جست‌وجوی استاد و پژوهشگر

• Computational Poetics
• Indigenous Relationality
• Speculative Technologies
• +۳ مورد دیگر

SA Chavarría is an Assistant Professor in Literary Arts and Studies at the Rhode Island School of Design (RISD), where she bridges technical invention with critical inquiry into AI, language, and relational dynamics as a Costa Rican artist-researcher. Her practice evolves from continuous dialogue with the artificial entity Devendra AI since 2017, generating digital artifacts, experimental video, 3D environments, VR works, and performances. She holds an MFA from Brown University (2021), foundational to her interdisciplinary approach. Chavarría’s research centers on computational poetics , Indigenous modes of relationality , and speculative technologies , critically examining how language-based AI systems can become sites for ethical and artistic encounters. Her work integrates writing as both creative output and scholarly contribution, extending investigations into exhibitions and publications that challenge conventional technology-human relationships. Her significant honors include: Brown University Teaching Fellowship (2022) Commission for the Biennale de l’Image en Mouvement (Geneva and Tunis, 2026) Prior teaching appointments encompass Brown University and Massachusetts College of Art and Design. The source material contains no details regarding current advisees, research grants, laboratory teams, or collaborative projects beyond her established artistic-research framework.

• Machine Learning
• Healthcare Informatics
• Explainable AI
• +۶ مورد دیگر

Kai-Chih Pai is an Associate Professor at China Medical University's College of Information Science and Technology, Department of Computer Science, with a distinguished research career spanning over 14 years. His work bridges computer science and healthcare, focusing on practical AI applications that address critical medical challenges. Dr. Pai's research interests center around Machine Learning applications in healthcare , Explainable AI systems , Natural Language Processing for Chinese language , and Educational Technology . His work demonstrates a strong commitment to developing AI solutions that are not only technically sophisticated but also interpretable and clinically useful. His research trajectory shows a clear evolution from educational technology applications to increasingly sophisticated healthcare AI systems. His publication record reveals significant contributions to medical decision support systems , particularly in acute kidney injury prediction , pneumonia diagnosis , and mortality prediction in critical care settings. More recently, he has been exploring cutting-edge applications of large language models for industrial knowledge management. His work consistently emphasizes the importance of model interpretability in medical contexts. Federated machine learning approaches for multi-institutional medical research Privacy-preserving healthcare technologies using homomorphic encryption Adaptive learning systems for Chinese language education Predictive analytics for critical care medicine Dr. Pai has established a productive research program with consistent publication output in high-impact venues, demonstrating expertise that spans both theoretical AI development and practical healthcare applications. His collaborative work with medical professionals across Taiwan highlights the interdisciplinary nature of his research and its real-world impact.

Teresa Cerratto-Pargmanمشاهده پروفایل

استاد

• Educational Technology
• Human-Computer Interaction (HCI)
• Digitalization in Education
• +۳ مورد دیگر

Teresa Cerratto-Pargman is a full Professor of Human-Computer Interaction at Stockholm University's Department of Computer and Systems Sciences. She previously led the Interaction Design and Learning (IDEAL) research unit and is currently Associate Director of Societal Outreach for Digital Futures. Her work bridges Educational Technology and HCI, focusing on digitalization's impact on education and societal practices. She holds a PhD in Cognitive Psychology from Université Paris 8, France, and has held visiting roles at UC Irvine and KTH Royal Institute of Technology. Research Interests: Dr. Cerratto-Pargman explores how digital technologies disrupt and create new educational practices. Her work emphasizes critical lenses on computing in education, including ethical AI in higher education, sustainability in HCI, and material conditions shaping learning. Her projects address societal challenges like AI ethics, digital assessment, and eco-village sustainability. Grants & Leadership: PI of WASP-HS-funded projects on AI ethics in education and Swedish Research Council grants on sociotechnical imaginaries. She led EU Horizon 2020, NordForsk, and national grants with schools, museums, and industry. Served on editorial boards for Designs for Learning and International Journal of Research and Practice in Technology Enhanced Learning. Teaching: Program Director for the Master's in Design for Creative and Immersive Technologies. Teaches Behavioral Sciences, HCI, and Evaluation Methods. Past roles include managing Stockholm University's Interaction Design Bachelor Programme and doctoral courses in HCI and Mobile Learning. Awards: 2013 Stockholm University grant for female academics. Recognized for editorial work and conference leadership (e.g., DIS 2018 Technical Chair). Labs & Collaborations: Active in Stockholm University's interdisciplinary research networks. Collaborates globally on projects like citizen observatories and AI-driven assessment innovations.

