Dr. Janki Bhimani

Assistant Professor and Director of Data Management Research Lab (DaMRL),
Knight Foundation School of Computing and Information Sciences (KFSCIS),
Florida International University (FIU)
To download the PDF of full Portfolio including Biography, CV, Statements, and Publication Samples in a single file, click here.
  1. Biographical Summary
  2. Curriculum Vitae
  3. Research Statement
  4. Teaching Statement
  5. Service Statement
  6. Teaching: List of Courses Taught
  7. Supervised Graduate Students
  8. Research Activities: Representative Publications
  9. All Publications
  10. Grants
  11. Awards
  12. Patent

Biographical Summary

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             Dr. Janki Bhimani is a full-time, nine-month, tenure-earning faculty member, currently holding the position of Assistant Professor in the Knight Foundation School of Computing and Information Sciences (KFSCIS) at Florida International University (FIU), an R1 public research university located in Miami, Florida. Prior to joining FIU in 2019, Dr. Bhimani served as an Instructor at Northeastern University. She also held the position of Performance Architect, interning for three consecutive years at Samsung Semiconductors in San Jose. She successfully earned her Ph.D. in 2019 from the Department of Electrical and Computer Engineering at Northeastern University in Boston, working under the supervision of Dr. Ningfang Mi.
             Dr. Bhimani's primary research interests span System Design, Storage Systems, Memory Management, Computer Architecture, Electronic Design Automation (EDA), Cloud Computing, Big Data, Modeling and Simulation, Resource Management, Capacity Planning, Machine Learning (ML), and High-Performance Computing (HPC). Leveraging her profound knowledge and extensive experience in new emerging non-volatile memories and flash-based devices, she has made significant contributions to the data storage management community. Recognized for her outstanding contributions, Dr. Bhimani has received numerous awards and accolades, including NSF CAREER Award, FIU Top Scholar in the research publication category, KFSCIS Excellence in Applied Research, and Distinguished Reviewer and Best Paper Awards from flagship conferences. She has also been honored with Quality Matters (QM) certification for the courses she meticulously designed.
             Dr. Janki Bhimani stands out as a distinguished researcher, having secured a remarkable $6 million in research funding from prestigious federal and state sources like NSF and Cyber Florida as well as industries such as Samsung Semiconductors. As the Principal Investigator, she led projects totaling $3 million. With a prolific research output, Dr. Bhimani has contributed significantly with 10 high impact journal articles, 35 peer-reviewed conference papers, 10 patents, and about 1000 citations. Her work has resulted in publications in high-impact journals such as IEEE Transactions on Cloud Computing (TCC), IEEE Transactions on Vehicular Technology (TVT), ACM Transactions on Storage (TOS), IEEE Transactions on Computers (TC), ACM Transactions on Modeling and Computer Simulation (TOMACS), IEEE Transactions on Big Data (TBDATA), and IEEE Transactions on Multi-Scale Computing Systems (TMSCS) and highly selective conferences and workshops such as DAC, HPCA, DATE, CLOUD, HPDC, and HotStorage. She has successfully graduated a Ph.D. student to become a tenure track Assistant Professor at Missouri State University and currently supervises a diverse group of Ph.D., M.S., and undergraduate students. In the past five years, she has advised eight Hispanic students, one Asian American student, and three women. Dr. Bhimani's collaborative spirit is evident in her partnerships with institutions like the University of Maryland, University of Chicago, Argonne National Lab, Syracuse University, and industry leaders such as Samsung Semiconductors.
             As an educator, she excels in teaching, reflected in an impressive student feedback rating of 4.13/5, Quality Matters (QM) certification, and impact-driven teaching methodologies. She has taught various core and intensive graduate and undergraduate courses, including Storage Systems and Data Structures. She has secured Quality Matters (QM) certification for all her online courses and led curriculum updates to design and integrate a Data Structures course taught in multiple programming languages. She has implemented module-based content distribution with live feedback and class projects on the Chameleon cloud platform. Dr. Bhimani's commitment extends beyond research and teaching to service roles, where she has made substantial contributions to FIU's growth, serving as a member of the Faculty Hiring Committee, Awards Committee, CEC Faculty Council, Graduate Committee, Subject area coordinator, Graduate Program Committee, DEI Committee, and as Seminar Series Coordinator. Dr. Bhimani has taken on various leadership roles, including associate editor for ACM journals, general chair, program committee chair, track chair, publicity chair, and session chair for conferences such as CCGRID, ACM HotStorage, and HPDC. She has provided extensive service as a TPC member for top conferences such as USENIX FAST, IPDPS, and CLOUD. Her dedication also encompasses voluntary service at the Center for Women and Gender Studies, showcasing a holistic approach to academic and societal advancement. She keeps her skills updated through active participation in events at FIU, including the STRIDE workshop for hiring, tenure, and promotion, the Diversity Advocate workshop, and the Bystander Leadership workshop.

