Silpa Sivadas
Marayamangalam
Summary
To obtain a challenging position that fully utilizes my skills and provides me with suitable opportunities to grow my technical and communication skills which would help me as a fresher to grow while working towards the organizational goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Assistant professor position.
Overview
1
1
Certification
Work History
Assistant Professor
UNIVERSAL ENGINEERING COLLEGE
2024.04 - 2024.05
- Revised course objectives, course materials, instructional and assessment strategies for subject courses.
Education
MTech, Computer Science, FC -
Calicut University, Nehru College
01.2018
B.E, Computer Science, FC -
Anna University, Nehru College
01.2013
PUC, FC -
CBSE, Central School
01.2009
SSLC, Distinction -
CBSE, Central School
01.2007
Skills
- Oops concepts, Manual Testing and Basics of SQL
- Lecturing
- Mentoring students
- Online Teaching
- Meeting participation
Certification
- Completed “Manual Testing” at QSpiders Mysore in the Year Nov-2021.
- Preparing for UGC NET exam for June 2024 through online coaching institute named Iplus, Adoor, Kerala.
Projects
A Secure Erasure Code-Based Cloud Storage System (B.E), This project is used for designing a cloud storage system for robustness, confidentiality and functionality. This is used to build a threshold proxy re-encryption technique to enable improved security for data apart from the basic encryption schemes that limits the functionality of the storage system. A decentralized erasure code is an independently computes each codeword symbol for a message. The encryption scheme supports decentralized erasure codes over encrypted messages and forwarding operations over encrypted and encoded messages. Our system is highly distributed where storage servers independently encode, and forward messages and key servers independently perform partial decryption., Java, MySQL Data Anonymization on Map-Reduce Cloud Using Optimized TPTDS (MTech), This project is used to hide sensitive or identity information from external users on cloud platform. To make full use of the parallel capability of MapReduce on cloud, specializations required in an anonymization process are split into two phases. In the first one, original data sets are partitioned into a group of smaller data sets, and these data sets are anonymized in parallel, producing intermediate results. In the second one, the intermediate results are integrated into one, and further anonymized to achieve consistent k-anonymous data sets., Apache Hadoop, MySQL
Disclaimer
I here declare that the above information is true to the best of my knowledge.
Timeline
Assistant Professor
UNIVERSAL ENGINEERING COLLEGE
2024.04 - 2024.05
MTech, Computer Science, FC -
Calicut University, Nehru College
B.E, Computer Science, FC -
Anna University, Nehru College
PUC, FC -
CBSE, Central School
SSLC, Distinction -
CBSE, Central School