Faculty Profile

Mark Albert

Title
Associate Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, Cornell University, 2010.
Major: Computational Biology
Dissertation Title: Normative Visual Development: Innate learning in the early visual system
Carnegie Mellon University, 2004.
Major: Computational Neuroscience
University of Pittsburgh-Pittsburgh Campus, 2004.
Major: Computational Neuroscience
Universität Wien, 2001.
Major: AI-Related Coursework
BS, Pittsburg State University, 2000.
Major: Computer Science, Chemistry, Physics, and Mathematics

Current Scheduled Teaching*

CSCE 5934.812, Directed Study, Spring 2024
CSCE 6950.912, Doctoral Dissertation, Spring 2024
CSCE 6940.912, Individual Research, Spring 2024
CSCE 5932.712, Internship, Spring 2024
CSCE 5932.812, Internship, Spring 2024
CSCE 5950.852, Master's Thesis, Spring 2024
CSCE 5310.001, Methods in Empirical Analysis, Spring 2024
CSCE 5900.812, Special Problems, Spring 2024
CSCE 5900.813, Special Problems, Spring 2024

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

CSCE 5934.812, Directed Study, Fall 2023
CSCE 6950.812, Doctoral Dissertation, Fall 2023
CSCE 6940.812, Individual Research, Fall 2023
CSCE 5932.812, Internship, Fall 2023 SPOT
CSCE 5215.005, Machine Learning, Fall 2023 SPOT
CSCE 5900.001, Special Problems, Fall 2023
CSCE 5900.812, Special Problems, Fall 2023
CSCE 5934.812, Directed Study, Summer 10W 2023
CSCE 5932.750, Internship, Summer 10W 2023 SPOT
CSCE 5932.752, Internship, Summer 5W2 2023
CSCE 5900.829, Special Problems, Summer 5W1 2023
CSCE 5900.830, Special Problems, Summer 5W2 2023
CSCE 5934.812, Directed Study, Spring 2023
CSCE 6950.923, Doctoral Dissertation, Spring 2023
CSCE 6940.712, Individual Research, Spring 2023
CSCE 5932.712, Internship, Spring 2023 SPOT
CSCE 5932.812, Internship, Spring 8W2 2023
CSCE 5310.004, Methods in Empirical Analysis, Spring 2023 SPOT
CSCE 4999.712, Senior Thesis, Spring 2023
CSCE 5900.002, Special Problems, Spring 2023
CSCE 2900.712, Special Problems in Computer Science and Engineering, Spring 2023
CSCE 6280.001, Advanced Topics in Artificial Intelligence, Fall 2022 SPOT
BMEN 5280.001, AI for Wearables and Healthcare, Fall 2022 SPOT
CSCE 5280.001, AI for Wearables and Healthcare, Fall 2022 SPOT
CSCE 4890.712, Directed Study, Fall 2022
CSCE 6950.812, Doctoral Dissertation, Fall 2022
CSCE 6940.812, Individual Research, Fall 2022
CSCE 5932.812, Internship, Fall 2022 SPOT
CSCE 5932.813, Internship, Fall 8W2 2022
CSCE 5900.812, Special Problems, Fall 2022
CSCE 4890.712, Directed Study, Summer 10W 2022
CSCE 6950.853, Doctoral Dissertation, Summer 10W 2022
CSCE 5932.712, Internship, Summer 2022 SPOT
CSCE 5932.743, Internship, Summer 8W1 2022 SPOT
CSCE 5932.750, Internship, Summer 10W 2022 SPOT
CSCE 5900.817, Special Problems, Summer 5W1 2022
CSCE 5900.818, Special Problems, Summer 5W2 2022
CSCE 4890.712, Directed Study, Spring 2022
CSCE 5934.712, Directed Study, Spring 2022
CSCE 6950.923, Doctoral Dissertation, Spring 2022
INFO 6950.710, Doctoral Dissertation, Spring 2022
CSCE 6940.712, Individual Research, Spring 2022
CSCE 5932.712, Internship, Spring 2022 SPOT
CSCE 5932.812, Internship, Spring 8W2 2022
CSCE 5310.004, Methods in Empirical Analysis, Spring 2022 SPOT
CSCE 4999.712, Senior Thesis, Spring 2022
CSCE 5900.002, Special Problems, Spring 2022
