Neha Bharill

Dr. Neha Bharill is an Assistant Professor in the Department of Computer Science and Engineering at Mahindra École Centrale College of Engineering. She earned the Doctorate degree in Fuzzy Based learning Algorithms for Big Data Classification from Indian Institute of Technology Indore in Department of Computer Science and Engineering.

She is passionate to work in the area of machine learning, bioinformatics and proposed many hybrid approaches using fuzzy clustering, neural network, and quantum computing etc. I have made substantial contributions to the field of machine learning with 24+ 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. 
 

• Education
  • 2013-2017: Ph.D., Computer Science and Engineering from Indian Institute of Technology Indore, M.P., India.
    Thesis Topic: Investigations in Fuzzy based Learning Algorithms with Application to Big Data Classification.
  • 2009-2011: M.E., Computer Engineering from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore.
  • 2009: Cleared GATE Examination with 87.28 Percentile.
  • 2004-2008: B.E., Information Technology from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal.
• Research

  Research Interests:

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

  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.

  Session Chair and Invited Speaker:

  • 2014: Poster presentation session chair of IEEE World Congress on Computational Intelligence (WCCI), Beijing, China.
  • 2018: Local arrangement chair in IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2018, Bengaluru, India.
  • 2018: Special Session Chair of "Computational Intelligence in Scalable Machine Learning Techniques for Genomics Data" in IEEE Symposium on Computational Intelligence in Internet of Everything at IEEE-SSCI, Bengaluru, India.
  • 2019: Special Session chair of "Soft Computing: Internet of Everything" in IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), Bari, Italy.
  • 2019: Special Session chair of "Evolutionary Algorithms and Applications" in 9th International Conference on Soft Computing for Problem Solving 2019 (SocPros 2019), Liverpool Hope University UK.
  • 2019: Speaker in 3rd National Workshop on Computational Intelligence (NWCI-2019) held at Jaypee Institute of Information Technology, Noida.
  • 2018: Speaker in Faculty Development Program on "Machine Learning: Techniques and Tools" held at JSS Academy of Technical Education, Bengaluru.
  • 2018: Speaker in Faculty Development Program on "Machine Learning workshop" held at Indian Institute of Information Technology Dharwad.

  International Conference Attended:

  • IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Bengaluru, India, 2018.
  • IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Cape Town, South Africa, 2015.
  • IEEE World Congress on Computational Intelligence (WCCI), Beijing, China, 2014.
  • Third Annual World Conference on Soft Computing (WCSC), San Antonio, Texas, USA, 2013.
  • International Conference on Soft Computing and Problem Solving (SocPros), IIT Roorkee, 2011.
  • International Conference on Recent Trends in Information Technology (ICRTIT), Anna University, Chennai, 2011.

  Reviewer

  Journals

  • IEEE Transactions of Fuzzy Sets and Systems.
  • IEEE Transactions of Big Data.
  • IEEE Transactions on Cybernetics.
  • IEEE Transactions on Emerging Topics in Computational Intelligence.
  • IEEE Access.
  • IEEE ACM Transactions on Multimedia Computing, Communications and Application (TOMM).
  • IEEE Transactions on Cyber-Physical Systems.
  • Journal of Swarm and Evolutionary Computation, Elsevier.
  • Complex and Intelligent Systems, Springer.

  Conferences

  • 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).
  • International Conference on Machine Intelligence and Signal Processing held at IIT Indore 2018.
• Awards

  2015:

  AGENCY: International Travel Grant from SERB, Department of Science and Technology (DST), Govt. of India.
  Event: IEEE Symposium Series on Computational Intelligence (SSCI), 2015.
  Title: An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering.
  Venue: Cape Town South Africa.
  Reference No: ITS/4852/2015-16.
  Amount Sanctioned: 1.6 Lakhs.

  2014:

  AGENCY: Council of Scientific Research (CSIR), Govt. of India.
  Event: IEEE World Congress on Computational Intelligence (WCCI), 2014.
  Title: Enhanced Cluster Validity Index for the Evaluation of Optimal Number of Clusters for Fuzzy c-Means Algorithm.
  Venue: Beijing, China.
  Dates: July 6-11, 2014
  Reference No: TG/8460/13-HRD (CSIR)
  Amount Sanctioned: 65000 INR.

  AGENCY: M.P. Council of Science and Technology (MPCST), Govt. of India.
  Event: IEEE World Congress on Computational Intelligence (WCCI), 2014.
  Title: Enhanced Cluster Validity Index for the Evaluation of Optimal Number of Clusters for Fuzzy c-Means Algorithm.
  Venue: Beijing, China.
  Dates: July 6-11, 2014
  Reference No: /CST/ R&D (ITG)/2014 (MPCST)
  Amount Sanctioned: 50000 INR.

  2009: Awarded by a cash prize for being a Branch topper of 1st year of Engineering.

• Publications

  International Journal Publications:

  • O.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.
  • N. 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.
  • N. 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.
  • N. 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.
  • A.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.
  • N. 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.
  • O. 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.
  • N. 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.
  • N. 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.
  • O.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.

  International Conference Publications:

  • S. Thapa, D.K. Jain, P. Singh, N. Bharill, A. Gupta, M. Prasad, “Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer Disease”, Proc. of 2020 IEEE World Congress on Computational Intelligence, IEEE, Glasgow Scotland, 19-24 July, 2020 (Accepted).
  • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, N Nagendra, M. Mounika, “Fuzzy Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark” 9th International Conference on Soft Computing for Problem Solving – SocPros 2019, Liverpool Hope University, Liverpool, UK, 2-4 September, 2019. (In-Press)
  • B. 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.
  • D. 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.
  • K. 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.
  • J. 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.
  • N. 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.
  • N. 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.
  • O.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.
  • N. Bharill and 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.
  • N. Bharill and 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.
  • N. Bharill and 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.
  • S. 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.
  • N. 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.
  • N. 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.
  • N. 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

  • 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.
  • N. Bharill and 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.
  • N. Bharill and 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.
  • N. 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.
• Experience
  • January 2019 – July 2019: Assistant Professor (Senior Grade) at Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida.
  • December 2017 – January 2019: Assistant Professor at Department of Computer Science and Engineering, Indian Institute of Information Technology, Dharwad.
  • July 2017- December 2017: Visiting Faculty at Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani-Hyderabad.
  • September 2011 - December 2012: Assistant Professor at Department of Computer Science and Engineering, Medicaps University, Indore.
  • August 2008 – July 2009: Lecturer at Bansal Institute of Science and Technology Bhopal.