Applied Computing and Multimedia Lab
Research Field
Professor Ching-Chun Huang completed his Bachelor’s, Master’s, and Doctoral degrees in Electrical Engineering at National Chiao Tung University. Currently, he serves as a professor in the Department of Computer Science at National Yang Ming Chiao Tung University. His primary research areas include signal processing, computer vision, machine learning/deep learning, pattern recognition, and applications of intelligent sensor networks. His work bridges theoretical foundations and practical applications, with significant achievements in smart video surveillance systems, visual human-computer interaction interfaces, intelligent transportation systems, medical image assistance systems, and wearable device applications.
Professor Huang’s scholarly work has been published in prestigious journals and conferences, including the IEEE Sensors Journal, IEEE T-CSVT, T-IP, T-ITS, and prominent conferences such as CVPR, ICCV, ECCV, NeurIPS, WACV, ACM Multimedia, ICIP, ICASSP, ICME, ICPR, among others, with many papers in IEEE conferences receiving high citation counts. He holds 20 international and domestic patents and has been honored with numerous awards for his papers and doctoral dissertations from various societies, including CVGIP, IPPR, TAAI, ITRI, and IEEE conferences. As an IEEE Senior Member, Professor Huang actively participates in international academic activities, including keynote speaking engagements at international conferences and serving as a session chair for ICME, ICIP, ICMR, and other prestigious events. In 2022, he was the conference chair for the IEEE ICCE-TW International Conference, highlighting his leadership and dedication to the field of electrical and computer engineering.
About the ACM Lab (Applied Computing and Multimedia Lab)
The Applied Computing and Multimedia (ACM) Lab conducts cutting-edge research in computer vision and multimedia systems, with a strong emphasis on applying advanced machine learning techniques—particularly deep learning—to solve real-world problems.
Our current research spans a broad range of applications, including:
Autonomous vehicles and intelligent robotic systems
Multimedia processing, image/video restoration, and enhancement
3D content processing for AR/VR applications
Document analysis and processing
Multi-modal large language models and integration with state-of-the-art generative models
Many of our projects are financially supported by both industry and government agencies, ensuring that our research remains practical, impactful, and aligned with the latest technological trends.
At the ACM Lab, students not only gain technical expertise but also develop crucial soft skills, such as self-directed learning and collaborative teamwork, preparing them to thrive in an ever-evolving global landscape.
We also strive to foster a diverse and international research environment. Our lab members come from various countries and regions, including Taiwan, Vietnam, Indonesia, Thailand, Malaysia, Japan, and Europe, offering a vibrant and multicultural atmosphere where students can exchange ideas and broaden their horizons.
Whether you're passionate about AI-driven innovation or looking for a collaborative and globally connected research environment, the ACM Lab is the place to grow, contribute, and make a difference.
Research Internship Program – ACM Lab (Applied Computing aand Multimedia Lab)
We are excited to offer a research internship program at the ACM Lab (Applied Computing and Multimedia Lab) for students interested in exploring cutting-edge deep learning technologies and their applications in real-world systems. This program is designed to immerse students in state-of-the-art (SOTA) research across a variety of domains, including:
Autonomous vehicles and ADAS (Advanced Driver Assistance Systems)
Intelligent robotics
Multimedia processing
Image and video restoration
3D processing for AR/VR and mixed reality
Document analysis and recognition
Multi-modal large language models (MLLMs)
Generative AI models and novel view synthesis
Surveillance and scene understanding systems
Possible Research Topics
Interns may work on a wide range of topics, such as:
Small object detection for ADAS applications
3D object detection using LiDAR
Multi-sensor fusion (LiDAR, camera, radar) for 3D scene understanding
Signal enhancement and restoration for images and point clouds
3D scene representation and novel view synthesis
Mixed reality and immersive environments
Smart surveillance systems and analytics
What You'll Learn
Through this program, students will gain valuable research and technical skills, including:
How to read and analyze research papers, extract key ideas, and present them effectively
How to implement ideas using programming languages and deep learning frameworks
How to collaborate in a team-oriented research environment
Advanced methods in computer vision, image processing, and machine learning
Support and Requirements
We offer partial stipend support and access to comprehensive research facilities to support your learning and innovation.
Applicants are expected to demonstrate their research interests and technical abilities in their resumes and supporting documents. A recommendation letter from an academic advisor will be considered a strong plus.
For more details, please visit our:
[Lab Website] http://acm.cs.nycu.edu.tw/
[Facebook Page]
ACM Lab TEEP Program Page https://teep.studyintaiwan.org/program/273
We welcome motivated students worldwide to join us and explore the frontier of applied AI and multimedia systems!
