Arun Kumar | Public Health | Best Research Award

Posted on by ScienceFather

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

Posted on by ScienceFather

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.

Jayashree | Deep learning | Best Researcher Award

Posted on by ScienceFather

Mrs. Jayashree - Deep learning - Best Researcher Award 🏆 

Nitte meenakshi Institute of technology - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a strong passion for science, particularly in the realm of data science, big data, and data mining. Her fascination with handling large volumes of high-dimensional data and employing various data mining techniques led her to pursue a Ph.D. in this field at VTU Belgaum. Her research endeavors are focused on processing and analyzing complex datasets, exploring innovative methodologies to extract meaningful insights.

Professional Endeavors

With a total experience of 9.5 years, she has made significant contributions to academia and industry. She has served as an Assistant Professor at prestigious institutions such as Nitte Meenakshi Institute of Technology, Vijaya Vittal Institute of Technology, and BIT Institute of Technology, among others. Her teaching tenure has been marked by a commitment to excellence, where she imparted knowledge and mentored students in the fields of computer science and engineering.

Deep learning is a subset of artificial intelligence (AI) and machine learning that involves training artificial neural networks to learn from vast amounts of data. Using sophisticated algorithms inspired by the structure and function of the human brain, deep learning models can automatically discover and extract intricate patterns and representations from complex datasets. Neural networks, the building blocks of deep learning, consist of interconnected layers of artificial neurons that process and transform input data to produce meaningful outputs. As a key component of data science, deep learning has revolutionized various fields such as computer vision, natural language processing, speech recognition, and autonomous systems. With its ability to handle unstructured data and perform feature learning automatically, deep learning continues to drive innovation and advancements in AI research and applications.

Contributions and Research Focus in Deep learning

Her research focuses on the intersection of deep learning, artificial intelligence, neural networks, machine learning, and data science. Her work delves into developing advanced algorithms and models to tackle complex problems in various domains such as computer vision, natural language processing, and autonomous systems. By leveraging cutting-edge technologies and methodologies, she strives to push the boundaries of knowledge and contribute to the advancement of these fields.

As a key component of data science, deep learning has revolutionized various fields such as computer vision, natural language processing, speech recognition, and autonomous systems. With its ability to handle unstructured data and perform feature learning automatically, deep learning continues to drive innovation and advancements in AI research and applications. The applications of deep learning span across various domains, revolutionizing fields such as computer vision, natural language processing, speech recognition, and autonomous systems.

Accolades and Recognition

Throughout her career, she has garnered recognition for her outstanding contributions. Her dedication to research and education has earned her accolades such as the Best Researcher Award. Her publications in reputed journals and her active participation in conferences and workshops have further solidified her reputation as a leading researcher in her field.

Impact and Influence

Her work has had a profound impact on the academic and scientific community. Her research findings and insights have contributed to advancements in deep learning, artificial intelligence, and data science, driving innovation and progress in these fields. Through her mentorship and guidance, she has inspired numerous students to pursue careers in research and academia, leaving a lasting legacy in the field.

Legacy and Future Contributions

As she continues her journey in research and education, her legacy is poised to grow even further. With her passion, expertise, and dedication, she will continue to make significant contributions to deep learning, artificial intelligence, neural networks, machine learning, and data science. Her future endeavors hold the promise of further breakthroughs and advancements, shaping the landscape of these fields for years to come.

Notable Publications

Konduru Ashok Kumar Raju | Biomaterials | Editorial Board Member

Posted on by ScienceFather

Dr. Konduru Ashok Kumar Raju - Biomaterials - Editorial Board Member 🏆 

National Institute of Technology Rourkela - India

Professional Profiles

Early Academic Pursuits

His academic journey began with a strong foundation in mechanical engineering, earning his Bachelor's and Master's degrees from Jawaharlal Nehru Technological University. His research interests expanded into CAD/CAM and heat transfer during his postgraduate studies. Pursuing his Ph.D. in Biomaterials at the National Institute of Technology, Rourkela, he delved into material science and engineering, focusing on functionalized coatings to improve corrosion resistance and biocompatibility of medical implants.

Professional Endeavors

With over five years of teaching experience in mechanical engineering departments, he has honed his skills as an educator. He has served as an Assistant Professor in esteemed institutions like JNTUA College of Engineering and Sri Krishnadevaraya Engineering College, imparting knowledge and mentoring students. Additionally, he has contributed significantly to the field of biomaterials as a scientific peer reviewer for reputable journals, including Elsevier and Wiley.

