Computer and Information Science

CIS Event Speaker Archive

Fall 2024

Date Speaker Institution Talk Title
09/12/2024 – Distinguished Lecturer Robert Kleinberg Computer Science Dept., Cornell University “Trustworthy Forecasting Algorithms”
09/17/2024 – Colloquium Speaker Gordon Wetzstein EE/CS Dept. Stanford University “Recent Advances in Spatial Generative AI”
09/19/2024 – Distinguished Lecturer Gaurav Sukhatme  Computer Science and Electrical & Computer Engineering, University of Southern California “Learning Controllers for multi-robot Teams”
09/24/2024 – Distinguished Lecturer Oded Regev Courant Institute of Mathematical Sciences of New York University “Machine learning for discovery: deciphering RNA splicing logic”
10/08/2024 – Special Industry Colloquium Vijay Krishnan Founder and CTO of Turing “Improving Foundation Models Using Human Data”
10/10/2024 – Distinguished Lecturer Yisong Yue Computing and Mathematical Sciences California Institute of Technology “Neurosymbolic AI for Safety-Critical Agile Control”
10/15/2024 – Distinguished Lecturer Hakim Weatherspoon Cornell Institute for Digital Agriculture “Optimal Oblivious Reconfigurable Networks”
10/22/2024 – Distinguished Lecturer Krzysztof Gajos Computer Science at the Harvard Paulson School of Engineering and Applied Sciences “How to Design Useful and Usable AI-Powered Applications”
10/24/2024 – Grace Hopper Distinguished Lecturer Hanna Hajishirzi Allen School of Computer Science and Engineering, University of Washington
and a Senior Director of NLP at AI2		 “OLMo: Accelerating the Science of Language Modeling”
10/29/2024 – Colloquium Speaker Ronghui Gu Computer Science at Columbia University “Scaling Machine-Checkable Systems verification in Coq”
11/07/2024 – Distinguished Lecturer Michael Hicks Senior Principal Scientist at Amazon Web Services “Cedar: A language for expressing fast, safe, and fine-grained authorization policies”
11/19/2024 – Distinguished Lecturer Karrie Karahalios Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign “Just Infrastructures”
11/20/2024 – Special Industry Colloquium Jason Wei AI researcher, San Francisco, CA “Scaling Paradigms for Large Language Models”

Spring 2024

Date Speaker Institution Talk Title
01/30/2024 – CIS Colloquium James Bartusek University of California, Berkeley “Obfuscation of Quantum Computation”
01/31/2024 – ASSET Chudi Zhong Computer Science Dept., Duke University “Towards A New Frontier of Trustworthy AI: Interpretable Machine Learning Algorithms that Produce All Good Models”
02/06/2024 – CIS Colloquium Bailey Flanigan Computer Science Dept., Carnegie Mellon University “How Algorithms Can Support Deliberative Democracy”
02/07/2024 – ASSET Sarah Cen Electrical Engineering and Computer Science Department, MIT “Paths to AI Accountability”
02/08/2024 – CIS Colloquium Sewon Min Natural Language Process Group, University of Washington “Rethinking Data Use in Large Language Models”
02/15/2024 – CIS Colloquium Tim Dettmers Computer Science Dept., University of Washington “Accessible Foundation Models: Systems, Algorithms, and Science”
02/20/2024 – CIS Colloquium Jiatao Gu Researcher at Apple AI/ML (MLR) “Towards Flexible, Scalable, and Knowledgeable Generative Intelligence”
02/21/2024 – ESE/CIS ASSET Max Simchowitz Robot Locomotion Group at MIT CSAIL “Mathematical Foundations for Physical Agents”
02/27/2024 – CIS Colloquium Sherry Yang Sr. Researcher Scientist at Google DeepMind and Comp. Sci. Dept. University of California, Berkeley “Decision Making with Internet-Scale Knowledge”
02/29/2024 – CIS Colloquium Emma Dauterman EECS Dept. University of California, Berkeley “Secure systems from insecure components”
03/12/2024 – CIS Colloquium Neil Zhao Computer Science at the University of Illinois Urbana-Champaign “Modern Clouds: Side-Channel Attacks and Defenses”
03/13/2024 – CIS/IDEAS ASSET Andrew Ilyas Computer Science, MIT “Making Machine Learning Predictability Reliable”
03/14/2024 – CIS Colloquium Abhishek Shetty Dept. of Computer Science, University of California, Berkeley “Frameworks for Efficient Algorithms for Learning: Robustness and Data Compression”
03/19/2024 – CIS Colloquium Yilun Du EECS, MIT “Generalizing Outside the Training Distribution through Compositional Generation”
03/20/2024 – CIS/IDEAS ASSET Micah Goldblum Postdoctoral Research Fellow at New York University “Bridging the Gap Between Deep Learning Theory and Practice”
03/21/2024 – CIS Colloquium Praneeth Karimireddy Computer Science Dept., University of California, Berkeley “Building Planetary-Scale Collaborative Intelligence”
03/26/2024 – CIS Colloquium Zhuohan Li Computer Science Dept., University of California, Berkeley “Empowering Large Language Models with Efficient and Automated Systems”
03/27/2024 – CIS Colloquium Francis Y Yan Senior Researcher at Microsoft Research “Practical Machine Learning for Networked Systems”
03/28/2024 – CIS Colloquium Anwar Hithnawi Computer Science Dept. ETH, Zurich “Privacy-Preserving Systems for a Data-Driven World”
04/02/2024 – CIS/IDEAS ASSET Alexander Tong Postdoctoral Researcher at Mila, Montreal “Flow Matching and Optimal Transport with Applications to Cell Trajectories and Protein Design”
04/03/2024 – CIS/IDEAS ASSET Elan Rosenfeld Computer Science and Statistics & Machine Learning, Carnegie Mellon University “Building a Foundation for Trustworthy Machine Learning”

