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 Fall Courses
CS 700B - MASTER'S PROJECT
DS 701B - MASTER'S THESIS
DS 701C - MASTER'S THESIS
CS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 488 - INDEPENDENT STUDY IN DS
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
DS 493 - DATA SCIENCE CAPSTONE II
DS 700B - MASTER'S PROJECT
DS 790A - DOCT DISSERTATION & RES
DS 493 - DATA SCIENCE CAPSTONE II - HONORS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 701B - MASTER'S THESIS
DS 492 - DATA SCIENCE CAPSTONE I
DS 701B - MASTER'S THESIS
DS 701C - MASTER'S THESIS
CS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 488 - INDEPENDENT STUDY IN DS
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
DS 493 - DATA SCIENCE CAPSTONE II
DS 700B - MASTER'S PROJECT
DS 790A - DOCT DISSERTATION & RES
DS 493 - DATA SCIENCE CAPSTONE II - HONORS
CS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 701B - MASTER'S THESIS
DS 492 - DATA SCIENCE CAPSTONE I
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
"Modeling and Optimizing the Performance of DNN Workflows in Heterogeneous Computing Systems"
Proceedings of IEEE Global Communications Conference, December, 2025.
"On a Hybrid Scheduling Approach Combining Whale Optimization and Deep Reinforcement Learning for DAG-Structured Machine Learning Workloads"
Proceedings of the 2nd International Workshop on Radio Frequency Computing, November, 2025.
"Trusted Department Recommendation Based on Blockchain for Industrial Chain Collaboration"
Proceedings of International Conference on Blockchain, published in Lecture Notes in Computer Science, September, 2025.
"Cross-layer Scheduling for MapReduce-based Big Data Workflows in Heterogeneous Hadoop Systems"
Proceedings of the International Conference on Computing, Networking and Communications, February, 2025.
"Optimizing Task Allocation for DNN Inference on Edge Devices"
Proceedings of the International Conference on Computing, Networking and Communications, February, 2025.
Proceedings of IEEE Global Communications Conference, December, 2025.
"On a Hybrid Scheduling Approach Combining Whale Optimization and Deep Reinforcement Learning for DAG-Structured Machine Learning Workloads"
Proceedings of the 2nd International Workshop on Radio Frequency Computing, November, 2025.
"Trusted Department Recommendation Based on Blockchain for Industrial Chain Collaboration"
Proceedings of International Conference on Blockchain, published in Lecture Notes in Computer Science, September, 2025.
"Cross-layer Scheduling for MapReduce-based Big Data Workflows in Heterogeneous Hadoop Systems"
Proceedings of the International Conference on Computing, Networking and Communications, February, 2025.
"Optimizing Task Allocation for DNN Inference on Edge Devices"
Proceedings of the International Conference on Computing, Networking and Communications, February, 2025.
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Journal Article
H. Lu, S. He, X. Li, M. Han, Chase Qishi Wu.
2025. "SRGTNet: Subregion-guided Transformer Hash Network for Fine-Grained Image Retrieval."
IEEE Transactions on Big Data , vol. 11 , pp. 2388-2400.
P. He, G. Liang, T. Xing, S. Tang, Chase Qishi Wu. 2025. "TLoRa: On a Feedback-Driven Segmented Turbo Coding Scheme for LoRa Sensor Network Communication in Agriculture." IEEE Sensors Journal , vol. 25 , no. 17 , pp. 34037-34048.
D. Yun, L. Zuo, Y. Gu, Chase Qishi Wu. 2025. "An automated parameter optimizer for data transfer performance testing." Software Impacts , vol. 24 .
Y. Jin, W. Shen, Chase Qishi Wu. 2025. "Power Prediction Based on Signal Decomposition and Differentiated Processing with Multi-level Features." Electronics, MDPI , vol. 14 , no. 10 .
N. Du, Y. Ji, Chase Qishi Wu, A. Hou, W. Nie. 2025. "Scheduling DAG-structured Workloads Based on Whale Optimization Algorithm." Journal of Supercomputing , vol. 81 .
P. He, G. Liang, T. Xing, S. Tang, Chase Qishi Wu. 2025. "TLoRa: On a Feedback-Driven Segmented Turbo Coding Scheme for LoRa Sensor Network Communication in Agriculture." IEEE Sensors Journal , vol. 25 , no. 17 , pp. 34037-34048.
D. Yun, L. Zuo, Y. Gu, Chase Qishi Wu. 2025. "An automated parameter optimizer for data transfer performance testing." Software Impacts , vol. 24 .
Y. Jin, W. Shen, Chase Qishi Wu. 2025. "Power Prediction Based on Signal Decomposition and Differentiated Processing with Multi-level Features." Electronics, MDPI , vol. 14 , no. 10 .
N. Du, Y. Ji, Chase Qishi Wu, A. Hou, W. Nie. 2025. "Scheduling DAG-structured Workloads Based on Whale Optimization Algorithm." Journal of Supercomputing , vol. 81 .
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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.
"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. "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. "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.
"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. "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. "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.