Dr. Zhongliang Jiang

Demonstrations and Personal Web Links

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News

• 06 Dec (2024): 1 paper early accepted by IPCAI 2025
• 25 Oct (2024): I will be serving as Guest Editor of the special collection on "Robot-Assisted Medical Imaging" in the prestigious IEEE Transactions on Robotics (TRO)
• 15 Aug (2024): Serves as an Associate Editor for ICRA2025
• 03 July (2024): 1 paper accepted by IEEE Transactions on Medical Imaging
• 20 Jun (2024): 1 paper accepted by IEEE Transactions on Instrumentation and Measurement
• 21 May (2024): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
• 02 Jan (2024): 1 paper accepted by Annual Review of Control, Robotics, and Autonomous Systems
• Dec (2023): Will co-organize a workshop on 2nd Robotic-Assisted Medical Imaging at ICRA2024, May, Yokohama, Japan
• 21 Dec (2023): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
• 21 Nov (2023): 1 paper accepted by The International Journal of Robotics Research (IJRR)
• 11 Oct (2023): MICCAI 2023 "Best paper Runner up" award for "MI-SegNet" paper
• 01 Sep (2023): Serves as an Associate Editor for ICRA2024
• 01 Aug (2023): 1 paper accepted by Medical Image Analysis
• 23 Jun (2023): 1 paper accepted by MICCAI2023
• 22 Jun (2023): 1 paper accepted by  Medical Image Analysis
• 21 Jun (2023): 2 paper accepted by IROS2023
• 09 May (2023): 1 paper accepted by IEEE Robotics and Automation Letters
• 08 May (2023): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
• Dec (2022): Will co-organize a workshop on Robotic-Assisted Medical Imaging at ICRA2023, May, London
• 18 Oct (2022): successfully defended doctoral thesis with the highest distinction "summa cum laude"
• 08 Aug (2022): 1 paper accepted by IEEE Transactions on Instrumentation and Measurement
• 24 Apr (2022): 1 paper directly accepted by IEEE Robotics and Automation Letters
• 18 Apr (2022): 1 paper directly accepted by IEEE Robotics and Automation Letters
• 30 Jun (2021): 1 paper accepted IEEE Robotics and Automation Letters (presented at IROS2021)
• 23 Jun (2021): 1 paper accepted for publication in IEEE Transactions on Industrial Electronics
• 28 Feb (2021): 1 paper accepted to ICRA2021
• 21 Oct (2020): 1 paper accepted for publication in IEEE Transactions on Industrial Electronics
• 30 May (2020): 1 paper accepted for publication in IEEE Transactions on Medical Robotics and Bionics
• 07 Jan (2020): 1 paper accepted to IEEE Robotics and Automation Letters (presented at ICRA2020)
• 03 Oct (2018): Join CAMP

Curriculum Vitae

Dr. Zhongliang Jiang is a senior research scientist and is leading the Robotics and Ultrasound team (RobUSt) at the Chair of Computer Aided Medical Procedures (CAMP). He received his Ph.D. in computer sciences with the highest distinction, “summa cum laude” at TUM. Dr. Jiang has co-authored over 40 publications in top-tier journals and conferences in the field of both robotics and medical imaging, including IJRR, MedIA, ARCRAS, TIE, TASE, TIM, TMRB, ICRA, IROS, and MICCAI. He won the award of the Best Paper Runner-up at MICCAI 2023. He is also one of the founders and main organizers of the series workshop on robot-assisted medical imaging (RAMI) at ICRA2023 and ICRA2024 and served as an associate editor for ICRA. 

• 03.2022 - now: senior research scientist
• 10/2018 - 10.2022: Ph.D. student at CAMP, TUM
• 01/2017 - 06/2018: Research Assistant, Shenzhen Institute of Advanced Technology (SIAT), China
• 09/2014 - 01/2017: M. Eng, Harbin Institute of Technology (Shenzhen), China

Awards

• 2023         Best Paper Runner up of MICCAI 2023 (3 out of 2253 submissions) 
• 2022         summa cum laude (highest distinction) for Ph.D. thesis
• 2017         Excellent Master Graduate (Gold medal for master’s thesis, HIT Shenzhen)
• 2016         Best Student Paper Award Finalist (RCAR2016)

