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Indian Institute of Information Technology, Lucknow
भारतीय सूचना प्रौद्योगिकी संस्थान, लखनऊ
(An Institute of National Importance by the Act of Parliament)

Dr. Naveen Saini

Lucknow, India

Dr. Naveen Saini

Assistant Professor

Education

  • PostDoc (Université Paul Sabatier Toulouse, Occitanie, France)
  • Ph.D (IIT Patna)
  • M.Tech. (Information Technology -J.C. Bose University of Science and Technology (Formely YMCA University), Haryana, India)

Research Interest

  • Clustering
  • Automatic Summarization
  • Information Retrieval
  • Machine Learning
  • Evolutionary algorithms
  • Multi-objective Optimization

Teaching Experience

  • Assistant Professor, April 2021 – March 2022 (1 Year).,  Technology Studies Department, Endicott College of International Studies, South Korea
  • Teaching Assistant, Jan 2016 – Jan 2020 (4 years) ,Department of CSE, Indian Institute of Technology, Patna, India
  • Assistant Professor, July 2014 – December 2015 (5 years), Department of CSE, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh

 

Publications

  • PostDoc (Université Paul Sabatier Toulouse, Occitanie, France)
  • Ph.D (IIT Patna)
  • M.Tech. (Information Technology -J.C. Bose University of Science and Technology (Formely YMCA University), Haryana, India)

https://scholar.google.co.in/citations?user=P-B30PgAAAAJ&hl=en

 

International Journal Articles

  1. Bansal, R. Grover, Saini, N., & Saha, S. (2021): GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling, IEEE Transactions on Affective Computing                 
    DOI:
    https://doi.org/10.1109/TAFFC.2021.3131516                                            (Impact Factor: 10.506)
  2. Saini, N.,, Saha, S., Bhattacharyya, P., Mrinal, S. & Mishra, S. (2021): On Multi-modal Microblog Summarization, IEEE Transactions On Computational Social Systems. DOI: https://doi.org/10.1109/TCSS.2021.3110819   
  1. Bansal, Saini, N., & Saha, S. (2021): DCBRTS: A Classification-Summarization Approach for Evolving Tweet Streams in Multiobjective Optimization Framework, IEEE Access.
    DOI: https://doi.org/10.1109/ACCESS.2021.3120112                                            (Impact Factor: 3.367)
  1. Saini, N., Saha, S.: Multi-objective Optimization Techniques: A Survey of the State-of-the-Art and Applications, European Physical Journal Special Topics.                                                                     
    DOI:  https://doi.org/10.1140/epjs/s11734-021-00206-w                                 (Impact Factor: 1.66)
  1. Mishra, S.,Saini, N., Saha, S., & Bhattacharyya, P. (2021). Scientific Document Summarization in Multi-objective Clustering Framework, Applied Intelligence, 1-24.                                                                     
    DOI: https://doi.org/10.1007/s10489-021-02376-5                                                   (Impact factor: 3.32)
  1. Saini, N., S., Saha, S., & Bhattacharyya, P. (2021) Microblog Summarization using Self-adaptive Multi-objective Binary Differential Evolution, Applied Intelligence, 1-17.         
    DOI: https://doi.org/10.1007/s10489-020-02178-1                                                    (Impact factor: 3.32)
  1. Saini, N., D. Bansal, S., Saha, S., & Bhattacharyya, P. (2021). Multi-objective Multi-view based Search Results Clustering using Differential Evolution Framework, Expert Systems with Applications 114299.   
    DOI: https://doi.org/10.1016/j.eswa.2020.114299                                                     (Impact factor: 5.45)
  2. Saini, N., Saha, S., Mansoori, S., & Bhattacharyya, P. (2020). Fusion of self-organizing map and granular self-organizing map for microblog summarization. Soft Computing 24(24), pp.18699-18711.
    DOI:  https://doi.org/10.1007/s00500-020-05104-2                                                  (Impact factor: 3.14)
  1. Saini, N., Saha, S., & Bhattacharyya, P. (2019). Automatic Scientific Document Clustering Using Self-organized Multi-objective Differential Evolution. Cognitive Computation, 11(2), 271-293.
    DOI:https://doi.org/10.1007/s12559-018-9611-8                                                         (Impact factor: 4.87)
  1. Saini, N., Saha, S., Jangra, A., & Bhattacharyya, P. (2019). Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm. Knowledge-Based Systems, 164, 45-67.                                                       
    DOI: https://doi.org/10.1016/j.knosys.2018.10.021                                                     (Impact factor: 5.10)
  1. Saini, N., Saha, S., Bhattacharyya, P., Tuteja, H. (August 2019). Textual Entailment based Figure Summarization for Biomedical Articles, ACM Transactions on Multimedia Computing Communications and Applications 16(1s), pp.1-24.
    DOI: https://doi.org/10.1145/3357334                                                                           (Impact Factor: 2.25)
  2. Saini, N.,, Saha, S., & Bhattacharyya, P. (2019) A Multi-objective Based Approach for Microblog Summarization, IEEE Transactions On Computational Social Systems, 6(6), 1219-1231. 
    DOI: https://doi.org/10.1109/TCSS.2019.2945172
  1. Saini, N., S., Saha, S., Chakraborty, D., & Bhattacharyya, P. (2019) Extractive single document summarization using binary differential evolution: Optimization of difference sentence quality measures, PLoS ONE 14(11): e0223477.
    DOI: https:// doi.org/10.1371/journal.pone.0223477                     (Impact factor: 2.76, h5 index: 176)
  1. Saini, N., S., Saha, S., Potnuru, V., Grover, R., & Bhattacharyya, P. (2019) Figure-Summarization: A Multi-objective optimization based approach, IEEE Intelligent Systems 34(6), pp.43-52.             
    DOI:
    https://doi.org/10.1109/MIS.2019.2954400                                                      (Impact factor: 4.64)
  1. Saini, N., Saha, S., Soni, C., Bhattacharyya, P. (September 2019). Automatic Evolution of Bi-clusters from Microarray Data using Self-Organized Multi-objective Evolutionary Algorithm, Applied Intelligence, 50, 1027-1044. 
    DOI:
    https://doi.org/10.1007/s10489-019-01554-w                                                  (Impact factor: 2.88)
  1. Saini, N., Saha, S., Harsh, A., & Bhattacharyya, P. (2019). Sophisticated SOM based genetic operators in multi-objective clustering framework. Applied Intelligence, 49(5), 1803-1822. 
    DOI:  https://doi.org/10.1007/s10489-018-1350-8                                                     (Impact factor: 2.88)
  1. Saini, N., Grover, R., S., Saha, S., & Bhattacharyya, P. (September 2019). Scientific Document Clustering using Granular Self-organizing Map. Australian Journal of Intelligent Information Processing Systems (a special issue of International Conference on Neural Information Processing (ICONIP 2019), 17(1), pp.62-70.     
    DOI:
    http://ajiips.com.au/papers/V17.1/v17n1_66-74.pdf

