I am an academician and researcher with over 12 years of experience in academia and research, specializing in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Healthcare Informatics, and Emerging Technologies. My academic journey has been defined by leading curriculum development, launching innovative AI programs, and implementing modern pedagogical approaches to prepare students for future industry needs.

As a researcher, I have made significant contributions to AI-driven healthcare diagnostics, multimodal medical imaging, geospatial analytics, digital twins, and intelligent systems. I am a reviewer for reputed journals including Elsevier and Springer Nature and serve as an editorial board member for emerging research outlets.

My core research areas span Machine Learning and Deep Learning, Medical Image Processing (including tools like FreeSurfer and FSL, AI in Healthcare Diagnostics, Geospatial Intelligence and Smart Systems, Transfer Learning and Ensemble Learning Architectures, as well as Multimodal Analytics and Digital Twins. I have applied this expertise extensively in translational research, including several BIRAC-supported projects focused on AI-enabled innovation in healthcare diagnostics. Key contributions include the development of AI frameworks for early Alzheimer’s disease detection using multimodal MRI and PET data, the design of hybrid deep learning models for improving accuracy and scalability in diabetic retinopathy screening, and the creation of AI-powered diagnostic solutions optimized for affordability and deployment in low-resource, rural healthcare settings—bridging critical gaps in accessibility and quality of care through cutting-edge, data-driven technology.

I have also actively contributed to BIRAC-funded translational research projects, focusing on applying AI to solve healthcare challenges in resource-constrained settings, exemplifying my commitment to research that directly benefits society.

Publication Record

• Review on Classification of Amyotrophic Lateral Sclerosis Using Ensemble Classifiers
  Engineering Proceedings 82(1), 114 (SJR Q3; 0.205)
• HybridFusionNet: Deep Learning for Multi-Stage Diabetic Retinopathy Detection
  Technologies 12(12), 256 (SJR Q1; 0.88)
• Digital Twins in Industry: Real-World Applications and Innovations
  Transforming Industry Using Digital Twin Technology, 1–18
• Ensemble Deep Learning for DR Identification: DenseNet121 & VGG19 Architectures
  Int. Conf. Innovative Engineering Sciences
• Deep Learning-Based Multiclass Classification of DR with MobileNet
  Int. Conf. Emerging Trends in Expert Applications
• Analyzing Subcortical Structures in Alzheimer’s Disease Using Ensemble Learning
  Biomedical Signal Processing and Control 87, 105407 (SJR Q1; 1.229)
• Path Reader and Intelligent Lane Navigator for Autonomous Vehicles
  Paladyn, Journal of Behavioral Robotics 14(1) (SJR Q3; 0.483)
• Yoga Practitioners vs Non-practitioners in Neurodegenerative Diseases
  Data Analysis for Neurodegenerative Disorders, 67–91
• Geo-based Recommendation System Using Geo-tagging and K-means
  Spatial Information Research 31(3), 253–263 (SJR Q2; 0.465)
• Alz-ConvNets: Alzheimer’s Classification Using Transfer Learning
  SN Computer Science 4(4), 404 (SJR Q2; 0.565)
• Alzheimer’s Detection from Fused PET and MRI Using Ensembles
  Machine Learning and Knowledge Extraction 5(2), 512–538 (SJR Q1; 1.437)
• Artificial Intelligence Approach for Signature Detection
  Convergence of Cloud with AI for Big Data Analytics
• Review on Alzheimer Disease Detection Methods
  Sci 5(1), 13 (SJR Q1; 0.515)
• Broad Analysis of DL Techniques for DR Screening
  ICSCA 2023, 1–5
• Structural Biomarker-Based Alzheimer Detection
  Int. J. Imaging Systems and Technology (SJR Q2; 0.561)
• Learners’ Acceptability of Different Teaching Methodologies
  Int. J. e-Collaboration 19(1) (SJR Q4; 0.164)
• Movie Synchronization Using Web Socket Protocol
  Int. Conf. Intelligent Systems and ML (SJR Q4; 0.158)
• GAN and IEC Approach for Image Generation
  Int. Symp. Multidisciplinary Studies and Innovative Tech
• Automated Pipeline Preprocessing for Alzheimer’s Disease
  Int. Conf. Reliability, Infocom Technologies
• Artificial Intelligence in Healthcare Systems
  Nitya Publications
• ML and DL in Arthritis, Lung, and Skin Disease Evaluation
  Turkish J. Physiotherapy and Rehabilitation 32
• Geospatial Analysis for Natural Disaster Estimation
  GeoJournal, 1–17 (SJR Q2; 0.639)
• A Comprehensive Analysis of CAD Software in Cardiovascular Disease
  Drugs and Cell Therapies in Hematology 10(1)
• Criminal Combat: Crime Analysis & Prediction Using ML
  Int. Conf. Intelligent Technologies (CONIT)
• Recommendation System for Tumor Prediction in Cells Using ML
  Int. Conf. Recent Developments in Science, Engineering