Janki Bhimani, Ph.D. Email and Phone Number
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Janki Bhimani, Ph.D. personal email
✪ MY INTERESTS► I am passionate to drive innovations and lead a system design solution team to improve performance, total cost of ownership, and reliability with my problem-solving attitude and technical expertise. ► I desire to develop cross-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 STRENGTHS► An approachable, accountable, and genuine leader, I lead talented cross-functional teams committed to excellence in alignment with best practices and quality standards. ► Aa 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.✪ MY EXPERTISE► R&D- Areas: System Architecture, Performance Optimization and Modeling, Flash-Based Storage, Non-Volatile Memories, Cloud Computing, HPC, Resource Management, and Capacity Planning.- Strong publication record in peer-reviewed CS conferences/journals, with Best Paper Awards and publications in highly selective venues with acceptance rate below 30% including HPCA, HotStorage, TOS, TC, TOMACS, IEEE Transactions on Big Data, IEEE CLOUD, etc. ► Impact Realization and Fund Procurement- Received multi-million dollar competitive grants as a lead Principal Investigator.- Prepare strong proposals with preliminary proof-of-concept, clear research agendas, and work plans to accomplish objectives periodically report research progress to continue funds.- Analyze needs, develop a budget, and strategic plans to manage the expenses meeting the goals on time.► Recruiting and Team Management- Design and implement talent acquisition and retaining strategies to proactively develop a strong R&D team.- Manage the progress process overseeing the team workload allocation, daily activities, obstacles encountered, prospective problem solution strategies, and next actions.- Collaborate with experts from academia, national laboratories, and industries towards fast pace advancements.
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Assistant ProfessorFlorida International UniversityMiami, Fl, Us -
Assistant ProfessorFlorida International University Aug 2019Miami, Fl, UsProf. Bhimani teaches graduate and undergraduate courses, mentor students, serve in internal commitees such as hiring and curriculum design and evaluation, serve the broader research community a global scale by peer-reviewing research articles, participating in conference programs committees, and lead as session chairs at workshops and conferences.Commitment to Promoting Diversity: As a female researcher in the field of Computer Science, Dr. Bhimani is committed to advancing the involvement of underrepresented minorities and women in computer science research. FIU is a Hispanic- and minority-serving institution (HSI and MI), with a 60% Hispanic and 20% African American student body. Dr. Bhimani has a track record of advising students from these under-represented groups. So far in her career, she has supervised 96 undergraduate Hispanic students, 12 undergraduate African American students, and 244 women students.
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DirectorData Mangement Research Lab (Damrl) Sep 2019Dr. Bhimani has established herself as a prominent scholar who consistently generates practical research solutions to many of today’s most pressing challenges within the science and technology industry. The ability to reliably store data is an essential tool for millions of people and virtually all industries. The need for reliable infrastructure to store this information therefore necessitates the continual advancement of information technology solutions addressing data storage system performance and reliability. Dr. Bhimani is leading contributor to research on new storage solutions upon which advancements of many other fields relay.Data Management Research Lab (DaMRL), focus on improving the performance and reliability of evolving data processing, memory management, and data storage infrastructures. Work with emerging technologies such as flash-based storage, multi-stream SSDs, key-value SSDs, 3D-Xpoint, etc. to develop holistic solutions by designing novel resource management, scheduling, and capacity planning techniques for large-scale data-intensive systems. Dr. Bhimani strive towards designing a workspace to flourish creativity, improving the experiences of those underrepresented in computer science such as women and minorities. DaMRL welcomes new candidates inspired to challenge the norms and lead the transformation of our society into the data age.
