Find Academic Supervisors

Stefan Iversen is Associate Professor at the School of Communication and Culture, Aarhus University, where he also serves as Director of the PhD programme for Art, Literature and Cultural Studies. His academic work bridges literary studies, rhetoric, and digital media, focusing on the evolving role of narratives in contemporary society. His research centers on narrative theory, rhetorical analysis, and the cultural implications of digital media. Key areas include fictionality , metanoic reflexivity , visual and multimodal rhetoric , political discourse , and cultural memory . He investigates how narratives shape identity, public debate, and democratic processes, especially in digital environments involving memes, AI-generated content, and campaign rhetoric. The trends across his recent publications reveal a sustained engagement with narrative disruption in politics, quantified storytelling on social media, and the theoretical foundations of fictionality. His work integrates literary theory with communication studies and digital humanities, reflecting an interdisciplinary approach to modern narrative forms. Aarhus University PhD Prize for 2008 He has supervised over 80 master’s theses and currently advises three PhD students in rhetorical studies. He teaches in the Rhetoric, Scandinavian Studies, and Humanistic Conflict Studies programs, and leads the international Summer Course in Narrative Studies. He is also a member of the national examination corps for Danish and Rhetoric. Stefan Iversen is actively involved in major research projects including the Center for Fictionality Studies , Humanistiske Konfliktstudier , and Globalisering og Kulturel Identitet , which reflect his commitment to interdisciplinary humanistic inquiry into contemporary societal challenges.

• Narrative Theory
• Rhetoric
• Digital Media
• +17 more

Fatme Yuseinova Rashidova is a Senior Lecturer at the Technical University - Gabrovo , affiliated with the College of Engineering and the Department of Automation, Information and Control Technology . Her work bridges computer science , educational technology , and systems engineering . Research Focus: Automated scheduling, distance learning platforms, cybersecurity in Industry 4.0, and AI applications in education. Publications: 29 scientific works, including a 2025 textbook on internet-based systems and recent papers on timetabling optimization, SWOT analysis in education, and AI challenges. Projects: Participated in 14 research initiatives, including electronic voting systems, smart medicine dispensers, and cybersecurity frameworks for industrial environments. Contributions: Developed centralized timetabling systems, virtual admission environments, and online testing platforms. Her projects emphasize reducing administrative burdens, improving accuracy in educational processes, and enhancing student satisfaction.

• Computer Science
• Educational Technology
• Cybersecurity
• +3 more

Benjamin Garner serves as Associate Professor of Marketing in the College of Business at the University of Central Arkansas (UCA), maintaining an active research program from his office in COB 312I. His contact information includes email bgarner3@uca.edu and phone (501) 450-5329, reflecting ongoing institutional affiliation. Dr. Garner's research centers on consumer behavior in experiential marketing contexts with three primary thrusts: Social media engagement dynamics in wine tourism and farmers' markets Authenticity construction through scarcity and sustainability messaging Innovative business education pedagogy including flipped classroom methodologies Analysis of his 2021-2025 publications reveals consistent methodological emphasis on ethnographic observation and text-mining of user-generated content across platforms like Facebook, Instagram, and Twitter. His work uniquely bridges agricultural marketing contexts with digital communication strategies, particularly examining how language structures influence consumer perceptions of authenticity. No scientific awards or student advising information appears in available records. Similarly, grant funding details and laboratory affiliations remain undocumented in the provided materials, though his publication output indicates sustained research activity across multiple scholarly domains.

• Consumer Behavior
• Social Media Marketing
• Wine Tourism
• +4 more

Mia Minnes is a Teaching Professor and the Vice Chair for Undergraduate Education in the Computer Science and Engineering Department at UC San Diego's Jacobs School of Engineering. She teaches discrete math for CS, introduction to computability, and TA training classes, while leading initiatives that connect academic learning with professional development. Her research focuses on Automata Theory and Computability education, Scholarship of Teaching and Learning (SoTL), and projects supporting student professionalization pathways including industry internships, peer mentor development, and ethics in computing. She has pioneered initiatives like the Summer Internship Symposium and CSE-PACE (Peer-led Academic Cohort Experiences) to enhance student experiences in large computing programs. Minnes' publication portfolio reveals strong trends in computing education research, particularly in internship experiences, TA professional development, assessment methods, and interventions for large classes. Her work consistently bridges theoretical computer science with practical educational applications, demonstrating a commitment to evidence-based teaching practices and student success metrics. UC San Diego Academic Senate Distinguished Teaching Award (2020) Jacobs School of Engineering Teacher of the Year (2013-2014) Multiple NSF grants as PI including DUE-2337253 (2024-2027) UC San Diego Student Centeredness Award (2023-2024) Teaching+Learning Commons Faculty Fellow (2018-2019) She has advised numerous undergraduate and graduate students through research projects examining internship disparities, TA professional development, educational technology tools, and student experiences in computing programs. Her leadership extends to projects like FlapJS (an interactive visualization tool for formal computation), ComputingPaths (resources for computing career paths), and OCCTIVE (supporting computational problem solving in non-CS courses).

