Welcome to my non-human existance. In the real life, I am passionate about intelligent technologies and renewable energy led future. I dream of living in a world of peace and equity. During non-screen hours, I love to travel and explore new things (if not sleeping or enjoying delicious food).
I wanna leave my footprints on the sands of time
Know there was something that and something that I left behind
When I leave this world I'll leave no regrets
Leave something to remember so they won't forget...
#2
M.A. Ehsan, A. Shahirinia, N. Zhang, T. Oladunni,
Investigation of Data Size Variability in Wind Speed Prediction of AI Algorithms,
Cybernetics and Systems, Vol. 52 (1), Oct 2020, Taylor & Francis.
DOI: 10.1080/01969722.2020.1827796
#1
C.K. Das, M.A. Ehsan, M.A. Kader, M.J. Alam, GM Shafiullah,
A Practical Biogas Based Energy Neutral Home System for Rural Communities of Bangladesh,
Renewable and Sustainable Energy, Vol. 8 (2), Feb 2016, AIP.
DOI: 10.1063/1.4942783
#7
M.A. Ehsan, W. Guo, D.M. Anand, and A.M. Gopstein,
Characterization of Residential Circuit Impedance,
in proceeding of IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 16-18 Feb 2021, Washington, DC, USA.
DOI: 10.1109/ISGT49243.2021.9372248
#6
N. Zhang, X. Dai, M.A. Ehsan, T. Deksissa,
Development of a Drought Prediction System Based on Long Short-Term Memory Networks,
in proceeding of 17th International Symposium on Neural Networks (ISNN), Lecture Notes in Computer Science, vol 12557. Springer, 4-6 Dec 2020, Cairo, Eqypt.
DOI: 10.1007/978-3-030-64221-1_13
#5
M.A. Ehsan, A. Shahirinia, J. Gill, N. Zhang,
Dependent Wind Speed Models: Copula Approach,
in proceeding of the annual IEEE Electric Power and Energy Conference (EPEC), 9-13 Nov 2020, Edmonton, Canada.
DOI: 10.1109/EPEC48502.2020.9320024
#4
M.A. Ehsan, A. Shahirinia, N. Zhang, T. Oladunni,
Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM),
in proceeding of 10th IEEE International Conference on Information Science and Technology (ICIST), 9-15 Sep 2020, Bath/London/Playmouth, UK.
DOI: 10.1109/ICIST49303.2020.9202300
#3
M.A. Ehsan, C.K. Das, M. Hasan,
Biogas Based Chain Business: A Road to Sustainable Rural Development,
in proceeding of 4th IEEE International Conference on Developments in Renewable Energy Technology (ICDRET), 7-9 Jan 2016, Dhaka, Bangladesh.
DOI: 10.1109/ICDRET.2016.7421505
#2
M.A. Matin, H. Rahman, M.R. Hossain, M.A. Ehsan, G.M.I. Hossain, M.M.I. Mahfuj,
Present Scenario and Future Prospect of Renewable Energy in Bangladesh,
in proceeding of International Conference on Physics for Sustainable Development and Technology (ICPSDT), 19-20 Aug 2015, Chittagong, Bangladesh.
availableOnline,
BestPosterAwardWinner
#1
M.A. Ehsan, C.K. Das, M.J. Alam,
Feasibility and Safety Study of Nuclear Power in Bangladesh: Perspective to Rooppur Nuclear Power Plant,
in proceeding of National Conference on Electrical & Communication Engineering and Renewable Energy (ECERE), 27 Nov 2014, Chittagong, Bangladesh.
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Undergraduate and Graduate Research, Internship at the Smart Grid Program of the U.S. Department of Commerce/ National Institute of Standards and Technology (NIST), Gaithesburg MD.
Graduate Research (Masters Thesis), Fellowship at Lockheed Martin, National Science Foundation and U.S. Department of Defence (DoD) Research Grant, AI in Smart Grid @NIST.
