Profile

Prof. Dr. Shahidul Islam Khan joined Presidency University as Professor and Head of the Department of Computer Science and Engineering (CSE) at the beginning of 2024. He holds a Ph.D. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). With extensive academic and research experience, Dr. Khan has been a driving force in the development of computer science education and research in Bangladesh.

His research interests include Medical Informatics, Machine Learning, Data Mining, Artificial Intelligence, Information Security and Software Engineering. He has published numerous peer-reviewed papers and is widely recognized for his contributions to technology and education. Notably, he was ranked among the top 5% scientists worldwide.

• Ph.D. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), February 2020. CGPA 3.67 (1st Class) on a scale of 4. At BUET in post-graduation programs, 90% Mark is equivalent to GPA 4.
• M.Sc. Engineering in Computer Science and Engineering (CSE) fromBangladesh University of Engineering and Technology (BUET), 2011. CGPA 3.08 (1st Class) on a scale of 4.
• B.Sc. Engineering in Computer Science and Engineering from Ahsanullah University of Science and Technology (AUST), Dhaka in 2003. CGPA 3.779 (1st Class) on a scale of 4. Appeared in the Dean’s list of honors.
• Higher Secondary School Certificate from Notre Dame College, Dhaka in 1998. First* Division with 801 marks in 1000 marks.
• Secondary School Certificate from B.L. Govt. School, Sirajganj in 1996. First* Division with 853 marks in 1000 marks.

• Professor, Dept. of CSE, Khwaja Yunus Ali University (KYAU), Sirajganj from June 12, 2023, to May 23, 2024.
• Professor, International Islamic University Chittagong (IIUC): Applied on October 2022. Approved in the Syndicate meeting held on August 12, 2023 with effect from 1st March 2023. Did not joined though.
• Associate Professor, Dept. of CSE at International Islamic University Chittagong (IIUC) from February 17, 2016, to June 11, 2023.
• Assistant Professor, Dept. of CSE at International Islamic University Chittagong (IIUC) from November 14, 2010, to February 16, 2016.
• Lecturer of CSE in the Department of EEE at International Islamic University Chittagong from August 18, 2007, to November 13, 2010.
• Lecturer, Department of CSE at Dhaka City College (DCC), Dhaka from April 22, 2007, to August 17, 2007. Main responsibility was to teach CSE courses for a 4-year B.Sc. (Hon’s.) in the CSE program under the National University.
• Lecturer, Department of CSE of Ahsanullah Institute of Information and Communication Technology (AIICT), Dhaka from March 25, 2004, to April 21, 2007. Main responsibility was to teach CSE courses for 4-year B.Sc. (Hon’s.) in the CSE program under the National University.
• Adjunct Lecturer in the Department of Computer Science and Engineering (CSE) of Ahsanullah University of Science and Technology (AUST), Dhaka from October 2004 to September 2007

