Sustainable Development with AI/ML, Multiprocessor Scheduling, Signal Processing, Soft Computing

22 years completed

Post Graduate Level

:

Machine learning, Python, Soft Computing ,Data Structure, Database Engineering, Computer Networking ,C++

M. Tech. Candidates

:

04 (completed) M.C.A projects: 30 (completed)

International Publications

2024
1. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari. An enhanced meta-heuristic algorithm used for energy concious priority based task scheduling problems in heterogeneous multiprocessor systems, Sustainable Computing: Informatics and Systems, volume 43(2024)
2. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari. A hybrid optimization algorithm for energy- aware multi-objective task scheduling in heterogeneous multiprocessor systems, Evolutionary Intellegence, vol.17(2024), issue 5-6, pages 3441-3467
2022
3. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari. A novel algorithm for priority-based task scheduling on a multiprocessor heterogeneous system. Elsevier Microprocessors and Microsystems.vol.95( 2022)
2018
4. S.K. Nayak, C.S. Panda, S.K. Padhy, " Multiprocessor Scheduling using Krill Herd Algorithm (KHA)", International Journal of Computer Sciences and Engineering, Vol.-6, Issue-6, June 2018, pp 07-17, E- ISSN: 2347-2693
2015
5. Binodini Tripathy, Smita Dash, Sasmita Kumari Padhy, Multiprocessor scheduling and Neural Network Training methods using Shuffled-Frog-leaping algorithm, Elsevier Computers and Industrial Engineering. Computers & Industrial Engineering 80(2015) 154-158
6. Binodini Tripathy, Smita Dash, Sasmita Kumari Padhy, Dynamic Task Scheduling using a Directed Neural Network, J.Parallel Distrib Comput. Vol.75 (2015), pg-101-106.
2014
7. Gyanes Das,Prasant Kumar Patnaik, Sasmita Kumari Padhy, Artificial Neural Network trained by Particle Swarm Optimization for Non-linear Channel Equalization, Elsevier Expert Systems with Applications, Vol. 41, Issue 7, 2014, Pages 3491-3496.
8. Archana Sarangi, Shubhendu Kumar Sarangi, Sasmita Kumari Padhy, Siba Prasada Panigrahi, Bijay Ketan Panigrahi, Swarm intelligence based techniques for digital filter design, Applied Soft Computing, 2014
2013
9. Chandan Kumar samanta, Sasmita Kumari Padhy, Siba Prasada Panigrahi & Bijay ketan Panigrahi,Hybrid Swarm Intelligence Methods for Energy Management in Hybrid Electric Vehicles, IET Electrical Systems in Transportation, Volume 3, issue 1, 2013, p. 22 – 29 2012
2012
10. Rabi Narayan Panda, Sasmita Kumari Padhy, Srinivas Prasad and Siba Prasada Panigrahi , Reduced Complexity Dynamic Systems Using Approximate Control Moments, Springer Circuits, Systems, and Signal Processing, Volume 31, Issue 5 (2012), Page 1731-1744. 2011
11. Sasmita Kumari Nayak, Sasmita Kumari Padhy and Siba Prasada Panigrahi, A novel algorithm for dynamic task scheduling, Elsevier Future Generation Computer Systems, Volume 28, 2012, pages 709–717.
2011
12. Sunita Panda, Sasmita Kumari Padhy, Siba Prasada Panigrahi,A Novel Approach to Blind I444/QMismatch & Carrier 444ffset Compensation, Journal of Information and Signal Processing, volume 2(2011), pages 18-25
13. Archana Sarangi, Sasmita Kumari Padhy, Siba Prasada Panigrahi, “GBF Trained Neuro-Fuzzy Equalizer for Time Varying Channels” ,International Journal of Applied Evolutionary Computation, Volume 2(3), July 2011, Pages 27-38.
2010
14. Siba Prasada Panigrahi, Sasmita Kumari Padhy & Santanu Kumar Nayak, “An improved decision feedback equalization using a priori information” Wiley Inter Science International Journal ofAdaptive Control and Signal Processing, 2010, Volume 24, Pages 41-50.
15. Prity RanjanHathy, Sasmita Kumari Padhy, Siba Prasada Panigrahi, Prasanta Kumar Patra, A novel channel equalizer using large margin algebraic perceptron network, Academy Publisher Journal of Communications,Volume 5, issue 8, August 2010, pages 637-645
2009
16. Sasmita Kumari Padhy, Siba Prasada Panigrahi, Prasanta Kumar Patra & Santanu Kumar Nayak, Non-linear channel equalization using adaptive MPNN” Elsevier Applied Soft Computing Volume . 9, Issue 3, June 2009, Pages 1016-1022
2008
17. Siba Prasada Panigrahi, Santanu Kumar Nayak & Sasmita Kumari Padhy, “Hybrid ANN reducing training time requirements and decision delay for equalization in presence of co-channel interference” Elsevier Applied Soft Computing Volume 8, Issue 4, September 2008, Pages 1536-1538.
18. Siba Prasada Panigrahi, Santanu Kumar Nayak & Sasmita Kumari Padhy, “An efficient hybrid estimator for nonlinear channels in state space” Elsevier Signal Processing Volume 88, Issue 4, April2008, Pages 769-775 .
19. Siba Prasada Panigrahi, Santanu Kumar Nayak & Sasmita Kumari Padhy, “A genetic-based neuro-fuzzy controller for blind equalization of time-varying channels” Wiley Inter Science International. Journal of Adaptive Control and Signal Processing, 2008, Volume 22, Pag
20. Sasmita Kumari Padhy,R.N. Panda, S.P. Panigrahi,A Reduced Complexity Quasi-1D Viterbi Detector J.of Signal and Information Processing,Vol. 2, 2011,pg 26-32
21. Sasmita Kumari Padhy,S. Panda S.P. Panigrahi,A Novel Approach to Blind I/Q Mismatch & Carrier Offset Compensation,Vol. 2 ,2011,pg 17-25
22. Sasmita Kumari Padhy,N. Panda, An Efficient Noise Generator for Validation of Channels Equalizers,J.of Signal and Information Processing,Vol. 2, 2011,pg 1-10

