CUBS slideshow (Center for Unified Biometrics and Sensors)

•Download as PPTX, PDF•

1 like•346 views

Center for Unified Biometrics and Sensors at SUNY Buffalo

Unique Capabilities Sponsors – Biometrics projects at CUBS Technology Transfer Record Current Leveraged Projects People – Faculty, Staff, Students Biometrics Community Leadership

Technology

University at BuffaloCenter for Unified Biometrics and SensorsMarch 2011

Unique Capabilities Faculty strengths in multiple disciplines Behavioral Sciences, Social Issues Computer Vision, Visualization Chemical and Biological Sensors Pattern Recognition, Machine Learning Smart Environments, Pervasive Computing Spectroscopy Solid record of transferring of technology to field Large pool of current PhD students Growing pool of PhD alumni in industry Several current projects with industry

Sponsors(last 5 years) ACIS, Buffalo, NY Applied Media Analysis, College Park, MD BBN Technologies, Cambridge, MA Buffalo Computer Graphics, Blasdell, NY CUBRC, Cheektowaga, NY Fujitsu, Sunnyvale, CA HP Labs, India Health Transaction Network, Williamsville, NY Matrix, Niagara Falls, NY Ultra-Scan, Amherst, NY ,[object Object]

Directorate of Central Intelligence (DCI)

Current ProjectsLeveraged Anthropometry Cryptography Fingerprint Indexing Fusion Handwriting Forensics People Tracking Lip Reading, Gaze Tracking Sensors Soft Biometrics Web Security

Fingerprint Indexing Enrollment Phase Searching Phase

Unobtrusive People Tracking Freedom from Continuous Surveillance RECOGNIZE REASON Evolutionary Recognition RETRIEVE Did Bob and Frank meet at the library yesterday? Given building map, occupants, schedules, sensor locations

Soft BiometricsExpressions + = AU 6 AU 12 AU 6 & 12 + + = AU 1 AU 2 AU 4 AU 1, 2 & 4 + + = AU 1 AU 4 AU 15 AU 1, 4 & 15 FACS FEAR HAPPY ANGER SAD FEAR HAPPY SAD Facial Expression Manifold

Q: The suspect is male 1st Iteration Pruned Set Q: The suspect has a beard 2nd Iteration Pruned Set Q: The suspect wears spectacles 3rd Iteration SUSPECT Soft BiometricsSemantic Face Retrieval Original Set

? ? ? Web SecurityVerify humanness MACHINES FAIL Synthetic handwriting generator poses questions in varying writing styles English! HUMANS SUCCEED

PeopleFaculty Frank Bright SUNY Distinguished Professor Biological, Chemical Sensors VenuGovindaraju SUNY Distinguished Professor Machine Learning Director Mark Frank Professor Behavioral Sciences Raymond Fu Assistant Professor Computer Vision, Visualization Alex Cartwright Professor Spectroscopy, Photonics AtriRudra Assistant Professor Cryptography, Coding theory

Data science remains a high-touch activity, especially in life, physical, and social sciences. Data management and manipulation tasks consume too much bandwidth: Specialized tools and technologies are difficult to use together, issues of scale persist despite the Cambrian explosion of big data systems, and public data sources (including the scientific literature itself) suffer curation and quality problems. Together, these problems motivate a research agenda around “human-data interaction:” understanding and optimizing how people use and share quantitative information. I’ll describe some of our ongoing work in this area at the University of Washington eScience Institute. In the context of the Myria project, we're building a big data "polystore" system that can hide the idiosyncrasies of specialized systems behind a common interface without sacrificing performance. In scientific data curation, we are automatically correcting metadata errors in public data repositories with cooperative machine learning approaches. In the Viziometrics project, we are mining patterns of visual information in the scientific literature using machine vision, machine learning, and graph analytics. In the VizDeck and Voyager projects, we are developing automatic visualization recommendation techniques. In graph analytics, we are working on parallelizing best-of-breed graph clustering algorithms to handle multi-billion-edge graphs. The common thread in these projects is the goal of democratizing data science techniques, especially in the sciences.

Join us in Boston this coming Fall to attend Cambridge Healthtech Institute's (CHI) 2nd Annual FAST: Functional Analysis & Screening Technologies Congress on November 17-19, 2014 and meet with a community of 250+ biologists, screening managers, assay developers, engineers and pharmacologists dedicated to improving in vitro cell models and phenotypic screening to advance drug discovery and development at 6 conferences: Phenotypic Drug Discovery (Part I & II), Engineering Functional 3D Models, Screening and Functional Analysis of 3D Models, Organotypic Culture Models for Toxicology and Physiologically-Relevant Cellular Tumor Models for Drug Discovery. Delegates have the opportunity to share insights in interactive panel discussions and connect during networking breaks. View innovative technologies and scientific research revolutionizing early-stage drug discovery in the exhibit/poster hall.

