Dr. Avanka Lowe | Computational Nanotechnology | Best Researcher Award

Posted on by ScienceFather

Dr. Avanka Lowe | Computational Nanotechnology | Best Researcher Award

Dr. Avanka Lowe, University of Arizona, United States

Avanka Lowe is an Assistant Professor in Medical Imaging and an Attending Nuclear Medicine Physician at the University of Arizona and Banner University Medical Center in Tucson, Arizona. With a Doctor of Medicine from the University of Dhaka and extensive training in nuclear medicine, including a fellowship at Johns Hopkins School of Medicine, he is currently pursuing a Master of Computer and Information Technology from the University of Pennsylvania. Dr. Lowe has contributed significantly to the field, publishing numerous peer-reviewed articles and presenting his research at various prestigious conferences. His interests lie in the intersection of artificial intelligence and medical imaging, alongside personal pursuits such as yoga, meditation, and music.

Professional Profile:

Orcid

Suitability for the Best Researcher Award: Avanka Lowe

Avanka Lowe is an outstanding candidate for the Best Researcher Award due to his extensive academic background, impactful professional experience, and significant contributions to the field of medical imaging, particularly in nuclear medicine. His qualifications and achievements illustrate his dedication to advancing research and application in medical imaging technologies.

šŸŽ“Education:

Avanka Lowe is currently pursuing a Master of Computer and Information Technology (MCIT) online through the School of Engineering and Applied Science at the University of Pennsylvania, starting in August 2023. He completed a Fellowship in Nuclear Medicine and Clinical PET/CT at the Division of Nuclear Medicine and Molecular Imaging in the Department of Radiology at Johns Hopkins School of Medicine from July 2021 to June 2022. Prior to that, he underwent a Residency in Nuclear Medicine at the University of Texas Southwestern Medical Center (UTSW) in Dallas, Texas, from July 2018 to June 2021. Dr. Lowe also completed a PGY1 Internship in Internal Medicine at Kern Medical in Bakersfield, California, affiliated with the University of California, Los Angeles, from July 2016 to June 2017. He earned his Doctor of Medicine degree from the University of Dhaka in Bangladesh, where he studied from April 2004 to January 2010.

šŸ¢Professional Experience:

Avanka Lowe has been serving as an Assistant Professor in Medical Imaging and an Attending Nuclear Medicine Physician at the University of Arizona and Banner University Medical Center in Tucson, Arizona, since October 2022. In this role, he is actively involved in teaching and clinical practice, contributing his expertise in nuclear medicine and medical imaging to the academic and healthcare communities.

šŸ…Awards and Certifications:

Avanka Lowe holds several certifications that enhance his qualifications in the medical field and technology. He was certified by the American Board of Nuclear Medicine (ABNM) in November 2022. In addition, he completed a Certificate in Artificial Intelligence in Health Care from the Massachusetts Institute of Technology (MIT) in March 2021. Dr. Lowe also obtained a Certificate in Data Structure and Algorithms with Python, as well as a Certificate in Web Development Fundamentals, both from NuCamp in 2023. Furthermore, he is certified by the Educational Commission for Foreign Medical Graduates (ECFMG) in the USA, a certification he received in September 2015. Earlier in his career, he earned a Certificate in Computer Science from the National Institute of Business Management in Sri Lanka (NIBM) in June 2001.

Publication Top Notes:

  • Early Detection of Residual/Recurrent Lung Malignancies on Post-Radiation FDG PET/CT Algorithms
  • Prostate multi-parametric magnetic resonance imaging appearance of diffuse adenosis of the peripheral zone (DAPZ)

 

 

 

 

 

Prof. Dr. Gangai Selvi Ramalingam | Computational Nanotechnology | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Gangai Selvi Ramalingam | Computational Nanotechnology | Best Researcher Award

