areas of research in computer science

This project was funded by the National Science Foundation. See some of our recent work in reprogramming scar tissue cells to recover some heat muscle cell functionality. Artificial intelligence. Alberta, Region 3. and surface properties (e.g., horizontal vs. vertical surfaces). Learn more about Seattle Open Peer-to-Peer Computing. Artificial intelligence. Visual Computing. Understanding the sequence to structure to function relationships allows biochemists to predict the activity of genes and rationally design genes with novel biological function. About. Information is extracted from the data that is around us: our likes and dislikes, our social connections, our activities. Please see the area descriptions linked below for more information on current efforts, faculty associations, and related research centers and labs. The University of Calgary acknowledges the impact of colonization on Indigenous The rate of unemployment among legally blind individuals of working age residing in the United States greatly exceeds the unemployment rate for individuals with no functional limitations. The research is also done in areas that make our lives better and more comfortable. Such a holistic design reduces the need for testing, and ad hoc implementations of controllers on distributed embedded platforms, and instead, supports automated synthesis, verification and certification. The big interplay of information in modern age puts a load over geeks in computer science to make software that can assimilate this big amount, categorize and make something out of it. Wireless communication and networking have revolutionized the way people communicate. Read the paper, LisaHellersteinis the co-author of "The Stochastic Score Classification Problem." View our three interactive maps highlighting our Computer Science Research Areas/Themes and Researchers. At Georgia Tech, computing is taken seriously. Theoretical computer science explores such questions. Guido Gerig, department chair,focuses on clinical neuroimaging to assist in studying such areas as early childhood brain development, children with autism, and infants at risk of schizophrenia. . Our faculty are active in the following major areas of computer science research. However, like any new technology, there are formidable problems, from performance issues to security and privacy, from metadata management to massively parallel execution. Subareas: Assistive Technology, Haptics, Human Factors Analysis, Sound &Audio Display, User-Interface Toolkits, Virtual Environments For many applications, 3D models are more descriptive and compact than the frames of the original video. Using single-cell flow and mass cytometry data collected across multiple individuals, our goal is to develop new computational techniques to identify and link heterogeneity in the cellular landscape to external variables of interest, such as, a clinical phenotype or diagnosis. Effective research integrates many areas, including but not limited to information privacy, sensors, biometric security, data mining, encryption, network security, social networks and machine learning. the Future Building Informatics and Visualization Lab (biLab). UNC-Chapel Hill Contact > CSE . Artificial Intelligence (AI) Computational Biology Computational Medicine Computer Graphics Computer Science . In another series of studies, Nov and his doctoral student Martina Balestra and their collaborators showed how design interventions affect users' understanding of and level of engagement with their personal genomic data. At UNC, we are creating new algorithms to address fundamental computational challenges inrobotics, including increasing the autonomy of robots, motion planning in complex environments, and providing new interfaces for natural human-robot interaction. For example, in hypoxia of heart muscle cells, the cells become scar tissue and lose their muscle function. The purpose of this project is to make cloud computing available to everyone. Research Areas in Computer Science. The 3D Computer Vision group further investigates in collaboration with Prof. Fabian Monrose the impact of modern computer vision methods onto data privacy and computer security. Tasks include clothing and style recognition and are applied to clothing recognition and other e-commerce-related problems. Without a doubt, you can know the depth of your work.To fix this issue, we bring our Computer science research topics for PhD services. The theoretical study of computer science allows us to better understand the capabilities and the limitations of exactly what problems computers can solve, and when they can solve those problems efficiently. After graduation, our students often work either in private corporations or in governments. Presently our department is engaged in several research directions in this general area. Traditional computer science has assumed that a single user interacts with a computer program at any one time. Using single-cell flow and mass cytometry data collected across multiple individuals, our goal is to develop new computational techniques to identify and link heterogeneity in the cellular landscape to external variables of interest, such as, a clinical phenotype or diagnosis. We follow a multi-disciplinary research approach and have integrated concepts and approaches from software engineering, agile computing, decision science, artificial intelligence, knowledge management, and computational intelligence to achieve novel results in people centric computing. PhD in Computer Science. Prof. Duggirala works on developing algorithmic verification techniques for ensuring safety of cyber-physical systems. 