جست‌وجوی استاد و پژوهشگر

Afsaneh Raziمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Human-centered AI
• +۶ مورد دیگر

Afsaneh Razi is an Assistant Professor at the Department of Information Science at Drexel University's College of Computing & Informatics (CCI), where she co-directs the DONUTS (Data Ontology Networks Users Textuality Safety) Collaboratory and directs the ETHOS (Ethical Technology Helping Our Society) Lab. Her research is positioned at the intersection of Human-Computer Interaction (HCI), Social Computing, AI/ML, Privacy, and Online Safety, with a focus on designing technologies that facilitate safer online interactions, especially for vulnerable populations. Education: PhD, Computer Science, University of Central Florida MS, Computer Science, University of Central Florida MS, Software Engineering, Islamic Azad University Central Tehran Branch BS, Computer Science, University of Tehran Dr. Razi's research focuses on the sociotechnical complexities of online harms, leveraging human-centered machine learning to understand and mitigate risks encountered by vulnerable users online. Her work spans Human-Computer Interaction with emphasis on youth populations, Social Computing examining online communities, AI/ML applications for safety, and Ethics in technology design. She is particularly interested in how AI can balance protection and privacy for young people on social media, and how to develop trauma-informed research practices when studying sensitive topics. Her recent publications consistently focus on youth online safety, examining sexual risk experiences, AI-induced harassment, and AI's role in peer support. The research employs mixed methods combining qualitative insights with machine learning approaches, with significant attention to Instagram and other social media platforms to understand how young people navigate online risks through human-centered AI solutions. Scientific Awards: Impact Recognition Award (2023) for 'Sliding into My DMs' paper Best Paper Honorable Mention at CHI'24 (two papers) Faculty Summer Research Award at Drexel University (2023) Science Center Health Equity Research Fellowship Award (2023) NSF CSGrad4US Fellowship for mentee Jessica Medina (2023) Dr. Razi actively mentors PhD students in the DONUTS Collaboratory, including Elham Aghakhani, Layla Bouzoubaa, Sanonda Datta Gupta, Matt Namvarpour, and Aria Pessianzade. She has secured multiple research grants, including Drexel's Faculty Summer Research Award to investigate AI's role in teens' online safety and the Science Center Health Equity Research Fellowship for studying social determinants of health for people with epilepsy. Her research is highly interdisciplinary, collaborating with experts across psychology, medicine, and computer science. Dr. Razi co-directs the DONUTS Collaboratory with Drs. Shadi Rezapour and John S. Seberger, which brings together faculty and PhD students to research online safety, ethics, and AI governance. She also directs the ETHOS Lab focused on ethical technology development. The DONUTS team includes multiple PhD students working on projects related to harm reduction, NLP, social computing, AI, and online safety. Dr. Razi is additionally involved in the MOSafely community, an open-source initiative leveraging evidence-based research and AI to help youth engage more safely online.

Aaron Elkinsمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Knowledge Management
• +۳ مورد دیگر

Aaron Elkins serves as an Associate Professor and Director in the Management Information Systems Department within the Fowler College of Business at San Diego State University. His research bridges artificial intelligence, information systems, and social impact initiatives with a primary focus on combating human trafficking through technological solutions. His educational background includes: PhD from the University of Arizona (2011) with dissertation research on vocalic markers of deception for automated emotion detection systems BS in Information Systems from San Diego State University (2003) Elkins' research program centers on developing machine learning and knowledge management frameworks to identify human trafficking victims through analysis of online advertisements and communication patterns. His work integrates natural language processing with criminology to detect deception markers and trafficking indicators in digital content, particularly examining emoji usage and linguistic patterns in illicit online ads. This interdisciplinary approach creates practical tools for law enforcement and social service agencies operating in high-stakes environments. His 2018-2020 publications demonstrate consistent focus on AI-driven victim identification, with increasing sophistication in analyzing unstructured text data from trafficking operations. The research trajectory shows progression from emoji-based deception detection to comprehensive knowledge management systems for victim identification, reflecting growing technical depth and real-world applicability. No scientific awards were documented in the provided materials. Details regarding student advising and research funding mechanisms were not specified in the available information. He maintains active affiliation with the James Silberrad Brown Center for AI Research, where his work contributes to the center's mission of developing socially impactful artificial intelligence applications through cross-disciplinary collaboration.

