Rethinking the data path
Designing storage and memory systems that reduce data movement, improve I/O behavior, and make indexing and resource management more efficient across heterogeneous devices.
Computer systems · Research · Education
Janki Bhimani
Rising Scholar Associate Professor (with tenure)
Knight Foundation School of Computing and Information Sciences
Florida International University
I build computing systems that make better use of data, hardware, and computation. My research sits at the intersection of storage and memory systems, AI infrastructure, and resilient computing—with a focus on turning new systems ideas into practical capabilities.
My group studies how systems can adapt to changing workloads, make informed resource decisions, and recover reliably across classical and emerging quantum-computing environments. I also work on neuro-symbolic AI tools that support STEM advising and learning.
Knight Foundation School of Computing and Information Sciences · FIU
$6.5M+Competitive research awards
$3M+Funding as principal investigator
60+Peer-reviewed publications
1,300+Google Scholar citations*
Research agenda
Systems that adapt, optimize, and recover
I look for opportunities where changes in device behavior, system architecture, and application needs can be brought together to enable computing that is more efficient, dependable, and useful.
Systems for data- and compute-intensive AI
Building infrastructure for AI training and inference, including checkpointing, model versioning, data preprocessing, and efficient use of CPU, GPU, memory, and storage resources.
Reliability across classical and quantum systems
Developing checkpointing and recovery techniques for long-running workloads, including quantum and hybrid quantum–classical applications operating under noisy, resource-constrained conditions.
AI that supports STEM learning and advising
Combining language models with structured knowledge and symbolic reasoning to build more grounded, context-aware tools for student advising and educational decision-making.
Research leadership
From foundational questions to funded research
My research is supported by competitive federal and industry programs, with projects spanning storage systems, AI infrastructure, and educational technology.
Towards Efficient In-storage Indexing
2024–2029 · Principal Investigator. Investigating ways to bring indexing closer to storage and improve the efficiency of data-intensive workloads.
DISCO: Disciplined Data Science for Storage I/O
2024–2028 · PI team. Developing a disciplined framework for storage I/O management in collaboration with researchers at the University of Chicago and Argonne National Laboratory.
AI-assisted STEM advising
2026–2029 · Educational research on socially interactive agents to support STEM advising and student decision-making.
Additional projects include tiered-memory management, AI-training infrastructure, and access to national computing and quantum resources. See the full CV for the complete funding record.
Selected work
Recent publications
A selection across systems, storage, AI infrastructure, quantum computing, and AI for education. For the complete and most current bibliography, visit Google Scholar or the full CV.
- Best Paper Award · ACM SAC ’26
Education & academic community
Teaching, mentoring, and service
I bring systems research into the classroom and mentor students working across computer systems, storage, quantum computing, and AI-enabled educational technology.
Teaching & mentoring
- Teaching undergraduate and graduate computing courses, including data structures and storage systems.
- Developing hands-on learning experiences using modern computing platforms and research-driven projects.
- Mentoring graduate and undergraduate researchers on publication-oriented projects and professional development.
Research community & recognition
- NSF CAREER Award (2024).
- Rising Scholar, Florida International University (2025).
- In the Company of Women Award, Miami-Dade County (2025).
- FIU Top Scholar Award for research, creative activities, and award-winning publications (2023).
- Editorial, conference organization, program committee, and peer-review service in computer systems and storage research.
Background
About Janki
I am a computer systems researcher and educator at Florida International University’s Knight Foundation School of Computing and Information Sciences. Before joining FIU, I earned my Ph.D. in Computer Engineering from Northeastern University and worked in industry as a performance architect intern with Samsung Semiconductor. My work is collaborative by design, connecting systems researchers, domain scientists, educators, and industry partners.
Research areas
Storage and memory systems · Computer architecture · AI infrastructure · Performance modeling · Quantum-classical resilience · Neuro-symbolic AI for education
Academic & professional links
Get in touch
For research collaborations, student research opportunities, and academic inquiries.
jbhimani@fiu.edu · CASE 238B, Florida International University