Syed Ahmad Chan Bukhari

Assistant Professor

St. John's University

United States

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About

Syed Ahmad Chan Bukhari is an Assistant Professor at St. John's University, USA. His research focuses on machine learning and deep learning applications in biomedical fields, including skin lesion analysis, brain tumor classification, and cardiovascular disease detection. He has published extensively on enhancing semantic annotations and predictive modeling in health informatics.

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (42)

Gita Sukthankar

Professor

University of Central Florida

UNITED STATES

Syed Ahmad Chan Bukhari

Research Interests

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About

Articles (12)

Correction: Zafar et al. Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey. Life 2023, 13, 146

Introduction to the Special Issue on DNA-centric Modeling and Practice for Next-generation Computing and Communication Systems

Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans

Correction to: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach

Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey

Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling

Detection of Cardiovascular Disease Based on PPG Signals Using Machine Learning with Cloud Computing

Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score

Neuromechanical Signal-Based Parallel and Scalable Model for Lower Limb Movement Recognition

LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine

A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

Collaborators (42)

Gita Sukthankar

Sheikh Rabiul Islam

Soon Ae Chun

Sylvain Chartier

Francesco Santini

Marco Wilhelm

Daehan Kwak

Silja Renooij

Deborah L. McGuinness

Pascal Lorenz

Juan-Manuel Torres-Moreno

Qusay H. Mahmoud

Pierre-Henri Wuillemin

Pascal Bercher

Clayton Peterson

Maikel Leon Espinosa

Xiao Luo

Ralph Bergmann

Manfred Huber

Aonghus Lawlor

Adriana Giret

Noorbakhsh Amiri Golilarz

Kristýna Pantůčková

Fahmida Hamid

Zag ElSayed

Dmytro Vitel

Neil Hurley

Noboru Murata

Stefano Bistarelli

Md Kamruzzaman Sarker

Yevgeniy Vorobeychik

Peter Brusilovsky

Moritz Roidl

Malek Mouhoub

Marc Legeay

Timothy C. Papadopoulos

Fazel Keshtkar

Massimiliano Filosto

Muhammad Abu Bakar Siddique

Lubomir Ivanov

Jeremy Blackburn

Murat Kantarcioglu

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