Hamsa S

@jyothyit.ac.in

Associate Professor, Department of Electronics and Communication Engineering
Jyothy Institute of Technology, Bangalore

Hamsa S


                     Download Compact PDF  
https://researchid.co/hamsagudibande
Dr. Hamsa S, Associate Professor in the Department of Electronics and Communication Engineering, received her bachelor’s degree in Electronics and Communication Engineering from Global Academy of Technology, Bangalore, M.Tech in Embedded systems and VLSI Design from JSS Academy of Technical Education, Bangalore affiliated to Visvesvaraya Technological University, Karnataka in 2007 and 2012 respectively. She has completed her PhD from Jain University, Bangalore with her research area being Memory Design using VLSI. She has 1 year of Industry experience and 12 years of academic experience. Her research interests include VLSI Design, FPGA Design, Computing systems, RF Communication and Embedded Systems. She has published 15 research papers in various International journals and international conferences. She is life member in IAENG, IFERP.

EDUCATION

PhD from Jain University
M.Tech from VTU
B.E from VTU

RESEARCH INTERESTS

VLSI Design, Embedded Systems, Cognitive Science, Remote Sensing
14

Scopus Publications

Scopus Publications

  • Smart Glasses with Face Recognition for Enhancing Social Interaction and Healthcare Support
    Asha Bharathi S, Hamsa S, Y P Sriranga Rao, Sinchana K S, Rukmini B M, Yashas M H
    2025 5th Asian Conference on Innovation in Technology Asiancon 2025, 2025
    This paper introduces a face recognition smart glass system that is lightweight and can detect faces and respond within seconds. The ESP32-CAM module is utilized for image capture, which is initiated automatically with a motion sensor (PIR), sound sensor, or manually. An image's uploaded data is processed with the MobileNetV2 feature extractor using backend Fast API and face detection through Haar Cascade. Once the processing is complete, the results are displayed both visually and through audio on an app built with Flutter, after being sorted by the K-nearest neighbor algorithm. The system offers two modes of operation— detection and test mode, both of which are user controllable. Additional features such as supporting multiple face recognition, voice-based commands, and push notifications are to be supported in the future to make the experience more dynamic and personalized.
  • Development of artificial intelligence of things and cloud computing environments through semantic web control models
    B. Revathi, S. Hamsa, Nazeer Shaik, Susanta Kumar Satpathy, Hari, Sureshkumar Myilsamy
    Emerging Technologies for Securing the Cloud and Iot, 2024
    This chapter delves into the integration of artificial intelligence of things (AIoT) with cloud computing environments, facilitated by semantic web control models. It explores how leveraging semantic technologies can enhance the interoperability, intelligence, and efficiency of AIoT systems within cloud infrastructures. The chapter begins by elucidating the foundational concepts of AIoT, cloud computing, and the Semantic Web. It then discusses the challenges associated with integrating AIoT devices and cloud platforms, such as data heterogeneity, interoperability issues, and security concerns. Next, it presents various semantic web control models and their applicability in AIoT-cloud integration, including ontology-based reasoning, knowledge representation, and semantic interoperability standards. Furthermore, the chapter analyzes case studies and practical implementations showcasing the benefits of employing Semantic Web control models in AIoT-cloud environments. Lastly, it outlines future research directions and potential advancements in this burgeoning field.
  • IoT-Driven Civil Engineering Solutions for Smart Integrated Agriculture in Controlled Environment
    S. Hamsa, S. Asha Bharathi, C. R. Ganesh
    Lecture Notes in Civil Engineering, 2024
  • Green Steel: A Sustainable Solution for Low-Carbon Building Construction
    S. Asha Bharathi, S. Hamsa, C. Bhargavi
    Lecture Notes in Civil Engineering, 2024
  • Enhancing Glaucoma Diagnosis with CNN Models-A Vision-Centric Approach
    Asha Bharathi S, Hamsa S, Nikshitha S, Navya P Vernekar, Shankara C
    2024 IEEE 2nd International Conference on Emerging Trends in Engineering and Medical Sciences Icetems 2024, 2024
    In the absence of early diagnosis and treatment, glaucoma, a chronic eye disease, can be a cause of vision loss. Given this, timely and correct diagnosis of glaucoma is of utmost importance. Automated glaucoma detection has gained a lot of traction in the past few years due to the advancement in deep learning based methods. In this study, we proposed a vision-based CNN model for detecting the glaucoma in patients. The dataset comprised retinal images obtained from ACRIMA which consists of 3 different types of datasets. The images were then classified as glaucomatous and normal images based on the results of the CNN model which was trained using a binary classification mechanism. Several aspects of the model's performance were examined in detail and the more prominent features acquired by the convolution neural network were noted. Circumstantial evidence was also sufficient to indicate their relevant efficacy as an assistive device for glaucoma detection. We investigated the proposed method's parameters with respect to the confusion matrix for performance assessment revealing that it can be successfully used in the clinics with better accuracy, sensitivity, and specificity metrics.
  • Monitoring of Smart Greenhouse Using Internet of Things (IoT)
    S. Asha Bharathi, B. Meghana, S. Meghana, M. Akshatha, S. Hamsa
    Lecture Notes in Civil Engineering, 2024
  • COVID-19 Effect on India's Business Utilizing Online, Blockchain, or AI Algorithms
    Hamsa S, Bhuvana J
    2023 International Conference on Artificial Intelligence and Smart Communication Aisc 2023, 2023
