neha-bharill

Neha Bharill

Associate Professor
neha.bharill@mahindrauniversity.edu.in

Dr. Neha Bharill is an Associate Professor in the Department of Computer Science and Engineering at Mahindra University École Centrale School of Engineering. She earned the Doctor of Philosophy in Fuzzy Based learning Algorithms for Big Data Classification from Department of Computer Science and Engineering, Indian Institute of Technology Indore (IIT Indore), India

Prior to joining MU, she worked as an Assistant Professor in BITS Pilani Hyderabad, IIIT Dharwad, Jaypee Institute of Information Technology Noida. She is passionate to work in the area of machine learning, Big Data, applications of bioinformatics etc. She has made substantial contributions to the field of machine learning with 30+ research articles in top journals including IEEE Transactions and SCI/SCEI Journals and in top-class conferences like FUZZ-IEEE, WCCI, ICONIP, IJCNN, etc.

She is the reviewer of many International Journal like IEEE Transactions of Fuzzy Sets and Systems, IEEE Transactions of Big Data, IEEE Transactions on Cybernetics, etc. She also served as the reviewer of many top-class conferences like IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), IEEE Symposium Series on Computational Intelligence (IEEE SSCI). IEEE Congress on Evolutionary Computation (IEEE CEC), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), etc.

2013-2018

  • January 2013 – January 2018: Doctor of Philosophy, Indian Institute of Technology Indore, India (IIT Indore)
    Dissertation Title: Investigations in Fuzzy based Learning Algorithms with Application to Big Data Classification.

2009-2011

  • July 2009 to Dec 2011: Master of Engineering, Shri Govindram Seksaria Institute of Technology and Science, Indore, India (SGSITS, Indore).

2004-2008

  • July 2004 to May 2008: Bachelor of Technology, Department of Information Technology, from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal.

Present

  • Present She is an Associate Professor in the Department of Computer Science and Engineering at Mahindra University École Centrale School of Engineering.

2019

  • Jaypee Institute of Information Technology: January 2019 – August 2019, Assistant Professor (Senior Grade) at Department of Computer Science and Engineering.

2017 -2019

  • Indian Institute of Information Technology Dharwad:December 2017 – January 2019, Assistant Professor at Department of Computer Science and Engineering.

2017

  • Birla Institute of Technology and Science, Pilani-Hyderabad: July 2017- December 2017, Visiting Faculty atDepartment of Computer Science and Information Systems.

2011-2012

  • Medicaps University Indore: September 2011 – December 2012, Assistant Professor at Department of Computer Science and Engineering.

2008-2009

  • Bansal Institute of Science and Technology Bhopal: August 2008 – July 2009 Lecturer at Department of Information Technology.

International Journal Publications:

2023

  • R. Dwivedi, A. Tiwari, N. Bharill et al., “A Novel Clustering-Based Hybrid Feature Selection Approach Using Ant Colony Optimization,” Arabian Journal of Science and Engineering, Springer, March 2023, https://doi.org/10.1007/s13369-023-07719-7. (Impact factor: 2.9, SCIE Index)
  • P. Jha., A. Tiwari, N. Bharill, N., Ratnaparkhe, M., Patel, O. P., Harshith, N., ... & Nagendra, N, “Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis,” International Journal of Data Science and Analytics, Springer, vol. 15, pp. 359-378, 2023 (Impact factor: 2.4, Scopus Index)

    • 2021

    • Jha, A. Tiwari, N. Bharill, "Scalable incremental fuzzy consensus clustering algorithm for handling big data", Soft computing, springer, Vol. 25, pp. 8703–8719, 2021, doi: https://doi.org/10.1007/s00500-021-05733-1[SCIE Index, Impact Factor 3.643]
    • Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, M. Mounika and N. Nagendra, “Apache Spark Based Kernelized Fuzzy Clustering Framework for Single Nucleotide Polymorphism Sequence Analysis”, Computational Biology and Chemistry Elsevier, vol. 92, pp. 107454 -107466, 2021[SCI Index, Impact Factor: 2.877]

