Changheun Hyun Oh – Medical Image Reconstruction- Best Researcher Award

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Changheun Hyun Oh – Medical Image Reconstruction

Changheun Hyun oh distinguished academic and researcher in the field Deep Learning based Medical Image Reconstruction. In terms of professional experience, he contributed to LG Electronics from 2017 to 2018. Subsequently, he joined the Neuroscience Research Institute of Gachon University in Fall 2018, where he has been actively involved in research endeavors. Throughout his educational and professional journey, he has demonstrated a commitment to advancing the field of Electrical Engineering and contributing to both academic and industrial domains.

 

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. degree in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) during the period of Fall 2011 to Fall 2020, under the guidance of Professor HyunWook Park in the Image Computing System Lab. Prior to that, he completed his M.S. degree in Electrical Engineering at KAIST from Fall 2009 to Spring 2011, continuing his research with Professor Park. His academic journey at KAIST began with a B.S. degree in Electrical Engineering, spanning from Spring 2005 to Spring 2009.

conferences

He has actively contributed to numerous international conferences, showcasing his research in the field of Electrical Engineering and Medical Imaging. In 2011, as the first author, he presented a paper on “A Switching Circuit for the Rx Signal in the MRI System” at the International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). Subsequently, he continued to make significant contributions to conferences such as the International Forum on Medical Imaging in Asia and the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

His research work encompasses diverse topics, including the optimization of RF birdcage coils, the development of an optimum RF shield for simultaneous MRI-PET systems, and innovations in MRI techniques like water-fat separation and diffusion-weighted imaging. He also explored applications beyond medical imaging, such as his involvement in the International Symposium on Electronic Art and the International Society for Music Information Retrieval Conference.

In 2018, he presented a paper on “ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network” at the First International Workshop on Machine Learning in Medical Image Reconstruction, held in conjunction with the International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018. His research continued to advance in 2020, where he discussed “A direct MR image reconstruction from k-space via End-To-End reconstruction network using recurrent neural network (ETER-net)” at the Annual Meeting of the ISMRM.

In 2022, as the first author, he presented another breakthrough with “A deep learning based direct mapping method for EPI image reconstruction” at the Annual Meeting of the ISMRM. His active participation in these conferences reflects his dedication to pushing the boundaries of knowledge in his field and applying cutting-edge technologies to advance medical imaging techniques.

 📚Top Noted Publication

 

 

Syarawi Sharoni – Remote Sensing – Network Analytics Academic Achievement Award

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Syarawi Sharoni – Remote Sensing

Dr. Syarawi Sharoni  distinguished academic and researcher in the field Remote Sensing .  He is a lecturer at the Geophysics Department within the School of Physics at Universiti Sains Malaysia. With a profound passion for Earth science, he possesses a strong background in oceanography and microwave remote sensing. His research primarily revolves around exploring Earth’s extreme natural phenomena through the utilization of satellite-based platforms. Currently, he is particularly focused on observing colossal tropical cyclone events on a global scale. Leveraging his extensive experience and expertise in MATLAB programming, coupled with proficiency in machine learning, he adeptly handles high-volume data and employs unique processing techniques in his investigations.

Eduvation

In 2010, he embarked on his academic journey at Selangor Matriculation College, achieving a perfect score of 4.00 out of 4.00 in the Foundation of Physical Science. This solid foundation paved the way for his pursuit of higher education, leading him to Universiti Sains Malaysia, where he earned a Bachelor of Science (Hons.) in Geophysics in 2014 with an impressive GPA of 3.44 out of 4.00.

Driven by a passion for exploring the depths of the ocean, he continued his academic endeavors at the University of Southampton in the United Kingdom. In 2016, he completed a Master of Research in Ocean Sciences, achieving a second-class classification for his exemplary work in the field.

Undeterred by the challenges of academia, he further honed his expertise in remote sensing, specializing in Scale B1 with minor corrections, during his doctoral studies at Universiti Teknologi Malaysia. In 2022, he successfully earned his Ph.D. in Remote Sensing, showcasing his dedication and commitment to advancing knowledge in this specialized field. These academic achievements collectively reflect his unwavering pursuit of excellence and his contributions to the realms of geophysics, ocean sciences, and remote sensing.

Professional Profiles:

Professional Experience

He began his professional journey in 2013 as a trainee at the Geoscience Division of the Mineral and Geoscience Department in Malaysia. Following this initial experience, he transitioned to the private sector, where he served as an Imaging Geophysicist in the Imaging and Engineering Department at Petroleum Geo-Service (PGS)(M) Sdn.

