جست‌وجوی استاد و پژوهشگر

Diana Borzaمشاهده پروفایل

مدرس

• Computer Vision
• Facial Feature Analysis
• Perception Systems
• +۶ مورد دیگر

Diana Borza is a lecturer in computer science, active since 2014, with a focus on computer vision , facial feature analysis , and perception systems . Her research applies to soft biometrics , human behavior understanding , and visual surveillance . She teaches courses including Computer Networks , Computer Vision and Deep Learning , and Object-Oriented Programming . Projects: MULTIFACE (PN-II-RU-TE-2014-4-1746, 2015-2017) DEEPSENSE (PN-III-P1-1.1-TE-2016-0440, 2018-2020) Research interests span computer vision, deep learning, and their interdisciplinary applications. Her work explores: Facial feature analysis for biometric recognition Human behavior modeling through video surveillance Efficient model ensembling and knowledge distillation Multimodal sentiment analysis and online learning dynamics Recent publications emphasize temporal action detection, attention mechanisms, and adaptive networks. Key themes include: Dynamic facial/body tracking Pedestrian attribute recognition Micro-expression detection Periocular biometrics Energy-efficient AI Scientific contributions : Received Romanian Ministry of Education grants for MULTIFACE and DEEPSENSE projects Developed models for real-time micro-expression detection and hair segmentation Published extensively on soft biometrics and human behavior analysis

Caglar Koyluمشاهده پروفایل

دانشیار

• GIScience
• Cartography
• Geovisualization
• +۷ مورد دیگر

Caglar Koylu is an Associate Professor in the Department of Geographical and Sustainability Sciences at the University of Iowa's School of Earth, Environment, and Sustainability. He directs the Geo-Social Lab where he leads research at the intersection of GIScience, network science, cartography, and visualization with applications in human mobility, migration, population geography, public health, and social vulnerability. His educational background includes a PhD from the University of South Carolina. He teaches foundational courses in GIS, geospatial programming, geographic visualization, and spatial analysis. His research program focuses on developing innovative computational and visual tools to analyze massive geospatial data and geo-social networks. Koylu's research interests span GIScience, cartography, visualization, spatiotemporal analysis, human mobility and migration, and population-scale kinship networks. His work combines network science, machine learning, and GeoAI approaches to understand complex spatial-social systems. Recent projects include analyzing historical migration patterns using population-scale family trees and developing tools for visualizing spatial flows. His publications reveal a strong focus on methodological innovation in flow mapping, spatial interaction analysis, and geovisual analytics, with applications spanning migration studies, public health, social media analysis, and disaster management. He has developed FlowMapper.org, a web-based tool for visualizing and analyzing flows across space-time. Among his notable recognitions, Koylu was elected Vice President of the Cartography and Geographic Information Society (CaGIS) in 2023. His students have received multiple awards including the CaGIS Doctoral Scholarship Award. He currently advises several graduate students including Maryam Torkashvand (PhD), Jinyi Cai (PhD), and Loretta Nwajiaku (MA). His lab has successfully graduated PhD students including Hoeyun Kwon (2023) and Geng Tian (MA, 2021). Koylu secures substantial research funding, currently serving as Principal Investigator on an NSF grant ($477,734) for population-scale kinship networks research and as Co-PI on an NIH grant ($1.18 million) for cancer risk mapping. His lab provides research experiences for undergraduate and high school students through the Secondary Student Training Program.

Zhiyuan Liuمشاهده پروفایل

دانشیار

• Large Language Models
• Natural Language Processing
• Knowledge Graphs
• +۴ مورد دیگر