BMEN 5280.001, AI for Wearables and Healthcare, Fall 2021 SPOT
CSCE 5280.001, AI for Wearables and Healthcare, Fall 2021 SPOT
CSCE 4890.712, Directed Study, Fall 2021
CSCE 5934.712, Directed Study, Fall 2021
CSCE 5934.712, Directed Study, Fall 8W2 2021
CSCE 6950.712, Doctoral Dissertation, Fall 2021
INFO 6950.709, Doctoral Dissertation, Fall 2021
CSCE 6940.712, Individual Research, Fall 2021
CSCE 5932.750, Internship, Fall 2021 SPOT
CSCE 5932.812, Internship, Fall 8W2 2021
CSCE 5900.712, Special Problems, Fall 2021
CSCE 2996.712, Honors College Mentored Research Experience, Summer 10W 2021 Syllabus SPOT
CSCE 5900.712, Special Problems, Summer 5W1 2021
CSCE 5934.712, Directed Study, Spring 2021
CSCE 6950.712, Doctoral Dissertation, Spring 2021
INFO 6950.701, Doctoral Dissertation, Spring 2021
CSCE 6940.712, Individual Research, Spring 2021
INFO 6900.707, Special Problems, Spring 2021
BMEN 5900.809, Special Problems in Biomedical Engineering, Spring 3W1 2021
BMEN 5280.001, AI for Wearables and Healthcare, Fall 2020 SPOT
CSCE 5280.001, AI for Wearables and Healthcare, Fall 2020 SPOT
INFO 6950.709, Doctoral Dissertation, Fall 2020
CSCE 6940.712, Individual Research, Fall 2020
CSCE 5950.712, Master's Thesis, Fall 2020
CSCE 5214.001, Software Development for Artificial Intelligence, Fall 2020 SPOT
CSCE 5214.004, Software Development for Artificial Intelligence, Fall 2020 SPOT
CSCE 5214.008, Software Development for Artificial Intelligence, Fall 2020
CSCE 2900.712, Special Problems in Computer Science and Engineering, Fall 2020
CSCE 2999Z.712, CSCE Research, Summer 10W 2020
CSCE 5934.712, Directed Study, Spring 2020
CSCE 6940.712, Individual Research, Spring 2020
INFO 6660.012, Readings in Information Science, Spring 2020
CSCE 4930.712, Topics in Computer Science and Engineering, Spring 2020 Syllabus
CSCE 5933.712, Topics in Computer Science and Engineering, Spring 2020 Syllabus
CSCE 4890.712, Directed Study, Fall 2019
CSCE 5934.712, Directed Study, Fall 2019
CSCE 3996.002, Honors College Mentored Research Experience, Fall 2019
CSCE 6940.712, Individual Research, Fall 8W2 2019
CSCE 6940.712, Individual Research, Fall 2019
CSCE 4205.001, Introduction to Machine Learning, Fall 2019 Syllabus SPOT
CSCE 5215.001, Machine Learning, Fall 2019 SPOT
CSCE 5215.600, Machine Learning, Fall 2019 SPOT

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Book
Albert, M., Lin, L., Spector, J. M., Dunn, L. S. Bridging Human Intelligence and Artificial Intelligence. New York, NY: Springer - AECT.
Book Chapter
Albert, M. (2022). Moye R, Liang C, Albert MV (2022) Early visual processing: a computational approach to understanding primary visual cortex. In Bridging Human Intelligence and Artificial Intelligence editors Albert MV, Lin L, Spector JM, Dunn L. Springer Publishing..
Albert, M. (2022). Rafiq RB, Albert MV (accepted) Transfer learning: leveraging trained models on novel tasks. In Bridging Human Intelligence and Artificial Intelligence, editors Albert MV, Lin L, Spector JM, Dunn L. Springer Publishing..
Xiao, T., Albert, M. V. (2021). Xiao T, Albert MV (2021) “Big Data in Medical AI: how larger datasets lead to robust, automated learning for healthcare” in Artificial Intelligence in Brain and Mental Health. Editors: Marcello Ienca, Mingyu Liang, Fabrice Jotterand. Springer.
