Mauricio Soto, PhD

Experience

Education

Research

My current research encompasses primarily problems relating machine learning applied to time series sensor data, synthetic data generation and monitoring of electrical equipment. Some of my topics of expertise also include automated software repair, fault detection, software quality, testing, etc. My PhD work focused on creating automatic repair approaches to find patches for real bugs in existing software.



Journal Publications:



• M. Motwani, M. Soto, Y. Brun, R. Just, C. Le Goues. "Quality of Automated Program Repair on Real-World Defects", TSE 2022 IEEE Transactions on Software Engineering


• Felipe Fronchetti, Nico Ritschel, Reid Holmes, Linxi Li, Mauricio Soto, Raoul Jetley, Igor Wiese, David Shepherd. "Language impact on productivity for industrial end users: A case study from Programmable Logic Controllers", JCL 2022 Journal of Computer Languages


• M. Soto, C. Satterfield, T. Fritz, G. Murphy, D. Shepherd, N. Kraft. "Observing and Predicting Knowledge Worker Stress, Focus and Awakeness in the Wild", IJHCS 2021 International Journal of Human-Computer Studies


Conference Publications:



• Soto, Mauricio. "Synthetic Data Generation and Its Applications: Training a Machine Learning Dissolved Gas Analysis Time Series Predictor ", Cigre 2024


• Sbravati et al. "Power Transformer Digital Twin: Incorporating Thermodynamic and Water Diffusion Discrete Elements Model for Enhanced Aging Calculation", Cigre 2024


• Soto et al. "Applying Data Science to Improve Solar Power Production and Reliability", INFORMS Workshop on Data Science 2019


• Soto, Mauricio. "Improving Patch Quality by Enhancing Key Components of Automatic Program Repair", ASE 2019 Doctoral Symposium. Automated Software Engineering


• Soto et al. "Common Statement Kind Changes To Inform Automatic Program Repair", MSR 2018. International Conference on Mining Software Repositories


• Soto et al. "Using a Probabilistic Model to Predict Bug Fixes", SANER 2018. IEEE International Conference on Software Analysis, Evolution and Reengineering


• Soto et al. "Analyzing the Impact of Social Attributes on Commit Integration Success", MSR 2017. International Conference on Mining Software Repositories


• Soto et al. "A deeper look into bug fixes: Patterns, replacements, deletions, and additions", MSR 2016. International Conference on Mining Software Repositories


Intellectual Property:



• Soto, Mauricio. "Detachable Geo-located Portable Batteries For Electric Vehicles", IP.com, Raleigh, NC, USA. 2020


PhD Dissertation:



• Soto, Mauricio. "Improving Patch Quality by Enhancing Key Components of Automatic Program Repair", Carnegie Mellon University, Pittsburgh, PA, USA. 2021


PhD Thesis Proposal:



• Soto, Mauricio. "Improving Patch Quality by Enhancing Key Components of Automatic Program Repair", Carnegie Mellon University, Pittsburgh, PA, USA. 2019


Magazine:



• L. Cheim, M. Soto, T. Reid "Artificial Intelligence and Machine Learning in the Era of Digital Transformers: Exciting Developments at Hitachi Energy", Transformers Magazine - AI Edition, 2022


Practicum report:



• Soto, Mauricio. "Challenges Faced in the Process of Knowledge Transfer in an Industrial Environment", Carnegie Mellon University, Pittsburgh, PA, USA. 2017


Others:



• SquaresLab. "COBOLd: Gobblin’ Up COBOL Bugs for Fun and Profit", SIGBOVIK '18.

