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Practical matters How to find us S. (Saad) Saleh, MSc

S. (Saad) Saleh, MSc

PhD Employee

Education

Study Degree Specialization Duration
Masters Masters of Science in Electrical Engineering Computer Networks Two Years
Bachelors Bachelors of Science in Electrical Engineering Communications and Networks Four Years

Research Interests

Networking; Security & Privacy; Software Defined Networks; Network Analysis; Machine Learning; Algorithms; Computing; Computer Networks; IPTV, VoIP and Multimedia; Social Networks; Mobile Adhoc Networks; Wireless networks.

Collaborative Experience

Collaborative experience comprises of research papers published in co-authorship of researchers working at reputed institutions. A summary of organizations/institutions along with the investigated problem is described in following lines.

Michigan State University | East Lansing, USA

  • Developed new measures for security and privacy in Instant Messaging networks, in collaboration with Yahoo! Labs, USA.
  • Developed novel techniques in machine learning for prediction of authors collaborations in IEEE and ACM conferences using 10 years of past data.

[Presented Research at Computer Engineering and Networks Lab at ETH-Zurich, Switzerland]

Ecole Polytechnique Federale de Lausanne (EPFL) | Lausanne, Switzerland

Proposed and designed a sentiment classification system for microblog messages on Twitter for any search activity.

Rutgers University | New Jersey, USA

Studied political unrest during Arab Spring and proposed a system for gauging the political situation based on the user messages on social media including Twitter.

Tufts University | Medford, USA & City University London, UK

Proposed a secure key generation mechanism at physical layer level for wireless devices.

Gwangju Institute of Science and Technology |Gwangju, South Korea & King Abdulaziz University | Jeddah, KSA

Performed measurement and analysis research on Software defined networks for efficient delivery of internet packets.

Microsoft Research (MSR) | Cambridge, UK

Lead a $40,000 project for the identification of pot holes and speed bumps using only the data from installed applications on Android and iOS devices.

[Ranked among Top 12.2% projects in United Nations CleanTech program, 06/2015]

Sungkyunkwan University (SKKU) | Suwon, Republic of Korea

Proposed and implemented a vehicular network coverage algorithm for efficient and timely delivery of packets with optimal number of road side units. 

Honours and Awards

Awards

Awarded Engineering Distinguished Scholar (EDS) Award from Michigan State University, USA.

 

Awarded 5 Journal Paper Awards for publication of Journal papers at reputed venues.

 

Awarded 8 Conference Travel Grants for publishing research papers at reputted venues.

 

Performed research with reputed researchers at MSU, EPFL, RU, UIowa, GIST, and TUFTS.

 

Secured 1st Position in Masters in Communications and Computer Networks group.

 

Secured 37th Merit Position in Bachelors Entrance Exam out of 26000+ students.

Secured 8th position in Higher Secondary School Certificate Examout of 40,000+ students.
Secured 7th position in Secondary School Certificate Exam out of 45,000+ students.
Scholarships

Obtained 2-Year Award of Excellence in Masters of Engineering by Fauji Foundation, 2011-2013

 

Obtained 4-Year Award of Excellence in Bachelors of Engineering by Fauji Foundation, 2007-2011.

 

Awarded 5 GPA based Scholarships in five semesters, awarded to TOP GPA Holders.

 

Awarded Bachelors Entrance Scholarship for securing 37th Position among 26,000+ students at Bachelors level.

 

Awarded 4-Year FBISE Merit Scholarship at HSSC Level, awarded to TOP 25 among 40,000+ students.

 

Awarded 2-Year FBISE Merit Scholarship at SSC Level, awarded to TOP 25 among 45,000+ students.

Selected Trainings

Institution Training

ETH-Zurich

Research, “Deanonymization of Instant Messaging Networks”.

UNIDO

Training, “Business training for Global Cleantech Innovation Program”.

USAID

Training, “NetMap Tool - Social Network Analysis Workshop”.

TU Kaiserslautern

Training, “Fifth Workshop on Field & Assistive Robotics (WFAR-5)”.

UNC-Charlette

Training, “Next-Gen Broadband Networks and Enabling Technologies”, HONET.

Last modified:25 June 2022 11.58 a.m.