    2020

    • Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, M. Mounika and N. Nagendra, "A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data," in IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-12, 2020, doi: 10.1109/TETCI.2020.3016302 [SCIE Index]

    2019

    • P. Patel, N. Bharill, A. Tiwari, M. Prasad, "A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification", IEEE Transactions on Emerging Topics in Computing, DOI: 10.1109/TETC.2019.2901272, ISSN: 2168-6750, pp. 1-14, 2019 [SCI Index, Impact Factor: 7.691]
    • Bharill, A. Tiwari, A. Malviya, O. P. Patel, A. Gupta, D. Puthal, A. Saxena, and M. Prasad, "Fuzzy Knowledge Based Performance Analysis on Big Data", Neurocomputing Elsevier, DOI: 10.1016/j.neucom.2018.10.088, 2019 [SCI Index, Impact Factor: 5.719]
    • P. Patel, N. Bharill, A. Tiwari, V. Patel, O. Gupta, J. Cao, J. Li, M. Prasad, “Advanced Quantum Based Neural Network Classifier and its Application for Objectionable Web Content Filtering”, IEEE Access, vol. 7, pp. 98069-98082, 2019 [SCI Index, Impact Factor: 3.367]

    2018

    • Bharill, O. P. Patel, A. Tiwari, D. L. Li, M. Mohanthy, O. P. Kaiwartya, M. Prasad, "A Generalized Enhanced Quantum Fuzzy Approach For Efficient Data Clustering", IEEE Access, DOI: 10.1109/ACCESS.2019.2891956, 2018[SCI Index, Impact Factor: 3.367]
    • Bharill, A. Tiwari, A Malviya, M. Ratnaparkhe, "Protein Superfamily Classification Usinf a Novel Three Stage Feature Extraction Approach" International Journal of Computational Intelligence and Applications, World Scientific, 2018.

    2017

    • Saxena, M. Prasad, A. Gupta, N. Bharill, O.P. Patel, A. Tiwari, M. Joo, W. Ding, C. T.Lin, "A Review of Clustering Techniques and Developments", Neurocomputing, Elsevier, vol. 267, pp. 664-681, 2017 [SCI Index, Impact Factor: 5.719]
    • Bharill, O.P. Patel, A. Tiwari, "Quantum-Inspired Evolutionary Approach for Selection of Optimal Parameters of Fuzzy Clustering", International Journal of System Assurance Engineering and Management, Springer, DOI: 10.1007/s13198-017-0681-x, vol. 9, issue 4, pp. 875-887, 2017.
    • P Patel, A. Tiwari, R. Chaudhary, S.V. Nuthalapati, N. Bharill, M. Prasad, F.K. Hussain, and O.K. Hussain, "Enhanced Quantum-based Neural Network Learning and its Application to Signature Verification", Soft Computing, Springer, DOI: 10.1007/s00500-017-2954-3, pp. 1-14, 2017 [SCIE Index, Impact Factor: 3.643]

    2016

    • Bharill, A. Tiwari, and A. Malviya, "Fuzzy Based Scalable Clustering Algorithms for Handling Big data using Apache Spark", IEEE Transactions on Big Data, vol. 2, no. 4, DOI: 10.1109/TBDATA.2016.2622288, ISSN: 2332-7790, pp. 339-352, 2016 [SCIE Index, Impact Factor: 3.344]

    2015

    • Bharill, A. Tiwari, A. Rawat, "A Novel Technique of Feature Extraction with Dual Similarity Measures for Protein Sequence Classification", Procedia computer Science, Elsevier, vol. 48, pp. 795-801, 2015.

    International Conference Publications:

    2023

  • P. Jha, A. Tiwari, N. Bharill, O.P Patel et al, “Machine Learning Algorithm for Soybean Leaf Disease Detection,” International Conference on Vegetable Oils-2023 (ICVO 2023), January 17-21, Hyderabad (In press).

