Research articles produced by the CSE department in the year 2023 https://ar.iub.edu.bd/handle/123456789/563 2026-04-15T23:46:32Z 2026-04-15T23:46:32Z Alam, Md Zahangir S. Khan, Komal Jamalipour, Abbas https://ar.iub.edu.bd/handle/123456789/655 2026-02-26T06:33:53Z 2023-10-01T00:00:00Z

Multi-agent best routing in high mobility digital-twin-driven internet of vehicles Alam, Md Zahangir; S. Khan, Komal; Jamalipour, Abbas Low-delay high-gain optimal multi-hop routing path is crucial to guarantee both the latency and reliability require- ments for infotainment services in the high mobility internet of vehicles (IoVs) subject to queue stability. The high mobility in multi-hop IoVs reduces reliability and energy efficiency, and becomes bottleneck for the optimal route solution using classical optimization methods. To a great extent, deep reinforcement learning (DRL)-based method is not applicable in IoVs envi- ronment because of the continuously changing topology and space complexity, which grows exponentially with the number of state variables as well as the relaying hops. Usually, in multi- hop scenario, network reliability and latency are affected by mobility as well as average hop count, which limit the vehicle- to-vehicle (V2V) link connectivity. To cope with this problem, in this paper, we formulate a minimum hop count delay-sensitive buffer-aided optimization problem in a dynamic complex multi- hop vehicular topology using a digital twin-enabled dynamic coordination graph (DCG). Particularly, for the first time, a DCG-based multi-agent deep deterministic policy gradient (DCG- MADDPG) decentralized algorithm is proposed that combines the advantage of DCG and MADDPG to model continuously changing topology and find the optimal routing solutions by cooperative learning in the aforementioned communications. The proposed DCG-MADDPG coordinated learning trains each agent towards highly reliable and low latency optimal decision-making path solutions while maintaining queue stability and convergence on the way to a desired state. Experimental results reveal that the proposed coordinated learning algorithm outperforms the existing learning in terms of energy consumption and latency at less computational complexity.

2023-10-01T00:00:00Z Kabir Peya, Md Mahmudul Puspita, Afrin Hossain Alam, Sabrina Mahbubul Islam, Yousuf Shahabuddin, A. M. Hasan, Mahady https://ar.iub.edu.bd/handle/123456789/654 2026-02-26T06:33:52Z 2023-09-01T00:00:00Z

A Sustainable Approach to Establish Industry-Academia Collaboration by Engaging the Rural Community for the Developing Countries Kabir Peya, Md Mahmudul; Puspita, Afrin Hossain; Alam, Sabrina; Mahbubul Islam, Yousuf; Shahabuddin, A. M.; Hasan, Mahady Skill and knowledge both play a vital role in sustainable career development. Universities were built to nurture knowledge thus the focus was on offering a knowledge-based curriculum. On the other hand, the industry's requirement is skill. Hence, the demand focuses on employees with real-world and hands-on skills. This gap between academia and industry impacts both students and industry. Furthermore, developing countries commonly lack the infrastructure needed to work with academia to support research that solves industry-specific problems. The motivation of the study is to work in rural development using engineering knowledge from academia. The research question driving the study is, "How can universities of developing countries mitigate the gap between theoretical learning and practical industrial skills?" Due to the rural environments, developing nations rely substantially on small-scale industries related to agriculture, fisheries, forestry, etc. The goal is to develop a model where students will be exposed to rural industry driven problems throughout their academic journey and work to solve the problems. Which will also prepare them for their future professional roles. The research utilizes case study approach by using data from students at Independent University, Bangladesh, where a three-credit Live-in-Field Experience course is in place. This course is a part of the foundational coursework and involves students living in rural areas, identifying issues in the rural sector, and formulating potential solutions. The effectiveness of this approach is evaluated incrementally, with successive student groups improving upon the previously devised solutions. The study shows that incorporating the model into the academic curriculum offers various outcomes. First, the model promotes experiential learning, where students solve real-world problems, particularly in rural areas. This change in teaching practice broadens theoretical concepts and their practical applications. The model creates bridges between academia and industry. Industry personnel will be interested in working and teaching in academia, which will help students get exposure to current industry practices and gain the required skills. The analysis proves that academic curricula that integrate industry-based problem-solving have an impact on both students and industries. The proposed model connects the bridge between academia and industry. Compared to the existing knowledge, this study could redefine our understanding of effective academic-industry collaborations and the role of universities in developing nations to adapt. The novel approach highlights the necessity of a change from knowledge-based education to one that emphasizes application and problem-solving skills.

