Rakibul Hasan

Outcomes in Patients With Peripheral Arterial Disease With and Without Prior Minor Amputation: A Comparative Analysis

Rakibul Hasan, Nur A Al Amin, M Rejwane Mahmud, Sourav Bhowmick et autres

Background: Peripheral arterial disease (PAD) is a major global health concern, as critical limb-threatening ischemia leads to higher rates of amputation and mortality. The prognostic impact of prior minor amputation (PMA) is unclear. This study compares major amputation and all-cause mortality rates …

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The Unbearable Darkness Of Being (In The Job Market): Privacy and Reliability of LLM-based Candidate Evaluation

Junichi Koizumi, Lakshya Dhingra, Rakibul Hasan

Large language models (LLM) are increasingly being used at every step of a hiring process, including resume parsing and candidate rating. This automation relies on LLMs’ ability to judge both the relevant qualifications and the “personality” of the candidates; the latter in …

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Text-Based Mental Health Detection Using Stacking Ensemble Approach with Hybrid Machine Learning and Deep Learning Models

Md. Raihan Hossain, Lamia Syed, Shekh Tanjil Sharif, Ashikur Rahman Asif et autres

The growing prevalence of mental health disorders demands reliable and scalable automated detection systems. This work introduces a hybrid ensemble framework that combines context-aware transformers (RoBERTa) with BiLSTM-based sequential learning and an XGBoost metaclassifier for robust mental health classification. Experiments conducted on …

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What's Privacy Good for? Measuring Privacy as a Shield from Harms due to AI Inference of Personal Data

Sri Harsha Gajavalli, Junichi Koizumi, Rakibul Hasan

We propose a harm-centric conceptualization of privacy and operationalize it in the context of using artificial intelligence (AI) in education and employment. In an online study (N=400), US college and university students reported their perceptions of 14 harms (e.g., manipulation) when AI …

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Bridging the Crisis Gap: A Scoping Review of Psychological Distress and Help-Seeking Behaviors in Black Americans Using Crisis Hotlines

Geremew Werkeshe Wana, Samir Kumar Sarker Rony, Rakibul Hasan, Ryan M. Combs

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Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri, Rakibul Hasan

Understanding how psychological traits shape attack strategies of cyber attackers is critical for developing proactive defenses.This paper presents an early-stage study using a controlled, multi-stage Capture-the-Flag (CTF) environment designed to elicit behavioral expressions of persistence, resilience, risk-taking, and openness to experience.Participants complete …

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Evaluating Resident Satisfaction in Public Housing: Evidence from Asrayan Project-II

Rakibul Hasan, Mahmuda Akter, Gazi Mohammed Mahbub, Goutom Das

The purpose of the study is to evaluate the resident’s satisfaction level in public housing project under Asrayan Project-II and identify the key socio-economic factors influencing their satisfaction. The study objectives were analyzed by using chi-square tests, relative importance index (RII) and …

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Face Recognition Approach Using ArcFace Embeddings and Traditional Machine Learning

Rakibul Hasan, M G F Hossain, Abidur Rahman, Md Rocky Dewan et autres

Facial recognition systems have evolved over the years, becoming more complex and powerful. Despite the increasing complexity of facial recognition models, we demonstrate that a streamlined approach can still achieve competitive performance. This paper presents a facial recognition pipeline that combines ArcFace-based …

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A SYSTEMATIC REVIEW OF HUMAN-AI COLLABORATION IN IT SUPPORT SERVICES: ENHANCING USER EXPERIENCE AND WORKFLOW AUTOMATION

Rakibul Hasan

This study addresses the problem that enterprise IT service desks increasingly embed AI assistants in support portals and ticket workflows, yet many organizations lack quantitative evidence on whether human oversight and automation quality jointly improve user experience and service performance. The purpose …

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Autogenous Great Saphenous Vein Graft Bypass versus Stenting in Cath Lab in treatment of Long Segment Superficial Femoral Artery Occlusion- Our Experience in Bangladesh

Mainul Mahmud, Muhammad E. H. Chowdhury, AK Al Miraj, Kamal Hossain et autres

Background: Long-segment superficial femoral artery (SFA) occlusion poses significant challenges in peripheral arterial disease management. While Autogenous great saphenous vein (GSV) bypass grafting remains the gold standard, endovascular stenting has emerged as a less invasive alternative. This study compares the outcomes of …

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A Machine Learning Classifier for Optimizing Materials and Energy Efficiency in Infrastructure

Samia Hasan Suha, Md Azharul Islam, Md. Kamruzzaman, Rabeya Khatoon et autres

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Persistent budget deficits and sustainable external debt: Long-term impact on economic growth in Bangladesh

Soeb Md. Shoayeb Noman, Mahfuja Akter, Rakibul Hasan

Debt sustainability is a critical concern in achieving long-term macroeconomic stability, particularly for developing economies like Bangladesh. This study examines the interrelationship between budget deficits, external debt, and economic growth, utilizing annual data from 1980 to 2021. Employing correlation analysis, multiple regression, …

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