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Laboratory for Healthcare Engineering

http://www.cs.umbc.edu/~maliyou1/

Website maintained by Muhammad Ali Yousuf

Page last updated on: 04/03/2024

Click on the buttons above to search for specific information:

Introduction 

Artificial intelligence (AI) is rapidly transforming the healthcare landscape. From the development of new drugs and treatments to the delivery of care, AI has the potential to improve the lives of patients and providers alike. However, with this transformation comes a new set of ethical challenges. The Healthcare Engineering Lab is an informal gathering of like-minded faculty and students. Our areas of interest include:

We believe that our R&D work will help to ensure that AI is used to improve the lives of patients and providers, while also protecting the rights and interests of individuals. We invite you to join us in this important work. 

MPS in Data Science 

Currently the University of Maryland, Baltimore County's Department of Computer Science and Electrical Engineering offers a PBS (Post-Baclaureate Certificate) and an MPS (Master of Professional Studies) in Data Science. The admissions requirements can be found on the Registrar's website. 

PBC students need 4 courses whereas MPS students need 10 courses in total. After finishing the first 7 required courses, MPS students can choose various pathways in their MPS program to take 3 more courses. 

More information about the University of Maryland, Baltimore County's MPS in Data Science admission requirements can be found on the Registrar's website. 

For more information about various pathways available to students, check https://professionalprograms.umbc.edu/data-science/masters-of-professional-studies-data-science/. 

Pathways in Data Science 

The two most relevant pathways to the lab are listed below (the third one is in the making):

  1. Healthcare Analytics Pathway (via MPS in Health IT courses at UMBC*)

  2. Bioinformatics Pathway (via UMBC* - NIH** - CARD***  - FAES**** Collaboration)

  3. Clinical Informatics (via UMBC* - UMB***** Collaboration)

For more information about various other pathways available to the students, check https://professionalprograms.umbc.edu/data-science/masters-of-professional-studies-data-science/. 

Healthcare Analytics Pathway (via MPS in Health IT courses at UMBC*)

Students can take many courses in this track, including

HIT 658: Health Informatics I

HIT 664: Health IT Law and Ethics

HIT 674: Process and Quality Improvement within Health IT

HIT 723: Public Health Informatics

HIT 750: Data Analytics

HIT 751: Introduction to Healthcare Databases

HIT 759: Health Informatics II

For more information, see https://professionalprograms.umbc.edu/health-information-technology/masters-of-professional-studies-health-it/

Bioinformatics Pathway (via UMBC* - NIH** - CARD***  - FAES**** Collaboration)

Students can take many courses in this track, including 

BIOF 450: Bioinformatics, Evolutionary Genomics, and Computational  Biology

BIOF 518: Theoretical and Applied Bioinformatics

BIOF 521: Bioinformatics for Analysis of Next Generation Sequencing, 

BIOF 556: Advanced Topics in Single Cell Analyses, etc. 

For more information, see https://dil.umbc.edu/pathways-and-certificates/bioinformatics-pathway/ 

Clinical Informatics (via UMBC* - UMB***** Collaboration)

We have another collaboration in the making that will expand the course offerings and research opportunities for students at both institutions. Students can take many coures in this track, including

INFO 601: Foundations in Clinical and Health Informatics (3 Credits)  [Offered: 1st 8-week session Fall Semester (Fall A)]

INFO 602: Clinical Information Systems (3 Credits) [Offered: 2nd 8-week session Fall Semester (Fall B)]

INFO 603: Computer Literacy and Programming for Healthcare Professionals (3 Credits) [Offered: 1st 8-week session Spring Semester (Spring A)]

INFO 604: Decision Support Systems in Healthcare (3 credits) [Offered: 2nd 8-week session Spring Semester (Spring B)]

For more details, see 

University of Maryland Clinical Informatics Group, Department of Emergency Medicine, http://www.umcig.com/  

Clinical and Translational Research Informatics Center (CTRIC), https://www.medschool.umaryland.edu/ctric/  

Certificate Program, https://graduate.umaryland.edu/ClinicalInformaticsCert/?fbclid=IwAR16nY6pPlxu7ths7xNiL-C_RzC47L49gvMMAUtImWs9AIHRCjHjLmp5PXA 

MS Program, https://graduate.umaryland.edu/clinicalinformatics/?fbclid=IwAR2d0o2bz5IibXAKGmifjvc5911TA8Od-jYK3H652MTLk3PjQY-rBWVIpco  

A more detailed list of courses can be found at: https://graduate.umaryland.edu/ClinicalInformatics/Academics/Courses/   

 

* UMBC = University of Maryland, Baltimore County, https://umbc.edu/ 

** NIH = National Institute of Health, https://www.nih.gov/ 

*** CARD = Center for Alzheimer's and Related Dementias, https://card.nih.gov/ 

**** FAES = The Foundation for Advanced Education in the Sciences, https://faes.org/ 

***** UMB = University of Maryland, Baltimore, https://www.umaryland.edu/

Areas of Interest

The primary areas of interest for the group revolve around healthcare. This includes: Medical Image Processing, Cancer detection and cure (radiotherapy), and the most recent one is Alzheimer's Disease (AD). 

However, affiliated students have worked in many other areas including Retail markets, Stocks, Geophysics, Crime prediction, etc. 

The group is also interested in Engineering Education, including AI in Education. For papers/presentations on Education, see the tab "Educational Research" above. 

Here is a short note on How to Start a Research Project. 

If you are a student and need help with your research, check https://shadygrove.umd.edu/library/researchhelp 

If you are interested in artificial intelligence, check out https://ai.umbc.edu/, a new website by UMBC (not me). It covers AI news, events, resources, and opportunities at UMBC.

