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Dr. Madhusudana Rao Nalluri

Associate Professor, School of Computing, Amaravati

Qualification: M.Tech, MSc, Ph.D
n_madhusudanarao@cb.amrita.edu
Google Scholar Profile
Research Interest: Evolutionary Algorithms, Heuristics for NP-HARD/ Complete Problems, Machine Learning, Multi-Objective Optimization

Bio Publications Education
Bio

Dr. Madhusudana Rao Nalluri is currently working as an Associate Professor in the Department of Computer Science and Engineering, School of Computing, Amaravati Campus.

Earlier, he worked as Assistant Professor-III in the School of Computing of Sastra University for 9 years. Before joining Sastra, he worked as Senior Lecturer in the Computer Science and Engineering department of the National Institute of Science and Technology during the academic year 2009-10.

He received his M. Sc. degree in Pure Mathematics from Andhra University, India. He has obtained 84th rank in Gate-2007. He received his M.Tech. degree in Scientific Computing from Birla Institute of Technology India. He earned his Ph. D. degree from Sastra University, in February 2019. His Ph. D. thesis title is “Development of Hybrid Computational Intelligence Techniques for Multi-Objective Optimization of Classification Models using Enhanced Evolutionary Algorithms”. He has authored around 17 technical papers in reputed conferences and journals indexed in Scopus and SCI. His cumulative impact factor of SCI-indexed publications is 12.825.

Publications

Journal Article

Year : 2021

Evaluation of metrics and a dynamic thresholding strategy for high precision single sensor scene matching applications

Cite this Research Publication : D. Lakshmi Krishnan, K, K., R, M., and Madhusudana Rao Nalluri, “Evaluation of metrics and a dynamic thresholding strategy for high precision single sensor scene matching applications”, Multimedia Tools and Applications , 2021.

Publisher : Multimedia Tools and Applications

Year : 2020

Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems

Cite this Research Publication : Madhusudana Rao Nalluri, K, K., Gao, X. - Z., V, S., and Roy, D. Sinha, “Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems”, Intelligent Data Analysis, vol. 24, no. 6, pp. 1365 - 1384, 2020.

Publisher : Intelligent Data Analysis

Year : 2020

Multi-objective optimization of feature selection using hybrid cat swarm optimization

Cite this Research Publication : X. - Z. Gao, Madhusudana Rao Nalluri, Kannan, K., and Sinharoy, D., “Multi-objective optimization of feature selection using hybrid cat swarm optimization”, Science China Technological Sciences, 2020.

Publisher : Science China Technological Sciences

Year : 2020

Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem

Cite this Research Publication : Madhusudana Rao Nalluri, Kannan, K., Gao, X. - Z., and Roy, D. Sinha, “Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem”, International Journal of Machine Learning and Cybernetics volume , vol. 11, no. 7, pp. 1423 - 1451, 2020.

Publisher : International Journal of Machine Learning and Cybernetics volume

Year : 2019

A novel fast medical image segmentation scheme for anatomical scans

Cite this Research Publication : Saru Meena Ramu, Muthaiah Rajappa, Kannan Krithivasan, and Madhusudana Rao Nalluri, “A novel fast medical image segmentation scheme for anatomical scans”, Multimedia Tools and Applications, vol. 78, no. 15, pp. 21391–21422, 2019.

Publisher : Multimedia Tools and Applications

Year : 2019

An efficient hybrid meta-heuristic approach for cell formation problem

Cite this Research Publication : Madhusudana Rao Nalluri, Kannan K., Xiao-Zhi Gao, and Diptendu Sinha Roy, “An efficient hybrid meta-heuristic approach for cell formation problem”, Soft Computing, vol. 23, no. 19, pp. 9189 - 9213, 2019.

Publisher : Soft Computing

Year : 2018

Novel classifiers for intelligent disease diagnosis with multi-objective parameter evolution

Cite this Research Publication : Madhusudana Rao Nalluri, Krithivasan Kannan, Xiao-Zhi Gao, and Diptendu Sinha Roy, “Novel classifiers for intelligent disease diagnosis with multi-objective parameter evolution”, Computers & Electrical Engineering, vol. 67, pp. 483 - 496, 2018.

Publisher : Computers & Electrical Engineering .

Year : 2017

Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization.

Cite this Research Publication : Madhusudana Rao Nalluri, Kannan K., Manisha M, and Diptendu Sinha Roy, “Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization.”, Journal of Healthcare Engineering, vol. 2017, p. 5907264, 2017.

