Research Assistant

Shamim Forhad

Educational Qualifications:

 Job Experience: 

Research Interest:

• Renewable Energy
• Image Processing
• Robotics
• IoT
• Networking
• Semiconductor

Publications: 

1. Optimizing Solar Energy Utilization in Multi-Unit Residential Buildings: Performance Evaluation Towards Net-Zero Energy Buildings in Bangladesh
   DOI 10.1109/ICEEICT53905.2021.9667846
   Abstract:
   This study investigates the feasibility and potential of employing solar panels to attain net zero energy consumption in residential buildings in Bangladesh. The research comprehensively examines technical, economic, and environmental factors influencing the implementation of solar panel systems. The outcomes aim to offer valuable insights for architects, engineers, building owners, and policymakers, aiding them in reducing fossil fuel usage, minimizing carbon footprints, and promoting energy sustainability.

   The study presents tangible results, showcasing the proposed design of a building integrated with solar panels to achieve net zero energy consumption. A detailed analysis of the installation, cost, performance, and maintenance of the solar panel system is provided, revealing cost-effectiveness and sustainability. The research explores the potential of energy storage systems, such as batteries and thermal storage, in enhancing solar panel system performance. The anticipated findings include quantifiable data on energy savings, cost reduction, and environmental impact. These results are expected to contribute significantly to ongoing initiatives for developing sustainable energy solutions in buildings in Bangladesh. The comprehensive insights garnered from this research will facilitate informed decision-making and advancements in sustainable energy practices, promoting a paradigm shift towards net zero energy consumption in the context of Bangladesh.

   Author: First Author
   Publisher: Energy and Buildings (Q1)

   Published by: Elsevier BV

   Print ISSN: 0378-7788
   Status: Submitted, Peer-Review.

2. Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development
   Abstract:
   The twenty-first century is currently in grave danger of global warming owing to carbon emissions due to the production of energy from fossil fuels for the last two hundred years. Reliance on renewable energy (RE) alone can protect us from environmental pollution, climate change, and global warming. Renewable, clean energy will balance our future for a living, securing energy reliability and the sustainable development of a country. This research will explore how Bangladesh may reach a 100% reliable and adaptable RE output by 2050. The energy sector, particularly the move away from gas, coal, and oil-based power systems, will be Bangladesh's most crucial fossil carbon reduction alternative. This research will also study the pathways of Bangladesh to a completely decarbonized and cost-effective energy grid and its proper management. Nevertheless, the biggest challenge of such a flexible and reliable RE transition is converting existing non-renewable power grid systems. From a technological and an energetic standpoint, this research will investigate the methods and technologies being suggested/demonstrated as alternatives to conventional fossil-dependent stable power systems and their prospects for entrance into the post-fossil fuel age. As a result, both in the near and distant future, the proposed Carbon-free Advanced Power Network (CAPN)2021–2050 model will be the most cost-effective, least greenhouse gas-emitting, and carbon-free energy generation option for future energy systems, where intelligent energy management systems will play a prime role. Finally, under the suggested roadmap, there will be no need to build new gas, coal, furnace oil, or nuclear power plants, and, parallelly, the current fossil fuel capacity will be phased down depending on its technological lifetime. 

   Author: Third Author
   Publisher: Cleaner Energy System (Q2)

   Published by: Elsevier.
   Status: Submitted, Peer-Review.

Conference:

1. An Autonomous Agricultural Robot for Plant Disease Detection 
   Abstract: 
   

   Bangladesh is the land of agriculture, known for growing varieties of crops, also the main source of employment, employing around half of the workforce. Plant diseases could have an impact on farmers’ livelihoods. In order to solve this major concern, a robot is introduced that can detect plant disease using convolutional neural network (CNN), which is a sophisticated image processing algorithm. The one and only method for preventing deficits in agricultural goods quality and amount is to determine actual disease. Plant health monitoring and disease detection are essential for the long agriculture viability. The implemented robot has a solar connection for the battery package, assuring that it has a consistent source of power. The acquired image will be processed, and the classes of the plant are displayed with a local network-based website as an outcome. The website provides detected plant images with the information of disease. Due to the focus on the agriculture, renewable power, and robotics in our work, the robot is named as “AGRENOBOT.”