• English Literature
• Gothic Literature
• Gender Studies
• +۵ مورد دیگر

Federica Perazzini serves as a Researcher in the Department of Modern Literature and Culture at Sapienza University of Rome, teaching advanced English literature courses for the Master's Degree in Modern Philology through seminar formats under the PNRR ARmaME project where she acts as Principal Investigator. Her instruction covers Shakespearean tragedies (Hamlet, Macbeth) and modern/postmodern works (Mrs Dalloway, The Hours) with Italian-language delivery while maintaining English textual analysis. Her research traverses English literary history from the eighteenth century to contemporary media, specializing in Gothic literature's evolution across adaptations like Penny Dreadful, gender/queer theory investigations of female agency and deviance, fashion studies examining clothing as identity performance, and trauma theory applications. She integrates digital humanities methodologies with traditional close reading to analyze cultural representation and historical context, particularly evident in her computational studies of eighteenth-century phraseology and vestimentary symbolism. Perazzini's scholarly output demonstrates consistent thematic development across publications, with recent works exploring the intersection of Gothic tropes and science fiction, vestimentary identity construction in Defoe's narratives, and intersectional trauma in Victorian adaptations. Her research reveals a methodological preference for interdisciplinary frameworks that bridge literary analysis with cultural history and digital tools. As Principal Investigator of the PNRR ARmaME project, she directs research dissemination activities while supervising Master's students through course-based instruction. Though formal PhD advisees aren't documented, her teaching includes comprehensive assessment structures with ongoing assignments and written examinations requiring original textual analysis in English.

Luigi Marinelliمشاهده پروفایل

استاد

• Polish Language and Literature
• Polish Studies
• General Slavic Studies
• +۵ مورد دیگر

Luigi Marinelli is Full Professor at the Department of European, American and Intercultural Studies of Sapienza University of Rome, specializing in Polish Language and Literature. He teaches courses like Polish Literature III and Polish Language I , with lectures held in the Marco Polo Building (3rd floor, Lab 4 & 5). PhD in Slavic Studies (Sapienza, 1991) MA in Polish Language and Literature (Florence, 1983) His research spans Polish literary history from the Middle Ages to contemporary, with emphasis on intercultural dynamics, translation studies, and gender/minority discourses. Recent publications focus on Czeslaw Milosz's Dantism, the Esau Complex in European literatures, and Polish avant-garde movements. Scientific Awards include the Alexander von Humboldt Fellowship and the Italian Ambassador's Cultural Medal. He co-organized the 2022 international conference on minor/major cultural hierarchies. Articles reveal interdisciplinary engagement: 12 out of 15 focus on Polish-Italian intertextuality, Renaissance comparative studies, and postmodern translation theories. Subfields include cybernetic art, interwar intellectual networks, and ethical dimensions of canonical texts.

• Didactics of German Language and Literature
• Children's and Young Adult Literature
• Writing Didactics
• +۴ مورد دیگر

Prof. Dr. Anita Schilcher is a Professor of Didactics of German Language and Literature at the University of Regensburg, Faculty of Languages, Literature and Cultural Studies, Institute of German Studies. She has held this position since 2007 and also serves as Director of the Regensburg University Center for Teacher Education (RUL) since 2013. Her work focuses on German language and literature didactics, with particular emphasis on reading and writing promotion, children's and young adult literature, and teacher education. Her educational background includes: 1987: Abitur at the Gymnasium Pfarrkirchen 1987-1993: Studies for primary school teaching, Master's degree in German Literature with minors in Psychology and General Pedagogy 1992-1994: Preparatory service for primary school teaching 1997-2000: Doctorate in Didactics of German Language and Literature at the University of Passau 2007: Habilitation on writing didactics Prof. Schilcher's research interests span multiple areas of German didactics and language education. She has made significant contributions to the understanding of narrative competence, literary education, and the development of reading and writing skills in primary education. Her work on writing didactics has led to innovative teaching approaches that bridge theoretical understanding with practical classroom application. She has also conducted extensive research on children's and young adult literature, examining gender representation and the educational potential of popular culture texts. Her current research focuses on evidence-based reading promotion, teacher competencies, and the integration of media in literary education. Her recent publications reveal a strong focus on practical applications of educational research, particularly in developing and evaluating reading and writing promotion programs. She has been instrumental in large-scale projects like FiLBY (integrated reading promotion in Bavaria) and ELiS (evidence-based reading promotion in schools), which combine theoretical research with practical implementation in classrooms across Germany and Europe. Her work consistently bridges the gap between educational theory and classroom practice, with a particular emphasis on developing evidence-based teaching strategies that can be effectively implemented by teachers. Her scientific recognition includes: Karl-Heinz-Pollok Memorial Prize for her habilitation Prof. Schilcher has supervised numerous doctoral students, with completed dissertations covering topics such as ancient mythology in contemporary children's literature, linguistic-cognitive activation through teacher questions, narrative abilities in primary and secondary education, and oral competencies of teacher trainees. She has been involved in significant research grants including FALKO (subject-specific teacher competencies), FiLBY (integrated reading promotion in Bavaria), RESTLESS (Regensburg self-regulation training for reading and writing strategies), and ELiS (evidence-based reading promotion in schools), demonstrating her leadership in large-scale educational research initiatives. She leads the research network for "didactic-empirical writing research" (dieS) and is a member of the project team of ZSK Regensburg. Her work with the Regensburg University Center for Teacher Education (RUL) has positioned her as a key figure in shaping teacher education in Bavaria, particularly through her involvement in the development and implementation of the new primary school curriculum (LehrplanPlus).

