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Anahita Khojandi

Heath Endowed Faculty Fellow in Business & Engineering and Associate Professor

Anahita Khojandi

Contact Information

521 John D. Tickle Engineering Building,
851 Neyland Drive,
Knoxville, TN 37996-2315

Phone
865-974-0234

Email
khojandi@utk.edu

Research Areas

Methodologies

  • Markov decision processes
  • Dynamic programming
  • Predictive analytics
  • Reinforcement learning
  • Time series analysis
  • Anomaly detection
  • Applied probability and statistics

Applications

  • Medical decision making
  • Environmental engineering and sustainability
  • Civil infrastructure planning
  • Intelligent transportation system
  • Maintenance optimization
  • Advanced manufacturing

Biography

Anahita Khojandi is an associate professor in the Department of Industrial and Systems Engineering and Heath Endowed Faculty Fellow in Business & Engineering at the University of Tennessee-Knoxville. She received her Ph.D. in Industrial Engineering from University of Pittsburgh. Her research interests include decision making under uncertainty and partial information, machine learning, and reinforcement learning, with applications in healthcare and genomics, environmental engineering and sustainability, intelligent transportation systems, manufacturing, and maintenance optimization.

Dr. Khojandi’s research has been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the Department of Energy (DOE), among others. In 2023, she was awarded the NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (NIH AIM-AHEAD) Fellowship in Leadership. She currently serves as the Vice President of Membership and Professional Recognition and has previously served as the chair of Diversity, Equity, and Inclusion Committee at INFORMS. She is a member of INFORMS, IISE, and IEEE.

  • American Association for the Advancement of Science, Science and Technology Policy Fellowships, Rapid Response Cohort in AI Fellow, 2024-present
  • University of Tennessee, Knoxville, TN, Assistant Professor, Industrial and Systems Engineering, 2014-2020
  • University of Tennessee, Knoxville, TN, Associate Professor, Industrial and Systems Engineering, 2020-present
  • Bredesen Center for Interdisciplinary Research and Graduate Education, Adjunct Assistant Professor, 2019-2020
  • Bredesen Center for Interdisciplinary Research and Graduate Education, Joint Associate Professor, 2020-present
  • Tickle College of Engineering, Director of the Reliability and Maintainability Engineering Program, 2021-2024
  • Tickle College of Engineering, Heath Endowed Faculty Fellow in Business and Engineering, 2023-present

Curriculum Vitae

Education

  • PhD, Industrial Engineering, University of Pittsburgh
  • MS, Industrial Engineering, University of Pittsburgh
  • BS, Industrial Engineering, Sharif University of Technology (Tehran, Iran)

Courses Taught

  • Engineering Statistics
  • Introduction to Reliability Engineering
  • Stochastic Processes
  • Advanced Topics: Decision Making
  • Applied Data Science

Honors and Awards

  • AAAS Science & Technology Policy Fellowships (STPF) Rapid Response Cohort in AI Fellow, 2024-2025
  • Teaching Award, Data Analytics & Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE), 2024
  • INFORMS Senior Member, INFORMS, 2024
  • NIH AIM-AHEAD Fellowship Program in Leadership, 2023-2024
  • Expanding Horizons 2023-2024 Cohort Member, UTK, 2023
  • First Place, Harvey J. Greenberg Research Award, INFORMS Computing Society, 2022
  • Volunteer Service Award, INFORMS, 2022
  • Professional Promise in Research Award, Tickle College of Engineering, UTK, 2022
  • Best Paper Award of the Year, OMEGA – The International Journal of Management Science, 2021
  • Dr. Kenneth E. Kirby Endowed Faculty Award, Department of Industrial and Systems Engineering, UTK, 2021
  • Best Paper Award of the Year, OMEGA – The International Journal of Management Science, 2020 Outstanding Faculty Award, Department of Industrial and Systems Engineering, UTK, 2020
  • Success in Multidisciplinary Research Award for Health Innovation Technology & Simulation (HITS) Lab, UTK, 2019
  • Fellow, Center for Transportation Research, UTK, 2016
  • Best Track Paper, Engineering Economic Analysis, ISERC, 2016
  • Honorable Mention, George B. Dantzig Dissertation Award, INFORMS, 2014
  • Finalist, Lee Lusted Award, Society for Medical Decision Making (SMDM), 2013

