Dr. Song Fu

     Associate Professor

     Director, Dependable Computing Systems Lab
     Department of Computer Science and Engineering
     University of North Texas
     Denton, Texas 76203 (about 30 miles north of Dallas)

Dr. Song Fu is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas. He is the Director of the Dependable Computing Systems Lab (DCS). He was an Assistant Professor in the Department of Computer Science and Engineering at New Mexico Institute of Mining and Technology from 2008 to 2010. He obtained the Ph.D. degree in Computer Engineering from Wayne State University, Detroit Michigan, in 2008. His research interest is primarily in cyberinfrastructures, parallel, distributed and IoT-edge-cloud systems, including architecture, performance, dependability, security, and machine learning. His research has been supported in part by funding from the National Science Foundation, Department of Energy, Amazon, Cisco, Nvidia, Xilinx and University of North Texas.


[News] [Research Interests] [Selected Publications] [Teaching] [Students] [Services] [Correspondence] {Publications}



  • Our proposal on connected autonomous vehicles cyber infrastructure was funded by NSF, July 2020.
  • Our SPANet (attention deep learning) paper won IEEE ICME'20 Best Student Paper Award!
  • George successfully defended his dissertation in May 2020. Congratulations, Dr. Qiao!
  • Our paper on deep learning (convolutional neural network) was accepted by the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020).
  • Two papers on deep learning networks were accepted by 2020 IEEE International Conference on Multimedia & Expo (ICME 2020).
  • Our F-Cooper (cooperative perception on edge) paper won ACM/IEEE SEC'19 Best Paper Award!
  • We organized a Workshop on Connected Autonomous Vehicles on August 1, 2019 at UNT.
  • Our proposal on vehicular edge computing and security was funded by NSF, January 2019.
  • Our project on self-driving cars and edge computing attracted media coverage: NTTV Denton Record-Chronicle, KRLD Radio, UNT News, and UNT CENG.
  • Zongze Li successfully defended his doctoral dissertation on anomaly detection in October 2019. Congrats, Dr. Li!
  • Our F-Cooper paper on feature-level cooperative perception on vehicular edge was accepted by ACM/IEEE Symposium on Edge Computing (SEC 2019). 
  • Our paper on reliable storage systems was accepted by the 38th IEEE International Symposium on Reliable Distributed Systems (SRDS 2019).
  • A paper on connected autonomous vehicles was accepted by the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019). Here is our demo.
  • A paper on disk failure prediction was accepted by the 16th IEEE International Conference on Autonomic Computing (ICAC 2019).
  • A paper on compaction optimization for KV stores was accepted by the 48th ACM/IEEE Conference on Parallel Processing (ICPP 2019).
  • George and Zongze join Los Alamos National Lab as research interns in the summer of 2019.
  • UNT Cybersecurity Summit was held on October 19, 2018 (Program).
  • A recent work on embedded deep learning for vehicular edge computing will be presented in ACM/IEEE Symposium on Edge Computing (SEC 2018).
  • Awarded a research grant from LANL for developing system monitoring and analytics system, May 2018.
  • A collaborative paper on characterizing interconnect errors was accepted by IEEE International Conference on Dependable Systems and Networks (DSN 2018).
  • Awarded a research grant from LANL for developing resilient parallel file system, March 2018.

Research Interests

As parallel and distributed computing systems become more and more large-scale and complex, new foundations are needed for understanding and controlling their integral properties. Dr. Fu’s research is dedicated to the investigation, establishment, and experimental evaluation of new theoretical foundations and system artifacts to significantly improve the system resilience, power & energy, and performance. His research interest is primarily in cyberinfrastructures, parallel, distributed, edge and cloud systems, including


  • Cyberinfrastructure
  • Distributed and Parallel Systems
  • IoT, Edge, and Cloud Computing
  • Resilience and Dependability
  • Intelligent Systems, Machine Learning, and Deep Learning
  • Connected and Autonomous Vehicles
  • Containerization and Resource Management
  • High-Performance Computing and Storage Systems