   DOI: https://doi.org/10.1007/978-981-19-8032-9_50.

   Author: First Author.

   Status: Published.

   Publisher Name: Springer, Singapore.

   Published Date: 03 June 2023.

   Print ISBN: 978-981-19-8031-2

   Online ISBN: 978-981-19-8032-9

   Conference proceedings: The Fourth Industrial Revolution and Beyond (IC4IR)

   Location: Dhaka, Bangladesh.

   Cite as: Forhad, S., Zakaria Tayef, K., Hasan, M., Shahebul Hasan, A.N.M., Zahurul Islam, M., Riazat Kabir Shuvo, M. (2023). An Autonomous Agricultural Robot for Plant Disease Detection. In: Hossain, M.S., Majumder, S.P., Siddique, N., Hossain, M.S. (eds) The Fourth Industrial Revolution and Beyond. Lecture Notes in Electrical Engineering, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-19-8032-9_50.

2. An Intelligent Versatile Robot with Weather Monitoring System for Precision Agriculture
   Abstract:
   This research paper studies the latest advancements in weather monitoring systems and their integration with autonomous robots in precision agriculture. The fundamental purpose of this research is to appraise the effectiveness of diverse systems utilized in modern agriculture, such as watering, pesticide spraying, seeding, obstacle detection and soil analysis. In this regard, the AGRENOBOT, an intelligent robot equipped with an inbuilt weather monitoring system, is introduced as a significant breakthrough in precision agriculture. The robot is highly efficient in planting seeds and spraying pesticides, significantly reducing the need for human labor while minimizing the negative impacts of presticides. The research findings show that the robot can work for about 30 minutes and can plant seeds with 92% precision, which is better that human labor. A web interface is also developed to monitor the seeding, pumping and weather status in real-time, utilizing sensors to measure meterological variables and a linear regression model to predict rainfall. This study concludes that AGRENOBOT is an up-and-coming solution to the agricultural industry's challenges, as it has the potential to increase crop yields and address the need for more food production. Consequently, this study encourage further research and development in precision agriculture. 
   

   DOI: https://doi.org/10.1109/ISCON57294.2023.10112101

   Author: First Author.

   Status: Published.

   Publisher Name: IEEE

   Published Date: 04 May 2023

   Print ISBN: 979-8-3503-4697-8

   Conference: 2023 6th International Conference on Information Systems and Computer Networks (ISCON)

   Location: Mathura, India

   Cite as: S. Forhad, M. S. Hossen, I. A. Ahsan, S. Saifee, K. N. I. Nabeen and M. R. K. Shuvo, "An Intelligent Versatile Robot with Weather Monitoring System for Precision Agriculture," 2023 6th International Conference on Information Systems and Computer Networks (ISCON), Mathura, India, 2023, pp. 1-7, doi: 10.1109/ISCON57294.2023.10112101.

3. Simulated Design of an Autonomous Multi-terrain Modular Agri-bot
   Abstract: 
   Agriculture is the largest engine of economic growth in Bangladesh, providing food for almost half of the population. Fungal diseases in agriculture have a strong influence on producers’ livelihoods. To address this major worry, simulated design of an agriculture robot is presented in this research paper. The primary goal of this initiative was to improve competency in manufacturing agricultural grains, which will eventually lessen food shortages in Bangladesh while saving human labor, time, and money. All structural designs in this study were created in Autodesk Fusion 360 and then implemented in the Webots simulator. Proteus 8.9 Professional was used to model electrical circuits and decision processes, while MATLAB Simulink was used to accomplish a portion of the simulation. The key decision and control system for the entire system is a microcontroller. Irrigation, seed planting, excavating, leveling, automated ploughing, harvesting operation, and obstacle distance assessment are all possible with this designed robot. The simulation data, findings, and limitations were all observed. Based on the results, it is feasible to conclude that this farm robot can effectively enhance efficiency when compared to human labor. As a result of this combined design, Using IoT infrastructure, the operator can carry out several farming activities quite conveniently. The study offered a comprehensive perspective of the prototype architecture that demonstrated how well the farm robot’s functions.
   

