جست‌وجوی استاد و پژوهشگر

Praba Pilarمشاهده پروفایل

استادیار مدعو

• Performance Studies
• Critical Technology Studies
• Decolonial Theory
• +۱۲ مورد دیگر

Praba Pilar is an artist-scholar and Adjunct Assistant Professor in the Critical Studies Program at California College of the Arts (CCA). With a PhD in Performance Studies from UC Davis and a BA in Intermedia Arts from Mills College, she brings a rich interdisciplinary background to her teaching and creative practice. She has previously taught at UC Davis, the University of Winnipeg, and the Summer Institute of Performance Studies at Northwestern University. PhD in Performance Studies, UC Davis BA in Intermedia Arts, Mills College Post-Doctoral Fellowship in Digital Humanities, University of Winnipeg Her research and artistic work critically engage with the 'Cult of the Techno-Logic,' focusing on artificial intelligence, bioart, decolonial media, and multispecies ethics. Pilar’s practice spans live performance, digital installations, participatory workshops, and critical writing. Central projects include Queercornu(c/t)opia , The Techno-Tamaladas , and Larval Rock Stars , all of which challenge dominant technological narratives through feminist, queer, and Latinx perspectives. The 15 most recent articles and exhibitions reflect a consistent focus on decolonizing technology, embodied resistance, and the ethical dimensions of AI and biotech. Her work integrates performance, critical theory, and community engagement to question the social, racial, and environmental impacts of technological systems. Recurring themes include posthumanism, digital colonialism, and the reimagining of technological futures through marginalized epistemologies. Her awards highlight recognition across art, social practice, and humanities: 2025–2027 HUMAN Fellowship and Residency 2024 TTT Feral BioArt Residency 2022 Memes as Social Practice Residency 2021 Cultura Power Fellowship 2020 Community Rapid Response Award 2019 Local Impact Award (California Arts Council) City of Emeryville Community Grant Puffin Foundation Award Creative Work Fund Award Potrero Nuevo Fund Award Two Rockefeller Award nominations Pilar is actively involved in collaborative and advisory roles, including Co-Director of the Bioarts Ethical Advisory Komission and Emeritus Board Member of Women Eco Artists Dialogue. She has secured grants from the National Endowment for the Arts, Headlands Center for the Arts, and MACLA, supporting community-based and experimental art projects. Her work is widely exhibited in museums, galleries, and digital platforms globally. She leads workshops and participates in international symposia, including events at the Hemispheric Institute of Performance and Politics, College Art Association, and Society for Literature, Science, and the Arts. Her lab-like collaborative frameworks—such as Larval Rock Stars and Los Cybrids —function as interdisciplinary teams merging art, science, and activism to explore posthuman futures.

James Hessمشاهده پروفایل

استاد

• Theoretical Marketing Models
• Pricing and Sales Promotion
• Multivariate Statistics
• +۷ مورد دیگر

James Hess is a Professor and the C.T. Bauer Professor of Marketing Science at the C. T. Bauer College of Business, University of Houston. He is affiliated with the Department of Marketing & Entrepreneurship and has made significant contributions to theoretical marketing and econometric modeling. Education: Ph.D. in Economics, Massachusetts Institute of Technology, 1975 A.B. in Economics, Princeton University, 1971 B.S.E. in Electrical Engineering, Princeton University, 1971 His research spans theoretical marketing models, pricing, customization, multivariate statistics, and sales force management. He employs rigorous quantitative methods to explore consumer behavior, marketing strategy, and decision-making under uncertainty. His work often bridges economics and marketing, emphasizing formal modeling and empirical validation. The recent articles highlight a strong focus on methodological rigor in marketing research, particularly in moderated regression and collinearity issues, while also addressing strategic themes such as mass customization, dual-channel retailing, and emotional compensation in sales. His publications appear consistently in top journals like Marketing Science and Management Science , reflecting sustained scholarly impact. Scientific Awards and Honors: President, INFORMS Society for Marketing Science (2000–2002) Professor Hess has advised and collaborated with numerous scholars, including UH alumni and faculty such as Niladri Syam, Raj Echambadi, and Y. Yang. He has not received external grants mentioned in the text, but his long publication record and leadership roles suggest sustained research funding. He teaches advanced courses in multivariate statistics, marketing models, and pricing strategy, contributing to doctoral and master’s education. He has been involved in organizing key academic symposia, such as the Paul D. Converse Symposium, and has contributed to edited volumes, indicating active engagement in the academic community. His work continues to influence both theoretical and applied marketing science.