Publications

Journal Articles

  1. M A Yousuf and B A Asiyanbola, “Tactile Sensors in the Study of Tissue Properties,” Journal of Engineering in Medicine, Part H of the Proceedings of the Institution of Mechanical Engineers, October 2013.
  2. M A Yousuf, K T Malinowski, S A Naqvi, W D D’Souza, “Guiding the selection of the patient-specific optimal gating duty cycle by predicting the impact of the tumor displacement distribution on the target dose,” Physics in Biology and Medicine, October 2011.
  3. M A Yousuf, P C Rivera, M P Diaz and R M Chaveznava, “Lung Tumor Tracking and Couch Control - A Feasibility Study,” IAENG International Journal of Applied Mathematics, 38:4, IJAM 38 4 11, November 20, 2008.
  4. R M Chaveznava, V C Hernandez and M A Yousuf, “Learning Control Architectures by Robotics Application,” WSEAS Transaction on Advances in Engineering Education, Issue 11, Volume 3, November 2006.
  5. A Bashir and M A Yousuf, “Relativistic and Binding Energy Corrections to Heavy Quark Fragmentation to Polarized Quarkonium,” Phys. Lett. B424:375-380, 1998.
  6. M A Yousuf and A Bashir, “Relativistic and Binding Energy Corrections to Heavy Quark Fragmentation Functions,” Phys. Rev. D56, 9:6014-6017, 1997.
  7. M A Yousuf and P Hoodbhoy, “Relativistic and Binding Energy Corrections to Direct Photon Production in Upsilon Decay,” Phys. Rev. D54, 1:3345-3349, 1996.
  8. M A Yousuf, P Hoodbhoy, “On the Possible Measurement of Gluon Asymmetry in a Spinning Nucleus,” J.Phys.G17:1637-1642, Nov. 1991.

Conference Papers and Extended Abstracts

  1. P Robilotto and M A Yousuf, Development of a Machine Learning Model to Predict the Risk of Death within 60 Days of Discharge from Hospital or ED Setting in a Minority Patient Population, Conference on Health IT and Analytics (CHITA 24) at JHU May 3-4, 2024, https://carey.jhu.edu/chita2024
  2. B Bashir and MA Yousuf, Understanding Alzheimer's disease with medical image processing, Poster presentation at the HUGS Conference at Jefferson Lab, June 2023, https://indico.jlab.org/event/717/sessions/2593/#20230614
  3. M A Yousuf and B Asiyanbola, “Can Postoperative geometric changes help to explain pancreatic leaks in pancreaticoduodenectomy?” Presented at the 15th International Hepato-Pancreato Biliary Association’s (IHPBA) World Congress, New York, March 30-April 2, 2022. https://www.hpbonline.org/article/S1365-182X(22)01065-6/fulltext
  4. A Ali, J Suon and M A Yousuf, “A Study of Localization Methods to Help Elderly Patients in their Home Environments,” presented at the 2020 IEEE Integrated STEM Education Conference (ISEC), Princeton, NJ.
  5. M A Yousuf, B Asiyanbola, Short Term Physiological Effects of a Hepatopancreaticobiliary Reservoir, the Americas Hepato-Pancreato-Biliary Association (AHPBA) Conference, Miami Beach, Eden Roc, February 2014.
  6. M A Yousuf, R Dumm, Y Kim and B A Asiyanbola, “A Model to Study the Effect on Gallbladder Stress Due to Contraction and Gallstones,” presented at the 34th Annual International Conference of the Engineering in Medicine and Biology Society, Session on Bioinformatics and Computational Biology, Systems Biology, Modeling Methodologies, Hilton Bayfront Hotel in San Diego, California, USA. Aug 28 – Sept 1, 2012. 
  7. M A Yousuf, K T Malinowski, T J McAvoy, H H Zhang, S A Naqvi, W D D’Souza, “Dosimetric Improvement via Real-Time Dynamic Couch-Based Intra-Fraction Motion Tracking For 3D Conformal and IMRT Plans,” International Journal of Radiation Oncology* Biology* Physics, Volume 78, Issue 3, Supplement, 1 November 2010, S688, 2010.
  8. K T Malinowski, M A Yousuf, T J McAvoy, W D D’Souza, “Integration of optical tracking with dynamic treatment couch real-time tracking for intra-fraction motion compensation,” International Journal of Radiation Oncology*Biology*Physics, Volume 78, Issue 3, Supplement, 1 November 2010, Pages S698, 2010.
  9. M A Yousuf, K T Malinowski, T J McAvoy, W D D’Souza, “A Novel Treatment Couch for Real-Time Tracking of Respiration Induced Target Motion: Evaluating its Geometric Accuracy,” Medical Physics 37, 3185, 2010.
  10. M A Yousuf, K T Malinowski, S A Naqvi, W D D’Souza, “Determining the optimal gating window size by considering the effect of tumor displacement on dose distributions,” Medical Physics 37, 3184, 2010.
  11. E Ataer-Cansizoglu, E Bas, M A Yousuf, S You, W D D’Souza, D Erdogmus, “Towards Respiration Management in Radiation Treatment of Lung Tumors: Transferring Regions of Interest from Planning CT to Kilovoltage X-ray Images”. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Merging Medical Humanism and Technology”, Buenos Aires, Argentina, August 31 - September 4, 2010.
  12. K T Malinowski, M A Yousuf, T J McAvoy, W D D’Souza, “Couch Motion Compensation,” Real-Time Motion Adaptive Radiation Therapy Workshop, Lubeck, September 2009.
  13. M A Yousuf, T J McAvoy, W D D’Souza, “Performance Characteristics of an Experimental Couch for Real-Time Tumor Motion Tracking,” Medical Physics 36, 2676, 2009.
  14. M A Yousuf, P C Rivera, M P Diaz and R M Chaveznava, “Lung Tumor Tracking and Couch Control - A Feasibility Study,” International Conference on Electrical Engineering and Applications (ICEEA 2008), San Francisco, USA, 22-24 October, 2008
  15. M A Yousuf, A S Sanders, A I S Ochoa and R M F Somoza, “Real-time Tumor Tracking – Modeling and Simulating the Process,” 7th WSEAS International Conference on Application of Electrical Engineering (AEE’08), Trondheim, Norway, July 2-4, 2008.
  16. F A Lelo de Larrea de la Peña, S V P Vértiz, D J E Berrios, J A P Huelsz, E M Servín and M A Yousuf, “Automation at a Stamping Industry,” 7th WSEAS International Conference on Robotics, Control and Manufacturing Technology (ROCOM '07), Hangzhou, China, April 15-17, 2007. ISBN: 978-960-8457-67-6
  17. R M Chaveznava, V C Hernandez and M A Yousuf, “Web Technology for Engineering and Computer Science Learning,” Conference on Information Technology, Organisations and Teams, Lisbon, Portugal, May, 19-20, 2007.
  18. R M Chaveznava, V C Hernandez and M A Yousuf, “Learning Control Architectures by Robotics Application,” 5th WSEAS International Conference on Education and Educational Technology, Tenerfie, Canary Islands, Spain, Dec 16-18, 2006.
  19. E M Servín and M A Yousuf, “TRIZ Motivated Design of a Two-Armed Manipulator for the Stamping Industry,” 1st Iberian & Latin American Conference on Technological Innovation, Puebla, Mexico, 4-7 September 2006. Published in “TRIZ – Un Nuevo enfoque para la innovación systemática,” ed. E. C. López ISBN: 968 863 923 0.
  20. M A Yousuf, A Bashir, M E L Flores, R F Cortés, G G Arreguín, “Kinematics and Workspace Analysis of a Novel 3-DOF Parallel Manipulator,” XI Annual Conference of SOMIM, 2003.
  21. M E L Flores, A Bashir, M A Yousuf, B V Neri, C V Hugo, Z Mario, C C Eduardo, “Análisis de Posición, Geometría y Cinemática del Manipulador Paralelo DELTA 580,” Conference in Reynosa, Mexico, 2003.
  22. M A Yousuf, “Neural Networks and Some of Their Applications,” IEEE Conference on Millennium Technologies, December 1999, Karachi, Pakistan, (published in the proceedings.)

