Research from faculty members in the Department of Computer Science covers the areas of Artificial Intelligence (AI) and Web, Bioinformatics and Computational Intelligence, Databases and Data Mining, High Performance and Grid Computing, Networking, Software and Web Engineering, Theoretical Computer Science, and Vision and Pattern Recognition.
Submissions from 2024
Comparison of concurrent cognitive load measures during n-back tasks, Prarthana Pillai, Balakumar Balasingam, Arunita Jaekel, and Francesco N. Biondi
Submissions from 2023
Survey of Multiple Clouds: Classification, Relationships and Privacy Concerns, Reem Al-Saidi and Ziad. Kobti
Distracted worker: Using pupil size and blink rate to detect cognitive load during manufacturing tasks, Francesco N. Biondi, Babak Saberi, Frida Graf, Joel Cort, Prarthana Pillai, and Balakumar Balasingam
Machine Learning Technique for Data Fusion and Cognitive Load Classification Using an Eye Tracker, Aaron Collins, Parthana Pillai, Balakumar Balasingam, and Arunita Jaekel
A Survey of Sequential Pattern Based E-Commerce Recommendation Systems, Christie I. Ezeife and Hemni Karlapalepu
Community Opinion Network Maximization for Mining Top K Seed Social Network Users, Christie I. Ezeife and Mayank Semwal
A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation, Mahreen Nasir and C. I. Ezeife
Semantic enhanced Markov model for sequential E-commerce product recommendation, Mahreen Nasir and C. I. Ezeife
Model-Based Estimation of Mental Workload in Drivers Using Pupil Size Measurements, Prarthana Pillai, Balakumar Balasingam, and Francesco N. Biondi
Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium-ion Batteries, Part-3: Experimental Results, Prarthana Pillai, James Nguyen, and Balakumar Balasingam
Performance Comparison of Open-Circuit Voltage Modelling of Li-ion Batteries at Different C-Rates, Prarthana Pillai, James Nguyen, and Balakumar Balasingam
Joint Estimation of Open Circuit Voltage and Equivalent Circuit Model Parameters Using State-Space Model Optimization, Sneha Sundaresan, Sooraj Sunil, Balakumar Balasingam, and Krishna R. Pattipati
Inverse Characterization of Open-Circuit Voltage for State-of-Charge Estimation of Batteries, Sooraj Sunil, Sneha Sundaresan, Prarthana Pillai, and Balakumar Balasingam
Battery Parameter Analysis through Electrochemical Impedance Spectroscopy at Different State of Charge Levels, Yuchao Wu, Sneha Sundaresan, and Balakumar Balasingam
Submissions from 2022
Robust Approach to Battery Equivalent-Circuit-Model Parameter Extraction Using Electrochemical Impedance Spectroscopy, Marzia Abaspour, Krishna R. Pattipati, Behnam Shahrrava, and Balakumar Balasingam
Mining Twitter Multi-word Product Opinions with Most Frequent Sequences of Aspect Terms, C. I. Ezeife, Ritu Chaturvedi, Mahreen Nasir, and Vinay Manjunath
Maximizing Bigdata Retrieval: Block as a Value for NoSQL over SQL, Abdulrauf Gidado and C. I. Ezeife
A Comprehensive Literature Review on Convolutional Neural Networks, Ehsan Ur Rahman Mohammed, Narasimha Reddy Soora Dr., and Sharfuddin Waseem Mohammed
Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining, Priyanka Motwani, C. I. Ezeife, and Mahreen Nasir
A Fast OCV Characterization Approach for Battery Reuse Applications, James Nguyen, Prarthana Pillai, and Balakumar Balasingam
Approach for Rigorous Evaluation of a Battery Fuel Gauge, Prarthana Pillai and Balakumar Balasingam
Eye-Gaze Metrics for Cognitive Load Detection on a Driving Simulator, Prarthana Pillai, Balakumar Balasingam, Yong Hoon Kim, Chris Lee, and Francesco Biondi
