Rezwan Ahmed

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Dynamic networks have recently being recognized as a powerful abstraction to model and represent the temporal changes and dynamic aspects of the data underlying many complex systems. Significant insights regarding the stable relational patterns among the entities can be gained by analyzing temporal evolution of the complex entity relations. This can help(More)
Alpha-helical transmembrane proteins mediate many key biological processes and represent 20%-30% of all genes in many organisms. Due to the difficulties in experimentally determining their high-resolution 3D structure, computational methods to predict the location and orientation of transmembrane helix segments using sequence information are essential. We(More)
Temporal data management has an ancient history. From the earliest days people are using timeline (a way of displaying a list of events in chronological order) to record their transaction data in a log file or table and often those files or tables are used by researchers to understand the events or trends of the transaction. The first attempt to illustrate(More)
BACKGROUND Obesity is the leading cause of preventable death costing the health care system billions of dollars. Combining self-monitoring technology with personalized behavior change strategies results in clinically significant weight loss. However, there is a lack of real-world outcomes in commercial weight-loss program research. OBJECTIVE Retrofit is a(More)
Computational methods and tools that can efficiently and effectively analyze the temporal changes in dynamic complex relational networks enable us to gain significant insights regarding the entity relations and their evolution. This article introduces a new class of dynamic graph patterns, referred to as coevolving relational motifs (CRMs), which are(More)
The principle of this study is to minimize and categorize the large scale metadata to hasten an entity search in a well-organized way. The objective is to addresses the fundamental issues of minimalist metadata visualization that make an entity identifiable by human assessment. It is very important to understand the dependency between an entity and the(More)
The purpose of our study is to addresses fundamental issues of minimalist metadata visualization that make an entity identifiable by human inspection. Minimalist metadata visualization for entity depends on the context of use of that entity, i.e., who is asking for what/whom at when and where. Therefore, we seek to recognize the need for requisite types,(More)
BACKGROUND Using technology to self-monitor body weight, dietary intake, and physical activity is a common practice used by consumers and health companies to increase awareness of current and desired behaviors in weight loss. Understanding how to best use the information gathered by these relatively new methods needs to be further explored. OBJECTIVE The(More)
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