Experience

Rice University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Student Research Assistant

  • Jan 2016 - Present

  Design, model, analyze, simulate, and verify an efficient compressive time series data gathering algorithm that offers high compression ratios and speed on resource-constrained devices and able to reduce global scale communication cost and balance energy consumption load on large scale industrial plants. Term Projects Accomplished: • Gas detection and localization wireless sensor network as a part of Graduate Student Research Qualifier • Data-driven approximation of a flexible aircraft dynamical model as a part of Data Science and Dynamical Systems course • Integration of linear system solver with ARM Core, and CORDIC QRD and matrix-multiplication accelerator as part of VLSI Circuit Design course • Energy performance of residential buildings using machine learning tools as a part of the Fundamentals of Machine Learning course • Congestion control protocols in Wireless Sensor Networks: a review paper as a part of Introduction to Communication Network course Show less



ADNOC Group

• United Arab Emirates
• Oil and Gas
• 700 & Above Employee

• Control Engineer

  • Apr 2013 - Present

  • Participating in feasibility studies for optimization of control systems, plants, and equipment • Preparing conceptual and basic control engineering designs and specifications for projects • Reviewing tenders for control engineering designs and specifications. • Providing technical support to Field and Terminal Operations in identifying and rectifying problems related to control systems and equipment • Carrying out support duties such as participating in the preparation of cost estimates for future capital projects, participating in HAZOP studies for proposed plant modifications and preparing regular activity/progress reports for assigned projects Show less



Khalifa University

• United Arab Emirates
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Sep 2010 - Dec 2012

  - Design, model, analyze, simulate, and verify an efficient heart rate estimation algorithm implementing an ultra-low-power digital signal processing for heart rate monitoring applications using an oximetry-based sensing technique. - Design, model, analyze, simulate, and verify an efficient heart rate estimation algorithm implementing an ultra-low-power digital signal processing for heart rate monitoring applications using an oximetry-based sensing technique.