My Expertise

Research:
  • Grants: Secured $6 million in research funding from NSF, Cyber Florida, and Samsung Semiconductors with $3 million as PI. I recieved NSF CAREER award and Sole PI NSF Core proposal funding recently, other five proposals are under review, including two as PI. My future plans include applying for large grants from DOE, NSF, and AFOSR.
  • Awards, Publications, and Patents: Contributed significantly with 10 high-impact journal articles, 35 peer-reviewed conference papers, 10 patents as the lead inventor, and about 1000 citations. Recognized with Awards including NSF CAREER, FIU Top Scholar, KFSCIS Excellence in Research, Distinguished Reviewer, and Best Paper Awards.
  • Student Advising/Mentoring: Graduated one Ph.D. student, who is now tenure track Assistant Professor at Missouri State University, mentored eight Hispanics, one Asian American, and three women in the past five years.
  • Collaborations: Established collaborations with institutions like the University of Maryland, University of Chicago, Argonne National Lab, Syracuse University, and industry leaders Samsung Semiconductors and IBM Research.
Teaching:
  • Designed and taught many core and effort intensive courses, achieving an average student feedback rating of 4.13/5.
  • Secured Quality Matters (QM) certification for all online courses.
  • Led curriculum update efforts to integrate a Data Structures course taught in multiple programming languages.
  • Implemented module-based content distribution, live feedback incorporation stategy, and class projects on Chameleon cloud platform.
Service:
  • Contributed to FIU's growth, serving on the Faculty Hiring Committee, Awards Committee, CEC Faculty Council, Graduate Committee, Subject area coordinator, Graduate Program Committee, DEI Committee, and as Seminar Series Coordinator.
  • Led roles such as Associate Editor for ACM TACO Journal, General Chair, Publicity Chair for ACM HotStorage, Program Committee Track Chair for CCGRID, Session Chair for USENIX FAST, and Poster Chair for HPDC. Extensive service as a TPC member for conferences like USENIX FAST, IPDPS, CLOUD.
  • Volunteering at the Center for Women and Gender Studies.
  • Received Grace Hopper Celebration of Women in Computing (GHC) Faculty Scholarship for two years and Certificate of Completion from ASEE DELTA Junior Faculty Institute. Participated in STRIDE workshop for hiring, tenure, and promotion, Diversity Advocate workshop, and Bystander Leadership workshop.

My Interests

  • I am passionate to drive innovations and lead a system design solution team to improve performance, total cost ofownership, and reliability with my problem-solving attitude and technical expertise.
  • I desire to develop next generation end-to-end stack memory management solutions that effectively utilize emerging disaggregated, distributed, heterogeneous memory/storage resources to address the needs of evolving applications including ML/AI, and also explore the power of ML/AI as well as its limits and overheads in improving many aspects of the storage stack, such as performance and management complexity.

My Strength

  • An approachable, accountable, and genuine leader, I lead talented cross-functional teams committed to excellence in alignment with best practices and quality standards.
  • As a true forward-thinker, I innately interpret and capitalize on early trends, personally guiding the entry of research on emerging technologies and pioneering “firsts” by successfully acquiring multimillion-dollar federal competitive grants as a lead Principal Investigator.
  • As a quick learner, I can assimilate new ideas efficiently with my strategic thinking capabilities to come up with several solutions to solve a problem and analyze them quickly to determine the best course of action.

Curriculum Vitae

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Research Statement

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    Teaching Statement

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    Service Statement

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    Teaching: List of Courses Taught

    Overall SPOTS rating: 4.13/5
    1. Fall 2024 - COP 3530: Data Structures, Undergraduate-level
    2. Spring 2024 - CIS 5900: Independent Study, Graduate-level
    3. Spring 2024 - CIS 3900 Independent Study, Undergraduate-level
    4. Spring 2024 - CIS 5346: Storage Systems, Graduate-level
    5. Fall 2023 - CIS 5346: Storage Systems, Graduate-level
    6. Fall 2023 - COP 3530: Data Structures, Undergraduate-level
    7. Spring 2023 - CIS 5346: Storage Systems, Graduate-level
    8. Spring 2023 - COP 3530: Data Structures, Undergraduate-level
    9. Fall 2022 - COP 3530: Data Structures, Undergraduate-level
    10. Summer 2022 - CIS 3900 Independent Study, Undergraduate-level
    11. Spring 2022 - CIS 5346: Storage Systems, Graduate-level
    12. Spring 2022 - CIS 5900: Independent Study, Graduate-level
    13. Spring 2022 - COP 3530: Data Structures, Undergraduate-level
    14. Fall 2021 - COP 3530: Data Structures, Undergraduate-level
    15. Summer 2021 - CIS 3900 Independent Study, Undergraduate-level
    16. Spring 2021 - COP 3530: Data Structures, Undergraduate-level
    17. Fall 2020 - COP 3530: Data Structures, Undergraduate-level
    18. Spring 2020 - COP 3530: Data Structures, Undergraduate-level
    19. Fall 2019 - CIS 5346: Storage Systems, Graduate-level
    20. Fall 2017 - EECE 2560: Fundamentals of Engineering Algorithms, Undergraduate-level (Northeastern University)
  • Statements of Peer Teaching Evaulations and Self Teaching Evaultions can be downloaded, here.
  • Supervised Graduate Students

