جست‌وجوی استاد و پژوهشگر

• Cybersecurity
• Multimedia Content Delivery
• IP Networks
• +۵ مورد دیگر

Dr. Miroslav Michalko is an Associate Professor at the Department of Computer Networks and Security, Faculty of Electrical Engineering and Informatics, Technical University of Košice. His research focuses on Cybersecurity, Multimedia Content Delivery, IoT for eHealth, Smart Cities and Homes, Web Technologies, and EU Project Management. He teaches courses such as Computer Networks, Security of Computer Networks, and CCNA Security. He actively coordinates the Girls in IT @ FEEI TUKE initiative and serves as the National Guarantor for Information Technologies and Telecommunications within Slovakia's Qualifications Verification System. His research interests span Cybersecurity methodologies, IoT integration in healthcare, Smart City infrastructure, and innovative educational technologies. Notable projects include developing UAV-based monitoring systems, smart home solutions, and cybersecurity educational platforms. He has contributed to over 50 peer-reviewed publications, emphasizing practical applications of computer networks and IoT. Dr. Michalko's recent work highlights advancements in autonomous UAV control via machine learning, intrusion detection in IoT environments, and real-time water leak detection systems. His teaching emphasizes hands-on learning through simulations and industry-aligned certifications like Cisco's NetAcad program.

Owen Klatteمشاهده پروفایل

مدرس

• Animation
• Stop Motion
• Computer Graphics
• +۳ مورد دیگر

Owen Klatte is an Animation Lecturer in the Film, Video, Animation & New Genres Department at the University of Wisconsin-Milwaukee (UWM). His role involves teaching courses such as Stop Motion Animation, The Animation Business, and The Animation Production Process. Education: BS in Architecture from UW-Milwaukee. Research & Professional Experience: Owen brings extensive industry experience as an Animation Director and Character Animator, with credits spanning stop motion and computer graphics. Notable projects include Harry Potter and the Deathly Hallows - Part 1 , Anomalisa , Charlotte’s Web , and Disney’s The Nightmare Before Christmas . His expertise spans commercials, TV shows, games, and feature films across major and independent studios. He emphasizes training emerging artists, blending practical industry insights into his teaching.

Brian Dunnمشاهده پروفایل

دانشیار

• Information Systems
• Data Analytics
• E-Commerce

Brian Dunn is an Associate Professor in Data Analytics and Information Systems at Utah State University. He holds a Ph.D. in Information Systems Management from the University of Pittsburgh (2014), an MBA from UC Irvine (2002), and a B.A. in German from Brigham Young University (1996). His research covers e-commerce, online marketing, and data analytics.

Foaad Khosmoodمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Digital Government
• +۴ مورد دیگر

Foaad Khosmood is a Professor of Computer Science and Forbes Professor of Computer Engineering at California Polytechnic State University. As Research Director of the Institute for Advanced Technology and Public Policy (IATPP), he leads projects focusing on digital government transparency, AI applications in legislative analysis, and data science for historical research. His work spans NLP/AI, game design, and systems engineering with notable contributions to computational humor analysis, legislative data tools like Digital Democracy, and game jam methodologies documented in his Springer book Game Jams—History, Technology, and Organisation (2023). Education: PhD in Computational Linguistics from UC Santa Cruz (2011). Research interests include artificial intelligence, digital humanities, and applying NLP to policy analysis. Collaborations involve institutions like the University of Miami, Graz University of Technology, and Imperial College London. He actively develops tools for state legislative transparency, historical data recovery (e.g., African Californios project), and AI-driven journalism support systems. His recent publications emphasize explainable AI for humor analysis, legislative stance detection systems, and game-based learning frameworks. Projects like AI4Reporters and Central Coast Data Science Partnership highlight his commitment to bridging technology with civic engagement. He regularly contributes to conferences like DH, ACL, and FDG, advancing interdisciplinary applications of computational methods.

Sanjiv Bhatiaمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Cyber Security
• +۷ مورد دیگر

Sanjiv Bhatia is a Professor of Computer Science at the University of Missouri-St. Louis, specializing in computer vision, image processing, and operating systems. He holds a PhD in Computer Science from the University of Nebraska-Lincoln and has extensive industry consulting experience in defense applications. His educational background includes: PhD in Computer Science, University of Nebraska-Lincoln (1991) MS in Computer Science, University of Arkansas at Fayetteville (1987) BE in Computer Science Engineering, Motilal Nehru National Institute of Technology (1983) Dr. Bhatia's research focuses on developing algorithms for computer vision applications including image indexing, object tracking, and multi-sensor fusion. His work bridges theoretical computer science with practical applications in defense systems and cloud computing. His publications demonstrate consistent focus on algorithm development for image processing and pattern recognition, with recent expansion into environmental modeling applications. Research trends show progression from core computer vision techniques to applied geospatial analysis and optimization methods. Awards include: Chancellor's Award for Excellence in Teaching (2015) He teaches courses in Operating Systems, Digital Image Processing, and Cloud Computing. His instructional approach emphasizes practical implementation and system-level programming skills, with curriculum materials including extensive programming assignments and open-book examinations.

