Akram's Pages

Khandaker Akramul Haque

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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.

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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%

85%

C++

90%

85%

Dart

94%

Solidity

85%

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My Portfolio Some Of My Works and Qualifications

Setting Up IPFS as a Private P2P Network Using Docker

Configuring a Secure and Decentralized IPFS Peer-to-Peer Network with Docker.

Private Data Hosting with MultiChain in Docker

A step-by-step guide to setting up a private data hosting solution using MultiChain within a Docker container.

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.

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.

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.

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

Oct, 2024

2024 IEEE NAPS Conference

D. Chowdhury, L. A. Homoud, K. A. Haque and K. Davis. “Predicting and Optimizing the Power Performance of Dye-Sensitized Solar Cells Using Machine Learning Techniques,” IEEE NAPS, Tx, USA, 2024. DOI and PDF

Sept, 2024

2024 IEEE SmartGridComm Conference

K. A. Haque, L. Al Homoud, X. Zhuang, M. Elnour, A. Goulart and K. Davis. “On Graph Theory vs. Time-Domain Discrete-Event Simulation for Topology-Informed Assessment of Power Grid Cyber Risk,” IEEE SmartGridComm, Oslo, Norway, 2024. DOI and PDF

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,” IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2024. DOI and PDF

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

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

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

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

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

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

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Message Me

Contact Info

Name

Khandaker Akramul Haque

Location

Dhaka, Bangladesh

Call

+8801914035622

Email

info@akramwired.com