2023-09-01T00:00:00Z Mark Quiah, Raven Akter, Soma Ahmed, Shad Masudur Rahman, Mohammad Alam, Sanzar Adnan Islam, Ashraful https://ar.iub.edu.bd/handle/123456789/652 2026-02-26T06:33:52Z 2023-10-01T00:00:00Z

Initial Development and Performance Evaluation of a Bengali Voice-Operated Virtual Assistant for Personal Computer Control Mark Quiah, Raven; Akter, Soma; Ahmed, Shad; Masudur Rahman, Mohammad; Alam, Sanzar Adnan; Islam, Ashraful This paper presents the preliminary development and performance evaluation of a personal computer assistant designed for voice-operated interaction in Bengali. A bespoke phonetic grammar has been devised to map Bengali phonemes onto English representations, and an algorithm has been developed to mitigate the confusion of the machine in recognizing the same type of phonetics in the language, which helps to enhance the precision in comprehending Bengali commands. The system integrates the Microsoft speech synthesizer to articulate speech in Bengali, which facilitates the expansive human-computer interaction capabilities of the system, particularly for visually impaired individuals who face challenges in text-based computer interactions. The applications of this system extend among Bengali speakers and hold potential utility within rural regions of Bangladesh. The system also aims to replace the traditional mouse and keyboard for users with their own voice commands in their native language. Upon successful implementation of the system, it achieved 92.5% accuracy in the noise-free environment and 76.4% accuracy in the noisy environment with the help of 10 Bangladeshi individuals, including both males and females.

2023-10-01T00:00:00Z Smaron, J,M, Sadik-Ul Islam Tabassum, Yousra Simoon, M.M. Rahman, Zara Rafid, Lishan Islam, Ashraful https://ar.iub.edu.bd/handle/123456789/650 2026-02-26T06:33:51Z 2023-10-01T00:00:00Z

A Comparative Overview of Local Mobile Financial Services Smartphone Apps Available in Bangladesh Smaron, J,M, Sadik-Ul Islam; Tabassum, Yousra; Simoon, M.M.; Rahman, Zara; Rafid, Lishan; Islam, Ashraful The rapid growth of mobile financial services (MFS) contributes toward the revolution of the financial landscape in developing economies, particularly Bangladesh. As a key player in promoting financial inclusion and the rising numbers of smartphone users, MFS smartphone apps have become increasingly popular in the country, catering to the needs of millions of unbanked and underbanked individuals. This paper aims to conduct a comprehensive comparative analysis of the various official MFS apps (n=13) available in Bangladesh, evaluating their features, functionalities, operational aspects, security measures, and overall facilities. The comprehensive exploration identified 18 distinct elements spanning four primary themes that stand out in the functionality of these apps: (1) Money Transfers and Transactions, (2) Financial Services and Bill Payments, (3) Service-related Charges, and (4) Consumer Finance. Each theme brings forth critical insights into the capabilities of these MFS apps, their user-friendliness, and their potential to effectively serve the unbanked and underbanked populations of Bangladesh. This comparative analysis is anticipated to provide valuable insights that can serve as a foundation for future advancements in MFS, fostering financial inclusion and promoting a more efficient and secure digital financial ecosystem in Bangladesh.

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