Bhd. from 2014 to 2015. In 2017, he further enriched his career by taking on the role of a tutor within the School of Physics at Universiti Sains Malaysia. Demonstrating a commitment to both practical applications and academic pursuits, he currently holds the position of Senior Lecturer in the Geophysics Group at the School of Physics, Universiti Sains Malaysia, a role he has been dedicated to since 2022. This professional journey underscores his diverse experience, encompassing training, industry work, and academic contributions in the field of geophysics.

Fellowships / Awards  

He has been affiliated with Universiti Sains Malaysia as a fellow from 2015 to 2022, during which he was granted funding for both his Master’s and Ph.D. studies. This period of academic engagement and support culminated in significant achievements, including the receipt of a Silver Medal in the Graduate Research Exhibition (GREx) in 2021. His academic journey commenced earlier with a scholarship from the Government of Malaysia, which supported his Bachelor of Science studies from 2011 to 2014.

Notably, he demonstrated academic excellence during his undergraduate years by earning a place on the Dean’s List in two semesters. Additionally, his commitment to the field was recognized in 2013 when he secured the 3rd Place in the GeoQuiz Petroleum & Geoscience Conference Exhibition. This rich academic and research background illustrates his dedication to advancing knowledge and achieving excellence in geophysics.

Supervisions                                                                                                                                                                      

In his role as a Senior Lecturer within the Geophysics Group at the School of Physics, Universiti Sains Malaysia, he is actively involved in supervising various research projects at different academic levels. Currently, Duan Liyuan is pursuing a Ph.D., focusing on the high-precision InSAR monitoring and identification of large-scale geological disasters. Another Ph.D. candidate, Khan Muhammad, is engaged in advanced quantitative interpretation and seismic attributes analysis for reservoir characterization and fracture prediction. At the master’s level, Nik Raisyha is working on a project that involves the tropical cyclone characterization from microwave remote sensing observation.

In addition to supervising postgraduate research, he guides undergraduate students on diverse projects. Among the ongoing Bachelor of Science projects, Vikna and Kah Ching are investigating the influence of the Madden Julian Oscillation on the South China Sea Region. Another team, Nelly Anuar and Aishah Alimi, is exploring the impact of the Indian Ocean Dipole on the same region, while Asilah Abdul Hannan and Nurul Izzah Mustafa have successfully completed their project on the variations of tropical cyclone activity in the South China Sea in 2023. Furthermore, Nurin Nadhirah Hairi Zahril and Syasya Aqilah Abdul Razak have also completed their investigation on the influence of ENSO activity on sea level variations in the marginal South China Sea in 2023. This diverse range of research projects underscores his commitment to fostering a comprehensive understanding of geophysics and related phenomena across different academic levels.

publications

Sankar Shanmuganathan – Generative adversarial networks

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Dr. Sankar Shanmuganathan – Leading Researcher in Generative adversarial networks

Dr.  Sankar Shanmuganathan  a distinguished academic and researcher in the field of Generative adversarial networks. He is currently serving as a Professor in the Department of Computer Science and Engineering at Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India. A dedicated, resourceful, and goal-driven professional educator, he is passionate about programming and has a solid commitment to academic growth. With over 20 years of experience, he is a seasoned researcher and has taught courses for both undergraduate and postgraduate students. He has successfully supervised 20 Bachelor’s theses and 10 Master’s theses, demonstrating his mentorship skills. His contributions extend to publishing articles in peer-reviewed journals and conferences, obtaining three patents, and securing grants from AICTE for organizing technical events.🌟💻🔬

Eduvation

He completed his Ph.D. in Information Technology from Hindustan University in 2018. 🎓 Prior to that, he earned a Master’s degree in Software Engineering from Periyar Maniammai College of Technology, affiliated with Anna University, Chennai, Tamil Nadu, in 2006, achieving a first-class distinction. 🏆 His academic journey began with a Bachelor’s degree in Computer Engineering from Arulmigu Kalasalingam College of Engineering, Srivilliputhur, Tamil Nadu, in 1992, where he also excelled with a first-class distinction. 🏅 This degree was affiliated with Madurai Kamaraj University, Madurai, Tamil Nadu. 🌟

Professional Profiles:

RESEARCH ACTIVITIES

🗣️He has obtained three patents from IP Australia, showcasing his innovative contributions. The first patent, dated October 27, 2021 (Patent No: 2021102955), is titled “A System and Method for Agile Meeting Dashboard.” The second patent, dated May 5, 2021 (Patent No: 2021101703), pertains to “3D Printing of Cost-Effective Human Skull Models and Skull Implants.” The third patent, dated April 7, 2021 (Patent No: 2021100286), is for “Aqua Life: A Compact Device Extracting Drinkable Water from Sea Water.”

