Fall 2018

Friday, December 7, 12:10 PM
Packard Lab room 360
Houria Oudghiri
Visiting Professor
Computer Science Department
SUNY Polytechnic Institute
 
Thursday, December 6, 4:15 PM
Building C room 220
Scott Schaefer
Professor, Associate Department Head, and Director for Academics
Computer Science & Engineering Department
Texas A&M University
Digital Taxidermy: Bijective Parameterization with Free Boundaries
 
Monday, December 3, 12:10 PM
Packard Lab room 416
Kevin Lin
Graduate Student Instructor
Electrical Engineering and Computer Sciences Department
UC Berkeley
Inheritance
 
Thursday, November 15, 4:15 PM
Building C room 220
Dr. Munmun De Choudhury 
Assistant Professor
School of Interactive Computing
Georgia Tech
How Social Media Can Revolutionize Mental Health: Opportunities, Challenges, and Lessons Learned
 
Tuesday, November 13, 4:15 PM
Building C room 220
Michael Liebman
Director of Business Intelligence
Bloomberg LP
The Modern Data Warehouse
 
Thursday, November 8, 4:15 PM
Building C room 220
Dr. David Stracuzzi 
Principle Member of Technical Staff
Center for Computing Research
Sandia National Laboratories
The Role of Uncertainty Quantification in Machine Learning
Co-sponsored by the Institute for Data, Intelligent Systems, and Computation
 
Thursday, November 1, 4:10 PM
Neville Hall room 003
Selmer Bringsjord
Rensselaer Polytechnic Institute
How to / Not to Engineer Morally Correct Machines
Co-sponsored by the Cognitive Science Program
 
Wednesday, October 24, 4:15 PM
Packard Lab room 466
Dr. Jaap Suermondt 
Silicon Valley investor, advisor, and operational executive
INNOVATION AND GROWING A TECH BUSINESS: 
Why Silicon Valley continues to be special, and what we look for in startups
 
Thursday, October 18, 4:15 PM
Building C room 220
Xiangnan Kong
Assistant Professor - Computer Science Department
Worcester Polytechnic Institute
Towards Big Data Variety: From Social Networks to Brain Networks
 
Thursday, September 27, 4:15 PM
Building C room 115
Jerry Baulier
Vice President - Internet of Things Research & Development
SAS
Real-time streaming analytics with learning models for IOT and multi-phase analytics
 
 

SPRING 2018

 
Tuesday, April 17, 2:30 PM
Building C room 220
Dr. Jennifer W. Weller
NSF Program Officer
BIO Directorate, Division of Biological Infrastructure
Bioinformatics Funding at the National Science Foundation: The Advances in Biological Informatics Program
 
Thursday, April 5, 2:30 PM
Building C room 220
Dr. Barry Chen
Machine Learning researcher
Lawrence Livermore National Laboratory
Deep Learning for Multimodal Pattern Retrieval
 
Tuesday, March 27, Noon
Building C room 220
Dr. Terry Yoo
Head of the 3D Informatics Group in the Office of High Performance Computing and Communications
National Library of Medicine
Corridor Talk - Some straight and honest words from NIH
 
Tuesday, March 20, 4:30 PM
Building C room 220
Marc Wintjen
Big data architect and data visualization evangelist
Bloomberg LP 
Data modeling and visualization
 
 

FALL 2017

 
Thursday, November 16, 4:00 PM
Packard Lab 360
Biye Li 
Engineering Manager, Data Automation
Bloomberg LP
From Keyboards to Neural Networks
 
Monday, November 6, 4:00 PM
STEPS 101
Data X Fall Symposium 
TMI: The Privacy Risks of Social Media Addiction
 
Thursday, October 26, 4:00 PM
Packard Lab room 466
Dr. John Laird
John L. Tishman Professor of Engineering
University of Michigan
Interactive Task Learning: A Cognitive Architecture Approach
Co-sponsored with The Cognitive Science Program
 
Thursday, October 19, 4:00 PM
Packard Lab room 466
Dr. Jeffrey Hittinger
Computational Scientist 
Center for Applied Scientific Computing
Lawrence Livermore National Laboratory 
Making Every Bit Count: Variable Precision?
 