Referred Papers

  1. Gursel, E.†, M. Madadi, J.B. Coble, V. Agarwal, V. Yadav, R.L. Boring, A. Khojandi. The Role of AI in Detecting and Mitigating Human Errors in Safety-Critical Industries: A Review. Reliability Engineering and System Safety, 2024 (forthcoming).
  2. Alberts, M.†, St. John, S.†, S. Odie, A. Khojandi, B. Jared, T. Schmitz, J. Karandikar, J.B. Coble. Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machin- ing Data. Machines, 2024 (forthcoming).
  3. Alberts, M.†, St. John, S.†, S. Odie, B. Jared, J. Karandikar, A. Khojandi, T. Schmitz, J.B. Coble. A Data-Driven Framework for Predicting Machining Stability: Employing Simulated Data, Oper- ational Modal Analysis, and Enhanced Transfer Learning. The International Journal of Advanced Manufacturing Technology, 2024 (forthcoming).
  4. Rookard, C.†, A. Khojandi. Unsupervised Machine Learning for Cybersecurity Anomaly Detection in Traditional and Software-Defined Networking Environments. IEEE Transactions on Network and Service Management, 2024 (forthcoming, DOI: 10.1109/TNSM.2024.3490181).
  5. Reddy, B., E. Gursel†, K. Daniels†, A. Khojandi, J.B. Coble, V. Agarwal, R.L. Boring, V. Yadav, M. Madadi. Uncertainty-Aware and Explainable Human Error Detection in the Operation of Nuclear Power Plant. Nuclear Technology, 210(12), 2312-2330, 2024.
  6. Gursel, E.†, B. Reddy, K. Daniels†, J.B. Coble, M. Madadi, V. Agarwal, R.L. Boring, V. Yadav, A. Khojandi. SPIDARman: System-level Physics-Informed Detection of Anomalies in Reactor Col- lected Data Considering Human Errors. Nuclear Technology, 210(12), 2299-2311, 2024.
  7. Watts, J.†, M. Niethammer, A. Khojandi, R. Ramdhani. Machine Learning Model Comparison for Freezing of Gait Prediction in Advanced Parkinson’s Disease Patients. Frontiers in Aging Neuro- science, 16, 1431280, 2024.
  8. Mishra, A., V. Bajaj, T. Fitzpatrick, J. Watts†, A. Khojandi, R. Ramdhani. Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Com- ponents of Bradykinesia in Parkinson’s Disease. Sensors, 24(13), 4296, 2024.
  9. Wood-Ponce, R.†, G. Diab, Z. Liu†, R. Blanchette†, J. Hathaway, A. Khojandi. Developing Data- Driven Learning Models to Predict Urban Stormwater Runoff Volume: A Case Study. Urban Water Journal, 21(5), 549-564, 2024.
  10. Rezaei, S.†, N. Masoud, A. Khojandi. GAAD: GAN-enabled Autoencoder for Real-Time Sensor Anomaly Detection and Recovery in Autonomous Driving. IEEE Sensors Journal, 24(7), 11734-11742, 2024.
  11. Rezaei, S.†, A. Cornelius, J. Karandikar, T. Schmitz, A. Khojandi. Using GANs to Predict Milling Stability from Limited Data. Journal of Intelligent Manufacturing, 1-35, 2024.
  12. Alberts, M.†, St. John, S.†, B. Jared, J. Karandikar, A. Khojandi, T. Schmitz, J.B. Coble. Chat- ter Detection in Simulated Machining Data: A Simple Refined Approach to Vibration Data. The International Journal of Advanced Manufacturing Technology, 132, 4541-4557, 2024.
  13. Rookard, C.†, A. Khojandi. RRIoT: Recurrent Reinforcement Learning for Cyber Threat Detection on IoT Devices. Computers & Security, 140, 103786, 2024.
  1. Smith, B.†, B. Pant, Y. Liu, Y. Liu, J. Yang, S. Jesse, A. Khojandi, S.V. Kalinin, Y. Cao, R.K. Vasudevan. Physics-Informed Models of Domain Wall Dynamics as a Route for Autonomous Domain Wall Design via Reinforcement Learning. Digital Discovery, 3, 456-466, 2024.
  2. Madadi, M., Rezaei, S.† A. Khojandi. Dynamic Joint Sensor Selection and Maintenance Optimiza- tion in Partially Observable Deteriorating Systems. Computers & Industrial Engineering, 187, 109853, 2024.
  3. Baucum, M.†, A. Khojandi, R.K. Vasudevan, R. Ramdhani. Optimizing Patient-Specific Medica- tion Regimen Policies Using Wearable Sensors in Parkinson’s Disease. Management Science, 69(10), 5964-5982, 2023.
  4. Ramdhani, R., J. Watts†, C. Sison, T. Fitzpatrick, M. Niethammer, A. Khojandi. Differential Spa- tiotemporal Gait Effects with Frequency and Dopaminergic Modulation in STN-DBS. Frontiers in Aging Neuroscience, 15, 1206533, 2023.
  5. Smith, B.†, A. Khojandi, R.K. Vasudevan. Bias in Reinforcement Learning: A Review in Healthcare Applications. ACM Computing Surveys, 56(2), 1-17, 2023.
  6. Liu, Z.†, M. Ramshani‡, A. Khojandi, X. Li. Optimal Utilization of Integrated Photovoltaic Battery Systems: An Application in the Residential Sector. IISE Transactions, 55(12), 1203-1216, 2023.*Featured in the research section of the November 2023 issue of the Industrial and Systems Engineer (ISE) Magazine, 2023
  7. Smith, B.†, S. Van Steelandt‡, A. Khojandi. Evaluating the Impact of Healthcare Data Completeness for Deep Generative Models. Methods of Information in Medicine, 62(01/02), 031-039, 2023.
  8. Scarbrough, K.†, P. Persaud, I. Fletcher†, A.A. Akin‡, J.M. Hathaway, A. Khojandi. Real-Time Sensor-Based Prediction of Soil Moisture in Green Infrastructure: A Case Study. Environmental Modelling and Software, 162, 105638, 2023.