Chris E. Vargasمشاهده پروفایل

استادیار

• Queer and Transgender Studies
• Video Art
• Interdisciplinary Art
• +۳ مورد دیگر

Chris E. Vargas is an Assistant Professor of Art at Western Washington University, affiliated with the College of Fine and Performing Arts. He is the Executive Director of MOTHA (Museum of Transgender Hirstory & Art), an institution dedicated to trans art and cultural contributions. His work merges humor, performance, and mainstream media to explore queer and trans experiences in historical and cultural contexts. Education: MFA in Art Practice (UC Berkeley, 2011); BA in Film & Digital Media (UC Santa Cruz, 2006) Research interests focus on trans and queer representation, cultural memory, and institutional critique. Notable projects include the web sitcom Falling In Love...with Chris and Greg (2008–2013) and the film Criminal Queers (2015), which interrogate queer identities and activism. He has received prestigious awards like the Creative Capital Award and Guggenheim Fellowship. Grants include a $50,000 Creative Capital Award (2018) for his project Transgender Hirstory in 99 Objects , combining exhibition and book formats. MOTHA’s exhibitions and collaborations expand trans narratives through art and scholarship.

Vasileios Chasanisمشاهده پروفایل

پژوهشگر

• Machine Learning
• Video Analysis
• Video Summarization
• +۶ مورد دیگر

Vasileios Chasanis is a researcher at the Department of Computer Science & Engineering, University of Ioannina, specializing in machine learning applications for video analysis, summarization, and surveillance systems. His work bridges theoretical algorithms with practical implementations in multimedia processing. Educational background: Diploma in Electrical and Computer Engineering, Aristotle University of Thessaloniki (2004) PhD in Computer Science, University of Ioannina (2009) His research focuses on Machine Learning and Computer Vision with emphasis on video structure analysis and real-time processing . Core methodologies include support vector machines , spectral clustering , and multi-view feature extraction for tasks like shot boundary detection, key-frame extraction, and scene segmentation. Recent work extends to clinical data mining and tourism technology applications. Publication trends show consistent innovation in video summarization algorithms and efficient feature extraction , with increasing interdisciplinary applications in healthcare and tourism. His 2023 work demonstrates expansion into web-based augmented reality systems for tourism destinations. Scientific recognition: Best Scientific Paper Award at ICPR 2014 for key-frame extraction research Research funding includes EU-cofunded projects: PENED 2003 (machine learning for video analysis), ARTreat FP7 (clinical decision support), and ongoing VIDEOSUM (video storage/summarization platform). Collaborates extensively with the IP AN Group at University of Ioannina. He co-developed the VideoSum platform—a comprehensive system for video storage, processing, and summarization—integrating spectral clustering and temporal analysis techniques for industrial applications in media management.

Demetris P. Gerogiannisمشاهده پروفایل

پژوهشگر

• Computer Vision
• Image Processing
• Image Segmentation and Registration
• +۷ مورد دیگر

Demetris P. Gerogiannis is a researcher in the Department of Computer Science & Engineering at the University of Ioannina, Greece. His academic work focuses on Computer Vision and Image Processing, with specific expertise in image registration, pointset registration, and feature extraction. He has maintained a consistent publication record from 2007 through 2020, primarily collaborating with Christophoros Nikou and A. Likas. Gerogiannis' research interests span multiple areas within Computer Vision including Image Segmentation and Registration, Pointset Registration, Feature Extraction, Object Detection and Recognition, Pattern Recognition, Automatic Image Annotation, and Machine Learning applications. His work demonstrates a consistent focus on developing robust algorithms for geometric problems in vision, with particular attention to handling noise and outliers in visual data. He has made significant contributions to point set registration, shape representation, and vanishing point detection. His publication history reveals a strong trend toward developing mathematically rigorous approaches to Computer Vision problems, particularly utilizing statistical models like Student's t-distributions for robust registration. His work bridges theoretical computer vision with practical applications, including consumer-facing technologies like QR code systems. The 15 most recent publications show progression from foundational work in image registration to more applied research in texture analysis, word spotting, and biomedical applications. Gerogiannis is also an active entrepreneur, currently coordinating QReca!, a startup focused on consumer engagement through QR codes and NFC technology. He has previously worked on a Video On Demand startup and is developing a spin-off to commercialize his Computer Vision research through an API framework. He maintains a commitment to open academic knowledge by providing Matlab code for non-commercial use related to his publications. He has volunteered for the Athens 2004 Olympic Games and maintains a passion for Mathematics, particularly Number Theory and Euclidean Geometry. His academic profile suggests a researcher who bridges theoretical computer vision with practical applications and entrepreneurial ventures.

