š EducationĀ
Ph.D. (2023āPresent): mmWave Imaging via FMCW Radar, SRM University, AP. M.Tech (2018ā2021): Internet of Things, JNTUA College of Engineering, Ananthapur. B.Tech (2014ā2017): Electronics & Communication Engineering, JNTUA College of Engineering, Ananthapur. Diploma (2010ā2013): Electronics & Communication Engineering, ARIES Polytechnic College. SSC (Schooling): Sri Sathya Sai Deenajanodharana Pathakam, Puttaparthi.
š¢ ExperienceĀ
Assistant Professor (2022ā2023): Gudlavalleru Engineering College, handled IoT, Machine Learning, and Instrumentation. Assistant Professor (2021ā2022): Sanskrithi School of Engineering, taught Analog Circuits and Communication Systems. Internships: DQA & Power BI Analysis (Efftronics Pvt. Ltd., Vijayawada, 2020ā2021). ATCS Traffic Control System (Efftronics Pvt. Ltd., 2018ā2019). CI & Lean Leader (Amara Raja Electronics, 2013).
š Awards & HonorsĀ
Accepted papers in SPACE 2024 and MAPCON 2024 for mmWave radar innovations. Multiple journal submissions to IEEE SENSOR Journal in progress. Presented impactful work on SAR modeling, AI, and radar technology at prestigious conferences. Recognition in professional internships for automation, data analytics, and innovation in radar technology.
š¬ Research FocusĀ
mmWave Imaging: Advanced radar techniques, 2D SAR imaging, and wall-interference modeling. Internet of Things (IoT): Seamless integration of smart devices and systems. Artificial Intelligence (AI): Machine learning applications in imaging and data analytics. Data Analysis: Power BI for large-scale fault detection and performance metrics.
Conclusion
Wadde Chandraās solid educational background, hands-on research experience, and contributions to conferences make him a strong candidate for the Best Researcher Award. Continued progress in publishing impactful journal articles and expanding his professional network would bolster his candidacy and establish him as a prominent figure in his research fields.