Sotabase

Career

· Research Scientist, AMD2024–
· Research Scientist, Accenture Labs2023–2024
· Research Scientist, IBM Research2023–2024
· Research Scientist, Scale AI2023–2024
· Research Scientist, Sony AI2023–2024
· Ph.D. in Artificial Intelligence, Georgia Institute of Technology2019–2024
· PhD Student, Georgia Institute of Technology2019–2024
· Research Assistant, Georgia Institute of Technology2017–2019
· Undergraduate Teaching Assistant, Georgia Institute of Technology2017–2019
· Women in Engineering (WIE) Program Mentor, Georgia Institute of Technology2017–2019
· College of Engineering Champion Program Member, Georgia Institute of Technology2016–2019
· ECE Student Ambassador, Georgia Institute of Technology2016–2019
· Opportunity Research Scholar, Georgia Institute of Technology2016–2017
· B.S. in Computer Engineering, Georgia Institute of Technology2015–2019

Publications (17)

Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
IEEE/ACM International Conference on Human-Robot Interaction · 2021
132
cited
A Novel Endocrine Role the BAT-Released Lipokine 12,13-diHOME to Mediate Cardiac Function.
Circulation · 2020
94
cited
Explainable Activity Recognition for Smart Home Systems
ACM Trans. Interact. Intell. Syst. · 2021
63
cited
Nanomedicine-Based Strategies for Diabetes: Diagnostics, Monitoring, and Treatment
Trends in endocrinology and metabolism · 2020
56
cited
Engineered Extracellular Vesicles Derived from Dermal Fibroblasts Attenuate Inflammation in a Murine Model of Acute Lung Injury
Advances in Materials · 2023
52
cited
Leveraging rationales to improve human task performance
International Conference on Intelligent User Interfaces · 2020
52
cited
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
International Conference on Machine Learning · 2022
39
cited
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Neural Information Processing Systems · 2023
30
cited
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures
IEEE/RJS International Conference on Intelligent RObots and Systems · 2021
26
cited
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems
International Conference on Intelligent User Interfaces · 2022
13
cited
Vision-Based Detection of Simultaneous Kicking for Identifying Movement Characteristics of Infants At-Risk for Neuro-Disorders
International Conference on Machine Learning and Applications · 2018
12
cited
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot Actions
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
11
cited
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling
arXiv.org · 2022
11
cited
Early Intervention in Ischemic Tissue with Oxygen Nanocarriers Enables Successful Implementation of Restorative Cell Therapies
Cellular and Molecular Bioengineering · 2020
8
cited
Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery
arXiv.org · 2020
7
cited
Injectable pulverized electrospun poly(lactic-co-glycolic acid) fibers improve human adipose tissue engraftment and volume retention.
Journal of Biomedical Materials Research. Part A · 2023
2
cited
CE-MRS: Contrastive Explanations for Multi-Robot Systems
IEEE Robotics and Automation Letters · 2024
1
cited
Sotabase
Devleena Das | Researcher Profile | Sotabase | Sotabase