Swati Swayamsiddha
Swati Swayamsiddha
Assistant Professor
Swati Swayamsiddha has been working in the School of Electronics Engineering at KIIT Deemed to be University, Bhubaneswar, Odisha, India since 2009. Her areas of interest includes mobile communications, adaptive signal processing, cognitive radio networks, bio-inspired optimization, soft and evolutionary computing, Cognitive IoT and Next Generation Wireless Communication.
Profile Links
Email :
[email protected]
Google Scholar :
https://scholar.google.com/citations?hl=en&user=AEZHIvcAAAAJ
Social Links
Educational Qualification
Ph.D
Research Interests
Cognitive IoT, Cognitive Radio and Dynamic Spectrum Access,Mobility Management, Soft and Evolutionary Computing,Computational Intelligence and Machine
Memberships
IET, IEEE, ISC
Ph.D
Research Interests
Cognitive IoT, Cognitive Radio and Dynamic Spectrum Access,Mobility Management, Soft and Evolutionary Computing,Computational Intelligence and Machine
Memberships
IET, IEEE, ISC
Journals/Conferences :
Reporting cell planning-based cellular mobility management using a Binary Artificial Bat algorithm by Swayamsiddha S., Prateek, Singh S. S., Parija S., Pratihar D.K. Heliyon, Elsevier 5 (3), 1-18 e01276.doi: 10.1016/j.heliyon.2019.e01276 (2019). (Scopus, WoS, ESCI indexed)
Profile based location update for cellular network using mobile phone data by Parija S., Swayamsiddha S., Sahu P. K., Singh S.S. Microsystem Technologies, Springer, https://doi.org/10.1007/s00542-019-04367-6 (2019). ( SCI and Scopus indexed)
Performance Comparison of Adaptive Channel Equalizers using Different Variants of Differential Evolution by Swayamsiddha S., Thethi H. Journal of Engineering Science and Technology, School of Engineering, Taylor's University 13(8), 2271-2286 (2018). (Scopus, ESCI, WoS)
Impact of Dwell Time Distribution on Location Management in Cellular Networks by Prateek, Swayamsiddha S., Parija S., Sahu P.K., Singh S. S. Journal of Engineering Science and Technology, School of Engineering, Taylor's University 13(5), 1330-1344 (2018). (Scopus, ESCI, WoS)
Location Management Cost Optimization using Normalized Percentile Dwell Time by Swayamsiddha S., Prateek, Singh S. S. Journal of Engineering Science and Technology Review 10(5), 104-107 (2017). (Scopus indexed)
Optimal Reporting Cell Planning with Binary Differential Evolution Algorithm for Location Management Problem by Swayamsiddha S., Parija S., Sahu P.K., Singh S. S. International Journal of Intelligent Systems and Applications 9(4), 23-31 (2017). (Scopus indexed)
Performance Analysis of Adaptive Channel Equalizer using Population based Update Algorithms by Thethi H., Swayamsiddha S. International Journal of Computer Applications 74(12) 41-46 (2013).
Conferences
Performance Comparison of Variants of Hybrid FLANN-DE for Intelligent Nonlinear Dynamic System Identification by Swayamsiddha S. Int. Conf. on Advanced Computing and Intelligent Engineering, Springer -in press (2019).
Differential Evolution based Location Management in Mobile Networks by Swayamsiddha S., Singh V., Singh S., Singh S. S. Int. Conf. on MEMs based Sensors and Smart Nanostructured Devices, IEEE -in press (2019).
Noise Reduction from Electrocardiogram Signal using Adaptive Filter by Sahu A.,Swayamsiddha S., Parida P.K. Proc. Int. Conf. on Recent Trends on Electronics, Information & Communication Technology, IEEE-in press (2019).
RCP Prediction in Cellular Networks using Normalized Percentile Dwell Time by Prateek, Swayamsiddha S., Singh S. S. Proc. Int. Conf. on Recent Innovations in Electrical, Electronics & Communication Engineering, IEEE - in press (2018).