Seshadri Tirunillaiمشاهده پروفایل

دانشیار

• User-Generated Content (UGC)
• Advertising
• Marketing Strategy
• +۷ مورد دیگر

Seshadri Tirunillai is an Associate Professor and the Marvin Hurley Professor of Marketing & Entrepreneurship at the C. T. Bauer College of Business, University of Houston. His research and teaching focus on digital marketing, user-generated content, advertising, marketing strategy, and sales analytics. Education: Ph.D. in Business Administration (Marketing), University of Southern California - Marshall School of Business Masters in Management, Indian Institute of Technology-Bombay, India B.E. (Hons) in Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, India His research lies at the intersection of marketing, data science, and digital platforms. He investigates how user-generated content influences brand perception and stock performance, how offline advertising affects online conversations, and how machine learning can extract strategic insights from big data. His work has been published in premier journals such as Journal of Marketing , Marketing Science , and Journal of Marketing Research . He frequently employs advanced analytical methods, including natural language processing and quasi-experimental designs, to derive actionable marketing insights. The recent publications reflect a consistent trend in leveraging large-scale digital data—especially social media and sales interactions—to understand consumer behavior, brand dynamics, and marketing effectiveness. His work bridges theoretical rigor with practical relevance in digital and data-driven marketing. Scientific Awards: MSI Scholar (2022) O'Dell Award (2019) Lehmann Award (2015) John A. Howard/AMA Doctoral Dissertation Award (2012) Best Paper, European Marketing Conference (2009) Best Reviewer, International Journal of Research in Marketing Best Reviewer, Journal of Interactive Marketing Finalist, Bass Dissertation Award (2014) Shankar-Spiegel Award Honorable Mention (2008) Seshadri Tirunillai has made significant contributions to marketing theory and practice through his research, editorial service, and teaching. He serves on the editorial boards of top journals including Marketing Science , Journal of Marketing Research , and Journal of Interactive Marketing . He teaches Digital Marketing Analytics (MARK 7366) at the graduate level and Introduction to Internet Marketing (MARK 3365) at the undergraduate level. His work has been supported by recognition from major marketing institutions, though specific grants are not detailed in the text. He is actively involved in academic leadership through editorial roles and professional associations, contributing to the advancement of marketing science and digital strategy research.

Valderi Reis Quietinho Leithardtمشاهده پروفایل

استادیار

• Distributed Systems
• Data Privacy
• Internet of Things
• +۱۱ مورد دیگر

Valderi Reis Quietinho Leithardt is an Assistant Professor at the Department of Information Science and Technology, Iscte – University Institute of Lisbon , Portugal, where he holds a full-time position with exclusive dedication. He is an integrated researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture) and a Senior Member of the IEEE . His academic affiliations also include collaborations with the University of Coimbra, University of Salamanca, and Fondazione Bruno Kessler. Education: Post-Doctorate , University of Salamanca, Spain (2019–2021) Post-Doctorate , University of Coimbra, Portugal (2017–2019) PhD in Computer Science , Federal University of Rio Grande do Sul, Brazil (2011–2015) Master’s in Computer Science , Pontifical Catholic University of Rio Grande do Sul, Brazil (2006–2008) Bachelor’s in Data Processing Technology , Higher Education Center of Foz do Iguaçu, Brazil (1999–2002) Research Interests: Valderi's research focuses on Distributed Systems, Data Privacy, Internet of Things (IoT), Cloud Computing, and Intelligent Systems . He explores algorithmic solutions for secure and efficient data management in heterogeneous environments, with applications in smart cities, precision agriculture, healthcare, and energy systems. His work integrates machine learning, blockchain, and federated learning to enhance privacy, security, and system performance. Publication Trends: His recent publications (2024–2025) emphasize time series forecasting, anomaly detection, JVM optimization, and privacy-preserving AI . A strong trend is observed in applying machine learning to power grid fault prediction, blockchain-based healthcare data privacy, and data quality in federated learning. His work bridges theoretical computer science with real-world applications in infrastructure, sustainability, and digital security. Scientific Contributions: Senior IEEE Member Active contributor to open science and reproducibility Involved in interdisciplinary research networks: Embedded and Distributed Systems Laboratory, COPELABS, CTS, CANDEIIA Member of professional societies: IEEE (since 2011), Brazilian Computer Society (since 2003) Academic Service and Leadership: He has held leadership roles in academic programs, including Director and Coordinator of the Master's in Computer Science and Management at Iscte (2025–2027). He actively organizes and participates in scientific events such as IEEE CIoT, DiTTEt, SBSeg, and MobiSPC, serving on organizing and scientific committees. He has coordinated workshops like WTTFC 2024 and 2025, promoting technological trends in future computing. Labs and Research Groups: He is a collaborator in several research networks, including: Embedded and Distributed Systems Laboratory (since 2016) Expert Systems and Applications Laboratory (since 2019) COPELABS – Human-Centered Computing and Cognition (since 2020) Fondazione Bruno Kessler (2021–2025) Center for Technology and Systems (CTS) (since 2023) Advanced Center for Development of Intelligent Systems and Artificial Intelligence (CANDEIIA) (since 2024)

