Find Academic Supervisors

• Computer Vision
• Image Processing
• Medical Imaging
• +3 more

Assoc. Prof. Elena Šikudová is an Associate Professor at the Faculty of Mathematics and Physics (Charles University) within the Department of Software and Computer Science Education . She has been affiliated with the Centre for Graphics and Geometric Computing (CGG) since 2017, where she leads the Computer Vision and Image Processing branch. Her teaching focuses on Machine Learning in Computer Vision , Computer Vision , and MATLAB Practicals . University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software and Computer Science Education Academic Rank: Associate Professor Email: sikudova@cgg.mff.cuni.cz Research Interests: Elena Šikudová specializes in Computer Vision and Image Processing , with a focus on Medical Imaging , AI for Content Creation , 3D Shape Classification , and Saliency Detection . Her work bridges theoretical advancements and practical applications in domains such as retinal blood vessel segmentation, cloud rendering for image-based lighting, and pedestrian trajectory analysis. Publication Trends: Her publications (2003–2025) emphasize Deep Learning , 3D Reconstruction , and Visual Perception . Key contributions include Generative Adversarial Networks (GANs) for realistic cloud imagery, Self-Attention Mechanisms in medical imaging, and Tone Mapping Operators for HDR images. She also explores interdisciplinary applications in art analysis and urban visualization. Teaching & Collaborations: Elena Šikudová supervises Computer Graphics and Vision Seminars and collaborates on projects like MUVIS (Participatory Urban Planning) and SPINKLAR-3D (Augmented Reality). Her research integrates tools like MATLAB and GPU acceleration for efficient image processing.

Oliver PoseggaView profile

Professor

• Socio-technical Systems
• Social Networks
• Artificial Intelligence Impact Analysis
• +7 more

Oliver Posegga is an interim Chair of Information Systems and Social Networks at the University of Bamberg and a principal investigator for the Volkswagen Foundation -funded project "Communicative Power in Hybrid Media Systems." He serves as a visiting scholar at MIT Sloan School of Management's Center for Collective Intelligence and leads the Department of Business Informatics, especially Social Networks since 2020. Diploma in Information Systems (2011), University of Cologne Ph.D. in Information Systems (2017), University of Bamberg Visiting Scholar (2019-2020), MIT Center for Collective Intelligence His research bridges information systems and social sciences to analyze: Collective dynamics in digital networks Impact of AI on organizations/society Social media's role in crisis management Data/information quality frameworks Discursive power in hybrid media systems Responsible AI integration Recent publications focus on AI literacy , ethical human-AI collaboration , and digital culture analysis across journals like Journal of Strategic Information Systems , PLoS One , and conferences ECIS , ICIS , HICSS . Key projects examine meme-based community boundaries, AI's effect on organizational learning, and crisis response systems. Scientific Recognition : Best Research in Progress Paper Award (2017)

