Pragati Tripathi – Biomedical Engineering – Best Researcher Award

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Ms. Pragati Tripathi distinguished academic and researcher in the field Biomedical Engineering.  She has held multiple academic positions since 2018, beginning as an Assistant Professor in the Department of Electronics and Communication Engineering at Vision Institute of Technology, Kanpur. She then transitioned to roles such as Research Associate at Sharda University, Greater Noida, and subsequently as an Assistant Professor in the same field at I.T.S Greater Noida. Currently, she serves as an Assistant Professor and Chief of Operations and Experiments (C.O.E.) in the ECE Department at I.T.S Greater Noida, where she also played a pivotal role in establishing an IoT lab. Her contributions extend beyond teaching, as evidenced by her involvement in hosting e-Yantra programs and workshops, including one conducted in collaboration with IIT Bombay. Furthermore, she has coordinated mini-projects for second and third-year students, managed data for R&D consultancy, and contributed to the improvement of departmental logistics and student performance. Her proactive approach is reflected in her creation and implementation of activities aimed at enhancing student careers and her active participation in departmental and college initiatives, where she has supported various functional activities and committees.

 

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing a Ph.D. in Artificial Intelligence & Machine Learning at Gautam Buddha University, Greater Noida, a journey she embarked on in 2019. Prior to this, she completed her MTech in Power Electronics & Drives from the same institution in 2018. Her educational journey began with a Master’s in Electronics from C.S.J.M. University, Kanpur, in 2016, following which she obtained a Bachelor’s degree from the same university in 2014. She completed her Intermediate education at Virendra Swarup 21st Century, Kanpur, in 2011, and her High School education at Vikram Khanna High School, Kanpur, in 2009. Through her academic pursuits, she has demonstrated a commitment to expanding her knowledge and expertise in the field of electronics and related disciplines.

 

INTERNATIONAL CONFERENCES 🎟️

She has made significant contributions to the field of engineering and technology, as evidenced by her numerous publications and presentations at international conferences. Her research interests span across various domains, including artificial intelligence, smart communication, medical imaging, and renewable energy systems. Notable works include her studies on signal processing techniques for medical applications, such as denoising electrocardiogram signals and analyzing brain tumor detection through MRI. Additionally, she has explored topics in energy efficiency, such as modeling hybrid PV-diesel-battery systems and analyzing the stability of VSC-HVDC transmission systems. Her research endeavors also extend to innovative technologies like IoT-based weather monitoring systems and the mathematical modeling of graphene. Through her scholarly pursuits, she has demonstrated a commitment to advancing knowledge and innovation in engineering, contributing to the scientific community’s understanding and application of emerging technologies.

 

Honors & Awards 🏆🏆🥇

She has garnered numerous awards and achievements throughout her academic and extracurricular endeavors. Notable among these are her participation in events like Abhivyanjana in 2016 and 2017, where she served as a co-coordinator. Additionally, she demonstrated her leadership skills as a co-coordinator at the NanofiM International Conference in 2017 and various IEEE events. Her active involvement in IEEE activities earned her recognition, including the Outstanding Volunteer Award in the IEEE GBU Branch and the Outstanding Social Media Coordinator Award in the IEEE Delhi Region. Furthermore, she has contributed to sports events such as football and badminton, achieving commendable results like runner-up and securing the 2nd position. Her versatile engagement extends to English Group Discussions and football tournaments, showcasing her diverse interests and contributions to both academic and extracurricular spheres.

 

POSITION &RESPONSIBILITY

She has actively contributed to various projects and events, showcasing her organizational skills and leadership capabilities. As a Supervisor, she led a major project on IoT-based Agricultural monitoring systems at the Department of ECE, I.T.S. Engineering College during the 2023-24 session. Her role extended to being the Organizing Secretary for the Inter-College Tech-Vision Project Exhibition Competition at I.T.S Greater Noida in 2023, where she ensured the smooth execution of the event. Furthermore, she served as an Organizer for Nano fiM, an international conference held at Gautam Buddha University in 2017, and as a Coordinator for the International Conference (ELECRAMA2018) at Auto Expo, Greater Noida. Her dedication to extracurricular activities is evident through her volunteer work as a student coordinator in the Art Club at Gautam Buddha University from 2016 to 2018. Additionally, she took on the responsibility of organizing cultural events like the Cultural Fest, AbhiyanJana, at Gautam Buddha University in 2017, demonstrating her commitment to enhancing the campus experience for her peers.

 

Publications📚📚

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.

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