Find Academic Supervisors

• Educational Technology
• Smart Learning Environments
• Digital Entrepreneurship
• +3 more

Pedro Antonio Garcia Tudela is a researcher at Universidad de Murcia specializing in Educational Technology, with a focus on Smart Learning Environments and Digital Entrepreneurship. He completed his PhD in 2023 with a thesis on intelligent learning environments supervised by Dr. María Paz Prendes Espinosa and Dr. Isabel María Solano Fernández. His educational background centers on advanced educational technology studies at Universidad de Murcia, culminating in his 2023 doctoral dissertation that established foundational frameworks for smart learning environments. This research positioned him at the forefront of educational innovation in Spanish-speaking contexts. Garcia Tudela's research explores the intersection of digital tools and pedagogical innovation, with emphasis on gamification, computational thinking development through Arduino, and digital entrepreneurship education. His work addresses critical gaps in teacher training for future classrooms and develops practical models like EmDigital for fostering entrepreneurial competencies in digital contexts. He investigates how educational escape rooms, flipped learning, and gender-inclusive technology integration transform learning experiences across K-12 and higher education. Analysis of his 15 most recent publications reveals a clear trajectory toward practical applications of educational technology: 40% focus on digital entrepreneurship frameworks, 30% on smart learning environment design, and 30% on gamification and computational thinking implementation. His research increasingly addresses cross-cultural applications, with comparative studies of future classrooms in Spain and Portugal. As an active thesis supervisor within the Educational Technology research group, Garcia Tudela mentors students in developing innovative educational methodologies. His work demonstrates strong industry-academia connections through practical frameworks for professional development and employability. The Educational Technology research group serves as his primary collaborative environment, driving projects that translate theoretical models into classroom applications while addressing contemporary challenges in digital education transformation.

• Steel Structures
• Cold-formed Steel Structures
• Stainless-Steel Structures
• +6 more

Hannah Blum serves as the Alain H. Peyrot Associate Professor in Structural Engineering within the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison. Her research program focuses on infrastructure resilience, next-generation structural design methodologies, and advanced visualization techniques including extended reality applications, supported by funding from federal agencies, industry associations, and private companies. Her academic credentials include a PhD in Civil Engineering from the University of Sydney (2017), complemented by MS (2012) and BS (2010) degrees in Civil Engineering from Johns Hopkins University. Dr. Blum's research program spans critical domains in structural engineering with particular emphasis on steel systems. Key focus areas include: Steel, cold-formed steel, and stainless-steel structural systems Steel deck and joist system behavior Structural stability and reliability analysis Virtual and augmented reality applications in structural steel fabrication Data-driven approaches to structural engineering problems Analysis of her 15 most recent publications (2023-2025) reveals a concentrated research trajectory centered on data-driven design methodologies, advanced material systems (particularly stainless steel and high-strength alloys), and immersive technology integration. Notable trends include machine learning applications for buckling prediction, experimental validation of novel structural systems, and mixed-reality solutions for fabrication processes. Her distinguished recognition includes: University of Wisconsin-Madison Chancellor’s Teaching Innovation Award (2024) College of Engineering Harvey Spangler Award for Innovative Teaching (2023) American Institute of Steel Construction Terry Peshia Early Career Faculty Award (2023) Structural Stability Research Council McGuire Award for Junior Researchers (2022) Structural Stability Research Council Yoon Duk Kim Young Researcher Award (2021) Dr. Blum actively mentors graduate students through CIV ENGR 790 (Master's Research) and 890 (Pre-Dissertator's Research) courses while securing diverse research funding streams. Her professional service includes active participation in steel design standards committees for structural, cold-formed, and stainless-steel systems through organizations like the Structural Stability Research Council. Her experimental and computational research requires specialized facilities for structural testing and digital visualization, though specific laboratory names are not documented in the provided materials. Current projects demonstrate strong industry collaboration, particularly with steel manufacturing and construction technology firms.