Albert, M. V. (2017). Albert MV, Shparii I, Zhao X (2017) “The applicability of inertial sensors for locomotion and posture” in Locomotion and Posture in Older Adults: The Role of Aging and Movement Disorders. Editors: Fabio Augusto Barbieri and Rodrigo Vitório. Springer.
Albert, M. V. (2009). Albert MV, Field DJ (2009) Neural Representation and Coding. Encyclopedia of Perception, Ed. E.B. Goldstein et al., SAGE Press.. SAGE Press.
Conference Proceeding
Albert, M. V. (2023). Rafiq RB, Karim SA, Albert MV (2023) An LSTM-based Gesture-to-Speech Recognition System. IEEE International Conference on Healthcare Informatics (ICHI 2023).
Caldwell, J., Feng, W., Byun, M., Albert, M. V., Shu, T., Ji, Y. (2023). Exploring Power and Thermal Dynamics in the Summit Supercomputer: A Data Visualization Study. 7th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC).
Yi, Z., Blanco, E., Fan, H., Albert, M. (2022). BAPO: A Large-Scale Multimodal Corpus for Ball Possession Prediction in American Football Games. IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Albert, M. V. (2022). Liu Z, Exley T, Meek A, Yang R, Zhao H, Albert MV “Predicting GPU Performance and System Parameter Configuration Using Machine Learning” ISVLSI-2022 (IEEE Computer Society Annual Symposium on VLSI).
Ranasinghe,, I., Dantu, R., Yuan, C., Albert, M. V. (2021). A Collaborative and Adaptive Feedback System for Physical Exercises. New York: The 7th IEEE International Conference on Collaboration and Internet Computing (CIC).
Xiao, T., Greenberg, R., Albert, M. V. (2021). Design and assessment of a task-driven introductory data science course taught concurrently in multiple language: Python, R, and MATLAB. 26th ACM INNOvation and Technology in Computer Science Education (ITiCSE 2021).
Albert, M. V. (2021). Ranasinghe I, Dantu D, Albert MV, Watts S (2021) Cyber-Physiotherapy: Rehabilitation to training. 2021 IFIP / IEEE International Symposium on Integrated Network Management, pg 1054-1057.
Albert, M. (2021). Ranasinghe I, Dantu D, Albert MV, Watts S (2021) Cyber-Physiotherapy: Rehabilitation to training. 2021 IFIP / IEEE International Symposium on Integrated Network Management, pg 1054-1057.
Ranasinghe, I., Dantu, P., Dantu, P. V., Watts, S., Ocana, R. (2021). Cyber-Physiotherapy: Rehabilitation to Training. 1054-1057. New York: 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM),.
Xiao, T., Tabashum, T., Olness, G. S., Mahbub, I., Berman, D., Tasneem, N., Albert, M. V. (2020). Mobile Diarization Dashboard Application and Remote Vocalization Sensor Prototype for Evaluating Communication Rehabilitation Effectiveness. 2020 American Congress of Rehabilitation Medicine Conference.
Meyarian, A., Namdari, H., Yuan, X., Albert, M. V., Roeske, J. C. (2020). Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023--2026.
Mayarian, A., Namdari, H., Yuan, X., Roeske, J., Albert, M. V. (2020). Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea, 2020, pp. 2023-2026, doi: 10.1109/BIBM49941.2020.9313322..
Nacar, E., Nanda, D., Albert, B., Panici, C., Albert, M. V. (2020). Temporal Distance Map: A warped isochrone map depicting accurate travel times. GEOProcessing 2020 - The Twelfth International Conference on Advanced Geographic Information Systems, Applications, and Services..
Rafiq, R., Modave, F., Guha, S., Albert, M. V. (2020). Validation methods to promote real-world applicability of machine learning in medicine. The 3rd International Conference on Digital Medicine and Image Processing (DMIP 2020). November 6-9, 2020..
Wang, S., Park, J., Park, H., Nanda, D., Albert, M. V. (2020). Wearable spasticity estimation and validation using machine learning. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Seoul, Korea, 2020, pp. 2109-2112, doi: 10.1109/BIBM49941.2020.9313130..