- Paper Award
- 2023 Best Master Thesis Award (Supervised master student) from Taiwanese Association for Artificial Intelligence (TAAI). (碩士論文優等獎)
- 2023 Best Paper Award in IPPR Conference on Computer Vision, Graphics, and Image Processing. (論文優等獎)
- 2023 Excellent Master Thesis Award (Supervised master student) from Image Processing and Pattern Recognition Society (IPPR). (碩士論文佳作獎)
- 2022 Excellent Paper Award in IPPR Conference on Computer Vision, Graphics, and Image Processing. (論文佳作獎)
- 2022 Excellent Master Thesis Award (Supervised master student) from Image Processing and Pattern Recognition Society (IPPR). (碩士論文佳作獎)
- 2021 Best Paper Award in IPPR Conference on Computer Vision, Graphics, and Image Processing. (論文優等獎)
- 2020 Excellent Master Thesis Award (Supervised master student) from Image Processing and Pattern Recognition Society (IPPR). (碩士論文佳作獎)
- 2019 Best Paper Award in International Conference on Multimedia Analysis and Pattern Recognition (MAPR) (論文優等獎)
- 2019 Excellent Ph.D. Thesis Award (Supervised Ph.D. student) from Image Processing and Pattern Recognition Society (IPPR). (博士論文佳作獎)
- 2018 Excellent Paper Award in IPPR Conference on Computer Vision, Graphics, and Image Processing. (論文佳作獎，黃俊雄紀念基金會佳作論文獎)
- 2018 Best Paper Award in Taiwan Telecommunications Annual Symposium (論文優等獎, 全國電信研討會)
- 2017 Excellent Paper Award in the Conference on National Advanced Manufacturing (論文佳作獎, 全國製造工程研討會)
- Project and Contest Honor
- 2023, our granted Education project was selected as the best performance award recognized by Ministry of Education, Taiwan (教育部「智慧創新跨域人才培育聯盟計畫」傑出計畫獎)
- 2022, the 15th Creative Ideation Contest (organized by Ministry of the Interior, Taiwan) - Nest towards the Future, Creative Competition, Gold Award. (內政部，智慧建築競賽，巢向未來組，金獎)
- 2022, &D Service Platform Highlight Achievement Award [Excellence Award] recognized by National Applied Research Lab (國研院研發服務平台亮點成果獎，優等獎)
- 2020, the 13th Creative Ideation Contest (organized by Ministry of the Interior, Taiwan) - Nest towards the Future, Creative Competition, Gold Award. (內政部，智慧建築競賽，巢向未來組，金獎)
- 2019, Our granted industrial project was selected as the best performance award recognized by Ministry of Science and Technology (MOST), Taiwan. (科技部/國科會產學合作計畫成果特優獎)
- 2018, the 11th Creative Ideation Contest (organized by Ministry of the Interior, Taiwan) - Nest towards the Future, Creative Competition, Silver Award. (內政部，智慧建築競賽，巢向未來組，銀獎)
- 2018, Our granted industrial project was selected as the best performance award recognized by Ministry of Science and Technology (MOST), Taiwan. (科技部/國科會產學合作計畫成果特優獎)
- 2017, Our granted industrial project was selected as the best performance award recognized by Ministry of Science and Technology (MOST), Taiwan. (科技部/國科會產學合作計畫成果特優獎)
- 2017, our government (MOST) research project was selected as the excellent young scholar program (科技部/國科會優秀年輕學者研究計畫)
- Personal Achievement
- 2021, Fellowship of Higher Education Academy (HEA), (通過英國高等教育學院教學認證)
- 2020, Outstanding Youth Research Award recognized by the Taiwan Consumer Electronics Society. (中華民國消費電子學會傑出青年獎)
- 2018, Excellent Youth Electrical Engineer Award recognized by The Chinese Electrical Engineering Society. (中國電機工程學會優秀青年電機工程師獎)
- 2018, Outstanding Area Chair Award in IEEE International Conference on Visual Communication and Image Processing, (IEEE Circuits and Systems Society Outstanding Area Chair Award)
- 2018, Promotion to IEEE Senior Member
Ph.D. in Electrical Engineering, National Chiao Tung University, Taiwan, 2010
M.S. in Electrical Engineering, National Chiao Tung University, Taiwan, 2002
B.S. in Electrical Engineering, National Chiao Tung University, Taiwan, 2000
Job Description
This position focuses on the exploration and implementation of advanced AI models for creative and high-level understanding tasks, including:
Generative AI models (e.g., diffusion models, GANs)
Novel view synthesis and scene generation
3D scene representation and mixed reality
Multi-modal integration with large language models
AI-based document enhancement and video-to-text generation
Interns will be involved in prototyping novel algorithms, benchmarking state-of-the-art techniques, and possibly co-authoring research papers.
ACM Lab website: http://acm.cs.nycu.edu.tw/
Preferred Intern Education Level
- Senior undergraduate students or Master’s students in Computer Science, Electrical Engineering, or related fields.
- Senior undergraduate students or Master’s students in AI-related disciplines.
Skill sets or Qualities
Strong interest in AI and computer vision
Basic experience in AI programming (e.g., Python, PyTorch, TensorFlow)
Good English communication skills
Highly self-motivated, independent, and collaborative attitude