Jiaul Hoque Paik Associate Professor Centre of Excellence in Artificial Intelligence IIT Kharagpur Postdoctoral Research Associate (Computer Science): University of Maryaland, College Park, USA Ph.D (Computer Science): ISI Kolkata Office Address Takshashila Building Indian Institute of Technology, Kharagpur West Bengal, India, Pin - 721302 Phone: +91 3222 282116. Email: jia.paik@gmail.com

"The test of all knowledge is experiment. Experiment is the sole judge of scientific truth." -- Richard Feynman.

"In mathematics you do not understand things, you just get used to them." -- John Von Neumann.

Buffon said unreservedly, "Genius is simply patience carried to the extreme." To those who asked how he achieved fame,
he replied: "By spending forty years of my life bent over my writing desk.” -- Advice for a Young Investigator By Santiago Cajal

Academic Interests | Publications | Projects | Teaching | Students

I try to work on Machine Learning, Natural Language Processing, Big Data Processing, and ML driven Artificial Intelligence. My research objective is to develop mathematical and computational models on data that stand on comprehensible theoretical foundation and validated by rigorous experimental evaluation.

Computer Programming is another area which is close to my heart. I immensely enjoy efficient data structures and algorithm design. In fact, my interest in this area is so intense, I wanted to do my PhD thesis on algorithms (though, for several reasons, that did not materialize). However, my voluntary digression did not deter me from keeping my love intact for this beautiful area of computer science.

Teaching is equally enjoyable to me. Broadly, I love to teach the subjects on Machine Learning/Deep Learning, Mathematical Foundations for ML/Data Science, Computer Programming, Data Structure and Algorithm Design.

• Debjani Mazumder, Jiaul H. Paik, Anupam Basu,
  A Graph Neural Network Model for Concept Prerequisite Relation Extraction ,
  ACM CIKM, 2023


• Dipannita Podder, Jiaul H. Paik, Pabitra Mitra
  Neural Language Model-based Attentive Term Dependence Model for Verbose Query
  AAAI, 2023


• D. K. Singh, P K Bhowmick, Jiaul H. Paik
  Researcher Influence Prediction (ResIP) using Academic Genealogy Network
  Journal of Informetrics, 2023


• Sudeshna Das, Jiaul H. Paik
  Gender Tagging of Named Entities using Retrieval-assisted Multi-context Aggregation: An Unsupervised Approach
  Journal of American Society for Information Science and Technology, 2023


• Jiaul H. Paik, Sahil Rishi, Yash Agrawal, Vaishal Shah
  Truncated Models for Probabilistic Weighted Retrieval
  ACM Transactions on Information Systems, 2022


• Sudeshna Das, Jiaul H. Paik
  Resilience of Named Entity Recognition Models Under Adversarial Attack
  ACL Workshop on Dynamic Adversarial Data Collection, 2022


• Sudeshna Das, Jiaul H. Paik
  Context-sensitive Gender Inference of Named Entities in Text
  Information Processing and Management, 2021


• Nasreen S., Roy A. K., Joshi P. , Singh N. , Guha R. , Jiaul H. Paik
  Assessment of Complexity Level in Decision Making: An Eye-Tracking Study
  IEEE Conference of Engineering in Medicine & Biology, 2019


• Jiaul H. Paik
  Parameterized Decay Model for Information Retrieval
  ACM Transactions on Intelligent Systems and Technology, 2016


• Jiaul H. Paik, Jimmy Lin
  Retrievability in API-Based "Evaluation as a Service"
  ACM SIGIR Theories on Information Retrieval, 2016


• Ronan Cummins, Jiaul H. Paik, Yuanhua Lv
  A Polya Urn Document Language Model for Improved Information Retrieval
  ACM Transactions on Information Systems (TOIS), 2015


• Jiaul H. Paik
  A Probabilistic Model for Information Retrieval Based on Maximum Value Distribution
  ACM SIGIR, 2015