Other Miscellaneous Publications

  1. H de las Heras and M A Yousuf, “2010 US Science and Engineering Festival Report,” Newsletter of the American Association Of Physicists in Medicine, Volume 35, No. 6, November/December 2010.
  2. L A M Cabrera, J R J Tapia, L C A Coello, F E Barrios, M G O Mejía, V M G Medina and M A Yousuf, “Design of an Adaptive Liquid Vending Machine,” the TRIZ Journal, July 2008.
  3. M T T Cohen, L M G Zamudio and M A Yousuf, “TRIZ Motivated Design of an Amphibian Bicycle,” The TRIZ Journal, October 2006.
  4. E M Servín and M A Yousuf, “A Novel Manipulator Design Using TRIZ Methodology,” Published in The TRIZ Journal, Dec 2006.
  5. M A Yousuf, “Pomegranate Seed Extractor,” NASA Tech Briefs Create the Future Design Contest, 2007. http://www.createthefuturecontest.com/
  6. L A M Cabrera, J R J Tapia, L C A Coello, F E Barrios, M G O Mejía, V M G Medina and M A Yousuf, “Design of an Adaptive Liquid Vending Machine,” NASA Tech Briefs Create the Future Design Contest, 2007. http://www.createthefuturecontest.com/

Invited Talks and Presentations

  1. M A Yousuf, “Medical Robots and Other Devices,” Lecture delivered at the meeting of NED Alumni Association of DC, April 29, 2012.
  2. M A Yousuf, “Online Office – Prospects for Pakistani Women,” at the University of Karachi, Karachi, Pakistan, 1999.
  3. M A Yousuf, “A Gentle Introduction to Genetic Algorithms,” Workshop on Artificial Intelligence, NED University of Engineering and Technology, 22-25 April 2000, Karachi, Pakistan.

Supervised Thesis and Project Work - Graduate:

  1. AG Yesserie, “Predicting Car Crash Severity and Frequency in Maryland”, UMBC Spring 2024
  2. K Ali and AK Mandal, “ti-Money Laundering Detection for IBM transactions using Machine Learning”, UMBC Spring 2024
  3. A Atai, “Analyzing tweets for predicting mental health states using machine learning”, UMBC Spring 2024
  4. AM Gemechu, “Predicting maintenance of turbo aircraft engine (Preventive maintenance)”, UMBC Spring 2024
  5. B Gopal, "Prediction of Heart Disease in Middle-Aged People Using Machine 
  6. Learning + COVID", UMBC Spring 2024
  7. D Piliptchak, "Preventing Mortality After Hospitalization: Identifying Patients at High 
  8. Risk of Death Post ED/Hospital Discharge", UMBC Spring 2024
  9. GR Manda, PR Kavali, and P Lakpatharun, “Cricket Insights: Unveiling Team Performance And Predicting Future Success”, UMBC Spring 2024
  10. K Karre, “Deep Weed Detection”, UMBC Spring 2024
  11. P Robilotto, “MIMIC-IV dataset of actual patients. Risk of death after discharge”, UMBC Spring 2024
  12. S Gaddam, “Unlocking Pediatric Heart Health with Machine Learning”, UMBC Spring 2024
  13. CM Joynes, “Sex differences in biomarkers of Alzheimer’s, brain volumes, and cognition after the onset of amyloid β accumulation”, UMBC Spring 2024
  14. JL Martin, “Cluster Buster: A Machine Learning Algorithm for Genotyping SNPs from Raw Data”, UMBC Spring 2024
  15. MS Shafieinouri, “The Impact of Endocrine, Nutritional, Metabolic, and Digestive System Disorders on the Risk of Alzheimer's and Parkinson's Diseases”, UMBC Spring 2024
  16. NL Johnson, “Using Single-Cell RNA Sequencing to Characterize Viral Activity in Alzheimer’s Brains Relative to Healthy Brains”, UMBC Spring 2024
  17. N Kuznetsov, “CNV-finder: Streamlining Copy Number Variation Discovery”, UMBC Spring 2024
  18. P Robilotto, "A Physiological Parameter Based Model Predicting Risk of Mortality Within One Year Post Hospital/Emergency Department Discharge: Data from the MIMIC-IV Database", UMBC, Fall 2023
  19. A Inuganti, "The Impact of Big Data on Healthcare and Higher Education," presented to UMBC audience in Nov 2023.
  20. PB Ranjankar, "The Price Prediction Recommendation Model for Small Business", UMBC, Fall 2023
  21. SSR Chagam, AR Emmanani, and DG Gandla, "Enhanced Diabetic Retinopathy Detection with Customized DENSENET-121", UMBC, Fall 2023
  22. YZ Chen, "The modifiable factors in dementia using machine learning", UMBC, Fall 2023
  23. SRG Morales, "Utilizing machine learning for personalized drug targeting of SCLC", UMBC, Fall 2023
  24. S Kankanala, "Sentiment Analysis of Online Product Reviews", UMBC, Fall 2023
  25. A Levi, "Career Success and Employment Turnover Prediction", UMBC, Fall 2023
  26. SM Meda, "Time Matters: Enhancing Diabetes Management through Temporal Analysis", UMBC, Fall 2023
  27. HR Olesen, "News Article Sentiment Toward Climate Change in the Region Affected by Hurricane Ian", UMBC, Fall 2023
  28. DP Adhikari, "Building a Personalized Beauty Product Recommendation System Based on User Behavior", UMBC, Fall 2023
  29. R Ullah "The Development of a unified content recommendation system based on Netflix, Hulu, Disney Plus, and Amazon Prime Video", UMBC, Fall 2023
  30. M Tirunahari, "Sleep detection via live video processing", UMBC, Fall 2023
  31. U Baidya and P Gadikoppula, “Early-stage diabetes risk prediction,” UMBC, Spring 2023
  32. A Waheed, BN Katikey, and A Sayani, “A Study of Detecting COVID-19 Severity Using Lung Ultrasonography,” UMBC, Spring 2023
  33. MK Bharatham S Gande, and CR Jakkireddy, “Bone cancer detection using image segmentation,” UMBC, Spring 2023
  34. S Chiluvera and K Vinay Kumar, “Analyzing and Predicting Rental Bike usage using weather data: A machine learning approach,” UMBC, Spring 2023
  35. S Chaikin and TER Vuyyuru, “Creating Convolutional Neural Network Models for Identifying Flying Objects,” UMBC, Spring 2023
  36. S Veeranki, “Algorithmic trading with Fourier analysis,” UMBC, Spring 2023
  37. F Blen, “Crime Forecasting: Using Data to Predict Crime in Baltimore’s Neighborhood,” UMBC, Spring 2023
  38. V Gupta and AR Jadhav, “Detecting Emergency Using Audio Classification,” UMBC, 2023
  39. HK Edvalapati, S Kasireddy , and SN Yeruva, “Predicting the Price of Pre-owned Cars in USA,” UMBC, Spring 2023
  40. H Vyas, “AIhub: Your One-Stop Destination for Machine Learning and Artificial Intelligence,” UMBC, Spring 2023
  41. JP Lavyavath, P Ponakalla, and S Settipalli, “Predicting Earthquakes Using ML,” UMBC, Spring 2023
  42. Y Myla, AP Patel, “Cryptocurrency prediction model,” UMBC, Spring 2023
  43. V N B Torres, “Modelo Modificado del Manipulador de la Universidad de Maryland,” Tec de Morelia, Morelia, Mexico, 2003.
  44. G G Arreguín, “Análisis de Trayectorias Libres de Colisiones para un Manipulador Paralelo de 3 GDL”, Tec de Morelia, Morelia, Mexico, 2002.
  45. F C Ricardo, “Comparación de los Espacios de Trabajo de los Manipuladores Serie y Paralelo con los Mismos Grados de Libertad”, Tec de Morelia, Morelia, Mexico, 2002.

