Biography

Usman Akhtar is a Ph.D. scholar at UCLab, Kyung Hee University(KHU), South Korea. He is majoring in Computer Science & Engineering with a focus on enabling cloud for multimodal data acquisition, synchronization, and curation. He has published numerous journal and conference papers and has been recognized for excellence in research, software development, and outreach.

Interests

  • Linked Open data
  • Distributed System
  • Data Archiving
  • Cloud Computing

Education

  • PhD in Computer Science & Engineering, 2020

    Kyung Hee University

Skills

elasticstack

Distributed System

80%

gradle

Big Data Development

70%

python

High Level Programming

60%

Experience

 
 
 
 
 

Guest Researcher

Halsmtad University

Aug 2018 – Jan 2019 Sweden

Responsibilities include:

  • This visit is part of a European project entitled REMIND - The use of computational techniques to improve compliance to reminders within smart environments.
  • During this visit, I have participated in a number of activities targeting knowledge exchange and creation together with researchers from Halmstad University.
 
 
 
 
 

Full Stack Engineer

Walnut Media

Feb 2015 – Jul 2015 Lahore

Responsibilities include:

  • Creating and Customization all company websites.
  • Work on the on-going development features from the client.
  • Overseeing the development of several products and platforms.
 
 
 
 
 

Associate Researcher

Ubiquitous Computing Lab, Kyung Hee University

Jan 2015 – Present South Korea

Responsibilities include:

  • Development of mining minds core technology exploiting personal big data.
  • Role: Big Data Acquisition and persistence.
 
 
 
 
 

Assistant Software Engineer

PLUMgrid Inc

May 2014 – Jan 2015 Islamabad

Responsibilities include:

  • Built an App using Angularjs and write a unit tests.
  • Perform Unit Testing using selenium web driver.
  • Deploying and added Code Coverage features.

Projects

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Intelligent Medical Platform (IMP)

Intelligent medical platform global bridge research center aims to develop intelligent medical platform fusion technology.

Mining Minds - a novel platform for health personalized services

Mining Minds is a novel platform aimed at comprehensively mining human’s daily life data.

Recent Publications

Quickly discover relevant content by filtering publications.

Adaptive Cache Replacement in Efficiently Querying Semantic Big Data

In this paper, we address the problem of accelerating the query answering in semantic big data, such as Linked Data. Most importantly, performance factor is the cache replacement policy to scale the semantic big data.

A cache-based method to improve query performance of linked Open Data cloud

The proliferation of semantic big data has resulted in a large amount of content published over the Linked Open Data (LOD) cloud. Semantic Web applications consume these data by issuing SPARQL queries.

Medical Instructed Real-Time Assistant for Patient with Glaucoma and Diabetic Conditions

Virtual assistants are involved in the daily activities of humans such as managing calendars, making appointments, and providing wake-up calls. They provide a conversational service to customers around-the-clock and make their daily life manageable. With this emerging trend, many well-known companies launched their own virtual assistants that manage the daily routine activities of customers.

The Intelligent Medical Platform A Novel Dialogue-Based Platform for Health-Care Services

The proposed Intelligent Medical Platform is a dialoguebased medical decision-making system that provides medical coaching and recommendation services, based on incremental learning methodology.

The Impact of Big Data In Healthcare Analytics

No doubt that we are living in the era of Big Data, where we are noticing the expansion of smart healthcare devices. The main obstacles for the Healthcare platform researchers in choosing the right Big Data tool to process unstructured data..

Contact

  • +82-10-3130-8894
  • Office(Room 309), Dept. of Computer Engineering, Kyung Hee University, Yongin-Si, Gyeonggi-do 446-701
  • Enter Computer Science Building and take the stairs to Office 309 on Floor 3
  • Monday 10:00 to 04:00
    Friday 09:00 to 04:00
  • DM Me