• Jerome White, Doug Oard, Aren Jansen, Jiaul H. Paik, Rashmi Sankepally
  Using Zero-Resource Spoken Term Discovery for Ranked Retrieval
  NAACL, 2015


• Jyothi Vinjumur, Doug Oard, Jiaul H. Paik
  Assessing the Reliability and Reusability of an E-discovery Privilege Test Collection
  ACM SIGIR, 2014


• Jiaul H. Paik, Doug Oard
  A Fixed-Point Method for Weighting Terms in Verbose Informational Queries
  ACM CIKM, 2014


• Jiaul H. Paik, Dipasree Pal, Swapan Parui
  Incremental blind feedback: An Effective Approach to Automatic Query Expansion
  ACM Transactions on Asian Language Information Processing (TALIP), 2014


• Jiaul H. Paik
  A Novel TF-IDF Weighting Scheme for Effective Ranking
  ACM SIGIR 2013


• Jiaul H. Paik, Swapan K. Parui, Dipasree Pal, Stephen E. Robertson
  Effective and Robust Query Biased Stemming,
  ACM Transactions on Information Systems (TOIS), 2013


• Jiaul H. Paik, Mandar Mitra, Swapan K. Parui, Kalervo Jarvelin
  GRAS : An Effective and Efficient Stemming Algorithm for Information Retrieval
  ACM Transactions on Information Systems (TOIS), 2011


• Jiaul H. Paik, Dipasree Pal, Swapan K. Parui
  A Novel Corpus-Based Stemming Algorithm using Co-occurrence Statistics
  ACM SIGIR, 2011


• Jiaul H. Paik, Swapan K. Parui : A Fast Corpus Based Stemmer
  ACM Transactions on Asian Language Information Processing (TALIP), 2011

Principal Investigator


• AI for Digital Transformation (Consultancy): Wadhwani Institte of Technology and Policy


• Behavior Modeling in Multi-sensor Environments - Integrating Environment Sensing, Human Sensing & Social Sensing for Rich Insights -- Smart Classroom: Tata Consultancy Services


• TCS ION Industry Honor Certification Product -- Big Data Analytics Advanced: Tata Consultancy Services


• Efficient Selective Search Architecture for Large Data: ISIRD, IIT Kharagpur


• Integrated Information System and Knowledge Discovery Platform for ONGC: Oil and Natural Gas Corporation of India


Co-Principal Investigator


• Structural Utility of Migrant Labor Network: Analyzing COVID Disrupted Labor Market Network in the Informal Sector: CISCO, California


• Identification of reusable economic indicators using enhanced satellite imagery and multi modal multi tasking deep learning method: Indian Space Research Organization (ISRO)


• Automated Evaluation and Feedback Generation for Personalized Learning: National Mission on Education through Communication & Information Technology


• Development of a Suite of Indigenous Assistive Systems and Tools for the Disabled Community in India: Department of Atomic Energy and Ministry of Education


• Enhancing User Experience in Digital Library with Metadata Knowledge Graph: IBM India

• Information Retrieval Systems (sole instructor): University of Maryland, College Park (Spring 2014)


• Machine Learning Foundations and Applications: IIT Kharagpur (Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Autumn 2023)


• Deep Learning Foundations and Applications: IIT Kharagpur (Spring 2023)


• Linear Algebra for AI and ML: IIT Kharagpur (Autumn 2022, Autumn 2023)


• Big Data Processing: IIT Kharagpur (Spring 2022, Spring 2023)


• Large Scale Search Engines: IIT Kharagpur (Autumn 2018, Autumn 2019, Autumn 2020)


• Educational Data Analytics: IIT Kharagpur (Spring 2017, Spring 2018, Spring 2019, Spring 2020)


• Intelligent Game Design: IIT Kharagpur (Autumn 2016, Autumn 2017)


• Knowledge Modeling and Semantic Technologies: IIT Kharagpur (Autumn 2018)