Syed Ahmad Chan Bukhari

Syed Ahmad Chan BukhariSyed Ahmad Chan Bukhari is as an Assistant Professor and Director of Healthcare Informatics at St. John's University, New York. He received his Ph.D. in Computer Science from the University of New Brunswick, Canada and then went on to complete his postdoctoral fellowship at Yale School of Medicine where he worked with Stanford University- Center of Expanded Data Annotation and Retrieval (CEDAR) to develop FAIR (Findable, Accessible, Interoperable and Reusable) data submission pipelines to improve scientific experimental reproducibility. His current research efforts are concentrated on addressing several core problems in the area of healthcare informatics and data science. More htttp://ahmadchan.com.

Publications

Harnessing the Power of Artificial Intelligence and Machine Learning in the Islamic Capital Market: A Comprehensive Analysis
Harnessing the Power of Artificial Intelligence and Machine Learning in the Islamic Capital Market: A Comprehensive Analysis
Tripti Pal, Mohammad Irfan, Syed Ahmad Chan Bukhari, Salina Bt. Kassim. © 2024. 10 pages.
This chapter explores the transformative impact of artificial intelligence (AI) and machine learning (ML) technologies on the Islamic Capital Market (ICM). As the global...
Issues of Sustainability in AI and New-Age Thematic Investing
Issues of Sustainability in AI and New-Age Thematic Investing
Mohammad Irfan, Khaled Hussainey, Syed Ahmad Chan Bukhari, Yunyoung Nam. © 2024. 295 pages.
In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture....
EEG Forecasting With Univariate and Multivariate Time Series Using Windowing and Baseline Method
EEG Forecasting With Univariate and Multivariate Time Series Using Windowing and Baseline Method
Thara D. K., Premasudha B. G., Murthy T. V., Syed Ahmad Chan Bukhari. © 2022. 13 pages.
People suffering from epilepsy disorder are very much in need for precautionary measures. The only way to provide precaution to such people is to find some methods which help...
Frameworks for Querying Databases Using Natural Language: A Literature Review – NLP-to-DB Querying Frameworks
Frameworks for Querying Databases Using Natural Language: A Literature Review – NLP-to-DB Querying Frameworks
Syed Ahmad Chan Bukhari, Hafsa Shareef Dar, M. Ikramullah Lali, Fazel Keshtkar, Khalid Mahmood Malik, Seifedine Kadry. © 2021. 18 pages.
A natural language interface is useful for a wide range of users to retrieve their desired information from databases without requiring prior knowledge of database query language...