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D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6101
World Ranking
7358
National Ranking
139

Overview

Dilip Kumar Pratihar is affiliated with the Indian Institute of Technology Kharagpur in India and has contributed extensively to the field of engineering, with a focus on mechanical engineering, biomedical engineering, materials chemistry, control and systems engineering, and artificial intelligence. Their work spans a range of topics primarily centered around manufacturing, robotics, and materials science.

The scientist's research output includes several notable recent papers, such as:

  • Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems, 2021, Applied Intelligence
  • Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization, 2020, Knowledge and Information Systems
  • Solving engineering optimization problems using an improved real-coded genetic algorithm (IRGA) with directional mutation and crossover, 2021, Soft Computing
  • Experimental investigation and parametric optimization for minimization of dilution during direct laser metal deposition of tungsten carbide and cobalt powder mixture on SS304 substrate, 2021, Powder Technology
  • An approach towards energy and material efficient additive manufacturing: Multi-objective optimization of stellite-6 deposition on SS304, 2021, Optics & Laser Technology

Frequently collaborating with other researchers, Dilip Kumar Pratihar has worked alongside:

  • Amit Kumar Das
  • Partha Saha
  • Sanjib Jaypuria
  • Vidyapati Kumar
  • Debasish Das

Their contributions have appeared repeatedly in several publication venues, including:

  • Arabian Journal for Science and Engineering
  • Expert Systems with Applications
  • Knowledge and Information Systems
  • Optics & Laser Technology
  • IEEE Sensors Journal

Dilip Kumar Pratihar has authored books published by Springer Nature, with titles such as:

  • Multi-body Dynamic Modeling of Multi-legged Robots, 2020
  • Advances in Materials and Manufacturing Engineering, 2020

Their core research topics include:

  • Welding Techniques and Residual Stresses
  • Prosthetics and Rehabilitation Robotics
  • Robotic Locomotion and Control
  • Advanced Welding Techniques Analysis
  • Advanced machining processes and optimization
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Advanced Machining and Optimization Techniques

The body of work collectively reflects engagement with both theoretical heuristic optimization methods and practical engineering applications, particularly in additive manufacturing, welding, robotics, and materials processing.

Best Publications

  • A survey on influence maximization in a social network

    Suman Banerjee;Mamata Jenamani;Dilip Kumar Pratihar

  • Task allocation and collision-free path planning of centralized multi-robots system for industrial plant inspection using heuristic methods

    Kelin Jose;Dilip Kumar Pratihar

  • A genetic-fuzzy approach for mobile robot navigation among moving obstacles

    Dilip Kumar Pratihar;Kalyanmoy Deb;Amitabha Ghosh

  • Modeling of TIG welding process using conventional regression analysis and neural network-based approaches

    Parikshit Dutta;Dilip Kumar Pratihar

  • Time-optimal, collision-free navigation of a car-like mobile robot using neuro-fuzzy approaches

    Nirmal Baran Hui;V. Mahendar;Dilip Kumar Pratihar

  • Effects of turning gait parameters on energy consumption and stability of a six-legged walking robot

    Shibendu Shekhar Roy;Dilip Kumar Pratihar

  • Optimization of bead geometry in electron beam welding using a Genetic Algorithm

    Vidyut Dey;Dilip Kumar Pratihar;G.L. Datta;M.N. Jha

  • A Comparative Study of Fuzzy C-Means Algorithm and Entropy-Based Fuzzy Clustering Algorithms

    Subhagata Chattopadhyay;Dilip Kumar Pratihar;Sanjib Chandra De Sarkar

  • Soft Computing: Fundamentals and Applications

    D. K. Pratihar

  • Identification of flow regimes using conductivity probe signals and neural networks for counter-current gas–liquid two-phase flow

    S. Ghosh;D.K. Pratihar;B. Maiti;P.K. Das

  • Tuning of neural networks using particle swarm optimization to model MIG welding process

    Rakesh Malviya;Dilip Kumar Pratihar

  • Global versus cluster-wise regression analyses for prediction of bead geometry in MIG welding process

    J.P. Ganjigatti;Dilip Kumar Pratihar;A. Roy Choudhury

  • Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach

    Dilip Kumar Pratihar;Kalyanmoy Deb;Amitabha Ghosh

  • Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems

    Amit Kumar Das;Dilip Kumar Pratihar

  • A comparative study on some navigation schemes of a real robot tackling moving obstacles

    Nirmal Baran Hui;Dilip Kumar Pratihar

  • ComBIM: A community-based solution approach for the Budgeted Influence Maximization Problem

    Suman Banerjee;Mamata Jenamani;Dilip Kumar Pratihar

  • Modeling of the MIG welding process using statistical approaches

    J. P. Ganjigatti;D. K. Pratihar;A. RoyChoudhury

  • Forward and reverse mappings in green sand mould system using neural networks

    Mahesh B. Parappagoudar;D. K. Pratihar;G. L. Datta

  • Optimization of CNC isoscallop free form surface machining using a genetic algorithm

    Rajneesh Kumar Agrawal;D.K. Pratihar;A. Roy Choudhury

  • Detection and quantitative assessment of corrosion on pipelines through image analysis

    Venkatasainath Bondada;Dilip Kumar Pratihar;Cheruvu Siva Kumar

  • Dynamic modeling, stability and energy consumption analysis of a realistic six-legged walking robot

    Shibendu Shekhar Roy;Dilip Kumar Pratihar

  • Experimental investigations and statistical analysis of pulsed laser bending of AISI 304 stainless steel sheet

    Kuntal Maji;D.K. Pratihar;A.K. Nath

Frequent Co-Authors

Prasanta Kumar Das
Prasanta Kumar Das Indian Institute of Technology Kharagpur
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Sanjay Gupta
Sanjay Gupta The University of Texas MD Anderson Cancer Center
Amit Das
Amit Das Leibniz-Institut für Polymerforschung Dresden e. V.
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Sushanta Kumar Panda
Sushanta Kumar Panda Indian Institute of Technology Kharagpur

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