Sotabase

Career

· Applied Scientist II, Amazon Web Services (AWS) (Current)2025–
· Extern, Carnegie Mellon University2025–2025
· Student Researcher, Google2024–2024
· Applied Scientist Intern, Amazon Web Services (AWS)2023–2023
· Applied Scientist Intern, Amazon Web Services (AWS)2022–2022
· Doctoral Student, Carnegie Mellon University2020–2025
· Intern, Auton Lab, Carnegie Mellon University2019–2020
· Robotics Institute Summer Scholar, Carnegie Mellon University2019–2019
· Intern, Team RoboTutor, Carnegie Mellon University2018–2020
· Robotics Institute Summer Scholar, Carnegie Mellon University2018–2019
· Research Associate, Delhi College of Engineering2017–2020
· Intern, Goods And Services Tax Network2017–2017
· Winter Intern, PhillipCapital2017–2017

Publications (31)

Unsupervised Model Selection for Time-series Anomaly Detection
International Conference on Learning Representations · 2022
36
cited
Counterfactual Phenotyping with Censored Time-to-Events
Knowledge Discovery and Data Mining · 2022
29
cited
Efficacious Sorption Capacities for Pb(II) from Contaminated Water: A Comparative Study Using Biowaste and Its Activated Carbon as Potential Adsorbents
ACS Omega · 2023
26
cited
AQuA: A Benchmarking Tool for Label Quality Assessment
Neural Information Processing Systems · 2023
18
cited
Weak Supervision for Affordable Modeling of Electrocardiogram Data
American Medical Informatics Association Annual Symposium · 2022
16
cited
Propensity of a low-cost adsorbent derived from agricultural wastes to interact with cationic dyes in aqueous solutions
Environmental Monitoring & Assessment · 2023
12
cited
Recent Efforts in Energy Conservation in Ammonia and Urea Plants
2008
11
cited
Exploring Representations and Interventions in Time Series Foundation Models
International Conference on Machine Learning · 2024
8
cited
Baseline study of water, soil, and identification of potential native phytoremediators of total petroleum hydrocarbon from oil-contaminated areas in the vicinity of Geleky oilfield of Assam
Environmental Monitoring & Assessment · 2023
7
cited
TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
arXiv.org · 2025
7
cited
Implicit Reasoning in Deep Time Series Forecasting
arXiv.org · 2024
6
cited
Combinational feature approach: Performance improvement for image processing based leaf disease classification
2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) · 2017
5
cited
Investigating Compositional Reasoning in Time Series Foundation Models
arXiv.org · 2025
5
cited
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection
arXiv.org · 2021
5
cited
Towards Long-Context Time Series Foundation Models
arXiv.org · 2024
5
cited
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
arXiv.org · 2019
4
cited
Performance Analysis of Classifiers and Future Directions for Image Analysis Based Leaf Disease Detection
2018
4
cited
Downtime analysis of ammonia and urea plants.
2003
2
cited
Causes of downtime in ammonia and urea plants.
2000
1
cited
STAMP: Spatial-Temporal Adapter with Multi-Head Pooling
arXiv.org · 2025
1
cited
Sotabase
Mononito Goswami | Researcher Profile | Sotabase | Sotabase