Janki Bhimani’s primary research focus revolves around Flash-Based Storage Systems, Big Data Processing, Cloud Computing, High-Performance Computing, and Parallel and Distributed Computing. Her research interest also includes Performance Modeling, Resource Management, and Capacity Planning for various emerging inter-disciplinary research domains.
Dr. Janki Bhimani firmly believes that every breakthrough begins with a question, and every question leads to a journey of discovery. Her journey through storage systems has been nothing short of extraordinary, as she is transforming storage systems with AI through groundbreaking research. With a remarkable $6 million in research funding from NSF, Cyber Florida, and Samsung Semiconductors, she has translated theoretical insights into tangible advancements. Her prolific output includes 10 journal articles, 35 conference papers, 10 patents, and approximately 1,000 citations, underscoring her substantial impact on the field.
AI Revolutionizing Data Science and Storage Systems
So, how is AI poised to transform the field of data science and storage systems in the coming years? Dr. Bhimani envisions AI revolutionizing these domains by enabling more efficient data management and advanced storage solutions. “AI is not just a tool; it’s the key to unlocking unprecedented efficiencies and capabilities in data handling,” she asserts.
From Key-Value SSDs to Scalable Systems: The Early Breakthroughs
Her story at FIU began in 2019 with a focus on exploring the vulnerabilities of key-value SSDs through a Samsung Semiconductor Inc. Equipment Grant. This foundational work set the stage for a series of transformative projects. In 2020, she tackled I/O behavior modeling with an NSF CISE Core Grant and later pioneered scalable streaming systems with support from Cyber Florida. “Innovation requires us to constantly rethink how we approach data challenges,” Dr. Bhimani reflects on this period.
The year 2021 saw advancements in parallel data access technologies and a focus on nurturing the next generation of researchers through an NSF REU Supplement. Her work evolved further in 2022 with the NSF HSI Institutional Transformation Project, which addressed systemic changes and enhanced diversity in STEM.
As AI and machine learning gained prominence, Dr. Bhimani’s research embraced these advancements. The 2023 Samsung Global Research Outreach Award and NSF grants propelled her work on large-scale AI training and disaggregated servers, demonstrating her commitment to leveraging cutting-edge technology for impactful solutions. “AI’s potential lies in its ability to transform data into actionable insights and solutions,” she emphasizes.
Shaping the Future: Redefining Data Management with DISCO and NSF CAREER
Currently, Dr. Bhimani is leading the DISCO project and the NSF CAREER Grant, focusing on disciplined data science frameworks and efficient in-storage indexing. These initiatives are set to redefine data management, embodying her vision of a smarter, more efficient technological landscape. “The future of AI in storage systems is about pushing boundaries and embracing new opportunities,” she concludes.
Dr. Bhimani’s journey is a testament to the transformative power of innovation and the role of AI in shaping the future of technology. 🔗 Connect with Dr. Bhimani to learn more about the opportunities to join her team and discover how her groundbreaking research is leading the way in storage systems and AI!