Current Ph.D. Students
  • Raef Abdallah (part-time Ph.D. student, 2019-)
  • Ren Zhong (Ph.D. student, 2019-)
  • Yongtao Yao (Ph.D. student, 2020-)
  • Yuankai (William) He (Ph.D. student, 2021-)
  • Zhaofeng Tian (Ph.D. student, 2021-)
  • Arpan Bhattacharjee (Ph.D. student, 2022-)
  • Qiren Wang (Ph.D. student, 2022-)
  • Lichen Xia (Ph.D. student, 2023-)
  • Boyang Tian (Ph.D. student, 2023-)
  • Mustafa Alsolami (Ph.D. student, 2023-)
  • Yuxin Wang (Ph.D. student, 2024-)
  • Mingyu Guo (Ph.D. student, 2024-)
Graduated Ph.D.'s
 
28. Prabhjot Kaur (Ph.D., April 2024, GM)
        Dissertation: Autonomous Robot for Indoor Enhanced Living (ARIEL)

 
27. Jinghui Liao (Ph.D., March 2024, Startup)
        Dissertation: Towards Reliable and Efficient Blockchain Applications

 
26. Sidi Lu (Ph.D., July 2023, William & Mary)
        Dissertation: Toward Efficient, Scalable, and Reliable Edge-enabled Applications for Connected Vehicles

 
25. Liangkai Liu, (Ph.D., May 2023, University of Delaware)
        Dissertation: Predictable DNN Inference for Autonomous Driving

 
24. Shihong Hu, (Ph.D., November 2021, Hohai University)
        Dissertation: QoS Optimization Techniques of Dynamic Resource Scheduling in Edge Computing
        Co-advised with Guanghui Li

 
23. Lanyu Xu, (Ph.D., July 2021, Oakland University)
        Dissertation: Systems Support for Executing Intelligent Se5rvices and Deep Learning Algorithms on the Edges

 
22. Qingyang Zhang, (Ph.D., May 2021, Anhui University)
        Dissertation: Research on Collaborative Computing Architecture and Security Support Method for Internet of Things Data based on Virtual Edge Node
        Co-advised with Hong Zhong

 
21. Quyuan Luo, (Ph.D., December 2020, Southwest Jiaotong University)
        Dissertation: Research on Resource Scheduling Strategy in Vehicular Edge Computing
        Co-advised with Changle Li

 
20. Xingzhou Zhang, (Ph.D., May 2020, CAS/Institute of Computing Technology)
        Dissertation: Research on Data Processing Framework for Edge Intelligence
        Co-advised with Zhiwei Xu

 
19. Yifan Wang, (Ph.D., May 2020, CAS/Institute of Computing Technology)
        Dissertation: Performance Quantitative Analysis and Optimization for Edge Computing Systems
        Co-advised with Zhiwei Xu

 
18. Mohit Kumar, (Ph.D., October 2019, Oak Ridge National Laboratory)
        Dissertation:Improving Energy Consumption of Java Programming Language

 
17. Bing Luo, (Ph.D., October 2019, Henry Ford Health Systems)
        Dissertation: Toward Energy Efficient Systems Design for Data Centers

 
16. Jie Cao, (Ph.D., August 2018, Assistant Professor at Eastern Michigan University)
        Dissertation: SOFIE: A Smart Operating System for Internet of Everything

  15. Quan Zhang (Ph.D., January 2018, Salesforce.com)
        Dissertation: System Support for Stream Processing in Collaborative Cloud-Edge Environment

  14. Lingmei Ren (Ph.D., May 2016, Assistant Professor at Shangdong University of Science and Technology)
        Dissertation: Techniques for Human Body Fall Detection

  13. Youhuizi Li (Ph.D., January 2016, Assistant Professor at Hangzhou Dianzi University)
        Dissertation: System Support for Energy-Efficient Mobile Computing

  12. Hui Chen (Ph.D., November 2015, Amazon)
        Dissertation: User-Centric Power Management for Mobile Operating Systems

  11. Lingjun Fan (Ph.D., May 2014, Assistant Professor at Chinese Academy of Sciences)
        Dissertation: High-efficient On-chip Memory Architectures and Application Optimization
        Co-advised with Guojie Li

  10. Grace Metri (Ph.D., April 2014, Intel)
        Dissertation: Energy Efficiency Analysis and Optimization for Mobile Platforms
        Co-advised with Monica Brockmeyer

    9.
Shinan Wang (Ph.D., February 2014, Simens)
        Dissertation: Software Power Analysis and Optimization for Power-Aware Multicore Systems

    8. Yong Xi (Ph.D., November 2012, Software Development Engineer at Amazon)
        Dissertation: Location Privacy in Emerging Network-based Applications
        Co-advised with Loren Schwiebert