  9. St. John, S.†, M. Alberts†, J. Karandikar, J.B. Coble, B. Jared, T. Schmitz, C. Ramsauer, D. Leitner, A. Khojandi. Predicting Chatter Using Machine Learning and Acoustic Signals from Low Cost Mi- crophones. The International Journal of Advanced Manufacturing Technology, 125(11-12), 5503-5518, 2023.
  10. Baucum, M.†, A. Khojandi, C.R. Myers, L. Kessler. Optimizing Substance Use Treatment Selection Using Reinforcement Learning. Transactions on Management Information Systems, 14(2), 1-30, 2023.
  11. Gursel, E.†, B. Reddy, A. Khojandi, M. Madadi, J.B. Coble, V. Agarwal, V. Yadav, R.L. Boring. Using Artificial Intelligence to Detect Human Errors in Nuclear Power Plants: A Case in Operation and Maintenance. Nuclear Engineering and Technology, 55(2), 603-622, 2023.*Innovations in Nuclear Energy Research and Development Student Competition Award, Nuclear Energy University Program (NEUP), 2023
  12. Weathers, M.‡, J.M. Hathaway, R.A. Tirpak, A. Khojandi. Evaluating the Impact of Climate Change on Future Bioretention Performance Across the Contiguous United States. Journal of Hydrology, 616, 128771, 2023.
  13. Sethu, M., B. Kotla, D. Russell, M. Madadi, N.A. Titu†, J.B. Coble, R.L. Boring, K. Blache, V. Agarwal, V. Yadav, A. Khojandi. Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review. Nuclear Technology, 209(3), 276-294, 2023.
  14. Ramdhani, R.A., A. Khojandi, B.H. Kopell. An Editorial on Advancing the Treatment Landscape of Parkinson’s Disease Using Sensor Technology and Data-Driven Modeling. Frontiers in Aging Neu- roscience, 14, 2022.
  15. Baucum, M.†, A. Khojandi, R.K. Vasudevan, R.L. Davis. Adapting Reinforcement Learning Treat- ment Policies Using Limited Data to Personalize Critical Care. INFORMS Journal on Data Science, 1(1), 27-49, 2022.
  1. Liu, Z.†, A. Khojandi, X. Li, A. Mohammed, R.L. Davis, R. Kamaleswaran. A Machine Learning- Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. IN- FORMS Journal on Computing, 34(4), 2039-2057, 2022.*First Place, Harvey J. Greenberg Research Award, INFORMS Computing Society, 2022
  2. Watts, J.†, F. van Wyk†, S. Rezaei†, Y. Wang, N. Masoud, A. Khojandi. A Dynamic Deep Rein- forcement Learning-Bayesian Framework for Anomaly Detection. IEEE Transactions on Intelligent Transportation Systems, 23(12), 22884-22894, 2022.
  3. Akin, A.A.‡, Hathaway, J.M., A. Khojandi, Turbidity Informed Real-Time Control of a Dry Ex- tended Detention Basin: A Case Study. Environmental Science: Water Research & Technology 8(10), 2040-2051, 2022.
  4. Lyu, Z., Liu, Z.†, A. Khojandi, A. Yu. Q-learning and Traditional Methods on Solving the Pocket Rubik’s Cube. Computers & Industrial Engineering, 108452, 2022.
  5. Liu, Z.†, X. Li, A. Khojandi. The Flying Sidekick Traveling Salesman Problem with Stochastic Travel Time: A Reinforcement Learning Approach. Transportation Research Part E: Logistics and Transportation Review, 164, 102816, 2022.
  6. Rezaei, S.†, A. Khojandi, A. Haque‡, C. Brakewood, M. Jin, C. Cherry. Park-and-Ride Facility Loca- tion Optimization: A Case Study for Nashville, Tennessee. Transportation Research Interdisciplinary Perspectives, 13, 100578, 2022.
  7. Liu, X., N. Masoud, Q. Zhu, A. Khojandi. A Markov Decision Process Framework to Incorpo- rate Network-Level Data in Motion Planning for Connected and Automated Vehicles. Transportation Research Part C: Emerging Technologies, 136, 103550, 2022.
  8. Rezaei, S.†, A. Khojandi, A. Haque‡, C. Brakewood, M. Jin, C. Cherry. Performance Evaluation of Mode Choice Models Under Balanced and Imbalanced Data Assumptions. Transportation Letters: The International Journal of Transportation Research, 14(8), 920-932, 2022.
  9. Haque, A.‡, C. Brakewood, S. Rezaei†, A. Khojandi. A Literature Review on Park-and-Rides. Journal of Transport and Land Use, 14(1), 1039-1060, 2021.
  10. Mohammed, A., F. van Wyk†, L.K. Chinthala, A. Khojandi, R.L. Davis, C.M. Coopersmith, R. Ka- maleswaran. Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults. Shock: Injury, Inflammation, and Sepsis: Laboratory and Clinical Approaches, 56(1), 58-64, 2021.
  11. Baucum, M.†, A. Khojandi, R.K. Vasudevan. Improving Deep Reinforcement Learning with Transi- tional Variational Autoencoders: A Healthcare Application. IEEE Journal of Biomedical and Health Informatics, 25(6): 2273-2280, 2021.
  12. Tirpak, A., J. Hathaway, A. Khojandi, M. Weathers‡, T.H. Epps. Building Resiliency to Climate Change Uncertainty Through Bioretention Design Modifications. Journal of Environmental Manage- ment, 287: 112300, 2021.
  13. Watts, J.†, A. Khojandi, R.K. Vasudevan, F. Nahab, R. Ramdhani. Improving Medication Regimen Recommendation for Parkinson’s Disease Using Sensor Technology. Sensors, 21(10):3553, 2021.