Xiao, T., Tabashum, T., Jebamalaidass, R., Du, A., Leal, M., Oliviera, E., Metwally, B., Albert, M. V. (2020). “Conversation Moderator: A mobile app for tracking individual speaking in group conversations”, 14th IEEE International Conference on Semantic Computing (ICSC 2020), San Diego, Feb 3-5, 2020..
Ranasinghe, I., Jayaraman, A., Xiao, T., Dantu, R., Thompson, M. A., Albert, M. (2020). Home Care Robotic Assistant Prototype for Remote Human Supervision: Development and Pilot Analysis of Exercise Repetition Counting over Multiple Viewing Angles. 1. ARCM: Archives of Physical Medicine and Rehabilitation.
Kwon, S., Sindu, P., Nickele, K., Zavos, P., Sugianto, A., Albert, M. V. (2019). Accelerometer-Based Activity Classification Algorithm for Toddlers: Machine Learning Approach: 1364: Board\# 126 May 30 9: 30 AM-11: 00 AM. Other. 51(6), 363--364. LWW.
Georgaras, A., Urs, N., Nolan, P., Singh, H., Albert, M. (2019). Efficient visual neural coding tutorial for grayscale, color, binocular, and video to produce primary visual cortex neural receptive fields. Society for Neuroscience conference (SfN 2019) Oct 19, 2019..
Albert, M., Mummidisetty, C., Tabashum, T., Jayaraman, A. (2019). PCA Composite Evaluation of Outcomes for Microprocessor Knee versus Mechanical Knee in Individuals with Dysvascular Transfemoral Amputations. Biomedical Engineering Society conference (BMES 2019).
Saffo, D., Kilmarx, J., Borhani, S., Abiri, R., Zhao, X., Albert, M. V. (2018). Convolutional Neural Networks for a Cursor Control Brain Computer Interface. Biomedical Engineering Society conference (BMES 2018).
Journal Article
Albert, M. V. (2023). Kota VD, Sharma H, Albert MV, Mahbub I, Mehta G, Namuduri K. (2023) A low-power wireless system for predicting early signs of sudden cardiac arrest incorporating an optimized CNN model implemented on NVIDIA Jetson. Sensors, 23(4), 2270; https://doi.org/10.3390/s23042270 (Special Issue Wearable Sensors for Physical Activity and Healthcare Monitoring).
Albert, M. V. (2023). Rafiq RB, Yount S, Jerousek S, Roth EJ, Cella D, Albert MV, Heinemann AW (2023) Feasibility of PROMIS using Computerized Adaptive Testing during Inpatient Rehabilitation. Journal of Patient-Reported Outcomes, May 10;7(1):44. doi: 10.1186/s41687-023-00567-x.
Albert, M. V. Botonis OK, Harari Y, Embry KR, Mummidisetty CK, Riopelle D, Giffhorn M, Albert MV, Heike V, Jayaraman A (2022) Wearable airbag technology and machine learned models to mitigate falls after stroke. Journal of NeuroEngineering and Rehabilitation, 19:60..
Albert, M. V. (2022). Exley T, Moudy S, Patterson R, Kim J, Albert MV. (2022) Predicting UPDRS Motor Symptoms in Individuals with Parkinson’s Disease from Force Plates Using Machine Learning. IEEE Journal of Biomedical and Health Informatics, 26 (7), pg 3486-3494. doi: 10.1109/JBHI.2022.3157518.
Albert, M. V. Tabashum T, Xiao T, Jayaraman C, Mummidisetty CK, Jayaraman A, Albert MV (2022) Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation. Bioengineering, 9(10), 572. https://doi.org/10.3390/bioengineering9100572.
Tabashum, T., Zaffer, A., Yousefzai, R., Colletta, K., Jost, M., Park,, Chawla, J., Albert, M. V., Gaynes, B., Xiao, T. (2021). (2021) Detection of Parkinson’s Disease through Automated Pupil Tracking of the Post-illumination Pupillary Response. Frontiers in Medicine. 8:645293. doi: 10.3389/fmed.2021.645293 (IF 5.1, 9 pages).