Big data nebraskaAdina Chuang Howe

Proteins in 3D, NMC 2009

mollywoggly

City College of San Francisco Stem Cell Certification

bio-link

VIVO: enabling the discovery of research and scholarship

Paul Albert

Keynote Speaker 1 - Data Intensive Challenges in Biodiversity Conservation: a...

TERN Australia

CRI - Teaching Through Research - John Jungck - BioQuestLeadershipProgram

Web Apollo at Genome Informatics 2014

Monica Munoz-Torres

Precise elucidation of the many different biological features encoded in any genome requires careful examination and review by researchers, who gather and evaluate the available evidence to corroborate and modify gene predictions and other biological elements. This curation process allows them to resolve discrepancies and validate automated gene model hypotheses and alignments. This approach is the well-established practice for well-known genomes such as human, mouse, zebrafish, Drosophila, et cetera. Desktop Apollo was originally developed to meet these needs. The cost of sequencing a genome has been dramatically reduced by several orders of magnitude in the last decade, and the natural consequence is that more and more researchers are sequencing more and more new genomes, both within populations and across species. Because individual researchers can now readily sequence many genomes of interest, the need for a universally accessible genomic curation tool logically follows. Each new exome or genome sequenced requires visualization and curation to obtain biologically accurate genomic features sets, even for limited set of genes, because computational genome analysis remains an imperfect art. Additionally, unlike earlier genome projects, which had the advantage of more highly polished genomes, recent projects usually have lower coverage. Therefore researchers now face additional work correcting for more frequent assembly errors and annotating genes split across multiple contigs. Genome annotation is an inherently collaborative task; researchers only very rarely work in isolation, turning to colleagues for second opinions and insights from those with with expertise in particular domains and gene families. The new JavaScript based Apollo, allows researchers real-time interactivity, breaking down large amounts of data into manageable portions to mobilize groups of researchers with shared interests. We are also focused on training the next generation of researchers by reaching out to educators to make these tools available as part of curricula via workshops and webinars, and through widely applied systems such as iPlant and DNA Subway. Here we offer details of our progress. Presentation at Genome Informatics, Session (3) on Databases, Data Mining, Visualization, Ontologies and Curation. Authors: Monica C Munoz-Torres, Suzanna E. Lewis, Ian Holmes, Colin Diesh, Deepak Unni, Christine Elsik.

Mapping Genotype to Phenotype using Attribute Grammar, Laura Adam

madalladam

Reproducible method and benchmarking publishing for the data (and evidence) d...

GigaScience, BGI Hong Kong

Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...

Larry Smarr

Unit 11 OCR grading sheet

sezzanight

The Emerging Global Community of Microbial Metagenomics Researchers

Larry Smarr

Introduction to Web Apollo for the i5K pilot species.

Monica Munoz-Torres

Supporting researchers in the molecular life sciences Jeff Christiansen

ARDC

BEACON Images - Evolution in Action

Michigan State University College of Natural Science

Heidorn The Path to Enlightened Solutions for Biodiversity's Dark DataViBRANT...

Bryan Heidorn

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

FIDO Alliance

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Aggregage

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

PCI PIN Basics Webinar from the Controlcase Team

ControlCase

Securing your Kubernetes cluster_ a step-by-step guide to success !

KatiaHIMEUR1

Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster. However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks. In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.

Introduction to CHERI technology - Cybersecurity

mikeeftimakis1

Free Complete Python - A step towards Data Science

RinaMondal9

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

Recently uploaded (20)

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

Generative AI Deep Dive: Advancing from Proof of Concept to Production

GridMate - End to end testing is a critical piece to ensure quality and avoid...

DevOps and Testing slides at DASA Connect

National Security Agency - NSA mobile device best practices

GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...

UiPath Test Automation using UiPath Test Suite series, part 5

Essentials of Automations: The Art of Triggers and Actions in FME

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

FIDO Alliance Osaka Seminar: Overview.pdf

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

Encryption in Microsoft 365 - ExpertsLive Netherlands 2024

Microsoft - Power Platform_G.Aspiotis.pdf

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

PCI PIN Basics Webinar from the Controlcase Team

Securing your Kubernetes cluster_ a step-by-step guide to success !