Miao Yinمشاهده پروفایل

استادیار

• Spatial Intelligence Systems
• Multimodal Intelligence Systems
• Large-Scale Neural Model Optimization
• +۳ مورد دیگر

Dr. Miao Yin is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), part of the College of Engineering. He holds a PhD in Computer Engineering from Rutgers University and has industry experience at Google, Amazon Web Services, and Samsung Research America. His research focuses on high-performance and energy-efficient spatial/multimodal intelligence systems, leveraging higher-order tensor decomposition and algorithm-hardware co-optimization. Education: PhD in Computer Engineering, Rutgers University (2023). Research Interests include Spatial Intelligence Systems, Large-Scale Neural Model Optimization, and High-Performance Computing. His lab is equipped with advanced computing resources, including H100 GPU nodes and Ada6000/4090 servers. Awards include the UT System Rising STARs Award ($100k), and multiple travel grants from top conferences. He serves on committees for MLSys, PPoPP, DAC, and ICCD, and reviews for CVPR, NeurIPS, and IEEE journals. Advises PhD students including Sunny Shree and Wei Lin, and collaborates on projects funded by UTA and NSF grants. His lab emphasizes cross-disciplinary collaboration in AI and scientific computing.

Radim Bartosمشاهده پروفایل

استاد

• Computer Networks
• Networking Protocols
• Computer Science
• +۴ مورد دیگر

Radim Bartos is a Professor and Chair of the Department of Computer Science at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. His research focuses on communication protocols, networked systems, and underwater vehicle networks. He holds a Ph.D. in Mathematics and Computer Science from the University of Denver, along with multiple Master's degrees from the University of Denver and Czech Technical University. Education: Ph.D., Mathematics and Computer Science, University of Denver (1997) M.S., Mathematics, University of Denver (1996) M.S., Computer Science, Czech Technical University (1987) M.S., Computer Engineering, Czech Technical University (1987) Research Interests: Bartos specializes in communication protocol design, precision clock synchronization, mobile video delivery, and underwater communication systems. Notable projects include work on disconnected network protocols for cyber-physical systems, HTTP video streaming optimization, and collaboration with the Autonomous Undersea Systems Institute. Grants & Collaborations: Funded by the National Institute of Standards and Technology (NIST), U.S. Office of Naval Research (ONR), Cisco Systems, and others. His underwater communications work involves partnerships with institutions like Rensselaer Polytechnic Institute and the Naval Undersea Warfare Center. Labs/Teams: Involved with the Autonomous Undersea Vehicle Applications Center and interdisciplinary collaborations on networked systems and optical networking.

Ceri Bindingمشاهده پروفایل

پژوهشگر

• Controlled Vocabularies
• Semantic Web Technologies
• Linked Open Data
• +۵ مورد دیگر

Ceri Binding serves as a Researcher within the Computing, Cybersecurity, Mathematics and Informatics Research and Innovation Group at the University of South Wales' Faculty of Computing, Engineering and Science. His work bridges advanced information science with archaeological applications through semantic technologies. Research focuses on controlled vocabularies , semantic web technologies , and data integration for cultural heritage. Key areas include: Ontological modeling for archaeological contexts Linked Open Data implementation in heritage domains Thesaurus-based metadata alignment Temporal expression systems for archaeological periods Recent publications demonstrate strong emphasis on vocabulary mapping and knowledge organization systems within archaeological infrastructure, particularly through projects like ARIADNEplus. His work addresses critical interoperability challenges in cross-institutional data sharing. Award highlights: Best International Impact Award (2018) for contributions to archaeological data standardization Active in international collaborations, Binding participates in working groups for controlled vocabulary development and presents regularly at ISKO conferences. His ScAPA dataset (Scottish Archaeological Periods & Ages) serves as a key resource for temporal referencing in archaeology. Current activities include developing reproducible workflows for archaeological data processing and open-source tools for temporal expression management.

