Iswarya Narayanasamy | Signal Processing | Best Scholar Award

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

ORCiD

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

Alka Mishra | Signal Processing | Women Researcher Award

Dr. Alka Mishra | Signal Processing | Women Researcher Award

Assistant Professor | Bhilai Institute of Technology Durg | India

Based on the detailed curriculum vitae provided, Dr. Alka Mishra seems to be a strong candidate for the Research for Women Researcher Award. Here’s an assessment of her strengths, areas for improvement, and a conclusion based on her profile:

Strengths for the Award

  1. Research Accomplishments: Dr. Mishra has a notable record of research publications in high-impact journals and conference proceedings. Her work, particularly in ECG signal modeling and its application in biomedical technology, demonstrates a strong focus on advancing healthcare through innovative methodologies. Her publications in journals like Journal of Electrocardiology and Circuits, Systems, and Signal Processing highlight her expertise and contributions to the field.
  2. Awards and Recognition: The Best Paper Award at an international conference and her exceptional role in the Toycathon 2021 showcase her recognition within the academic and professional community. These accolades underscore her research excellence and contributions to innovation.
  3. Patents and Copyrights: Dr. Mishra holds several patents and copyrights related to ECG signal modeling and other technological innovations. This reflects her active involvement in translating research into practical applications and protecting intellectual property.
  4. Professional Development: Her extensive participation in faculty development programs, workshops, and online courses indicates a commitment to continuous learning and staying updated with emerging technologies.
  5. Service to the Institution and Community: Dr. Mishra has held various roles, including departmental coordinator and member of multiple committees, demonstrating her leadership and contribution to institutional development.
  6. Multidisciplinary Expertise: Her proficiency in areas like machine learning, well-being science, and signal processing adds to the diversity and impact of her research.

Areas for Improvement

  1. Research Funding and Grants: The CV does not mention any major research grants or funding received. Securing and managing research funding is crucial for expanding research capabilities and impact.
  2. Interdisciplinary Collaborations: While Dr. Mishra’s work is interdisciplinary, highlighting any significant collaborations with researchers from different fields could further emphasize her capacity for cross-disciplinary research.
  3. International Collaborations and Impact: Greater emphasis on international collaborations and the global impact of her research could strengthen her application. Details on collaborative research projects or partnerships with international institutions would be beneficial.
  4. Public Engagement and Outreach: There is limited information on public engagement, outreach, or dissemination of her research findings beyond academic circles. Increasing efforts in these areas could enhance the societal impact of her work.

Short Bio

Dr. Alka Mishra is an Assistant Professor in the Department of Electrical and Electronics Engineering at Bhilai Institute of Technology, Durg, India. With a robust academic background and a dedication to innovative research, Dr. Mishra specializes in electronics, telecommunication, and machine learning. Her work focuses on advanced signal processing techniques, particularly in ECG signal modeling, and she has made significant contributions to biomedical engineering. Dr. Mishra is known for her commitment to continuous learning and professional development, as evidenced by her extensive participation in faculty development programs and online courses.

Profile

ORCID

Education

Dr. Mishra earned her Ph.D. in Electronics & Telecommunication Engineering with a focus on Signal Processing in 2024 from Bhilai Institute of Technology, Durg, affiliated with Chhattisgarh Swami Vivekanand Technical University. She completed her M.Tech in Digital Communication with honors in 2013 from NRI Institute of Science and Technology, Bhopal, and her B.E. in Electronics and Telecommunication in 2008 from Smarat Ashok Technological Institute, Vidisha. She also holds a Diploma in Electronics and Telecommunication from Government Women’s Polytechnic, Jabalpur, completed in 2005.

Experience

Dr. Mishra has over 16 years of academic experience, currently serving as an Assistant Professor at Bhilai Institute of Technology, Durg, since 2012. Prior to this role, she worked as a Lecturer at Oriental College of Technology in Bhopal from 2009 to 2012. In her current position, she has been actively involved in institutional development, including roles in the Training and Placement Cell, the Start-up Club, and various committees related to examinations and events.

Research Interests

Dr. Mishra’s research interests include advanced signal processing, ECG signal modeling, and the application of machine learning in biomedical technology. Her work emphasizes the development of novel techniques for improving cardiac diagnostics and addressing global health challenges through innovative technology. She is particularly focused on parametric spline approaches for ECG signal analysis and has explored their integration with machine learning methods to enhance diagnostic accuracy.

Awards

Dr. Mishra has received notable recognition for her research, including the Best Paper Award at the AICTE and DSIR Sponsored International Conference SIDSET 23, held at Bhilai Institute of Technology, Durg, in August 2023. She was also acknowledged for her exceptional contribution as a primary evaluator in Toycathon 2021, an initiative supported by the Ministry of Education’s Innovation Cell and the All India Council for Technical Education.