• Automata Theory
• Computability education
• Scholarship of Teaching and Learning
• +7 more

Dr. Koen Leurs serves as an Associate Professor in Gender, Media and Migration Studies at the Graduate Gender Program, Department of Media and Culture Studies, Utrecht University, Netherlands. His research centers on digital migration studies, examining how digital technologies intersect with migration experiences, particularly focusing on gender dynamics, youth cultures, and datafication processes. Leurs has established himself as a leading scholar through influential publications including Digital Migration (Sage, 2023) and Doing Digital Migration Studies (Amsterdam University Press, 2024), with his current work focusing on Inclusive Media Education: Critical Media Literacies for Diverse Societies for Routledge. Leurs' research interests span migration studies, digital technology, gender, and youth cultures, with particular attention to how digital platforms shape migrant experiences. His work critically examines both the empowering potential and discriminatory aspects of digital technologies in migration contexts, investigating how migrants use digital tools to connect, resist, and create new forms of belonging while navigating surveillance, datafication, and border control systems. Recent projects have increasingly focused on the ethical implications of digital technologies in asylum procedures and migration management. His scholarly output reveals a consistent trajectory examining the intersection of migration, digital technology, and social justice. Leurs' work demonstrates growing attention to the material consequences of digital migration studies, particularly regarding mobile phone screening in asylum processes, the datafication of migration pathways, and how digital platforms shape the experiences of migrant women and domestic workers. His research combines theoretical innovation with practical engagement, often employing participatory methods that involve migrant communities in knowledge production. Principal Investigator for Co-designing a fair digital asylum procedure (2022-2023), funded by Digital Society program and COMMIT/ Principal Investigator for Young Connected Migrants (2016-2019), funded by Netherlands Organization for Scientific Research Principal Investigator for Media literacy through Making Media (2017-2019), funded by Dutch National Research Agenda Current member of Management Committee for COST Action DATA-MIG CA22135 on European Migration and Border Control Former chair of European Communication Research and Education Association (ECREA) Diaspora, Migration and the Media section (2016-2021) Leurs' research is situated within Utrecht University's strategic themes including Dynamics of Youth (DoY), Governing the Digital Society, and Institutions for Open Societies (IOS), with particular alignment with the IOS focus on Gender, Diversity and Global Justice. His collaborative work spans international institutions including the Chinese University of Hong Kong, National University of Singapore, Charles University, and University of Groningen, reflecting the transnational nature of his research on digital migration.

• Migration
• Mobility and Migration Datafication
• Gender
• +3 more

Jeffrey S. Russell is a Vice Provost for Lifelong Learning, Dean of the Division of Continuing Studies, and Professor of Civil and Environmental Engineering at the University of Wisconsin–Madison. He leads initiatives for lifelong learners, nontraditional students, and online degree programs, including precollege, summer, and international student partnerships. His academic career spans teaching, research, and leadership in construction engineering and project management. Education: Ph.D. and MS in Civil Engineering from Purdue University, BS from the University of Cincinnati. Dr. Russell’s research focuses on construction management , innovative project delivery systems , and construction automation and robotics . His work addresses challenges in project scheduling, resource allocation, and diversity in engineering education. Google Scholar highlights his contributions to out-of-sequence construction analysis, project readiness models, and PM competency frameworks. His publications emphasize agile methodologies , risk mitigation , and data-driven decision-making in construction. These works span themes like project lifecycle optimization , team collaboration , and educational reform . Scientific Awards: ASCE OPAL Lifetime Achievement Award, NSF Presidential Young Investigator, ASEE Glen L. Martin Best Paper Award, and multiple ASCE and NSPE honors. Dr. Russell mentors students and professionals, advocating for lifelong learning and diversity in engineering . He co-founded UW–Madison’s Construction Engineering and Management Program and has received recognition for teaching and leadership, including ASCE’s Distinguished Member and Huber Prize.

