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

 

 

RAJESH SATURI – Deep learning

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Dr. Rajesh Saturi – Leading Researcher in Deep learning

Dr. Rajesh Saturi a distinguished academic and researcher in the field of Deep learning. He holds a wealth of academic achievements, culminating in a recently obtained Ph.D. in Computer Science & Engineering from the prestigious University College of Engineering at Osmania University in Hyderabad, completed in July 2023. Building upon this pinnacle of academic success, he also earned a Master’s degree in Computer Science & Engineering from the same institution in 2010. His educational journey began with a Bachelor’s degree in Computer Science Engineering from Kakatiya Institute of Technology and Science Engineering College, Warangal, in 2007. Prior to his undergraduate studies, he successfully completed a Diploma in Computer Science from V.M.R Polytechnic, Warangal, in 2004. His academic foundation was laid during his secondary education at St. Anthony’s High School, where he completed his SSC in the year 2000. With a comprehensive educational background, he brings a wealth of knowledge and expertise to the field of Computer Science & Engineering.🌟💻🔬

BOOKS PUBLISHED:

He, Rajesh Saturi, has made significant contributions to the field of literature through the publication of several noteworthy books. In “Fundamentals of Machine Learning Concept,” published by SK Research Group of Companies and communicated on February 23, 2023, he serves as the main author among a team of five authors. Additionally, he independently published “Theory of Computation and Automata” on July 1, 2020, through Amazon, where he stands as the main author in collaboration with four others.

Another independent publication, “Digital Image Processing,” released on June 16, 2020, features him as one of four authors, with Dr. Raju Dara as the main author. Furthermore, he authored “Data Science, Analytics, and Predictive Mining Using Open Source Tools,” independently published on July 14, 2020, through Amazon. In this work, he is listed as the main author among four contributors. Lastly, in the book “Cloud Computing,” published by RK Publishers and bearing the ISBN number 978-8119489008, he collaborates with Dr. Narayana as one of four authors. Through these publications, he has made a significant impact on the dissemination of knowledge in the realms of machine learning, computation theory, image processing, data science, analytics, and cloud computing.

Professional Profiles:

Webinars Attended:

🗣️ He has actively participated in and organized various webinars, showcasing his commitment to knowledge dissemination and professional development. Notably, he organized the webinar titled “AI & ML in Research Perspective” at Dr. M.G.R University in Chennai on March 14, 2022. Additionally, he played a pivotal role in the organization of the webinar on “NEP-2020 Implementation Plan: Multiple Entry and Exit System” conducted by UGC-HRDC-JNTUH at JNTUH on June 29, 2022. His involvement extends to webinars such as “The Art of Writing Research Papers” and discussions on “Blockchain Technology,” both organized by Chennai Institute of Technology in collaboration with Anna University, Chennai, on April 29, 2020, and May 20, 2020, respectively.

Further contributing to digital education, he actively participated in webinars on “Digital Learning” on May 9 and 16, 2020, and “Artificial Intelligence and Model-Based Design Teaching with Matlab” on June 25 and 26, 2020, all organized by Chennai Institute of Technology in Chennai. His engagement also includes the facilitation of a webinar on “Deep Learning in Telecommunications” at KIT, Coimbatore, on May 20, 2020, and an insightful session on “Introduction to Image Quality Measures” organized by Chennai Institute of Technology on May 13, 2020. Through his active involvement in these webinars, he has demonstrated his expertise and dedication to fostering learning and development in diverse domains.