Gaynes,, Zaffer,, Yousefzai, R., Chazaro-Cortes, M., Colette, K., Kletzel, S., Jost, M., Park, Y., Chawla, J., Albert, M. V., Xiao, T. (2021). (2021) Variable abnormality of the melanopsin-derived portion of the pupillary light reflex in patients with Parkinson’s disease and parkinsonism features. Neurological Sciences, 1-8. DOI: 10.1007/s10072-021-05245-8 (8 pages).
Behpour, S., Mohammadi, M., Albert, M. V., Alam, Z., Wang, L., Xiao, T. (2021). Behpour S, Mohammadi M, Albert MV, Alam Z, Wang L, Xiao T (2021) Automatic Trend Detection: Time-Biased Document Clustering. Knowledge-based Systems, vol 220, 106907. doi:10.1016/j.knosys.2021.106907 (IF 8.0, 13 pages).
Albert, M. (2021). Harari Y, Shawen N, Mummidisetty CK, Albert MV, Kording KP, Jayaraman A (2021) A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls. Journal of NeuroEngineering and Rehabilitation, 18 (1) 1-13. (IF 3.5, 13 pages).
Albert, M. (2021). Urs N, Behpour S, Georgaras A, Albert MV (2021) Unsupervised learning in images and audio to produce neural receptive fields: a survey and accessible notebook. Artificial Intelligence Review. https://doi.org/10.1007/s10462-021-10047-7.
Jayaraman, C., Mummidisetty, C., Albert, M. V., Lipschutz, R., Hoppe-Ludwig, S., Mathur, G., Jayaraman, A. (2021). Using a microprocessor knee (C-Leg) transitioned individuals with dysvascular transfemoral amputations to higher MFCL functional levels: A longitudinal randomized clinical trial. Journal of NeuroEngineering and Rehabilitation, 18, 88. https://doi.org/10.1186/s12984-021-00879-3 (IF 3.5, 13 pages).
Zelman, S., Dow, M., Tabashum, T., Xiao, T., Albert, M. V. (2020). Accelerometer-based automated counting of ten exercises without exercise-specific training or tuning. Journal of Healthcare Engineering, vol. 2020, Article ID 8869134, 6 pages, 2020. https://doi.org/10.1155/2020/8869134.
Albert, M., Sugianto, A., Nickele, K., Zavos, P., Sindu, P., Ali, M., Kwon, S. (2020). Albert MV, Sugiano A, Nickele K, Zavos P, Sindu P, Ali M, Kwon S (2020) Hidden Markov Model-based Activity Recognition for Toddlers. Physiological Measurement 41 (2) 25003.. Other.
Kwon, S., Zavos, P., Nickele, K., Sugianto, A., Albert, M. V. (2019). Kwon S, Zavos P, Nickele K, Sugianto A, Albert MV (2019) Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities. International Journal of Environmental Research and Public Health 16(14), 2598.. International Journal of Environmental Research and Public Health. 16(14), 2598. Multidisciplinary Digital Publishing Institute.
Sok, P., Xiao, T., Azeze, Y., Jayaraman, A., Albert, M. V. (2018). Activity Recognition for Incomplete Spinal Cord Injury Subjects using Hidden Markov Models. IEEE Sensors 18(15), 6369-6374..
Albert, M. V., Courtois, M. (2017). Albert MV, Azeze Y, Courtois M, Jayaraman A. (2017) In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury. Journal of NeuroEngineering and Rehabilitation 14:10. doi: 10.1186/s12984-017-0222-5.
Albert, M. V. (2016). Deems-Dluhy SL, Jayaraman C, Green S, Albert MV, Jayaraman A (2016) Evaluating the functionality and usability of two novel wheelchair anti-rollback devices for ramp ascent in manual wheelchair users with spinal cord injury, PM&R, doi: 10.1016/j.pmrj.
Albert, M. V. (2016). Orendorff EE, Kalesinskas L, Palumbo RT and Albert MV (2016) Bayesian Analysis of Perceived Eye Level. Front. Comput. Neurosci. 10:135. doi:10.3389/fncom.2016.00135.
