Ph.D. 2017
Joined Fall 2014Now: The Boeing Company
- Ph.D., Mechanical Engineering, Iowa State University, 2017
- M.S., Control Systems, University of Sheffield, United Kingdom, 2014
- B.E., Mechanical Engineering, Ahmadu Bello University, Zaria, Nigeria, 2009
Adedotun was a Ph.D. student in the Department of Mechanical Engineering and joined Dr. Soumik Sarkar's lab in Fall 2014. His research interests included data and systems modeling, computational intelligence, active energy control in buildings, optimization, and combinatorics. He likes driving around town, meeting people, and reading.
He graduated from the SCS Lab in December 2017 and worked at Intel as a Graphics Software Engineer in Folsom, CA. He is now with The Boeing Company.
Research interests: Applied machine and deep learning for complex systems analysis, data and systems modeling, building energy control, optimization
Publications with the lab (13)
- 3D convolutional selective autoencoder for instability detection in combustion systems — Energy and AI (2021)
- Building Energy Disaggregation using Spatiotemporal Pattern Network — (2018)
- Hierarchical symbolic dynamic filtering of streaming non-stationary time series data — Signal Processing (2018)
Show all 13
- Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network — Applied Energy (2018)
- A deep learning framework to discern and count microscopic nematode eggs — Scientific reports (2018)
- Energy prediction using spatiotemporal pattern networks — Applied Energy (2017)
- High speed video-based health monitoring using 3D deep learning — Dynamic Data-Driven Application Systems (DDDAS) (2017)
- LLNet: A deep autoencoder approach to natural low-light image enhancement — Pattern Recognition (2017)
- An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection — arXiv preprint arXiv:1603.07834 (2016)
- Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video — arXiv preprint arXiv:1603.07839 (2016)
- Probabilistic Graphical Modeling of Distributed Cyber-Physical Systems — Elsevier eBooks (2016)
- Prognostics of combustion instabilities from hi-speed flame video using a deep convolutional selective autoencoder — International Journal of Prognostics and Health Management (2016)
- A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data — (2015)
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