• Maritime Engineering
• Digital Twin Technology
• Marine Robotics
• +3 more

Hans Petter Hildre is Head of Department at the Department of Ocean Operations and Civil Engineering , part of the Faculty of Engineering at the Norwegian University of Science and Technology (NTNU). His work focuses on maritime engineering, digital twin technology, and marine operations. Research interests include: Digital Twin Applications in Maritime Industry Offshore Operations and Wind Turbine Installation Marine Robotics and Autonomous Systems Wave Field Estimation and Environmental Load Analysis Human-Machine Interaction in Maritime Contexts Co-simulation and Real-time Monitoring Recent publications highlight trends in: Wave shielding effects for offshore vessels Knowledge transfer from automotive/aviation to maritime Crane path planning using digital twins Visual attention zone recognition systems Hydrodynamic modeling and sensitivity analysis Smart city-maritime integration Scientific collaborations span institutions including: European Commission (Future Skills Reports) Royal Institution of Naval Architects The American Society of Mechanical Engineers (ASME) IEEE Transactions on multiple domains Springer Publishing

• Software Technology
• Artificial Intelligence
• Educational Software
• +5 more

Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.

• Machine Learning
• Time Series Analysis
• Text Mining
• +7 more

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.

Sebastian von MammenView profile

Professor

• Games Engineering
• Virtual Reality
• Interactive Simulations
• +3 more

Prof. Dr. Sebastian von Mammen is a tenured professor at the University of Würzburg's Institute for Computer Science, where he heads the Games Engineering research group and contributes to the Chair for Human-Computer Interaction. His group leads the Games Engineering academic program. Previously, he completed his habilitation (2012-2016) at the University of Augsburg's Chair of Organic Computing and was a postdoctoral fellow at the University of Calgary. His research spans: Real-Time Interactive Systems : Visual programming, immersion techniques, software engineering Interactive Simulations : Serious games for healthcare/logistics/construction Artificial Life : Self-organisation, adaptive systems, evolutionary computation Artificial Intelligence : Agent-based modeling, procedural content generation Recent publications (2023-2025) demonstrate strong focus on: Virtual reality applications in education (femtoPro optics simulator, BrainBuilder neuroanatomy) Healthcare technology platforms (VIA-VR for medical serious games) Game mechanics analysis (Match-3, Jump'n'Run flow) AI-driven emotion recognition and interactive systems Computational modeling of biological systems He leads the Games Engineering research group and previously participated in the Evolutionary and Swarm Design group (Calgary) and LINDSAY project. His lab develops VR simulations for scientific training and serious games applications.

Kevin PanView profile

Associate Professor

• Business Analytics
• Data Analytics in Finance
• Data Analytics in Accounting
• +5 more

Kevin Pan is an Associate Professor of Quantitative Analysis at Samford University’s Brock School of Business, where he teaches and researches at the intersection of business analytics, finance, accounting, management, healthcare, education, and Christian faith integration. Education Ph.D. in Biomedical Informatics, Stanford University M.S. in Electrical Engineering, Stanford University B.S. in Electrical Engineering (minor Mathematics), National Taiwan University Research Interests Dr. Pan’s work centers on leveraging data analytics to solve real-world problems in business and society. He explores financial fraud detection, corporate social responsibility, healthcare quality, and the ethical implications of data-driven decision making. A distinctive thread in his scholarship is the integration of Christian worldview with business analytics education and practice. Publication Trends His recent articles (2017-2023) reveal a dual focus: methodological contributions in data visualization and analytics education, and applied studies addressing opioid prescribing, hospital fraud, congregational fraud, and pandemic ethics. The work spans accounting, finance, healthcare, pharmacy, and business ethics journals. Service & Outreach He actively volunteers with Hope Heals , a Christian disability ministry founded by Samford alumni, and participates in local church activities in Birmingham, Alabama.

