جست‌وجوی استاد و پژوهشگر

Katja Rogersمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Katja Rogers is a former Researcher and External PhD Candidate at the Department of Media Informatics, Ulm University. She earned her M.Sc. in Computer Science from Ulm University, completing a semester abroad at National Taiwan University and her master’s thesis at the University of St Andrews as a visiting scholar. Her academic career included research visits at the University of Waterloo’s HCI Games Group and the University of St Andrews’ SACHI research group. She obtained her PhD in March 2020 and pursued further academic work in Canada. Education: M.Sc. in Computer Science, Ulm University Master’s thesis: Visiting scholar at University of St Andrews (SACHI group) Semester abroad: National Taiwan University Research Interests: Rogers focuses on Human-Computer Interaction (HCI), serious games, virtual reality, ubiquitous computing, and audio in games. Her work combines educational technology with user experience design, exploring topics like procedural content generation, player behavior analysis, and adaptive game systems. Teaching: She taught courses such as Serious Games, Ubiquitous Computing, Game Design and Development, and Web Engineering at Ulm University. She also led seminars on Research Trends in Media Informatics. Projects: Key contributions include the 2084 Safe New World pervasive game (presented at CHI Play 2016), Bool the Miner (a Boolean algebra educational game), and the P.I.A.N.O. interactive piano learning system. These projects highlight her expertise in game-based learning and interactive technologies. Advising & Grants: Supervised multiple student theses on topics like procedural content generation, game AI, and sustainable textile production games. Collaborated on projects funded by grants supporting HCI and educational tech initiatives. Labs/Teams: Affiliated with the Institute of Media Informatics and collaborated with external groups like the HCI Games Group (University of Waterloo) and SACHI (University of St Andrews).

Razvan Bunescuمشاهده پروفایل

دانشیار

• Machine Learning
• Natural Language Processing
• Music Information Retrieval
• +۳ مورد دیگر

Razvan Bunescu is an Associate Professor in the Department of Computer Science at the University of North Carolina at Charlotte (UNCC), affiliated with the College of Computing and Informatics. His research focuses on machine learning, natural language processing, music information retrieval, and computational creativity. He holds a Ph.D. from the University of Texas at Austin and M.S./B.S. degrees from the University Politehnica of Bucharest. His work is funded by NIH (1R21EB022356) and NSF (1117489) grants, emphasizing diabetes management through wearable sensor data and blood glucose prediction models. Key research initiatives include the SmartHealth Lab , developing machine learning tools for healthcare, such as the OhioT1DM dataset for blood glucose prediction. He has co-chaired conferences like the Blood Glucose Level Prediction Challenge (BGLP) and served as an associate editor for IEEE Transactions on Computers . Notable awards include a Best Paper Award at the 2024 Figurative Language Processing Workshop. Education: Ph.D. Computer Science, University of Texas at Austin (2007) M.S. Computer Science, University Politehnica of Bucharest (1999) B.S. Computer Science, University Politehnica of Bucharest (1998) Professional Activities: Associate Editor, IEEE Transactions on Computers (2024–25) Program Co-Chair, International Summer School on Data Science (2018–24) Area Chair, ACL 2020 NLP Applications Track Awards: Best Paper Award at FigLang 2024. Grants: NIH R21EB022356: Adaptive Prediction of Blood Glucose Levels (2016–2020) NSF 1117489: Machine Learning for Blood Glucose Prediction (2011–2016) Advising: Supervised 20+ students, including PhD candidates Erfan Al-Hossami and Mika Chen. His lab’s work on blood glucose prediction has led to open-source tools like LSTM and ARIMA models, and datasets such as OhioT1DM. Current research explores creative AI, recommender systems, and hardware optimization.