    • 2022

    • Jha, A. Tiwari, N. Bharill,M. Ratnaparkhe, O. P. Patel, N. Harshith and S. Lahari Solasa, "A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm", 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, 2022 (Accepted). 
    • P. Mogre, P. Gadge, N. Totala, A. Tiwari, N. Bharill and M. Ratnaparkhe, “Design and Development of a Mobile App for Disease & Insect Identification in Soybean Plants CropDoctor,” 3rd International Conference on Rural Technology Development and Delivery (RTDD): RuTAG, pp. 34, March 4-6, 2022.
    • S. Siddhartha, O. P. Patel, N. Bharill, “Advanced Quantum Inspired Evolutionary Algorithm for Multivariate Optimization”, The 24th IEEE/ACIS-Sponsored International Conference on Software Engineering, Artifical Intelligence, Networking, and Parallel/Distributed Computing (SNDP2022), December 7-9, 2022, Taichung, Taiwan (Accepted, Rank C)
    • R. Dwivedi, A. Tiwari, N. Bharill, and M. Ratnaparkhe, “A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization” The 29th International Conference on Neural Information Processing (ICONIP 2022), November 22-26, 2022, pp. 659-670, India (Rank-A).
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, S. Saloni, and N. Sreeharsh, “HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data”, The 29th International Conference on Neural Information Processing (ICONIP 2022), November 22-26, 2022, pp. 205-215, India (Rank-A).
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O. P. Patel, A. Chauhan, N. Sreeharsh, R. Pulakitha, S. Saloni, "Scalable Feature Extraction and Fuzzy Clustering for Large RNAseq Analysis on High-Performance Computing", IEEE Symposium Series On Computational Intelligence 2022, December 4-7, Singapore (Accepted, Rank-B)
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O. P. Patel, R. Pulakitha, A. Chauhan, "High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data", IEEE Symposium Series On Computational Intelligence 2022, December 4-7, Singapore, pp. 1400-1407, doi: 10.1109/SSCI51031.2022.10022194 (Rank-B).
    • S. Siddhartha, O.P. Patel, N. Bharill, "Advanced Quantum Inspired Evolutionary Optimization Algorithm", 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2022 pp. 57-64, doi: 10.1109/ICETCI55171.2022.9921362.
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, V. Anand, S. Arya, T. Singh, “HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data”, 19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology 15-17 August, pp. 1-8, 2022, Ottawa, ON, Canada (Rank-B)
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, N. Harshith and S. Lahari Solasa, "A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm", 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, pp. 56-59, 2022 (Rank-B)

    2021

    • Choudhary, P. Jha, A. Tiwari, N. Bharilland M. Ratnaparkhe, "Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark," 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, pp. 1-6, doi: 10.1109/FUZZ45933.2021.9494447 (Ranked A Conference)
    • Choudhary, P. Jha, A. Tiwari, N. Bharill, “A Brief Survey on Concept Drifted Data Stream Regression”, Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1393. Springer, Singapore. https://doi.org/10.1007/978-981-16-2712-5_57, 2021.

    2020

    • Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, N Nagendra, M. Mounika, “Fuzzy Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark”, In: Nigdeli S.M., Kim J.H., Bekdaş G., Yadav A. (eds) Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications. ICHSA 2020. Advances in Intelligent Systems and Computing, vol 1275, pp. 423-435, Springer, Singapore, 2020. 
    • Thapa, P. Singh, D. K. Jain, N. Bharill, A. Gupta and M. Prasad, "Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer’s Disease," 2020 International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207359 (Ranked A Conference)

    2018

    • Behra, G. Gupta, R. Yadav, N. Bharill, “Automated Street Lighting System using IoT”, International Conference on Industrial Internet of Things on Smart Manufacturing (IoTsm), Imperial College, London, UK, 5-6 September, 2018, pp. 1-5.
    • Badarinath, C. Siddu, H. N. Suma, A. Appaji, A. Vinekar. N. Bharill, M. Prasad, “Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening”, in Proc. of 2018 IEEE World Congress on Computational Intelligence, IEEE, Rio de Janeiro Brazil, 8-13 July, 2018, pp. 1-6 (Ranked A Conference).
    • Bharilland A. Tiwari, “Handling Big Data with Fuzzy Based Classification Approach”, in Proc. of 3rd Annual World Conference on Soft Computing, San Antonio, Texas, 16-18 December, 2013 pp. 219-227. 12. N. Mehra, A. Tiwari, M. B. Ratnaparkhe, and N. Bharill, "A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction", 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, 18-21 November, 2018, pp.1953-1957 (Ranked C Conference).
    • Rajora, D. L. Li, C. Jha, N. Bharill, O. P. Patel, S. Joshi, D. Puthal and M. Prasad,"A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance", 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, 18-21 November, 2018, pp. 1958-1963 (Ranked C Conference).