  14. Liu, Z.†, A. Khojandi, A. Mohammed, X. Li, L.K. Chinthala, R.L. Davis, R. Kamaleswaran. HeMA: A Hierarchically Enriched Machine Learning Method for Managing False Alarms in Real Time: A Sep- sis Prediction Case Study. Computers in Biology and Medicine, 131: 104255, 2021.
  15. Wang, Y., N. Masoud, A. Khojandi. Real-Time Sensor Anomaly Detection and Recovery in Con- nected Automated Vehicle Sensors. IEEE Transactions on Intelligent Transportation Systems, 22(3): 1411-1421, 2021.
  16. Barah, M.†, A. Khojandi, X. Li, J. Hathaway, O. Omitaomu. Optimizing Green Infrastructure Place- ment Under Precipitation Uncertainty. Omega: The International Journal of Management Science, 100:102196, 2021.
  1. Watts, J.†, A. Khojandi, O. Shylo, R. Ramdhani. Machine Learning’s Application in Deep BrainStimulation for Parkinson’s Disease: A Review. Brain Sciences, 10(11), 809, 2020.
  2. Liu, Z.†, X. Li, A. Khojandi. On the k-Strong Roman Domination Problem. Discrete AppliedMathematics, 285: 227-241, 2020.
  3. Koszalinski, R.S., A. Khojandi, B. Ramshaw. Improving Shared Decision-Making and Treatment Planning Through Predictive Modeling: Clinical Insights on Ventral Hernia Repair. CIN: Computers, Informatics, Nursing, 38(5): 227-231, 2020.
  4. van Wyk, F.†, A. Khojandi, N. Masoud. Optimal Switching Policy Between Driving Entities in Semi- Autonomous Vehicles. Transportation Research Part C: Emerging Technologies, 114:517-531, 2020.
  5. van Wyk, F.†, Y. Wang, A. Khojandi, N. Masoud. Real-Time Sensor Anomaly Detection and Identi- fication in Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems, 21(3):1264- 1276, 2020.
  6. Ramshani, M.‡, X. Li, A. Khojandi, O. Omitaomu. An Agent-Based Approach to Study the Diffu- sion Rate and the Effect of Policies on Joint Placement of Photovoltaic Panels and Green Roof Under Climate Change Uncertainty. Applied Energy, 261:114402, 2020.
  7. Ramshani, M.‡, A. Khojandi, X. Li, O. Omitaomu. Optimal Planning of the Joint Placement of Photovoltaic Panels and Green Roofs Under Climate Change Uncertainty. Omega: The International Journal of Management Science, 90:101986, 2020.*Best Paper Award of the Year, OMEGA – The International Journal of Management Science, 2020
  8. van Wyk, F.†, A. Khojandi, R. Kamaleswaran. Improving Prediction Performance Using Hierar- chical Analysis of Real-Time Data: A Sepsis Case Study. IEEE Journal of Biomedical and Health Informatics, 23(3):978-986, 2019.
  9. van Wyk, F.†, A. Khojandi, B. Williams, D. MacMillan, R.L. Davis, D. Jacobson, R. Kamaleswaran. A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. Journal of Healthcare Informatics Research, 3(2):245-263, 2019.
  10. van Wyk, F.†, A. Khojandi, A. Mohammad, E. Begoli, R.L. Davis, R. Kamaleswaran. A Minimal Set of Physiomarkers in Continuous High Frequency Data Streams Predict Adult Sepsis Onset Earlier. International Journal of Medical Informatics, 122:55-62, 2019.
  11. Khojandi, A., O. Shylo, M. Zokaeinikoo†. Automatic EEG Classification: A Path to Smart and Connected Sleep Interventions. Annals of Operations Research, 276(1-2):169-190, 2019.
  12. Ramdhani, R.A., A. Khojandi, O. Shylo, B.H. Kopell. Optimizing Clinical Assessments in Parkin- son’s Disease Through the Use of Wearable Sensors and Data Driven Modeling. Frontiers In Compu- tational Neuroscience, 12:72, 2018.
  13. Khojandi, A., V. Tansakul†, X. Li, R.S. Koszalinski, W. Paiva. Prediction of Sepsis and In-Hospital Mortality Using Electronic Health Records. Methods of Information in Medicine, 57(04):185-193, 2018.
  14. Tirpak, R.A., J.M. Hathaway, J.A. Franklin, A. Khojandi. The Health of Trees in Bioretention: A Survey and Analysis of Influential Variables. Journal of Sustainable Water in the Built Environment, 4(4):04018011, 2018.
  15. Koszalinski, R.S., V. Tansakul†, A. Khojandi, X. Li. Missing Data, Data Cleansing and Treatment from a Primary Study: Implications for Predictive Models. CIN: Computers, Informatics, Nursing, 36(8):367-371, 2018.
  16. Khojandi, A., L.M. Maillart, O.A. Prokopyev, M.S. Roberts, S.F. Saba. Dynamic Abandon/Extract Decisions for Failed Cardiac Leads. Management Science, 64(2):633-651, 2018.
  17. Capan M., A. Khojandi, et al. From Data to Improved Decisions: Operations Research in Healthcare Delivery. Medical Decision Making, 37(8):849-859, 2017.
  1. Khojandi, A., O. Shylo, L. Mannini, B.H. Kopell, R.A. Ramdhani. Stratifying Parkinson’s Patients with STN-DBS into High-Frequency or 60Hz-Frequency Modulation Using a Computational Model. Neuromodulation: Technology at the Neural Interface, 20(5):450-5, 2017.
  2. Khojandi, A., L.M. Maillart, O.A. Prokopyev, M.S. Roberts, T. Brown, W.W. Barrington. Op- timal Implantable Cardioverter Defibrillator (ICD) Generator Replacement. INFORMS Journal on Computing, 26(3):599–615, 2014.
  3. Khojandi, A., L.M. Maillart, O.A. Prokopyev. Optimal Planning of Life-Depleting Maintenance Activities. IIE Transactions, 46(7):636–652, 2014.