      10 Ph.D.Thesis Advisees (1 graduated + 1 proposal defended + 3 candidate + 3 discontinued + 2 hired applicant starting next semester), and 10 Ph.D. Committee Member (4 graduated + 3 proposal defended + 3 qualifying passed)]
    • Graduated Ph.D. Students
      1. Adnan Maruf, Ph.D. student
        Dissertation topic: Improving the performance and reliability of systems with emerging memory and storage devices
        Graduated in Apr. 2023
        Tenure Track Assistant Professor, Missouri State University
    • Current Ph.D. Students
      1. Manoj Pravakar Saha, Ph.D. student
        Dissertation topic: Enhancing the in-storage indexing and ML checkpointing
        Dissertation plan: Spring 2025
      2. Alexis Gonzales, Ph.D. student
        Dissertation topic: Fault-Tolerant Caching Service
        Dissertation plan: Spring 2027
      3. Ali Bin Omer Qureshi, Ph.D. student
        Dissertation topic: Optimizing Data Spilling in Distributed Query Engine and Memory Management
        Dissertation plan: Fall 2029
      4. Mayur Akewar, Ph.D. student
        Dissertation topic: Towards Designing New Techniques for AI Based Data Indexing and Neuro-Symbolic AI
        Dissertation plan: Spring 2030
      5. (2 new students)
      6. new Ph.D. students starting next semester
      7. new Ph.D. students starting next semester
    • Discontinued Ph.D. Students
      1. Daniel Carlson, Ph.D. student
        Dissertation topic: Improving the Performance of Dis-aggregated Memory Systems
        Duration advised by me: Fall 2020 - Spring 2024
      2. Ashikee Ghosh, Ph.D. student
        Dissertation topic: Designing Libraries for Efficient ML Checkpointing
        Duration co-advised by me: Spring 2020 - Fall 2023
        Software Development Engineer, Amazon
      3. Maimuna Begum Kali, Ph.D. student
        Dissertation topic: Optimizing Parallel Operations within BigData Processing Platforms
        Duration advised by me: Fall 2019 - Fall 2021
        Ph.D. student, School of Universal Computing, Construction, and Engineering Education (SUCCEED)
    • Ph.D. Committee Member
      1. Rafael Trujillo
      2. Pratik Poudel
      3. Pedro Espina
      4. Sumesh Kumar
      5. Ziyang Jiao (Syracuse University)
      6. Omkar Desai (Syracuse University)
      7. Liana Valdes Rodriguez (Graduated)
      8. Oswaldo Artiles (Graduated)
      9. Muhammad Haseeb (Graduated)
      10. Danlin Jia (Northeastern University) (Graduated)

    Research Activities: Representative Journal Publications

    [Total 45 - 20 FIU (13 with FIU students supervised by myself) and 25 Pre-FIU]
    (Only publications at FIU are included.)
    1. Danlin Jia, Li Wang, Natalia Valencia, Janki Bhimani, Bo Sheng and Ningfang Mi, Learning-based Dynamic Memory Allocation Schemes for Apache Spark Data Processing. IEEE Transactions on Cloud Computing (TCC) 2023. Tier 1 Journal with impact factor 11.1.
    2. Ajinkya S Bankar, Shi Sha, Janki Bhimani, Vivek Chaturvedi, Gang Quan, Thermal Aware System-Wide Reliability Optimization for Automotive Distributed Computing Applications. IEEE Transactions on Vehicular Technology (TVT) 2022. Tier 1 Journal with impact factor 2.243.
    3. Janki Bhimani, Zhengyu Yang, Jingpei Yang, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, Changho Choi, Vijay Balakrishnan, Automatic Stream Identification to Improve Flash Endurance in Data Centers. ACM Transactions on Storage (TOS) 2021. Tier 1 Journal with impact factor 1.59.
    4. Janki Bhimani, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, and Vijay Balakrishnan, Auto-Tuning Parameters for Emerging Multi-Stream Flash-Based Storage Drives Through New I/O Pattern Generations. IEEE Transactions on Computers (TC) 2020. Tier 1 Journal with impact factor 3.131.
    5. Janki Bhimani, Ningfang Mi, Miriam Leeser, and Zhengyu Yang, New Performance Modeling Methods for Parallel Data Processing Applications ACM Transactions on Modeling and Computer Simulation (TOMACS), 2019. DOI 10.1145/3309684. Tier 1 Journal with impact factor 1.380.

