Summary

Research Interests: Deep Learning, Game Theory, Speech Recognition, Network Security, and Optimization.

Address

208 Airport Road, Mailbox #13, West Lafayette, IN 47906

Email

abdalla0@purdue.edu

Phone

(765)-409-7826

Personal Website

http://web.ics.purdue.edu/~abdalla0/

Education

Purdue University, West Lafayette, IN

2017 - 2020

PhD in Electrical Engineering under the supervision of Professor Saurabh Bagchi. Current GPA: 4.0. Courses: Fault Tolerant Computer Systems (A), Lumped System Theory (A+), Optimization Methods ForSystems And Control (A).

Cairo University, Egypt

2007 - 2016

M.Sc. in Engineering Mathematics, GPA: 3.9 B.Sc. in Electrical Engineering, GPA: 87.60/100, Distinction with honors, rank: 12/320

Relevant Experience

Research Assistant

School of Electrical and Computer Engineering, Purdue University. –Develop a behavioral security game model for studying security of Cyber Physical Systems.–Develop algorithm for automatic tuning of genomic error correction tools using Recurrent Neural Network. 2017−Present

Part-time Engineer

Engineering Company for the Development of Digital Systems (RDI), Egypt. –Applied deep learning techniques to enhance the performance of Arabic-based Speech Recognition applications.–Developed Speaker-Clustering algorithm in Multi-Genre Broadcast (MGB) challenge. 2012−2017

Research Assistan

Engineering Mathematics and Physics Department, Cairo University. –Proposed automatic transcribing of unlabeled speech data using confidence measures. 2012−2017

Publications

M. Abdallah, P. Naghizadeh, A. Hota, T. Cason, S. Bagchi, and S. Sundaram,“The Impacts of Behavioral Prob-ability Weighting on Security Investments in Interdependent Systems,” American Control Conference (ACC), 2019(to appear).

M. Abdallah, A. Mahgoub, S. Bagchi, and S. Chaterji,“Athena: Automated Tuning of Genomic Error CorrectionAlgorithms using Language Models,” arXiv preprint arXiv:1812.11467, December 2018.

M. Al-Marri, H. Raafat,M. Abdallah, S. Abdou, and M. Rashwan,“Computer Aided Quran Pronunciation usingDNN,” Journal of Intelligent & Fuzzy Systems, vol. 34, 3257-3271, 2018.

H. Ahmed, M. Elaraby, A. Moussa,M. Abdallah, and M. Rashwan “Unsupervised Speaker Clustering basedon SOM and I-vectors for Speech Recognition Systems,” Third Arabic NLP Workshop, European Chapter of theAssociation for Computational Linguistics (EACL), Valencia, 2017.

M. Abdallah, A. Moussa, S. Abdou and M. Rashwan, “Automatic Selection of Speech Data based on ConfidenceMeasure,” Special Session on Arabic Language Technology, IEEE International Conference on Communication andInformation Technology Conference, Poland, 2017, IEEE Proceedings.

M. Elaraby,M. Abdallah, S. Abdou, and M. Rashwan, “A Deep Neural Networks (DNN) Based models for aComputer Aided Pronunciation Learning System,” International Conference on Speech and Computer (SPECOM),Budapest, 2016, Springer Proceedings.

Skills

  • Technical Skills

    Python

    C++

    MATLAB

    MongoDB

    Java Script

    HTML

    Kaldi

    TensorFlow

    LaTex

    LaTex

Honors and Awards

ECE PhD fellowship and Best Fresher in DCSL Research Group, Purdue University - 2017.

Best Computer Engineering Graduation Project of the year 2012, Smart Village, Egypt - 2012.

MSc felloship, Faculty of Engineering, Cairo University - 2012−2016.

BSc fellowship, Faculty of Engineering, Cairo University - 2007−2012.

Leadership Experience

President; Egyptian Student Association at Purdue - May. 2018−Present.

Teaching Assistant; Engineering Math and Physics Dept., Cairo University - Fall 2012−Spring 2017

Student academic member in IEEE Cairo University Student Branch (IEEE-CUSB) - Fall 2011−Spring 2012

Teaching Experience

Teaching Assistant; Engineering Math and Physics Dept, Cairo University - Fall 2012−Spring 2017

Courses

Linear Algebra, Calculus, Probability and Statistics and Numerical Analysis