Evolutionary Computing (Presently: PhD scholar at Universitat Politècnica de Catalunya (UPC) Spain)
Arijit Nandi
PG
Evolutionary Computing (Presently: PhD scholar at Universitat Politècnica de Catalunya (UPC) Spain)
Lakshmi Mandal
PG
Molecular Drug Design (Presently PhD Scholar at IISC Bangalore)
Lakshmi Mandal
PG
Molecular Drug Design (Presently PhD Scholar at IISC Bangalore)
Md. Tousin Akhter
PG
Speech Synthesis (Presently: PhD scholar at IIT Bombay)
Md. Tousin Akhter
PG
Speech Synthesis (Presently: PhD scholar at IIT Bombay)
Arnab Chatterjee
PG
Software EngNatWest Group
EEG Signal Processing (Presently: Software Engineer at NatWest Group)
Arnab Chatterjee
PG
EEG Signal Processing (Presently: Software Engineer at NatWest Group)
Software EngNatWest Group
Sweta Rawat
PG
Surrogate Model (Presently: Senior Software EngineerSenior Software Engineer Huawei Technologies India )
Sweta Rawat
PG
Surrogate Model (Presently: Senior Software EngineerSenior Software Engineer Huawei Technologies India )
Doctoral Students
Sandipan Dhar
PhD (Thesis Submitted)
Voice Conversion, Speaker Identification, Speech Command Recognition, Medical Image Classification, Text to Speech Synthesis
Thesis Title: Speech Synthesis Using Deep Generative Models: Some Advanced Approaches
Sandipan Dhar
PhD (Thesis Submitted)
Voice Conversion, Speaker Identification, Speech Command Recognition, Medical Image Classification, Text to Speech Synthesis
Thesis Title: Speech Synthesis Using Deep Generative Models: Some Advanced Approaches
Subhayu Ghosh
PhD [ongoing]
Audio and Speech Processing, Biomedical Image Processing, Multimodal AI, Generative AI, Explainable AI, Machine Learning and Deep Learning
Thesis Title: Generative Artificial Intelligence Based Audio-Visual Speech Synthesis: Some Advanced Approaches
Subhayu Ghosh
PhD [ongoing]
Audio and Speech Processing, Biomedical Image Processing, Multimodal AI, Generative AI, Explainable AI, Machine Learning and Deep Learning
Thesis Title: Generative Artificial Intelligence Based Audio-Visual Speech Synthesis: Some Advanced Approaches
Rabel Guharoy
PhD [ongoing]
Brain-computer interfaces, Machine Learning, Big Data Optimization
Thesis Title: Studies on Feature Analysis and Classification Algorithms for EEG-based Brain Computer Interface
Rabel Guharoy
PhD [ongoing]
Brain-computer interfaces, Machine Learning, Big Data Optimization
Thesis Title: Studies on Feature Analysis and Classification Algorithms for EEG-based Brain Computer Interface
Brahmanand Dubey
PhD [ongoing]
Multimodal Machine Learning, Image processing
Brahmanand Dubey
PhD [ongoing]
Multimodal Machine Learning, Image processing
Arjun Ghosh
PhD (Degree Awarded on 06-09-2024)
Deep Learning, Optimization Techniques, Evolutionary Computing, Image Processing
Thesis Title: Studies on Evolutionary Deep Neural Architecture Search for Image Analysis
Arjun Ghosh
PhD (Degree Awarded on 06-09-2024)
Deep Learning, Optimization Techniques, Evolutionary Computing, Image Processing
Thesis Title: Studies on Evolutionary Deep Neural Architecture Search for Image Analysis
Silvia Basak
PhD [ongoing]
Silvia Basak
PhD [ongoing]
Suparna Karmakar
PhD [ongoing]
Suparna Karmakar
PhD [ongoing]
Projects
Sl.No.
Title
Name of the PI
Name of the CoPIs
Funding Agency
Amount (Rs.)
Project Type
Project Status
Date of Initiation
Date of Completion
1
AI Based Voice to Voice Synthesis: A Potential Solution to Contemporary Dubbing Challenges
Dr. Nanda Dulal Jana
NA
Stone Media
885,000
Consultancy
Ongoing
2024-03-01
2024-08-31
2
Development of Surrogate-assisted Computing Algorithms for Protein Structure Prediction
Dr. Nanda Dulal Jana
NA
RIG
500,000
Sponsored
Completed
Projects
Sl.No.