    Sample of Peer Reviewed Conference Proceeding Publications

    1. Manoj Saha, Danlin Jia, Janki Bhimani, and Ningfang Mi, MoKE: Modular Key-value Emulator for Realistic Studies on Emerging Storage Devices 2023 IEEE International Conference on Cloud Computing (CLOUD'23), Hybrid Event, Chicago, IL, 2023.
    2. Manoj P. Saha, Bryan S. Kim, Haryadi S. Gunawi, Janki Bhimani RHIK - Re-configurable Hash-based Indexing for KVSSD The International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’23), Orlando, FL, 2023. (Short Paper)
    3. Adnan Maruf, Ashikee Ghosh, Janki Bhimani, Daniel Campello, Andy Rudoff, Raju Rangaswami, MULTI-CLOCK: Dynamic Tiering for Hybrid Memory Systems 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA’22), Seoul, South Korea, 2022. Acceptance Rate: 30%. (IEEE Micro Top Picks 2023 Nomination)
    4. Ziyang Jiao, Janki Bhimani, Bryan S. Kim, Wear Leveling in SSDs Considered Harmful 2022 ACM Workshop on Hot Topics in Storage and File Systems (HotStorage ’22), Virtual. (Best Paper Award)
    5. Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan and Janki Bhimani, Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? 2022 Design, Automation and Test in Europe Conference. The European Event for Electronic System Design and Test (DATE’22), Virtual. Acceptance Rate: 25%. (Best Paper Award Nomination)

    Grants

    [10 PI + 3 co-PI/SI = $6,092,218; Total PI funds = $2,992,232; My share of PI funds to FIU = $1,972,303; Co-PI/SI funds to FIU = $95,750.79]
    1. 2024 - 2028 NSF Core Medium (PI)
      “CSR: Medium: DISCO: Disciplined Data Science Framework for Storage I/O Management”
      PI team: Haryadi S. Gunawi, University of Chicago and Sandeep R. Madireddy, Argonne National Laboratory
      Total Value: $1,200,000 (Direct+Indirect) My share: $475,000 (37.5%)
      Start date: Oct 1, 2024 Expiration date: Sep 30, 2028
    2. 2024-2029 NSF CAREER (Only PI)
      “CAREER-2338457 - Towards Efficient In-storage Indexing”
      Total Value: $615,528 (Direct+Indirect) My share: $615,528 (100%)
      Start date: Jul 1, 2024 Expiration date: Jun 30, 2029
    3. 2024-2026 NSF REU Supplement (Only PI)
      “CSR-2406069 - REU: Learning and Management in Tiered Memory Systems”
      Total Value: $16,000 (Direct+Indirect) My share: $16,000 (100%)
      Start date: Jan 1, 2024 Expiration date: Dec 31, 2024
      Project ID: 800020019
    4. 2023-2026 NSF CISE Core (Only PI)
      “CSR-2323100 NSF Core: CSR: Small: Learning and Management in Tiered Memory Systems”
      Total Value: $514,704 (Direct+Indirect) My share: $514,704 (100%)
      Start date: Oct 1, 2023 Expiration date: Sep 30, 2026
      Project ID: 800018181
    5. 2023-2024 Samsung Global Research Outreach (GRO) Award (PI)
      “Leveraging Disaggregated Servers for Large Scale AI Training Acceleration”
      Co-PI: Bryan Kim, Syracuse University
      Total Value: $50,000 (Direct+Indirect) My share: $25,000 (50%)
      Start date: Sep 1, 2023 Expiration date: Feb 29, 2024
    6. 2022-2027 NSF HSI (SI)
      “HRD-2225201 - HSI Institutional Transformation Project Voces (Voices for Organizing Change in Educational Systems)”
      PI team: Yesim Darici, Stephen Secules, Rocio Benabentos, Laird Kramer, Jaroslava Miksovska, Monica Cardella, FIU
      Total Value: $2,999,986 (Direct+Indirect) My share: $69,340 (2.3%)
      Start date: Sep 15, 2022 Expiration date: Aug 31, 2027
    7. 2022-2023 Samsung Memory Solutions Lab (MSL) Research Award (PI)
      “Leveraging Disaggregated Servers for Large Scale AI Training Acceleration”
      Co-PI: Bryan Kim, Syracuse University
      Total Value: $50,000 (Direct+Indirect) My share: $25,000 (50%)
      Start date: Mar 1, 2023 Expiration date: Aug 31, 2023
    8. 2021 Samsung Semiconductor Inc. Equipment Grant (Only PI)
      “Parallel Data Access with Key-Value SSDs”
      Total Value: $10,000 (Direct+Indirect) My share: $10,000 (100%)
      Start date: Oct 1, 2021 Expiration date: Jun 30, 2022
    9. 2021-2022 NSF REU Supplement (Only PI)
      “CNS-2122987 - REU: New Techniques for I/O Behavior Modeling and Persistent Storage Device Configuration”
      Total Value: $16,000 (Direct+Indirect) My share: $16,000 (100%)
      Start date: May 1, 2021 Expiration date: Apr 30, 2022
      Project ID: 800014726
    10. 2020-2023 NSF CISE Core (Lead PI)
      “CNS-2008324 - Small: New Techniques for I/O Behavior Modeling and Persistent Storage Device Configuration”
      Co-PI: Ningfang Mi, Northeastern University
      Total Value: $500,000 (Direct+Indirect) My share: $255,071 (51%)
      Start date: May 1, 2020 Expiration date: Apr 30, 2023
      Project ID: 800012359
    11. 2020-2022 Cyber Florida (Co-PI)
      “RumorHunt: A Next-Generation Online Scalable Streaming System”
      PI team: Liting Hu, FIU and Zhishan Guo, University of Central Florida
      Total Value: $75,000 (Direct+Indirect) My share: $21,410.79 (28%)
      Start date: Aug 1, 2020 Expiration date: May 30, 2022
      Project ID: 800012574
    12. 2019-2020 FIU Faculty Grantsmanship Development Program (Co-PI)
      “Design, Development and Testing of Distributed Computing Framework for globally co-ordinated data submission and accessibility of Mass Spectrometry Data”
      PI team: Fahad Saeed, Alex Afanasyev, Hadi Amini, FIU
      Total Value: $25,000 (Direct+Indirect) My share: $5,000 (20%)
      Start date: Nov 1, 2019 Expiration date: May 30, 2020
    13. 2019 Samsung Semiconductor Inc. Equipment Grant (Only PI)
      “Exploring Vulnerabilities of Key-Value SSDs”
      Total Value: $20,000 (Direct+Indirect) My share: $20,000 (100%)
      Start date: Oct 1, 2019 Expiration date: Sep 30, 2021