Albert, M. V. (2014). Albert MV, Deeny S, McCarthy C, Valentin J, Herrmann M, Jayaraman A. Monitoring Daily Function in Individuals with Transfemoral Amputations using a Commercial Activity Monitor. Physical Medicine and Rehabilitation (in press). Other. http://www.pmrjournal.org/article/S1934-1482(14)00279-2/abstract
Albert, M. V. (2014). Antos S, Albert MV, Kording K (2014) Hand, belt, pocket, or bag: practical activity tracking with mobile phones. Journal of Neuroscience Methods - Special issue on motion capture techniques in animal models and humans (231) 22-30. Other.
Albert, M. V., Deeny, S., McCarthy, C., Valentin, J., Jayaraman, A. (2014). Monitoring daily function in persons with transfemoral amputations using a commercial activity monitor: a feasibility study. Other. 6(12), 1120--1127.
Albert, M. V. (2013). Albert MV, McCarthy C, Valentin J, Herrmann M, Kording K, Jayaraman A (2013) Monitoring functional capability of individuals with lower limb amputations using mobile phones. PLoS ONE 8(6): e65340.. PLOS One.
Albert, M. V. (2013). Mhatra PV, Vilares I, Stibb SM, Albert MV, Pickering L, Marciniak C, Kording K, Toledo S (2013) Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease. Physical Medicine and Rehabilitation 3 (10) S264. Other.
Albert, M. V. (2012). Albert MV, Catz N, Their P, Kording KP (2012) Saccadic gain adaptation is predicted by the statistics of natural fluctuation in oculomotor function. Frontiers in Computational Neuroscience 6:96. Other.
Albert, M. V. (2012). Albert MV, Kording KP, Herrmann M, Jayaraman A (2012) Fall classification by machine learning using mobile phones. PLoS ONE 7(5): e36556. PLOS One.
Albert, M. V. (2012). Albert MV, Toledo S, Shapiro M, Kording KP (2012) Using mobile phones for activity recognition in Parkinson’s patients. Frontiers in Neurology 3:158. Other.
Murtaugh, B., Albert, M. V., Karvelas, K., Marciniak, C. M., Toledo, S. D. (2012). Poster 365 Does a Supervised Program in Physical Therapy and/or Occupational Therapy Improve Pain Scores in Patients with Parkinson Disease?. Other. 4, S314--S315.
Albert, M. V. (2011). Albert MV, Kording KP (2011) Determining posture from physiological tremor. Experimental Brain Research. 215 (3), 247-255. Experimental Brain Research.
Albert, M. V. (2011). Fernandes HL*, Albert MV*, Kording KP (2011) (* contrib equally) Measuring generalization of visuomotor perturbations in wrist movements using mobile phones. PLoS ONE 6(5): e20290.. PLOS One.
Fernandes, H. L., Albert, M. V., Kording, K. P. (2011). Measuring generalization of visuomotor perturbations in wrist movements using mobile phones. PLOS One. 6(5), . Public Library of Science.
Toledo, S. D., Albert, M. V., Kording, K., Marciniak, C. M., Mhatre, P. V., Pickering, L., Stibb, S. M., Vilares, I. (2011). Poster 268 Wii Video Game Balance-board Training: Does It Improve Balance and Gait in Adults With Parkinson Disease?. Other. 3, S264--S264.
Albert, M. V. (2008). Albert MV, Schnabel A, Field DJ (2008) Innate Visual Learning through Spontaneous Activity Patterns. PLoS Computational Biology 4(8). PLOS Computational Biology.
Albert, M. V. (2007). Sohn, M-H, Albert MV, Stenger VA, Jung K-J, Carter CS, & Anderson JR (2007) Anticipation of conflict monitoring in the anterior cingulate cortex and the prefrontal cortex. Proceedings of National Academy of Science, 104(25): 10330.. Proceedings of the National Academy of Sciences of the United States of America.
Albert, M. V. (2005). Anderson, JR, Albert MV, & Fincham JM (2005) Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-Paced Tower of Hanoi. Journal of Cognitive Neuroscience, 17 1261-1274.. Other.
Anderson, J. R., Albert, M. V., Fincham, J. M. (2005). Tracing problem solving in real time: fMRI analysis of the subject-paced Tower of Hanoi. Other. 17(8), 1261--1274. MIT Press 238 Main St., Suite 500, Cambridge, MA 02142-1046 USA journals~….
