プロフィール詳細

プロジェクトを作成

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Dr. Shubhashis Kumar S.に依頼

Canada

Freelance Data Analyst. 10+ years of experience in Artificial Intelligence & Data Mining. Expert in R, Python, & Java.

プロフィール概要

I have 10+ years of experience in Artificial Intelligence, Machine Learning, Data Mining and Algorithms. I am expert in R, Python, and Java. I have published around 25 international research articles including books, journals, conference papers, and theses. Currently I am working on Saskatchewan data fusion projects.

専門分野

• ★ Data Science
• ★ Data Analysis
• ★ Machine Learning
• ☆ Database Management
• ☆ Algorithm Design
• ☆ Data Mining
• ☆ Artificial Intelligence
• ☆ Java

サービス

• Writing
• Research
• Data & AI

Writing Technical Writing

Research Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

職務経験

Research Assistant, Department of Computer Science

University of Regina, Saskatchewan, Canada

10月 2017 - 現在

Intern

ISM Regina, Saskatchewan, Canada

10月 2017 - 1月 2018

Sessional Lecturer, Teaching Assistant, Project Assistant

University of Regina, Saskatchewan, Canada

1月 2012 - 9月 2017

Lecturer, Department of Computer Science & Engineering

University of Engineering & Technology, Rajshahi, Bangladesh

6月 2008 - 12月 2011

Senior Software Engineer

Greenland Information Technology, Dhaka, Bangladesh

6月 2007 - 6月 2008

学歴

PhD in Computer Science

University of Regina, Saskatchewan, Canada

1月 2014 - 9月 2017

MSc in Computer Science

University of Regina, Saskatchewan, Canada

1月 2012 - 11月 2013

BSc (Engg) in Computer Science & Engineering

University of Engineering & Technology, Rajshahi, Bangladesh

4月 2003 - 3月 2007

認定資格

• 認定資格の詳細は未入力です。

出版物

BOOK CHAPTER

A multi-attribute auction mechanism based on conditional constraints and conditional qualitative preferences.

Considering multiple instances of items in combinatorial reverse auctions.

Winner determination in combinatorial reverse auctions.

Winner Determination in Multi-attribute Combinatorial Reverse Auctions.

JOURNAL ARTICLE

A multi-attribute auction mechanism based on conditional constraints and conditional qualitative preferences.

Evolutionary techniques for reverse auctions.

Meeting peak electricity demand through combinatorial reverse auctioning of renewable energy.

Multi-Objective Optimization in Multi-Attribute and Multi-Unit Combinatorial Reverse Auctions.

BOOK

An Approach to Solve MMKP: Using Genetic Algorithm.

Iris Recognition: Matrix Index Distance Method.

CONFERENCE PAPER

An approach to solve winner determination in combinatorial reverse auctions using genetic algorithms.

Combinatorial reverse electricity auctions.

A Genetic Algorithm Based Approach for Solving Optimal Power Flow Problem.

Solving Multidimensional Multiple Choice Knapsack Problem by Genetic Algorithm & Measuring its Performance.

Winner Determination in Multi-Objective Combinatorial Reverse Auctions.

Winner Determination in Multi-Objective Combinatorial Reverse Auctions.

CONFERENCE POSTER

Evolutionary Techniques for Multiple Instances of Items in Combinatorial Reverse Auctions.

Evolutionary Techniques for Multiple Instances of Items in Combinatorial Reverse Auctions.

Qualitative Preference Elicitation in a MAUT-Based Reverse Auction System.

DISSERTATION THESIS

Evolutionary Winner Determination in Advanced Combinatorial Reverse Auctions.

Evolutionary Techniques for Multiple Instances of Items in Combinatorial Reverse Auctions.

Solving Multi-Dimensional Multiple-Choice Knapsack Problem by Genetic Algorithm & Comparing With Some Other Methods.

CONFERENCE ABSTRACT

Multi-Objective Optimization in Multi-Attribute Combinatorial Reverse Auctions.