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

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

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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.