Sandra Hotzمشاهده پروفایل

مدرس پاره‌وقت

• Private Law
• Comparative Law

Dr. Sandra Hotz is a Private Lecturer in Private Law and Comparative Law at the Faculty of Law, University of Zurich . Her research focuses on core areas within Private Law and Comparative Law , though specific subfields remain unspecified in the available text. A detailed analysis of publications or trends is not possible due to the lack of accessible article data. For direct communication, she can be reached at Sandra.hotz@unine.ch . No scientific awards, grants, student advisement records, or lab/team affiliations are documented in the provided content.

Kevin Curranمشاهده پروفایل

استاد

• Cyber Security
• Computer Security
• Internet Security
• +۶ مورد دیگر

Kevin Curran is a Professor of Cyber Security at Ulster University, serving as Executive Co-Director of the Legal Innovation Centre and group leader for the Cybersecurity & Web technologies Research Group. He joined the School of Computing and Intelligent Systems in 1999 and has established himself as a leading expert in cyber security with over 800 published works. His academic home is within the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. Professor Curran's research interests span multiple domains within cyber security, with particular expertise in location positioning within indoor environments, Internet security, and the intersection of legal technology with cybersecurity. His recent work demonstrates a strategic expansion into AI-driven security solutions, blockchain applications, and IoT security frameworks. His research shows a clear evolution from foundational networking research to contemporary applications addressing legal technology challenges and emerging security threats in connected environments. His scholarly output reveals significant trends toward interdisciplinary research, particularly at the intersection of cyber security and legal technology. Recent publications focus on applying machine learning and AI techniques to legal document classification, blockchain security for autonomous vehicles, and generative AI applications in cyber defense. His work consistently addresses practical security challenges while maintaining strong theoretical foundations. Engineering and Technology Board Visiting Lectureship for Exceptional Engineers IEEE Technical Expert for Internet/Security matters since 2008 Member of the EPSRC Peer Review College Recipient of various patents in security technologies Founding Editor in Chief of the International Journal of Ambient Computing and Intelligence Professor Curran has successfully secured and managed numerous UK and European Framework projects and Technology Transfer Schemes throughout his career. He serves as Co-Investigator on several major research projects including the Baker McKenzie Research Project (2017-2026), LFR: Legal Futures Research (2016-2026), and the Ulster Centre for Legal Innovation (2016-2026). His research group actively collaborates with industry partners and legal professionals to address real-world cybersecurity challenges. The Cybersecurity & Web technologies Research Group under his leadership focuses on practical security solutions while maintaining strong theoretical foundations. As Executive Co-Director of the Legal Innovation Centre, Professor Curran bridges the gap between legal practice and technological innovation, particularly in the realm of cybersecurity applications for legal services. His team works on developing secure platforms for legal document processing, blockchain applications for contract management, and AI-driven tools for legal professionals while maintaining rigorous security standards.