Selected Publications

1. Comparative Analysis on Real-Time Hand Gesture and Sign Language Recognition Using Convexity Defects and YOLOv3. Md. Khaliluzzaman, Khadijatul Kobra, Shabnaj Liaqat, Shahidul Islam Khan. 2024.
   The study compares methods for real-time recognition of hand gestures and sign language, contributing to assistive technologies.
2. Predicting the Level of Autism and Improvement Rate from Assessment Dataset Using Machine Learning Techniques. Shahidul Islam Khan, Rashid Al Shafee, Rakibul Huda, Fahmida Islam Chowdhury. 2023.
   This study employs machine learning algorithms to predict autism levels and improvement rates from assessment data, enhancing early diagnosis and personalized intervention.
3. Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market. Shahidul Islam Khan, Abir Bin Ayub Khan, Abu Sayed Latiful Haque. 2023.
   The paper presents a transformer-based deep learning approach to predict stock prices in Bangladesh, offering improved accuracy over traditional forecasting models.
4. Emotion Detection from Multilingual Text and Multi-Emotional Sentences Using Different NLP Feature Extraction Techniques and ML Classifiers. Shahidul Islam Khan, Faisal Bin Aziz, Md Misbah Uddin Romat. 2022.
   This research explores multilingual emotion detection using NLP and machine learning techniques, contributing to advancements in natural language understanding.
5. A Novel Technique for Predicting the Optimum Time for Reallocating Fragments in MCRUD Based DDBS Using Machine Learning. Shahidul Islam Khan, Md. Yeasin Al Azad, Mohammad Jonayed. 2022.
   This study introduces a machine learning-based method to predict the optimal timing for fragment reallocation in distributed databases to improve efficiency.
6. Exploiting Diverse Contextual Features Through Transformers for Detecting Informative Tweets. Abu Nowhash Chowdhury, Shawon Guha, Nurul Amin, Shahidul Islam Khan. 2022.
   The paper leverages transformer models to detect informative tweets using contextual features, aiding information discovery during events.
7. Predictive Analysis on University Dropout Rate of Bangladesh in COVID-19. Mia Hossain, Shams Bin Md. Shamim Azad, Md Labib Hossen, Shahidul Islam Khan, Abdul Kadar Muhammad Masum. 2022.
   This research analyzes dropout trends during COVID-19 in Bangladesh, using predictive analytics to inform education policy and retention strategies.
8. A Framework to Establish a Rule-Based Specialized Dropout Prevention Scheme. Sheikh Arif Ahmed, Md Aref Billah, Abdullah Al Noman, Shahidul Islam Khan. 2020.
   This paper proposes a rule-based framework to identify and support at-risk students, aiming to reduce dropout rates in higher education.
9. A Machine Learning Approach to Performance and Dropout Prediction in Computer Science: Bangladesh Perspective. Sheikh Arif Ahmed, Md Aref Billah, Shahidul Islam Khan. 2020.
   The study applies machine learning to predict academic performance and dropout likelihood among computer science students in Bangladesh.
10. Hybrid Feature Selection Algorithm to Support Health Data Warehousing. Md. Badiuzzaman Biplob, Shahidul Islam Khan, Galib Ahasan Sheraji, Jubayed Ahmed. 2020.
    This research presents a hybrid feature selection method to improve health data warehousing and support efficient data mining.
11. Knowledge Discovery from Mental Health Data. Shahidul Islam Khan, Ariful Islam, Taiyeb Ibna Zahangir, Abu Sayed Latiful Haque. 2020.
    The paper explores knowledge discovery techniques applied to mental health data, supporting improved clinical decision-making and mental health care.
12. SICE: An Improved Missing Data Imputation Technique. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
    Journal of Big Data. 2020.
    This paper introduces SICE, a novel method for imputing missing data, enhancing the accuracy of data analysis in large datasets.
13. A Privacy-Preserving National Clinical Data Warehouse: Architecture and Analysis. Md. Raihan Mia, Abu Sayed Md. Latiful Hoque, Shahidul Islam Khan, Sheikh Iqbal Ahamed. Smart Health, 2021.
    The study presents an architecture for a national clinical data warehouse that ensures patient privacy.
14. Improving Healthcare Services of Community Clinics Using Machine Learning Techniques. Shahidul Islam Khan, Arman Shaharia, Nazmul Islam, Md Monirul Islam, Abu Sayed Md. Latiful Hoque. Proceedings of the 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET).
    The paper explores the application of machine learning to enhance healthcare services in community clinics.
15. Supporting the Treatment of Mental Diseases Using Data Mining. Shahidul Islam Khan, Ariful Islam, Akther Hossen, Taiyeb Ibna Zahangir, Abu Sayed Md. Latiful Hoque. Proceedings of the 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET).
    This research investigates the use of data mining techniques in supporting mental health treatment.
16. Health Data Integration with Secured Record Linkage: A Practical Solution for Bangladesh and Other Developing Countries. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. Proceedings of the 2017 International Conference on Networking, Systems and Security (NSysS).
    This work proposes a secure method for integrating health data, addressing challenges specific to developing countries.
17. Digital Health Data: A Comprehensive Review of Privacy and Security Risks and Some Recommendations. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. Computer Science Journal of Moldova, 2016.
    The study provides an in-depth review of privacy and security challenges in digital health data, offering recommendations to mitigate associated risks.
18. Development of National Health Data Warehouse for Data Mining. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. Database Systems Journal, 2015.
    This paper discusses the creation of a health data warehouse to facilitate data mining for healthcare improvements.
19. A New Technique for Database Fragmentation in Distributed Systems. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. International Journal of Computer Applications, 2010.
    The authors propose a novel method for database fragmentation to enhance performance in distributed systems.