Publications

Mishra, Alka, Surekha Bhusnur, Santosh Kumar Mishra, and Pushpendra Singh. “Comparative analysis of parametric B-spline and Hermite cubic spline based methods for accurate ECG signal modeling.” Journal of Electrocardiology (2024). DOI

Mishra, Alka, Surekha Bhusnur, and Santosh Mishra. “Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach.” Circuits, Systems, and Signal Processing (2024): 1-25. DOI

Mishra, Alka, Surekha Bhusnur, Santosh Kumar Mishra, and Pushpendra Singh. “Exploring a new frontier in cardiac diagnosis: ECG analysis enhanced by machine learning and parametric quartic spline modeling.” Journal of Electrocardiology 85 (2024): 19-24. DOI

Singh, Pushpendra, Alka Mishra, and Santosh Kumar Mishra. “A comprehensive analysis of the challenges and potential side effects of radiation therapy for palliative cancer treatment.” Médecine Palliative (2024). DOI

Singh, Pushpendra, Seema Singh, Alka Mishra, and Santosh Kumar Mishra. “Multimodality treatment planning using the Markov decision process: a comprehensive study of applications and challenges.” Research on Biomedical Engineering (2024): 1-16. DOI

Mishra, Alka, Surekha Bhusnur, and Santosh Kumar Mishra. “Advancing Health Sciences and Biomedical Technology: A Parametric Spline Based ECG Modeling.” Everyman’s Science 57 (2). DOI

Mishra, Alka, and Surekha Bhusnur. “A piecewise spline approach for modeling of ECG signals.” Biomedical Physics & Engineering Express 9, no. 6 (2023): 065017. DOI

Mishra, Santosh Kumar, Amrita Tripure, Alka Mishra, and Pushpendra Singh. “Effects of vibrational flow on nanofluid flow behavior under different temperature boundary conditions.” Numerical Heat Transfer, Part A: Applications (2024): 1-17. DOI

Mishra, Santosh, Alka Mishra, and Pushpendra Singh. “Entropy generation in Newtonian Vs Non-Newtonian nanofluid flow under vibration.” Physica Scripta (2024). DOI

Mishra, A., Bhusnur, S. & Mishra, S. “A Neoteric Parametric Representation and Classification of ECG Signal.” Circuits, Systems, and Signal Processing 42 (9), pp. 5725-5738 (2023). DOI

Conclusion

Dr. Alka Mishra’s profile exhibits a strong foundation of research achievements, professional development, and service. Her significant contributions to the field of electronics and telecommunication, especially in biomedical applications, and her active role in advancing technology through patents and copyrights, make her a compelling candidate for the Research for Women Researcher Award.

To enhance her candidacy, Dr. Mishra could consider focusing on securing research grants, fostering international collaborations, and increasing public engagement with her research. Overall, her dedication to her field, demonstrated impact, and commitment to continuous learning position her as a strong contender for this award.

Mr. Amit Chakraborty – Electrical Engineering – Best Researcher Award

Mr.Amit Chakraborty - Electrical Engineering - Best Researcher Award

National Institute of Technology Silchar - India

Professional Profiles:

Early Academic Pursuits:

Amit Chakraborty's academic journey commenced with distinction, evident from his impressive secondary and higher secondary performances at T.B.S.E. His scientific inclination, marked by a focus on Science during higher secondary, laid the groundwork for his future pursuits.

Professional Endeavors:

His pursuit of knowledge continued at the National Institute of Technology (NIT) Agartala, where Amit earned his Bachelor's and Master's degrees in Electrical Engineering and Instrumentation, respectively. His commitment to academia is underscored by his ongoing Ph.D. journey at NIT Silchar, delving into the intricate realms of Power Systems and Renewable Energy.

Contributions and Research Focus:

Amit's dedication to academia is reflected in his research focus on Power Systems and Renewable Energy. As a Ph.D. scholar, his contributions aim to advance understanding and applications in these critical areas, addressing challenges and fostering sustainable solutions.

Accolades and Recognition:

Amit's academic prowess is evident through notable qualifying exam scores, including a commendable performance in GATE 2017. These achievements underscore his dedication to excellence in the field of electrical engineering.

Impact and Influence:

Amit Chakraborty's impact extends beyond academic achievements. His specialization in Instrumentation and research in Power Systems and Renewable Energy positions him as a potential influencer in addressing contemporary challenges in the field.

Legacy and Future Contributions:

Amit's legacy is shaped by his commitment to exploring innovative solutions to complex energy problems. As he progresses in his Ph.D., his future contributions are anticipated to further enrich the understanding of Power Systems and Renewable Energy, leaving a lasting impact on the academic community and industry.

Notable Publications:

Operational cost minimization of a microgrid with optimum battery energy storage system and plug-in-hybrid electric vehicle charging impact using slime mould algorithm 1 September 2023 (5)

Microgrid operational energy management with plug-in hybrid electric vehicles charging demand 20 October 2023

Equilibrium Optimizer Algorithm for Optimal Sizing of Utility-Connected Hybrid PV-Biomass Systems 07 August 2023