Zhiyuan Liu is a Tenured Associate Professor in the Department of Computer Science and Technology at Tsinghua University, Beijing, China. He has held this position since December 2021, having progressed through the ranks from Assistant Professor (2016-2017), Tenure-track Associate Professor (2017-2021), and Assistant Researcher (2013-2016). His academic journey at Tsinghua began with his undergraduate studies (2002-2006), continued through his PhD (2006-2011), and included a postdoctoral fellowship (2011-2013). Dr. Liu's research centers on Large Language Models , Natural Language Processing , Knowledge Graphs , and Social Computing . His work spans knowledge-guided NLP, representation learning, and practical applications in domains including legal intelligence and multimodal systems. He has made significant contributions to knowledge representation learning, network embedding techniques, and few-shot natural language processing methodologies. His publication record demonstrates a clear evolution toward large-scale language models and knowledge-integrated NLP systems. Recent work focuses on efficient pretraining and fine-tuning methods for LLMs, multimodal LLMs, tool learning with LLMs, and domain-specific large models for scientific intelligence. His research shows strong interdisciplinary applications, particularly in legal intelligence and social computing, with several papers receiving prestigious recognition including F5000 awards and conference best paper honors. First Prize of Qian Weichang Chinese Information Processing Science and Technology Award (2024) World Internet Conference Awards for Pioneering Science and Technology (2023, 2022) Wu Wenjun Artificial Intelligence Science and Technology Award (2023) First Prize of the State Natural Science Award (2022, 2020) MIT Technology Review 35 Innovators Under 35, China (2018) National Young Talents Program (2020) Dr. Liu has mentored over 20 PhD students and numerous Master's students, many of whom have received top honors including Tsinghua Outstanding PhD Theses, Beijing Outstanding Graduate awards, and Siebel Scholarships. His research is supported by major grants including the Key Program of the National Natural Science Foundation of China for 'Theories and Methods of Few-shot Natural Language Processing' (2023-2027), and the Beijing Municipal Science & Technology Commission project on 'Sparse Modular Large Model Technology' (2023-2025). He leads research in the Natural Language Processing Laboratory at Tsinghua University, where his team develops cutting-edge LLM infrastructure, knowledge computing systems, and applications in legal intelligence. The lab maintains strong industry collaborations with Tencent, Baidu, and AMD, and has contributed to several successful startups emerging from his research.

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Vivek Gupta is an incoming Assistant Professor at the School of Computing and Augmented Intelligence , Arizona State University (ASU), starting Fall 2024. Previously, he served as a Postdoctoral Researcher at the University of Pennsylvania's Cognitive Computation Group , and as a Research Fellow at Microsoft Research India . His academic journey includes a Ph.D. in Computer Science from the Kahlert School of Computing, University of Utah (advisor: Prof. Vivek Srikumar), supported by the Bloomberg Data Science Fellowship, and an MTech/BTech Dual Degree from IIT Kanpur . Dr. Gupta's research focuses on Natural Language Processing for semi-structured data , particularly tables, flowcharts, and maps. His work addresses trustworthy AI systems , multilingual tabular inference , and knowledge integration in low-resource environments. Current projects explore temporal reasoning , multimodal table analysis , and neurosymbolic agents for complex data. Recent publications examine adaptive prompting for temporal table reasoning , flowchart attribution , and multimodal benchmarking . His MMTBENCH and TabXEval frameworks evaluate robustness and quality standards in table processing. Recruitments highlight his CORAL Lab seeking candidates for Trustworthy AI projects. Bloomberg Data Science Fellowship (2021-2023) Ericsson Innovation Award (2016) Best Paper, DeeLIO-2022 Outstanding Paper, NLP4ConvAI-2022 As a mentor, Dr. Gupta has guided 30+ students across institutions including ASU, University of Utah, IIT Kanpur, and UPenn. His professional service includes organizing NAACL Student Research Workshops , serving as iKDD Student Ninja , and coordinating the University of Utah Data Science Club . Contact: vgupt140@asu.edu , keviv9@gmail.com

Nedjma Djouhra Ousidhoumمشاهده پروفایل

مدرس

• Natural Language Processing (NLP)
• Computational Social Science
• Automated Fact-Checking
• +۵ مورد دیگر