Fall 2023

Date Speaker Institution Talk Title
10/10/2023 Michael I. Jordan University of California, Berkeley An Alternative View on AI:  Collaborative Learning, Incentives, and Social Welfare
10/17/2023 Moinuddin Qureshi Computer Science at the Georgia Institute of Technology Reliable Quantum Computing Needs Intelligent Software and Hardware
10/31/2023 Larry Zitnick Fundamental AI Research Team at Meta Modeling Atoms to Address Our Climate Crisis
11/09/2023 David Forsyth University of Illinois Urbana-Champaign “Intrinsic images, lighting and relighting without any labelling”
11/14/2023 Zhiyi Huang Computer Science Dept., University of Hong Kong “Edge-Weighted Online Bipartite Matching”
11/28/2023 Thomas Ristenpart  Associate Professor at Cornell Tech,Computer Science Dept., Cornell University “Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging” 
11/30/2023 Dr. Mubarak Shah Center for Research in Computer Visions at University of Central Florida “Diffusion Models in Computer Vision”

 

Spring 2023

Date Speaker Institution Talk Title
02/02/2023 Nicholas Spooner University of Warwick, UK “Proofs, Cryptography and Quantum Information”
02/09/2023 Riccardo Paccagnella Computer Science at the University of Illinois Urbana-Champaign “Software Security Challenges in the Era of Modern Hardware”
02/14/2023 Sam Kumar Computer Science at the University of California, Berkeley “Rethinking System Design for Expressive Cryptography”
02/15/2023 Ethan Ordentlich Electrical Engineering and Computer Science at the University of California, Berkeley “Methods of Data Lookup with Hashing”
02/16/2023 Nicole Immorlica Senior Researcher at Microsoft, New England “Birds of a Feather Flock Together: How Homophily Leads to Segregation, Inequality, and Inefficiency and What We Can Do About It”
02/21/2023 Akshayaram Srinivasan School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai “Secure Computation with Minimal Interaction”
02/23/2023 Sunoo Park Columbia University and Columbia Law School “Cryptography, Security, and Law”
02/28/2023 Nirvan Tyagi Computer Science at Cornell University “Privacy-Preserving Accountability Online”
03/02/2023 Michael Kim Miller Institute for Basic Research in Science at Stanford University “Foundations of Responsible Machine Learning”
03/14/2023 Stephanie Wang Electrical Engineering and Computer Science at the University of California, Berkeley “The Design of a General-Purpose Distributed Execution System”
03/16/2023 Venkat Arun CSAIL at the Massachusetts Institute of Technology “Designing Provably Performant Networked Systems”
03/21/2023 Max Willsey Computer Science and Engineering at the University of Washington “E-Graphs for Next-Gen Programming Language Tools”
03/28/2023 Colin Raffel Computer Science, University of North Carolina, Chapel Hill “Collaborative, Communal, & Continual Machine Learning”

