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Nirupam Chakraborti

	N Chakraborti Ph.D.(Univ. of Washington) Professor, Metallurgical & Materials Engineering
	N Chakraborti joined the Institute in 2000

Contact Addresses

Residence	B-42, IIT Campus, Kharagpur 721302
Phone (office)	+91 - 3222 - 283286
Phone (residence)	+91 - 3222 - 283603 (IIT Phone) +91 - 3222 - 278614 (Private Phone)
email	nchakrab @ metal.iitkgp.ernet.in
More Information

Research Areas

Awards & Honours

Adjunct Professorship, POSTECH, Korea ( 2005)

Current Sponsored Projects

Project Title : Evaluation of manganese Extraction from Ocean Nodules using a new approach
Principal Investigator : P.K. sen
Co-Principal-Investigators : N. Chakraborti
Sponsor : Ocean Development Board

On-going Consultancy Projects

Project Name : Genetic Algorithms in hydrocyclones
Client : TATA Steel
Consultant : N. Chakraborti
Co-consultant(s) : S. Chakraborty
Project Name : Genetic Algorithms in Hydrocyclones
Client : TATA STEEL
Consultant : N. Chakraborti
Co-consultant(s) : S. Chakraborty
Project Name : Optimizing Properties of galvanized Steels
Client : Tata Steel
Consultant : N. Chakraborti
Co-consultant(s) : B. Bhattacharya

Member, Editorial Board

Member, Editorial Board : Materials & Manufacturing Processes
Member, Editorial Board : International Journal of Machining and Machinability of Materials
Member, Editorial Board : Journal of Advanced Research in Evolutionary Algorithms

Publications: 2008 - 2009

Tailor-made material design: An evolutionary approach using multi-objective genetic algorithms by N. Chakraborti, R. Sreevathsan, R. Jayakanth, B. Bhattacharya Computational Materials Science, 45, 1 (2009)
Genetic algorithms based multi-objective optimization of an iron making rotary kiln, by N. Chakraborti, D Mohanty and A Chandra Computational Materials Science, 45, 181 (2009)
Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels by N. Chakraborti, S. Ganguly and S. Datta Computational Materials Science, 45, 158 (2009)
Modeling of recrystallization in cold rolled copper using inverse cellular automata and genetic algorithms by N. Chakraborti,S Ghosh, P Gabane and A Bose Computational Materials Science, 45, 96 (2009)
Analyzing Leaching Data for Low-Grade Manganese Ore Using Neural Nets and Multiobjective Genetic Algorithms by N. Chakraborti, F. Pettersson, A. Biswas, P.K Sen, H. SaxÃ©n, Materials and Manufacturing Processes, 24, 320 (2009)
Identification and Optimization of AB2 Phases Using Principal Component Analysis, Evolutionary Neural Nets, and Multiobjective Genetic Algorithms by N. Chakraborti, A. Agarwal, F. Pettersson, A. Singh, C. S. Kong, H. SaxÃ©n, K. Rajan, S. Iwata Materials and Manufacturing Processes, 24, 274 (2009)
Analyzing Sparse Data for Nitride Spinels Using Data Mining, Neural Networks, and Multiobjective Genetic Algorithms by N. Chakraborti, F. Pettersson, C Suh , H SaxÃ©n and K. Rajan Materials and Manufacturing Processes, 24, 2 (2009)
Multiobjective Optimization of Manganese Recovery from Sea Nodules Using Genetic Algorithms Materials and Manufacturing Processes by N. Chakraborti, A. Biswas and P.K. Sen Materials and Manufacturing Processes, 24, 22 (2009)
Designing the Multiphase Microstructure of Steel for Optimal TRIP Effect: A Multiobjective Genetic Algorithm Based Approach by N. Chakraborti, S. Ganguly, S. Datta and P. P. Chattopadhyay Materials and Manufacturing Processes, 24, 31 (2009)
Real-world applications of multiobjective optimization by N. Chakraborti, Stewart, T., Bandte, O., Braun, H., , Ehrgott, M., GoÌˆbelt, M., Jin, Y., Nakayama, H, Poles, S, Di Stefano, D Lecture Notes in Computer Science, 5252 LNCS, p. 285 (2009)
Fluid flow in hydrocyclones optimized through multi-objective genetic algorithms, by N. Chakraborti, A. Shekhar, A. Singhal, S. Chakraborty , S. Chowdhury, R. Sripriya. Inverse Problems in Science and Engineering, 16,1023 (2008)
A new multi-objective genetic algorithm applied to hot-rolling process by N. Chakraborti, BS Kumar, VS,Babu, S Moitra, A. Mukhopadhyay Applied Mathematical modelling, 32, 1781 (2008)
Extraction of Factors Governing Mechanical Properties of TRIP-Aided Steel by Genetic Algorithms by N. Chakraborti, S. Datta, F. Pettersson, S. Ganguly and H. SaxÃ©n Materials and Manufacturing Processes, 23,130 (2008)
Multi-Objective Materials Design by Genetic Algorithmsâ€”Generalized for B1 and B2 Ionic Structures, Journal of Computational and Theoretical Nanoscience by N. Chakraborti, R. Sreevathsan, , B. Bhattacharya, G. Dinesh Kumar Journal of Computational and Theoretical Nanoscience, 6 (2009)