Research Interests

• Medical Robotics: automatic robotic ultrasound acquisition and diagnosis system
• Image Processing: RGB-D camera image processing, surface registration, ultrasound imaging segmentation, multi-modality image registration
• Robotic Learning: reinforcement learning, inverse reinforcement learning, imitation learning to learn operation skills form doctors
• Robotic Control: MPC, shared control, Human-Robot Interaction, fuzzy control to ensure safety and accomplish complex medical tasks

Professional Services

§   Editor of journals and conferences, including:

• Associate Editor of IEEE International Conference on Robotics and Automation (ICRA 2024, ICRA2025)
• Guest Editor of the special collection on "Robot-Assisted Medical Imaging" in the prestigious IEEE Transactions on Robotics (TRO)
• Guest Editor of a special issue of “AI Technologies and Applications in Medical Robots” in the journal of CAAI Transactions on Intelligence Technology

§   Organizer of international events, including:

• Main organizer of ICRA23 workshop “1st RAMI—Robot-Assisted Medical Imaging”
• Main organizer of ICRA24 workshop “2nd RAMI—Robot-Assisted Medical Imaging”
• Organizer of the 1st MRC symposium on Medcal Robotics, Hongkong, May, 2024

§   Reviewer of international funding programs, including:

• Canada Foundation for Innovation 2023
• fwf österreichischer wissenschaftsfonds (Austrian Science Fund)

§   Reviewer of journals and conferences, including:

• Nature Machine Intelligence, Nature Communication, TRO, IEEE Reviews in Biomedical Engineering, TASE, TMECH, TIE, RAL, TBME, TIM, TUFFC, TMRB,  IEEE Sensors Journal, ijmrcas
• ICRA 2015-2016, 2020-2023; 
• IROS 2017, 2021-2023

Student Projects

If you are looking for an IDP, guided research or Master thesis around these topics please contact me.

Topic 1: Ultrasound Image Segmentation using Latent Information

Topic 2: Learning from Demonstrations: Automatic Robotic Ultrasound scanning

Topic 3: Intelligent human-robotic shared control

Topic 4: Transverse artery segmentation and peripheral arterial disease assessment

Topic 5: Atlas-based Optimal Scanning Trajectory for Robotic US imaging Based on Deep Learning

Topic 6: Non-rigid Ultrasound and CT Registration based on Skeleton Feature

Topic 7: The Needle Detection and Reconstruction Based on Convolutional Neural Network (CNN)

Topic 8: Sensor-less 3D Ultrasound Imaging Reconstruction using deep learning framework

Here is a list of current and previously supervised projects:

Year	Type	Topic	By	Status
2023	Master's Thesis	Free-hand 3D ultrasound reconstruction	Z. Chen	ongoing
2023	Master's Thesis	Enhancing Needle Tip Detection using Motion Magnification Algorithms	C. Li	Submitted to a Journal
2023	Master's Thesis	needle segmentation in 2D ultrasound using deep learning	H. Jiang	Finished
2023	Lab project	Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging using Reinforcement Learning	C. Qian	Submitted to a journal
2023	Master's Thesis	Segmentation of Bone Surface Ultrasound Images	Y. Kang	Published in IEEE TASE
2023	Master's Thesis	Robotic Ultrasound Servoing for Smart Probe Positioning	X. Li	Published in IEEE TIM
2023	Guided research	Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph	C. Li	Accepted in IROS23
2022	Master's Thesis	Autonomous Screening and Diagnosis of Limb Artery Tree	F. Duelmer.	Published in IEEE TASE
2022	Master's Thesis	Stiffness-based US and CT Registration for Optimal Scanning Trajectory	C. Zhang	Published in IEEE RAL
2022	Master's Thesis	Learning-based deformation correction for robotic US imaging	Y. Zhou	Published in MedIA
2021	Master's Thesis	Markerless Motion Capture for Reactive Robotic US	N. Danis	Published in IEEE TIM
2021	Master's Thesis	Reward Learning from Few Demonstrations towards Standard Ultrasound Scan Planes	Y. Bi	Published in IJRR
2021	Lab project	Deformation-Aware Robotic 3D Ultrasound	Y. Zhou	Published in RAL-IROS2021
2020	Master's Thesis	Vision-based Robotic Ultrasound for Three-dimensional Imaging of Blood Vessels using RGB-D Camera	H. Wang	Published in ICRA2021
2020	Master's Thesis	Autonomous Robotic Screening of Tubular Structures	Z. Li	Published in IEEE TIE
2020	Bachelor's Thesis	Fuzzy Force Controller for Robotic Ultrasound	M. Shi	Finished

Demos