About:
I am new Assitant Professor in the ECE Department at UIUC. I
will be starting there sometime in the Spring of 2016. My
research is in the area of computer networks and algorithms.
In particular, I am interested in building new and faster
wireless networks and communication systems. I am also
interested in sparse recovery algorithms and their
applications to networks and communications.
Before coming to UIUC, I received my PhD in Electrical Engineering and Computer
Science from MIT where I was advised by Professor Dina Katabi. My PhD thesis
titled: "The Sparse Fourier Transform: Theory & Practice" developed the
theoretical foundations for Sparse Fourier Transform algorithms which compute
the Fourier transform in sublinear time faster than FFT. It also demonstrated
the applications of the Sparse Fourier Transform in the areas of wireless
networks, mobile systems, graphics, medical imaging and biochemistry. The
Sparse Fourier Transform was named by Technology Review as one of the top ten
breakthrough technologies.
Papers:

Securing RFIDs by Randomizing the Modulation and Channel,
Haitham Hassanieh, Jue Wang, Dina Katabi, and Tadayoshi Kohno
NSDI'15, USENIX Symposium on Networked Systems Design and Implementation, May 2015
[PAPER]
[SLIDES]

Fast Multidimensional NMR Acquisition and Processing Using the Sparse FFT,
Haitham Hassanieh, Maxim Mayzel, Lixin Shi, Dina Katabi, and Vladislav Yu Orekhov
Journal of Biomolecular NMR, Springer, 2015
[PAPER]

Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain
Lixin Shi, Haitham Hassanieh, Abe Davis, Dina Katabi and Fredo Durand
SIGGRAPH'15, ACM Transactions on Graphics Volume: 34, No: 1, November 2014
[PAPER]
[WEBSITE]

HighThroughput Implementation of a MillionPoint Sparse Fourier Transform
Abhinav Agarwal, Haitham Hassanieh, Omid Abari, Ezz Hamed, Dina Katabi, and Arvind
FPL'14, International Conference on Field Programmable Logic and Applications, Munich Germany, September 2014
[PAPER]

DBigBand: Sensing GHzWide NonSparse Spectrum on Commodity Radios
Lixin Shi, Haitham Hassanieh and Dina Katabi
MOBICOM'14 S3, 6th Annual Workshop on Wireless of the Students, by the Students, for the Students, September 2014

GHzWide Sensing and Decoding Using the Sparse Fourier Transform
Haitham Hassanieh, Lixin Shi, Omid Abari, Ezzeldin Hamed, Dina Katabi
INFOCOM'14, IEEE International Conference on Computer Communications, Toronto Canada, April 2014
[PAPER]
[SLIDES]

Correlation Chemical Shift Imaging with SparseFFT and Realtime Motion and Shim Correction,
Ovidiu Andronesi, Lixin Shi, Haitham Hassanieh, Wolfgang Bogner, Borjan Gagoski, Aaron Hess, Dylan Tisdall, Andre van der Kouwe, Dina Katabi, and Elfar Adalsteinsson.
ENC’14, 55th Experimental Nuclear Magnetic Resonance Conference, Boston USA,March 2014
[PAPER]
[POSTER]

A 0.75 MillionPoint Fourier Transform Chip for FrequencySparse Signals
Omid Abari, Ezz Hamed, Haitham Hassanieh, Abhinav Agarwal, Dina Katabi, Anantha Chandrakasan, and Vladimir Stojanovic.
ISSCC’14, International SolidState Circuits Conference, San Francisco USA, February 2014
[PAPER]
[SLIDES]

SampleOptimal AverageCase Sparse Fourier Transform in Two Dimensions
Badih Ghazi, Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price, Lixin Shi
Allerton'13, 51st Annual Allerton Conference on Communication, Control, and Computing, October 2013
[PAPER]
[EXTENDED PAPER]
[SLIDES]
[ARXIV]

MRS SparseFFT: Reducing Acquisition Time and Artifacts for In Vivo 2D Correlation Spectroscopy
Lixin Shi, Ovidiu Andronesi, Haitham Hassanieh, Badih Ghazi, Dina Katabi, and Elfar Adalsteinsson
ISMRM'13, International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition , Salt Lake City USA, April 2013
[PAPER]
[POSTER]

Shift Finding in Sublinear Time
Alexander Andoni, Haitham Hassanieh, Piotr Indyk, and Dina Katabi.
SODA'13, ACMSIAM Symposium on Discrete Algorithms, New Orleans USA, January 2013
[PAPER]
[SLIDES]

Faster GPS Via the Sparse Fourier Transform
Haitham Hassanieh, Fadel Adib, Dina Katabi, and Piotr Indyk.
MOBICOM'12, ACM International Conference on Mobile Computing and Networking , Istanbul Turkey, August 2012
[PAPER]
[SLIDES]

