Course Instructor (UCONN):
I have been a study helper since my childhood. I am really fortunate to work with the following TAs who are really responsible and professional.
  • CSE-4940: Computer Science and Engineering Design Project II, Spring 2024 (24 students)
  • ENGR-5315: Capstone Project, Fall 2023
  • CSE-4939W: Computer Science and Engineering Design Project I, Fall 2023 (24 students)
  • CSE-4820/5819: Introduction to Machine Learning, Fall 2023 (77 students; TAs: Rigel Mahmood, Abdul Wassay Qureshi)
  • CSE-4502/5717: Big Data Analytics, Spring 2023 (66 students; TAs: Yijue Wang, Shaoyi Huang)
  • CSE-4820/5819: Introduction to Machine Learning, Fall 2022 (58 students; TAs: Mahan Tabatabaie, Toan Nguyen)
  • ENGR-5315: Capstone Project, Summer 2022
  • CSE-4502/5717: Big Data Analytics, Spring 2022 (52 students; TA: Sara Wrotniak)
  • CSE-4940: Computer Science and Engineering Design Project II, Spring 2022 (15 students)
  • CSE-4939W: Computer Science and Engineering Design Project I, Fall 2021 (15 students)
  • CSE-4820/5819: Introduction to Machine Learning, Fall 2021 (52 students; TA: Aaron Palmer)
  • CSE-4502/5717: Big Data Analytics, Spring 2021 (60 students; TAs: Yijue Wang, Shariq Khan)
  • CSE-5095: Special Topics in Computer Science and Engineering, Fall 2020
  • CSE-4940: Computer Science and Engineering Design Project II, Spring 2020 (17 students)
  • CSE-4939W: Computer Science and Engineering Design Project I, Fall 2019 (17 students)
  • CSE-5095: Special Topics in Computer Science and Engineering, Fall 2019
        Abstract: Due to facilitating urbanization and exploding urban population, urban computing has attracted much attention across industry and academia. Urban computing involves the computing applications of networks, sensors, computational power, data and interdisciplinary knowledge domains to improve the living quality of densely populated areas. Topics in this course may include general framework of urban computing, urban computing applications, smart cities, urban sensing and data collection, urban data management, data mining and machine learning techniques for urban data processing, spatial-temporal data analytics, and knowledge domain fusion. Discussion and exploration may cover these and other emerging challenges and advanced topics in urban computing. 

Teaching Assistant (HKUST):
  • COMP 1021: Introduction to Computer Science (Python), Spring 2016
  • COMP 2012H: OOP and Data Structures Honored (C++), Fall 2015
  • COMP 2012: OOP and Data Structures (C++), Spring 2014​
  • COMP 4901b: Social Information Network Analysis and Engineering, Fall 2013
  • COMP 2012: OOP and Data Structures (C++), Spring 2013