Dr. Muhammad Ali Yousuf

Last updated on: July 31, 2022







Education and Training

Senior Research Fellow in Biomedical Engineering,

Department of General Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland, 2011-2012.


Post-Doctoral Research Fellow in Medical Physics and AI/ML Applied to Healthcare Data

University of Maryland School of Medicine, Baltimore, Maryland, 2008-2011.


Post-Doctoral Research Fellow in Big Data and Parallel Supercomputing

State University of New York at Albany, New York, 2000-2001.


Ph.D. in Intelligent Control Systems and Robotics (incomplete)

Faculty of Electrical Engineering, Universidad Nacional Autonoma de Mexico, 2004-2005


Ph.D. in Physics & Analysis of Particle Detectors Data

Quaid-i-Azam University, Islamabad, Pakistan, 1997.


DICTP/M.S. in High Energy Physics and Cosmology

International Center for Theoretical Physics, Trieste, Italy, 1992.


Other Appointments

Professor of Physics

Higher Education Commission, Pakistan.


Adjunct Professor of Physics

Krieger School of Arts and Sciences at JHU.


Adjunct Professor of Physics, Department of Physics, Astronomy & Geosciences at Towson University, Baltimore, Maryland.


Adjunct Professor of Mathematics and Engineering Design

Various local colleges and Universities, USA.



Digital mail address:

Take the first letter of my name Muhammad. Take my last name Ali Yousuf but use just the first part of it.

I work at Johns Hopkins University so take the first letter of each. Combine the two.

It is an EDUcational type domain.

Finally, do not forget the '@' and dot '.' at the right places.


#400 McAuley Hall

Johns Hopkins University at

Mt. Washington

5801 Smith Ave

Baltimore MD 21209

Ph: p1*p5*p148*p26253




I am a researcher, manager and professor with 20+ years of higher education experience. This includes engineering design, industrial consulting in the area of AI/ML/Robotics, institutional development and curriculum work.


Career Highlights

2013-to date

Research Scientist in Medical Device Design; Machine Learning and Artificial Intelligence in Healthcare;

Adjunct Professor of Physics at the Krieger School of Arts and Sciences;

Senior Team Lead / Supervisor, Online Physics Programs, Johns Hopkins University

2012-to date

Professor of Medical Physics and Data Science, Higher Education Commission, Pakistan


Professor and Acting Chairman, Department of Physics, Karakoram International University, Gilgit, Pakistan


Post-doctoral Research Fellow in Medical Physics and AI/ML Applied to Healthcare Data, University of Maryland, Maryland, USA


Professor of Engineering and Artificial Intelligence, Mexico


Founding Dean and Associate Professor, School of Information Technology, Iqra University, Karachi, Pakistan


Chairman Department of Basic Sciences and Assistant Professor of Artificial Intelligence, Hamdard University, Karachi, Pakistan



My current areas of research interest include medical image processing (Brain MRI scans), medical device designing and mathematical modeling of physiological processes (See my Twitter List and Weekly Newspaper on Medical Devices), and the applications of Machine Learning and Artificial Intelligence to Healthcare Data (See my Twitter List and Weekly Newspaper on Data Science).


In the past, I have worked in the field of Quantum Chromodynamics. I have produced half a dozen graduate students and three dozen undergraduate students with research publications. Click here to find more about my research. Click here to see the current list of publications (pdf file, last updated: 2021).



I lecture on a variety of subjects including Engineering Design, Robotics, Physics, and Science & Technology Policy. In the last 15 years, I have offered courses at Tec de Monterrey (Mexico), the State University of New York, Johns Hopkins University Krieger School of Arts and Sciences, Princeton University, and the City University of New York.



Data Science and Computer Science


Introduction to Data Science,

A semester long course on the subject.


Machine Learning

A new course (under development, and not offered yet), focusing on Deep Learning.


Deep Learning with MATLAB

Though Deep Learning can be applied to a large variety of problems, here we focus on image processing, including medical image processing. Of particular interest are 4D CT lung scans, CT Perfusion and CT Angiographic brain scans, Brain MRI, etc.


Artificial Intelligence in Films

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 four movies, each related to AI/Robotics but focused on a different theme.


