Qingquan Sun - Student Research

Research Topics

As an active researcher, I am highly involved in student research as well. Both graduate and undergraduate students who have good academic performance and solid technical background are welcome and encouraged to join my team. Students are also welcome to take with me for research (e.g. CSE 5953, CSE 6950, CSE 6964, CSE 6976).

There are plenty of diverse research projects ongoing in the areas of machine learning, artificial intelligence, intelligent sensing, computer vision, data science, virtual reality/augmented reality, etc.

TA/RA Positions

TA positions are available every semester. It is required to have solid knowledge and strong background in the domain as an TA. The preference will be given to students who have done research projects with me.

The availability of RA positions is dependent on grant budget. The preference will be given to students who have done research projects with me and have exhibited strong research capability and diligent attitude in research.

Student Publication

Y. Liu (grad), "Integrating large language models into robotic autonomy: A review of motion, voice, and training pipelines", AI, 6(7) 158, 2025. https://doi.org/10.3390/ai6070158

M. Bhattacharya (grad), "Application of Transformer to Wearable Sensor-based Complex Human Activity Recognition", IEEE International Conference on Artificial Intelligence and Big Data, pp. 585-588, 2025. DOI: 10.1109/ICAIBD64986.2025.11082055

S. Ayyagari (grad), "A Dual-Modal Human Activity Recognition System Based on Deep Learning and Data Fusion", IEEE International Conference on Artificial Intelligence and Big Data, pp. 430-434, 2024. DOI: 10.1109/ICAIBD62003.2024.10604628

P. Smieja (undergrad), "Exhaled Breath Analysis Based Diabetes Detection with k-Nearest Neighbors Classifier", IEEE International Symposium on Computational Intelligence and Design, pp. 126-130, 2024. DOI: 10.1109/ISCID59865.2023.00037

S. Perez-Gamboa (grad), "A Wireless Sensor Based Multi-layer Hybrid Deep Learning Model for Highly Correlated Human Activity Recognition", IEEE Information Technology and Data Science, pp. 1-5, 2022. DOI: 10.1109/CITDS54976.2022.9914219

G. Lopez (undergrad), “Reducing Redundancy for Binary Non-negative Bases with a Light-weight Multi-level Model”, 2nd Computer Science Conference for California State University, 2022. https://scholarworks.calstate.edu/concern/theses/0v838590j

S. Perez-Gamboa (grad), "Improved Sensor Based Human Activity Recognition via Hybrid Convolutional and Recurrent Neural Networks", IEEE Inertial Sensors and Systems, pp. 1-4, 2021. DOI: 10.1109/INERTIAL51137.2021.9430460

Benjamin Gubbins, Dylan Gallinger-Scholz, Joseph Hayatt (undergrad), “Audio source separation using non-negative matrix factorization”, Southern California Conference for Undergraduate Research (SCCUR), 2021.

Dae Eun Yim (undergrad), “The face recognition system using principal component analysis”, Southern California Conference for Undergraduate Research (SCCUR). 2021.

Fahim Arko (undergrad), “Implementation and exploration of image classification using convolutional neural networks”, Southern California Conference for Undergraduate Research (SCCUR). 2021.

Veno Hua, Tianyao (undergrad), “Investigation and implementation for handwritten digit recognition using convolutional neural networks”, Southern California Conference for Undergraduate Research (SCCUR). 2021.

D. Wang (grad), "Novel Fault-Tolerant Decompression Method of Corrupted LZSS Files", Wireless Personal Communications, pp. 2555-2574, 2019. DOI: https://doi.org/10.1007/s11277-018-5268-6

D. Wang (grad), "Novel Fault-Tolerant Decompression Method of Corrupted Huffman Files", Wireless Personal Communications, pp. 2555-2574, 2018.

B. Abadines (undergrad), “A wearable sensor based hand movement rehabilitation and evaluation system”, IEEE International Conference on Sensing Technology, 2017. DOI: 10.1109/ICSensT.2017.8304471

E. Gonzalez (undergrad), “On Bed Posture Recognition with Pressure Sensor Array System”, IEEE Sensors Conference, 2016. DOI: 10.1109/ICSENS.2016.7808623

Student Research Competition