Supervised Thesis and Project Work - Undergraduate:

  1. B Hura, “Treatment of Lung Tumors Using Cyberknife Robotic System,” Karakoram International University, Pakistan, July 2012.
  2. M H Zaidi, “Tracking of Tumors in Cyberknife Radiotherapy,” Karakoram International University, Pakistan, July 2012.
  3. N Muhammad, “A Study of the Radiation Dose Coverage in Robotic Radiotherapy,” Karakoram International University, Pakistan, July 2012.
  4. N Ahmad, “Radiosurgery of Spinal Cancer using Cyberknife,” Karakoram International University, Pakistan, July 2012.
  5. M Nisar, “Radiative Treatment and Localization of Thoracic Tumors,” Karakoram International University, Pakistan, July 2012.
  6. Noorida, “MRI Guided Tumor Tracking in Cancer Radiotherapy,” Karakoram International University, Pakistan, July 2012.
  7. S Ahsan, “Magnetic Resonance Imaging for Lung Cancer Detection,” Karakoram International University, Pakistan, July 2012.
  8. T Fida, “MRI in the Imaging of Nasopharyngeal Cancer,” Karakoram International University, Pakistan, July 2012.
  9. Z Akbar, “Segmentation of Bones in MRI and CT Images,” Karakoram International University, Pakistan, July 2012.
  10. F Jabeen, MRI and its clinical applications, Karakoram International University, Pakistan, July 2012.
  11. A J S Lopez, “A Study of MEMS – Micro Electro Mechanical Systems”, Tec de Monterrey, Santa Fe Campus, Mexico, 2007.
  12. J C Pérez and M R Esquivel, “Mechanical Construction of a Cartesian Robot with One degree of Freedom”, Tec de Monterrey, Santa Fe Campus, Mexico, 2007.
  13. G O Mejia, “Boe-Bots and Table Football”, Tec de Monterrey, Santa Fe Campus, Mexico, 2007
  14. N Turkia, “Developing the Electrical Control System for the Ford Mustang - Alison”, Tec de Monterrey, Santa Fe Campus, Mexico, 2007.
  15. A R Vargas, “Automatic Car Loading and Unloading System”, Tec de Monterrey, Santa Fe Campus, Mexico, 2007.
  16. J P M Esponda, "Design and Construction of a Rope Climbing Robot," published in the 10th International Conference on Climbing and Walking Robots, 16-18 July 07, Singapore
  17. M O Andrade “Predicting Blood Pressure Using Neural Nets,” Tec de Morelia, Mexico, 2002.
  18. C L F Prado, “A report on the applications of genetic algorithms,” Tec de Morelia, Mexico, 2002.
  19. A Calderon, “A comparative study of freeware/shareware neural network tools available on DOS / Windows platform, with some representative applications,” Tec de Morelia, Morelia, Mexico, 2002.
  20. J Aguirre, “A study of recent trends in Artificial Life / Digital Biology,” Tec de Morelia, Morelia, Mexico, 2002.
  21. A C Fernandez, “A report on the financial applications of neural networks with explanations of techniques used,” Tec de Morelia, Morelia, Mexico, 2002.
  22. H Balam, “Financial forecasting (S & P 500 index) using neural nets,” Tec de Morelia, Morelia, Mexico, 2002.
  23. M E S Orozoco, “Neural network based prediction of diabetes,” Tec de Morelia, Morelia, Mexico, 2002.
  24. D Corona, “Use of Neural networks and genetic algorithms in weather forecasting,” Tec de Morelia, Morelia, Mexico, 2002.
  25. N A Zeeshan and S Momin, “To understand and predict musical preferences of human listeners using neural nets,” Hamdard Institute of Information Technology and KASBIT, 2000.
  26. S Abbasi, “Neural nets based face recognition system,” Hamdard Institute of Information Technology, 1999.
  27. N Zai, “Diabetes Prediction in Prima Indians,” Hamdard Inst of Information Technology, 1999.
  28. M Nazim, “Loan Approval,” Asian Institute of Management, 1999.
  29. S Ahmer, “Prototype neural network based semiconductor curing furnace controller,” Asian Institute of Management, 1999.
  30. F Rizvi, “A study in the possible use of neural nets in the ‘Hypothesis testing’ process,” Asian Institute of Management, 1999.
  31. Farooqi, “Neural Nets in Semiconductor Etch Process – a case study,” Asian Institute of Management, 1999.
  32. K Khalid, “Economic forecasting (World Bank – basic indicators) using neural nets,” Hamdard Inst. of Inf. Tech., 1999. 
  33. N A Zeeshan, “Financial forecasting (S & P 500 index) using neural nets,” Hamdard Inst. of Inf. Tech., 1999.
  34. R Ahmed, “Signature verification using neural nets,” Hamdard Inst. of Inf. Tech., 1999.
  35. S S Hussain, “Bankruptcy prediction using neural nets,” Hamdard Inst. of Inf. Tech, 1999.

