Waleed Salehi
Shoolini University, Rana University
Research areas: Medicine · Psychiatry and Mental health · Artificial Intelligence in Healthcare · Dementia and Cognitive Impairment Research · Brain Tumor Detection and Classification
About
My Name is Waleed Salehi, I am from Kabul, Afghanistan. Currently I am living in India. Received the BCS Degree in Computer Science (Information Technology) from Rana University, Kabul, Afghanistan 2014-2018, and M.Tech CSE in Computer Science from Shoolini University, Himachal Pradesh, India 2018-2020, respectively. In the same university I am currently doing job as an Assistant Professor in Yogananda School of AI and Completed my Ph.D. Degree in Computer Science in the field of Artificial Intelligence, Machine Learning in Healthcare. My current research interests include Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Data Analysis, Medical Imaging.
Employment
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Shoolini University Assistant Professor2020 - Present
Education
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Shoolini University Ph. D in Computer Science2020 - Present
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Shoolini University M.Tech in Computer Science2018 - 2020
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Rana University Bachelor of Computer Science2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Dovetailing the human resource management with the cloud computing in the era of industry 4.0: A review Save
- An Alzheimer’s disease classification model using transfer learning Densenet with embedded healthcare decision support system Save
- An Approach to Binary Classification of Alzheimer’s Disease Using LSTM Save
- A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope Save
- Techniques Based on Metaheuristics Combined with an Adaptive Neurofuzzy System and Seismic Sensors for the Prediction of Earthquakes Save
- A Blockchain Framework to Secure Personal Health Record (PHR) in IBM Cloud-Based Data Lake Save
- IoT‐Based Wearable Devices for Patients Suffering from Alzheimer Disease Save
- A Review on Leaf-Based Plant Disease Detection Systems Using Machine Learning Save
- COVID-19: Automated Detection and Monitoring of Patients Worldwide Using Machine Learning Save
- A prospective and comparative study of machine and deep learning techniques for smart healthcare applications Save
- An Estimation of Machine Learning Approaches for Intrusion Detection System Save
- Classification of Arrhythmia Using Machine Learning Techniques Save
- The medical aspects of EMI effect on patients implanted with pacemakers Save
- A CNN Model: Earlier Diagnosis and Classification of Alzheimer Disease using MRI Save
- Multiple Machine Learning Models for Detection of Alzheimer’s Disease Using OASIS Dataset Save
- Review on machine and deep learning models for the detection and prediction of Coronavirus Save