computer operating real science system thesis time

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Computer operating real science system thesis time summarized biography essay

Computer operating real science system thesis time

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Google Analytics. This site uses Google Analytics. Last updated on 13 July Description Linux is gaining popularity as an operating system in a number of time-critical and safety-critical domains like automotive or railways. However, one of the critical elements still obstructing its use in said scenarios is the one of the complexity of its kernel with million lines of code, which makes it quite difficult to gain the necessary certifications. This complexity may be tackled by the use of formal methods, and an increasingly promising area is the one of run-time verification, where automata-based models of various excerpts of the code base can be composed and analyzed, verifying that the run-time behavior complies with said models.

This thesis proposal deals with realizing an open-source tool for the description of automata and their composition, and their integration with a framework for run-time verification of code which is being actively developed by Red Hat for the Linux kernel. Some knowledge of, and experience with, Qt or other GUI subsystems is desirable. Students of a MSc degree in computer engineering or computer science are suitable to undertake this thesis project.

Benefits The student will have a deep dive on a hot-topic in the development of time-critical and safety-critical software, and gain the chance to develop a key tool helping to improve an automata-based run-time verification toolchain for the Linux kernel. Collaborations The student will have the opportunity to be involved in state-of-the-art research activities being carried out in the context of an international collaboration going on between Scuola Sant'Anna and Red Hat.

Description High-performance networking primitives based on kernel-bypass, such as DPDK, are receiving an increasing attraction across industry practitioners and academics, thanks to their capability to realize higher throughput and lower latencies, than achievable with traditional socket-based primitives requiring the OS intevention for the transmission of each packet or batch.

However, the achievable performance points are strictly depending on how many CPUs are dedicated on the platform to the switching logic among multiple entities that need to communicate. Said logic becomes a critical part of the system, constituting a potential bottleneck for techniques of this kind.

The consequent computational requirements, as well as their associated power consumption levels, may turn out to be excessive, during periods in which the hosted services are exhibiting moderate workloads. This thesis proposal deals with realizing an adaptive high-performance networking switch for DPDK, capable of dynamically switching among a number of modes, including the ability to instantiate additional threads for packet switching and remove them as needed, based on the instantaneous conditions of the system.

Requirements The student should be fluent with socket-based networking primitives and the use of the C programming language. Some knowledge and experience with parallel programming is desirable. Computer engineering, computer science and telecommunication engineering are all excellent backgrounds to undertake a MSc thesis project on the proposed topics. Benefits The student will have a deep dive on efficient software engineering for high-performance networking switches, gaining a practical and hands-on experience on some of the key and hottest technologies for the development of future data-intensive distributed software in the industry of cloud and distributed computing.

Collaborations The student will have the opportunity to be involved in state-of-the-art research activities being carried out in the context of an international collaboration tackling some among the most important challenges in realizing high-performance networking services.

Description Model-Driven Engineering and Model-Based Design are gaining momentum in various embedded industrial fields like automotive, railroad, aerospace and others. These techniques involve the use of a number of tools that help system designers and software engineers to carry out the whole software life-cycle of a component or application: from the requirements specification to high-level architecture design, down to low-level components specification and the final implementation phases.

However, the computational requirements of modern cyber-physical systems have grown enormously in the last decade, with the growing interest in deploying complex robot control algorithms requiring on-line optimizations, sophisticated computer vision algorithms for object recognition, trajectory detection and forecasts, and machine learning and artificial intelligence techniques applying data analysis and forecasting as required in predictive maintenance, towards the full potential of the so called Industry 4.

All of these algorithms need expensive vectorial and matrix operations that are conveniently accelerated through the use of multi- and many-core general-purpose computing platforms, GP-GPU acceleration or even FPGA acceleration. However, writing software capable to run on a wide heterogeneity of hardware elements is quite cumbersome nowadays.

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This program combines a strong course component with a research thesis. It is the usual but not mandatory entry point for students who wish to do a Ph. The intention of the Bioinformatics option is to train students to become researchers in this interdisciplinary field. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases, and the use of algorithms and statistics.

This program is designed for students who want to obtain broad knowledge of advanced topics in computer science but without the requirement of a thesis. It offers an excellent preparation for the job market, but is not recommended for students interested in eventually pursuing a Ph. Our graduates take challenging positions in industry or take academic positions at universities and research labs. In order to apply to the Ph. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases and the use of algorithms and statistics.