High School Students Participating in Healthcare Engineering Research:

  1. Amy and Anabel (2024), "Development of an Alzheimer’s Resource Website for Young Students, with Information, Weblinks, and Python Functions for Data Processing, Machine Learning, and Brain Image Manipulation." Presented at the IEEE STEM Education Conference (ISEC) Princeton, March 2024. 
  2. Ethan (2019), An android-based system to detect unusual heart behavior (undisclosed details), in collaboration with Dr. Vladimir Shapovalov @ Bronx High School
  3. Benjamin (2019), An Arduino and android-based system to help paralytic patients (undisclosed details), in collaboration with @ Bronx High School
  4. A Ali (2018-19), Image Processing in Excel, Presented at the IEEE STEM Conference, March 2019, Princeton NJ
  5. A Ali (2018-19), Indoor localization methods for COPD patients 
  6. A Ali (2018-19), Review paper: Latest Developments in Ultrasound (in progress), in collaboration with JHU BME and Jennifer Suon (Towson University)
  7. Manasa (2016-17), Developed a system to help blind people to read medicine information into an Android App, which keeps track of medicine intake and timings. (This project was also a winner of the White House Science Fair 2016.)
  8. S Somji (2015-2016), A Low-Cost, Long-Term, Contact-less Identification System of Cognitive Stress Using Machine Learning and Physiological Parameters
  9. Suri (2014-15), Developed a Braille Alphabet Learning system. She has formed three companies already.
  10. M Varma (2013-15), Developed a wireless smartphone-based system for the diagnosis of pulmonary illnesses. The project was a winner of the White House Science Fair 2016, Davidson Fellowship 2016, 2015 Intel ISEF finalist, Google regional finalist 2015, etc. Won many awards for this work, including Intel Science Competition. Named among “Top 22 under 22”. Now a student at Stanford University.

Invention Disclosure (Patent pending)

  1. E Ataer-Cansizoglu, E Bas, M A Yousuf, S You, W D D’Souza, D Erdogmus, "Towards Respiration Management in Radiation Treatment of Lung Tumors: Transferring Regions of Interest from Planning CT to Kilovoltage X-ray Images," with the collaborating group at Northeastern University.

Consulting Work

With TPHS, FL

With ANAST LLC, TN

With UMI Verrazzano, France

With JHMI, MD

With JHU Sports Surgery, MD

With Meharry Medical College, Nashville, TN

With JHMI Division of Surgery

With FacetLINK, NJ

Engineering Education 

Engineering education research is a field of inquiry that creates knowledge that aims to define, inform, and improve the education of engineers*. 

We have been active in this area for 20+ years mainly because we want to train our students in the best possible way, using the best technologies and techniques available. Some of the questions that we try to answer are:

[*] https://en.wikipedia.org/wiki/Engineering_education_research

On-going Outreach Projects in Education: 

Artificial Intelligence in Skardu, Pakistan: More than 60 students are currently members of the WhatsApp group. A few online presentations were already given by me and other volunteer scientists on Data Science

TELENT – Technical Education in Gilgit, Pakistan: A program to help students in Gilgit city who need help in deciding a career path, some online training, and coaching in the areas of technical education. 

Physics, Mathematics, and Machine Learning Enrichment Program in Gilgit-Baltistan, Pakistan: Proposal submitted to the ‘Physics Without Frontiers’ program of the International Center for Theoretical Physics, Trieste, Italy. 4 international collaborators (all work on Machine Learning, Quantum Computing, etc).

High School Students in Machine Learning: A program to train local Montgomery County students in the field of Machine Learning. 

Publications and Conference Presentations

  1. MA Yousuf, MN Belfiore, and A Ali, “AI tools to make class activities more inclusive and accessible for students with learning challenges.” To be presented at the Teaching and Learning with AI Conference, July 2024, Orlando, FL. 

  2. MA Yousuf, MN Belfiore, and A Ali, “A rubric for grading assignments that explicitly allows students to use GenAI.” To be presented at the Teaching and Learning with AI Conference, July 2024, Orlando, FL. 

  3. MA Yousuf, "Data Management, Ethical and Legal Issues in Data Science (including Generative AI)," Montgomery County Leadership Academy (MCLA), November 2023

  4. MA Yousuf, A Ali, B Bashir, "Using Generative AI to Develop and Promote Open Educational Practices," 2023 Maryland OER Summit: Cultivating Agency through Open Educational Practices, Salisbury University, Maryland. Dec 2023/ Google slides: https://docs.google.com/presentation/d/1JxoMFOncwk2HDDGneLsNcXkLHsgGEmbPXzWcICG1a8E/edit?usp=sharing 

  5. B Bashir, A Ali, and MA Yousuf, "Involving Students in Developing Learning Material for Science and Humanities Courses Using Generative AI," Teaching & Learning with AI, University of Central Florida, Orlando, FL Sept 2023. Google slides: https://docs.google.com/presentation/d/11OU2dpJN2U81RrNXso2BTIP3L9YB65PHcBjeIWWBg68/edit?usp=sharing. Paper / Document: https://docs.google.com/document/d/1cefsDSAYjCYXUYm2pWTTWz4OfchKsv5HMqjNUobrkXg/edit?usp=sharing 

  6. A Ali, V Gupta, B Bashir, and MA Yousuf, "Class Activities to Engage Students in the Debate on the Role AI May Play in the Future," Teaching & Learning with AI, University of Central Florida, Orlando, FL Sept 2023. Google slides: https://docs.google.com/presentation/d/1ixOMYzdwwrNG0cakyret4ZKyL3s9yisW8-pkyPPsbNw/edit?usp=sharing Paper / Document: https://docs.google.com/document/d/17G3iNNPKtpdQdsuQJ5nWVsRXuKK8YKOdtK9PpeFrnqQ/edit?usp=sharing 

  7. N G Gray, M A Yousuf, “Engage Young Students on Social Justice Matters”, 2022 Diversity and Inclusion Conference, Thursday, October 20, 2022, and October 21, 2022.