    The COVID-19 illness primarily carried by a Corona viral, commonly known as SARS-CoV-2. The rapid pace of such a drug's growth over six of the seven planets, except South, was already reported. Ever since it appeared, it has caused serious damage for many sectors and didn't harm the luxury goods sector. A major gate as in transition is opened by the epidemic. The COVID-19's effects on the Indian economy are negative. A old company concept needs to evolve to meet the demands of present.Through a clever absorption of internet media, method, & aptitude in any point & activity, the change as in setting of online is witnessed in all areas, i.e., in society, organisation, or in the exactness like an organisation, only in companies, or in the environment. Technology is used in conjunction with industry 4.0 (also known as DX or DT) to generate value for key parties (users in the totality), and to develop and gain the capacity for quickly adapting to situations which are altering.Any item or service may now be marketed but also advertised to customers online thanks to change carried out in a data - driven method, which has done away with the need for external middlemen. A large number of firms are impacted by COVID-19 since it has an impact to the entire globe and causes social estrangement with customers. In light of social distance, a wide range of sectors and businesses will be impacted. In this research, the idea of digitisation is proposed as a projected way through. Social distance may alter the characteristics or the purchasing habits. This study is being done to determine how it COVID-19 problem will affect consumer purchasing habits. By using internet tactics and strategies, consumers are shifting the way that merchandise and services are traditionally purchased. As per research, the digital advertising framework has permeated our imagination for acquiring the ways that are best for selling from several top-performing businesses.Only thing changing in regard of consumer purchase intention following COVID-19 recuperation would be the sales for items, which will mostly stay same with. Consumers will develop the buying habit so as protection, physically or straight from creators.
  • The Traffic-Aware Scatter Net Scheduling (TAAS) for Multicast Wireless Protocols
    Hamsa S, Devaraj Verma C
    2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2023, 2023
    The Traffic-Aware Scatter Net Scheduling (TASS) algorithm is an advanced scheduling strategy designed to reduce the latency of the data transmission in wireless networks. It is a hybrid technique that combines both the advantages of a random-access scheduling scheme and a deterministic scheduling scheme. The TASS algorithm is based on two main components: the "scatter" and the "aware." The scatter part of the algorithm randomly assigns nodes to different time slots, while the aware part of the algorithm takes into account the current network traffic. By using the aware part of the algorithm, the TASS algorithm can schedule transmissions in such a way that it reduces the latency of data transmission. The main advantages of the TASS algorithm are its ability to reduce the latency of data transmission and its flexibility in adapting to changes in the network traffic. The algorithm is also designed to be resilient to any changes in the network topology, allowing it to quickly adapt to changing network conditions. Furthermore, the algorithm is designed to be energy efficient, as it minimizes the number of control messages that need to be sent and received.
  • Micro-strip Patch Antenna for 5G sub 6 GHz Applications
    Hannah Jessie Rani R, Hamsa S
    International Interdisciplinary Humanitarian Conference for Sustainability Iihc 2022 Proceedings, 2022
    5G communications at frequencies below 6 GHz require a new type of antenna, thus designers have created a wideband microstrip patch antenna (WMP A). To achieve such a broad frequency range, the suggested antenna makes use of a new defective ground structure (DGS). For the antenna to work better, a triangular strip is added to the ground plane. In addition to improve the gain of the microstrip-antenna, the WMP A proposed uses the reflective plate to focus on the side lobes and reduce the creation of the main lobes. The suggested WMP A is designed and built on a FR-4 epoxy substrate, and the inset feed approach is utilised in order to provide the WMP A with its input. Utilizing the CST Microwave Studio Suite, the simulation of the proposed antenna and its subsequent optimization are carried out. The WMP A takes up a minimal amount of space on the substrate, yet it achieves excellent results in terms of gain, directivity, and radiation efficiency. The suggested antenna has a frequency range of 4.93 GHz to 5.765 GHz, which allows it to cover the sub-6 GHz portion of the 5G spectrum ranging from 4.9 GHz to 5.8 GHz. The computed and measured properties of the antenna demonstrate that the this high gain compact WMPA is suitable for the applications operating at frequencies below 6 GHz.
  • Composition of magnetic tunnel junction-based magnetoresistive random access memory for Field-Programmable Gate Array
    S. Hamsa, N. Thangadurai, A. G. Ananth
    Current Science, 2020
    In this study, the schematics for Magnetic Tunnel Junction-Magnetoresistive Random Access Memory (MTJ-MRAM) are designed and simulations are carried out in 45 and 90 nm Complementary Metal-Oxide Semiconductor (CMOS) Very Large Scale Integration (VLSI) technology using analog design environment. Other memory circuits like volatile Static Random Access Memory (SRAM) and non-volatile flash memory are designed and behavioural waveforms verified. The output behavioural characteristics of MTJMRAM are compared with that of SRAM and flash memory. The attributes like power and delay are calculated and compared with SRAM and flash memory circuits. The study was carried out in order to integrate the non-volatile memory with field-programmable gate array (FPGA) architecture and design a nonvolatile memory-based FPGA. MTJ-MRAM shows better performance than volatile SRAM and nonvolatile flash memory in terms of power and delay parameters.
  • Low power device design application by magnetic tunnel junctions in Magnetoresistive Random Access Memory (MRAM)
    S. Hamsa, N. Thangadurai, A. G. Ananth
    SN Applied Sciences, 2019
  • Design of non-volatile phase change memory for architectures
    International Journal of Recent Technology and Engineering, 2019
  • Magnetic tunnel junctions design in magnetoresistive random access memory [MRAM] for FPGA architecture
    International Journal of Engineering and Advanced Technology, 2019
  • A study of semiconductor memory technology by comparing volatile and non-volatile memories
    Journal of Advanced Research in Dynamical and Control Systems, 2018