Performance Analysis of R-int Approximation in Battery Equivalent Circuit Models, Prarthana Pillai, Sneha Sundaresan, Balakumar Balasingam, and Krishna R. Pattipati
Optimizing Current Profiles for Efficient Online Estimation of Battery Equivalent Circuit Model Parameters Based on Cramer–Rao Lower Bound, Prarthana Pillai, Sneha Sundaresan, Krishna R. Pattipati, and Balakumar Balasingam
Real-time Battery Capacity Estimation Based on Opportunistic Measurements, Sneha Sundaresan, Prarthana Pillai, Balakumar Balasingam, and Krishna R. Pattipati
Fast Offline Battery Capacity Estimation Approach With Performance Bounds, Sneha Sundaresan, Sooraj Sunil, Balakumar Balasingam, and Krishna R. Pattipati
State-of-charge estimation of batteries using the extended Kalman filter: insights into performance analysis and filter tuning, Sooraj Sunil, Balakumar Balasingam, and Krishna R. Pattipati
Novel Table-based Kalman Filter for State of Charge Estimation of Batteries, Sooraj Sunil, Sneha Sundaresan, Balakumar Balasingam, and Krishna R. Pattipati
Introduction to the focused section on novel sensing and multi-sensor fusion in robotics, Zhenhua Xiong, Balakumar Balasingam, Min Li, Zhaojian Li, Min Liu, Hungsun Son, and Yancheng Wang
Submissions from 2021
Experimental data on open circuit voltage characterization for Li-ion batteries, Mostafa Shaban Ahmed, Balakumar Balasingam, and K. R. Pattipati
On the Identification of Electrical Equivalent Circuit Models Based on Noisy Measurements, Balakumar Balasingam and Krishna R. Pattipati
On the Cost of Detection Response Task Performance on Cognitive Load, Francesco N. Biondi, Balakumar Balasingam, and Prathamesh Ayare
The HSPRec E-Commerce System Open Source Code Implementation, Christie I. Ezeife, Mahreen Nasir, Ritu Chaturvedi, and Angel Veliz Castro
A critical look at coulomb counting approach for state of charge estimation in batteries, Kiarash Movassagh, Arif Raihan, Balakumar Balasingam, and Krishna Pattipati
Improving e-commerce product recommendation using semantic context and sequential historical purchases, Mahreen Nasir, C. I. Ezeife, and Abdulrauf Gidado
BERT-Based Multi-Task Learning for Aspect-Based Opinion Mining, Manil Patel and C. I. Ezeife
Algorithms for Reading Line Classification, Xiaohao Sun and Balakumar Balasingam
Reading Line Classification Using Eye-Trackers, Xiaohao Sun and Balakumar Balasingam
Submissions from 2020
A scaling approach for improved state of charge representation in rechargeable batteries, Mostafa Shaban Ahmed, Sheikh Arif Raihan, and Balakumar Balasingam
Markov modeling and analysis of team communication, Diego Fernando Martinez Ayala, Balakumar Balasingam, Sara McComb, and Krishna R. Pattipati
Battery management systems-challenges and some solutions, Balakumar Balasingam, Mostafa Ahmed, and Krishna Pattipati
Tracking the Progression of Reading Using Eye-Gaze Point Measurements and Hidden Markov Models, Stephen Bottos and Balakumar Balasingam
Clustering Examples in Web-based Tutoring Systems based on Relevance of Concepts, Ritu Chaturvedi and C. I. Ezeife
Mining Integrated Sequential Patterns From Multiple Databases, C. I. Ezeife, Vignesh Aravindan, and Ritu Chaturvedi
Semantics Embedded Sequential Recommendation for E-Commerce Products (SEMSRec), Mahreen Nasir and C. I. Ezeife
Unification of internal resistance estimation methods for li-ion batteries using hysteresis-free equivalent circuit models, S. M. Rakiul Islam, Sung Yeul Park, and Balakumar Balasingam
Cognitive load estimation for adaptive human-machine system automation, P. Ramakrishnan, B. Balasingam, and F. Biondi
Submissions from 2019