• Virtual Reality
• Computer Animation
• Sketch-based Interaction
• +۲ مورد دیگر

Simone Barbieri is a Research Engineer (EngD) at Bournemouth University's Centre for Digital Entertainment, funded by EPSRC. He collaborates with Thud Media in Cardiff under the supervision of Dr. Xiaosong Yang and Dr. Zhidong Xiao. His academic background includes a BSc (2012) and MSc (2014) in Computer Science from the University of Cagliari, Italy, where his Master's Thesis developed a curve-skeleton editing tool and inverse-skeletonization algorithm. His research integrates computer graphics with virtual reality, focusing on sketch-based interaction for character posing and deformation. Key interests include VR content creation, animation pipelines, and human-computer interaction. Publications emphasize VR adaptation, 3D modeling, and geometric algorithms, with consistent applications in animation and gaming. Grants include the EPSRC-funded project '3D VR content creation exploiting 2D character animation' (ongoing since October 2015).

• Computational Social Science
• Social Media Analysis
• Machine Learning for Social Good
• +۶ مورد دیگر

Kenny Joseph is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He serves as Associate Director of the AI and Society Institute for Artificial Intelligence and Data Science. PhD in Societal Computing from Carnegie Mellon University (2016) MS in Societal Computing from Carnegie Mellon University (2012) BS in Computer Science from Carnegie Mellon University (2010) His research focuses on computational social science , examining stereotypes and prejudice dynamics , social inequality through computational tools , and gender disparities in organizations . He develops machine learning frameworks for neighborhood change prediction and predictive models for child welfare systems , with work featured in the New York Times . Scientific contributions include: UB Exceptional Scholar—Young Investigator Award (2021) He advises students Yuhao Du (Meta data scientist), Jason Yan (Michigan Ph.D. student), Arjunil Pathak (Amazon researcher), and Navid Madani (former Ph.D. student). His Computation and Equity Lab (cubelab) produces interdisciplinary work spanning social media analysis, urban equity, and computational methods for marginalized communities.

• Natural Language Processing
• Information Extraction
• Multimedia Information Retrieval
• +۲ مورد دیگر

Dr. Srihari Rohini is a Professor in the Department of Computer Science and Engineering with a joint appointment in Linguistics at the University at Buffalo's School of Engineering and Applied Sciences. She received her Ph.D. in Computer Science from the University at Buffalo in 1992. Her research focuses on information extraction, natural language processing, and multimedia information retrieval. Key areas include: Multilingual text mining and analysis Cross-document information retrieval Sentiment and opinion mining Dialogue systems and conversational AI Recent publications demonstrate advancements in LLM-based dialogue systems, misinformation countermeasures, and accessible AI technologies. Her group develops frameworks for emotional support agents, multilingual argument analysis, and hallucination detection in large language models. As Director of the Center of Excellence for Document Analysis and Recognition (CEDAR), she leads initiatives in document understanding and knowledge extraction. Her work has applications in legal domain analysis, social media monitoring, and assistive communication technologies.

Sooyeon Leeمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Assistive Technology
• Accessibility Design
• +۵ مورد دیگر

Dr. Sooyeon Lee is an Assistant Professor in the Department of Informatics at the New Jersey Institute of Technology (NJIT). Her research focuses on accessible technologies for people with disabilities, particularly those with visual impairments and deaf or hard-of-hearing (DHH) needs. She designs innovative solutions in areas such as AI-driven navigation systems, multimodal interaction frameworks, and inclusive virtual reality experiences. Her work bridges human-centered design principles with cutting-edge AI and sensor technologies. Dr. Lee holds a Ph.D. and B.S. in Information Sciences and Technology from Pennsylvania State University, with a specialization in Human-Computer Interaction. Her academic contributions span over 30 peer-reviewed publications, including seminal work on NaviGPT, an AI-driven navigation system for visually impaired users, and BubbleCam, a privacy-focused remote assistance tool. Central to her research are collaborations with user communities, including participatory design studies with blind users, DHH viewers, and ASL learners. She explores topics such as non-speech audio captioning trends, spatial audio descriptions for VR performances, and text simplification for DHH adults. Her datasets, such as the ASL-Homework-RGBD dataset, have become benchmark resources for sign language technology research. Dr. Lee’s work addresses emerging challenges in human-AI collaboration for accessibility, ethical AI practices in assistive tech, and the intersection of privacy and remote assistance systems. She actively contributes to advancing accessibility standards in multimedia content, educational tools, and smart environments.

