Pathway-specific Information Transfer Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۱-۱۵ از ۲۵۵ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Brent Doironمشاهده پروفایل

استاد

University of ChicagoUnited States

Brent Doiron is a Professor at the University of Chicago, holding appointments in the Departments of Neurobiology and Statistics, and serving on the Committee on Computational and Applied Mathematics (CCAM). His research integrates nonlinear dynamics and statistical mechanics to study neural circuit variability, focusing on mechanisms underlying neural coding and network learning through collaborations with experimentalists in sensory systems. Education: PhD in Physics (University of Ottawa, 2004) Postdoc: Center for Neural Science at New York University (2017) Previous Roles: Mathematics Professor at University of Pittsburgh (2007-2020), Co-Director of Neural Computation Program at Carnegie Mellon Neuroscience Institute Research interests center on neuronal population dynamics, recurrent circuit mechanisms, and computational neuroscience. Current work investigates correlated variability in cortical networks, inter-areal communication, and stochastic spiking models. Recent publications emphasize cortical stability/gain modulation, asynchronous/synchronous activity balance, and Bayesian inference frameworks. Key themes include sensory processing, network plasticity, and dimensionality reduction in neural coding. Scientific Awards Alfred P. Sloan Research Fellowship in Neuroscience Vannevar Bush Faculty Fellowship Chancellor’s Distinguished Research Award (University of Pittsburgh) Active grants include NIH R01 and R90/T90 awards for neuronal dynamics research and computational neuroscience training programs.

پروفایل رسمی دانشگاه

James McDonaldمشاهده پروفایل

مدرس

University of New South WalesAustralia

Dr. James McDonald serves as a Lecturer and Research Fellow at the University of New South Wales (UNSW) within the School of Civil and Environmental Engineering's Water Research Centre (WRC). His work at the Vallentine Annexe (H22), Room 102, Kensington Campus focuses on advancing water treatment technologies and understanding contaminant behavior in water systems. His position bridges academic instruction with cutting-edge research in environmental engineering. McDonald's research spans multiple critical areas in water science and engineering, with particular emphasis on trace organic contaminants, membrane technologies, and advanced water treatment processes. His work investigates the fate and removal of pharmaceuticals, personal care products, and industrial chemicals in various water treatment systems. He has made significant contributions to understanding disinfection by-product formation, chiral inversion of pharmaceuticals, and the development of novel membrane technologies for improved water purification. His research combines experimental approaches with computational modeling to address complex water quality challenges. Analysis of McDonald's recent publications reveals a strong focus on emerging contaminants, particularly PFAS compounds and chiral pharmaceuticals, and their behavior in water treatment systems. His work demonstrates expertise in both conventional and advanced water treatment technologies, with increasing emphasis on sustainable approaches including green infrastructure and novel membrane processes. The interdisciplinary nature of his research connects environmental engineering, chemistry, microbiology, and materials science to address contemporary water quality challenges. McDonald actively collaborates with researchers across multiple institutions and has contributed to numerous significant studies on water quality and treatment. His work supports the development of more effective water recycling systems and safer drinking water supplies. While specific grant information isn't detailed in the available text, his extensive publication record suggests sustained research funding in water treatment technologies and contaminant fate studies. As part of UNSW's Water Research Centre, McDonald contributes to one of Australia's leading water research facilities. The WRC provides a collaborative environment for addressing complex water challenges through interdisciplinary research that integrates engineering, chemistry, and environmental science perspectives.

پروفایل رسمی دانشگاه

Ning Zhangمشاهده پروفایل

استادیار

James Madison UniversityUnited States

Ning Zhang is an Assistant Professor in the Biology Department at James Madison University (JMU), joining in 2024. Her research focuses on enhancing crop resilience through molecular and biochemical studies of plant defense mechanisms against bacterial pathogens, alongside developing genome editing technologies for trait improvement. She holds a PhD in Horticulture and Crop Science from The Ohio State University (2016), an MS in Silviculture from Zhejiang Agriculture and Forestry University (2011), and a BS in Landscape Architecture from Shandong Agricultural University (2008). Research Interests: Dr. Zhang's lab investigates plant immunity pathways, CRISPR/Cas9 genome editing applications, and engineering crops for disease resistance. Her work integrates molecular biology, genetics, and biochemistry to tackle challenges posed by climate change and biotic/abiotic stresses. Recent Trends in Publications: Her articles concentrate on MAPK signaling pathways, NLR protein interactions, PP2C phosphatase regulation, and bacterial effector mechanisms in tomato and other crops. Key themes include immune system activation, pathogen recognition diversity, and transgenic plant development. Lab Information: The Zhang Lab at JMU is part of the Department of Biology, focusing on plant biotechnology solutions for agricultural sustainability. They collaborate on projects involving CRISPR-based gene editing and stress tolerance research.

