2 publications

• Published Subscription Original Research 30 Sep 2026

  Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems

  By Aqusa Fatima, Almas, Shahab Saquib Sohail

  Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article →

• Published Subscription Review Article 30 Sep 2026

  Artificial Intelligence based Sustainable Decision Intelligence for Climate Action

  By Almas, Aqusa Fatima, Shahab Saquib Sohail

  Abstract: This paper proposes a Sustainable Decision Intelligence (SDI) framework to address the limitations of traditional climate policy through AI-driven analytics. By reviewing literature from 2020–2026, the study examines the impact of Artificial Intelligence (AI) on climate forecasting, energy optimization, and biodiversity monitoring, categorizing these tools into predictive, optimization, and policy intelligence layers. While acknowledging critical hurdles like data bias and computational energy costs, the research argues that integrating AI into …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article →