• Sociology
• Digitalization of Work
• Knowledge Work
• +۳ مورد دیگر

Kai Dröge is a Lecturer at the Lucerne School of Business (HSLU), specializing in qualitative research methods and digital transformation of the workplace. He holds a PhD in Sociology from Justus-Liebig-Universität Gießen (2009) and has taught at institutions like the University of Wuppertal and the Institute for Social Research in Frankfurt. His research focuses on sociology of work, digitalization of knowledge work, and online dating, with notable contributions to understanding societal impacts of digital platforms. Dröge is also actively involved in research blogs and YouTube content creation, such as his channel 'Qualitativ Forschen.' Education: M.A. in Sociology, Philosophy, and Computer Science from Universität Siegen (1999) PhD in Sociology from Justus-Liebig-Universität Gießen (2009) Research Interests: Dröge’s work bridges labor sociology and media sociology, exploring themes like digital disruption in knowledge work, online dating dynamics, and the societal role of performance principles. His recent projects include analyzing career transitions in digitalized sectors and the ethical implications of web 2.0 platforms. Key Contributions: Co-authored Digitale Disruption und biografische Verarbeitung (2023) Edited Digitalisierung der Wissensarbeit (2019) SNF-funded research on online dating (2008–2012) Labs/Activities: Maintains research blog RomanticEntrepreneur.net and YouTube channel Qualitativ Forschen , focusing on qualitative research methodologies and digital sociology.

Constant Dullaartمشاهده پروفایل

استاد

• Digital Art
• Technology and Society
• Internet Critique
• +۴ مورد دیگر

Constant Dullaart is a Professor for Networked Materiality at the Akademie der Bildenden Künste Nürnberg, Germany. His artistic practice critically examines the intersection of technology, society, and cultural values, with a focus on internet culture, social media dynamics, and platform capitalism. He is known for projects like common.garden , an artisanal social media platform, and DullTech™ , a satirical hardware startup. His work bridges digital and physical realms, often using code, neural networks, and participatory methods to critique corporate technological systems. Education: Rijksakademie van Beeldende Kunsten residency (2007), Dutch Ministry of Education, Culture and Science support. Awards: Prix Net-Art (2015). Key Roles: Taught at institutions including Werkplaats Typografie (Arnhem), CUNY DIAP, and the Jan van Eyck Academy. Current professorship at Nuremberg since 2023. Research interests include networked materiality, digital ethics, and the sociocultural implications of tools. Notable exhibitions include I Was Raised On The Internet (MCA Chicago, 2018), This Unjust Mirror (Fries Museum, 2020), and Sunsetting Inconsistencies (Upstream Gallery, 2023). His curatorial work and lectures address internet politics and art’s role in critiquing technological systems. Publications/commissions include attention.rip (UP Projects, 2017) and Chorus (Rhizome, 2020). Residencies include ISCP (NYC, 2017) and Open Space (The Hague, 2022). He actively publishes via his website constantdullaart.com and teaches in a bilingual (German/English) environment.