پروفایل رسمی دانشگاه

Lawrence Goodridgeمشاهده پروفایل

استاد

University of GuelphCanada

Lawrence Goodridge is a Professor and Director of the Canadian Research Institute for Food Safety (CRIFS) at the University of Guelph's Ontario Agricultural College. He holds the Leung Family Professorship in Food Safety and leads research at the intersection of food safety, antibiotic resistance, and One Health principles. His work focuses on applying genomic technologies to study foodborne pathogens (E. coli, Salmonella, Listeria, Cronobacter) and leveraging wastewater surveillance for infectious disease outbreak prediction. Academic History: BSc Microbiology (University of Guelph, 1995), MSc Food Microbiology (2003), PhD Food Microbiology (2002), followed by post-doctoral training in Food Safety at the University of Georgia (2002). Joined CRIFS in 2003. Research Interests: Genomic analysis of pathogen emergence, wastewater-based epidemiology, bacteriophage applications, and consumer education strategies for food safety. His lab develops innovative methods for rapid pathogen detection in food systems and environmental samples. Articles Trends: Over 100 peer-reviewed publications emphasize genomic surveillance of foodborne pathogens and SARS-CoV-2, with a focus on wastewater sampling innovations. Recent work explores multi-modal data integration for public health forecasting and ethical data protection frameworks for surveillance programs. Awards: While no specific prizes are listed, his $50M+ research funding from Canadian/international sources underscores recognition of his impactful work. Grants support projects like phage-based sanitization and antimicrobial resistance tracking. Advising & Labs: Leads CRIFS laboratory operations and collaborates globally on food safety initiatives. His research has informed food industry guidelines and policy frameworks for mitigating pathogen risks in agricultural and environmental systems.

پروفایل رسمی دانشگاه

Jonathan P. Wongمشاهده پروفایل

استاد

Pardee RAND Graduate SchoolUnited States

Jonathan P. Wong is a Senior Policy Researcher at the RAND Corporation and Professor of Policy Analysis at the RAND School of Public Policy. His work bridges academic research and defense policy, focusing on military strategy, acquisition, force planning, and the integration of emerging technologies into military operations. Education: Ph.D. and M.Phil. in Policy Analysis (Pardee RAND Graduate School), M.A. in Security Studies (Georgetown University), B.A. in Political Science (UC San Diego) Professional Experience: U.S. Marine Corps infantry officer (2001–2011), Consultant at Boston Consulting Group, current RAND researcher and professor Wong’s research interests center on defense innovation, military logistics, artificial intelligence in warfare, space capabilities, and the human dimension of military operations. He has led studies on human-machine teaming, non-lethal weapons, defense acquisition reform, and U.S. military posture in the Indo-Pacific. His work emphasizes practical, policy-relevant insights grounded in operational experience. The trends in his recent publications reveal a deep engagement with modern defense challenges: integrating commercial technologies into military systems, improving acquisition agility, enhancing battlefield awareness, and ensuring that defense innovation serves warfighter needs. His research spans strategic, operational, and tactical levels, often focusing on the U.S. Army and Marine Corps. Wong has not received public recognition in the form of listed awards in the provided texts, but his leadership in congressionally mandated studies and high-impact policy research suggests significant influence in defense circles. Advising & Grants: Co-led major projects such as the Long Range Precision Fires study and research on integrating women into Marine Corps infantry. His work is frequently funded by the Department of Defense and other federal entities, though specific grant details are not listed. Wong is affiliated with RAND’s defense and national security research teams, contributing to strategic analysis and policy development. He is not associated with a formal lab but works within RAND’s collaborative research environment, often partnering with other veterans and defense experts to produce actionable insights for military leaders and policymakers.

