Team@EEHPC
PhD Students
PhD Student
  • - Machine Learning
  • - Energy Efficient Design
  • PHD Student
  • -Machine Learning, Reinforcement Learning
  • PhD Student
  • - Machine Learning
  • - Deep Learning, Recurrent Neural Networks
  • - ASIC and FPGA design
  • PhD Student
  • - Machine Learning and Signal Processing
  • - FPGA design
  • PhD Student
  • - FPGA and ASIC Design
  • - Machine Learning and Deep Learning
  • Masters Students
    MS Student
  • -
  • MS Student
  • -Deep Learning, Reinforcement Learning
  • MS Student
  • -
  • Undergraduate Students
    BS Student
  • -Reinforcement learning
  • BS Student
  • -
  • BS Student
  • -
  • Alumni
     

    Postdoctoral

     

    Postdoctoral Research Associate. CE, Dec. 2017
    Associate Professor at Harrisburg University of Science and Technology

  • - Machine Learning, Computational Neuroscience, EEG data analysis for brain functions and activities
  •  

    Ph.D.

     

    Ph.D. CE, May 2022
    Senior Engineer at Qualcomm
    Qualcomm

  • - Machine Learning
  • - Markov Chain Monte Carlo
  •  

    Ph.D. CE, May 2022
    Senior Engineer at NASA

  •  
     

    Ph.D. CE, Nov. 2021
    Technical Research Fellow at Boeing
    Boeing

  • - High performance computing algorithms and hardware
  • - Parallel Computing for GPU
  •  

    Ph.D. CE, Dec. 2017
    Research Scientist
    Intel

  • - Compressive sensing
  • - Digital /Analog ASIC design for low power biomedical applications
  •  
     

    Ph.D. CE, Feb. 2017
    Senior Embedded Systems Engineer
    Nvidia

  • - Computer Vision
  • - Compressive Sensing
  • - Hardware Security
  • - Low Power FPGA and ASIC Design
  •  

    Ph.D. CE, Dec. 2016
    Principal Engineer, Machine Learning AI
    Ambiq

  • - Deep learning
  • - Embedded Big Data Optimization
  •  
     
     

    MS

     

    MS. CE, August 2021
    Deep Learning Amazon

  • - Deep Learning, Reinforcement Learning, Computer Vision
  •  

    MS. CE, May 2022

  •  
     

    MS. CE, August 2021
    R&D Engineer Nvidia

  • - Machine Learning and Data Science, FPGA and ASIC design
  •  

    MS. CE, December 2020
    FPGA Design Engineer Broadcast Sports International

  • - Deep Learning, Reinforcement Learning, ASIC and FPGA Design
  •  
     
     

    MS. CE, December 2019

  • - Hardware Accelarator Design for Sparse Matrix Vector Multiplication
  •  

    MS. CE, June 2020
    Marvell Technology Group

  • - CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator
  •  
     
     
     

    MS. CS, August 2019
    TransUnion

  • -Efficient Artifact Identification on Multi-Channel EEG Signal
  •  

    MS. CE, December 2017
    Northrop Grumman

  • -Tongue drive system, FPGA implementation
  •  
     
     
     
     

    MS. CE, August 2017
    Intel

  • - Many-Core Architecture, ASIC Design and Verification
  •  

    MS. CE, May 2018
    Application Support Engineer
    Equifax

  • -Stress detection, Manycrore, Machine Learning
  •  
     
     

    MS. CE, May 2018
    Vector Works

  • - Parallel and Distributed Processing, Machine Learning, Markov Chain Monte Carlo
  •  

    MS. CE, May 2018
    Software Development Engineer
    Amazon

  • -Deep Neural Networks
  •  
     
     

    MS. CE, August 2017
    Embedded Software Engineer
    KPIT Infosystems

  • - Manycore, Parallel computing for GPU
  •  

    MS. CE, July 2017

  • - High performance computing algorithms, Parallel computing for GPU
  •  
     
     

    MS. CE, July 2017
    Embedded hardware engineer
    Senseonics

  • - Low power manycore design
  • - Compressive Sensing
  •  

    MS. CE, May 2017

  • - Low power algorithms and hardware
  • - Domain specific manycore
  •  
     
     

    MS. CE, Dec. 2015
    Hardware Engineer

  • - Low power hardware for biomedical applications
  • - Domain specific processor design
  •  

    MS. CE, Dec. 2015
    Hardware Engineer

  • - Low power hardware for biomedical applications
  • - Domain specific processor design
  •  
     
     

    MS. CE, Aug. 2014
    Software Engineer
    IfOnly

  • - FPGA and ASICs for wearable biomedical devices
  • - Efficient machine learning
  •  

    MS. CE, May 2012
    Hardware Engineer

  • - On-chip interconnects for manycore chips
  • - VLSI and FPGA hardware design
  •  
     
     

    BS

     

    BS. CE, May 2019

  •  
     

    BS. CE, May 2017

  •  

    BS. CE, May 2016

  • -Manycore Compiler
  •  
     
     

    BS. CE, May 2016
    Microsoft research

  • - ECG arrythmia detection
  •  

    BS. CE, May 2015
    Northrop Grumman

  • - Low power algorithms for manycore
  •  
     
     

    BS. CE, May 2014

     

    BS. CE, May 2014

     
     
     

    BS. CE, May 2013

  • - FPGA
  •  

    BS. CE, May 2013

  • - Application Mapping
  • - Ultrasound Spectral Doppler
  •