جست‌وجوی استاد و پژوهشگر

Nathan Cordovaمشاهده پروفایل

مدرس

• Photography
• Video Art
• Somatics
• +۵ مورد دیگر

Nathan Cordova is a Lecturer at Stanford University in the Department of Art and Art History, teaching darkroom photography, concepts, and theory. He earned his MFA in Photography, Video and Imaging from the University of Arizona in 2024. Education: MFA (University of Arizona, 2024), Photographic Innovations Workshop (Anderson Ranch, 2022), Core Bookbinding Certification (San Francisco Center for the Book, 2019) His research interests span somatic practices, queer theory, glitch aesthetics, and border discourse, often blending digital media with physical interventions. Current projects like Ghosts and Shadows explore human-border interactions, supported by the Mellon-Fronteridades Fellowship. Nathan's artistic practice includes photographic works, video installations, and self-published zines that interrogate identity fluidity, bodily autonomy, and institutional critique. His Feeling a Future Coming thesis project recontextualizes digital imagery through material transformations and queer somatic engagement. Scientific Awards: 2024: Lenscratch Student Prize Top 25 2023: Mellon-Fronteridades Fellowship 2023: Helen Gross Award 2022: GPSC Travel Grant 2022: Medici Scholar Award 2022: Anderson Ranch Scholarship

Giulia Grisotمشاهده پروفایل

مدرس

• Digital Humanities
• Literary Mapping
• Natural Language Processing
• +۳ مورد دیگر

Giulia Grisot is a Lecturer in Digital Humanities, Art History and Cultural Practices at the University of Manchester. Her research combines computational methods with literary analysis, focusing on spatial and emotional dimensions in texts. Grisot employs natural language processing and machine learning techniques for literary mapping, sentiment analysis, and spatial entity recognition in fiction. Her projects include investigating spatial affect in German-Swiss literature and developing computational tools for analyzing emotional landscapes in texts. She organizes academic events including the 'Comparing Landscapes: Approaches to Space and Affect in Literary Fiction' workshop and the ongoing Environmental Digital Humanities Seminar series. Her work bridges computational methods and traditional humanities scholarship.

Christophoros Nikouمشاهده پروفایل

استاد

• Image Processing
• Computer Vision
• Pattern Recognition
• +۱۲ مورد دیگر

Christophoros Nikou is a Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He holds a Ph.D. in Image Processing and Computer Vision from Université Louis Pasteur - Strasbourg I, France (1999), a DEA in Photonics and Image Processing from the same institution (1995), and a Diploma in Electrical Engineering from Aristotle University of Thessaloniki, Greece (1994). His research interests include: Image Processing Computer Vision Pattern Recognition Biomedical Image Analysis Medical Imaging Machine Learning His recent publications (2022–2024) reflect a strong trend toward deep learning, generative models, and multimodal analysis, particularly in document image analysis, super-resolution, and biomedical applications. He has made significant contributions to visual tracking, segmentation, and image registration, with recent work extending into virtual reality, hypercomplex neural networks, and model compression. Scientific awards include: Best paper award, IAPR/IEEE International Conference on Biometrics (ICB’16), 2016 Best paper award, Bayesian and Graphical Models for Biomedical Imaging (BAMBI’16), 2016 He has supervised numerous students, many of whom have co-authored publications with him, and his research has been supported by collaborations across multiple institutions. He has also co-edited a book on biomedical image processing and contributed to several book chapters. His work spans both theoretical and applied domains, with consistent publication in top-tier IEEE and Springer venues.

Kimheng Sokمشاهده پروفایل

پژوهشگر

• Blockchain
• Internet of Things
• Document Image Analysis
• +۴ مورد دیگر

Kimheng Sok is a researcher at the University of Namur, specializing in blockchain, internet of things, and document image analysis. His work addresses challenges in decentralized authorization frameworks, text segmentation for ancient manuscripts, and mobile tourism technologies. He has contributed to international conferences such as CAiSE 2022, SoICT 2018, and ICFHR 2016. Research Interests : Blockchain integration with IoT, attribute-based authorization, handwritten text recognition in palm leaf manuscripts, competitive learning algorithms, and mobiquitous tourism applications. Recent Publications His recent work (2022) focuses on multi-authority decentralized authorization frameworks, while earlier studies (2018–2014) explore blockchain-IoT synergies, palm leaf manuscript digitization, and tourism technology. Keywords span Computer Science, Cybersecurity, Digital Humanities, Artificial Intelligence .