Thursday, October 12, 4:00 PM
Packard Lab room 466
Dr. Edward G. Amoroso
Chief Executive Officer 
TAG Cyber LLC
A Random Walk Through Cyber Security
 
Thursday, September 21, 4:00 PM
STEPS 210
Dr. Roberta Klatzky
Charles J. Queenan, Jr. Professor of Psychology
Carnegie Mellon University
Perception and Action in the Wild
Co-sponsored with The Cognitive Science Program
 
 

SPRING 2017

 
Wednesday, May 3, 9:00 AM
Williams Hall Roemmele Global Commons
Data X Symposium 
Found and Lost in Information: Perspectives from Marketing, Communication, and Computer Science
 
Tuesday, May 2, 4:00 PM
Packard Lab room 466
Data X Panel Session with Seton Hall Law School 
Intersecting Opportunities: Law, E-Discovery, and Computer Science
 
Wednesday, April 19, 4:00 PM
Packard Lab room 466
Dr. Jeffrey Skolnick
Director
Center for the Study of Systems Biology
Georgia Institute of Technology 
PROGNOSTIX: A pipeline for personalized diagnostics and drug treatments
 
Wednesday, April 12, 4:00 PM
Packard Lab room 466
Dr. Liangjie Hong
Head of Data Science
Etsy Inc.
GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees
 
Wednesday, March 29, 4:00 PM
STEPS 280 
Melissa Hanham
Senior Research Associate
James Martin Center for Nonproliferation Studies & META Lab 
Middlebury Institute of International Studies at Monterey 
North Korea’s Nuclear Capabilities & Open Source Data Analysis
 
Wednesday, March 8, 4:00 PM
Packard Lab 466 
Christina Garman
Ph.D. Candidate
Department of Computer Science 
Johns Hopkins University 
Securing Deployed Cryptographic Systems
 
Thursday, March 2, 4:00 PM
Packard Lab 466 
Dr. Heng Huang
Professor
Department of Computer Science and Engineering 
University of Texas at Arlington 
Large-Scale Machine Learning Algorithms with Applications in Imaging Genomics
 
Monday, February 27, 4:00 PM
Packard Lab 466 
Jing Li
Ph.D. Candidate
Department of Computer Science and Engineering 
Washington University in St. Louis 
Parallel Real-Time Systems for Latency-Critical Applications
 
Thursday, February 23, 4:00 PM
Packard Lab 360 
Ang Chen
Ph.D. Candidate
Department of Computer and Information Science 
University of Pennsylvania
Secure Diagnostics and Forensics with Network Provenance
 
Thursday, February 16, 4:00 PM
Packard Lab 466 
Dr. Roberto Palmieri
Research Assistant Professor
Bradley Department of Electrical and Computer Engineering 
Virginia Tech
Distributed Synchronization: One Problem, Different Deployments, Different Solutions
 
Monday, February 13, 4:00 PM
Packard Lab 466 
Tom Williams
Ph.D. Candidate
Computer Science and Cognitive Science Program
Tufts University 
Genuine Helpers: Enabling natural language capabilities for interactive robots
 
Thursday, February 9, 4:00 PM
Packard Lab 466 
Yanick Fratantonio
Ph.D. Candidate
Department of Computer Science
University of California, Santa Barbara
Program Analysis to Secure the Mobile Ecosystem
 
Wednesday, February 1, 4:00 PM
Packard Lab 466 
David Crandall
Associate Professor
School of Informatics and Computing 
Indiana University Bloomington 
Egocentric computer vision, for fun and science
 
 

FALL 2016

 
Monday, November 7, 4:00 PM
Packard Lab 466 
Joy Chakraborty
Distributed System Architect 
Bloomberg LP 
Data Analytics and Data Science Using Big Data Platforms
 
