Noelle Clerkin | Health Professions | Best Researcher Award

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Ms. Noelle Clerkin | Health Professions | Best Researcher Award

University of Suffolk | United Kingdom

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Early Academic Pursuits 🎓

Ms. Noelle Clerkin embarked on her academic journey with a foundation in health sciences. She completed her BSc (Hons) in Diagnostic Radiography from the University Campus Suffolk in 2009, following her outstanding performance in secondary education, where she earned several honors. Her academic progression is marked by continuous specialization, including a Postgraduate Certificate in Mammography from University College Dublin (2013), further deepening her expertise in breast imaging and clinical communication.

Professional Endeavors 👩‍⚕️

Ms. Clerkin's professional career is diverse and impactful. She currently serves as the Breast Service Manager at the Belfast & Social Health and Care Trust, where she leads the breast imaging services with a strong focus on service modernization and clinical excellence. Her previous roles include serving as a Deputy Breast Service Manager, Lead Clinical Practice Educator, and Advanced Practitioner at the Belfast Trust. She has also been actively involved in academia, contributing as a Visiting Lecturer at the University of Suffolk and an External Examiner at Kingston University.

Contributions and Research Focus 🔬

With a strong focus on breast cancer screening, Ms. Clerkin has made significant contributions through her research and publications. Her work explores factors influencing diagnostic performance in mammography reporting. She has authored papers on the role of Radiography Advanced Practitioners (RAPs) and their impact on breast cancer screening outcomes. Her research has been featured in leading journals like Radiography and presented at international conferences, such as the European Congress of Radiology and UK Imaging and Oncology Congress, highlighting her commitment to advancing breast cancer diagnostics.

Accolades and Recognition 🏆

Ms. Clerkin’s expertise in radiography has been recognized through her multiple speaking engagements and presentations at prestigious conferences across Europe. Her research has earned her a reputable presence in the field of breast cancer imaging, with several conference presentations on RAP performance in breast cancer screening. This continuous contribution to knowledge underscores her role as a thought leader in the radiography and oncology communities.

Impact and Influence 🌍

As both a healthcare leader and academic, Ms. Clerkin has greatly influenced the fields of breast imaging and clinical education. She has played a pivotal role in shaping breast screening services in the Belfast Trust and has contributed to the education and development of radiographers. Her partnership with educational institutions such as the Nottingham Breast Institute of Education further emphasizes her impact on the future of healthcare professionals in the radiography sector.

Legacy and Future Contributions 🌟

Ms. Noelle Clerkin’s legacy lies in her dual roles as a clinical leader and academic scholar. Her ongoing PhD research in Health and Biological Sciences promises to yield further insights into breast cancer diagnostics, while her leadership in breast screening services ensures she continues to make a direct impact on patient care. Looking ahead, her work will likely shape the evolution of breast imaging services and radiography education for years to come.

 

Publications

📄 An initial exploration of factors that may impact radiographer performance in reporting mammograms
Authors: N. Clerkin, C. Ski, M. Suleiman, Z. Gandomkar, P. Brennan, R. Strudwick
Journal: Radiography
Year: 2024

📄 Identification of factors associated with diagnostic performance variation in reporting of mammograms: a review
Authors: N. Clerkin, C.F. Ski, P.C. Brennan, R. Strudwick
Journal: Radiography
Year: 2023

📄 Radiographers filling the mammography screening gap, but where's the evidence?
Authors: N. Clerkin, C.F. Ski, P.C. Brennan, R. Strudwick
Journal: Radiography
Year: 2023

📄 An initial exploration of factors that may impact radiographer reporting of mammography images
Authors: N. Clerkin, C.F. Ski, P.C. Brennan, R. Strudwick
Journal: Radiography
Year: 2024

 

Debapriya Banik | Computer Science | Best Researcher Award

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Dr. Debapriya Banik | Computer Science | Best Researcher Award

ICFAI University | India

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Early Academic Pursuits

Dr. Debapriya Banik embarked on his academic journey with a solid foundation in secondary and higher secondary education at Holy Cross School in Agartala, achieving commendable scores in both ICSE and ISC examinations. His passion for Computer Science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Engineering at the National Institute of Technology Agartala, where he graduated with a CGPA of 7.59. His pursuit of higher education continued at Tripura University, where he excelled in his Master of Technology (M.Tech) in Computer Science and Engineering, earning a gold medal for securing the highest percentage. Dr. Banik's academic endeavors culminated in a Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Jadavpur University, where he focused on developing computer-aided techniques for the early prediction of colorectal cancer based on diagnostic image analysis.

