Dr. Naveen Saini

About

Dr. Naveen Saini is currently working as an Assistant Professor in the Department of Information Technology, IIIT Allahabad. Prior to this, he was associated with Department of Computer Science at Indian Institute of Information Technology Lucknow as an Assistant Professor. He has also worked as a researcher at 4IR Applied Research Center and Assistant Professor at Endicott College of International Studies, Woosong University, South Korea. He did his post doctorate from IRIT (Institut De Recherche En Informatique De Toulouse) and earned his PhD from the Department of Computer Science and Engineering at Indian Institute of Technology Patna (IITP), India. His current research interests include Multimodal Natural Language Processing, Artificial Intelligence, Machine Learning, AI for Social Goods and Sustainability, Multi-objective Optimization, and Evolutionary Algorithms. His more details are available at https://sites.google.com/view/nsaini

Employment

• Indian Institute of Information Technology Allahabad Assistant Professor (Grade-I)
  2025 - Present
• Indian Institute of Information Technology Allahabad Assistant Professor (Grade-II)
  2024 - 2025
• Indian Institute of Information Technology Lucknow Assistant Professor (Grade-II)
  2022 - 2024
• Woosong University Assistant Professor
  2021 - 2022
• Paul Sabatier University Postdoctoral Fellow
  2020 - 2021
• Indian Institute of Technology Patna Teaching Assistant
  2016 - 2020
• Meerut Institute of Engineering and Technology Assistant Professor
  2014 - 2016

Education

• Indian Institute of Technology Patna Doctor of Philosophy (Ph.D)
  2016 - 2020
• J.C. Bose University of Science & Technology, YMCA M.Tech
  2012 - 2014
• Apeejay College of Engineering Bachelor of technology (B.Tech.)
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (43)

• ILrLSUMM+: A NER-infused Multi-objective Paradigm to Summarize News in Low-resource Indian Languages
  Knowledge-Based Systems 2026 DOI: 10.1016/j.knosys.2026.115510
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• Towards unified multi-view ensemble models for multi-label podcast genre prediction
  The Journal of Supercomputing 2026 DOI: 10.1007/s11227-026-08290-2
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• PULSE: A Multi-stage Artificial Intelligence Framework for Analyzing Vaccine Hesitancy on Twitter using Particle Swarm Optimization and Large Language Models
  Swarm and Evolutionary Computation 2026 DOI: 10.1016/j.swevo.2025.102218
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• MPLUM: A LLM-Assisted Multi-Objective Prompt Learning for High-Quality English-Urdu Summarization
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3666211
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• Machine Learning Models for the Design and Optimization of Stack-Structured Permanent Magnet Thrust Bearings
  IEEE Access 2026 DOI: 10.1109/access.2026.3675583
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• Leveraging semantic fusion and generative reasoning using large language models for context-aware and explainable sexism detection
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.114926
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• Unraveling COVID-19 Vaccine Hesitancy: A Multi-label Classification Approach Using Nested LSTM
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-981-96-6966-0_13
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• Multi-view Ensemble Clustering-Based Podcast Recommendation in Indian Regional Setting
  2025 DOI: 10.1007/978-3-031-78107-0_12
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• Incorporating Domain Knowledge in Multi-objective Optimization Framework for Automating Indian Legal Case Summarization
  2025 DOI: 10.1007/978-3-031-78495-8_17
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• Harmonizing Data: Multilingual, Multistep Deep Learning Approach for Classifying Audio Content into Songs, Podcasts (Talk), and Advertisement
  2025 DOI: 10.1007/978-981-96-6966-0_19
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