People
Imon Banerjee, Ph.D
Assistant Professor
Department of Biomedical Informatics
Department of Radiology
Core research areas are biomedical data mining and predictive modeling. I have a solid background in many areas of Artificial Intelligence and Natural Language processing. During my postdoctoral training at Stanford university, I successfully carried out several innovative machine learning based research projects related to development of predictive analysis techniques. I also have affiliation with Stanford University.
Employment and Education:
Co-director Medical and Health Informatics Core (MHIC)
I was an Instructor with joint affiliation in Radiology and Biomedical Data Science Dept. at Stanford University.
I worked as a Post-doctoral scholar in the Laboratory of Quantitative Imaging at Stanford university.
I received Ph.D. in Computer Science from The University of Genova, Italy in 2016.
During Ph.D., I received Marie Curie European fellowship.
I worked as an early-stage researcher at the National Research Council, Italy.
I completed Master thesis in The European Organization for Nuclear Research (CERN), Geneva.
Professional Activities and Experience
Member of NIH scientific review panel
Member of Scientific Program Committee, AMIA Annual Symposium 2020
Member of AMIA Awards Committee
Member of Cancer Prevention and Control (CPC) Program, Winship Cancer Institute.
Member of Executive committee at Center for Artificial Intelligence in Medicine & Imaging, Stanford
Member of doctoral student admission committee in Dept. Computer Science, Emory University
Member of doctoral thesis committee in Dept. Computer Science, Emory University
Manuscript Reviewer for biomedicine journals and conferences - Nature Medicine, Medical Physics, International Journal for Computer Assisted Radiology and Surgery (IJCARS), Journal of Biomedical Informatics (JBI), International Journal of Medical Informatics (IJMI), Journal of digital imaging (JDI), AMIA annual symposium, AMIA informatics summit, JCO Clinical Cancer Informatics, and Plos one.
Manuscript Reviewer for core computer science journal and conferences - International Conference on Machine Learning (ICML), Conference on Neural Information Processing Systems (NeurIPS), Visual Computer Journal.
Amara Tariq, Ph.D
Post-doctoral fellow
Department of Biomedical Informatics
She has a Ph.D. in Computer science from University of Central Florida. Her expertise is in Computer Vision, Natural Language Processing, and Machine Learning. Her work has been focused on multi-modal data processing; especially visual and textual data. She has several research papers in prestigious venues (PAMI, IEEE TIP, CVPR) on automatic image caption generation as well as semantic analysis of free-flowing text. Before joining Emory, she was working as an Assistant Professor at Forman Christian College, Pakistan.
She is currently working on several projects focusing broadly on bridging the gap between imaging and clinical text data, and extracting patient-specific information for diagnosis and prediction.
Monjoy Saha, Ph.D
Research Scientist
Department of Biomedical Informatics
Monjoy Saha is working as a research scientist at the Department of Biomedical Informatics. He has completed his PhD in machine learning and medical image analysis from the Indian Institute of Technology Kharagpur, India. His prime research domains are Digital Pathology, Artificial intelligence, Radiology and Biomedical Engineering related fields.
He is also serving as an Associate Editorial Board Member for the journal of Current Medical Imaging (ISSN: 1875-6603).
Pradeeban Kathiravelu, Ph.D
Post-doctoral fellow
Department of Biomedical Informatics
He has an EU Erasmus Mundus Ph.D. double degree in Distributed Computing from Instituto Superior Técnico - Universidade de Lisboa (Portugal) and Université catholique de Louvain (Belgium). His research interests include Network Softwarization, Software-Defined Systems, Cloud-Assisted Networks, Big data Integration, Internet Measurements, and Service-Oriented Architecture.
He is currently researching and developing a self-adaptive latency-aware framework that leverages network softwarization to efficiently schedule and execute biomedical informatics workflows, such as radiology imaging streams and remote workstations, in research clusters and wide-area networks ranging from hybrid clouds to the edge.