Thursday, October 6, 4:00 PM
Herbert A. Roemmele ’53 Global Commons, Williams Hall 
Florence D. Hudson
Senior Vice President and Chief Innovation Officer 
Internet2 
IT: The Endless Frontier
 
Monday, September 19, 4:00 PM
Packard Lab Room 466
Panos Ipeirotis
Professor and George A. Kellner Faculty Fellow
Department of Information, Operations, and Management Sciences
Leonard N. Stern School of Business, New York University
Targeted Crowdsourcing with a Billion (Potential) Users
 
Thursday, September 8, 4:00 PM
Packard Lab Room 466
Albert D. Diaz
Vice President, Data Center Group
Intel Corporation
Data Center: The Center of Possibility
 
 

SPRING 2016

 
Tuesday, May 3, 4:00 PM
Packard Lab 466
Dr. Jianying Hu, Distinguished Research Staff Member
and Program Director of Center for Computational Health 
IBM T. J. Watson Research Center 
Data Driven Healthcare Analytics
 
Thursday, April 28, 4:00 PM
Packard Lab 416
Dr. Joann J. Ordille, Senior Research Scientist
Avaya Labs
Emergency and Urgent Response Services: from Innovation to Impact
 
Monday, April 25, 4:00 PM
Packard Lab 466
Foster Provost, Professor
NYU Center for Data Science
Stern School of Business
New York University
The Predictive Power of Massive Data about our Fine-Grained Behavior
 
Wednesday, April 6, 4:00 PM
Packard Lab 508
Eric. P. S. Baumer, Research Associate
Cornell University
Good Friends and Bad Habits: Why it’s (Not) Easy to Quit Social Media
 
Monday, April 4, 4:00 PM
Packard Lab 466
Brent Harrison, Research Scientist
Georgia Tech
Using Human Data to Improve AI-Human Interaction
 
Tuesday, March 29, 4:00 PM
Packard Lab 466
Miaomiao Zhang, Postdoctoral Associate
MIT
CSAIL
Bayesian Models on Manifolds for Image Registration
and Statistical Shape Analysis
 
Thursday, March 24, 4:00 PM
Packard Lab 360
Yu Lin, Postdoctoral Fellow
Department of Computer Science and Engineering
University Of California, San Diego
Genome Assembly for Third-Generation Sequencing
 
Monday, March 21, 4:00 PM
Packard Lab 466
Ali Gholipour, Assistant Professor
Radiology 
Harvard Medical School
Motion-Robust Super-resolution Magnetic Resonance Imaging of Early Brain Development
 
Wednesday, March 9, 4:00 PM
Packard Lab 508
Tao B. Schardl, Ph.D. Candidate
MIT
CSAIL
Deterministic Parallel Random-Number Generation, Science-Based Performance Engineering, 
and the End of Moore's Law
 
Tuesday, March 8, 4:00 PM
Packard Lab 466
Florin Rusu, Assistant Professor
School of Engineering
University of California, Merced
GLADE: A Scalable Big Data Analytics System
 
Monday, March 7, 4:00 PM
Packard Lab 416
He Wang, Ph.D. Candidate
Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
I am a Mobile Device and I can Sense my User's Location
 
Monday, February 29, 4:00 PM
Packard Lab 466
Arti Ramesh, Ph.D. Candidate
Department of Computer Science
University of Maryland, College Park
A Probabilistic Approach to Modeling Socio-Behavioral Interactions
 
Monday, February 22, 4:00 PM
Packard Lab 466
William Rand, Assistant Professor & Director
Center for Complexity in Business
The Robert H. Smith School of Business 
University of Maryland, College Park
Using Trace Data, Social Networks, and Agent-Based Modeling to Understand Information Diffusion
 
Thursday, February 18, 4:00 PM
STEPS 101
Sihong Xie, Ph.D. Candidate
Department of Computer Science
University of Illinois at Chicago
Decision Fusion via Consensus Maximization: Synthesizing the power of multiple sources
 