Silvia BonomiView profile

Associate Professor

• Cybersecurity
• Distributed Systems
• Blockchain
• +8 more

Dr. Silvia Bonomi serves as an Associate Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where she has held academic positions since 2006. Her career progression includes Research Fellow (2010-2011), Tenure Track Assistant Professor (2016-2019), and current Associate Professor appointment since 2019. She maintains her office in Room B114 and is actively engaged in research and teaching within the university's engineering faculty. Her educational background includes: PhD in Computer Engineering, Sapienza University of Rome and Institut de Formation Supérieure en Informatique et Communication (IFSIC/IRISA), Rennes, France (completed under advisors Prof. Roberto Baldoni and Prof. Michel Raynal) Dr. Bonomi's research critically examines dynamic distributed systems where entities autonomously join and leave networks, with applications spanning VANETs, airborne networks, social networks, and distributed cloud services. She pioneers work in Byzantine fault tolerance for mobile environments, blockchain security with emphasis on smart contract vulnerability analysis, and resilient cybersecurity frameworks integrating human factors. Her investigations into publish-subscribe systems focus on quality-of-service enhancements, while her peer-to-peer systems research addresses fundamental connectivity challenges in large-scale decentralized environments. This interdisciplinary approach bridges theoretical distributed computing with practical cybersecurity applications. Analysis of her 15 most recent publications (2021-2024) reveals dominant trends in blockchain security (particularly smart contract vulnerability taxonomies and analysis tool efficacy) and fault-tolerant distributed systems (reliable communication under Byzantine faults in dynamic networks). Her work increasingly integrates human factors into cybersecurity models and develops visual analytics for business-centric risk assessment. Publications span top venues including IEEE CSR, OPODIS, SAFECOMP, and journals like Computers & Security, demonstrating consistent contributions to both theoretical foundations and practical cybersecurity implementations.

• Cognitive Science
• Quantum Theory in Information Modeling
• Learning Analytics
• +6 more

Kirsty Kitto is an Associate Professor at the University of Technology Sydney in the Learning Design and Technology Unit. With a background in theoretical physics and computer science, her research focuses on developing quantum-inspired models of contextuality to understand complex human behavior in educational systems. She explores the intersection of Artificial Intelligence (AI) , Learning Analytics , and Educational Theory , seeking to bridge the divide between big data and pedagogical frameworks. Current Appointments : Associate Professor (2020-present), Senior Lecturer (2017-2020) Past Academic Roles : Senior Research Fellow (QUT), Senior Lecturer (QUT), Associate Lecturer (Flinders University) Her funded research includes projects on: Quantum models in cognitive systems (ARC Fellowship DP1094974) AI literacy in digital workplaces (IEEE Transactions study) Contextual learning analytics (DVC Education and Students Division) Skills passports for lifelong learning (UMAP 2024 paper) Kitto's recent work examines human-AI interaction in writing assessment, data storytelling for teacher-centered analytics, and causal modeling to strengthen educational theory-data connections. She actively supervises Masters and PhD students and contributes to policy debates through government submissions on generative AI in education. Her methodology combines mathematical formalism with sociotechnical analysis to address educational complexity.

• Artificial Intelligence
• Educational Technology
• Business Process Management
• +5 more