Title
Name of the PI
Name of the CoPIs
Funding Agency
Amount (Rs.)
Project Type
Project Status
Date of Initiation
Date of Completion
1
Development of Surrogate-assisted Computing Algorithms for Protein Structure Prediction
Dr. Nanda Dulal Jana
NA
RIG
500,000
Sponsored
Completed
Projects
Sl.No.
Title
Name of the PI
Name of the CoPIs
Funding Agency
Amount (Rs.)
Project Type
Project Status
Date of Initiation
Date of Completion
1
AI Based Voice to Voice Synthesis: A Potential Solution to Contemporary Dubbing Challenges
1. Active Learning with Particle Swarm Optimization for Enhanced Skin Cancer Classification Utilizing Deep CNN Models Sayantani Mandal, Subhayu Ghosh, Nanda Dulal Jana, Somenath Chakraborty and Saurav Mallik Journal of Imaging Informatics in Medicine
SCI/SCOPUS
10.1007/s10278-024-01327-z
Springer
https://link.springer.com/article/10.1007/s10278-024-01327-z
2024
2024
2. Audio-Visual Speech Synthesis Using Vision Transformer--Enhanced Autoencoders with Ensemble of Loss Functions Subhayu Ghosh, Snehashis Sarkar, Sovan Ghosh, Frank Zalkow and Nanda Dulal Jana Applied Intelligence
SCI
10.1007/s10489-024-05380-7
Springer
https://link.springer.com/article/10.1007/s10489-024-05380-7
2024
2024
3. CCLCap-AE-AVSS: Cycle Consistency Loss based Capsule Autoencoders for Audio-Visual Speech Synthesis Subhayu Ghosh, Nanda Dulal Jana, Tapas Si, Saurav Mallik and Mohd Asif Shah Journal of Intelligent Systems
ESCI
10.1515/jisys-2023-0171
https://www.degruyter.com/document/doi/10.1515/jisys-2023-0171/html
2024
2024
4. Melanoma Skin Cancer Detection Using Ensemble of Machine Learning Models Considering Deep Feature Embeddings Subhayu Ghosh, Sandipan Dhar, Raktim Yoddha, Shivam Kumar, Abhinav Kumar Thakur, Nanda Dulal Jana Procedia Computer Science
SCOPUS
10.1016/j.procs.2024.04.284
Elsevier
https://www.sciencedirect.com/science/article/pii/S1877050924009633
2024
2024
5. Opposition-based Chaotic Tunicate Swarm Algorithms for Global Optimization Tapas Si, Pericles B.C Miranda, Utpal Nandi, Nanda Dulal Jana, Saurav Mallik, Ujjwal Maulik and Hong Qin IEEE Access
SCIE
10.1109/ACCESS.2024.3359587
https://ieeexplore.ieee.org/abstract/document/10415420
2024
2023
6. GLGAN-VC: A Guided Loss-Based Generative Adversarial Network for Many-to-Many Voice Conversion S. Dhar, N. D. Jana and S. Das IEEE Transactions on Neural Networks and Learning Systems
SCI
doi: 10.1109/TNNLS.2023.3335119.
IEEE
https://ieeexplore.ieee.org/document/10339641
2023
2023
7. Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification A. Ghosh, N. D. Jana, S. Das and R. Mallipeddi IEEE Access
vol. 11, pp. 115280-115305,
SCIE
doi: 10.1109/ACCESS.2023.3323705.
IEEE Access
https://ieeexplore.ieee.org/abstract/document/10278411
9. An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion S. Dhar, N. D. Jana and S. Das, IEEE Transactions on Artificial Intelligence
vol. 4, no. 1, pp. 92-106
SCOPUS
doi: 10.1109/TAI.2022.3149858.
IEEE
https://ieeexplore.ieee.org/abstract/document/9709124
2022
2017
10. A Survey on Metaheuristics for Solving Large Scale Optimization Problems Atinesh Singh and Nanda Dulal Jana International Journal of Computer Applications
Volume 170(5):1-7
SCI/SCOPUS
10.5120/ijca2017914839
https://www.ijcaonline.org/archives/volume170/number5/28063-2017914839
2017
2017
11. Selection of appropriate metaheuristic algorithms for protein structure prediction in AB off-lattice model: a perspective from fitness landscape analysis Nanda Dulal Jana, Jaya Sil, Swagatam Das Information Sciences
Volumes 391–392, 2017, Pages 28-64, ISSN 0020-0255
SCI
https://doi.org/10.1016/j.ins.2017.01.020.