Professional Service:

IEEE Task Force Leader



• IEEE PC57.170 Condition Assessment Guide



Cigre Work Group Representative



• Cigre JWG A2/D2.65 Transformer Digital Twin – concept and future perspectives



IEEE Work Group Member



• PC57.146 Interpretation of Gases Generated in Silicone-Immersed Transformers


• PC57.130 Factory Temperature Rise Test


• C57.143 Transformer Monitoring


• C57.170 WG Condition Assessment Guide


• PC57.166 Meeting on Liquid Maintenance Guide


• C57.155 Guide for the Interpretation of Gases Generated in Natural and Synthetic Ester Liquid Type Transformers



Keynote Speaker:



• Conference on Computer Science Research of Costa Rica, JoCICI '23



Program Committee Member:



• Conference on Computer Science Research of Costa Rica, JoCICI '23


• Empirical Software Engineering EMSE 2023 (Journal, Research Track)


• Empirical Software Engineering and Measurement, ESEM '20 (Industry Track)


• Mining Software Repositories, MSR ’20 (Mining Challenge Track)


• Empirical Software Engineering, EMSE '19 (Journal, Research Track)


• Mining Software Repositories, MSR ’19 (Mining Challenge Track)



Additional Reviewer:



• ASE ’18, ASE ’16, ASE ’15, FSE ’17, ICSE ’17, ICSE ’16



Leadership:



• Founder and chair of ERG at Hitachi Energy - 2021 / Present


• ABB Representative to the Society of Hispanic Professional Engineers - April 2020 / August 2020


• Graduate Students Representative to the Diversity Council at Carnegie Mellon University - Fall 2018 / Summer 2019


• CMU FLIP Alliance Representative - Google Summit 2019



Mentoring:



• Two Master Student Interns, Hitachi Energy 2022


• Robotics PhD Research Intern, ABB Future Labs 2020


• Two Students for Research Experiences for Undergraduates in Computer Science (REU Program) - North Carolina State University 2018


• Class of High School Students - Massachusetts Institute of Technology and Department of Science and Technology Engineering Camps 2013



Teaching Assistant:



• 08-766/45-887 Mobile and IoT Computing Services - Summer 2019


• 15-421/08-631 Information Security and Privacy - Fall 2016



Admissions Committee:



• Carnegie Mellon University Research Experiences for Undergraduates (REU) - Summer 2018



Conference Volunteer:



• Automated Software Engineering, ASE '19


• Systems, Programming, Languages, and Applications: Software for Humanity, SPLASH '15



Repository Owner:



• JaRFly: Automatic Software Repair Framework

Skills

Programming Languages & Tools:

Java

Python

Bash

LaTex

R

C#

C

C++

PHP

Scala

MySQL

UML

XML

HTML

CSS

Machine Learning:

scikit-learn

scipy

pandas

R

NN

Weka

NLP

LightSIDE

MATLAB

Cross validation

Classifiers

Regression

Clustering

Libraries/Tools:

Git

Ant

Maven

Junit

Java EE

Eclipse

Visual Studio

CMS

Gumtree

Software Engineering:

Agile Development

Scrum

Continuous Integration

Design Patterns

Unit Testing

Multithreading

Language Skills:

Fluent in English,

Spanish

and Portuguese

Interests

Apart from being a researcher, music is a big part of my life. Check me out!
These are some groups I have played with:

• The Tropic Orchestra (Salsa)
• Orquesta K-Che (Salsa)
• Latin Swing (Salsa)
• NCSU Jazz Combo (Jazz)
• Raleigh Civic Symphony (Symphonic orchestra)
• Raleigh Community Orchestra (Symphonic orchestra)
• Gavas Beat (Latin music)
• The Papaya Project (Latin jazz sextet)
• AUO (Symphonic Orchestra)
• Karibe Son (Caribbean music)
• Pipes and Drums (Bagpipes and drums)
• CMU Jazz Ensemble (Big Band)
• Graduation recital (Saxophone quartet, Mau's compositions)
• University of Costa Rica Guitar Orchestra (Guitar Ensemble)
• University of Costa Rica Saxohpone Ensemble (Saxophone Ensemble)
• Taforem (Latin american experimental)
• Goicoechea Municipal Band (Symphonic Band)
• University of Costa Rica Symphonic Band (Symphonic Band)
• Methodist High School Choir (Choir)

I also love to create adventures with my beautiful wife, my daughter, and my dog: Building a fort, outdoor concerts, water balloon fights, traveling around the world, home improvements, and many many more :)