جست‌وجوی استاد و پژوهشگر

Atsushi Fukadaمشاهده پروفایل

استاد

• Pragmatics
• Japanese Linguistics
• Computer-Assisted Language Learning
• +۳ مورد دیگر

Atsushi Fukada is a Professor at Purdue University, affiliated with the School of Languages and Cultures and the School of Integrative Studies . Holding a Ph.D. in Japanese Linguistics from the University of Illinois at Urbana-Champaign, he specializes in pragmatics, computer-assisted language learning (CALL), and foreign language education. University: Purdue University School: School of Languages and Cultures; School of Integrative Studies Research Focus: Oral fluency assessment tools, CALL curricula, Japanese language pedagogy Research Interests center on applying technology to language education, analyzing speech patterns in L2 learners, and developing standardized oral proficiency metrics. His work explores virtual instructors, timed dictation methods, and longitudinal fluency studies. Recent Publication Trends highlight Computer-Assisted Language Learning innovations, oral fluency analytics via software tools, gamification in language acquisition , and online curriculum frameworks for Japanese and Chinese instruction. Articles span 2013–2023, emphasizing CALL integration and multimodal language practice . Contact: Office at SC G020, email afukada@purdue.edu

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۵ مورد دیگر

Edoardo Battegazzore is a Research Fellow at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino , where he also serves as an external lecturer and teaching assistant. His work spans virtual and augmented reality applications in medical training, cognitive psychology, and public safety, supported by funded projects such as Holo-BLSD (2024-2025). Education: Completed his PhD (XXXV Cycle) with a thesis titled "Virtual and Augmented Reality Applications for Public Health and Safety" (2024), advised by Andrea Bottino and Fabrizio Lamberti Research interests focus on: Virtual Reality (VR) and Augmented Reality (AR) for medical training and cognitive testing Human-Computer Interaction in collaborative AR environments Simulation Modeling for seismic and pedestrian evacuation dynamics Gamification in education and behavioral studies Recent publications highlight trends in VR/AR applications for prosthetics, airway management, and public health, alongside behavioral studies on cooperation and competition. His work also covers usability evaluations of AR/VR devices for industrial and emergency training. Current affiliations include: CGVG - Computer Graphics and Vision Group (DAUIN) Collaborator on funded projects like Holo-BLSD (2024-2025)

• Software Engineering
• Gamification
• Mobile Computing
• +۷ مورد دیگر

Giacomo Garaccione is a Ph.D. candidate in Computer and Systems Engineering at the Polytechnic University of Turin , affiliated with the Department of Control and Computer Engineering (DAUIN) and the SOFTENG - Software Engineering Group . He holds an MSc in Computer Engineering (Software) from the same institution. Current Role : Ph.D. candidate (38th cycle, 2022-2025) Teaching : External lecturer and teaching assistant for Information Systems and Software Engineering courses in Engineering and Management and Computer Engineering programs (2022-2025). His research focuses on applying gamification to software engineering education , with emphasis on conceptual modeling and GUI testing . He develops gamified tools like UMLegend and GERRY , integrating artificial intelligence and natural language processing for automated model validation and feedback. Publications analyze gamification’s impact on student productivity and perception in UML/BPMN education. Scientific recognition : Nominated for merit awards (2025). Collaborator on multiple studies involving large language models and gamified IDE plugins , with ongoing work to create a comprehensive gamified environment for software modeling and requirements training.

• Software Engineering
• E-Learning
• Cybersecurity
• +۳ مورد دیگر

Luis Fernandez Sanz is a Professor in the Department of Computer Science at the University of Alcala (Spain). His primary affiliation is with the 'Information Technologies for Training and Knowledge' research group, where he investigates e-learning systems, software quality, cybersecurity, and digital accessibility. Research Focus: Professor Sanz's work spans: Development of adaptive e-learning platforms and accessibility standards Software quality measurement and testing methodologies Cybersecurity in cloud computing and data science applications Integration of gamification in educational technology EU digital competence frameworks and industry skill alignment Project Leadership: He has secured significant EU funding for projects including: DEDALUS (data literacy courses for universities) Be@CyberPro (cybersecurity career awareness game) e-Skills Match (ICT professional standards) Multiple contracts with UNINFO and European Commission bodies Teaching: He instructs courses in Software Quality/Testing, Project Management, and ICT applications across undergraduate and graduate computer engineering programs. Scholarly Output: His publications demonstrate consistent focus on emerging technologies, with recent work analyzing AI security threats, blockchain applications in banking, sustainable IoT systems, and accessibility engineering. Research often incorporates empirical validation and industry collaboration.

