RAGHU K G | Pharmacology | Best Researcher Award

Dr. RAGHU K G | Pharmacology | Best Researcher Award

JUBILEE MISSION MEDICAL COLLEGE AND RESEARCH INSTITUTE,THRISSUR-India

Author Profile

Early Academic Pursuits 📚

Dr. K.G. Raghu’s journey in scientific research began with a strong academic foundation in the life sciences. He completed his Bachelor’s degree in Zoology, Botany, and Chemistry from Calicut University in 1983, achieving first-class honors. His passion for understanding biological systems led him to pursue a Master’s degree in Zoology from the same university, graduating in 1985 with first-class distinction.Dr. Raghu’s pursuit of knowledge continued with a Ph.D. from Saurashtra University, where his research focused on the effects of organomercurials pollution on the biochemical changes in the central nervous system of rats. His dissertation, titled “Effect of Organomercurials Pollution in Animals: Evaluation of Biochemical Changes in the Central Nervous System of Rat with Methylmercury and Chelators,” was completed under the supervision of Prof. P. P. Sood. This early work laid a solid groundwork for his future research in neurotoxicology and pharmacology.Following his Ph.D., Dr. Raghu undertook post-doctoral research at the Department of Biotechnology, Cochin University of Science & Technology. His research, supervised by Dr. C.S. Paulose, focused on neurotransmitter-receptor functions in mercury poisoning and the effects of chitosan.

Professional Endeavors 🔬

Dr. Raghu’s professional career is marked by significant contributions to the field of pharmacology and drug development, particularly in cardiovascular disease (CVD) and metabolic syndrome. His career began at the CSIR Central Drug Research Institute, Lucknow, where he served in various capacities from Scientist B to Senior Scientist between 1995 and 2008. His work focused on drug development for cardiovascular diseases and safety pharmacology, which helped advance therapeutic approaches in this critical area.In 2008, Dr. Raghu joined the CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Trivandrum, where he made remarkable contributions as a Senior Scientist, Principal Scientist, and eventually Senior Principal Scientist. His research during this period centered on the basic biology of metabolic syndromes and bioactives. He led pioneering studies on the development of leads for metabolic syndrome and explored bioactive compounds with therapeutic potential.In 2021, Dr. Raghu retired as Chief Scientist from NIIST but continued his impactful work as an Honorary Scientist at the Jubilee Mission Medical College & Research Institute, Trichur, Kerala. His research continues to address the fundamental biology of metabolic syndromes, further demonstrating his dedication to advancing medical science.

Contributions and Research Focus 🧬

Dr. Raghu’s research has had a profound impact on the understanding and treatment of metabolic syndromes and cardiovascular diseases. His studies have explored the biochemical mechanisms underlying these conditions and developed potential therapeutic leads. Notable contributions include:

  • Drug Development for Cardiovascular Diseases: Dr. Raghu’s early work involved developing and testing new drugs for cardiovascular conditions, focusing on safety pharmacology.
  • Metabolic Syndrome Research: His later research at NIIST was groundbreaking in exploring the basic biology of metabolic syndromes and developing bioactive compounds to combat these disorders. His work on compounds from natural sources has been particularly influential in identifying potential new treatments.

Dr. Raghu has also been instrumental in supervising Ph.D. and post-doctoral research, guiding several students and researchers in their scientific careers. His mentorship has led to significant advancements in the understanding of oxidative stress, cardiac hypertrophy, and metabolic syndrome.

Accolades and Recognition 🏆

Dr. Raghu’s contributions have been widely recognized in the scientific community. His work has not only advanced the field of pharmacology but has also earned him a place among the leading researchers in metabolic syndrome and cardiovascular diseases. He is a Fellow of the Indian Academy of Biomedical Sciences and the Kerala Academy of Sciences, highlighting his prominence and influence in the field.

Impact and Influence 🌍

Dr. Raghu’s research has had a lasting impact on the scientific understanding of cardiovascular and metabolic diseases. His innovative approaches and discoveries have paved the way for new therapeutic strategies and drug developments. His role as a mentor and guide to numerous researchers has further amplified his influence, fostering a new generation of scientists dedicated to advancing medical research.

Legacy and Future Contributions 🔮

As Dr. Raghu continues his work as an Honorary Scientist at the Jubilee Mission Medical College & Research Institute, his legacy is characterized by a commitment to advancing scientific knowledge and improving human health. His ongoing research aims to unravel further complexities of metabolic syndromes and develop effective interventions.Dr. Raghu’s career serves as an inspiring example of how dedication to research and mentoring can lead to significant advancements in science and medicine. His work not only contributes to the current understanding of critical health issues but also sets the stage for future breakthroughs in the field.

Citations

A total of 2610 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         2610
  • h-index           102
  • i10-index        31

Notable Publications

  • Title: Joubert syndrome causing mutation in C2 domain of CC2D2A affects structural integrity of cilia and cellular signaling molecules
    Authors: Jayarajan, R.O., Chakraborty, S., Raghu, K.G., Purushothaman, J., Veleri, S.
    Journal: Experimental Brain Research
    Year: 2024.
  • Title: Corrosion and in vitro characteristics of cerium phosphate based chemical conversion coating on AZ31 magnesium alloy
    Authors: Jayaraj, J., Kumar, S.A., Srinivasan, A., Arunchandran, C., Rajinikanth, V.
    Journal: Applied Surface Science
    Year: 2024.
  • Title: A clinically feasible diagnostic spectro-histology built on SERS-nanotags for multiplex detection and grading of breast cancer biomarkers
    Authors: Murali, V.P., Karunakaran, V., Murali, M., Sujathan, K., Maiti, K.K.
    Journal: Biosensors and Bioelectronics
    Year: 2023.
  • Title: Vanillic acid mitigates hyperinsulinemia induced ER stress mediated altered calcium homeostasis, MAMs distortion and surplus lipogenesis in HepG2 cells
    Authors: Mohan, S., Nair, A., Poornima, M.S., Raghu, K.G.
    Journal: Chemico-Biological Interactions
    Year: 2023.
  • Title: In vitro and in vivo anti-inflammatory and anti-arthritic effect of Tinospora cordifolia via modulation of JAK/STAT pathway
    Authors: George, G., Shyni, G.L., Mohan, S., Rajankutty, K., Raghu, K.G.
    Journal: Inflammopharmacology
    Year: 2023.

Kasturi Barik | Biomedical | Best Researcher Award

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.