 

International Conference Proceeding:

  1. Roha V.S Saini, N., Saha, S., Moreno J.G., (2022). Unsupervised Comment-based Multi-document Extractive Summarization. In Genetic and Evolutionary Computation Conference (GECCO). (core rank A) (accepted)
  2. Shastri, A., Saini, N., Saha, S. and Mishra, S.K., 2021, October. MEABRS: A Multi-objective Evolutionary Framework for Software Bug Report Summarization. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2006-2011). IEEE.                             
    DOI: https://doi.org/10.1109/SMC52423.2021.9659165
  1. Mishra, S., Saini, N., Saha, S., & Bhattacharyya, P. (2021) Let’s Summarize Scientific Documents! A Clustering-based Approach via Citation Context. In 2021 International Conference on Natural Language & Information Systems (NLDB).
    DOI: https://doi.org/10.1007/978-3-030-80599-9_29
  2. Saini, N., Saha, S., Mansoori, S., & Bhattacharyya, P. (2020). Automatic Parameter Selection of Granular Self-organizing Map for Microblog Summarization. In International Conference on Neural Information Processing (ICONIP 2020) (pp. 672-682). Springer, Cham. 
    DOI:  https://doi.org/10.1007/978-3-030-63830-6_57
  1. Saini, N., Kumar, S., S., Saha, S., & Bhattacharyya, P. (2020). Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. In International Conference on Evolutionary Computation (CEC 2020) (pp. 1-8). IEEE.                                                                   
    DOI
    : https://doi.org/10.1109/CEC48606.2020.9185507
  1. Saini, N., Kumar, S., S., Saha, S., & Bhattacharyya, P. (2020). Scientific Document Summarization using Citation Context and Multi-objective Optimization. In International Conference on Pattern Recognition (ICPR 2020). (Core ranking: B, h5 index: 35).               
    DOI:
    https://doi.org/10.1109/ICPR48806.2021.9412201
  1. Saini, N., Chourasia, S., Saha, S., & Bhattacharyya, P. (2017). A self-organizing map based multi-objective framework for automatic evolution of clusters. In International Conference on Neural Information Processing (ICONIP 2017) (pp. 672-682). Springer, Cham.
    DOI:
    https://doi.org/10.1007/978-3-319-70136-3_71
  1. Saini, N., Saha, S., & Bhattacharyya, P. (2018). Cascaded SOM: An improved technique for automatic email classification. In 2018 International Joint Conference on Neural Networks (IJCNN 2018) (pp. 1-8). IEEE.
    DOI:
    https://doi.org/10.1109/IJCNN.2018.8489584
  1. Saini, N.,, Saha, S., Bhattacharyya, P. (September 2019). Incorporation of Neighborhood Concept in Enhancing SOM based  Multi-label Classification. In International Conference on Pattern Recognition and Machine Intelligence (PReMI 2019) (pp. 91-99). Springer.                                   
    DOI:
    https://doi.org/10.1007/978-3-030-34869-4_11
  1. Saini, N.,, Saha, S., Kumar, A., & Bhattacharyya, P. (September 2019). Multi-document Summarization using Adaptive Composite Differential Evolution. In International Conference on Neural Information Processing (ICONIP 2019). Springer.           
    DOI:
    https://doi.org/10.1007/978-3-030-36802-9_71

