Zeeshan Syed

Doctoral Candidate

Electrical Engineering and Computer Science

and Medical Engineering and Medical Physics

MIT EECS & Harvard Medical School

Harvard-MIT Division of Health Sciences and Technology

I am a graduate student at the MIT Computer Science and Artificial Intelligence Laboratory, working with the Data-Driven Medicine Group, the Computational Biophysics Group and the Laboratory for Computational Physiology on novel computational methods to analyze large multimodal physiological datasets. This work is being carried out in collaboration with clinicians from the Brigham and Women's Hospital, Children's Hospital Boston, Massachusetts General Hospital and the New England Medical Center.

I also share an active interest in low-cost systems for healthcare in developing regions, and work with a small group of students and faculty at MIT and Boston University to design technologies for rural communities.

Journal Papers

• Learning approximate sequential patterns for classification

Zeeshan Syed, Piotr Indyk, John Guttag

Journal of Machine Learning Research, to appear

 

• Motif discovery in physiological datasets: A methodology for inferring predictive elements

Zeeshan Syed, Collin Stultz, Manolis Kellis, Piotr Indyk, John Guttag

ACM Transactions on Knowledge Discovery in Data, to appear

 

• Spectral energy of ECG morphologic differences to predict death

Zeeshan Syed, Phil Sung, Benjamin Scirica, David Morrow, Collin Stultz, John Guttag

Cardiovascular Engineering, to appear

 

• Relation of Death Within 90 Days of Non-ST-Elevation Acute Coronary Syndromes to Variability in Electrocardiographic Morphology

Zeeshan Syed, Benjamin Scirica, Satishkumar Mohanavelu, Phil Sung, Christopher Cannon, Peter Stone, Collin Stultz, John Guttag

American Journal of Cardiology, Vol. 103(3), 2009

 

• A Comparison of Subjective and Mathematical Estimations of Fetal Heart Rate Variability

Adam Wolfberg, David DeRosier, Trevor Roberts, Zeeshan Syed, Gari Clifford, David Acker, Adre DuPlessis

Journal of Maternal-Fetal and Neonatal Medicine, Vol. 21(2), 2008

 

• Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-term Data with Limited Prior Knowledge

Zeeshan Syed, John Guttag, Collin Stultz

EURASIP Journal on Advances in Signal Processing, Vol. 2007, Article ID 67938, 2007

 

• A Framework for the Analysis of Acoustical Cardiac Signals

  Zeeshan Syed, Daniel Leeds, Dorothy Curtis, Francesca Nesta, Robert A. Levine, John Guttag

  IEEE Transactions on Biomedical Engineering, Vol. 54 (4), 2007

Conferences

• Electrocardiographic prediction of arrhythmias

  Zeeshan Syed, Benjamin Scirica, Collin Stultz, John Guttag

  Computers in Cardiology, Park City, UT, September 2009

• Quantifying morphology changes in time-series data

  Phil Sung, Zeeshan Syed, John Guttag

  IEEE ICASSP, Taipei, Taiwan, April 2009

• ECG Markers to Predict Cardiovascular Death: Heart Rate Variability, Deceleration Capacity and Morphologic Variability in Non-ST-Elevation ACS from the MERLIN-TIMI 36 Trial

  Zeeshan Syed, Benjamin Scirica, David Morrow, Satishkumar Mohanavelu, Collin Stultz, John Guttag

  American Heart Association Scientific Sessions, New Orleans, LA, November 2008

• Risk-Stratification following Acute Coronary Syndromes Using a Novel Electrocardiographic Technique to Measure Variability in Morphology

  Zeeshan Syed, Benjamin Scirica, Collin Stultz, John Guttag

  Computers in Cardiology, Bologna, Italy, September 2008

• Comparing Symbolic Representations of Cardiac Activity to Identify Patient Populations with Similar Risk Profiles

  Zeeshan Syed, Benjamin Scirica, Collin Stultz, John Guttag

  Computers in Cardiology, Bologna, Italy, September 2008

• Morphological Variability: A New Electrocardiographic Technique for Risk Stratification After NSTEACS

  Zeeshan Syed, Collin Stultz, Benjamin Scirica, Christopher Cannon, Khaled Attia, Irina Stebletsova, Satishkumar Mohanavelu, Peter Stone, John Guttag

  American Heart Association Scientific Sessions, Orlando, FL, November 2007

• Entropy of Fetal EKG Associated with Intrapartum Fever

  Adam Wolfberg, Zeeshan Syed, Gari Clifford, Alice Tin, John Guttag, Adre DuPlessis

  New England Conference on Perinatal Research, Chatham, MA, October 2007

• Prototypical Biological Signals

  Zeeshan Syed, John Guttag

  IEEE ICASSP, Honolulu, HI, April 2007

   

• Software Enhanced Learning of Cardiac Auscultation

  Zeeshan Syed, Dorothy Curtis, Francesca Nesta, Robert A. Levine, John Guttag

  IEEE EMBC, New York, NY, September 2006

   

• Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders

  Zeeshan Syed, Daniel Leeds, Dorothy Curtis, Francesca Nesta, Robert A. Levine, John Guttag

  IEEE CBMS, Salt Lake City, UT, June 2006

Honors and Awards

Finalist for the Rosanna Degani Young Investigator Award (2008)

Research featured in Technology Review TR10: Top 10 Technologies of the Year (2007)

Harvard-MIT Health Sciences and Technology Fellowship (2006 - 2008)

MIT William A. Martin Thesis Award (2003)

MIT Morris J. Levin Masterworks Thesis Presentation Award (2003)

Global Indus Technovators Award (2003)

Inducted member of Sigma Xi, The Scientific Research Society of North America (2003)

Inducted member of Tau Beta Pi, The National Engineering Honor Society (2002)

Inducted member of Eta Kappa Nu, The National Honor Society for Electrical Engineering and Computer Science (2002)

Ranked among the top five students at MIT in:

    Computational Biology (2005)

    Optimization Methods (2003)

    Algorithms and Data Structures (2001)

    Artificial Intelligence (2001)

    Circuits and Electronics (2000)

    Signals and Systems (2000)

    Computation Structures (2000)

    Probabilistic Systems Analysis (2000)

email: zhs, domain: mit.edu