Over the last ten years, I’ve been living, studying and working in 3 different countries (Argentina, Spain and Norway), where I have had the opportunity to get to know and interact with people from contrasting cultures. Along that time, I have managed to keep an active social life while being among the top students, managing multiple projects without loosing attention to detail. I consider that many of the skills I’ve developed during this time are transferable and highly valuable in any dynamic work environment.

I’ve always been proactive, highly motivated, and eager to face challenges. From an early age, I have been self-taught. At just 14 years old, I designed a complete website about the solar system and space programs because there were no complete websites in Spanish at that time. It has always been one of my hobbies. Three years later, I decided to move to a different state (over 700 miles away from my home, family and friends) to study Computer Science Engineering. It wasn’t easy at all, but the combination of hard work, determination and sound organizational skills led me to complete my studies earlier than expected, as first graduate of the class. In early 2007, I moved to Barcelona, where in four years I finished two masters degrees and the PhD in High-Performance Computing with the European Doctorate Mention (obtained after a 3-months research stay at the Simula Research Laboratory, Norway).

I gained valuable experience in engineering working as intern at the Web Engineering team of my University in Argentina, where I developed skills on web-based systems and user interfaces. The commitment of my team was noticed and we were soon commissioned the development of the University’s Learning Objects Repository. Additionally, we were selected to represent the University in several programming contest, including the ACM International Collegiate Programming Contest. This experience developed my ability to take responsibilities and work under pressure.

Teamwork and projects were a constant part of my education, not only in Argentina but also in Spain, where I worked on a multidisciplinary and multicultural team at the Universitat Autonoma de Barcelona. Our research group had students and professors from different faculties and 14 differ- ent countries, such as Australia, Vietnam, India, Germany, Poland, Spain, Brazil and Argentina, among others. Learning to deal with this cultural and academical diversity was an enriching experience.

Best regards,
Gonzalo Zarza

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A list of my publications can be found on my website:
https://truthfan.wordpress.com/

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You can post a link to your online resume here too.

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I am a sixth year Ph.D student at Carnegie Mellon University, in the Electrical & Computer Engineering department. I work in the Parallel Data Lab (PDL) and am advised by Professor Greg Ganger. My research interests span the field of computer systems, including file systems, with a focus on cloud computing.

My long term research goal involves building self-healing systems, which are capable of fixing problems automatically without human intervention. Such automation is necessary, given the rapidly increasing scale and complexity of modern clouds and datacenters.

As a first step, I have been researching techniques for helping developers diagnose complex performance problems in distributed services—for example, by automatically localizing the root cause of a problem from the myriad components in the system to just a few relevant interactions. My work on request-flow comparison, one particular technique, has been published in NSDI. Moving forward, I hope to use these techniques as a strong substrate on which to build tools that are capable of automatic corrective action. I hope to collaborate with researchers in machine learning, statistics, and HCI to take steps toward this larger goal.

[Website,
CV,
Research statement]

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Phone: (412) 983-1701

PhD Dissertation Research: My dissertation under the direction of Professor Christian Poellabauer is titled “Sensor Sharing in Mobile Ad-Hoc Networks”. This work is based on the motivation that today’s mobile devices (e.g., smartphones, tablets, etc.) present an advanced computing platform with rich sensing capabilities (e.g., user location, capturing audio/video, ambient light, pressure, acceleration, etc.). However, they operate in isolation for one another, i.e., they are not aware of the presence and sensor capabilities of other mobile devices in their proximity. On the other hand, there are numerous situations when proximity-awareness could benefit a mobile user, e.g., when it is lacking in sensor data in order to perform a certain task with sufficient attributes. An example of a proximity-aware application is an emergency response system that allows a team of search and rescue workers to share findings and coordinate team activities using their smartphones. Our research proposes a middleware infrastructure for building a spontaneous service sharing environment called SPontaneous Information and Resource sharing InfrasTructure (SPIRIT), which enables mobile devices to spontaneously share their sensor resources as services with other devices in their proximity. To that end, SPIRIT allows mobile devices to create, discover, subscribe, unsubscribe, invoke and control these shared services in an automatic and efficient fashion. The proposed infrastructure uses an underlying networking substrate targeted at providing group communications among mobile devices connected in a peer-to-peer ad-hoc fashion. This group communications substrate, called Courier, exploits the intermittent and sporadic communications opportunities among mobile devices for efficient routing. Courier also provides approaches for bandwidth efficient group management and adaptive data dissemination while focusing on handling mobility in an efficient way. Courier further discovers and exploits asymmetric links in a network, and uses them to reduce the routing latency and increase the routing reliability when there are no symmetric paths available.