Tarjana Yagnikمشاهده پروفایل

مدرس

• Distributed Data Stream Management Systems
• Big Data
• Machine Learning
• +۷ مورد دیگر

Dr. Tarjana Yagnik is a Lecturer in Computer Science and Deputy Programme Leader for BSc Software Engineering at De Montfort University, UK, within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. She is affiliated with the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI), contributing to cutting-edge research in data stream processing and machine learning. Education: PhD in Computer Science, De Montfort University, UK MSc Computing, De Montfort University, UK Master in Computer Applications (MCA), IGNOU, India Bachelor of Science (BSc), Gujarat University, India Post Graduate Certificate in Academic Practice (PGCAP, in progress), De Montfort University, UK Her research centers on distributed data stream management systems, focusing on QoS-aware self-adaptive frameworks, real-time processing, big data analytics, and machine learning integration. She explores privacy-preserving techniques under GDPR, especially k-anonymization, and trust architectures in cloud environments. Her work bridges theoretical models with practical system design for dynamic resource allocation. The recent publications highlight a consistent focus on Quality of Service in distributed systems, with applications in big data and cloud computing. Key themes include predictive modeling for QoS violations, GDPR-compliant anonymization, and trust evaluation in cloud services. These works reflect interdisciplinary expertise combining distributed systems, machine learning, and data privacy. Scientific Awards: Vice Chancellor Distinguished Teaching Award (2018, 2019) Best Student Award in MSc Computing Dr. Yagnik is an active educator, teaching courses in databases, data structures, algorithms, programming (Java, Python, C/C++, Scala), web development, operating systems, and networks. She supervises postgraduate research students, including Harry Boadu, and welcomes new research collaborations. She has secured internal projects, such as developing research resource websites for the Arts and Humanities school. She serves on conference committees, including as Technical Programme Committee Member and Publicity Chair for ICCBDC. She is affiliated with key research groups: the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI) , where she contributes to collaborative research in cybersecurity, AI, and big data technologies.

Karthik Babu Nattamai Kannanمشاهده پروفایل

استادیار

• Digital Economics
• Artificial Intelligence
• Econometrics
• +۸ مورد دیگر

Dr. Karthik Babu Nattamai Kannan is an Assistant Professor of Information Technology and Operations Management at Southern Methodist University's Cox School of Business. Holding a PhD in Information Technology Management from Georgia Institute of Technology, his research bridges societal and enterprise impacts of digitization and AI. PhD, Information Technology Management (Georgia Tech) Bachelor of Engineering, Mechanical Engineering (Anna University) His research focuses on digital inequality , particularly how marginalized communities benefit from improved internet access. His Management Science paper on mobile data caps revealed disproportionate benefits for disadvantaged households. He contributes to federal broadband initiatives through the FCC and NTIA , and has developed frameworks for measuring digital equity impacts. At the enterprise level, Dr. Kannan investigates generative AI applications in software engineering and e-commerce. His work with SMU DataArts examines cultural sector digitization, supported by a $5,000 Marketing Science Institute grant. He has also advised on the Bloomberg Philanthropies AIM program evaluation. Policy Contributions : FCC proceeding #23-199 filing, NTIA broadband program reviews Technical Expertise : Python, R, Java, SDLC, AI/ML, big data Awards : C. Jackson Grayson Faculty Innovation Award (2021), HOPE award nominee (2023) Dr. Kannan's teaching portfolio includes database design, decision analysis, and business analytics courses. He combines his 9 years of Fortune 500 consulting experience (GE, Home Depot, J&J) with academic rigor to train future business leaders in technology-driven decision making.

