Hossein Akhavan Hejazi, PH.D.
    Market Optimization Engineer,
    Data Science and Optimization Team,
    Power Digital Core, Royal Dutch Shell.
    Assistant Adjunct Professor,
    Department of Electrical & Computer Engineering,
    University of California, Riverside.
    Office: 650 California St., San Francisco, CA
    Contact:
        hDOTakhavanhejaziATshellDOTcom
        seyedDOTakhavanhejaziATucrDOTedu
 

Welcome to My Page


A Bit About Me




I am currently a developer with the data science, optimization, and orchestration (DSOO) team at Power Digital Core, Shell Energy. Here I fulfill my passion for maths, coding, and energy markets! I also serve as Assistant Adjunct Professor of ECE Department, at Bourns College of Engineering, UC Riverside.
My research and development background is mainly on developing mathematical models, analytic tools, and performing system analysis in energy domain. It generally involves programming, developing optimization techniques, statistical analysis, stochastic optimization, time-series analysis, and so on. I deal with problems related to operation and integration of energy resources, including renewable generation, demand response, and in particular battery energy storage systems (BESS). I am interested in various practical aspects of this problem in developing effective algorithms and designs for operation and planning of BESS. I have a passion to study all aspects of batteries, from the cell dynamics, to BMS, controls & scheduling, and to financial and project economics!



Research and Development Interests



  • Smart and sustainable grid:
        Energy storage, demand response, distributed energy resources.


  • Power system analysis:
        Operation, planning, electricity market operations, risk analysis.


  • Optimization:
        Stochastic programming, convex relaxations, decomposition.


  • Energy data analysis:
        Statistical analysis, time-series analysis, state estimation.



    Note to Prospective Students



    Currently I am accepting talented, motivated graduate students who are interested in optimization, analytics, and machine learning in the enrgy domain, to supervise them with their research towards their master thesis. I will also lead them with the best practices and desciplines in the energy industry, so that hopefully help them stand out in their pursuite of careers. The candidates must be already in the MSc. program of UCR ECE department. To apply send CV with a short description of your status at UCR to my contact emails. Supervision will be remote and mostly via virtual meetings.

    News


    June 2021: I am delighted to receive the offer to continue serving as Assistant Adjunct Professor of Electrical and Computer Engineering, at UC Riverside.
    Apr. 2021: We completed the development and deployment of Optimized Energy as a Service.
    Dec. 2020: Marking one year at Shell Energy. Retrospective and highlights are here.
    Dec. 2019: I joined the DSO team of the Power Digital Core, Shell Energy (Royal Dutch Shell).
    Apr. 2019: I am serving as the chair of the UCR's 2nd Annual Energy Storage Technologes and Aplications Conference hosted by WCGEC.
    Apr. 2018: I am serving as the chair of the UCR's Inaugural Energy Storage Technologes and Aplications Conference hosted by WCGEC.