RU







M. Parsa Hosseini

PhD Candidate, Research & Teaching Assistant
Office: 96 Frelinghuysen Road, Piscataway, NJ 08854-8058
Email: Parsa@cac.rutgers.edu

Google Scholar/ LinkedIn/ Research Gate


BIOGRAPHY
EDUCATION
RESEARCH
WORK EXPERIENCE
PUBLICATIONS
SERVICES
COURSE WORK
CPS LAB

BIOGRAPHY

Mohammad-Parsa Hosseini is a PhD candidate in Electrical and Computer Engineering at Rutgers University. He is a member of the Cyber Physical System Laboratory (CPS Lab) at the Center of Cloud and Autonomic Computing (CAC), where he is advised by Prof. Dario Pompili. Moreover, he has the privilege of collaborating with Prof. Hamid Soltanian-Zadeh.

Parsa is collaborating with the Medical Image Analysis Lab, Henry Ford Health System, MI on medical imaging and data analysis. They have proposed and developed new brain computer interfaces for surgery evaluation in epileptic patients. As his master thesis, he has developed a computer-aided diagnosis system for pulmonary diseases.
 

EDUCATION

     
Doctor of Philosophy (PhD)
Electrical and Computer Engineering, GPA:4 
Rutgers University, New-Brunswick, NJ, USA

2013 - Present

Graduate Study
Electrical and Computer Engineering, GPA: 3.9
Wayne State University, Detroit, MI, USA

2012 - 2013

Master of Science (MSc)
Electrical and Communication Engineering: Systems, Tehran, Iran
Advised by: Prof. Hamid Soltanian-Zadeh, University of Tehran, and
Prof. Shahram Akhlaghpoor, Tehran University of Medical Sciences

2008 - 2010

Master of Science (MSc)
Biomedical Engineering: Bioelectrics, Tehran, Iran
Advised by: Prof. Emad Fatemizadeh, Sharif Technology University

2007 - 2008

Bachelor of Science (BSc)
Electrical and Electronic Engineering, Tehran, Iran
Advised by: Prof. Ali Jalali, Shahid Beheshti University
2002 - 2006

RESEARCH

  • Digital Signal Processing / Digital Image Processing
  • Data Analysis (Data Mining, Machine Learning, Big Data)
  • Medical Imaging / Medical Image Analysis
  • Computer Aided Diagnosis / Brain Computer Interface
  • Cloud Computing / Computer Networks

WORK / TEACHING EXPERIENCE   


University Instructor
Engineering Department

Rutgers, The State University of New Jersey, NJ, USA

2016 - Present

Graduate Research & Teaching Assistant
Electrical and Computer Engineering Department, Rutgers University, NJ, USA
Research: Machine learning, Big Data, Cloud Computing

2014 - Present               

Data Scientist
Image Analysis Lab., Henry Ford Health System, Detroit, MI, USA
Research: Data mining, Machine learning, Medical imaging

2013 - 2014

Graduate Research Assistant
Electrical and Computer Engineering Department, Wayne State University, MI, USA
Research: Machine Learning, Medical Imaging, Signal/Image Processing

2013 - 2014

University Instructor
Azad University, Tehran, Iran
Teaching and Research, Electrical and Computer Engineering / Computer Science

2009 - 2013

Network Engineer
Telecommunication Company, Tehran, Iran
LAN, WAN, TCP/IP, Cisco routing, Network security, CCNA

2009 - 2013

MATLAB Instructor
Statoil, a leading energy company in oil and gas production
Programming + Simulation and Model-Based Design
2008

PUBLICATIONS

Journals:
1- M.P. Hosseini, M.R. Nazem-Zadeh, D. Pompili, K. Jafari-Khouzani, K. Elisevich, H. Soltanian Zadeh, “Comparative Performance Evaluation of Automated Segmentation Methods of Hippocampus from Magnetic Resonance Images of Temporal Lobe Epilepsy Patients",  Medical Physics, 2016; 43(1): 538-553.   [PDF]     [Impact Factor: 3.2]  

2- M.P. Hosseini, H. Soltanian Zadeh, and S. Akhlaghpoor, “Three Cuts Method for Identification of COPD,” Acta Medica Iranica (AMI), 2013; 51(11): 771-778.   [PDF]

