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Engineering and Technology

D-Index
58
Citations
11283
World Ranking
2521
National Ranking
41

Overview

Bhaskar D. Kulkarni is affiliated with the Council of Scientific and Industrial Research in India. Their research spans multiple scientific fields including Computer Science, Materials Science, and Biochemistry, Genetics and Molecular Biology. Within these broader disciplines, Kulkarni has contributed to subfields such as Computational Theory and Mathematics, Materials Chemistry, and Molecular Biology.

Kulkarni's research interests focus on key topics like Computational Drug Discovery Methods, Machine Learning in Materials Science, and Protein Structure and Dynamics. These topics reflect an interdisciplinary approach combining computational techniques with applications in chemistry and biology.

Their publication record includes at least one notable paper titled "On the use of electronegativity and electron affinity based pseudo-molecular field descriptors in developing correlations for quantitative structure-activity relationship modeling of drug activities," published in 2021 in the journal Chemical Biology & Drug Design.

Frequent co-authors who have collaborated with Kulkarni include:

  • Pranav D. Pathak
  • Saurabh N. Joglekar
  • Sachin A. Mandavgane
  • Pushkar D. Kunde
  • Sudha Ramkumar

Kulkarni has published primarily in the journal Chemical Biology & Drug Design, which aligns with their work in drug discovery and molecular biology.

Best Publications

  • An ant colony approach for clustering

    P.S Shelokar;V.K Jayaraman;B.D Kulkarni

  • Particle swarm and ant colony algorithms hybridized for improved continuous optimization

    P. S. Shelokar;Patrick Siarry;Valadi K. Jayaraman;Bhaskar D. Kulkarni

  • Role of Surfactants in Promoting Gas Hydrate Formation

    Asheesh Kumar;Gaurav Bhattacharjee;B. D. Kulkarni;Rajnish Kumar

  • Comparative assessment of downstream processing options for lactic acid

    H.G. Joglekar;Imran Rahman;Suresh Babu;B.D. Kulkarni

  • Fruit peel waste: characterization and its potential uses

    Pranav D. Pathak;Sachin A. Mandavgane;Bhaskar D. Kulkarni

  • Soft-sensor development for fed-batch bioreactors using support vector regression

    Kiran Desai;Yogesh Badhe;Sanjeev S. Tambe;Bhaskar D. Kulkarni

  • Ant Colony Approach to Continuous Function Optimization

    Mohit Mathur;Sachin B. Karale;Sidhartha Priye;V. K. Jayaraman

  • Estimation of gross calorific value of coals using artificial neural networks

    Shagufta U. Patel;B. Jeevan Kumar;Yogesh P. Badhe;B.K. Sharma

  • Fruit peel waste as a novel low-cost bio adsorbent

    Pranav D. Pathak;Sachin A. Mandavgane;Bhaskar D. Kulkarni

  • Ant colony framework for optimal design and scheduling of batch plants

    V.K. Jayaraman;B.D. Kulkarni;Sachin Karale;Prakash Shelokar

  • Synthesis, characterization and catalytic performance of titanium silicalite-1 prepared in micellar media

    R.B. Khomane;B.D. Kulkarni;A. Paraskar;S.R. Sainkar

  • Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process

    Abhijit J. Kulkarni;Vaidyanathan K. Jayaraman;Bhaskar D. Kulkarni

  • Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM

    Piyushkumar Mundra;Madhan Kumar;K. Krishna Kumar;Valadi K. Jayaraman

  • Synthesis and magnetic properties of barium-calcium hexaferrite particles prepared by sol-gel and microemulsion techniques

    R.B. Jotania;R.B. Khomane;C.C. Chauhan;S.K. Menon

  • Green synthesis of silver nanoparticles using sunlight

    Gaurav A. Bhaduri;Ross Little;Ramdas B. Khomane;Suhas U. Lokhande

  • Efficient Conversion of Cellulose to Levulinic Acid by Hydrothermal Treatment Using Zirconium Dioxide as a Recyclable Solid Acid Catalyst

    Sunil S. Joshi;Amit D. Zodge;Kiran V. Pandare;Bhaskar D. Kulkarni

  • Sulfur Nanoparticles Synthesis and Characterization from H2S Gas, Using Novel Biodegradable Iron Chelates in W/O Microemulsion

    Aniruddha S Deshpande;Ramdas B Khomane;Bhalchandra K Vaidya;Renuka M Joshi

  • Dynamic optimization of chemical processes using ant colony framework.

    J. Rajesh;Kapil Gupta;Hari Shankar Kusumakar;Vaidyanathan K. Jayaraman

  • A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli

    Susan Idicula-Thomas;Abhijit J. Kulkarni;Bhaskar D. Kulkarni;Valadi K. Jayaraman

  • Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: study of benzene isopropylation on Hbeta catalyst

    Somnath Nandi;Yogesh Badhe;Jayaram Lonari;U. Sridevi

  • Driving systems with chaotic signals.

    Parkash Badola;S. S. Tambe;B. D. Kulkarni

Frequent Co-Authors

Jyeshtharaj B. Joshi
Jyeshtharaj B. Joshi Institute of Chemical Technology
Valakunja Nagaraja
Valakunja Nagaraja Indian Institute of Science
Iftekhar A. Karimi
Iftekhar A. Karimi National University of Singapore
Xiao Cheng Zeng
Xiao Cheng Zeng City University of Hong Kong
Mahendra Pal Sharma
Mahendra Pal Sharma Indian Institute of Technology Roorkee
Detlef Stolten
Detlef Stolten RWTH Aachen University
Ashutosh Sharma
Ashutosh Sharma Indian Institute of Technology Kanpur
Vivek V. Ranade
Vivek V. Ranade University of Limerick
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
Asim Bhaumik
Asim Bhaumik Indian Association for the Cultivation of Science

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