Sotabase

Career

· Associate Professor, Computer Science And Electrical Engineering, Penn State Abington2022–
· Assistant Professor, Science And Engineering, Penn State Abington2015–2022
· ORISE Fellow, FDA2013–2014
· Doctor of Philosophy (Ph.D.), Optical Communication, The Johns Hopkins University2008–2013
· Science Tutor, AmeriCorps2007–2008
· Research Assistant, Johns Hopkins University2006–2013
· Master's degree, Electrical Engineering, The Johns Hopkins University2006–2008
· Bachelor of Science (BS), Electrical and Electronics Engineering, University of Kansas2003–2006

Publications (90)

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach
IEEE Internet of Things Journal · 2018
174
cited
Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security
IET Cyper-Phys. Syst.: Theory & Appl. · 2017
147
cited
Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access
IEEE Computational Intelligence Magazine · 2020
137
cited
Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks
IEEE Transactions on Industrial Informatics · 2018
112
cited
Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities
IEEE Network · 2021
102
cited
Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM
IEEE Transactions on Neural Networks and Learning Systems · 2018
90
cited
Spectrum Sharing for UAV Communications: Spatial Spectrum Sensing and Open Issues
IEEE Vehicular Technology Magazine · 2020
74
cited
A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access
IEEE Internet of Things Journal · 2021
58
cited
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond
IEEE Transactions on Neural Networks and Learning Systems · 2020
52
cited
Energy Harvesting-Based D2D-Assisted Machine-Type Communications
IEEE Transactions on Communications · 2017
52
cited
RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training
IEEE Transactions on Wireless Communications · 2020
40
cited
Differential Privacy Meets Federated Learning Under Communication Constraints
IEEE Internet of Things Journal · 2021
39
cited
MIMO Spectrum Sensing for Cognitive Radio-Based Internet of Things
IEEE Internet of Things Journal · 2020
38
cited
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits
IEEE Transactions on Emerging Topics in Computational Intelligence · 2021
35
cited
A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems
IEEE Internet of Things Journal · 2018
34
cited
A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses
IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2020
33
cited
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
AAAI Conference on Artificial Intelligence · 2020
33
cited
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach
IEEE Transactions on Emerging Topics in Computational Intelligence · 2020
33
cited
Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors
IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2017
32
cited
A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system
IEEE International Symposium on Quality Electronic Design · 2018
30
cited
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Yang, Yi | Researcher Profile | Sotabase | Sotabase