Contributions and Research Focus in Biomaterials

His research focuses on the development of functionalized coatings for medical implants, particularly titanium alloys like Ti6Al4V. These coatings aim to enhance corrosion resistance and biocompatibility, crucial factors in ensuring the success of medical implants. His work intersects material science, engineering, and biomedicine, contributing to advancements in biomaterials for medical applications. Raju's expertise also extends to CAD/CAM, tissue engineering, and regenerative medicine, reflecting his multidisciplinary approach to research.

Accolades and Recognition

His dedication to research and academic excellence has been recognized through various awards and honors. He was awarded the prestigious Sir M. Visveswaraya Best Engineering National Award and received scholarships from the State Council of Higher Education, Andhra Pradesh. Furthermore, he is a recipient of the National Ministry of Human Resource and Development Fellowship, highlighting his significant contributions to the field of biomaterials.

Impact and Influence

Through his research and academic pursuits, he has made a significant impact on the field of biomaterials and medical engineering. His work has the potential to improve the performance and longevity of medical implants, ultimately benefiting patients worldwide. As a scientific peer reviewer, he plays a vital role in maintaining the quality and integrity of scholarly publications, shaping the discourse in biomaterials research.

Legacy and Future Contributions

Looking ahead, His legacy lies in his commitment to advancing biomaterials and medical engineering. His research endeavors aim to address pressing challenges in the field, such as improving the biocompatibility of implants and developing novel materials for tissue engineering applications. Through continued collaboration, innovation, and mentorship, he seeks to inspire future generations of researchers and contribute to transformative advancements in healthcare.

Citations

  • Citations              37
  • h-index                 4

Notable Publications

Anuradha Ganesan | Radiology | Research Achievement Award

Posted on by ScienceFather

Dr. Anuradha Ganesan - Radiology - Research Achievement Award 🏆 

SRM Dental College, Ramapuram Chennai - India

Professional Profiles

Early Academic Pursuits

Her journey in the field of radiology began with her Bachelor's in Dental Surgery (BDS) from the College of Dental Surgery (CODS), Mangalore, under the prestigious Manipal Academy Of Higher Education. Following her passion for oral medicine and radiology, she pursued her Masters in Dental Surgery (MDS) specializing in Oral Medicine & Radiology from Saveetha Dental College & Hospital, Chennai. Her academic prowess led her to achieve a Doctor of Philosophy (PhD) degree from Saveetha University in 2020, further solidifying her expertise in the domain of radiology.

Professional Endeavors

Her professional journey is marked by her significant contributions and leadership roles in various academic institutions. She served as the Head of Department at Madha Dental College, Kundrathur, Chennai, demonstrating her capability to lead and manage academic departments effectively. Prior to this, she held positions as a Professor, Reader, and Senior Lecturer at both Madha Dental College and Adhiparashakthi Dental College, showcasing her dedication to dental education and research.

Contributions and Research Focus in Radiology

Throughout her career, she has been deeply involved in advancing the field of radiology, particularly in the context of dental and oral health. Her research focus spans areas such as medical imaging, diagnostic radiology, radiography, and imaging technology. She has conducted extensive studies aimed at improving imaging techniques for the early detection and diagnosis of oral diseases, thereby contributing to better patient outcomes and treatment planning in dentistry.

Radiology, a crucial branch of medical science, encompasses various imaging techniques used for diagnosis, treatment planning, and monitoring of diseases. This field employs advanced technologies such as X-rays, magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, and nuclear medicine to visualize internal body structures and functions. Radiologists, trained medical professionals, interpret these images to detect abnormalities, injuries, or diseases within the human body.

Accolades and Recognition

Her exemplary contributions to the field of radiology have been recognized through various accolades and honors. Her research achievements have earned her accolades such as the Research Achievement Award, acknowledging her significant contributions to the advancement of radiological science. Her dedication to education and research has also been acknowledged through awards and recognition from academic institutions and professional bodies.

Impact and Influence

Her work has had a profound impact on both academia and clinical practice. Her research findings have been instrumental in shaping current practices in radiology and dental imaging, contributing to more accurate diagnosis and treatment planning. Her leadership roles in academic institutions have also influenced the next generation of dental professionals, inspiring them to pursue excellence in the field of radiology and imaging technology.

Legacy and Future Contributions

As a trailblazer in the field of radiology, Her legacy lies in her pioneering research, academic leadership, and commitment to excellence. Her contributions have laid the foundation for future advancements in medical imaging and diagnostic radiology, promising a brighter and more innovative future for the field. Moving forward, she continues to inspire and mentor aspiring radiologists, ensuring a legacy of excellence in radiology for generations to come.

Citations

  • Citations               137
  • h-index                  6
  • i10-index               5

Notable Publications