Rodrigo Vega Sanchezمشاهده پروفایل

پژوهشگر ارشد

• Digital Humanities
• Colonial History
• Artificial Intelligence in Humanities
• +۳ مورد دیگر

Rodrigo Vega Sanchez serves as a Senior Research Fellow at Lancaster University's School of Global Affairs, specializing in Digital Humanities and History. His academic work bridges historical scholarship with computational methodologies, focusing particularly on colonial history of the Spanish Empire. His research interests include: Digital Humanities methodologies for historical analysis Socioeconomic history of colonial New Spain Artificial Intelligence applications in historical document processing Handwritten Text Recognition systems for archival materials Digital preservation of historical research data Dr. Vega Sanchez currently leads the major research project "The New Spain Fleets: Delving into three centuries of socioeconomic colonial history through Artificial Intelligence" (March 2024-February 2029), which applies AI techniques to analyze centuries of shipping records from the Spanish colonial period. His work represents a significant contribution to computational history methodology. He actively participates in academic knowledge exchange through workshops on AI and Handwritten Text Recognition for Humanities Research, delivers invited talks on projects like "Proyecto Flotas de la Nueva España," and contributes to discussions about research data preservation with the Digital Humanities Centre.

• Historical Linguistics
• Tibetan Studies
• Sino-Tibetan Languages
• +۳ مورد دیگر

Professor Nathan Hill is affiliated with the School of Languages, Cultures and Linguistics at SOAS University of London . His research spans historical linguistics, computational approaches to language comparison, and Tibetan studies. Specializes in Sino-Tibetan and Tibeto-Burman languages Pioneering work in digital humanities for Tibetan scripts Focus on documenting and analyzing endangered language features Research Trends from his recent publications include: Computational methods for cognate analysis and phonetic alignment Historical morphology of Tibetan and related languages Digital preservation of Sanskrit and Newar manuscripts Phonetic transcription systems for classical languages Pragmatic structures in Old Tibetan texts Interdisciplinary work bridging linguistics and Buddhist studies Supervision includes theses on Mandarin Chinese connectives and Old Tibetan pragmatics. His methodological contributions emphasize open data and reproducible research in linguistic analysis.

• Natural Language Processing
• Artificial Intelligence
• Information Extraction
• +۴ مورد دیگر

Assoc. Prof. Pavel Pecina, Ph.D., is a faculty member at the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. His primary academic role as an Associate Professor focuses on Natural Language Processing , Artificial Intelligence , and related areas. Research Interests: Information extraction, information retrieval, machine translation, multimodal data interpretation, optical music recognition Teaching: Courses since 2012-2022 including Natural Language Processing , Information Retrieval , and Statistical Methods in NLP Key Research Projects include GI-Insight (AI for healthcare), RES-Q+ (global stroke care registry), and MEMORISE (heritage digitization). His recent publications (2023-2025) demonstrate expertise across clinical NLP , historical document analysis , and music technology domains. Advising: Supervised 10+ graduate students in areas ranging from semantic search to optical music recognition. Collaborates with international institutions on multilingual translation and medical informatics challenges through initiatives like IWSLT and CLEF eHealth.

• Machine Learning
• Economics
• Wealth Inequality
• +۳ مورد دیگر

Seorin Kim is a doctoral researcher at the Vrije Universiteit Brussel (Brussels, Belgium), affiliated with the Business Technology and Operations PhD program. Their work bridges machine learning and economics , focusing on historical data analysis and wealth inequality dynamics. Recent research explores how large language models (LLMs) enhance optical character recognition (OCR) and handwriting text recognition (HTR) for historical records, with publications in 2024–2025. A second area examines the validity of intergenerational elasticity (IGE) as a metric for wealth mobility, published in PLOS ONE and SSRN . Key research collaborations include work with V. Ginis , J. Baudru , and W. Ryckbosch . Kim presented findings at the 2024 Ergodicity Economics conference and the ELLIS Workshop on Robustness in Large Language Models . Advising : Co-supervised four 2024 Master's theses on topics like service robots and employee well-being , online teaching technologies , dairy farm strategies , and synchromodal transport pricing .

