Dr. Song Fu

     Professor, Associate Chair for Research

     Director, NSF eCAT Center for Electric, Connected and Autonomous Technologies, UNT Site

     Director, Vehicle and Edge Computing (VEC) Laboratory
     Department of Computer Science and Engineering
     University of North Texas
     Denton, Texas 76203 (about 30 miles north of Dallas)
      


Dr. Song Fu is a Professor of Computer Science and Engineering with the University of North Texas. He directs the Vehicle and Edge Computing Lab (VEC). He is the Director of the NSF eCAT Center for Electric, Connected and Autonomous Technologies for Mobility, UNT Site. His research interest is primarily in vehicle computing, IoT-edge-cloud systems, parallel and distributed computing, including architecture, performance, dependability, cybersecurity, and machine learning. His research has been supported in part by funding from the National Science Foundation, Department of Defense, Department of Energy, Amazon, Cisco, Fujitsu, Google, Nvidia, PACCAR, Toyota, and Xilinx.

Dr. Fu currently serves as the Associate Chair for Research. He was the Faculty Leadership Fellow (2021-2022) and the Academic Affairs Fellow (2023-2024), both of which are leadership programs organized by the UNT Office of the Provost.

 


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

 


 News

  • Our paper on simultaneous individual and cooperative perception for connected and automated vehicles was accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024).
  • Zhaochen successfully defended her PhD dissertation, titled "Machine Learning-Enhanced Process Parameter Optimization and Microstructure Prediction in Additive Manufacturing". Congratulations, Dr. Gu!
  • UNT will host the NSF eCAT Center IAB meeting on May 3, 2024 [Detail].
  • IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST) will be held at UNT, May 1-3, 2024 [Program].
  • Sihai successfully defended his PhD dissertation, titled "Characterization and Optimization of Perception Deep Neural Networks on the Edge for Connected Autonomous Vehicles". Congratulations, Dr. Tang!
  • The 27th International Conference on the Application of Accelerators in Research and Industry (CAARI 2024), July 2024. Co-Chair of AI-ML in Nuclear Physics.
  • Dallas-Fort Worth Metroplex University AI Collaboration Symposium, September 2023 [News].
  • Our paper on privacy preserving data sharing for connected autonomous vehicles was accepted by ACM/IEEE Symposium on Edge Computing (SEC 2023).
  • Research Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT) was awarded by NSF with 5-year phase I funding starting March 2023!
  • We are collaborating with PACCAR in a SuperTruck 3 project funded by DOE.
  • Dr. Qiang Guan (a PhD graduate from our lab) earned prestigious NSF CAREER award for his research on noise-aware scheduling for noisy intermediate-scale quantum systems. Congratulations, Dr. Guan!
  • The real-time AI-FPGA system for sPHENIX will be presented at TWEPP 2023 (Electronics for Particle Physics).
  • Our paper on perception workload on the edges with memory contention for CAVs was accepted by 2023 IEEE International Conference on Edge Computing (EDGE 2023).
  • Our paper on smart additive manufacturing was accepted by Journal of Intelligent Manufacturing.
  • New research grants from DOE SuperTruck 3 program and NSF HSI program.
  • 15th IEEE/ACM International Conference on Utility and Cloud Computing, UCC2022 [Call for Papers].
  • Beilei successfully defended her PhD dissertation. Congratulations, Dr. Jiang!
  • Our cybersecurity academy proposal was funded by NSA and NSF, May 2022.
  • The planning workshop of a new NSF IUCRC Center on Electric, Connected and Autonomous Technologies for Mobility was successfully held in Detroit, April 27-28.
  • A paper on consensus in cooperative perception of autonomous vehicles was accepted by the 42nd IEEE International Conference on Distributed Computing Systems (ICDCS 2022).
  • A paper on deep learning optimization and acceleration on FPGA was accepted by the 36th IEEE/ACM International Parallel & Distributed Processing Symposium (IPDPS 2022).


Research Interests

As distributed and IoT systems become pervasive 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 performance, scalability, security, and energy efficiency. His research interest is primarily in cyberinfrastructures, vehicles, distributed, edge and cloud systems, including

 

  • Connected and Autonomous Vehicles
  • Edge and Cloud Computing
  • Cyberinfrastructures, Cybersecurity, Privacy and Security
  • Distributed and IoT Systems
  • Intelligent Systems, Machine Learning, and Deep Learning
  • High Performance Computing
  • Resource Management and Performance Optimization
  • Storage Systems and System Architecture


Selected Recent Publications  [Complete list]

  • SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles, IEEE IROS, 2024.
  • Deep Learning Based Melt Pool and Porosity Detection in Components Fabricated by Laser Powder Bed Fusion, Progress in Additive Manufacturing, 2024.
  • A Demonstrator for a Real-Time AI-FPGA-based Triggering System for sPHENIX at RHIC, Journal of Instrumentation, 2024.
  • Impact of Environmental Factors on Flash Storage Performance in Autonomous Vehicles: An Empirical and Analytical Study, IEEE MOST, 2024.
  • Sniffer Faster R-CNN ++: An Efficient Camera-LiDAR Object Detector with Proposal Refinement on Fused Candidates, ACM Journal on Autonomous Transportation Systems, 2024.
  • User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing, ACM/IEEE SEC, 2023.
  • Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles, IEEE EDGE, 2023.
  • Output-Directed Dynamic Quantization for Deep Neural Network Acceleration, ACM ICPP, 2023.
  • P3: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy, IEEE ICCCN, 2023.
  • A Real-Time AI-FPGA-based Triggering System for sPHENIX at RHIC Primary, TWEPP 2023.
  • A Storage Computing Architecture with Multiple NDP Devices for Accelerating Compaction Performance in LSM-Tree based KV Stores, Journal of Systems Architecture, 2022.
  • A Universal Predictor-Based Machine Learning Model for Optimal Process Maps in Laser Powder Bed Fusion Process, Journal of Intelligent Manufacturing, 2022.
  • Distributed Consensus of Data-Sharing Decisions for Connected Autonomous Vehicles, IEEE ICDCS, 2022.
  • MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications, IEEE/ACM IPDPS, 2022.
  • Slim-FCP: Lightweight Feature-Based Cooperative Perception for Connected Automated Vehicles, IEEE Internet of Things Journal, 2022.
  • Spatial Pyramid Attention for Deep Convolutional Neural Networks, IEEE Transactions on Multimedia, 2021.
  • VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles, IEEE EDGE'21.
  • CoConv: Learning Dynamic Cooperative Convolution for Image Recognition, IEEE ICME'21.
  • Study of Interconnect Errors, Network Congestion, and Applications Characteristics for Throttle Prediction on a Large Scale HPC System, Journal of Parallel and Distributed Computing, 2021.
  • CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles, IEEE Internet of Things Journal, 2021.
  • 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.
  • Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores, ACM/IEEE ICPP'19.
  • Characterizing and Modeling Reliability of Declustered RAID, IEEE/IFIP DSN'19.


Teaching

Dr. Fu teaches graduate and undergraduate course related to computer architecture, 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 4550: Introduction to Computer Security (F17, F18, F19)

  • CSCE 4570: Information Privacy (S20, S21)

  • CSCE 4610: Computer Architecture  (S19)

  • CSCE 4620/5620: Real-Time Operating Systems  (F13, F14, F15, F16, F21, F23, F24)

  • CSCE 5160: Parallel Processing and Algorithms (S23, S24)

  • CSCE 5565: Secure Software Systems (S19, S20)

  • CSCE 5610: Computer Systems Architecture  (F19)

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

  • CSCE 5933: Virtualization Technologies and Security (S11)

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

  • CSCE 6933: Advanced Topics in Security and Privacy  (F18, F22)

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


Students

Current students and research associates in the Vehicle and Edge Computing (VEC) Lab:    

 

  • Tianyu Bai  (Ph.D. candidate)

  • Donger Chen  (Ph.D. student)

  • Harry Fu  (Ph.D. student)

  • Ying He  (Ph.D. candidate)

  • Aishwarya Manjunath  (Ph.D. candidate)

  • Alejandro Olvera  (Ph.D. student)

  • Simon Tandi  (Ph.D. candidate)

  • Hang Tran (Ph.D. student)

  • Sushanth Seela (Master's student)

  • Cathy Du (TAMS student)

  • Jason Hirsch (TAMS student)

 

Alumni

  • Zhaochen Gu  (Ph.D., 2024)  Current employment: Clinical Assistant Professor at the University of Illinois, Chicago

  • Sihai Tang  (Ph.D., 2024)  Current employment: Assistant Professor at Schreiner University

  • Beilei Jiang  (Ph.D., 2022)  Current employment: Clinical Assistant Professor at the University of North Texas

  • Shuwen Liang  (Ph.D., 2021)  Current employment: Amazon

  • Jacob Hochstetler  (Ph.D., 2021)  Current employment: Clinical Assistant Professor at the University of North Texas; Fidelity Investments

  • Zhi (George) Qiao  (Ph.D., 2020)  Current employment: Microsoft

  • Xu Ma  (Ph.D. candidate, 2020), Northeastern University

  • Zongze Li  (Ph.D., 2019)  Current employment: TetraMem

  • 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: Florida A&M University-Florida State University

  • Jin Shao (Ph.D., 2015. co-advised with Dr. Hualiang Zhang)  Current employment: Principal MMIC Design Engineer, iCana

  • Qiang Guan  (Ph.D., 2014)  Current employment: Associate 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

  • Fanjie Ye  (M.S., 2021. with thesis)

  • 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)

  • Anthony Zhou (TAMS student)

  • Tiffany Ryu (TAMS student)

  • 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 Co-Chair, IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), 2024.
  • Program Co-Chair, IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2023.
  • Program Co-Chair, the 42nd IEEE International Performance Computing and Communications Conference, 2023.
  • Program Co-Chair, IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2022.
  • Program Chair, IEEE International Conference on Connected and Autonomous Driving, 2022.
  • Program Vice Chair, IEEE Cloud Summit Conference, 2021.
  • Student Programs Chair, IEEE International Conference on Cluster Computing, 2021.
  • Program Vice Chair, IEEE Cloud Summit Conference, 2020.
  • 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.
  • Program Committee, IPDPS, ICCD, ICDCS, IGSC, ISM, CLOUD, CLOUDNET, BodyNet, CLOUD COMPUTING, NAS, ICNC, INTERNET, COMPSAC, I-SPAN, FutureTech, ICPADS, AINA, CloudCom, IC3, Compute, FCST, EUC.
  • 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).
  • ACM senior member
  • IEEE senior member
  • Member of ASEE and Sigma Xi.


Correspondence

Postal Mail

NTRP F250

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