activity
20192026
most citedAI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking

11 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale

Chandra Maddila, Mashrur Rashik, Euna Mehnaz Khan +4

AI coding agents are generating code at volumes that exceed the capacity of traditional peer review. At the same time, existing AI code review tools over-index on low-value suggest…

cs.HC2025★ 11 cited

AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking

Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal +6

Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While v…

cs.MA2021

An Artificial Bee Colony Based Algorithm for Continuous Distributed Constraint Optimization Problems

K. M. Merajul Arefin, Mashrur Rashik, Saaduddin Mahmud +1

Distributed Constraint Optimization Problems (DCOPs) are a frequently used framework in which a set of independent agents choose values from their respective discrete domains to ma…

cs.AI2020

Improving Solution Quality of Bounded Max-Sum Algorithm to Solve DCOPs involving Hard and Soft Constraints

Md. Musfiqur Rahman, Mashrur Rashik, Md. Mamun-or-Rashid +1

Bounded Max-Sum (BMS) is a message-passing algorithm that provides approximation solution to a specific form of de-centralized coordination problems, namely Distributed Constrained…

cs.MA2019

Speeding Up Distributed Pseudo-tree Optimization Procedure with Cross Edge Consistency to Solve DCOPs

Mashrur Rashik, Md. Musfiqur Rahman, Md. Mamun-or-Rashid +1

Distributed Pseudo-tree Optimization Procedure (DPOP) is a well-known message passing algorithm that has been used to provide optimal solutions of Distributed Constraint Optimizati…