Publications: 2007 - 2008

Neural networks analysis of steel plate processing augmented by multi-objective genetic algorithms by Pettersson F, Chakraborti N, Singh SB, STEEL RESEARCH INTERNATIONAL, 78 890-898 (2007)
Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks by Datta S, Pettersson F, Ganguly S, Saxen H, Chakraborti N, MATERIALS AND MANUFACTURING PROCESSES, 23 13-138 (2008)
Designing high strength multi-phase steel for improved strength-ductility balance using neural networks and multi-objective genetic algorithms by Datta S, Pettersson F, Ganguly S, Saxen H, Chakraborti N, ISIJ INTERNATIONAL, 47 1195-1203 (2007)

Publications: 2006 - 2007

Genetic Algorithms applied to Li+ ions contained in carbon nanotubes: An investigation using Particle Swarm Optimization and Differential Evolution along with Molecular Dynamics, Materials and Manufacturing Processes by N. chakraborti, S. Das, R. Jayakant, R. Pekoz, and Åž. ErkoÃ§, Materials and Manufacturing Processes, 22, 562 (2007)
Genetic Algorithms in optimization of strength and ductility of low carbon steels by S. Ganguly , S. Datta and N. Chakraborti, Materials and Manufacturing Processes, 22, 650 (2007)
Evolutionary and Genetic Algorithms Applied to Li+-C System: Calculations Using Differential Evolution and Particle Swarm Algorithm by N. Chakraborti, R. Jayakanth, S. Das, E.D. Ã‡aliÅŸir, and Åž. ErkoÃ§, Journal of Phase Equilibria and Diffusion, 28, 140 (2007)
Evolutionary and Genetic Algorithms Applied to Hot Rolling: A Multi-objective Rolling Schedule Studied Using Particle Swarm Algorithm by N. Chakraborti, S. Moitra, A. Mitra and A. Mukhopadhyay, Transactions of Indian Institute of Metals, 59, 681 (2006)
Fluid Flow in a Tundish Optimized through Genetic Algorithms by A. Kumar, S. Chakraborty and N. Chakraborti, Steel Research International, 78, (2007)
A novel method for alignment of two nucleic acid sequences using ant colony optimization and genetic algorithms by S.R. Jangam and N. Chakraborti, Applied Soft Computing, 7, 1121 (2007)
A Genetic Defense for Materials Research by N. Chakraborti, Materials and Manufacturing Processes, 22, 531 (2007)