5. That said, as the first truly ubiquitous mobile computer, they offer new opportunities for security functionality, as well, e.g., for user authentication. The Real-Time Systems Group studies application systems in which timing constraints exist. In addition there are two ongoing projects sponsored by DARPA and ONR for Deepfake techniques, Deep Understanding of Technical Documents, and Computer Security (like memory attacks). Faculty: Alterovitz, Marron, Niethammer, Oguz, Pizer, Styner, Subareas: Language Generation, Multimodal and Grounded NLP (with Vision and Robotics),Question Answering and Dialogue Subareas: Assistive Robotics, Manipulation, Medical Robotics, Motion Planning & Control, Robot Learning, Robot Perception (see: Computer Vision) To see the list of graduate-level courses, please check here. Application areas of interest include pregnancy, HIV, neuroimmunology, and T-cell biology. Solutions to these issues come from a variety of fields, making this area called computer-supported collaborative work an interdisciplinary field. AI addresses the challenges of machine cognition, spanning the theoretical and empirical across diverse subfields such as . . Our faculty's contributions to these areas of the discipline are unmatched in their breadth, depth, and quality. The University of Calgary acknowledges the traditional territories of the people of the Treaty 7 Operating systems (OS) research at UNC studies end-to-end software system design. Single-cell measurements can be studied in vitro to understand the etiology of disease. Faculty: Aikat, Eskandarian, Monrose, Porter, Sturton. Our faculty are accomplished researchers. This company works in products that recover digital photos that are fragmented or deleted. Understanding the sequence to structure to function relationships allows biochemists to predict the activity of genes and rationally design genes with novel biological function. Learn more about Professor Julian Togelius's project. Subareas: Real-time and Embedded Systems, Sensor Systems, Mobile Computing, Control Theory and Systems, Formal Methods, Automated Verification and Certification At NYU Tandon, the Algorithms and Foundations group is composed of researchers interested in applying mathematical and theoretical tools to a variety of disciplines in computer science, from machine learning, to computational science, to geometry, to computational biology, and beyond. Real time system design and architecture with MPPSoc,GPU is the . Kno.e.sis has one of the largest academic groups in the US in Semantic Web, and its applications for better use and analysis of social and sensor data. Our faculty's innovative approaches and paradigms have had widespread international impact. Subareas: Data Integration, Internet of Things, Knowledge Discovery, Machine Learning, Scientific Data Management, Visual Analytics You'll be responsible for various tasks such as writing a thesis on new innovation, requirements gathering for any design problem, etc. See all that the College of Engineering and Computer Science has to offer by visiting campus. Our research activity and supervision for our standard one year MSD Computer Science is concentrated in the following principal research areas: artificial intelligence, biologically inspired architectures, educational technology, e-learning, natural and evolutionary computation, natural language engineering, software agents and software . Accordingly, research involving the design of algorithms for validating, scheduling, and synchronizing real-time task systems has been a continual focus within the group. The following list shows the research areas and the faculty conducting research in them. Faculty:Alterovitz,Anderson, Chakraborty, Duggirala,Nirjon, Smith. Conversely, current Computer Science taxonomies are coarse-grained and tend to evolve slowly. The goal is to better integrate principles of control theory with real-time and embedded systems design, rather than designing the control strategies and their implementation platforms independently, which has traditionally been the case. Maybe one of them will inspire you to do revolutionary research! Application areas of interest include pregnancy, HIV, neuroimmunology, and T-cell biology. 10th International Conference of Advanced Computer Science & Information Technology (ACSIT 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. Damon McCoy,one of the department's newest faculty members, researched counterfeit pharmacy affiliate networks. The broad goal of cognitive science is to characterize the nature of human knowledge - its forms and content - and how that knowledge . Subareas: Geometric Modeling &Computation, Solid Modeling 201 S. Columbia St. CB 3175 Dr. Nirjon works on low-power networks and radio frequency (RF) sensing techniques. In this regard, CMR University in Bengaluru that has a specialized school of research offering research in c. Career Services, The Department of Computer Science For students who are interested in learning game programming and taking part in game development and design. . We use novel measurement techniques as well as machine learning methods in understanding the interplay between these areas, with the aim of discovering the forces that shape the immune system throughout life. Single-Cell Bioinformatics: Cellular heterogeneity, or the synergy of diverse and specialized cell-types drive a range of biological phenomena. Calgary Alberta T2N 1N4 Software engineering at UNC-Chapel Hill is built on a long tradition starting with Fred Brookss. The Recognition group is also developing efficient methods for large-scale recognition both on the internet and in the real world. Thesis topics in data mining. Email: info@cs.unc.edu. Development and Differentiation, and Metagenomics: We use novel measurement techniques as well as machine learning methods in understanding the interplay between these areas, with the aim of discovering the forces that shape the immune system throughout life. peoples in Canada and is committed to our collective journey towards reconciliation to create a welcome We provide users with convincing, interactive, often immersive experiences in a computer generated synthetic environment. For facial recognition software or computer-assisted driving to be successful, computers must be able to process visual information correctly. Art and engineering intersect to create innovative game environments that captivate players. October 28, 2022 The School of Computing and Information (SCI) is home to the Computer Science Club (CSC) - the largest student organization for computer science on campus. A special focus in our department has been on the development of energy-efficient graphics hardware. Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day. Our program is a fusion of computer Science and electrical engineering, allowing our students to work at the cutting edge of current research and development. Our focus on making complete tools for our collaborators continues to push us to develop both software, hardware (graphics engines, trackers, hand-held interaction devices), and new interaction techniques to meet their needs. Another area of future interest is energy-harvesting systems, which are ultra-low-power systems that operate on energy scavenged from the environment. Reducing power consumption is also important for desktop computing to alleviate challenges of heat removal and power delivery. Big data analytics. in the area of research in computer science. Learn more about RevEx and download the demo. The City of Calgary is also home to Metis Nation of Relevant People: Jack Snoeyink, Jan Prins[/expand], Subareas: Accelerators, Clockless Logic, Energy-efficient Computing, Security Abstract. Wearable devices, such as smart watches and smart glasses, and other common sensors are increasingly facilitating new modes of interaction with modern computersmaking the goal of ubiquitous computing realizable. Thesis topics in machine learning. Cognitive science is the scientific study of the human mind. The overarching goal is to apply the insights from such analyses to propose new treatments for cancers. Discover the types of research the department is doing and who within the department focuses on a particular research area. and inclusive campus that encourages Indigenous ways of knowing, doing, connecting and being. Human-computer interaction (HCI) is the study and the design of interaction between people and computers. Throughout the past four decades, the department has influenced society at levels that remain without parallel among academic institutions. This is a list of academic conferences in computer science. He has . Our current application area the creation of control systems for insect-like flapping-wing air vehicles that repair themselves, in flight, after suffering wing damage. 5 Machine Learning. Challenges arise because as mobile devices evolve toward fully functional computers with platforms like Android, they become targets for exploits that are now common for personal computers and potentially new exploits arising from the usage modes they enable. These tradeoffs need to be explicitly accounted for when designing control algorithms that use such sensors. Pursuing the design of the hardware and software infrastructure for massive-scale computing systems. It's free and provides access to computers worldwide. Programming models for nested parallelism, multi-core and many-core processors, and the parallel memory hierarchy. Methods include statistical pattern recognition, multivariate data analysis, classifiers, modeling and simulation, and scientific visualization. Data mining facilitates the characterization, classification, clustering, and searching of different databases, including text data, image and video data, and bioinformatics data for various applications. Research in this area focuses on developing efficient and scalable algorithms for solving large scale optimization problems in . It's free and provides access to computers worldwide. Here are 15 computer science disciplines you can explore: 1. ProfessorJulian Togeliusspecializes in artificial intelligence, and has programmed AI agents that play several existing video games. The University of Maryland Computer Science Department, and other partner departments on campus, have world-class expertise in these areas. Chiniki, Bearspaw and Wesley First Nations). Justin Capposhas been developing an open peer-to-peer computing system, Seattle. Beyond pure reconstruction, the group has research thrusts on large-scale geo-location of terrestrial images. Research Areas in Computer Science: The latest software technology that has a better scope nowadays is dependable and secure computing.The emerging technology that plays a crucial role in the software world that is beneficial in several ways. Areas of Expertise Dr. Yixin Chen, Professor and ChairChen's research focuses on the design, analysis, implementation, and applications of machine learning Chen's research focuses on the design, analysis, implementation, and applications of machine learning algorithms. Artificial Intelligence (AI) Computer Architecture & Engineering (ARC) Biosystems & Computational Biology (BIO) Cyber-Physical Systems and Design Automation (CPSDA) Database Management Systems (DBMS) Education (EDUC) Graphics (GR) Human-Computer Interaction (HCI) The cloud platform increases in importance as our industry makes the phase change from in-house data management to cloud-hosted data management to improve efficiency and focus on core businesses. At a high-level, the OS group explores different system design points through building realistic prototypes and empirical measurement of the impact of these design choices. Faculty: Alterovitz, Bansal, Snoeyink, Daniel Szafir. Internet of Things: The Internet of Things (IoT) is a fabric that is aimed at connecting every object in the world to the Internet. Computer Science faculty conduct research on multiple topics in this area, including processor and memory hierarchy micro-architecture, interplay between compilers and other system software and architecture, optimization for performance, power, and other constraints, heterogeneous . These populations face significant barriers to education and employment that we aim to