• Sports Sciences
• Recreation Management
• Therapeutic Recreation
• +۵ مورد دیگر

Hüseyin Öztürk is a Professor at Gaziantep University, Faculty of Sports Sciences, Department of Sports Management . His academic career spans over two decades, with roles including Associate Professor (2018-2023), Lecturer, and Doctor Lecturer at the same institution. PhD in Physical Education and Sports from Gazi University (2013) Master's in Sports Management from Marmara University (2010) Licence in Physical Education Teaching from Marmara University (2000) His research focuses on recreation management, therapeutic recreation, sports tourism, and mental health outcomes tied to physical activity. Key areas include stress reduction in correctional facilities, motivation in law enforcement, and leisure behavior in urban settings. Recent publications examine trends like recreational therapy for inmates (2025) , sports' impact on mental resilience in police (2023) , and exercise effects on life satisfaction (2022) . His work bridges public health and sports science , emphasizing inclusive wellness programs. Scientific Awards: Fai Play Hizmet Madalyası (2018), TMOK Hüseyin has supervised 13 Master's theses on topics ranging from volleyball school participation to therapeutic exercises for the elderly. He has led national projects like "Bir Motif Bir İnsan" (2018) and "Sağlıklı Nesiller İçin Bir Adım Da Sen At" (2017), focusing on inclusive education and social skills development.

Upeksha Madanayakeمشاهده پروفایل

مدرس

• Quantity Surveying
• Construction Digitalization
• Artificial Intelligence Applications
• +۷ مورد دیگر

Dr. Upeksha Madanayake is a Lecturer in Quantity Surveying at the University of Reading, serving as Programme Director for BSc Quantity Surveying, BSc Building Surveying, BSc Construction Management, and BSc Construction Management and Surveying programmes. She is actively affiliated with the Organisations, People and Technology Research Group and Energy and Environmental Engineering Research Group, driving interdisciplinary collaboration in construction innovation. Her academic qualifications include a PhD in Construction and Engineering from London South Bank University (2021), MSc and BSc (Hons) in Construction Project Management and Quantity Surveying from Liverpool John Moores University (2013, 2012), and a PGCert in Higher Education with Fellowship of the Higher Education Academy (FHEA) from the University of Greenwich (2022). Research interests center on digital transformation in construction, particularly exploiting Building Information Modelling (BIM), Big Data Analytics, and Internet of Things (IoT) for competitive advantage, alongside AI applications for cost prediction and dispute resolution. She investigates circular economy principles, whole life costing methodologies, and organizational dynamics within construction firms, while also contributing to higher education pedagogy through work-based learning studies and academic wellbeing research. Recent publications reveal a pronounced shift toward artificial intelligence in construction economics, with consistent exploration of BIM implementation challenges across diverse contexts including the UK, Middle East oil and gas projects, and Small Island Developing States. Her work demonstrates strong international collaboration and practical focus on cost certainty, project delay mitigation, and sustainable infrastructure development. Scientific recognition includes: Fellow of Higher Education Academy (FHEA) 2022 She supervises five postgraduate students researching AI-driven cost prediction, dispute resolution, and BIM implementation in Mauritius. Her grant leadership encompasses UKIERI-funded sustainable concrete development and CHOBE-funded work-based learning studies as Principal Investigator, with Co-Investigator roles in Royal Society Industry 4.0 roadmap projects and IDOBE cultural governance research. As a core member of the Organisations, People and Technology Research Group, she contributes to advancing digital and sustainable construction practices through collaborative projects with industry partners and international institutions.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

