Aadithyan Vijaya Raghavan
Graduate Assistant at Cleveland State University
Cleveland State University
https://www.linkedin.com/company/cleveland-state-university
Cleveland, Ohio, United States
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Graduate Assistant
Cleveland State University
https://www.linkedin.com/company/cleveland-state-university
Graduate Research Assistant at Intelligent Communications & Autonomous Systems Laboratory (ICAS).
Cleveland, Ohio, United States
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Graduate Research Assistant
TAGV Embedded Solutions Private Limited
https://www.linkedin.com/company/tagv-solutions
Performed fault and tolerance testing on RF, GSM, GPS Modules. 
Worked on troubleshooting faulty modules.
Hyderabad, Telangana, India
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Embedded Engineer
Mavericks India
https://www.linkedin.com/company/themavericksindia
Worked as the Chief Operations Officer at Mavericks India, a platform where students undergoing professional courses can express themselves to their peers and learn and grow along with them.
Hyderabad Area, India
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Chief Operations Officer
Electronics Corporation of India Limited (ECIL)
https://www.linkedin.com/company/electronics-corporation-of-india-limited-ecil
Designed a smart lighting system for homes using FPGA.
Hyderabad Area, India
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Intern
Master of Science - MS
Electrical and Electronics Engineering
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Cleveland State University
https://www.linkedin.com/school/cleveland-state-university/
Bachelor of Technology
Electronics and Communications Engineering
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BV Raju Institute of Technology (BVRIT)
https://www.linkedin.com/school/bv-raju-institute-of-technology-bvrit-/
Physics, Mathematics, Chemistry and Computer Science
61%
St Andrews High School
76%
St Andrews High School
ABSTRACT:
 Automatic face recognition (AFR) technologies have seen exciting advances in performance over the past years, and such they are now extensively used for security and commercial applications. An automated system for human face recognition in a real-time background which can be useful for a wide range of applications ranging from marking attendance of students to identifying criminals/high profile people in a locality. So using real-time face recognition is a real-world solution that comes with day to day activities of handling various activities. This task, however, is very difficult as real-time background subtraction in an image is still a challenge. To detect human faces in real-time, a simple fast Principal Component Analysis is used to recognize the faces identified with a high accuracy rate. Our system uses the Speeded Up Robust Features (SURF) [1] method to detect human faces and maintains the collection of user facial features as datasets and uses them for verification. Keywords: Speeded Up Robust Features (SURF); Image Processing; Automatic Face Recognition (AFR).
Smart Face Recognition System
International Journal of Engineering Research and Applications
https://bit.ly/3a8rQ85
This paper is about automating the irrigation process in agriculture field. This is achieved by using smart system based on NodeMCU, Moisture sensor, Humidity sensor. The NodeMCU is a microcontroller unit with an inbuilt Wi-Fi communication module. The Moisture sensor collects the moisture level from the soil and sends the data to the NodeMCU similarly the humidity sensor also collects the humidity level of the atmosphere and sends the data to the NodeMCU. Once the NodeMCU receives all the data, depending on the data it has received and the inbuilt data it sends a pulse to the relay module which in-turn switches on the pump. This way the process of manual irrigation is eliminated and helps the farmers to concentrate their workforce on other major areas.
Smart Irrigation System Based on NodeMCU
International Organisation of Scientific Research
http://www.iosrjournals.org/iosr-jece/papers/Vol.%2014%20Issue%205/Series-1/A1405010104.pdf
ABSTRACT:
Automatic face recognition (AFR) technologies have seen exciting advances in performance over the past years, and such they are now extensively used for security and commercial applications. An automated system for human face recognition in a real-time background can be useful for a wide range of applications ranging from marking attendance of students to identifying criminals/high profile people in a locality. So using real-time face recognition is a real-world solution that comes with day to day activities of handling various activities.
This task, however, is very difficult as real-time background subtraction in an image is still a challenge. To detect human faces in real-time, a simple fast Principal Component Analysis is used to recognize the faces identified with a high accuracy rate. Our system uses the Speeded Up Robust Features (SURF) [1] method to detect human faces and maintains the collection of user facial features as datasets and uses them for verification.
Keywords: Speeded Up Robust Features (SURF), Image Processing, Automatic Face Recognition (AFR)
WIZMO: A Face Detection Robot
ABSTRACT:
The impact of Wireless Sensor Networks (WSN) provides a new path to development and research on precision farming. It is mainly focused upon various WSN usage and issues related to that and overcoming the challenges in it to enhance precision agriculture. To eye on particular specifications and requirements, it is mandatory to analyze the devices used, the technology behind the Wireless Sensor Network. The main objective is to design a device that could improve efficiency and performance by reducing water usage by performing irrigation and enhance soil fertility. The end-user requirements have been identified using a set of high-level scenarios, which capture the context and illustrate the motivation for building the platform. To interconnect with the IoT, a working Wi-Fi module known as Node MCU ESP8266 is used. 
This Wi-Fi module is designed in such a way that it incorporates Arduino in it and it can be connected to available LAN. DHT11 sensor is used to calculate the temperature and humidity present in the air and soil, also moisture sensor (YL-69) is used to find the moisture levels present in the soil. The devices are interconnected to the Node MCU ESP8266 module and the program is written to perform the desired function. The main objective is to utilize the technology to build a platform for automatically controlled irrigation.

Keywords: Irrigation; Sensor Network; NodeMCU ESP8266;
“Smart Irrigation System using NodeMCU."
Designed a smart home lighting system that works on the principle of Field Programmable Gate Array (FPGA).
FPGA Implementation of Smart Home System.
Science and Technology
NASSCOM
https://www.linkedin.com/company/nasscom-india
Was in charge of various things ranging from registrations to making sure that various sessions, like the panel discussions, keynotes, student conference, etc proceeded smoothly.
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Volunteer
Science and Technology
BV Raju Institute of Technology (BVRIT)
https://www.linkedin.com/company/bv-raju-institute-of-technology-bvrit-
Was in charge of various things ranging from registrations to making sure that various sessions proceeded smoothly at the National tech event (PROMETHEAN).
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Volunteer Staff
Social Services
Josh Talks
https://www.linkedin.com/company/joshtalks
Worked as Event Partners with Josh Talks to help them host their event in Hyderabad.
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Management Staff
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Proud to be recognized in the 2022 U.S. News & World Report rankings as the #1 Public University in Ohio for Social Mobility.https://lnkd.in/eMh5kQgf
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I feel proud to have received the Bristol PLUS Award this academic year. In this remarkable and challenging year, I feel gratified for going beyond…