Chase Wu
Chase Wu
(Qishi Wu) Professor, Data Science
2104 Guttenberg Information Technologies Center (GITC)
About Me
Chase Wu is a professor and the associate chair in Department of Data Science. His work has been supported by various funding agencies, including NSF, DOE, DHS, and ORNL, where he is a collaborative research staff. He has published over 300 research articles in highly reputed conference proceedings, journals, and books.
Education
Ph.D.; Louisiana State University and Agricultural & Mechanical College; Computer Science; 2003
M.S.; Louisiana State University; Computer Science; 2002
M.S.; Purdue University-Main Campus; Geomatics; 2000
B.S.; Zhejiang University; Remote Sensing; 1995
M.S.; Louisiana State University; Computer Science; 2002
M.S.; Purdue University-Main Campus; Geomatics; 2000
B.S.; Zhejiang University; Remote Sensing; 1995
Website
2025 Spring Courses
CS 700B - MASTER'S PROJECT
DS 701B - MASTER'S THESIS
CS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
DS 700B - MASTER'S PROJECT
DS 790A - DOCT DISSERTATION & RES
CS 444 - BIG DATA SYSTEMS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
CS 701B - MASTER'S THESIS
DS 701B - MASTER'S THESIS
CS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
DS 700B - MASTER'S PROJECT
DS 790A - DOCT DISSERTATION & RES
CS 444 - BIG DATA SYSTEMS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
CS 701B - MASTER'S THESIS
Teaching Interests
Big data, algorithms, networks, machine learning, cybersecurity
Past Courses
CS 444: BIG DATA SYSTEMS
CS 492: DATA SCIENCE CAPSTONE I
CS 493: DATA SCIENCE CAPSTONE II
CS 493: DATA SCIENCE CAPSTONE II - HONORS
CS 644: INTRODUCTION TO BIG DATA
CS 698: ST:
CS 698: ST: BIG DATA
CS 492: DATA SCIENCE CAPSTONE I
CS 493: DATA SCIENCE CAPSTONE II
CS 493: DATA SCIENCE CAPSTONE II - HONORS
CS 644: INTRODUCTION TO BIG DATA
CS 698: ST:
CS 698: ST: BIG DATA
Research Interests
Big data, machine learning, high-performance networking, parallel and distributed computing, sensor networks, scientific visualization, and cyber security
Conference Paper
“An Extension of Pathfinding Algorithms for Randomly Determined Speeds”
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024.
“Optimized Deliverer Selection in Blockchain-Based P2P Content Delivery Network”
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024.
“On an Approximation Algorithm Combined with D3QN for HDFS Data Block Recovery in Heterogeneous Hadoop Clusters”
Proceedings of the 10th Intelligent Systems Conference, September 2024.
“Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems”
Proceedings of the 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, May 2024.
“Dynamic Priority Job Scheduling on a Hadoop YARN Platform”
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, December 2023.
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024.
“Optimized Deliverer Selection in Blockchain-Based P2P Content Delivery Network”
Proceedings of the 43rd IEEE International Performance Computing and Communications Conference, November 2024.
“On an Approximation Algorithm Combined with D3QN for HDFS Data Block Recovery in Heterogeneous Hadoop Clusters”
Proceedings of the 10th Intelligent Systems Conference, September 2024.
“Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems”
Proceedings of the 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, May 2024.
“Dynamic Priority Job Scheduling on a Hadoop YARN Platform”
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, December 2023.
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Journal Article
N Fan, Chase Qishi Wu, S Benabdallah, J Li, Y Gao, Q Wang. 2024. “On a Security Scheme Against Collusive Attacks in Vehicular Ad Hoc Networks.” Vehicular Communications, vol. 49.
X Liu, T Xing, X Meng, Chase Qishi Wu. 2024. “TA-GAE: Crowdsourcing Diverse Task Assignment Based on Graph Autoencoder in AIoT.” IEEE Internet of Things Journal, vol. 11, no. 8, pp. 14508-14522.
X Chen, S He, L Sun, Y Zheng, Chase Qishi Wu. 2024. “A Survey of Consortium Blockchain and its Applications.” MDPI Cryptography, vol. 8, no. 2.
Y Li, L Bao, K Huang, Chase Qishi Wu, X Li. 2024. “RSFIN: A Rule Search-based Fuzzy Inference Network for Performance Prediction of Configurable Software Systems.” The Journal of Systems & Software, vol. 209.
S Xia, T Xing, Chase Qishi Wu, G Liu, J Yang, K Li. 2024. “AQMon: A Fine-Grained Air Quality Monitoring System based on UAV Images for Smart Cities.” ACM Transactions on Sensor Networks, vol. 20, no. 2, pp. 1-20.
X Liu, T Xing, X Meng, Chase Qishi Wu. 2024. “TA-GAE: Crowdsourcing Diverse Task Assignment Based on Graph Autoencoder in AIoT.” IEEE Internet of Things Journal, vol. 11, no. 8, pp. 14508-14522.