    2017

    • P. Chou, M. Prasad, D.L. Li, N. Bharill, Y. F. Lin, F. Hussain, C. T. Lin, and W. C. Lin, “Automatic Multi-view Action Recognition with Robust Features”, in Proc. of 2017 IEEE International Conference on Neural Information Processing (ICONIP), Guangzhou, China, Springer, Cham, 14-18 October, 2017, pp. 554-563 (Ranked A Conference).
    • Singh, M. Prasad, Y.A. Daraghmi, P. Tiwari, P. Yadav, N. Bharill, M. Pratama, and A. Saxena “Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion,” in Proc. of 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Hawaii, USA, 27 Nov. – 1 Dec., 2017, pp. 1-7 (Ranked C Conference)
    • Bharill, O. P. Patel, A. Tiwari, and M. Mantri, "On Construction of Multi-class Binary Neural Network Using Fuzzy Inter-cluster Overlap for Face Recognition", in Proc. of 2017 Machine Intelligence and Signal Analysis, 22-24 December, IIT Indore, 2018, pp. 657-670.

    2016

    • Bharill, A. Tiwari, and A. Malviya, “Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark," in Proc. of 2016 Second IEEE International Conference on Big Data Computing Service and Applications, IEEE BigDataService, IEEE, Exeter College, Oxford, UK, 29 March - 1 April, 2016, pp. 95-104.

    2015

  • Bharill, O.P. Patel, and A. Tiwari, “An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering," in Proc. of 2015 IEEE Symposium Series on Computational Intelligence, IEEE, Cape Town, South Africa, 7-10 December, 2015, pp. 772 – 779 (Ranked C Conference).
  • P. Patel, N. Bharill, and A. Tiwari, “A Quantum-Inspired Fuzzy Based Evolutionary Algorithm for Data Clustering," in Proc. of 2015 IEEE International Conference on Fuzzy Systems, IEEE, Istanbul, Turkey, 2-5 August, 2015, pp. 1 – 8 (Ranked A Conference).
  • Bharilland A. Tiwari, “A Novel Technique of Feature Extraction based on Local and Global Similarity Measure for Protein Sequence Classification”, in Proc. of the International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS, (BIOSTEC 2015), Libson, Portugal, 12-15 January, 2015, pp. 219-224.

    • 2014

    • Bharilland A. Tiwari, “Enhanced Cluster Validity Index for the Evaluation of Optimal Number of Clusters for Fuzzy c - Means Algorithm," in Proc. of 2014 IEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence, IEEE, Beijing, China, 6-11 July, 2014, pp. 1526 – 1533 (Ranked A Conference).

    2011

    • Bharill, A. Tiwari, “Multi-class Classification using an Improved Multi-objective Simultaneous Learning Framework” in Proc. of International Conference on Soft Computing for Problem Solving (SocPros 2011), 20-22 December, IIT Roorkee, 2011, pp. 821-831.
    • Bharill, A. Tiwari, “An Improved Multi-objective Simultaneous Learning framework for Designing a Classifier”, IEEE-International Conference on Recent Trends in Information Technology, ICRTITMIT, Anna University Chennai, June 3-5, 2011, pp. 737-742.

    Book Chapters

    2020

  • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, N Nagendra, M. Mounika, “Fuzzy Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark”, In: Nigdeli S.M., Kim J.H., Bekdaş G., Yadav A. (eds) Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications. ICHSA 2020. Advances in Intelligent Systems and Computing, vol 1275, pp. 423-435, Springer, Singapore, 2020.