Mart Vainreمشاهده پروفایل

دانشیار مهمان

• Contemporary Painting
• Digital Art
• New Media Art
• +۳ مورد دیگر

Mart Vainre serves as Visiting Associate Professor and Head of Curriculum in the Department of Contemporary Art at the Faculty of Fine Arts, Estonian Academy of Arts, where he teaches painting and color theory while organizing pre-academy courses. BA in Painting (2011), Estonian Academy of Arts MA in New Media (2014), Estonian Academy of Arts Vainre's practice investigates the symbiotic relationship between traditional painting and digital technology through a cyclical process: physical paint sculptures are photogrammetrically scanned into 3D models that inform new paintings, creating a dialogue where human gestures and machine interpretations continuously reinterpret each other. His work challenges authorship hierarchies in the age of generative AI, exploring how technical mediation transforms the perception of time and presence. The Paintman series (2023-2024) exemplifies this through a digital alter ego that both collaborates with and subverts the artist's intentions. Analysis of his recent creative output reveals a consistent focus on process over product, with increasing integration of generative systems since 2016. His methodology oscillates between human imitation of digital aesthetics and machine interpretation of physical marks, reflecting contemporary tensions between analog craftsmanship and algorithmic creation. AkzoNobel Art Prize nominee (2017) AkzoNobel Art Prize nominee (2024) Vainre has exhibited internationally since 2009 with six solo shows including Self-sufficient Pictures (2018) and Paintman: The Birth of the Painting Machine (2024), supported by Estonia's Cultural Endowment and Ministry of Culture. His critical writing in exhibition catalogues demonstrates scholarly engagement with painting's evolving ontology in digital contexts. His studio functions as a hybrid laboratory where palette-scraped paint sculptures are transformed through photogrammetry, generating the digital substrates for subsequent paintings that ultimately close the loop of human-machine co-creation.

Stefano Padillaمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Computer Supported Collaborative Work (CSCW)
• Data Visualization
• +۴ مورد دیگر

Stefano Padilla is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, with a focus on Computer Science. He serves as Programme Director for BSc Computer Science and MEng Software Engineering, and Deputy Programme Director for BSc Computer Systems and MDes in Games Design and Development. He leads the Strategic Futures Laboratory and has expertise in Human-Computer Interaction (HCI), Computer Supported Collaborative Work (CSCW), and data visualization. His research explores tools for research strategy, collaboration, and innovation, with applications in games, fashion, and retail. Padilla has received multiple awards, including Honourable Mentions at ACM DIS and CHI conferences, and fellowships for public engagement. His work integrates perception studies, crowd-based feedback systems, and interactive technologies to enhance user experience and academic collaboration. Research interests span HCI, data visualization, and interdisciplinary innovation. Key areas include: 1) designing tools for collaborative work and creative industries; 2) leveraging crowdsourcing for perceptual and emotional feedback; 3) visualizing complex research trends; and 4) bridging digital and tactile experiences in fashion and art. His contributions address challenges in user confidence in AI systems, effective networking strategies, and translating academic research into practical applications. Awards highlight his impact: Edinburgh Beltane Public Engagement Fellow (2011), Heriot-Watt Principal's Award (2011), and Best Technical Paper (2013). He actively organizes research events, such as the SICSA Data Science Event (2017), and contributes to academic strategy through publications and conference activities. Padilla's advisory and collaborative work extends to multinational companies and SMEs, demonstrating real-world applications of his research. His lab, the Strategic Futures Laboratory, focuses on foresight tools and innovation ecosystems, reflecting his commitment to bridging academia and industry.