Roland A. StürzView profile

Researcher

• Innovation policy
• Digital transformation
• Industrial evolution
• +4 more

Dr. Roland A. Stürz is Head of the Think Tank Department at the Bavarian Research Institute for Digital Transformation (bidt) in Munich, Germany. In this capacity he leads an interdisciplinary team that produces evidence-based studies on digitalisation for policy-makers, business and civil society. Previously he was a research associate at the Max Planck Institute for Innovation and Competition and at Ludwig Maximilian University of Munich’s Institute for Innovation Research, Technology Management and Entrepreneurship. Education Doctorate in Business Administration – Ludwig Maximilian University of Munich Master of Business Research – Ludwig Maximilian University of Munich Business Administration studies – LMU Munich & Copenhagen Business School Research Focus Dr. Stürz’s work centres on the intersection of innovation policy, digital transformation and industrial evolution. He investigates how firms, public institutions and society adopt new digital technologies, how policies can foster responsible innovation, and how labour markets and higher-education systems adapt to technological change. Recent emphases include the diffusion of generative artificial intelligence in everyday life and the workplace, the emergence of hybrid-remote work models, and the build-up of digital competences across the population. Article Landscape Over the last decade Dr. Stürz has published more than forty scholarly and policy-oriented pieces. His 2025 article in Idea and Innovation Management analyses generative AI’s impact on creativity and skill requirements at work, while the 2024 bidt-Digitalbarometer.international provides cross-country evidence on Germany’s digital strengths and weaknesses. Earlier work used large-scale German household surveys to chart the rapid normalisation of home office during the COVID-19 pandemic and to assess copyright compliance in digital content consumption. Scientific Awards & Recognition Regular keynote speaker at major national forums such as re:publica, the Festival of the Future, the AI Festival Heilbronn and the German Museum Munich. Frequent media commentator (Deutschlandfunk, Süddeutsche Zeitung, SZ Langstrecke). Teaching & Capacity Building Dr. Stürz teaches the course "Innovation Policy" at the Munich Intellectual Property Law Center, where he introduces graduate students to the economic and legal dimensions of innovation governance. He also mentors junior researchers at bidt and supervises empirical survey projects that involve interdisciplinary collaboration with computer scientists, economists and legal scholars. Labs & Teams As Head of the Think Tank Department at bidt he directs a team of researchers, data scientists and policy analysts who carry out representative population surveys, controlled field experiments and policy briefings. The department houses the long-running bidt-Digitalbarometer project and coordinates externally funded studies on AI effectiveness in higher education.

Pei XuView profile

Associate Professor

• Artificial Intelligence
• Digital Innovation
• Machine Learning
• +7 more

Pei Xu serves as the George Phillips Privett Associate Professor of Business Analytics within the Department of Business Analytics and Information Systems at Auburn University, a position she has held since 2014. Her academic work bridges technology, business, and societal impact through rigorous analysis of digital innovation's economic and social consequences. Her research program centers on Artificial Intelligence, Machine Learning, and Econometrics & Causal Inference applied to emerging domains including online user-generated content, social media for e-commerce and healthcare, crowdsourcing, and FinTech/Blockchain. She employs advanced quantitative methodologies such as natural language processing, social network analysis, and data scraping to extract insights from complex corporate datasets, contributing to high-impact journals like the Journal of Management Information Systems and Journal of Marketing. Recent publications (2022-2025) demonstrate a strong trajectory in business analytics, with works exploring AI service robots in hospitality, digital innovation in open-source platforms, online consumer behavior dynamics, blockchain applications across industries, and pandemic-related telehealth adoption. These studies consistently apply text analytics and causal inference to address pressing business challenges while revealing new patterns in digital ecosystems. Dr. Xu's scholarly contributions have been recognized through multiple awards: Faculty Research Award (2023) Teaching Award (2022) Editor’s Choice Award (2023) in the Big Data track of the Journal of Business Research In education, Dr. Xu teaches diverse business analytics courses across undergraduate and graduate levels including BUAL2650, BUAL5610, BUAL5860, and ISMN8020. She founded the Auburn Business Analytics Case Competition in 2022, which she coordinates annually to provide hands-on analytics experience. While specific grant details aren't publicized, her publication record in top-tier journals indicates successful research funding acquisition and impactful industry collaborations. Through the Business Analytics Case Competition and research initiatives, Dr. Xu cultivates collaborative environments that bridge academic theory with real-world business challenges, fostering student development and cross-disciplinary innovation in data-driven decision making.

• Cultural consumption
• Social inequalities
• Digital uses
• +3 more

Samuel Coavoux is an Assistant Professor of Sociology at ENSAE and a researcher at Crest in the Computational Social Science (CSS) research group. He holds a PhD in Sociology from ENS Lyon (2016) and previously worked as a digital researcher at Orange. His research focuses on cultural consumption, social inequalities, and digital culture, employing computational methods and mixed approaches. Research interests include: Cultural consumption patterns and inequalities Digital platform usage (Twitch, YouTube, streaming services) Algorithmic recommendation systems Museum visitor behavior Video game cultures and practices Environmental impact of digital consumption His publications (2014-2025) predominantly explore digital culture, algorithmic systems, and cultural consumption, with recurring themes in computational sociology, platform studies, and cultural inequalities. Recent work examines generative AI in social research, advertising algorithms, streaming environmental impacts, and music recommendation systems. Coavoux leads the 'Records' research project with Deezer, analyzing music streaming data to study cultural inequalities and algorithmic recommendations. He teaches courses on sociology and sociology of culture at ENSAE.