    • 2019

    • Bharill, Om Prakash Patel, Aruna Tiwari, Megha Mantri, On Construction of Multi-class Binary Neural Network using Fuzzy Inter-cluster Overlap for Face Recognition, ebook: Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, Tanveer M., Pachori R. (eds), Springer, Singapore, ISBN- 978-981-13-0923-6, DOI: 10.1007/978-981-13-0923-6_56, vol 748, pp 657-670, 2019.
    • N. Bharill, Om Prakash Patel, Aruna Tiwari, Megha Mantri, On Construction of Multi-class Binary Neural Network using Fuzzy Inter-cluster Overlap for Face Recognition, ebook: Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, Tanveer M., Pachori R. (eds), Springer, Singapore, ISBN- 978-981-13-0923-6, DOI: 10.1007/978-981-13-0923-6_56, vol 748, pp 657-670, 2019.

    2015

    • Bharilland Aruna Tiwari, "A Novel Technique of Feature Extraction based on Local and Global Similarity Measure for Protein Sequence Classification", e-book: Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS, (BIOSTEC 2015), Scitepress Digital Library, DOI 10.5220/0005283702190224, ISBN 978-989-758-070-3, vol. 1, pp. 219-224, 2015.

    2014

    • Bharilland Aruna Tiwari, "Handling Big Data with Fuzzy Based Classification Approach", e-book: Studies in Fuzziness and Soft Computing, In Advance Trends in Soft Computing, Springer International Publishing Switzerland, DOI 10.1007/978-3-319- 03674-8-21, ISBN- 978-3-319-03673-1, vol. 312, pp. 219-227, 2014.

    2012

    • Bharill, Aruna Tiwari, "Multi-class Classification using an Improved Multiobjective Simultaneous Learning Framework", e-book: Advances in Intelligent and Soft Computing, Springer New Delhi, vol 131, DOI: 10.1007/978-81-322-0491-6, pp 821-831, 2012.

    Research Interests:

    Major Focus: Machine Learning, Big Data, Genome Sequencing.

    Funded Research Projects and Grants:

    • Title: Design of a Novel Machine Learning Algorithms using High-Performance Computing for Next Generation Sequence Analysis of Soybean Genomes
      Funding Approved: 1.5 lakhs
      Role: PI
      Funding Agency: Mahindra University, Ecole Centrale College of Engineering, Hyderabad
      Duration:  2 Years (2019 – 2021)
      Status: Completed
    • Title: A Novel Integrated Scalable System for Protein Sequence and SNP Data Analysis using Clustering and Classification.Funding Approved: 16.17 Lakhs
      Role: Co-PI
      Funding Agency: Council of Scientific and Industrial Research (CSIR), Govt. of India.
      Duration: 3 Years
      Status: Project Approved dated 21 Dec 2020
    • Title: A Novel Scalable High-Performance Machine Learning Algorithms for NGS Analysis of Genomics Data at Exascale Level
      Funds Approved: 35.55 lakhs
      Role: Co-PI
      Funding Agency: National Supercomputing Mission, HPC Applications Development Funded Research Project by DST in collaboration with the Ministry of Electronics and Information Technology (Meity)
      Duration: 2 Years
      Status: Project Sanctioned dated 23 March 2021, Completed

     

    Ph.D. Supervision

    • Student Name: Ms. Preeti Jha
      Ph.D. thesis title: Design of scalable fuzzy clustering algorithms and its application to   huge genomics data.
      Status: Awarded with VPP Menon Gold Medal, 23 December 2021
      Parent Institute: Indian Institute of Technology Indore
      Role: External Supervisor / Co-supervisor
    • Student Name: Mr. Rajesh Dwivedi
      Ph.D. thesis title: Investigation in Scalable Evolutionary approach for    clustering and classification of single nucleotide polymorphisms (SNPs) for Drought Resistance Gene Discovery.
      Status: Ongoing, 23 March 2021
      Parent Institute: Indian Institute of Technology Indore
      Role: External Supervisor / Co-supervisor

