Dr. Jie Wu, Associate Vice Provost, Chair and Laura H. Carnell Professor, IEEE Fellow, Temple University

Thursday February 23, 2017 (11:00 – 12:00)

Algorithmic Crowdsourcing and Applications in Big Data

Abstract: This talk gives a survey of crowdsourcing applications, with a focus on algorithmic solutions. The recent search for Malaysia flight 370 is used first as a motivational example. Fundamental issues in crowdsourcing, in particular, incentive mechanisms for paid crowdsourcing, and algorithms and theory for crowdsourced problem-solving, are then reviewed. Several applications of algorithmic crowdsourcing applications are discussed in detail, with a focus on big data. The talk also discusses several on-going projects on crowdsourcing at Temple University.

Dr. Wei Chang, Assistant Professor of Computer Science, SJU

Thursday November 3, 2016 (11:00 – 12:00)

The Sybil Attack and Its Prevention Techniques

Abstract: We are entering a distributed computing era, where various decisions are individually made at each entity based on the pervasive data from the other entities scattered all over the world. However, most distributed systems are vulnerable to Sybil attacks: by creating a large number of fake identities, an adversary can introduce a considerable amount of false opinions into a distributed system and subvert it. As a result, some entities may make unfair, or even false, decisions. For instance, in some distributed systems, critical resources are assigned based on voting results. If an adversary holds a considerable number of fake identities, he can easily change the overall decision, and unfairly gain more resources. It has been more than a decade since the first appearance of the Sybil attack. In this presentation, Dr. Chang will systematically show the evolution of the Sybil attack and its defense techniques.

Glenn Brunette, Oracle Corporation

Thursday October 20, 2016 (11:00 – 12:00)

The Internet of Things: The Gift of Fire Or a Modern Pandora’s Box?

Abstract: Technology has been woven into nearly every facet of our daily lives. With each passing year, the boundary between the physical world and cyberspace has continued to fade as everyday items have been infused with logic, power, and connectivity. Dubbed the “Internet of Things”, these devices have heralded a new age of innovation and capability, greatly expanding the “art of the possible”. Unfortunately, the capabilities enabled by these technologies are not always positive, expected, or welcome. In this presentation, the benefits and risks of the “Internet of Things” will be discussed. Specific examples will highlight technological challenges, as well as risks to security and privacy. Lastly, recommendations will be offered that illustrate ways in which we can learn from past mistakes.

Sonia Parikh, Starship Health Technologies, LLC, Plymouth Meeting, PA

Starship Health Technologies, LLC, is a research and development based company. Starship works on combining the universe of scientific technological and engineering methods to find solutions for overcoming the key challenges to improve accountability, coordination, communication, and mobility in health care. Starship works in the following areas: social/behavioral science research, supportive technology development, advanced learning technologies, and human-centered design and development.

During the summer of 2016, I worked in the field of mobile application development. I was responsible for creating iOS and android applications from scratch for the Diabetes Networking Tool (DNT). I used react native framework by Facebook for development of mobile applications. During my work, I utilized react concepts like JSX (JavaScript Syntax Extension), components, state and props. I coordinated with the medical research remote team at Johns Hopkins University. I got the chance to work on requirement analysis, planning, technical analysis, design, code, debug, and test mobile applications. I collaborated with a graphic designer on creating an innovative wireframe design solution.

Elham Jaffar (Saudi Aramco, Saudi Arabia)

I preformed my internship in the Saudi Aramco company in Saudi Arabia. My internship allowed me to work as an application developer full time for eight weeks in the Geospatial Information Technology Unit. During the eight weeks, I developed two different types of applications for use in an integrated system. First, I developed a GPS Navigation Map Online Request which is a web application that allows Aramco employees to request GPS Navigation Map Products online and get what they need as fast as possible. Second, I developed a GPS Navigation Map Tracking System, a Windows-based application, for the Data Management Group in GSD to execute customer requests in order and avoid customer complaints regarding waiting. In addition to these applications, I built one database for two systems to retrieve and track information requests from the web application by using the Windows application.

2016 UPE Induction Ceremony

2016 (President: Professor Mary Krueger)

Elham Jaffar (graduate)
Sarah Alqahtani (graduate)
Brendan Szefinski (undergraduate)
Shelley Donaldson (undergraduate)
Sean Monahan (undergraduate)
Karl Morris (undergraduate)
Sonia Parikh (graduate)
Diego Sosa (graduate)
Shengqi Gong (graduate)

Ather Sharif (Azavea, Philadelphia, PA)

As part of the Fall 2015 semester, I did an internship at Azavea, which is a local tech firm in Philadelphia focusing on Geographic Information Systems (GIS. During the course of my internship, I worked on testing Azavea’s products for accessibility, namely OpenTreeMap and Stormwater Tools. I was responsible for formally expressing my findings in a report and then implement the changes in the actual application using the GIT repository. I also learned mapping skills and developed a campus map for accessibility for SJU. Towards the end of my internship, I started my research on making maps accessible for screen reader users.

All in all, it was a great learning experience for me. I got to do things that I’m passionate about as well as learn new skills and explore new fields.

Lixia Zhao (SAP, Newtown Square, PA)

This was my first working experience in a corporate environment. During my three-month internship, I worked on a variety of projects. Almost all the projects were relevant to the SAP star product, SAP HANA platform, which is a memory data management platform. It is the fastest growing database in the relational database management systems (RDBMS) market.

The majority of my assignments involved creating documentation to present the packaged HANA solutions as well as implementing related SQL Scripts. The purpose of the documentations was to perform time and cost estimation, to outline the features and tools of the solutions, as well as to illustrate the graphic landscape of these solutions. These documentations will be shown to SAP potential customers. By the end of my internship, I completed 11 packaged solutions and customized four among the 11 solutions based on the requested from potential customers. These solutions cover wide range of aspects of HANA platform, such as HANA architecture, HANA data provisions, backup and security solution, solutions of fixing bugs in HANA, HANASQL Script, integration HANA with other SAP products, for instance ERP, its front-end tools, such as SAPUI5 or Fiori, SAP data analytical tools, or other outside products, such as oracle database. Other projects included monitoring North America HANA Enterprise Cloud(HEC) dashboard and creating weekly report, providing file synchronization solution for an internal wiki webpage, etc.

Jimson Mathew (Harmelin Media, Bala Cynwyd, PA)

During the summer of 2015, I interned at Harmelin Media, a media planning and buying company. I worked in the field of Data Science and helped analyze the relationship between weather and media attributes. In order to do the same, I applied statistical concepts such as t-test, covariance, and regression squared. These operations were carried out in R and Python. I was working with data that was considerable in magnitude. Due to this, I was cognizant of efficiency with every operation I executed on the dataset.

Having an internship allowed me to gain first-hand experience of the field of Big Data. Prior to the internship, my knowledge of the same was acquired primarily through newspaper articles and blog posts. It also allowed me to reflect about what field of Computer Science I would like to work in in the future. I would strongly recommend students to engage in summer internships.