activity
20202026
most citedIntegrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'

6 citations · 10 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2026

AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Model

Yagizhan Bilal Durak, Ahsan Ul Islam, Shahidul Islam +3

Agricultural pest management increasingly relies on timely and accurate access to expert knowledge, yet high quality labeled data and continuous expert support remain limited, part…

cs.LG2024★ 1 cited

A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network

Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui +2

Predicting the emergence of multiple chronic conditions (MCC) is crucial for early intervention and personalized healthcare, as MCC significantly impacts patient outcomes and healt…

cs.CY2024★ 6 cited

Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'

Syed Hasib Akhter Faruqui, Nazia Tasnim, Iftekhar Ibne Basith +2

Learning never ends, and there is no age limit to grow yourself. However, the educational landscape may face challenges in effectively catering to students' inclusion and diverse l…

cs.LG2024

Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin

Syed Hasib Akhter Faruqui, Adel Alaeddini, Yan Du +3

Background: Type 2 diabetes (T2D) is a prevalent chronic disease with a significant risk of serious health complications and negative impacts on the quality of life. Given the impa…

cs.HC2023

Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial

Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez +6

Diagnostic errors in radiology often occur due to incomplete visual assessments by radiologists, despite their knowledge of predicting disease classes. This insufficiency is possib…

cs.CV2023

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study

Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui +7

Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists employ personalized and high-dimensional visual search strategies,…