The minimum requirement for admission is a bachelor's degree cumulative grade point average CGPA of 3. The website supplements the information in this publication, and should be consulted by all graduate students. Students who hold a B. Students who are in the M. For further details, consult the School of Computer Science's website. Application opening dates are set by Enrolment Services in consultation with Graduate and Postdoctoral Studies GPS , while application deadlines are set by the School of Computer Science and may be revised at any time.

Applicants must verify all deadlines and documentation requirements well in advance on the appropriate McGill departmental website; please consult the list at mcgill. For further details on our admission requirements, please visit our website at www. Enter your keywords. Computer Science. About Computer Science The School of Computer Science is one of the leading teaching and research centres for computer science in Canada.

Research in the School covers a broad range of areas, including: Theory : algorithms, combinatorial optimization, computational geometry, cryptography, graph theory, logic and computation, programming languages, quantum computing, theory of computation, and scientific computing; Systems : compilers, computer games, distributed systems, embedded and real-time systems, modelling and simulations, networks, and software engineering; Applications : bioinformatics, machine learning, robotics, computer animation, graphics, and vision.

Master of Science M. Computer Science Thesis 45 credits This program is designed for students with a strong interest in research in computer science who hold at least the equivalent of an undergraduate minor in CS. Map Based Application on American Colonization. Map-Based Tool on the History of Cricket. Online Web ballot Application. A Web Application for Online Polling. Evolution of American Automobile Industry.

Interactive Tool for American Civil War. Demography Growth in China. Imports and Exports of the USA. Generic Log Analysis Tool. Evolution of Democracy in Europe. Location Based Chat Application for iPhone. GIS application on modern Mexico. Afghanistan — History and Beyond.

S Relationship with the Philippines. Chart feature facility packaged for map object, java edition. Religions in the Middle East. American War of Independence and its Prolog. The Amistad. Cystic Fibrosis Patient Monitoring Application. Online Portal for San Diego County. Assorted GIS Tools. Parallel Computation of Functions on Set Partitions. NewsMap On The Go.

Android App for School of Arts and Design. Time line help package for map objects. Faculty Annual Report Maintenance Website. Arabic Culture Course Management System. Web Page Analysis. A Journey through the Lattice. Multimedia Survey Of Colonial India. Lakshmi Vijayachandran. Interactive World Map: Natural Disasters. Designing a Better Authentication Model.

Aditi Singh. Lavanya Vangalkrishnakumar. Detecting Exaggerated Rankings in Online Reviews. Teacher Credentialing in California. Kusuma Devanga. Akin Gursel. Sudeshna Mukherjee. Vikram Ramanna. Vikas Sharma. Kanika Maheshwari. Aseem Chaudhary. Swathi Simmula. Shrutika Sutar. Monica Maleyanda.

Varun Jaiswal. Xinhua Fahy. Kashyap Ivaturi. Dilpreet Sandhu. Tejpreet Sempla. Sudeep Sen. Manoj Raskar. Arvind Morwal. Preetam Borah. Ankit Patel. Aditi Laddha. Santosh Dantuluri. Tushar Jadhav. Monal Doctor. Parita Shah. Nilay Jani. Rima Shah. Gaurav Sharma. Rahul Chaturvedi. Fnu Sourabh. Achal Shah. Uma Kunapareddy.

Development of Json and Ajax enabled, database driven, user interfaces for science application portals. Importance of Metadata in Data Warehousing. Text Classification using Machine Learning. Mobile Application for Business Card Capture. Path Planning in Planar Environments using Triangulations.

Analysis and Debugging Techniques of Android Platform. Online Shopping Cart. Email based FAQ web application. Electoral History by GIS. Cascading Style Sheet Generator. Advertisement Management System. GPS Tracking System. A service oriented cross-platform approach to perform thermodynamic calculations.

Wiki Contributions to Software Engineering. Mapping Engine to calculate trends in chatter in social media. Video Upload Tool with Subtitling Feature.

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In addition to the admission requirements stated above, applicants are expected to demonstrate proficiency at the undergraduate level in four fundamental areas of computer science, and mathematics. These are referred to as the undergraduate proficiency requirements.

