Ramin Ravangard – Healthcare Management- Best Researcher Award

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Ramin Ravangard – Healthcare Management- Best Researcher Award

Dr. Ramin Ravangard distinguished academic and researcher in the field Healthcare Management. He possesses a Ph.D. in Health Services Management from Shiraz University of Medical Sciences in Shiraz, Fars, IR. With a robust background in healthcare management, hospital management, health economics, and human resources management, he brings a wealth of education and research experience to the table.

🌐 Professional Profiles

 

Conference articles:

  • Bahadori M., Ghardashi F., Izadi A.R., Ravangard R., “Pre-hospital emergency status in Iran with an emphasis on road accidents: a systematic review”, The First National Congress of Trauma, Iran, Tehran, 2015
  • Bahadori M., Tofighi Sh., Amerioon , Ravangard R., “Evaluation of human resources productivity indicators in Baqiatollah university of military sciences”, 38th World Congress on Military Medicine, Malaysia, 2009
  • Ravangard R., Vali L., “The impact of e-learning in medical education”, 5th Asia Pacific Medical Education in a Flat World, Singapore, 2008
  • Vali L., Ravangard R., “Better medical education using modern methods”, 5th Asia Pacific Medical Education in a Flat World, Singapore, 2008
  • Ravangard R., Vali L., “Globalization effects on health outcomes and access to health care”, 35th World Hospital Congress, Seoul 2007, Korea
  • Ravangard R., Vali L., “Globalization and health care systems”, 35th World Hospital Congress, Seoul 2007, Korea
  • Maharlou H., Niakan Kalhori S.R., Ravangard R., Shahbazi Sh. Decision Tree Development to Analyze Influential Factors Effecting on Patients Length of Stay at Intensive Care Unit after Cardiac Surgery. Second National Congress of Medical Informatics and Seventh Iranian Conference on e-Health, Tarbiat Modares University, Tehran, Iran, July, 18th-19th, 2018
📝🔬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.

 📚Top Noted Publication

 

 

Harshavardhan Awari – Machine Learning-Healthcare

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Dr.  Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare

Dr.  Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.”

Eduvation

He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000.

Professional Profiles:

RESEARCH ACTIVITIES

He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence.

Achievements:

  1. Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021.
  2. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication
  3. Editorial Member for the Lattice Science Publication
  4. Reviewer for the Imaging Science Journal
  5. Reviewer for the ICCINS-2022
  6. Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems
  7. Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021)
  8. Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
  9. Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
Awards:

He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter.

His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022.

Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022.

In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022.

Publication

An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM

CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, …
Concurrent Engineering 29 (4), 386-395 _ 2021

Text categorization Performance examination Using Machine Learning Algorithms

BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan
IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020

IoT Based Smart Solar Atmospheric Water Harvesting System

E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, …
IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020