Moustafa Farid Alzantot

Moustafa F. Alzantot

I am a Ph.D. Candidate in Computer Science Department at the University of California, Los Angeles (UCLA). I am working with Prof. Mani Srivsatava as a member of the Networked and Embedded Systems Laboratory (NESL). I am also a team member of the DAIS-ITA project, and I was a research intern at Qualcomm Research (2015), and software engineering intern at Google (2016).

Prior to joining UCLA, I worked as a research assistant in Wireless Research Center (WRC) at Egypt Japan University of Science and Technology (E-JUST) under supervision of Dr. Moustafa Youssef from Sep. 2010 till Nov. 2013. I also worked as a teaching assistant at the Computer Engineering Department at Tanta University. In summer 2013, I was a research intern at Bell-Labs under supervision of Dr. Fahim Kawsar. In summer 2011, I worked as an intern at Google. I recieved my Bachelors from the Computer Engineering and Automatic Control Department at Tanta University in 2008.

Latest news:

August 2018 Our paper on adversarial attacks against NLP machine learning models has been accepted in EMNLP 2018.
August 2018 I am honored to be invited for giving a talk in DEFCON 2018. The talk title is "Practical adversarial attacks against challenging models environments." Slides Talk
June 2018 I joined Facebook as a Machine Learning Summer Intern.
Nov 2017 I have passed the Ph.D. Oral Qualifications Exam :)
Nov. 2017 Our paper "Did you hear that? Adversarial Examples Against Automatic Speech Recognition" got accepted in NIPS 2017 Machine Deception workshop.
Oct. 2017 Our UCNesl team achieved the 6th place in NIPS Adversarial Machine Learning Comeptition
Sep. 2017 I have been invited to present a talk during the Deep Learning workshop held as part of the DAIS ITA annual meeting in London
May. 2017 We are releasing the code of our RSTensorFlow project as open-source (Project link)
May. 2017 Our paper RSTensorFlow has been accepted at EMDL 2017 (co-located with MobiSys)
May. 2017 Our paper "Deep Learning for Situational Understanding" has been accepted at IEEE FUSION 2017
May. 2017 Our paper "Distributed Opportunistic Sensing and Fusion for Traffic Congestion Detection" has been accepted at DAIS-2017
May. 2017 Our paper "Interpretability of Deep Learning Models: A Survey of Results" has been accepted at DAIS-2017
Jan. 2017 Our paper SenseGen has been accepted at IEEE BICA (co-located with PerCom) 2017
Jan. 2017 Our paper SeleCon has been accepted at IoTDI 2017.
Oct. 2016 Our paper CryptoImg has been accepted at IEEE SPC (co-located with IEEE CNS) 2016.
June 2016 I spent Summer 2016 as a Summer Ph.D. engineering intern at Google working with the Android location team.
Dec. 2015 I have passed the PhD Written Qualification Exam (WQE).
Our paper SemanticSLAM has been accepted in IEEE Transaction of Mobile Computing, 2015.
June 2015 : I am spending the summer as a research intern at Qualcomm Research !

Research:

Patents

Unsupervised Indoor Localization and Heading Direction Estimation.
R. R. Choudhury, H. Wang, N. Roy, S. Sen, Moustafa Youssef, A. Elgohary, and Moustafa Farid .
Patent Application No: 2013/ 069178, USA.

Research Papers:

SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
Moustafa Alzantot , Supriyo Chakraborty, Mani B. Srivastava
IEEE BICA'17 (co-located with IEEE Percom 2017).

SeleCon: Scalable IoT Device Selection and Control Using Hand Gestures
Amr Alanwar, Moustafa Alzantot , Bo-Jhang Ho, Paul Martin, Mani Srivastava
IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI 2017).

CryptoImg: Privacy Preserving Processing Over Encrypted Images
M Tarek Ibn Ziad, Amr Alanwar, Moustafa Alzantot , Mani Srivastava
IEEE Security and Privacy in the Cloud (SPC) 2016 (co-located with IEEE CNS 2016)

CrowdInside: Automatic Construction of Indoor Floorplans.
Moustafa Alzantot , Moustafa Youssef,
ACM SIGSPATIAL GIS 2012 ( Acceptance Rate 15.4% ).

No Need to War-Drive: Unsupervised Indoor Localization.
H. Wang, S. Sen, Ahmed Elgohary, Moustafa Farid, Moustafa Youssef, Romit R. Choudhury
ACM MobiSys 2012 ( Acceptance Rate 17% ).

UPTIME: Ubiquitous Pedestrian Tracking using Mobile Phones.
Moustafa Alzantot , Moustafa Youssef,
IEEE WCNC 2012.

Posters and Demos

[Demo] Demonstrating CrowdInside : A System for the Automatic Construction of Indoor Floor-plans.
Moustafa Alzantot , Moustafa Youssef,
IEEE PerCom 2013.

[Poster] IPS: Ubiquitous Indoor Positioning System.
Moustafa Alzantot, Reem elkholy, Amal Lotfy, Moustafa Youssef.
MobiQuitous 2011.

[Demo] Classroom7: Please Make Sure Your Phones are Switched On!.
Moustafa Alzantot, Muhammed Hataba, Moustafa Youssef.
MobiQuitous 2011.

Honors and Experience:

Honors

Recipient of the UCLA Graduate Division Award, 2016-2017.
Listed in the Marquis Who's Who in the World (32nd Edition), 2015.
UCLA Graduate Division Award, Fall 2014.
Common Marked of Eastern and Southern Africa (COMESA) 2013 innovation award.
Invited for Microsoft Research Cambridge PhD Summer School 2013
Microsoft Research (Project Hawaii) best mobile computing project award in E-JUST, Spring 2011
Distinction award with the degree of honor for graduation from the department of Computer Engineering, Tanta University, July 2008.
Bronze medal in the nation-wide programming contest held as part of annual week of Egyptian universities, March 2007.

Work Experience

Oct. 2014-Present: Gradaute Student Researcher, UCLA.
Summer 2016: Software Engineering Intern, Google.
Summer 2015: Research Intern, Qualcomm Research.
March 2014-Sep 2014: Software Consultant, Thirdwayv Inc.
May 2013 - Sep 2013: Research Intern, Alcatel Lucent Bell-Labs.
August 2011- Nov 2011: Software Engineer Intern, Google.
Sep. 2010 - Nov. 2013: Research Assistant, Egypt-Japan University of Science and Technology.
March 2009-Sep. 2010: Teaching Assistant, Tanta University.

Contact me:

Email: malzantot@ucla.edu
Phone: +1 (310) 948 - 6252
Office : 1762 Boelter Hall, Los Angeles, CA 90095.

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