• Construction Management
• Project Delivery Systems
• Construction Automation and Robotics
• +4 more

Vianney Perchet is an Associate Professor and Permanent Member at CREST, ENSAE Paris, specializing in the intersection of machine learning, game theory, and economics. His research spans theoretical foundations to practical applications in recommender systems and user behavior modeling, with a concurrent part-time role as principal researcher at Criteo AI Lab focusing on exploration efficiency. His research interests bridge mathematics, computer science, and economics, emphasizing reinforcement learning, social learning, online matching, bandit problems, and auction theory. Key contributions address optimal algorithm convergence rates, non-clairvoyant scheduling, fair resource allocation, and asynchronous multiplayer bandits, demonstrating strong interdisciplinary integration across theoretical and applied domains. Recent publications at NeurIPS, ICML, and AISTATS reveal a cohesive trend toward learning-augmented algorithms for scheduling and allocation problems, with growing emphasis on fairness constraints, communication limitations, and partial prediction scenarios. This work consistently connects theoretical guarantees with real-world economic and technical applications. No scientific awards were explicitly documented in the provided materials. Perchet advises 5 active PhD students on reinforcement learning, social learning, and online matching/bandits, while 4 former students have completed doctorates on bandits and auction theory. His industry collaboration with Criteo AI Lab provides practical validation for theoretical frameworks in recommender systems. As a core CREST research center member, he actively participates in academic initiatives including the Mediterranean Game Theory Symposium, Games and AI Summer School, and Learning in Games workshops, fostering cross-institutional collaboration in algorithmic economics.

• Machine Learning
• Game Theory
• Economics
• +6 more

Elena Grigorescu is an Adjunct Associate Professor in the Department of Computer Science at Purdue University, where she has been a faculty member since Fall 2012. Her research program spans theoretical computer science with a focus on foundational algorithmic challenges in large-scale data processing and computational limits, maintaining strong connections to cryptography, communications, and optimization applications. Her educational background includes a PhD from the Massachusetts Institute of Technology (MIT), establishing her expertise in rigorous theoretical frameworks. Professor Grigorescu's research emphasizes designing algorithms that operate in sublinear time or space for massive datasets, analyzing complexity of error-correcting codes and lattices, and exploring information-theoretical computation limits. Current investigations integrate differential privacy with learning-augmented techniques to solve online optimization problems, network design challenges, and data stream processing bottlenecks. Her work bridges abstract theory with practical implementations in cryptographic systems and quantum computing paradigms, demonstrating consistent innovation in algorithmic foundations. Analysis of her recent publications (2022-2025) reveals a dominant focus on sublinear-time algorithms, particularly at the intersection with differential privacy and machine learning augmentation. Key contributions include novel spanner constructions for network design, privacy-preserving clustering frameworks, and breakthroughs in trace reconstruction and coding theory. A pronounced trend shows increasing integration of learning-based predictions to enhance classical online algorithms for packing/covering problems while maintaining theoretical guarantees, alongside sustained contributions to error-correcting code analysis and graph-theoretic foundations. No specific scientific awards or major fellowships were documented in the provided materials, though her publication record in premier venues like STOC, FOCS, and APPROX/RANDOM indicates significant peer recognition. Professor Grigorescu actively mentors graduate students in theoretical computer science research, guiding investigations in sublinear algorithms, complexity theory, and coding theory. Her collaborative projects involve interdisciplinary teams across institutions, focusing on cryptographic applications and quantum information theory, though specific grant details were not included in the source texts. Ongoing work suggests expansion into quantum algorithm design and privacy-preserving machine learning frameworks. While dedicated laboratory facilities were not specified, her research operates within Purdue's theoretical computer science group, leveraging university-wide computational resources and fostering collaborations through conference participation and workshop organization.