Referred Conference Proceedings and Abstracts

  1. Bagheri, F.†, A. Wilkie, M. Vahsen, M. Blum, A. Khojandi. Quantifying the Impact of Environ- mental Factors on Marsh Plant Biomass: Insights on a New Allometric Equation. In International Conference on Sustainability and Technological Advancements in Engineering Domain (SUSTAINED – 2024), 2024 (forthcoming).
  2. Rookard, C.†, A. Khojandi. A Federated Learning-POMDP Approach for Network Intrusion Detec- tion. In International Conference on Machine Learning and Cybernetics (ICMLC), 2024 (forthcom- ing).
  3. Baucum, M.†, S. Van Steelandt, R. Vasudevan, R. Davis, N. Shafi, A. Khojandi. GIMI: Generative iterative multiple imputation for improving health trajectory estimation in the ICU. In 33rd European Conference on Operational Research (EURO 2024), 2024 (forthcoming).
  4. Clegg, D., P. Grande, J. Yoon, G. Onar, J. Watts†, A. Khojandi, V. Maroulas, S. Boukovalas. The Association of Hand Dominance with the Development of Breast Cancer Related Lymphedema After Mastectomy: A Single-Center Retrospective Analysis. In Plastic Surgery, The Meeting 2024, 2024 (Podium Presentation – Selected for the Top 70 Resident Abstract Session).
  5. Anees, F., L. Pollack, A. Eldoud, N. Barber, C. Montgomery, J. Hathaway, A. Khojandi. Influence of Dam Spill Flow on Downstream River Water Temperatures. In IEEE SoutheastCon 2024, pp. 655-659. IEEE, 2024
  6. Uhles, C, J. Hausladen, B. Humphrey, M. Hedrick, P.M. Johnstone, J. Allen, A. Khojandi. Insights Into Information-Seeking Behavior in Hearing-Loss Treatment. In IEEE SoutheastCon 2024, pp. 449- 453. IEEE, 2024.
  7. Patwary, A.L., A. Sharmin, B. Haynie, D. Lockett, A. Khojandi, I. Mahdinia, A.J. Khattak. Ap- plying Explainable Machine Learning for Multi-Occupant Crash Survival Time Prediction and Con- tributing Factor Analysis. In Transportation Research Board 2024 Annual Meeting (TRB 2024), 2024.
  8. Wang, Y., E. Zhang, N. Masoud, A. Khojandi. Dynamic Resource Allocation for Connected and Automated Vehicle’s Cybersecurity. In Transportation Research Board 2024 Annual Meeting (TRB 2024), 2024.
  9. Tahmin, N.†, A. Mitoubsi†, B. Bakir Batu, A. Mohammed, L. Chinthala, A. Carlisle, T. Glauser, I. Krantz, K. Mandl, R.L. Davis, A. Wu, A. Khojandi, and members of the Genomic Information Commons Consortium. Predicting Precision Inhaled Corticosteroids Response in Asthma Patients. In 75th Annual Meeting of American Society of Human Genetics (ASHG 2023), 2023.
  10. Gursel, E.†, B. Reddy, B. Smith†, S. Rezaei†, K. Daniels†, J.B. Coble, M. Madadi, V. Agarwal, R.L. Boring, V. Yadav, A. Khojandi. SPIDAR: System-Level Physics-Informed Detection of Anomalies in Reactors. In 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2023), 2023.
  11. Reddy, B., E. Gursel†, K. Daniels†, A. Khojandi, J.B. Coble, V. Agarwal, V. Yadav, R.L. Boring, M. Madadi. Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants. In 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2023), 2023.
  1. Watts, J.†, E. Allen†, A. Mitoubsi†, A. Khojandi, J. Eales, T. Papamarkou. Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), pp. 1-4, 2023.
  2. Dey, R.†, A. Khojandi, K. Perumalla. Determining the Most Significant Metadata Features to Indicate Defective Software Commits. In 21st IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA 2023), pp. 258-265, 2023.
  3. Rezaei, S.†, J. Gbadegoye, N. Masoud, A. Khojandi. A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving. In 7th International Conference on Control, Automation and Diagnosis (ICCAD’23), pp. 1-6, 2023.
  4. Huff, J.†, J. Watts†, A. Khojandi, J.M. Hathaway. Deep Temporal Neural Networks for Water Level Predictions of Watershed Systems. In 2023 Systems and Information Engineering Design Symposium (IEEE SIEDS’23), pp. 108-113, 2023.