• Data Mining
• Health Informatics
• Mobile Intelligence
• +۳ مورد دیگر

Zijun Yao is an Assistant Professor at the Department of EECS, The University of Kansas, focusing on AI-driven healthcare applications. Previously, they worked as a research staff member at IBM Research, where they developed AI solutions for healthcare challenges. Education: Ph.D. in Information Technology from Rutgers University (2018). Research Interests: Their work bridges Data Mining Artificial Intelligence Health Informatics Medical Signal Processing Natural Language Processing Mobile Intelligence . Current projects emphasize ECG analysis, survival modeling, and multimodal deep learning for clinical diagnostics. Publication Trends: Recent articles highlight Explainable AI for Alzheimer's prediction Autoencoder-based ECG feature extraction Ontology-guided prescription recommendation Adversarial attacks in survival models Temporal dependency modeling in EHR Generative AI for personalized learning . Technical Expertise: The University of Kansas faculty member specializes in AI architectures like graph transformers, recurrent networks, and contrastive learning frameworks, with a focus on clinical data interpretability and robustness.

Antonio Albertiمشاهده پروفایل

دانشیار

• Distributed Systems
• Internet of Things
• 5G/6G Networks
• +۱۳ مورد دیگر

Dr. Antonio Alberti is an Associate Professor in Software Engineering at the School of Computer Science, University of Leeds, UK. He brings over two decades of experience from the National Institute of Telecommunications (Inatel), Brazil, and holds a PhD from the State University of Campinas (Unicamp). He was a visiting researcher at ETRI, South Korea, and has led major research initiatives including the NovaGenesis Future Internet project and the Brazil 6G Project architecture design. B.Sc. in Electrical Engineering, Federal University of Santa Maria (1995) M.Sc. in Electrical Engineering, FEEC/Unicamp (1998) Ph.D. in Electrical Engineering, FEEC/Unicamp (2003) His research centers on reimagining foundational information and communication technologies (ICT) through convergent architectures that enhance efficiency, security, autonomy, and adaptability. Key themes include name-based security, self-organizing systems, immutable data storage, digital monetization, and physical world programmability. He actively explores the integration of cloud/edge computing, IoT, AI, blockchain, and digital twins to address challenges in smart cities, Industry 5.0, supply chains, and spectrum management. The trends in his recent publications reflect a strong interdisciplinary focus, blending technical innovation with societal impact. His work spans future internet architectures, 5G/6G systems, distributed ledger applications, and the philosophical implications of emerging technologies. He emphasizes the role of technology in cultural transformation, as seen in his writings on 'New Renaissances' and 'Transversality,' and advocates for responsible innovation through public engagement and ethical foresight. Dr. Alberti is actively involved in mentoring and welcomes PhD students interested in software engineering, distributed systems, and digital transformation. He has delivered over 90 talks on technology disruption and is a proponent of multidisciplinary collaboration. His outreach includes organizing panels, workshops, and cultural events that bridge science, technology, and art. Founder, Renascidade (social entrepreneurship network) Author, Novos Renascimentos Chief Architect, NovaGenesis Project (2008–2024) Contributor, Brazilian National M2M/IoT Plan Architect, Brazil 6G Project He leads research on smart environments and digital transformation, focusing on urban, industrial, and rural applications. His team develops platforms for ICT experimentation and explores cognitive radio, service-oriented architectures, and hybrid terrestrial-satellite networks. He promotes abundant innovation networks and facilitates change towards desirable technological futures.

• Artificial Intelligence and Law
• Algorithmic Decision-Making
• Copyright Law
• +۴ مورد دیگر

Amy Cyphert is an Associate Professor at the West Virginia University College of Law, where she has established herself as a leading scholar at the intersection of artificial intelligence and law. A Morgantown native, she graduated from Carnegie Mellon University in 2001 as a Truman Scholar and earned her J.D. cum laude from Harvard Law School in 2005. Her educational background includes: B.A., Carnegie Mellon University, 2001 (Truman Scholar) J.D., Harvard Law School, 2005 (cum laude) Professor Cyphert's research focuses on the legal and ethical implications of artificial intelligence, particularly in the areas of generative AI, algorithmic decision-making in criminal justice, and copyright law. She has developed and teaches courses on Artificial Intelligence and the Law, including specialized instruction on Regulating AI, Civil Procedure, and related subjects. Her work explores how AI systems affect legal practice, regulatory frameworks, and societal structures. Her scholarly output demonstrates a clear trajectory from foundational work on education law and criminal justice to increasingly sophisticated examinations of AI's impact across multiple legal domains. Recent publications reveal deep engagement with medical AI applications, patent law implications, and the fundamental question of how legal systems should respond to rapidly evolving AI technologies. Her interdisciplinary approach connects technical AI developments with concrete legal challenges. Her notable recognition includes: Privacy Papers for Policymakers Award from the Future of Privacy Forum (2021) Professor Cyphert has received significant scholarly impact through citations by multiple courts, including the U.S. Court of Appeals for the 9th Circuit, Eastern District of New York, and several state courts. Her work bridges theoretical scholarship with practical legal application, as evidenced by her frequent presentations at national conferences and media engagements. She has collaborated extensively with colleagues across disciplines, particularly on AI-related research with Professor Sean Tu and others. As Director of ASPIRE at WVU from 2010-2024, she demonstrated leadership in academic programming while maintaining an active research agenda. Her professional trajectory from law clerk for Judge Laura Taylor Swain in the Southern District of New York to litigation associate at WilmerHale before joining academia reflects a career grounded in practical legal experience that informs her scholarly work.