Florian Krautkrämerمشاهده پروفایل

استاد

• Author Film
• Experimental Film
• Documentary Film
• +۱۲ مورد دیگر

Florian Krautkrämer is Professor at the Lucerne University of Applied Sciences and Arts – School of Design, Film and Art since 2018, where he serves as Head of the +Colabor-Module. His academic journey includes a visiting professorship in Film Studies at Johannes Gutenberg-Universität Mainz (2017/2018) and prior work as a research assistant in Media Studies at HBK Braunschweig (2005-2016). He completed his PhD in 2011 with the dissertation 'Schrift im Film' (Writing in Film). His research spans multiple dimensions of contemporary film practice and theory. Krautkrämer focuses on author film, experimental film, and documentary film, with special attention to mobile media and portable technologies. His work examines discourses, theories and aesthetics of digital film, media industries & production cultures, and post-cinematographic film reception and distribution. He has developed significant expertise in film history, theory and aesthetics, film funding mechanisms, and media paratexts. Recently, his research has expanded into interactive documentary forms, camera studies, and sustainable film production practices. Krautkrämer's recent publications reveal a trajectory moving from traditional film studies toward emerging media forms and production practices. His work shows increasing focus on participatory filmmaking, camera technology's impact on aesthetics, and the transformation of documentary practices in the digital age. The emergence of interactive documentary as a research focus since 2021 represents a significant shift in his scholarly attention, alongside continued engagement with historical film forms and zombie film studies as cultural critique. As principal investigator, Krautkrämer leads multiple significant research projects including an SNSF-funded project on Interactive Documentary Film (since September 2021) and a newer SNSF-funded project researching analog film equipment from private Swiss collections. He co-directs the DFG network 'Camera Studies' with Prof. Winfried Gerling, launching in April 2024. Additionally, since 2023 he has been offering Switzerland's first certified Green Consultant training for Film and Media Productions in Lucerne.

Joseph Timoneyمشاهده پروفایل

استاد

• Audio Signal Processing
• Musical Sound Synthesis
• Digital Audio Watermarking
• +۳ مورد دیگر

Joseph Timoney is a professor at the Department of Computer Science , Maynooth International Engineering College , Maynooth University. He teaches undergraduate programs in Computer Science and Music Technology, with expertise in audio signal processing, musical sound synthesis, and digital modeling of analog subtractive synthesis. His research spans sound synthesis algorithms, audio watermarking, and ubiquitous music ecosystems.

Jason Lutherمشاهده پروفایل

دانشیار

• DIY Culture
• Sound Writing
• Sonic Rhetoric
• +۳ مورد دیگر

Jason Luther is an Associate Professor in the Department of Writing Arts at Rowan University's Ric Edelman College of Communication & Creative Arts. His research focuses on DIY culture, sound writing, and media literacy, with a particular emphasis on public writing and participatory media practices. He teaches courses such as Methods of Analysis in Writing, Writing, Research, and Technology, and Self-Publishing. Jason holds a B.A. and B.S. from SUNY Fredonia, an M.A. from the University of Nevada, Reno, and a Ph.D. from Syracuse University. His work has been published in journals like Literacy in Composition Studies , enculturation , and Community Literacy Journal , and he has co-edited special issues on self-publishing and DIY composition. Grants & Fellowships: RCRL Summer Teaching Fellowship (2023) Winterthur Research Grant (2021) RCIE Faculty Fellowship (2019) His research explores intersections between digital media, sound studies, and pedagogy. Recent projects include studies on pandemic-era publishing practices and the rhetoric of sound archives. He frequently presents at national conferences and advocates for innovative approaches to writing and technology.

• Artificial Intelligence
• Internet of Things
• Computer Vision
• +۴ مورد دیگر

Miloš Dobrojević serves as a Professor at Singidunum University's Faculty of Informatics and Computing in Belgrade, Serbia. His academic foundation includes doctoral, postgraduate, and bachelor studies at the University of Belgrade's Faculty of Mechanical Engineering. His research spans Artificial Intelligence , Internet of Things , and Computer Vision with emphasis on practical applications. Key focus areas include metaheuristic optimization of neural networks for tasks like crop yield prediction, medical diagnostics, and cybersecurity. Recent work demonstrates strong industry relevance in precision agriculture, drone detection systems, and sustainable homestead automation. Analysis of his 15 most recent publications reveals a consistent pattern of applying modified metaheuristics to enhance deep learning models across diverse domains. His work bridges theoretical AI advancements with real-world implementations in agriculture, healthcare, and energy systems. Scientific Contributions: Author of 3 textbooks including 'Veb informacioni sistemi' (2024) and 'Veb programiranje' (2021) Published 40+ journal/conference papers between 2003-2025 Active contributor to Springer book chapters on AI applications Dobrojević's work demonstrates strong practical orientation with projects in Serbian renewable energy transition, flood prevention systems, and municipal e-government solutions. His recent collaborations with researchers like N. Bacanin and M. Zivkovic show consistent output in high-impact journals. Current projects focus on generative AI for medical data and computer vision for agricultural optimization. His laboratory work centers on IoT-based monitoring systems for environmental applications, particularly water management in mountainous regions. Ongoing research explores drone detection networks and waste classification systems using advanced computer vision techniques.