   DOI: https://doi.org/10.1007/978-981-99-3932-9_30

   Author: Second Author.

   Status: Published.

   Publisher Name: Springer, Singapore

   Published Date: 06 October 2023

   Print ISBN: 978-981-99-3931-2

   Online ISBN: 978-981-99-3932-9

   Conference: International Conference on Machine Learning, IoT and Big Data | ICMIB 2023: Intelligent Systems pp 339–351

   Location: SARANG, India.

   Cite as: Ahmad, S. et al. (2024). Simulated Design of an Autonomous Multi-terrain Modular Agri-bot. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. ICMIB 2023. Lecture Notes in Networks and Systems, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-99-3932-9_30

    

4.  An on-body antenna for lung cancer detection in X band utilizing Single-Walled Carbon Nanotubes
   Abstract: 
   Body Implantable antenna is a popular method to detect disease within a short time and lower cost. If any disease is detected in the initial stage, then it can be treated easily and save the patient’s life. This research focuses on designing an on-body patch antenna for biotelemetry. Lung cancer is one of the worst diseases that can spread to the body. The main objective of this paper is to detect tumors inside the lung and cancer by the variation of the S1,1 parameter of a microstrip patch antenna using new materials Single Wall Carbon Nanotube. Single Wall Carbon Nanotube is a novel material which has strong thermal and electric conductivity. To reach the goal an on-body microstrip patch antenna has been designed along with three types of lungs phantom models like normal lung, tumor affected lung and cancer cell in the tumor to detect the presence of cancer in lung tumors. The designed lung tumors and cancer detection antenna found in X-Band (10.42 GHz) for wireless communication. In CST Studio Suite, the antenna and three lung phantom models are designed for several required outputs including return loss, Voltage Standing Wave Ratio, Far-field, and Directivity. Return loss was observed to be -59.65 dB for a lung tumor and -36.42 dB for a cancerous tumor when it was -36.75 dB for a normal lung. This antenna has a Specific Absorption Rate value of 0.795 W/Kg, making it bio compactable.
   

   DOI: Yet to publish.

   Author: Fifth Author.

   Status: Accepted & Presented

   Publisher Name: IEEE Xplore, indexed by Ei Compendex and Scopus.

   Published Date: Yet to publish.

   ISBN: Yet to publish.

   Conference: 2023 8th International Conference on Robotics and Automation Engineering (ICRAE 2023).

   Location: Shanghai, China.

   Cite as: Yet to publish.

5. A Dual Axis IoT-Based Off-Grid Solar Tracking System with Wheatstone Bridge for Efficient Energy Harvesting and Management
   Abstract: 
   Addressing the increasing need for sustainable energy solutions, this study presents an advanced dual-axis solar tracking system. By integrating IoT-based intelligent power management and automated panel cleaning, we aim to optimize the efficiency of solar photovoltaic (PV) systems. Our design significantly outperforms traditional fixed PV setups, achieving an average voltage improvement of about 18.59% throughout the day. Real-time data monitoring showcases the system's adaptability, with Solar Voltage (SV) and Solar Current (SC) standard deviations recorded at 1.059 and 0.058, respectively. This system not only captures sunlight more efficiently but also ensures self-maintenance, reducing manual intervention. The integration of IoT capabilities provides real-time feedback and adaptability. In the backdrop of global energy challenges, especially post-COVID-19, our innovative approach to solar energy promises reduced environmental impact and utility costs.
   

   DOI: Yet to publish.

   Author: First Author.

   Status: Accepted.

   Publisher Name: IEEE Xplore.

   Published Date: Yet to publish.

   ISBN: Yet to be published.

   Conference: The National Power Electronics Conference (NPEC 2023)

   Location: Indian Institute of Technology, Guwahati, India.

   Cite as: Yet to publish.

