Tag: Healthcare Technology

Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

Publications

📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024

📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024

📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023

📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023

📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022

Govindaraj Sabarees | Materials Science | Best Researcher Award

Posted on 03/09/202403/09/2024 by Book of Award

Dr. Govindaraj Sabarees | Materials Science | Best Researcher Award

Shri Venkateshwara College of Pharmacy | India

Author Profile

Early Academic Pursuits 🎓

Dr. Govindaraj Sabarees began his academic journey with a solid foundation in pharmacy. He earned his B. Pharmacy degree from Sankaralingam Bhuvaneshwari College of Pharmacy, Sivakasi, Tamil Nadu, achieving first-class honors. This was followed by an M. Pharmacy in Pharmaceutical Chemistry from C.L. Baid Metha College of Pharmacy, Chennai, where he also graduated with first-class distinction. His academic achievements laid the groundwork for his research-oriented career.

Professional Endeavors 🏢

Dr. Sabarees gained significant experience as a Bioanalytical Research Associate at Amaris Clinical, a division of Caplin Point Laboratories, Chennai. During this period, he honed his skills in bioanalytical methods, high-end equipment handling, and synthetic organic chemistry. His hands-on experience in these areas has contributed to his expertise in pharmaceutical research, particularly in the development and validation of analytical methods.

Contributions and Research Focus 🔬

Dr. Sabarees has made substantial contributions to pharmaceutical research, particularly in the field of wound healing and molecular docking. His research includes the discovery of curcumin analogs as potential wound healing agents and the development of novel electrospun nanofibers for biomedical applications. His work has been widely published in reputable journals, showcasing his ability to bridge the gap between theoretical research and practical applications in medicine.

Accolades and Recognition 🏆

Throughout his career, Dr. Sabarees has received recognition for his contributions to pharmaceutical research. His participation in various national and international conferences, where he has presented his findings, has earned him a respected place in the academic and research community. His publications in high-impact journals further underscore his commitment to advancing the field of pharmaceutical sciences.

Impact and Influence 🌍

Dr. Sabarees's research has had a significant impact on the development of new therapeutic agents and materials, particularly in the area of wound management. His work on molecular docking and dynamics simulations has opened new avenues for drug discovery and development. His influence extends to his role as a mentor and educator, where he has guided junior researchers and pharmacy students, helping shape the next generation of pharmaceutical scientists.

Legacy and Future Contributions 🌟

As Dr. Sabarees continues to advance in his career, his ongoing research and future projects promise to make lasting contributions to the field of pharmaceutical sciences. His work on electrospun nanofibers and molecular docking is likely to lead to new breakthroughs in drug delivery systems and therapeutic materials. Dr. Sabarees's legacy will be one of innovation, dedication, and a commitment to improving healthcare outcomes through cutting-edge research.

Publications

📖 Fabrication of Quercetin-Functionalized Morpholine and Pyridine Motifs-Laden Silk Fibroin Nanofibers for Effective Wound Healing in Preclinical Study
Authors: Govindaraj Sabarees, Vadivel Velmurugan, Siddan Gouthaman, Viswas Raja Solomon, Subramani Kandhasamy
Journal: Pharmaceutics
Year: 2024

📖 Advances in Electrospun Chitosan Nanofiber Biomaterials for Biomedical Applications
Authors: Ganesan Padmini Tamilarasi, Manikandan Krishnan, Govindaraj Sabarees, S. Gouthaman, Alagarsamy Veerchamy, Viswas Raja Solomon
Journal: Materials Advances
Year: 2023

📖 Discovery of new naphthyridine hybrids against enoyl-ACP reductase (inhA) protein target of Mycobacterium tuberculosis: Molecular docking, molecular dynamics simulations studies
Authors: Govindaraj Sabarees, Vadivel Velmurugan, Viswas Raja Solomon
Journal: Chemical Physics Impact
Year: 2023