Xilinx FPGA on Vivado, Amazon AWS IoT, Tech Startup in Robotics and Embedded Systems Industry Applications.
DoE Enabling Extreme Real-time Grid Integration of Solar Energy (ENERGISE):
Robust and Resilient Coordination of Feeders with Uncertain Distributed Energy Resources: From Real-Time Control to Long-Term Planning
Affiliation & Time: NIST, 2019-present.
Supervisor/ Mentor: Dr. Dhananjay Anand.
Contribution: Simulink modeling of the STL layer. Current status: Working on the Hardware-in-the-Loop simulation at the NIST Smart Grid Testbed.
Tools Used: MATLAB/SIMULINK, RT-LAB.
Summary: This project develops a predictive optimization and coordination framework to manage flexible grid resources and legacy control devices available in a low-voltage distribution system to ease the fluctuations and variability of solar generation. Resources will be organized locally, regionally, and system-wide.
Net-Zero Energy Residential Test Facility (NZERTF):
Impedance Analyzer Project
Affiliation & Time: NIST, 2019-present.
Supervisor/ Mentor: Dr. Dhananjay Anand, Dr. Wenqi (Wendy) Guo.
Contribution: Performing experiments, data analysys and SPICE modeling.
Tools Used: Python 3, LTSPICE (PSPICE), LabVIEW.
Summary: This project develops equivalent SPICE modeling of low voltage distribution grid lump impedance parameterization (RLC). It utilizes he frequency response of any two distribution nodes over a range of frequency and estimate the RLC values for further application in total harmonic distortion reduction.
Power Electronic Converters for Grid Connected Solar PV and Microgrid
Affiliation & Time: UDC, 2018.
Supervisor/ Mentor: Dr. Amir Shahirinia.
Contribution: Modeled and simulated DC/DC and DC/AC (1ph and 3ph) converters and validated through hardware-in-the-loop simulation.
Tools Used: MATLAB/SIMULINK, RT-LAB.
Summary: In this summer activity, various converter topologies were modeled, simulated and validated with an application of solar PV grid integration. Various control and optimization techniques were explored. Maximum Power Point Tracking (MPPT) algorithms were also implemented in the process. Finally, hardware-in-the-loop real time simulations were performed for each cases.
Modeling, Simulation and Analysis of Microgrid for CUET Campus
[Undergraduate Thesis]
Affiliation & Time: CUET, 2014-15.
Supervisor/ Mentor: Dr. Choton Kanti Das.
Contribution: Proposed a renewable energy integrated microgrid for a fully residential university facility. Investigated the existing grid scheme. Feasibility analysis of the proposed microgrid.
Tools Used: MATLAB/SIMULINK, HOMER, SolarGIS.
Summary: In this thesis, an AC-DC micro grid is proposed for the Chittagong University of Engineering and Technology (CUET) campus in place of presently existing AC only power system, surveyed whole campus area to find real time data and analyzed them to design the micro grid. In the designed system, conventional lighting and cooling loads (electric fan) were replaced with energy efficient DC ones. Solar system with battery storage facility was designed for each building and interconnected them to make the grid self-sustaining along with some emergency provisions. Finally, Simulink, HOMER and solarGIS simulation platforms were utilized to verify the theoretical results.
Energy Neutral Home System (ENHS) and
Community Based Renewable Energy Business Model
Affiliation & Time: CUET, 2014-15.
Supervisor/ Mentor: Dr. Choton Kanti Das.
Contribution: Literature survey, experimental data analysis, feasibility study, article writing.
Tools Used: Existing biogas plant, MS Excel.
Summary: The main idea was to develop a community based biogas system for clean electricity and cooking solution along with ensuring clean environment and sustainable development of the livelihood. Surveyed the selected area and analyzed the data to design an energy efficient and economically viable model of such. Finally, a business model was proposed and verified with economic feasibility study.
Nuclear Power Reactors and Safety Study
Affiliation & Time: CUET, 2014-15.
