computer engineer

Jerry Gu (*********@*****.***

CURRENT RESEARCH INTERESTS

Machine Learning Applications for Millimeter Wave Band and V2X Communications: Deep learning-based fusion, meta-learning, and transfer learning using multimodal sensor data from LiDAR, camera, GPS, and radio frequency sensors, allowing for enhanced wireless beam sector selection and autonomous vehicle performance.

Radio Frequency Fingerprinting for Anomaly and Device Detection: Deep learning-based classification for suspicious or unexpected transmissions in complex radio frequency environments; classification of mobile unmanned aerial vehicles, including detection of previously unseen devices.

EDUCATION

Northeastern University, Boston, MA August 2019—May 2021

• M.S. in Computer Engineering; Advisor: Kaushik R. Chowdhury

Swarthmore College, Swarthmore, PA August 2015—May 2019

• B.S. in Engineering; Minors: Math, Psychology

TEACHING EXPERIENCE

Graduate Teaching Assistant, Northeastern University Sep. 2020—Dec. 2020

• Microwave Circuit Design for Wireless Communications (EECE 7245)

Undergraduate Teaching Assistant, Swarthmore College Sep. 2018—May 2019

• Design of Digital and Embedded Systems (ENGR 15A)

• Digital Systems and Computer Engineering Fundamentals (ENGR 15B)

• Numerical Methods for Engineering Applications (ENGR 19)

AWARDS, SCHOLARSHIPS, AND ACHIEVEMENTS

Graduate Research Assistantship, Northeastern University Sep. 2019-Present

Associate Member, Sigma Xi, Swarthmore College 2018-2019

Eugene M. Lang Summer Initiative Award, Swarthmore College May 2018

PUBLICATIONS

1. J. Gu, B. Salehi, S. Pimple, D. Roy, and K. R. Chowdhury, “TUNE: Transfer Learning in Unseen Environments for V2X mmWave Beam Selection,” IEEE International Conference on Communications, May 2023

2. J. Gu, B. Salehi, D. Roy, and K. R. Chowdhury, “Multimodality in mmWave MIMO Beam Selection using Deep Learning: Datasets and Challenges,” IEEE Communications Magazine, vol. 60, no. 11, Nov. 2022.

3. B. Salehi, J. Gu, D. Roy, and K. R. Chowdhury, “FLASH: Federated Learning for Automated Selection of High-band mmWave Sectors,” IEEE International Conference on Computer Communications, May 2022.

4. J. Gu, N. Soltani, M. Y. Naderi, and K. R. Chowdhury, “It’s a Bird, It’s a Plane, It’s “That” UAV: RF Fingerprinting During Flight,” IEEE Asilomar Conference on Signals, Systems, and Computers, pp. 300-304, Nov. 2021.

5. M. Islam, D. Janssen, D. Chao, J.Gu, D. Eisen, and F. S. Choa, “Electricity Derived From Plants,” Journal of Energy and Power Engineering, Sep. 2017

6. M. Islam, C. Romero-Talamas, D. Kostov, W. Wang, Z. Liu, D. S. Hussey, E. Baltic, D. L. Jacobson, J. Gu, and F. S. Choa, ”Global Nuclear Radiation Monitoring Using Plants,” Proceeding of SPIE, May 2015

SUBMITTED ARTICLES

1. J. Gu, L. Collins, D. Roy, A. Mokhtari, S. Shakkottai, and K. R. Chowdhury, “Meta-Learning For Image-Guided Millimeter-Wave Beam Selection in Unseen Environments,” IEEE International Conference on Acoustics, Speech and Signal Processing. Submitted Oct. 26th, 2022

2. B. Salehi, D. Roy, J. Gu, C. Dick, and K. R. Chowdhury, “FLASH-and-Prune: Federated Learning for Automated Selection of High-ban mmWave Sectors Using Model Pruning,” IEEE Transactions on Mobile Computing. Submitted Aug. 10th, 2022

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