📖 Recent Trends in Electrospun Antibacterial Nanofibers for Chronic Wound Management
Authors: Ganesan Padmini Tamilarasi, Govindaraj Sabarees, Krishnan Manikandan, Siddan Gouthaman, Veerachamy Alagarsamy, Viswas Raja Solomon
Journal: Current Nanomedicine
Year: 2023

📖Recent Developments in Electrospun Nanofibers as Delivery of Phytoconstituents for Wound Healing
Authors: Govindaraj Ajith, Ganesan Padmini Tamilarasi, Govindaraj Sabarees, Siddan Gouthaman, Krishnan Manikandan, Vadivel Velmurugan, Veerachamy Alagarsamy, Viswas Raja Solomon
Journal: Drugs and Drug Candidates
Year: 2023

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Posted on 20/08/202420/08/2024 by Book of Award

Dr. Esi Elliot | Business, Management and Accounting | Best Researcher Award

University of Texas at Rio Grande Valley | United States

Author Profile

Early Academic Pursuits 📚

Dr. Esi Elliot began her academic journey with a Bachelor of Science in Banking and Finance from the University of Ghana, followed by an MBA in International Business from Schiller International University, United Kingdom. She pursued further studies with a Ph.D. in Business Administration (Marketing) from the University of Illinois at Chicago, laying a strong foundation for her future career in academia and business.

Professional Endeavors 💼

Dr. Elliot's professional career is marked by her roles as an Assistant Professor of Practice in International Business and Entrepreneurship at the University of Texas at Rio Grande Valley. She has also served as an Assistant Professor of Marketing at Midwestern State University, Suffolk University, and a Visiting Assistant Professor at George Washington University. Her professional journey includes significant contributions in teaching international business, marketing, and entrepreneurship at various esteemed institutions.

Contributions and Research Focus 🔍

Dr. Elliot's research focuses on international business, globalization, and entrepreneurship. Her work includes studies on value co-creation, digital financial services in emerging markets, and strategic financial management. Notable publications include articles in the Journal of Business Research and Sustainability, contributing valuable insights into customer experience, environmental sustainability, and digital financial inclusion.

Accolades and Recognition 🏆

Dr. Elliot has received several prestigious awards for her contributions to academia and industry. Highlights include the Global Black Women in Banking and Finance Annual Honors Award and recognition for innovative excellence in marketing education from the American Marketing Association. She has also been acknowledged for her academic excellence and contributions to teaching and research through various awards and honors.

Impact and Influence 🌍

Dr. Elliot's impact extends beyond academia into the realms of business and innovation. Her role as CEO of Anansewaa Global Market Foundation and her pro-bono consulting for the African Continental Free Trade Area demonstrate her commitment to youth development and entrepreneurial support. Her innovative approaches in marketing and product development have significantly influenced the banking industry in Ghana.

Legacy and Future Contributions 🌟

Dr. Elliot's legacy is defined by her dedication to education, research, and professional excellence. Her future contributions are likely to continue shaping the fields of international business and entrepreneurship through innovative research and impactful teaching. Her ongoing efforts to support entrepreneurial development and global business strategies will undoubtedly leave a lasting impact on the academic and professional communities.

Publications 📚

📝 Environmental sustainability and customer experience in emerging markets
Authors: Tsetse, E.K.K., Adams, R., Elliot, E.A., Downey, C.
Journal: Business Strategy and the Environment
Year: 2024

📝 From racialized brands to authentic brands: Dynamic conceptual blending
Authors: Elliot, E.A., Cavazos, C., Chow, A.M.
Journal: Journal of Global Scholars of Marketing Science
Year: 2024

📝 Customer Value Co-Creation: Environmental Sustainability as a Tourist Experience
Authors: Elliot, E.A., Adams, R., Tsetse, E.K.K.
Journal: Sustainability (Switzerland)
Year: 2023

