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Curriculum Vitæ of
Sayem Khan
152 William St, Apt-2
New Bedford, MA 02740
Mobile: (+1) 585 470 3416
Email: skhan2@umassd.edu
LinkedIn:linkedin.com/in/sayem-eee-kuet
GitHub: github.com/sayem-eee-kuet

WORK EXPERIENCE

  • Worked as Graduate Teaching Fellow, Dept. of Mathematics (Fall 2020)
    University of Massachusetts Dartmouth, North Dartmouth, MA 02747

    • Pedagogy:

      • *

        Fall 2020

        • MTH 150: Precalculus

  • Worked as Research Assistant, Dept. of Mathematics (Summer 2020)
    University of Massachusetts Dartmouth, North Dartmouth, MA 02747

    • Project Summary:

      • *

        Solving PDE using Deep Learning: The goal of the project is to approximate the situation after shock condition of the scalar conservation law suing the Physics Informed Deep Learning.

  • Worked as Graduate Teaching Fellow, Dept. of Mathematics (Fall 2019, Spring 2020)
    University of Massachusetts Dartmouth, North Dartmouth, MA 02747

    • Pedagogy:

      • *

        Spring 2020 & Fall 2019

        • MTH 150: Precalculus

  • Worked as Adjunct Faculty, Dept. of Mechanical Engineering (Summer 2018 - Spring 2019)
    Sonargaon University, Dhaka, Bangladesh.

    • Pedagogy :

      • *

        Summer 2018

        • EEE 259: Electrical and Electronics Technology

        • EEE 260: Electrical and Electronics Technology Sessional

        • Phy 105: Structure of Matter, Electricity, Magnetism & Modern Physics

        • Phy 159: Waves and Oscillation, Geometrical Optics & Wave Mechanics

      • *

        Fall 2018 & Spring 2019

        • EEE 259: Electrical and Electronics Technology

        • EEE 260: Electrical and Electronics Technology Sessional

  • Worked as Assistant Engineer, Transformer Division (November 2016 - April 2018)
    Energypac Engineering Ltd, Dhaka, Bangladesh

RESEARCH INTEREST

  • Deep Learning   Reinforcement Learning   Scientific Machine Learning (SciML)   Quantum Computing   High Performance Scientific Computing

ACADEMIC DETAILS

  • Ph.D. in Computational Science & Engineering (September 2019-Continuing)
    CGPA: 4.00 out of 4.00 (till 2nd semester)
    University of Massachusetts Dartmouth, North Dartmouth, MA

  • MS in Mathematics (January 2017- March 2018)
    CGPA: 3.78 out of 4.00
    Jahangirnagar University (JU), Dhaka, Bangladesh.

  • B.Sc in Electrical and Electronic Engineering (February 2012-October 2016)
    CGPA: 2.89 out of 4.00 (61.8% Marks)
    Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh.

RESEARCH WORK & PROJECT

  • Graduate Project

    • Title:
      Reaction-Diffusion Systems and Pattern Formation (Gray-Scott Model)

    • Supervisor:
      Dr. Mohammad Osman Gani
      , Associate Professor, Department of Mathematics, JU.

    • Description:
      The main objectives of this thesis work were:

      • *

        To study Numerical solution of PDE

      • *

        Solve of Gray-Scott Model in different parametric conditions

      • *

        Generate shapes like defected Lymphoblastic Leukemia Cell

    • Title:
      An Elementary Study of Quantum Computation.

    • Supervisor:
      Dr. Mohammad Osman Gani
      , Associate Professor, Department of Mathematics, JU.

    • Description:
      The main objectives of this thesis work were:

      • *

        To study on Qbits, Superposition & Entanglement

  • Undergraduate Thesis

    • Title:
      Uniform EBGS Assisted Micro-strip Transmission Line as Microwave Filter

    • Supervisor:
      Dr. Md. Nurunnabi Mollah
      , Professor, Department of Electrical & Electronic Engineering, KUET.

    • Description:
      The main objectives of this thesis work were:

      • *

        To analyze Electromagnetic Band Gap Structure (EBGS).

      • *

        To design Microwave Filter using EBGS.

  • Major Projects

    • Data-driven Solutions of Nonlinear Partial Differential Equations Using Physics Informed Neural Network (PINN) (Project on CIS 550: Advanced Machine Learning)
      (Guide: Dr. Ming Shao, Spring 2020)

      • *

        Solving Burgers’ equation using Physics Informed Neural Network (PINN).

    • Solving 1-D Wave Equation Using C++ and Open MPI (Project on EAS 520: High Performance Scientific Computing)
      (Guide: Dr. Scott Field, Fall 2019)

      • *

        Write high performance C++ code for 1-D wave equation.

    • PC Based Temperature Logger (Miniature of SCADA system) (Project on EE3200: Electrical & Electronic Project Design)
      (Guide: Prof. Dr. M. A. Samad, November 2014 - March 2015)

      • *

        Objective: Develop low cost data logging system for industries.

    • Design of 200kVA, 66kV/440V, 50Hz, 3–phase core type oil transformer) (Project on EE3220: Electrical Machines Design)
      (Guide: Md. Osman Goni Nayeem, Lecturer, Dept. of EEE, November 2014 - March 2015)

      • *

        Objective: Design a power transformer using Excel.

    • Line Follower & Object Grabber Robot (Developed for a national level robotics competition and achieved an honorable mention)
      (January 2013 - August 2013)

      • *

        A line follower Robot, which can follow certain track and identify and grab the object besides the track.

    • Android Based Home Automation System
      (January 2013)

      • *

        Objective: To control all equipment in a home using Android phone through internet and Bluetooth.

    • Remind me! : An Android Based Reminder App.
      (January 2013)

      • *

        Objective: We frequently forget to buy important staff, i.e., medicine. This app reminds you when you are passing a pharmacy.

    • Programmer for PIC Micro-controller
      (December 2012)

      • *

        Clone of PIC KIT2.

  • Poster Presentation

    • Intelligent and Automated Hospital management system (Presented in EICT’13 , KUET. Co-author: Mohammad Badal Ahmmed).

    • Micro controller and PC based Universal Lab Instrument (Presented in EICT’13, KUET. Co-author: Mohammad Badal Ahmmed)

MAJOR GRADUATE COURSES

  • Computational Methods   High Performance Scientific Computing   Computational Linear Algebra   Advanced Machine Learning   Analytic Method of Partial Differential Equations   Fuzzy Mathematics   Qualitative Analysis of Ordinary Differential Equation   Computational Business Mathematics   Graph Theory with Algorithms   Differential Equations & Mathematical Modeling   Operations Management

TECHNICAL SKILLS

  • Linux Operating System (Ubuntu)

  • Programming Languages (C++, Python, Julia, MATLAB)

  • Development Tools (Git, CMake)

  • Desktop Tools (LaTeX, Microsoft Office)

PROFESSIONAL TRAINING & INTERNSHIP

  • Successfully Completed the training course on Programmable Logic Controller (PLC) & Programmable Instruments from Training Institute for Chemical Industries (TICI), Ministry of Industries, Govt. Republic of Bangladesh.

LANGUAGE SKILL

  • Bangla (Mother Tongue)

  • English (Fluent)

REFERENCE

  • Dr. Alfa Heryudono
    Associate Professor,
    Department of Mathematics,
    University of Massachusetts Dartmouth
    Email: aheryudono@umassd.edu

  • Dr. Scott Field
    Assistant Professor,
    Department of Mathematics,
    University of Massachusetts Dartmouth
    Email: sfield@umassd.edu