پروفایل رسمی دانشگاه

Xuezhe Maمشاهده پروفایل

استادیار

Carnegie Mellon UniversityQatar

Xuezhe Ma is an Assistant Professor in the Department of Computer Science at the University of Southern California's Viterbi School of Engineering. Previously, he was a Ph.D. student at Carnegie Mellon University's Language Technologies Institute, where he worked under the supervision of Professor Eduard Hovy. His academic journey includes a Master's degree from Shanghai Jiao Tong University's Center for Brain-like Computing and Machine Intelligence and a Bachelor's degree in Computer Science from the same institution. Ph.D. in Computer Science, Carnegie Mellon University (completed ~2020) M.S. in Brain-like Computing, Shanghai Jiao Tong University B.S. in Computer Science, Shanghai Jiao Tong University Dr. Ma's research spans multiple areas at the intersection of Natural Language Processing and Machine Learning, with particular focus on structured prediction, syntactic and semantic parsing, machine translation, language generation, and deep generative models. His recent work has expanded into vision-language models, large language model architectures, and applications across computer vision tasks. His research combines theoretical foundations with practical implementations, as evidenced by his development of tools like NeuroNLP2 and MaxParser. His publication record shows a clear trajectory from foundational NLP work during his PhD (including papers on dependency parsing and sequence labeling) to more recent contributions in generative models and large language systems. The 15 most recent publications reveal a strong focus on addressing fundamental challenges in generative modeling, context handling, and multimodal integration, with applications spanning literary translation, medical imaging, and news diffusion analysis. AI2 Outstanding Intern Award (2018) Dr. Ma has secured research funding supporting his work in generative models and language technologies, with projects focusing on improving the efficiency and capabilities of large language models. His research group at USC is actively working on next-generation language understanding and generation systems, with particular emphasis on context-aware modeling and multimodal integration. He has established collaborations with industry partners including the Allen Institute for AI and has contributed to open-source projects like Texar. At USC, Dr. Ma leads research in the Information Sciences Institute, directing projects on efficient large language model architectures and multimodal reasoning systems. His lab focuses on developing novel approaches to context handling, model efficiency, and multimodal integration, with applications across diverse domains including healthcare, literary analysis, and news media.

پروفایل رسمی دانشگاه

Liangming Panمشاهده پروفایل

استادیار

University of ArizonaUnited States

Liangming Pan is an Assistant Professor at the University of Arizona's College of Information Science. His research focuses on building trustworthy large language models (LLMs) with an emphasis on logical reasoning, truthfulness, and safety. He holds a PhD in Computer Science from the National University of Singapore (2022), a Master's from Tsinghua University, and a Bachelor's from Beihang University. Education : PhD in Computer Science, National University of Singapore (2022) Master of Engineering in Computer Science, Tsinghua University (2017) Bachelor of Engineering in Computer Science, Beihang University (2014) Research Interests : Dr. Pan's work centers on enhancing LLMs' reliability through: Logical reasoning mechanisms to ensure faithful deductions Truthfulness verification to combat misinformation Safety protocols to mitigate societal harm Key Contributions : Developed TART, an open-source framework for explainable table-based reasoning Created benchmarks like SCITAB and FactCheck-Bench for evaluating LLMs Advanced techniques for knowledge editing and causal reasoning Awards : Best Paper Runner-Up at NeurIPS Table Representation Workshop (2024) Area Chair Award for Question Answering (IJCNLP-AACL 2023) Service & Outreach : He serves as an Area Chair for EMNLP (2024), COLING (2025), and ACL (2024). He has delivered invited talks at Tsinghua University, Peking University, and other institutions.