3- M.P. Hosseini, H. Soltanian-Zadeh, S. Akhlaghpoor, “Detection and Severity Scoring of Chronic Obstructive Pulmonary Disease Using Volumetric Analysis of Lung CT Images,” Iranian Journal of Radiology (IJR), 2012; 9(1): 22-27.   [PDF]

4- M.P. Hosseini, H. Soltanian-Zadeh, S. Akhlaghpoor, “Designing a new CAD system for pulmonary nodule detection in High Resolution Computed Tomography (HRCT) images,” Tehran University Medical Journal (TUMJ), 2012; 70(4): 250-256. [written in Persian]   [PDF]

5- M.P. Hosseini, H. Soltanian-Zadeh, S. Akhlaghpoor, “Computerized Processing and Analysis of CT Images for Developing a New Criterion in COPD Diagnosis,” Journal of Isfahan Medical School (IUMS), 2012; 29(174). [written in Persian]   [PDF]

6- M.P. Hosseini, H. Soltanian-Zadeh, S. Akhlaghpoor, “Computer-aided diagnosis system for the evaluation of chronic obstructive pulmonary disease on CT Images,” Tehran University Medical Journal (TUMJ), 2011; 68(12): 718-725. [written in Persian]   [PDF]
Conferences:
7- M.P. Hosseini, H. Soltanian-Zadeh, K. Elisevich, D. Pompili “Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction,” Presented at and Published in the Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, D. C. Dec 7-9, 2016.  [PDF]

8- M.P. Hosseini, A. Hajisami, D. Pompili “Real-time Epileptic Seizure Detection from EEG Signals via Random Subspace Ensemble LearningPresented at and Published in the Proceedings of the IEEE International Conference on Autonomic Computing (ICAC), Wurzburg, Germany , July 19-22, 2016.   [PDF]    [Acceptance Rate: 19/68, 27%]

9- M.P. Hosseini, M.R. Nazem-Zadeh, D. Pompili, H Soltanian-Zadeh,
“Statistical Validation of Automatic Methods for Hippocampus Segmentation in MR Images of Epileptic PatientsPresented at and Published in the Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, USA, Aug. 26-30, 2014.  [PDF]

10- M.P. Hosseini, M.R. Nazem-Zadeh, F. Mahmoudi, H Ying, H Soltanian-Zadeh, “Support Vector Machine with Nonlinear-Kernel Optimization for Lateralization of Epileptogenic Hippocampus in MR ImagesPresented at and Published in the Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, USA, Aug. 26-30, 2014.  [PDF]

11- M.R Nazem-Zadeh, J.M Schwalb, H. Bagher-Ebadian, F. Mahmoudi, M.P. Hosseini, K. Jafari-Khouzani, K. V Elisevich, H. Soltanian-Zadeh “Lateralization of temporal lobe epilepsy by imaging-based response-driven multinomial multivariate modelsPresented at and Published in the Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, USA, Aug. 26-30, 2014.   [PDF]

12- M.R. Nazem-Zadeh, J. Schwalb, H. Bagher-Ebadian, M.P. Hosseini, H. Soltanian-Zadeh, “Lateralization of Temporal Lobe Epilepsy using Intrinsic Property of Water Diffusion in Fronix Crus,” Presented at and Published in the Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Milano, Italy, May 10-16, 2014.   [PDF]

13- M.P. Hosseini, H. Soltanian-Zadeh, Sh. Akhlaghpour, “Assessing Lung Volumetric Variation to Detect and Stage COPD,” Presented at and Published in the Proceedings of the IEEE Middle East Conference on Biomedical Engineering (MECBME’2011), Sharjah, UAE, Feb. 21-24, 2011.   [PDF]

14- M.P. Hosseini, H. Soltanian-Zadeh, Sh. Akhlaghpour, “A Novel Method for Identification of COPD in Inspiratory and Expiratory States of CT Images,” Presented at and Published in the Proceedings of the IEEE Middle East Conference on Biomedical Engineering (MECBME’2011), Sharjah, UAE, Feb. 21-24, 2011.   [PDF]