Fall 2022

Date Speaker Institution Talk Title
09/08/2022 Elette Boyle Associate Professor, Reichman University (Israel) and Senior Scientist, Reichman University (Israel) & NTT Research
09/20/2022 Sorin Lerner Professor and Department Chair, Computer Science & Engineering, University of California, San Diego “Live Programming and Programming by Example: Better Together”
09/30/2022 Matt Sinclair Professor, Computer Science Dept. University of Wisconsin-Madison and Visiting Research Scholar at AMD Research “Future Heterogeneous Systems Need More First-Class Citizens”
10/18/2022 Constantinos Daskalakis Professor, Electrical Engineering and Computer Science, MIT “Equilibrium Complexity and Deep Learning”
10/22/2022 Paul Resnick Professor and Associate Dean, School of Information, University of Michigan “Rater Equivalence: An Interpretable Measure of Classifier Accuracy Against Human Labels”
10/25/2022 Tim Roughgarden Professor, Computer Science, Data Science Inst. at Cornell University “The Long Arm of Theoretical Computer Science: A Case Study in Blockchains/Web3″
10/27/2022 Srini Devadas Professor, Electrical Engineering and Computer Science, MIT “Designing Hardware for Cryptography and Cryptography for Hardware”
11/01/2022 Abhinav Gupta Associate Professor, The Robotics Institution, CMU “Rich Babies, Poor Robots: towards rich sensing, continuous data and multiple environments.”
11/15/2022 Kyunghyun Cho Associate Professor, Computer Science and Center for Data Science, New York University “Generative multitask learning mitigates target-causing confounding”
12/08/2022 Duncan Callaway Associate Professor of Energy and Resources at the University of California, Berkeley “Exploring the role of scientific machine learning in electric power system decarbonization”

Fall 2021

Date Speaker Institution Talk Title
10/12/2021

Yejin Choi

 School of Computer Science and Engineering, University of Washington

“David V.S. Goliath: the Art of Leaderboarding in the Era of Extreme-Scale Neural Models”
11/02/2021

Jelani Nelson

 School of Electrical Engineering and Computer Science, University of California, Berkeley “Sketching Algorithms”
11/09/2021

Serdar Kadıoğlu

 Brown University 

“Optimization in Practice”
11/23/2021 Fei-Fei Li School of Computer Science, McGill University and Mila “Tackling climate change with machine learning” 
12/02/2021 Noam Auslander Molecular & Cellular Oncogenesis Program, Wistar Institute Cancer Center “Modeling cancer progression with neural networks”
12/07/2021 Carmela Troncoso EPFL Switzerland,   Spring Lab  “Synthetic Data: Anonymisation Groundhog Day”

Spring 2021

Date Speaker Institution Talk Title
01/19/2021 Fransescka Xhakaj Human-Computer Interaction Institute School of Computer Science, Carnegie Mellon University “Hash Tables Lecture”
02/04/2021