Efficient and Reliable LowPower Backscatter Networks
Jue Wang, Haitham Hassanieh, Dina Katabi, and Piotr Indyk.
SIGCOMM'12, ACM Special Interest Group on Data Communication, Helsinki Finland, August 2012
[PAPER]
[SLIDES]
[POSTER]

Nearly Optimal Sparse Fourier Transform
Haitham Hassanieh, Piotr Indyk, Dina Katabi, and Eric Price.
STOC'12, ACM Symposium on Theory of Computing, New York USA, May 2012.
[PAPER]
[SLIDES]
[ARXIV]
[WEBSITE]

Simple and Practical Algorithm for Sparse Fourier Transform
Haitham Hassanieh, Piotr Indyk, Dina Katabi, and Eric Price.
SODA'12, ACMSIAM Symposium on Discrete Algorithms, Kyoto Japan, January 2012
[PAPER]
[SLIDES]
[CODE]
[WEBSITE]

They Can Hear Your Heartbeats: NonInvasive Security for Implanted Medical Devices
Shyamnath Gollakota, Haitham Hassanieh, Ben Ransford, Dina Katabi and Kevin Fu.
SIGCOMM'11, ACM Special Interest Group on Data Communication, Toronto Canada, August 2011
[PAPER]
[SLIDES]
[POSTER]
[WEBSITE]
BEST PAPER AWARD

SourceSync: A Distributed Wireless Architecture for Exploiting Sender Diversity
Hariharan Rahul, Haitham Hassanieh, and Dina Katabi.
SIGCOMM'10, ACM Special Interest Group on Data Communication, Delhi India, September 2010
[PAPER]
[SLIDES]

A Novel Solution to the Energy Hole Problem in Sensor Networks
Mohamad Watfa, Haitham Al Hassaneih, and Samir Selman
Journal of Network and Computer Applications, Volume: 36, No: 2, Page(s): 949958, 2013

MultiHop Wireless Energy Transfer in WSNs
Mohamad Watfa, Samir Selman, and Haitham Al Hassaneih
IEEE Communication Letters, Volume: 15, No: 12, Page(s): 12751277, 2011

Extended Minimum Classification Error Training in Voice Activity Detection
Takayuki Arakawa, Haitham AlHassanieh, Masanori Tsujikawa, and Ryosuke Isotani
ASRU'09, IEEE Workshop on Automatic Speech Recognition and Understanding, Merano Italy, December 2009

Stereosight: A Package for Viewing and Creating Stereogram Images
Haitham AlHassanieh, Amer Chamseddine, and Hassane Slaibi
FEASC'09, 8th FEA Student Conference at AUB, Beirut Lebanon,May 2009
Best Undergraduate Paper Award

The Road to Immortal Sensor Nodes
Mohamad Watfa, Haitham Hassanieh, and Samir Selman
ISSNIP'08, IEEE Int. Conf. on Intelligent Sensors, Sensor Networks and Info. Processing, Sydney Autralia, December 2008
Thesis:

Encryption on the Air: NonInvasive Security for Implantable Medical Devices.
Haitham Hassanieh.
Masters Thesis, EECS MIT, June 2011.
[THESIS]
Technical Reports:
Projects:
The Sparse Fourier Transform: Theory


For signals of length n that are (approximately) ksparse in the frequency domain i.e.,
can be approximated by k nonzero frequency coefficients, the sparse Fourier transform computes
the Fourier transform in sublinear time; faster than FFT and using less input samples.
Running Time: For exactly sparse signals, I gave an algorithm with runtime $O(k\; log\; n)$,
which is essentially optimal. For approximately sparse signals, I gave a an algorithm with a runtime of $O(k\; log\; n\; log\; (n/k))$.
Both algorithms improve over FFT for any sparsity $k\; <\; o(n)$ and are often faster than FFT in practice.
Sampling Complexity: I gave algorithms with the optimal sampling complexity in the average case. The algorithms require
only $O(k)$ samples for exactly sparse and $O(k\; log\; n)$ samples for approximately sparse signals while keeping
the same runtime complexity above.
Webpage: http://netmit.csail.mit.edu/sFFT/
Papers: [SODA'12], [STOC'12], [Allerton'13]

The Sparse Fourier Transform: Applications

 GHzWide Spectrum Acquisition in Realtime:


I demonstrated a working
receiver that can acquire a wireless signal whose digital bandwidth is 6x larger than
the receiver’s sampling rate. The new receiver enables realtime GHz spectrum
sensing using cheap components (lowspeed ADCs) typically used in WiFi receivers..
Paper: [INFOCOM'14]

 Faster and Lower Power GPS:


