Md. Ahsan Habib

Work place: Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh



Research Interests: Computational Engineering, Engineering


Md. Ahsan Habib received the Master of Engineering in Information and Communication Technologies from Asian Institute of Technology (AIT), Bangkok, Thailand in the year of 2007, and the Bachelor of Science in Computer Science and Engineering from Shahjalal University of Science and Technology (SUST), Sylhet-3114, Bangladesh in the year of 2003. In 2003, he started working as a Lecturer in Computer Science and Engineering department in Asian University of Bangladesh, Dhaka-1230, Bangladesh. Then in 2005, he went to Thailand for his postgraduate study. In 2007, after finishing Master degree, he joined iSoftel (Thailand) Co. Ltd., Bangkok-10160, Thailand, as a Senior Software Engineer and Solution Specialist. Then in 2009, he moved to Mobile-Technologies Ltd., Bangkok-10110, Thailand, as a Software Development Manager and worked there till April 2012. Then he moved to G5-Technologies Ltd, Dhaka-1207, Bangladesh as the Chief Technical Officer. In 2014, he joined as a Senior Lecturer in Computer Science and Engineering department in the University of Liberal Arts Bangladesh (ULAB), Dhaka-1209, Bangladesh. Finally, in 2015, he joined as an Assistant Professor in the Computer Science and Engineering faculty, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur-5200, Bangladesh and is currently working there. His research interest includes Machine Learning, Data Mining, Computer Security, and Intrusion Detection.

Author Articles
The Techno-Economic Feasibility Serves to Optimize the PV-Wind-Hydro Hybrid Power System at Tangail in Bangladesh

By Nuhim Ahamed Noman Md. Sariful Islam Md. Ahsan Habib Sumon Kumar Debnath

DOI:, Pub. Date: 8 Jun. 2023

Bangladesh has been using fossil fuel sources for the last years to generate electricity. The electricity power generation capacity of Bangladesh must enlarge to support the increasing electricity demand nowadays. As the conventional fuel resources are limited on the earth, renewable resources (ex: PV, wind) must be used in the future. The aim of this study is to design a hybrid electricity and hydrogen production system with the photovoltaic, wind turbine, hydro, diesel generator, electrolyzer, and reformer using Hybrid Optimization Model for Electric Renewable (HOMER) software under the study area Delduar, Tangail, Bangladesh (2408.5/N, 89054.1/E). This research focuses on maximum electricity generation using renewable energy sources with a minimum cost of energy (COE). According to the Homer optimization model, the levelized cost of energy (COE) based on a PV-wind-hydro-diesel generator-electrolyzer-reformer-battery hybrid electricity generation system is $0.281, the net present cost is $3.22 million, and operating cost $60,401 with 99.5% renewable fraction respectively. Furthermore, the analysis confirms that hybrid PV-wind-hydro-diesel generator-hydrogen power plant construction in Delduar, Tangail area is economically feasible.

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Feasibility Analysis and Simulation of the Solar Photovoltaic Rooftop System Using PVsyst Software

By Md. Samiul Islam Faridul Islam Md. Ahsan Habib

DOI:, Pub. Date: 8 Dec. 2022

The objective of the research is to design and evaluate the grid-connected solar photovoltaic roof-top system at Tetulia, Panchagrah, Bangladesh using PVsyst software. The main factors of this research are the move toward renewable energy like PV with environmental consequences. The overall performance of a photovoltaic cell is determined by the amount of solar irradiation, the type of PV module used, and the orientation of PV module. Now, the grid-connected PV system is the best choice for large-scale renewable energy. For the case study, PVsyst software is used to analyze a 3kW solar PV plant installed on a rooftop for residential load consumption of 8.1kWh/day. The available AC energy generated by the PV panels is 4172kWh/year, and 1871kWh/year of surplus energy is supplied to the grid after daytime power demand is met. The yearly global horizontal irradiation of Tetulia, Panchagrah is 1485.4kWh/m2 and during the night, the quantity of electricity imported from the grid is 1050kWh/year. This technology helps in the prediction of power outages and backup energy storage because it makes use of the energy stored in the batteries.