📝 Ethnic chambers of commerce and co-creation of value: a synthesis of cultural and networking competencies
Authors: Elliot, E., Smith, R.S., Bicen, P.
Journal: Journal of Research in Marketing and Entrepreneurship
Year: 2023

📝 Digital Financial Services and Strategic Financial Management: Financial Services Firms and Microenterprises in African Markets
Authors: Elliot, E.A., Cavazos, C., Ngugi, B.
Journal: Sustainability (Switzerland)
Year: 2022

📝 Mobile Financial Services at the Base of the Pyramid: A Systematic Literature Review: An Abstract
Authors: Dadzie, C.A., Kwaramba, M., Elliot, E.
Journal: Developments in Marketing Science: Proceedings of the Academy of Marketing Science
Year: 2022

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Posted on 20/08/202420/08/2024 by Book of Award

Assist Prof Dr. Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

SRM Institute of Technology | India

Author Profile

Early Academic Pursuits 🎓

Dr. Vidhushavarshini Sureshkumar's academic journey is a testament to her dedication to excellence. She earned her Ph.D. in Information and Communication Engineering from Sona College of Technology under Anna University in 2022. Prior to this, she completed her M.E. in Computer Science and Engineering from Vinayaka Missions Kirubanandha Variyar Engineering College, achieving first-class honors. Her academic accomplishments extend to various domains, including an MBA in Human Resource Management and an M.Sc. in Psychology from IGNOU and Madras University, respectively, showcasing her interdisciplinary approach to education.

Professional Endeavors 💼

Dr. Vidhushavarshini's professional career spans several esteemed institutions. Currently, she serves as an Assistant Professor (Senior Grade) at SRM Institute of Technology. She has previously held positions at Sona College of Technology and Gnanamani College of Technology, where she contributed as both a faculty member and a research scholar. Her roles have not been limited to academia; she has also been a subject matter expert and content developer for SkillUp Technologies. Her career is marked by a strong commitment to student development, as evidenced by her work in placement training, curriculum design, and as a class counselor.

Contributions and Research Focus 🔬

Dr. Vidhushavarshini's research interests lie in Bioinformatics, Machine Learning, Deep Learning, and Data Science, among others. She has published extensively in high-impact journals, with significant contributions to the fields of thyroid disease classification, breast cancer diagnosis, and cardiovascular disease prediction using advanced computational techniques. Her work integrates cutting-edge technologies like IoT, deep learning, and XGBoost, addressing critical issues in healthcare and computer science.

Accolades and Recognition 🏅

Throughout her career, Dr. Vidhushavarshini has received numerous accolades for her academic and professional contributions. She has been recognized for securing the top rank in technical English assessments and has played a pivotal role as a resource person in faculty development programs. Her achievements in securing placements for students in multinational corporations highlight her influence as an educator and mentor.

Impact and Influence 🌍

Dr. Vidhushavarshini's impact extends beyond the classroom. Her leadership in organizing workshops on artificial intelligence, deep learning, and ethical hacking has empowered countless students and professionals. She has also contributed to national and international conferences, sharing her expertise and fostering collaborations that push the boundaries of technology and education.

Legacy and Future Contributions 🌟

Dr. Vidhushavarshini's legacy is defined by her unwavering commitment to education and research. As she continues to advance in her career, her future contributions promise to be just as impactful. With a strong foundation in interdisciplinary studies and a passion for innovation, she is poised to make significant strides in the fields of computer science and engineering, leaving an indelible mark on the academic and professional communities.

