Paola Mejia-Domenzain

24 papers A* 1A 1B 3Journal 9Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Who Gives Feedback Matters: Student Biases Towards Human and AI -Generated Formative Feedback. J. Comput. Assist. Learn. Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2025	A*	`conf`	"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations. CHI Mikaela Elizabeth Milesi, Paola Mejia-Domenzain, Laura Brandl, Vanessa Echeverría, Yueqiao Jin, Dragan Gasevic, Yi-Shan Tsai, Tanja Käser, Roberto Martínez-Maldonado
2025	B	`conf`	Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification. EDM Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky, Tanja Käser
2025	J	`jnl`	Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes. Int. J. Artif. Intell. Educ. Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, Tanya Nazaretsky, Thiemo Wambsganss, Antoine Bosselut, Tanja Käser
2025	J	`jnl`	Metacognition meets AI: Empowering reflective writing with large language models. Br. J. Educ. Technol. Seyed Parsa Neshaei, Paola Mejia-Domenzain, Richard Lee Davis, Tanja Käser
2025	A	`conf`	TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection. LAK Riordan Alfredo, Paola Mejia-Domenzain, Vanessa Echeverría, Dwi Rahayu, Linxuan Zhao, Haya Alajlan, Zachari Swiecki, Tanja Käser, Dragan Gasevic, Roberto Martínez-Maldonado
2025	J	`jnl`	The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions. Comput. Educ. Artif. Intell. Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2025	—	`conf`	User-centric Reflective Writing Assistance: Leveraging RAG for Enhanced Personalized Support. CHI Extended Abstracts Seyed Parsa Neshaei, Matea Tashkovska, Paola Mejia-Domenzain, Thiemo Wambsganss, Tanja Käser
2024	—	`conf`	1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data. UMAP (Adjunct Publication) Francesca Maridina Malloci, Paola Mejia-Domenzain, Agathe Merceron, Anna Monreale, Daniela Rotelli
2024	—	`conf`	AI or Human? Evaluating Student Feedback Perceptions in Higher Education. EC-TEL (1) Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2024	—	`conf`	GELEX: Generative AI-Hybrid System for Example-Based Learning. CHI Extended Abstracts Aybars Yazici, Paola Mejia-Domenzain, Jibril Frej, Tanja Käser
2024	—	`conf`	Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. AIED Companion (1) Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
2024	J	`jnl`	Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. CoRR Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
2024	—	`conf`	Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. AIED (2) Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Käser
2024	B	`conf`	Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. EDM Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2024	J	`jnl`	Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. CoRR Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2024	—	`conf`	Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations. AIED (1) Ekaterina Shved, Engin Bumbacher, Paola Mejia-Domenzain, Manu Kapur, Tanja Käser
2023	—	`conf`	Towards a Creativity Support Tool for Facilitating Students' Creative Thinking on Writing Tasks. DELFI Swathi Krishnaraja, Thiemo Wambsganss, Paola Mejia-Domenzain, Niels Pinkwart
2023	B	`conf`	Understanding Revision Behavior in Adaptive Writing Support Systems for Education. EDM Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser
2023	J	`jnl`	Understanding Revision Behavior in Adaptive Writing Support Systems for Education. CoRR Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser
2023	—	`conf`	Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. AIED (Posters/Late Breaking Results/...) Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser
2023	J	`jnl`	Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. CoRR Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser
2022	J	`jnl`	Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals. IEEE Trans. Learn. Technol. Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Alberto A. P. Cattaneo, Tanja Käser
2022	—	`conf`	Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. AIED (1) Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.