Kasturi Barik | Biomedical | Best Researcher Award

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Assist Prof Dr. Kasturi Barik | Biomedical | Best Researcher Award

JIS Institute of Advanced Studies & Research (JISIASR), India

Author Profile

Early Academic Pursuits 🎓

Kasturi Barik’s journey into the world of electronics and communication engineering began at West Bengal University of Technology, where she completed her B.Tech with a strong foundation in Electronics and Communication Engineering, earning an impressive CGPA of 8.99/10. Her passion for biomedical signal processing and cognitive neuroscience led her to pursue advanced studies at the prestigious Indian Institute of Technology Kharagpur (IIT Kharagpur). There, she completed her MS by Research in Electronics and Electrical Communication Engineering, specializing in Biomedical Signal Processing, with a stellar CGPA of 9.64/10. Her master’s thesis focused on the “Single-trial Classification of EEG Signals to Investigate the Influence of Prior Expectation in Face Pareidolia,” showcasing her early interest in understanding complex brain signal patterns.

Professional Endeavors 🧠

After excelling in her master’s program, Kasturi continued her academic journey at IIT Kharagpur, where she pursued a Ph.D. in Neuro Signal Processing and Machine Learning. Her doctoral research centered on the “Machine Learning Approach for Autism Detection in Young Children using Magnetoencephalogram (MEG) Signals.” This work exemplifies her dedication to applying cutting-edge technology to healthcare, particularly in the early detection and understanding of autism. Currently, she serves as an Assistant Professor at the Centre for Data Science (CDS) at JIS Institute of Advanced Studies & Research (JISIASR), JIS University, Kolkata, India. Here, she imparts her extensive knowledge of neuro-signal processing and machine learning to the next generation of engineers and researchers.

Contributions and Research Focus 🔬

Kasturi’s research is deeply rooted in neuro-signal processing, with a particular focus on using machine learning to decipher complex biomedical signals. Her doctoral research made significant strides in autism detection by analyzing MEG signals. She proposed a novel phase-based spectral domain feature, which outperformed traditional power spectral density-based features in identifying autistic children. Her research also explored the fusion of power and phase-based features, leading to a more robust model for autism detection. Furthermore, she introduced a common spatial pattern (CSP) based machine learning approach to uncover the possible cortical spatial patterns associated with autism, providing new insights into the neurological underpinnings of the disorder.In addition to her work on autism, Kasturi has contributed to projects that explore the neural mechanisms of other mental health conditions, such as obsessive-compulsive disorder (OCD). She applied artificial neural network modeling to differentiate between low and high OCD participants using EEG signals, demonstrating her versatility in applying machine learning to various neurological conditions.

Accolades and Recognition 🏅

Kasturi’s academic achievements have been consistently recognized through her high grades and the successful completion of complex research projects. Her work at IIT Kharagpur, particularly her contributions to understanding brain signal processing and autism detection, has positioned her as a rising star in the field of neuro-signal processing and machine learning. Although her Ph.D. thesis is currently under review, her research has already garnered attention within the academic community, paving the way for future accolades and recognition.

Impact and Influence 🌟

Kasturi’s work has the potential to significantly impact the field of cognitive neuroscience, particularly in the early detection and understanding of neurological disorders like autism. By developing machine learning models that can accurately detect autism in young children, her research could lead to earlier interventions and better outcomes for those affected by the disorder. Moreover, her contributions to understanding the neural mechanisms underlying other mental health conditions, such as OCD, highlight her broader impact on the field of mental health research.

Legacy and Future Contributions 🚀

As Kasturi continues her career as an Assistant Professor, her influence is likely to expand beyond her research. Her commitment to teaching and mentoring the next generation of engineers and researchers will ensure that her knowledge and expertise are passed on to others. Looking forward, Kasturi is poised to make significant contributions to the field of artificial intelligence in healthcare, particularly in the areas of neuro-signal processing and cognitive neuroscience. Her future work will likely continue to push the boundaries of what is possible with machine learning in healthcare, making her a key figure in the intersection of technology and medicine.

Citations

A total of 36 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         36
  • h-index           8
  • i10-index        4

Notable Publications 

  1. Title: A Fusion-Based Machine Learning Approach for Autism Detection in Young Children Using Magnetoencephalography Signals
    Authors: Barik, K., Watanabe, K., Bhattacharya, J., Saha, G.
    Journal: Journal of Autism and Developmental Disorders
    Year: 2023.
  2. Title: Functional Connectivity Based Machine Learning Approach for Autism Detection in Young Children Using MEG Signals
    Authors: Barik, K., Watanabe, K., Bhattacharya, J., Saha, G.
    Journal: Journal of Neural Engineering
    Year: 2023.
  3. Title: Fusion of Spectral and Connectivity Features to Detect Depressive Disorder using EEG Signals
    Authors: Saha, U., Barik, K., De, A.
    Journal: Proceedings of 2023 IEEE 3rd Applied Signal Processing Conference, ASPCON 2023
    Year: 2023.
  4. Title: Autism Detection in Children using Common Spatial Patterns of MEG Signals
    Authors: Barik, K., Watanabe, K., Hirosawa, T., Bhattacharya, J., Saha, G.
    Journal: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Year: 2023.
  5. Title: Classification of Autism in Young Children by Phase Angle Clustering in Magnetoencephalogram Signals
    Authors: Barik, K., Watanabe, K., Bhattacharya, J., Saha, G.
    Journal: 26th National Conference on Communications, NCC
    Year: 2020.

