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)

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 (WSC, 2017)

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)

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)

A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data. - Franco van Wyk; Anahita Khojandi; Neda Masoud (IntelliSys (2), 2019)

On the Extension of Schelling's Segregation Model. - Zeyu Liu 002; Xueping Li; Anahita Khojandi; Sanja Lazarova-Molnar (WSC, 2019)

An Optimization via Agent-based Simulation Framework to Integrate Stochastic Programming with Human Introduced Uncertainty. - Mohammad Ramshani; Xueping Li; Anahita Khojandi; Lorna Treffert (WSC, 2019)

Automatic EEG classification: a path to smart and connected sleep interventions. - Anahita Khojandi; Oleg Shylo; Maryam Zokaeinikoo (Ann. Oper. 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)

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)

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)

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)

Predicting Alzheimer's Disease Using Driving Simulator Data. - Ryan Blanchette; Anahita Khojandi; Daniel Cox; Michael Oliver; Roberto Fernandez 003 (EMBC, 2020)

Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning. - Jeremy Watts; Anahita Khojandi; Rama K. Vasudevan; Ritesh A. Ramdhani (EMBC, 2020)

Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation. - Yiyang Wang 002; Neda Masoud; Anahita Khojandi (CoRR, 2020)

Hidden Markov models are recurrent neural networks: A disease progression modeling application. - Matt Baucum; Anahita Khojandi; Theodore Papamarkou (CoRR, 2020)

On the k-Strong Roman Domination Problem. - Zeyu Liu 002; Xueping Li; Anahita Khojandi (Discret. Appl. Math., 2020)

Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles. - Franco van Wyk; Yiyang Wang 002; Anahita Khojandi; Neda Masoud (IEEE Trans. Intell. Transp. Syst., 2020)

Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease. - Matt Baucum; Anahita Khojandi; Theodore Papamarkou (BIBE, 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 (EMBC, 2021)

Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease. - Ahmad Mitoubsi; Zeyu Liu 002; Danny Banks; Anahita Khojandi; Michael Oliver; Daniel Cox; Roberto Fernandez 003 (EMBC, 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 (EMBC, 2021)

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. - Zeyu Liu 002; Anahita Khojandi; Akram Mohammed; Xueping Li; Lokesh K. Chinthala; Robert L. Davis; Rishikesan Kamaleswaran (Comput. Biol. Medicine, 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)

Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application. - Matthew Baucum; Anahita Khojandi; Rama K. Vasudevan (IEEE J. Biomed. Health Informatics, 2021)

Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors. - Yiyang Wang 002; Neda Masoud; Anahita Khojandi (IEEE Trans. Intell. Transp. Syst., 2021)

Adapting Random Forests to Predict Obesity-Associated Gene Expression. - Jeremy Watts; Elexis Allen; Ahmad Mitoubsi; Anahita Khojandi; James Eales; Farideh Jalali-najafabadi; Theodore Papamarkou (EMBC, 2022)

Secure Analytics for Embedded Systems through Machine Learning Applications using TrustZones. - Curtis Rookard; Austin Crabtree; Joseph Dan Trujillo; Anahita Khojandi (UEMCON, 2022)

Q-learning and traditional methods on solving the pocket Rubik's cube. - Zefeng Lyu; Zeyu Liu 002; Anahita Khojandi; Andrew Junfang Yu (Comput. Ind. Eng., 2022)

A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. - Zeyu Liu 002; Anahita Khojandi; Xueping Li; Akram Mohammed; Robert L. Davis; Rishikesan Kamaleswaran (INFORMS J. Comput., 2022)

A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection. - Jeremy Watts; Franco van Wyk; Shahrbanoo Rezaei; Yiyang Wang 002; Neda Masoud; Anahita Khojandi (IEEE Trans. Intell. Transp. Syst., 2022)

Applying Deep Reinforcement Learning for Detection of Internet-of- Things Cyber Attacks. - Curtis Rookard; Anahita Khojandi (CCWC, 2023)

Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection. - Jeremy Watts; Elexis Allen; Ahmad Mitoubsi; Anahita Khojandi; James Eales; Theodore Papamarkou (EMBC, 2023)

A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving. - Shahrbanoo Rezaei; Jeremiah Gbadegoye; Neda Masoud; Anahita Khojandi (ICCAD, 2023)

Determining the Most Significant Metadata Features to Indicate Defective Software Commits. - Rupam Kumar Dey; Anahita Khojandi; Kalyan Perumalla (SERA, 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., 2023)

Optimizing Substance Use Treatment Selection Using Reinforcement Learning. - Matt Baucum; Anahita Khojandi; Carole Myers; Larry Kessler (ACM Trans. Manag. Inf. Syst., 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., 2023)

A Federated Learning-POMDP Approach for Network Intrusion Detection. - Curtis Rookard; Anahita Khojandi (ICMLC, 2024)

RRIoT: Recurrent reinforcement learning for cyber threat detection on IoT devices. - Curtis Rookard; Anahita Khojandi (Comput. Secur., 2024)

Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems. - Mahboubeh Madadi; Shahrbanoo Rezaei; Anahita Khojandi (Comput. Ind. Eng., 2024)

Bias in Reinforcement Learning: A Review in Healthcare Applications. - Benjamin Smith; Anahita Khojandi; Rama K. Vasudevan (ACM Comput. Surv., 2024)

Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease. - Akash Mishra; Vikram Bajaj; Toni Fitzpatrick; Jeremy Watts; Anahita Khojandi; Ritesh A. Ramdhani (Sensors, 2024)

The role of AI in detecting and mitigating human errors in safety-critical industries: A review. - Ezgi Gursel; Mahboubeh Madadi; Jamie Baalis Coble; Vivek Agarwal; Vaibhav Yadav; Ronald L. Boring; Anahita Khojandi (Reliab. Eng. Syst. Saf., 2025)

Using GANs to predict milling stability from limited data. - Shahrbanoo Rezaei; Aaron Cornelius; Jaydeep Karandikar; Tony Schmitz; Anahita Khojandi (J. Intell. Manuf., 2025)

Unsupervised Machine Learning for Cybersecurity Anomaly Detection in Traditional and Software-Defined Networking Environments. - Curtis Rookard; Anahita Khojandi (IEEE Trans. Netw. Serv. Manag., 2025)