Albert, M. V. (2003). Faeder J, Albert MV, and Ladanyi BM (2003) Molecular dynamics simulations of the interior of aqueous reverse micelles. A comparison between sodium and potassium counterions. Langmuir, 19, 2514-2520.. Langmuir.
Faeder, J., Albert, M. V., Ladanyi, B. M. (2003). Molecular dynamics simulations of the interior of aqueous reverse micelles: A comparison between sodium and potassium counterions. Langmuir. 19(6), 2514--2520. ACS Publications.
Magazine/Trade Publication
Albert, M. V. (2014). Use of Fitbit Activity Monitor Successfully Assessed Transfemoral Amputee Activity Levels. http://www.healio.com/orthotics-prosthetics/prosthetics/news/print/o-and-p-news/%7Ba0779160-8284-4839-9b36-7d3ebd65ab32%7D/use-of-fitbit-activity-monitor-successfully-assessed-transfemoral-amputee-activity-levels
Other
Kording, K., Albert, M. V., Levien, A. (2018). Medical evaluation system and method using sensors in mobile devices.
Heinemann, A. W., Jerousek, S., Sliwa, J., French, E., Garcia, E., Thomas, M., McKula, T., Snyder, T., Henry, M., Kording, K., others, (2015). Systems and methods for a rehabilitation dashboard.
PhD Thesis
Albert, M. V. (2010). Albert MV (2010) Normative Visual Development: innate learning in the early visual system, Ph.D. Thesis, Field of Computational Biology, Cornell University..
Review of Published Work
Albert, M. V. (2015). Electronic Activity Monitors Could be Helpful in Clinical, Public Health, Rehabilitation Settings. Orthotics / Prosthetics News. http://www.healio.com/orthotics-prosthetics/prosthetics/news/print/o-and-p-news/%7Ba0779160-8284-4839-9b36-7d3ebd65ab32%7D/use-of-fitbit-activity-monitor-successfully-assessed-transfemoral-amputee-activity-levels
Technical Report
Albert, M. V. (2015). Albert MV (2015) The Brain Geography Mini-Course: a neuroscience outreach effort. Loyola University e-commons report..

Awarded Grants

Contracts, Grants and Sponsored Research

Contract
Albert, M. V., "Machine Learning to Human Learning: leveraging applied computational strategies to understand human cognition," Sponsored by Sapienza University of Rome, $4000 Funded. (May 2015).
Fellowship
Yanar, J. (Principal), Morrison, R. (Supporting), Albert, M. V. (Supporting), Martsberger, C. (Supporting), "Development of a neural connectivity toolbox for human scalp electroencephalography recordings and its application to the study of cognitive aging," Sponsored by LUROP: Carbon Scholars Program, Other, $15000 Funded. (August 2015May 2017).
Albert, M. V., "Rehabilitation Institute of Chicago Student Fellowship," Sponsored by Rehabilitation Institute of Chicago, $24000 Funded. (June 2016December 2016).
Albert, M. V., "Impact of retrotransposons on plant evolution," $15000 Funded. (August 2014July 2016).
Albert, M. V., "Provost Fellowship for Gordon Kratz's project: Automated depth perception as a behaviorally-relevant metric for the innate learning paradigm," Other, $1000 Funded. (20142014).
Albert, M. V., "NSF Graduate Research Fellowship," $90000 Funded. (20052008).
Albert, M. V., "NSF Nonlinear Systems IGERT Fellowship," $30000 Funded. (20042005).
Albert, M. V., "Fulbright Fellowship," $20000 Funded. (20002001).
Albert, M. V., "Goldwater Scholarship," $20000 Funded. (19992000).
Albert, M. V., "Pittsburg State Presidential Scholarship," Sponsored by Pittsburg State University, Local, $100000 Funded. (19961999).
Grant - Research
Albert, M. V., "Hierarchically Structured Materials Systems for Enhanced Dynamic Performance," Sponsored by Army Research Lab, Federal, $200000 Funded. (December 1, 2023 – Present).
Albert, M. V. (Supporting), "Using the Fitbit for early detection of Infection and reduction of healthcare utilization after Discharge in Pediatric Surgical Patients," Sponsored by NIH through subaward from Lurie Children's Hospital, Federal, $72292 Funded. (September 22, 2023June 30, 2027).