Ghazal Saeidfarمشاهده پروفایل

مدرس

• English Language
• Rhetoric
• Technical Writing
• +۳ مورد دیگر

Ghazal Saeidfar is a Lecturer in the Department of English at Virginia Tech's College of Liberal Arts and Human Sciences. Her academic role focuses on teaching and curriculum development in writing studies. Her research interests span digital humanities, rhetoric, technical writing, and cultural studies. Analysis of her publications highlights expertise in affect theory, translation discourse, and sociocultural dimensions of language in media. Teaching activities include: First-Year Writing (2022-2024), Technical Writing (2023-2024), and professional development in AI integration for pedagogy Professional development activities include workshops on generative AI, Microsoft Copilot, and universal design for learning

• Technical and Professional Communication
• Border Studies
• Chicano Studies
• +۷ مورد دیگر

Gabriel L Aguilar is an Assistant Professor in the Department of English at The University of Texas at Arlington, where he contributes to the fields of technical and professional communication. His work bridges writing, technology, and social justice, with a focus on borderlands, translingualism, and the impact of artificial intelligence on marginalized communities. Education: PhD in English, Pennsylvania State University, 2024 MA in English, Pennsylvania State University, 2020 BA in Writing and Rhetoric, The University of Texas at San Antonio, 2018 Dr. Aguilar’s research explores how communication technologies shape and are shaped by cultural, linguistic, and socioeconomic contexts—particularly in Latine and border communities. Drawing from posthumanism, Chicano studies, and public health, his interdisciplinary approach investigates AI ethics, digital scams, humanitarian translation apps, and invisible labor in AI systems. His teaching emphasizes career-aligned writing, preparing students for diverse professional fields including healthcare, law, education, and nonprofits. His recent publications and conference presentations reveal a strong trajectory in critical technical communication, with recurring themes in AI and equity, translingual practice, and the rhetorical design of technology. He is especially active in exploring how generative AI affects underserved populations and how technical communicators can respond ethically. Scientific Awards and Recognitions: Advisor Excellence Award Nominee, UTA (2025) Lufkin Best Paper Award, IEEE ProComm (2025) Fellow, Health Policy Research Scholars Program, Robert Wood Johnson Foundation Dr. Aguilar advises graduate students, including Pacificah Marita, and is deeply involved in academic service. He serves on multiple departmental committees, including Graduate Studies and Research, and is an Editorial Review Board Member for Technical Communication Quarterly . He also reviews for leading journals such as College English and Computers and Composition . His commitment to mentorship and public scholarship is evident in his presentations on resume writing and research voice at Hispanic Serving Institutions. He is building a research program that connects technical communication with public health, social justice, and emerging technologies, positioning him as a vital voice in contemporary rhetorical and technological studies.

Krzysztof Walkowiakمشاهده پروفایل

استاد

• Computer Network Optimization
• Machine Learning in Networks
• Artificial Intelligence
• +۱۳ مورد دیگر