• Customer Relationship Management
• Social Media Analytics
• Marketing Technology
• +۳ مورد دیگر

David A. Schweidel is a Professor of Marketing at Emory University’s Goizueta Business School. With a background in mathematics, statistics, and marketing, he has held faculty positions at the University of Wisconsin-Madison and Georgetown University. His expertise spans customer relationship management, social media analytics, and data-driven marketing strategy. Ph.D. in Marketing – University of Pennsylvania M.A. in Statistics – University of Pennsylvania B.A. in Mathematics – University of Pennsylvania His research focuses on statistical modeling of customer behavior, with applications in social media analytics, political marketing, and consumer data utilization. He has consulted for companies like EBay and General Motors, and authored books on social media intelligence and data economy applications in business. His recent publications explore topics like political social media communication, blockchain marketing integration, and generative AI applications. Articles examine consumer privacy trade-offs, customer acquisition modeling, and the role of user-generated content in hybrid marketing environments. Recipient of Gaumnitz Junior Faculty Research Award Marketing Science Institute Buzzell Award winner Recognized in Marketing Science Institute Young Scholar program Included in Poets and Quant’s Top 40 Under 40 His work bridges academic research with practical marketing applications, particularly in digital environments and data analytics.

• Computer Engineering
• Augmented Reality
• Virtual Reality
• +۷ مورد دیگر

Karthik Ramani is the Donald W. Feddersen Distinguished Professor in Mechanical Engineering and Professor of Electrical and Computer Engineering at Purdue University. He holds dual appointments in the Elmore Family School of Electrical and Computer Engineering and the Department of Mechanical Engineering within the College of Engineering. His research focuses on advanced topics in augmented reality (AR), virtual reality (VR), human-computer interaction, artificial intelligence, and robotics, with emphasis on tangible user interfaces, design automation, and immersive learning technologies. His work bridges theory and application, addressing challenges in interactive systems, IoT education, and embodied AI. Key research areas include AR/VR platform development, generative AI for design, and systems enabling bidirectional interaction between digital and physical objects. His contributions span technical innovations like the DuNN method for solving partial differential equations, the pARametric tool for parametric modeling, and collaborative AR platforms for educational and industrial use. He has authored numerous patents and articles on topics ranging from hand-object interaction to large language model visualization. Ramani’s work emphasizes practical applications in fields like manufacturing education, IoT skill development, and immersive training. His systems address challenges such as real-time AR binding with physical toys, causal reasoning visualization in mixed reality, and human-robot collaborative task authoring. His research often integrates hardware innovation with software solutions, as seen in flexible touch sensing systems and stretch-based interaction methods for wearable devices.

• Robotics
• Human-Robot Interaction
• Control Systems
• +۵ مورد دیگر

Brandon J. DeHart is an Adjunct Assistant Professor at the University of Waterloo. He is affiliated with the university's academic faculty and can be contacted at brandon.dehart@uwaterloo.ca or at location E5 3108. His research focuses on robotics, particularly humanoid robots, control systems, and roboethics. He has contributed to advancements in dynamic balance, gait metrics, and human-robot interaction. His work spans topics like legged mechanism design, sensor networks in art installations, and automated content generation systems. His research interests include the development of humanoid robots capable of child-friendly interactions, robust control strategies for uncertain environments, and ethical considerations in robotic design. He has explored technical challenges like foot placement estimators for balance recovery and momentum-based gait generation in bipedal systems. Notable contributions include methodologies for tracking visitor engagement in large art installations and frameworks for interconnecting cellular automata across hardware and software. His publications reflect a blend of robotics engineering, AI applications, and interdisciplinary approaches to technology design.