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About Me Get to Know me.
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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.
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My Brief Career
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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

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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

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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%
C
85%
C++
90%
C#
85%
Dart
94%
Solidity
85%
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My Portfolio Some Of My Works and Qualifications
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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.

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Front End: Hotel Booking

Front end hotel booking web app developed with JavaScript framework React taking advantage of the context API.

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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.

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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.

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Front End: Tetris

Front end web app developed with React with the implementation of the classic "Tetris" game.

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JAMstack: Covid 19 Map

Front end map based web app developed with React, Gatsby and Leaflet.

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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.

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Deep Learning: Long Short-Term Memory

A fully robust LSTM network for forecasting stock prices.

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Deep Learning: AutoEncoders

A fully robust movie recommendation system with AutoEncoders.

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Deep Learning: Generative Adversarial Network

Formation of fake images with GAN using PyTorch.

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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.

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Blockchain: Personal ICO

Initial conin offering developed to run on the Rinkeby & Ropsten test network of the Ethereum Blockchain

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Pentesting Notes

Notes written for beginner level penetration testing to be used with Kali Linux.

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Deep Learning: Computer Vision

Algorithm developed for motion detection from a video feed using OpenCV.

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Publications My Research Interests Cybersecurity, Machine Learning, Power Electronics and Device Physics. My research publications.
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May, 2024

2024 IEEE PES T&D Conference

L. Blakely, G. Fragkos, S. Hossain-McKenzie, C. Goes, K. A. Haque, A. Summers, and K. Davis. “A Comparison Study of Feature Extraction and Data Fusion Techniques for Improving Cyber-Physical Situational Awareness,” 2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2024. DOI and PDF

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Feb, 2024

TPEC 2024

Sun, Shining, Shamina Hossain-McKenzie, Leen Al Homoud, K. A. Haque, Ana Goulart, and Katherine Davis “An AI-based Approach for Scalable Cyber-Physical Optimal Response in Power Systems,” IEEE Texas Power and Energy Conference (TPEC), 2024. DOI and PDF

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Feb, 2024

ISGT NA 2024

K. A. Haque, Katherine Davis, Logan Blakely, Shamina Hossain-McKenzie, Georgios Fragkos, and Christopher Goes, “Multimodal Learning in Cyber-Physical System: A Deep Dive with WSCC 9-Bus System,” IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2024. DOI and PDF

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Apr, 2021

IET CDS

K. A. Haque, and M. Z. Baten, “Correlation between performance characteristics of indoor photovoltaic devices and DC‐to‐DC up‐converters for low‐power electronic applications,” IET Circuits, Devices & Systems, 2021. DOI and PDF

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Mar, 2020

IEEE JPV

A. Saha, K. A. Haque, and M. Z. Baten, “Performance evaluation of singlejunction indoor photovoltaic devices for different absorber bandgaps under spectrally varying white light-emitting diodes,” IEEE Journal of Photovoltaics, 2020. DOI and PDF

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Nov, 2019

IEEE PEEIACON 2019

K. A. Haque and M. Z. Baten, “Design optimization of self-driven boost converter for cztsse indoor photovoltaic device based low-power electronic,” in 2019 IEEE International Conference on Power, Electrical, and Electronics and Industrial Applications (PEEIACON). DOI and PDF

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May, 2019

AIP Advances

K. A. Haque and M. Z. Baten, “On the prospect of CZTSSe-based thin film solar cells for indoor photovoltaic applications: A simulation study,” AIP Advances, 2019. DOI and PDF

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Contact Me
Get In Touch.
Message Me
Contact Info
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Name

Khandaker Akramul Haque

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Location

Dhaka, Bangladesh

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Call

+8801914035622

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Email

info@akramwired.com