Supervisor/ Mentor: Dr. Choton Kanti Das.
Contribution: Literature survey, feasibility study, article writing.
Tools Used:
Summary: This study reviewed the existing (on date) nuclear reactors, their safety features and overall safety and preparedness to maintain a nuclear power plant in a country like Bangladesh.
Predictive modeling of wind penetrated power systems [Masters Thesis]
Affiliation & Time: UDC, 2019-present.
Supervisor/ Mentor: Dr. Amir Shahirinia.
Contribution: Data sourching. Feature selection. Statistical and Machine Learning Algorithms for wind speed prediction. Wind power uncertainity modeling applying copulus.
Tools Used: Python, R.
Summary: This research utilizes meteorological data to predict wind speed for a certain location that later used as the predictor for wind turbine power generation prediction. Later, two nearby wind farms are considered to find the uncertainity/dependency between thei power outputs or wind speeds which is then used for risk analysis of any turbine cutting off from generation cycle. This information may be later (future work) used for power systems optimal control and stability research.
AI Application for Solar Occlusion Detection
Affiliation & Time: NIST, 2019-present.
Supervisor/ Mentor: Dr. Dhananjay Anand, Dr. Patrick Kamongi.
Contribution: Sky camera image and video data annotation.
Tools Used: Custom tool.
Summary: This project utilizes the sky pictures to predict occlusion event on sun which may be later utilized for solar tracker for optimum power output.
AI for Image Detection/ Pattern Recognition
Affiliation & Time: UDC, 2019.
Supervisor/ Mentor: Dr. Nian Zhang
Contribution: Explored and utilized various deep learning algorithms (e.g. DNN, CNN, DCNN, RNN, GAN) and utilized few of them for hand written digit recognition.
Tools Used: Python, Keras.
Summary: The first phase of this project- "exploration" was to learn and experiment different deep learning tools for diverse datasets (cifar10, MNIST etc) as student engagement under the Lockheed Martin Fellowship Program. In the later phase, focus was narrowed down to hand written digit recognition using hybrid algorithms as a part of the NSF & DoD research grant.
Internet of Things on Amazon AWS
Affiliation & Time: UDC, 2019-present.
Supervisor/ Mentor: Dr. Esther Ososanya
Contribution: Developing IoT on Amazon AWS as a part of academic requirement and self interest.
Tools Used: Amazon AWS.
Summary: The goal of this activity is to learn how to build IoT applications on Amazon AWS and solve a smart city problem by the end of the semester. It is an ongoing project...
FPGA Applications Design
Affiliation & Time: UDC, 2018.
Supervisor/ Mentor: Dr. Wagdy Mahmoud
Contribution: Explored capabilities of Zedboard. Implemented following applications. Tested for floating point multiplication, high level synthesis and hardware optimization techniques.
Tools Used: Xilinx Vivado, Vivado HLS.
Summary: The goal was to explore various FPGA capabilities including- DMA operations between memories using AXI CDMA controller in polling and interrupt modes;
AXI BRAM controller instantiation, use of BRAM to extend address space and run application from it;
Processor System design to Filter Audio Signal;
area and resources utilization using various techniques- Inline, Pipeline, Dataflow, Array partition, Reshape, Interface.
Robotics and Embedded Systems (Tech Startup: Dimik Electronics)
Affiliation & Time: CUET/UDC, 2015/19.
Co-Founders: Mazidul I. Mahfuz, Akib Khan, Imran Hossain, Arnab Paul
Contribution: Hardware design.
Tools Used: Proteous, C/C++, Microcontrollers, Sensors, PCB.
Summary:
Smart Energy Meter: Designed and fabricated smart energy meter. Some of the core features include bidirectional communication scheme, user interface, computer interfacing, and inserted memory card. Control device is Arduino Uno in this case. Hall Effect sensor is used for sensing circuit and Real Time Clock for offline operation. (Keywords: Arduino Uno, LCD, Keypad, Hall Effect Sensor, Micro SD Card, RTC).
