Iswarya Narayanasamy | Signal Processing | Best Scholar Award

Posted on by Academic achievements

Ms . Iswarya Narayanasamy | Signal Processing | Best Scholar Award 

Research scholar , PSG College of Technology ,India

N. Iswarya is a passionate and dedicated researcher with a strong academic background in Information and Communication Technology. With over 6 years of research experience and 2 years of industry experience in the field of Electronics and Communication Engineering, Iswarya is committed to advancing knowledge and innovation. Currently pursuing a Ph.D. at PSG College of Technology, Iswarya is focused on Radio Resource Management and Machine Learning, aiming to contribute significantly to these cutting-edge fields.

Profile

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Strengths for the Award

  1. Strong Academic and Research Background:
    • N. Iswarya has a robust academic foundation, with a Ph.D. in progress in Information & Communication Technology, an M.E. in Communication Engineering, and a B.E. in Electronics and Communication Engineering. Her academic performance has been consistently strong, with first-class distinctions throughout.
    • Her research experience spans over six years, with a focus on advanced topics like Radio Resource Management and Machine Learning, areas that are highly relevant and impactful in the current technological landscape.
  2. Publications and Conferences:
    • Iswarya has contributed to the academic community through publications in Scopus and SCIE-indexed journals, with citations indicating the relevance and impact of her work. Her research has been presented at several international and national conferences, demonstrating her active engagement in scholarly discourse.
    • The impact factor of her journal publication and the number of citations (24) is commendable, reflecting the recognition of her work in the academic community.
  3. Industry Experience:
    • With two years of industry experience as a Programmer Analyst, Iswarya brings practical insights into her research. Her technical expertise in VB.Net, SQL, and other tools, along with her understanding of business domains like payments and messaging, adds value to her academic pursuits.
  4. Commitment to Continuous Learning:
    • Iswarya has participated in various workshops and faculty development programs (FDPs) at prestigious institutions like IIT Kanpur, IIT Bombay, and others. This commitment to continuous professional development highlights her dedication to staying updated with the latest advancements in her field.

Areas of Improvement

  1. Diversification of Research Output:
    • While Iswarya has a solid number of publications and conference presentations, diversifying her research output into more high-impact journals with broader international recognition could strengthen her profile further.
    • Collaborating with international researchers or expanding her research to include interdisciplinary approaches could enhance the global relevance of her work.
  2. Leadership and Mentorship Roles:
    • Iswarya could benefit from taking on leadership roles in academic projects or mentorship roles for junior researchers. This would not only enhance her profile but also demonstrate her ability to guide and influence the next generation of scholars.
  3. Practical Application of Research:

While her research is highly relevant to current technological trends, demonstrating more tangible real-world applications or industry collaborations could make her work stand out further. This could involve working on projects that directly impact industry practices or contribute to societal challenges.

Education 

Iswarya holds a Ph.D. in Information and Communication Technology from PSG College of Technology, Coimbatore, where she has been pursuing her research since 2018. She earned her M.E. in Communication Engineering from Coimbatore Institute of Technology in 2017 with First Class honors and completed her B.E. in Electronics and Communication Engineering from Sri Krishna College of Engineering and Technology in 2012. Her academic journey began with a Diploma in Electronics and Communication Engineering from Sri Ramakrishna Polytechnic College, where she graduated with First Class honors in 2009.

Experience 

Iswarya has a rich blend of industry and academic experience. She worked as a Programmer Analyst at Scope International Pvt Ltd., a part of the Standard Chartered Group, from 2012 to 2014. Her role involved working on technical domains like VB.Net, SQL, and MVC architecture, with a focus on payments, cash, clearing, and messaging. Currently, she is a full-time Research Scholar at PSG College of Technology, where she is involved in developing simulations, authoring technical documentation, and contributing to research in Radio Resource Management and Machine Learning.

Research Interests 

Iswarya’s research interests are centered on Radio Resource Management, Machine Learning, and their applications in Electronics and Communication Engineering. She is particularly focused on the development of efficient algorithms and simulations that can enhance the performance of wireless communication systems. Her work aims to address critical challenges in spectrum sensing and resource allocation, with a special emphasis on Non-Orthogonal Multiple Access (NOMA) and Cognitive Radios.

Awards 

Iswarya has been recognized for her academic excellence and research contributions throughout her career. She has received multiple awards and honors, reflecting her commitment to her field. Her dedication to continuous learning and professional development is evident through her participation in various workshops, training programs, and faculty development programs.

Publications 

Iswarya has contributed significantly to the academic community with several publications in reputed journals and conferences. Some of her key publications include:

Journal Article: A Survey on Successive Interference Cancellation Schemes in Non-Orthogonal Multiple Access for Future Radio Access in Wireless Personal Communications (2021) Cited by 24 articles.

Conference Paper: Spectrum Sensing Based on Cascaded Approach for Cognitive Radios in International Conference on Artificial Intelligence, Smart Grid, and Smart City Applications: AISGSC 2019.

Conference Paper: A study on the adaptability of deep learning-based polar-coded NOMA in ultra-reliable low-latency communications in Applied Information Processing Systems: Proceedings of ICCET 2021 Cited by 2 articles.

Conference Paper: Deep Reinforcement Learning based Resource Allocation in NOMA in International Conference on Intelligent Innovations in Engineering and Technology ICIIET 2022 Cited by 1 article.

Conclusion

N. Iswarya is a strong candidate for the Best Scholar Award, given her academic achievements, research contributions, and commitment to professional development. Her strengths lie in her solid academic background, impactful research, and continuous learning. To further strengthen her candidacy, focusing on leadership roles, diversifying research output, and enhancing the practical applications of her work would be beneficial. Overall, her profile reflects a dedicated and capable scholar with the potential to make significant contributions to her field