Women at NEO


  • Dr. Adriana Lara
  • Dr. Marcela Quiroz

This special session W-NEO is a way to encourage the presence of women in Science, in particular, in numerical optimization and computing. The goal is to gather young and consolidated female researchers and practitioners to share experiences and paths for possible joint work. W-NEO 2020 presents talks about recent research advances reached by women. Additionally, this space will be an opportunity to discuss realities, problems, and possible solutions about the gender gap in our community.

We will also hold space for networking to inspire, engage, and advise students who are currently working—or planning to work--on NEO areas. We will hold some brief talks and a meeting.

Topics of interested include (but are not limited to):

  • Optimization
  • Energy
  • Numerical applications
  • Evolutionary computing

All submissions will be peer-reviewed by a panel of international experts.

Dr. Adriana Lara, This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Marcela Quiroz, This email address is being protected from spambots. You need JavaScript enabled to view it.

Bio: Adriana Lara is a Full-Time Professor with the Mathematics Department of the Physics and Mathematics School (ESFM) at the IPN in México City. Her current research interests include Multi-objective Optimization, Hybrid Algorithms, and Data Analysis. She has received the IEEE Transactions on Evolutionary Computation Outstanding Paper Award in 2010 and 2012 and the 2010 Engineering Award granted by the Mexico City's Science and Technology Institute (ICyTDF). She received a B.Sc. degree in Physics and Mathematics from the National Polytechnic Institute (IPN) in Mexico City, an M.Sc. degree in Electrical Engineering, and a Ph.D. degree in Computer Sciences from Centro de Investigación y Estudios Avanzados (CINVESTAV-IPN). She is a member of the W-IEEE, W-ACM, SMM, and of the National Research Network (SNI Level I).
Bio: Marcela Quiroz is a Full-Time Researcher with the Artificial Intelligence Research Center at the Universidad Veracruzana in Xalapa city, Mexico. Her research interests include: combinatorial optimization, metaheuristics, experimental algorithms, characterization and data mining. She received her Ph.D. in Computer Science from Instituto Tecnológico de Tijuana, Mexico. She studied engineering in computer systems and received the degree of master in computer science at the Instituto Tecnológico de Ciudad Madero, Mexico. She is a member of the Mexican National Researchers System (SNI), and also a member of the directive committees of the Mexican Computing Academy (AMexComp) and the Mexican Robotics Federation (FMR).