Electrical & Instrumentation Engineering

(A) BIOMEDICAL PROGRAM

EL Coordinators:Dr. Bikramjit Sharma, Dr. Sayan Sadhu and Dr. A.M. Gadade

Semester 1: Arduino Based Embedded System

During the first semester, the students have little exposure to circuit design. The students were introduced to primary circuit designing elements like a breadboard, resistance, and Arduino. Students were asked to use a pressure sensor and create a circuit for GAIT analysis. Apart from understanding the use of pressure sensors, students were asked to present a biomedical engineering problem and devise a solution based on the knowledge gained during the activity. The use of a plantar pressure mat for GAIT analysis was demonstrated.

Faculty Facilitator

Dr. Deba Prasad Dash

Dr. Jainy Schadeva

Dr. Sanjeev Aggarwal

The basic outline of the activity is:

To introduce the students to the engineering concepts of circuit design, application of pressure sensor to solve biomedical problems
To induce self learning in the students about finding biomedical problems, determining objectives and solving the problem with the help of arduino, sensor and other circuit components.
To induce the culture of engineering design through a design challenge to meet a social need.

Semester 2: IOT Based Home Automation

Participants will gain a solid understanding of the fundamental concepts of IoT, including sensor technology, connectivity, and data transmission. Participants will have practical, hands-on experience working with IoT devices. This includes setting up sensors, connecting devices to a central hub, and troubleshooting common issues. Participants will apply their knowledge by designing and implementing a basic home automation system using IoT principles. This may involve tasks such as automating lighting, temperature control, or security features.

Faculty Facilitator

Dr. Souvik Ganguli

Dr. Anterpreet

Dr. Santosh Sonar

The basic outline of the activity is:

The IOT based home automation system is planned to make students learn and understand:

Core Concepts of IoT
Hands-On Experience with IoT Devices
Designing and Implementing an IoT based lighting system.

After completion of the activity the students will be able to:

By completing this project, participants will showcase their ability to apply theoretical knowledge to real-world scenarios and develop a functional IoT-based home automation system.
Eplain how these elements come together to create a network for home automation.
By the end of the session, participants should feel confident in their ability to work with and deploy IoT solutions for home automation.

Semester 3: Development of Electromyogram (EMG) system using Arduino

Participants will immerse themselves in the development of an Electromyogram (EMG) system using Arduino. They will focus on selecting components and parameter ranges while gaining a profound understanding of EMG signal nuances. Through hands-on experience, they will design circuit layouts tailored to EMG signal processing needs, ensuring effective signal acquisition and processing. The culmination of the activity involves hardware implementation, where participants assemble and integrate the designed system, honing their practical skills in electronics and creating a functional EMG system ready for experimentation.

Faculty Facilitators

Dr. Deepti Mittal

Dr. Anterpreet

The basic outline of the activity is:

Design and Prototyping: Engineers and designers develop a conceptual design based on the research findings. This includes selecting appropriate sensors, amplifiers, signal processing algorithms, and interface options. Prototyping involves creating early versions of the system to test functionality and performance.
Sensor Selection and Integration: EMG sensors are critical components of the system. These sensors detect and measure the electrical activity generated by muscles. Engineers must select sensors that are sensitive, reliable, and suitable for the intended application. Integration involves designing the interface between the sensors and the signal processing components of the system.
Signal Conditioning and Processing: Raw EMG signals are often weak and susceptible to noise. Signal conditioning circuits are used to amplify, filter, and preprocess the signals to improve their quality and make them suitable for analysis. Signal processing algorithms may also be applied to extract relevant information from the EMG signals, such as muscle activity patterns and force generation.
Interface and User Experience Design: The EMG system typically includes a user interface for controlling the device and visualizing the recorded data. Designers focus on creating an intuitive and user-friendly interface that allows researchers or clinicians to easily set up experiments, adjust parameters, and interpret results.
Testing and Validation: Extensive testing is conducted to evaluate the performance, accuracy, and reliability of the EMG system. This includes laboratory testing using simulated muscle activity as well as real-world testing with human subjects. Validation studies may compare the EMG system"s measurements against established reference standards to ensure accuracy

Semester 4: Robotics ARM Control

This activity focuses on controlling a robotic arm, covering the assembly, simulation, and hardware implementation. Students explore applications, trajectory tracking, assemble hardware, and optimize the arm"s function.