• Consumer Behavior
• Food Science
• Marketing
• +5 more

Elisabeth Steiner PhD serves as Head of the Institute for Marketing at the University of Applied Sciences Wiener Neustadt's Faculty of Business. Her academic leadership spans strategic research direction and institutional management within Austria's applied sciences sector. Her research focuses on consumer behavior at the intersection of food science and digital innovation, particularly examining sensory marketing , AI applications in marketing , and sustainable consumption patterns . Key methodologies include napping analysis, rapid sensory evaluation, and behavioral neuroscience approaches to understand texture perception, organic food acceptance, and climate-conscious food choices. Current research trends reveal growing emphasis on generative AI's impact on consumer trust and purchase decisions , with recent publications analyzing AI-generated product descriptions versus human-written content. Her work consistently bridges academic rigor with industry applications through projects like biscuit4all and climate-friendly food consumption initiatives. Professional engagement includes active participation in international conferences such as the French-Austrian-German Workshop on Consumer Behavior and DLG Lebensmitteltag Sensorik, demonstrating strong cross-border academic collaboration. Her research infrastructure leverages the university's Innovation Lab and Food Science laboratories, enabling interdisciplinary projects combining marketing theory with food technology and behavioral neuroscience. Current work examines virtual influencers, digital wellbeing, and climate-conscious consumption through multiple funded projects including biscuit4all (2022-2024) and Climate-friendly food consumption (2020-2023).

• Artificial Intelligence
• Marketing Communication
• Consumer Perception
• +4 more

Florian Goller is a Researcher at the Institute of Marketing within the Business faculty at the University of Applied Sciences Wiener Neustadt, specifically working at the Wieselburg Campus. His research focuses on the intersection of artificial intelligence and consumer behavior, with particular emphasis on how AI-generated content affects consumer perceptions and decision-making processes. Dr. Goller's research interests span several key areas in modern marketing and consumer science: Artificial Intelligence applications in marketing and consumer behavior Consumer perception of AI-generated versus human-created content Decision-making processes in digital environments Impact of branding versus eco-labeling on consumer choices Sustainability in consumer behavior and energy communities His recent publications demonstrate a clear trend toward examining how generative AI is transforming marketing practices, particularly in e-commerce contexts. Dr. Goller has investigated how AI-generated product descriptions affect consumer perceptions of product quality and purchase intentions, revealing important insights about consumer trust in AI-created content. His work also explores how traditional marketing elements like branding continue to influence consumer choices, even when sustainability information is provided through eco-labels. Dr. Goller has been actively involved in research projects including NETSE (2021-2024), which focused on communication interfaces for energy communities, examining how to integrate photovoltaic systems, battery storage, and electric charging stations into sustainable energy frameworks. His research combines technical aspects of energy systems with consumer behavior analysis, reflecting his interdisciplinary approach. Based at the Wieselburg Campus of the University of Applied Sciences Wiener Neustadt, Dr. Goller works within the Institute of Marketing and Department of Consumer Science, collaborating with various research and industry partners on projects related to sustainability, consumer behavior, and digital marketing innovations.