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The Best Techno-economic Aspects of the Feasibility Study Concerning the Proposed PV-Wind-hydro Hybrid System in Nilphamari, Bangladesh

By Md. Sariful Islam Nuhim Ahamed Noman Md. Ahsan Habib

DOI:, Pub. Date: 8 Oct. 2022

This paper proposes multiple optimal combinations of renewable and nonrenewable energy systems for Nilphamari, Bangladesh. The Nilphamari relies mainly on on-grid electricity system. Therefore, the optimal combination of hybrid energy systems related to renewable and nonrenewable options is proposed to mitigate grid dependency. This hybrid energy system generates electricity for the consumption loads of the project area in which the natural resource potentials like solar, wind, hydro, and diesel are available. All power sources and resources data are included in the Homer software carefully. Finally, the Homer software is applied for viable techno-economic investigations especially cost of energy (COE) and net present cost (NPC) for the proposed hybrid system in Nilphamari, Bangladesh. The optimization result indicates that $0.224/kWh is the minimal COE. The proposed system has an operating cost of $16,156.16, a COE of $0.241/kWh, an NPC of $2,961,790.00, and a CO2 output of 3,373 kg per year. The proposed system's legitimacy, as determined by the LCOE and the NPC, was confirmed by optimization analysis. Within a few years of the project's lifetime, the system is estimated to pay for itself completely. The evaluations yielded the best system configurations, hybrid system costs, fuel savings, and CO2 emission reductions.

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A study and Performance Comparison of MapReduce and Apache Spark on Twitter Data on Hadoop Cluster

By Md. Nowraj Farhan Md. Ahsan Habib Md. Arshad Ali

DOI:, Pub. Date: 8 Jul. 2018

We explore Apache Spark, the newest tool to  analyze big data, which lets programmers perform in-memory computation on large data sets in a fault tolerant manner. MapReduce is a high-performance distributed BigData programming framework which is highly preferred by most big data analysts and is out there for a long time with a very good documentation. The purpose of this project was to compare the scalability of open-source distributed data management systems like Apache Hadoop for small and medium data sets and to compare it’s performance against the Apache Spark, which is a scalable distributed in-memory data processing engine. To do this comparison some experiments were executed on data sets of size ranging from 5GB to 43GB, on both single machine and on a Hadoop cluster. The results show that the cluster outperforms the computation of a single machine by a huge range. Apache Spark outperforms MapReduce by a dramatic margin, and as the data grows Spark becomes more reliable and fault tolerant. We also got an interesting result that, with the increase of the number of blocks on the Hadoop Distributed File System, also increases the run-time of both the MapReduce and Spark programs and even in this case, Spark performs far more better than MapReduce. This demonstrates Spark as a possible replacement of MapReduce in the near future.

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Pseudo Random Ternary Sequence and Its Autocorrelation Property Over Finite Field

By Md. Arshad Ali Emran Ali Md. Ahsan Habib Md. Nadim Takuya Kusaka Yasuyuki Nogami

DOI:, Pub. Date: 8 Sep. 2017

In this paper, the authors have proposed an innovative approach for generating a pseudo random ternary sequence by using a primitive polynomial, trace function, and Legendre symbol over odd characteristics field. Let p be an odd prime number, FP be an odd characteristic prime field, and m be the degree of the primitive polynomial f(x) Let w be its zero and a primitive element in Fpm* In the beginning, a primitive polynomial f(x) generates maximum length vector sequence, then the trace function Tr(.) is used to map an element of the extension field (Fpm) to an element of the prime field Fthen non-zero scalar A∈Fp is added to the trace value, and finally the Legendre symbol (a/p) is utilized to map the scalars into ternary sequence having the values, {0,1,and -1} By applying the new parameter A the period of the sequence is extended to its maximum value that is n=pm-1 Hence, our proposed sequence has some parameters such as p,m,and A This paper mathematically explains the properties of the proposed ternary sequence such as period and autocorrelation. Additionally, these properties are also justified based on some experimental results.

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