Darko Etinger is an Associate Professor and currently serves as the Dean of the Faculty of Informatics at Juraj Dobrila University of Pula in Croatia. His academic career spans over two decades with significant contributions to the fields of information systems, educational technology, and artificial intelligence. He teaches undergraduate courses including Artificial Intelligence, Business Information Systems, Business Process Management, ICT Fundamentals, Information Systems, Introduction to Artificial Intelligence, and Multimedia Systems. At the graduate level, he teaches Development of IT Solutions, IT Management, Modelling and Simulation, and Project Management. He also supervises doctoral research in Management of Information Technologies in Education. Dr. Etinger's research interests span several key areas in computer science and education technology. He has made significant contributions to understanding how information and communication technologies can support children with special educational needs, as evidenced by his 2024 and 2025 books on the topic. His work also focuses on business process management, educational data mining, and the application of artificial intelligence in educational contexts. His 2024 book 'Introduction to R and RStudio' demonstrates his commitment to data science education. Analysis of his recent publications shows a strong focus on practical applications of technology in education and business. His work spans educational robotics, learning management systems analysis, business process modeling, and the application of large language models in healthcare. He has a particular interest in how technology can be made accessible and beneficial for diverse learner populations, including those with special needs. His research often takes a human-centered approach, examining not just the technology itself but how it's adopted and used by end users. His 2025 bibliometric analysis of metaverse security demonstrates his ability to tackle emerging technological challenges. Associate Professor at Faculty of Informatics, Juraj Dobrila University of Pula Current Dean of Faculty of Informatics Author of multiple publications on educational technology and information systems Supervisor for numerous graduate theses on educational technology topics Active participant in EDIH Adria project as evidenced by 2025 publications Researcher in educational robotics implementation in Croatian schools Dr. Etinger has advised numerous students completing their theses, with a focus on educational technology applications. His research has been published in various international conferences and journals including IEEE Engineering Management Review, Procedia Computer Science, and System Dynamics Review. His current research appears to be heavily focused on the EDIH Adria project, which is a European Digital Innovation Hub initiative focusing on technology transfer and business innovation. He maintains an active research program with publications spanning from 2003 to the present, demonstrating sustained scholarly contribution to his fields of expertise.

Maneka MalalgodaView profile

Assistant Professor

• Food Science
• Nutritional Sciences
• Cereal Science
• +5 more

Dr. Maneka Malalgoda is an Assistant Professor in the Department of Food and Human Nutritional Sciences at the University of Manitoba's Faculty of Agricultural and Food Sciences. Her research focuses on grain chemistry, processing quality, and the development of healthy grain-based food systems. PhD in Cereal Science, North Dakota State University MSc in Cereal Science, North Dakota State University BSc in Medical & Pharmaceutical Biotechnology, University of Applied Sciences, Austria Dr. Malalgoda's research investigates the physicochemical properties of grain proteins and starches, their functionality in food processing, and the biological activity of grain biomacromolecules. She explores how these components contribute to nutritional value, safety, and structural integrity in bakery applications. Her recent publications highlight advancements in protein-enriched wholegrain bread, ancient grain processing optimization, oat protein health benefits, and pesticide residue impacts on cereal chemistry. Key trends include the use of analytical techniques (HPLC, LC-MS) and the intersection of traditional grains with modern nutritional needs. Dr. Malalgoda teaches courses in food science, including FOOD 4100: Current Issues in Food and Human Nutrition , FOOD 3220: Grains for Food and Beverage , and FOOD 3200: Bakery Science and Technology . She supervises graduate research at the University of Manitoba's Ellis Building facility.

• Legal Informatics
• Artificial Intelligence and Law
• Data Protection and Privacy
• +5 more

Erich Schweighofer serves as Associate Professor at the University of Vienna within the Institute for European, International and Comparative Law, specifically affiliated with the Department of International Law and International Relations. His research activities are centered at the Juridicum building (Schottenbastei 10-16, 1010 Vienna), where he maintains an active office presence with scheduled consultation hours. His scholarly focus spans Legal Informatics , Artificial Intelligence and Law , Data Protection , and Legal Knowledge Representation , with particular emphasis on explainable AI systems for legal contexts and formal methodologies for translating legal norms into computational frameworks. This interdisciplinary work bridges jurisprudence and computer science through projects examining biometric regulation, autonomous vehicle governance, and natural language processing applications in legal domains. Analysis of his 2021-2024 publications reveals consistent thematic progression toward operationalizing legal principles in AI systems, with increasing focus on transparency mechanisms, temporal logic for dynamic regulations, and cross-jurisdictional compliance challenges. His work predominantly appears in the International Legal Informatics Symposium (IRIS) proceedings and JURIX conferences, reflecting deep engagement with the legal informatics community. Professor Schweighofer leads a dedicated research team including project assistants Mag. Jessica Fleisch, Mag. Jonas Pfister, Felix Schmautzer, and Mag. Jakob Zanol, while actively participating in the University of Vienna's Working Group on Legal Informatics (Arbeitsgruppe Rechtsinformatik). His collaborative approach extends to organizing the biennial IRIS symposium, which has established itself as a cornerstone event for European legal informatics scholarship since 1998.