Professional Endeavors

Dr. Banik's professional career is marked by diverse and impactful roles in academia and industry. He began his career as a consultant at Polaris Financial Technology Ltd in Chennai, gaining valuable industry experience. Transitioning to academia, he served as a Junior Research Fellow (JRF) on a DBT Twinning Project at Jadavpur University, working on techniques for pain management and breast cancer using IR imaging. He then became a Senior Research Fellow (SRF)-Direct at Jadavpur University under the sponsorship of the Council for Scientific and Industrial Research, Government of India. His academic career continued to flourish as he took on roles as an Assistant Professor at Techno India in Kolkata and later at ICFAI University in Tripura, where he currently teaches in the Department of Computer Science & Engineering.

Contributions and Research Focus

Dr. Banik's research has significantly contributed to the field of computer science, particularly in medical image analysis. His Ph.D. thesis focused on developing computer-aided techniques for the early prediction of colorectal cancer, leveraging diagnostic image analysis. Additionally, he has worked on the design and development of techniques for pain management and breast cancer using IR imaging. His innovative research approaches have not only advanced the field but also provided practical solutions for critical medical challenges. Dr. Banik's work is characterized by a strong focus on applying machine learning and computational techniques to enhance diagnostic accuracy and efficiency.

Accolades and Recognition

Dr. Banik's academic excellence and research contributions have earned him numerous awards and recognitions. He was awarded a gold medal for his outstanding performance in M.Tech at Tripura University. He received the DST-Inspire fellowship from the Department of Science and Technology, Government of India, and the North Eastern Council (NEC) Scheme fellowship for postgraduate studies. Dr. Banik secured the first position in the Workshop on Machine Learning for Medical Image Analysis (WMLMIA) - Fetal Ultrasound Censor (FUC) Grand Challenge, organized by the Department of Electrical Engineering at IIT Kharagpur. Additionally, he had the opportunity for a short-term research visit to the Medical University of Vienna, Austria, sponsored by DST, Government of India, where he worked on developing a computer-assisted diagnosis system for segmenting and detecting abnormalities and diseases under the supervision of Prof. Christian Kollman.

Impact and Influence

Dr. Banik's work has had a profound impact on the field of medical image analysis, particularly in the early detection and management of diseases such as colorectal and breast cancer. His research has paved the way for more accurate and efficient diagnostic tools, improving patient outcomes and contributing to the advancement of medical technology. As an educator, he has influenced and mentored numerous students, fostering a new generation of computer science professionals who are equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

Dr. Banik's legacy lies in his dedication to advancing the field of computer science through innovative research and his commitment to education. His work continues to inspire researchers and students alike, and his contributions to medical image analysis have set a high standard for future research in the field. Looking ahead, Dr. Banik aims to further his research on computer-aided diagnosis systems, exploring new applications and techniques to address emerging challenges in healthcare. His future contributions are expected to continue making significant strides in improving diagnostic accuracy and patient care through advanced computational methods.

 

Notable Publications

Robust medical and color image cryptosystem using array index and chaotic S-box 2024

dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation 2024

2pClPr: A Two-Phase Clump Profiler for Segmentation of Cancer Cells in Fluorescence Microscopic Images 2023 (2)

RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition 2022 (1)

LwMLA-NET: A Lightweight Multi-Level Attention-based NETwork for Segmentation of COVID-19 Lungs Abnormalities from CT Images 2022 (39)