Introduction to CHERI technology - Cybersecurity

Free Complete Python - A step towards Data Science

Epistemic Interaction - tuning interfaces to provide information for AI support

CUBS slideshow (Center for Unified Biometrics and Sensors)

1. University at BuffaloCenter for Unified Biometrics and SensorsMarch 2011

2. Overview Unique Capabilities Sponsors – Biometrics projects at CUBS Technology Transfer Record Current Leveraged Projects People – Faculty, Staff, Students Biometrics Community Leadership

3. Unique Capabilities Faculty strengths in multiple disciplines Behavioral Sciences, Social Issues Computer Vision, Visualization Chemical and Biological Sensors Pattern Recognition, Machine Learning Smart Environments, Pervasive Computing Spectroscopy Solid record of transferring of technology to field Large pool of current PhD students Growing pool of PhD alumni in industry Several current projects with industry

5. Defense Intelligence Agency (DIA)

6. Directorate of Central Intelligence (DCI)

7. National Endowment of Humanities (NEH)

8. National Science Foundation (NSF)

9. NYSTAR

10.

11. Current ProjectsLeveraged Anthropometry Cryptography Fingerprint Indexing Fusion Handwriting Forensics People Tracking Lip Reading, Gaze Tracking Sensors Soft Biometrics Web Security

12. Anthropometrics SKIN TONE

13. CryptographyCancelable Biometrics

14. Fingerprint Indexing Enrollment Phase Searching Phase

15. Fusion

16. Handwriting Forensics

17. Lip Reading, Gaze Tracking

18. Unobtrusive People Tracking Freedom from Continuous Surveillance RECOGNIZE REASON Evolutionary Recognition RETRIEVE Did Bob and Frank meet at the library yesterday? Given building map, occupants, schedules, sensor locations

19. SensorsSkin spectroscopy and “liveness”

20. Soft BiometricsAge Estimation

21. Soft BiometricsExpressions + = AU 6 AU 12 AU 6 & 12 + + = AU 1 AU 2 AU 4 AU 1, 2 & 4 + + = AU 1 AU 4 AU 15 AU 1, 4 & 15 FACS FEAR HAPPY ANGER SAD FEAR HAPPY SAD Facial Expression Manifold

22. Soft BiometricsEmotional States

23. Q: The suspect is male 1st Iteration Pruned Set Q: The suspect has a beard 2nd Iteration Pruned Set Q: The suspect wears spectacles 3rd Iteration SUSPECT Soft BiometricsSemantic Face Retrieval Original Set

24. Soft Biometrics Crash scene analysis

25. ? ? ? Web SecurityVerify humanness MACHINES FAIL Synthetic handwriting generator poses questions in varying writing styles English! HUMANS SUCCEED

26. PeopleFaculty Frank Bright SUNY Distinguished Professor Biological, Chemical Sensors VenuGovindaraju SUNY Distinguished Professor Machine Learning Director Mark Frank Professor Behavioral Sciences Raymond Fu Assistant Professor Computer Vision, Visualization Alex Cartwright Professor Spectroscopy, Photonics AtriRudra Assistant Professor Cryptography, Coding theory

27.

28. PeopleCurrent PhD students; Research topics Xi Cheng Biometric Fusion Gaurav Kumar Mobile Device Apps UtkarshPoruwal People Tracking ChetanRamaiah Writer Identification Manavender Reddy Gesture Recognition Ricardo N. Rodriguez Multimodal Fusion ArtiShivaram Mobile Device Apps SafwanWshah Arabic Handwriting Recognition Daekeun You Medical Analytics Yingbou Zhou Image Segmentation

29. Ph.D. Alumni (20)

30. Leadershipin Biometrics Community Program ChairCVPR Biometrics Workshop Series 2006-2011Program Co-ChairBiometrics: Theory, Applications, and Systems, BTAS 2007-2008General ChairAutomatic Identification Advanced Technologies AutoID 05Program CommitteeBTAS 2008-10, Biometric Symposium 2006-08, International Conference on Biometrics, 2007, SPIE Biometric Technology for Human Identification2009-10, International Joint Conference on Biometrics, 2011 IEEE Biometric Council Website Initiative 2011 Website Design, Construction, Hosting, and Maintenance

31. Contact VenuGovindaraju venu@cubs.buffalo.edu University at Buffalo State University of New York

CUBS slideshow (Center for Unified Biometrics and Sensors)

Recommended

Recommended

More Related Content

Similar to CUBS slideshow (Center for Unified Biometrics and Sensors)

Similar to CUBS slideshow (Center for Unified Biometrics and Sensors) (20)

Recently uploaded

Recently uploaded (20)

CUBS slideshow (Center for Unified Biometrics and Sensors)