Ms. Neha Jagwani
Designation: Teaching Assistant
Academic Area: Machine Learning
Brief Profile:
Ms. Neha Jagwani is Teaching Assistant in Information and Communication Technology (ICT) at Adani University. Her expertise is in the area of Wireless Sensor Networks and Machine Learning. She has 3 years of experience in academics and 3 years of experience in industry.
Prior to joining Adani University, she was associated with SkillFloor Solutions Pvt Ltd., Bangalore as Data Scientist Mentor. She has also worked in TCS Bangalore for approximately 2.5 years.
She holds a bachelor’s degree in Electronics and Communication Engineering and Masters in VLSI and Embedded Systems. She is pursuing PhD in the field of Wireless Sensor Networks and Machine Learning from BMS College of Engineering, Bangalore.
PhD in EC with specialization in Wireless Sensor Networks, Pursuing, VTU (Bangalore); ME, VLSI and Embedded Systems, 2015;
BE, Electronics and Communication Engineering, 2013
- Data Science Mentor in SkillFloor Solutions Pvt Ltd, Bangalore
- PhD Research Scholar in BMS College of Engineering Bangalore.
- System Engineer in TCS Bangalore.
- Wireless Sensor Networks
- Machine Learning
- Deep Learning
- Wireless Sensor Networks
- Machine Learning
- Effect of Gate and Channel Engineering on Digital Performance Parameters Using Tied (3T) and Independent (4T) Double Gate MOSFETs, 2015 IEEE International Symposium on Nanoelectronic and Information Systems.
- A Survey on Detecting Location-Based Faults in Wireless Sensor Networks Using Machine Learning and Deep Learning Techniques
https://www.springerprofessional.de/a-survey-on-detecting-location-based-faults-in-wireless-sensor-n/24060762
