Anahita Khojandi

47 papers A 1C 2Misc 4Journal 30Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A primal-dual policy iteration algorithm for constrained Markov decision processes.
Eur. J. Oper. Res.
Zeyu Liu, Xueping Li, Anahita Khojandi
2025 J jnl
The role of AI in detecting and mitigating human errors in safety-critical industries: A review.
Reliab. Eng. Syst. Saf.
Ezgi Gursel, Mahboubeh Madadi, Jamie Baalis Coble, Vivek Agarwal, Vaibhav Yadav, Ronald L. Boring, Anahita Khojandi
2025 J jnl
Unsupervised Machine Learning for Cybersecurity Anomaly Detection in Traditional and Software-Defined Networking Environments.
IEEE Trans. Netw. Serv. Manag.
Curtis Rookard, Anahita Khojandi
2025 J jnl
Using GANs to predict milling stability from limited data.
J. Intell. Manuf.
Shahrbanoo Rezaei, Aaron Cornelius, Jaydeep Karandikar, Tony Schmitz, Anahita Khojandi
2024 Misc conf
A Federated Learning-POMDP Approach for Network Intrusion Detection.
ICMLC
Curtis Rookard, Anahita Khojandi
2024 J jnl
Bias in Reinforcement Learning: A Review in Healthcare Applications.
ACM Comput. Surv.
Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan
2024 J jnl
Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease.
Sensors
Akash Mishra, Vikram Bajaj, Toni Fitzpatrick, Jeremy Watts, Anahita Khojandi, Ritesh A. Ramdhani
2024 J jnl
Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems.
Comput. Ind. Eng.
Mahboubeh Madadi, Shahrbanoo Rezaei, Anahita Khojandi
2024 J jnl
RRIoT: Recurrent reinforcement learning for cyber threat detection on IoT devices.
Comput. Secur.
Curtis Rookard, Anahita Khojandi
2023 A conf
A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving.
ICCAD
Shahrbanoo Rezaei, Jeremiah Gbadegoye, Neda Masoud, Anahita Khojandi
2023 — conf
Applying Deep Reinforcement Learning for Detection of Internet-of- Things Cyber Attacks.
CCWC
Curtis Rookard, Anahita Khojandi
2023 C conf
Determining the Most Significant Metadata Features to Indicate Defective Software Commits.
SERA
Rupam Kumar Dey, Anahita Khojandi, Kalyan Perumalla
2023 J jnl
Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease.
Manag. Sci.
Matt Baucum, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani
2023 J jnl
Optimizing Substance Use Treatment Selection Using Reinforcement Learning.
ACM Trans. Manag. Inf. Syst.
Matt Baucum, Anahita Khojandi, Carole Myers, Larry Kessler
2023 J jnl
Real-time sensor-based prediction of soil moisture in green infrastructure: A case study.
Environ. Model. Softw.
Kalina Scarbrough, Padmini Persaud, Isidora Fletcher, Aaron Alexander Akin, Jon Hathaway, Anahita Khojandi
2023 — conf
Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection.
EMBC
Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Theodore Papamarkou
2022 J jnl
A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection.
IEEE Trans. Intell. Transp. Syst.
Jeremy Watts, Franco van Wyk, Shahrbanoo Rezaei, Yiyang Wang, Neda Masoud, Anahita Khojandi
2022 J jnl
A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction.
INFORMS J. Comput.
Zeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L. Davis, Rishikesan Kamaleswaran
2022 — conf
Adapting Random Forests to Predict Obesity-Associated Gene Expression.
EMBC
Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Farideh Jalali-najafabadi, Theodore Papamarkou
2022 J jnl
Q-learning and traditional methods on solving the pocket Rubik's cube.
Comput. Ind. Eng.
Zefeng Lyu, Zeyu Liu, Anahita Khojandi, Andrew Junfang Yu
2022 — conf
Secure Analytics for Embedded Systems through Machine Learning Applications using TrustZones.
UEMCON
Curtis Rookard, Austin Crabtree, Joseph Dan Trujillo, Anahita Khojandi
2021 — conf
Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease.