    Awards

    • 2024 - Received NSF CAREER Award
    • 2023 - Received FIU Top Scholar Award in the category of the Research, Creative Activities, and Award-Winning Publications
    • 2022 - Received Outstanding Applied Research Award by Knight Foundation School of Computing and Information Science (KFSCIS), FIU
    • 2022 - The Best Paper Award at 14th ACM Workshop on Hot Topics in Storage and Filesystem (HotStorage’22)
    • 2022 - The Best Paper Award Candidate at Design, Automation, and Test in Europe Conference. The European Event for Electronic System Design and Test (DATE’22)
    • 2022 - Quality Matters Certification for Online Course - COP3530 Data Structures
    • 2021 - Awarded Certificate of Completion from ASEE DELTA Junior Faculty Institute
    • 2021 - Grace Hopper Celebration of Women in Computing (GHC) Faculty Scholarship
    • 2021 - Recognized as Distinguished Reviewer Award, 13th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage ’21)
    • 2020 - Received Certification for Hybrid Course - COP3530 Data Structures
    • 2020 - Grace Hopper Celebration of Women in Computing (GHC) Faculty Scholarship
    • 2019 - Outstanding Graduate Research Award, Northeastern University
    • 2018 - The Best Paper Award at 11th IEEE International Conference on Cloud Computing (IEEE CLOUD)
    • 2017 - The Best Paper Award at 36th IEEE International Performance Computing and Communications Conference (IPCCC)
    • 2012 - The Best Budget Robot Award at 3rd Lunabotics International Mining Competition, NASA, Kennedy Space Center, FL
    • 2012 - The Best Working Model Award in Junk Yard Wars at Conscientia, Indian Institute of Space Science Technology (IIST)
    • 2012 - The Best Paper Award at Aagama National Level Technical Paper Contest
    • 2011 - The Best Working Model in Junk Yard Wars during Technozion at National Institute Of Technology (NIT)
    • 2011 - The Outstanding Debate Performance Award by Institute of Engineers India (IEI)
    • 2010 - The Impromptu Speaker Award by International Society for Technology in Education (ISTE)
    • 2010 - 2013 University Merit Scholarship, GITAM University

    Publications

    [Total 45 - 20 FIU (13 with FIU students supervised by myself) and 25 Pre-FIU]

