Faculty Profile

• Ph.D. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET)
• M.Sc. Engineering in Computer Science and Engineering (CSE) from Bangladesh University of Engineering and Technology (BUET)
• B.Sc. Engineering in Computer Science and Engineering from Ahsanullah University of Science and Technology (AUST)
• Higher Secondary School Certificate from Notre Dame College, Dhaka
• Secondary School Certificate from B.L. Govt. School, Sirajganj

• 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 join 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.
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.
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.
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.
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.
6. Exploiting Diverse Contextual Features Through Transformers for Detecting Informative Tweets. Abu Nowhash Chowdhury, Shawon Guha, Nurul Amin, Shahidul Islam Khan. 2022.
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.
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.
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.
10. Hybrid Feature Selection Algorithm to Support Health Data Warehousing. Md. Badiuzzaman Biplob, Shahidul Islam Khan, Galib Ahasan Sheraji, Jubayed Ahmed. 2020.
11. Knowledge Discovery from Mental Health Data. Shahidul Islam Khan, Ariful Islam, Taiyeb Ibna Zahangir, Abu Sayed Latiful Haque. 2020.
12. SICE: An Improved Missing Data Imputation Technique. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. Journal of Big Data. 2020.
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.
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. ICISET 2018.
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. ICISET 2018.
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. NSysS 2017.
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.
18. Development of National Health Data Warehouse for Data Mining. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. Database Systems Journal, 2015.
19. A New Technique for Database Fragmentation in Distributed Systems. Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque. International Journal of Computer Applications, 2010.

For a full list of publications, visit Google Scholar.

• 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; and 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, and 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 ICCIT 2017, December 2017.
• Mohaimanul Hoque Chowdhury, Muhammad Kamrul Islam, Shahidul Islam Khan – Imputation of Missing Healthcare Data. 20th 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
   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
   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)
   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)
   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
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
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
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.