For a full list of publications, visit here.

• Health Informatics
  Application of data science and information systems to improve healthcare delivery, electronic health records, and national health databases.
• Machine Learning & Artificial Intelligence
  Development of intelligent systems to support healthcare, disease prediction, assistive technologies, and public service enhancement.
• Data Mining & Big Data Analytics
  Techniques for extracting meaningful patterns from large datasets, particularly in healthcare and social applications.
• Information Privacy and Security
  Research on privacy-preserving data mining, secure health data integration, and ethical handling of sensitive personal data.
• Distributed Systems and Databases
  Design and optimization of distributed database systems, including fragmentation and performance enhancement techniques.
• Assistive Technologies
  Use of AI and machine learning to develop technologies that support independent living for the elderly and people with disabilities.
• ICT for Development (ICT4D)
  Leveraging technology to address societal issues, especially in developing countries like Bangladesh.

Achievements

• Ranked in the Top 5% of Scientists Worldwide Recognized by the AD Scientific Index, which evaluates researchers globally based on academic performance and impact.
• Top 3% Computer Scientist in Bangladesh. Among leading experts in computer science nationally, reflecting his influence and contribution to the field.
• Published Nearly 100 Research Papers. Featured in internationally reputed journals and conferences, including top-tier publications like the Journal of Big Data (Springer Nature).
• Pioneer of the Data Science Research Group in Bangladesh. Founded one of the first national-level groups focused on data analytics and health informatics, instrumental in shaping Bangladesh’s research landscape in these areas.

🥇 Awards

• Outstanding Research Award
  Awarded by the International Islamic University Chittagong for distinguished contributions to research.

• Best Paper Awards

• From Elsevier’s Smart Health Journal – for exceptional research in health informatics and smart healthcare technologies.

• From IEEE International Conferences – recognizing excellence in academic and applied research.

• Doctoral Fellowship Award
  Conferred by the ICT Division of the Government of Bangladesh – a prestigious national award supporting advanced research and doctoral studies.

Leadership in Research

• Dean of the School of Engineering, Presidency University
  Driving academic leadership and fostering interdisciplinary research in computer science and engineering.
• Head of the Innovation Lab at Presidency University
  Directs cutting-edge research in:
  • Data Science
  • Big Data
  • Information Privacy
  • Health Informatics
  • Machine Learning

2020

• Shahidul Islam Khan
  Session Co-Chair, Algorithm Track
  23rd International Conference on Computer and Information Technology (ICCIT 2020), December 19–21, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.

2019

• Sheikh Arif Ahmed, Shahidul Islam Khan – A Machine Learning Approach to Predict Engineering Students at Risk of Dropout and Factors Behind: Bangladesh Perspective. Conference Presentation, July 2019.

• Md. Kalim Amzad Chy, Sheikh Arif Ahmed, Md. Ali Haider Doha, Shahidul Islam Khan – Social Media User’s Safety Level Detection through Classification via Clustering Approach. Conference Presentation, July 2019.

2018

• Shahidul Islam Khan, Arman Shaharia, Nazmul Islam, Abu Sayed Latiful Haque – Improving Healthcare Services of Community Clinics Using Machine Learning Techniques. Conference Presentation, October 2018.