Nedjma Djouhra Ousidhoum is a Lecturer at the School of Computer Science and Informatics, Cardiff University, and a Visiting Academic at University of Cambridge. She leads the Cardiff NLP Group and focuses on Natural Language Processing and Computational Social Science. Cardiff University (2021–present) University of Cambridge (2021–2025) Hong Kong University of Science and Technology (PhD, 2014–2021) Her research explores NLP for low-resource languages , automated fact-checking , and toxic content detection , with recent work on emotion recognition datasets across 28 languages (ACL 2025 Best Resource Paper) and creating benchmarks for culturally grounded NLP (NAACL 2025 Best Theme Paper). Selected publications demonstrate her impact in multilingual dataset creation and cross-cultural NLP : BRIGHTER (ACL 2025): Best Resource Paper for emotion datasets across 28 languages WorldCuisines (NAACL 2025): Best Theme Paper for multicultural visual question answering AfriHate (NAACL 2025): Multilingual hate speech datasets for African languages Awarded Best Task Description Paper at SemEval 2025 and Outstanding Senior Area Chair at EMNLP 2023, she actively contributes to NLP community through workshop organization and program committee roles.

Ravi Vatrapuمشاهده پروفایل

استاد

• Computational Social Science
• FinTech
• Blockchain
• +۶ مورد دیگر

Ravi Vatrapu is a Professor at the Copenhagen Business School , affiliated with the Department of Digitalization . His work bridges Computational Social Science, Information Systems, and Digitalization, with a focus on social media analytics, FinTech, and predictive modeling. His research explores: Computational Social Science applications in event management and consumer behavior Social media's role in cultural economics and digital demand forecasting Blockchain technologies for financial innovation Behavioral analytics in digital platforms Recent publications highlight trends in leveraging social media data for predictive analytics and the socio-technical dimensions of digital transformation. He leads initiatives at the Computational Social Science Laboratory (CSSL), focusing on data-driven solutions for societal and business challenges. Vatrapu's expertise has been sought for lectures and panel discussions globally, including at the AMCIS 2025 conference and interdisciplinary PhD seminars. His work contributes to UN Sustainable Development Goals, particularly in digital innovation for societal prosperity.

• Discourse Analysis
• Translation Studies
• Political Communication
• +۷ مورد دیگر

Valeria Reggi is a Research Fellow at the Department of Comparative Linguistic and Cultural Studies, Ca' Foscari University of Venice. She holds a PhD in Discourse Analysis and Translation Studies from University College London, with a thesis on Matteo Renzi's rhetorical strategies. Her academic career spans adjunct professorships at the University of Bologna and University of Brescia, teaching English for Journalism, Political Communication, and Linguistics courses. Education: PhD in Discourse Analysis - Translation Studies, University College London Postgraduate Course in English-Italian Literary Translation, Ca' Foscari University Degree in Modern Languages (English-French), University of Bologna Her research focuses on multimodal critical discourse analysis of right-wing populism, exploring intersections of visual/verbal communication in political rhetoric. Key projects include analyzing Matteo Salvini's propaganda and the STRIVE initiative on vaccine hesitancy translations. She examines nationalism, media representation, and emotional polarization in political discourse. Major publications include book chapters on Ukrainian refugee narratives (2024), sentiment analysis in populist communication (2023), and studies on Salvini's social media strategies. She contributes to the New Explorations: Studies in Culture and Communication journal as an editorial board member.

• Mathematics Education
• Statistics Education
• Teacher Training
• +۳ مورد دیگر

Lorenzo Castilla Mora serves as Associate Professor in the Department of Integrated Didactics within the Faculty of Education, Psychology and Sports Sciences at the University of Huelva. His academic profile centers on mathematics and statistics education, with specialized expertise in developing probabilistic reasoning frameworks for educators and designing innovative teaching methodologies for uncertainty concepts. His doctoral research at the University of Huelva (2017) examined Spanish financial sector perceptions post-crisis using fuzzy cognitive mapping, supervised by Dr. David Castilla Espino and Dr. Juan José García del Hoyo. This work reflects his interdisciplinary approach bridging quantitative methods with social science applications. Castilla Mora's research trajectory reveals three interconnected strands: (1) teacher knowledge development in probability and statistics, evidenced by cross-cultural studies with Slovakian educators; (2) digital pedagogy innovation through platforms like Moodle, eTwinning, and Scientix for STEAM integration; and (3) curriculum adaptation to European educational frameworks. His publications consistently address practical classroom implementation challenges while advancing theoretical foundations in mathematics didactics. His scholarly output demonstrates evolving focus from financial cognition and migration studies (2006-2010) toward concentrated expertise in statistical pedagogy since 2011, with recent work emphasizing teacher training for probabilistic reasoning (2021-2023). This progression highlights increasing specialization in mathematics education while maintaining methodological rigor from his quantitative social science background. He actively contributes to research groups HUM168 (Teacher Development) and SEJ329 (MEMPES-AEA), focusing on collaborative projects that translate theoretical frameworks into practical educational tools. His current work integrates digital solutions with cognitive theory to address persistent challenges in statistics education.