Monday, February 15, 4:00 PM
Packard Lab 466
Allen Lavoie, Ph.D. Candidate
Department of Computer Science
Washington University in St. Louis
Quantifying Incentives in Collective Intelligence
 
Wednesday, February 10, 4:00 PM
Packard Lab 466
Yanjie Fu, Ph.D. Candidate
Management Science and Information Systems Department
Rutgers University
Real Estate Ranking: from Black Magic to Data Science
 
Monday, February 8, 3:00 PM
Packard Lab 466
Richard Eisenberg, Ph.D. Candidate
Department of Computer and Information Science
University of Pennsylvania
Type-Safe and Sound in an Inconsistent World
 
Thursday, February 4, 4:00 PM
Packard Lab 466
Pat Langley, Director
Institute for the Study of Learning and Expertise
Department of Computer Science, University of Auckland
Computational Discovery of Scientific Models: Guiding Search with Knowledge and Data
 
Wednesday, February 3, 4:00 PM
Packard Lab 466
Nathalie Japkowicz, Professor
School of Electrical Engineering and Computer Science 
University of Ottawa
Class Imbalance and Novelty Detection in Defense and Security: A case study on monitoring 
threats to public safety using Gamma-ray spectroscopy
 
Friday, January 29, 4:00 PM
Packard Lab 416
William Regli, Professor of Computer & Information Science
Drexel University
Engineering Informatics: Transforming Design and Manufacturing
 
Thursday, January 28, 4:00 PM
Packard Lab 466
Shouling Ji, Research Faculty
School of Electrical and Computer Engineering
Georgia Institute of Technology
Evaluating the Security of Anonymized Big Graph/Structural Data
 
Wednesday, January 27, 4:00 PM
Packard Lab 466
Alex J. Bowers, Associate Professor of Education Leadership
Teachers College, Columbia University
Organization-Level Data Analytics: How Data Science can Inform K-12 
School Leadership Evidence-Based Improvement Cycles
 
 

FALL 2015

 
Thursday, December 3, 3:00 PM
STEPS 101
Anwar Walid, Distinguished Member of Technical Staff
Mathematics of Networks and Systems Research Department, Bell Labs 
Multipath TCP Congestion Control: from Theory to Implementation
 
Tuesday, November 24, 4:00 PM
Packard Lab 466
Lisa Zhang
Distinguished Staff Member
Bell Labs, Alcatel-Lucent
Utility Optimization for Multi-Transmitter Wireless Data Systems
 
Thursday, November 19, 4:00 PM
Packard Lab 466
Professor John Stasko
School of Interactive Computing
Georgia Institute of Technology
The Value of Visualization for Exploring and Understanding Data
 
Thursday, September 24, 4:00 PM
Packard Lab 258
Gordon Wilfong, Distinguished Member of Technical Staff
Mathematics of Network Systems group, Bell Labs 
Optimal Path Encoding for SDN
 
 

SPRING 2015

 
Thursday, April 30, 3:00 PM 
STEPS 101 
Dr. Stephen McCamant, Assistant Professor 
Department of Computer Science and Engineering 
University of Minnesota 
Recovering structure from binary executables for security analysis
 
Thursday, April 16, 3:00 PM 
STEPS 101 
Dr. William Craelius, Professor 
Department of Biomedical Engineering 
Rutgers University 
Matching the prosthetic interface to the user
 
Wednesday, April 15, 4:00 PM
Packard Lab Room 466
Dr. Henry S. Baird
Computer Science and Engineering Department
Lehigh University
How to Work with Creative People
 
Friday, February 27, 3:10 PM
STEPS Room 101
Dr. Manish Singh
Psychology and Center for Cognitive Science
Rutgers University
Perceptual Organization of Shape: the Role of Parts and Axes
 
Packard Lab Room 101
Mr. Mark Graff
President/CEO
TellAGraff, LLC 
Cyber Security Mistakes I Have Known -- And How They Endanger Our World
 
 

FALL 2014

 
Tuesday, December 2, 2:35 PM
Packard Lab Room 466
Don Holloway
Vice President of Strategic Accounts 
TEOCO
Net Neutrality - An Inside View of the Network Realities Underneath the Policies
 
