Home > Academics > Academic Units > Faculty of Engineering and Architecture (FoE&A) > Artificial Intelligence > Jiaul Hoque Paik
Associate Professor
Artificial Intelligence
Artificial Intelligence
I try to get my hands dirty on Machine Learning (a fancy name for statistics + computer programming), Natural Language Processing, Big Data Processing, and ML guided Artificial Intelligence.
My research objective is to develop mathematical and computational models for data that are simple, stands on comprehensible theoretical foundation and withstand the test of rigorous experimental evaluation. I put considerable effort behind any research work that I do to fulfil the above three criteria.
I enjoy writing non-trivial and efficient computer program for large data. In fact, thinking about efficient data structures, algorithms and their implementation on real data using a white box programming language is an intrinsic part of my thought process.
TCS ION Industry Honor Certification Product: Big Data Analytics Advanced Tata Consultancy Services
Identification of reusable economic indicators using enhanced satellite imagery and multi modal multi tasking deep learning method KCSTC
House, Road and Well-being- A Quasi-experimental Analysis of PMGSY and PMAY(G) on Household and Community Level Wellbeing INDIAN COUNCIL OF SOCIAL SCIENCE RESEARCH
Debjani Mazumder
Area of Research: Educational Data Mining
Dhananjay Kumar Vijay Singh Antarvaso Devi
Area of Research: Text and Network Mining
Namita Bajpai
Area of Research: Artificial Intelligence
Dipannita Podder
Area of Research: Search Engines
Atif Hassan
Area of Research: Machine learning and Deep learning with applications
Sudip Kumar Bhattacharya
Area of Research: Complex system simulation
Soumyadipta Banerjee
Area of Research: Deep Learning
Sayantan Saha
Area of Research: Machine Learning
Dipojjwal Ghosh
Area of Research: marketing analytics
Trishita Mukherjee
Area of Research: Graph Machine Learning
Nazeer Haider
Area of Research: Machine Learning
