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About

Omar Shaya is the founder of MultiOn, an AI company that develops autonomous agents.…

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Experience & Education

  • MultiOn

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Publications

  • Using Agile Methods in Automotive Software Engineering

    The automotive industry is extremely competitive. Brands and manufacturers battle relentlessly to win consumers’ hearts and, perhaps even more importantly, their money. In the last few years, a new threat to the industry has intensified that battle. High-tech companies accustomed to developing software and internet services are now entering the territory traditionally occupied by automotive companies. Such companies include Apple, who have been reported to be building an electric car and…

    The automotive industry is extremely competitive. Brands and manufacturers battle relentlessly to win consumers’ hearts and, perhaps even more importantly, their money. In the last few years, a new threat to the industry has intensified that battle. High-tech companies accustomed to developing software and internet services are now entering the territory traditionally occupied by automotive companies. Such companies include Apple, who have been reported to be building an electric car and Google, whose experiments with self-driving cars have been the subject of many recent news articles (Gao et al. 2016). But the threat isn't just from the high-tech sector. Automotive companies founded within the last decade such as Tesla Motors distinguish themselves through their superior software expertise, catering to a new generation of digital natives (Gao et al. 2016). So-called Millennials are now the largest generation, and they have the purchasing power to show for it (Sachs 2016). If traditional automotive companies do not act on new trends and the high expectations of Millennials, more cutting-edge, digital-first companies are likely to leave the traditionalists in the dust.

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  • Status Reporting in Software Projects

    Georg-August-Universität Göttingen

    Accurate status reporting is crucial to the success of IT and IS projects. Indeed, many major projects fail because employees are reluctant or selective in their reporting of bad news. As an investigation into the reasons behind this reluctance and/or bias in reporting, this paper concludes with a series of recommendations on ensuring effective and timely project updates. Due to the diversity of the modern IT world, we consider the ethical and cultural differences that lie behind what and how…

    Accurate status reporting is crucial to the success of IT and IS projects. Indeed, many major projects fail because employees are reluctant or selective in their reporting of bad news. As an investigation into the reasons behind this reluctance and/or bias in reporting, this paper concludes with a series of recommendations on ensuring effective and timely project updates. Due to the diversity of the modern IT world, we consider the ethical and cultural differences that lie behind what and how employees report. With the ever-expanding presence of women in the IT workforce, we turn our attention to gender differences in status reporting. Due to a lack of research into this specific area, we suggest research hypotheses based on gender difference studies from related fields. Furthermore, we propose a gender-power analysis matrix that could form the basis of such research. We employ these findings, taken from ethical, cultural, and gender research, to make a series of personnel, managerial, and organizational recommendations to improve the quality of status reporting. Finally, we argue that social networks and mobile technology would be effective tools in facilitating the fast, open, and effective communication needed to ensure IT project success.

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  • Using Machine Learning in Networks Intrusion Detection

    Georg-August-Universität Göttingen

    Machine learning is one of the big topics today in computer science. It has been applied in many fields from recommendation engines in e-commerce websites to driving systems in self driving cars. Machine learning has been also applied in computer networking. One of the most important applications of machine learning in computer networking is the detection of attacks in networks or intrusion detection. Attacks on computer networks have increased year over year. The use of internet and other…

    Machine learning is one of the big topics today in computer science. It has been applied in many fields from recommendation engines in e-commerce websites to driving systems in self driving cars. Machine learning has been also applied in computer networking. One of the most important applications of machine learning in computer networking is the detection of attacks in networks or intrusion detection. Attacks on computer networks have increased year over year. The use of internet and other computer networks has been only increasing due to many reasons like the wide spread of wireless networks and the increasing dependency on cloud computing by many businesses and individuals. Therefore, the internet and different computing devices from desktop computers to smartphones have raised many security and privacy concerns, and the need to automate systems that detect attacks on these networks has emerged in order to be able to protect these networks with scale. And while traditional intrusion detection methods may be able to detect previously known attacks, the issue of dealing with new unknown attacks arises and that brings machine learning as a strong candidate to solve these challenges.

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  • Web Analytics

    Georg-August-Universität Göttingen

    In this report, we will cover the topic of Web Analytics. A huge number of businesses around the world has a Web presence and some of them conduct all or the majority of their business transactions online. That created the need to have tracking procedures in place to report and measure the different activities that are happening on the web, like user behavior on a particular website, the influence of new features on a website, the effect of a marketing campaign on website traffic, and many more…

    In this report, we will cover the topic of Web Analytics. A huge number of businesses around the world has a Web presence and some of them conduct all or the majority of their business transactions online. That created the need to have tracking procedures in place to report and measure the different activities that are happening on the web, like user behavior on a particular website, the influence of new features on a website, the effect of a marketing campaign on website traffic, and many more like monitoring the website traffic for any anomalies or attacks.

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Patents

Projects

  • Movies Island

    A movie recommendations engine that helped users find movies they would like based on their watch history and other data points collected using gamification techniques.

Honors & Awards

  • Erasmus Mundus Scholar

    The European Union

Languages

  • English

    Native or bilingual proficiency

  • Arabic

    Native or bilingual proficiency

  • German

    Limited working proficiency

  • Spanish

    Elementary proficiency

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