HELLO,
My name is MOHAMMAD SUFIAN BADAR,
EDUCATION
● PhD Engineering (Minor in Bioinformatics) Louisiana Tech University, Ruston, LA, USA
● MS Molecular Science and Nanotechnology Louisiana Tech University, Ruston, LA, USA ● MSc Bioinformatics Jamia Millia Islamia, New Delhi, India
EXPERIENCES
Assistant Professor
(Bioinformatics) (2022 to continue), Department of Computer Sciences and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard University, New Delhi, India
Teaching Faculty (Senior)
(2016-2022): Department of Bioengineering, University of California, Riverside, CA, USA
Analytics Architect (2015-2016): CenturyLink, Denver, CO, USA
Lecturer (2006-2008): Bioinformatics, Guru Nanak Dev, University, Amritsar, India Head (2005-2006): Bioinformatics, Singhania University, Rajasthan, India
Agriculture Engineer (1996 – 2002): Ministry of Defense & Aviation, Riyadh, Saudi Arabia
Courses taught: Structural Bioinformatics and Drug Design, Drug Design Lab, Introduction to Bioinformatics, Dynamics of Biological Systems Biomaterials, Biomedical Imaging, Introduction to Bioinformatics, Python, Computer Application & Bioinformatics, Data Mining, Artificial Intelligence, and Next Generation Sequencing, Computational Biology, Machine Learning
Research Guidance: PG Students (10), Undergraduate Students (12)
RESEARCH ON-GOING
(Area of Interest: Artificial Intelligence/Machine Learning)
2. Detecting Lung Cancer Using Machine Learning Algorithms
Postdoctoral Fellowship (2014–2015)
Bishop Molecular Modeling Lab, Louisiana Tech University, Ruston, LA, USA. Worked to develop techniques for on-demand comparative genomics studies of mononucleosomes using high throughput – high performance all-atom molecular dynamics simulations
1. Estimation of macro human emotions using non-invasive Bio-sensors
We are developing a device embedded with biosensors like ECG, Oximeter, GSR, Body Temp, and Gyroscope. These sensors will periodically gather data non-invasively from a subject, along with feedback on their current emotion. This data will be further used to study the correlation between variations of these measurements and the provided emotional state at a point in time.
BOOK EDITING
1. “A Guide to Applied Machine Learning For Biologists,” Springer Science and Business Media Company, Switzerland, June 2023
2. “Diagnosis & Analysis of COVID-19 using Artificial Intelligence and Machine Learning based Techniques”, Elsevier, Amsterdam, Netherlands, July 2024
3. “COVID-19: Cause, Transmission, Diagnosis, and Treatment”, Bentham Science Publishers, Executive Suite Y - 2, Building Y Saif Zone, Sharjah, U.A.E
4. “Applying Ethics to Artificial Intelligence”, Wiley, Hoboken, NJ 07030-5774 (in press)
5. “Fostering Machine Learning and IoT for Blockchain Technology: Smart Cities Applications”, Springer Nature, two Volumes (submitted)
Research Guidance: PG Students (10), Undergraduate Students (12)
References
1. Dr. Thomas C. Bishop, Associate Professor, Department of Chemistry and Physics, Louisiana Tech University, Ruston, LA, 71270, USA, 318-257-5209, bishop@latech.edu
2. Dr. David Mills, Professor, and Director, Departments: Biological Sciences, Center for Biomedical Engineering and Rehabilitation Sciences, Louisiana Tech University, Ruston, LA, 71272, USA, (318) 257-4354, dkmills@latech.edu
3. Dr. Nazimuddin M. Wasiuddin, Associate Professor of Civil Engineering, College of Engineering and Science, Louisiana Tech University, Ruston, LA, 71272, USA, (318) 257- 2392/2306, wasi@latech.edu
4. Professor Parul Agarwal, Head, Department of Computer Science and Engineering School of Engineering Sciences and Technology (SEST), Jamia Hamdard University, New Delhi, 110062, pagarwal@jamiahamdard.ac.in
5. Professor Farheen Siddiqui, Dean, Department of Computer Science and Engineering School of Engineering Sciences and Technology (SEST), Jamia Hamdard University, New Delhi, 110062, fsiddiqui@jamiahamdard.ac.in