Publisher : Journal of Healthcare Engineering

Conference Proceedings

Year : 2020

A New Approach for Bias–Variance Analysis Using Regularized Linear Regression

Cite this Research Publication : M. Rajasekhar Reddy, B. Nithish Kumar, Madhusudana Rao Nalluri, and B. Karthikeyan, “A New Approach for Bias–Variance Analysis Using Regularized Linear Regression”, Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals. Springer Singapore, Singapore, pp. 35-46, 2020.

Publisher : Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals. Springer Singapore

Year : 2020

Prediction of Gene Selection Features Using Improved Multi-objective Spotted Hyena Optimization Algorithm

Cite this Research Publication : S. Divya, Eranki L. N. Kiran, Madhusudana Rao Nalluri, and Pujitha Vemulapati, “Prediction of Gene Selection Features Using Improved Multi-objective Spotted Hyena Optimization Algorithm”, Data Communication and Networks. Springer Singapore, Singapore, pp. 59-67, 2020.

Publisher : Data Communication and Networks. Springer Singapore

Year : 2017

Increasing the quality of reconstructed image through hybrid compression technique

Cite this Research Publication : S. D. Suganya, M. R. Reddy, and Madhusudana Rao Nalluri, “Increasing the quality of reconstructed image through hybrid compression technique”, 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2017.

Publisher : International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)

Year : 2017

An efficient feature selection using parallel cuckoo search and naïve Bayes classifier

Cite this Research Publication : T. S. Sujana, Madhusudana Rao Nalluri, and R. S. Reddy, “An efficient feature selection using parallel cuckoo search and naïve Bayes classifier”, 2017 International Conference on Networks Advances in Computational Technologies (NetACT). 2017.

Publisher : 2017 International Conference on Networks Advances in Computational Technologies (NetACT).

Year : 2017

An efficient feature selection using artificial fish swarm optimization and svm classifier

Cite this Research Publication : Madhusudana Rao Nalluri, T. SaiSujana, K. H. Reddy, and V. Swaminathan, “An efficient feature selection using artificial fish swarm optimization and svm classifier”, 2017 International Conference on Networks Advances in Computational Technologies (NetACT). 2017.

Publisher : International Conference on Networks Advances in Computational Technologies (NetACT)

Year : 2013

Meta Heuristic Approaches for Circular Open Dimension Problem

Cite this Research Publication : Madhusudana Rao Nalluri, M. Aruna, and S. Bhuvaneswari, “Meta Heuristic Approaches for Circular Open Dimension Problem”, Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, Cham, pp. 44-54, 2013.

Publisher : Springer International Publishing

Year : 2012

An ant colony metaheuristic approach for optimal reliability assessment of software systems incorporating redundancy

Cite this Research Publication : Madhusudana Rao Nalluri, D. S. Roy, P. R. Parro, and D. K. Mohanta, “An ant colony metaheuristic approach for optimal reliability assessment of software systems incorporating redundancy”, 2012 World Congress on Information and Communication Technologies. 2012.

Publisher : World Congress on Information and Communication Technologies

Year : 2011

A binary integer programming solution for optimal reliability of computer relaying software incorporating redundancy

Cite this Research Publication : Madhusudana Rao Nalluri, V. M. K. P. Goura, D. S. Roy, and D. K. Mohanta, “A binary integer programming solution for optimal reliability of computer relaying software incorporating redundancy”, 2011 IEEE Recent Advances in Intelligent Computational Systems. 2011.

Publisher : IEEE Recent Advances in Intelligent Computational Systems.

Year : 2011

Application of NSGA – II to Power System Topology Based Multiple Contingency Scrutiny for Risk Analysis

Cite this Research Publication : Madhusudana Rao Nalluri, Diptendu Sinha Roy, and Dusmanta K. Mohanta, “Application of NSGA - II to Power System Topology Based Multiple Contingency Scrutiny for Risk Analysis”, SEMCCO 2011: Swarm, Evolutionary, and Memetic Computing. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 706-713, 2011.

Publisher : Springer Berlin Heidelberg, Berlin

Year : 2011

A dynamic clustering technique using minimumspanning tree

Cite this Research Publication : V. M. K. Prasad Goura, Madhusudana Rao Nalluri, and M. Rajasekhar Reddy, “A dynamic clustering technique using minimumspanning tree”, 2nd International Conference on Biotechnology and Food Science IPCBEE, vol. 7. IACSIT Press, Singapore, 2011.

Publisher : IACSIT Press

Education
  • 2019: Ph. D.(Computer Science and Engineering)
    Sastra University
  • 2009: M. Tech. (Scientific Computing)
    Birla Institute of Technology
  • 2005: M. Sc. (Pure Mathematics)
  • Andhra University
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