Zuzana Kubincováمشاهده پروفایل

استاد

• Computer Science Education
• Programming Education
• Database Education
• +۳ مورد دیگر

Professor Zuzana Kubincová serves as a Professor at the Department of Didactics of Mathematics, Physics and Informatics within the Faculty of Mathematics, Physics and Informatics at Comenius University in Bratislava, Slovakia. Her academic profile combines teaching responsibilities across programming and database courses with research focused on innovative assessment methodologies in computer science education. Her research expertise spans: Computer Science Education pedagogy Programming education techniques including code review implementation Peer assessment systems and digital badge applications Teamwork evaluation frameworks for collaborative learning Gender stereotype analysis in computing through cultural adaptation of the Draw-A-Scientist Test Professor Kubincová's scholarly contributions reveal a consistent focus on practical assessment tools that bridge professional software engineering practices with educational contexts. Her recent publications demonstrate particular innovation in developing 'negative badges' as constructive feedback mechanisms and adapting industry code review processes for classroom implementation. She actively supervises master's thesis students through the Diploma Thesis Seminar while teaching core courses including Programming (3), Database Principles, and the International Team Research Project. Her collaborative research network includes prominent colleagues like Iveta Demková and Martin Homola, with publications appearing in respected venues such as the Advances in Intelligent Systems and Computing series and the Journal of Universal Computer Science.

• E-learning
• Programming Languages
• Project Management in Software Development
• +۲ مورد دیگر

Hristina Kostadinova is an Assistant Professor in the Department of Informatics at New Bulgarian University. She previously held positions as a Chief Assistant at NBU (2016-present) and Honorary Assistant roles at both NBU and American University in Bulgaria (2013-2015). Her educational background includes a PhD, Master's, and Bachelor's degree in Informatics from South-West University 'Neofit Rilski'. Her research focuses on three primary domains: E-learning systems : Development of adaptive courses, gamified training, and automated assessment tools Programming education : Innovative teaching methods for Java and other languages Educational technology : Implementation of Moodle-based solutions and conceptual mapping techniques Recent publications demonstrate strong emphasis on automated test generation, adaptive learning frameworks, and gamification in programming education for diverse audiences including children and vocational students. Her work consistently integrates pedagogical theories with technical implementations. No scientific awards are mentioned in available documentation. Current courses taught include Java programming and related technical subjects. No information is available regarding research grants, student advising, or laboratory affiliations.

Adam Pererمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Adam Perer is an Assistant Professor at Carnegie Mellon University within the Human-Computer Interaction Institute . His research focuses on data visualization , machine learning , and human-AI collaboration systems, particularly in healthcare contexts. Co-directs the Data Interaction Group Area Papers Chair at IEEE VIS PhD in Computer Science from University of Maryland Former Research Scientist at IBM Research His work integrates visual analytics with machine learning to create interactive systems for clinical data analysis , AI interpretability , and exploratory data science . Recent publications demonstrate applications in epidemiology , ICU medicine , and child welfare decision-making . Key research themes: Designing collaborative AI interfaces Visualizing embedding spaces for ML Interactive clinical decision support tools Explainable AI systems evaluation Temporal data exploration techniques Awards include Best Paper Honorable Mentions at CHI and EuroVis, plus Most Reproducible Paper recognition. He advises multiple PhD candidates and teaches courses in Data Visualization and Interactive Data Science .

Ulrich Eiseneckerمشاهده پروفایل

استاد

• Software Engineering
• Generative Software Development
• Software Product Lines
• +۵ مورد دیگر

Professor Ulrich Eisenecker serves as the Director of the Institute for Business Informatics at Leipzig University's Faculty of Economics and Business Administration. He holds the Chair of Business Informatics with specialization in software development for business and administration, a position he has maintained since October 2004. Prior to this, he served as Dean of the Faculty (2012-2016) and Pro-Dean (2008-2012). His academic journey includes professorships at Kaiserslautern University of Applied Sciences (1999-2004) and Heidelberg University of Applied Sciences (1995-1999), following research positions at Daimler-Benz Research Institute and Mannesmann Kienzle GmbH. Professor Eisenecker's research focuses on Generative Software Development , Software Product Lines , Software Visualization (including 2D, 3D, AR and VR applications), and E-Assessment systems . His work bridges theoretical computer science with practical business applications, particularly evident in his application of set theory to software features and product lines. He leads the ongoing 'Visual Software Analytics' project and has previously directed projects funded by the European Social Fund and German Federal Ministry of Education and Research. His publication record spans over two decades, highlighted by the influential 2000 book 'Generative Programming' co-authored with K. Czarnecki and the 2017 Most Influential Paper Award from the Software Product Line Conference. Recent work (2023-2025) continues to advance software engineering and educational technology, particularly in automated assessment systems using AI techniques. Notable recognition: Most Influential Paper Award from Software Product Line Conference 2017 (SPLC 2017) Professor Eisenecker supervises doctoral and master's students, with numerous successful completions including Dr. Richard Müller, Dr. Max Lillack, and Dr. Johannes Kristan. His research group includes several scientific staff members and regularly publishes with student co-authors. He teaches 'Introduction to Computer Science' for economics students, 'Programming,' and 'Software Engineering' courses, integrating his research in automated feedback systems into his pedagogy. His research group maintains strong connections between academic research and practical applications, particularly through open source initiatives and industry collaborations focused on software analytics and educational technology.