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Research AssistantNortheastern University Sep 2013 - Jul 2019Boston, Ma, UsData is the fuel for analytics of all the emerging technologies of Internet-of-Things (IoT)and Cloud computing. Data management is a core component to deliver real-world impact. Three major components of data management are data generation, data categorization, and data storage. It is challenging for any system, to efficiently manage data to achieve low latency, high throughput, and good endurance. However, for efficient data management, we need to have a good ecosystem with fine coordination among multiple facets of the system such as parallel computing, hierarchical caching and tiering of memory, and low Input/Output (I/O) latency storage devices. Thus, addressing bottlenecks at each layer is important for accelerating overall production-scale deployments. But, the existing data management solutions for previously used applications and Hard Disk Drive (HDD)systems are not suitable for evolving Cloud infrastructures, Big Data workloads, and flash storagesystems. Therefore, in this dissertation, we focus on studying resource management for Cloud and datacenters at three layers: application consolidation, workload data management, and flash-based data storage. We mainly concentrate on investigating big-data and high-performance computing platforms. For our research, we develop and deploy cutting-edge technologies such as containerized virtualization with Docker, high-performance machine learning applications, scalable big-data infrastructures such as Spark, space-efficient probabilistic data structures such as Bloomfilters, and modern flash-based technologies such as multi-stream and key-value Solid State Drives (SSDs). -
InstructorNortheastern University Sep 2017 - Dec 2017Boston, Ma, UsProfessor for Fall 2017 at Northeastern University, Electrical and Computer Engineering department teaching course:EECE 2560 BOS 4.000 credits Fundamentals of Engineering Algorithms
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Teaching AssistantNortheastern University 2014 - Apr 2016Boston, Ma, UsCourses:EECE 5640 High-Performance Computing Supervisor: Mirriam Leeser Jan. 2016 – Apr. 2016EECE 7205 Fundamentals of Computer Engineering Supervisor: Stefano Basagni Sep. 2015 – Dec. 2015EECE 5698 ST: Simulation & Performance Evaluation Supervisor: Ningfang Mi Jan. 2015 – Apr. 2015CS5800 Algorithms Supervisor: Kenneth Baclawski Sep. 2014 – Dec. 2014 • Assisted faculty members with classroom instruction, exams, record keeping, and other miscellaneous projects.• Corresponded with students on Blackboard or related intra-campus communication system and coached students. • Evaluated homework, assignment, project and exam of studentsPrepared handouts for each lecture for students to gain in-depth knowledge on the topic of interest.Topics covered:Sequential computer architecture, parallel computer architecture, and many core processing. Implementation of computer arithmetic and how it varies on different computer architectures. Porting sequential applications to parallel architectures. Computer simulation and performance evaluation of computer systems. Basic computational and mathematical techniques for modeling, simulating and analyzing the performance by using simulation, including models, random-number generation, statistics, and discrete event-driven simulation.General techniques such as greedy algorithms, divide-and-conquer algorithms, dynamic programming and linear programming. The notion of sorting, graphs, paths, spanning trees, network flows, NP-completeness.
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Software Development Infrastructure EngineerSamsung Strategy And Innovation Center May 2016 - Aug 2018- Work on developing algorithms and software for storage resource management and performance optimization in large scale modern cloud computing and big data datacenters and infrastructure.- Research and create an application correlated “synthetic IO workload generator” to validate robustness of automatic stream detection algorithms. Analyze and make more robust, and tune based auto Multistream with self learning feedback.- Develop algorithms and infrastructure for automatic stream assignment for containerised workloads. Explore performance of an array of NVMe drives when exposed to containerized multiple parallel applications. Design and implement a smart multi-stream assignment analytical model to estimate the improvement in write amplification factor of SSD.- Design KV-SSD infrastructure for HPC applications and enable parallel data access along with parallel compute.
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GusacGitam University May 2011 - May 2013Visakhapatnam, Andhra Pradesh, InPart time lecturer for conducting a seminar and workshop for giving hands on section on Basic Robotics, Advance Robotics, Line follower, MatLAB, Proteus, PCB designing and How stuff works. Assisting students in their projects. Event manager for annual technical conference. -
InternEnergy Options, Rajkot, India Jun 2012 - Jul 2012Circuit development, programming embedded IC and Calibrating controller systems for 'Solar Power Harvest Project' in the research department and developed an improved efficiency solar street lamp.
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InternNasa - National Aeronautics And Space Administration May 2012 - Jun 2012Washington, Dc, UsSupervisor of project: NASA researcher Sir Philip T. Metzger.Accomplishments: Design Lunar Rover, debug robotics circuit, program embedded IC, perform mathematics to decide power level and torque level of motors and actuators of robot. Build automated robotic communication channel to operate robot on synchronized Regolith at NASA Kennedy space centre.Appreciated as the best design of ‘Lunabotics Mining Competition – 2012’
Janki Bhimani, Ph.D. Skills
Janki Bhimani, Ph.D. Education Details
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Northeastern UniversityComputer Engineering -
Northeastern UniversityComputer Engineering
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Gitam University (India)Electrical And Electronics Engineering
Frequently Asked Questions about Janki Bhimani, Ph.D.
What company does Janki Bhimani, Ph.D. work for?
Janki Bhimani, Ph.D. works for Florida International University
What is Janki Bhimani, Ph.D.'s role at the current company?
Janki Bhimani, Ph.D.'s current role is Assistant Professor.
What is Janki Bhimani, Ph.D.'s email address?
Janki Bhimani, Ph.D.'s email address is bh****@****neu.edu
What schools did Janki Bhimani, Ph.D. attend?
Janki Bhimani, Ph.D. attended Northeastern University, Northeastern University, Gitam University (India).
What are some of Janki Bhimani, Ph.D.'s interests?
Janki Bhimani, Ph.D. has interest in Politics, Science And Technology, Education, Poverty Alleviation.
What skills is Janki Bhimani, Ph.D. known for?
Janki Bhimani, Ph.D. has skills like C, Research, Matlab, Pspice, C++, Circuit Design, Javascript, Programming, Automation, Robotics, Drawing, Graphic Design.
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