Antitheft Security System: Designed and implemented to ensure security of any facility. Arduino Uno was used as the control device. For sensing function, ultrasonic sensor and PIR motion sensor were used. (Keywords: Arduino Uno, Ultrasonic Sensor, PIR Motion Sensor, Relay).
Bluetooth Remote Controlled Switch: To provide any kind of switching solutions, this device was introduced. Bluetooth module was used to establish the communication link and Arduino Uno as the control device. This switch is equally applicable for both indoor and outdoor applications as well as small and large scale implementations too. (Keywords: Bluetooth Module, Arduino Uno, Relay).
Smart Water Tank: Designed and build a smart water tank based on the inside water quantity. When the water falls below a certain level, the pump switches ON without any human effort and OFF when reaches the maximum allowable limit. Designed the sensors using conductor probes. (Keywords: PIC16F73, Custom Sensor, Relay).
Smart Water Tap: Designed and implemented an autonomous water tap using solenoid valve. IR sensor was used for sensing purpose and microcontroller as the control device. (Keywords: PIC16F73, IR Sensor, Solenoid Valve ).
PC Based Smart Home Automation System: Designed and implemented a computer controlled house hold automation. All the devices were interfaced with computer through a sensing circuit to supervise their operation centrally from one place. Light intensity and fan speed were the key control parameters. There also designed a GUI in C# so that the user can interact readily. (Keywords: Arduino Uno, C#, Temperature Sensor, Triac).
PC Based Motor Controller: Designed and fabricated a computer based wireless motor controlling scheme. A window based GUI is designed for interaction between the user and the system. Arduino Uno was the control device. The device consists of two different parts: computer interfaced part and the motor control part adjacent to the motor. RF module is used to communicate between the two device portions. (Keywords: C#, Arduino Uno, RF Module, Motor Driver).
Smart Home Automation & Security System: I designed an autonomous energy efficient home system using various sensors and microcontroller based control system including several security schemes.
Antitheft SeElectronic Voting Machine: I developed a vote counting device. In demo version, a voter could vote two separate positions at the same time among 3 candidates for each.
Automatic Street Light: In Bangladesh, street lights are an eminent source of electricity waste in some point. To prevent this problem, I, along with a small team introduced a natural luminance dependent self-driving lighting technique.
MECH-302 Research Experience & Technical Communication. [University of the District of Columbia]
ELEC-316 Computer Organization Lab. [University of the District of Columbia]
ELEC-477 Introduction to Control Systems and Applications Lab. [University of the District of Columbia]
ELEC-374 Signals and Systems Lab. [University of the District of Columbia]
ELEC-477 Introduction to Control Systems and Applications Lab. [University of the District of Columbia]
ELEC-483 Digital Design and Synthesis Lab. [University of the District of Columbia]
ELEC-477 Introduction to Control Systems and Applications Lab. [University of the District of Columbia]
ELEC-479 Digital Integrated Circuits Lab. [University of the District of Columbia]
MECH-373 Control Systems and Applications Lab. [University of the District of Columbia]
ELEC-224 Electrical Circuits Lab- II. [University of the District of Columbia]
EECE-105 Electrical Circuits-II. [Military Institute of Science and Technology - Bangladesh Naval Academy Campus]
EECE-106 Electrical Circuit And Simulation Laboratory II. [Military Institute of Science and Technology - Bangladesh Naval Academy Campus]
EECE-170 Electronic Device and Circuits Lab. [Military Institute of Science and Technology - Bangladesh Naval Academy Campus]
EECE-101 Electrical Circuit-I. [Military Institute of Science and Technology - Bangladesh Naval Academy Campus]
EECE-163 Electrical Circuit Analysis. [Military Institute of Science and Technology - Bangladesh Naval Academy Campus]
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This section will contail various research related and academic resources such as tools, tutorials, lectures etc. for future reference and easy access.
