The AI MIND Lab (Artificial Intelligence for Medical Innovation and Novel Discoveries) at UCF brings together computer science and clinical sciences to create intelligent, trustworthy AI for healthcare. Our research spans deep learning, multimodal data fusion, generative and foundation models, and explainable AI, with applications in oncology, cardiology, neuroimaging, pathology, and beyond. By combining cutting-edge computation with clinical collaboration, we aim to advance precision medicine and real-world patient care while training the next generation of AI innovators.
Pegah Khosravi, PhD
Associate Professor at University of Central Florida (UCF)
Institute for Artificial Intelligence, Department of Computer Science
Department of Clinical Sciences, College of Medicine
Senior Deputy Editor of AI, Journal of Magnetic Resonance Imaging
Board Member, Society of Incisionless Surgery (SIS)
GoogleScholarGitHubThe AI MIND Lab research team for the 2026–2028 academic year has been finalized. No additional Ph.D. students, graduate research assistants, or other researchers are being accepted at this time.
The AI MIND Lab expects its Ph.D. students to develop a strong publication record. As a general research target, students should work toward leading at least three peer-reviewed conference papers at highly selective venues, such as NeurIPS, CVPR, AACR, or MICCAI, and three full-length journal articles in respected, high-impact venues before graduation. All Ph.D. students are expected to maintain active and sustained research engagement throughout the year.
December 1: International applicants
July 1: Domestic applicants
July 1: International applicants
December 1: Domestic applicants
Prospective applicants should consult the official UCF Graduate Studies doctoral admissions page for current information. Admission to UCF does not guarantee placement in the AI MIND Lab.
Because the lab’s research may involve sensitive clinical data, regulated resources, and long-term collaborative projects, the AI MIND Lab does not accept informal volunteer researchers. All participants must have an appropriate UCF affiliation and participate through an approved academic appointment, course, employment arrangement, or other structured research mechanism.
Students are expected to maintain professionalism, attend scheduled meetings, complete assigned responsibilities, meet established milestones and deadlines, communicate progress and challenges promptly, and contribute substantively to the lab’s research. Attendance alone does not constitute active participation.
Research assistantships and other paid appointments are time limited and are not automatically renewed. Renewal depends on satisfactory research progress, completion of assigned responsibilities, consistent attendance and communication, adherence to established milestones, availability of funding, and compliance with applicable UCF policies and the terms of the appointment.
If a student repeatedly misses meetings or deadlines, remains unresponsive, fails to complete agreed-upon responsibilities, or demonstrates insufficient research progress, the student’s role or appointment may be reconsidered in accordance with applicable university policies and appointment terms.
All current AI MIND Lab funding for graduate research assistants is committed to existing Ph.D. students through the end of 2028. Therefore, I am not currently considering external requests for funded GRA or other paid research positions. Due to the high volume of inquiries, I am unable to respond individually to emails solely requesting GRA, GA, GTA, TA, or other financial support. Please refer to this notice regarding funding availability before contacting me about such opportunities.
Ongoing Projects
AI MIND Lab develops multimodal AI for medicine, with a focus on foundation models, vision-language models, and longitudinal learning. Our research integrates radiology, pathology, molecular data, and electronic health records to model disease, predict clinical outcomes, and support patient-specific decision making. We develop methods that are robust, interpretable, and clinically grounded, with applications in kidney disease, breast imaging, and computational pathology.
GPU & HPC Resources at AI MIND Lab
AI MIND Lab combines UCF’s advanced high-performance computing infrastructure with dedicated lab-owned GPU resources to support emerging directions in medical AI. Through the UCF Advanced Research Computing Center (ARCC), we use the Newton cluster with NVIDIA V100 and H100 GPUs, the Stokes CPU cluster, high speed InfiniBand networking, and Lustre and RStore storage. For highly active projects with exceptional or time sensitive computational demands, the lab may deploy project specific computing resources when scientifically justified and funding permits. These dedicated systems are typically configured with two NVIDIA RTX PRO 6000 Blackwell Max-Q GPUs, providing 192 GB of aggregate ECC GPU memory, together with a high-performance Threadripper processor and 48 TB of mirrored enterprise storage. Additional capacity may be added as project requirements evolve. These resources support frontier medical AI research, including multimodal foundation models, vision-language models, agentic AI, longitudinal clinical reasoning, high-resolution medical imaging, and trustworthy clinical decision-support systems.
Top Medical AI Conferences
ICML: Jul 6-12 | Seoul, South Korea | icml.cc
AAAI: Feb 16-23 | Montréal, Canada | aaai.org
CVPR: Jun 3-7 | Colorado, USA | cvpr.thecvf.com
ICLR: Apr 23-27 | Rio de Janeiro, Brazil | iclr.cc
NeurIPS: Dec 6-12 | Sydney, Australia | neurips.cc
ECCV: Sep 8-13 | Malmö, Sweden | eccv.ecva.net
ICCV: October 2-8, 2027 | Hong Kong, CN | iccv.thecvf.com
MICCAI: Sept 27-Oct 1 | Strasbourg, France | miccai.org
MIDL: Jul 8-10 | Taipei, Taiwan | midl.io
ISBI: May 25-28 | Lausanne, Switzerland | biomedicalimaging.org
AACR: Apr 2-7 | Orlando, FL, USA | aacr.org
RSNA: Nov 29-Dec 3 | Chicago, Illinois, USA | rsna.org
MLHC: Aug 13-14 | Baltimore, MD, USA | mlforhc.org
CHIL: Jun 28-30 | Seattle, WA, USA | chil.ahli.cc
Ways to Connect
You are welcome to meet with me during my weekly office hours across both UCF campuses. To ensure I can give you my full attention, please email to schedule an appointment before your visit.
Mondays (8:00 AM - 4:00 PM) - Institute for Artificial Intelligence (IAI), UCF SPRK Office 319A, 4356 Scorpius St., Orlando, FL 32816.
Fridays (8:00 AM - 4:00 PM) - College of Medicine (Lake Nona), UCF COM Office 410B, 6850 Lake Nona Blvd., Orlando, FL 32827.
For virtual or ongoing professional connection, LinkedIn is my sole online presence. You are welcome to connect with me.