Bio-Inspired Algorithms for Mobile Location Management- A New Paradigm by Swayamsiddha S., Parija S., Sahu P. K., Singh S.S. Proc. Int. Conf. on Frontiers in Intelligent Computing and Applications (FICTA), Advances in Intelligent Systems and Computing, Springer 35-44 (2017).
Profile Based Location Update for Mobile Location Management by Parija S., Swayamsiddha S., Sahu P.K., Singh S.S. Proc. Int. Conf. on Computing, Communication and Sensor Network, IEEE 32-36 (2016).
Blind Identification of Nonlinear MIMO System Using Differential Evolution Techniques and Performance Analysis of its Variants by Swayamsiddha S., Behera S.,Thethi H. Proc. Int. Conf. on Computational Intelligence and Networks, IEEE 63-67 (2015).
An Approach to Identify Parameters of Nonlinear MIMO Plant Using Differential Evolution Techniques and to Analyze the Performance of its Variants by Swayamsiddha S., Behera S.,Thethi H. IEEE Conference on Electrical & Electronics Engg. (2014).
Identification of Nonlinear Dynamic Systems using Differential Evolution Based Update Algorithms and Chebyshev Functional Link Artificial Neural Network by Swayamsiddha S., Mondal S., Thethi H. IET Proc. Int. Conf. on Computational Intelligence and Information Technology 508-513 (2013).
Nonlinear System Identification Using Evolutionary Computing Based Training Schemes by Swayamsiddha S., Thethi H. International Journal of Computer Applications Proc. Int. Conf. on Communication, Circuits and Systems 2012 iC3S(6)12-16 (2013).
Performance Analyis of GA based Adaptive Techniques for Nonlinear System Identification by Swayamsiddha S., Nanda S. Proc. Int. Conf. on Artificial Intelligence and Soft Computing 26-32 (2011).
Books :
Bio-inspired Algorithms: Principles, Implementation and Applications to Wireless Communication by Swayamsiddha S. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications, Elsevier- in press (2019).
Power Efficiency Analysis of Low Power Circuit Design Techniques in 90nm CMOS Technology by Kumar Y. S., Samant T., Swayamsiddha S. VLSI Design and Testability Issues , CRC Press Taylor & Francis-in press (2019).
Nature-Inspired Algorithms based Cellular Location Management-Scope and Applications by Swayamsiddha S., Singhal C., Roy R. Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, IGI Global 346-362 (2018).
Particle Swarm Optimization for Cost Reduction in Location Management using Reporting Cell Planning Approach by Parija S., Sahu P. K., Singh S.S., Swayamsiddha S. Research on Intelligent Nature-Inspired Computing, IGI Global 178-189 (2017).
Reporting cell planning-based cellular mobility management using a Binary Artificial Bat algorithm by Swayamsiddha S., Prateek, Singh S. S., Parija S., Pratihar D.K. Heliyon, Elsevier 5 (3), 1-18 e01276.doi: 10.1016/j.heliyon.2019.e01276 (2019). (Scopus, WoS, ESCI indexed)
Profile based location update for cellular network using mobile phone data by Parija S., Swayamsiddha S., Sahu P. K., Singh S.S. Microsystem Technologies, Springer, https://doi.org/10.1007/s00542-019-04367-6 (2019). ( SCI and Scopus indexed)
Performance Comparison of Adaptive Channel Equalizers using Different Variants of Differential Evolution by Swayamsiddha S., Thethi H. Journal of Engineering Science and Technology, School of Engineering, Taylor's University 13(8), 2271-2286 (2018). (Scopus, ESCI, WoS)
Impact of Dwell Time Distribution on Location Management in Cellular Networks by Prateek, Swayamsiddha S., Parija S., Sahu P.K., Singh S. S. Journal of Engineering Science and Technology, School of Engineering, Taylor's University 13(5), 1330-1344 (2018). (Scopus, ESCI, WoS)
Location Management Cost Optimization using Normalized Percentile Dwell Time by Swayamsiddha S., Prateek, Singh S. S. Journal of Engineering Science and Technology Review 10(5), 104-107 (2017). (Scopus indexed)
Optimal Reporting Cell Planning with Binary Differential Evolution Algorithm for Location Management Problem by Swayamsiddha S., Parija S., Sahu P.K., Singh S. S. International Journal of Intelligent Systems and Applications 9(4), 23-31 (2017). (Scopus indexed)
Performance Analysis of Adaptive Channel Equalizer using Population based Update Algorithms by Thethi H., Swayamsiddha S. International Journal of Computer Applications 74(12) 41-46 (2013).