پروفایل رسمی دانشگاه

Silvia Baioccoمشاهده پروفایل

استادیار

Campus Bio-Medico University of RomeItaly

Dr. Silvia Baiocco serves as Assistant Professor at University of Rome Tor Vergata, teaching entrepreneurship, tourism management, and marketing courses across Bachelor and Master programs including 'Creation of Enterprises and Entrepreneurship' (Master), 'Fundamentals of Service Management' (Bachelor), and 'Tourism and Cultural Management for Sustainability' (Bachelor). Her institutional affiliation centers on Business Economics (sector ECON-07/A) with research rooted in co-evolutionary theory. Her research critically examines sustainable business model innovation through three interconnected lenses: (1) tourism-destination co-evolution in historic villages and Alberghi Diffusi, (2) university-industry knowledge exchange for sustainable spin-offs via PNICube Observatory frameworks, and (3) technology integration in smart tourism through AI-driven destination management. She emphasizes context-specific adaptation in both high-income (Italy) and low/middle-income settings (Ghana), with strong focus on social impact and heritage preservation. Analysis of her 2023-2025 publications reveals accelerating focus on digital tourism transformation (AI applications, smart city integration) and resilience-building in accommodation firms. Her work consistently applies co-evolutionary frameworks to decode organizational adaptation, particularly in sustainable entrepreneurship contexts. The PNICube Observatory reports highlight her policy-relevant contributions to university research valorization. As educator, Dr. Baiocco actively shapes future business leaders through courses spanning startup creation to sustainable destination management. Her research trajectory indicates deepening engagement with technology-mediated sustainability solutions and cross-sectoral innovation ecosystems, particularly through ongoing PNICube Observatory initiatives.

پروفایل رسمی دانشگاه

Peter Godfrey-Smithمشاهده پروفایل

استاد

University of SydneyAustralia

Professor Peter Godfrey-Smith holds a half-time position in the School of History and Philosophy of Science at the University of Sydney, alongside his role at the CUNY Graduate Center. He earned his undergraduate degree from the University of Sydney and a PhD in Philosophy from UC San Diego. His research spans the philosophy of biology, animal cognition, and consciousness evolution, with notable books like Other Minds and Metazoa . Key awards include the Royal Society of NSW Medal (2017) and the Lakatos Award (2010) for his work Darwinian Populations and Natural Selection . His fieldwork on octopuses has garnered international attention, exploring their intelligence and implications for understanding consciousness. Peter has taught at Stanford, Harvard, and ANU, balancing academic roles with public engagement through media appearances and podcasts. Education: B.A. University of Sydney; PhD in Philosophy, UC San Diego. Research Interests: Evolution of consciousness, animal minds, cephalopod behavior, philosophy of biology, and interdisciplinary studies on cognitive evolution. Awards: Royal Society of NSW Medal (2017), Lakatos Award (2010), multiple fellowships and recognitions in philosophy and biology. Grants and Advising: While no specific grants are listed, his extensive publications reflect sustained research funding. Advises students in history and philosophy of science, though current names are not provided. Labs/Teams: Engages in fieldwork on octopuses, collaborating with marine biologists and philosophers globally. Active in interdisciplinary research groups studying animal cognition.

پروفایل رسمی دانشگاه

Hilary Sigmanمشاهده پروفایل

استاد

Rutgers, The State University of New JerseyUnited States

Hilary Sigman is Professor of Economics at Rutgers University and Research Associate of the National Bureau of Economic Research (NBER), specializing in empirical environmental policy analysis. Her work bridges environmental economics, public finance, and legal frameworks through rigorous quantitative methods focused on real-world regulatory challenges. Academic Background: B.A. from Yale University M.Phil. from Cambridge University (U.K.) Ph.D. from Massachusetts Institute of Technology Sigman's research centers on environmental policy effectiveness, with three interconnected pillars: hazardous waste management (Superfund remediation, brownfield redevelopment, and liability systems), water resource economics (transboundary rivers, dam construction, and drought impacts), and waste management systems (municipal recycling and international waste flows). Her methodology combines econometric analysis of regulatory outcomes with institutional insights from policy implementation. Current projects examine climate adaptation for contaminated sites, economic consequences of China's waste import ban, and drought-related economic disruptions. Analysis of her recent publications reveals intensifying focus on climate adaptation challenges within environmental regulation, particularly regarding Superfund site resilience. The work increasingly addresses international dimensions of waste policy and transboundary water management, reflecting growing recognition of globalization's impact on environmental governance. Her empirical approach consistently links micro-level regulatory mechanisms to macro-level environmental outcomes. Professional Engagement: Research funding from National Science Foundation and Environmental Protection Agency Committee service for U.S. EPA Science Advisory Board Contributions to National Academies of Science, Engineering, and Medicine panels Teaching: Environmental Economics (Econ 432) and Applied Econometrics (Econ 609) Sigman maintains active policy engagement through government advisory roles while advancing academic knowledge through NBER affiliation. Her research program demonstrates consistent evolution from domestic regulatory analysis toward globally interconnected environmental challenges, particularly waste flows and climate adaptation in contaminated site management. Though no specific awards are documented in source materials, her sustained research funding and policy appointments indicate significant professional recognition.