• Artificial Intelligence
• Data Science
• Digital Journalism
• +۱۱ مورد دیگر

Seok Kang is a Professor in Digital Media at the University of Texas at San Antonio (UTSA), currently serving as the Director of Digital Initiatives at the College of Liberal and Fine Arts (COLFA). Previously, he served as the Associate Dean for Research for COLFA, which houses nine departments. Dr. Kang holds a Ph.D. in Telecommunication from the University of Georgia, an M.A. in Mass Communication from Illinois State University, another M.A. in Mass Communication from Sogang University in Seoul, Korea, and a B.A. in Sociology from Sungkyunkwan University in Seoul, Korea. Ph.D. in Telecommunication, University of Georgia (2001) M.A. in Mass Communication, Illinois State University (1998) M.A. in Mass Communication, Sogang University, Seoul, Korea (1997) B.A. in Sociology, Sungkyunkwan University, Seoul, Korea (1994) Dr. Kang's research spans the cutting edge of digital media and communication technologies, with particular focus on Artificial Intelligence applications in journalism, user experience of information technologies, media framing, and social media effects. His work bridges theoretical communication frameworks with practical digital media production, examining how emerging technologies like virtual reality, augmented reality, and machine learning transform media consumption and production. His research interests demonstrate a consistent trajectory from traditional media effects to the frontiers of immersive and AI-driven media experiences. Analysis of Dr. Kang's recent publications reveals a strong emphasis on contemporary global issues through digital media lenses - particularly the Russia-Ukraine war framing across global news outlets, North Korean propaganda on social media platforms, and the psychological impacts of deepfakes and eudaimonic YouTube content. His work consistently applies advanced analytical methods including topic modeling, sentiment analysis, and network analysis to understand how digital media shapes perceptions of critical geopolitical and social issues. Professor of the Semester for teaching excellence (2007) Teaching award from UTSA Provost office (2010) Star Platinum Award winner for teaching excellence (2013) 15 top faculty paper awards and more than 13 second/third place awards Multiple research awards including BEA Annual Paper Competition (2023) and Framing North Korea on Twitter award (2022) Dr. Kang has secured significant research funding including a $480,884 grant from the Institute of Museum and Library Services for data curation, a $33,470 grant from Texas Higher Education Coordinating Board for data visualization, and multiple grants from The Korea Press Foundation and The Academy of Korean Studies. His editorial roles include associate editor for Frontiers in Psychology: Media Psychology and positions on the editorial boards of Mass Communication and Society and Asian Communication Research. His work demonstrates a consistent commitment to both theoretical advancement and practical applications of digital media research.

• Machine Learning
• Deep Learning
• Reinforcement Learning
• +۴ مورد دیگر

Dr. Tulika Saha is a Lecturer (Assistant Professor) at the Department of Computer Science , University of Liverpool , United Kingdom. She is affiliated with the Natural Language Processing (NLP) group at the university and previously worked as a postdoctoral researcher at the National Centre for Text Mining (NaCTeM) , University of Manchester , under Prof. Sophia Ananiadou. She earned her Ph.D. in 2021 from the Indian Institute of Technology Patna (IITP) , supervised by Dr. Sriparna Saha and Prof. Pushpak Bhattacharyya. Current role: Lecturer at University of Liverpool Prior role: Postdoctoral researcher at University of Manchester Ph.D. institution: IIT Patna Research Interests : Dr. Saha specializes in Machine Learning , Deep Learning , and Natural Language Processing , with a focus on Conversational/Dialogue Systems , AI for Social Good , and Social Media Analysis . Her work explores applications in mental health, educational NLP, and legal chatbots, emphasizing ethical and interpretable AI systems. Research Trends : Her recent publications highlight interdisciplinary approaches combining NLP with mental health analysis, bias mitigation, multi-modal learning, and legal domain applications. Key themes include interpretable models for healthcare and legal systems, fairness in AI, and multi-modal sarcasm detection.

