As transistors shrink, tackling low-voltage operation challenges in Static Random Access Memory (SRAM) becomes crucial. Lower voltages are vital for power savings and efficiency, but they also bring noise, stability, and reliability issues to sense amplifiers. This paper presents the development of a Modified Double Tail Strong-Arm Latch Body Biased Sense Amplifier with Automatic Offset Calibration, designed for robust low-voltage operations in SRAM architectures. This design integrates a pre-amplification stage that effectively mitigates offset voltage issues and incorporates a self-timed regenerative latch that simplifies the timing logic, thereby enhancing performance. Through simulation results obtained using a 45nm CMOS process, this design demonstrates substantial improvements in sensing delay (~170pS), a significant reduction in minimum operational voltage (0.5V @1GHz), and reduced offset voltage (2.26uV) compared to conventional sense amplifier designs. This research not only advances the technology of sense amplifiers but also contributes to the broader goal of achieving high-accuracy, low-power memory systems suitable for the next generation of electronic devices.

(ResearchGate)

We designed our Nao robot so that it could interact with people and measure their engagement with the robot based on different types of feedback. It did so by playing two games: Charades and a Color Game. While playing these games, the robot gave the person immediate feedback based on their interactions. There were two types of feedback given: Constructive feedback and Corrective feedback. Constructive feedback uses positive reinforcement of what is going well with a project or task. Corrective feedback, on the other hand, is used to intervene in a person’s learning process to help them correct mistakes and improve performance. To analyze the interaction, in essence, we based the experiment on preset performance metrics to measure the person’s engagement with the robot based on the two types of feedback while playing the games by having the person take a simple survey afterward and measuring key variables, described in detail in the following sections. We analyzed which type of feedback people respond better to. This project is important because it explores how Human-Robot Interaction can influence a person’s emotional response. Understanding how different feedback styles impact a person’s engagement and enjoyment is crucial and can inform the design of future educational or therapeutic robots. Hypothesis: Participants receiving constructive feedback from the NAO robot will exhibit higher levels of engagement and performance compared to those receiving corrective feedback.

(ResearchGate)

Arrhythmia is a life-threatening cardiac condition that needs immediate treatment. The electrocardiogram (ECG) is a well-established signal that is used to help in the diagnosis of arrhythmias in the heart. The detection of arrhythmias from an ECG signal often involves the consultation of a cardiologist with specialized training. In addition, it is a time-consuming technique. Automatic arrhythmia identification and classification are becoming increasingly widespread as a consequence of these advancements. Recent years have seen an increase in the investigation of arrhythmia classifiers that are based on machine learning. A novel feature termed time-multiplexed fast Fourier transform (TMFFT), which offers useful information for classification, was proposed in this study. We also developed an ensembled architecture that uses both raw ECG and TMFFT as input. Compared to current approaches, our model outperforms them and is better suited for commercial applications.

(ResearchGate | YouTube)

We have to design the electrical layout for a multi-storied building with the necessary calculations. This was our group project for the course EEE 414 titled, Electrical Service Design. 

(ResearchGate)

We have to design a smart car parking system with a billing system. We would have to create accounts for recurrent users and add a post-payment system for users. All users must have a login password to enter. To accomplish the given task, we need to use the car's license plate number as an account ID. Input a password for entry. After the input of each car number, it puts the car number into the register. Make a post-payment or pre-payment option for users and also keep track of spots. 

(ResearchGate | YouTube)

This was our group project for the course EEE 456 titled, VLSI 1 circuit design laboratory in the level 4 term 1. In this project, we designed a Configurable Logic Block (CLB) Using CMOS Logic Family in Cadence Virtuoso. I actively participated specially in designing the Layout and combining the results. 

(ResearchGate | YouTube)

This was our group project for the course EEE 416 titled, Microprocessor and embedded system laboratory in the level 4 term 1. In this project, we designed a real-time speech to braille converter using google's API and STM32 board. 

(ResearchGate | YouTube)

This was an individual assignment for the course EEE 415, Microprocessor & Embedded Systems in level 4 term 1.

(ResearchGate | YouTube)

This was our group project for the Course EEE 318 titled, Control System 1 Laboratory. In this project, we reviewed a proposed design for the ventilator and proposed a better design for this purpose.

(ResearchGate)

This was our group project in level 3 term 2 for the course EEE 304 titled, Digital Electronics Laboratory. In this project, we proposed a simple hexadecimal password-based lock system. 

(ResearchGate | YouTube)

This was our group project in level 3 term 1 for the course EEE 312 titled, Digital Signal Processing 1 Laboratory. In this project, we analyzed ppg datasets to determine the heartbeat and heart condition of patients

(ResearchGate)

In this group project, we have constructed an Amplitude modulation and demodulation circuit. Amplitude modulation is used in the real world for the transmission of message signals over long distances with minimum distort 

(ResearchGate | YouTube)

This was a group project. This report discusses the process of improving the non-linear Power Factor, by reducing the harmonics distortion of the system. Poor Power Factor increases electricity losses, unnecessary effects in the system, overheating of the transformers, and poor power on the supply side. As civilization is getting more and more modernized day by day, more and more nonlinear (active) devices are being used in the power system, and more harmonic distortion is occurring. So Power factor correction is a must to reduce such negative effects. We proposed a system that can reduce harmonic distortion at resistive load to any extent and a certain level in case of inductive or capacitive load. We focused on the condition of making the input current waveform as sinusoidal as possible by tuning the circuits. All the necessary theories related to this project and simulations and experimental results are added in this report.

(ResearchGate)

In this group project, we implemented Wye-Delta Starter for induction motor in hardware. This was our group project for the energy conversion lab (EEE 206) in level 2 term 2. 

(ResearchGate)