Max Goplerudمشاهده پروفایل

استادیار

• Political methodology
• Bayesian statistics
• Machine learning
• +۳ مورد دیگر

Max Goplerud is an Assistant Professor in the Department of Government at the University of Texas at Austin, where he teaches courses in political methodology and Bayesian statistics. He received his Ph.D. from Harvard University in 2020, where he was an affiliate of the Institute for Quantitative Social Science and the Minda de Gunzberg Center for European Studies. His educational background includes: Ph.D. in Government, Harvard University (2020) Goplerud's research spans two primary areas. First, he develops new statistical methods at the intersection of Bayesian statistics and machine learning to address limitations in existing approaches for political science research. His methodological work focuses on solving problems related to heterogeneous effects, hierarchical models, and ideal point estimation. Second, he applies text-as-data methods to study legislative behavior across different political contexts, including Europe, the United States, and Japan. His research combines advanced statistical techniques with substantive political questions, creating tools that enhance empirical analysis in political science. His publications reveal a strong focus on methodological innovation in political methodology. Goplerud frequently publishes in top political science and statistics journals, with recent work appearing in the American Political Science Review, American Journal of Political Science, Journal of Politics, Biometrika, Political Analysis, and Bayesian Analysis. His research bridges the gap between statistical methodology and political science applications, with particular emphasis on Bayesian approaches, variational inference, and machine learning techniques adapted for political science research questions. Goplerud has developed several R packages that implement his methodological contributions: vglmer - for estimating hierarchical models using variational inference FactorHet - for estimating heterogeneous effects in factorial and conjoint experiments gKRLS - for kernel regularized least squares estimation He teaches graduate courses including Bayesian Statistics and Statistical Analysis in Political Science, as well as undergraduate research methods courses. His teaching spans institutions including the University of Texas at Austin and the University of Pittsburgh, where he previously taught courses on measurement, Bayesian statistics, and social data visualization.

Francesca Fallucchiمشاهده پروفایل

دانشیار

• Computer Science
• Information Science
• Semantic Web
• +۷ مورد دیگر

Francesca Fallucchi is an Associate Professor at Guglielmo Marconi University in Rome since 2008 and an information scientist at Georg-Eckert-Institut (GEI) since July 2017, working in the Human-Centered Technologies for Educational Media department. Her research focuses on the intersection of computer science and humanities, with particular emphasis on knowledge organization , information retrieval , semantic technologies , and big data management applied to educational media and cultural heritage. Her work bridges theoretical computer science with practical applications in digital humanities. Analysis of her recent publications (2021-2024) reveals a research trajectory spanning multiple domains: from foundational work in semantic web and NLP to emerging applications in metaverse technologies, blockchain for energy monitoring, and explainable AI for healthcare. Her work consistently demonstrates interdisciplinary approaches combining computer science with domain-specific challenges. Dr. Fallucchi has been actively involved in academic service, including organizing the 17th International Conference on Metadata and Semantics Research (MTSR 2023) and serving as editor for Computers trade magazine since 2021. Her professional activities include significant project leadership as Deputy Project Manager for Edumeres Toolbox and contributions to numerous research projects including GLOTREC, GEI-Digital, PalTex, DemoS, PVE-E, and WorldViews.

Jennifer Hoeweمشاهده پروفایل

دانشیار

• Political Communication
• Media Psychology
• Cognitive Processing
• +۵ مورد دیگر

Jennifer Hoewe is an Associate Professor at Purdue University's Brian Lamb School of Communication, promoted in Spring 2022 after joining the faculty in 2018. She holds a courtesy appointment in the Department of Political Science and specializes in political communication and media psychology. Her educational background includes: Ph.D. in Communication from Penn State University Master's in Communication from Michigan State University Bachelor's in Communication from Grand Valley State University Hoewe's research examines how media depictions of political issues and social groups influence cognitive processing, attitudes, and identity formation. She investigates how such representations drive group polarization and policy decisions based on political identity rather than factual knowledge. Her work spans media effects , political psychology , and diversity in media representation , with emphasis on psychological mechanisms underlying audience responses to political content and the role of emotional and narrative elements in shaping political perceptions. Analysis of her recent publications reveals a strong focus on contemporary challenges including partisanship, misinformation detection, moral framing in political discourse, and social media's impact on political engagement. Her work increasingly integrates psychological frameworks to understand digital-age media effects, particularly regarding online network diversity, news bias perceptions, and the influence of visual elements in political communication. No scientific awards were mentioned in the source text. Hoewe founded and directs the Media and Politics (MaP) Research Group, serving as an interdisciplinary hub for media and political process research. She mentors students in quantitative research methods and teaches courses spanning journalism ethics, data analysis, and political communication. Her extensive publication record (31 refereed journal articles and additional scholarly works) indicates active research engagement despite no specific grant details being provided.