  8. A Ali, H Ali and M A Yousuf, “Simple Image Processing in Excel,” presented at the 2019 IEEE Integrated STEM Education Conference (ISEC), March 16, Princeton, NJ.

  9. M A Yousuf and I Woiciechowski, “Equations that changed the world,” NCTM 2019, San Diego.

  10. M A Yousuf, “Physics of Sports and a Tale of Two Olympians,” NSTA 2019, St. Louis.

  11. M A Yousuf and Laura Saxton, “STEAMy Spreadsheets”, NSTA Regional Baltimore, October 5–7, 2017

  12. M A Yousuf, R Villastrigo and I Woiciechowski, “Developing the Postulates of Special Relativity in Group Discussions,” NSTA Los Angeles, April 2017

  13. M A Yousuf and R Haugh, “The Poetry of Science and the Science of Poetry,” NAGC Florida, Nov 3-6, 2016.

  14. M A Yousuf and I Woiciechowski, “Space-time diagrams and Einstein’s Theory for Dummies,” NAGC Florida, Nov 3-6, 2016.

  15. M A Yousuf and V Schneider, “Benefits and Challenges of Mixing Sports into a Physics Course,” presented at the 62nd Annual NAGC Convention, Phoenix, Arizona, Nov 12-15, 2015.

  16. M A Yousuf and C Murray, “Science in a Global Perspective – Understanding the Science Policy Process,” presented at the 62nd Annual NAGC Convention, Phoenix, Arizona, Nov 12-15, 2015.

  17. M A Yousuf, Using LEGO Robots to Create Smileys, Presented at the 61st Annual NAGC Convention (National Association for Gifted Children), Baltimore, Maryland, November 13-16, 2014.

  18. R M Chaveznava, M A Yousuf, V C Hernandez and I Caldelas, “Internet en la Enseñanza de Conceptos en Ingeniería,” IADIS Conferencia Ibero-Americana WWW/Internet (CIAWI 2008).

  19. S F Rosales, R E G Vara, G Olivera, K Harris, L C Albiztegui, J C Pérez, V C Hernandez, R M Chaveznava and M A Yousuf, “Educational Robots for Economically Challenged Communities,” International Conference on Engineering Education, Pécs-Budapest, Hungary, 27-31 July 2008.

  20. M A Yousuf, “Solving Physics Problems Using Variable Flow Diagrams,” International Conference on Engineering Education, Pécs-Budapest, Hungary, 27-31 July 2008.

  21. R M Chaveznava, M A Yousuf, I Caldelas, “Project Proposals to Improve Engineering Learning,” International Conference on Engineering Education, Pécs-Budapest, Hungary, 27-31 July 2008.

  22. R M Chaveznava, M A Yousuf, I Caldelas, “Strategies to Motivate Engineering Learning,” poster presentation at the International Conference on Engineering Education, Pécs-Budapest, Hungary, 27-31 July 2008.

  23. R M Chaveznava, V C Hernandez and M A Yousuf, “Web Technology for Engineering and Computer Science Learning,” Conference on Information Technology, Organisations and Teams, Lisbon, Portugal, May, 19-20, 2007.

  24. M A Yousuf, V C Hernández and R M Chaveznava, “Learning Two-Dimensional Physics and Mathematics through their Applications in Robotic Manipulators,” International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, (CIS2E 06), December 4 - 14, 2006, IEEE – University of Bridgeport.

  25. R M Chaveznava, V C Hernandez and M A Yousuf, “Learning Control Architectures by Robotics Application,” 5th WSEAS International Conference on Education and Educational Technology, Tenerfie, Canary Islands, Spain, Dec 16-18, 2006.

  26. M A Yousuf, R M Chaveznava, and V C Hernández, “Robotic Projects to Enhance Student Participation, Motivation and Learning,” IV International Conference on Multimedia and Information & Communication Technologies in Education (m-ICTE2006), 22-25 November 2006, Sevilla, Spain. ISBN Vol. III (13): 978-84-690-2474-4.

  27. M P Díaz and M A Yousuf, “Learning Differential Equations using Simple Laboratory Experiments,” Active Learning in Engineering (ALE) Conference, Monterrey, 7-9 June 2006. Published in the proceedings. 

  28. M A Yousuf, “Problem Solving Strategies in Physics and the Variable Flow Diagrams,” Congreso de experiencia professional, Tec de Monterrey – Campus Santa Fe, December 2005.

  29. M A Yousuf, “An Inclusive Education,” Invited talk at “Artificial Intelligence and Educational Robotics in the Technology in the Classroom Mini-conference”, Decision Sciences (DSI) Meeting, Baltimore, Maryland, November 22-25, 2008.

  30. M A Yousuf, “The Emerging Trends in Private Education,” HRCP Workshop on Private Education, April 2000, Karachi, Pakistan.

  31. M A Yousuf, “Online Office – Prospects for Pakistani Women,” at the University of Karachi, Karachi, Pakistan, 1999.

Books and book chapters

  1. M A Yousuf, “Robots in Education,” chapter published in the “Encyclopedia of Artificial Intelligence”, (Eds.) J R Rabuñal, J Dorado and A Pazos, Information Science Reference, USA, 2008. ISBN: 978-1-59904-849-9.

  2. M A Yousuf, V C Hernandez, and R M Chaveznava, “Learning Two-Dimensional Physics and Mathematics through their Applications in Robotic Manipulators,” in “Innovations in E-learning, Instruction Technology, Assessment, and Engineering Education,” ed. M Iskander. Springer 2007. ISBN: 978-1-4020-6261-2.