Selected and Recent Publications  [Complete list]

  • Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position, IJCAI'20.
  • SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition, IEEE ICME'20 (Best Student Paper Award).
  • F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds, ACM/IEEE SEC'19 (Best Paper Award).
  • Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance, IEEE SRDS'19.
  • Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems, IEEE ICAC'19.
  • Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds, IEEE ICDCS'19.
  • Characterizing and Modeling Reliability of Declustered RAID, IEEE/IFIP DSN'19.
  • Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores, ACM/IEEE ICPP'19.
  • Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale System, IEEE/IFIP DSN'18.
  • Reliability Characterization of Solid State Drives in a Scalable Production Datacenter, IEEE BigData'18.
  • ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing, IEEE BigData'18.
  • Characterizing Power and Energy Efficiency of Legion Runtime and Applications: An Early Experience, IEEE IGSC'16.
  • Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems, IEEE CLOUD'16.
  • TracSim: Simulating and Scheduling Trapped Power Capacity to Maximize Machine Room Throughput, Parallel Computing, 2016.
  • Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience, IEEE IISWC'15.
  • F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability, IEEE/ACM IPDPS'14.
  • Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures, IEEE SRDS'13.


Dr. Fu teaches graduate and undergraduate course related to computer architecture, security, operating systems, and cloud, distributed and parallel computing.


  • CSCE 3600: Principles of Systems Programming  (F20)

  • CSCE 3730: Reconfigurable Logic  (F10, F11, F12, F13, F14)

  • CSCE 4610: Computer Architecture  (S19)

  • CSCE 4620/5620: Real-Time Operating Systems  (F13, F14, F15, F16, F17, S20)

  • CSCE 5610: Computer Systems Architecture  (F19)

  • CSCE 5550: Introduction to Computer Security  (S14)

  • CSCE 5640: Operating System Design  (F12, F15, F16)

  • CSCE 5933: Virtualization Technologies and Security  (S11)

  • CSCE 6680: Advanced Distributed Computing  (S12, S13, S14, S15, S16)

  • CSCE 6933: Advanced Topics in Security and Privacy  (S15)

  • CSCE 6933: Advanced Topics in Connected Autonomous Vehicles  (F20)


Current graduate students and research associates in the Dependable Computing Systems (DCS) Lab:    


  • Zhaochen Gu  (PhD student)

  • Jacob Hochstetler  (PhD candidate)

  • Beilei Jiang  (PhD student, co-advised with Dr. Hui Zhao)

  • Shuwen Liang  (PhD candidate)

  • Xu Ma  (PhD candidate)

  • Sihai Tang  (PhD candidate)

  • Tianyu Bai  (PhD student)

  • Dave Fan  (PhD student)

  • Fanjie Ye (Master's student)

  • Jason Hirsch (TAMS student)

  • Anthony Zhou (TAMS student)

  • Tiffany Ryu (TAMS student)



  • Zhi (George) Qiao  (Ph.D., 2020)  Current employment: HPC Software Engineer, KLA

  • Zongze Li  (Ph.D., 2019)  Current employment: Hardware Design Engineer, Facebook

  • Song Huang  (Ph.D., 2019)  Current employment: Big Data Developer, Allstate Corporation

  • Ziming Zhang  (Ph.D., 2015)  Current employment: Software Developer, OGRE Systems, Inc.