Anjana Menon | Engineering | Best Researcher Award

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Mrs. Anjana Menon | Engineering | Best Researcher Award

NATIONAL INSTITUTE OF TECHNOLOGY CALICUT- India

Author Profile

📚Early Academic Pursuits

Anjana R. Menon’s academic journey began with a strong foundation in civil engineering, marked by stellar performances in her schooling and higher education. She completed her B.Tech in Civil Engineering from NSS College of Engineering, Palakkad (2010-2014), achieving a commendable CGPA of 8.93/10 and receiving an AICTE scholarship for her merit. Her academic excellence continued through her M.Tech in Geotechnical Engineering at NITK Surathkal (2015-2017), where she excelled with a CGPA of 9.55/10. Her thesis on “Numerical Studies on Prefabricated Horizontal Drain (PHD) Induced Consolidation” showcased her aptitude for complex problem-solving in soil mechanics.

💼Professional Endeavors

Anjana’s professional career began as a Project Assistant at Kerala State Council for Science, Technology, and Environment (July 2014-May 2015). This role provided her with initial exposure to research and development in geotechnical engineering. Her subsequent position as an Assistant Professor at Sahrdaya College of Engineering, Thrissur, Kerala, from July 2017 to December 2018, allowed her to impart her knowledge to undergraduate students and guide technical projects on innovative topics like Baggase Geotextile and Glass Fibre Reinforced Gypsum (GFRG) Hollow Bricks.Currently, as a Ph.D. Scholar and Assistant Professor at NITC, Anjana has focused on advancing research in ground improvement techniques using stone columns and geosynthetics. Her role includes not only teaching but also guiding undergraduate projects and conducting significant research in sustainable construction practices.

🔬Contributions and Research Focus

Anjana’s research contributions are both impactful and forward-thinking. Her doctoral research, supported by the Science Engineering Research Board (SERB), India, investigates the performance of encased stone columns improved with a geocell basal platform. This work aims to provide a cost-effective, sustainable alternative to conventional Geosynthetic Reinforced Piled Embankments (GRPES), particularly relevant for developing nations like India. The integration of natural fibers, such as coir, and waste materials, like rubber tire crumbs, into the geocell infill is a testament to her commitment to eco-friendly engineering practices.Her research includes a variety of publications in prestigious journals, such as the “International Journal of Geosynthetics and Ground Engineering” and “Computers and Geotechnics,” addressing critical aspects of soil reinforcement, geosynthetic testing, and finite element analysis of soil structures.

🏆Accolades and Recognition

Anjana has earned recognition for her exceptional work and contributions in the field of geotechnical engineering. She was selected to present her technical paper at the 6th International Engineering Symposium (IES2017) at Kumamoto University, Japan. This international exposure underscores her standing in the global engineering community. Her research work has been supported by grants and funding from SERB, India, highlighting the value and impact of her contributions to the field.

🌍Impact and Influence

Anjana’s work has significant implications for the construction industry, particularly in the realm of sustainable and cost-effective ground improvement techniques. Her research on stone columns and geocell platforms addresses critical challenges in soil reinforcement and stability, offering practical solutions that can be implemented in real-world scenarios. By focusing on integrating natural and waste materials, she contributes to the broader goal of promoting sustainable engineering practices and reducing environmental impact.Her influence extends beyond research, as she actively participates in teaching and guiding the next generation of engineers. Her dedication to academic research and education fosters innovation and encourages students to explore sustainable solutions in engineering.

🔮Legacy and Future Contributions

As Anjana R. Menon continues her journey in academia and research, her legacy is likely to be marked by her commitment to advancing sustainable engineering practices and her role in mentoring future engineers. Her research on geosynthetics and ground improvement techniques will likely pave the way for further innovations in the field.Looking ahead, Anjana’s future contributions may include expanding her research to explore new materials and methods for soil improvement, enhancing the efficiency of construction techniques, and continuing to promote eco-friendly practices. Her ongoing work will contribute to the development of more sustainable and cost-effective solutions in geotechnical engineering, reinforcing her position as a leader in the field.For more details or to connect with Anjana R. Menon, you can reach her via email at anjana5193@gmail.com or visit her LinkedIn profile. She is also available at NITC Surathkal, where she continues her impactful work in geotechnical engineering.

Citations

A total of 26 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         26
  • h-index           2
  • i10-index        1

Notable Publications 

Experimental and Numerical Investigation of Column-Supported Soft Clays Reinforced with Basal Geocell
AR Menon, A Bhasi, S Konnur
Transportation Infrastructure Geotechnology 11 (2), 675-702
22024
Time-dependent study of load transfer mechanism in geocell reinforced soil bed
AR Menon, A Bhasi
Materials Today: Proceedings
12023
Evaluation of Critical Length of Encasement for Stone Column-Supported Embankment with Basal Geocell
AR Menon, A Bhasi
Arabian Journal for Science and Engineering, 1-23
2024
Comparative Assessment of Geocell and Geogrid Reinforcement for Flexible Pavement: Numerical Parametric Study
AR Menon, A Bhasi
International Conference on Structural Engineering and Construction …
2023
Numerical Parametric Study on Time-Dependent Response of Geocell-Reinforced Flexible Pavements
AR Menon, A Bhasi
International Conference on Trends and Recent Advances in Civil Engineering …