Some Highlights of Students’ Research Strengthening students’ research conducted at AIT Super-resolution of an Image Prithvi Raju​ Master Student Computer Science and Information Management School of Engineering and Technology​ "The evolution of surveillance techniques in the modern era has powered Artificial Intelligence by developing algorithms that provide numerous opportunities to improve security. Surveillance cameras monitoring wide field of view can result in capturing indiscernible faces which makes human activity monitoring and recognition impossible. A powerful technique such as super-resolution of an image that synthesizes a high-resolution image from a low-resolution image is a feasible solution." Impact of Carbon Nanoparticle Additive on Viscosity and Surface Tensionof Automotive Engine Oil Mr. Saikiran Gaddamedi Master Student Nanotechnology School of Engineering and Technology​ Using Nano additives to enhance the performance of lubricants in one of the trending research fields. The main objective of this study is to practically study the properties of lubricants upon addition of few carbon Nano impurities. Different carbon Nano additives like Graphite, MWCNT (Multi wall carbon Nano tubes) are blended to the commercial SAE 20W50 multi grade oil and the performance is studied at temperature ranging from - 5℃ to 80℃. We successfully fund that the viscosity of Nano lubricants were lower than that of pure base oil. Presented and was one of the Finalist during the “100 Innovations x Entrepreneurs” event, it was Southeast Asia's first Research to Commercial (R2C) Conference. TRoom Temperature Deposition of Zinc Tin Oxide (ZTO) Thin Films using Spark Deposition Technique Mr. Saikiran Gaddamedi Master Student Nanotechnology School of Engineering and Technology​ Solar Powered Automatic Weather Station (AWS-Solar) and Alert System using Smart Sensors and Systems Gajula Manoj Mahajan Master of Engineering in Remote Sensing and Geographic Information Systems ~ May 2017 School of Engineering and Technology Signal & Telecom Technician @ Indian Railways, Hyderabad, India (Government of India) Introduction: During recent years, weather is becoming a prime interest in climate change issues. Nowadays, the need of weather monitoring instruments for real-time monitoring, alarming and reporting the varying environmental conditions has become very essential. In this paper, The proposed system generates the short term local alerts based on the current weather conditions. The alarming system has been developed through a smartphone application which sends the alert messages based on the condition of the weather at that location. The AWS- Solar will be powered by using solar energy, further the change in the weather is observed on a web platforms. Conclusion: The real-time graphical charts are displayed on the smartphone application. The hourly, daily, weekly and monthly patterns of weather parameters are also shown using graphs. The upper and lower threshold values were fixed in the application for individual parameters. The real-time alerts are shown on the smartphone screen. The real time alert messages are also shown in twitter using react application which will compare the conditions and gives real time alerts. Using Geographic Information System in Mapping Risk Zones of Leptospirosis, Thailand Sravan Sajja Master of Engineering in Remote Sensing and GIS ~ May 2016 Asian Institute of Technology, Thailand Civil Works Contractor in Sarva Shiksha Abhiyan (SSA), Guntur District, Andhra Pradesh, India SUMMARY: Intensive use of Remote Sensing and Geographic Information Systems in health sector had given an opportunity for healthcare authorities to identify the risk zones for different diseases through which the services can be rendered more effectively, but this work is still under tremendous pressure especially in developing countries and countries with large population, due to the limitations in data availability. Leptospirosis is probably the world’s most widespread zoonosis of global importance. This work presents risk zone identification by finding hotspots in province level in Thailand. Leptospirosis incidence data has been prepared province level for the years 2003 to 2009. By considering average incidence of all the years, risk map is prepared. These results are been verified by the map produced by using incidence rate method. From the results we found eleven provinces in Thailand with leptospirosis incidence > 12 per 100,000 people. Karthikeya Nandanavanam VBS Sudarsan Master of Engineering in Remote Sensing and Geographic Information Systems ~ December 2018 PhD Fellow in Remote Sensing and Geographic Information Systems Asian Institute of Technology, Thailand Best Poster during FOSS4G-Asia 2018 held on December 2018 at Moratuwa, Sri Lanka Title: Development of a Mobile Online Powered Smart Weather and Air Quality Station Abstract: Most of the weather stations calculate the weather data and climate change data only at the area where the weather station is located. The Weather and Air Quality Station (W&AQ) built this research work are assembled with sensors such as BMP280, DTH22, PM2.5, Anemometer, Rain gauge, GPS and GSM module. Karthik Muthineni Master of Engineering in Information and Communication Technology (ICT) ~ July 2018 Co-Researcher at National Electronics and Computer Technology Center (NECTEC), Thailand Thesis Title: Ambient Intelligent Wireless Sensor Network for Environmental Monitoring and Indoor Localization Using an Extended Kalman Filter. Abstract: Ambient Intelligent (AmI) Wireless Sensor Networks (WSN) provide intelligent services based on user and environment data obtained by sensors. Such networks are developed to give environmental monitoring and indoor localization services. In this work, Zigbee which is a wireless communication technology is used for localization based on Received Signal Strength Indicator (RSSI) method. In practice, Extended Kalman Filter (EKF) is adapted to filter RSSI values influenced by multi-path fading and noise. Log-Normal Shadowing Method (LNSM) together with the Trilateration method was implemented to locate the position of the unknown node or entity. In addition, Cramer Rao Lower Bound (CRLB) is derived for the position estimation, that can be used to evaluate the performance of the system in terms of localization accuracy. Along with indoor localization, the deployed WSN could also monitor environment parameters like temperature and humidity surrounding entity using digital humidity and temperature (DHT11) sensor. Using Zigbee location coordinates of entity and environment parameters are transmitted to remote desktop where visualization of data is done using Matrix Laboratory (MATLAB).