Siddharth Lotia
- B.Tech - Electronics and Communication Engineering (2018-22)
- International Institute of Information Technology, Naya Raipur (IIIT-NR)
- Phone: +91-9406020745
- Email: siddharthlotia04@gmail.com, siddharth.lotia@iiitb.ac.in
- LinkedIn
- Resume
EXPERIENCE
- Junior Research Fellow, MINRO, IIIT Bangalore (Jul 2023 – Ongoing)
- Working on EEG signals generated by the brain to study the impact of meditation using signal processing and machine learning tools.
- Using signal processing, study the regions of brain signals that correspond to multiple things, such as stress, and mind wandering.
- IoT Developer Intern, Chara Technologies, Bangalore (Jan 2022 – Sept 2022)
- It is a young motor tech startup working on making rare earth-free motors; I worked as part of the Software Team.
- Worked on a cloud connectivity project to send motor data to the cloud for related visualizations and analytics.
- Worked on Embedded Programming on vehicle features for a famous EV company (name hidden for client confidentiality).
- Research Intern (Mitacs Globalink), École de technologie supérieure (ETS), Montréal, Quebec, Canada (May 2021 – Aug 2021)
- Worked on efficient management of IoT Resources through Container Orchestration Techniques using Docker Swarm.
- Also applied reinforcement learning to add self-adaptability to the purpose further.
- IoT Systems Intern, Indian Institute of Technology, Bhilai (May ’19 – Jul ’19 & Dec ’19 – Jan ’20)
- Activity data (VeDBA) was collected from a monitoring tag over Bluetooth Low Energy System and its optimizations.
- Worked on ARM Processor, I2C programming, and used CMake and MakeFile of the Build Systems.
- Worked on Embedded Programming, which helped in Bluetooth Low Energy Advertisement System.
- Research paper Published in this work: “On Achieving Hidden Markov Model Estimation Freshness in Sensor Networks” at IEEE ANTS Goa, India 2019.
EDUCATION
- B.Tech, IIIT Naya Raipur
- Senior Secondary, CBSE
- Secondary, CBSE
TECHNICAL/RESEARCH PROJECTS
- Breathing Rate Estimator
- The project aimed to measure the person’s breathing rate using the in-built microphone of your smartphone.
- An anomaly in the value of breathing rate can be used to detect pre-symptoms of various respiratory diseases, including COVID-19, among others.
- Convolutional Neural Network-based Criminal Detection System
- Criminal tendency in a person is detected with the help of semantic/facial analysis using various deep learning model architectures.
- Research Paper Published in this work: “Convolutional Neural Network Based Criminal Detection Technique” at IEEE TENCON Japan 2020.
- Generative Text from Emoji
-It was a real-life industry-based problem statement by Samsung R&D Institute Bangalore. We created a data set of more than 6,000 texts with six emojis, and we used the Sequence to Sequence model to extract meaningful sentences from it.
TECHNICAL SKILLS
- Languages: Embedded C Programming, MATLAB, Verilog, Python, C++
- Software Skills: Cloud Computing (AWS), Deep Learning Applications, IoT applications, Embedded Systems
- Microcontrollers/Boards: Arduino, Raspberry Pi, ESP8266 (Node MCU)
POSITIONS OF RESPONSIBILITY
- Admin Lead of Editorial Team Fenestra (2019-20)
- Fenestra is the official Students’ magazine of IIIT NR. Led the initiative to re-introduce our institute magazine in a new state-of-the-art manner.
- Vice-Secretary of CoMeT (2019-20)
- Comet is the Electronics Club of IIITNR and conducted technical competitions, talks, and workshops on trending topics from the world of electronics.
- Press and Media In-charge Scientific (2020)
- Managed all press and media during the annual flagship event of IIITNR. Conducted interviews with special delegates regarding their experience of the event.
ACHIEVEMENTS
- Awarded the Prestigious AICTE-Mitacs Globalink Research Internship 2021 by Mitacs Canada at ETS Montréal, Canada.
- Recognized by the Ministry of Education, Govt of India for the above achievement.(tweet link)
- Finalist of Samsung Prism (by Samsung Research Institute Bangalore) Hackathon Codefest 1.0.