Elsevier
https://www.sciencedirect.com/science/article/pii/S0020025517300889
2017
2016
12. Lévy distributed parameter control in differential evolution for numerical optimization N. D. Jana and J. Sil. Natural Computing
vol. 15, no. 3, pp. 371-384
SCI/SCOPUS
https://doi.org/10.1007/s11047-015-9488-3
Springer
https://link.springer.com/article/10.1007/s11047-015-9488-3
2016
2016
13. Interleaving of particle swarm optimization and differential evolution algorithm for global optimization N. D. Jana and J. Sil. Journal of Computers and Applications
vol. 38, Issue 2-3, 116-133
SCI/SCOPUS
10.1080/1206212X.2016.1218242
Taylor & Francis
https://www.tandfonline.com/doi/abs/10.1080/1206212X.2016.1218242
2016
2016
14. Continuous fitness landscape analysis using chaos based random walk algorithm N. D. Jana, J. Sil, and S. Das. Soft Computing
pp. 1-28
SCI/SCOPUS
DOI: 10.1007/s00500-016-2397-2, 2016
Springer
https://link.springer.com/article/10.1007/s00500-016-2397-2
16. Particle swarm optimisation with differential mutation Tapas Si AND Nanda Dulal Jana International Journal of Intelligent Systems Technologies and Applications
Vol. 11, No. 3/4
Others
https://www.inderscience.com/offers.php?id=52501
2013
2012
17. Particle Swarm Optimization with Adaptive Mutation in Local Best
of Particles Nanda Dulal Jana, Tapas Sia and Jaya Si International Congress on Informatics, Environment, Energy and Applications
Others
2012
2012
18. An Optimized way for Static Channel Allocation in Mobile Networks using Genetic Algorithms Ramesh T k Babu and Nanda Dulal Jana International Journal of Computer Applications
Volume 45(19):48-52
Others
10.5120/7029-9829
https://www.ijcaonline.org/archives/volume45/number19/7029-9829
2012
2012
19. Tapas Si and N. D. Jana. Particle swarm optimization with differential mutation, International Journal of Intelligent Systems Technologies and Applications, Vol.11, No.3/4 pp.212-251, 2012 International Journal of Intelligent Systems Technologies and Applications, Inderscience
SCI/SCOPUS
2012
2011
20. Genetic algorithm for the travelling salesman problem using new crossover and mutation operators Nandadulal Jana, TK Rameshbabu, Samarjit Kar Information and Management Sciences–Processings of the Ninth International Conference on Information and Management Sciences
Others
2011
Conferences
ID
Details
Year
2024
1.Subhayu Ghosh and Nanda Dulal Jana, Audio-Visual Speech Synthesis Leveraging Capsule Enhanced Generative Adversarial Network. 8th ACM International Conference on Data Science and Management of Data [12th IKDD CODS and 30th COMAD] (CODS-COMAD-2024). [Accepted]
Jodhpur, India
2024
2024
2.Subhayu Ghosh, Sonal Kumari and Nanda Dulal Jana: Comparative Performance Analysis of Decision Tree Variants in Heart and Lung Disease Classification. 8th IEEE Kolkata Section Conference (CALCON-2024). [Accepted]
Kolkata, India
2024
2024
3.Arkapravo Nandi, Subhayu Ghosh, Md. Tousin Akhter, Sandipan Dhar and Nanda Dulal Jana: Correlations of Evaluation Metrics for Voice Conversion: An Experimental Analysis. 15th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT-2024). [DOI: https://doi.org/10.1109/ICCCNT61001.2024.10725801]
Mandi, India
2024
2024
4.Subhayu Ghosh and Nanda Dulal Jana: GNNAE-AVSS: Graph Neural Network Based Autoencoders for Audio-Visual Speech Synthesis. IEEE 42nd International Joint Conference on Neural Networks (IJCNN-2024) at IEEE 10th World Congress on Computational Intelligence (WCCI-2024). [DOI: https://doi.org/10.1109/IJCNN60899.2024.10651476]
Yokohama, Japan
2024
2024
5.Subhayu Ghosh, Riyan Acharya and Nanda Dulal Jana: An Experimental Analysis of Machine Learning Models for Diabetes Classification. 7th International Conference on Communication, Devices and Networking (ICCDN-2024) (Publication: Lecture Notes in Electrical Engineering (LNEE), Springer). [Accepted]
Sikkim, India
2024