A scaling approach for improved open circuit voltage modeling in Li-ion batteries, Mostafa Shaban Ahmed and Balakumar Balasingam
Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation, Raj Bhatta, C. I. Ezeife, and Mahreen Nasir Butt
A novel slip-kalman filter to track the progression of reading through eye-gaze measurements, S. Bottos and B. Balasingam
Tracking the Progression of Reading Through Eye-gaze Measurements, Stephen Bottos and Balakumar Balasingam
Mining product opinions with most frequent clusters of aspect terms, Chukwuma Ejieh, C. I. Ezeife, and Ritu Chaturvedi
Maximum Likelihood Detection in Focal Plane Arrays with Generic Point Spread Function (Poster), K. Kiani, B. Balasingam, and B. Shahrrava
Performance analysis of coulomb counting approach for state of charge estimation, Kiarash Movassagh, Sheikh Arif Raihan, and Balakumar Balasingam
Recursive least square estimation approach to real-time parameter identification in li-ion batteries, Sheikh Arif Raihan and Balakumar Balasingam
Autonomous Heart Rate Tracking Methodology Using Kalman Filter and the em Algorithm, Thiago T. Souza, Balakumar Balasingam, and Roman Maev
Quickest Detection of Abnormal Vehicle Movements on Highways, Jingyu Wang, Ravindra Kumar Dhanapal, Priyadharshini Ramakrishnan, and Balakumar Balasingam
Active RFID Based Indoor Localization, Jingyu Wang, Ravindra Kumar Dhanapal, Priyadharshini Ramakrishnan, Balakumar Balasingam, Thiago Souza, and Roman Maev
Submissions from 2018
Detection of Multiple Targets in an Image, Balakumar Balasingam
Elements of a robust battery-management system: From fast characterization to universality and more, Balakumar Balasingam and Krishna Pattipati
Circuit parameters extraction algorithm for a lithium-ion battery charging system incorporated with electrochemical impedance spectroscopy, S. M.Rakiul Islam, Sung Yeul Park, and Balakumar Balasingam
Localization of a point target from an optical sensor's focal plane array, Qin Lu, Yaakov Bar-Shalom, Peter Willett, and Balakumar Balasingam
Measurement Extraction for a Point Target from an Optical Sensor, Qin Lu, Yaakov Bar-Shalom, Peter Willett, and Balakumar Balasingam
Review of potential security attacks in VANET, Muhammad Anwar Shahid, Arunita Jaekel, Christie Ezeife, Qasim Al-Ajmi, and Ikjot Saini
E-commerce product recommendation using historical purchases and clickstream data, Ying Xiao and C. I. Ezeife
Submissions from 2017
Optimal charging for general equivalent electrical battery model, and battery life management, A. Abdollahi, X. Han, N. Raghunathan, B. Pattipati, B. Balasingam, K. R. Pattipati, Y. Bar-Shalom, and B. Card
Random finite set particle filter for source enumeration and direction-of-arrival tracking using sonar arrays, Balakumar Balasingam, Marcus Baum, and Peter Willett
Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders, Balakumar Balasingam, Pujitha Mannaru, David Sidoti, Krishna Pattipati, and Peter Willett
Maximum likelihood detection on images, B. Balasingam, Y. Bar-Shalom, P. Willett, and K. Pattipati
Predicting Student Performance in an ITS Using Task-Driven Features, R. Chaturvedi and C. I. Ezeife
Heterogeneous hidden Markov models for context modeling through eye gaze observations, Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne
Performance evaluation of the gazepoint GP3 eye tracking device based on pupil dilation, Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph T. Coyne
Three-Dimensional Container Loading: A Simulated Annealing Approach, Hanan Mostaghimi Ghomi, Bryan Gary St. Amour, and Walid Abdul-Kader
Cognitive video streaming, D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny
Submissions from 2016
