Dr. Jennifer Sleeman
Labs:
The AI for Science and Social Good Lab **My new lab**
Recent Awards and Recognitions
Selected as a keynote speaker at the Sixth IEEE International Conference on Data Science and Engineering (ICDSE 2020) - The title of my talk is "Multidisciplinary AI for Social Good Leading Us To A Better Future"
Patents
Grants
Current: NOAA - Artificial Intelligence Based Bias Correction 5/2021 - 11/21
Current: NASA - Incubation Augmentation: Access, integrate, implement, test and validate an end-to-end prototype LIDAR based near real time system for generating hourly PBLH over the continental US. 12/2019 - 11/2021
Completed: May 2020 shared NSF grant with RedShred
Active Research
AI Based Bias Correction
Building Mixture of Experts Network for Combining Deep Learning Decisions with Scientific Decisions Achieved Through Traditional Methods
Long Short Term Memory Networks for Predicting the PBLH
Restricted Boltzmann Machines using D-Wave Quantum Annealing
Machine Learning for Detecting the Planetary Boundary Layer (Joint with the UMBC Physics Department)
Understanding the Evolution of Malware Using Dynamic Topic Models
Language Models for Large Scientific Data Sets
Relating News Articles to Scientific Research To Understand Journalistic Bias
Recent Editorial Appointments
Reviewer - IEEE Transactions on Knowledge and Data Engineering -2021
Reviewer - International Semantic Web Conference Posters and Demos -2020
Reviewer - IEEE Transactions on Big Data - 2020
Area of Research/Interest:
Quantum Computing
AI for Social Good
Deep Learning (Generative Adversarial Networks)
Machine Learning
Natural Language Processing
Big Data
Topic Modeling/Generative Modeling
Teaching
First Lego League Robotics
Courses Taught:
Spring 2020 - CMSC 471
Spring 2018 - CMSC 461
Fall 2017 - CMSC 341
Fall 2014 - CMSC 461