Conferences
Performance Comparison of Variants of Hybrid FLANN-DE for Intelligent Nonlinear Dynamic System Identification by Swayamsiddha S. Int. Conf. on Advanced Computing and Intelligent Engineering, Springer -in press (2019).
Differential Evolution based Location Management in Mobile Networks by Swayamsiddha S., Singh V., Singh S., Singh S. S. Int. Conf. on MEMs based Sensors and Smart Nanostructured Devices, IEEE -in press (2019).
Noise Reduction from Electrocardiogram Signal using Adaptive Filter by Sahu A.,Swayamsiddha S., Parida P.K. Proc. Int. Conf. on Recent Trends on Electronics, Information & Communication Technology, IEEE-in press (2019).
RCP Prediction in Cellular Networks using Normalized Percentile Dwell Time by Prateek, Swayamsiddha S., Singh S. S. Proc. Int. Conf. on Recent Innovations in Electrical, Electronics & Communication Engineering, IEEE - in press (2018).
Bio-Inspired Algorithms for Mobile Location Management- A New Paradigm by Swayamsiddha S., Parija S., Sahu P. K., Singh S.S. Proc. Int. Conf. on Frontiers in Intelligent Computing and Applications (FICTA), Advances in Intelligent Systems and Computing, Springer 35-44 (2017).
Profile Based Location Update for Mobile Location Management by Parija S., Swayamsiddha S., Sahu P.K., Singh S.S. Proc. Int. Conf. on Computing, Communication and Sensor Network, IEEE 32-36 (2016).
Blind Identification of Nonlinear MIMO System Using Differential Evolution Techniques and Performance Analysis of its Variants by Swayamsiddha S., Behera S.,Thethi H. Proc. Int. Conf. on Computational Intelligence and Networks, IEEE 63-67 (2015).
An Approach to Identify Parameters of Nonlinear MIMO Plant Using Differential Evolution Techniques and to Analyze the Performance of its Variants by Swayamsiddha S., Behera S.,Thethi H. IEEE Conference on Electrical & Electronics Engg. (2014).
Identification of Nonlinear Dynamic Systems using Differential Evolution Based Update Algorithms and Chebyshev Functional Link Artificial Neural Network by Swayamsiddha S., Mondal S., Thethi H. IET Proc. Int. Conf. on Computational Intelligence and Information Technology 508-513 (2013).
Nonlinear System Identification Using Evolutionary Computing Based Training Schemes by Swayamsiddha S., Thethi H. International Journal of Computer Applications Proc. Int. Conf. on Communication, Circuits and Systems 2012 iC3S(6)12-16 (2013).
Performance Analyis of GA based Adaptive Techniques for Nonlinear System Identification by Swayamsiddha S., Nanda S. Proc. Int. Conf. on Artificial Intelligence and Soft Computing 26-32 (2011).
Books :
Bio-inspired Algorithms: Principles, Implementation and Applications to Wireless Communication by Swayamsiddha S. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications, Elsevier- in press (2019).
Power Efficiency Analysis of Low Power Circuit Design Techniques in 90nm CMOS Technology by Kumar Y. S., Samant T., Swayamsiddha S. VLSI Design and Testability Issues , CRC Press Taylor & Francis-in press (2019).
Nature-Inspired Algorithms based Cellular Location Management-Scope and Applications by Swayamsiddha S., Singhal C., Roy R. Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, IGI Global 346-362 (2018).
Particle Swarm Optimization for Cost Reduction in Location Management using Reporting Cell Planning Approach by Parija S., Sahu P. K., Singh S.S., Swayamsiddha S. Research on Intelligent Nature-Inspired Computing, IGI Global 178-189 (2017).