Anahita Khojandi

According to our database, Anahita Khojandi authored at least 40 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bias in Reinforcement Learning: A Review in Healthcare Applications.

Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan

ACM Comput. Surv., February, 2024

Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems.

Mahboubeh Madadi, Shahrbanoo Rezaei, Anahita Khojandi

Comput. Ind. Eng., January, 2024

2023

Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease.

Matt Baucum, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani

Manag. Sci., October, 2023

Optimizing Substance Use Treatment Selection Using Reinforcement Learning.

Matt Baucum, Anahita Khojandi, Carole Myers, Larry Kessler

ACM Trans. Manag. Inf. Syst., June, 2023

Real-time sensor-based prediction of soil moisture in green infrastructure: A case study.

Kalina Scarbrough, Padmini Persaud, Isidora Fletcher, Aaron Alexander Akin, Jon Hathaway, Anahita Khojandi

Environ. Model. Softw., April, 2023

Determining the Most Significant Metadata Features to Indicate Defective Software Commits.

Rupam Kumar Dey, Anahita Khojandi, Kalyan Perumalla

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving.

Shahrbanoo Rezaei, Jeremiah Gbadegoye, Neda Masoud, Anahita Khojandi

Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection.

Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Theodore Papamarkou

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Applying Deep Reinforcement Learning for Detection of Internet-of- Things Cyber Attacks.

Curtis Rookard, Anahita Khojandi

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022

A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection.

Jeremy Watts, Franco van Wyk, Shahrbanoo Rezaei, Yiyang Wang, Neda Masoud, Anahita Khojandi

IEEE Trans. Intell. Transp. Syst., 2022

A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction.

Zeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L. Davis, Rishikesan Kamaleswaran

INFORMS J. Comput., 2022

Q-learning and traditional methods on solving the pocket Rubik's cube.

Zefeng Lyu, Zeyu Liu, Anahita Khojandi, Andrew Junfang Yu

Comput. Ind. Eng., 2022

Secure Analytics for Embedded Systems through Machine Learning Applications using TrustZones.

Curtis Rookard, Austin Crabtree, Joseph Dan Trujillo, Anahita Khojandi

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Adapting Random Forests to Predict Obesity-Associated Gene Expression.

Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Farideh Jalali-najafabadi, Theodore Papamarkou

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors.

Yiyang Wang, Neda Masoud, Anahita Khojandi

IEEE Trans. Intell. Transp. Syst., 2021

Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application.

Matthew Baucum, Anahita Khojandi, Rama K. Vasudevan

IEEE J. Biomed. Health Informatics, 2021

Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.

Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Fatta B. Nahab, Ritesh A. Ramdhani

Sensors, 2021

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.

Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh Chinthala, Robert L. Davis, Rishikesan Kamaleswaran

Comput. Biol. Medicine, 2021

Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease.

Aradhana Soni, Benjamin Amrhein, Matthew Baucum, Eun Jin Paek, Anahita Khojandi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease.

Ahmad Mitoubsi, Zeyu Liu, Danny Banks, Anahita Khojandi, Michael Oliver, Daniel Cox, Roberto Fernandez

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.

Marjory Day, Rupam Kumar Dey, Matthew Baucum, Eun Jin Paek, Hyejin Park, Anahita Khojandi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease.

Matt Baucum, Anahita Khojandi, Theodore Papamarkou

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles.

Franco van Wyk, Yiyang Wang, Anahita Khojandi, Neda Masoud

IEEE Trans. Intell. Transp. Syst., 2020

On the k-Strong Roman Domination Problem.

Zeyu Liu, Xueping Li, Anahita Khojandi

Discret. Appl. Math., 2020

Hidden Markov models are recurrent neural networks: A disease progression modeling application.

Matt Baucum, Anahita Khojandi, Theodore Papamarkou

CoRR, 2020

Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation.

Yiyang Wang, Neda Masoud, Anahita Khojandi

CoRR, 2020

Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning.

Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Predicting Alzheimer's Disease Using Driving Simulator Data.

Ryan Blanchette, Anahita Khojandi, Daniel Cox, Michael Oliver, Roberto Fernandez

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

Franco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran

IEEE J. Biomed. Health Informatics, 2019

Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.

Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran

J. Heal. Informatics Res., 2019

A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.

Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran

J. Heal. Informatics Res., 2019

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran

Int. J. Medical Informatics, 2019

Automatic EEG classification: a path to smart and connected sleep interventions.

Anahita Khojandi, Oleg Shylo, Maryam Zokaeinikoo

Ann. Oper. Res., 2019

An Optimization via Agent-based Simulation Framework to Integrate Stochastic Programming with Human Introduced Uncertainty.

Mohammad Ramshani, Xueping Li, Anahita Khojandi, Lorna Treffert

Proceedings of the 2019 Winter Simulation Conference, 2019

On the Extension of Schelling's Segregation Model.

Zeyu Liu, Xueping Li, Anahita Khojandi, Sanja Lazarova-Molnar

Proceedings of the 2019 Winter Simulation Conference, 2019

A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data.

Franco van Wyk, Anahita Khojandi, Neda Masoud

Proceedings of the Intelligent Systems and Applications, 2019

2018

Dynamic Abandon/Extract Decisions for Failed Cardiac Leads.

Anahita Khojandi, Lisa M. Maillart, Oleg A. Prokopyev, Mark S. Roberts, Samir F. Saba

Manag. Sci., 2018

Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.

Ritesh A. Ramdhani, Anahita Khojandi, Oleg Shylo, Brian H. Kopell

Frontiers Comput. Neurosci., 2018

2017

An agent based model for joint placement of PV panels and green roofs.

Xueping Li, Mohammad Ramshani, Anahita Khojandi, Olufemi A. Omitaomu, Jon Michael Hathaway

Proceedings of the 2017 Winter Simulation Conference, 2017

2014

Optimal Implantable Cardioverter Defibrillator (ICD) Generator Replacement.

Anahita Khojandi, Lisa M. Maillart, Oleg A. Prokopyev, Mark S. Roberts, Timothy Brown, William W. Barrington

INFORMS J. Comput., 2014