
Ms. Anu Maria Joykutty
M. Tech. in Network Engineering, B.Tech in Information Technology
Asst. Professor
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
Ms. Anu Maria Joykutty received her B.Tech degree in Information Technology from Rajagiri School of Engineering & Technology, in 2005 and M. Tech. degree in Network Engineering from Rajagiri School of Engineering & Technology, in 2018. She is currently pursuing her Ph.D in Computer Science & Engineering from SRM Institute of Science & Technology. Her areas of interest include Cognitive radio and Machine Learning. She has published several journal articles, conference papers and book chapters. She joined Rajagiri School of Engineering & Technology as an Assistant professor in the Department of Computer Science and Engineering on 1st August, 2018. Before joining Rajagiri, she was working as a Software Engineer at Infosys Technologies Ltd. From 2005 to 2009 and as a Technology Analyst at HP Globalsoft from 2009 to 2011.
RSET Unique Id: | 31869 | |
Area of Interest: | Data Analytics, Cloud Computing, Cognitive Radio | |
Memberships(If Any) | IEEE Computer Society | |
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0000-0001-7404-1671 | |
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https://scholar.google.com/citations?user=2ydehBEAAAAJ&hl=en |
Sl No | Year | Stream | Sem | Branch | Subject |
---|---|---|---|---|---|
1 | 2025 | B.Tech. | S8 | CS-B | PROJECT PHASE II |
2 | 2025 | B.Tech. | S6 | CS-C | COMPILER DESIGN |
3 | 2025 | M.Tech. | M2 | CSIS | BIGDATA ANALYTICS |
4 | 2025 | M.Tech. | M2 | CSIS | BIGDATA ANALYTICS LAB |
5 | 2025 | M.Tech. | M2 | CSE | BIGDATA ANALYTICS |
6 | 2024 | B.Tech. | S7 | CS-B | COMPILER LAB |
7 | 2024 | B.Tech. | S5 | CS-B | COMPUTER NETWORKS |
8 | 2024 | B.Tech. | S2 | EC-C | BASICS OF C PROGRAMMING |
9 | 2024 | M.Tech. | M2 | CSIS | BIGDATA ANALYTICS |
10 | 2024 | M.Tech. | M2 | CSIS | BIGDATA ANALYTICS LAB |
11 | 2024 | M.Tech. | M1 | CSIS | COMPUTATIONAL ESSENTIALS FOR DATA SCIENCE |
12 | 2023 | B.Tech. | S8 | CS-C | DATA MINING |
13 | 2023 | B.Tech. | S8 | CS-B | DATA MINING |
14 | 2023 | B.Tech. | S8 | CS-A | DATA MINING |
15 | 2023 | B.Tech. | S5 | CS-C | SYSTEM SOFTWARE AND MICROPROCESSORS LAB |
16 | 2023 | B.Tech. | S5 | CS-B | MICROPROCESSORS AND MICROCONTROLLERS |
17 | 2023 | B.Tech. | S5 | CS-B | SYSTEM SOFTWARE AND MICROPROCESSORS LAB |
18 | 2023 | B.Tech. | S4 | CS-A | OPERATING SYSTEMS |
19 | 2023 | B.Tech. | S2 | AEI | PROGRAMMING IN C |
20 | 2023 | M.Tech. | M1 | CSIS | COMPUTATIONAL ESSENTIALS FOR DATA SCIENCE |
21 | 2022 | B.Tech. | S7 | CS-B | CLOUD COMPUTING |
22 | 2022 | B.Tech. | S7 | CS-A | CLOUD COMPUTING |
23 | 2022 | B.Tech. | S5 | CS-C | MICROPROCESSORS AND MICROCONTROLLERS |
24 | 2022 | B.Tech. | S5 | CS-C | SYSTEM SOFTWARE AND MICROCONTROLLERS LAB |
25 | 2022 | B.Tech. | S5 | CS-B | SYSTEM SOFTWARE AND MICROCONTROLLERS LAB |
26 | 2022 | B.Tech. | S5 | CS-A | SYSTEM SOFTWARE AND MICROCONTROLLERS LAB |
27 | 2022 | B.Tech. | S4 | CS-B | OPERATING SYSTEMS LAB |
28 | 2022 | B.Tech. | S2 | EC-C | PROGRAMMING IN C |
29 | 2022 | B.Tech. | S2 | EC-B | PROGRAMMING IN C |
30 | 2022 | B.Tech. | S2 | EC-A | PROGRAMMING IN C |
31 | 2021 | B.Tech. | S8 | IT | CLOUD COMPUTING |
32 | 2021 | B.Tech. | S7 | CS-C | MACHINE LEARNING (ELECTIVE) |
33 | 2021 | B.Tech. | S7 | CS-B | COMPILER DESIGN LAB |
34 | 2021 | B.Tech. | S7 | CS-B | SEMINAR AND PROJECT PRELIMINARY |
35 | 2021 | B.Tech. | S7 | CS-B | MACHINE LEARNING (ELECTIVE) |
36 | 2021 | B.Tech. | S7 | CS-A | COMPILER DESIGN LAB |
37 | 2021 | B.Tech. | S7 | CS-A | MACHINE LEARNING (ELECTIVE) |
38 | 2021 | B.Tech. | S6 | CS-B | COMPILER DESIGN |
39 | 2021 | B.Tech. | S6 | CS-B | MICROPROCESSOR LAB |
40 | 2021 | M.Tech. | M1 | CSIS | DATA MINING CONCEPTS |
Year | Title of the Paper-Conference/Journal Details |
2024 | Fuzzy Logic Based Adaptive Clustering For Cognitive Wireless Sensor Networks 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) |
2023 | Memory Lane: Enhanced Learning Using AI-Driven Storytelling 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT) |
2023 | Applications of Clustering in Cognitive Radio Networks International Conference on Recent Trends in Communication Engineering and Network Technologies (CENT 2023) |
2021 | Data Visualization and Predictive Analysis for Smart Healthcare: Tool for a Hospital 2021 IEEE Region 10 Symposium (TENSYMP) |
2020 | Reinforcement Learning based Clustering Algorithm
for Cognitive Wireless Sensor Networks International Conference on Communication and Intelligent Systems - ICCIS 2020 |
2020 | Cognitive Radio Networks: Recent Advances in Spectrum Sensing Techniques and Security International conference on Smart Electronics and Communication 2020: (ICOSEC 2020) |
2019 | A methodology for Short-term Electric Power Load Forecasting International Conference on Advances in Computing and Communications 2019 (ICACC-2019) |
2017 | Automated Surveillance System for Infection Control International Journal of Pure and Applied Mathematics |