2023
6.Nanda Dulal Jana, Sandipan Dhar, Subhayu Ghosh, Sukonya Phukan, Rajlakshmi Gogoi and Jyoti Singh: An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification. 3rd International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2023). (Publication: Communications in Computer and Information Science (CCIS), Springer) [DOI: https://doi.org/10.1007/978-3-031-64070-4_24]
Banaras, India
2023
2023
7.Subhayu Ghosh, Sandipan Dhar and Nanda Dulal Jana: A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion. 3rd International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2023). (Publication: Communications in Computer and Information Science (CCIS), Springer) [DOI: https://doi.org/10.1007/978-3-031-64070-4_19]
Banaras, India
2023
2023
8.Sandipan Dhar, Anubhab Sen, Aritra Bandopadhyay, Nanda Dulal Jana, Arjun Ghosh and Zara Sarayloo: Differential Evolution Algorithm based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition. 15th International Joint Conference on Evolutionary Computation Theory and Applications (ECTA-2023). [Accepted]
Rome, Italy
2023
2023
9.Sayantan Das, Sandipan Dhar and Nanda Dulal Jana: Convolutional Feature based Vision Transformer Model for Speech Command Recognition. 20th IEEE India Council International Conference (INDICON-2023). [DOI: https://doi.org/10.1109/INDICON59947.2023.10440809]
Hyderabad, India
2023
2023
10.Sandipan Dhar, Md Tousin Akhter, Nanda Dulal Jana and Swagatam Das: FID-RPRGAN-VC: Fréchet Inception Distance Loss based Region-wise Position Normalized Relativistic GAN for Non-Parallel Voice Conversion. 15th Asia Pacific Signal and Information Processing Association: Annual Summit and Conference (APSIPA ASC-2023). [DOI: https://doi.org/10.1109/APSIPAASC58517.2023.10317438]
Taipei, Taiwan
2023
2023
11.Md Tousin Akhter, Padmanabha Banerjee, Sandipan Dhar, Subhayu Ghosh, Nanda Dulal Jana: Region Normalized Capsule Network Based Generative Adversarial Network for Non-parallel Voice Conversion. 25th International Conference on Speech and Computer (SPECOM-2023). (Publication: Lecture Notes in Computer Science (LNCS), Springer) [DOI: https://doi.org/10.1007/978-3-031-48309-7_20]
Dharwad, India
2023
2023
12.Sandipan Dhar, Arjun Ghosh, Swarup Roy, Avirup Mazumder, Nanda Dulal Jana: Hyperparameter Optimization of CNN Using Genetic Algorithm for Speech Command Recognition. International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS-2022). (Publication: Lecture Notes in Networks and Systems (LNNS), Springer) [DOI: https://doi.org/10.1007/978-981-99-0981-0_10]
Goa, India
2023
2023
13.Sandipan Dhar, Sukonya Phukan, Rajlakshmi Gogoi, Nanda Dulal Jana: Speaker Identification Using Ensemble Learning With Deep Convolutional Features. International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS-2022). (Publication: Lecture Notes in Networks and Systems (LNNS), Springer) [DOI: https://doi.org/10.1007/978-981-99-0981-0_9]
Goa, India
2023
2023
14.Sandipan Dhar, Padmanabha Banerjee, Nanda Dulal Jana, Swagatam Das: Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network. 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2023). [DOI: https://doi.org/10.1109/ICASSP49357.2023.10095069]
Rhodes Island, Greece
2023
2022
15.Sandipan Dhar, Ankit Vishwakarma, Deepto Ghanti, Nanda Dulal Jana: Ensemble Learning based Plant Leaf Disease Classification Considering Deep Convolutional Features from Pre-trained CNN. 6th IEEE Conference on Information and Communication Technology (CICT-2022). [DOI: https://doi.org/10.1109/CICT56698.2022.9997819]
Gwalior, India
2022
2022
16.Arnab Chatterjee, Nanda Dulal Jana: Classification of Sleep Apnea Event Type Using Imbalanced Labelled EEG Signal. IEEE Region 10 Symposium (TENSYMP-2022). [DOI: https://doi.org/10.1109/TENSYMP54529.2022.9864566]
Mumbai, India
2022
2022
