Profile of Md. Hassanul Karim Roni

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Md. Hassanul Karim Roni

Lecturer

Department of Electrical and Electronic Engineering (EEE)

Faculty of Computer Science and Engineering

Hajee Mohammad Danesh Science & Technology University, Dinajpur.

E-mail: hassanulkarim.roni@gmail.com

Mobile: +8801767052709


CAREER OBJECTIVE

    It has always been my passion to learn new things, explore new ideas, and emphasize self-development. I wish to succeed as an academician by producing significant research and projects.

RESEARCH INTEREST

    Control System, Electronics, Power Electronics, Power System, Machine Learning

EDUCATION

  1. MSc in EEE, 2021

    Rajshahi University of Engineering and Technology

  2. BSc in EEE, 2017

    Rajshahi University of Engineering and Technology

  3. H.Sc. in Science, 2012

    Science College, Saidpur (formerly known as Saidpur Govt. Technical School and College)

  4. S.Sc in Science, 2010

    Cantonment Public School and College, Saidpur


PROFESSIONAL EXPERIENCES

  1. Lecturer
    Hajee Mohammad Danesh Science & Technology University, Dinajpur, Bangladesh

    November 16, 2022 to Present

  2. Assistant Professor
    Bangladesh Army University of Science and Technology

    January 16, 2022 to November 15, 2022

  3. Lecturer
    Bangladesh Army University of Science and Technology

    June 24, 2018 to January 15, 2022


PUBLICATIONS

Journal Papers

  1. Optimizing the initial weights of a PID neural network controller for voltage stabilization of microgrids using a PEO-GA algorithm

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  2. [IEEE Journal] Improved design of high-performance controller for voltage control of islanded microgrid

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  3. [Springer Journal] Recent Trends in Bio-inspired Meta-heuristic Optimization Techniques in Control Applications for Electrical Systems: A Review

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Conference Papers

  1. Genetic Algorithm Based Data-Driven ILQR Control Scheme for Three-Phase Microgrid System

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  2. Data-Driven Linear Quadratic Control Scheme for Three-Phase Microgrid System Optimized by Genetic Algorithm

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  3. Optimized PID control scheme for three phase micro-grid system

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  4. An artificial neural network based predictive approach for analyzing environmental impact on combined cycle power plant generation

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Books

  1. [Taylor & Francis Book Chapter] Bio-Inspired Meta-Heuristic Techniques for DC-DC Boost Converter with LQR Controller in a DC Microgrid

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Awards and SCHOLARSHIPS

  1. HSc Board Scholarship

    Funded by: Education Board

  2. SSc Board Scholarship

    Funded by: Education Board

  3. Junior School Scholarship in Talentool

    Funded by: Education Board

  4. Primary Scholarship in Talentool

    Funded by: Education Board


PROJECTS

  1. MyHSTU: Streamlining academic activities and services of HSTU through Web-based automation

    Funded by: Institute of Research and Training, HSTU, Dinajpur

    Position: Co-Principle Investigator

    Description: This project, funded by IRT, HSTU, is a 3 years long collaborative project aiming to bring automation in the HSTU campus activity. It has started from 2023-24 fiscal year and will continue for total of 3 years.


SOCIAL NETWORK

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