Students may be admitted with one or more deficiencies in the undergraduate proficiency requirements. It is expected that the student will complete the undergraduate proficiency requirements by the end of their master degree. Plan I requires successful completion of a thesis, while Plan II requires successful completion of either a project or a master exam. Students should decide, in consultation with graduate group faculty, which option best suits their individual goals.

All options require 36 units of upper division and graduate coursework. At most 4 of these units may be from upper division courses. The following table summarizes the specific requirements for the thesis, project, and exam options. While ECS units may be counted toward the required 36 units, up to the limits specified above, no other course numbered or above may count towards the 36 units. A student must have a GPA of 3.

Full-time students must enroll in a minimum of 12 units per quarter. As per UC regulations, students may not enroll in more than 12 units of graduate level courses, nor more than 16 units of combined undergraduate and graduate level courses. The Core area requirement requires the demonstration of proficiency at the graduate level in three of four specified areas: Architecture, Systems, Theory and Applications.

For each area, the student can demonstrate satisfaction of the core area by completing a Core course in the area with a grade of B or better. Admissions Committee -- Completed applications are evaluated by the Admissions Committee, with the assistance of other faculty in the Graduate Group. The Admissions Committee consists of six Graduate Group faculty. The recommendation is forwarded to the Dean of Graduate Studies for final approval of admission.

Notification of admissions decisions will be sent by Graduate Studies. Applications are accepted from September when the admission system opens through January 15 for the next Fall-entering class. These nominations are submitted to the Office of Graduate Studies for formal appointment in accordance with Graduate Council policy. At least two members of this committee must be members of the Academic Senate of the University of California, and a least two members of this committee must be GGCS members.

The thesis must be approved by all three members of the Thesis Committee. This nomination is submitted to the Graduate Advisors Committee for approval. A project must be approved by all members of the committee. The majority of this committee must be GGCS members. The format of the exam is described in Section 8c. The Graduate Program Coordinator assists students with appointments, requirements, university policies, and in identifying a Thesis Advisor or Project Advisor.

The Mentoring Guidelines can be found in the graduate student handbook. After completing at least one-half the course requirements for the degree, a student must file an application for Advancement to Candidacy. A student must file for candidacy at least one full quarter before completion of all degree requirements and before going on filing fee status. The Candidacy for the Degree of Master form can be found online. A completed form includes a list of courses the student will take to complete degree requirements.

Some reasons for deferring an application include a grade point average below 3. The thesis research must be conducted while the student is enrolled in the program. The thesis is submitted to the Thesis Committee at least one month before the student plans to make requested revisions.

All Thesis Committee members must approve the thesis and sign the title page before the thesis is submitted to Graduate Studies for final approval. Should the committee determine that the thesis is unacceptable, even with substantial revisions, the program may recommend the student for disqualification from the program to the Dean of Graduate Studies.

The student and Thesis Advisor must meet at least once a quarter with the other two members of the Thesis Committee to discuss progress and any changes in research objectives. The thesis must be filed in a quarter in which the student is registered or on filing fee. Instructions on preparation of the thesis and a schedule of dates for filing the thesis in final form are available from Graduate Studies; the dates are also printed in the UC Davis General Catalog and in the Class Schedule and Registration Guide issued each quarter.

Project A project is carried out under the supervision of the faculty member who serves as Project Advisor. The topic and extent of the project is determined by the faculty member in consultation with the student. All committee members must approve the project. Should the Project Committee determine that the project outcome is unacceptable, the program may recommend the student for disqualification from the program to the Dean of Graduate Studies.

Available project topics are listed here. The examination may be taken once the student has completed required courses and advanced to candidacy. The deadlines for completing this requirement are listed each quarter in the campus General Catalog available online or from the Bookstore.

If a student does not pass the exam on the first attempt, the Exam Committee may recommend that the student be reexamined one more time, but only if the Graduate Adviser Committee concurs with the Exam Committee.

The examination may not be repeated more than once, and the student is not allowed to retake the exam on a different topic area or in a different category i. The Exam Committee provides information concerning the timing and format of a second exam if a student must retake the exam after failing part or the entire first exam. A student who does not pass on the second attempt will be recommended for disqualification from further graduate work in the program to the Dean of Graduate Studies.