• Digital Marketing
• Consumer Behavior
• Social Media Research
• +3 more

Elisabeth Wolfsteiner is a Researcher at the Institute of Marketing of the University of Applied Sciences Wiener Neustadt. Her work focuses on digital marketing, consumer behavior, and sustainability communication, with a particular emphasis on social media dynamics and behavioral interventions. Research Associate at FHWN Active in digital well-being and food sustainability Recipient of Ella Award (2nd place, 2024) Her research explores: Parental social media use and children's digital well-being (DigiWell project) Authenticity of brand communication through selfies Application of virtual influencers in destination marketing Nudging strategies for climate-conscious consumption (biscuit4all project) Key trends in her publications (2023-2025) include: Consumer psychology in digital interactions Sustainability adoption mechanisms AI-generated content evaluation Meat alternative market dynamics Scientific recognition: 2025 Best Paper Award for sponsorship recognition research 2024 Ella Award for teaching innovation She contributes to multidisciplinary projects involving behavioral science, food technology, and digital marketing. Her collaborations extend to industry partners and academic institutions across Europe.

• Serious Games
• Game Development
• Human-Computer Interaction
• +5 more

Ran Zhang is a Senior Lecturer in Media Arts, Aesthetics, and Narration at the Department of Information Technology, School of Informatics, University of Skövde. Their work focuses on the intersection of game design, visual communication, and educational technology, particularly in the context of serious games and digital storytelling. University: University of Skövde School: School of Informatics Department: Department of Information Technology Academic Rank: Senior Lecturer Ran Zhang's research explores how visual elements and storytelling mechanics enhance learning outcomes in serious games. Key areas include cross-cultural game design, game-as-a-service models, and the application of combinatorial optimization to balance game units. They have published in journals like the International Journal of Serious Games and presented at conferences such as IEEE ICEBE and Sweden Game Conference . Recent publications highlight trends in: Visual communication for educational effectiveness Transition from product to service-oriented game development Localizing serious games for Nepalese audiences Optimization techniques in game mechanics Ran Zhang collaborates with researchers such as Hua Bai, Ulf Wilhelmsson, and Björn Berg Marklund. They coordinate bachelor-level courses in media and storytelling, emphasizing practical applications of game design principles in education and health contexts. Ran Zhang is actively involved in the University of Skövde's initiatives for sustainable digitalization and international collaboration through programs like INGENIUM and ShiftLabs . Their work bridges academic research with industry needs, focusing on human-centric technology development.

Silvia BRANEAView profile

Associate Professor

• Sociology of Communication
• Psychosociology of Organizations
• Media Discourse Analysis
• +5 more

Silvia BRANEA is an Associate Professor at the University of Bucharest's Faculty of Journalism and Communication Sciences, where she directs the master's program Comunicare și Resurse Umane and coordinates projects like POCU 132549 (entrepreneurship development) and ROSE (reducing university dropout rates). She holds a PhD in Psychology (2003) and leads international collaborations including the EU-funded Platform Europe project. Her research explores: Sociology of Communication : Media's role in shaping societal narratives and public perception. Organizational Dynamics : Psychosociology of change, internal communication, and negotiation strategies. Sustainability & Media : Framing of environmental issues, notably in food systems. Emerging Technologies : AI applications in communication and voice-based intention detection. Her publications exhibit interdisciplinary trends, blending media discourse analysis with political communication, sustainability studies, and computational approaches. Recent works focus on crisis narratives, pop culture discourse, and AI-driven communication models. She has led significant grants including: ROSE project (2019-2021) tackling university retention. POCU 132549 developing student entrepreneurship. AUF collaborations on climate change communication.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +5 more