      Selective Refereed Journal Publications

    1. Danlin Jia, Li Wang, Natalia Valencia, Janki Bhimani, Bo Sheng and Ningfang Mi, Learning-based Dynamic Memory Allocation Schemes for Apache Spark Data Processing. IEEE Transactions on Cloud Computing 2023. Tier 1 Journal with impact factor 11.1.
    2. Ajinkya S Bankar, Shi Sha, Janki Bhimani, Vivek Chaturvedi, Gang Quan, Thermal Aware System-Wide Reliability Optimization for Automotive Distributed Computing Applications. IEEE Transactions on Vehicular Technology 2022. Tier 1 Journal with impact factor 2.243.
    3. Janki Bhimani, Zhengyu Yang, Jingpei Yang, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, Changho Choi, Vijay Balakrishnan, Automatic Stream Identification to Improve Flash Endurance in Data Centers. ACM Transactions on Storage (TOS) 2021. Tier 1 Journal with impact factor 1.59.
    4. Janki Bhimani, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, and Vijay Balakrishnan, Auto-Tuning Parameters for Emerging Multi-Stream Flash-Based Storage Drives Through New I/O Pattern Generations. IEEE Transactions on Computers (TC) 2020. Tier 1 Journal with impact factor 3.131.
    5. Janki Bhimani, Ningfang Mi, Miriam Leeser, and Zhengyu Yang, New Performance Modeling Methods for Parallel Data Processing Applications ACM Transactions on Modeling and Computer Simulation (TOMACS), 2019. DOI 10.1145/3309684. Tier 1 Journal with impact factor 1.380.
    6. Zhengyu Yang, Manu Awasthi, Mrinmoy Ghosh, Janki Bhimani, and Ningfang Mi, I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership IEEE Transactions on Big Data (TBDATA), Special Issue on the Integration of Extreme Scale Computing and Big Data Management and Analytics, 2018. DOI 10.1109/TBDATA.2018.2871114. Tier 1 Journal with impact factor 2.00.
    7. Janki Bhimani, Zhengyu Yang, Ningfang Mi, Jingpei Yang, Qiumin Xu, Manu Awasthi, Rajinikanth Pandurangan, and Vijay Balakrishnan, Docker Container Scheduler for I/O Intensive Applications running on NVMe SSDs IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2018. DOI: 10.1109/TMSCS.2018.2801281. Tier 1 Journal with impact factor 2.065.
    8. Zhengyu Yang, Janki Bhimani, Yi Yao, Cho-Hsien Lin, Jiayin Wang, Ningfang Mi, and Bo Sheng, AutoAdmin: Admission Control in YARN Clusters Based on Dynamic Resource Reservation, Scalable Computing: Practice and Experience Special Issue on Advances in Emerging Wireless Communications and Networking (SCPE), 2018. Volume 19, Number 1, pp. 53–67.
    9. Zhengyu Yang, Yufeng Wang, Janki Bhimani, Chiu C. Tan, and Ningfang Mi, EAD: Elasticity Aware Deduplication Manager for Datacenters with Multi-tier Storage Systems Cluster Computing (CC), 2018. https://doi.org/10.1007/s10586-018-2141-z.
    10. Zhengyu Yang, Janki Bhimani, Jiayin Wang, David Evans, and Ningfang Mi, Automatic and Scalable Data Replication Manager in Distributed Computation and Storage Infrastructure of Cyber-Physical Systems Scalable Computing: Practice and Experience, Special Issue on Communication, Computing, and Networking in Cyber-Physical Systems (SCPE), 2018. Volume 18, Number 4, pp. 291–311.
    11. Highly Selective Peer Reviewed Conference Publications. Acceptance rates below 30%

