Data Science
Data science research involves the systematic exploration and analysis of large and complex datasets to extract valuable insights, patterns, and trends. Researchers in this field utilize a combination of statistical methods, machine learning algorithms, and domain knowledge to uncover meaningful information from diverse data sources. The primary goals of data science research include developing predictive models, optimizing decision-making processes, and advancing our understanding of complex phenomena through data-driven approaches. This interdisciplinary field integrates expertise from statistics, computer science, and domain-specific domains to address real-world challenges and drive innovation in various industries.INTEREST(S)
Statistical MethodsDomain KnowledgeDecision-making ProcessesData-driven Approaches
VISION
Lead the way in data science, driving innovation across industries by developing predictive models and fostering a future where interdisciplinary expertise seamlessly combines to unravel complex phenomena through data-driven approaches.
MISSION
Pioneer data science research to systematically extract valuable insights, optimize decision-making, and advance understanding through interdisciplinary collaboration, leveraging statistical methods and machine learning algorithms.
MEMBER(S)
Using End User Intents in driving End User Composed Services
Advancement of technologies have led to exponential growth in the use of services. However, end users who have little to no programming knowledge face difficulty in deriving substantial benefits from ...
Algorithmic analysis for statics and dynamics of data in a complex network
In a complex network of a real-life system, there exists a bulk amount of big data. I will explore the behavior of different parameters for the statics and dynamics of data movement. I will explore di...
Social Network Analysis: Community Detection
This is the era of big data. Our daily social life, we deal with many networks data and Community detection is specially tailored for network analysis. Social Network Analysis (SNA) is a field of stud...
How User Sense of Agency Influence OTT Subscription Switching Intention among Bangladeshi Consumers.
The feeling of control over actions and their consequences is known as sense of agency which is a feeling exclusive to humans. However, human perception varies greatly when it comes to opinion regardi...
Integrating personality trait in an education recommender for better recommendation.
A recommendation system filters large volumes of online items and provides the suitable ones to users. It does so by using user’s preferences behavior about item. Preference can be identified based on...
Harnessing for Enhanced Network Security Detection and Analysis
In cybersecurity today, which is dynamic in its development, one fundamental goal is to be able to categorize the flow of traffic within a network in real time to help detect threats that may exist in...
Diabetic Eye Disease Classification, Detection, and Segmentation
Diabetic eye disease (DED), a prevalent complication of diabetes, remains a leading cause of blindness among working-age adults worldwide. According to the World Health Organization (WHO), diabetic re...
An Enhanced Software Bug Prediction Framework Using Machine Learning Model
: Software bug prediction is an essential process that significantly improves software quality, reduces development costs, and optimizes resource allocation. Organizations can prevent costly errors an...