Data Software Developer

Dhrubajyoti Ghosh

**** **** ***** ****, ** Irvine, CA 92617 Phone: +1-949-***-**** email: ********@***.***. Area of Interest

I am a final year Ph.D. student of Computer Science at University of California, Irvine. My thesis focuses on efficient data management of Internet-of-thing (IoT) systems. I have developed novel techniques and systems for performing enrichment of data efficiently using complex machine learning functions that are required before execution of queries. I am interested to work in big data management systems, scalable systems for machine learning, and stream processing systems. I have experiences in developing systems in Java, Python, and C++ and developing machine learning algorithms for analyzing data of IoT systems. Education

2014 - Ph.D. candidate in Computer Science (Masters requirement completed in December 2016), Current University of California, Irvine.

Thesis: “Scalable Data Management of IoT systems”

Advisor: Professor Sharad Mehrotra Gpa: 3.9/4

2008- Bachelor and Master of Science in Mathematics and Computing, 2013 Indian Institute of Technology, Kharagpur (IIT KGP). Thesis: “Comparative study of discretizations for Population Balance Equations ” Advisor: Professor Jitendra Kumar Gpa: 8.17/10

Work Experience

Aug 2014 Ph.D. Candidate at University of California, Irvine.

- Now Advisor: Professor Sharad Mehrotra.

1) Designed and implemented a live IoT testbed of TIPPERS at UC Irvine. TIPPERS is an Internet-of-thing (IoT) testbed that provides solutions to deal with the large-scale sensor data obtained from heterogeneous sensors. TIPPERS is being used in UC Irvine, UC San Diego, and Naval Base San Diego of US Navy for analytical applications. It is developed in Java and uses MySQL and MongoDB databases in the backend.

2) Developed a new database system EnrichDB to support data enrichment efficiently us- ing database technologies. This system supports iterative query processing to reduce query latency and supports variety of algorithms to order the enrichment tasks during query execu- tion. This system is developed in Python and C++ and uses the technologies of user-defined functions, incremental materialized views and indexes of PostgreSQL to support enrichment. Jun 2013 Software Developer at Oracle India Private Limited, Hyderabad, IN.

-July 2014 Developed several web services for our enterprise application built for large scale human resource management. It required design and implementation of APIs and queries on top of a backend SQL database. Modified the schema of tables, created materialized views and indexes to improve the performances of queries. Modified our web interface of the application to support the new functionalities provided by the APIs. Summer Summer Research Intern at University of Bremen,Germany. 2012 Advisor: Professor Christof Bueskens.

Selected for the DAAD internship program to work on a project of “Non Linear Optimization”. Developed a new component of the tool to solve optimization problems specified in SIF format. This allowed us to test the tool using multiple benchmarks available in SIF format. Summer Summer Research Intern at Georgia Institute of Technology, US. 2011 Advisor: Professor George Biros.

Selected for the summer research internship of CRUISE program at Georgia Tech to work on a project of “Registration of Cardiac MRI Images”. The goal was to detect anomalies in the heart by image analysis of MRI images. I developed a new registration technique on 4D MRI dataset and obtained a performance gain of 10% in accuracy and a speed up of 2.5 times as compared to the state-of-the-art algorithms.

Computational Skills

Languages C, C++, Java, Python, HTML, JavaScript. LATEX. Experiences Machine learning, natural language processing, query optimization, stream processing. Frameworks Sci-kit Learn, Caffe, MATLAB, Android Studio, Oracle’s ADF, NodeJS, Spring Framework, Hiber- nate, MEAN Stack, Apache Spark, Apache Flink.

Databases MySQL, PostgreSQL, SQL Server, Azure secure database, MS Always Encrypted, Jana and Pulsar

(secure DB systems), MongoDB, Oracle Database.

Selected Publications

1. PRISM: Private Verifiable Set Computation over Multi-Owner Outsourced Databases. Yin Li, D. Ghosh, P. Gupta, S. Mehrotra, N. Panwar, S. Sharma. SIGMOD, 2021. 2. EnrichDB: A Database System for Progressive Data Enrichment and Query Evaluation. D. Ghosh, P. Gupta, S. Mehrotra, S. Sharma. (Under Submission 2021). 3. PIQUE: Progressive Integrated QUery Operator with Pay-As-You-Go Enrichment. D. Ghosh, R. Yus, Y. Altowim, S. Mehrotra. CoRR abs/1805.12033 (Under Submission 2021). 4. PANDA: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data. S. Mehrotra, S. Sharma, J. D. Ullman, D. Ghosh, P. Gupta, and A. Mishra. ACM TMIS, 2020. 5. Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy. D. Archer, M. August, G. Bouloukakis, C. Davison, M. Diallo, D. Ghosh, C. Graves, M. Hay, X. He, P. Laud. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 2020.

6. IoT Expunge: Implementing Verifiable Retention of IoT Data. N. Panwar, S. Sharma, P. Gupta, D. Ghosh, S. Mehrotra, N. Venkatasubramanian. CODASPY, 2020. 7. SCARF: A Scalable Data Management Framework for Context Aware Applications in Smart Environments. E. Shin, D. Ghosh, S. Mehrotra, N. Venkatasubramanian. MobiQuitous,2019. 8. Towards Accuracy Aware Minimally Invasive Monitoring (MiM). S. Ghayyur, D. Ghosh, X. He, S. Mehrotra. ACM CCS-Workshops, 2019.

9. Message of interest: A framework of location-aware messaging for an indoor environment. E. Shin, D. Ghosh, A. Gupta, G. Singh, N. Joshi, A. Kobsa. PerCom-Workshops, 2016. 10. A comparative study of different discretizations for solving bivariate aggregation population balance equation. M. Singh, D. Ghosh, and J. Kumar. Applied Mathematics and Computation, 2014. Scholarships and Achievements

Nov 2019 Recipient of UCI ICS Travel Grant for attending MobiQuitous in Houston, US. Jan 2016 Recipient of NSF Travel grant for attending PerCom’16 in Sydney, Australia. Sept 2008 Secured an All India Rank of 2783 in the IIT Joint Entrance Exam. Professional Services

I have served as a program committee member in ACM CODS-COMAD 2020. I was a reviewer in MobiQ- uitous 2020, and an external reviewer for the conferences of SIGMOD, VLDB, IEEE ICDE, and Middleware.

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