• Md. Badiuzzaman Biplob, Galib Ahasan Sheraji, Shahidul Islam Khan – Comparison of Different Extraction Transformation and Loading Tools for Data Warehousing. Conference Presentation, October 2018.

2017

• Mohammad Sheikh Ghazanfar, Shahidul Islam Khan, Abir Bin Ayub Khan – Application of Phonetic Encoding for Analyzing Similarity of Patient’s Data: Bangladesh Perspective. 20th International Conference of Computer and Information Technology (ICCIT 2017), December 2017.

• Mohaimanul Hoque Chowdhury, Muhammad Kamrul Islam, Shahidul Islam Khan – Imputation of Missing Healthcare Data
  20th International Conference of Computer and Information Technology (ICCIT 2017), December 2017.

2016

• Shahidul Islam Khan, Abu Sayed Latiful Haque – Similarity Analysis of Patients’ Data: Bangladesh Perspective Conference Presentation, December 2016.

• Shahidul Islam Khan, Md. Latiful Hoque – An Analysis of the Problems for Health Data Integration in Bangladesh
  Conference Presentation, October 2016.

2015

• Shahidul Islam Khan, Abu Sayed Latiful Haque – Development of National Health Data Warehouse for Data Mining Conference Presentation, July 2015.

• Shahidul Islam Khan, Abu Sayed Latiful Haque – Towards Development of Health Data Warehouse: Bangladesh Perspective
  Conference Presentation, May 2015.

1. Workshop on Machine Learning for Healthcare Applications
    Date: March 2023
   Role: Lead Trainer and Resource Person
   Venue: International Islamic University Chittagong
   Overview: Dr. Khan conducted an intensive workshop on applying machine learning techniques to healthcare data, including predictive analytics for disease diagnosis and clinical decision support systems.
2. National Training Program on Data Privacy and Ethical AI
    Date: November 2022
   Role: Keynote Trainer
   Organizer: ICT Division, Government of Bangladesh
   Overview: Delivered expert sessions on ethical considerations in AI, privacy-preserving data mining, and secure healthcare data integration, targeted at researchers and IT professionals.
3. Training on Health Data Warehousing and ETL Tools
    Date: September 2019
   Role: Lead Trainer
   Venue: Ahsanullah University of Science and Technology (AUST)
   Overview: Hands-on training on Extract, Transform, Load (ETL) processes, and the design of national health data warehouses for efficient analytics and public health improvement.
4.  Advanced Training on Big Data Analytics and Predictive Modeling
    Date: October 2018
   Role: Chief Instructor
   Organizer: Bangladesh Computer Council (BCC)
   Overview: Delivered comprehensive training on big data frameworks, machine learning models, and applications in social and healthcare domains.

CSE Fest 2024 – Inaugural Address
Date: December 2024
Role: Organizing Chair and Dean, School of Engineering
Event: Professor Dr. Shahidul Islam Khan delivered the welcoming address at the inauguration of CSE Fest 2024, a five-day event featuring workshops, competitions, and seminars. The fest included AI contests, robotics workshops, and career talks by industry leaders, fostering innovation and collaboration among students.

Inter-University Research Poster Presentation Competition
Date: December 2024
Role: Event Overseer
Event: Professor Dr. Shahidul Islam Khan oversaw the Inter-University Research Poster Presentation Competition at Presidency University. The event provided a platform for undergraduate students from various institutions to present innovative research, encouraging academic excellence and interdisciplinary collaboration.

CSE Thesis Defense – Spring 2025
Date: April 2025
Role: Chair, Examination Board
Event: As Chair of the Examination Board, Professor Dr. Shahidul Islam Khan led the CSE Department’s Spring 2025 thesis defense at Presidency University. The session showcased student research on topics like AI-driven data protection, IoT-based smart gadgets, and blockchain applications, reflecting the department’s commitment to cutting-edge research.