    Awards

        • International Travel Award of 1.6 Lakhs by SERB, Department of Science and Technology (DST), Govt. of Indiafor attending and presenting paper in “IEEE Symposium Series on Computational Intelligence (SSCI)” 2015, Reference no: ITS/4852/2015-16.
        • International Travel Award of 50 thousand by Council of Scientific Research (CSIR), Govt, of Indiafor attending and presenting paper in “IEEE World Congress on Computational Intelligence (WCCI) 2014, Reference no: TG/8460/13-HRD (CSIR).
        • International Travel Award of 50 thousand by P. Council of Science and Technology (MPCST)for attending and presenting paper in “IEEE World Congress on Computational Intelligence (WCCI) 2014, Reference no: /CST/ R&D (ITG)/2014 (MPCST).
        • International Travel Award of Rs. 47760 by SERB, Department of Science and Technology (DST), Govt. of India for attending and presenting paper in “IEEE Symposium Series on Computational Intelligence (SSCI)” 2022, Reference no: ITS/2022/002735
        • Received best oral presentation award for the paper title “Machine Learning Algorithm for Soybean Leaf Disease Detection” in International Conference on Vegetable oils 2023 (ICVO 2023) organized by Indian Council of Agricultural Research New Delhi, Indian Society of oil seeds Research Hyderabad and ICAR-Indian Institute of oil seeds Research Hyderabad, January 17- 21, 2023, Hyderabad
        • Received CIS travel grant for presenting two research papers in 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) held in Singapore, from December 4th to December 7th, 2022. Grant Received: Amount $600
        • Received CIS travel grant for IEEE SSCI 2018.

    Organized Workshop/Conference Special Session/ Summer School:

        • Workshop on “High Performance Computing in the Agriculture Domain” under the National Supercomputing Mission (NSM) from Supercomputer Education and Research Center (SERC) Jointly conducted by Mahindra University, IIT Indore, ICAR-IISR Indore in collaboration with C-DAC Pune, IISC Bangalore, IIT Kharagpur from 14thJuly to 16th July, 2021
        • Special session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE World Congress on Computational Intelligence (WCCI 2020), PADUA, ITALY from 18thJuly to 23th July, 2022
        • Special session on “Hybrid Machine Learning Algorithms and Applications” in International Conference on Emerging Techniques in Computational Intelligence, Mahindra University, Hyderabad from 25-27 Aug, 2021.
        • Special Session on “Scalable Incremental Fuzzy Learning Techniques for Big Data and Genome Sequence Analysis” at IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), Luxembourg, Europe from 11thJuly to 14th July, 2021
        • Special Session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE Congress on Evolutionary Computation (IEEE CEC 2021), Krakow, Poland from 28thJune to 1st July, 2021
        • Special Session on “Advance Scalable Machine Learning Techniques for NGS Analysis of Big Data” at International Joint Conference on Neural Networks (IJCNN 2020) under IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020
        • Special Session on “Artificial Intelligence Technologies in Internet of Things (IOT)” at IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020
        • Special Session on “Soft Computing: Internet of Everything” at IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), Bari, Italy from 6thOct to 9th Oct, 2019
        • Special Session on “Evolutionary Algorithms and Applications” at 9thInternational Conference on Soft Computing for Problem Solving 2019 (Socpros 2019), Liverpool Hope University, UK from 2nd Sept to 4th Sept 2019
        • Special Session on “Computational Intelligence in Scalable Machine Learning Techniques for Genomics Data” at IEEE Symposium on Computational Intelligence in Internet of Everything, IEEE-SSCI, Bengaluru, India from 18 Nov to 21 Nov, 2018
        • Two Week Summer School on “Intelligent Internet of Things” at Jaypee Institute of Information Technology (JIIT), Sector 128, Noida from 24thJune to 6th July, 2019.

