Mohiuddin Abdul Qader Department of Computer Science and Engineering 363 Winston Chung Hall University of California at Riverside Riverside, CA 92521

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I am Mohiuddin Abdul Qader. I am now working at eBay Inc. in developing (research, designing and coding) massively scalable distributed storage and next-generation geo-distributed database platform, mostly focusing on architecture design, consensus-based replication and data indexing of distributed services on Kubernetes (ebay tess.io).

I recently graduated with a Doctorate degree from the Database Lab at UC Riverside under the supervision of Dr. Vagelis Hristidis! My PhD thesis focused on I/O optimization in Big Data Storage Systems. Most of my work emphasizes on Log Structured Merge (LSM) tree based storage systems.

Background

I was born and raised in Dhaka, Bangladesh. I obtained my Bachelors in Computer Science and Engineering from Bangladesh University of Engineering and Technology. After graduation, I joined Reve System Ltd. as a Software Engineer. I completed my masters in Computer Science in 2015 from University of California, Riverside.

I did summer internship at VMware Inc. vSphere Storage team and vCenter R&D team in 2015 and 2016 respectively and at Ebay Research for Summer 2017.

Research Interests

Big Data Stores, Distributed Systems, Cloud Storage, Information Retrieval and Search Engine

Work Experience

• Ebay Inc., San Jose, USA (July 2020 - Current) - Sr. Applied Researcher/Staff Engineer, Core Data Infrastructure


• Ebay Inc., San Jose, USA (September 2018 - June 2020) - Applied Researcher, Platform Architecture & Data Infrastructure


• Ebay Inc., San Jose, USA (Summer 2017) - PhD Research Intern, NextGen Data Platform Team


• VMware Inc., Palo Alto, USA (Summer 2016) - Member of Technical Intern, vCenter Team


• VMware Inc., Palo Alto, USA (Summer 2015) - Member of Technical Intern, vSphere Storage Team


• Reve Systems Limited, Dhaka, Bangladesh (2012 - 2013) - Software Engineer

Education

Ph.D. in Computer Science (2013-2018)
University of California, Riverside, CA, USA
Advisor: Dr. Vagelis Hristidis


M.S. in Computer Science (06/2015)
University of California, Riverside, CA, USA
Advisor: Dr. Vagelis Hristidis


B.S. in Computer Science and Engineering, (04/2012)
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Advisor: Dr. Masud Hasan

Publications

• Mohiuddin Abdul Qader, Tariq Mustafa, Ravi Nagarjun Akella, Sami Ben-Romdhane. Neuron: Towards Designing an Efficient and Fault-Tolerant Control Plane for Cloud Storage. In Submission.


• Qizhong Mao ^* , Mohiuddin Abdul Qader ^* , Vagelis Hristidis. Comprehensive Comparison of LSM Architectures for Spatial Data. IEEE International Conference on Big Data 2020. [ ^* Equal Contribution]


• Jung-Sang Anh, Mohiuddin Abdul Qader, Woon-hak Kang, Hieu Nguyen, Guogen Zhang, Sami Ben Ramdhane. Jungle: Towards Dynamically Adjustable Key-Value Store by Combining LSM-Tree and Copy-On-Write B+-Tree. In 11th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage) 2019


• Mohiuddin Abdul Qader, Shiwen Cheng, Vagelis Hristidis. A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases. ACM SIGMOD International Conference on Management of Data (SIGMOD) 2018


• Mohiuddin Abdul Qader, Vagelis Hristidis. High-throughput Publish/Subscribe on top of LSM-based Storage. Distributed and Parallel Databases Journal (DAPD) 2018


• S Jacobs, MYS Uddin, Y Wu, M Carey, V Tsotras, N Venkatasubramanian, Mohiuddin Abdul Qader, V Hristidis, S Safir, P Kaul, X Wang, W Amjad, Y Li. A BAD Demonstration: Towards Big Active Data. Proceedings of the VLDB Endowment (2017)


• Mohiuddin Abdul Qader, Vagelis Hristidis. DualDB: An Efficient LSM-based Publish/Subscribe Storage System. International Conference on Scientific and Statistical Database Management (SSDBM) 2017 (Acceptance Rate: 23%)


• Mohiuddin Abdul Qader, Sajjadur Rahman, Masud Hasan. Structured Web Search in Small Domain. In Proceedings of Intl. Conf. on Computer and Information Technology (ICCIT) 2014 (Acceptance Rate: 32%)

Research Projects

• Efficient Pub/Sub Storage Mangaement for Big Data


• Secondary Indexing on Key-Value Stores


• ASTERIX: A Highly Scalable Parallel Platform for Semistructured Data Management and Analysis


• Making Big Data Active: From Petabytes to Megafolks in Milliseconds

My Full list of Projects can be found here.

Activities

• External Reviewer:
  SIGKDD('16, '15, '18), VLDB('15), SIGMOD('16, '15, '18), CIKM ('16), ICDE('17, '18), WSDM('17)

Teaching Assistant

• CS 172: Introduction to Information Retrieval, (Winter 2015, Fall 2015)
  


• CS 179G: Project in Computer Science, Bigdata Analysis, (Spring 2016, Winter 2017)


• CS 242: Information Retrieval & Web Search, (Winter 2018)

Talks

• NuData Platform: Geo-distributed, highly available, highly scalable data platform at eBay., SIGMOD 2019, July 2019


• Design an Efficient Paxos-based Replication Engine for Cloud Block Storage., eBay Amplify 2019, April 2019
  


• A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases., SIGMOD 2018, June 2018
  


• DualDB: An Efficient LSM-based Publish/Subscribe Storage System, SSDBM 2017, June 2017
  


• Efficient Support for High-Throughput Continuous Lookup Queries on LSM-based Databases, UC Irvine, October 2016
  


• Efficient Secondary Attribute Lookup in Key Value Stores, Teradata, March 2015

Students Mentored

• Fan Wu , (Bachelors at UCR), AsterixDB, 2018.


• Yawei Li, (Masters at UCR), Big Active Data Demonstration on AsterixDB, 2017.
  

Misc

• I'm a BUETian!


• Take a look at my Beautiful Bangladesh.