Issam El Naqa
This seminar series is designed to encourage vibrant discussions, build professional camaraderie among the members of our department, and provide an opportunity for everyone to present what they are working on.
1-24-24
On January 24, 2024, the Machine Learning Department held our rEsearch in progress MachinE leaRninG mEetings (EMERGE). Our presenters were Kavya Venkatesan and Isabel Ung from Ghulam Rasool Lab who talked about the progression of AI and common misconceptions regarding Large Language Models.
1-10-24
On January 10, 2024 The Machine Learning Department held their The rEsearch in progress MachinE leaRninG mEetings (EMERGE) with Presenter: Jesutofunmi Fajemisin from Lab: Issam El Naqa, M.A.,Ph.D, DABR, FAAPM, FIEEE, FAIMBE. The topic was: AI for effective MRI-Linac adaptive RT.
12-4-23
On December 4, 2023, we held our EMERGE (rEsearch in progress MachinE leaRninG mEetings) with our presenter Ashwin Mukund from Dr. Ghulam Rasool’s Lab. He spoke about some very cool approaches to features processing.
11-29-23
On November 29, 2023, we held our EMERGE (research in progress) seminar with our presenter Thanh Duong from Dr. Thanh Thieu's Lab. He spoke on OncoNLP, a pipeline of cancer phenotype and clinical extraction and how a knowledge base improves generative models.
10-18-23
On October 18, 2023, we held our (research in progress) seminar with our presenter Dr. Piyawan Conahan, Ph.D. from Dr. Yi Luo’s Lab. She spoke on improving the participation and adherence of lung cancer screening with Fair and Explainable
5-3-23
Two presenters, Tuan Dung Le from Thieu’s lab and Sara DeValle from Karolak provided a great experience at this EMERGE (rEsearch in progress MachinE leaRninG mEeting). Great work!
3-9-23
Our next speaker for the The Machine Learning Department's EMERGE (rEsearch in progress MachinE leaRninG mEeting) was Dipesh Niraula from Dr. Issam El Naqa's Lab who presented on ARCLiDS - AI assisted clinical decision making.
3-9-23
Matthew Froid is a 1st year PhD student doing his in David Basanta's lab in IMO. Matthew presented at the Machine Learning Department's EMERGE (rEsearch in progress MachinE leaRninG mEeting). Mathew presented on how he can extend his work in AML with Russell Rockne and David Basanta to drug-drug interactions and protein networks studied during rotations in my lab. Good job Matthew!
1-12-23
The Machine Learning Department excitedly hosted another EMERGE (rEsearch in progess MachineE leaRninG mEeting) with speaker Nam Phương Nguyễn, Graduate Research Assistant (PhD student, USF Health) from Aleksandra Karolak's Lab.
His presentation was amazing and we enjoyed spending time together as a team!
12-12-22
We were honored to have two of our secondary faculty present at this meeting of EMERGE (rEsearch in progress MachinE leaRninG mEeting) in the Machine Learning Department.
Dr. Les Folio presented on the topic of: The latest and greatest ML enterprise imaging research (make annotations great again) and Dr. Marilyn Bui spoke to us about the importance of pathology and its 3rd revolution thanks to AI.
11-17-22
The Machine Learning Department excitedly hosted yet another in-person EMERGE (rEsearch in progress MachinE leaRninG mEeting) with speaker Asim Waqas (Graduate Research Student) in Rasool Lab. The presentation were remarkable, and we appreciated spending time together as a team!
10-20-22
The Machine Learning Department excitedly hosted another in-person EMERGE (rEsearch in progress MachinE leaRninG mEeting) with speaker Thanh Duong (Graduate Research Student) in Thieu Lab. Thanh discussed the Natural Language Processing Applications to Cancer Research.
9-8-22
The Machine Learning Department's next EMERGE (rEsearch in progress MachinE leaRninG mEeting) meeting was hosted Dr. Bi Zhao. Dr. Bi Zhao discusses the Molecular Glues and Alternative Splicing projects with Dr. Aleksandra Karolak, Nam Nguyen and Dr. Issam El Naqa.
8-11-22
The Machine Learning Department excitedly hosted our first in-person EMERGE (rEsearch in progress MachinE leaRninG mEeting) with speakers Edward Cutler (Patient Advocate) and Ruwani Fernando (Applied Post Doc Fellow) The presentations were amazing, and we enjoyed spending time together as a team!
