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Dr. Sharaf Hussain

Assistant Professor
Iqra University

Education

Ph.D. (Computer Science)

M.S  (Computer Networks & Communications)

M.Sc  (Electronics)

B.Sc.  (Electronics)

Research Interests

  • Artificial Intelligence
  • Data Science and Analytics
  • Natural Language Processing
  • Algorithms, and Programming.

Biography

I have a Ph.D. in Computer Science and 24+ years of teaching experience at various universities in Pakistan including IBA (Karachi), Bahria University, Iqra University, NUCES FAST, Isra University, KIIT, and UIT University (Karachi).
Research and teaching are both my passions. Artificial Intelligence is my area of research, currently, I am researching the real implementation of the human way of thinking in machines using different techniques of AI such as Transfer Knowledge, Reinforcement Learning, and the combination of Machine Learning and Automated Reasoning.
I have also developed solutions to various AI problems. some are listed below,

1. MathSearch – An AI based system for searching math formulae:
MathSearch is an AI based system that searches mathematical information fromWorldWide Web(WWW).

2. Cognitive AI Model – Implementation of Human Cognitive Process into Machines :
Advanced AI draws inspiration from cognitive theories of human decision-making. The premise is that if we gain insights about the causes of some human capabilities that are still lacking in AI (for instance, adaptability, generalizability, common sense, and causal reasoning), we may obtain similar capabilities in an AI system by embedding these causal components.

3. LATEX to MathML Converter – Converts LATEX math formuale into Mathematical Markup
Language (MathML):
The LATEX to MathML converter transforms LATEX math equations into MathML format using a rulebased technique.

4. Predicting Breast Cancer Survivability:
This research uses breast cancer data from the Surveillance, Epidemiology, and End Results (SEER) dataset’s (1973-2010), Survivability predictions are proposed using two different AI techniques.

5. AI Based Video Subtitle Generation:
This application is designed for generating subtitle for the recorded audios or videos.

6. Hand Written Math transformer:
An AI based plugin that converts handwritten/image math equation into LATEX and MathML format. One can integrate this plugin with math search applications for searching equations on World Wide Web.

7. Urdu Chatbot for University Students:
This project introduces a versatile Urdu chatbot employing advanced deep learning techniques like Long Short-Term Memory (LSTM) and attention mechanisms. It is specially designed for university students to perform chating on university related topics.

My favorite teaching areas are,
Artificial Intelligence, Data Science and Analytics, Natural Language Processing, Algorithms, and Programming.

Publications

  • Sharaf Hussain, Nasiruddin, Shakeel Khoja, and Parkash Lohana. Math expression image transfaromer (submitted). Journal of Artificial Intelligence and Soft Computing Research, Vol. 13(4), 2023.
  • Sharaf Hussain, Samita Bai, and Shakeel A. Khoja. Rule Based Conversion of LATEX Math Equations into Content MathML (CMML). J. Inf. Sci. Eng., 36(5):1021–1034, 2020.
  • Sharaf Hussain and Shakeel A. Khoja. Retrieval of mathematical information with syntactic and semantic structure over web. J. Inf. Sci. Eng., 36(1):75–89, 2020.
  • S. Hussain, S. Bai, and S. Khoja. Content MathML(CMML) conversion using LATEX Math Grammar (LMG). In 2019 7th International Conference on Smart Computing Communications (ICSCC), pages 1–5, 2019.
  • Samita Bai, Sharaf Hussain, and Shakeel A. Khoja. Linked data live exploration with complete results. In Emmanouel Garoufallou, Fabio Sartori, Rania Siatri, and Marios Zervas, editors, Metadata and Semantic Research – 12th International Conference, MTSR 2018, Limassol, Cyprus, October 23-26, 2018, Revised Selected Papers, volume 846 of Communications in Computer and Information Science, pages 120–126. Springer, 2018.
  • S. Hussain, S. Bai, and S. Khoja. Efficient applications for mathematical resources on web. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pages 968–973, March 2016.
  • S. Bai, S. Hussain, and S. Khoja. A hybrid linked data query execution approach using backlinks. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pages 1936–1940, March 2016.
  • S. Hussain, N. Z. Quazilbash, S. Bai, and S. Khoja. Reduction of variables for predicting breast cancer survivability using principal component analysis. In 2015 IEEE 28th International Symposium on Computer-Based Medical Systems, pages 131–134, 2015.
  • S. Bai, Q. Rajput, S. Hussain, and S. A. Khoja. Faculty performance evaluation system: An ontological approach. In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), pages 117–124, 2014.
  • Sharraf Hussain, Shakeel Ahmed Khoja, Nazish Hassan, and Parkash Lohana. Effect of schedule compression on project effort in COCOMO II model for highly compressed schedule ratings. Communications in Computer and Information Science, Springer, 20(1):202–214, 2008.
  • S. Hussain. Virtual hard drive – basic implementation of a distributed file system. In International Multi Topic Conference, 2002. Abstracts. INMIC 2002., pages 81–81, December 2002.

IU ORIC is thrilled to announce that 4 innovative packaging designs from IU have been granted design patents by the Intellectual Property Organization of Pakistan (IPO). A special endorsement to Dr. Baber Khan from the Media Sciences Department for his exceptional contributions.

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