Suraj Rampure

 Electrical Engineering and Computer Science, University of California, Berkeley  “What is a line of ‘best’ fit?: A framework for building predictive models”
02/16/2021 Alekh Agarwal Principal Research Manager, Microsoft  “Structural Foundations of Efficient Reinforcement Learning”
02/17/2021 Andrew Head Computer Science Department, University of California, Berkeley “IDEs for Ideas”
02/18/2021 Akshitha Sriraman Computer Science and Engineering, University of Michigan “Enabling Hyperscale Web Services”
02/23/2021 Aayush Jain Computer Science Department, University of California, Los Angeles “Provably Secure Indistinguishability Obfuscation”
02/24/2021 Anna Fariha College of Information and Computer Science, University of Massachusetts, Amherst  “Enhancing Usability and Explainability of Data Systems”
02/25/2021 Riad Wahby Computer Science Department, Stanford University “Probabilistic proofs: theory, hardware, and everything in between”
03/02/2021 Fraser Brown  Computer Science Department, Stanford University  “Exterminating bugs in real systems”
03/03/2021 Sanmi Koyej Department of Computer Science, University of Illinois at Urbana-Champaign “The Measurement and Mismeasurement of Trustworthy ML”
03/04/2021  Yongshan Ding Department of Computer Information Science, University of Chicago “Architecting Quantum Computing Systems in the Presence of Noise”
03/09/2021 Ben Fisch Computer Science Department, Stanford University “Proof systems for governance, transparency, and privacy”
03/16/2021  Amy Pavel  Computer Science Department, Carnegie Mellon University “Human-AI Systems for Making Video Useful”
03/18/2021 Danaë Metaxa Computer Science Department, Stanford University “Bias and Representation in Sociotechnical Systems”
03/23/2021 Kexin Rong Computer Science Department, Stanford University  “Prioritizing Computation and Analyst Resources in Large-scale Data Analytics”
03/25/2021 Wengong Jin Computer Science and Artificial Intelligence, MIT CSAIL  “Graph representation learning for drug discovery”
03/30/2021 Mingmin Zhao Department of Electrical Engineering and Computer Science, MIT “Wireless Systems that See the Invisible with Machine Learning: Through-Wall Vision, Emotion Recognition, and Health Monitoring”
03/31/2021 Makrand Sinha Centrum Wiskunde & Informatica, National Research Institute for Mathematics and Computer Science Amsterdam “Communication Complexity, Quantum Computing and Optimization: New Connections and Insights”
04/01/2021 Caroline Lemieux Computer Science Department, University of California, Berkeley “Expanding the Reach of Fuzzing”
04/06/2021 Dylan Foster Institute for Foundations of Data Science, MIT “Bridging Learning and Decision Making”
04/07/2021 Toby Li Human-Computer Interaction Institute, Carnegie Mellon University “Human-Centered Interactive Systems for Configuring, Extending, and Developing AI Applications”
04/08/2021 Bryan Wilder Computer Science, Harvard University “AI for Population Health: Melding Data and Algorithms on Networks”
04/14/2021 Aniket Bera Department of Computer Science, University of Maryland at College Park “Digital humans that move, interact, express, and feel, just like us!”
04/15/2021 Amy Zhang McGill University and the Mila Institute “Exploiting latent structure and bisimulation metrics for better generalization in reinforcement learning”

Fall 2020

Date Speaker Institution Talk Title
09/08/2020 Deva Ramanan Robotics Institute, Carnegie Mellon University “Embodied Perception in-the-wild”
09/15/2020

Adam Finkelstein

 Computer Science Dept., Princeton University “Recovering, manipulating and enhancing recorded speech (1905-2020)”
09/22/2020 Michael Carbin Electrical Engineering and Computer Science Dept., MIT “Engineering Approximate Computations”
09/29/2020 Adrian Perrig Computer Science Dept., ETH Zurich “Experiencing a New Internet Architecture”
10/06/2020 Christos Papadimtriou Computer Science Dept., Columbia University “Language, Brain, and Computation”
10/20/2020 Umesh Vazirani Electrical Engineering and Computer Science Dept.
University of California, Berkeley		 “Theoretical Reflections on Quantum Supremacy”
10/27/2020 Joseph Gonzalez Dept. of Electrical Engineering and Computer Science
University of California, Berkeley		 “Advances in Machine Learning Systems Research”
11/10/2020 Amy J. Ko Dept. of Computer Science and Engineering, University of Washington “Critical Computing Education”
11/12/2020 Magdalena Balazinska School of Computer Science and Engineering, University of Washington “Video Data Management: From Data Models to Data Storage and Benchmarking”
12/01/2020 Yiling Chen Computer Science Dept., Harvard University  “Challenges of Incorporating Algorithms into Decision Making: Fairness, Welfare and Disparate Interactions”
12/08/2020 Mirella Lapata Institute for Language, Cognition and Computation
School of Informatics, University of Edinburgh		 “Automatic Movie Analysis and Summarization via Turning Point Identification”

Spring 2020

Date Speaker Institution Talk Title
01/21/2020 Arvind Krishnamurthy Professor of Computer Science and Engineering
University of Washington		 “Networked Systems in the Era of Programmable Dataplanes”
02/11/2020