 

Workshop Proceedings:

 

  1. Reddy, S., Saini, N., Saha, S., & Bhattacharyya, P. (2020, November). IIITBH-IITP@ CL-SciSumm20, CL-LaySumm20, LongSumm20. In Proceedings of the First Workshop on Scholarly Document Processing (pp. 242-250).
    DOI:  https://doi.org/10.18653/v1/P17
  1. Mishra, S. K., Kundarapu, H., Saini, N., Saha, S., & Bhattacharyya, P. (2020, November). IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020. In Proceedings of the First Workshop on Scholarly Document Processing (pp. 270-276).
    DOI:  https://doi.org/10.18653/v1/P17
  1. Reddy, S.M. and Saini, N., 2021, May. Overview and insights from scope detection of the peer review articles shared tasks 2021. In Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 Workshops Proceedings 25 (pp. 73-78). Springer International Publishing.                     
    DOI: https://doi.org/10.1007/978-3-030-75015-2_7

 

ORGANIZER/CO-ORGANIZER of WORKSHOP/SPECIAL SESSION

INVITED TALKS/SEMINARS

  • Invited as a resource person to present a talk as part of Online Faculty Development Programme on Natural Language Processing at National Institute of Technology Patna, Bihar, India.
  • Presented a seminar on “Multi-objective optimization based Cross-language Summarization for less-represented languages” atInstitut de Recherche en Informatique de Toulouse (IRIT), France on 1st March, 2021.
  • Delivered an invited talk on “Summarization of Scientific and Microblog Text” at Amity Institute of Information Technology, Lucknow as a part of FDP on Artificial Intelligence” on 13th January, 2021.
  • Delivered a talk on “Learning to Summarize: Text Summarization” at Cochin University of Science & Technology as a part of AICTE Sponsored FDP on “Machine Learning & Deep Learning: A Hands-On Approach” on 14th December, 2020.
  • Invited to deliver to talk on “Text Summarization and hand on session” at Indian Institute of Technology Indore, India as part of NPIU/TEQIP-III Faculty Training on Future Skill Technologies on Artificial Intelligence and Machine Learning
  • Delivered talk on “Text Summarization” at KIIT University, Bhubaneswar, Odisha, India as part of ATAL FDP on “Artificial Intelligence in Natural Language Processing” on 18th October, 2020.

 

 

ACADEMIC ACTIVITIES

  • Served as reviewer for peer-reviewed journals
    • ACM Transaction on Asian and Low-Resource Language Information Processing (TALLIP) (IF: 1.04)
    • IEEE Transactions on Computational Social System (TCSS)
    • IEEE Transactions on Evolutionary Computation (IF: 11.554)
    • Springer Artificial Intelligence Review (IF: 8.139)
    • PLoS ONE (IF: 3.240)
    • Elsevier Knowledge-based Systems (IF: 5.101)
    • Elsevier Expert Systems with Applications (IF: 5.45)
    • Elsevier Knowledge and Information Systems (IF: 2.83)
    • MIT Press Evolutionary Computation (IF: 3.826)
    • Springer Multimedia Tools and Applications (IF: 2.313)
    • IEEE Internet Computing (IF: 4.23)

 

 

AWARD AND RECOGNITION

PROFESSIONAL MEMBERSHIPS

  • IEEE (ID: 94862731)
  • ACM (ID: 7191126)
  • APNNS (ID: 21030249)

 

PROJECTS

  • EMBEDDIA, European Govt. Project
  • Safety Control System for Elderly in Nursing Facility (Korean Govt. Project)
  • Digital Assistant for LG Products using SMS Corpus (LG Soft. Pvt. Ltd.)
  • Automatic Email Classfication (Elsevier)

 

Contact

Department of Information Technology,
Indian Institute of Information Technology,
Lucknow, India.
naveen@iiitl.ac.in

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