YouTube AI in Films collection

A collection of some of the most powerful films which deal with these topics.


AI in Healthcare

A specialized list of readings in my personal field of AI in Healthcare.


Machine Learning, Deep Learning, AI, and related topics

Currently a book list on Amazon but will be converted to a guided reading course soon.


Machine Learning and Data Science

My weekly newspaper


Data Science and AI

A Twitter list


A small digital library of free eBooks on Data Science.

Online library.


YouTube Data Science collection

A random collection of videos on the subject, not necessarily selected based on their quality.   


Computer Science (external pages)

I no longer have time to teach CS courses but in the past, I have taught (links below take you to pages/courses NOT developed by me but I have found them useful):

Fundamentals of Computer Science (a free course by MIT/edX)

Parallel Computing (a free tutorial by Livermore Computing)

Neural Networks (a free tutorial by

Artificial Intelligence (a free course by eduCBA)

Genetic Algorithms (a free tutorial by


Virtual Reality, etc.




Physics and Engineering


The Mechanics of Sports

A 3-credit course

Physics of Sports

A 1-credit course for JHU undergraduate students, Winter 2018 and 2019.

General Physics II for non-physics majors (PHYS 212)

A 3-credit course offered at Towson University, Department of Physics

Engineering Design

This course includes all aspects of engineering and design but focuses mainly on mechatronic design of medical devices. I have offered this course at various levels including first year undergraduates, final year undergraduates (as a design course) and first year graduate students, using different books and methods. The webpage is a collection of miscellaneous resources.

Science, Technology, and Public Policy

Time permitting, I also teach Science, Technology, and Public Policy. I had offered this course at Princeton University in 2016.

Other courses taught

Medical Physics

Fluid Dynamics

Robotics and Cybernetics

Parallel Robots

Engineering Thermodynamics

Manufacturing Processes

Manufacturing Technologies

Design of Machine Elements

Electrical Circuits

Digital Signal Processing

Automated Manufacturing etc.

Chemistry in Society

I have never taught chemistry as it is not my subject but I have developed resources for others instructors whom I hire to teach Chemistry in Society and here is the webpage.







Linear Algebra (external page)

I have taught Linear Algebra for Graphic Arts a few times. I don't have my own presentations so this is an external page.

Multivariable Calculus

I have been teaching this subject for two decades. This is a collection of some of the resources.

Developmental Mathematics

I also have a pedagogic interest in the teaching of Developmental Mathematics to students with insufficient background in mathematics.

Pure Mathematics

(external page)

I have a long standing interest in:

Number Theory (click here to know more about it),

Topology (click here to know more about it), and

Differential geometry (click here to know more about it).

I also have a fascination with problems appearing in the International Mathematical Olympiad and have been following them for decades.


Social and Print Media

You can also find me in social and print media.



Intellectual Neighborhoods


The Institute for Data Intensive Engineering and Science,


Institute for Assured Autonomy,


Department of Biomedical Engineering at Hopkins,


The Johns Hopkins Center for Bioengineering Innovation and Design


Malone Center for Engineering in Healthcare,


Department of Radiation Oncology, University of Maryland School of Medicine,



Other Professional Activities

Data Science consultant, 2019-to date

Vice-President of Education, Johns Hopkins University Toastmaster Club at Eastern, 2017-2018

Founding Member of the MS Advanced Technology program, Tec de Monterrey, Mexico, 2008

Chief Organizer, Year of Einstein, Mexico City, Mexico, 2005

Founding Member, GIRATE (Robotics, Automation, and Educational Technologies Research Group), Tec de Monterrey, Mexico City, Mexico, 2004-08

Founding Member, Parallel Robotics Research Group, Tec de Morelia, Morelia, Mexico, 2002-04

Elected Member, National Academies of Mechatronics, Electronics, Digital Art, Industrial and Systems Engineering, Mechanics, Industrial Design, and Physics, 2005-2008, ITESM, Mexico

Member, American Society for Engineering Education (ASEE), USA.

Founder Member, Philosophical Society, Quaid-i-Azam University, 1991-1996

Founder Member and General Secretary, Science Society, Quaid-i-Azam University, 1991-1996

Founder Member and General Secretary, Solar Group, Karachi, 1983-1986