  5. Rookard, C.†, A. Khojandi. Applying Deep Reinforcement Learning for Detection of Internet-Of- Things Cyber Attacks. In IEEE Annual Computing and Communication Workshop and Conference (CCWC), pp. 0389-0395. IEEE, 2023.
  6. Gunturkun, F., A. Khojandi, P. Ayvat, R.L. Davis, M. Baucum†, L.K. Chinthala, A. Mohammed, N.I. Shafi. Characterization and Prediction of Norepinephrine Response in Critically Ill Adults. In Critical Care Medicine, 51(1), 628, 2023.
  7. Rookard, C.†, A. Crabtree, J.D. Trujillo, A. Khojandi. Secure Analytics for Embedded Systems Through Machine Learning Applications Using TrustZones. In IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON 2022), pp. 0531-0537. IEEE, 2022.
  8. Miramontes, E.‡, J. Penney, S. St. John†, E. Rummel, A. Khojandi, W.R. Hamel, T. Schmitz, B. Jared. In Situ Monitoring of Wire Arc Additive Manufacturing and Defect Prediction Using Random Forests. In Annual International Solid Freeform Fabrication Symposium (SFF 2022), 2022.
  9. Baucum, M.†, A. Khojandi, R. Ramdhani. Learning and Predicting Levodopa Regimens from Wearable Sensors: A Novel Machine Learning Approach. In Movement Disorders, 2022.
  10. Watts, J.†, A. Khojandi, R. Ramdhani. Machine Learning and Instrumented Gait Analysis to Classify Subthalamic DBS States in Parkinson’s Disease. In Movement Disorders, 37, pp. S181-S182, 2022.
  11. Watts, J.†, E. Allen†, A. Mitoubsi†, A. Khojandi, J. Eales, F. Jalali-Najafabadi, T. Papamarkou. Adapting Random Forests to Predict Obesity-Associated Gene Expression. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), pp. 4407-4410. IEEE, 2022.
  12. Thompson, J.N., A. Skutnik, J. Coble, A. Khojandi, A. Palomino, V. Keppens, O. Kilic. Creating Pathways for Success and Engagement for Women in Engineering. In 2022 Collaborative Network for Engineering & Computing Diversity (CoNECD), 2022.
  13. Baucum, M.†, A. Khojandi, T. Papamarkou. Hidden Markov Models as Recurrent Neural Networks: An Application to Alzheimer’s Disease. In 21th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2021), pp. 1-6, 2021.
  14. Mitoubsi, A.† , Z. Liu† , D. Banks, A. Kho jandi, M. Oliver, D. Cox, R. Fernandez. Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer’s Disease. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), pp. 2382-2385. IEEE, 2021.
  15. Day, M., R. Dey†, M. Baucum†, E. Paek, P. Hyejin, A. Khojandi. Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), pp. 2299-2302. IEEE, 2021.
  1. Soni, A.†, B. Amrhein, M. Baucum†, E. Paek, A. Khojandi. Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer’s Disease. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), pp. 2282-2285. IEEE, 2021.
  2. Watts, J.†, A. Khojandi, M. Niethammer, R. Ramdhani. Predicting MDS-UPDRS Ratings for Deep Brain Stimulation Patients Using Wearable Sensor Data. In Movement Disorders, 36, pp. S552-S553, 2021.
  3. Coble, J., E. Deakins, T. Gallacher, A. Khojandi, J. Ostrowski, D. Mandell. An Exact Method for Maintenance Schedule Optimization in Nuclear Power Plants. In 12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021), 2021.
  4. Sethu, M., N.A. Titu†, D. Hu, M. Madadi, J.B. Coble, R.L. Boring, K. Blache, V. Agarwal, V. Yadav, A. Khojandi. Using Artificial Intelligence to Reduce and Mitigate Human Factor Errors: A Review. In 12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021), 2021.
  5. Titu, N.A.†, M. Baucum†, T. No, M. Trotsky, J. Karandikar, T.L. Schmitz, A. Khojandi. Estimating Johnson-Cook Material Parameters using Neural Networks. Procedia Manufacturing, Volume 53, pp. 680-689, 2021.
  6. Baucum, M.†, A. Khojandi, R. Fernandez. Generating Realistic Patient Trajectories with Tran- sitional Variational Autoencoders. In Proceedings of the 2020 Society for Medical Decision Making Conference, 2020.
  7. Wang, Y., N. Masoud, A. Khojandi. Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation. In Proceedings of the 2020 Forum on Integrated and Sustainable Transportation Systems (Forum ISTS 2020), 2020.
