Assistant Professor

Ernest Tan

Ph.D in Computer Engineering, Nanyang Technological University, School of Computer Science and Engineering, Singapore

Cluster:

Infocomm Technology

Profile

Biography

Dr Ernest Tan currently serves in the Infocomm Technology Cluster at the Singapore Institute of Technology (SIT), with research interests in edge intelligence for real-time artificial intelligence (AI) services in Internet of Things (IoT) networks. Specifically, his research interest focuses on edge caching and computation offloading for real-time AI services with the aim of overcoming the computation and battery constraints of IoT devices and embodied agents.

Dr Ernest Tan graduated with a First Class Honours in Computer Engineering from Nanyang Technological University (NTU) in 2015 and earned his Ph.D. in Computer Engineering from NTU in 2020. His doctoral research was supported by the Economic Development Board’s Industrial Postgraduate Programme (IPP) in collaboration with Airbus Singapore, where he also served as a Research Engineer from 2016 to 2020.

Applied Research Projects

A Cache-Aware Offloading Strategy for Real-Time AI Services Delivery in IoT Networks (Pi, MOE AcRF Tier 1 Grant awarded in 2025)
Multi-Link Assisted Latency-Aware Offloading for AI-Enabled Robotics Applications (PI, FCT Lab Bridging Fund awarded in 2025)

Teaching

INF2009 - Edge Computing and Analytics (AY25/26 T2, AY26/27 T2 and T3)
INF1006 - Computer Networks (AY25/26 T2 and T3)

Peer-Reviewed Articles for:

IEEE Trans. Mobile Comput.
IEEE Trans. Veh. Technol,
IEEE Wireless Commun.
IEEE Access
IEEE Trans. Netw. Sci. Eng.

Technical Committee Program Member for:

RoboRoarZ Robotics Competition (2025 - 2027 Cycle)
IEEE APWCS 2025
IEEE APWCS 2024
1st IEEE Workshop on B5G/6G Support for Next-Generation Industrial Internet-Of-Things, IEEE VTC-Fall 2024

Education

BEng in Computer Engineering (First Class Honours)
Nanyang Technological University, School of Computer Engineering , Singapore
Ph.D in Computer Engineering
Nanyang Technological University, School of Computer Science and Engineering , Singapore
Diploma in Computer Engineering (With Merit)
Singapore Polytechnic , Singapore

Corporate Experience

Senior Scientist, Agency for Science, Technology and Research (A*STAR)
2022 – 2024
Development Scientist, Agency for Science, Technology and Research (A*STAR)
2020 – 2022
Research Engineer, Airbus Singapore Pte Ltd
2016 – 2020

Research

Research Interests

Edge Intelligence
AI-Assisted Wireless Communications
IoT Networks for Embodied Agents

Publication

Journal Papers

A. Ashok, R. Maiti, T. Z. H. Ernest, and A. S. Madhukumar, "Edge-Intelligence With Inference-Aware Offloading for Latency-Sensitive Agents in IoT Networks" in IEEE Commun. Lett., January 2026.
T. Z. H. Ernest and A. S. Madhukumar, "Timeliness-Aware Computation Offloading Strategies for IIoT Networks," in IEEE Trans. Netw. Sci. Eng. , May 2025.
T. Z. H. Ernest and A. S. Madhukumar, "Peak Age of Information Analysis of Status Update Strategies in Cache-Enabled IIoT Networks," in IEEE Internet of Things Journal, 2024.
R. Maiti, A. S. Madhukumar and T. Z. H. Ernest, "MACU: A Multi-Agent Cache Updating Framework for IIoT Networks," in IEEE Internet of Things Journal, 2024.
T. Z. H. Ernest and A. S. Madhukumar, "Computation Offloading in MEC-Enabled IoV Networks: Average Energy Efficiency Analysis and Learning-Based Maximization," in IEEE Transactions on Mobile Computing, May 2024.
T. Z. H. Ernest and A. S. Madhukumar, "Age of Information Outage Probability Analysis for Computation Offloading in IIoT Networks," in IEEE Communications Letters, Sept. 2023.
T. Z. H. Ernest and A. S. Madhukumar, "Ensemble Learning-Based Edge Caching Strategies for Internet of Vehicles: Outage and Finite SNR Analysis," in IEEE Open Journal of the Communications Society, 2023.