Thursday, October 16, 4:00 PM
Packard Lab Room 466
Dr. Limin Jia, Assistant Research Professor
Electrical and Computer Engineering Department and
Information Networking Institute
Carnegie Mellon University
Proving systems secure against adversaries
 
 

SPRING 2014

 
Tuesday, April 22, 4:00 PM
Packard Lab Room 466
Dr. Jon Bentley
Models of Research: Papers, Patents and Products
 
Thursday, March 27, 12:00 PM
Packard Lab Room 466
Dr. Steven Reiss, Professor
Computer Science Department
Brown University
Searching for the User Interface: First Steps
 
Wednesday, March 26, 4:00 PM
Packard Lab Room 466
Dr. Luc Vincent, Director, Engineering
Google, Inc.
Google Street View: Overview & Computer Vision Challenges
 
Thursday, March 20, 4:00 PM
Packard Lab Room 466
Hongning Wang, Ph.D. Candidate
Department of Computer Science
University of Illinois at Champaign-Urbana
Human-centric Big Data Mining: Humans as both Producers and Consumers of Big Data
 
Monday, March 17, 4:00 PM
Packard Lab Room 466
Tamara Denning, Ph.D. Candidate
University of Washington 
Department of Computer Science and Engineering
Human-Centered Computer Security: Beyond the Desktop
 
Monday, February 24, 4:00 PM
Packard Lab Room 466
Ariel Rabkin, Postdoctoral Researcher 
Princeton University
Computer Science Department
How Big Data Processing Can Cope with Limited Bandwidth and Complex Code
 
Tuesday, February 18, 4:00 PM
Packard Lab Room 466
Yinqian Zhang, Ph.D. Candidate 
University of North Carolina - Chapel Hill 
Computer Science Department
Security Threats and Defenses in Multi-Tenant Public Clouds
 
Thursday, January 16, 4:00 PM
Packard Lab Room 466
Willy R. Wriggers, Ph.D. 
Member, D. E. Shaw Research, New York
Associate Professor of Computational Biomedicine and Biophysics,
Weill Medical College of Cornell University
From Atoms to Living Organisms: Emergent Complexity of Multiscale Computational Modeling
 
 

FALL 2013

 
Wednesday, December 4, 4:00 PM
Packard Lab Room 466
Anthony Cowley, Ph.D. Candidate
GRASP Lab, University of Pennsylvania
Rendering Solutions to Vision Problems
 
Tuesday, December 3, 4:00 PM
Packard Lab Room 466
I-Ting Angelina Lee, Postdoctoral Associate
Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT
Memory Abstractions for Parallel Programming
 
Tuesday, December 3, 4:00 PM
Packard Lab Room 466
I-Ting Angelina Lee, Postdoctoral Associate
Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT
Memory Abstractions for Parallel Programming
 
Friday, November 22, 12:00PM
Packard Lab Room 466
Christopher G. Chute, M.D., Dr. P.H.
Professor of Medical Informatics
Mayo Clinic
Big Data meets Healthcare: The case for comparability and consistency
 
Thursday, November 14, 4:00 PM
Packard Lab Room 466
Xiaodong Zhang, Professor 
Department of Computer Science and Engineering
The Ohio State University 
Overcoming Major Hurdles of Paralleling in Big Data Analytics 
 
Tuesday, October 29, 4:00 PM
Lewis Lab Room 316
R. Michael Young, Professor
Department of Computer Science
North Carolina State University
Building a science of narrative: Computational contributions to the study of stories and their telling
 
Wednesday, October 23, 4:00 PM
Packard Lab Room 208
Gordon Wilfong, Distinguished Member of Technical Staff
Mathematics of Network Systems group, Bell Labs 
Modeling Routing Problems as Graph Orienting Problems
 
Friday, September 13, 12:00 PM
Packard Lab Room 466
Paul Oh, Professor and Associate Department Head
Department of Mechanical Engineering and Mechanics
Drexel University
Robotics: Passing the Tipping Point
 