X Chen, S He, L Sun, Y Zheng, Chase Qishi Wu. 2024. “A Survey of Consortium Blockchain and its Applications.” MDPI Cryptography, vol. 8, no. 2.
Y Li, L Bao, K Huang, Chase Qishi Wu, X Li. 2024. “RSFIN: A Rule Search-based Fuzzy Inference Network for Performance Prediction of Configurable Software Systems.” The Journal of Systems & Software, vol. 209.
S Xia, T Xing, Chase Qishi Wu, G Liu, J Yang, K Li. 2024. “AQMon: A Fine-Grained Air Quality Monitoring System based on UAV Images for Smart Cities.” ACM Transactions on Sensor Networks, vol. 20, no. 2, pp. 1-20.
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Edited Collection
“Special Issue on Parallel and Edge Computing with Artificial Intelligence for Sensor Networks”
Sensors, MDPI, May 2022.
“Special Issue on Recent Advances and Developments in e-Health”
Computational and Mathematical Methods in Medicine, Hindawi, May 2022.
“Special Issue on Workflows in Support of Large-Scale Science”
Concurrency and Computation: Practice and Experience, Wiley, March 2022.
“Special Issue on Computational Intelligence and Big Data for Scientific and Technological Resources and Services”
IEICE Transactions on Information and Systems, August 2021.
Sensors, MDPI, May 2022.
“Special Issue on Recent Advances and Developments in e-Health”
Computational and Mathematical Methods in Medicine, Hindawi, May 2022.
“Special Issue on Workflows in Support of Large-Scale Science”
Concurrency and Computation: Practice and Experience, Wiley, March 2022.
“Special Issue on Computational Intelligence and Big Data for Scientific and Technological Resources and Services”
IEICE Transactions on Information and Systems, August 2021.
Conference Proceeding
“Detecting Low-level Radiation Sources Using Border Monitoring Gamma Sensors”
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2020.
“Performance Modeling and Prediction of Big Data Workflows: An Exploratory Analysis”
Proceedings of the 29th International Conference on Computer Communications and Networks, August 2020.
“Performance Prediction of Big Data Transfer Through Experimental Analysis and Machine Learning”
Proceedings of the 19th IFIP Networking Conference, June 2020.
“On Performance Prediction of Big Data Transfer in High-performance Networks”
Proceedings of IEEE International Conference on Communications, June 2020.
“Food Image Recognition Based on Densely Connected Convolutional Neural Networks”
Proceedings of the 2nd International Conference on Artificial Intelligence in Information and Communication, February 2020.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2020.
“Performance Modeling and Prediction of Big Data Workflows: An Exploratory Analysis”
Proceedings of the 29th International Conference on Computer Communications and Networks, August 2020.
“Performance Prediction of Big Data Transfer Through Experimental Analysis and Machine Learning”
Proceedings of the 19th IFIP Networking Conference, June 2020.
“On Performance Prediction of Big Data Transfer in High-performance Networks”
Proceedings of IEEE International Conference on Communications, June 2020.
“Food Image Recognition Based on Densely Connected Convolutional Neural Networks”
Proceedings of the 2nd International Conference on Artificial Intelligence in Information and Communication, February 2020.
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Book
Chase Qishi Wu, Zongmin Wang, Guanling Chen, Denise Ferebee. 2018. “Special Issue on Recent Advances and Developments in Mobile Health.” Journal of Healthcare Engineering, Hindawi, 2018.
Nageswara S.V. Rao, Richard R. Brooks, Chase Qishi Wu. 2018. “Proceedings of International Symposium on Sensor Networks, Systems and Security.” Springer International Publishing AG, 2018. ISBN 978-3-319-75683-7.
Nageswara S.V. Rao, Richard R. Brooks, Chase Qishi Wu. 2018. “Proceedings of International Symposium on Sensor Networks, Systems and Security.” Springer International Publishing AG, 2018. ISBN 978-3-319-75683-7.
Chapter
D. Yun, Chase Qishi Wu. 2018. “Stochastic Approximation-based Transport Profiling for Big Data Movement over Dedicated Connections.” In S. Kadry (Eds.), pp. 113-138. Stochastic Methods for Estimation and Problem Solving in Engineering, IGI Global, 2018.
Fei Cao, Michelle M Zhu, Chase Qishi Wu. 2015. “Green Cloud Computing with Efficient Resource Allocation Approach.” In X. Liu and Y. Li (Eds.), pp. 33. Green Services Engineering, Optimization, and Modeling in the Technological Age, 2015.
Fei Cao, Michelle M Zhu, Chase Qishi Wu. 2015. “Green Cloud Computing with Efficient Resource Allocation Approach.” In X. Liu and Y. Li (Eds.), pp. 33. Green Services Engineering, Optimization, and Modeling in the Technological Age, 2015.