• Physical Education
• Sports Psychology
• Adolescent Health
• +۴ مورد دیگر

José Enrique del Moral García is a Researcher in the Faculty of Education specializing in Physical Education and Sport at an institution in Castile and León, Spain. He is an active member of the GIADES research group (Research in physical activity, sport, and health), a Consolidated Research Unit of the regional government focusing on evidence-based health promotion through physical activity. His academic foundation includes a PhD from the University of Jaén (2010) with the thesis "Physical Activity and Body Composition in Andalusian Schoolchildren Aged 13-16. Analysis of Quality of Life and Motivations for Participating in Physical and Sports Activities," supervised by Dr. Emilio J. Martínez López. This research established his focus on youth health behaviors and motivational dynamics in physical activity contexts. His scholarly work centers on the psychological dimensions of physical education, particularly motivation drivers in school settings and their interplay with healthy lifestyle factors. He investigates critical contemporary issues including the relationship between physical activity and bullying/cyberbullying, Mediterranean diet adherence in adolescents, and digital media's impact on youth well-being. His research consistently bridges theoretical frameworks with practical educational applications, emphasizing school-based interventions for promoting holistic adolescent development. Analysis of his 2023-2025 publications reveals a sophisticated interdisciplinary approach integrating sports psychology, public health, and educational theory. His work demonstrates growing emphasis on digital behavior-physical activity interactions, with systematic reviews establishing causal pathways between screen time, physical inactivity, and social problems like bullying. The Mediterranean diet emerges as a recurring protective factor in his studies, examined through gender-specific and age-stratified lenses. As a core contributor to the GIADES research group, he participates in collaborative projects translating scientific findings into classroom practices. His methodological repertoire spans quantitative surveys, experimental interventions, and systematic reviews, with consistent focus on actionable outcomes for educators and policymakers seeking to enhance youth health through physical education.

Mario Paul Martínez Fabreمشاهده پروفایل

پژوهشگر

• Cinematography and digital post-production
• Video Game Design and Creation
• Illustration and Concept Art
• +۴ مورد دیگر

Mario Paul Martínez Fabre is a researcher and academic specializing in the intersection of digital media, video games, and audiovisual arts. He serves as director of the Massiva Research Group and co-director of the Expert Program in Video Game Design and Creation developed through collaboration between University of Alicante and Miguel Hernández University. His educational background includes a Fine Arts degree from Polytechnic University of Valencia (2002) and an International Doctorate from Miguel Hernández University (2015), where his thesis focused on Video Games in Film: Adaptations and Representations of Digital Play on the Cinema Screen , completed cum laude . His research interests center on the relationship between video games and cinema, digital post-production techniques, mass culture studies, and concept art. His work explores how gaming culture intersects with broader cinematic and artistic traditions, examining intertextuality, representation, and cultural meaning in digital media. His academic publications reveal a consistent focus on video game theory, digital art practices, and new media studies, with particular attention to machinima, virtual environments like Second Life, and the cultural significance of gaming interfaces. His work bridges theoretical analysis with practical creative applications. Beca pre-doctoral at University of Lausanne, Switzerland (2013) First mention at VII young art exhibition Font d'Art, Ontinyent (2007) First prize at IV Visual Arts Competition of Mutxamel (2006) Winning work at In-Urbe competition (2005) Multiple painting awards in Valencia region (2004) As an educator, he taught special effects, character design, and art with new technologies at City of Light Higher Education Center (affiliated with UMH) from 2007-2012. He has delivered invited lectures at University of Lausanne (2013) and University of Toulouse-Le Mirail (2013). His creative work has been exhibited by BilbaoArte Foundation, Sabadell Cam, UMH, Aguaclara publishing, and IVAM (Valencian Institute of Modern Art). He maintains an active artistic practice, creating illustrations for Diario Información's cultural supplement and designing covers for books, magazines, and music releases. His work has appeared in international festivals including Technarte (Bilbao), La Noche en Blanco (Madrid), and multiple editions of FIVECC International Video Clip Festival.

Darin DeWittمشاهده پروفایل

دانشیار

• American Politics
• Political Institutions
• Elites and Celebrity Politics
• +۲ مورد دیگر