Faculty Facilitator

Dr. Sahaj Saxena

Dr. Sandeep Panday

Dr. Vikram Chopra

The basic outline of the activity is:

Identify a robotic arm for specific application, including trajectory design.
Understand kinematics and degrees of freedom of robotic arm.
Simulate the robotic arm for specific application.
Assemble the robotic arm hardware and interface with Arduino.
Implement the designed application on the robotic arm.
Run and optimize the application for efficient operation

Semester 5: Brain Tumor Segmentation using UNET

The objective of this activity is to expose students to the basics of deep learning for medical image analysis. Students learn Google Colab, python, tensor flow, UNET, and medical image interpretation.

Faculty Facilitator

Dr. Vishal Srivastava

Dr. Deba Prasad Dash

The basic outline of the activity is:

To develop a robust UNET-based deep learning model for accurate and efficient segmentation of brain tumors from magnetic resonance imaging (MRI) scans.
To validate the developed UNET model in terms of performance metrics.
To explore methods for handling class imbalance in tumor segmentation tasks, ensuring a balanced representation of tumor and non-tumor regions in the training dataset.

(B) ELECTRICAL ENGINEERING PROGRAM

EL Coordinators: Dr. Nirbhow Jap Singh and Dr. Sridhar Joshi

Semester 1: Temperature-based Fan speed control and monitoring using Arduino

Controlling and monitoring fan speed based on temperature using Arduino is a common project in the realm of home automation. This activity is designed to simulate on Tinkercad a Temperature-based fan speed control and monitoring using Arduino. Students are required to simulate temperature-based fan speed control and monitoring using Arduino on Tinkercad online platform.

Faculty Facilitator

Dr. Shakti Singh

Dr, Saurabh Shukla

The basic outline of the activity is:

The outcome of the temperature-based fan speed control and monitoring activity using Arduino is to create a system that automatically adjusts the speed of a fan based on the temperature readings from a sensor.
Temperature Monitoring: The Arduino continuously reads temperature data from the connected sensor.
Fan Speed Control:
If the temperature falls below a predefined minimum threshold (MIN_TEMP), the fan is turned off to conserve energy.
If the temperature is within the acceptable range (MIN_TEMP to MAX_TEMP), the fan speed is adjusted proportionally to the temperature. As the temperature rises within this range, the fan speed increases gradually.
Energy Efficiency: By controlling the fan speed based on temperature, the system optimizes energy consumption. The fan operates at higher speeds only when necessary, reducing power usage during periods of lower temperature.

Semester 2: IOT Based Home Automation

Faculty Facilitator

Dr. Surya Prakesh

Dr. Souvik Ganguli

Dr. Santosh Sonar

The basic outline of the activity is:

The IOT based home automation system is planned to make students learn and understand:

Core Concepts of IoT
Hands-On Experience with IoT Devices
Designing and Implementing an IoT based lighting system.

After completion of the activity the students will be able to:

Eplain how these elements come together to create a network for home automation.
By the end of the session, participants should feel confident in their ability to work with and deploy IoT solutions for home automation.
By completing this project, participants will showcase their ability to apply theoretical knowledge to real-world scenarios and develop a functional IoT-based home automation system.

Semester 3: DC Motor rewinding and testing of performance characteristics

In this activity, the participants engage in hands-on activities related to rewinding and testing DC motors. This activity involves disassembling, rewinding, and reassembling DC motors under supervision. The participants learn about the components of a DC motor and how they contribute to its performance. Various tools and equipment are provided for the rewinding and testing process. The activity aims to provide a practical understanding of DC motor operation and maintenance.

Faculty Facilitators

Dr. Manbir Kaur

Dr. Krishna Kr. Gupta

Dr. Rajesh Pindoria

The basic outline of the activity is:

To familiarize participants with the internal components of a DC motor.
To teach participants the process of rewinding a DC motor coil.
To demonstrate how to test the performance characteristics of a DC motor, including voltage, current, speed, and torque.
To provide hands-on experience in troubleshooting common issues with DC motors

Semester 4: Robotics ARM Control

Faculty Facilitator

Dr. Sahaj Saxena

Dr. Sandeep Panday

Dr. Vikram Chopra

Dr. Amit Kumar

The basic outline of the activity is:

Identify a robotic arm for specific application, including trajectory design.
Understand kinematics and degrees of freedom of robotic arm.
Simulate the robotic arm for specific application.
Assemble the robotic arm hardware and interface with Arduino.
Implement the designed application on the robotic arm.
Run and optimize the application for efficient operation

Semester 5: Design and Control of 1-Phase Converter

The objective of this activity is to expose students to the basics of designing a full fledged inverter system. The activity includes mathematical modelling, simulation, component selection and fabricating the converter on the general purpose board. Controlling of the converter is performed using phase control technique. Pulse Width Modulation (PWM) based control technique is also introduced in the activity.