    7. Tung Nguyen (Ph.D., August 2012, Researcher Scientist at Intelligent Automation Inc.)
       Dissertation: System Support for Genomics Computing in Cloud Environments

    6. Guoxing Zhan(Ph.D., April 2012, Google)
        Dissertation: System Support for Robust Data Collection in Wireless Sensing Systems

    5. Zhengqiang Liang (Ph.D., January 2010, Microsoft)
        Dissertation:  HOURS: Harmonic and Universal Resoruce Sharing in Distributed Environemnts

    4. Zhifeng Yu (Ph.D., December 2008, Senior Enterprise Architect at Volkswagen Group of America)
        Dissertation: Toward Practical Multi-Workflow Scheduling in Cluster and Grid Environments

    3. Safwan Al-Omari (Ph.D., December 2008, Senior Software Engineer at Nokia)
        Dissertation: Petra: Toward Dependable and Autonomic Networked Sensor Systems

    2. Kewei Sha (Ph.D., November 2008,  Assistant Professor at Univeristy of Huston Clear Lake)
        Dissertation: Orchis: Consistency-Driven Data Quality Management in Sensing Systems

    1. Hanping Lufei ( Ph.D., July 2007, Member of Technical Stuff at Paypal)
        Dissertation: Fractal: An Application Level Protocol Adaptation Framework for Heterogeneous Environments

Graduated Masters

   15. Xiaoda Cong (M.S., July 2022, Beaumount Hospital)
         Thesis:  An Edge Based Seizure Prediction System

   14. Sheng Tan (M.S.,  August 2018, Walmart Labs)
       Thesis: Pedestrian and Speed Detection in Autonomous Driving

   13. Javad Roostaei (M.S., June 2018, Quantifly)
         Thesis:  IoT-Based Edge and Cloud Computing for Smart Environmental Engineering Applications

   12. Jingwen Zhang (M.S., March 2015, EMC)
         Thesis:  PLUS: A Personlized Literature Recommender System

   11. Guisi Ni (M.S., August 2014, Google)
         Thesis: Appurtenant: Enhancing Completeness and Efficiency of Bidirectional Patient-Physician Communication Using Automatic Speech Recognition

    10. Mingyang Xu (M.S., July 2014, Ph.D. study at NCSU)
        Thesis: A New Approach for Palm-Dorsa Vein Identification

    9. Ruining Sun, (M.S., May 2014, AT&T)
        Thesis: SemiHybrid: A Natural Language Assisted Approach to Developing Mobile Applications

    8. Harish Balasubramanian, (M.S., February 2014, ELEKTROBIT Automative)
        Thesis: Performance Analysis of Scalable SQL and NOSQL Databases: A Quantitative Approach

    7. Dajun Lu, (M.S., January 2014, Amazon)
        Thesis: PULSE: A Framework for Power- and Energy-Efficient Analysis for Data Centers

    6. Soumyasudharsan Srinivasaraghavan, (M.S., Feburary 2012, Valeo Inc. )
        Thesis: PASCALYPTUS: an Power-Aware SCheduler for the EucALYPTUS Framework

    5. Chenjia Wang (M.S., July 2009, Revstone Industry )
        Thesis: Panther: A Middleware-based Post-Disaster Communication System

    4. Brandon Szeliga (M.S., July 2008, Lockhead Martin)
        Thesis: DiSK: A Distributed Disk Cache for Data-Intensive HPC

    3. Jayashree Ravi (M.S., December 2005, Xede)
        Thesis: Accelerating Personalized Web Content Delivery Using Edge Services

    2. Yonggen Mao (M.S., August 2004, EDS)
        Thesis:
Performance Evaluation of Peer-to-Peer Web Caching Systems

    1. Sharun Santhosh (M.S., August 2004, Intel)
        Thesis: Factoring File Access Patterns and User Behavior into Caching Design for Distributed File Systems

Undergraduates (research)

    10. Joshua Martinez (University of Delaware, 2024)
    9. Jared Bryant (Delaware State University, 2024)
    9. Daniel Ma (Northeastern University, 2024)
    8. Khaled-Alameer Abdelnasser (University of Delaware, 2024)
    7. Cornelia Meiss (University of Delaware, 2023)
    6. Jaejin Cha (Texas A&M UNiversity, 2023)
    5. Raymond Lemon (Wayne State University, 2012-2014)
    4. Delyan Raychev (Facebook, 2010-2011)
    3. Jacquline Brown (IBM, 2008-2009)
    2. Tony Cutway (Sylvania Schools, 2008-2009)
    1. Daniel Brodie (2003-2004)