Md Abul Hayat

Md Abul Hayat abulhayatshiblu [at] gmail [dot] com [GitHub] [Google Scholar] [LinkedIn]

Experience

• JPMorgan Chase & Co., Brooklyn, NY
  Quantitative Modeling Sr. Associate (MRGR) (July 2023 - Present)
  

• Amazon.com, Inc, Seattle, WA
  Applied Scientist Intern (AWS) (May 2021 - August 2021)
  

• Lawrence Berkeley National Laboratory, Berkeley, CA
  Affiliate (August 2020 - September 2021)
  Summer Intern (NERSC) (May 2020 - August 2020)
  Mentor: Mustafa Mustafa

• Nokia Bell Labs, Murray Hill, NJ
  Summer Intern (Math & Algorithms) (June 2019 - August 2019)
  

• University of Arkansas, Fayetteville, AR
  Graduate Assistant, Electrical Engineering (August 2017 - July 2023)

• Grameenphone, Dhaka, Bangladesh
  System Engineer (O&M), Technology Division (October 2015 - August 2017)

Education

• University of Arkansas, Fayetteville, AR
  PhD, Electrical Engineering (August 2017 - July 2023)
  Supervisor: Jingxian Wu

• University of Arkansas, Fayetteville, AR
  MS, Statistics (August 2017 - May 2021)
  Advisor: Giovanni Petris

• Bangladesh University of Engineering & Technology, Dhaka, Bangladesh
  BSc, Electrical & Electronic Engineering (May 2010 - September 2015)
  Thesis Supervisor: Md Farhad Hossain

Research Projects

• Current Research

  • Predicting Cardiac Age from ECG and Arterial Blood Pressure (ABP) Signals

    • Work in Progress

• PhD Research

  • PhD Dissertation

    • [dissertation] [slides1] [slides2]

  • IPFM-based Modeling of Peripheral Blood Pressure Signals

    • [paper] [github]

  • Self-supervised Learning for Astronomical Images

    • [paper] [arxiv] [github] [website] [youtube] [ppt] [media]

    • [paper] [arxiv] [poster]

  • Unsupervised Bayesian Learning for Rice Panicle Segmentation from Drone Images

    • [paper] [github] [poster]

  • Anomaly Detection in PVP Signals with Hidden Markov Model

    • [paper] [github]

  • Predicting Dehydration from Human PVP Signals

    • [paper] [paper] [full list]

• Undergrad Research

  • Downlink OFDMA Network Analysis with Stochastic Geometry Models

    • [paper] [thesis]

  • Adaptive Beamforming with Microphone Array

    • [paper] [github]

    • [problem] [media] [media] [certificate]

Research Interest

Data Science, Deep Learning, Bayesian Statistics, Mathematical Finance, Digital Signal Processing

Teaching

Circuits I: [Su23] [Sp23]
Systems and Signals: [Fa22] [Fa21] [Fa20] [Fa19]
Electronics I: [Sp20]

Misc.

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