• Human-Centered AI
• Speech Processing
• Multimodal Fusion
• +۳ مورد دیگر

Dr Andrew Abel is a Lecturer at the Department of Computer and Information Sciences, University of Strathclyde, specializing in Human-Centered AI technologies that enhance educational inclusion and accessibility. His work bridges artificial intelligence with multimodal signal processing to address real-world challenges in speech perception and human-computer interaction. Education : PhD in Computer Science (Speech Processing), University of Stirling (2007-2012) Research Focus : Dr Abel leads the Human-centred AI Technologies for Inclusion in Education and Society project (2023-2027), focusing on AI-driven educational accessibility. He also contributed to AV-COGHEAR (2016-2019), developing cognitively-inspired hearing aid technologies that combine audio-visual inputs for speech enhancement. Publications span affective computing, speech reconstruction, multimodal fusion, and educational technologies. Recent works include valence-arousal prediction systems, lightweight lip-to-speech models, and automated programming assessment frameworks. Awards : Strathclyde Chancellor's Fellowship Collaborations : Dr Abel collaborates across biomedical engineering and computer science domains, with emphasis on explainable AI and sustainable educational technologies aligned with UN SDG4 (Quality Education).

• Digital media systems
• Political communication
• Populist rhetoric
• +۵ مورد دیگر

Sina Julia Blassnig is a Full Professor at the Institute of Digital Communication and Media Innovation (IDCMI), University of Fribourg. Her research focuses on digital journalism , populist communication , and news recommender systems . She explores intersections between media systems , AI ethics , and user behavior in digital environments. Research Interests: Digital media systems Political communication Populist rhetoric Algorithmic journalism AI in news production Media effects Projects: Generative Visual AI in Swiss Journalism (FNS-funded, 2026–2030): Examines AI-generated visuals in journalism. Gratis-Abos für Jugendliche (2024–2026): Evaluates free subscription models in Swiss media. Crowding Out (completed 2025): Analyzed SRF News' impact on private media. Labs/Teams: Affiliated with the Medialab and IDCMI , focusing on digital communication innovation.

Blaine Gretemanمشاهده پروفایل

استاد

• Renaissance Literature
• Shakespeare Studies
• John Milton Scholarship
• +۵ مورد دیگر

Blaine Greteman, Ph.D., currently serves as Dean of both the Kendall College of Arts & Sciences and the Honors College at The University of Tulsa , where he is also a Professor of English . A Rhodes Scholar , he earned his doctorate from the University of California, Berkeley after completing his M.Phil. at Oxford and B.A. at Oklahoma State University. Greteman's career bridges academic leadership with teaching, research, and public writing. Education: B.A. (Oklahoma State), M.Phil. (Oxford), Ph.D. (UC Berkeley) Former roles: Chair of University of Iowa’s English Department Greteman's research focuses on Renaissance literature , particularly Shakespeare and Milton , with interests in creative nonfiction writing , book history , and digital humanities . His recent publications examine Andrew Marvell’s poetry through lenses of materiality, networking, and cultural representation. He also writes for popular publications like Slate and The London Review of Books , addressing topics such as AI in education and the value of humanities . Greteman's scholarly work reveals trends in early modern textual networks , ecocritical readings , and postcolonial interpretations of Renaissance poetry, emphasizing interdisciplinary approaches and contemporary relevance. Scientific Awards : Rhodes Scholarship Stanford Humanities Fellowship National Endowment for the Humanities Fellowship As an academic leader, Greteman prioritizes student-centered learning , faculty development , and first-generation student support . He advocates for the liberal arts as essential to democratic society, emphasizing both creative expression and critical innovation . His work in the Honors College continues the tradition of great books seminars that foster student-led intellectual discourse.

