SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

Dr. SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

Research Fellow at Trinity College Dublin, Ireland.

πŸ“Œ Dr. Susam Boral is a Research Fellow at Trinity College Dublin, specializing in mathematical modeling, wave interactions, and hydroelasticity. He earned his Ph.D. in Hydroelasticity from IIT Kharagpur (2022) and has held research positions at Harbin Engineering University and IIT Kharagpur. His expertise includes two-point boundary value problems, dissipative nonlinear SchrΓΆdinger equations, and potential flow analysis. Dr. Boral has organized international workshops, collaborated with esteemed institutions like Cambridge University and the University of Newcastle, and published extensively in high-impact journals.

Professional Profile:

Google Scholar

Education πŸŽ“

  • πŸ“ Executive PG Certification in Data Science & AI – IIT Roorkee & Intellipaat (2024–Present)
  • πŸ“ Ph.D. in Hydroelasticity – IIT Kharagpur (2022)
  • πŸ“ M.Sc. in Applied Mathematics – University of Calcutta (2018)
  • πŸ“ B.Sc. in Mathematics (Hons.) – University of Calcutta (2016)

Experience πŸ†

  • πŸ”¬ Research Fellow, Trinity College Dublin, Ireland (Nov 2024 – Present)
  • πŸ—οΈ Postdoctoral Fellow, Harbin Engineering University, China (June 2023 – Oct 2024)
  • πŸ” Research Associate, IIT Kharagpur, India (March 2023)

Professional Development & Achievements πŸ“š

  • πŸ… CSIR Senior Research Fellowship, India (2020–2022)
  • πŸ… CSIR Junior Research Fellowship, India (2018–2020)
  • πŸ† First Rank in M.Sc. & B.Sc. Mathematics, University of Calcutta
  • 🌍 Visiting Researcher, Isaac Newton Institute, Cambridge University (2023)
  • 🌏 SPARC Visiting Scholar, University of Newcastle, Australia (2020)
  • πŸŽ“ Workshop Organizer, International Workshop on Mathematics of Sea Ice and Ice Sheets (MOSSI) (2023–2024)

Publication Top Notes

πŸ“– The role of viscoelastic foundation on flexural gravity wave blocking in shallow water β€“πŸ“‘ 16 citations | πŸ“… 2021

🌊 Bragg scattering of long flexural gravity waves by an array of submerged trenches and the analysis of blocking dynamics – Β πŸ“‘ 15 citations | πŸ“… 2021

🧊 Bragg scattering of flexural-gravity waves by a series of polynyas in the context of blocking dynamics – πŸ“‘ 12 citations | πŸ“… 2023

🌊 Time-dependent flexural gravity wave scattering due to uneven bottom in the paradigm of blocking dynamics – πŸ“‘ 9 citations | πŸ“… 2023

πŸ” Gravity wave interaction with an articulated submerged plate resting on a Winkler foundation β€“Β πŸ“‘ 9 citations | πŸ“… 2022

Dr. Avanka Lowe | Computational Nanotechnology | Best Researcher Award

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.

πŸŽ“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.

🏒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.

πŸ…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)