PhD/Postdoc/Visiting Scholar/RA Opportunities on AI, Robotics & Perception at CUHK Hong Kong

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PhD/Postdoc/RA (and Visiting Scholar/Prof/Ph.D.) Opportunities in AI, Robotics & Perception at CUHK Hong Kong

 

[RESEARCH AREA]

 

There are multiple openings for Postdoc/RA (and Visiting Scholar/Prof/Ph.D.) to perform research on Medical Robotics Perception & AI at The Chinese University of Hong Kong (CUHK, Hong Kong) starting immediately. Particularly, the main areas of interest include AI-assisted endoscopic diagnosis, biorobotics & intelligent systems, multisensory perception, AI learning and control in image-guided procedures, medical mechatronics, continuum, and soft flexible robots and sensors, deployable motion generation, compliance modulation/sensing, cooperative and context-aware flexible/soft sensors/actuators in human environments. For more details, please refer to the recent publications at Google Scholar or the lab website http://labren.org/.

 

The scholars will have opportunities to work with an interdisciplinary team consisting of clinicians and researchers from robotics, AI & perception, imaging, and medicine.
The salary/remunerations will be highly competitive and commensurate with qualifications and experience (e.g., Postdoc salary will be typically above 4300USD per month plus medical insurance etc.).

[QUALIFICATIONS]

* Background in AI, Computer Science/Engineering, Electronic or Mechanical Engineering, robotics, medical physics, automation, or mechatronics background
* Preferably have hands-on experience in AI/robots/sensors, instrumentation, intelligent systems

* Strong problem-solving, writing, programming, interpersonal, and analytical skills
* Outstanding academic records/publications or recognitions from worldwide top-ranking institutes
* Self-motivated and preferably with strong academic records 

[HOW TO APPLY]

Qualified candidates are invited to express their interests through an email with detailed supporting documents (including CV, transcripts, HK visa status, research interests, education background, experiences, GPA, representative publications, demo projects) to Prof. Hongliang Ren ASAP email: <hlren@ee.cuhk.edu.hk> Due to the significant amount of emails, we seek understandings that only shortlisted candidates will be informed/invited to interview.

4 papers accepted at MICCAI2024

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Congratulations to the following members (Long, Beilei, Yiming) for the papers accepted and to be presented by MICCAI2024 (accepted 858 out of 2771 papers this year, reaching an acceptance rate of 31%):

  1. Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
  2. EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
  3. LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
  4. EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

Team presentation and award at IPCAI2024

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Congratulations to Beilei and Mobarakl for the paper “Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery, (Beilei Cui, Mobarakol Islam, Long Bai, Hongliang Ren) Shortlisted for competing for the IPCAI2024 Best Paper Award and long presentation at  IPCAI2024 Barcelona, Spain.

The International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) is one of the most important venues for disseminating innovative peer-reviewed research in computer-assisted surgery and minimally invasive interventions. Now in its 15th year, IPCAI is an interdisciplinary conference that attracts clinicians, engineers and computer science researchers from various backgrounds, including machine learning, robotics, computer vision, medical imaging, data science, and sensing technologies. IPCAI fosters connections and showcases high-quality research in a unique and focused two-day event. The conference is formatted specifically to actively engage the attendees.

The IPCAI was held between June 18-19 2024 in conjunction with the Computer-Assisted Radiology and Surgery (CARS) Conference in Barcelona, Spain.

 

 
 
 
 

Dr Ren Won Young Researcher Award, CUHK

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Dr. Ren won the Young Researcher Award 2024, CUHK, Congratulations!

 

The Young Researcher Award is nominated annually by each Faculty to recognize young
academic staff with exemplary research achievements. The Award consists of a plaque and
an amount of HK$ I 00,000 in the form of a research grant.

