جست‌وجوی استاد و پژوهشگر

Shoaib Jameelمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۴ مورد دیگر

Dr. Shoaib Jameel is an Associate Professor at the University of Southampton, with a focus on interdisciplinary research at the intersection of Artificial Intelligence, Machine Learning, and Health Informatics. He is part of the Web and Internet Science research groups and the Centre for Machine Intelligence. His work emphasizes developing AI-driven solutions for social media analysis, mental health monitoring, and scientific collaboration assessment. Current research includes multimodal fake news detection, parameter-efficient large language models, and human-AI hybrid systems for scientometric analysis. Education and career details are not explicitly listed, but his profile highlights roles in supervising PhD students in Computer Science and active participation in cutting-edge AI research. He collaborates extensively with industry and academic partners, addressing real-world challenges through innovative machine learning frameworks. Research interests span natural language processing, deep learning architectures, and applications in healthcare and education. Notable contributions include frameworks like GAMED for fake news detection and CLEFT for analyzing user engagement in educational videos. His work is published in top venues such as the Artificial Intelligence Review, IEEE journals, and conferences like ACM. Dr. Jameel currently supervises three PhD students: Lingzhi Shen (Computer Science), Ubaid Azam (Computer Science), and Inamullah (Computer Science). He actively accepts new PhD applications in AI-related fields.

David Tinappleمشاهده پروفایل

دانشیار

• Digital and Interactive Art
• Interface Design
• Educational Technology
• +۴ مورد دیگر

David Tinapple is an Associate Professor at Arizona State University's Herberger Institute for Design and the Arts, specifically within the School of Art, Media, and Engineering (AME). He is also affiliated with ASU's Learning Sciences Institute and The GAME School. His work bridges the gap between art, technology, and education, focusing on designing better tools and systems for teaching and learning. Dr. Tinapple earned his BFA from The Ohio State University in 2003 and his MFA from Carnegie Mellon University in 2007. Prior to his academic career, he worked in Cognitive Engineering, a branch of interface design focused on supporting human cognition and performance in complex task domains. Tinapple's research interests span Digital and Interactive Art , Interface Design , and Educational Technology . His work explores the complex cognitive strategies employed by people at the intersection of technology and work, with a particular focus on developing innovative educational tools. He is part of the team that designed ASU's Digital Culture degree program, an experimental undergraduate program that bridges technical and creative mindsets. His research group, the Learning Environments Research Group, develops tools like CritViz.com, an online platform for peer review and critique in classrooms. Analysis of Tinapple's publications reveals a consistent focus on creating technology-enhanced learning environments that bridge artistic practice with educational innovation. His work spans tangible interfaces, peer assessment systems, flexible curriculum design, and interactive art installations. The trajectory shows increasing emphasis on scaling educational innovations for larger classrooms while maintaining the quality of creative feedback processes. Dr. Tinapple actively teaches courses related to interactive environments, digital culture, and media installations across multiple semesters. His course offerings include AME 244 (Intro Interactive Environments), AME 485/486 (Digital Culture Capstone), and various special topics courses. He also supervises graduate research through courses like AME 792 (Research) and AME 799 (Dissertation). His creative work includes numerous interactive installations such as Rotary Tumble (an experiment in projection mapping onto a moving tangible object), War Peace (a multimedia performance), Building with a Memory (a responsive intervention using light and color), and The Face of TV (an exploration of media representation). These works demonstrate his commitment to exploring human-computer interaction through artistic practice.

• Multimedia Systems
• Networked Virtual Environments
• Media Synchronization
• +۲ مورد دیگر

Fernando Boronat is a researcher specializing in multimedia systems, media synchronization, and networked virtual environments. His work focuses on hybrid broadcast-broadband TV (HbbTV), inter-destination media synchronization (IDMS), and IoT integration for real-time applications. His research explores Adaptive media playout algorithms Distributed synchronization mechanisms Multi-screen and multi-user scenarios IoT for tele-assistance and port logistics Key publications span topics like Web-based synchronized viewing platforms , AIoT in maritime logistics , and self-adaptive cloud-edge architectures . Collaborations include experts in networking (Mario Montagud), wireless systems (Jaime Lloret), and healthcare (Pascual Escrivá). While his academic rank is explicitly listed as 'Researcher,' no formal university affiliation or departmental details are provided in the available data. His work bridges theoretical networking research with practical implementations in hybrid TV, port management, and elderly care systems.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۸ مورد دیگر

