MD FAHIM ANJUM

605 Woodside Drive, Apt 1  Iowa City, Iowa 52246 Phone: (319)–855–3149  Email: [email protected]  Personal Website  GitHub  LinkedIn

EDUCATION Ph.D. in Electrical & Computer Engineering Exp: Aug 2021 The University of Iowa Iowa City, IA Dissertation: Electroencephalogy & Local Field Potentials in Parkinson’s Disease: Models & Diagnosis B.S. in Electrical & Computer Engineering Dec 2014 The University of Iowa Iowa City, IA Minor in Mathematics On the Dean’s List: Spring 2013, Fall 2014

TECHNICAL SKILLS

Computer Languages , C++, VHDL, php, Java, Python, Pearl, Ruby Protocols & APIs XML, JSON, REST MySQL, PostgreSQL Tools LeadDBS, MATLAB, EEGLab, LORETA, Weka, LabVIEW

RESEARCH EXPERIENCE Research Assistant at Signal Processing Lab of Prof. Soura Dasgupta Fall 2015 - Present Department of Electrical & Computer Engineering, The University of Iowa Iowa City, IA • Efficient detection of Parkinson’s Disease using EEG and Local Field Potentials • Computational neural mass model of Cortico-Basal Ganglia • Nuclear source localization using sensors Independent Research at Intelligent Information Processing Lab of Prof. Weiyu Xu Spring 2015 Department of Electrical & Computer Engineering, The University of Iowa Iowa City, IA • Efficient decoding algorithm for joint channel estimation and data detection for MIMO

PATENT A Method and a System for Diagnosing Parkinson’s Disease from Electroencephalography Data 2020 Inventors: Dasgupta, S., Anjum, M. F., Narayanan, N., and Mudumbai, . Non-provisional utility patent application United States Patent Application No. 17/020,432

JOURNAL PUBLICATIONS Anjum, M. F., Dasgupta S., Mudumbai R., Singh A., Cavanagh J. F., and Narayanan N. S., “Linear predictive coding distinguishes spectral EEG features of Parkinson’s disease”, in Parkinsonism & Related Disorders, Vol. 79, p. 79-85,doi: 10.1016/j.parkreldis.2020.08.001, Aug, 2020. Anjum, M. F., Haug J., Alberico S., Dasgupta S., Mudumbai R., Kennedy M. and Narayanan N. S., “Linear Predictive Approaches Separate Field Potentials in Animal Model of Parkinson’s Disease”, in Front. Neurosci., Vol. 14, p. 394, doi: 10.3389/fnins.2020.00394, Apr, 2020. CONFERENCE PUBLICATIONS Anderson, B. D. O., Dasgupta, S., Baidoo-Williams, H. E., Anjum, M. F., and Mudumbai, R., “Unique Maximum Likelihood Localization of Nuclear Sources”, in 58th IEEE Conference on Decision and Con- trol, Nice, Dec, 2019. Haug, J., Anjum, M. F., Anderson, B. D. O., Dasgupta, S., Mudumbai, R., and Baidoo-Williams, H. E., “On the Uniqueness of Maximum Likelihood Estimation of Nuclear Sources”, in 23rd International Symposium on Mathematical Theory of Networks and Systems, Hong Kong, July, 2018.

PRESENTATIONS Anjum, M. F., Haug, J., Alberico, S., Dasgupta, S., Mudumbai, R., Kennedy, M., Singh, A., Narayanan, N. S. and Cavanagh, J. F., “Using Linear Predictive Coding for real-time detection of Parkinson’s Dis- ease”,in College of Engineering Research Open House, The University of Iowa, Iowa City, Nov, 2020. Anjum, M. F., Haug J., Alberico S., Dasgupta S., Mudumbai R., Kennedy M. and Narayanan N. S., “Linear Predictive Coding as biomarker of Parkinson’s Disease in Electroencephalography and Field Po- tentials”, in Neuromodulation: Inputs, Outputs and Outcomes 2019, Iowa Neuroscience Institute Work- shop, Iowa City, Sept, 2019. Anjum, M. F. and Xu, W., “Maximum-Likelihood Joint Channel Estimation and Data Detection for 1-bit Massive MIMO”, in 13th Annual College of Engineering Research Open House, The University of Iowa, Iowa City, Nov, 2015.

TEACHING EXPERIENCE Teaching Assistant Department of Electrical & Computer Engineering, The University of Iowa Iowa City, IA • Detection and Estimation (Prof. Soura Dasgupta) Fall 2020 • Engineering Fundamentals II: Electrical Circuits (Prof. Mark Andersland) Fall 2015 • Principles of Electronic Instrumentation Lab (Prof. James Maxted) Spring 2015

AWARDS AND ACKNOWLEDGEMENTS Fellowship Graduate College, The University of Iowa, Iowa City, IA Spring 2021 Graduate College Post-Comprehensive Research Fellowship Featured Office of the Vice President for Research, The University of Iowa Spring 2021 Selected out of 150 nominations to be featured in the Dare to Discover campaign featuring prominant undergraduate and graduate student researchers

MEDIA COVERAGE News Article College of Engineering, The University of Iowa, Iowa City, IA 2020 UI engineers and neurologists develop a highly efficient algorithm that can detect Parkinson’s Disease through EEG data News Article The Daily Iowan Newspaper 2020 University of Iowa researchers develop algorithm to detect Parkinson’s Disease Social Media University of Iowa official facebook page, @universityofiowa 2020 https://www.facebook.com/universityofiowa/posts/10158454189123847 OTHER PROJECTS Open Source Matlab Toolbox for EEG data 2020 Anjum M. F. Matlab Toolbox for importing and organizing raw EEG data onto Matlab https://github.com/MDFahimAnjum/EEG-Data-Processing-Toolbox

REFERENCES Professor Soura Dasupta (Ph.D. Advisor) [email protected] F. Wendell Miller Distinguished Professor Department of Electrical and Computer Engineering College of Engineering at The University of Iowa

Professor Nandakumar Narayanan (Ph.D. Co-Advisor) [email protected] Juanita J. Bartlett Professor in Neurology Research Associate Professor and Vice Chair for Basic and Translational Research, Neurology Associate Director, Iowa Neuroscience Institute Assistant Director, Clinical Neuroscience Training Program Carver College of Medicine at The University of Iowa

Professor Raghuraman Mudumbai [email protected] Associate Professor Department of Electrical and Computer Engineering College of Engineering at The University of Iowa