    Session Chair/ Tutorial Chair/Local Arrangement chair in International Conference:

        • Chairing Machine Learning 2 session at 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, 2022.
        • I-P21-Reinforcement Learning and Adaptive Dynamic Programming at International Joint Conference on Neural Networks (IJCNN 2020) under IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020
        • Reinforcement Learning and Adaptive Dynamic Programming at International Joint Conference on Neural Networks (IJCNN 2020) under IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020.
        • Internet for Everything (CIIoET) at IEEE Symposium Series on Computational Intelligence (IEEE-SSCI) in, Bengaluru, India from 18thNov to 21th Nov 2018.
        • IEEE World Congress on Computational Intelligence (WCCI), Beijing, China from 06thJuly to 11th July 2014

    International Conference Attended:

        • International Conference on Machine Intelligence and Signal Processing (MISP 2017) organized by IIT Indore from 22ndDecember to 24th December 2017
        • 2018 IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Bengaluru, India, from 18thNov to 21th Nov 2018.
        • 2015 IEEE Symposium Series on Computational Intelligence held at Cape Town, South Africa from 8thDecember to 10th December 2015.
        • 2014 IEEE World Congress on Computational Intelligence (WCCI), Beijing, China from 06thJuly to 11th July 2014.
        • 2013 Third Annual World Conference on Soft Computing (WCSC 2013) held at Marriott Riverwalk San Antonio, Texas, USA from 16thDecember to 18th December 2013.
        • International Conference on Soft Computing for Problem Solving (SocPros 2011) organized by IIT Roorkee from 20thDecember to 22nd December 2011.
        • International Conference on Recent Trends in Information Technology organized by Department of Information Technology MIT Campus, Anna University, Chennai from 03rdJune to 5th June, 2011.

    Invited Lectures/ Keynote Speaker

        • Expert lecture on “Scalable Fuzzy Clustering and its Application to Genomics” at Workshop High Performance Computing in the Agriculture Domainunder the National Supercomputing Mission (NSM) from Supercomputer Education and Research Center (SERC) jointly conducted by Mahindra University, IIT Indore, ICAR-IISR Indore in collaboration with C-DAC Pune, IISC Bangalore, IIT Kharagpur during 14th July to 16th July, 2021 in virtual mode.
        • Expert lecture on “Big Data Analytics” in TEQIP-III Sponsored Short-Term Course (STC) on “Recent Trends in Machine Learning and Soft Computing” organized by Indian Institute of Technology Indoreduring December 18-20, 2020.
        • Expert lecture on “Introduction to Data Science, Data Preprocessing, Overview of Python for Data Science”in A One Week Short Term Training Programme on Predictive Analytics using Artificial Intelligence (STTP-PAUAI) on December 15, 2020 at NRI Institute of Technology, Agiripalli, Krishna, Dt., A.P.
        • Expert lecture on “Data Mining Concepts, Big Data Analytics and Applications”in A One Week Short Term Training Programme on Predictive Analytics using Artificial Intelligence (STTP-PAUAI) on December 14, 2020 at NRI Institute of Technology, Agiripalli, Krishna, Dt., A.P.
        • Expert lecture on “Data Mining Concepts, Big Data Analytics and Applications”in A One Week Short Term Training Programme on Predictive Analytics using Artificial Intelligence (STTP-PAUAI) on November 02, 2020 at NRI Institute of Technology, Agiripalli, Krishna, Dt., A.P.
        • Expert lecture on “A Multi Objective Optimization using Evolutionary Learning for Fuzzy Based Clustering and Classification”at Third National Workshop on Computational Intelligence (NWCI-2019) during April 26-27, 2019 at Jaypee Institute of Information Technology, Sector-128, Noida.
        • Expert lecture on “Scalable Fuzzy Clustering technique for Big Data Classification with an Application to Genome Classification”at Five Days Faculty Development Programme on Machine Learning: Techniques and Tools on December 17, 2018 at JSS Academy of Technical Education, Bengaluru.
        • Expert lecture on “Fuzzy Clustering Techniques and its Application”at Faculty Development Program on Machine Learning Workshop during July 26-27, 2018 at Indian Institute of Information Technology Dharwad.

    Professional Services:

      • Editorial Board Member: Biomed Communication Journal WHIOCE publishing PTE. LTD. 2018.
      • Editorial Board Member: ESN- International Journal of Engineering and Technology (IJET), 2019, Member ID: ESNJA11.