Rohini Srihari is a Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York, where she also serves as Associate Chair. Additionally, she holds an Adjunct Professor position in the Department of Linguistics. Her academic journey includes a PhD in Computer Science from the University at Buffalo (1992) and a B. Math degree from the University of Waterloo (Canada). Dr. Srihari's research spans multiple cutting-edge areas in artificial intelligence, with a strong focus on Natural Language Processing, Information Retrieval, and Text Mining. Her work encompasses both theoretical foundations and practical applications, particularly in Conversational AI systems, disinformation detection, and social unrest prediction. She has pioneered approaches in multilingual text mining for less commonly taught languages and developed innovative methods for social media analysis. Her recent research emphasizes AI for Social Good, addressing critical societal challenges through technology. Her publication record shows a clear evolution from foundational work in multimedia information retrieval and document analysis toward increasingly socially impactful applications. The recent publications demonstrate a strong focus on using AI to address misinformation, predict civil unrest, and develop empathetic conversational agents. Her work increasingly integrates multiple data sources and leverages state-of-the-art deep learning techniques while maintaining a focus on real-world applicability and social impact. Awards & Recognition: Bronze prize in the Alexa Prize Socialbot Grand Challenge 4 (2021) Two US patents in text mining and image analysis Extensive publication record with over 100 papers and an h-index of 40 Dr. Srihari has secured significant research funding from major agencies including the National Science Foundation (NSF), DARPA, and IARPA. She has directed multiple research projects focused on AI applications for social good, including an NSF-funded project on Purposeful Conversational Agents based on Hierarchical Knowledge Graphs. She supervises students across both Computer Science and Linguistics departments, fostering interdisciplinary research. Her research group, focused on Conversational AI for Social Good, addresses critical issues like combating disinformation and assisting the disabled through trustworthy socialbots. She also directs the Center of Excellence for Document Analysis and Recognition (CEDAR) and has led interdisciplinary student teams in major competitions. Her industry experience includes founding and directing technology startups focused on big data analytics, two of which were acquired by larger media analytics companies.

Shaista Kanwalمشاهده پروفایل

دانشیار

• Mathematics Education
• Online Learning Environments
• Mathematical Modeling
• +۳ مورد دیگر

Shaista Kanwal is an Associate Professor at the Department of Mathematical Sciences , University of Agder. Her work bridges mathematics education and digital learning environments. Education: PhD in Mathematics Education (2020), M.Phil in Mathematics (2015), M.Sc. in Mathematics (2007) Research Interests: Focus on mathematics education at university level, mathematical modeling pedagogy, eye-tracking technology for learning analysis, covariational reasoning, and digital resource integration in mathematics teaching. Academic Leadership: Leads the Mathematics in Higher Education research group within MERGA and chairs the Research Education Committee for the PhD program in Mathematical Sciences (FDM). Teaching: Coordinates MA-455 Research Methods for associate degree programs and teaches MA-607 Quantitative Methods for doctoral students. Supervises two PhD fellows and multiple master’s theses annually.

• Information Retrieval
• XML Search Engines
• Text Search Engines
• +۸ مورد دیگر

Shlomo Geva is an Adjunct Professor in the School of Computer Science at Queensland University of Technology's Faculty of Science. His research focuses on information retrieval systems, particularly in specialized areas including XML search engines, text search engines, link discovery, and document computing. His academic work spans multiple disciplines within computer science, with particular emphasis on information retrieval technologies and their applications. Professor Geva's research interests include clustering algorithms, cross language information retrieval, focused information retrieval, information retrieval systems, link discovery mechanisms, search engine technologies, text indexing and retrieval methods, and XML indexing and retrieval techniques. His work demonstrates a consistent focus on improving the efficiency and effectiveness of information access systems across various data formats and domains. His recent publications reveal a trend toward applications of information retrieval techniques in diverse fields including remote sensing, bioinformatics, and data stream processing. The research shows an evolution from traditional information retrieval problems toward more specialized applications requiring advanced clustering algorithms and efficient data processing techniques for large-scale datasets. Professor Geva has successfully supervised numerous doctoral students whose research topics include indoor environment mapping by robots, cross-language information retrieval, natural language query interfaces for XML, evolvable hardware, and autonomous robot behavior systems.

