Anahita Khojandi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 41

Top Topics

Reinforcement Learning

Subthalamic Nucleus

Partially Observable

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Curtis Rookard, Anahita Khojandi
RRIoT: Recurrent reinforcement learning for cyber threat detection on IoT devices. Comput. Secur. 140 (2024)
Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan
Bias in Reinforcement Learning: A Review in Healthcare Applications. ACM Comput. Surv. 56 (2) (2024)
Akash Mishra, Vikram Bajaj, Toni Fitzpatrick, Jeremy Watts, Anahita Khojandi, Ritesh A. Ramdhani
Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease. Sensors 24 (13) (2024)
Mahboubeh Madadi, Shahrbanoo Rezaei, Anahita Khojandi
Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems. Comput. Ind. Eng. 187 (2024)
Matt Baucum, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani
Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease. Manag. Sci. 69 (10) (2023)
Shahrbanoo Rezaei, Jeremiah Gbadegoye, Neda Masoud, Anahita Khojandi
A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving. ICCAD (2023)
Rupam Kumar Dey, Anahita Khojandi, Kalyan Perumalla
Determining the Most Significant Metadata Features to Indicate Defective Software Commits. SERA (2023)
Matt Baucum, Anahita Khojandi, Carole Myers, Larry Kessler
Optimizing Substance Use Treatment Selection Using Reinforcement Learning. ACM Trans. Manag. Inf. Syst. 14 (2) (2023)
Kalina Scarbrough, Padmini Persaud, Isidora Fletcher, Aaron Alexander Akin, Jon Hathaway, Anahita Khojandi
Real-time sensor-based prediction of soil moisture in green infrastructure: A case study. Environ. Model. Softw. 162 (2023)
Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Theodore Papamarkou
Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection. EMBC (2023)
Curtis Rookard, Anahita Khojandi
Applying Deep Reinforcement Learning for Detection of Internet-of- Things Cyber Attacks. CCWC (2023)
Curtis Rookard, Austin Crabtree, Joseph Dan Trujillo, Anahita Khojandi
Secure Analytics for Embedded Systems through Machine Learning Applications using TrustZones. UEMCON (2022)
Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Farideh Jalali-Najafabadi, Theodore Papamarkou
Adapting Random Forests to Predict Obesity-Associated Gene Expression. EMBC (2022)
Jeremy Watts, Franco van Wyk, Shahrbanoo Rezaei, Yiyang Wang, Neda Masoud, Anahita Khojandi
A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Zefeng Lyu, Zeyu Liu, Anahita Khojandi, Andrew Junfang Yu
Q-learning and traditional methods on solving the pocket Rubik's cube. Comput. Ind. Eng. 171 (2022)
Zeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L. Davis, Rishikesan Kamaleswaran
A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. INFORMS J. Comput. 34 (4) (2022)
Matthew Baucum, Anahita Khojandi, Rama K. Vasudevan
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Fatta B. Nahab, Ritesh A. Ramdhani
Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology. Sensors 21 (10) (2021)
Matt Baucum, Anahita Khojandi, Theodore Papamarkou
Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease. BIBE (2021)
Aradhana Soni, Benjamin Amrhein, Matthew Baucum, Eun Jin Paek, Anahita Khojandi
Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease. EMBC (2021)
Marjory Day, Rupam Kumar Dey, Matthew Baucum, Eun Jin Paek, Hyejin Park, Anahita Khojandi
Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach. EMBC (2021)
Ahmad Mitoubsi, Zeyu Liu, Danny Banks, Anahita Khojandi, Michael Oliver, Daniel Cox, Roberto Fernandez
Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease. EMBC (2021)
Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh Chinthala, Robert L. Davis, Rishikesan Kamaleswaran
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. Comput. Biol. Medicine 131 (2021)
Yiyang Wang, Neda Masoud, Anahita Khojandi
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors. IEEE Trans. Intell. Transp. Syst. 22 (3) (2021)
Zeyu Liu, Xueping Li, Anahita Khojandi
On the k-Strong Roman Domination Problem. Discret. Appl. Math. 285 (2020)
Franco van Wyk, Yiyang Wang, Anahita Khojandi, Neda Masoud
Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles. IEEE Trans. Intell. Transp. Syst. 21 (3) (2020)
Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning. EMBC (2020)
Ryan Blanchette, Anahita Khojandi, Daniel Cox, Michael Oliver, Roberto Fernandez
Predicting Alzheimer's Disease Using Driving Simulator Data. EMBC (2020)
Matt Baucum, Anahita Khojandi, Theodore Papamarkou
Hidden Markov models are recurrent neural networks: A disease progression modeling application. CoRR (2020)
Yiyang Wang, Neda Masoud, Anahita Khojandi
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation. CoRR (2020)
Mohammad Ramshani, Xueping Li, Anahita Khojandi, Lorna Treffert
An Optimization via Agent-based Simulation Framework to Integrate Stochastic Programming with Human Introduced Uncertainty. WSC (2019)
Franco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Franco van Wyk, Anahita Khojandi, Neda Masoud
A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data. IntelliSys (2) (2019)
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3 (2) (2019)
Anahita Khojandi, Oleg Shylo, Maryam Zokaeinikoo
Automatic EEG classification: a path to smart and connected sleep interventions. Ann. Oper. Res. 276 (1-2) (2019)
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3 (2) (2019)
Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. Int. J. Medical Informatics 122 (2019)
Zeyu Liu, Xueping Li, Anahita Khojandi, Sanja Lazarova-Molnar
On the Extension of Schelling's Segregation Model. WSC (2019)
Ritesh A. Ramdhani, Anahita Khojandi, Oleg Shylo, Brian H. Kopell
Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling. Frontiers Comput. Neurosci. 12 (2018)
Anahita Khojandi, Lisa M. Maillart, Oleg A. Prokopyev, Mark S. Roberts, Samir F. Saba
Dynamic Abandon/Extract Decisions for Failed Cardiac Leads. Manag. Sci. 64 (2) (2018)
Xueping Li, Mohammad Ramshani, Anahita Khojandi, Olufemi A. Omitaomu, Jon Michael Hathaway
An agent based model for joint placement of PV panels and green roofs. WSC (2017)
Anahita Khojandi, Lisa M. Maillart, Oleg A. Prokopyev, Mark S. Roberts, Timothy Brown, William W. Barrington
Optimal Implantable Cardioverter Defibrillator (ICD) Generator Replacement. INFORMS J. Comput. 26 (3) (2014)