Sunjida Mushfiq Nova

Sunjida Mushfiq Nova

Educational Qualifications:

 Job Experience: 

Publications:

1. Working on a project (From 2nd October 2022 to till Now) named “Energy-efficient heating ventilation and air conditioning (HVAC) system for smart buildings using machine learning” with Colonel Molla Md Zubaer (Head of the Nuclear Science and Engineering Department)and Lieutenant Colonel Faisal Kader (Associate Professor of Nuclear Science and Engineering Department).
   Abstract:
   Energy conservation is a critical issue, particularly in manufacturingindustries with intensive energy usage. Heating, ventilation and air conditioning (HVAC) systems supply fresh air and condition the indoor air temperature and humidity of a building. HVAC systems were invented to improve human thermal comfort. For any HVAC system, it is important to minimize the power consumption. HVAC systems normally consist of components to supply, filter, heat, cool and distribute the conditioned air into targeted interior spaces.  In an HVAC system, the principle: ‘the whole is more than the sum of its parts’ is applied. This means the high-efficiency of one component can operate at expense of the others.  It is ASHRAE’s position that provision of acceptable IAQ (Indoor Air Quality) is an essential building service and that all decisions about buildings and heating, ventilating, and air-conditioning (HVAC) systems must consider the implications for IAQ. This position holds for all building types, including sustainable and resilient buildings where measures have been taken to reduce environmental impacts and energy use. However, the conventional method of controlling the AC may not ensure a thermally suitable indoor environment, and users' choices for excessive cooling may have had a negative impact on the health of the occupants. To overcome these highly critical issues, a microcontroller-based system is proposed that can control the AC to provide a thermally comfortable environment based on the ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) standard. To develop the system, some hardware like Arduino Uno ATmega328P microcontroller board, DHT11 (Temperature and humidity sensor), PIR sensor, servo motor and the Air conditioning vents are used. The proposed system is implemented through an embedded system by using the Arduino IDE programming language. An algorithm of the suggested system has been designed and built for the expected temperature data using the values of the two sensors, and a mathematical formula can be deduced from the data. The sensors are used to detect temperature, humidity, motion and in response to the accumulated data the AC turns on/off automatically. Any smart AC room that allows for the automatic on/off of the AC system based on the projected temperature can be equipped with the proposed system. This model could be used in any location, including places for disabled people, private rooms, conference rooms, public spaces, classrooms, and vehicles where it is impractical to manually manage the AC. The proposed model is designed to minimize the energy consumption with optimum human thermal comfort.
   
   
2. Design and Implementation of an Autonomous Balancing Cube” Published in: 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), DOI: 10.1109/ICICT4SD59951.2023.10303485
   Shaiyek Md. Buland Taslim; Dewan Mabrur Hasan Chowdhury; Sunjida Mushfiq Nova; Abdul Hasib Siddique;
   Abstract:
   This paper presents the modeling and implementation of an autonomous self-balancing cube which can maintain balance itself on a platform. This autonomous system performs as a tangible demonstration of modern engineering with the amalgam of control theory and intelligent decision-making. This self-balancing cube utilizes sensors, actuators, and a PID controller to achieve and maintain the balance where the PID controller continuously monitors the cube's position through sensor feedback and makes precise adjustments to counteract deviations from the desired equilibrium. This implemented device is showcasing a real-life application of PID control and offering insights into the development of advanced control algorithms for autonomous systems.
   
   

Training:

1. Attended TRAINING PROGRAMME ON “MEDICAL IMAGING AND RADIOTHERAPY” Organized by Military Institute of Science and Technology (MIST) started on 25th October and ended on 1st November 2022.
   
   
2. Successfully attended “INTERMEDIATE ROBOTICS” - 2 months course, organized by Robotics and Automation Group, EWU in association with ESAB-EWU Unit Face.
   
   
3. Built a Prototype on “Micro-controller Based Wheelchair for disabled People” during the undergraduate level.

Extracurricular activities:

1. Worked as a Vice-Chair at IEEE EWU Student Branch from 22n d May 2017 to 5 th April, 2018.
2. Actively worked with Ewu Robotors Group, East West University from September 2015.
3. Worked as volunteer at the biggest event of “IEEE DAY-2016”, Held on October 27, 2016, Organized by IEEE Club, East West University.
4. Worked as volunteer at the biggest event of “CSE 20 YEARS CELEBRATION”, Held on November 22, 2016, Organized by Computer Science and Engineering Department. Secured Second place in Project showcasing at CSE FEST 2016.
5. Advisor, Mechatronics Club - June 11, 2023 to till now at The University of Scholars.