پروفایل رسمی دانشگاه

Tālis Laizānsمشاهده پروفایل

استادیار

Riga Technical UniversityLatvia

Tālis Laizāns serves as a practical assistant professor and researcher at the Institute of Economics and Entrepreneurship, Riga Technical University (RTU), leveraging dual master's qualifications in economics and engineering to bridge academic theory with real-world business applications. His work significantly advances RTU's research in entrepreneurship, innovation, and economic policy development. His educational credentials include: Master of Economics (Mg.oec.) Master of Engineering (Mg.ing.) Laizāns specializes in venture capital, SME development, and social innovation financing, with strong emphasis on artificial intelligence applications and EU research frameworks. His interdisciplinary approach integrates economic analysis with engineering principles to address contemporary challenges in Latvian and European business ecosystems, particularly focusing on practical implementation pathways for startups and established enterprises. His 2019 publications analyze social innovation through multiple lenses: societal participation dynamics, international financing models, EU research project structures, and critical success factors. These works synthesize Latvia-specific case studies with broader European experiences, highlighting actionable insights for policymakers and business stakeholders in scaling social innovation initiatives. Professional recognition stems from substantial project leadership rather than formal awards, evidenced by his selection as Latvia's representative in high-impact EU initiatives. Laizāns actively secures and executes research funding across diverse domains: Latvia-Cambridge Venture Camp (2024) : Cultivating next-generation entrepreneurship through experiential learning in the UK. Shadow Economy Assessment in Construction (2024-2025) : Quantifying informal economic activities to inform regulatory frameworks. OpenFin Hackathon (2024) : Driving fintech innovation through international competition platforms. Learning and Research Academic Group (2024) : Advancing pedagogical methodologies and collaborative research practices. Post-Pandemic Economic Framework Project (2020) : Designing resilience strategies for Latvia's economic recovery. Climate Knowledge and Innovation Community (2016-2023) : Leading EIT-funded climate action through knowledge transfer. His earlier Horizon 2020 contributions include Bio-Based Industries JIT representation (2013-2017) and COPA-COGECA working group leadership on agricultural innovation (2010-2017). At RTU, Laizāns operates within the Innovation Economic Research Center while co-founding the 'Learning and Research' academic collective. His project portfolio demonstrates consistent engagement with interdisciplinary teams tackling societal challenges through evidence-based innovation, particularly in economic policy design and sustainable business model development.

پروفایل رسمی دانشگاه

Zhandong Liuمشاهده پروفایل

دانشیار

Baylor College of MedicineUnited States

Zhandong Liu is an Associate Professor at Baylor College of Medicine with joint appointments in the Department of Pediatrics and Department of Neurology . He serves as Chief of Computational Sciences at Texas Children's Hospital and co-directs the Quantitative & Computational Biosciences Graduate Program at Baylor. Education: B.S. in Computer Science, Nankai University (2001) M.S. in Computer Science, Wayne State University (2003) Ph.D. in Genomics and Computational Biology, University of Pennsylvania (2010) Dr. Liu's research integrates genomics , machine learning , and bioinformatics to advance understanding of neurological diseases. His work focuses on: Multi-omics data integration for disease mechanism discovery Development of cloud-based CRISPR analysis tools like CRISPRcloud Augmented reality platforms for biomedical data visualization Identification of disease genes through computational models Alternative splicing analysis in cancer and neurodegeneration Single-cell and spatial transcriptomics algorithms His recent publications emphasize Alzheimer's disease , MECP2 syndromes , and computational therapy prediction across multiple domains. Scientific awards include the 2018 Outstanding Service Award from the International Association for Intelligent Biology and Medicine. He has secured major grants from NIH, CPRIT, and NSF for projects including: NSF grant #199977 (2018-2020): Augmented reality therapy platforms CPRIT grant #RP170387 (2016-2019): Network-guided cancer analysis NIH #1R01AG057339 (2017-2022): Alzheimer's disease networks As head of the Liu Lab , he leads teams developing tools like: MARRVEL : Human-model organism gene variant integration CRISPRcloud : Secure CRISPR screen analysis platform CrypSplice : Cryptic splicing detection algorithm