reduce, as well as study different modes of interaction with computers. Our interests include computational geometry models for molecular structure, high performance computing for dynamic simulation, mining structure motifs for protein functional prediction, remote homology detection, protein-protein interaction, and protein-ligand interaction. Federated Computing Research Conference; Algorithms and theory . Single-cell datasets produced with technologies, such as single-cell RNA sequencing (scRNA-seq) or flow and mass cytometry reveal a unique data structure where there are several high-dimensional single-cell measurements per profiled sample, which need to be efficiently integrated. By dispensing with global clocks and instead using flexible handshaking between components, asynchronous design offers the benefits of lower power consumption, greater ease of integration of multiple cores, and greater robustness to manufacturing and runtime variation. Data Mining: Our group has a long history of developing data mining methods and has successfully applied them to solve problems in many other disciplines. Often applied for the analysis of human blood and tissue samples, the produced datasets can collectively contain millions of cells. Our faculty apply modern tools such as deep neural networks, evolutionary algorithms, statistical inference, topological analysis, and graphical inference models to a wide variety of problems from engineering, science, and medicine. Leinweber Computer Science and Information Building , Resources for Student Support and Inclusion, Chip Design, Architecture, & Emerging Devices, Networking, Operating Systems, & Distributed Systems, Electrical Engineering and Computer Science Department, The Regents of the University of Michigan. It also has strong connections with computer vision and machine learning research (Prof. Bergs group) for natural language generation based on image content and text-to-image reference resolution. Current areas of research in the department include: Algorithms and theory. Additionally, the development and evaluation of operating system infrastructure, in the form of scheduling and synchronization methods, has been an active topic of investigation. By studying geometric problems in an abstract setting, we learn techniques that can be applied in many application domains. Privacy Policy Within the area of Human-Computer Interaction, UNCs main focus is on developing immersive 3D interaction systems. It is sometimes said that computer engineering is the nexus that connects electrical engineering and computer science. Research Field. Computer Systems. Nearly 100 students participated in its creation. By enrolling in this program, you will be on your way to joining a select group at the very nexus of technological . Cellular heterogeneity, or the synergy of diverse and specialized cell-types drive a range of biological phenomena. Experimental and applied investigations of intelligent systems, including rational decision making, machine learning and perception, natural language processing, cognitive modeling, and more. The visualization of such data elegantly brings structure and simplicity to it. We are developing technologies to better protect data and processing in such threatening environments. UNC ITS Help Desk Research areas represent the major research activities in the Department of Computer Science. This area has substantial overlap with a number of other research areas, including cyber-physical systems, real-time systems, mobile systems, networking, architecture, human-computer interaction, and security. Faculty: Porter, Singh, Sturton. The faculty of the Department of Computer Science engages students to conduct cutting-edge and impactful research in various areas of computer science. Our researchers work on all aspects of asynchronous design, including circuits, architectures, and CAD tools. CRA's Annual Taulbee Report gives a breakdown . It is an advantage if you work on the same thing others are working on, they will be . Technologies and Data Science Problems: Single-cell datasets produced with technologies, such as single-cell RNA sequencing (scRNA-seq) or flow and mass cytometry reveal a unique data structure where there are several high-dimensional single-cell measurements per profiled sample, which need to be efficiently integrated. Similar to the cloud computing and grid computing secure computing also store the information temporarily as well as permanently. Diverse biological function is encoded in the atomic structure of macro-molecules such as Proteins and RNA. Faculty:Bansal, Berg, Chaturvedi, Srivastava, Subareas: Distributed Systems, Internet Measurements, Multimedia Systems, Multimedia Transport,Network Protocols There's certainly no shortage of opportunities to develop real-world applications of the technology, and there's immense scope for break-through moments in this field. Brooks Computer Science Building Personally I think the later topics would make for an easier letter grade, but if you are . Cloud Computing. Our interests include both modeling paradigms, such as Bayesian nonparametric methods, and inference methodologies, such as MCMC, variational methods and convex optimization. Relevant People: We also work on structured, interpretable, and generalizable deep learning models. In particular, this includes developing methods to: describe images or video using natural language, predict how a person will refer to specific objects in complex real-world scenes, and answer natural language questions about images. People Centric Computing. The data deals with HVAC systems and energy use in such buildings to assist in building management strategies. Approximately $6 million of externally sponsored research was conducted in the year 2021. Faculty: Ahalt, Dewan, Porter, Pozefsky, Stotts, Subareas: Algorithms, Automated Theorem Proving, Formal Methods Thesis topics in digital image processing. Theodore Kim - As part of the Yale Computer Graphics Group, I