International Conferences

1. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari,Debasis kumar, A New Dynamic method of Multiprocessor Scheduling using Modified Crow Search Optimization. 2nd International Conference on Artificial Intelligence and Signal Processing(AISP)(2022),Vijayawada,India
2. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari,Improved Crow Search Optimization for Multiprocessor Task Scheduling: A Novel Approach,ARIAM 2019, Springer Nature, pp.1-13.2020
3. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari, Elephant Herding Optimization for Multiprocessor Task Scheduling in Heterogeneous Environment,Springer Nature,ComputationalIntelligence in Pattern Recognition,Advances in Intelligent Systems and Computing,1120, 2020
4. S.K Nayak,S.K Padhy, C.S Panda, Efficient Multiprocessor Scheduling Using Water Cycle Algorithm,Springer Nature, Soft Computing Theories and Applications, Advances in Intelligent Systems and Computing 583,2018
5. Gyanesh Das, Sunita Panda, S.K Padhy, Quantum Particle Swarm Optimization Tuned Artificial Neural Network Equalizer, Springer Nature, Soft Computing Theories And Applications,Advances in Intelligent Systems and Computing ,583, 2018
6. International Conference on Recent Trends in Engineering and Material Sciences(ICEMS), Jaipur National University, March 17-19,2016, Jaipur
7. Sasmita Kumari Padhy,Control Signal from EOG Analysis and its Applications, National Seminar on Recent Trends in Signal Processing and Communication, 1-2.03.2014
8. Sasmita Kumari Padhy,Neural Network Monitoring Strategy of Cutting tool wear of Horizontal High Speed Milling,National Seminar on Recent Trends in Signal Processing and Communication,1-2.03.2014
9. Sasmita Kumari Padhy,Energy Management in Hybrid Electric Vehicles,Workshop on Technical Terminology in the non-conventional Energy Management,17-18.02.14
10. Sasmita Kumari Padhy, A Resistorless High input impedance all pass filter,National Seminar on Technical Evaluation: Current Status and Future Prospects,15.01.2011
11. Sasmita Kumari Padhy,S.P. Panigrahi,Design of an Efficient Compensation Filter, National Conference on Trends & Future Evaluation in Electrical Engineering, 5-6.02.2011
12. Sasmita Kumari Padhy,Analysis of EEG Signals using Wavelet Entropy,National Conference on Trends & Future Evaluation in Electrical Engineering,5-6.02.2011
13. Sasmita Kumari Padhy,Efficient Energy Scheduling through Genetic Algorithms, National Seminar on National Power Scenario-Present & Future,21-22.11.09