Marlene Wagnerمشاهده پروفایل

پژوهشگر

• Educational Technology
• Digital Learning
• Teacher Education
• +۷ مورد دیگر

Dr. Marlene Wagner is a Research Associate at the Center for Digitalization in Lifelong Learning at the University of Continuing Education Krems, Austria. She is actively engaged in research on digital transformation in education, with a focus on teacher training, hybrid learning environments, and pedagogical digital competence. Her work is supported by EU and public funding agencies, and she leads key research projects in the field of educational technology. Her research interests center on educational technology , digital learning , teacher education , and learning design . She investigates how digital tools and innovative instructional models—such as flipped and hybrid classrooms—impact teaching effectiveness and student outcomes. Her work also explores AI-driven feedback systems and the transfer of training in continuing education contexts. The recent publications of Dr. Wagner reflect a strong trend in technology-enhanced learning , with emphasis on teacher support , student engagement , and instructional effectiveness . Her research spans both K–12 and higher education, utilizing mixed-methods, meta-analytic, and experimental designs. Key themes include TPACK development, social presence in hybrid settings, and the role of AI in improving learning design quality. Dr. Wagner has not been listed with any scientific awards in the provided text. She collaborates extensively on research projects and contributes to academic discourse through publications and conference presentations. Although her advisory roles are not specified, her leadership in funded projects indicates active involvement in research teams and academic mentoring. Current grants include EU-funded initiatives on teacher training and hybrid learning spaces in schools. She is affiliated with the Center for Digitalization in Lifelong Learning, a research unit focused on innovation in educational practices through digital tools and evidence-based strategies. The center supports interdisciplinary research and contributes to policy development in digital education.

Rachel Challenمشاهده پروفایل

دانشیار

• Educational Technology
• E-Portfolios
• Digital Confidence
• +۴ مورد دیگر

Rachel Challen serves as Associate Professor in Educational Development and Interim Head of Learning, Teaching and Student Experience at Nottingham Trent University's School of Social Sciences. She leads institutional initiatives including the PebblePad Steering Group and contributes to national educational technology discourse through committee memberships. Principal Fellow of the Higher Education Academy (PFHEA) Senior Fellow of the Staff and Educational Development Association (SFSEDA) Leadership Foundation Auroran Her research focuses on educational technology integration, particularly e-portfolios and digital confidence frameworks. Publications examine inclusive pedagogy, flexible learning environments, and staff development strategies, with recent works addressing AI implementation and post-pandemic educational transformation. Notable contributions include establishing digital safety protocols, developing blended learning models, and leading institutional projects like NTU Team Based Learning. Her work bridges policy implementation and creative pedagogical practices through technology-enhanced solutions.

Yedidyah Langsamمشاهده پروفایل

استاد

• Computer Science Education for STEM students
• Use of Robotics in Computer Science Education
• Medical Informatics
• +۳ مورد دیگر

Yedidyah Langsam, Ph.D. is a Professor and Chairman of the Department of Computer & Information Science at Brooklyn College , City University of New York. He also served as the Murray Koppelman Professor from 2004 to 2006. His affiliation includes teaching and research in computer science education, robotics, and medical informatics. Education: Ph.D. (field not explicitly stated, but likely in Computer Science or related discipline) Research Interests: Professor Langsam's research spans several key areas in computer science and education: Computer Science Education for STEM students : Developing effective pedagogical strategies for teaching computer science. Use of Robotics in Computer Science Education : Integrating Lego NXT robots and open-source tools into introductory programming courses. Medical Informatics : Studying the management and processing of respiratory care information and pediatric emergency care protocols. Multimedia Enhanced Distance Learning : Leveraging multimedia technologies to improve remote education. Hypermedia Systems : Designing systems that integrate hypertext and multimedia. Efficient Data Structures on Microcomputers : Implementing optimized data structures for educational and practical applications. Publications Trend: His recent publications focus on computer science education, particularly using robotics to teach programming, analyzing long-term enrollment trends in CS programs, and applying computer science to medical informatics. Earlier works include foundational textbooks on data structures in C, C++, and Java. Scientific Awards: Murray Koppelman Professor (2004–2006) Contact & Affiliations: Email: langsam@sci.brooklyn.cuny.edu Phone: (718) 951-5657 Fax: (718) 645-2092 Department of Computer & Information Science, Brooklyn College, 2900 Bedford Avenue, Brooklyn, NY 11210 Teaching: Professor Langsam teaches a variety of courses including Introduction to Programming (C++, Java), Advanced PC Computing, Advanced Programming Techniques in C, and Multimedia Computing.