15- M.P. Hosseini, H. Soltanian-Zadeh, Sh. Akhlaghpour, A. Behrad, “A New Scheme for Evaluation of Air-Trapping in CT Images,” Presented at and Published in the Proceedings of the 6th Iranian Conference on Machine Vision and Image Processing (MVIP’2010), Isfahan, Iran, Oct. 27-28, 2010.   [PDF]

16- M.P. Hosseini, H. Soltanian-Zadeh, Sh. Akhlaghpour, “Evaluation of Changes in Surface and Volume of Lung in Chronic Obstructive Pulmonary Disease,” Presented at and Published in the Proceedings of the 17th Iranian Conference of Biomedical Engineering (ICBME’2010), Isfahan, Iran, Nov. 03-04, 2010
Symposiums:
17- M.P. Hosseini, “A Cloud-Based Brain Computer Interface to Analyze Medical Big Data for Epileptic Seizure Detection,” New Jersey Big Data Alliance (NJBDA) Symposium, Montclair, USA, Mar 9, 2016.

18- M.P. Hosseini, A Hajisami, D. Pompili, "Real-time Epileptic Seizure Detection via Random Subspace Ensemble learning
Rutgers Discovery Informatics Institute (RDI2), New Brunswick, USA, Feb 23, 2016.

19- M.P. Hosseini, “Proposing a New Artificial Intelligent System for Automatic Detection of Epileptic Seizures,” International Conference on Epilepsy & Treatment 2015, Baltimore, USA, Sept. 21-22, 2015. 3(4).


20-
M.P. Hosseini, M.R. Nazem-Zadeh, D. Pompili, K. Jafari-Khouzani, K. Elisevich, H. Soltanian Zadeh, “Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI”, 6th annual New York Medical Imaging Informatics Symposium (NYMIIS), New York, USA, Sept. 2015.

21- M.P. Hosseini, “Developing a Cloud Based Platform as a Service to Improve Public Health of Epileptic Patients in Urban PlacesPresented at Reimagining Health in Cities: New Directions in Urban Health Research, Drexel University School of Public Health, Philadelphia, USA, Sept. 2015. [PDF]
 
22- M.P. Hosseini, M.R. Nazem-Zadeh, F. Mahmoudi, H. Soltanian-Zadeh, “Artificial Neural Network Analysis of T1 and FLAIR Images to Detect Epileptogenic Hippocampus for Pre-surgical Evaluation Presented at and Published in the Proceedings of the 11th Annual Research Symposium of Henry Ford Health System , Detroit, USA, 2014.

23- F. Mahmoudi, J.M. Schwalb, M.R. Nazem-Zadeh, M.P. Hosseini, H. Soltanian-Zadeh “A C4.5 decision tree predicator for Temporal Lobe Epilepsy lateralization Presented at and Published in the Proceedings of the 11th Annual Research Symposium of Henry Ford Health System, Detroit, USA, 2014.

SERVICES   

  • Reviewer
    • Journals:
      • IEEE Transaction on Medical Imaging
      • IEEE Transaction on Knowledge and Data Engineering
      • IEEE Transaction on Emerging Topics in Computational Intelligence
      • IEEE Sensors Journal
      • Computer Methods and Program in Biomedicine
      • Neurocomputing
      • Journal of Psychiatry, Depression and Anxiety

    • Conferences: IEEE ICASSP, IEEE EMBC, IEEE MECBME, ICAP, IEEE INFOCOM
  • Technical Committee
    • IEEE Consumer Communications & Networking Conference (CCNC)
  • Member of Professional Associations
    • Institute of Electrical and Electronics Engineers (IEEE)
    • Iranian Society of Machine Vision and Image Processing (ISMVIP)
    • Iranian Society of Biomedical Engineering (ISBME)
    • Young Researcher Club, Azad University

COURSE WORK  

     
Digital Signal Processing, Digital Image Processing, Video Processing, Pattern Recognition, Machine Vision, Artificial Neural Network, Advanced Image Processing, Advanced Communication Systems, Stochastic Analysis, Medical Imaging Systems, Biomedical Instrumentation, Fuzzy Logic, Programming Methodology, MATLAB Programming and Simulation.

Copyright Notice

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BIOGRAPHY

EDUCATION

RESEARCH

WORK EXPERIENCE

PUBLICATIONS

SERVICES

 COURSE WORKS


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