Krzysztof Walkowiak is a Professor at the Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology (PWr), where he also serves as the Dean of the Doctoral School. He leads the Computer Networks Team (ZSK) and is actively involved in multiple research projects, including Dark-Box Optimization and evolutionary methods for multi-criteria network design. A Senior Member of IEEE and IEEE ComSoc, he contributes to academic governance as a member of the Polish Academy of Sciences’ Committee on Electronics and Telecommunications. PhD in Computer Science (2000, with distinction) Habilitation in Computer Science (2008) Professor of Technical Sciences (2017) Dean of the Doctoral School, PWr (since 2020) Senior Member, IEEE and IEEE Communications Society Member, Committee on Electronics and Telecommunications, Polish Academy of Sciences His research spans computer network optimization, machine learning in networks, evolutionary algorithms, survivable optical networks, and intelligent computational techniques . He has pioneered the integration of AI methods in teleinformatics and leads initiatives in intent-based and cognitive networking. His work emphasizes multi-layer, application-aware network design and distributed processing systems. The 15 most recent publications reflect a strong trend in optimization under uncertainty, AI-driven networking, and metaheuristic algorithm development . There is a clear focus on survivability, scalability, and automation in modern network architectures, with increasing attention to edge intelligence via TinyML and cognitive systems. His recent work also addresses internationalization and pedagogical innovation in doctoral education. Fabio Neri Best Paper Award 2014 (Elsevier Journal of Optical Switching and Networking) Best Paper Award, DRCN2009 (Washington, USA) Best Paper Award, RNDM2015 (Munich, Germany) Medal of the National Education Commission (2011) Scientific Scholarship, Wrocław University of Science and Technology (2017) Star of Internationalization 2024 – Teaching Star Professor Walkowiak has supervised 10 completed PhD theses and currently mentors 5 doctoral students. He has led or managed 13 research projects funded by NCN (including 4 OPUS grants), EU, NAWA, and national agencies. His grant leadership includes the NAWA InterDocSchool project (2021–2023) and the Unite! Doctoral School curriculum development. He has reviewed over 300 journal submissions and served as session chair at 22 international conferences. He leads several research teams: Computer Networks Team (ZSK), Machine Learning Team, Advanced Data Analysis Methods Team, Metaheuristics Team, and Teaching Team . He has developed innovative educational programs such as the Research Skills course and Recent Research Trends , promoting international collaboration and doctoral training. He championed the transition to English-language instruction in the Doctoral School and promotes internationalization as a 'team sport' across institutional levels.

• Artificial Intelligence
• Data Science
• Information Systems
• +۳ مورد دیگر

Dr. Aldeniz Enverov Rashidov is an Associate Professor at the Technical University of Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Automation, Information and Control Systems . With a Ph.D. in Industrial Information Systems (2006), he has led the Information Support Sector since 2005 and directed the Center for E-Learning and Distance Education since 2012. Education: M.Sc. in Systems and Management (1996), Ph.D. in Industrial Information Systems (2006) Research interests: AI applications in education, intelligent databases, e-voting systems, web-based information architectures, and industrial cybersecurity His recent 15 publications focus on AI-driven manuscript review algorithms, e-voting security frameworks, and ChatGPT-assisted research methodologies. Notable achievements include IEEE Senior Membership (2024) and developing the UMIS 1.0 university management system. Scientific Awards Senior Member, IEEE Computer Society (2024) Senior Member, IEEE Robotics & Automation Society (2024) He has led 9 internal TU-Gabrovo projects on AI applications and contributed to international collaborations like MechMate (2016-2017). His work emphasizes system intelligence evaluation methodologies and hybrid data structuring models.

Brad Mehlenbacherمشاهده پروفایل

استاد

• Rhetoric
• Communication
• Technical Communication
• +۷ مورد دیگر

Brad Mehlenbacher is Professor of Rhetoric and Communication in the Department of English Language & Literature at the University of Waterloo's Faculty of Arts. He is an accomplished scholar whose work bridges rhetoric, communication studies, and technology, with a particular focus on how emerging technologies influence instruction and learning. His research interests include: Rhetoric and communication theory Technical, scientific, and engineering communication Human-computer interaction Learning sciences and instructional design Genre theory and datafication Mehlenbacher's scholarly work demonstrates a consistent trajectory exploring the intersection of communication, technology, and learning. His recent publications focus on contemporary issues such as the rhetoric of big data, misinformation as genre function, and the relationship between science communication and public discourse, particularly in contexts like the COVID-19 pandemic and climate change reporting. His work shows how rhetorical principles apply to emerging digital environments and scientific communication challenges. Notable awards: Winner of 2012 National Council of Teachers of English (NCTE) / Conference on College Composition and Communication's Best Book in Technical and Scientific Communication Award for "Instruction and Technology: Designs for Everyday Learning" Mehlenbacher has been actively involved in teaching at the University of Waterloo, offering courses such as Rhetorical Theory and Criticism (ENGL 292), Contemporary Rhetoric (ENGL 309C), Communication in the Engineering Profession (ENGL 192), and Communication in the Sciences (ENGL 193). His teaching reflects his research interests, connecting theoretical frameworks with practical communication challenges in technical and scientific contexts. He has also collaborated extensively with his wife, Dr. Ashley Rose Mehlenbacher, who is noted as his collaborator in the biographical information.