Albert, M., "Physical Activity Measurement in Toddlers," Sponsored by Lurie Children's Hospital - Chicago, Federal, $70808 Funded. (20212026).
Xiao, T. (Principal), Ding, J. (Co-Principal), Albert, M. V. (Supporting), Alam, Z. S. (Supporting), Hartmann, F. (Supporting), Wang, Y. (Supporting), Liang, L. (Supporting), Chen, H. (Supporting), Du, J. (Supporting), Azad, R. K. (Supporting), "NSF REU site: Beyond Language: Training to Create and Share Vector Embeddings across Application," Sponsored by NSF, Federal, $403547 Funded. (20232025).
Albert, M. V. (Co-Principal), "Improving Orthopaedic Outcomes through Machine Learning," Sponsored by Shriners Hospitals for Children, National, $289770 Funded. (20222025).
Zhao, H., Albert, M., "REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach," Sponsored by NSF, Federal, $398684 Funded. (20212024).
Albert, M. V. (Supporting), "Predicting Fall Risk in Older Adults Using Machine Learning," Sponsored by Subaward through UNT HSC with the Johns Hopkins Artificial Intelligence and Technology Collaboratory (AITC) for Aging Research, Federal, $56157 Funded. (October 1, 2023September 30, 2024).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $3517.5 Funded. (July 1, 2023May 30, 2024).
Albert, M. V. (Principal), "Center for Smart Use of Technologies to Assess Real-world Outcomes (C-STAR) award for “Pilot development and assessment of a precision gesture-to-speech system for speech-impaired individuals with limited mobility”," Sponsored by Shirley Ryan AbilityLab, Federal, $37125 Funded. (20222023).
Albert, M. (Principal), "Fall Catcher: Wearable Airbag Technology to Mitigate Falls in Individuals with Stroke (RERC subcontract through Shirley Ryan AbilityLab)," Sponsored by U.S. Department of Health and Human Services, Federal, $97000 Funded. (20202023).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $7035 Funded. (August 22, 2022June 30, 2023).
Yang, H., Tune, J., Albert, M., "Clinical trial in a dish for studying antihypertensive drug induced cardiovascular malformation and dysfunction in gestational hypertension," Sponsored by University of North Texas, University of North Texas, $7800 Funded. (20212022).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $9503 Funded. (June 1, 2021April 30, 2022).
Li, Y. (Co-Principal), Albert, M. V. (Co-Principal), "Characterising the Warm Envelop Surrounding the Milky Way Disk With Machine Learning," Sponsored by COS-CENG, University of North Texas, $10000 Funded. (August 2021December 2021).
Albert, M. (Principal), "Machine learning prediction using quantitative gait analysis data to suggest and support interventions for pediatric patients with movement disorders," Sponsored by Shriners Children's Hospitals (system-wide), Private, $111218 Funded. (20202021).
Xiao, T. (Principal), Albert, M. V. (Co-Principal), "AI4ALL College Pathways Program," Sponsored by AI4ALL, National, $2468 Funded. (November 16, 2020May 5, 2021).
Albert, M. V., "Google Compute Platform $5000 Research Credit "Modeling aspects of early binocular visual development by optimizing depth perception"," $5000 Funded. (20182019).
Albert, M. V., "NIH R01 subcontract of "Understanding Real-Life Falls in Amputees using Mobile Phone Technology"," Sponsored by Shirley Ryan AbilityLab (formerly the Rehabilitation Institute of Chicago), $4000 Funded. (2017).
Albert, M. V., "Summer research stipend for "Behaviorally-relevant scoring of binocular visual development models by depth perception"," Sponsored by Loyola, $7000 Funded. (June 2017August 2017).
Albert, M. V., "Computer Science Summer Research Program - IIE funding," Sponsored by Institute for International Education, $65000 Funded. (May 2016July 2016).
Albert, M. V., Greenberg, R. I., Harrington, A. N., "CS Seminar special funding project," Sponsored by CAS, Other, $2000 Funded. (20142015).
Tingley, P., Albert, M. V., Lauve, A., "Summer "SAGE days" Workshop," Other, $2000 Funded. (June 2014July 2014).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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