  3. M A Yousuf, “Elementary Techniques of Integration,” 1985.

  4. M A Yousuf, “To Prove” (a collection of proofs of most commonly used formulas in undergraduate mathematics), 1984.

List of Courses Taught

Over the last 30 years, I have taught a wide range of courses on artificial intelligence and big data. The course materials for these courses are either available via Blackboard LMS or have been removed due to their age. This page lists all of the courses I have taught and provides information about some of the free resources that are still available.

Books to Read

These are the most useful books for ML:

Graph Analytics

Following references taken from a post by Maryam Miradi.

Some AI in Healthcare Resources

Artificial Intelligence in Films (A Short Course)

Note: Advertised (but never offered) at JHU, Summer 2023. You can find the course announcement here: https://events.jhu.edu/form/odysseyyousafsummer23 

See my Youtube playlist (movies are not free, just their trailers), https://www.youtube.com/playlist?list=PLtIUKRnuBVlP1a3ivmDFMBTeGq70krafW 

Introduction to the Short Course

The purpose of this short course is to discuss the ethics of AI, using movies as examples. Starting from the sci-fi movie Metropolis, attempts have been made to depict a world dominated by technology, venturing into a future where intelligent robots roam the earth and underprivileged citizens suffer due to the high cost of living. The discussion will revolve around a few movies, each related to AI/Robotics but focused on a different theme. The course will end with a final class on the new wave of generative AI models like ChatGPT and the ethical issues they raise. 

This course will blend a study of the AI roadmaps of some developed countries vs sci-fi movies to understand the ethical, scientific, and political decisions we have to make now for a better and sustainable future. 

Potential List of Topics

Selected Movies

We'll be discussing some of the following movies/shows:

Film: Metropolis (1927)

Why?: It is known as the science fiction masterpiece by Fritz Lang, created almost a century ago. It depicts the conflict between the upper class and the lower class. 

Watch here: https://www.youtube.com/watch?v=8gCeu3BRvuk&list=PLtIUKRnuBVlP1a3ivmDFMBTeGq70krafW&index=1 

or rent full movie https://kinonow.com/film/the-complete-metropolis/5c9b92935fcac10fabaf0a30 

not sure if this version is legal but it is kino's copy on YouTube, https://www.youtube.com/watch?v=W_4no842TX8

Read the summary here: https://julianwhiting.files.wordpress.com/2013/09/metropolis.pdf 

Film: Ex Machina (2014) 

Why?: The plot is around romantic interest developed by an AI female robot with a computer scientist

Watch here: https://www.youtube.com/watch?v=XBSYCM1oTNg&list=PLtIUKRnuBVlP1a3ivmDFMBTeGq70krafW&index=4 

Read the summary here: https://en.wikipedia.org/wiki/Ex_Machina_(film) 

and https://www.gradesaver.com/ex-machina-film/study-guide/summary 

Film: Her (2013)

Why?: Similar to the above but here the movie depicts a real man who develops a relationship with a female AI virtual assistant.

Watch here (not free): https://www.youtube.com/watch?v=C51B50Qh6sI 

Read the summary here: https://en.wikipedia.org/wiki/Her_(film) and https://en.wikipedia.org/wiki/Her_(film) 

The Philosophy of 'her' Explored, https://www.youtube.com/watch?v=EGcBNACe80M 

TV series: Westworld

Why?: The movie talks about the use of AI and robots for amusement, by rich humans. These systems do evolve beyond the expectations of developers.

Watch here: https://www.youtube.com/show/SCqjql1E2-B6Yq__sFuM53vA?season=1&sbp=CgEx 

Westworld explained, https://www.youtube.com/watch?v=Vb7r9m-DYpU 

Read the summary here: https://en.wikipedia.org/wiki/Westworld_(TV_series) 

Film: 2001: A Space Odyssey

Why?:

Watch here: https://www.youtube.com/watch?v=peMX_zlIIA4 

Read the summary here: https://en.wikipedia.org/wiki/2001:_A_Space_Odyssey_(film) 

Film: AI (2001)

Why?: The movie revolves around the innocent love of a child for her mother but brings in many philosophical issues into it, in particular about human experiences. 

Watch here: https://www.youtube.com/watch?v=idBXGr5VRec 

Movie Explained: https://www.youtube.com/watch?v=N4s7EzMeat8

Read the summary here: https://en.wikipedia.org/wiki/A.I._Artificial_Intelligence

AI Policy

AI Governance 

Top 10 resources to build your AI governance framework (thanks to the LinkedIn post by Oliver Patel, https://www.linkedin.com/posts/oliver-patel_top-10-resources-to-build-your-ai-governance-activity-7170342288777293824-JcG2?utm_source=share&utm_medium=member_desktop

 At the recent AI Governance Professional (AIGP) training course, I highlighted 10 key resources which organizations should leverage when developing their AI governance policy framework:

1. EU AI Act
Leaked text, not yet adopted: https://lnkd.in/ejawABqr

 2. NIST AI Risk Management Framework (AI RMF 1.0) and Playbook
https://lnkd.in/eRwhsnZe
 https://lnkd.in/e46dqGrH

 3. OECD AI Principles
https://lnkd.in/eEcydZ6j

 4. ISO/IEC 42001 - Artificial Intelligence Management System
https://lnkd.in/er8mH7cu

 5. OECD Framework for the Classification of AI Systems
https://lnkd.in/ekDM637W

 6. Blueprint for an AI Bill of Rights, White House OSTP
https://lnkd.in/eke_VWGQ

 7. President Biden Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
https://lnkd.in/dfzHbsHb

 8. ISO/IEC 23894 Artificial Intelligence Guidance on Risk Management
https://lnkd.in/enUZZjMg

 9. AI Standards Hub
https://lnkd.in/erVdP4g7

 10. IAPP - Global AI Law and Policy Tracker
https://lnkd.in/exT3jg4U

AI Law and Policy Cheatsheets

1. EU AI Act Cheat Sheet: https://www.linkedin.com/posts/oliver-patel_eu-ai-act-cheat-sheet-understand-activity-7139895340735844352-ZD6p?utm_source=share&utm_medium=member_desktop

2. China AI Law Cheat Sheet: https://www.linkedin.com/posts/oliver-patel_china-ai-law-cheat-sheet-understand-activity-7143563710836457472-TBHC?utm_source=share&utm_medium=member_desktop

