Further Information Including References will be provided on request

MD KHURRAM MONIR RABBY

Greensboro, North Carolina, USA

Looking for an opportunity in Machine/Deep Learning Data Science/Engineering Computer Vision Robotics Software

+1-336*******

khurram-monir-rabby

adkc7w@r.postjobfree.com

mkmrabby

COMPUTER SKILLS & COMPETENCIES

Programming Languages : C++, Python, C#, C, 8086 Assembly Language, Verilog, R, VHDL, SQL, Java Libraries : Pandas, Matplotlib, NumPy, sci-kit Learn, SciPy, OpenCV, TensorFlow, Keras, NLP, PySpark, PyTorch FrameWork : Colaboratory, GitHub, Jupyter Notebook, Docker Software : Pspice, Proteus, Quartus, Autocad, V. Cadence, Microwind, Cyme Psaf, UWPflow, DPF, Gazebo, V-rep, MATLAB, Simulink, ROS, AVR studio, MikroC Pro for AVR & PIC, Unity Operating System : Windows, Linux

ACHIEVEMENTS &/ AWARDS

Technical and Compensatory Scholarship in BUET, Dhaka, Bangladesh 2008-2013

Fellowship Award in North Carolina A&T State University, NC, USA 2017-present

Intel® Edge AI Scholarship 2019

Winner of MATLAB Helper ® Quiz Contest – Mar’20 2020

Graduate Student Advisory Council (GSAC) Mini Research Grant Award 2019-2020 PRESENTATIONS & / INVITATION SPEECHES, MEMBERSHIPS, VOLUNTARY ACTIVITIES

Participation in Conferences as Presenter: International Conference: ICECE (2014, 2016, 2018); ICIEV (2012-13); SMC (2020)

Participation As Invited Speaker: Student Leadership Council and Faculty of ACIT Institute and TECHLAV Center (2018/2019/2020)

Memberships: National Society of Professional Engineers (NSPE), Shahid Babul Academy (book reading club), GSO Public Library, NC, USA

Paper Review Experience: Int. Conference Paper – 1 and Int. Journal Paper – 6

Organizational & Other Skills: Debating Club, Scouting, Member of official picnic committee, PGCB Ltd, Bangladesh EDUCATION

Ph.D. in Electrical & Computer Engineering (ECE) 2017-present Specialization in Automation & Control System Engineering on Robotics using AI, ML, & DL North Carolina A&T State University, USA MSc. in Information & Communication Technology (ICT) 2017 Specialization in Wireless Power Transfer, Wireless Body Area Network, Wireless Sensor Nodes BUET, Dhaka, Bangladesh BSc. in Electrical & Electronic Engineering (EEE) 2013 Specialization in Power System Analysis, Operation & Control BUET, Dhaka, Bangladesh RESEARCH EXPERIENCES

Ph.D. Research 2017-present

Application of AI on robotics to establish a collaborative human-robot interaction ACCESS Lab & TECHLAV, NCA&TSU, USA MSc. Research 2015-2017

Designed efficient WPT circuitries to charge sensors inside the human body in a WBAN EEE, BUET, Dhaka, Bangladesh BSc. Research 2011-2012

Identified the voltage collapse phenomenon on a large-scale high voltage distributed system

Developed a novel reactive power supplying technique to mitigate voltage collapse EEE, BUET, Dhaka, Bangladesh

PROJECT EXPERIENCE on DATA SCIENCE/DATA ENGINEERING ACCESS Lab & TECHLAV, NCA&TSU, USA Deep Learning & Image-based Detection Project: Detection and Classification

keras and tensorflow have been used to train and develop a CNN model that can detect and classify an object for a computer vision application Machine Learning Project: Geo and Mission Data Analysis for the Robot Performance Measurement

pandas and sci-kit learn have been used on a series of the wifi-connected robotic vacuum cleaners data to analyze their performances Machine Learning & Web Development Project: Creating Scholarship Web Application

pycharm IDE has been used for developing a web that can classify and visualize the user demand scholarship information using a supervised learning approach.

Machine Learning & Web Development Project: Analysis of Mental Health Problems in COVID–19 Pandemic

Google Colab IDE has been used to leverage the positive aspects of COVID-19 using supervised machine learning that will offset the negative problems of COVID-19 in order to improve mental health Machine Learning Project: Epileptic Seizure Classification from Time-Series of EEG Data Set

Binary Classification of the Epileptic Seizure has been performed from the EEG dataset using KNN, Logistic Regression, Stochastic Gradient Descent, Naive Bayes, Decision Tree, Random Forest, Gradient Boosting, Extremely Random Tree, and XGBoost models Deep Learning Project: Wavelet Transform-based Feature Extraction and Epileptic Seizure Classification from EEG Data Set

Wavelet transform-based feature extraction approach has been performed from EEG dataset using Neural Network (NN), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Convolutional Neural Network (CNN) Image-based Detection Project: Image Classification using Data Organization Model

To develop an algorithm for a computer vision application that can classify image using Data Organization Model (DOM) Machine Learning Project: Fraudulent Transaction Detection from E-commerce website

To build a machine learning model using IF, GBC, RFC, BC, aBC, and O-SVM, which predicts the probability that the first transaction of a new user is fraudulent

RESEARCH SKILLS & COMPETENCIES on DATA SCIENCE/DATA ENGINEERING

Machine/Deep Learning. Importing & Cleaning Data. Data Manipulation. Data Visualization.

Time Series. Statistics. Big Data. Natural Language Processing. CERTIFICATION on DATA SCIENCE/DATA ENGINEERING

Oxford Machine Learning Summer School 2020

Coursera: TensorFlow for AI, Machine Learning, and Deep Learning BCI & Neurotechnology Summer School 2020

DataCamp: Career Track in Machine Learning

PUBLICATIONS in RESEARCH &/ SCIENTIFIC FIELDS

International Journal Publications: Four (04) International Conference Publications: Eleven (11)

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