GPS receivers typically have to perform tens of millions of operations to lock onto a each GPS
satellite which quickly drain the smartphone's battery. I designed and implemented a
system that reduces the time and power it takes a GPS receiver to lock on its location.
Paper: [MOBICOM'12]

 Light Field Photography with Fewer Cameras:


Lightfield photography can refocus an image, extract its depth, or change its viewpoint in postprocessing.
I designed a light field reconstruction based on the sparse FFT that reduces sampling requirements and improves
reconstruction quality.
Webpage: http://netmit.csail.mit.edu/LFSparseRecon/
Paper: [SIGGRAPH'14]

 Magnetic Resonance Imaging (MRI):


Magnetic resonance spectroscopy (MRS) detects the biochemical content of each voxel in the brain and can
be used to discover disease biomarkers. I demonstrated that processing MRS data using the sparse FFT algorithm
enhances image quality, and reduces the time the patient has to spend in the machine by 3x
Papers: [ISMRM'13], [ENC'14]

 Biomolecular Nuclear Magnetic Resonance (NMR):


NMR is a technique that provides the detailed structural properties of chemical compounds; providing the 3D
structure of complex proteins and nucleic acids. However, collecting NMR measurements is a very time consuming
and costly process. I demonstrated that the sparse FFT reduces experiment time by 16×; hence it enables highdimensional
NMR, which is needed for detecting more complex protein structures.
Paper: [J. Biomol. NMR'15]



The Square Kilometer Array (SKA) is a radio telescope spread over an area of one square kilometer
in order to provide the highest resolution images ever captured in astronomy. However, the amount
of incoming data will be too large to process with today’s computational power. I developed a method
for processing images of the sky 100× faster than FFT.

 The Sparse Fourier Transform Chip:


Developed a chip that delivers the largest Fourier Transform to date for sparse data (0.75 million point), while consuming 40× less power than prior FFT VLSI implementations.
Papers: [ISSCC'14], [FPL'14]

Wireless Networks

 Buzz: Efficient and Reliable RFID Communication:


RFIDs lack many of the basic
wireless functionalities such as carrier sense and rate adaptation.
This leads to collisions of the RFID transmissions and significant message loss.
To address these issues, I proposed viewing the network as a single virtual sender and treating collisions as rateless code
across the bits transmitted by the different RFIDs. This approach enabled me to design complex distributed rate
adaptation and medium access protocols that provide significant throughput gains and eliminate message loss.
Paper: [SIGCOMM'12]

 IMDShield: Securing Wireless Implantable Medical Devices:


Most medical implants today such as cardiac defibrillators and pacemakers are equipped with wireless connectivity
to allow continuous monitoring of patients. However, they lack any form of encryption or authentication.
This enables an adversary to modify a patient’s treatment or snoop on their vital signs. I designed and built IMDShield, a system that uses
an external wearable device equipped with a fullduplex radio to secure transmissions to and from the medical implant without any modifications
to the implant.
Webpage: http://netmit.csail.mit.edu/IMDShield/
Paper: [SIGCOMM'11] (Best Paper Award)

 SourceSync: Distributed Wireless Synchronization:


Building distributed protocols that improve the performance of the network typically requires individual wireless
nodes to be synchronized in time. I built SourceSync; a system that can synchronize the transmission of distributed wireless nodes up to tens of ns.
This enables different wireless nodes to act as a single node and forward packets at significantly higher data rates than they could have achieved separately.
Paper: [SIGCOMM'10]

 RFCloak: Securing Deployed RFID Cards:


RFIDs are widely used today in a variety of sensitive applications such as access control, passports, credit cards,
car keys, etc. Most of these deployed systems have been shown to be insecure allowing eavesdroppers to obtain
sensitive and confidential data. To address this, I designed and implemented RFCloak; a system that randomizes
the signal and the wireless channel, preventing an eavesdropper from decoding the RFIDs’ data. It does so simply
by modifying the RFID reader and hence provides a solution for billions of insecure RFIDs in customers’ hands worldwide.
Paper: [NSDI'15]

Pattern Matching Algorithms


For a code of length $m$ and a signal of length $n\; >>\; m$, the goal of pattern matching
is to find the best shift that minimizes the distance between the code and the signal.
I gave two sublinear time algorithms; the fastest of which has a runtime $O(n/\; m^0.359)$.
The algorithms also Work for large number of mismatched coordinates between the code and signal.
Papers: [SODA'13]

Code
Talks

Overview of Sparse Fourier Transform Applications
FOCS 2014 Workshop on The Sparse Fourier Transform: Theory and Applications, October 2014
[SLIDES]

GHzWide Sensing and Decoding Using the Sparse Fourier Transform
INFOCOM’14 Conference, April 2014
[SLIDES]

