CV

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Education

• B.S. in Electrical Engineering, Xi’an Jiaotong University, 2014
• M.S. in Electrical and Computer Engineering, University of Mayrland, College Park, 2019
• Ph.D. in Electrical and Computer Engineering, University of Maryland, College Park, 2019

Work experience

• 08/2022 - Present: Sr. Software Engineer - AI Framework
  • Black Sesame Technologies, Inc., San Jose, CA
• 02/2021 - 06/2021: Princial Scientist
  • Origin Wireless AI, Greenbelt, MD
• 02/2020 - 02/2021: Principal Data Scientist
  • Origin Wireless AI, Greenbelt, MD
  • WiFi-sensing for home security
    • Designed and optimized motion localization algorithm for WiFi-sensing devices.
    • Wrote Python tools for customers to process and visualize motion data.
    • Designed and automated a manufacture workflow by Python to build WiFi-sensing devices.
    • Reduced time consumption of building up one set of devices from about 40 min to 5 min.
    • Built 155 sets of devices for Verizon Communications Inc. to support their development and testing.
  • Real-time location tracking
    • Built an App using Python (Kivy and Buildozer) to track human location in real time based only on inertial measurement unit sensors from phone.
    • Optimized the tracking algorithm and achieved centimeter-level accuracy.
• 05/2019 - 08/2019: DSP Research Intern
  • Starkey Hearing Technologies, Eden Prairie, MN
  • DNN-based Speech Enhancement
    • Designed and conducted subjective listening experiment to test DNN-based speech enhancement algorithms.
    • Analyzed experimental data and compared DNN algorithms.
  • Joint Approach of Auditory Attention Decoding and Speech Enhancement
    • Designed and conducted electroencephalography (EEG) experiment to simulate a cocktail party scenario.
    • Collected auditory responses while subjects switch attention from one speaker to another.
    • Developed algorithm for joint approach of attention decoding and speech enhancement.
• 08/2015 - 05/2019: Graduate Research Assistant
  • University of Maryland, College Park, MD
  • Supervisor: Prof. Jonathan Z. Simon
  • Mutual Information Analysis of Auditory Brain Responses and Effects of Aging
    • Developed a novel approach based on information theory to decode phase-locked response from M/EEG recording.
    • Revealed speech over-representation in the aging midbrain [J1] and cortical [J2] marker of behaviors.
    • Algorithm programmed in Matlab, source-space analysis done in Python and statistics conducted in R.
  • Machine Learning Applications in Auditory Research
    • Implemented KNN and CNN for schizophrenia detection based on auditory steady-state response features.
    • Designed and compared neural decoders based on maximum likelihood estimation, linear regression and neural network to study adaptive efficient coding of correlated acoustic properties in auditory cortex of ferret.
    • Developed object and edge detection approach to extract pupillometry information from video recordings to study implicit memory for complex sounds in auditory cortex of ferret.

Skills

• Programming
  • Python
  • C/C++
  • R
  • Java
• Software Tools
  • Matlab
  • SPSS
  • MNE-Python
  • Eelbrain
  • Tensorflow
  • PyTorch
  • Latex
  • Git/Github
  • Linux/Unix
• Data Science
  • Statistics
  • Machine Learning
  • Deep Learning
• Data Engineering
  • Database
  • SQL
  • Google Cloud Platform
• Research
  • Auditory Neuroscience Exaperiment
  • Electroencephalography (EEG)
  • Magnetoencephalography (MEG)

Publications

Journals

1. Peng Zan, Alessandro Presacco, Samira Anderson, and Jonathan Z. Simon. Exaggerated Cortical Representation of Speech in Older Listeners: Mutual Information Analysis. Journal of Neurophysiology, 124(4):1152-1164, 2020.
2. Peng Zan, Alessandro Presacco, Samira Anderson, and Jonathan Z. Simon. Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain. Journal of Nuerophysiology, 122(6):2372-2387, 2019.
3. Kai Lu, Wanyi Liu, Kelsey Dutta, Peng Zan, Jonathan B Fritz, and Shihab A. Shamma. Adaptive Efficient Coding of Correlated Acoustic Properties. Journal of Neuroscience, 39(44):8664–8678, 2019.
4. Kai Lu, Wanyi Liu, Peng Zan, Stephen V. David, Jonathan B Fritz, and Shihab A. Shamma. Implicit Memory for Complex Sounds in Higher Auditory Cortex of the Ferret. Journal of Neuroscience, 38(46):9955–9966, 2018.
5. Junmin Liu, Yongchang Hui, and Peng Zan. Locally Linear Detail Injection for Pansharpening. IEEE Access, vol. 5, pp. 9728-9738, 2017.
6. Dai Wang, Xiaohong Guan, Jiang Wu, Pan Li, Peng Zan, and Hui Xu. Integrated Energy Exchange Scheduling for Microgrids with Electric Vehicles. IEEE Transactions on Smart Grid, 7(4):1762-1774, 2015.

Conferences

1. Wenqiang Pu, Peng Zan, Jinjun Xiao, Tao Zhang, Zhi-Quan Luo. Evaluation of Joint Auditory Attention Decoding and Adaptive Binaural Beamforming Approach for Hearing Devices with Attention Switching. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, pp. 8728-8732, doi: 10.1109/ICASSP40776.2020.9054592, 2020.
2. Peng Zan, Alessandro Presacco, Samira Anderson, and Jonathan Z. Simon. Cortical Over-representation of Speech in Older Listeners Correlates with a Reduction in both Behavioral Inhibition and Speech Intelligibility. ARO 42nd Annual Midwinter Meeting, Baltimore, Maryland, U.S., 2019.
3. Peng Zan, Alessandro Presacco, Samira Anderson, and Jonathan Z. Simon. Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain. ARO 42nd Annual Midwinter Meeting, Baltimore, Maryland, U.S., 2019.
4. Peng Zan, Alessandro Presacco, Samira Anderson, and Jonathan Z. Simon. Mutual Information Analysis of Neural Representations of Speech in Noise in the Aging Midbrain. Auditory SPLASH, University of Pennsylvania, Philadelphia, Pennsylvania, U.S., 2018.

Patent

1. Chenshu Wu, Beibei Wang, Peng Zan, Sai Deepika Regani, Xiaolu ZENG, Hung-Quoc Duc Lai, KJ Ray Liu, Oscar Chi-Lim Au. Method, apparatus, and system for wireless micro motion monitoring.US20210311166A1

Teaching

ENEE380: Electromagnetic Theory

ENEE 307: Electronic Circuit Design Laboratory

Selected awards & honors

• Starkey Recognition Award, Starkey, 08/2019
• COMBINE Traveling Award, UMD, 12/2018
• NSF-Funded COMBINE Fellowship (Computational Biological Network Program), UMD, 09/2017
• Jimmy H. C. Lin Graduate Scholarship for Entrepreneurship, UMD, 09/2014
• ECE Ph.D. Fellowship Award, UMD, 09/2014
• National Scholarship, Ministry of Education of the P.R.C., XJTU, 11/2011