Students
Jing DaiAddress:
777 Atlantic Drive
Atlanta, GA, 30339Research Interest:
Power system control;
Echo State Network.
Current Research Work:
Indirect adaptive control of an active power filter using Echo State Network.
Gareth GuvanasenAddress:
Laboratory for Neuroengineering
Georgia Institute of Technology
313 Ferst Drive
Atlanta, GA 30332, USAResearch Interest:
Neuronal Electrophysiology, Computational Neuroscience, Control Systems, Artificial Intelligence, Computer Vision
Current Research Work:
Gareth's research involves the development of extracellular stimulation protocols to enable greater control over neuronal excitation and inhibition. At present, he is using calcium fluorescence imaging and electrical stimulation/recording techniques to construct models for living neural networks. In applying these models, he aims to close the loop around living neural networks to provide more efficacious stimuli and to investigate new neuronal learning mechanisms.
Dustin HowardAddress:
4895 Guerry Dr.
Macon, GA 31210Research Interest:
Renewable energy, microgrids, and power system control.
Current Research Work:
Modeling, control, and simulation of dish-Stirling solar thermal power plants.
Jiaqi LiangAddress:
Van Leer E275, 777 Atlantic Dr Atlanta, GA 30332Research Interest:
Power system wide area control; Renewable energy grid integration; Electric machines and their drive systems.
Current Research Work:
Dynamic modeling and control of New England New York test power system with integrated wind and solar plants
Diogenes MolinaAddress:
Van Leer E275, 777 Atlantic Dr Atlanta, GA 30332Research Interest:
Power system wide area control, renewable energy grid integration, power system simulations
Current Research Work:
Large power system simulations for evaluating the scalability of new power system control algorithms
Robert OrtmanAddress:
470 16th St. NW
Apt. #5035
Atlanta, GA 30363Research Interest:
Hybrid neural microsystems and DSP
Current Research Work:
Developing and testing novel sensory input and motor output algorithms for the exchange of power grid parameters with living and artificial neural networks in order to facilitate information transfer, prediction, and control.
Riley Zeller-TownsonAddress:
3244 Whitaker Building
313 Ferst Dr
Atlanta, GA 30313Research Interest:
In Vitro learning, development of neocortex, emergent properties found within neural tissue
Current Research Work:
Inducing learning in dissociated rat cortex for the purpose of predicting and controlling power systems.
