A stochastic procedural modelling tool developed as part of my master thesis.

Models for Biochemical and Biophysical Research Communications manuscript

Extraction​ ​ of​ ​ method​ ​ phrases​ ​ that​ ​ contain​ ​ an​ ​ explicit​ ​ mention​ ​ of​ ​ method​ ​ keyword.Linguistic​ ​ techniques​ ​ as​ ​ well​ ​ as​ ​ Statistical​ ​ methods​ ​ are​ ​ expected​ ​ to​ ​ be​ ​ used. Reference:​​ https://www.aclweb.org/anthology/C12-1074

NLP Project - Topic and Focus Identification using Centering Theory

Outline of a Rule Based Anaphora Resolution System for Bengali

S.T.A.R.S: Simulating Traffic Agents in Realistic Scenarios (MRSD Capstone Project at CMU)

There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) Computed Tomography (CT). Currently, the major bottleneck for developing multi-disease classifiers is a lack of m…

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn detection algorithm for Verizon, AT&T and T-Mobile.

BioNetGen biochemical network simulation program via BioSimulators-compliant command-line interface and Docker container

Intelligent Gamification framework

Rule-based modeling for whole-cell models.

In this section i will talk about Calculation of Lead Generation with Rule Based Classification

CLIPS programs I have completed for Expert Systems (Rule-Based AI)

Python scripts to analyze and visualize the data presented in the research article: "The maximum solubility product marks the threshold for condensation of multivalent biomolecules".

A Python package to analyze multivalent biomolecular clusters.

deep prototype learning for EHR data

Rule based and market basket based recommendation system for retail data.

This Java-based project aims to predict the probability of a heart attack based on user input, including factors such as sleep duration and monthly consumption of fatty foods.

A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models (ACM Computing Surveys)