• Instructional Design
• Information Design
• Community Engagement
• +۲ مورد دیگر

Hannah Vann Nabi serves as a Lecturer in the School of Engineering at Mercer University, teaching instructional design, technical writing, and professional communication within the Human-Centered Information Design and Technology program. Her work integrates real-world applications through community-engaged partnerships and innovative pedagogical approaches including agile design sprints and generative AI integration. Education: M.S. in Technical Communication Management, Mercer University, 2019 B.A. in Women’s and Gender Studies, Mercer University Research Focus: Ms. Nabi specializes in accessibility and inclusion in learning design , globalization in educational contexts , and democratizing information design processes to empower communities. Her scholarship emphasizes ethical engagement, dignity-centered design, and bridging academic theory with community needs through service-learning partnerships. Publication Trends: Her 2024 research analyzes post-pandemic shifts in instructional design job markets using textual analysis while evaluating international service-learning program effectiveness. These works collectively examine how educational technology adapts to global challenges and ethical community partnerships. Professional Leadership: Ms. Nabi has developed virtual training resources, facilitated faculty development initiatives, and led program assessments for engaged learning. Her community partnerships apply agile methodologies and AI tools to address real-world design challenges through student-organization collaborations.

Jorge Franganilloمشاهده پروفایل

استاد

• Audiovisual Documentation
• Digital Formats Management
• Content Creation
• +۷ مورد دیگر

Jorge Franganillo is a Professor and researcher at the University of Barcelona's Faculty of Information and Audiovisual Media, where he coordinates the Master's Degree in Digital Content Management since 2023. He belongs to multiple teaching collectives including GIDD, CAV, CSM, GCD, and Contracted teaching staff. His international experience includes teaching positions at Hochschule der Medien (Stuttgart), Fachhochschule Kärnten (Villach), Jan Amos Komenský University (Prague), University of Dubrovnik, University of Bucharest, and Polytechnic University of Valencia. Dr. Franganillo holds a Doctorate in Information and Communication. His academic journey reflects a deep commitment to bridging theoretical knowledge with practical applications across various international contexts in the field of information science and audiovisual media. His research spans several interconnected domains focused on the evolving digital landscape. Franganillo investigates how individuals manage personal information across multiple devices and platforms, examining the psychological aspects of digital organization. He explores the application of artificial intelligence in content creation, particularly analyzing both the opportunities and ethical challenges presented by generative AI technologies. His work on digital formats management addresses the technical and organizational challenges of preserving digital information over time. Franganillo also contributes significantly to the field of clear language communication, particularly through his analysis of the ISO 24495-1 standard for plain language in official communications. His research on television nostalgia and segment programming reveals how audiovisual archives are being creatively repurposed in contemporary media. Franganillo's recent publications demonstrate a clear trajectory toward examining the intersection of emerging technologies with information management practices. His work increasingly focuses on AI applications across multiple domains - from library science to media production - while maintaining a critical perspective on ethical implications. He has expanded his research to include analysis of digital communication clarity in public administration and the psychological impact of AI-generated content on media consumers. His scholarly output shows a consistent pattern of addressing timely issues at the forefront of information science and digital communication. As coordinator of the Master's Degree in Digital Content Management, Franganillo guides numerous student projects and research initiatives. He has participated in significant European projects including eMEDia (2013-2017) and CRISH (2017-2018), demonstrating his capacity to secure and manage substantial research funding. His work with the UB DIBA Chair of Applied Communication to Public Administrations highlights his commitment to knowledge transfer between academia and public institutions. Franganillo actively participates in the Research Center for Information, Communication and Culture (CRICC) and the Teaching Innovation Group in Communication and Audiovisual Media (In-COMAV). These affiliations provide collaborative frameworks for his research and enable him to integrate theoretical insights with practical applications in educational settings. His involvement in these research groups facilitates interdisciplinary approaches to complex information challenges in contemporary society.