Manob Jyoti Saikia

Assistant Professor (Tenure Track)

University of North Florida

United States

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Manob Jyoti Saikia is an Assistant Professor (Tenure Track) at the University of North Florida, USA. His research areas encompass geotechnical engineering, artificial intelligence applications in healthcare, and enhanced predictive modeling techniques for various industries. Recent publications highlight his work on topics such as stock market forecasting, cancer detection using AI, and innovative tools for personalized learning interventions.

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Collaborators (3)

Amy L. Salisbury

UNITED STATES

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Vignesh Ravichandran

Doctoral Researcher, Wearable Biosensing Lab & Teaching Assistant

University of Rhode Island

UNITED STATES

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Melissa Marcotte

Associate Professor

Rhode Island College

UNITED STATES

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Manob Jyoti Saikia

Research Interests

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Articles (30)

Geotechnical Performance of Lateritic Soil Subgrades Stabilized with Agro-Industrial Waste: An Experimental Assessment and ANN-Based Predictive Modelling

SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting

Breast Cancer Classification via a High-Precision Hybrid IGWO–SOA Optimized Deep Learning Framework

Towards Reliable Fake News Detection: Enhanced Attention-Based Transformer Model

Medical LLMs: Fine-Tuning vs. Retrieval-Augmented Generation

Large Language Models in Healthcare and Medical Applications: A Review

Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection

A Technology-Driven Assistive Learning Tool and Framework for Personalized Dyscalculia Interventions

Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis

IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM

Early Alzheimer’s Disease Detection: A Review of Machine Learning Techniques for Forecasting Transition from Mild Cognitive Impairment

Deep Learning to Authenticate Traditional Handloom Textile

BS-GeoEduNet 1.0: Blockchain-Assisted Serverless Framework for Geospatial Educational Information Networks

Importance of health history analysis in Parkinson's disease

Smartphone Contact Imaging and 1-D CNN for Leaf Chlorophyll Estimation in Agriculture

Digital Twins for Healthcare Using Wearables

Deep Neural Network-Based Smart Grid Stability Analysis: Enhancing Grid Resilience and Performance

Development of Non-Invasive Biosensors for Neonatal Jaundice Detection: A Review

Online Video-Mediated Compassion Training Program for Mental Health and Well-Being of University Students

Smart Textile Impact Sensor for e-Helmet to Measure Head Injury

EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation

K-Means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals With Unique Brain Activation, Task, and Performance Dynamics Using fNIRS

Smart Fabric and E-textile Sensor Technology for Wearables to Measure High Pressure

Relationship of compassion for self and others to sense of well-being of college students

Optical Properties of Tissue in Near-Infrared Region for NIRS-Based Medical Imaging

An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation

A modified surface EMG biomarker for gait assessment in spastic cerebral palsy

A modified surface EMG biomarker for gait assessment in spastic cerebral palsy

An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation

Melanoma in the blink of an eye: Pathologists’ rapid detection, classification, and localization of skin abnormalities

Collaborators (3)

Amy L. Salisbury

Vignesh Ravichandran

Melissa Marcotte

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