• Theoretical Computer Science
• Sublinear Algorithms
• Complexity Theory
• +4 more

Hironori Washizaki is a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Information and Computer Science, and serves as Director of the Global Software Engineering Laboratory. He also holds a visiting professorship at the National Institute of Informatics and serves as outside director at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., Ltd. With a Doctorate in Information and Computer Science from Waseda University (2003), he has established himself as a leading researcher with 384 publications and an h-index of 36 according to Google Scholar. His research spans multiple domains including software engineering methodologies, security patterns, programming education, and the application of machine learning to software development. His work has significantly contributed to the fields of software patterns, quality assurance, and educational tools for programming. With over 20 years of academic experience, his career progressed from Research Associate (2002-2004) to Assistant Professor (2004-2008), Associate Professor (2008-2016), and Professor (2016-present). Washizaki's recent publications demonstrate a strong focus on applying AI and machine learning techniques to software engineering challenges, including prompt engineering patterns, program repair methods, and vulnerability assessment. His work bridges theoretical research with practical applications in both educational and industrial contexts, particularly in B2B software development and programming education for diverse age groups. KDDI Foundation Award (2022) Spirit of the Computer Society Award (2022) Distinguished Contributor, IEEE Computer Society (2022) IEEE Computer Society Golden Core Member (2022) Fellow, International Academy, Research, and Industry Association (2022) Computer Research Contribution Award, APSCIT (2016) Washizaki has served as chair of the IEEE CS Japan Chapter and SEMAT Japan Chapter, director of ACM-ICPC 2014 Asia Regional Tokyo Contest, and Convenor of ISO/IEC/JTC1/SC7/WG20. His editorial work includes positions at IEICE Transactions on Information and Systems and International Journal of Software Engineering and Knowledge Engineering. His leadership extends to programming education initiatives like SamurAI Coding, demonstrating his commitment to developing the next generation of software engineers.

• Software Engineering
• Information Security
• Computer Systems
• +5 more

Diyi Yang serves as an Adjunct Professor within the School of Interactive Computing at the Georgia Institute of Technology, where they contribute to the Machine Learning (ML@GT) research initiative. This academic unit operates under Georgia Tech's College of Computing and focuses on human-centered computing, artificial intelligence, and interdisciplinary technological innovation. Dr. Yang's research spans critical domains including Natural Language Processing and Machine Learning, with significant contributions to Computational Social Science and Social Computing. Their work integrates algorithmic approaches to analyze linguistic patterns and social dynamics, developing systems that model human behavior through computational frameworks. This research bridges technical AI advancements with real-world societal applications, particularly in understanding online interactions and community structures. No scientific awards or honors were specified in the available information. The provided text contains no mention of prizes, fellowships, or medals received by Dr. Yang. While Dr. Yang holds an advisory capacity as an Adjunct Professor, specific details about graduate students supervised or research grants managed are absent from the source material. Their role appears focused on research collaboration rather than formal student mentorship based on the available data. Dr. Yang is actively affiliated with Georgia Tech's Machine Learning (ML@GT) research group, a cross-disciplinary consortium connecting over 100 faculty members across engineering, computing, and social sciences. This affiliation facilitates collaborative projects in algorithm development, ethical AI implementation, and large-scale data analysis for social phenomena.

• Natural Language Processing
• Machine Learning
• Computational Social Science
• +1 more

