Sanjida Islam

Biographic Data

ID6930419
NAMESanjida Islam
GIVEN NAMESSanjida
FAMILY NAMEIslam
SIGNATUREISLAM S
AFFILIATIONSKhulna University of Engineering and Technology
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0

  • Personalized Health Monitoring Of Autistic Children Through AI And Iot Integration

    Open AccessMd Nayeem Hasan, Sanjida Islam et al.ARTICLEJournal of International Crisis…2024

    Autism spectrum disorder (ASD) has complex and variable traits that require ongoing and flexible monitoring. Traditional assessments of health, which are based upon observation by caregivers and periodic clinical visits, are not able to capture day-to-day variation in physiology and behavior. This paper proposes a personalized health monitoring system that combines the artificial intelligence (AI) and Internet of Things (IoT) devices to support a…

  • Operationalizing The Nist AI RMF For Smes — Top National Priority (AI Safety) And Perfect For Your Data/IT Toolkit; Produce A Lean Control Catalog, Audit Checklist, And Incident Drill For Real LLM Wor…

    Open AccessA H M Belayeth Hussain, Abdullah Hill Hussain et al.ARTICLEJournal of International Crisis…2024

    The widespread integration of large language models (LLMs) into small and medium enterprises (SMEs) is operating at both transformative and heightened risk. Unlike big companies, SMEs have fewer resources, often with less robust governance in place to ensure safe and trustworthy AI deployment. The U.S. National Institute of Standards and Technology (NIST) published the Artificial Intelligence Risk Management Framework (AI RMF), a national standar…

  • Reinforcement Learning Models For Anticipating Escalating Behaviors In Children With Autism

    Open AccessMd Moinul Islam, Md Maruful Islam et al.ARTICLEJournal of International Crisis…2024

    Autism Spectrum Disorder (ASD) is a challenging condition for which it is not possible to predict and manage behavioural escalations, including aggressiveness, self-injury or outbursts. Traditional observational approaches tend to be not scalable and responsive in real-time. This paper describes the use of reinforcement learning (RL) agents in predicting the escalating behaviors of children with autism, using wearable IoT sensors and data about t…

  • Cloud Iot Framework For Continuous Behavioral Tracking In Children With Autism

    Open AccessSanjida Islam, A H M Belayeth Hussain et al.ARTICLEJournal of International Crisis…2024

    Autism spectrum disorder (ASD) in children is characterized by a behavioral pattern that needs to be monitored and taken care of on time. Traditional assessment methods which rely on the child's caregiver reporting, or the rare clinical observation are not providing the full picture of daily behaviors and may postpone proactive management. This paper presents IoT (Internet of Things) framework developed on a Cloud platform for constant behavioral…

  • Progressive Formalisation of Household Solid Waste Source-Segregation in Khulna City, Bangladesh

    Open AccessSWARNA BINTAY KADIR, Sanjida Islam et al.ARTICLEWorldwide Waste2024

    Integrating circular economy into solid waste management is challenging for the local government authorities in Bangladesh, though its necessity is well recognised. The absence of household waste segregation in overcrowded urban areas is an obstacle for achieving the Sustainable Development Goal of reduced waste generation by 2030. This research in Khulna city found that recyclable and reusable products are separated informally by grassroots peop…

  • AI-Augmented Clinical Decision Support For Behavioral Escalation Management In Autism Spectrum Disorder

    Open AccessMd Mehedi Hassan, Md Masud Hasan et al.ARTICLEJournal of International Crisis…2023

    Children and adults with Autism Spectrum Disorder (ASD) are frequently subject to behavioral escalation events that can overwhelm families and clinical teams. Traditional escalation management strategies involve clinician expertise and subjective observation, and may result in delayed or inconsistent responses. This research proposes an artificial intelligence (AI) augmented clinical decision support system (CDSS) in order to predict, detect, and…