Section · Conferences & Journals

Complete Scholarly Publications Timeline

A Google Scholar–verified record of peer-reviewed journal articles and conference papers spanning Enterprise Resource Planning, applied AI, large language models, fraud detection, and cross-modal sensing. Descriptions are paraphrased summaries, not quotations.

20
Total works
13
Journal articles
6
Conference papers
13/20
Live public links

2021

1 work
  1. 01
    Journal

    Cross-Modal Extrinsic Calibration of LiDAR and RGB Cameras Using Compact Planar Targets and Joint Geometric Optimization

    Journal of Information Systems Engineering and Management (JISEM), 6(3) — Received Aug 1, 2021 · Accepted Sept 28, 2021

    Proposes a low-cost way to align LiDAR and camera sensors using small checkerboard-style targets instead of bulky calibration rigs, aimed at robotics and autonomous-vehicle applications.

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2024

3 works
  1. 02
    Journal

    A Multi-Agent System for Extracting and Querying Financial Documents

    IJNREFM, Vol 2, Issue 5, Sep–Oct 2024

    Describes a pipeline of cooperating AI agents that read financial filings (10-Ks, invoices, statements), pull out structured facts, and answer questions about them with traceable citations.

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  2. 03
    Journal

    The Impact of Artificial Intelligence on Accounting Practices

    IJNREFM, Vol 2, Issue 6, Nov–Dec 2024

    Surveys how AI/ML and generative AI are changing accounting workflows (AP/AR, close, tax, audit) and proposes a governance framework for using AI safely in financial controls.

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  3. 04
    Journal

    A Retrieval-Augmented Multi-Agent System for Financial Statement Analysis

    Journal of Computational Analysis and Applications (JoCAAA), 33(6), pp. 3032–3041 — published June 20, 2024

    Combines retrieval-augmented generation with multiple specialized AI agents to analyze corporate financial statements more accurately and transparently than a single LLM alone.

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2025

11 works
  1. 05
    Journal

    ERP Post-implementation Challenges and Solutions

    IJSRET, Vol 11, Issue 1, Jan–Feb 2025

    Reviews recurring problems companies face after go-live on ERP systems and summarizes best practices for change management, data quality, and vendor partnerships to resolve them.

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  2. 06
    Journal

    Critical Success Factors for ERP Implementation

    International Journal of Engineering & Scientific Research (IJESR), Vol 13, Issue 4, April 2025

    A literature review identifying the factors (change management, executive sponsorship, data governance, risk planning) most associated with successful ERP rollouts.

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  3. 07
    Journal

    Essential Strategic Factors for Ensuring a Successful ERP Implementation

    Scholars Journal of Engineering and Technology (SJET), Vol 13, Issue 3, pp. 163–167 — published March 19, 2025

    A closely related but distinct paper, going deeper into technical execution factors (system architecture, data migration, QA) alongside the organizational ones.

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  4. 08
    Journal

    Comparative Analysis of Generic and Specialized Natural Language Processing Models Using Prompt Engineering

    IJSRET, Vol 11, Issue 4, Jul–Aug 2025

    Tests whether prompting alone can let general-purpose models (GPT, BERT) match domain-specific models (BioBERT, FinBERT) in healthcare, finance, and legal tasks — finds specialized models still win on precision-critical work.

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  5. 09
    Journal

    Recurrent Neural Networks in Complex Finance Applications

    IJSRET, Vol 11, Issue 4, Jul–Aug 2025

    Surveys how RNNs/LSTMs/GRUs are used in trading, credit risk, fraud detection, and portfolio optimization, with case studies on their strengths and limitations.

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  6. 10
    Journal

    Evolution of a Neural Network in ERP Implementations

    IJSRET, Vol 11, Issue 4, Jul–Aug 2025

    Traces how neural networks have been progressively integrated into ERP systems, from early forecasting bolt-ons to today's AI-native platforms, with case studies on SAP, Oracle, and Microsoft Dynamics.

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  7. 11
    Journal

    Crowdsource Activity as Applications of Neural Networks

    IJSRET, Vol 11, Issue 4, Jul–Aug 2025

    Explores how neural networks improve crowdsourcing platforms — validating annotations, predicting worker reliability, and personalizing task assignment.

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  8. 12
    Journal

    Retrieval-Augmented Generation and Hallucination in Large Language Models: A Scholarly Overview

    SJET, Vol 13, Issue 5, pp. 328–330 — published May 19, 2025

    Explains why LLMs hallucinate and how retrieval-augmented generation (grounding responses in external documents) helps reduce the problem.

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  9. 13
    Conference

    “AI Cancers”: Systemic Limitations Threatening the Integrity of Artificial Intelligence

    IJSET · presented at ICSEMT 2025, Sept 29–30, 2025

    Uses a “cancer” metaphor to categorize systemic AI flaws (bias, hallucination, goal misalignment, data poisoning, lack of explainability) and surveys emerging detection/containment strategies.

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  10. 14
    JournalAwaiting publication & indexing

    Artificial Intelligence in ERP Inventory Management: Transforming Supply Chain Agility and Efficiency

    IJSET-associated

    Case-study-driven paper on how AI improves demand forecasting and stock optimization in ERP inventory modules, using Zara, Amazon, and healthcare examples.

  11. 15
    Working PaperAwaiting publication & indexing

    Cross-Modal Learning Between LiDAR and RGB for Smart Fleet Systems

    Working paper · dated Nov 2025

    Surveys LiDAR–camera sensor fusion methods (PointPainting, BEVFusion, TransFusion) and proposes a fleet-specific deployment framework robust to sensor dropouts.

2026

5 works
  1. 16
    ConferenceAwaiting publication & indexing

    Soft Computing Models for Fraudulent Transactions Prediction Using Multi-Objective Optimization

    IEEE conference paper, Jan 2026 · co-authored

    Combines deep learning (dual-attention UNet) with multi-objective optimization to detect fraudulent e-commerce transactions with high accuracy.

  2. 17
    ConferenceAwaiting publication & indexing

    Optimal Deep Belief Network for Online Banking Fraud Detection on Digital Financial Services

    IEEE conference paper, Jan 2026 · co-authored

    Proposes a refined UNet + deep belief network pipeline for detecting online banking fraud, tested on public fraud datasets.

  3. 18
    ConferenceAwaiting publication & indexing

    Cross-Modal Extrinsic Calibration of LiDAR and RGB Cameras (re-presented)

    FET'26, University of Bahrain, April 22–23, 2026 (online)

    Re-presentation of the 2021 JISEM paper (item 1) at an international engineering & technology forum.

  4. 19
    Conference🏆 Best Research Paper AwardAwaiting publication & indexing

    Fail-safe Autonomy: Detecting and Preventing Silent Failures in Clinical Agentic AI

    IEEE TIC 2026, Kuala Lumpur, June 5–6, 2026 · co-authored

    Proposes an autonomous AI workflow to catch “silent failures” in clinical decision-support systems before they cause patient harm, validated on real clinical notes.

  5. 20
    ConferenceAwaiting publication & indexing

    High-Performance Fraud Detection Using Tree-Based Ensembles with SMOTE: An Optimized RF-XGBoost Framework

    IEEE TIC 2026 conference paper · co-authored

    Uses Random Forest and XGBoost with SMOTE oversampling to detect credit card fraud in highly imbalanced datasets, reporting near-perfect accuracy.