Darin DeWitt serves as an Associate Professor in the Department of Political Science within the College of Liberal Arts at California State University, Long Beach. His research examines the interplay of institutions, elites, and ideas in American politics, with recent work focusing on celebrity elites and misinformation dynamics. Education PhD in Political Science, University of California, Los Angeles (UCLA) Research Focus DeWitt's scholarship centers on American political institutions, the influence of celebrity elites on public discourse, and the spread of conspiracy theories. He investigates how musicians and celebrities shape congressional hearings, how misinformation impacts elections, and the historical significance of Abraham Lincoln's leadership. His work frequently analyzes the intersection of media, elite behavior, and political mobilization. Publication Trends His 15 most recent publications (2015-2021) reveal consistent thematic threads: celebrity political engagement (2016-2019), Senate/congressional behavior (2017-2021), and conspiracy theory mechanics (2017-2019). Collaborative work with Matthew D. Atkinson dominates his output, particularly in analyzing celebrity testimony effects and conspiracy theory propagation. Current projects include a book titled "How Lincoln Won" with Thomas Schwartz. Scientific Recognition No formal awards or fellowships were documented in the source material Academic Contributions While student advising and grant funding aren't specified, DeWitt maintains active scholarly engagement through popular commentary in The Washington Post, London School of Economics blog, and Vox. His research bridges academic analysis with real-time political commentary on election forecasting, celebrity endorsements, and conspiracy theory impacts on policy agendas. Research Infrastructure No dedicated laboratories or formal research teams were referenced, though collaborative networks with UCLA-trained scholars and interdisciplinary partners in musicology and communications are evident through co-authored publications.

Volker Stockerمشاهده پروفایل

پژوهشگر

• Digital Infrastructures
• Internet Ecosystem
• Platform Economy
• +۱۱ مورد دیگر

Volker Stocker is a postdoctoral researcher and research group lead at the Weizenbaum Institute for the Networked Society (The German Internet Institute) and an associated researcher at the Technical University Berlin and the Max Planck Institute for Informatics . His interdisciplinary work bridges technology, economics, and policy in the context of digital infrastructures, platforms, and the Internet ecosystem. Head of Research Group, Weizenbaum Institute Postdoctoral Researcher, TU Berlin Associated Researcher, Max Planck Institute for Informatics Affiliated Scholar, Dynamic Competition Initiative (EUI & UC Berkeley) His research focuses on the economics, evolution, and regulation of digital systems, including generative AI, 6G, and cyber resilience. Recent publications analyze systemic risk evaluation under the Digital Services Act, mobile broadband measurement challenges, and sustainability reporting in tech companies. Volker earned his summa cum laude doctoral degree in economics from the University of Freiburg, with visiting appointments at TU Berlin, Northumbria University, and MIT. He co-organizes academic events, hosts the PLAMADISO Talks series, and serves as Vice Chair of the ITS Europe board. Summa cum laude doctoral degree Co-Chair, ITS Europe Program committee member and ERC advisory board participant

Baran Kaynakمشاهده پروفایل

استادیار

• Cloud Manufacturing
• Blockchain Technology
• Resource Allocation
• +۵ مورد دیگر

Baran Kaynak serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 2013 (promoted from Lecturer to Assistant Professor in 2022). His institutional affiliation spans teaching, research, and project leadership within Turkey's higher education framework. His educational trajectory culminates in a Doctorate in Industrial Engineering from Sakarya University (2012-2021) with thesis work on Blockchain-Based Cloud Manufacturing Model , preceded by a Master's degree (2011-2013) focusing on wireless sensor networks in manufacturing logistics and a Bachelor's in Industrial Engineering (2007-2011) from the same institution. Dr. Kaynak's research integrates cloud computing, blockchain, and AI to solve industrial and environmental challenges. Core contributions include hybrid decision support systems for cloud manufacturing resource allocation using genetic algorithms and AHP, GPU-accelerated solar potential analysis tools, and custom web components for earth science data (e.g., Geo-WC for NOAA/USGS integration). His work bridges theoretical algorithms with practical implementations in manufacturing, renewable energy, and hydrological systems. Recent publications (2023-2025) reveal expanding applications: digital twin frameworks for urban flood analysis, IoT platforms for hydrological education (HydroSignal), and mmWave sensor-based anomaly detection in assembly lines. These works consistently demonstrate cross-disciplinary innovation, particularly in adapting blockchain for secure resource sharing and developing real-time analytics for environmental monitoring. He leads the UZEP project (2020), a Sakarya University-funded cloud-based distance education platform developed during the pandemic. While no formal student advisees are listed, his research includes student consultancy services using AI for course grade prediction and adaptive neuro-fuzzy systems for academic success modeling. Dr. Kaynak collaborates with Sakarya University's Distance Education Research and Application Center and contributes to open-source tools for earth science organizations. His current work focuses on city-scale digital twins for climate resilience and blockchain-enhanced manufacturing ecosystems, positioning him at the intersection of industrial informatics and sustainable technology development.

• Security
• Theoretical Computer Science
• Formal Methods
• +۷ مورد دیگر

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.