• Participatory methods
• Gaming simulation
• Modelling and simulation
• +۷ مورد دیگر

Maksims Kornevs serves as an Adjunct Lecturer at KTH Royal Institute of Technology's School of Engineering, Division of Health Informatics and Logistics since 2021, specializing in data communication, medical engineering, and healthcare complexity research. His academic journey includes a PhD in Technology and Health from KTH (2019), Master's and Bachelor's degrees in Information Technology and Computer Science from Riga Technical University (top 1% of class). Doctor of Philosophy in Technology and Health (KTH, 2019) Master of Engineering Sciences in Information Technology (Riga Technical University, 2013) Bachelor of Engineering Sciences in Computer Control (Riga Technical University, 2011) His research spans participatory methods, gaming simulation, healthcare logistics, and mental health systems , with significant focus on complex adaptive systems in public sectors. Recent work integrates AI-driven decision aids for cancer screening and eldercare digitalization, emphasizing real-world implementation challenges through ethnographic studies and simulation frameworks. Publications (2014-2024) reveal three thematic clusters: 1) Healthcare simulation ( elderly care, frailty prevention, mental health systems ), 2) Logistics optimization ( port operations, road procurement, supply chain ), and 3) Serious games applications ( public servant training, engineering education ). Cross-cutting methodologies include Q methodology, system dynamics, and participatory design. As Principal Investigator, he leads multiple funded projects including Digital Decision Aid for Cancer Screening (49.5 kSEK, 2023-2024) and Computer Technology for Piano Learning (21 kSEK, 2024), demonstrating applied research translation. He previously managed KTH's Integration Lab supporting home care research and contributed to EU projects like POSITIVE (elderly monitoring systems) and ELISA (port digitalization).

Ernesto Armando Pacheco-Velázquezمشاهده پروفایل

پژوهشگر

• Serious Games in Education
• Logistics and Supply Chain Simulation
• Self-Directed Learning
• +۳ مورد دیگر

Ernesto Armando Pacheco-Velázquez serves as an Adjunct Researcher at Tecnológico de Monterrey's Institute for the Future of Education, specializing in Educational Technology within the Institute's research structure. His work bridges industrial engineering, mathematics education, and digital learning innovation. Academic Background: PhD in Administration (Operations Management focus) from Tecnológico de Monterrey (2004) Master of Science in Industrial Engineering (Honorable Mention) from Tecnológico de Monterrey Master of Education in Mathematics from Tecnológico de Monterrey Bachelor's in Mathematics from Universidad Autónoma de Guadalajara His research centers on serious games and simulation-based learning for developing complex skills in logistics and supply chain education. He pioneers methodologies for creating educational simulators (notably the patented LOST: Logistic Simulator) to address VUCA challenges in Industry 4.0 environments. His work emphasizes self-directed learning, game-flow theory, and adapting educational technologies for Latin American contexts through participatory design approaches. Analysis of his recent publications reveals a strong trend toward quantitative validation of educational technologies (2023-2025), with increasing focus on psychometric properties of engagement metrics, linear programming for game attribute evaluation, and UX optimization of virtual logistics simulators. His research consistently targets practical implementation in engineering education while contributing to theoretical frameworks in complex systems learning. Key Recognition: The Tower of Excellence (highest GPA in doctoral cohort) Mexican Researcher Certification - Candidate Honorable Mention in Industrial Engineering Master's program Pacheco-Velázquez actively contributes to educational innovation through the LOST simulator project (patented in 2019), which serves as a cornerstone for his research on developing comprehensive logistics vision through game-based learning. His work aligns with UN Sustainable Development Goals including Quality Education (SDG4), Industry Innovation (SDG9), and Responsible Consumption (SDG12), demonstrating commitment to practical applications of educational technology for societal impact.