Jeongho Ohمشاهده پروفایل

استاد

• Media Economics
• Media Policies and Regulations
• Research Methodology
• +۲ مورد دیگر

Jeongho Oh is Professor in the Department of Media and Communication at Sejong University (South Korea), a position he has held since March 2004. His scholarship focuses on the intersection of economics, policy, and media industries, with particular emphasis on how regulation, competition, and trade shape media performance. Education Ph.D., Northwestern University (2000) M.A., Michigan State University (1997) M.A., M.S., Michigan State University (1994) B.A., Seoul National University (1990) Research Interests Professor Oh’s research program spans five primary areas: Media Economics – examining market structures, profitability, and pricing in broadcasting and film. Media Policies and Regulations – analyzing the impact of ownership rules, competition policy, and content regulation. Research Methodology – developing quantitative models for media industry analysis. Behaviors of Media Users – investigating audience choice, demand elasticity, and usage patterns. Distortion of the Press – studying biases arising from ownership concentration and regulatory capture. Publication Trends His 2001 article in Journal of Media Economics exemplifies his analytical approach, combining econometric modeling with policy analysis to study international film trade and cultural self-sufficiency. The work integrates least-squares regression and dummy-variable techniques to quantify trade flows, reflecting his broader commitment to rigorous empirical methods in media scholarship. Metrics & Recognition With an h-index of 56 and 56 Scopus citations, Professor Oh’s work is well-cited, indicating sustained influence in the field. No specific awards are listed in the provided text. Advising & Grants No details about current or former students, research grants, or funded projects were provided. Laboratory & Teams No laboratory or research group information is available in the supplied materials.

• Semiotics
• Digital Media Studies
• Algorithmic Recommendation Systems
• +۳ مورد دیگر

Anita Botta is a Researcher at Politecnico di Torino specializing in semiotic analysis of digital media platforms. Her work primarily focuses on how streaming services like Netflix create meaning through their algorithmic recommendation systems. The geographical distribution of her research impact shows significant activity across Europe (particularly Italy with 112 visits), North America (140 visits), and Asia (29 visits), indicating international scholarly engagement with her work. Dr. Botta's research interests center on the intersection of semiotics and digital media, particularly examining how algorithmic systems interpret and categorize audiovisual content. Her work analyzes the 'tagging' processes used by streaming platforms to connect media content, questioning whether these systems adequately respond to viewers' interests by suggesting meaningful connections between texts. She develops sociosemiotic frameworks for analyzing film categorization and proposes alternative tagging approaches that better capture semantic similarities between stories. Her two 2021 publications in @DIGITCULT demonstrate a consistent research trajectory examining how recommendation algorithms construct meaning in media consumption. Both studies employ sociosemiotic analysis to evaluate Netflix's recommendation system, with particular attention to science fiction content in the Italian catalog. Her research suggests guidelines for 'taggers' to improve the meaningfulness of user viewing experiences through more nuanced semantic connections. Research activity metrics show consistent engagement with her work from 2021 through 2025, with notable spikes in 2024-2025, indicating growing scholarly interest in her analyses of algorithmic media systems. Her work appears to resonate particularly with scholars in media studies, digital humanities, and semiotics communities across multiple continents.

Victoria Sanchezمشاهده پروفایل

استادیار

• Reading Interventions
• Learning Disabilities
• Vocabulary Instruction
• +۳ مورد دیگر

