CV
Contact Information
| Name | Zhipeng (Zack) Jiang |
| Professional Title | PhD Candidate · Wearable Biosignal Systems · AI-Driven Human-Machine Interfaces |
| zj28@njit.edu | |
| Phone | |
| Location | Newark, NJ 07102 |
Professional Summary
PhD candidate in Mechanical Engineering at NJIT, also pursuing an OMSCS degree at Georgia Tech. My research builds wearable systems that bridge the human body and computational intelligence — engineering flexible piezoelectric, triboelectric, and strain sensors at the material level, processing biosignals (EMG/ECG/SCG), and designing AI-driven human-machine interfaces. Recent work appears in Nano Energy, Advanced Sensor Research, Advanced Robotics Research, and ACS Materials Letters.
Experience
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2022 - present PhD Research Engineer — Wearable Devices & Human-Machine Interfaces
New Jersey Institute of Technology
- Built and deployed an end-to-end wearable biosignal system (EMG/ECG/SCG) integrating custom analog frontend, ESP32-based DAQ, and a real-time sensing pipeline for health monitoring.
- Fabricated P(VDF-TrFE) piezoelectric nanofiber and triboelectric (TENG) flexible sensors from scratch; characterized sensitivity > 60 mV/kPa with 10,000-cycle durability via SEM, AFM, and impedance analysis.
- Implemented a piezoelectric-sensing real-time muscle classification pipeline enabling low-latency control of robotic prosthetics.
- Deployed a full sensor-to-VR system integrating flexible EMG sensors with a Unity-based virtual prosthetic hand for neuromotor rehabilitation; validated with amputees.
- Collaborated across hardware, software, and clinical teams on 4 published systems; mentored 3 junior researchers.
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2020 - 2023 Graduate Research Engineer — Structural Sensing & Fault Diagnosis
Mississippi State University
- Developed a multichannel ultrasonic sensing system for composite-material defect detection using ultrasonic C-Scan, achieving < 200 µm defect sensitivity through guided-wave signal processing.
- Built a real-time bearing fault diagnosis pipeline fusing 6-channel vibration data via frequency-domain analysis, achieving > 98% accuracy.
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2018 - 2018 International Peer Academic Coach
University of Dayton
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2017 - 2017 Mechanical Engineering Co-op
Exsplendid Inc.
Education
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2025 - present M.S.
Georgia Institute of Technology
Computer Science (OMSCS)
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2022 - 2026 (expected) Ph.D.
New Jersey Institute of Technology
Mechanical Engineering
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2020 - 2023 M.S.
Mississippi State University
Aerospace Engineering
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2014 - 2020 B.S.
University of Dayton
Mechanical Engineering
Awards
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2025 2nd Place — NJ New Business Model Competition (selected for 2026 Hult Prize National Round)
Drexel University
LimbVR — VR-based rehabilitation platform combining wearable resistive strain and flexible EMG sensing with a Unity-controlled virtual hand for real-time prosthetic training.
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2025 Honorable Mention & Women's Health Accelerator Selection
Rutgers Health Hackathon 2025
WeTropia — AI-agent OB/GYN triage assistant using RAG to gather symptoms, evaluate urgency, route patients, and produce reference-backed appointment summaries.
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2025 Best AI & AR for Maternal Wellness
HopHacks 2025, Johns Hopkins University
ReBloom — AI-powered AR wellness coach using wearable EMG sensors and Python real-time signal analysis for personalized postpartum recovery.
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2025 Best Agentic AI Design
Hacking Agents Hackathon NYC 2025
RPG Craft — Agentic AI-powered, generatively scripted game built on a LangFlow-based multi-agent system.
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2025 1st Place — Medical Track
Drexel Dragon Hackathon 2025
Cybathlon VR — Interactive VR rehabilitation system fusing wearable resistive strain and flexible EMG sensing into a Unity-controlled virtual hand.
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2024 4th Place & Honorable Mention
Rutgers Health Hackathon 2024
Heartup — AI-powered cardiac VR digital twin combining Bi-LSTM with attention and MLP models to analyze ECG data for long-term risk prediction.
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2024 1st Place
NJIT Dana Knox Research Showcase 2024
Smart Human-Machine Interface — Self-powered, breathable piezoelectric HMI translating bicep muscle signals into Morse code for gesture recognition and robotic prosthetic control.
Skills
Languages
Publications
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2026 Advanced Robotics Research
Wang, Y., Jiang, Z., Kwon, S. H., Ibrahim, M., Dang, A., Dong, L.
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2025 ACS Materials Letters
Zhang, C., Kwon, S. H., Huerta, A., Jiang, Z., Sun, M., Dong, L.
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2025 Nano Energy
Zhang, C., Jiang, Z., Sun, M., Augustin-Lawson, R., Kwon, S. H., Dong, L.
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2024 Advanced Sensor Research
Jiang, Z., Zhang, C., Kwon, S. H., Dong, L.
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2024 Nano Energy
Kwon, S. H., Zhang, C., Jiang, Z., Dong, L.
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2024 International Conference on Computing, Networking and Communications (ICNC)
Zhang, X., Li, L., Pu, L., Yang, J., Wang, Z., Fu, R., Jiang, Z.
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2023 Advanced Materials Interfaces
Lu, Z., Zhang, C., Kwon, S. H., Jiang, Z., Dong, L.
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2023 Journal of Manufacturing Science and Engineering
Zamiela, C., Jiang, Z., Stokes, R., Tian, Z., Netchaev, A., Dickerson, C., Tian, W., Bian, L.
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2023 International Journal of Advanced Manufacturing Technology
Al Mamun, A., Bappy, M. M., Mudiyanselage, A. S., Li, J., Jiang, Z., Tian, W.
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2022 IFAC-PapersOnLine
Righi, H., Li, T., Jiang, Z., Li, J., Tian, Z.
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2021 IISE Annual Conference Proceedings
Zamiela, C., Tian, W., Bian, L., Jiang, Z., Tian, Z.