Dr T Thimmaiah Institute of Technology promotes and encourages research culture among faculty and students. Research centre under VTU has been established in all departments which promote research culture among students and faculty and facilitate to carry out research work. The institute also has start-up supporting Mechanism of Higher Educat Institutes (HEI’s). The vision is to create collaborations with the real world and enhance Research through carrying out projects in the latest applied fields. Faculty and students are encouraged to carryout research, publish papers and apply for patents.

Sl No	Research Guide	Department	Scholar	Title	Year of Registration
1	Dr Syed Ariff	Dept of Civil Engineering	Mrs. Maneela M	Study on soil strength variability and its impact on slope stability	2018
2	Dr H G Shenoy	Dept of Mechanical Engineering	Mr. Prithvi H M	Evaluation of mechanical & tribological properties ALZN alloy with various conditions	2013
		Dept of Mechanical Engineering	Mr. s Anitha Devi S H	Investigation of thermo mechanic properties of thin laminated fiber reinforcement polymer composites	2017
3	Dr P D Surdersanan	Dept of Mechanical Engineering	Mr. Ramesha K	Experimental Investigation and optimization of joining of dissimilar aluminum alloys by friction stir welding	2016
		Dept of Mechanical Engineering	Mr. Kalyan Kumar	The study of IC engine performance by ceramic coated piston and its mechanical properties.	2018
4	Dr K M Palani swamy	Dept of Electronics & Communication	Ms Chennaveramma	Improved spatial efficiency of m-array PSK modulation techniques using low complexity LBTC codec for wireless communication	2017
		Dept of Electronics & Communication	Mr. Srinivas Babu N	Human activity recognition using deep learning approaches	2020
5	Dr Geetha C Megaraj	Dept of Computer Science & Engineering	Premalatha.D	Trust Management Models for Improved Security in Social Internet of things	2024
		Dept of Computer Science & Engineering	Thara Devi M	Predictive Modelling for Early Detection of Sepsis using Deep Learning Models	2024
6	Dr. Kharmega Sundararaj G	Dept of Computer Science & Engineering	LEKHA S	Abnormality Segmentation and Classification of Cervical Cancer using Deep Learning Method	2024
		Dept of Computer Science & Engineering	S SUDHA	Integrating Healthcare IoT data to Perform Efficient Predictive Analysis Support using Machine Learning Algorithms	2024

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