Lasse Mårtenssonمشاهده پروفایل

استاد

• Medieval Nordic Languages
• Philology
• Paleography
• +۴ مورد دیگر

Lasse Mårtensson is Professor of Nordic Languages at Uppsala University's Department of Nordic Languages, specializing in medieval Nordic philology, paleography, and digital manuscript analysis. His current research focuses on scribal attribution, text transmission, and Nordic onomastics, with leadership roles in major projects like the Riksbankens jubileumsfond-funded 'Digitization of West Nordic Manuscripts' (2022–2025). Research Interests: Martensson's work spans three core areas: Grafonomy & Paleography : Developing computational methods to analyze scribal habits in medieval manuscripts using digital tools like quill-feature analysis. Textual Criticism : Critical editions of Old Norse/Icelandic texts (e.g., Codex Upsaliensis ) for the Medieval Nordic Text Archive (MENOTA). Onomastics : Quantitative study of personal names in medieval Swedish runic inscriptions, highlighting Viking Age naming traditions. Publication Trends: His 15 most recent articles (2010–2025) demonstrate a consistent focus on integrating digital humanities with traditional philology, particularly in scribal identification, orthographic analysis, and Old Norse textual studies. Computational paleography and quantitative approaches dominate his methodological innovations. Awards & Honors: Dag Strömbäcks belöningsfond (2015) for the monograph Skrivaren och förlagan . Westinska priset (2008) for his doctoral dissertation. Icelandic Ministry of Education Scholarship (1999–2000). Supervision & Projects: Advises PhD student Birger Mård on Old Swedish bynames. Secured 13.4M SEK (2016–2020) for the project 'Nya ögon på Sveriges medeltida skrivare,' applying digital paleography to Swedish medieval scribes. Co-investigator in 4+ international projects including 'Konungsbók Snorra Eddu' (Iceland, 2016–2018). Academic Service: Co-editor of Scripta Islandica (2013–present), chair of the Icelandic Society, board member of Svenska fornskriftsällskapet and Kungl. Humanistiska Vetenskaps-Samfundet, and coordinator of the Early North European Seminar (ENES).

• Photography
• Conceptual Art
• Contemporary Art
• +۲ مورد دیگر

Joseph Marotta is a Professor in the Department of Art & Art History at the University of Utah with over thirty-five years of active artistic practice. His photographic work has been extensively exhibited and collected internationally, appearing in significant publications including "Black and White Photography, An International Collection" and "Photographers of the West". Marotta's research centers on the philosophical exploration of time and its accelerated perception in the twenty-first century. He employs radical experimental techniques such as image fragmentation, handwritten text integration, painting, chemical staining, and incomplete development processes to transform viewers into active participants in the image-making experience. His photographic practice is geographically anchored in France and Italy, where he creates works that interrogate temporal perception through European landscapes and cultural contexts. No scientific awards, grants, student advisement records, or laboratory affiliations were documented in the source material. His ongoing research continues to investigate temporal phenomena through the materiality of photographic processes.

• Natural Language Processing
• Multimodal Understanding
• Machine Translation
• +۳ مورد دیگر

Israfel Salazar is a Research Fellow at the Department of Computer Science , University of Copenhagen, affiliated with the Natural Language Processing research group . His work focuses on multimodal understanding and representation, bridging natural language processing, machine translation, computer vision, genomics, and historical data analysis. Email : israfel.salazar@di.ku.dk Phone : +4535337068 Research interests include: Culturally aware multimodal machine translation Massively multilingual vision evaluation Genomic offset statistics Temporal data extraction from historical documents His recent publications highlight interdisciplinary approaches combining language and vision systems, statistical modeling for biological data, and historical record analysis. He contributes to benchmarking frameworks and evaluation methodologies for modern AI applications. Israfel's work spans both foundational and applied research domains, with a focus on cross-modal learning, computational methods in bioinformatics, and automated analysis of historical archives. His projects often require hybrid techniques integrating linguistic and visual modalities. He operates within the Natural Language Processing section at DIKU, which also hosts research into probabilistic programming applications in bioinformatics, computer vision integration with NLP, and energy-efficient computational frameworks. Collaborations with other DIKU groups (e.g., FUTHARK for GPU acceleration, quantum programming) may inform his technical implementations.

Parag Tamhankarمشاهده پروفایل

استادیار

• Deep Learning
• Natural Language Processing
• Pattern Recognition
• +۴ مورد دیگر

Parag Tamhankar is an Assistant Professor in the Department of Computer Science within the College of Arts & Sciences at Georgia State University, joining the faculty on August 1, 2023. His research bridges computer vision and natural language processing with a specialized focus on historical Indian scripts. Education: B.Sc. in Computer Science, North Maharashtra University, India (1997) M.Sc. in Computer Science, North Maharashtra University, India (1999) Ph.D. in Computer Science, Kavayitri Bahinabai Chaudhari North Maharashtra University, India (2021) Dr. Tamhankar's research centers on developing computational frameworks for processing historical Marathi documents written in the obsolete MODI script. His work integrates deep learning for character segmentation, skew correction, and transliteration into Devanagari script, with current efforts focused on improving document tokenization and creating annotated datasets for NLP training. He aims to extend this research into semantic analysis using advanced NLP techniques. His publication portfolio demonstrates consistent contributions to document analysis, particularly in solving challenges unique to historical Indian scripts. The research shows progression from fundamental preprocessing techniques (skew correction, line segmentation) to advanced deep learning applications for character recognition. Scientific Recognition: 2nd Prize at University Level Avishkar Conference (2015) for MODI script recognition research Dr. Tamhankar actively supervises graduate research in document analysis and computational linguistics, with his doctoral work forming the foundation for ongoing projects in historical document digitization. His research has been presented at multiple international conferences including RTIP2R (2020), with publications in Scopus-indexed journals like ELSEVIER Procedia Computer Science.