پروفایل رسمی دانشگاه

Li Jizhenمشاهده پروفایل

استاد

Tsinghua UniversityChina

Li Jizhen serves as Professor in the Department of Innovation, Entrepreneurship and Strategy at Tsinghua University's School of Economics and Management, where he has held academic positions since 2002. He concurrently serves as Deputy Director of the Center for Technology Innovation Research and was an International Faculty Fellow at MIT Sloan School of Management in Spring 2006, demonstrating his international academic engagement. His educational foundation includes a 1997 Double Bachelor's Degree from Tsinghua University spanning Automotive Engineering and Economics and Management, followed by a 2002 PhD and Master of Management from the same institution. This dual technical-management background informs his interdisciplinary research approach. Professor Li's research centers on digital transformation, technological innovation systems, and science-technology policy with particular focus on China's innovation ecosystem. His work examines corporate innovation strategies, venture evaluation mechanisms, and the interplay between institutional frameworks and entrepreneurial activity. He investigates how firms leverage both internal capabilities and external networks to drive innovation in emerging economies. His publication record in premier journals including Administrative Science Quarterly , Management Science , and Strategic Management Journal reveals consistent focus on innovation dynamics, entrepreneurial finance, and China-specific institutional contexts. Recent work analyzes AI market positioning, fraud-innovation relationships, and international open innovation by latecomer firms, showing evolving research trajectories toward digital transformation and global innovation networks. As Deputy Director of Tsinghua's Center for Technology Innovation Research, Professor Li leads institutional initiatives bridging academic research with practical innovation policy development. His work informs national technology strategies while maintaining strong empirical grounding in Chinese firm-level data and institutional contexts.

پروفایل رسمی دانشگاه

Lisa Larrimore Ouelletteمشاهده پروفایل

استاد

University of ZurichSwitzerland

Lisa Larrimore Ouellette is the Deane F. Johnson Professor of Law at Stanford Law School, where she has established herself as a leading scholar in intellectual property law and innovation policy. Her work spans patent law, trademark law, pharmaceutical policy, and the intersection of artificial intelligence with legal frameworks. Professor Ouellette's research focuses on the intersection of law, economics, and innovation. Her scholarship examines how intellectual property systems influence technological development, with particular attention to pharmaceutical innovation, biomedical research, and emerging technologies. She has made significant contributions to understanding patent systems, trademark law, and the policy frameworks governing innovation. Her work often employs empirical methods to analyze real-world impacts of legal rules on innovation incentives and outcomes. Analysis of her recent publications reveals a strong focus on contemporary challenges in intellectual property law, including the impact of artificial intelligence on patent systems, equity in patent inventorship, pharmaceutical pricing mechanisms, and innovation policy responses to public health emergencies like the COVID-19 pandemic. Her work demonstrates a consistent pattern of addressing timely policy questions with rigorous empirical analysis and thoughtful legal reasoning. Professor Ouellette has collaborated extensively with leading scholars in law and economics, including Daniel J. Hemel, Jonathan Masur, Mark Lemley, and others. Her research has been supported by prestigious institutions including the National Bureau of Economic Research (NBER), and she has contributed to numerous policy discussions through amicus briefs and responses to government requests for comments. While specific advising relationships aren't detailed in the available information, her extensive publication record with co-authors suggests active mentorship of junior scholars and students.

پروفایل رسمی دانشگاه

Luca Barraمشاهده پروفایل

استاد

University of BolognaItaly

Luca Barra is Full Professor of Television and Digital Media at the Department of Arts, University of Bologna. His research focuses on media studies, particularly television history and contemporary evolution, transnational circulation of content, serialization, and comic/humorous genres. He has coordinated the Master's Degree in Information, Cultures and Media Organization since 2021 and serves as editor-in-chief of VIEW. Journal of European TV History and Culture. University of Bologna, Department of Arts Research areas: Television History, Transnational Media, Digital Transformation, Italian TV Production Barra's work examines the international mediation of ready-made TV formats, Italian streaming partnerships, and the cultural implications of digital television. His recent articles analyze dystopian narratives, sitcom reception in Italy, and the redefinition of celebrity during the pandemic. He contributes to academic discourse through editorial roles in journals like SERIES and Comunicazioni Sociali. His publications include monographs on Italian television programming, sitcoms, and co-edited volumes exploring European premium TV fiction and digital media frameworks. Barra has led research projects such as ATLas and F-ACTOR, and collaborates with international institutions including Brown University and NECS.

پروفایل رسمی دانشگاه