 

 SPRING 2013

 
Wednesday, July 17, 2:00 PM
Packard Lab Room 466
Philippe Cudre-Mauroux, Director at eXascale Infolab
Associate Professor, Department of Informatics
University of Fribourg, Switzerland
Entity-Centric Data Management
 
Friday, May 24, 11:00 AM
Packard Lab Room 466
Archan Misra, Associate Professor
School of Information Systems
Singapore Management University
The LiveLabs Platform & Advances in Real-time Mobile Sensing/Analytics
 
Tuesday, April 23, 4:00 PM
Packard Lab Room 466
Dinghao Wu, Assistant Professor
College of Information Sciences and Technology
The Pennsylvania State University
Lock-free Concurrent Security Monitoring
 
Tuesday, April 9, 4:00 PM
Packard Lab Room 466
Jianying Hu, Ph.D., Manager, Healthcare Analytics Research
IBM T. J. Watson Research Center
Data Driven Analytics for Personalized Healthcare
 
Monday, April 1, 4:00 PM
Packard Lab, Room 466
Erin Solovey, Postdoctoral Fellow
Humans and Automation Lab (HAL)
MIT
Enhancing Interactive Systems with Real-time Brain Input
 
Wednesday, March 27, 3:00 PM
Packard Lab, Room 466
Munmun De Choudhury, Postdoctoral Researcher
Microsoft Research, Redmond
Mining Social Behavior Online: Towards Improved Health and Wellness
 
Monday, March 25, 4:00 PM
Packard Lab, Room 466
Jeff Huang, Ph.D. Candidate
Information Science
University of Washington
Interaction Data in Search and Beyond: By People, For People
 
Monday, March 18, 12:00 PM
Packard Lab, Room 466
Eugene Agichtein, Associate Professor
Department of Mathematics and Computer Science
Emory University
Mining Online User Behavior: from Improving Search to Detecting Cognitive Impairment
 
Monday, February 11, 4:10 PM
Whitaker Auditorium
Robert Kahn, Co-Founder of the Internet
"Past, Present, and Future of the Internet"
Co-sponsored by the LU/UN Partnership, Teaching, Learning and Technology, LTS and the Global Union
 
Friday, February 1, 3:00 PM
Packard Lab, Room 416
Li-Ching Lee, PhD
Departments of Epidemiology and Mental Health
John Hopkins Bloomberg School of Public Health
Epidemiologic Research and Findings on Autism Spectrum Disorders: An Update
 
Wednesday, January 23, 4:00 PM - rescheduled from October 31
Packard Lab, Room 466
Trent Jaeger, Associate Professor
Department of Computer Science and Engineering
The Pennsylvania State University
Adversary Accessibility: The Key to Finding and Preventing Vulnerabilities
 
 

 FALL 2012

 
Monday, December 10, 4:00 PM
Packard Lab, Room 466
Christian Wietfeld,  Professor, Head of the Communication Networks Institute
TU Dortmund University, Germany 
Cognitive Networking for Unmanned Aerial Vehicle Swarms
 
Tuesday, November 27, 4:00 PM
Packard Lab, Room 466
Steven Fortune, Technical Manager of the Algorithms Research Group
Bell Labs, Alcatel-Lucent
Towards Massively Scalable IP Routers
 
Wednesday, October 31, 2:00 PM - POSTPONED
Packard Lab, Room 416
Trent Jaeger, Associate Professor
Department of Computer Science and Engineering
The Pennsylvania State University
Adversary Accessibility: The Key to Finding and Preventing Vulnerabilities
 
Tuesday, October 23, 4:00 PM
Packard Lab Room 466
Edwin J. Kay Retirement
 
Monday, October 15, 4:10 PM
Packard Lab Room 466
Dr. Tom Mitchell, Carnegie Mellon University/Machine Learning
Neural Representations of World Meanings
Co-sponsored by Integrative Cognitive Neuroscience Cluster Group, Cognitive Science Program, Department of Economics and Department of Psychology
 
