Asoke Datta Ph.D. student Electrical Engineering and Computer Science School of Engineering University of California, Merced 5200 N. Lake Road Merced, CA 95343 Email: adatta2 [at] ucmerced.edu Social: [LinkedIn][Facebook]

Looking for summer internships in Software Engineering/ Database Systems / Machine Learning.

News

• 08/28/2020 : Asoke's talk on his Journey from Leading University to University of California, Merced. More details on IEEE Website .
• 08/26/2019 : Asoke attended and volunteered Very Large Data Bases(VLDB) 2019. Certification here.
• 05/01/2019 : Asoke attended NorCal DB 2019 (Northern California Database Meetup).
• 08/15/2018 : Asoke started his PhD in University of California, Merced.

Research interests

• Estimating cardinality of a Database Query.
• How different type of Execution Engine(CPU/GPU etc.) impacts in overall query processing.

About

I am a 3rd year PhD student at University of California,Merced supervised by Professor Florin Rusu. I have received my BSc in Computer Science and Engineering from Leading University, Sylhet, Bangladesh in 2014. After completing by BSc, I worked for Accenture as a system engineer till Nov, 2017. You can find my resume [here].

Professional Activities

• Sub Reviewer, Scientific and Statistical Database Management Conference [SSDBM 19,20].
• External Reviewer, IEEE International Conference on Big Data.
• Member, Association for Computing Machinary.

Employments

• Graduate Research Assistant | University of California, Merced | Aug, 2018 - Present
• Graduate Teaching Assistant | University of California, Merced | Aug, 2018 - Present
• System Engineer | Accenture | Oct, 2014 - Nov, 2017

Course & Projects

• Database Implementation | Spring 2019 | Course Project (Database Sys Implementation)
  Implement database main components includes a) Catalog, b) Query Optimizer, c) Data Loader and d) Execution Engine
  tools - CPP,Lex,YACC
  
• Baseball Elimination | Fall 2019 | Course Project (Advance Algorithm)
  Find which teams have a chance to win Baseball league using MaxFlow Mincut Algorithm
  tools - CPP | code - github
• SOFC Approximation | Fall 2019 | Course Project (Parallel Computing)
  Approximate and optimize Solid Oxide Fuel Cell simulation using ML model and parallelize model training using GPU.
  tools - python,CPP,tensorflow | code - github | result - 78 percent accuracy on synthetic data.
• Autonomous Retail | Spring 2020 | Course Project (Computer Vision & Adv. Topics in Intel. Sys.)
  Tracking misplaced items in an autonomous Retail store which includes a) Event Detection b) Object Recognition.
  tools - Python, JavaScript, ML Model : PoseNet, Hogg, Method : Image Subtraction | code - github | result - Partial implementation; PoseNet accuracy 90 percent(minimal test cases); Image Classifier 70 percent accuracy (minimal test cases)

Publications

• Poster || Yesdaulet Izenov, Asoke Datta, Jun Hyung Shin, Florin Rusu. Sketch-based Join Order Selection for In-Memory Database Systems .
  Poster session presented at: NorCal DB 2019. Northern California Database Meetup; 2019 May 1, Sanfrancisco, California

Extracurricular/Hobbies

• Exploring exsiting activities
  • 6/26/2020 : Sky Diving from 18000 feet pic1 pic2