The following research opportunities are available for doctoral students:
| Faculty | RA Opportunity Description |
|---|---|
| Bhat, Ishwara | Potential Sanida National Lab RA opportunity |
| Chow, Joe / Meng Wang / Ali Tajer / Qiang Ji | 1. Potential DOE RA opportunity 2. Power market dispatch 3. Modeling and control of power systems |
| Chow, Paul | Power semiconductor devices and ICs |
| Franklin, W. Randolph | Parallel geometry algorithms on GPUs, with applications to CAD, GIS, and additive manufacturing |
| Ji, Qiang | 1. Computer vision for facial and body behavior analysis) 2. Probabilistic graphic models and applications 3.Probabilistic deep learning 4. Human and machine indentations |
| Julius, Agung | Control and learning with applications in teams of human-autonomous systems |
| Kar, Koushik | 1. IoT based autonomous thermal control of smart indoor spaces 2. Game-theoretic study of inter-domain routing and peering in the Internet |
| Karlicek, Robert | Doctoral research assistantship opportunity in sensor fusion used in autonomous lighting control systems |
| Malak, Derya | Looking for 2 Research Assistants broadly in communications, caching and computation in networks, and reliable communications with delay constraints and finite block length communications (IoT). |
| McDonald, John | 1. NSF Real Time machine Learning (RTML) involving chip design 2.THz devices for fast logic and memory |
| Radke, Rich | Computer vision and audio signal processing for multi-person group meeting analysis and facilitation. |
| Sawyer, Shayla | 1. Bio-nano materials and devices 2. Nanocomposite simulations 3. Environmental sensor design |
| Shur, Michael | Need students with strong experimental skills and independent minds |
| Sun, Jian | 1. Power electronics for renewable energy 2. High-voltage dc transmission for offshore wind and power systems 3. Renewable energy applications in distribution systems 4.Hybrid ac-dc power system stability and control |
| Tajer, Ali | Machine learning and high-dimensional data analytics |
| Vanfretti, Luigi |
(a) Seeking undergraduate and graduate students with background in electric power, controls and machine learning for the KAUST-funded “Autonomous Digital Grid” project, implementing machine learning-based controls for microgrids. |
| Wang, Meng | High-dimensional data analytics: the goal is to develop efficient data-driven methods to extract information from data with provable analytical guarantees. The motivating applications include smart grid data analytics and image processing. More Information |
| Wen, John | Advanced robotics for manufacturing: This project integrates vision and force sensors, task and motion planning, adaptation and learning, and industrial robot control systems to automate industrial manufacturing processes such as composites layup, surface finishing, and assembly. More Information |
| Zhang, Tong | Computer systems: This project investigates the design of memory and data storage systems across software and hardware stacks for future cloud computing and larger-scale data centers. More Information |