Arun Kumar | Public Health | Best Research Award

Dr. Arun Kumar | Public Health | Best Research Award

Mahavir Cancer Sansthan and Research Centre, India

Author Profile

Early Academic Pursuits đź“š

Dr. Arun Kumar, born on January 31st, 1975, in India, embarked on his academic journey with a strong foundation in the biological sciences. He completed his Bachelor of Science in 1997 from Dronacharya Government College, affiliated with M.D. University, Rohtak, Haryana, where he majored in Botany, Zoology, and Chemistry. This multidisciplinary background laid the groundwork for his future endeavors in research. Driven by a keen interest in cytology, Dr. Kumar pursued a Master of Science in Zoology from Patna University, graduating in 2001 with a specialization in Cytology. His academic excellence was evident, securing the 6th Merit Rank in Patna University with an impressive 71.5%. His growing passion for research led him to further his studies, culminating in a Ph.D. in Zoology in 2008. His doctoral research focused on the “Study of the effect of selected medicinal plant extracts against endosulfan toxicity in the liver of mice,” under the guidance of Prof. Sudhir Kumar Srivastava at Patna University. This work not only contributed to toxicology but also explored the therapeutic potential of medicinal plants, marking the beginning of Dr. Kumar’s significant contributions to the field of cancer research.

Professional Endeavors 🧑‍🔬

Dr. Arun Kumar’s professional career is marked by a series of impactful research projects and positions that have contributed to the understanding of cancer and environmental pollutants. Since August 2007, he has been serving as a Senior Scientist at the Mahavir Cancer Sansthan & Research Centre in Patna, Bihar. In this role, he has undertaken groundbreaking research that bridges environmental science and oncology. His work on establishing the association between arsenic and cancer is particularly noteworthy, as it addresses a critical public health issue in Bihar, India, where arsenic contamination is prevalent. Before joining Mahavir Cancer Sansthan, Dr. Kumar was a Senior Research Fellow at Patna University, where he worked on several projects funded by the Indian Council of Medical Research and the Indian Council of Agriculture Research. His research during this period focused on the stimulatory effects of antioxidants on pollutant-induced male sterility and the use of plant extracts as curative agents against pollutant toxicity in fishes. These early projects set the stage for his later work on environmental pollutants and their impact on human health, particularly in the context of cancer.

Contributions and Research Focus 🔬

Dr. Arun Kumar’s research interests are broad yet deeply focused on critical areas of cancer biology. His primary research areas include the study of environmental pollutants and their role in cancer development, the discovery and development of new anticancer drugs using in vitro and in vivo test systems, and the exploration of cellular and molecular mechanisms of cancer. He has also been involved in karyotyping in cancer, conducting epidemiological studies, and investigating the potential of new medicinal plants in treating cancer and other diseases. Among his ongoing research projects, Dr. Kumar is leading an epidemiological study on gallbladder and breast cancer in Bihar, aiming to establish a link between arsenic exposure and these cancers. His work involves the assessment of arsenic contamination in biological samples from cancer patients, utilizing advanced techniques such as Atomic Absorption Spectrophotometry (GF-AAS). Additionally, Dr. Kumar is exploring the anticancer effects of novel medicinal plants against DMBA-induced breast cancer and Benzo-A-Pyrene-induced lung tumors in animal models. His commitment to translational research is evident in his efforts to develop new therapeutic strategies that could benefit cancer patients, particularly those from underprivileged backgrounds.

Accolades and Recognition 🏆

Dr. Arun Kumar’s contributions to cancer research have earned him significant recognition in the scientific community. His research has been widely published, with a total of 157 research papers to his name, reflecting an impressive Google Scholar citation count of 1342, an h-index of 18, and an i10-index of 39 as of August 20, 2024. These metrics underscore the impact and influence of his work. One of his most notable achievements is securing a German patent for the discovery of Lactobacillus sporogenes as an arsenic-munching bacterium (Patent No. 20 2024 103736). This patent not only highlights his innovative approach to addressing environmental pollutants but also opens new avenues for bioremediation in arsenic-contaminated regions. His research on the ameliorative effects of medicinal plant extracts against endosulfan toxicity in mice has also received acclaim, with findings that could potentially lead to the development of new therapeutic drugs.

Impact and Influence 🌍

Dr. Arun Kumar’s work has had a profound impact on both the scientific community and public health. His research on the association between arsenic and cancer has raised awareness of the environmental factors contributing to cancer in Bihar, a region severely affected by arsenic contamination. By establishing this link, Dr. Kumar has not only contributed to the scientific understanding of cancer etiology but also highlighted the need for public health interventions to address environmental pollutants. His dedication to developing new anticancer drugs from medicinal plants reflects his commitment to finding affordable and effective treatments for cancer, particularly for patients from low-income backgrounds. Through his work at Mahavir Cancer Sansthan & Research Centre, a charitable institution dedicated to serving the poor, Dr. Kumar has been able to translate his research into tangible benefits for the community.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Arun Kumar is poised to continue his pioneering work in cancer research. His ongoing projects on arsenic contamination and its role in cancer development, coupled with his efforts to discover new medicinal plants with anticancer properties, position him as a leading figure in environmental and cancer research. His legacy will likely be defined by his contributions to understanding the environmental causes of cancer and his innovative approaches to treatment. Dr. Kumar’s work not only advances scientific knowledge but also offers hope to countless individuals affected by cancer, particularly those in regions where access to healthcare is limited. As he continues to push the boundaries of research, Dr. Arun Kumar’s influence will undoubtedly extend beyond the laboratory, impacting public health policies and improving the lives of cancer patients globally.

Citations

A total of 1174 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1174
  • h-index           79
  • i10-index        14

Notable Publications 

  • Endosulfan induces reproductive & genotoxic effect in male and female Swiss albino mice
    • Authors: Priya, Kumar, A., Ali, M., Kumar, R., Ghosh, A.K.
    • Journal: Laboratory Animal Research, 2024.
  • Assessment of prevalence of elevated blood lead levels and risk factors among children and pregnant women in Bihar, India
    • Authors: Lu, Y., Chandan, A.K., Mehta, S., Nambiar, L., Kass, D.
    • Journal: Environmental Research, 2024.
  • High lead contamination in Mother’s breastmilk in Bihar (India): Health risk assessment of the feeding children
    • Authors: Agarwal, R., Kumar, A., Pandey, T., Singh, M., Ghosh, A.K.
    • Journal: Chemosphere, 2024.
  • Discovery of sulfonamide resistance genes in deep groundwater below Patna, India
    • Authors: Wilson, G.J.L., Perez-Zabaleta, M., Owusu-Agyeman, I., Cetecioglu, Z., Richards, L.A.
    • Journal: Environmental Pollution, 2024.
  • A Prospective Comparative Analysis to Study the Impact on Voice Changes Following Endoscopic Thyroidectomy
    • Authors: Kumar, A., Dhar, A., Srivastava, A., Kumar, R.
    • Journal: Surgical Laparoscopy, Endoscopy and Percutaneous Techniques, 2024.

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.