Aleena Swetapadma
Associate Professor
Aleena Swetapadma started her career as assistant professor in School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, India from 2016. She did her school education (6th to 12th) with scholarship from Govt. of India in JNV, Cuttack, India. She did her B. Tech from CET, Bhubaneswar, India and M. Tech in computer technology from NIT, Raipur, India. She obtained her Ph. D from NIT, Raipur, India in the area of application of artificial intelligence in power system protection. She has been awarded with POSOCO Power System Award for her work of M.Tech thesis by power grid of India (PGCIL) INDIA in partnership with FITT, IIT, Delhi 2nd rank in India, with Rs. 30,000/- and Citation in 2014. She did her Ph.D from NIT, Raipur (2013-2016). She has been awarded with POSOCO Power System Award for her work of Ph.D thesis by power grid of India (PGCIL) INDIA, 9th rank in India, with Rs. 60,000/- and Citation in 2017. She has completed one research project funded by science and engineering board (SERB), India of 16.5Lakhs entitled “Intelligent Fault Distance Estimation Scheme for High Voltage AC and High Voltage DC Transmission Lines: A Comparative Study of Various Artificial Intelligent Techniques to Explore a Suitable Scheme”. She has published 30 SCI indexed research papers under publishers like IEEE transactions, Elsevier, Springer, IET, Taylor and Francis etc. She has filed 3 patents of her work on transmission line fault location under IPR, India. She has also published 35 conference papers, 6 book chapters and one book. She is also serving as reviewer of various IEEE transactions, Elsevier, Springer, IET, Taylor and Francis journals. Her field of interest includes power system protection, HVDC, FACTS, biomedical signal and image processing, data mining and artificial intelligence application.
Profile Links
Email :
[email protected]
Scopus Id :
56083945400
Google Scholar :
https://scholar.google.co.in/citations?user=u0vcD2UAAAAJ&hl=en
Social Links
- AI and ML
- Power System Protection
- HVAC
- HVDC
- FACTS
- Artificial Intelligence
- Bio-Medical Signal and Image Processing
Administrative Responsibility
AI society co-ordinator
Awards & Honours
awarded with POSOCO Power System Award for her work of M.Tech thesis by power grid of India (PGCIL) INDIA in partnership with FITT, IIT, Delhi 2nd rank in India, with Rs. 30,000/- and Citation in 2014. She has been awarded with POSOCO Power System Award for her work of Ph.D thesis by power grid of India (PGCIL) INDIA, 9th rank in India, with Rs. 60,000/- and Citation in 2017. She has completed one research project funded by science and engineering board (SERB), India of 16.5Lakhs entitled “Intelligent Fault Distance Estimation Scheme for High Voltage AC and High Voltage DC Transmission Lines: A Comparative Study of Various Artificial Intelligent Techniques to Explore a Suitable Scheme”. She has published 34 SCI indexed research papers under publishers like IEEE transactions, Elsevier, Springer, IET, Taylor and Francis etc. She has filed 3 patents of her work on transmission line fault location under IPR, India. She has also published 35 conference papers, 6 book chapters and one book. She is also serving as reviewer of various IEEE transactions, Elsevier, Springer, IET, Taylor and Francis journals.
Memberships
IET, IEEE
1. Swetapadma, Aleena and Yadav, Anamika. “An Artificial Neural Network Based Solution to Locate the Multi-Location Faults in Double Circuit Series Capacitor Compensated Transmission Lines.” Wiley - International Transactions on Electrical Energy Systems, (2018).
2. Swetapadma, Aleena and Yadav, Anamika. “A Hybrid Method for Fault Location Estimation in a Fixed Series Compensated Lines.” Elsevier - Measurement, (2018).
3. Swetapadma, Aleena and Yadav, Anamika. “A Novel Decision Tree Regression Based Fault Distance Estimation Scheme for Transmission Lines.” IEEE Transactions on Power Delivery, 32 (2017): 234.
4. Swetapadma, Aleena and Yadav, Anamika. “An Innovative Finite State Automata Based Approach for Fault Direction Estimation in Transmission Lines.” Elsevier - Measurement, 99 (2017): 13.
5. Swetapadma, Aleena, Mishra, Praveen, Yadav, Anamika, and Abdelaziz, AY. “A Non-Unit Protection Scheme for Double Circuit Series Capacitor Compensated Transmission Lines.” Elsevier - Electric Power Systems Research, 148 (2017): 311.
6. Agarwal, Shobha, Swetapadma, Aleena, and Panigrahi, Chinmoy. “An Improved Method Using Artificial Neural Network for Fault Detection and Fault Pole Identification in Voltage Source Converter-Based High-Voltage Direct Current Transmission Lines.” Springer - Arab Journal Science Engineering, (2017).
7. Swetapadma, Aleena. “A Novel Approach for Sleep Disorder Monitoring Using Finite State Machine for Localities Lacking Specialist Physicians.” IET Science, Measurement & Technology, 11(2017): 1099.
8. Swetapadma, Aleena and Yadav, Anamika. “Data-Mining based Fault during Power Swing Identification in Power Transmission System.” IET- Science, Measurement & Technology, 10 (2016): 130.
9. Swetapadma, Aleena and Yadav, Anamika. “Directional Relaying Using Support Vector Machine for Double Circuit Transmission Lines Including Cross-country and Inter-circuit Faults.” Elsevier - International Journal of Electrical Power & Energy Systems, 81(2016): 254.
10. Swetapadma, Aleena and Yadav, Anamika. “A Finite State Machine Based Approach for Fault Detection and Classification in Transmission Lines”, Taylor and Francis - Electric Power Components and Systems, 44 (2016): 43.