research topics in physics-based simulation, including fire, water, and humans. This includes techniques for assessing elements of the effectiveness or ease of use of an interface as well the development of more intuitive and natural interfaces. Illinois Computer Science has a global reputation for developing revolutionary technology where groundbreaking research addresses real-world problems. It embraces concepts such as software as a service and platform as a service, including services for workflow facilities, application design and development, deployment and hosting services, data integration, and management of software. NSF is divided into seven directorates that support science and engineering research and education: Biological Sciences, Computer and Information Science and Engineering, Engineering, Geosciences, Mathematical and Physical Sciences, Social, Behavioral and Economic Sciences, and Education and Human Resources. Data Science and Analysis. ), as well as identifying materials (glass, metal, wood, etc.) It also includes force-feedback systems that let our collaborators touch molecules, feel the brush interacting with the canvas for virtual painting, and feel the 3D models they are sculpting. More . The focus includes modeling the dynamic and transient scene objects to bring the models alive. The advances in high-throughput genotyping and sequencing have generated massive amounts of data that allow genome-wide analysis to be performed at much finer resolution than before, but at the same time posed great computational challenges. ProfessorOded Novworks with students and collaborators to explore how novel computational tools and user interface design informed by social science can help people make sense and reason better about such data and their personal implications. People increasingly make important life decisions based on large amounts of data, using online tools. Computer science offers a sought-after, lucrative career path for tech-savvy people interested in the latest computer advancements. Dr. Kaur concentrates on the communications software found in PCs as well as large systems and Dr. Mayer-Patels research is directed at different ways to make the media used in applications richer. Faculty: Anderson, Jeffay, Porter, Smith. Security research focuses on developing techniques to defend computer systems and networks against misuse and interference. Currently, there are more than two billion cellular telephone subscribers worldwide. Researching systems allows for students to improve real-world systems to make them stronger and securer. Because these facilities are shared, however, a customers data and processing may reside with those of competitors or attackers, and so privacy and integrity of the customers activities are paramount. Reiter and Monrose work on ways to make networks more secure. Cryptography. Research Areas. From groundbreaking detection and mitigation techniques in cyber security, to the latest trends in software-defined networking or advances in parallel programming and high performance systems, to a "reboot" of traditional architecture in search of ever more efficient . This NSF REU site offers a ten-week summer program that aims at providing a diverse group of motivated undergraduates with competitive research experiences in cyber-security research. Our interests include clustering and subspace clustering in high dimensional data, matrix factorization, graph mining and classification, efficient methods for large scale statistical tests. Christopher Muscoand doctoral student Raphael A. Meyer wrote a paper titled Hutch++: Optimal Stochastic Trace Estimation that introduces an new randomized algorithm for implicit trace estimation, a linear algebra problem with applications ranging from computational chemistry, to understanding social networks and deep neural networks. They help to keep cars safely on the road, enable remote robotics operations in hazardous environments, reconstruct 3D models of cities, and organize photo collections, both personal and across the web. Artificial intelligence, or AI, is the study and design of systems that can function autonomously from human input. Networking can be chosen as a thesis topic in computer science. Website feedback, University of Calgary Application of HPC principles and techniques for real-time physically based simulations and for large-scale scientific computing problems. Computer Science at U of T is known for its work in neural networks, computer graphics, machine learning, theory, human-computer interaction (HCI), scientific computation, computer performance evaluation, and more. The tool can sort through millions of reviews at one time and visualize trends. We live in an information age. Prof. Anderson study scheduling algorithms for scheduling jobs on computers, and develop new algorithms with better asymptotic run times than existing ones. Department of Computer Science & Engineering. Assistant ProfessorRumi Chunaraworks at the intersection of Big Data and Public Health, using information gleaned from social media sites like Facebook and Twitter to predict epidemics, track obesity rates on a local level, and much more. For some areas, their parent branch of Computer Science (such as Scientific Computing) is indicated in parentheses. A major research direction in HCI at UNC is exploring design techniques and system support to more easily extend desktop and phone applications onto devices with widely varying form factors and interaction modes. UNC.edu, Schedule a visit Some of the recent research topics include image-generation algorithms, geometric and physics-based modeling, computer animation, multi-modal interaction techniques (including haptics, audio, and project-based rendering), model and motion acquisition, large-scale data management, analysis, and visualization, graphics hardware, display devices, and their applications.

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areas of research in computer science