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 2026–2027 academic year has been finalized. No additional Ph.D. students, graduate research assistants, or other researchers are being accepted at this time.
For future openings, the AI MIND Lab considers UCF Computer Science Ph.D. students who have completed a master’s degree and are eligible to participate through an approved academic appointment or structured research mechanism. Meeting these eligibility criteria does not guarantee admission to the lab. Selection depends on research alignment, preparation, available supervision, project needs, and funding.
The lab emphasizes innovative research, strong methodological foundations, sustained engagement, collaboration, reproducibility, and high-quality publications.
Ph.D. students typically join the lab through the official UCF Computer Science Ph.D. program and may participate in doctoral research through CAP 7919 or another appropriate, approved research course or appointment.
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 two peer-reviewed conference papers at highly selective venues, such as NeurIPS, CVPR, or MICCAI, and two full-length journal articles in respected, high-impact venues before graduation. These are lab research goals, not UCF degree requirements, and publication outcomes cannot be guaranteed.
All Ph.D. students are expected to maintain active and sustained research engagement throughout the year. Each student, regardless of full-time or part-time status, is generally expected to:
Lead one primary research project annually.
Meet established project milestones and deadlines.
Communicate progress, challenges, and anticipated delays promptly.
Contribute meaningfully to relevant collaborative research and, when appropriate, proposal development.
Participate consistently in scheduled lab meetings and research activities.
Full-time Ph.D. students are generally expected to contribute to two collaborative projects annually in addition to their primary project. Students with an approved internship or another substantial external commitment are generally expected to contribute to one collaborative project annually. Responsibilities and timelines may be adjusted when justified by the student’s circumstances, project needs, or appointment terms. Any modification must be discussed in advance and documented in writing by the principal investigator.
Project assignments, responsibilities, milestones, and deadlines will be established in writing.
December 1: International applicants
July 1: Domestic applicants
July 1: International applicants
December 1: Domestic applicants
Deadlines and admission requirements may change. 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 graduate research assistant funding is committed to existing Ph.D. students. The lab does not currently have funded GRA or other paid research positions available.
Graduate Teaching Assistantships are administered separately and are not offered by the lab. Independent funding does not guarantee acceptance into the lab. Please do not email solely to request GRA, GA, GTA, TA, or other financial support; individual funding inquiries may not receive a response.
Sai K. Nallamothu | Contributed to multimodal foundation models for diagnostic certainty in oncology.
Anirudh N. Bharadwaj | Contributed to continuous neural representations for topology-aware 3D brain MRI registration.
Md. Ehsanul Haque | Contributed to interpretable deep learning methods for brain tumor classification.
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: Feb 16-23 | Montréal, Canada | 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.