BigBand: Realtime GHz Spectrum Sensing & Decoding
MIT Center for Wireless Networks and Mobile Computing Annual Retreat, October 2013
[SLIDES]

Sample Optimal Sparse Fourier Transform in Two Dimensions
Allerton 2013 Conference, October 2013
[SLIDES]

GPS Synchronization via the Sparse Fourier Transform
Workshop on Sparse Fourier Transform, MIT, February 2013
[SLIDES]

Shift Finding in Sublinear Time
SODA’13 Conference, January 2013
[SLIDES]

Sparse FFT: Faster Than the Fast Fourier Transform
Allerton 2013 Conference, October 2012
[SLIDES]

Faster GPS Via the Sparse Fourier Transform
MOBICOM’12 Conference, August 2012
[SLIDES]

Faster Algorithms for Sparse Fourier Transform
EECE Complexity Seminar, AUB, July 2012
[SLIDES]

Simple and Practical Algorithm for the Sparse Fourier Transform
Invited Talk, UMass Dartmouth, April 2012
[SLIDES]
Collaborators
 Wireless Networks:
Prof. Dina Kabati (MIT),
Lixin Shi (MIT),
Jue Wang (MIT),
Fadel Adib (MIT),
Hariharn Rahul (MIT),
Shyam Gollakota (UW).
 Algorithms:
Prof. Piotr Indyk (MIT),
Prof. Eric Price (UT Austin),
Alex Andoni (MIT),
Ludwig Schmidt (MIT),
Badih Ghazi (MIT).
 Graphics:
Prof. Fredo Durand (MIT),
Abe Davis (MIT).
 Security:
Prof. Tadayoshi Kohno (UW),
Prof. Kevin Fu (University of Michigan),
Ben Ransford (UW).
 Circuits:
Prof. Anantha Chandrakasan (MIT),
Prof. Arvind (MIT),
Prof. Vladimir Stojanovic (UC Berkeley),
Ezzeldin Hamed (MIT),
Omid Abari (MIT),
Abhinav Agarwal (MIT).
 Medical Imaging:
Prof. Elfar Adalsteinsson (MIT, Harvard),
Dr. Ovidiu Andronesi (Harvard, MGH Hospital).
 Biochemistry:
Prof. Vladislav Orekhov (University of Gothenburg).
 Astronomy:
Prof. Anna Scaife (University of Southampton),
Chris Skipper (University of Southampton).
Service
Reviewer: I reviewed papers in the following venues.
SIGGRAPH Asia 2014 (external)
GLOBECOM 2014 (external)
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
IEEE/ACM Transactions on Networking
IEEE Transcations on Vehicular Technology
IEEE Journal on Selected Areas in Communications
IEEE Signal Processing Letters
Workshops: I assisted in running and moderating the panels in the following workshops.
Awards & Honors:

SciTech Best Graduate Student Award (2013)

TR10: Technology Review's 10 Breakthrough Technologies (2012)

SIGCOMM Conference Best Paper Award (2011)

8th FEASC Conference Best Paper Award (2009)

Rank #1 in Graduating Class of the Faculty of Engineering at AUB (2009)

American University of Beirut Dean’s Honor List (20052009)

Lebanese National Council for Scientific Research Scholarship (20052009)

Rank #1 in the Lebanese Baccalaureate National Examinations (2005)
Press:

Insight  U.S. government probes medical devices for possible cyber flaws
Reuters, Jim Finkle, October, 2014.


100 Top Stories of 2013: 34. Better Math Makes Faster Data Networks
Discover Magazine, Gilian Conahan, January, 2013.


10 Breakthrough Technologies: A Faster Fourier Transform
Technology Review, Mark Anderson, May, 2012.


A Faster Fast Fourier Transform
IEEE Spectrum, David Schneider, March, 2012


FasterThanFast Fourier Transform
Slashdot, January, 2012.


The FasterThanFast Fourier Transform (frontpage)
MIT News, Larry Hardesty, January, 2012.


Personal Security: A Wearable Jamming Technology Could Protect Patients with Implants from Potentially LifeThreatening Attacks.
Technology Review, Stephan Cass, August, 2011.


Protecting Pacemakers From Hackers.
Forbes, Alex Knapp, June, 2011.


Shielding Medical Implants from Cyberattacks
MSNBC, Mary Staub, June, 2011.


Researchers Shield Implants From Hackers With Wireless Charm of Protection.
EnGadget, Terrence O'Brien, June, 2011.


Wireless Jamming System Secures Electronic Medical Implants.
Network World, Layer 8, Michael Cooney, June, 2011.


Protecting Medical Implants From Attack.(frontpage)
MIT News, Larry Hardesty, June, 2011.