6. DeepSegRecycle: Deep Learning and Image Processing for Automated Waste Segregation and Recycling
   Abstract:
   Effective waste management is a critical issue for sustainable development, and automated waste segregation and recycling systems can potentially revolutionize how we handle waste. This study introduces DeepSegRecycle, a unique approach that autonomously separates and recycles garbage using deep learning and image processing techniques. Our system is appropriate for adoption in various situations, including developing nations with insufficient waste management infrastructure, since it is portable, user-friendly, and economical. We reviewed our system's technical specifics, including how convolutional neural networks classify garbage and how an Android-controlled app is integrated for seamless operation. We also provide the findings from our performance evaluation of the system, which show its great precision and effectiveness in waste sorting and recycling. Our study emphasizes the promise of deep learning and image processing techniques for solving the worldwide waste management problem. It contributes to the growing body of literature on automated waste management systems. By lowering the quantity of garbage that goes to landfills and encouraging the circular economy, DeepSegRecycle has the potential to improve the environment and human health significantly.

   DOI: Yet to publish.

   Author: First Author.

   Status: Submitted.

   Publisher Name: IEEE Xplore.

   Published Date: Yet to publish.

   ISBN: Yet to be published.

   Conference: 3^rd International Conference on Advancement in Electrical and Electronic Engineering – (ICAEEE 2024)

   Location: DUET, Gazipur.

   Cite as: Yet to publish.

Training:

1. • ASIC PHYSICAL DESIGN (MAY 2023 - AUG 2023)

   Institute: TAHOE – A concern of ULKASEMI Limited

   Topics Covered:

   • Linux
   • Verilog
   • Logic Synthesis
   • Custom Layout
   • LVS (Layout vs. Schematic)
   • Synthesis to RTL Netlist
   • Logic Equivalence Check (LEC)
   • Library Preparation LEF, DEF, GDS
   • Floorplan
   • Placement
   • Clock Tree Synthesis
   • Routing
   • DRC (Design Rule Check)
   • Solving HOLD and CAP Violations.
   • Design For Test (DFT)
   • Static Timing Analysis
   • Engineering Change Order (ECO)
   • Synthesis to STA

   Projects Completed under Training:

   • Physical Design 01

   EDA Tools: Cadence (Genus, Innovus, LEC)

   Technology: 45nm

   Roles and Responsibilities: Synthesis, Floorplan power planning, STA, DRC and LVS, LEC

   • Physical Design with Macro 01

   EDA Tools: Cadence (Genus, Innovus, LEC)

   Technology: 45nm

   Gate Count: 24k

   Macros: 2

   Roles and Responsibilities: Synthesis, Floorplan power planning, timing closure responsible for block level, Timing, DRC, LVS, LEC.

   • Physical Design with Macro 02

   EDA Tools: Cadence (Genus, Innovus, LEC)

   Technology: 45nm

   Gate Count: 64k

   Macros: 4

   Roles and Responsibilities: Synthesis, Floorplan power planning, timing closure responsible for block level, Timing, DRC, LVS, LEC.

    

   • WICRESOFT - MICROSOFT EXCHANGE ONLINE (JAN 2023 - MARCH 2023)

   Institute: Wicresoft – A concern of  Wicrecend, Shanghai, China.

   Topics Covered:

   • Manage Office 365 as an independent admin.
   • Manage active users and accounts.
   • Analyze security vulnerabilities.
   • Configure policies to protect the environment & Anti-Spam protection.
   • Recover deleted items in a user's mailbox.
   • Create and update group creation, expiration, and naming policies.
   • Create, edit, delete, and restore Azure Active Directory, security groups.
   • The Workplace Basic Safety Training

   Institute: Samsung C & T Training Academy

   Duration: Day Long Training, In-House.

Extracurricular Activities:

1. Member of AIUB Community of Engineering Students (ACES)
2. Member of Engineering Student Association of Bangladesh (ESAB)
3. Student Member of IEEE AIUB Student Branch
4. Associate Member - United Nations Youth and Student Association of Bangladesh - 15th Batch.
5. Campus Ambassador for SONGKOLPO Foundation
6. Youth Ambassador for Youth School for Social Entrepreneurs (YSSE)
7. Volunteer Organizer at Bangladesh Innovation Summit
8. Volunteer at OBHIZATRIK Foundation
9. Volunteer at Moyurponkhi Foundation