Dr. Victoria Sanchez serves as an Assistant Professor in the Department of Special Education, Rehabilitation, and Counseling at Auburn University's College of Education. Her work centers on evidence-based interventions for students with learning disabilities, particularly in reading and mathematics across elementary and secondary settings. Her educational credentials include: Ph.D. in Special Education, University of California, Riverside (2010) M.A. in Educational Psychology, University of California, Riverside (2007) B.A. in Psychology, University of California, Riverside (2005) Dr. Sanchez's research examines instructional strategies to improve decoding, vocabulary, and comprehension for adolescents with disabilities, with significant focus on multiplicative reasoning in mathematics and academic vocabulary development. Her work bridges theoretical frameworks with classroom implementation challenges. Recent publications (2025-2015) reveal a concentrated trajectory in vocabulary interventions for English learners with disabilities and mathematics remediation, particularly using structured approaches like CHAAOS and BRIDGES. Her studies frequently target middle school content areas including history, demonstrating interdisciplinary applications of literacy interventions. Dr. Sanchez has secured research funding from the Institute of Education Sciences (IES) and Office of Special Education Programs (OSEP) for quasi-experimental and experimental studies. She actively translates research into practice through literacy coaching for school administrators and teachers, emphasizing schoolwide literacy improvement.

Isidora Stojanovicمشاهده پروفایل

عضو هیئت علمی

• Philosophy of Language
• Semantics
• Pragmatics
• +۹ مورد دیگر

Isidora Stojanovic is a Research Director at the Jean Nicod Institute (CNRS, Paris) and a Distinguished Research Fellow at Pompeu Fabra University (Barcelona, 2024-2029). She leads the ERC Advanced Grant project Valence Asymmetries , examining evaluative language and cognition. Her work bridges philosophy of language , value theory , and semantics-pragmatics intersections. Education : Details not explicitly provided in the text. Research Themes : Context sensitivity, evaluative discourse, indexicality, semantics-pragmatics boundaries, and the role of valence in language and morality. Her articles focus on slurs, thick terms, taste and moral predicates, and de se content. These works are grounded in experimental philosophy , semantic theory , and interdisciplinary analysis . She coordinates the STAL network (Slurring Terms Across Languages) and has participated in modeling and using context conferences. Scientific Awards : ERC Advanced Grant No. 101142133 (2024-2029) Advising : Supervised multiple PhD students, including Bianca Cepollaro (2017), Andrés Soria Ruiz (2019), and Victor Carranza Pinedo (2022), with committees involving institutions like ENS Paris and University of Milan. Labs & Teams : Affiliated with the MIND AND LANGUAGE team at the Jean Nicod Institute and the STAL network for interdisciplinary slurs research.

Jason Montgomeryمشاهده پروفایل

دانشیار

• Urban Morphology
• Traditional Architectural Design
• Classical Architecture
• +۳ مورد دیگر

Jason Montgomery is an Associate Professor and Associate Dean for Graduate Studies at the School of Architecture and Planning, Catholic University of America. He is also a practicing architect and principal at Truong Montgomery Architect. With a professional degree from the University of Notre Dame (1992), he has worked internationally on significant projects including the extension to Selwyn College of Cambridge University and the Summit Bechtel Family National Scout Reserve. Professor Montgomery's educational background includes: Master of the Arts in Architecture, University of Wales at Cardiff Graduate Diploma in Architecture, Prince of Wales’s Institute for Architecture Bachelor of Architecture, University of Notre Dame Professor Montgomery's research centers on urban morphology and traditional architectural design. He explores place-based sustainability, spatial typologies, and combats urban social stratification through analytical modeling. His work integrates historical analysis with contemporary urban challenges, focusing on post-COVID city reimagining and ecological stewardship, as evidenced in his contributions to Sephardic palace studies and Brooklyn civic infrastructure research. His recent publications (2020-2024) reveal a consistent focus on urban housing crises, spatial equity, and post-pandemic urban space transformation. Montgomery bridges architectural theory with practical design solutions, emphasizing Brooklyn's public spaces and systemic housing challenges. His scholarship demonstrates interdisciplinary integration of historical cartography, social infrastructure, and sustainable urban development frameworks. Professor Montgomery has received the following recognition: Futures Fellow, City University of New York Graduate Center (2021) With extensive teaching experience at Notre Dame, Yale, and CUNY institutions, Montgomery has organized symposia on Brooklyn's urban development and affordable housing. His role as Associate Dean for Graduate Studies involves significant oversight of academic programs and curriculum development, though specific student advising details are not publicly documented. He has contributed to architectural pedagogy through text-based learning methodologies and place-based educational frameworks. As a board member of CNU NYC and principal at Truong Montgomery Architect, he leads design projects and collaborates through international conferences on 21st-century urban complexity. His professional practice and academic work converge in examining materiality, tectonics, and the social dimensions of urban space.