 
 

Team presentations and award at ICRA2024

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Congratulations to the following members for the papers accepted by ICRA2024 Japan and presentations at  ICRA2024:

  1. Chained Flexible Capsule Endoscope: Unraveling the Conundrum of Size Limitations and Functional Integration for Gastrointestinal Transitivity
  2. Magnetic-Guided Flexible Origami Robot Toward Long-Term Phototherapy of H. Pylori in the Stomach
  3. Inconstant Curvature Kinematics of Parallel Continuum Robot without Static Model
  4. OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-Assisted Surgery
 
Congratulations on the excellent work done and poster award in ICRA workshop in Surgical Robotics:
 
  •  AI-Enhanced Robotic Microendoscope for Optical Coherence Tomography Imaging

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Team presentations at IJCAI 2023

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Congratulations to the following members for the presentations at  IJCAI2023 Macau, IJCAI2023 Symposium on Multimodal Reasoning – Techniques, Applications, and Challenges:

Multimodal Reasoning and Language Prompting for Interactive Learning Assistant for Robotic Surgery. Gokul Kannan, Lalithkumar Seenivasan, Hongliang Ren
IJCAI-2023 Symposium Session on Medical Large Models
Talk by Dr. Ren: Surgical motion understanding and generation towards intelligent minimally invasive robotic procedures

6 papers presented at MICCAI2023

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Congratulations to the following members for the papers accepted and presented by MICCAI2023:

Revisiting distillation for continual learning on visual question localized-answering in robotic surgery

 

L Bai, M Islam, H Ren*

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
Rectifying noisy labels with sequential prior: multi-scale temporal feature affinity learning for robust video segmentation

 

B Cui, M Zhang, M Xu, A Wang, W Yuan*, H Ren*

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
Co-attention gated vision-language embedding for visual question localized-answering in robotic surgery

 

L Bai, M Islam, H Ren*

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
LLCaps: learning to illuminate low-light capsule endoscopy with curved wavelet attention and reverse diffusion

 

L Bai, T Chen, Y Wu, A Wang, M Islam, H Ren*

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

 

A Wang, M Xu, Y Zhang, M Islam, H Ren*

arXiv preprint arXiv:2306.00451, MICCAI2023
SurgicalGPT: End-to-End Language-Vision GPT for visual question answering in surgery

 

L Seenivasan, M Islam, G Kannan, H Ren*

arXiv preprint arXiv:2304.09974, MICCAI2023

Also congrats on Lalith’s award for best MICCAI reviewer & Andy’s workshop presentation

Team presentations and award at ICRA2023

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Congratulations to the following members for the papers accepted by ICRA2023 and presentations at  ICRA2023:

Surgical-VQLA: transformer with gated vision-language embedding for visual question localized-answering in robotic surgery

L Bai, M Islam, L Seenivasan, H Ren*

arXiv preprint arXiv:2305.11692, ICRA 2023

Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks

W Pang, M Islam, S Mitheran, L Seenivasan, M Xu, H Ren
IEEE Robotics and Automation Letters 7 (4), 12623-12630
Congratulations on the excellent work done and poster award in ICRA workshop New Evolutions in Surgical Robotics: Embracing Multimodal Imaging Guidance, Intelligence, and Bio-inspired Mechanisms held at ICRA 2023.
  • Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Towards Robot-assisted Intubation, Guankun Wang, Tian-Ao Ren, Jiewen Lai, Long Bai, and Hongliang Ren
  • Relational Reasoning in VQA Models for Visual Question Answering in Robotic Surgery, Lalithkumar and Hongliang Ren
https://www.icra2023.org/

Team award at 48th International Exhibition of Inventions Geneva

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Our Team (Ruoyi, Jiewen, et al..) project Vision-guided Fiberoptic Nasotracheal Intubation Robot won Silver Medal, at the 48th International Exhibition of Inventions Geneva,  in April 2023!

The project was also showcased at

  • 2023, June, Interview with TVB New Technology Health Information新科技健康資訊 for Intubation Robot
  • 2023, Hong Kong Convention and Exhibition Centre, HKTDC Hong Kong International Medical and Healthcare Fair, 16-18 May