David Hurwichمشاهده پروفایل

مدرس

• Digital Art
• Web Development (UX/UI)
• Graphic Design
• +۳ مورد دیگر

David Hurwich is a Lecturer in the School of Design at San Francisco State University. He teaches UX/UI design, web development, and digital art. Prior to academia, he worked as a contract designer for companies like Genetech, Warner Bros., KQED, and Bay Area TV channels. His teaching philosophy emphasizes translating artistic passion into practical skills for students. Affiliations: Also teaches at City College of San Francisco, UC Davis, California College of the Arts, Ex'pression School for Digital Arts, and Miami Ad School. Rated highly on Ratemyprofessor.com for being 'patient', 'understanding', and approachable. Research/teaching focus spans digital media creation, user interface design, and bridging industry practices with educational methodologies. No publications listed, but his professional design work informs pedagogical approaches. Labs/Teams: None specified; primarily focuses on classroom instruction and industry-linked projects.

Marie Drennanمشاهده پروفایل

دانشیار

• Media Theory
• Scriptwriting
• Interactive Media
• +۳ مورد دیگر

Marie Drennan is an Associate Professor in the Department of Broadcast and Electronic Communication Arts (BECA) at San Francisco State University. She advises BECA majors, the Minor in Video Game Studies, and focuses on scriptwriting for television, web series, short-format media, and interactive media/videogames. Her teaching also emphasizes media theory and critical studies of popular culture, incorporating the works of Marx, Gramsci, and Adorno. Dr. Drennan holds an M.A. in Radio and Television, an M.A. in English with a Creative Writing concentration, and an M.F.A. in Creative Writing, all from San Francisco State University. Her research interests span old-school RPGs, utopian/dystopian narratives, anarchist theory, and labor union dynamics within media industries. She maintains office hours via Zoom or in-person at Marcus Hall Room 349 on Monday, Wednesday, and Thursday afternoons. No specific grants or labs are highlighted in her profile, though her advising roles and course specializations emphasize practical and theoretical intersections in media production.

Dinesh Sabuمشاهده پروفایل

استادیار

• Documentary Film
• Social Justice
• Decoloniality
• +۳ مورد دیگر

Dinesh Sabu is an Assistant Professor at the Diederich College of Communication in the Department of Digital Media and Performing Arts Education at Marquette University. He holds an MFA in Documentary Film and Video from Stanford University (2019) and dual BA's in Cinema and Media Studies and Religion in the Humanities from the University of Chicago (2006). Teaches documentary production and film history Active filmmaker with international festival presence Focuses on ethical engagement in media Research explores intersections of documentary film with social issues like decoloniality, mental health, and trauma. His work expands visual language through new media applications while analyzing how social issues manifest in film form itself. Notable awards include: Firelight Media Documentary Lab Fellow (2014) Best Director at Los Angeles Asian Pacific Film Festival (2017) Star Filmmaker at Gene Siskel Film Center (2018) Affiliated with Kartemquin Films and professional organizations like the International Documentary Association. His filmography demonstrates consistent engagement with marginalized communities and systemic social challenges.

Francis Fatoyeمشاهده پروفایل

استاد

• Health Economics
• Outcomes Research
• Musculoskeletal Disorders
• +۳ مورد دیگر

Professor Francis Fatoye is Research Professor of Health Economics and Outcomes at Manchester Metropolitan University's Department of Health Professions, where he serves as Director of the Centre for Health, Psychology and Communities. He co-led the university's REF2021 submission in Allied Health Professions and maintains active research collaborations internationally. Education: PhD in Musculoskeletal and Health Outcomes Assessment, Queen Margaret University MSc Health Economics and Health Policy, University of Birmingham MSc Sports Medicine, University of Nottingham MBA, Ondo State University, Nigeria BSc (Hons) Physiotherapy, University of Ibadan, Nigeria His primary research focuses on health economic evaluations, real-world evidence generation, and musculoskeletal disorder management. Current investigations examine cost-effectiveness of rehabilitation technologies, digital health interventions for chronic pain, and economic models for healthcare resource allocation in low-income settings. Publication analysis reveals strong emphasis on evidence synthesis through systematic reviews and meta-analyses (constituting approximately 40% of recent output), with growing focus on telehealth applications and digital rehabilitation technologies. Research routinely spans multiple healthcare disciplines including physiotherapy, health economics, and public health. Awards and distinctions: Distinguished Alumnus Award, University of Ibadan Inaugural Lecture Honoree, Manchester Metropolitan University Expert Advisory Panel Member for NIHR/HTA programs Professor Fatoye has supervised 19 PhD completions and currently mentors 4 doctoral candidates investigating health economic modeling and rehabilitation outcomes. His research group maintains industry partnerships with Abacus International and Urgo Medical for outcomes assessment studies. Grant funding sources include NIHR, EU Interreg, and Arthritis Research UK. He leads the Health Services and Outcomes Research Group and collaborates with the Centre for Health and Social Evaluation at Teesside University. International activities include adjunct appointments in Kenya and editorial roles for BMC Musculoskeletal Disorders and other journals.