Research Interests

Thank you for your interest in my work. In general, my research revolves around designing Artificial Intelligence systems that can interact with end-users to keep learning and improve their performance.

Specifically, I am researching how to design machine learning systems that allow end-users to interact with the system and provide feedback or change model parameters in order to iteratively refine the model. I am focused on finding out how to allow the system to be transparent in order to increase the end-users understanding of how the system makes decisions and increase end-users’ trust.

If you find my research interesting and are looking for a thesis supervisor, feel free to contact me at any time.

My research interests include:

Machine Learning (ML)
Artificial Intelligence (AI)
Human-Computer Interaction (HCI)
Explainable Artificial Intelligence (XAI)
Interactive Machine Learning (IML)

Short CV

Since 2018	Associated Doctoral Researcher at Institute of Information Systems and Marketing (IISM) at Karlsruhe Institute of Technology (Germany).
Since 2018	Ph.D. Student working in Machine Learning project at SAP SE (Germany).
2016 – 2017	Research Assistant at Institute for Program Structures and Data Organization at Karlsruhe Institute of Technology (Germany).
2015 – 2018	M.Sc. Computer Science at Karlsruhe Institute of Technology (Germany).
2010 – 2015	Test Engineer for Power Systems Enterprise Server Division at IBM, Guadalajara (Mexico).
2008 – 2009	International Studies Abroad at Hochschule Esslingen, University of Applied Sciences, Esslingen (Germany).
2005 – 2010	B.Sc. in Mechatronic Engineering at Institute Tecnológico de Estudios Superiores de Monterrey, Guadalajara (Mexico).
2001 – 2005	Enseñanza Técnica Industrial, Guadalajara (Mexico). Internships and work experience at SEW-EURODRIVE, Continental AG and Porsche AG

Internships and work experience at SEW-EURODRIVE, Continental AG and Porsche AG

Teaching

Winter 2019/2020: Business Intelligence Systems (Lecture)
Winter 2018/2020: Business Intelligence Systems (Lecture)

Projects

Interactive Machine Learning for Process Analytics (SAP)

Community Work

Reviewer Acitvities:

Business & Industry, Safety & Environmental (BISE) Conference
Business Process Management (BPM) Conference
Hawaii International Conference on System Sciences (HICSS)

Publications

2023

Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation using Eye-tracking Technology
Meza Martínez, M. A.; Nadj, M.; Langner, M.; Toreini, P.; Maedche, A.
2023. ACM Transactions on Interactive Intelligent Systems, 13 (4), 1–47. doi:10.1145/3607145

Visual Representation of Explainable Artificial Intelligence Methods: Design and Empirical Studies. PhD dissertation
Meza Martínez, M. A.
2023, November 24. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000164577

Designing Interactive Explainable AI Systems for Lay Users
Meza Martínez, M. A.; Mädche, A.
2023. Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies ICIS 2023, 1–17, AIS eLibrary (AISeL)

2021

Is This System Biased? – How Users React to Gender Bias in an Explainable AI System
Jussupow, E.; Meza Martínez, M. A.; Mädche, A.; Heinzl, A.
2021. 42nd International Conference on Information Systems, Association for Information Systems (AIS)

2019

Towards an Integrative Theoretical Framework of Interactive Machine Learning Systems
Meza Martínez, M. A.; Nadj, M.; Maedche, A.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 172, AIS eLibrary (AISeL)

2018

Suitability of event-based prompts in experience sampling studies focusing on location changes
Exler, A.; Kramer, S.; Meza Martínez, M. A.; Navolskyi, C.; Vogt, M.; Beigl, M.
2018. 7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017; Vienna; Austria; 14 November 2017 through 15 November 2017, 163–168, Springer. doi:10.1007/978-3-319-98551-0_19