Faculty Facilitator

Dr. Manoj Badoni

Dr. Yogesh Tatte

Dr. Sridhar Joshi

The basic outline of the activity is:

To understand the working of 1-Phase inverter
To understand application specific control techniques of the inverter
Modelling and analysis of converter
To apply various PWM techniques to the real time converter based applications

Semester 1: Arduino Based Embedded System

During the first semester the students have little or no knowledge of embedded systems, so the students are given a task to design a sensor based embedded system using the Arduino platform. In this engagement students, in groups, are given sensors like LED, temperature sensor TMP36 and a DC motor to act as an actuator. They design an embedded system by first simulating the circuit in tinkercad and then interface the given sensors and actuators to the arduino board to implement the design circuit.

Faculty Facilitator

Dr. Gagandeep Kaur

Dr. Swati Sondhi

Dr. Ravindra Kaur

The basic outline of the activity is:

Familiarization with Tinkercad Software

Simulating the basic activity such as LED blinking system and temperature measurement by using Temperature sensor TMP36 on Tinkercad software .
Simulating the speed control of DC motor on Tinkercad software .
Simulating the overall system: Temperature based DC motor speed control and monitoring on Tinkercad software .

Implementation of System on Arduino Uno

A hands on experience of interfacing real time sensors to the embedded system
Make arrangement of Arduino board (14 digital I/O pins, 6 Analog I/O pins), breadboard, potentiometer, resistor, DC motor, temperature sensor and Display LCD.
Implement Temperature based DC motor speed control and monitoring system on Arduino board.

Semester 3: Smart Security System

The goal of this activity is to expose the students to obtain the knowledge about implementing a home security system. The students will learn the basics of image capture using a webcam with the help of python codes and necessary packages. The activity introduces the classification of humans, pets and objects in the images using appropriate python packages. If an intruder is detected, the user will receive a whatsapp image message. The activity ends with some open challenges of scaling up the system with multiple feeds, using advanced algorithms etc.

Faculty Facilitators

Dr. Ruchika

Dr. Venkata Karteek

Dr. Suman Bhullar

The basic outline of the activity is:

Get familiarized with Python, OpenCV, Pywhatkit etc.
Capturing images and storing them for further analysis.
Efficient utilization of storage space for recording security videos

Semester 4: Robotics ARM Control

Faculty Facilitator

Dr. Sahaj Saxena

Dr. Sandeep Panday

Dr. Vikram Chopra

The basic outline of the activity is:

Identify a robotic arm for specific application, including trajectory design.
Understand kinematics and degrees of freedom of robotic arm.
Simulate the robotic arm for specific application.
Assemble the robotic arm hardware and interface with Arduino.
Implement the designed application on the robotic arm.
Run and optimize the application for efficient operation

Semester 5: Design and Implementation of Signal Conditioning and Data Acquisition System for a Process

In this activity, the students will design and develop an analog signal conditioning circuit for the measurement of any physical parameter. Secondly, a digital data acquisition and logging system will be developed for monitoring online parameters of a DC motor such as speed, temperature, voltage and current.

Faculty Facilitator

Dr. Nirbhow Jap Singh

Dr. Vikram Chopra

Dr. Ruchika Lamba

The basic outline of the activity is:

Design and development of an analog signal conditioning circuit

This activity included measurement of force using a resistive load cell. The students are assigned the task to:

Prepare a design matrix for sensor selection
Design an analog signal conditioning circuit using Multi-Sim software
Implement the designed system on hardware

Development of data acquisition and logging system for a DC motor

Acquire signals through a microprocessor based DAS and finally analyzing the data using Microsoft Excel
Prepare a comparative matrix for sensor selection to acquire various parameters of a D.C. motor such as temperature, speed, voltage and current
Interface various sensors on the hardware setup of D.C. motor

(D) ELECTRICAL AND COMPUTER ENGINEERING PROGRAM

EL Coordinators: Dr. Nirbhow Jap Singh and Dr. Sridhar Joshi

Semester 1: Arduino Based Embedded System

DC Motor has a lot of applications in the control system, robotics, industrial, and power system. An Arduino-based embedded system is the industry’s most popular method of controlling DC motor speed. Therefore, this project requires hardware design and implementation of controlling the angular speed of the DC motor in Arduino Uno as its embedded processor system. In this activity, students learned about the working of DC motors and their control using simulation on TinkerCad and they later designed their hardware and operated a DC motor at different speeds. The variation in speed is observed on LCD displays using Tinkercad software. Students have learned the same and discussed their observations with their group mates in the presence of a faculty expert.