For either Project or Examination, a candidate must be a registered student or on filing fee status at the time the program submits the form, with the exception of the summer period between the end of the Spring Quarter and the beginning of Fall Quarter. It is expected that the student will complete the MS degree by the end of the seventh 7 quarter of residence, including all course requirements and the approval of the thesis.

These deadlines may be extended only by approval of the Graduate Advisors Committee of the Graduate Group. The team is seeking a student to continue development of the quadcopter control system using the Robot Operating System ROS. The student will be responsible for improving the existing control algorithm and interfacing the control algorithm to the Unity game engine to coordinate the real and virtual game experiences.

The student will collaborate with other team members responsible for game design and quadcopter localization. Description Professor Mohammad Sadoghi is leading a team to pioneer a new exploratory data platform—referred to as ExpoDB Blockchain Fabric—a distributed ledger that unifies secure transactional and real-time analytical processing, all centered around a democratic and decentralized computational model.

We have many exciting projects ranging from novel applications to core systems topics; for example, rethinking classical consensus and agreement protocols, reimagining blockchain as middleware for bringing reliability to unreliable or insecure infrastructure, and envisioning blockchain as an abstraction layer to run emerging software paradigms such as Serverless, Function-as-a-Service FaaS , and microservice architectures.

The students will have the opportunity to collaborate with senior team members on their selected projects. Description Piecewise linear functions of several variables are a fundamental structure of optimization and data science. The goal is an open source library for Python or Julia.

The immediate application is in cutting planes for integer programming, but no prior experience with this topic is necessary. Description The human brain is a highly complex organ. To better understand how the different regions of the brain function and change with age and disease, we have obtained high dimensional imaging and genomic measurements of cells across the brain.

No prior experience in biology or genomics is needed, but students will be spending a significant amount of time relating their findings to the biological literature and testing different feature extraction methods to interpret their neural networks. We have a large need for application development on Gunrock, writing interesting graph applications that use our framework we have a long list of these from our funding agency.

We would hope to train you in GPU computing and in using our framework. This could potentially lead to MS thesis opportunities but also could be a shorter project with an option of switching to another group if interested. We need talented students who can learn quickly and work independently. Funding may be available.

Description Dr. Using markers in the environment, as seen by the video cameras, the computers determine the position of each quadcopter, and use the inertial sensors and quadcopter physics simulation to extrapolate to future frames to decrease VR latency. The games are written in Unity. The quadcopter positions are communicated to the master computer, and are used in the game physics calculations. The master computer receives the user control signals, and either sends them directly to the quadcopter, or modifies them according to the game physics and to avoid collisions.

This centralized master server also contain the game logic, such as scoring. The video camera is fixed on the drone, with a wide angle lens so that the part of the image can be selected appropriate to the user head position and orientation. The computer graphics CG augmented elements are added in stereo onto the real video background, also accounting for the user head motion.

Thus the game players feel as if they were looking through the windows of a real aircraft at the actual environment in which they are flying. We are using the Oculus Rift software development environment, which allows the video input and computer graphics elements to be supplied on separate layers, with different updates and motion extrapolation parameters.

Using the known quadcopter positions, the images of the other quadcopters in the video background can be covered up with stereo CG models, so that they also appear in 3D. Our initial game was a pong-like paddleball game, with a paddle at each quadcopter, and a virtual ball, which we hope to replace with a third quadcopter. There are game displays showing top down and side views, either on the cockpit dashboard or in a heads-up display on its window, and sound effects when the ball is hit by the paddle, or hits the walls, floor, or ceiling of the game space.

Our second game was a maze racing game, where two players start at opposite corners of a two-level maze like track, and attempt to overtake each other. We are now developing a shooting game, where each player has a gun to shoot opponents, and the controlling computer decides when an opponent has been hit, adding appropriate graphics like fire. The projectiles are shown in stereo CG. We are also evolving the paddle-ball game into a 3D soccer game, with goal areas on two opposite walls, which will light up when there is a goal.

Summary of all publications : Click Here. The Walnut Kernel is a capability based operating system kernel that was developed in the Department of Computer Science at Monash University during the s. This kernel is heir to many of the ideas that were implemented in the Password-Capability System. Focusing on the programmer's view, this paper describes the Password-Capability model and the features of the Walnut Kernel and the design decisions taken in creating it.

Research Publications. The WalNUT Password Capability System is a secure operating system design, which employs password capability techniques to control access to objects within the system.

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