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HELLO, I'M

Muhammad Saad Amin

Working on NLP/NLG and AI

Talks about 'Data Augmentation', 'Semantic Parsing', and 'Natural Language Generation'.

PhD Scholar, University of Turin, Italy

saad amin picture.jpg

Muhammad Saad Amin

COMP-14814

PhD Scholar at Computer Science Department
University of Turin, Italy

saadamin2k13@gmail.com

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About

About

Personal Profile

I am a keen, smart working, reliable, and excellent timekeeper with a punctual and motivated mind who is able to work in a busy environment and produce high standards of work. I am an excellent team worker and am able to take instructions from all levels and build up good working relationships with all colleagues.

Career Objective

To acquire a competent environment where I can effectively contribute my skills as an NLP researcher.

Education & Experience

Education

WHAT I’VE LEARNED

2021-2024

University of Turin – Turin, Italy; Cycle-37

PhD Scholar; Computer Science

Experience

WHERE I’VE WORKED

Nov. 2020–Present

The University of Sialkot, Sialkot, Lecturer

Department of Information Technology

2018–2020

The University of Lahore – Lahore, Pakistan; Class of 2018

Master of Science; Computer Engineering

GPA: 3.83/4.0

2013–2017
Feb 2018–July 2020

The University of Lahore, Lahore, Lab Engineer

Department of Computer Engineering

University of Engineering & Technology, Taxila, Pakistan

Bachelor of Science; Computer Engineering

GPA: 3.51/4.0

Research & Thesis

PhD Research

Master's Thesis

"Data Augmantation for Neural Semantic Parsing and Natural Language Generation"

"Sign Language Recognition using Machine Learning"

Publications

  1. Muhammad Saad Amin, Xiao Zhang, Luca Anselma, Alessandro Mazzei, and Johan Bos, "Semantic Processing for Urdu: Corpus Creation, Parsing, and Generation", Submitted to ACM Transactions on Asian and Low-Resource Language Information Processing

  2. Muhammad Saad Amin, Luca Anselma, Alessandro Mazzei, "Exploring Data Augmentation in Neural DRS-to-Text Generation", Accepted in EACL 2024. 

  3. MS Amin, A Mazzei, L Anselma, "Towards data augmentation for drs-to-text generation", CEUR WORKSHOP PROCEEDINGS 3287, 141-152.

  4. Muhammad Saad Amin, Luca Anselma, Alessandro Mazzei, "The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus", 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)

  5. Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Alessandro Mazzei, Luca Anselma. Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network. Electronics. 2023; 12 (8):1904.

  6. Muhammad Saad Amin, Syed Tahir Hussain Rizvi. Sign Gesture Classification and Recognition Using Machine Learning. Cybernetics and Systems. 2022; 54 (5):1-15.

  7. Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Murad Hossain. A Comparative Review on Applications of Different Sensors for Sign Language Recognition. Journal of Imaging. 2022; 8 (4):98.

  8. Muhammad Saad Amin, Muhammad Talha Amin, Muhammad Yasir Latif, Ali Asghar Jathol, Nisar Ahmed, Muhammad Irtaza Nawaz Tarar. Alphabetical Gesture Recognition of American Sign Language using E-Voice Smart Glove. . 2020; ():1-6.

  9. Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Sameer Malik, Zaid Bin Faheem, Ammar Liaqat. Smart Wheelchair- An Implementation of Voice and Android Controlled System. . 2021;1-6.

  10. Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Sameer Malik, Muhammad Awais Yousaf, Sadaf Mehmood. An Autonomous Follow Me Platform for Carrying and Moving Objects. KIET Journal of Computing and Information Sciences. 2021; 4 (2):18-18.

  11. Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Umair Iftikhar, Sameer Malik, Zaid Bin Faheem. IoT Based Monitoring and Control in Smart Farming. . 2021:1-6.

  12. Davide Caldo, Silvia Bologna, Luana Conte, Muhammad Saad Amin, Luca Anselma, Valerio Basile, Md Murad Hossain, Alessandro Mazzei, Paolo Heritier, Riccardo Ferracini, Elizaveta Kon, Giorgio De Nunzio; "Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain"; Sci Rep 13, 4654 (2023). https://doi.org/10.1038/s41598-023-31741-2

  13. Syed Tahir Hussain Rizvi, Muhammad Yasir Latif, Muhammad Saad Amin, Achraf Jabeur Telmoudi, Nasir Ali Shah. Analysis of Machine Learning Based Imputation of Missing Data. Cybernetics and Systems. 2023.

  14. Asadullah, Murad Hossain, Sabrina Rahaman, Muhammad Saad Amin, Mst. Sharmin Akter Sumy, Yasin Ali Parh, Mohammad Amzad Hossain. Evaluation of machine learning techniques for hypertension risk prediction based on medical data in Bangladesh. Indonesian Journal of Electrical Engineering and Computer Science. 2023; 31 (3):1794-1802.

  15. Murad Hossain, Asadullah, Mohammad Amzad Hossain, Muhammad Saad Amin. PREDICTION OF DEPRESSION USING MACHINE LEARNING TOOLS TAKING CONSIDERATION OF OVERSAMPLING. Malaysian Journal of Public Health Medicine. 2022; 22 (2):244-253.

  16. N Imran, S Hameed, Z Hafeez, Z Faheem, M Waseem, U Latif, M S Amin. Image Watermarking Approach Using LSB and Laplacian Filter. Journal of Physics: Conference Series. 2021; 2129 (1):.

Skills & Languages

WHAT I BRING TO THE TABLE

Data Analysis

Content Writing & Editing

Web Designing and Development

Microsoft office Professional

Graphics Designing

AI with Machine Learning

Programming C/C++

English

Urdu

Skills & Languages
Awards & Interests

Awards

WHERE I SHINE

Italian Ministerial Scholarship (2021-2024) University of Turin, Italy

Erasmus+ Traineeship (2023) University of Groningen, The Netherlands

2nd Position in Masters in Computer Engineering (2020)

Merit-based Scholarship (2016-2017)

First position in HSSC (2011-2013)

District position in SSC (2009-2011)

Interests

OUT OF OFFICE

Love to travel

Explore Natural Resorts

Explore Latest Technologies

Cricket

Cycling

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