Dimitrios Skarlatos

 Computer Science Department
University of Illinois at
Urbana-Champaign		 “Rethinking Operating System and Hardware Abstractions for Good and Evil”
02/13/2020 Sharath Chandra Guntuka School of Medicine
University of Pennsylvania		 “User Generated Content: Opportunities to Inform Healthcare”
02/19/2020 Maia Jacobs Center for Research on Computation and Society
Harvard University		 “One Size Doesn’t Fit Anyone: Tailoring Digital Tools for Personal Health Journeys”
02/27/2020 Jacob Gardner Uber AI Labs San Francisco ” Risk-Aware Machine Learning at Scale”
03/03/2020 Paul Grubbs Dept. of Computer Science
Cornell University		 “Breaking and Building End-to-End Encrypted Systems”
03/05/2020 Saugata Ghose Electrical and Computer Engineering
Carnegie Mellon University		 “Reducing Errors in Quantum Computation via Program Transformation”
03/18/2020 Dylan Hadfield-Menell Computer Science Dept.
University of California, Berkeley		 “The Value Alignment Problem in Artificial Intelligence”
03/19/2020 Adji Bousso Dieng Department of Statistics
Columbia University		 “Deep Probabilistic Graphical Modeling”
03/24/2020 Sara Achour Department of Computer Science
MIT		 “New Compilation Techniques for Reconfigurable Analog Devices”
03/25/2020 Qian Yang
 Human-Computer Interaction Institute
Carnegie Mellon University
 ” Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

Fall 2019

Date Speaker Institution Talk Title
9/20/2019 Ron Baecker Emeritus Professor of Computer Science and Bell Chair in Human-Computer Interaction, University of Toronto “What Society Must Require from AI”
10/03/2019 Eitan Grinspun Computer Science Department, Columbia University “A Geometric Perspective on Computing Motion”
10/22/2019 Eva Tardos Computer Science Department, Cornell  University “Learning in dynamic environments”
11/05/2019 Mike Hicks Department of Computer Science, University of Maryland “Contesting Secure Development to Understand Security Mistakes”
11/12/2019 Dan Garcia Electrical Engineering and Computer Science Department, University of California, Berkeley “Achieving CSforALL through the Beauty and Joy of Computing (BJC)”
11/14/2019 Grace Hopper Speaker
Rebecca Mercuri		 Founder of Notable Software, Inc “A 2020 Vision of U.S. Election Security”
11/19/2019 Moinuddin Qureshi Electrical and Computer Engineering at the Georgia
Institute of Technology.		 “Reducing Errors in Quantum Computation via Program Transformation”
11/21/2019 Ari Juels Computer Science Department, Cornell University and Jacobs Technion-Cornell Institute “Flash Boys 2.0: Frontrunning. Transaction Reordering, and Consensus Instability in Decentralized Exchanges”
12/05/2019 Rada Milhalcia Electrical Engineering and Computer Science Department, University of Michigan

Spring 2019

Date Speaker Institution Talk Title
1/17/2019 Steve Swanson Computer Science & Engineering, University of California, San Diego What Should We Do With Persistent Main Memory?
1/29/2019 Caroline Trippel Department of Computer Science, Princeton University Made to Order: Verifying Correctness and Security of Hardware through Event Orderings
2/12/2019 Dominik Moritz Computer Science and Engineering Department, University of Washington Visualization for People + Systems
2/14/2019 Yonatan Belinkov School of Engineering and Applied Sciences, Harvard University Deep Learning Models for Language: What they learn, where they fail, and how to make them more robust
2/15/2019 Jianjun Wu Department of Electrical Engineering and Computer Science, MIT Physical Scene Understanding
2/21/2019 Jeffery Regier Department of Electrical Engineering and Computer Sciences , University of California, Berkeley Cataloging the Visible Universe through Bayesian Inference at Petascale
2/22/2019 Wen Sun School of Computer Science, CMU Towards Generalization and Efficiency in Reinforcement Learning
2/26/2019 Angjoo Kanazawas School of Computer Science and Electrical Engineering, University of California, Berkeley Perceiving Humans in the 3D World
2/28/2019 Nandita Vijaykumar Electrical and Computer Engineering Department, CMU Rethinking the hardware-software contact: Enabling practical and general cross-layer optimization
3/12/2019 Dinesh Jayaraman School of Electrical Engineering and Computer Science, University of California, Berkeley Towards Embodied Visual Intelligence
3/13/2019 Mark Yatskar Computer Science Department, University of Washington Language as a Scaffold for Grounded Intelligence
3/14/2019 Raul Castro Fernandez Computer Science and Artificial  Intelligence Laboratory, MIT Data Discovery: Unleashing the Value of Data
3/19/2019 Elissa Redmiles Department of Computer Science, University of Maryland Security for all: Modeling Structural Inequities to Design More Secure Systems
3/20/2019 Siva Reddy Computer Science Department, NLP Group, Stanford University Interacting with machines in natural languages
3/21/2019 Chi Jin Computer Science Department, University of California, Berkeley Machine Learning: Why Do Simple Algorithms Work So Well?
3/26/2019 Earlence Fernandes Computer Science Department, University of Washington Computer Security for Emerging Technologies
3/28/2019 Frank Li Computer Science Department, University of California, Berkeley Improving Security at an Internet Scale: A Data-Driven-Approach
3/29/2019 Fisher Yu Computer Science Department, University of California, Berkeley Towards Human-Level Recognition via Contextual, Dynamic, and Predictive Representations
4/2/2019 Nima Anari Computer Science Department, Stanford University
4/4/2019 Mark Jeffery Computer Science and Artificial Intelligence Laboratory, MIT Making Parallelism Pervasive with the Swarm Architecture
4/9/2019 Guy Van den Broeck Computer Science Department, University of California, Los Angeles

