Sooryansh Singh

Highly-motivated candidate with desire to take on new challenges. Strong work ethic, adaptability and exceptional interpersonal skills with ability to work effectively unsupervised, and quickly master new skills.

• Collaborated with my colleagues to work on “Electricity by Movement” in Mini Project Contest organized by Department of Physics, SRM University, Ramapuram Campus.
• Performed analysis in collaboration with Civil Department team on the mathematical model “Mathematics behind Space shuttle launch and Re-entry” in Mathematical modeling organized by Department of Mathematics, SRM University, Ramapuram Campus.
• Executed collaborative research with my team for the mini project and published paper on “Intelligent Fire Emergency Response System” (IJARTET Vol. 4, Special Issue 19, April 2017, ISSN 2394-3785) at International Conference organized by King’s Engineering College, Chennai. Examined the drawbacks and flaws in the current existing system and found that intelligent fire emergency response system including WMSN, and information fusion technology based on Dempster-Shafer evidence theory can detect the exact location and status of fire and people trapped in the building using CMOS image sensors. All the information gathered by CMOS image sensors will be automatically fast processed using DSP chips. The information fusion technology will fuse the information arriving from different sensors and provide best evacuation plan. It will provide directional guidance smartly with the safest path and helps in quick evacuation using intelligent slide system plus automatic Safe haven .Earthquake cum fire proof bed is used when the structure properties of the building gets damaged or the building is going to collapse. The emergency response plan to fire disaster can save many lives with less energy consumption.
• Successfully led the team in the final semester project “IOT based water quality monitoring system (IJRITT Vol. 4, Issue 3, ISSN: 2454-1400)”and published paper concerning the same at IJRITT. Studied about the flaws and drawbacks in the current existing system and found that it consumes manual power and time to regularly check the quality of water and is not economical and is highly convoluted but by using this sensor values, we get from different sensors like pH, salt, conductivity & LDR, we can continuously track the data, and analyze it with the ARM module with the help of ZigBee module sending data signals to it. And if any problem occurs in the quality of water then the back-end information system will send an alert message to the authorized person by using the internet, and by this the problem can be eradicated.