Apr, 2021
Mar, 2020
Nov, 2019
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Khandaker Akramul Haque
I'm
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About Me
Get to Know me.
I'm a
Doctoral Candidate of Electrical & Computer Engineering Department at Texas A&M University
I've a bachelor's and a master's in Electrical Engineering both from BUET. My career started as a lecturer in Stamford University, BD . Then, I've joined NWPGCL where I've worked as an operation engineer in the operation of an E class gas turbine and its associated equipments required in a combined cycle power plant. During this time I've also gained international expertise from Siemens Power Academy. After that I have worked as a power distribution engineer in DPDC which is responsible for the distribution of electricity among consumers in the city of Dhaka. At present I am pursuing my Ph.D. under the supervision of Dr. Katherine Davis at Texas A&M University focusing on Cybersecurity. With a passion for programming at an early age I've gained expertise in web development, penetration testing, data science and blockchain.
I've a bachelor's and a master's in Electrical Engineering both from BUET. My career started as a lecturer in Stamford University, BD . Then, I've joined NWPGCL where I've worked as an operation engineer in the operation of an E class gas turbine and its associated equipments required in a combined cycle power plant. During this time I've also gained international expertise from Siemens Power Academy. After that I have worked as a power distribution engineer in DPDC which is responsible for the distribution of electricity among consumers in the city of Dhaka. At present I am pursuing my Ph.D. under the supervision of Dr. Katherine Davis at Texas A&M University focusing on Cybersecurity. With a passion for programming at an early age I've gained expertise in web development, penetration testing, data science and blockchain.
My Brief Career
Work Experience
5.5 years of work experience in the power industry of Bangladesh Power Division. 1.5 years of work experience as a lecturer of Electrical Engineering in a reputed university
Research Publication
My research works have been accepted in the reputed peer-reviewed journals of AIP and IEEE. Moreover I've publication in international conference of IEEE
As A Developer
I'm a full stack JavaScript & Blockchain developer, a pentester with deep level knowledge in Kali Linux and a deep learning enthusiast with expertise in PyTorch & TensorFlow
My Programming Skills
JavaScript
95%
Python
90%
Matlab
90%
PHP
85%
C/C++
90%
Solidity
85%
Dart
94%
Java
85%
Akramwired, 2024
My Portfolio
Some Of My Works and Qualifications
Algorithm: Indoor Photovoltaics
Algorithm developed with Matlab for earth abundant material suitable for indoor photovoltaic applications and can be used with any type of commercially available White LEDs.
Front End: Hotel Booking
Front end hotel booking web app developed with JavaScript framework React taking advantage of the context API.
Front End: E-commerce Site
Front end e-commerce site developed with JavaScript framework React taking advantage of the context API and payment method is developed with PayPal Developer API.
JAMstack: Newsfeed
Full stack news based web app developed with JAMstack which includes JavaScript, API and Markup language. The JAMstack ensures fast and secure transfer of data in web app.
Front End: Tetris
Front end web app developed with React with the implementation of the classic "Tetris" game.
JAMstack: Covid 19 Map
Front end map based web app developed with React, Gatsby and Leaflet.
Expertise in Combined Cycle Power Plant I
Gained international expertise in the operation of E-class gas turbine from Siemens Power Academy in Nuremberg, Germany. Me inside Siemens Power Academy, the third person from the left.
Expertise in Combined Cycle Power Plant II
Gained international expertise in the operation and maintenace of a combined cycle power plant from Zhejiang Energy in Hangzhou, China. Me inside Zhejiang Energy Power Academy, the second person from the right.
Deep Learning: Long Short-Term Memory
A fully robust LSTM network for forecasting stock prices.
Deep Learning: AutoEncoders
A fully robust movie recommendation system with AutoEncoders.
Deep Learning: Generative Adversarial Network
Formation of fake images with GAN using PyTorch.
Dijkstra's Algorithm: Quick Transit
Dijkstra's Algorithm implemented with Breadth First Search and Depth First Search written in Python for quick selection of train route among the list of stations.
Blockchain: Personal ICO
Initial conin offering developed to run on the Rinkeby & Ropsten test network of the Ethereum Blockchain
Pentesting Notes
Notes written for beginner level penetration testing to be used with Kali Linux.
Deep Learning: Computer Vision
Algorithm developed for motion detection from a video feed using OpenCV.
Akramwired, 2024
Publications
My Research Interests Device Physics, Indoor Photovoltaics, Power Electronics, Photonics, Cybersecurity and Deep Learning.
My research publications.
Akramwired, 2024