EMBC
Ahmad Mitoubsi, Zeyu Liu, Danny Banks, Anahita Khojandi, Michael Oliver, Daniel Cox, Roberto Fernandez
2021 J jnl
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.
Comput. Biol. Medicine
Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh K. Chinthala, Robert L. Davis, Rishikesan Kamaleswaran
2021 C conf
Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease.
BIBE
Matt Baucum, Anahita Khojandi, Theodore Papamarkou
2021 J jnl
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application.
IEEE J. Biomed. Health Informatics
Matthew Baucum, Anahita Khojandi, Rama K. Vasudevan
2021 J jnl
Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.
Sensors
Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Fatta B. Nahab, Ritesh A. Ramdhani
2021 — conf
Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.
EMBC
Marjory Day, Rupam Kumar Dey, Matthew Baucum, Eun Jin Paek, Hyejin Park, Anahita Khojandi
2021 J jnl
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors.
IEEE Trans. Intell. Transp. Syst.
Yiyang Wang, Neda Masoud, Anahita Khojandi
2021 — conf
Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease.
EMBC
Aradhana Soni, Benjamin Amrhein, Matthew Baucum, Eun Jin Paek, Anahita Khojandi
2020 J jnl
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation.
CoRR
Yiyang Wang, Neda Masoud, Anahita Khojandi
2020 J jnl
Hidden Markov models are recurrent neural networks: A disease progression modeling application.
CoRR
Matt Baucum, Anahita Khojandi, Theodore Papamarkou
2020 J jnl
On the k-Strong Roman Domination Problem.
Discret. Appl. Math.
Zeyu Liu, Xueping Li, Anahita Khojandi
2020 — conf
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning.
EMBC
Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani
2020 — conf
Predicting Alzheimer's Disease Using Driving Simulator Data.
EMBC
Ryan Blanchette, Anahita Khojandi, Daniel Cox, Michael Oliver, Roberto Fernandez
2020 J jnl
Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles.
IEEE Trans. Intell. Transp. Syst.
Franco van Wyk, Yiyang Wang, Anahita Khojandi, Neda Masoud
2019 J jnl
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res.
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
2019 — conf
A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data.
IntelliSys (2)
Franco van Wyk, Anahita Khojandi, Neda Masoud
2019 J jnl
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
Int. J. Medical Informatics
Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran
2019 Misc conf
An Optimization via Agent-based Simulation Framework to Integrate Stochastic Programming with Human Introduced Uncertainty.
WSC
Mohammad Ramshani, Xueping Li, Anahita Khojandi, Lorna Treffert
2019 J jnl
Automatic EEG classification: a path to smart and connected sleep interventions.
Ann. Oper. Res.
Anahita Khojandi, Oleg Shylo, Maryam Zokaeinikoo
2019 J jnl
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res.
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
2019 J jnl
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.
IEEE J. Biomed. Health Informatics
Franco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran
2019 Misc conf
On the Extension of Schelling's Segregation Model.
WSC
Zeyu Liu, Xueping Li, Anahita Khojandi, Sanja Lazarova-Molnar
2018 J jnl
Dynamic Abandon/Extract Decisions for Failed Cardiac Leads.
Manag. Sci.
Anahita Khojandi, Lisa M. Maillart, Oleg A. Prokopyev, Mark S. Roberts, Samir F. Saba
2018 J jnl
Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.
Frontiers Comput. Neurosci.
Ritesh A. Ramdhani, Anahita Khojandi, Oleg Shylo, Brian H. Kopell
2017 Misc conf
An agent based model for joint placement of PV panels and green roofs.
WSC
Xueping Li, Mohammad Ramshani, Anahita Khojandi, Olufemi A. Omitaomu, Jon Michael Hathaway
2014 J jnl
Optimal Implantable Cardioverter Defibrillator (ICD) Generator Replacement.
INFORMS J. Comput.
Anahita Khojandi, Lisa M. Maillart, Oleg A. Prokopyev, Mark S. Roberts, Timothy Brown, William W. Barrington