Research Areas
From developing cyber security solutions to recommending potential medicine through AI, our researchers solve problems that impact the world. Our expertise spans multiple disciplines, including Algorithms and Theory, AI and Machine Learning, Bioinformatics, Cyber Security, Database and Data Science, Natural Language Processing, Software Engineering, and Systems and Networking.
Top Research Areas:
Algorithms and Theory
Research in this field encompasses algorithm design for graph drawing, string and sequence alignment, genome assembly, and phylogenetic tree estimation. It also covers scheduling, facility assignment, scale-free network modeling, clustering, and community detection. Furthermore, we focus on the theory of computation, computational complexity, graph theory, stringology, metaheuristics, and network science.
Faculties in this area
Dr. Muhammad Masroor AliDr. Md. Saidur Rahman
Dr. M. Sohel Rahman
Dr. Md. Shamsuzzoha Bayzid
Dr. Atif Hasan Rahman
Dr. Sadia Sharmin
Abu Wasif
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning cover diverse topics, including pattern recognition, digital image processing, computer vision, language comprehension, character recognition, robotics, disease diagnosis, medicine recommendation, and beyond. Specific research emphasizes neural networks, evolutionary algorithms, generative modeling, predictive learning, time-series analysis, interpretable machine learning, protein informatics, and graph machine learning.
Faculties in this area
Dr. Muhammad Masroor AliDr. Md. Monirul Islam
Dr. Mohammed Eunus Ali
Dr. Md. Monirul Islam
Dr. Md. Shohrab Hossain
Dr. Mohammad Saifur Rahman
Abu Wasif
Sukarna Barua
Md. Shariful Islam Bhuyan
Dr. Muhammad Ali Nayeem
Bioinformatics
Our researchers push the boundaries of bioinformatics across various domains, specifically phylogenomics, phylogenetic analysis, gene and species tree estimation, protein sequence and structure learning, protein-protein interactions and protein-drug interactions prediction, spatial transcriptomics, genome-wide association studies (GWAS), RNA-sequence analysis, genome assembly, multi-sequence alignment, predictive disease diagnosis and medicine recommendation.
Faculties in this area
Dr. Md. Saidur RahmanDr. M. Sohel Rahman
Dr. Mohammad Saifur Rahman
Dr. Md. Shamsuzzoha Bayzid
Dr. Atif Hasan Rahman
Md. Shariful Islam Bhuyan
Cyber Security
Our department leads cutting-edge cybersecurity research across multiple fronts, including malware analysis, mobile operating system security, network security, and blockchain technologies. Furthermore, we focus on intrusion detection, privacy breaches, IoT device security, ransomware and phishing detection, DDoS protection, and secure data handling in spatial data and route planning.
Faculties in this area
Dr. A.K.M. Ashikur RahmanDr. Mahmuda Naznin
Dr. Tanzima Hashem
Dr. Md. Shohrab Hossain
Dr. A. B. M. Alim Al Islam
Sukarna Barua
Database and Data Science
Our Database and Data Science researchers are developing innovative solutions for data management and data analytics across various domains, including healthcare optimization, urban planning, traffic management, and environmental monitoring. Their work includes developing predictive models for chronic diseases, enhancing road safety through data-driven insights, and employing advanced database queries to optimize urban infrastructure and real estate evaluations. They also focus on integrating spatial data trusts and improving spatial database queries to support personalized and secure data sharing and route planning. These initiatives underscore our commitment to utilizing database technology and analytics to drive smarter decision-making and improve societal well-being.
Faculties in this area
Dr. Abu Sayed Md. Latiful HoqueDr. Mohammed Eunus Ali
Dr. Mahmuda Naznin
Dr. Md. Monirul Islam
Dr. Tanzima Hashem
Dr. Muhammad Abdullah Adnan
Sukarna Barua
Natural Language Processing
Our NLP researchers are advancing the way machines understand and process human languages in diverse contexts. Their work includes developing solutions for sentiment analysis, social media monitoring, empathetic computing, and robust online data analytics. Additionally, our faculty is making significant strides in developing NLP tools for low-resource languages, especially Bangla. Key projects such as BanglaBERT, BanglaNLG, and BanglaT5 demonstrate our commitment to making digital interactions more accessible and personalized for regional language speakers.
Faculties in this area
Dr. Muhammad Masroor AliDr. Md. Monirul Islam
Dr. M. Sohel Rahman
Dr. Mohammed Eunus Ali
Dr. A. B. M. Alim Al Islam
Dr. Anindya Iqbal
Dr. Rifat Shahriyar
Dr. Muhammad Abdullah Adnan
Dr. Sadia Sharmin
Sukarna Barua
Software Engineering
In Software Engineering, our faculty is leading efforts to enhance the reliability and efficiency of software systems through innovative approaches in automated testing, automated bug repair, automated documentation, dynamic service compositions, and performance monitoring. They focus on frameworks that integrate machine learning and natural language processing to optimize software development and management processes. This approach enhances software quality and adapts to industry demands by creating more robust and efficient technological environments.
Faculties in this area
Dr. Md. Mostofa AkbarDr. Anindya Iqbal
Dr. Rifat Shahriyar
Systems and Networking
Our Systems and Networking researchers are developing innovative solutions to enhance data communication and network security. Their research includes developing innovative protocols for wireless networks, employing machine learning techniques to improve network security, and optimizing real-time communication strategies in IoT and ad-hoc network environments. These efforts are crucial for improving network reliability, efficiency, and security in modern digital communication systems.
Faculties in this area
Dr. Md. Mostofa AkbarDr. A.K.M. Ashikur Rahman
Dr. Mahmuda Naznin
Dr. Md. Shohrab Hossain
Dr. A. B. M. Alim Al Islam
Dr. Rifat Shahriyar
Dr. Muhammad Abdullah Adnan
Dr. Mohammad Saifur Rahman
Dr. Rezwana Reaz