Posted on 18/12/202318/12/2023 by ScienceFatherLeave a Comment on Harshavardhan Awari – Machine Learning-Healthcare 68 / 100 Powered by Rank Math SEO 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: scholar scopus Orcid Researcher Id 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: Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication Editorial Member for the Lattice Science Publication Reviewer for the Imaging Science Journal Reviewer for the ICCINS-2022 Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021) Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems 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 Harshavardhan Awari – Machine Learning-Healthcare