Xiaoyuan Guo
Graduate Student in CS
Department of Computer Science
She is a fourth-year Ph.D. student at Emory University in the Department of Computer Science. Her major research interests include Computer Vision and Medical Image Processing. Her reserach is focused in applying the mainstream object detection, segmentation methods to solving various medical image tasks.
Yibo Wang
MS Student in CS
Was born in southern China and obtained my BS degree in Shandong University. She likes reading, cooking and watching movies. Currently she is interested in applying machine learning techniques for unsupervised text mining for COVID patients.
Jiwoong Jeong (Jason)
Graduate Student in CS
Born in Korea, raised in the Midwest, and living in the South. He has a background in medical physics and am interested in Medical Image Processing, Analysis, and Classification using Deep Learning methods.
Thiago Santos
Graduate Student in CS
My background is in Information System and Computer Science, with focus on Graph Theory and the well know NP Hard problem of Minimum Cost Homomorphism. My current research interest lies on developing/applying NLP to medical domain problems as well as using deep learning methods.
Ramon Correa
Graduate Student in CS
is a second Year student in the Emory CSI program. His major Interest involve studying how DL can be reliably applied to medical imaging problems.
Yuchen Zhang
Research Intern
2nd Year Biostatistics MSPH student at Rollins School of Public Health in Emory University
Before Rollins:
Bachelor of Engineering in Food Science from China Agricultural University (2019)
Bachelor of Economics in Finance from China Agricultural University (2019)
Research Interests:
Precision medicine, machine learning, modern regression modeling methods for biomedical data, and survival analysis
Research Intern
received my B.Sc degree in Computer Hardware Engineering from Khajeh Nasir Toosi University of Technology, Iran. She is interested in machine learning and its applications in healthcare, medical imaging, and computer vision.
Research Intern, SIRE Emory Student
a second year computer science major interested in real world applications of machine learning and AI
Matt Wang
Research Intern, Emory BS Student
Matt is a sophomore at Emory University who is currently majoring in Computer Science. In his spare time he likes to read, run, and boulder. He is excited to learn more about the field and to collaborate with others on projects to advance our current understandings and to see those concepts to real world application.
Dipam Paul
Research Intern
He is a final year undergraduate student pursuing Electronics and Telecommunication from KIIT University, India. His core research interests include Deep Learning, Weakly Supervised Learning and the application of the same to make sense of Medical datasets.
Research Intern, Emory BS Student
Elijah is a sophomore at Emory University double majoring in Biology and Computer Science on the pre-medical track. His hobbies include reading, breakdancing, and listening to music. He is interested in learning more about the applications of computer science in the medical field and how technology can further improve patient care everywhere.
Worked in the lab
Scott Jeffery Lee
Residence
I graduated with an MD from the University of Wisconsin – Madison. I did an additional year as a research fellow in the university’s Institute for Clinical and Translation Research (ICTR). I also spent a short time at the NIH working in Ron Summers’ deep learning lab to help them validate a mask rCNN model for aortic atherosclerotic calcium scoring. My research qualifications and interests are in the development of opportunistic screening methods from computed tomography scans, statistical modeling in clinical epidemiology using R, and natural language processing.
Mahmoud Zeydabadinezhad
Graduate Student in CS
Ph.D. student in Computer Science, Biomedical Informatics track. I have formal education in biomedical engineering with domain knowledge in medical image analysis. I am interested to do research in machine learning and data science area with an emphasis on medical applications.
Jie Lin
Graduate Student in CS Emory
(Currently Grad student in Central Florida)
He is a software engineering major. He is working in a Natural Language Processing project to predict CPT codes and ICD codes by analyzing free-text radiology reports.
Phillip Kinney
BS student in CS (G.Tech)
An Atlanta native; he studies Computer Science as an undergrad at Georgia Tech as an excuse to wrestle with powerful information technology, like deep-learning AI.
He is attempting to predict Covid-19 related hospitalizations based on the natural language in medical notes.