Internship Research: In addition to my PhD dissertation research, I worked at the Center of Engineering Science Advanced Research (CESAR) at Oak Ridge National Laboratory (ORNL) for 11 months during 2009-2010 as a research intern. At ORNL, I worked on implementing novel and massively parallel Fast Fourier Transform (FFT) algorithms on hybrid multicore processors, e.g., the IBM Cell Broadband Engine (Single Instruction Multiple Data processor), the Coherent Logix HyperX (low-power, high-throughput, software-defined signal processor), and the NVIDIA Tesla GPGPU (Single Instruction Multiple Thread processor). The ultimate goal of this work was the design of adaptive FFT schemes which can not only exploit the advances of these massively parallel processors, but also incorporate unconventional architectural advances in these processors. e.g., real time compute and I/O capabilities.

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I got my master’s degree in theoretical mathematics, specifically the homology algebra in 2005. After two years working, from 2007, I started my computer science study at Clarkson University. Besides studying basic computer science classes, I learned some knowledge on Satisfiability Modulo Theories, which is a SAT problem in first order logic modulo equational theo-ries. Later, I read some papers about theorem proving and unification for preparing my future research. At the same time, I learned some basic background of cryptographic primitives and protocol design. I also took some classes on quantum computing, quantum cryptography and tensor products.

My Current Research:

Starting in 2009, I started working on designing E-unification algorithm modulo XOR and AG(with and without homomorphism) . My focus is on the application of unification to cryptographic protocols analysis via formal methods. The gaol is to find simple and efficient E-unification algorithms, which are applied to cryptographic protocol. This includes two parts: algorithms that are easy to be implemented and are efficient in practice. So far we devised several unification algorithms modulo exclusive OR (with homomorphism), Abelian groups (with homomorphism) and implemented them in Maude, which is a high-performance reflective language and system supporting both equational and rewriting logic specification and programming for a wide range of applications. Now we are working on asymmetric unification algorithm modulo XOR and Abelian, which is a new approaches derived from cryptograpic protocol analysis in Maude-NPA.

My Career Goal:

I want to be a research professor in computer science. So far, I am willing to find a postdoc or related research position in computer science, specifically in model checking, theorem proving, cryptographic protocols analysis, etc.

You can view my CV via here.

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Phone: 5182750-63

(My CV )

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Impact of My Work: The ability to manage and analyze large collections of phylogenetic trees is critical to biological research. As the numbers of organisms under study grow, so too will the outputted tree collections. My work makes it easy for scientists to efficiently analyze and store tree collections consisting of tens to hundreds of thousands of trees: TreeZip is the most efficient approach for compressing tree collections; MrsRF is the fastest method for comparing large groups of trees.

What I’m Looking For: I love working on challenging problems in computational biology. Currently, I’m looking for a position that will broaden my knowledge of data analysis and management of large biological datasets, and assist my growth as a researcher. I also have a strong interest in reproducible research, and working on a project related to promoting reproducibility in computational biology is a huge plus.

What I Bring to the Table: I am an experienced computer scientist and computational biologist with strong knowledge of both computer science and biology. In addition to computational phylogenetics, I have worked on projects related to sequence alignment and protein folding. I have strong written and oral communication skills, and have authored (or co-authored) seven papers during my graduate career. I have also given numerous presentations, four of which have won awards. I have a reputation of being a hard worker who is very passionate about what I do.

For More Information: Please visit my website for a full list of my publications, CV, and contact information.

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Phone: 609-365-0468

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Phone: 7342394367

• - Parallel and distributed computing including grid and cloud computing, distributed data structures, distributed data management, and distributed query methods arising from either wired and wireless networks or cluster-based network environments, or applied to large-scale distributed simulation systems, virtual environments, and grid or cloud computing data centers.
• - Interested in both building system architectures and solving underlying theoretical challenges involved in the design, development, and implementation of a novel system.

Education

• 2007 – 2011 Ph.D in Computer Science University of Ottawa, Canada
• 2005 – 2007 M.Sc in Computer Science University of Ottawa, Canada
• 2004 – 2005 Graduate Certificate in Internet Technologies University of Ottawa, Canada
• 2003 Specialist Program in Mathematical Science University of Toronto, Canada
• 2012 Ph.D Thesis Title

Data Distribution Management in Large-scale Distributed Environments
(nominated for the best doctoral thesis award)

Scholarships and Awards

• 2008 – 2011 NSERC Grant and Scholarships. CAD63,000
• 2007 – 2008 Ontario Graduate Scholarship. CAD15,000
• 2007 – 2011 U’Ottawa Excellence Scholarship CAD24,769
• 2007 The Dean’s Scholarship CAD1,500
• 2007 U’Ottawa Graduate Admission Scholarship (Ph.D) CAD3,875
• 2005 – 2006 U’Ottawa Graduate Admission Scholarship (MS.c) CAD5,535
• 2008 Excellence research award PARADISE Lab, University of Ottawa
• 2007 Best paper award IEEE DS-RT 2007

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