• Nonprofit Donor Stewardship
• Corporate Social Responsibility in Sports
• Public Relations Ethics
• +۳ مورد دیگر

Dr. Virginia Harrison serves as an Assistant Professor in the Department of Communication within Clemson University's College of Behavioral, Social and Health Sciences, and holds a Fellowship at the Robert H. Brooks Sports Science Institute. With seven years of professional public relations and fundraising experience prior to earning her Ph.D., she brings practical expertise to her academic role in Strode Tower (Office 406). Her educational foundation includes: Ph.D. in Mass Communications, Pennsylvania State University (2020) M.A. in Media Studies, Pennsylvania State University (2014) Dual B.A. degrees in History and Journalism, Pennsylvania State University (2008) Dr. Harrison's research centers on nonprofit donor stewardship, developing frameworks to define, measure, and ethically implement dialogic stewardship practices that deepen donor engagement. Her secondary focus examines sports organizations' corporate social responsibility initiatives and their impact on stakeholder relationships, particularly how sustainability communication influences fan perceptions. She employs mixed-method approaches analyzing social media dynamics, athlete activism, and CSR partnerships across nonprofit and sports contexts. Her 15 most recent publications (2022-2025) reveal consistent exploration of stewardship theory in nonprofit communications and CSR in sports, appearing in top journals like Public Relations Review , Journal of Public Relations Research , and Communication & Sport . Key thematic threads include emotion-driven donor communication, polarized reactions to sustainability messaging, and athlete-cause alignment dynamics in social advocacy. Her scholarly excellence is recognized through: Excellence in Community and Outreach Award, Department of Communication (2025) Page/Johnson Legacy Scholar Grants for Building Theory (2024) and Sustainability Communication (2022) National Communication Association Outstanding Book Award (2023) Multiple AEJMC paper competition awards including Teaching Paper Competition first place (2021) Dr. Harrison actively develops research capacity through Clemson's NSF CAREER Academy (2025) and maintains strong teaching impact evidenced by the Djung Yune Tchoi Award for Outstanding Teaching (2020). Her mentorship extends through graduate courses in Public Relations Theory and Quantitative Methods, shaping future PR professionals. As a Fellow of both the Robert H. Brooks Sports Science Institute and Lillian Lodge Kopenhaver Center (2022), she collaborates across interdisciplinary teams advancing sports communication and women's leadership initiatives.

Solomon Berheمشاهده پروفایل

استادیار

• Software Engineering
• Software Ecosystems
• Industry 4.0
• +۵ مورد دیگر

Solomon Berhe serves as an Assistant Professor of Computer Science at the University of the Pacific in Stockton, California, with his office located in Chambers 117. Contactable via sberhe@pacific.edu, he brings over two decades of industry software development experience since 2001, including leadership in Industry 4.0 systems for healthcare, automotive, retail, and e-mobility sectors prior to his academic career. His educational background features: Ph.D. in Computer Science and Software Engineering from the University of Connecticut (2011) Dr. Berhe's research centers on data-driven modeling of software ecosystems with emphasis on risk assessment for maintenance efforts and access control-based secure software engineering. His work extends NIST RBAC standards into adaptive workflow models, addressing real-world challenges in Industry 4.0 contexts through empirical studies of update patterns, dependency tracking, and security frameworks. Teaching responsibilities include foundational courses in Software Engineering, Database Systems, and Mobile Application Development. Analysis of his 2020-2025 publications reveals a strategic evolution toward IoT security applications and AI-driven ecosystem analysis, with notable contributions in UML-based security visualization, software update impact triage, and thermal-imaging animal detection systems. This trajectory demonstrates consistent bridging of theoretical models with industrial implementation challenges across healthcare and emerging technology domains. Scientific Awards: No awards or fellowships documented in provided information While specific advisees and active grants are not detailed, his publication record and industry collaborations indicate substantial engagement in graduate mentorship and potential research funding for projects at the software engineering-cybersecurity intersection, particularly in risk modeling for evolving software ecosystems.