Publications 📚

📝Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Author : Jaganathan, D., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024

📝An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction
Author : Revathi, T.K., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024

📝A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods
Author : Sureshkumar, V., Jaganathan, D., Ravi, V., Velleangiri, V., Ravi, P.
Journal & Year : Open Bioinformatics Journal, 2024

📝Smart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-Time Patient Diagnosis
Author : Paulraj, K., Soms, N., David Samuel Azariya, S., Jeba Emilyn, J., Sureshkumar, V.
Journal & Year : OCIT 2023 - 21st International Conference on Information Technology, Proceedings, 2023

📝Optimization of Process Parameters on Wire Cut Electrical Discharge Machining and Surface Integrity Studies of AA6070/MgO Composites
Author : Vinoth, S., Rajasekar, C., Sathish, P., Hasane Ahammad, S., Girimurugan, R.
Journal & Year : Journal of Physics: Conference Series, 2023

Harikumar Rajaguru | Engineering | Best Researcher Award

Posted on 22/07/202422/07/2024 by Book of Award

Dr. Harikumar Rajaguru | Engineering | Best Researcher Award

Bannari Amman Institute of Technology | India

Author Profile

Early Academic Pursuits

Dr. Harikumar Rajaguru began his academic journey in electronics and communication engineering. He completed his Bachelor of Engineering in Electronics and Communication Engineering from Regional Engineering College, Trichy, affiliated with Bharathidasan University, in 1988. He then pursued a Master of Engineering in Applied Electronics at the College of Engineering, Guindy, under Anna University Chennai, graduating in 1990. His passion for biomedical signal processing led him to obtain a Ph.D. in Information and Communication Engineering, with a specialization in Bio Signal Processing, from Thiagarajar College of Engineering, Madurai, under Anna University Chennai in 2009. His Ph.D. thesis focused on the use of soft computing techniques and non-linear models for the performance analysis and classification of epilepsy risk levels from EEG signals.

Professional Endeavors

Dr. Rajaguru's professional career spans over 33 years in academia. He began as a lecturer and senior lecturer at PSNA College of Engineering and Technology, Dindigul, where he served for ten years. He then worked as an Assistant Professor at PSG College of Technology, Coimbatore, for one year. His journey continued at Amrita Institute of Technology, Coimbatore, as a Senior Lecturer and Assistant Professor for over two years. Dr. Rajaguru also spent time as a research scholar at Thiagarajar College of Engineering, Madurai. Since 2006, he has been a professor at Bannari Amman Institute of Technology, Sathyamangalam, where he has contributed significantly to the field of biomedical signal processing and soft computing.

Contributions and Research Focus

Dr. Rajaguru has made substantial contributions to biomedical signal processing, particularly in the classification of epilepsy risk levels from EEG signals. He has been involved in several funded projects, including the development of an ASIC fuzzy processor for diabetic epilepsy risk level classification, wavelet networks for epilepsy risk levels classification from EEG signals, and a non-invasive photo plethysmographic-based glucometer for mass diabetes screening. His research primarily focuses on applying soft computing techniques and developing non-linear models for analyzing and classifying biomedical signals.

Accolades and Recognition

Throughout his career, Dr. Rajaguru has received numerous accolades and recognition for his contributions to engineering and biomedical signal processing. He has published multiple papers in SCI-indexed journals and conferences, showcasing his research findings and innovations. His work has been recognized with patents for various biomedical devices, including an electro gastrogram system for detecting gastric disorders, a sensor for stress measurement using photo plethysmography, and a device for detecting ventricular tachycardia. These patents highlight his innovative approach to solving complex biomedical problems.

Impact and Influence

Dr. Rajaguru's work has significantly impacted biomedical signal processing, particularly in the analysis and classification of epilepsy risk levels and the development of non-invasive diagnostic tools. His research has provided new insights into the use of soft computing and wavelet networks in biomedical applications. His contributions have influenced both academic research and practical applications in the medical field, improving diagnostic techniques and patient outcomes.

Legacy and Future Contributions

Dr. Rajaguru's legacy lies in his dedication to advancing biomedical signal processing through innovative research and teaching. He has guided numerous students in their research projects, fostering the next generation of engineers and researchers. As he continues his work at Bannari Amman Institute of Technology, he is poised to make further contributions to the field, particularly in developing new diagnostic tools and techniques for medical applications. His commitment to research and education ensures that his influence will be felt for years to come, both in academia and the broader field of biomedical engineering.