Publications: 2005 - 2006

Genetic algorithms in these changing steel times by N. Chakraborti, Ironmaking & Steelmaking,, 32, p. 401 (2005)
Modeling Noisy Blast Furnace Data using Genetic Algorithms and Neural Networks by N. Chakraborti (with M. Helle, F. Pettersson and H. SaxÃ©n)., Steel Research International, 77, p. 75 (2006)
A Genetic Algorithms-Based Multi-objective Approach for a Three-Dimensional Guillotine Cutting Problem by N. Chakraborti (with Y. Vidyakiran and B. Mahanty)., Materials and Manufacturing Processes, 20, p.697 (2005)
Modeling the Recrystallization Process Using Inverse Cellular Automata and Genetic Algorithms: Studies Using Differential Evolution 2005, , by N. Chakraborti (with T.D. Rane, S. Ghosh and K. Mitra), Journal of Phase Equilibria and Diffusion, 26, p. 311 (2005)
The Williams and Otto Chemical Plant Re-evaluated Using a Pareto Optimal Formulation Aided By Genetic Algorithms by N. Chakraborti (with P. Mishra, A. Aggarwal, A. Banerjee and S.S. Mukherjee), Applied Soft Computing, 6: p. 189 (2006)
Simulating Recrystallization through Cellular Automata and Genetic Algorithms by N. Chakraborti (with R. Dewri), Modelling and Simulation in Materials Science and Engineering, 13: p. 173 (2005)
Regulating Crown and Flatness During Hot Rolling: A Multi-objective Optimization Study Using Genetic Algorithms by N. Chakraborti (with R. Nandan, R. Rai, R. Jayakanth,S. Moitra, and A. Mukhopadhyay, Materials and Manufacturing Processes,, 20, p. 459 (2005)
Gas Injection in Steelmaking Vessels: Coupling a Fluid Dynamic Analysis with a Genetic Algorithms Based Pareto-optimality, by N. Chakraborti (with A Kumar, D. Sahoo, S Chakraborty), Materials and Manufacturing Processes,, 20, p. 363. (2005)
Multi-objective Optimization of a Two-Dimensional Cutting Problem Using Genetic Algorithms by N. Chakraborti (with S. Tiwari)., Journal of Materials Processing Technology, 173, p. 384 (2006)
Optimizing Surface Profiles during Hot Rolling: A Genetic Algorithms Based Multi-objective Optimization by N. Chakraborti (with B. Siva Kuamr, V. Satish Babu, S. Moitra, and A. Mukhopadhyay)., Computational Materials Science, 37, p. 159 (2006)
Re-evaluation of the Optimal Operating Conditions for the Primary End of an Integrated Steel Plant using Multi-objective Genetic Algorithms and Nash Equilibrium by N. Chakraborti (With B.M. Hodge and F. Pettersson., Steel Research International, 77, p. 459 (2006)

Some Earlier Publications

Re-evaluation of Some Select Si_nH_2m Clusters Using Genetic Algorithms by N. Chakraborti and R. Kumar, Journal of Phase Equilibria, 24 (2003) 132
The Optimal Scheduling of a Reversing Strip Mill: Studies Using Multi-population Genetic Algorithms and Differential Evolution by N. Chakraborti and A. Kumar, Materials and Manufacturing Processes, 18 (2003) 307
Application of Genetic Algorithms to Hydrogenated Silicon Clusters by R. Prasad and N. Chakraborti, Bulletin of Materials Science, 26 (2003) 127
The Genetic Path of Materials Research by N. Chakraborti, Materials and Manufacturing Processes, 18 (2003) 301
Genetic Algorithms Based Structure Calculations for Hydrogenated Silicon Clusters by N. Chakraborti, P.S. De and R. Prasad, Materials Letters, 55 (2002) 20
Genetic Algorithms in Ferrous Production Metallurgy by N. Chakraborti, Surveys on Mathematics for Industry, 10 (2002) 269
Tight-binding Calculations of Si-H Clusters Using Genetic Algorithms and Related Techniques: Studies Using Differential Ev by N. Chakraborti, K. Mishra, P. Bhatt, N. Barman and R. Prasad, Journal of Phase Equilibria, 22 (2001) 525

Indian Institute of Technology Kharagpur, Kharagpur - 721302, INDIA
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