Academic Profile : Faculty

BihanWen_NTU2020_long2.jpg picture
Asst Prof Wen Bihan
Nanyang Assistant Professor, School of Electrical & Electronic Engineering
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Biography

Dr. Bihan Wen received the B.Eng. degree in Electrical and Electronic Engineering (EEE) from Nanyang Technological University (NTU), Singapore, in 2012, the MS and PhD degrees in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), USA, in 2015 and 2018, respectively. He joined Nanyang Technological University in 2019 as a Nanyang Assistant Professor. His research interests span areas of machine learning, computational imaging, computer vision, image and video processing, AI model security and robustness, etc. 

Dr. Bihan Wen is an IEEE Senior Member. He is the SubCommittee Chair of IEEE Computational Imaging (CI) TC, a member of IEEE Visual Signal Processing and Communications (VSPC) TC, and Treasurer (2024) and Vice Chair (2025) of IEEE Signal Processing Society, Singapore Chapter. He is an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). He serves as a Guest Editor for IEEE Signal Processing Magazine (SPM), 2021-2023, IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2023-2025, Computer Vision and Image Understanding (CVIU), 2023 - 2024, and Remote Sensing, 2023-2025. He is the Publicity Co-Chair of the IEEE Conference on AI (CAI) 2023; the Technical Program Chair (TPC) of the IEEE MIPR Conference 2022, IEEE ICARCV 2024, and IEEE VCIP 2026; the Lead Organizer of the LCI Workshops at ICCV 2019 and 2021, and the IEEE SPACE webinar 2020-2021. He regularly serves as the Area Chair for IEEE conferences such as ICIP, ICASSP, ICME, ISCAS, etc. 

Dr. Bihan Wen received the 2022 Early Career Teaching Excellence Award and 2021 Inspirational Mentor for Koh Boon Hwee Award from NTU; the 2016 Yee Fellowship from UIUC; and the 2012 Singapore Professional Engineers Board (PEB) Gold Medal. He won several paper awards, including the Best Paper Award (Runner-Up) from IEEE ICME 2020, the Best Paper Award from IEEE ICIEA 2023, and the Best Paper Award from IEEE MIPR 2023. He was ranked the World Top 2% Scientists in Artificial Intelligence, for the Year 2021 to 2024, consecutively, by Stanford University. He was awarded the IEEE CAS Society VSPC Rising Star (Runner-Up) 2023.

Research Interests

1. Machine Learning - deep learning, transform learning, sparse and low-rank modeling, optimization, etc. 

2. Visual Signal Processing - Image denoising, super-resolution, low-light & shadow, compression, etc. 

3. Computer Vision - Robust classification, segmentation, object detection, face recognition, etc. 

4. Computational Imaging - SAR, hyperspectral, MRI, CT, X-Ray, Compressive Sensing, etc. 

5. AI security - Adversarial attack and defense, foundation model hallucination & explainability, etc. 

We have multiple openings and are ALWAYS looking for GOOD and Highly Self-Motivated 

a) PhD students 

b) Post-doc Research Fellows 

c) Research Associates / Project Officer 

Send your resume / CV and find up the Application Form to apply. Only qualified candidates will be contacted.

 

Current Grants

  • Harnessing Randomness and Chaos in Complex Disordered Photonic Systems
  • Project AI-SSR
  • Development of AI Technologies for Ultrasound Image Shadow Removal
  • Towards More Trustworthy Generative AI through Robustness Enhancement and Hallucination Reduction
  • Towards More Trustworthy Generative AI through Robustness Enhancement and Hallucination Reduction (EEE)
  • Satellite-based detection and characterization of Volcanic Ash Plumes
  • Harnessing Randomness and Chaos in Complex Disordered Photonic Systems - WP1.2 Compact disordered photonics through inverse and ML designs
  • WiseSAR
  • Harnessing Randomness and Chaos in Complex Disordered Photonic Systems - WP4 Snapshot high performance hyperspectral imaging systems in the fingerprint mid-IR region
  • Data-driven Models For Analyzing Smart Sensors And Meters In Water Distribution Networks

Awards & Recognition

Awards
IEEE CASS VSPC Rising Star (Runner-Up), 2023
Best Paper Award, from IEEE MIPR 2023
Best Paper Award, from IEEE ICIEA 2023
World Top 2% Scientists in Artificial Intelligence (AI), Year 2021-2024, by Stanford.
Early Career Teaching Excellence Award, 2022
Inspirational Mentorship for Koh Boon Hwee Award, 2021
Best Paper Award (Runner-Up), IEEE ICME 2020
Nanyang Assistant Professorship, 2019
 
Fellowships & Other Recognition
1st Place of PhD Thesis Competition, IEEE ICME, 2018.
Best Talk Award by NVIDIA, CSLSC, 2018.
Yee Memorial Fellowship, UIUC, 2016
Nomination for the Harold L. Olesen Best Teaching Award, UIUC, 2013
Professional Engineers Board (PEB) Gold Medal, Singapore, 2012
 

Teaching

Courses Taught
Undergrad Courses:
IE2110L: Signals and Systems Lab
IE0005: Introduction to Data Science and Artificial Intelligence
IE2108: Algorithm & Data Structure
IE4483: Artificial Intelligence & Data Mining

Graduate Courses:
IE6483: Artificial Intelligence & Data Mining (Graduate-Level)
NM6005: Digital Signal Processing (TUM-NTU Program)
EE6401: Advanced Digital Signal Processing
 
Supervision of PhD Students
Dr. Lanqing Guo, graduated in 2024 (EEE Best PhD Thesis).
Dr. Hao Cheng, graduated in 2024.
Dr. Rongkai Zhang, graduated in 2023.
Dr. Tao Bai (co-supervised), graduated in 2023.