Michael Boydمشاهده پروفایل

استاد

• Experimental music
• Improvisation
• Indeterminacy
• +۷ مورد دیگر

Michael Boyd is a Professor of Music and Music Program Coordinator at Chatham University's College of Arts & Sciences. His work spans experimental music composition , improvisation , and site-specific installation art , often integrating graphic notation and live electronics . Doctorate in Musical Arts (D.M.A.) in Composition, University of Maryland (2006) Master of Arts in Music Theory and History, SUNY Stony Brook (2004) Bachelor of Music in Composition and Bachelor of Science in Music Education, University of Maryland (2000) Boyd's research focuses on dismantling traditional hierarchies in music creation through indeterminate notation , collaborative performance , and environmental art . His compositions often incorporate electroacoustic elements , performance art , and multimedia installations . Recent publications analyze the works of Roger Reynolds , John Luther Adams , and Thomas DeLio , with a strong emphasis on formal innovation and interdisciplinary approaches . His works have been performed internationally at festivals like SEAMUS and Vox Novus 60x60 . Foundation for Emerging Technologies and Arts (FETA) Prize in Sound Art (2016) Pittsburgh Magazine 40 Under 40 (2013) Multiple Call for Scores awards (2013) Travel grants from Towson, University of Maryland, and Central Minnesota Arts Board Boyd has advised and collaborated with numerous ensembles, including Tempus Continuum Ensemble and Versipel New Music . His creative practice is deeply tied to community engagement and sustainable living , reflected in personal interests like vegan cooking and bike commuting .

John B. Krygierمشاهده پروفایل

استاد

• Geospatial Analysis
• Cartography
• Geographic Information Systems (GIS)
• +۶ مورد دیگر

John B. Krygier is a Professor and Department Chair in the Department of Environment & Sustainability at Ohio Wesleyan University, where he specializes in geospatial analysis, cartography, and environmental geography . His academic work bridges critical cartography , Participatory GIS , and mapping in the arts and humanities , with a focus on the sociopolitical implications of map design and geographic visualization. Education: B.S. and M.S. from University of Wisconsin-Madison, Ph.D. from Pennsylvania State University Contact: Office in Schimmel/Conrades Science Center #206, jbkrygier@owu.edu Research interests include the history of mapping , critical cartography , and the integration of sound in geographic visualization . He explores how maps function as arguments about the world and how digital mapping tools democratize spatial data through platforms like Google Maps and GIS software. His 2024 book Making Maps: A Visual Guide to Map Design for GIS provides foundational insights into map-making practices. Recent publications address topics such as 'Scrappy' Sustainability in academic institutions, Maps 2.0 in spatial media, and Ce n'est pas le monde , which deconstructs maps as representations of reality. These works highlight his engagement with cartographic theory , digital humanities , and community-driven GIS projects.

Shu-Ching Chenمشاهده پروفایل

استاد

• Data Science
• Multimedia Big Data
• Disaster Information Management
• +۸ مورد دیگر