 
 
 
SPRING 2012 SEMINARS AND PRESENTATIONS
Wednesday, May 2, 9:00 AM - 4:30 PM 
Linderman Library Room 200
Donald J. Hillman Retirement Symposium
 
Tuesday, April 24, 4:00 PM
Packard Lab 416
Lynn Stein, Professor of Computer and Cognitive Science 
and the Director of the Computers and Cognition Laboratory
Franklin W. Olin College of Engineering 
Challenging the Computational Metaphor: Implications for How We Think
 
Thursday, March 29, 4:00 PM 
STEPS 101
Dana Nau, Professor
Department of Computer Science and the Institute for Systems Research
University of Maryland
Building and using game-theoretic agent models from observed behavior
 
Monday, March 26, 4:00 PM
Packard Lab 416
Daniel Mellinger, GRASP Lab 
University of Pennsylvania
Control Methods for Quadrotor Helicopters
 
Wednesday, March 20, 4:00 PM
STEPS 101
Lydia E. Kavraki, Harding Professor of Computer Science and 
Professor of Bioengineering
Rice University
Motion Planning for Physical Systems 
 
Wednesday, March 14, 4:00 PM
Packard Lab 466
Richard Zanibbi, Assistant Professor, Department of Computer Science
Rochester Institute of Technology
Recent Developments in Math Recognition and Retrieval
 
 

FALL 2011

 
Thursday, December 1, 4:00 PM
STEPS 101
Lillian (Boots) Cassel, Professor, Computing Sciences
Villanova University
No Discipline is an Island: Where Computing and Other Disciplines Meet
 
Thursday, November 17, 4:00 PM
Packard Lab 466
Kostas Daniilidis, Professor, Computer and Information Science
University of Pennsylvania
Shape-based object recognition for manipulation and navigation
 
Tuesday, November 8, 4:00 PM
STEPS 101
Tina Eliassi-Rad, Assistant Professor, Computer Science Department
Rutgers University 
Learning and Mining in Large-Scale Complex Network
 
Wednesday, September 7, 4:00 PM
Packard Lab 466
Rachel Greenstadt, Assistant Professor, Department of Computer Science
Drexel University
Privacy & Stylometry: Exploring the Limitations and Potential
of Automated Authorship Recognition
 
Tuesday, September 6, 4:00 PM
Packard Lab 466
Ed Kay, Professor, Department of Computer Science and Engineering
Lehigh University
A Fulbright Year in Africa
 
 

SPRING 2011

 
Tuesday, April 19, 4:00 PM
Packard Lab 466
Bart Lamiroy, Nancy Université - Institut National Polytechnique de Lorraine
Visiting Scientist, Lehigh University
The DAE Project: A Next-Generation Framework for Experimental Pattern 
Recognition Research
 
Monday, March 28, 4:00 PM
Packard Lab 466
James S. Duncan, Ebenezer K. Hunt Professor of Biomedical Engineering
Professor of Diagnostic Radiology and Electrical Engineering
Yale University
Model-Based Strategies for Biomedical Image Analysis
 
Wednesday, March 23, 4:00 PM (rescheduled from February 2)
Packard Lab 466
Mary Fernández,  Executive Director, Distributed Computing Research, 
AT&T Labs Research 
Infrastructure for the Future Cloud
 
Wednesday, March 16, 4:00 PM
Packard Lab 466
Amarda Shehu, Assistant Professor, Department of Computer Science, 
George Mason University
A Probabilistic Framework for the Characterization of the Protein Native State
 
Thursday, February 10, 4:00 PM
Packard Lab 466
Jim Hendler, Tetherless World Professor of Computer and Cognitive Science, 
and the Assistant Dean for Information Technology and Web Science, 
Rensselaer Polytechnic Institute
We are the Web: The future of the social machine 
Co-sponsored by the Cognitive Science Program
 
© 2014-2016 Computer Science and Engineering, P.C. Rossin College of Engineering & Applied Science, Lehigh University, Bethlehem PA 18015.