  • Bayaner Arigong (Ph.D., 2015. co-advised with Dr. Hualiang Zhang)  Current employment: Assistant Professor at Washington State University Vancouver, Washington

  • Jin Shao (Ph.D., 2015. co-advised with Dr. Hualiang Zhang)  Current employment: Qorvo, Inc., Adjunct Faculty at the University of North Texas

  • Qiang Guan  (Ph.D., 2014)  Current employment: Assistant Professor at Kent State University, Ohio

  • Husanbir Singh Pannu  (Ph.D., 2012, with Dr. Jianguo Liu)  Current employment: Assistant Professor at Thapar Institute of Engineering & Technology, India

  • Haidi Chen  (M.S., 2020. with thesis) First employment: Amazon

  • Nandini Damera  (M.S., 2019)

  • Matthew Davidson  (M.S., 2018)

  • Milko Balakchiev  (M.S., 2015. with thesis)  First employment: Mede Analytics, Inc.

  • Ramureddy Venumuddala  (M.S., 2015. with thesis)  First employment: Namitus Technologies, Inc.

  • Kranthi Kumar Tatoju  (M.S., 2018)

  • Nanda Rampura Vijaykumar  (M.S., 2017)

  • Gayathri Narayanasamy  (M.S., 2015)

  • Savitha Chintakindi  (M.S., 2013)

  • Devender Singh  (M.S., 2012)

  • Neeraja Ganesh  (M.S., 2012)

  • Kayleigh Bush  (B.S., 2013)

  • Yash Ramamurthy  (B.S., 2013)

  • Chi-Chen Chiu  (B.S., 2012)

  • Oluwaseun Adeyemi  (B.S., 2011)

  • Yosef Borga  (Undergraduate research student, SUPER program, 2011)

  • Linfei Li (TAMS student, 2015-2017, now studies at the University of Chicago)

  • Jason He (TAMS high school student, 2012-2014, received two awards in the 2013 DFW Science and Engineering Fair)

  • Michael Wang  (TAMS high school student, 2012)

  • Xiajun Wang (Visiting scholar, 2013-2014)

Professional Services

Dr. Fu serves as an Editor and Guest Editor for three international journal. He has participated in the program committees of several international conferences and workshops in his field.


  • Panelist for U.S. National Science Foundation; Proposal Reviewer for Portuguese Foundation for Science and Technology, Canada Foundation for Innovation, Research Grants Council of Hong Kong, Kentucky Science and Engineering Foundation, South Carolina Institutions of Higher Education.
  • Steering Committee, IEEE International Performance Computing and Communications Conference
  • Program Vice Chair, IEEE Cloud Summit Conference, 2020.
  • Student Programs Chair, IEEE International Conference on Cluster Computing, 2021.
  • General Chair, the 35th IEEE International Performance Computing and Communications Conference, 2016.
  • Workshop Chair, the 26th IEEE International Conference on Computer Communications and Networks, 2017.
  • Travel Grant Chair, the 24th IEEE International Conference on Computer Communications and Networks, 2015.
  • General Vice-Chair, the 32nd IEEE International Performance Computing and Communications Conference, 2013.
  • Program Chair, the 31st IEEE International Performance Computing and Communications Conference, 2012.
  • Publication Chair, the 30th IEEE International Performance Computing and Communications Conference, 2011.
  • Track Chair, the 20th IEEE International Conference on Computer Communications and Networks, 2011.
  • Registration Chair, IEEE International Symposium on Electronic System Design, 2011.
  • Poster Chair, the 29th IEEE International Performance Computing and Communications Conference, 2010.
  • Paper Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Computers (TOC), IEEE Transactions on Emerging Topics in Computing (TETC), IEEE Transactions on Services Computing (TSC), ACM Transactions on Autonomous and Adaptive Systems (TAAS), Journal of Parallel and Distributed Computing (JPDC), Journal of Systems and Software (JSS), Journal of Future Generation Computer Systems (FGCS), Journal of Supercomputing (JSC).
  • IEEE senior member
  • Member of ACM, ASEE and Sigma Xi.


Postal Mail


Department of Computer Science & Engineering

University of North Texas

1155 Union Circle #311366

Denton, Texas 76203

Phone: (940) 565-2341 (Office)

Email: Song.Fu@unt.edu 

Fax:  (940) 565-2799