Workshops

1. Name of the Course	Duration	Sponsored by	Role and Venue
   Faculty Development Program (FDP) on Artificial Intelligence and Machine Learning(AI- ML)	29th October to 6th November 2022		Participated. VSSUT, Burla
   One Week Short Term Course on Soft Computing Techniques for Engineering Problems	3rd to 8th January 2018	TEQIP	Participated. VSSUT, Burla
   Workshop on Quality of Higher and Technical Education In India-Role Of Universities	20 February 2017	TEQIP	Participated. VSSUT, Burla
   Workshop on Ubiquitous Computing	31st January, 2016		Member of Management committee VSSUT, Burla
   Short term course under QIP on Application of AI Techniques to Power System Operation and Control(AAITPSOC)	02-07 MAY 2016	AICTE	Participated. VSSUT, Burla
   Short term course under QIP on Application of AI Techniques to Power System Operation and Control(AAITPSOC)	02-07 MAY ,2016	AICTE	Participated.
   National Workshop on Computational Intelligence: Theories, Applications and Future Directions, IEEE Computational Intelligence society	15.01.2011 to 15.01.2011	IEEE	Participated in the One Day Workshop, CVRCE,BBSR
   National Workshop on Green Energy, ,CVRCE, BBSR	10.05.2013 to 10.05.2013		Participated
   National Seminar on National Power Scenario-Present & Future, GIET, Gunupur, GIET	21.11.09 to 22.11.09		Participated
   Workshop on Technical Terminology in the non-conventional Energy Management, MHRD, RVSCET, Jamshedpur	17.02.14 to 18.02.14	MHRD	Participated. RVSCET,Jamshedpur
   National Workshop on Computational Intelligence: Theories, Applications and Future Directions,ISTE, NMIET, BBSR	15.01.2011 to 15.01.2011		Participated. NMIET, BBSR
   Winter School on Advances in Computational Intelligence: Algorithms and Applications, IEEE, SOAU, ITER, SOA Univ	26.12.2011 to 27.12.2011	IEEE	Participated. ITER, SOA Univ
   Int. Symp. on Biologically Inspired Computing & Applications, IEEE, SOAU, ITER, SOA Univ.	09.12.2009 to 12.12.2009	IEEE	Participated. ITER, SOA Univ.
   Workshop on Internet Of Things devices and Sensor Networks, VSSUT, BURLA, ODISHA,	22nd to 23rd October 2016	TEQIP_II	Member of Finance Committee
   sponsored Workshop on Internet Of Things devices and Sensor Networks, VSSUT, BURLA, ODISHA,	22nd to 23rd October 2016	TEQIP-||	Member of Management Committee
   Member of STC Management Committee , TEQIP-|| Sponsored One Week Short Term Course on LATEX	28 August to 1st September, 2017, VSSUT, BURLA	TEQIP-||	Member of STC Management Committee

1. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari, Elephant Herding Optimization for Multiprocessor Task Scheduling in Heretogeneous Environment, Computational Intelligence in Pattern Recognition, Springer Singapore(2020)
2. Sahoo Ronali Madhusmita,Padhy Sasmita Kumari,Improved Crow Search Optimization for Multiprocessor Task Scheduling. A Novel Approach, In Applications of Robotics in Industry Using Advanced Mechanisms, Springer International Publishing(2020)
3. Nayak S.K., Panda C.S., Padhy S.K., "Efficient Multiprocessor Scheduling Using Water Cycle Algorithm", Soft Computing Applications. Studies in Computational Intelligence, Vol 761. 2018, Springer, Singapore Print ISBN978-981-10-8048-7
4. Archana Sarangi, Siba prasada Panigrahi, Sasmita kumari Padhy, Shubhendu Kumar Sarangi, GBF Trained Neuro Fuzzy Equalizer for Time Varying Channels,Modeling Applications and Theoeitical Innovations in Interdisciplinary Evolutionary Computation,2013,volume 2, Information Science Reference,IGI Global,Print ISBN 978-1- 666-3628-6

1. Member of STC Management Committee , TEQIP-II Sponsored One Week Short Term Course on LATEX, 28 August to 1st September, 2017, VSSUT, BURLA
2. Member of Management Committee, Workshop on Ubiquitous Computing(WUC) held at VSSUT, BURLA,ODISHA on 31st January 2016
3. Member of Management Committee, TEQIP-II sponsored Workshop on Internet Of Things devices and Sensor Networks, VSSUT, BURLA, ODISHA, 22nd to 23rd October 2016
4. Member of Finance Committee, TEQIP-II sponsored Workshop on Internet Of Things devices and Sensor Networks, VSSUT, BURLA, ODISHA, 22nd to 23rd October 2016 [5]Organizing Chair of ICCIDM ,4th International Conference on Computational Intelligence in Data Mining, 111th-12th November, 2017
5. Technical Session Chairing, th International Conference on Computational Intelligence in Data Mining, 111th-12th November, 2017

1. HOD, Department of CA ( 3 years )
2. Warden of Hall of Residence ( 1 year )
3. Chairman, Board of Studies/ DAC/ DSC (3 years )
4. Member Academic Council ( 3 years)
5. Member of Selection Committee, Guest Faculty Interview
6. Member of Selection Committee, Ph.D. Interview

Present Address :  F-3R/22, Professor Colony-1, Veer Surendra Sai University of Technology (Formerly UCE Burla) Burla- 768 018, Sambalpur, Odisha, India

Permanent Address :