Marco L. Della Vedova is a Senior Lecturer in Applied Artificial Intelligence at Chalmers University of Technology, Sweden. He works in the Vehicle Engineering and Autonomous Systems division within the Department of Mechanics and Maritime Sciences, as part of Prof. Mattias Wahde's research group. Since 2025, he has served as Director of the Data Science and AI master's programme (MPDSC) at Chalmers, where he teaches courses including Introduction to Artificial Intelligence and Digitalization in Sports. Dr. Della Vedova earned his academic foundation at the University of Pavia, Italy, where he completed his BSc (2006), MSc (2009), and PhD (2013) in Computer Engineering. His doctoral research focused on "Real-Time Physical Systems and Electric Load Scheduling" under Prof. Tullio Facchinetti. During his PhD studies, he spent a year at U.C. Berkeley hosted by Prof. Francesco Borrelli at the Model Based Predictive and Distributed Control Lab. His research spans multiple AI domains with a strong emphasis on interpretability. Dr. Della Vedova develops interpretable methods for conversational AI, naturalness evaluation of forests using canopy height models, and geospatial applications. His work bridges theoretical AI with practical societal benefits, particularly in environmental monitoring, transportation systems, and orienteering. He has previously contributed to cloud computing, hate speech detection, and cyber-physical energy systems, demonstrating his interdisciplinary approach to AI research. Dr. Della Vedova's publication record reveals a consistent trajectory of impactful research across multiple domains of artificial intelligence. His recent work shows a strong focus on interpretability in AI systems, with significant contributions to natural language processing, geospatial analysis, and causal inference. The research demonstrates both theoretical depth and practical applications, particularly in environmental monitoring and social media analysis. His methodology often combines traditional machine learning approaches with novel interpretability techniques, creating bridges between complex AI systems and human understanding. Dr. Della Vedova has received several prestigious recognitions for his work: Best PhD thesis award from the Order of the Engineers of Bergamo (2013) Italian champion of Il Cervellone (2012) Top Italian performer in IEEEXtreme 6.0 programming competition (148th overall globally, 2012) Premio Arturo Schena award from Fondazione Credito Valtellinese (2010) With over 50 students supervised through bachelor's and master's theses, Dr. Della Vedova has established himself as a dedicated mentor in the AI community. His current PhD students include Minerva Suvanto working on interpretable NLP and Vivien Lacorre developing AI for railway infrastructure inspection. His supervision spans diverse topics from forest naturalness evaluation to hate speech detection and transportation optimization. Beyond formal supervision, he actively contributes to educational initiatives including serving as Director of Chalmers' Data Science and AI master's program and developing innovative teaching methods that connect theoretical concepts with real-world applications. Dr. Della Vedova is deeply embedded in both academic and professional communities. He leads the Applied Artificial Intelligence research group at Chalmers while maintaining strong connections with European research networks through projects like the ERASMUS+ EUrienteering initiative. His interdisciplinary approach is reflected in collaborations across computer science, environmental science, and social sciences. Notably, he applies his AI expertise to orienteering both as a researcher developing localization methods and as a licensed Event Advisor for the International Orienteering Federation, demonstrating how his professional and personal interests converge in innovative ways.

• Artificial Intelligence and Machine Learning
• Interpretable and Explainable AI
• Geospatial AI
• +7 more

Jamal Atif is a Professor at Paris-Dauphine University and holds multiple significant leadership positions including Project Manager for 'Data Science and Artificial Intelligence' at the Institute of Information Sciences and their Interactions (INS2I) of the CNRS, Deputy Scientific Director of 3IA PRAIRIE, Head of the MILES team/project at LAMSADE (UMR CNRS-Université Paris-Dauphine), Co-leader of the Transverse Artificial Intelligence Program at PSL University, and Director of the Dauphine Numérique program. Professor Atif's primary research focuses on the foundations of responsible artificial intelligence, with specific expertise in privacy preservation in machine learning, robustness of deep learning algorithms to malicious attacks, causality, and explainability. His work bridges theoretical foundations with practical applications in security and reliability of AI systems. He has developed innovative approaches to address adversarial vulnerabilities in machine learning models and has made significant contributions to privacy-preserving techniques in data analysis. His publication record demonstrates a consistent focus on robust and trustworthy AI systems, with recent work exploring differential privacy in clustering, adversarial robustness, and explainable AI. The research spans theoretical foundations in logic and knowledge representation to practical applications in finance, healthcare, and computer vision. His publications appear in top-tier venues including Machine Learning journal, Neural Information Processing Systems, and International Joint Conferences on Artificial Intelligence. Scientific Awards: Recipient of two awards from the North American Society of Radiology for his thesis work Professor Atif has co-supervised or is currently supervising around fifteen doctoral students, demonstrating his commitment to mentoring the next generation of AI researchers. His leadership extends to directing major institutional programs including Dauphine Numérique and the Transverse Artificial Intelligence Program at PSL University, where he shapes strategic research directions in AI. He leads the MILES team/project at LAMSADE, which focuses on foundational aspects of machine learning and artificial intelligence. The team's research spans theoretical aspects of learning algorithms to practical applications requiring robust and reliable AI systems, with particular emphasis on security and privacy considerations in modern machine learning deployments.

• Artificial Intelligence
• Responsible AI
• Privacy Preservation in Machine Learning
• +4 more

