جست‌وجوی استاد و پژوهشگر

Animesh Animeshمشاهده پروفایل

دانشیار

• Online Advertising
• Social Media Analytics
• Digital Commerce
• +۲ مورد دیگر

Animesh Animesh is an Associate Professor and Area Coordinator of Information Systems at McGill University's Desautels Faculty of Management. His research examines the economic and strategic impacts of digital technologies, with focus areas including online advertising, social media analytics, platform ecosystems, and sustainable business models. Animesh's work combines econometric analysis with large-scale data to investigate how digital innovations transform business practices. Recent studies explore AI hallucination detection, open government data economics, and sustainability communication strategies. His research on software patents has influenced understanding of innovation management in competitive IT markets. Animesh maintains industry partnerships through the McGill Dobson Centre for Entrepreneurship.

• Bioinformatics
• Health Informatics
• Affective Computing
• +۴ مورد دیگر

Dr. Stamos Katsigiannis is an Associate Professor in the Department of Computer Science at Durham University. His research focuses on bioinformatics, health informatics, affective computing, machine learning, and GPU computing applications. He holds a PhD in Computer Science from the National and Kapodistrian University of Athens (Greece), with prior roles including Postdoctoral Research Fellow and Lecturer at the University of the West of Scotland (2016-2020). Education: BSc (Hons) Informatics and Telecommunications, National and Kapodistrian University of Athens (Greece) MSc Computer Science, Athens University of Economics and Business (Greece) PhD Computer Science, National and Kapodistrian University of Athens (Greece) Research Interests: Bioinformatics, health informatics, affective computing (e.g., emotion recognition using EEG/ECG signals), machine learning applications in medical imaging and video quality, GPU-accelerated algorithms for biomedical data analysis, and biometric identification systems. His work bridges computational methods with healthcare, education technologies, and human-computer interaction. Advising & Students: Supervising postgraduate students in AI-driven healthcare, computer vision, and affective computing. Recent collaborations include projects on AI-generated content detection (De-Factify 4.0), chest X-ray image analysis (CLN network), and trajectory prediction using graph neural networks. Labs/Teams: Active in Durham's AI research groups, contributing to interdisciplinary projects in medical imaging, cybersecurity, and educational technology. Collaborates internationally in EU-funded initiatives and UK parliamentary AI governance consultations (AGENCY project).

Vanessa Figueiredoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Educational Technology
• Human-AI Interaction
• +۳ مورد دیگر

Vanessa Figueiredo is an Assistant Professor in the Department of Computer Science at the University of Regina. She directs the ExplorAI Research Group, focusing on human-centred intelligent systems for education and gaming. Her research bridges human-computer interaction, cognitive psychology, and artificial intelligence to create adaptive learning technologies. Research areas include: Intelligent tutoring systems for personalized education Conversational agents promoting critical thinking in children Procedural generation of game narratives using LLMs User-friendly interfaces for non-technical users Her team collaborates with educators and learners through qualitative fieldwork and controlled experiments to design technologies for K-12, higher education, and informal learning contexts. Current projects explore NPC dialogue generation and homework support systems.

Shimi Naurin Ahmadمشاهده پروفایل

دانشیار

• Online Consumer Behavior
• Online Marketing and Sales
• Text Mining
• +۳ مورد دیگر

Dr. Shimi Naurin Ahmad is an Associate Professor of Business Administration at Morgan State University's Earl G. Graves School of Business and Management. Her research focuses on Online Consumer Behavior and Text Mining of Online Word-of-Mouth, with a particular emphasis on leveraging large unstructured datasets to uncover behavioral patterns. Dr. Ahmad holds a Ph.D. in Business Administration from Concordia University's joint doctoral program with McGill, HEC, and UQAM, alongside an M.Sc. in Electrical Engineering from Concordia and a B.Sc. from Rajshahi University of Engineering and Technology. Research Interests: Online Consumer Behavior Text Mining Techniques Online Pricing Strategies Cross-Cultural Marketing Social Commerce Dynamics Her work has been published in top-tier journals such as the Journal of Marketing Analytics and International Journal of Information Management . Notably, her 2023 Journal of Marketing Analytics paper earned the Most Popular Article Award. She has secured grants including the Provost Innovation Grant and Transform Morgan Grant, supporting her research initiatives. Awards & Recognition: 2023 Most Popular Article Award (Journal of Marketing Analytics) Competitive Research Grants from Morgan State University Dr. Ahmad's research bridges technical disciplines like data mining with business applications, contributing to both academic and practical insights in consumer behavior and digital marketing strategies.

• Wireless Communications
• Internet of Things (IoT)
• Edge Computing
• +۷ مورد دیگر

Zheng Chang is a Professor at the Institute of Computing Technology, School of Computer Science and Technology, University of Chinese Academy of Sciences in Beijing, China. With a PhD from the University of Jyväskylä (2013), Chang has established a prolific research career with over 240 publications spanning from 2011 to 2025. Chang maintains strong collaborative ties with researchers at the Chinese Academy of Sciences' Shenyang Institute of Automation and has developed significant international collaborations, particularly with Finnish researchers including Timo Hämäläinen. Chang's research focuses on cutting-edge areas at the intersection of wireless communications, artificial intelligence, and edge computing. Their work prominently features federated learning, UAV networks, resource allocation, and privacy-preserving techniques for IoT applications. Recent publications demonstrate a strong emphasis on vehicular edge intelligence, split learning architectures, and RIS-assisted communications. The research output shows consistent growth with 42 publications in 2024 alone, indicating an active and expanding research program. Chang's 15 most recent publications reveal a clear research trajectory toward addressing the challenges of resource-constrained edge environments through innovative learning architectures. The work spans theoretical frameworks for privacy preservation in federated learning to practical implementations for UAV networks and vehicular systems. A notable trend is the integration of AI-generated content techniques with traditional federated learning approaches to overcome data scarcity issues in edge environments. While specific awards aren't documented in the provided text, Chang's extensive publication record in top-tier IEEE journals including IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology demonstrates significant scholarly impact. The research has been widely cited, with multiple highly cited co-authors including Timo Hämäläinen (66 co-authored papers), Zhu Han (38 papers), and Geyong Min (31 papers). Chang's work shows strong practical applications across multiple domains including intelligent transportation systems, smart agriculture, healthcare IoT, and next-generation 6G networks. The research program appears well-funded through collaborations with major institutions and demonstrates clear translational potential for real-world deployment in edge computing environments.

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.