West Attica), Editorial Board of International Journal of Systems Biology and Biomedical Technologies , and Reviewer for International Journal of Digital Earth . Publications : 5 peer-reviewed journals, 2 books, 8 book chapters, and 22 conference papers. Key areas include WebGL avatars, urban data analysis, and 3D modeling with AI.

Marko Tkalčičمشاهده پروفایل

استاد

• Recommender Systems
• Computational Psychology
• User Modeling
• +۷ مورد دیگر

Marko Tkalčič is a Full Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He is affiliated with the Department of Information Sciences and Technologies and leads research in psychologically-informed recommender systems through the HICUP lab. His academic journey includes prior roles as Associate Professor and Assistant Professor at the Free University of Bozen-Bolzano, and postdoctoral work at Johannes Kepler University and the University of Ljubljana. Research interests include computational psychology, user modeling, personality and emotion modeling, affective computing, and bias mitigation in AI. His work integrates machine learning, data mining, and user studies to enhance personalization systems by incorporating cognitive and emotional models. He focuses on music and film domains, with applications in social media, automotive interfaces, and multimedia. The recent publications demonstrate a strong trend toward human-centric AI , exploring eudaimonic and hedonic user experiences, cognitive load in driver assistance, music relistening behavior, privacy in group recommendations, and emotion-based video and music prediction. His research increasingly blends cognitive science theories (e.g., ACT-R) with practical recommender system design. University of Primorska Golden Plaque Award (2024) Stanford List of Top Scientists Cited Worldwide Best Reviewer Award at ISMIR 2020 Italian National Habilitation for Full Professor (2020) Italian National Habilitation for Associate Professor (2017) He actively supervises PhD students, including Elham Motamedi, and has secured teaching and research roles within his team. He is a member of the editorial board for UMUAI and Frontiers in Psychology, and has co-edited books and special issues on group recommender systems and human-centered AI. He leads the HICUP lab, fostering interdisciplinary research at the intersection of psychology and computer science.