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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
Computational Materials Science
Genetic Algorithms
Process Metallurgy
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. Saxén,
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. Saxén, 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 Saxén 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., Göbelt, 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. Saxén
Materials and Manufacturing Processes
,
23,130
(2008)
Multi-Objective Materials Design by Genetic Algorithms—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 Ş. Erkoç,
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. Çalişir, and Ş. Erkoç,
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. Saxén).,
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
n
H
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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