    12. Manoj Saha, Danlin Jia, Janki Bhimani, and Ningfang Mi, MoKE: Modular Key-value Emulator for Realistic Studies on Emerging Storage Devices 2023 IEEE International Conference on Cloud Computing (CLOUD'23), Hybrid Event, Chicago, IL, 2023.
    13. Ziyang Jiao, Janki Bhimani, Bryan S. Kim, Wear Leveling in SSDs Considered Harmful 2022 ACM Workshop on Hot Topics in Storage and File Systems (HotStorage ’22), Virtual. (Best Paper Award)
    14. Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan and Janki Bhimani, Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? 2022 Design, Automation and Test in Europe Conference. The European Event for Electronic System Design and Test (DATE’22), Virtual. Acceptance Rate: 25%. (Best Paper Award Nomination)
    15. Adnan Maruf, Ashikee Ghosh, Janki Bhimani, Daniel Campello, Andy Rudoff, Raju Rangaswami, MULTI-CLOCK: Dynamic Tiering for Hybrid Memory Systems 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA’22), Seoul, South Korea, 2022. Acceptance Rate: 30%.
    16. Adnan Maruf, Zhengyu Yang, Bridget Davis, Daniel Kim, Jeffrey Wong, Matthew Durand, and Janki Bhimani, Understanding Flash-Based Storage I/O Behavior of Games 2021 IEEE International Conference on Cloud Computing (CLOUD’21), Online Virtual Congress, 2021. Acceptance Rate: 23.8%.
    17. Janki Bhimani, Jingpei Yang, Ningfang Mi, Changho Choi, and Manoj Pravakar Saha, Fine-grained Control of Concurrency within KV-SSDs 2021 14th ACM International Systems and Storage Conference (SYSTOR’21), Virtual. Acceptance Rate: 29.9%.
    18. Manoj Pravakar Saha, Bryan Kim, and Janki Bhimani, KV-SSD: What is it Good For? 2021 Design Automation Conference (DAC’21), San Francisco, CA, 2021. Acceptance Rate: 23%.
    19. Danlin Jia, Manoj Pravakar Saha, Janki Bhimani, and Ningfang Mi, Performance and Consistency Analysis for Distributed Deep Learning Applications 2020 International Performance Computing and Communications Conference (IPCCC’20), Virtual using Zoom, 2020. Acceptance Rate: 29.3%.
    20. Janki Bhimani, Rajinikanth Pandurangan, Ningfang Mi, and Vijay Balakrishnan, Emulate Processing of Assorted Database Server Applications on Flash-Based Storage in Datacenter Infrastructures 2019 International Performance Computing and Communications Conference (IPCCC’19), London, UK, 2019. Acceptance Rate: 29.2%.
    21. Danlin Jia, Janki Bhimani, Son Nam Nguyen, Bo Sheng, and Ningfang Mi, ATuMm: Auto-tuning Memory Manager in Apache Spark 2019 International Performance Computing and Communications Conference (IPCCC’19), London, UK, 2019. Acceptance Rate: 29.2%.
    22. Janki Bhimani, Tirthak Patel, Ningfang Mi, and Devesh Tiwari, What does Vibration do to Your SSD? 2019 Design Automation Conference (DAC’19), Las Vegas, NV, 2019. Acceptance Rate: 24.3%.
    23. Janki Bhimani, Ningfang Mi, Zhengyu Yang, Jingpei Yang, Rajinikanth Pandurangan, Changho Choi and Vijay Balakrishnan, FIOS: Feature Based I/O Stream Identification for Improving Endurance of Multi-Stream SSDs 2018 IEEE International Conference on Cloud Computing (CLOUD’18), San Francisco, CA, 2018. Acceptance Rate: 15%. (Best Paper Award)
    24. Janki Bhimani, Ningfang Mi, and Bo Sheng, BloomStream: Data Temperature Identification for Flash Based Memory Storage Using Bloom Filters2018 IEEE International Conference on Cloud Computing (CLOUD’18), San Francisco, CA, 2018. Acceptance Rate: 15%.
    25. Zhengyu Yang, Morteza Hoseinzadeh, Ping Wong, John Artoux, Clay Mayers, David Thomas Evans, Rory Thomas Bolt, Janki Bhimani, Ningfang Mi, and Steven Swanson, H-NVMe: A Hybrid Framework of NVMe-based Storage System in Cloud Computing Environment IEEE International Performance Computing and Communications Conference (IPCCC’17), San Diego, CA, 2017. (Best Paper Award)
    26. Zhengyu Yang, Morteza Hoseinzadeh, Allen Andrews, Clay Mayers, David Thomas Evans, Rory Thomas Bolt, Janki Bhimani, Ningfang Mi, and Steven Swanson, AutoTiering: Automatic Data Placement Manager in Multi-Tier All-Flash Datacenter IEEE International Performance Computing and Communications Conference (IPCCC’17), San Diego, CA, 2017.
    27. Janki Bhimani, Ningfang Mi, Miriam Leeser, and Zhengyu Yang, FiM: Performance Prediction Model for Parallel Computation in Iterative Data Processing Applications IEEE International Conference on Cloud Computing (CLOUD’17), Honolulu, HI, 2017. Acceptance Rate: 18%.
    28. Han Gao, Zhengyu Yang, Janki Bhimani, Teng Wang, Jiayin Wang, Ningfang Mi, and Bo Sheng, AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks International Conference on Computer Communications and Networks (ICCCN’17), Vancouver, Canada, 2017. Acceptance Rate: 25%.
    29. Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, and Murali Annavaram, Performance analysis of containerized applications on local and remote storage International Conference on Massive Storage Systems and Technology (MSST’17), Santa Clara, CA, 2017.
    30. Janki Bhimani, Jingpei Yang, Zhengyu Yang, Ningfang Mi, Qiumin Xu, Manu Awasthi, Rajinikanth Pandurangan, and Vijay Balakrishnan, Understanding Performance of I/O Intensive Containerized Applications for NVMe SSDs IEEE International Performance Computing and Communications Conference (IPCCC’16), Las Vegas, NV, 2016. Acceptance Rate: 25.50%.
    31. Zhengyu Yang, Jianzhe Tai, Janki Bhimani, Jiayin Wang, Ningfang Mi, and Bo Sheng, GREM: Dynamic SSD Resource Allocation in Virtualized Storage Systems with Heterogeneous VMs IEEE International Performance Computing and Communications Conference (IPCCC’16), Las Vegas, NV, 2016. Acceptance Rate: 25.50%.
    32. Other Peer Reviewed Conference and Workshop Publications. Acceptance rates provided when known