• Automatic Speech Recognition
• Conversational User Interfaces
• Human-Computer Interaction
• +۶ مورد دیگر

Prof. Hans-Peter Hutter is a Professor of Computer Science at the ZHAW School of Engineering, specializing in Deep Learning-based Automatic Speech Recognition, Conversational User Interfaces, and Human-Centered Computing. He leads the Human-Centered Computing research group at InIT/ZHAW and has held this position since 2005. His work focuses on accessibility technologies, mobile usability, and inclusive design for visually impaired users. Education: Dr. sc. techn. ETH in Computer Engineering (ETH Zurich, 1996) Dipl. El.-Ing. ETH in Electrical Engineering (ETH Zurich, 1986) Research Interests: Advancing accessibility in digital systems (e.g., accessible PDFs, navigation aids for visually impaired users) Speech recognition and dialogue systems Mobile application design principles Service engineering and platform development His recent work emphasizes multimodal interaction, accessible document remediation, and SLAM systems for navigation assistance. Projects: Leading the InCrowd-VI dataset project for indoor navigation Developing MathNet for mathematical expression recognition Creating accessible tourism services in Lake Constance region Grants & Labs: Active in EU-funded and industry collaborations, leading the InIT Institute founded in 2002. Collaborates with organizations like SwissICT and ACM.

• Systems and Networking
• Machine Learning
• Data Privacy
• +۵ مورد دیگر

Reza Farivar is a Clinical Associate Professor at the University of Illinois at Urbana-Champaign, affiliated with the Siebel School of Computing and Data Science. He holds a BS in Electrical Engineering from Tehran Polytechnic University, an MS in Computer Engineering from Sharif University of Technology, and a PhD in Electrical and Computer Engineering from UIUC. His research focuses on Systems and Networking, with a strong emphasis on machine learning applications, data privacy, cybersecurity, and cloud computing. He has taught courses such as Cloud Computing Applications, Cloud Capstone, and Data Mining Capstone. Dr. Farivar's work spans innovative areas including synthetic data generation, encryption techniques, authentication systems, and automated interview processes. He has contributed to projects like texture warping-based encryption, CAPTCHA distortion using GANs, and secure multi-party computation for credit scoring. His publications often address challenges in data security, user privacy, and efficient system design. While no specific awards or grants are mentioned, his extensive list of patents highlights contributions to technologies like secure authentication, document deformation correction, and personalized content generation. His research integrates theoretical frameworks with practical applications, addressing modern challenges in computing systems and data science.

Michael R. Scheesseleمشاهده پروفایل

دانشیار

• AI Ethics
• Artificial Intelligence Systems
• Artificial Vision
• +۳ مورد دیگر

Michael R. Scheessele serves as Associate Professor of Computer Science and Psychology at Indiana University South Bend, where he bridges artificial intelligence and cognitive science through ethically grounded research on intelligent systems. His dual expertise informs interdisciplinary investigations into machine morality and psychologically plausible AI architectures. His educational foundation includes: Ph.D. in Quantitative and Mathematical Psychology from Purdue University (2001) MS in Quantitative and Mathematical Psychology from Purdue University (1998) MS in Computer Science from DePaul University (1994) BS in Computer Science: Information Systems from Purdue University (1983) Scheessele's research centers on AI Ethics , critically examining anthropocentrism in determining machine moral status and human nonanthropocentrism limits. He develops psychologically plausible AI systems for artificial vision and problem-solving, integrating cognitive psychology principles to model human-like perception. His work uniquely connects computer science rigor with philosophical ethics, addressing urgent questions about human-machine relationships through empirical and theoretical frameworks. Publication analysis reveals a distinct trajectory from cognitive psychology (2005-2008 visual perception studies) to contemporary AI ethics leadership (2018-2021 moral status frameworks). Recent work demonstrates growing emphasis on ethical AI development, while maintaining connections to foundational cognitive science through vision research. His scientific recognition includes: SMART Summer Fellowship (2020) for mentoring Ben Bavar on robot blame intuitions Faculty Research Grant (2018) supporting anthropocentrism defense in machine ethics Supplemental Travel Grant (2018) for AIES conference presentation New Frontiers Experimentation Fellowship (2017) exploring moral obligations to intelligent machines Scheessele actively mentors students in interdisciplinary research, as evidenced by the SMART Summer Fellowship project. His grant portfolio reflects strategic funding for both student development and high-impact conference dissemination, particularly in emerging AI ethics venues. Current research focuses on ethical frameworks for intelligent machines through multiple funded initiatives. No dedicated research labs or formal teams are specified in available documentation, though his work involves cross-departmental collaboration between Computer Science and Psychology.