Prof. Dr. Gangai Selvi Ramalingam ,Tamil Nadu Agricultural University , India

Dr. R. Gangai Selvi is a distinguished Professor of Statistics in the Department of Physical Sciences & Information Technology at the Agricultural Engineering College & Research Institute, Tamil Nadu Agricultural University (TNAU), Coimbatore. With a strong academic background, she completed her Bachelorā€™s and Masterā€™s degrees in Statistics from PSG College of Arts & Science, Coimbatore, and an M. Phil in Statistics from Bharathidasan University, Trichy. Her PhD in Econometrics was pursued while serving at TNAU. Joining TNAU as a Senior Research Fellow in 2004, she was promoted to Assistant Professor in 2007 and has since contributed significantly to her field through innovative teaching methods, including the development of the ā€˜TNAU Statistics Quizā€™ mobile app. Her expertise spans over 18 years, during which she has also authored notable textbooks, organized numerous training programs, and received multiple prestigious awards, including the Young Scientist Award (2021) and the Best Faculty Award (2022). Dr. Selvi is an active member of several professional societies and has been recognized for her substantial contributions to research and academia.

Professional Profile:

Scopus

Summary of Suitability for Best Researcher Award for Dr. R. Gangai Selvi

In summary, Dr. Gangai Selvi embodies the qualities of an outstanding researcher and educator, making her a deserving recipient of the Best Researcher Award.

šŸŽ“Education:

Dr. R. Gangai Selvi completed her Bachelorā€™s and Masterā€™s degrees in Statistics at PSG College of Arts & Science, Coimbatore. She further pursued an M. Phil in Statistics from Bharathidasan University, Trichy, and later earned her PhD in Econometrics from Tamil Nadu Agricultural University (TNAU).

šŸ¢Work Experience:

Dr. R. Gangai Selvi began her career as a Senior Research Fellow (SRF) at Tamil Nadu Agricultural University (TNAU) on November 26, 2004. She was promoted to Assistant Professor in the Department of Physical Sciences & Information Technology at TNAU on April 17, 2007, and served in this role until November 20, 2017. Following this, she worked as a faculty member in the Department of Social Sciences at the Agricultural College & Research Institute, Killikulam, Thoothukudi from November 21, 2017, to September 7, 2021. Dr. Selvi has been serving as a Professor of Statistics in the Department of Physical Sciences & Information Technology at TNAU since September 8, 2021.

šŸ†Awards:

Dr. R. Gangai Selvi has received several prestigious awards in recognition of her contributions to academia and research. In 2014, she was honored with the Scientist Associate Award by the Society for Scientific Development in Agriculture & Technology (SSDAT). She was awarded the Young Scientist Award (YSA) by the Institute of Researchers in 2021. Her excellence in teaching was further acknowledged in 2022 when she received the Highly Effective 100 Teachers Award from Education Connect Plus and HypEdge Media, the Best Social Scientist Award from GRABS Awards, the Young Achiever Award from the Institute of Scholars (InSc), and the Best Faculty Award from the Indian Academic Researchersā€™ Association (IARA). Additionally, she was presented with the National Academic Excellence Award, specifically the Dr. Sarvepalli Radhakrishnan Best Teacher & Researcher Award in Statistics by the International Multidisciplinary Research Foundation (IMRF) in 2022. Most recently, in 2023, she was honored with the Asian Admirable Achievers Award.

Publication Top Notes:

  • Unmanned Aerial Vehicle-Measured Multispectral Vegetation Indices for Predicting LAI, SPAD Chlorophyll, and Yield of Maize by Parida, P.K., Somasundaram, E., Krishnan, R., Sangeetha, S.P., Gangai Selvi, R.
  • Farmersā€™ resilience index: A tool to metricize the resilience of the farmers towards natural disasters affecting agriculture in India by Raahalya, S., Balasubramaniam, P., Nirmala Devi, M., Maragatham, N., Gangai Selvi, R.
  • Estimation of soil carbon pools under major cropping systems of Mayiladuthurai district of Cauvery Delta Zone, Tamil Nadu, India by Prabakaran, S., Kaleeswari, R.K., Backiyavathy, M.R., Gangai Selvi, R., Sathiya Bama, K.