About AI MIND Lab
About AI MIND Lab
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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.
Principal Investigator
Principal Investigator
Current Academic Research and Teaching Team
Current Academic Research and Teaching Team
PhD Student (TBD)
Computer Science
Focus: Medical AI
PhD Student (TBD)
Computer Science
Focus: Medical AI
Important Notice for Prospective Lab Members
Important Notice for Prospective Lab Members
Thank you for your interest in the AI MIND Lab. Please carefully review the following before reaching out:
Due to data sensitivity and strict Data Use Agreements (DUAs), lab work involving non-public medical datasets is restricted to students formally affiliated with UCF. International or external students must first be accepted into a UCF program and onboarded through the appropriate institutional channels before any collaboration can begin.
Students from non-UCF institutions may only participate in projects involving public datasets or data they bring through their home institution, and must do so through a formalized research agreement between their institution and UCF. These collaborations must be coordinated with their primary supervisor and undergo full institutional review and approval.
Opportunities at UCF – PhD in Computer Science
I am recruiting PhD students in Computer Science at UCF to join the AI MIND Lab. Our program emphasizes both cutting-edge research and strong publication outcomes. Students are expected to graduate with at least two peer-reviewed conference papers (e.g., NeurIPS, CVPR, MICCAI) and two full-length journal articles in high-impact outlets (e.g., Nature, Lancet, or field-specific leading journals). These milestones ensure that graduates are well prepared for competitive academic, clinical, and industry careers.
Application Deadlines
Fall admission
January 15 – Priority deadline for funding and assistantships (Graduate Studies)
July 1 – Final deadline for domestic applicants (Department of CS)
January 15 – Final deadline for international applicants
Spring admission
December 1 – Domestic applicants
July 1 – International applicants
At AI MIND Lab, we value respectful communication, responsibility, and integrity. Students are expected to manage their time well, honor commitments, and respond promptly to maintain effective collaboration. Dedication, honesty, and professionalism are the foundation of our work, and we welcome motivated students ready to grow in a supportive, rigorous environment. All admissions decisions are made by the Graduate Committee, though I actively mentor and recruit strong candidates to join my lab.
GPU & HPC Resources at AI MIND Lab
At AI MIND Lab, we harness high-performance computing to advance medical AI and computer vision research.
Newton GPU Cluster (UCF ARCC) – Our main resource at UCF, equipped with NVIDIA V100 and H100 GPUs and InfiniBand networking for large-scale deep learning and multimodal AI model training.
ARCC Faculty File Systems – Shared group allocations and Lustre storage provide scalable access for collaborative projects.
UCF College of Medicine Storage – Dedicated 10 TB secure storage supports IRB-approved studies and protected medical imaging data.
ACCESS PSC Bridges-2 (A100 GPUs) & PSC Ocean Storage – National resources that expand our capacity for computationally intensive experiments and large dataset management.
Together, these resources allow us to train cutting-edge AI models on massive clinical datasets while ensuring security and scalability across UCF and national HPC ecosystems.
Ongoing Project Titles and Data Agreements
Ongoing Project Titles and Data Agreements
At AI MIND Lab, we are committed to advancing AI-driven medical research through collaborations supported by robust data agreements. These agreements ensure compliance with ethical standards, privacy regulations, and institutional guidelines, granting access to high-quality datasets essential for our research. Below are our ongoing projects, a brief description of their goals, and their associated collaborations:
Kidney Cancer Diagnosis and Prognosis Using CNNs and GANs: Leveraging AI to improve kidney cancer diagnosis, subtype classification, and disease outcome prediction.
Collaboration: AdventHealth
Unsupervised Machine Learning for Vocal Fold Lesion Categorization: Using AI to objectively categorize benign vocal fold lesions and generate synthetic models for training.
Collaboration: Weill Cornell Medicine
AI-Driven Pipeline for Cardiovascular Imaging in Congenital Heart Disease: Automating cardiovascular imaging analysis and report generation for better diagnosis and monitoring of CHD.
Collaboration: West Virginia University Medicine Children's Hospital
Artificial Intelligence in Pancreatic Ductal Adenocarcinoma (PDAC): Multimodal Prediction of Survival, Metastatic Status, and Treatment Response: Building multimodal AI models that integrate clinical, genetic, histopathological, and radiological data to predict survival, metastatic spread, and therapy outcomes in pancreatic cancer.
Collaboration: Charité – Universitätsmedizin Berlin
Top AI & Medical AI Conferences 2025
🧠 General AI / ML Conferences 2025
🧠 General AI / ML Conferences 2025
ICML – Jul 13–19 | Vancouver, Canada | icml.cc
AAAI – Feb 25–Mar 4 | Philadelphia, USA | aaai.org
CVPR – Jun 11–15 | Nashville, USA | cvpr.thecvf.com
ACL – Jul 27–Aug 1 | Vienna, Austria | 2025.aclweb.org
COLT – Jun 30–Jul 4 | Lyon, France | learningtheory.org
AISTATS – May 3–5 | Phuket, Thailand | aistats.org
ICLR – Apr 24–28 | Singapore | iclr.cc
NeurIPS – Dec 2–7 | San Diego, USA | neurips.cc
🧬 Medical / Healthcare AI Conferences 2025
🧬 Medical / Healthcare AI Conferences 2025
MICCAI – Sep 23–27 | Daejeon, S. Korea | miccai.org
MIDL – Jul 9–11 | Salt Lake City, USA | midl.io
ISBI – Apr 14–17 | Houston, USA | biomedicalimaging.org
AMIA – Nov 15–19 | Atlanta, USA | amia.org
ML4H – Dec 6–7 | San Diego, USA | ml4h.cc
SRS – Jul 16–20 | Strasbourg, France | srobotics.org
AIME – Jun 23–26 | Pavia, Italy | aime25.aimedicine.info
AACR Annual – Apr 25–30 | Chicago, USA | aacr.org
Office Hours & Teaching Schedule
You are welcome to visit me in person during my office hours every Thursday from 9 AM to 5 PM in room 406J of the Medical College at Lake Nona. To ensure I can provide you with my full attention and assistance, please schedule an appointment via email before your visit. Every Thursday, as the clock ticks from 9 AM to 5 PM, my door opens not just to inquiries but to dreams, ambitions, and the shared journey of discovery.
Social Media
LinkedIn is my sole social media presence. I invite you to follow me there to stay connected. Here is the link to my LinkedIn profile.
Within every data point lies a heartbeat—a story waiting to be told. As we unravel the mysteries of the medical world, let’s remember that our work isn’t just about algorithms and codes; it’s about the lives we touch, and the futures we shape. Let’s venture into this journey not just as students of science but as architects of hope.
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