    33. Manoj P. Saha, Omkar Desai, Bryan S. Kim, Janki Bhimani Leveraging Keys In Key-Value SSD for Production Workloads The International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’23), Orlando, FL, 2023. (Short Paper)
    34. Adnan Maruf, Daniel Carlson, Ashikee Ghosh, Manoj Saha, Janki Bhimani, Raju Rangaswami Allocation Policies Matter for Hybrid Memory Systems The International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’23), Orlando, FL, 2023. (Short Paper)
    35. Manoj P. Saha, Bryan S. Kim, Haryadi S. Gunawi, Janki Bhimani RHIK - Re-configurable Hash-based Indexing for KVSSD The International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’23), Orlando, FL, 2023. (Short Paper)
    36. Mahsa Bayati, Janki Bhimani, Ronald Lee, Ningfang Mi, Exploring Benefits of NVMe SSDs for BigData Processing in Enterprise Data Centers International Conference on Big Data Computing and Communication (BIGCOM’19), Qingdao, China, 2019.
    37. Janki Bhimani, Jingpei Yang, Zhengyu Yang, Ningfang Mi, NHV Krishna Giri, Rajinikanth Pandurangan, Changho Choi, and Vijay Balakrishnan, Enhancing SSDs with multi-stream: What? why? how? IEEE International Performance Computing and Communications Conference (IPCCC’17), San Diego, CA, 2017. (Short Paper)
    38. Janki Bhimani, Zhengyu Yang, Miriam Leeser, and Ningfang Mi, Accelerating Big Data Applications Using Lightweight Virtualization Framework on Enterprise CloudIEEE High Performance Extreme Computing Conference (HPEC’17), Waltham, MA, 2017.
    39. Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram, Docker Characterization on High Performance SSDs IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS’17), Santa Rosa, CA, 2017. (Short Paper)
    40. Liu Chao, Janki Bhimani, and Miriam Leeser, Using High Level GPU Tasks to Explore Memory and Communications Options on Heterogeneous Platforms ACM Workshop on Software Engineering Methods for Parallel and High Performance Applications (SEM4HPC), Washington, D.C., 2017.
    41. Liu Chao, Janki Bhimani, and Miriam Leeser, Exploring Memory Options for Data Transfer on Heterogeneous Platforms The International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’17), Washington, D.C., 2017. (Short Paper)
    42. Janki Bhimani, Miriam Leeser, and Ningfang Mi, Performance Prediction Techniques for Scalable Large Data Processing in Distributed MPI Systems IEEE International Performance Computing and Communications Conference (IPCCC’16), Las Vegas, NV, 2016. Acceptance Rate: 12%. (Short Paper)
    43. Janki Bhimani, Miriam Leeser, and Ningfang Mi, Design Space Exploration of GPU Accelerated Cluster Systems for Optimal Data Transfer Using PCIe Bus IEEE High Performance Extreme Computing Conference (HPEC’16), Waltham, MA, 2016.
    44. Janki Bhimani, Miriam Leeser, and Ningfang Mi, Accelerating K-Means Clustering with Parallel Implementations and GPU Computing IEEE High Performance Extreme Computing Conference (HPEC’15), Waltham, MA, 2015.
    45. Janki Bhimani, Miriam Leeser and Ningfang Mi, Predicting the Performance of Machine Learning Algorithms running on Heterogeneous Computing Platforms Women in Machine Learning Workshop (WiML’14), Montr´eal, Canada, 2014. (Short Paper)
    46. Baiyu Chen, Zhengyu Yang, Siyu Huang, Xianzhi Du, Zhiwei Cui, Janki Bhimani, Xin Xie, and Ningfang Mi, Cyber-Physical System Enabled Nearby Traffic Flow Modelling for Autonomous Vehicles IEEE International Performance Computing and Communications Conference, Special Session on Cyber Physical Systems: Security, Computing, and Performance (IPCCC CPS’17), San Diego, CA, 2017.
    47. Xianfei Xia, Hongru Xiao, Zhengyu Yang, Xin Xie, and Janki Bhimani, Pelletization Characteristics of the Hydrothermal Pretreated Rice Straw with Added Binders. Arabian Journal for Science and Engineering 43, no. 9 (2016): 4811-4820.

    Patents

    1. Daniel Carlson*, Adnan Maruf*, Raju Rangaswami, and Janki Bhimani, inventors; ”Techniques to Dynamically Allocate Pages within CXL Memory Systems”, Application.
    2. Manoj Pravakar Saha*, Yanzhao Wu, Raju Rangaswami, and Janki Bhimani, inventors; ”Methods to Efficiently Checkpoint Deep-Learning Model on Persistent Memories”, Application.
    3. Manoj Pravakar Saha, Janki Bhimani, inventors; “Flexible and Efficient Data Management Techniques Within Key Value Storage”, US 17/340,573.
    4. Adnan Maruf, Ashikee Ghosh, Raju Rangaswam, and Janki Bhimani, inventors; “ML based Tiered Memory”, US 17/344,449.
    5. Janki Bhimani, Jingpei Yang, Changho Choi, inventors; Samsung Electronics Co Ltd, assignee. “Parallel key value based multi-thread machine learning exploiting KV-SSDs” US 16/528,492. ”, US 17/340,573.
    6. Janki Bhimani, Rajinikanth Pandurangan, Changho Choi, Vijay Balakrishnan, inventors; Samsung Electronics Co Ltd, assignee. “System and method for identifying hot data and stream in a solid-state drive” US 15/895797.
    7. Janki Bhimani, Rajinikanth Pandurangan, Vijay Balakrishnan, Changho Choi, inventors; Samsung Electronics Co Ltd, assignee. “Methods and systems for testing storage devices via a representative I/O generator” United States patent application US 15/853419.
    8. Janki Bhimani, Anand Subramanian, Vijay Balakrishnan, and Jingpei Yang, inventors; Samsung Electronics Co Ltd, assignee. “Container workload scheduler and methods of scheduling container workloads” United States patent application US15/820856.
    9. Janki Bhimani, Jingpei Yang, Changho Choi, Jianjian Huo, inventors; Samsung Electronics Co Ltd, assignee. “Smart I/O stream detection based on multiple attributes” United States patent application US 15/344,422.
    10. Janki Bhimani, Hingkwan Huen, Jingpei Yang, Manu Awasthi, Vijay Balakrishnan, Jason Martineau, inventors; Samsung Electronics Co Ltd, assignee. “Intelligent controller for containerized applications” United States patent application US 15/379,327.

    Contact

    • Email: jbhimani [at] fiu [dot] edu (best way to reach me)
    • Phone: (305)-348-9934
    • Office: CASE 238B, FIU
    • ORCID: 0000-0002-4421-9923