Faculty
Landline No. : 022 6644 6108
Extension No. : 6108
B-510, K J SOMAIYA School of Engineering, SOMAIYA VIDYAVIHAR UNIVERSITY, VIDYAVIHAR
MON-FRI 9 AM to 5 PM
(To update profile)
Mr. Umang Patel is an accomplished AI and ML Engineer based in Mumbai, India, currently pursuing a Ph.D. at DAIICT with a research focus on machine learning and signal processing. Serving as an Assistant Professor at Somaiya Vidyavihar University, Mr. Patel has a robust background in machine learning, signal processing, and deep learning. He has contributed significantly to the field through various publications, including research on enhancing the transferability of adversarial attacks on speaker recognition systems and COVID-19 case predictions using advanced regression models.
Mr. Patel's diverse skill set includes proficiency in programming languages and tools such as Python, TensorFlow, Keras, MATLAB, and experience in web development using the MERN stack. His work on Indian Sign Language recognition and translation, along with his contributions to various conferences and journals, showcases his commitment to advancing technology for societal benefit. His academic pursuits and practical expertise position him as a leading expert in his field, dedicated to developing innovative AI and ML solutions.
SSC,Maharashtra,2006
DIPLOMA,Autonomous College,2010
BE,MUMBAI,2013
ME,MUMBAI,2018
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STTP/FDP/WS Course attended:
? one-week STTP attend on the Topic of “CCNA Routing & Switching: introduction to Networks” from 1-6 th July 2019.
? Two-week online FDP on “Embedded UVM open source Emulation & Functional Verification” from 13-24th July 2020
? Four week contributed as faculty mentor for “Basics of Prompt Engineering Learn to communicate better with AI” in month of April 2023.
? Five days online FDP on “AI, ML & DL” , origination by NIT Warangal, during 2nd – 6 th of Oct 2023.
STTP Course Organized:
? one-week STTP attend on the Topic of “industrial IoT System Design from Sensing to Mitigation” from 10-14th June 2019.
? one-week online FDP on the Topic of “Sensor, IoT & Machine Learning” from 1-5 th June 2020
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