Ms.Rencita Maria Colaco
Assistant Professor
Department of Artificial Intelligence and Data Science
CMR Institute of Technology, Bengaluru
Email: rencita.c@cmrit.ac.in
Assistant Professor
Department of Artificial Intelligence and Data Science
CMR Institute of Technology, Bengaluru
Email: rencita.c@cmrit.ac.in
Brief Profile:
Rencita Maria Colaco is an enthusiastic learner and accomplished professional currently serving as an Assistant Professor in the Department of Artificial Intelligence and Data Science. Holding an Mtech degree from Manipal Institute of Technology and a BE from VTU University, she brings a strong educational foundation. With 1 year and 5 months of industry experience as a GPU Software Development Engineer at Intel, Rencita has demonstrated her expertise in graphics processing. Her interests span operating systems, database management, and artificial intelligence, as evident from her various published papers.
Educational Qualification:
M.Tech, Manipal Institute of Technology(Computer Science and Information Security)
B.E, SMVITM, VTU(Computer Science & Engineering)
Experience:
Gpu Software Development Engineer at Intel, Bengaluru
Courses Teaching currently :
Operating Systems
Data Structure
Automata Theory and Compiler design
DataBase Management Systems
Scala
Areas of Interest in Teaching:
Operating Systems, Database Management, Data Structures and Algorithms, C/C++, Software Engineering.
Publications:
⦁ Rencita Colaco, Rieona Fernandes, Sharadhi shetty,"A new era of digital forensics in the form of cloud forensics: a review" at IEEE 2nd ICIRCA conference.
⦁ Rencita Colaco, Shreya,"Prediction of Healthy Diet required to Ease the recovery from Covid-19 using the approach of Machine Learning" part of Journal of Physics: Conference Series- https://iopscience.iop.org/article/10.1088/1742-6596/2161/1/012019
⦁ Rencita Colaco, Rieona Fernandes, Reenaz, Pooja, “Efficient image processing technique to authenticate Indian paper currency” at ICETSE conference.
⦁ Rencita Colaco, “Efficient Image Processing Technique for Authentication of Indian Paper Currency” at IEEE 2021 ICCCI conference.
Awards:
Best paper award for paper image processing technique for authentication of Indian paper currency. Issued by 3rd international conference on advances in computing & information technology (IACIT - 2021) - virtual conference · June 2021.