Soft Computing, Multiprocessor Scheduling

1. VSSUT BURLA , Associate Prof., 25.05.2015 to till date
2. NIT PATNA , Asst.Prof, 25.08.14 to 19.05.15.
3. ITER BBSR, Asst.Prof, 8.8.09 to 23.8.14
4. MITS, Rayagada, Asst.Prof, 15.7.03 to 30.6.09

Soft Computing, Multiprocessor Scheduling.

1. Received the Best Researcher award for the contribution and honourable achievement in Innovative Research (NESIN 2020 Awards) by Scifax Company, ScienceFather on 27th November 2020

1. H.O.D, Computer Application Department
2. Warden, Anuradha Hall of Residence
3. Convenor DAC, DPC, BOS, Conducting board
4. Application Department
5. Member, Industry Co-ordination committee

1. Seed Grant Project of Rs. 75,000 for the project titled “A Fuzzy Knowledge based Data Aggregation scheme for Design of Fault-Tolerant Wireless Sensor Networks” by TEQIP, VSSUT, Burla for a period of 1 year

International Publications

1. Binodini Tripathy, Smita Dash, Sasmita Kumari Padhy, Multiprocessor scheduling and neural network training methods using shuffled frog-leaping algorithm, Elsevier Computers & Industrial Engineering, Vol. 80, 2015, pp. 154-158.
2. Binodini Tripathy, Smita Dash, Sasmita Kumari Padhy, Dynamic Task Scheduling using Directed Neural Network, Elsevier Journal of Parallel and Distributed Computing, vol. 75, 2015, pp. 101-106.
3. 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, Vol 25, pp. 530-534.
4. Gyanes Das and Sasmita Kumari Padhy, Prasant Kumar Patnaik, Artificial Neural Network trained by Particle Swarm Optimization for Non-linear Channel Equalization, Elsevier Expert Systems with Applications, Vol. 41, Issue 7, 2014, pp. 3491-3496.
5. 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.
6. 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.
7. 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.
8. 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.
9. Siba Prasada Panigrahi, Sasmita Kumari Padhy & Santanu Kumar Nayak, An improved decision feedback equalization using a priori information Wiley Inter Science International Journal of Adaptive Control and Signal Processing, Volume 24, 2010, pp. 41-50.
10. Prity Ranjan Hathy, Sasmita Kumari Padhy, Siba Prasada Panigrahi & Prasanta Kuamr 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.
11. 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.
12. 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.
13. 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, April 2008, Pages 769-775.
14. 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, Volume 22, 2008, Pages 705-716.

1. S. Acharya and C.R. Tripathy, “A Fuzzy Knowledge Based Fault Tolerance Mechanism for Wireless Sensor Networks”, Sensor Technology: Concepts, Methodologies, Tools, and Applications, pp. 679-697, 2020.
2. N. Acharya, S. Acharya, S. Panda and P. Nanda, “An Artificial Neural Network Model for a Diesel Engine fuelled with Mahua Biodiesel”, Advances in Intelligent Systems and Computing, Volume 556, Springer International Publishing Switzerland, pp. 193-201, 2017.
3. S. Acharya and C.R. Tripathy, “A Fuzzy Knowledge Based Mechanism for Secure Data Aggregation in Wireless Sensor Networks”, Advances in Intelligent Systems and Computing, Volume 556, Springer International Publishing Switzerland, pp. 77-88, 2017.
4. S. Acharya and C.R. Tripathy, “A Fuzzy Knowledge Based Sensor Node Appraisal Technique for Fault Tolerant Data Aggregation in Wireless Sensor Networks”, Advances in Intelligent Systems and Computing, Volume 411, Springer International Publishing Switzerland, pp. 59-69, 2016.
5. S. Acharya and C.R. Tripathy, “An ANN approach for fault-tolerant wireless sensor networks”, Volume 2, Advances in Intelligent Systems and Computing, Volume 338, Springer International Publishing Switzerland, pp. 475-483, 2015.
6. S. Acharya and C.R. Tripathy, “Inter-actor Connectivity Restoration in Wireless Sensor Actor Networks: An Overview”, Volume I, Advances in Intelligent Systems and Computing Volume 248, , Springer International Publishing Switzerland, pp. 351-360, 2014.

1. Visited as External Examiner to many reputed Institutes.
2. Reviewer of many reputed international journals.