17.Sukonya Phukan, Jyoti Singh, Rajlakshmi Gogoi, Sandipan Dhar, Nanda Dulal Jana: Covid-19 chest x-ray image generation using resnet-dcgan model. 4th International Conference on Advances in Intelligent Computing and Communication (ICAC-2021), Bhubaneswar, India. (Publication: Lecture Notes in Networks and Systems (LNNS), Springer) [DOI: https://doi.org/10.1007/978-981-19-0825-5_24]
Bhubaneswar, India
2022
2022
18.Avirup Mazumder, Subhayu Ghosh, Swarup Roy, Sandipan Dhar, Nanda Dulal Jana: Rectified adam optimizer-based cnn model for speaker identification. 4th International Conference on Advances in Intelligent Computing and Communication (ICAC-2021). (Publication: Lecture Notes in Networks and Systems (LNNS), Springer) [DOI: https://doi.org/10.1007/978-981-19-0825-5_16]
Bhubaneswar, India
2022
2022
19.Arjun Ghosh, Nanda Dulal Jana: Artificial Bee Colony Optimization based Optimal Convolutional Neural Network Architecture Design. 19th IEEE India Council International Conference (INDICON-2022). [DOI: https://doi.org/10.1109/INDICON56171.2022.10040217]
Kochi, India
2022
2022
20.Md Tousin Akhter, Padmanabha Banerjee, Sandipan Dhar, Nanda Dulal Jana: An Analysis of Performance Evaluation Metrics for Voice Conversion Models. 19th IEEE India Council International Conference (INDICON-2022). [DOI: https://doi.org/10.1109/INDICON56171.2022.10040000]
Kochi, India
2022
2021
21.Lakshmi Mandal, Nanda Dulal Jana: Automatic Kernel Selection of Support Vector Machine for Drug/Non-Drug Compounds Classification. 18th IEEE India Council International Conference (INDICON-2021). [DOI: https://doi.org/10.1109/INDICON52576.2021.9691528]
Guwahati, India
2021
2020
22.Arjun Ghosh, Nanda Dulal Jana: Neural architecture search with improved genetic algorithm for image classification. IEEE International conference on computational performance evaluation (ComPE-2020). [DOI: https://doi.org/10.1109/ComPE49325.2020.9200164]
Shillong, India
2020
2020
23.Arijit Nandi, Nanda Dulal Jana, Swagatam Das: Improving the performance of neural networks with an ensemble of activation functions. 38th International joint conference on neural networks (IJCNN-2020). [DOI: https://doi.org/10.1109/IJCNN48605.2020.9207277]
Glasgow, UK
2020
2019
24.Lakshmi Mandal, Nanda Dulal Jana: A comparative study of Naive Bayes and k-NN algorithm for multi-class drug molecule classification. 16th IEEE India Council International Conference (INDICON-2019),. [DOI: https://doi.org/10.1109/INDICON47234.2019.9029095]
Rajkot, India
2019
2019
25.Lakshmi Mandal, Nanda Dulal Jana: Prediction of Active Drug Molecule using Back-Propagation Neural Network. 8th International Conference System Modeling and Advancement in Research Trends (SMART-2019). [DOI: https://doi.org/10.1109/SMART46866.2019.9117378]
Moradabad, India
2019
2019
26.Palash Mondal, Arijit Nandi, Nanda Dulal Jana: An Improved Particle Swarm Optimization based Neural Network Training for Classification. IEEE Region 10 Symposium (TENSYMP-2019). [DOI: https://doi.org/10.1109/TENSYMP46218.2019.8971232]
Kolkata, India
2019
2017
27.Jana, N., Sil, J., & Das, S. (2017). Protein Structure Optimization in 3D AB Off-Lattice Model Using Biogeography Based Optimization with Chaotic Mutation. In Proceedings of the 4th ACM IKDD Conferences on Data Sciences. Association for Computing Machinery.
Chennai
2017
2017
28.Jana, N.D., Sil, J., Das, S. (2017). An Improved Harmony Search Algorithm for Protein Structure Prediction Using 3D Off-Lattice Model. In: Del Ser, J. (eds) Harmony Search Algorithm. ICHSA 2017. Advances in Intelligent Systems and Computing, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-10-3728-3_30
Spain
2017
2015
29.D. Saha, S. Banerjee and N. D. Jana, "Multi-objective Particle Swarm Optimization based on adaptive mutation," Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), Hooghly, India, 2015, pp. 1-5, doi: 10.1109/C3IT.2015.7060214.
