SelectedWorks - Samah Senbel

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Selected Works of Samah Senbel

Associate Professor & Chair School of Computer Science & Engineering

Dr. Senbel’s teaching focus includes Programming, Data Structures, Distributed Systems, Web programming, and Operating Systems. Her research focuses on Data Analytics, Distributed systems, and Cloud Computing. Dr. Senbel joined the Sacred Heart University faculty in 2017.

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About Samah Senbel

Dr. Senbel’s teaching focus includes Programming, Data Structures, Distributed Systems, Web programming, and Operating Systems. Her research focuses on Data Analytics, Distributed systems, and Cloud Computing. Dr. Senbel joined the Sacred Heart University faculty in 2017.

Three School of Computer Science & Engineering Programs Gain Accreditation

Sacred Heart University News Listing (2022)

Three programs in Sacred Heart University’s Jack Welch College of Business & Technology (WCBT) have garnered accreditation from the Accreditation Board for Engineering ...

3D Printed Models for Teaching Data Structures

Journal of Computing Sciences in Colleges (2020)

Samah A. Senbel

The data structures course is a fundamental course in Computer Science education. It describes and compares the different structures that ...

Different Approaches to Teaching a Database Course to Graduate and ...

ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (2020)

Samah A. Senbel

Database Design and Implementation is a cornerstone course in any computer science curriculum. Database Design is taught first using an ...

Exam and Model Answers

Database (2018)

Samah A. Senbel

Database Final Exam

Samah A. Senbel

Database Midterm Exam

A Holistic Approach to Performance Prediction in Collegiate Athletics: Player ...

Exercise Science Faculty Publications (2024)

Christopher Taber, S. Sharma, Mehul S. Raval, Samah Senbel, et al.

Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in ...

A Dynamic Online Dashboard for Tracking the Performance of Division ...

School of Computer Science & Engineering Undergraduate Publications (2023)

Erica Juliano, Chelsea Thakkar, Christopher B. Taber, Mehul S. Raval, et al.

Using Data Analytics is a vital part of sport performance enhancement. We collect data from the Division 1 'Women's basketball ...

Using Data Analytics to Assess Factors Affecting the Survival Rate ...

School of Computer Science & Engineering Faculty Publications (2022)

Samah Senbel, Carly Seigel, Tom Corell and Mary Hogue

Urban trees play an important role in cities big and small, both for aesthetics and carbon dioxide sequestration. Therefore, many ...

Impact of Sleep and Training on Game Performance and Injury ...

School of Computer Science & Engineering Faculty Publications (2022)

Samah Senbel, S. Sharma, S. M. Raval, Christopher B. Taber, et al.

We investigated the impact of sleep and training load of Division - 1 women’s basketball players on their game performance ...

Religious Violence and Twitter: Networks of Knowledge, Empathy and Fascination

School of Computer Science & Engineering Faculty Publications (2022)

Samah Senbel, Carly Seigel and Emily Bryan

Twitter analysis through data mining, text analysis, and visualization, coupled with the application of actor-network-theory, reveals a coalition of heterogenous ...

Contribution to Book

The Power of Citizen Science: 20 Years of Horseshoe Crab ...

Biology Faculty Publications (2022)

Jennifer Mattei, Jo-Marie Kasinak, Samah Senbel and Kirk A. Bartholomew

Long-term observations of the distribution, mating behavior, and movement patterns of horseshoe crabs are important for understanding their ecology. Population ...

Contribution to Book

Word Frequency Analysis of Community Reaction to Religious Violence on ...

School of Computer Science & Engineering Faculty Publications (2022)

Samah Senbel, Carly Seigel and Emily Bryan

Researchers in data science, psychology, and linguistics have recognized the value in assessing community reactions to traumatic experiences on social ...

Sleep and Physical Performance: A Case Study of Collegiate Women ...

Exercise Science Faculty Publications (2021)

Christopher Taber, Samah Senbel, Diala Ezzeddine, Julie K. DeMartini, et al.

In this work, we present a case study to evaluate the connections between sleep, training load, and the perceptions of ...

Contribution to Book

A Random Forest Regression Model for Predicting the Movement of ...

Biology Faculty Publications (2021)

Samah Senbel, Jo-Marie Kasinak and Jennifer Mattei

Developing models to predict animal movement patterns is an important area of study in ecology and wildlife management. Project Limulus, ...

Contribution to Book

Fast and Memory-Efficient TFIDF Calculation for Text Analysis of Large ...

School of Computer Science & Engineering Faculty Publications (2021)

Term frequency – Inverse Document Frequency (TFIDF) is a vital first step in text analytics for information retrieval and machine ...

Prediction_models.py

Samah A. Senbel

Python code to test three machine learning techniques for predicting the movement of horseshoe crabs.

Sample2010Data.csv

Samah A. Senbel

Sample horseshoe crab movement data (2010 only)

CleaningData.html

Samah A. Senbel

This is an R Markdown document about data cleaning and data modeling.The dataset used is that of Project Limulus, which ...

FiveRegions.html

Samah A. Senbel

In this R markdown document, we divide the Long Island sound into five regions and analyze the movement of Horseshoe ...

A Fairness-Based Heuristic Technique for Long-Term Nurse Scheduling

School of Computer Science & Engineering Faculty Publications (2021)

We present a new heuristic long-term solution to the Nurse Scheduling Problem (NSP). Nurse scheduling requires the satisfaction of a ...

Fast and Memory-Efficient TFIDF Calculation for Text Analysis of Large ...

Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021. Lecture Notes in Computer Science (2021)

Samah A. Senbel

Term frequency – Inverse Document Frequency (TFIDF) is a vital first step in text analytics for information retrieval and machine ...

RCrab: An R Analytics Tool to Visualize and Analyze the ...

School of Computer Science & Engineering Faculty Publications (2019)

Ismael Youssef, Samah Senbel, Jo-Marie Kasinak and Jennifer Mattei

Mark-recapture programs are important for studying the ecology and population dynamics of wildlife. An R shiny analytics tool was developed ...

Teaching Self-Balancing Trees Using a Beauty Contest

School of Computer Science & Engineering Faculty Publications (2019)

Trees data structures and their performance is one of the main topics to teach in a data structures course. Appreciating ...

An Interactive Application for Tracking the Movement of the Limulus ...

Biology Faculty Publications (2019)

Ismael Youssef, Samah Senbel and Jennifer Mattei

Poster presented at the Long Island Sound Research Conference held March 15, 2019 in Port Jefferson, New York.

Contribution to Book

Novel Recursive Technique for Finding the Optimal Solution of the ...

School of Computer Science & Engineering Faculty Publications (2019)

Solving the Nurse Scheduling problem Is a major research area in Operations Research. Due to it being an NP-Hard problem, ...