Shu-Ching Chen is a Professor and Executive Director of the Data Science and Analytics Innovation Center (dSAIC) at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He holds a Ph.D. in Electrical and Computer Engineering from Purdue University and has extensive experience in data science, multimedia big data, disaster information management, AI/ML, and AR/VR. He leads a multi-university research center focused on data analytics, AI, and societal impact. Research Interests: His research spans data science , multimedia big data , disaster informatics , AI/ML , and spatial computing . He has pioneered work in multimodal data fusion, multimedia retrieval, and intelligent systems for disaster response and climate modeling. His recent work emphasizes AI-driven solutions for public health, transportation, and environmental resilience. The 15 most recent publications reflect a strong trend in AI for societal challenges , including pandemic response, disaster management, climate modeling, and transportation analytics. His work integrates deep learning , graph neural networks , remote sensing , and multimodal data fusion , often applied to real-world problems in public safety, healthcare, and infrastructure. There is a clear emphasis on practical software systems (e.g., hurricane loss modeling) and interdisciplinary collaboration . Scientific Honors: IEEE Fellow (2016), AAAS Fellow (2016), AIMBE Fellow (2025), AAIA Fellow (2021), SIRI Fellow (2009) ACM Distinguished Scientist (2011) Best Paper Awards (2006, 2016, 2022) IEEE TCMC Impact Award (2024), Service Award (2019) FIU Top Scholar (2011, 2012), Eminent Scholar (2014–2019) Research Leadership and Grants: Dr. Chen has secured major funding from NSF, NIH, DHS, DOE, NOAA, DoD, and industry partners (Microsoft, IBM). He is PI of a U.S. Department of Education Center of Excellence in AI-Empowered Spatial Computing and leads the dSAIC. His grants focus on AI for disaster management, pandemic response, transportation, and secure computing. He actively mentors students and collaborates across institutions. Labs and Centers: He leads the Data Science and Analytics Innovation Center (dSAIC) , a University of Missouri System-wide center. He is also PI of the AI-Empowered Spatial Computing Center of Excellence funded by the U.S. Department of Education.

Nadiah Mohamad Sofianمشاهده پروفایل

عضو هیئت علمی

• Human-Computer Interaction
• UI/UX Design
• Mobile Application Development
• +۴ مورد دیگر

Nadiah Mohamad Sofian is an Assistant Lecturer at the Malaysia School of Information Technology, Monash University. She is currently pursuing a PhD at the same institution after completing her Master's in Information Technology (2017-2022) and Bachelor's in Business Information Systems (2013-2016) from Universiti Teknologi PETRONAS. Prior to academia, she worked as an Associated Software Developer at UST Global (M) Sdn Bhd. Her research focuses on Human-Computer Interaction (HCI), UI/UX design, and mobile application development with a specialization in autism-friendly interfaces. Key interests include usability frameworks for children with autism, multimedia elements in mobile apps, and accessibility in digital health solutions. She has conducted studies on applying Fitts's Law to traditional game digitization and usability assessments using AHP methods. Nadiah has collaborated on interdisciplinary projects involving autism spectrum disorder (ASD) and digital health. Her work frequently intersects with healthcare technology and inclusive design principles. Though no formal grants or lab affiliations are explicitly stated, her publications reflect active engagement in collaborative research activities.

• Augmented Reality
• 3D Modeling
• IoT (Internet of Things)
• +۳ مورد دیگر

Vincenzo Armandi is a Research Fellow at the University of Bologna, affiliated with both the Department of the Arts and the Department of Computer Science and Engineering. His work bridges computer science and applied technology, focusing on augmented reality (AR), IoT systems, and interdisciplinary applications. Research interests include: - 3D modeling integration in extended reality platforms - AI-driven AR systems for wine recognition and fitness assistance - Mixed reality collaboration tools for industrial environments - User-centric IoT service composition via visual programming interfaces Recent publications (2021-2025) demonstrate a focus on: • AR/VR applications in cultural, health, and manufacturing contexts • IoT infrastructure design with end-user programmability • User experience evaluation in digital musical experiences No scientific awards or grants are explicitly mentioned. Advising information is unavailable.

• Smart Cities
• Internet of Things (IoT)
• Wireless Networks
• +۷ مورد دیگر

Philip Leroux is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He serves as an IOF Innovation Officer at IMEC, focusing on smart city technologies and IoT infrastructure. His research interests span Smart Cities Internet of Things (IoT) Wireless Networks Context-Aware Systems Resource Provisioning Electromagnetic Field Monitoring . His recent publications analyze RF-EMF exposure sensing networks IoT-based resource provisioning frameworks 5G network anomaly detection semantic intelligence for media automation mobile application usage prediction . These works emphasize wireless network optimization, smart city infrastructure, and cross-disciplinary IoT solutions.