Hooghly
2015
2015
30.S. Banerjee and N. D. Jana, "Bi level kapurs entropy based image segmentation using particle swarm optimization," Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), Hooghly, India, 2015, pp. 1-4, doi: 10.1109/C3IT.2015.7060212.
Hooghly
2015
2015
31.Jana, N.D., Sil, J., Das, S. (2015). Improved Bees Algorithm for Protein Structure Prediction Using AB Off-Lattice Model. In: Matoušek, R. (eds) Mendel 2015. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-319-19824-8_4
Czech Republic
2015
2015
32.Banerjee, S., Saha, D., Jana, N.D. (2015). Color Image Segmentation Using Cauchy-Mutated PSO. In: Mandal, D., Kar, R., Das, S., Panigrahi, B. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 343. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2268-2_26
New Delhi
2015
2015
33.Chauhan, S., Banerjee, S., Jana, N.D. (2015). Large-Scale Global Optimization Using Dynamic Population-Based DE. In: Mandal, D., Kar, R., Das, S., Panigrahi, B. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 343. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2268-2_27
New Delhi
2015
2014
34.N. D. Jana, J. Sil and S. Das, "Particle Swarm Optimization with population adaptation," 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 2014, pp. 573-578, doi: 10.1109/CEC.2014.6900462.
China
2014
2014
35.Jana, N.D., Sil, J. (2014). Particle Swarm Optimization with Lévy Flight and Adaptive Polynomial Mutation in gbest Particle. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_28
Mysore
2014
2013
36.A. N. Hati, R. Darbar, N. D. Jana and J. Sil, "Modified Artificial Bee Colony Algorithm using differential evolution and polynomial mutation for real-parameter optimization," 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, India, 2013, pp. 534-539, doi: 10.1109/ICACCI.2013.6637228.
Mysore
2013
2013
37.Jana, N.D., Sil, J. (2013). Hybrid Particle Swarm Optimization Technique for Protein Structure Prediction Using 2D Off-Lattice Model. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8298. Springer, Cham. https://doi.org/10.1007/978-3-319-03756-1_17
Chennai
2013
2013
38.Jana, N.D., Hati, A.N., Darbar, R., Sil, J. (2013). Real Parameter Optimization Using Levy Distributed Differential Evolution. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_85
Kolkata
2013
2013
39.Jana, N.D., Sil, J. (2013). Particle Swarm Optimization with Exploratory Move. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_86
Kolkata
2013
2013
40.Jana, N.D., Si, T., Sil, J. (2013). Fast Convergence in Function Optimization Using Modified Velocity Updating in PSO Algorithm. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_58
Bhubaneswar
2013
2012
41.N. D. Jana and J. Sil, "Particle swarm optimization with backtracking in protein structure prediction problem," 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012), Hong Kong, China, 2012, pp. 734-738, doi: 10.1109/ICSPCC.2012.6335672.
Hong Kong
2012
2012
42.Sayantan Mandal, Nanda Dulal Jana, "Protein structure prediction using 2D HP lattice model based on integer programming approach", Proceedings of 2012 International Congress on Informatics, Environment, Energy and Applications.
China
2012
2012
43.Si, T., Jana, N.D., Sil, J. (2012). PSO-Tuned Control Parameter in Differential Evolution Algorithm. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_49
Bhubaneswar
2012
2012
44.Si, T., Hazra, S., Jana, N.D. (2012). Artificial Neural Network Training Using Differential Evolutionary Algorithm for Classification. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_88
Visakhapatnam
2012
2012
45.Jana, N.D., Sil, J. (2012). Protein Structure Prediction in 2D HP Lattice Model Using Differential Evolutionary Algorithm. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_32
Visakhapatnam
2012
2011
46.Si, T., Jana, N.D., Sil, J. (2011). Constrained Function Optimization Using PSO with Polynomial Mutation. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27172-4_26
Visakhapatnam
2011
Books
ID
Title
Nanda Dulal Jana, Swagatam Das, and Jaya Sil: A Metaheuristic Approach to Protein Structure Prediction: Algorithms and Insights from Fitness Landscape Analysis. Springer Verlag, Germany (2018). [DOI: https://doi.org/10.1007/978-3-319-74775-0]
ERP