  8. Scarbrough, K.†, A. Khojandi, J. Hathaway. Real-Time Sensor-Based Prediction of Soil Moisture in Green Infrastructure. In Proceedings of the 2020 Industrial and Systems Engineering Conference, 2020.
  9. Watts, J.†, A. Khojandi, O. Shylo, R. Ramdhani. Sensor-Based Gait Measurements Predict Subtha- lamic Deep Brain Stimulation Frequency in Parkinson’s Disease Patients – A Proof of Concept Study. In Movement Disorders, 35, pp. S488-S489, 2020.
  10. Watts, J.†, A. Khojandi, R.K. Vasudevan, R. Ramdhani. Optimizing Individualized Treatment Plan- ning for Parkinson’s Disease Using Deep Reinforcement Learning. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), pp. 5406-5409. IEEE, 2020.
  11. Blanchette, R.†, A. Khojandi, D. Cox, M. Oliver, R. Fernandez. Predicting Alzheimer’s Disease Us- ing Driving Simulator Data. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), pp. 5432-5435. IEEE, 2020.
  12. van Wyk, F.†, A. Khojandi, N. Masoud. A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data. In: Bi Y., Bhatia R., Kapoor S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham, 2020.
  13. Liu, Z.†, X. Li, A. Khojandi, S. Lazarova-Molnar. On the Extension of Schelling’s Segregation Model. In 2019 Winter Simulation Conference (WSC), pp. 285-296. IEEE, 2019.
  14. Ramshani, M.‡, X. Li, A. Khojandi, L. Treffert†. An Optimization Via Agent-based Simulation Framework To Integrate Stochastic Programming With Human Introduced Uncertainty. In 2019 Winter Simulation Conference (WSC), pp. 809-818. IEEE, 2019.
  15. Kurt, M., A. Khojandi, M. Barah†, B. Tanriover. How Early is Too Early for a Preemptive Kid- ney Transplant? A Markov Decision Process-Based Retrospective Analysis. In American Journal of Transplantation, 17 (suppl 3), 2017.
  1. Barah, M.†, M. Kurt, A. Khojandi, B. Tanriover. Living-Donor Preemptive Kidney Transplant Timing Calculator: An Online Decision Support Tool. In American Journal of Transplantation, 17 (suppl 3), 2017.
  2. van Wyk, F.†, A. Khojandi, R. Kamaleswaran, O. Akbilgic, S. Nemati, R.L. Davis. How Much Data Should We Collect? A Case Study in Sepsis Detection Using Deep Learning. In Healthcare Innovations and Point of Care Technologies (HI-POCT), 109-112. IEEE, 2017.
  3. Tansakul, V.†, A. Khojandi, X. Li, R.S. Koszalinski. Predicting Sepsis and In-Hospital Mortality for Pneumonia Patients Using Electronic Health Record Data. In Proceedings of the 2017 Society for Medical Decision Making Conference, 2017.
  4. Li, X., M. Ramshani‡, A. Khojandi, O. Omitaomu, and J.M. Hathaway. An Agent Based Model for Joint Placement of PV Panels and Green Roofs. In 2017 Winter Simulation Conference (WSC), pp. 1133-1144. IEEE, 2017.
  5. Dorris, D.†, A. Khojandi, B. Ramshaw. Predicting Patients’ Outcomes in Abdominal Wall Re- construction Procedure. In Proceedings of the 2017 Industrial and Systems Engineering Conference, 2017.
  6. Khojandi, A., O. Shylo, B.H. Kopell, R.A. Ramdhani. Predicting the Optimal Stimulation Frequency for Deep Brain Stimulation Patients. Annals of Neurology, 80(s20):S68-S69, 2016.
  7. van Wyk, F.†, P.J. Vlok, M. Jin, A. Khojandi, N. Brunkea. Incorporating Business Risks in Physical Asset Replacement: A Case in the Mining Industry. In Proceedings of the 2016 Industrial and Systems Engineering Research Conference, 2016.*Best Track Paper, Engineering Economic Analysis, ISERC, 2016
  8. Khojandi, A., L.M. Maillart, O.A. Prokopyev, M.S. Roberts. Medical Decision Making Problems with Large Policy Spaces: Why Markov Decision Processes Trump Simulation. In Proceedings of the 2014 Society for Medical Decision Making Conference, 2014.
  9. Khojandi, A., L.M. Maillart, O.A. Prokopyev, M.S. Roberts, S. Saba. Dynamic Abandon/Extract Decisions for Failed Cardiac leads. In Proceedings of the 2013 Society for Medical Decision Making Conference, 2013.