3. U.S. Federal AI Policy Cheat Sheet: https://www.linkedin.com/posts/oliver-patel_us-federal-ai-policy-cheat-sheet-activity-7152578889167302656-mubu?utm_source=share&utm_medium=member_desktop

4. U.S. State AI Law Cheat Sheet: https://www.linkedin.com/posts/oliver-patel_us-state-ai-law-cheat-sheet-by-oliver-activity-7154032196264030208-D_SZ?utm_source=share&utm_medium=member_desktop

5. Gulf Countries AI Policy Cheat Sheet: https://www.linkedin.com/posts/oliver-patel_gulf-countries-ai-activity-7166051154857033728-G6tg?utm_source=share&utm_medium=member_desktop

6. UK AI Policy Cheat Sheet: https://www.linkedin.com/posts/oliver-patel_uk-ai-policy-cheat-sheet-after-activity-7161328616373432320-F9WE?utm_source=share&utm_medium=member_desktop

Online Data Sets

General

Medical / Health / Epidemiology 

Centers for Disease Control and Prevention, National Center for Health Statistics

Medical Expenditure Panel Survey (MEPS), https://www.meps.ahrq.gov/mepsweb/ 

Center for Aging and Population Health, https://www.caph.pitt.edu/research/epidemiologic-research/ 

Health Information National Trends Survey (HINTS), https://hints.cancer.gov/ 

COVID-19 data from Johns Hopkins JUH, https://github.com/CSSEGISandData 

COVID-19 real-time information, reporting on cases, testing, and exposure sites in Australia, https://crisper.net.au/ 

An integrated database of CRISPR-CAS9 screening experiments for human cell lines, https://www.kobic.re.kr/icsdb/ 

Bioinformatics Databases, https://subjectguides.lib.neu.edu/c.php?g=948457&p=6839134 

PhysioNet is a repository of freely-available medical research data, managed by the MIT Laboratory for Computational Physiology, 

Clinical Notes

Cancer 

Medical Imaging 

Images

Finance

Retail

Food

Sentiment Analysis

Synthetic Data

Alzheimer's Disease 

Center for Alzheimer's and Related Dementias (CARD), also a part of NIH, https://card.nih.gov/data-resources/access-data 

There are many data sources and tools available at CARD. Large population/cohort scale data:

Deep molecular data

These can be accessed through LON (https://ida.loni.usc.edu/)

Public expression data- GEO: https://www.ncbi.nlm.nih.gov/geo/

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains. (From Wikipedia, https://en.wikipedia.org/wiki/Data_science).

Here are some tips for students who are struggling to learn Machine Learning. To start in the field, you need to know a few things

  1. Mathematics (Calculus, Vectors and Matricies, Basic Linear Algebra, Regression),
  2. Statistics (Probability and Probability Distributions, Hypothesis Testing) and
  3. Python Programming (Variables, if-else, loops, Functions, lists, strings, etc. Tuples, Set, Dict, map, filter, reduce etc. OOP in Python, File handling, Numpy, Pandas. Visualisation with Python) and some other miscellaneous tools.

The minimum needed to get into our MPS in Data Science Program 

Mathematics

Statistics

Python Programming

Broad Introduction to Data Science

Introductory Machine Learning

Data Ethics

Data Science - Weekly Topics (Detailed List)

Introduction to Data Ethics, https://www.youtube.com/watch?v=qVo9oApl4Rs

[Page Under Construction]

Introduction

Genetics is an important topic to learn for people interested in AI applications in genetics for a few reasons:

References:

GenAI (Gemini) and RS Vilhekar and A Rawekar, "Artificial Intelligence in Genetics," Cureus. 2024 Jan; 16(1): e52035. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10856672/ 

Need to know topics and resources 

(Topics taken from https://onlinelearning.hms.harvard.edu/hmx/courses/hmx-genetics-2/ )

  1. Introduction to Genetics and Human Genome.

  2. The Central Dogma and Genetic Variation (The relationship between genotype and phenotype; Structure of a human gene and the effects of genetic variation). See https://www.youtube.com/watch?v=whV_CkKT7F0 and 

  3. Mendelian Genetics. Very good video introduction https://youtu.be/NWqgZUnJdAY?si=xivJTA6T9blwUyv3 

  4. Mendelian Inheritance of Disease. (Meiotic segregation, Modes of inheritance, Pedigree analysis, Penetrance and expressivity)

  5. Identifying Mendelian Disease Genes (Haplotypes and linkage studies, Determining causation of a variant, Targeted genetic testing)

  6. Chromosomal Aberrations (DNA segregation machinery, Whole chromosome and structural aneuploidy, Diagnostic techniques for chromosomal disorders)

  7. The Genetics of Cancer (Germline and somatic mutations, Tumor suppressors and oncogenes, Two hit hypothesis, Precision cancer treatments)

  8. Common Complex Traits (Architecture of a complex trait, Genome-wide association studies, Heritability and missing heritability, Understanding risk in common complex traits)

  9. Human Population Genetics (Emergence and history of human traits, Evolutionary forces and population dynamics, Ancestry testing and population-specific risk)

  10. Beyond the Genome Sequence (Mitochondrial inheritance, Unstable repeats, Epigenetic inheritance and imprinting, Gene dosage and X-inactivation)

  11. Genetics and Precision Medicine (Whole genome sequencing, Pharmacogenomics, Genome editing)

Data Sources

Python Tools

BioPython

PubChem 

Awesome Bioinformatics

Glossary of Key Terms 

(partially generated by GenAI tools)

See a more detailed list here: https://www.greeleyschools.org/cms/lib2/CO01001723/Centricity/Domain/5219/punnett%20sq%20cheat%20sheet.pdf 

I am a researcher, administrator, and professor with 25+ years of higher education experience. This includes teaching and research on engineering design, industrial consulting in the area of AI/ML/Robotics, institutional development, and curriculum work. My areas of interest include medical image processing, medical device designing, mathematical modeling of physiological processes, and the applications of Machine Learning and Artificial Intelligence to Healthcare Data. In recent times I have started focusing on Alzheimer's disease and related dementias. 

Education and Training

Other Appointments

Other Professional Activities

YouTube Playlists 

Twitter and Twitter Lists (X)

Amazon Book Lists

Personal LinkedIn

The Group in Print Media

https://maliyusuf.github.io/aliumbc/PrintMedia.htm

 

Contact maliyou1 @ umbc dot edu for more information