Ana Real

Degree:M.Sc.
Position:PhD Candidate
Office:D19 2.02
Email:ana.estrada-real@h-da.de

Bio

M. Sc. in Computer Science by Tecnologico de Monterrey in Mexico State, specialized in data science and Physics Engineer by Universidad Autonoma Metropolitana in Mexico City running simulations for quantum systems. I have worked in the industry for Microsoft as a Cybersecurity Customer Engineer giving coverage to institutions in all the Americas. Then I dedicated time for research in INSA Toulouse (France) and TU Darmstadt (Germany) as a research assistant for quantum systems, running simulations and experiments on quantum materials. Lastly dedicated time for teaching at Colegio Suizo de Mexico (Schwarzschule Mexiko) as a Math and physics teacher for international and advanced programs.

Right now working at Hochschule Darmstadt as a PhD candidate doing research in the area of biometric systems, specifically in explainability. Which is an area of research in machine learning that aims to train an algorithm to explain the reasoning behind a decision, with the use of cognitive psychology, human-computer interaction and natural language processing. The goal of explainability is to improve the trust and interpretability of biometric systems as their decisions impact processes in people’s everyday life.

Publications

2023

  • Estrada-Real, A., Paradisanos, I., Wiecha, P.R. et al. Probing the optical near-field interaction of Mie nanoresonators with atomically thin semiconductors. Commun Phys 6, 102 (2023). https://doi.org/10.1038/s42005-023-01211-2.

2022

  • Ana Estrada-Real, Abdourahman Khaireh-Walieh, Bernhard Urbaszek, Peter R. Wiecha, Inverse design with flexible design targets via deep learning: Tailoring of electric and magnetic multipole scattering from nano-spheres, Photonics and Nanostructures – Fundamentals and Applications, Volume 52 (2022), 101066, ISSN 1569-4410, https://doi.org/10.1016/j.photonics.2022.101066.
  • Beret, D., Paradisanos, I., Lamsaadi, H. et al. Exciton spectroscopy and unidirectional transport in MoSe2-WSe2 lateral heterostructures encapsulated in hexagonal boron nitride. npj 2D Mater Appl 6, 84 (2022). https://doi.org/10.1038/s41699-022-00354-0.
  • Z. Gan,  I. Paradisanos,  A. Estrada-Real,  J. Picker,  E. Najafidehaghani,  F. Davies,  C. Neumann,  C. Robert,  P. Wiecha,  K. Watanabe,  T. Taniguchi,  X. Marie,  J. Biskupek,  M. Mundszinger,  R. Leiter,  U. Kaiser,  A. V. Krasheninnikov,  B. Urbaszek,  A. George,  A. Turchanin,  Chemical Vapor Deposition of High-Optical-Quality Large-Area Monolayer Janus Transition Metal Dichalcogenides. Adv. Mater.  2022,  34, 2205226. https://doi.org/10.1002/adma.202205226.
  • Estrada-Real, A.C., Cantu-Ortiz, F.J. A data analytics approach for university competitiveness: the QS world university rankings. Int J Interact Des Manuf 16, 871–891 (2022). https://doi.org/10.1007/s12008-022-00966-2.
  • Majorel, Clément, Patoux, Adelin, Estrada-Real, Ana, Urbaszek, Bernhard, Girard, Christian, Arbouet, Arnaud and Wiecha, Peter R.. „Generalizing the exact multipole expansion: density of multipole modes in complex photonic nanostructures“ Nanophotonics, vol. 11, no. 16, 2022, pp. 3663-3678. https://doi.org/10.1515/nanoph-2022-0308.

2020

  • A. C. E. Real, L. R. C. Sotomayor and F. J. C. Ortiz, „A Data Analytics Study in the Influence of Top Universities over World-Class Cities Based on QS Best Cities Ranking,“ 2020 International Conference on Computing and Data Science (CDS), Stanford, CA, USA, 2020, pp. 119-124, https://doi.org/10.1109/CDS49703.2020.00030.

Research topics

Current

Explainability in biometric systems.

  • Human-computer interaction.
  • Interpretability and fairness.
  • Natural language processing.
  • Cognitive algorithms.

Past

  • Data science for historical data.
  • Quantum materials for telecommunication.
  • Optoelectronics.
  • Image recognition for material design.