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
GoogleScholarGitHubSai K. Nallamothu
MSc Research Assistant
COM and IAI, UCF
OncoCertainty Project
Md. Ehsanul Haque
External Research Collaborator,
East West University,
Deep Learning Project
The AI MIND Lab offers research opportunities for qualified Master’s and Ph.D. students in Computer Science at UCF through approved academic or structured research mechanisms. Our program emphasizes cutting-edge research, strong methodological foundations, sustained engagement, collaboration, and high-quality publications.
Ph.D. students typically join the lab through the official UCF Computer Science Ph.D. program and may participate in directed research through CAP7919. For current degree and admission requirements, please visit the official UCF Graduate Studies page. Ph.D. students are expected to work toward graduating with at least two peer-reviewed conference papers in leading venues, such as NeurIPS, CVPR, or MICCAI, and two full-length journal articles in high-impact venues. These are AI MIND Lab research expectations and are separate from the university’s official degree requirements. All Ph.D. students must maintain active and sustained research engagement throughout the year. Each student, regardless of full-time or part-time status, must lead one primary research project annually, contribute meaningfully to grant and proposal development, meet established project milestones and deadlines, and communicate progress, challenges, and anticipated delays promptly. Full-time Ph.D. students must also contribute to two collaborative side projects annually. Ph.D. students who become part-time because of an internship or another approved external commitment must contribute to one collaborative side project annually. Project assignments, responsibilities, milestones, and deadlines will be established in writing. Internships and other external commitments do not remove these minimum research requirements. Any requested modification must be discussed in advance and approved in writing by the principal investigator.
Fall Admission
December 1: Final deadline for international applicants
July 1: Final deadline for domestic applicants
Spring Admission
December 1: Final deadline for domestic applicants
July 1: Final deadline for international applicants
Master’s students may participate in the lab through CAP6908 (Independent Study), which provides structured research experience and direct mentorship. CAP6908 is typically the initial pathway for Master’s students interested in joining the lab. Students are expected to define and develop a research project aligned with the lab’s research directions and work toward submission to a top-tier peer-reviewed venue. Projects initiated during the spring semester typically target venues such as NeurIPS or ICML, while projects initiated during the fall semester generally align with MICCAI or related conferences in medical imaging and AI for healthcare.
Because our research involves sensitive clinical data and long-term collaborative projects, the lab does not accept volunteer researchers. All students must be formally affiliated with UCF through an academic program or an approved structured research mechanism to ensure appropriate commitment, continuity, and compliance with institutional requirements.
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 activities. Attending meetings alone does not constitute active participation.
Research assistantships and other paid appointments are time-limited and are not automatically renewed. Renewal and continued funding depend on satisfactory research progress, completion of assigned responsibilities, consistent attendance and communication, adherence to established milestones and deadlines, availability of funding, and compliance with UCF policies. Students who repeatedly miss meetings or deadlines, fail to complete assigned work, remain unresponsive, or demonstrate insufficient progress may not have their appointments renewed and may not continue in the lab. Any employment decision will be made in accordance with the terms of the student’s appointment and applicable university policies.
Funding Notice: The AI MIND Lab does not currently have funded Research Assistant (RA), Graduate Assistant (GA), or Teaching Assistant (TA) positions available for new students. The lab welcomes inquiries only from UCF students who have independent funding or financial support through their academic program. Please do not email to inquire about assistantships or other financial support; individual funding inquiries may not receive a response.
Ongoing Projects
At AI MIND Lab, we advance AI-driven medical research through the development of multimodal and longitudinal AI systems, foundation models, vision-language models, and trustworthy and explainable clinical AI. Our research spans oncology, kidney disease, breast imaging, cardiac MRI, and neuroimaging, with an emphasis on integrating medical imaging, pathology, genomics, electronic health records, and other clinical data. We aim to support early detection, personalized risk assessment, clinical reasoning, treatment planning, and improved patient outcomes. These research efforts are enabled by interdisciplinary collaborations and robust data-use agreements that ensure compliance with ethical standards, privacy regulations, and institutional requirements while providing access to high-quality clinical datasets. Below are our ongoing projects and brief descriptions of their goals.
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 AI Conferences 2026
ICML: Jul 6-12 | Seoul, South Korea | icml.cc
AAAI: Jan 20-27 | Singapore | aaai.org
CVPR: Jun 3-7 | Colorado, USA | cvpr.thecvf.com
ACL: Jul 2-7 | San Diego, US | 2026.aclweb.org
Asilomar: Oct 25-28 | Pacific Grove, US | asilomarsscconf.org
AISTATS: May 2-5 | Tangier, Morocco | aistats.org
ICLR: Apr 23-27 | Rio de Janeiro, Brazil | iclr.cc
NeurIPS: Dec 6-12 | Sydney, Australia | neurips.cc
IJCAI: Aug 15-21 | Bremen, Germany | ijcai.org
ECCV: Sep 8-13 | Malmö, Sweden | eccv.ecva.net
ICCV: Oct 19-25, 2025 | Honolulu, Hawaii, US | iccv.thecvf.com
MICCAI: Oct 4-8 | Abu Dhabi, Unite Arab Emirates | miccai.org
MIDL: Jul 8-10 | Taipei, Taiwan | midl.io
ISBI: Apr 8-11 | London, UK | biomedicalimaging.org
AMIA: Nov 15-19, 2025 | Atlanta, USA | amia.org
ML4H: Dec 6-7, 2025 | San Diego, USA | ml4h.cc
EMBC: Jul 26-30 | Toronto, Canada | embc.embs.org
AIME: Jun 7-10 | Ottawa, Canada | aime25.aimedicine.info
AACR: Apr 17-22 | San Diego, 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.
Tuesdays and Thursdays (8:00 AM - 4:00 PM) - Institute for Artificial Intelligence (IAI), UCF SPRK Office 319A, 4356 Scorpius St., Orlando, FL 32816.
Monday and Wednesdays (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.