Thomas Kosch serves as Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. His research group Human-Computer Interaction for Scientific Software develops innovative interfaces for scientific applications, with laboratory facilities at Rudower Chaussee 25, 12489 Berlin-Adlershof and administrative correspondence via Unter den Linden 6, 10099 Berlin. His research spans Human-Computer Interaction, Virtual/Augmented Reality, Artificial Intelligence, and Neurophysiological Computing. Key interests include cognitive augmentation through EEG/EMG systems, motor learning with electrical muscle stimulation, large language model integration in UX workflows, and privacy implications of tracking technologies. His work bridges theoretical HCI frameworks with empirical validation through controlled experiments involving physiological measurements and immersive environments. Analysis of his 15 most recent publications (all 2025) reveals three dominant trends: (1) Critical examination of LLM limitations through prompt-hacking and deceptive design studies, (2) Neurophysiological validation of cognitive phenomena using multimodal sensing (EEG/eye-tracking), and (3) Application-driven XR solutions for veterinary care, navigation, and motor assessment. These works consistently employ rigorous user studies with quantitative behavioral metrics. No scientific awards are documented in the provided materials, though his publication volume in top-tier venues (e.g., CHI, UIST) indicates significant field contributions. Professor Kosch actively supervises doctoral candidates, with at least one PhD defense (Michael Piechotta, Dipl.-Bio-Inf.) scheduled for September 2025. His research group likely secures competitive grants supporting equipment-intensive projects involving EEG systems, VR setups, and physiological sensors, though specific funding sources aren't detailed. The Human-Computer Interaction for Scientific Software group operates as an interdisciplinary hub combining computer science, cognitive psychology, and domain-specific applications. Current projects involve developing open-source tools like MorphoHaptics for medical imaging, MIRAGE for fall hazard detection, and Senscon for physiological sensing integration in VR controllers.

• Business modeling
• Markets and competition
• Creative industries
• +1 more

Deniss Ščeulovs is a Professor and Director of Study Programs at the Economics and Business Institute within the Faculty of Engineering Economics and Management at Riga Technical University. He holds a Dr.oec. degree and maintains active research and teaching responsibilities across multiple domains of business and economics. Professor Ščeulovs' research spans diverse fields including business modeling, markets and competition, creative industries, and the digital environment. His work demonstrates a particular focus on contemporary advertising, masculinity studies, media branding, and digital transformation. He has developed expertise in applying gamification techniques to business contexts and exploring sustainability transformation in corporate settings. His recent publications reveal a strong thematic concentration on gender studies in advertising, with numerous articles examining masculinity archetypes and consumer perceptions across generations. Simultaneously, he maintains significant research output in media branding, exploring audience perspectives on media brand uniqueness and non-product-related attributes. His work on blockchain applications for sustainable urban development and Society 5.0 represents his forward-looking approach to digital business transformation. Professor Ščeulovs actively participates in EU-funded research projects, serving as Senior Expert in EQUATION (2022-2025), Expert in Fostering Student Engagement through AI-driven Qualitative Quality Assurance Practices (2020-2023), Researcher in European Entrepreneurship Training Community (2018-2021), and Senior Researcher in projects focused on management competences and stress avoidance in organizational development (2017-2020). His professional toolkit includes certification as a LEGO SERIOUS PLAY facilitator, which he uses to engage students both in Latvia and internationally.

Linda Saulīte-SubatnieceView profile

Assistant Professor

• Branding
• Marketing
• Media Studies
• +3 more

Linda Saulīte-Subatniece serves as Assistant Professor at the Economics and Business Institute within Riga Technical University's Faculty of Engineering Economics and Management, while concurrently leading as CEO and Board Member of dentsu Latvia with over two decades of industry experience in marketing, media, and business management. Her dual academic-industry role positions her at the forefront of integrating theoretical research with practical marketing innovation. Her educational background features: PhD in Economics specializing in Branding and Marketing Research interests concentrate on branding dynamics in digital environments, with particular emphasis on media branding, audience behavior analysis, and artificial intelligence applications in marketing intelligence. Her work examines how non-product attributes influence media consumption, develops theoretical frameworks for media brands, and investigates generational differences in brand perception - especially among younger audiences in evolving media landscapes. This research bridges academic theory with real-world marketing challenges through empirical audience studies and cross-cultural analysis. Analysis of her 2020-2023 publications reveals consistent focus on media brand uniqueness phenomena, news media branding in digital contexts, and audience segmentation effects. Her work demonstrates increasing integration of AI concepts in marketing intelligence, with strong methodological emphasis on audience perspective analysis and cross-platform brand equity measurement. Key thematic threads include adaptation of branding strategies to fragmented media consumption and cultural specificity in brand perception. She actively participates in the EQUATION project (EQUalIty through AccreditaTION, 2022-2025), which examines accreditation frameworks for promoting equality in higher education. While her industry leadership at dentsu Latvia drives practical implementation of marketing innovations, her academic advising activities aren't explicitly documented in available sources.

