Mr. Muhammad Abbas

 
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Mr. Muhammad Abbas

Lecturer CSIT

Thar Institute of Engineering Sciences & Technology (TIEST)- A Constituent College of NED UNIVERSITY

Contact Information muhammadabbas@neduet.edu.pk +92-312-3040389



Educatiion

  • M.E-Computer Technoloy
    Beijing University of Posts and Telecommunications, China | 2018 to 2020

  • B.S-Computer Science
    Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah | 2011 to 2014

Teaching Experience

  • Lecturer
    TIEST a Constituent Collage of NED UNIVERSITY at Mithi, Tharparker | 2021 to Present

Industrial Experience

  • Software Engineer (Java2EE )
    Nizam Energy Pvt. Ltd. Karachi. | 2015 to 2018

  • Software Development Internee (Java Essential Training & Advance Level)
    Nizam Energy Pvt. Ltd. Karachi. | Feb 2015 to May 2015

Administrative Positions

  • Class Advisor at TIEST a Constituent Collage of NED UNIVERSITY
    March 2022 to Present

  • FYP supervisor at TIEST a Constituent Collage of NED UNIVERSITY
    Octember 2022 to Present

  • Internship coordinator at TIEST a Constituent Collage of NED UNIVERSITY
    August 2022 to Present

  • Computer Lab Incharge at TIEST a Constituent Collage of NED UNIVERSITY
    August 2022 to Present

  • Timetable Management (Classes, Midterm, and Examination), CS-Department at TIEST a Constituent Collage of NED UNIVERSITY
    August 2022 to Present

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Skills

  1. Web Development:
    Java (SE and 2EE), C++ Basic (R, Python, PHP), JDBC, HTML5, JavaScript, JQuery, Servlets, JSP, Bootstrap 3 & 4, Database

  2. Development Tools:
    Visual Studio Code, Jupyter Notebook, Google Colab, PyCharm, NetBeans & Eclipse IDE, CodeBlocks, R Studio, SQLYog, MySQL Workbench, Xamp, Labalme

  3. Professional Tools:
    LaTeX, Mendeley, Selenium, MS-office, Windows

  4. Tools & Competencies:
    Good Research & Teaching skills
    Possessing a creative approach to problem-solving
    Flexible with working hours and having excellent interpersonal skills

Scholarship/Awards

  • President Scholarship for Master Program
    Beijing University of Posts and Telecommunications | 2018 to 2020

Course Taught

  1. Operating System
  2. Theory of Automata and Formal Languages
  3. Data Base Management System
  4. Programming Fundamentals
  5. Theory of Programming Languages
  6. Object Oriented Programming (C++)
  7. Web Engineering

Research Interest

  1. Machine Learning and Deep Learning 
  2. Computer Vision and Face & Pattern Recognition
  3. Big Data, Deep Mining and Data Analysis

Publications

  1. Multinomial Naive Bayes Classification Model for Sentiment Analysis.
    Abbas, M., Memon, K. A., Jamali, A. A., Memon, S., & Ahmed, A. (2019). Multinomial Naive Bayes classification model for sentiment analysis. | IJCSNS International Journal of Computer Science and Network Security, 19(3), 62.

  2. An Improved Weighted Base Classification for Optimum Weighted Nearest Neighbor Classifiers.
    Abbas M, Memon KA, Ajebesone EF, Usaid M, Bhutto ZA. An Improved Weighted Base Classification for Optimum Weighted Nearest Neighbor Classifiers. | EAI Endorsed Transactions on Scalable Information Systems., 2020; 7 (27). doi: 10.4108/eai.13-7-2018.163339.

  3. LEACH Robust Routing Approach Applying Machine Learning.
    Ali B, Mahmood T, Abbas M, Hussain M, Ullah H, Sarker A, Khan A. LEACH Robust Routing Approach Applying Machine Learning. | IJCSNS International Journal of Computer Science and Network Security, 2019 Jun;19(6):18-26.

  4. The Design of Wireless Portable Electrocardiograph Monitoring System Based on ZigBee.
    Memon S, Soothar KK, Memon KA, Magsi AH, Laghari AA, Abbas M, Memon Ain N. The Design of Wireless Portable Electrocardiograph Monitoring System Based on ZigBee. | EAI Endorsed Transactions on Scalable Information Systems. 2020; 7 (28). doi: 10.4108/eai.13-7-2018.164558.

  5. A Visualization Based Analysis on Dynamic Bandwidth Allocation Algorithms for Optical Networks.
    Memon Ain N, Memon KA, Abbas, M., Hussaini NN, Zulifqar AB, Soothar KK. A Visualization Based Analysis on Dynamic Bandwidth Allocation Algorithms for Optical Networks. | EAI Endorsed Transactions on Scalable Information Systems., 2020; 7 (28). DOI: 10.4108/eai.13-7-2018.164665.

  6. Battery life Checking by Applying Pearls Message Passing.
    Bhutto ZA, Hakro DN, Memon M, Memon Ain N, Memon KA, Abbas M, Hameed M, Battery life Checking by Applying Pearls Message Passing.| Sindh University Research Journal (Science Series) Vol. 52 (02) 191-198 (2020).

  7. Implementation of scalable and energy efficient WSN platform for IoT applications
    Uqaili JA, Memon S, Hafiz MB, Dehraj D, Javed M, Hussain M, Abbas M, Implementation of scalable and energy efficient WSN platform for IoT applications. | Indian Journal of Science and Technology, VOL. 13, No. 36, pp. 3725-3737, OCT, 2020. doi: 10.17485/IJST/v13i36.1263.

  8. M. High Order Dual Polarization Modulation Formats for Coherent Optical Systems.
    Siddiqui, A., Memon, K. A., Mohammadani, K. H., Memon, S., Hussain, M., & Abbas, M. High Order Dual Polarization Modulation Formats for Coherent Optical Systems. | In 2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC) IEEE (pp. 79-82).

  9. The impact of economic indicators on an international financial diversification: a long term investment approach.
    Hassan Mari, Arifa Bano Talpur, Abbas M & Muhammad Adil Keerio (2022). The impact of economic indicators on an international financial diversification: a long term investment approach. | Asia-Pacific Journal of Accounting & Economics, DOI: 10.1080/16081625.2022.2030772.