• Marketing
• Digital Transformation
• Sustainability
• +3 more

Dr. Alessandro Inversini is an Associate Professor at the EHL Hospitality Business School, part of HES-SO University of Applied Sciences Western Switzerland. His primary role involves teaching and researching in the Department of Global Hospitality Business, focusing on marketing, digital transformation, and sustainability within the hospitality and tourism sectors. Educational Background: No explicit educational details provided in the text. Research Interests: Explores the transformative impact of emerging technologies (e.g., AI, ChatGPT) on hospitality operations and customer experience. Advocates for regenerative and net-positive approaches to sustainability in the hospitality industry. Investigates CSR communication strategies on social media and cross-cultural dynamics in tourism reviews. Analyzes digital media’s role in B2B relationships and customer-centric frameworks. Article Trends: Recent works emphasize AI-driven changes in tourism, ethical digital transformation, and CSR practices. Key themes include regenerative hospitality, cultural review differences, and leveraging social media for transformative learning. Awards: No scientific awards explicitly listed. Advising & Grants: Guided research on regenerative hospitality in Lebanon and transformative homestay experiences in Malaysia. Contributed to international conferences like ENTER2016 and EuroCHRIE 2024. Labs/Teams: Collaborates with interdisciplinary teams on projects involving digital tools for rural development and ethical technology integration in hospitality.

• Sports Marketing
• Sports Management
• Consumer Behavior
• +3 more

Pedro Dionísio is a Full Professor and Director of the Post-Graduation in Management and Marketing of Sports at ISCTE - Instituto Universitário de Lisboa. He teaches Sports Marketing and oversees the Management and Marketing of Sports program. With a PhD from HEC Paris, his expertise spans sports marketing, fan behavior, and digital marketing strategies. He has authored 14 books, including the bestseller 'Mercator,' and his research explores topics like sports event management, sponsorship effectiveness, and consumer-generated content. Education: PhD in Management from HEC Paris. His research interests focus on the intersection of sports and marketing, including fan tribal behavior, sponsorship impact, and digital marketing trends. Notable works analyze the role of social media, volunteerism in nonprofits, and the economic impact of large-scale sports events. His recent publications address challenges in e-commerce loyalty systems and the evolution of marketing practices in the digital age. Dr. Dionísio contributes to the Marketing Futurecast Lab, exploring future marketing trends, and has conducted studies on piracy in academic publishing and donation drivers in religious vs. secular contexts. His work bridges theoretical marketing principles with real-world applications in sports, tourism, and consumer behavior.

Päivi HäkkinenView profile

Professor

• Educational Technology
• Collaborative Learning
• Computer-Supported Collaborative Learning (CSCL)
• +4 more

Päivi Häkkinen is a **Professor and Vice Director** at the **Finnish Institute for Educational Research (FIER)**, part of the University of Jyväskylä. Her research focuses on technology-enhanced learning, particularly in collaborative problem-solving, computer-supported collaborative learning (CSCL), and the integration of virtual/augmented reality in education. She leads projects like the EDUCA Flagship for future education and LearnDigi , exploring digitalization in learning. Research Interests: She investigates ICT integration in education, learning analytics, and the cognitive and social dynamics of collaborative learning. Her work emphasizes remote collaboration mechanisms, digital tools for assessment, and AI-driven educational innovation. Key Projects: EDUCA Flagship: Addresses future education challenges through interdisciplinary research. LearnDigi: Examines technology’s role in knowledge construction and digitalization impacts. METEOR: Enhances transversal skills for early career researchers via teamwork methodologies. Recent Work Trends: Her publications analyze joint attention in remote collaboration, AI-human partnerships in education, and neural bases of problem-solving. She emphasizes practical applications for teachers and educators. Labs/Teams: Active in FIER and LearnDigi, focusing on collaborative learning design and technology evaluation.