Stefano GrazioliView profile

Professor

• Information Technology
• Digital Innovation
• Enterprise Architecture
• +3 more

Stefano Grazioli is a Professor and Academic Director of the M.S. in the Management of Information Technology (MSMIT) program at the McIntire School of Commerce, University of Virginia. With over a decade of leadership in the MSMIT program—which serves seasoned professionals averaging 14 years of work experience—he bridges advanced information systems with business strategy. His institutional affiliations include the Center for the Management of Information Technology, where he drives initiatives connecting academic research with industry applications. Grazioli holds a Ph.D. and M.S. in Management Information Systems and Computer Sciences from the University of Minnesota, and a B.S. in Business & Economics from Bocconi University, Milan. His educational background underpins his expertise in translating technical concepts into business value. His research spans three interconnected domains: Digital Innovation explores blockchain, IoT, and generative AI through courses like Digital Innovation and projects analyzing ChatGPT's business impact; Fraud Detection pioneers empirical studies on phishing and deception, including the first experimental analysis of internet fraud published in IEEE Transactions; and IT-Finance Integration develops algorithmic trading systems and risk management frameworks through initiatives like the IT Hedge Tournament. Recent work focuses on GenAI applications and Metaverse business models. Analysis of his 15 most recent publications reveals consistent emphasis on adversarial problem-solving in digital environments, with growing attention to AI ethics and value assessment since 2022. His work transitions from foundational fraud detection (2001-2006) to current explorations of emerging technologies' business implications. UVA All-University Teaching Award (2009) Order of Claw & Dagger Faculty Recognition Award (2018) Jefferson Scholars Foundation Excellence in Teaching Award (2022) Inaugural McIntire Teaching Fellow (2023) Grazioli mentors high-impact professionals, with dozens of students achieving C-suite positions across industries. His grant-funded projects with Bank of America, IRS, and KPMG address real-world challenges in risk management and system design. International initiatives like UVA in Argentina deploy student teams to solve SME business problems through technology, while his leadership in the MSMIT program shapes executive education globally. He directs the Center for the Management of Information Technology, fostering collaborations between academia and industry. Current projects examine generative AI implementation frameworks and metaverse business models, positioning his work at the intersection of emerging technologies and strategic management.

Anthony RiosView profile

Assistant Professor

• Biomedical informatics
• Computational social science
• Natural language processing
• +1 more

Dr. Anthony Rios is an Assistant Professor in the Department of Information Systems and Cyber Security at The University of Texas at San Antonio (UTSA), affiliated with the Alvarez College of Business. He holds a Ph.D. in Computer Science from the University of Kentucky (2018) and a B.S. in Computer Science from Georgetown College (2011). His research focuses on biomedical informatics, computational social science, natural language processing (NLP), and machine learning, with applications in healthcare and social media analysis. Dr. Rios has published extensively in top venues such as EMNLP, NAACL, AMIA, and JAMIA, and has received awards including a distinguished poster finalist award at AMIA 2014 and a best paper finalist at ICHI 2015. His work includes developing robust NLP systems for electronic medical records (EMR) coding, combating bias in AI systems (e.g., dialect biases in privacy policies), and enhancing cybersecurity through SQL-based threat detection frameworks. He leads the UTSA-NLP team, contributing to projects like ArchEHR-QA and Chemotimelines. Current research explores large language model (LLM) validation, ethical AI, and scalable evaluation of data visualization systems. Education: Ph.D. in Computer Science, University of Kentucky, 2018 B.S. in Computer Science, Georgetown College, 2011 Awards: 2014: Distinguished Poster Finalist Award, AMIA 2015: Best Technical Paper Finalist, ICHI Labs/Teams: UTSA-NLP Lab, focused on NLP applications in healthcare and cybersecurity