Lin Shan
LS
Lin Shan
Senior Sales Engineer @ VAST Data  ·  PhD Computer Science
AI infrastructure specialist and computer vision researcher. Currently a Senior Sales Engineer at VAST Data, driving AI/HPC data platform solutions across APAC. Previously Presales Engineer at DataDirect Networks (DDN, 2024–2026) and Research Fellow and team lead at ROSE Lab, NTU (2020–2024). PhD from University of Warwick, EU Marie Curie Fellow.
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About

I am currently a Senior Sales Engineer at VAST Data, working on AI infrastructure and data platform solutions for the APAC region. Before joining VAST, I was a Presales Engineer at DataDirect Networks (DDN) (2024–2026), covering AI/HPC storage across APAC. Earlier, I was a Research Fellow at the Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University (NTU), where I led a 10-person team developing feasible AI solutions for real-world problems.

I obtained my Ph.D. in Computer Science from the University of Warwick (2015–2020), supervised by Prof. Chang-Tsun Li and Prof. Alex C. Kot. I was a Marie Sklodowska-Curie Fellow under the EU Horizon 2020 IDENTITY project, with research exchanges to Hong Kong Baptist University and NTU in 2016 and 2017. My research spans Person Re-identification, Deepfake Detection, and AI Domain Adaptation & Generalization.

Experience

Oct 2026 — Present
Senior Sales Engineer
VAST Data · Singapore
Technical presales and solution architecture for the VAST Data AI data platform across APAC.
Sep 2024 — Oct 2026
Presales Engineer
DataDirect Networks (DDN) · Singapore
Technical Presales and Solution Architecture for AI/HPC storage infrastructure across the APAC region.
May 2020 — Sep 2024
Research Fellow
ROSE Lab, Nanyang Technological University · Singapore
Led a 10-person research team focused on AI/ML, computer vision, and real-world deployment of intelligent surveillance systems.
Jul 2019 — Apr 2020
Project Officer
ROSE Lab, Nanyang Technological University · Singapore
AI and computer vision research projects.
Oct 2017 — Jul 2019
Research Assistant — Marie Curie Fellowship
ROSE Lab, Nanyang Technological University · Singapore
EU Horizon 2020 Marie Sklodowska-Curie Fellowship. Research on Person Re-identification and cross-domain adaptation.
Dec 2016 — Mar 2017
Senior Research Assistant — Marie Curie Fellowship
Hong Kong Baptist University · Hong Kong
Research exchange under EU Horizon 2020 IDENTITY project.
Mar 2015 — Apr 2015
Engineering Intern
Tencent / Capcom · Shanghai
Monster Hunter Online game development.
Jul 2014 — Aug 2014
Engineering Intern
ZTE / Boom-T · Guangzhou
Power grid communication systems.

Education

Oct 2015 — Apr 2020
Doctor of Philosophy (Ph.D.) — Computer Science
University of Warwick · United Kingdom
Supervised by Prof. Chang-Tsun Li and Prof. Alex C. Kot. Research: Person Re-identification, Domain Adaptation/Generalization. EU Marie Sklodowska-Curie Fellow.
2012 — 2015
Bachelor of Science (B.Sc.) — Computer Science
University of Warwick · United Kingdom

Projects

DSTA-ROSE: AI for Human Re-Identification Across Cameras
Defence Science and Technology Agency (DSTA)
AI-powered person re-identification system for trajectory tracking and person matching across camera networks. Deployed for COVID-19 contact tracing at Changi Exhibition Centre isolation facility.
[Trajectory Tracking] [Person Matching] Read More →
KLASS-ROSE: Image Enhancement for Person Re-ID in Low Light
KLASS
Image enhancement techniques and domain adaptation methods to improve person re-identification under low-light and challenging lighting conditions.
DSTA-ROSE: Attire Insensitive Person Re-ID
Defence Science and Technology Agency (DSTA)
Robust person re-identification that remains effective when subjects change clothing, addressing a critical challenge for long-term surveillance applications.

Competitions

🏆
1st
IEEE SPS 5-Minute Video Clip Contest — “Fight the Pandemic”
Visual Analytic System for Pandemic Management During COVID-19
[YouTube] [News] Read More →
🏈
2nd RU
NUS-MIT Healthcare AI Datathon 2020
Domain Shift Problem in Chest X-ray Diagnosis AI Model — 2nd Runner-up
[YouTube] [News] Read More →
Top 10
9th
Trusted Media Challenge 2021 — Deepfake Detection
9th Place Overall, 2nd among Universities — multi-modal deepfake and lip-sync detection
[Deepfake Demo] [Lip Sync Demo] Read More →

Datasets

NTU Outdoor Dataset
Location: Nanyang Technological University Outdoor Campus
Cameras: 51 real-world surveillance cameras (38 in released version)
Identities: 805 IDs (549 in released version)
Attributes: 40 soft biometric attributes
Coverage: 24-hour images (day & night)
Download Dataset →   Full Details →

Publications

A Unified Deep Semantic Expansion Framework For Domain-Generalized Person Re-Identification
Neurocomputing · 2024
[arXiv]
Color Space Learning for Cross-Color Person Re-Identification
ICME · 2024
[arXiv]
Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification
ICMIP · 2024
[ACM DL]
Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification
ICEEE · 2024
[arXiv]
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-Identification: New Dataset and Metrics
ICIP 2022 · Eugene P.W. Ang, Shan Lin, Alex C Kot
[arXiv]
DEX: Domain Embedding Expansion for Generalized Person Re-identification
BMVC 2021 · Eugene P.W. Ang, Shan Lin, Alex C Kot
[BMVC] [arXiv] [Video]
Multi-Domain Adversarial Feature Generalization for Person Re-Identification
IEEE Transactions on Image Processing (TIP) · 2020 · Shan Lin, Chang-Tsun Li, Alex C Kot
[IEEE] [arXiv]
Person Re-identification with Soft Biometrics through Deep Learning
Deep Biometrics, Springer · 2020 · Shan Lin, Chang-Tsun Li
[Springer]
Scalable Deep Feature Learning for Person Re-Identification
PhD Thesis · University of Warwick · 2019
[Warwick]
Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework
AusDM 2018, Springer · Yihan Guo, Shan Lin, Xiao Ma, Jay Bal, Chang-Tsun Li
[Springer] [arXiv]
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification
BMVC 2018 Spotlight · Shan Lin, Haoliang Li, Chang-Tsun Li, Alex C Kot
[BMVC] [arXiv] [YouTube]
End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification
DICTA 2017 · Shan Lin, Chang-Tsun Li
[IEEE]