Notable Publications

Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis 2023 (5)

Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images 2023 (6)

Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance 2023 (1)

Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift 2023 (6)

Debapriya Banik | Computer Science | Best Researcher Award

Posted on 16/07/202416/07/2024 by Book of Award

Dr. Debapriya Banik | Computer Science | Best Researcher Award

ICFAI University | India

Author profile

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

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

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

Yunyoung Nam | Computer Science | Best Researcher Award

Posted on 10/07/202411/07/2024 by Book of Award

Prof. Yunyoung Nam | Computer Science | Best Researcher Award

Soonchunhyang University | South Korea

Author Profile

Early Academic Pursuits

Prof. Yunyoung Nam began his academic journey with a focus on Information and Communication. He achieved significant recognition early in his career, earning the Presidential Award for Excellence in Graduate School of Information and Communication in both 2003 and 2007. He also received the Dasan Fellowship from Ajou University in 2000, demonstrating his potential and commitment to his field from the start.

Professional Endeavors

Prof. Nam's professional career is marked by a series of progressive roles in academia and research. He served as a Senior Researcher at the Ubiquitous Convergence Research Institution from 2007 to 2010, followed by multiple postdoctoral positions at Stony Brook University-SUNY and Worcester Polytechnic Institute. He transitioned to academia as a Research Assistant Professor at Ajou University before joining Soonchunhyang University, where he has held positions as Assistant Professor, Associate Professor, and currently, Professor since 2023.

Contributions and Research Focus

Prof. Nam's research interests span a wide range of cutting-edge topics, including multimedia information retrieval, digital signal processing, machine learning methods for multimedia applications, and biomedical engineering. His contributions to these fields are substantial, with notable projects such as the development of a 3D deep-learning-based diagnosis platform for retinal disease, and a smartphone-based diagnosis and referral platform for chronic diseases. His research has been supported by prestigious organizations, including the National Research Foundation (NRF) and the Ministry of Science, ICT, and Future Planning (MSIP).

Accolades and Recognition

Throughout his career, Prof. Nam has been recognized for his exceptional contributions to research and academia. He has received the Presidential Award for Best Researcher at Soonchunhyang University three times (2015, 2018, 2020), highlighting his sustained excellence in research. Additionally, he was included in the 2011 edition of Who's Who in America, further acknowledging his influence and impact in his field.

Impact and Influence

Prof. Nam's impact extends beyond his research contributions. As an educator, he has taught a wide range of courses at Soonchunhyang University, including C#, AI, algorithms, data structure, discrete mathematics, and software engineering. His commitment to teaching and mentorship has influenced many students and upcoming researchers. Moreover, his membership in several professional associations such as IEEE and the Korea Information Processing Society, and his editorial roles in various journals, underscore his active involvement in the academic community.

Legacy and Future Contributions

Prof. Nam's legacy is defined by his relentless pursuit of knowledge and innovation in multimedia applications and biomedical engineering. His research projects, such as the RNA Innovation Human Resources Project for the Hyper-connected Convergence Industry, and the training of experts for the intelligent home care industry, are paving the way for future advancements. As he continues to lead and innovate, Prof. Nam's future contributions are expected to significantly influence both academic research and practical applications in his areas of expertise.

