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Chung-Yen (Matt) Chiang

Incoming M.S. Student · Seoul National University · Network Systems

I am an incoming M.S. student in Computer Science and Engineering at Seoul National University (Sep 2026), joining Prof. KyoungSoo Park's T-Networking Laboratory.

Before grad school, I spent four years on Amazon's Connectivity Team building wireless systems for global IoT devices, most recently leading cross-layer performance work on embedded Wi-Fi platforms.

News

Sep 2026

Joining Prof. KyoungSoo Park's T-Networking Laboratory at SNU as an M.S. student.

Apr 2026

Promoted to Software Development Engineer II (L5) at Amazon Connectivity Team.

Aug 2023

Started full-time at Amazon Connectivity Team after converting from internship.

2022

Paper presented at CISC 2022; awarded MOST Undergraduate Research Scholarship.

Research Interests

Network Systems · Network Profiling and Optimization.

Education

Seoul National University

M.S. in Computer Science and Engineering · Advisor: Prof. KyoungSoo Park

2026 – 2028

National Taiwan University of Science and Technology

B.B.A. in Information Management · GPA 4.01/4.30

2019 – 2023

Publications

[C1]Chung-Yen Chiang and Nai-Wei Lo. “Secure Channels for Smart Manufacturing Systems in Cloud Environments.” In Proceedings of the Cryptology and Information Security Conference (CISC), 2022. (1st author)

Research Experience

Graduate Researcher · T-Networking Laboratory Sep 2026 – Present

Seoul National University · Advisor: Prof. KyoungSoo Park

Joining Prof. Park's group to conduct research in network systems; specific research direction to be determined upon program start.

Summer Research Intern Jul 2022 – Aug 2022

Institute of Information Science, Academia Sinica · Advisor: Prof. Meng Chang Chen

Researched hardware-level sandbox evasion techniques (CPU feature checks, registry artifacts) used by obfuscated malware to detect analysis environments.
Reverse-engineered obfuscated malware samples using IDA Pro to identify evasion triggers and anti-analysis behaviors.
Implemented a modular detection framework in C and Python extending the Cuckoo Sandbox monitor with new evasion-detection plugins.

Undergraduate Researcher Jul 2021 – Feb 2022

NTUST · Advisor: Prof. Nai-Wei Lo

Designed and implemented Site-to-Site IPsec secure channels for industrial communication between local gateways and AWS VPC; published as 1st author at CISC 2022.
Conducted deep packet inspection with Wireshark and benchmarked throughput and latency with iPerf3 and Netperf across multiple IPsec configurations.
Investigated ARMv8 Cryptographic Extensions to accelerate encryption on resource-constrained industrial devices.

Industry Experience

Software Development Engineer II (L5) Apr 2026 – Jun 2026

Amazon · Connectivity Team

Conducted cross-layer performance profiling of an end-to-end Wi-Fi data path on FreeRTOS, spanning PHY, SDIO, kernel, and application layers; identified IMI memory access (SDIO), TCP shared-lock and mutex contention (kernel), and application-layer memory contention as root causes, achieving 2.36× throughput improvement (10.59 → 25 Mbps).
Designed runtime dynamic NVRAM/CLM loading mechanism for multi-SKU and multi-region firmware deployment from a unified image.

Software Development Engineer I (L4) Aug 2023 – Mar 2026

Amazon · Connectivity Team

Characterized DHCP reconnection behavior under unstable network conditions and designed protocol-level optimizations, reducing reconnection latency by 76%.
Conducted experimental tuning of WMM/EDCA QoS parameters under traffic contention, improving p99 latency for latency-sensitive streaming by 24%.
Implemented Wi-Fi power-saving and wake-up mechanisms, extending battery-operated IoT device standby from 40 to 65 days.
Built a modular BLE provisioning subsystem with end-to-end encryption channel for global SKU deployment.

Software Development Engineer Intern Sep 2022 – Jul 2023

Amazon · Connectivity Team

Developed automated tooling for interoperability characterization across 60+ commercial Wi-Fi routers, building a dataset for cross-vendor connection behavior analysis.

Teaching

Cybersecurity and AI-based Analytics Fall 2022

Teaching Assistant · Dept. of Electrical Engineering, NTUST

Supported instruction of an undergraduate course covering network security fundamentals, threat detection, and machine-learning-based security analytics.
Held weekly office hours, graded assignments and exams, and provided guidance for hands-on lab exercises and final projects.