Faculty Facilitator

Dr. Alok Kr. Shukla

Dr. Pawan Kumar

Dr. Ashish Soni

The basic outline of the activity is:

To introduce the student to basic concepts of electrical and computer engineering for the speed control of the speed of a DC motor
To inculcate a spirit of self-learning about the working and operation of DC motors
To learn about the real-time application of DC motors for industrial applications.

Semester 2: IOT Based Home Automation

This activity focuses on development of IoT based home automation applications covering all essential aspects such as developing understanding of different microcontroller boards (Arduino UNO, Arduino MKR wifi 1010 module and ESP2), interfacing task-specific sensors and using cloud for remote control.

Faculty Facilitator

Dr. Ashish Kr. Gupta

Dr. Mukesh Dalal

Dr. Nitin Narang

The basic outline of the activity is:

Explore capabilities of microcontrollers ( Arduino MKR wifi 1010 module) for IoT Applications..
To interface different sensors with development boards.
Design a prototype that establishes wireless remote control for application based on real-time home automation.

Semester 3: Gaming and Animation

The goal of this activity is to expose the students to the basic skills of building augmented reality based applications and developing professional games. The activity is designed to give students a thorough understanding of the software, tools, and methods used in making gaming and animation. The participants are introduced to the basic components of Unity Software for creation of distinct 2D or 3D animation, visual effects, game design, character design, programming, and game engine technologies.

Faculty Facilitators

Dr. Ashish Kr. Gupta

Dr. Mukesh Dalal

Dr. Ravindra Kaur

The basic outline of the activity is

To introduce students to the domains of virtual reality, computer graphics, and augmented reality.
To provide students with hands-on experience on development of different 2D or 3D games
To inculcate the ability to think critically, creatively, and independently, and to work effectively in a team

After completion of the Activity the student will learn:

About the principles of game design and animation, including game mechanics, character design, and animation techniques.
To build their own individual games.
Critical thinking and problem solving skills of the participants can be improved

Semester 4: Robotics ARM Control

Faculty Facilitator

Dr. Sahaj Saxena

Dr. Sandeep Panday

Dr. Vikram Chopra

The basic outline of the activity is:

Identify a robotic arm for specific application, including trajectory design.
Understand kinematics and degrees of freedom of robotic arm.
Simulate the robotic arm for specific application.
Assemble the robotic arm hardware and interface with Arduino.
Implement the designed application on the robotic arm.
Run and optimize the application for efficient operation

Semester 5: Text Summarization System

Text summarization can be accomplished through various methods, including extraction-based summarization, abstraction-based summarization, and hybrid methods that combine the two. Extraction-based summarization involves selecting and combining the most important sentences or phrases from the original text. In contrast, abstraction-based summarization generates a new, condensed representation of the text that summarizes its main ideas and concepts. In conclusion, text summarization systems play a crucial role in today's information-rich world by reducing text to a more manageable size and presenting the essential information and main ideas in a condensed form. By improving efficiency, increasing comprehension, improving information retention, facilitating effective communication, and supporting better decision-making, text summarization systems have the potential to impact a wide range of applications and industries significantly.

Faculty Facilitator

Dr. Alok Kr. Shukla

Dr. Ashish Soni

The basic outline of the activity is:

Improved Efficiency: By reducing text to a more manageable size, text summarization systems can save time and improve efficiency in reading and understanding the content. This is especially important for large and complex documents that may be difficult to digest in their original form.
Increased Comprehension: By focusing on the essential information and main ideas in a text, text summarization systems can help improve comprehension and understanding of the content.
Better Information Retention: By presenting information in a condensed and easily digestible form, text summarization systems can help improve information retention and recall.
Effective Communication: Text summarization systems can help communicate more effectively by reducing information overload and ensuring that the essential information is conveyed to the recipient.
Improved Decision-Making: By providing a condensed representation of important information, text summarization systems can help improve decision-making by making it easier to understand and analyze complex information