Papers Under Review or Revision

  1. Fletcher, I.†, G. Diab, J.M. Hathaway, A. Khojandi. Accelerating Decision-Making for StormwaterManagement Through SWMM Surrogate Modeling for Reinforcement Learning (under second review).
  2. Bagheri, F.†, J. Hathaway, N. Barber, C. Montgomery, A. Khojandi. RetroSight and ForeSight Ensemble Model for Improved Time Series Prediction: A Case Study on River Temperature Prediction (under revision).
  3. Ramdhani, R., M. Klein, S. Islam, T. Fitzpatrick, A. Khojandi. Sixty Hertz STN-DBS and L-Dopa Reduces Gait Variability in Parkinson’s Disease (under review).
  4. Liu, Z.†, X. Li, A. Khojandi. A Two-Stage Optimization Framework to Enhance Interconnected Critical Infrastructure Systems Resilience Under Sequential Attacks (under review).
  5. Clegg, D., J. Watts†, V. Maroulas, S. Boukovalas, A. Khojandi. Machine Learning Identification of Patient Risk Factors in the Development of Breast Cancer Related Lymphedema (under review).
  6. Akin, A.A.‡, J.M. Hathaway, A. Khojandi, V. Rexhausen. In-Stream Impact of a Real-Time Con- trolled Dry Detention Basin: A Case Study (under revision).
  7. Shao, J., Z. Wang‡, A. Khojandi, T. Liu, B. Yao. Multi-branching TabNet for Interpretable Data- driven Prediction of Diabetic Retinopathy (under review).
  8. Dey, R.†, J. Ostrowski, Z. Cranmer, A. Khojandi. An Optimization Framework for Minimizing Energy Burden: A Case Study for Tennessee, USA (under review).
  1. Tahmin, N.†, L.K. Chinthala, F.L. Marsico, S. Buonaiuto, A. Mohammed, A. Carlisle, Y. Gautam, V. Colonna, T.B. Mersha, R.L. Davis, A. Khojandi. Stacking Machine Learning Pipelines That Incorporate Genotype and Ancestry Improves Risk Prediction: A Case Study in Severe Asthma (under review).
  2. Rookard, C.†, A. Khojandi. FLOWS: Federated Learning Optimal Weighting of Sensors for Network Intrusion Detection Systems (under review).

Book Chapters

  1. Wood-Ponce, R.†, A. Khojandi, Hathaway, J.M. Optimization of Green Infrastructure. In Encyclo-pedia of Optimization, 2023. Springer, Cham.
  2. Baucum, M.†, A. Khojandi, Markov Decision Processes: Application to Treatment Planning. In Encyclopedia of Optimization, 2023. Springer, Cham.