WORKSHOP ATTENDED&CONDUCTED:

  1. Conducted workshop on ETHIAL HACKING by sai sathish Under CSI Student Branch in
  2. Conducted workshop on “INTERNET MARKETING” by IIM Delhi, Under CSI Student Branch in 2016.
  3. Conducted workshop on “WEB DESIGNING USING PHP “UNDER CSI 2 DAYS WORKSHOP FEB 8th &9th

ACHIEVEMENTS:

  •  Best researcher award by I20-by ministry of MSME,Govt of india  Pursuing Post Doctoral from University of South Florida, USA  under the guidance of
  • Supervisor – Prof. Bhuvan Unhelkar, University of South Florida, USA
  • Co-Supervisor -Prof. Prasun Chakrabarti, Deputy Vice Chancellor, ITM (SLS) Baroda University, INDIA .
  •   I2OR National Best  Researcher Award 2023 by MSME, Govt. of india
  •  “ACADEMIC EXCELLENCE AWARD 2023 – 2024, Novel Research Academy, accredited by the International Accreditation Forum (IAF) and Global Accreditation Assessment Forum Series (GAAFS) with ISO 9001: 2015.
  •  Editorial Member of International Journal of Internet of Things (IJIOT)
  •   Delivered Guest lecture at  Kasireddy Narayana reddy college of engineering and research, Hyderabad on 10-10-2023
  •  Reviewer for Springer conference (ICACTEA-2023)  and various journals
  •   Editorial member of American Journal of Data Mining and Knowledge Discovery

publication🌐🔧👨‍🔬

 

 

 

 

 

Maryamalsadat Mahootiha – Deep learning in medical imaging

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Maryamalsadat Mahootiha – Leading Researcher in Deep learning in medical imaging

Maryamalsadat Mahootiha  a distinguished academic and researcher in the field of Deep learning in medical imaging. She is a dedicated PhD student specializing in survival analysis with a focus on cancer prognosis. Her expertise spans cutting-edge machine learning, deep learning, medical imaging, medical statistics, and data mining. Originally from a computer science background, she seamlessly transitioned into the medical field, augmenting her knowledge with 32 credits from the University of Oslo’s medicine department.

Currently in a year-long visitation at the Artificial Intelligence in Medicine Lab at Brigham and Women’s Hospital, an affiliate of Harvard Medical School, she is actively working towards bridging and transferring knowledge from the United States to Europe. As she enters the third year of her doctoral studies in February 2024, she reflects on her significant contributions to five distinct projects related to survival analysis in cancer, with her latest project being a collaboration with the AIM group in the U.S. 🌟💻🔬

Education

She is currently pursuing her PhD at the Faculty of Medicine, University of Oslo (UiO) in Norway, focusing on survival analysis in cancer prognosis. Prior to this, she earned her Master’s degree from the Faculty of Computer and Informatics at Amirkabir University of Technology in Iran from 2018 to 2020. Her academic journey began with a Bachelor’s degree in Computer Engineering from Alzahra University, Iran, where she graduated in 2018. 🎓💻 Now, she seamlessly combines her computer science background with her passion for medical research in her doctoral studies.

Professional Profiles:

Current Position

🗣️ She is currently a Ph.D. student at Oslo University Hospital in Norway, delving into the intricacies of survival analysis in cancer prognosis. Additionally, from August 2023 to July 2024, she will be embarking on a Ph.D. student visitor role at the AIM lab, affiliated with Harvard Medical School and Brigham and Women’s Hospital in the United States. This unique opportunity allows her to contribute to cutting-edge research and collaborate with experts in the field, aligning with her broader goal of transferring knowledge from the United States to Europe. 🌍🔬 Her dual roles reflect her commitment to advancing medical research and embracing international collaboration.

AWARDS AND PRIZES

She has consistently excelled in her academic journey, earning top honors and recognition for her outstanding achievements. In 2018, she achieved the remarkable feat of being ranked 1st among all of her Bachelor’s classmates in terms of Total GPA at Alzahra University, Iran, showcasing her dedication and academic prowess. This trend continued into her Master’s program at Amirkabir University of Technology in 2020, where she once again secured the top position among her classmates in terms of Total GPA. 🏆

✨ Furthermore, her exceptional work was acknowledged in 2022 when she received recognition for the extension of a conference paper to a journal paper, earning the distinction of being among the best authors at the International Conference on Pervasive Computing Technologies for Healthcare in December 2022. 📚🎉 Her consistent academic excellence and contributions to research underscore her commitment to scholarly pursuits

publication🌐🔧👨‍🔬