WAIN'21
Sun 30 - Mon 31 May 2021
co-located with ICSE 2021
Grace Lewis

Registered user since Wed 5 Aug 2015

Name:Grace Lewis
Bio:

Grace Lewis is principal researcher and lead of the Tactical and AI-enabled Systems (TAS) initiative at the Software Engineering Institute at Carnegie Mellon University. Grace is the principal investigator for the “Characterizing and Detecting Mismatch in ML-Enabled Systems” and “Predicting Inference Degradation in Production ML Systems” research projects. Her current areas of expertise and interest include software engineering for AI/ML systems, software architecture (in particular the development of software architecture practices for systems that integrate emerging technologies), edge computing, and software engineering in society. She has a B.Sc. in Software Systems Engineering and a Specialization in Administration from Icesi University in Colombia; a Master in Software Engineering from Carnegie Mellon University; and a Ph.D. in Computer Science from Vrije Universiteit Amsterdam. Grace serves as VP for Technical Activities and Conferences (T&C) and member of the Board of Governors for the IEEE Computer Society, Diversity and Inclusion (D&I) chair for the IEEE CS Technical Council on Software Engineering (TCSE), Alternate Representative for IEEE-CS on the ABET CSAB Board of Directors, and an ABET evaluator for Computer Science undergraduate programs.

Country:United States
Affiliation:Carnegie Mellon Software Engineering Institute
Research interests:software engineering, software engineering for machine learning, edge computing, software architecture, software engineering in society

Contributions

BoKSS 2021 Committee Member in Program Committee within the BoKSS 2021-track
WAIN'21 Committee Member in Program Committee within the WAIN'21-track
Session Chair of Session 5: Designing AI systems I (part of WAIN'21)
Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems
MOBILESoft 2021 Committee Member in Program Committee within the Technical Papers-track
MSR 2021 Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation
ICSE 2021 Session Chair of 2.2.5. Deep Neural Networks: Hacking (part of Technical Track)
Session Chair of Bayesian Data Analysis for Software Engineering (part of TB - Technical Briefings)
Session Chair of 1.2.1. Deep Neural Networks: Validation #2 (part of Technical Track)
Chair in Program Committee within the TB - Technical Briefings-track
Session Chair of The Software Challenges of Building SmartChatbots (part of TB - Technical Briefings)
Technical Briefings Co-chair in Organizing Committe
Session Chair of Hands-On Session on the Development of Trustworthy AI software (part of TB - Technical Briefings)
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