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Dr. Muhammad Asif Ra...

HEC Approved PhD Supervisor | Assistant Professor (Computer Science) at the Department of Computer Science, Fatimah Jinnah Women University, Rawalpindi, Pakistan.

Basic Info
  • Career Track: Data Science >> Data Visualization / Business Intelligence
  • Public Username: Dr. M Asif Razzaq
  • LinkedIn: View
About

A self-directed researcher with 19+ year of industry / academic experience in the field of data management, ETL operations, OBI dashboard designs, data analytics, reporting processes and deployments. Demonstrated success and achieved several objectives in the field of Context-awareness computing, Unobtrusive Human Activity Recognition using Thermal Vision Sensors, Semantic Web Technologies, Data Fusion, and Semantic Data Imputation techniques. Expertise in System Engineering, Business Intelligence, Software development, Requirement Analysis, Project Management, Proposal Writing, Research Article Writing, Patent Writing, Standards Writing and techniques to deal with any of challenging research analysis and comparative studies.

Skills
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  • Self-Searcher
  • Go-Getter
  • Achiever

Experiences

  • Assistant Professor (Computer Science)

    14 Feb 2023 - Currently Working 2 Years

    Fatima Jinnah Women University, Rawalpindi, Pakistan . Permanent

  • Assistant Professor (Computer Science)

    01 Feb 2022 - Currently Working 3 Years

    Fatima Jinnah Women University Rawalpindi

  • Assistant Professor (Artificial Intelligence)

    01 Sep 2021 - 01 Feb 2022 5 Months

    Iqra University (Official)

  • Visiting Researcher

    01 Dec 2019 - 01 Apr 2020 4 Months

    Ulster University

  • Teaching Assistant (Web Engineering)

    01 Mar 2019 - 01 Jun 2019 3 Months

    Kyung Hee University

  • Research Assistant

    01 Mar 2015 - 01 Mar 2021 6 Years

    Kyung Hee University

Education

  • PHD/Doctorate - Computer Sciences

    February, 2015 - March, 2021

    Grade: A

    NA

  • Doctor of Philosophy - PhD - Others

    January, 2015 - June, 2021

    Kyung Hee University

  • Master of Science - MS - Others

    January, 2010 - June, 2014

    SEECS, National University of Sciences and Technology (NUST), Pakistan

  • Master's degree - Others

    January, 2004 - June, 2006

    Federal Urdu University of Arts, Science & Technology, Islamabad.

Courses

  • Oracle Certified Developer

    IAT, Islamabad

    01 Jan 2000 - 01 Aug 2000

Awards

  • PhD Scholarship

    03 Mar 2015

    Issued By: Kyung Hee University, Global Campus, South Korea.

Publications

  • Check Complete List of Patents, Journals and Conferences.

    Research Area: Deep Learning, Machine Learning, Semantic Web, Artificial Intelligence

    01 May 2015

    Read Now

  • A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions

    Research Area: -

  • A Novel Mutual Trust Evaluation Method for Identification of Trusted Devices in Smart Environment

    Research Area: -

  • CbI-M: Context-based Intervention Methodology for Rehabilitation of Persons with NCDs

    Research Area: -

  • Towards User-Centric Intervention Adaptiveness: Influencing Behavior-Context based Healthy Lifestyle Interventions

    Research Area: -

  • uMoDT: An unobtrusive Multi-occupant Detection and Tracking using robust Kalman filter for real-time activity recognition

    Research Area: -

  • On computing critical factors based healthy behavior index for behavior assessment

    Research Area: -

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

    Research Area: -

  • SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition

    Research Area: -

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

    Research Area: -

  • UnSkEm: Unobtrusive Skeletal-based Emotion Recognition for User Experience

    Research Area: -

Patents

  • Check Complete list of Patents

    Office: Korean Patent Authority | Application No: 00000101101 | Status: Issued

Languages

  • English

    Speaking: Advanced | Listening: Advanced | Reading: Advanced | Writing: Advanced

Interests

  • Pervasive Computing
  • Human Activity Recognition
  • Semantic Web
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
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