Notable Publications

Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets 2024

Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network 2024 (5)

A gamified cognitive behavioral therapy for Arabs to reduce symptoms of depression and anxiety: A case study research 2024

Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model 2024

Sarka Lisonkova | Health Professions | Women Research Award

Posted on 24/06/202424/06/2024 by Book of Award

Assoc Prof Dr. Sarka Lisonkova | Health Professions | Women Research Award

The University of British Columbia | Canada

Author Profile

Early Academic Pursuits

Dr. Sarka Lisonkova's academic journey began at Palacky University in Olomouc, Czech Republic, where she earned her MD degree in 1994. She then pursued a Master's degree in Epidemiology at the State University of New York, USA, completing it in 1999. Her academic excellence continued at the University of British Columbia (UBC) in Canada, where she obtained her PhD in Epidemiology in 2009. Following her PhD, Dr. Lisonkova undertook post-doctoral research at UBC, focusing on epidemiological studies from 2009 to 2012.

Professional Endeavors

Dr. Lisonkova’s professional career is marked by significant roles both before and during her tenure at UBC. Before joining UBC, she was an Assistant Professor at Palacky University and a Visiting Researcher at the Scientific Institute of Public Health Louis Pasteur in Brussels, Belgium. At UBC, she has held various positions, starting as a Social Science Researcher from 2000 to 2007, advancing to a Research Associate, and then to an Assistant Professor in Obstetrics and Gynecology from 2014 to 2019. She has been an Associate Professor in the same department since 2019 and is also an associate member of the School of Population and Public Health since 2015.

Contributions and Research Focus

Dr. Lisonkova has made substantial contributions to the field of Obstetrics and Gynecology, particularly in reproductive and child health sciences. She developed OBST 504, a course that emphasizes the critical appraisal of research in reproductive and children's health sciences, which has been incorporated into UBC’s curriculum. Her research interests include maternal and perinatal epidemiology, with a focus on understanding the factors underlying maternal and neonatal health outcomes. She is also actively involved in international collaborations aimed at preventing preterm births and improving neonatal health.

Accolades and Recognition

Throughout her career, Dr. Lisonkova has received numerous awards and distinctions. Some notable recognitions include the Harold A. Kaminetzky Prize Paper award in 2018 for her co-authored paper on maternal mortality in the United States and the Highly Cited Research Award from the American Journal of Obstetrics and Gynecology in 2016. Additionally, she has received various scholarships and fellowships, such as the Senior Graduate Scholarship from the Canadian Institutes for Health Research and the Graduate Scholarship from the Michael Smith Foundation for Health Research.

Impact and Influence

Dr. Lisonkova's impact extends beyond her research contributions. She has been actively involved in shaping future research agendas through her participation in national and international workshops and committees. Notably, she was invited to the Core Stillbirth Estimation Group by the United Nations and has contributed to the Society of Obstetricians and Gynaecologists of Canada’s workshop on maternal mortality and morbidity. Her leadership in the New Vulnerable Newborn Measurement collaboration highlights her influence in neonatal health research.

Legacy and Future Contributions

Dr. Lisonkova's legacy in the field of Obstetrics and Gynecology is characterized by her dedication to improving maternal and neonatal health outcomes through rigorous research and international collaboration. Looking forward, her ongoing work with the PREBIC collaboration and other international initiatives positions her to continue making significant contributions to the field. Her commitment to education and mentorship also ensures that her influence will be felt by future generations of researchers and healthcare professionals.

Notable Publications

A history of recurrent pregnancy loss is associated with increased perinatal complications, but not necessarily a longer birth interval: a population study spanning 18 years 2024

Variation in Episiotomy Use Among Nulliparous Individuals by Maternity Care Provider and Associated Rates of Obstetric Anal Sphincter Injury 2024

Severe Maternal Morbidity and Mental Health Hospitalizations or Emergency Department Visits 2024

Maternal mortality in the United States: are the high and rising rates due to changes in obstetrical factors, maternal medical conditions, or maternal mortality surveillance? 2024 (6)

Gozde Ozaras Oz | Nursing and Health Professions | Best Researcher Award

Posted on 10/06/202410/06/2024 by Book of Award

Assist Prof Dr. Gozde Ozaras Oz | Nursing and Health Professions | Best Researcher Award

Cankiri Karatekin University | Turkey

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