In addition to his research achievements, he has undertaken various consultancy projects. Notably, he developed a software product for MEL Systems and Services Ltd, Chennai, involving the creation of advanced reports using Python, Django, and MongoDB. Another significant project involved the development of a software product to detect glaucoma in optical coherence tomography images for M/s Appasamy Associates R & D, Chennai, implemented in Java and Matlab.

Furthermore, he contributed to software bug fixing for General Electricals T & D Limited, Chennai, utilizing VB.NET technology. Additionally, he conducted corporate training for General Electricals T & D Limited, Chennai, imparting VB.NET platform skills to GE employees, preparing them to independently develop utility software. The funds received for training amounted to Rs. 2,00,000. Overall, his diverse expertise and accomplishments reflect his commitment to both innovation and practical application in the field.

BOOKS AUTHORED / CHAPTER CONTRIBUTED

AUTHORED BOOK on OBJECT ORIENTED PROGRAMMING Published by Laxmi PublicationsChennai,
2009
CHAPTER CONTRIBUTED LEAN SIX SIGMA: SIX SIGMA PROJECTS AND PERSONAL EXPERIENCEPublished by In-Tech Open Access Publications, Crotia, 2012

RESEARCH PAPERS PUBLISHED

  • Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
    • Authors: J.C. Sekhar, Ch Rajyalakshmi, S. Nagaraj, S. Sankar, Rajesh Saturi, A. Harshavardhan
    • Published in: Journal of King Saud University – Computer and Information Sciences
    • Volume 35, Issue 10, December 2023
    • DOI: 10.1016/j.jksuci.2023.101848
  • Exploration of Performance of Dynamic Branch Predictors used in Mitigating Cost of Branching
    • Authors: Akash Ambashankar, Ganesh Chandrasekar, AR Charan, S Sankar
    • Published in: 2022 IEEE Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
  • AI Enabled Educational Bot to Improve Learning Outcomes using Bag of Words Algorithm
  • Intelligent Organ Transplantation System Using Rank Search Algorithm to Serve Needy Recipients
    • Authors: S Sankar, U Shuruti, B Bhuvaneshwari
    • Published in: 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
  • Understanding Query Intention in Search Queries of Learners in Blended Learning Environments
    • Authors: Vivekananthamoorthy Natarajan, Sankar Shanmuganathan
    • Published in: 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
  • Sign language translator using YOLO algorithm
    • Authors: Bhavadharshini, M., Josephine Racheal, J., Kamali, M., Sankar, S.
    • Published in: Advances in Parallel Computing, 2021, 39, pp. 159-166
  • Detection of Anomalous Behaviour in Online Exam towards Automated Proctoring
    • Authors: Susithra V, Resham A, Bishruti Gope, Sankar
    • Published in: IEEE International Conference on System, Computation, Automation and Networking
    • DOI: 10.1109/ICSCAN53069.2021.9526448
  • Development of Novel Technique to Detect and Validate Pulmo Malignancy during Early Stages
    • Authors: Dhanalakshmi R, Shree Harini R, Pravallika M, S Sankar
    • Published in: International Journal of Current Research and Review, volume: 13 issue: 17, pp. 56-60, 12th September 2021
    • DOI: http://dx.doi.org/10.31782/IJCRR.2021.131711
  • Sentiment Analysis of Twitter Political Data using GRU Neural Network
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: International Journal of Advanced Science and Technology 29(6), pp. 5307-5320, ISSN 2207-6360, SERSC Australia
  • Sentimental Analysis On Twitter Data Of Political Domain
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: Dogo Rangsang Research Journal, UGC Care Group I Journal, Vol-10 Issue-07 No. 16 July 2020, ISSN:2347-7180
  • An Improved Framework for Sentiment Analysis for College Reviews
    • Authors: T. Sri Devi, R. Dhanalakshmi, S. Sankar
    • Published in: International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1959-1963