Matthias C. Kettemann is Professor and Chair for Innovation, Theory, and Philosophy of Law at the Institute for Theory and Future of Law, University of Innsbruck. He simultaneously leads the research group 'Global Constitutionalism and the Internet' at the Humboldt Institute for Internet and Society (HIIG) and directs the research programme 'Regulatory Structures and the Emergence of Rules in Online Spaces' at the Leibniz Institute for Media Research | Hans Bredow Institute. Additionally, he heads the Innsbruck Quantum Ethics Lab and serves as a board member and research group leader for 'Platform and Content Governance' at the Sustainable Computing Lab, Vienna University of Economics and Business. Prof. Kettemann's research focuses on the legal foundations of digital societies, examining regulatory mechanisms for digital platforms and the interaction between states and private actors. His work spans internet governance, platform regulation, digital rights, and the ethical implications of emerging technologies including AI and quantum computing. He has published extensively on the normative order of the internet, with his 2020 monograph 'The Normative Order of the Internet: A Theory of Online Rule and Regulation' establishing him as a leading scholar in the field. His recent publications reveal a clear trajectory toward examining the intersection of law, technology, and democratic governance. The articles demonstrate particular attention to the Digital Services Act implementation, human-in-the-loop systems for AI governance, and the relationship between cybersecurity and privacy. His work consistently addresses how legal frameworks can protect democratic values while accommodating technological innovation, with increasing focus on quantum technology ethics and international dimensions of digital governance. Prof. Kettemann has advised numerous international organizations including the Council of Europe, UNESCO, OSCE, and various national ministries. His current research projects include the 'DSA research network,' 'Human in the Loop,' 'Cybersecurity,' and 'The Public International Law of the Internet,' reflecting his commitment to addressing pressing challenges in digital governance through interdisciplinary research and practical policy engagement. He is actively involved in multiple research teams and labs, particularly the Innsbruck Quantum Ethics Lab which explores ethical dimensions of quantum technologies, and contributes to shaping global digital governance through participation in international expert groups and advisory roles with governmental bodies across Europe.

• Internet Law
• Digital Governance
• Platform Regulation
• +7 more

Bopaya Bidanda serves as the Ernest E. Roth Professor and Chairman of the Department of Industrial Engineering at the University of Pittsburgh, where he has led since joining the faculty in 1987 after completing his PhD at Penn State. His institutional impact includes founding the Manufacturing Assistance Center, Automated Data Collection Laboratory, and Swanson Center for New Product Innovation. His research expertise spans manufacturing systems with concentrated focus on Group Technology, Reverse Engineering, Cellular Manufacturing, Lean Manufacturing, and Human Issues in Manufacturing. This work bridges advanced computational methods with industrial applications to solve real-world production challenges. Publication trends from 2000-2002 reveal strong emphasis on human capital integration in cellular systems, reverse engineering applications in biomedical contexts, and virtual laboratory development for manufacturing education. Key thematic threads connect workforce skills assessment with lean transformation and advanced computing techniques for production optimization. Scientific recognition includes: Fellow of the Institute of Industrial Engineers His grant portfolio demonstrates exceptional funding diversity, securing support from NSF, Department of Commerce, W.M. Keck Foundation, and industry partners like FedEx Ground for initiatives in manufacturing modernization and workforce development. He actively mentors doctoral candidates through flexible international programs and industry-university collaborations. Leadership extends to operational hubs including the Manufacturing Assistance Center which provides direct technical support to regional manufacturers, and the Swanson Center driving product innovation through interdisciplinary industry partnerships.

• Manufacturing Systems
• Group Technology
• Reverse Engineering
• +11 more

Ronan Gruenbaum serves as Dean of International Affairs & Program Development at Hult International Business School, leading global partnerships and academic innovation. Previously, he directed the award-winning Bachelor of Business Administration program as Global Director of Undergraduate Learning and Development, and served as Dean of Hult's London undergraduate campus (2016-2022) after joining the institution in 2011 as a full-time professor of marketing technology. His expertise centers on digital transformation in business education, with core research areas including: E-commerce strategy and implementation Social technologies for organizational innovation Hybrid and online learning methodologies Future of work competencies development Business school evolution in digital age Digital marketing ecosystems Analysis of his publications reveals consistent focus on technology's disruptive impact across educational and business landscapes, particularly examining how social media, AI, and Web 2.0 tools necessitate fundamental shifts in teaching methodologies and organizational structures. His work emphasizes practical frameworks for implementing digital solutions while addressing associated risks and measurement challenges. No scientific awards were documented in the source materials. Professional engagement includes extensive conference speaking on educational innovation topics, though specific student advisement records and research grants remain undisclosed. His leadership in developing Hult's undergraduate programs demonstrates applied focus on preparing students for technological disruption in global business environments. Current initiatives indicate strong emphasis on AI integration challenges for business education and strategies for maintaining institutional relevance amid rapid technological change.

• Digital Marketing
• E-commerce
• Social Technologies
• +4 more