Optimal battery charging, Part I: Minimizing time-to-charge, energy loss, and temperature rise for OCV-resistance battery model, A. Abdollahi, X. Han, G. V. Avvari, N. Raghunathan, B. Balasingam, K. R. Pattipati, and Y. Bar-Shalom
Quanta tracking algorithm for multiple moving targets, Darin T. Dunham, Peter K. Willett, Terry L. Ogle, and Balakumar Balasingam
Comparative Mining of B2C Web Sites by Discovering Web Database Schemas, C. I. Ezeife and Bindu Peravali
Cognitive context detection for adaptive automation, Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne
Cognitive context detection in UAS operators using eye-gaze patterns on computer screens, Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne
Cognitive context detection using pupillary measurements, Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne
On the use of hidden Markov models for gaze pattern modeling, Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne
Submissions from 2015
Battery charging optimization for OCV-resistance equivalent circuit model, A. Abdollahi, N. Raghunathan, X. Han, G. V. Avvari, B. Balasingam, K. R. Pattipati, and Y. Bar-Shalom
Battery health degradation and optimal life management, A. Abdollahi, N. Raghunathan, X. Han, B. Pattipati, B. Balasingam, K. R. Pattipati, Y. Bar-Shalom, and B. Card
A battery chemistry-adaptive fuel gauge using probabilistic data association, G. V. Avvari, B. Balasingam, K. R. Pattipati, and Y. Bar-Shalom
Experimental set-up and procedures to test and validate battery fuel gauge algorithms, G. V. Avvari, B. Pattipati, B. Balasingam, K. R. Pattipati, and Y. Bar-Shalom
MMOSPA estimation with unknown number of objects, Balakumar Balasingam, Marcus Baum, and Peter Willett
Performance analysis results of a battery fuel gauge algorithm at multiple temperatures, B. Balasingam, G. V. Avvari, K. R. Pattipati, and Y. Bar-Shalom
Robust collaborative learning by multi-agents, B. Balasingam, K. Pattipati, G. Levchuck, and J. C. Romano
OSPA barycenters for clustering set-valued data, Marcus Baum, Balakumar Balasingam, Peter Willett, and Uwe D. Hanebeck
Mining binary data with matrix algebra, R. Chaturvedi and C. I. Ezeife
Online playtime prediction for cognitive video streaming, D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny
Submissions from 2014
Robust battery fuel gauge algorithm development, part 1: Online parameter estimation, B. Balasingam, G. V. Avvari, B. Pattipati, K. Pattipati, and Y. Bar-Shalom
Robust battery fuel gauge algorithm development, part 2: Online battery-capacity estimation, B. Balasingam, G. V. Avvari, B. Pattipati, K. Pattipati, and Y. Bar-Shalom
Robust battery fuel gauge algorithm development, part 3: State of charge tracking, B. Balasingam, G. V. Avvari, B. Pattipati, K. Pattipati, and Y. Bar-Shalom
A robust approach to battery fuel gauging, part II: Real time capacity estimation, B. Balasingam, G. V. Avvari, B. Pattipati, K. R. Pattipati, and Y. Bar-Shalom
A robust approach to battery fuel gauging, part I: Real time model identification, B. Balasingam, G. V. Avvari, B. Pattipati, K. R. Pattipati, and Y. Bar-Shalom
Online anomaly detection in big data, B. Balasingam, M. S. Sankavaram, K. Choi, D. F.M. Ayala, D. Sidoti, K. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny
Mining Relevant Examples for Learning in ITS Student Models, R. Chaturvedi and C. I. Ezeife
Advancement of an algorithm, Darin T. Dunham, Terry L. Ogle, Peter K. Willett, and Balakumar Balasingam
Automatic updating of computer games data warehouse for cognition identification, C. I. Ezeife, R. Whent, D. Martinovic, R. Frost, Y. Alahmad, and T. Mumu