Fall 2018

Date Speaker Institution Talk Title
9/27/2018 Pamela Zave Department of Computer Science, Princeton University The compositional architecture of the Internet
10/9/2018 Jack Stankovic Department of Computer Science, University of Virginia Research Challenges and Solutions for IOTT/CPS
10/11/2018 Lothar Thiele Department Information Technology and Electrical Engineering, ETH Zurich The Quest for Trust
10/23/2018 Aditya Akella Department of Computer Science, University of Wisconsin-Madison Putting Networks on a Firm Footing: Revolutionizing Network Management (and More)
10/25/2018 Tal Rabin Cryptography Research Group, TJ Watson Research Center, IBM Multiparty Computations and Threshold Cryptography – 30 Years in the Making
10/30/2018 Simson Garfinkel US Census Bureau’s Senior Computer Scientist for Confidentiality and Data Access Cybersecurity Research Is Not Making Us More Secure
11/1/2018 Babak Falsafi Computer & Communication Sciences, EPFL Server Architecture for the Post-Moore Era
11/6/2018 Jeff Bilmes Department of Electrical Engineering, University of Washington AI, Information, and the Future of Machine Learning
11/16/2018 Bjarne Stroustrup Managing Director, Technology Division of Morgan Stanley; Visiting Professor at Columbia University What – if anything – have we learned from C++?
11/27/2018 Kate Crawford AI Now Institute
11/29/2018 Le Song Computational Science and Engineering College of Computing, Georgia Tech Representation Learning for Graphs
12/4/2018 Dinesh Manocha Department of Computer Science, University of Maryland Autonomous Driving: Simulation and Navigation
12/11/2018 Fei Sha Department of Computer Science, University of Southern California Asking Harder Questions So Machines Can Answer More Intelligently

Spring 2018

Date Speaker Institution Talk Title
2/22/2018 Sebastian Angel Computer Science Department, University of Texas at Austin Privacy despite mass surveillance
2/27/2018 Omer Paneth Computer Science Department, MIT Cryptography Outside the Black Box
3/1/2018 Stefano Tessaro Computer Science Department, University of California, Santa Barbara The Foundations of Applied Cryptography
3/13/2018 Taesoo Kim School of Computer Science, College of Computing, Georgia Tech Scaling Security Practices: Automated Approaches to Eliminate Security Vulnerabilities
3/14/2018 Alexandros Daglis Ecole Polytechnique Federale de Lausanne, Switzerland Network-Centric Computing for Online Services
3/15/2018 Seyed Zahedi Computer Science Department, Duke University Managing Shared Resources in the Data Center Era: Computer Architecture Meets Game Theory
3/20/2018 Huijia (Rachel) Lin Computer Science Department, University of California, Santa Barbara On The Foundations of Program Obfuscation
3/22/2018 Saurabh Gupta Computer Science Department, University of California at Berkeley Visual Perception and Navigation in 3D Scenes
3/27/2018 San Woo Jun Computer Science & Artificial Intelligence, MIT Big Data Analytics Made Affordable: Hardware-Accelerated Flash Storage for Graph Analytics and Other Applications
3/28/2018 Stephen Bach Computer Science Dept., Stanford University Programming Statistical Machine Learning with High-Level Knowledge
3/29/2018 Samira Khan Computer Science Department, University of Virginia Solving the DRAM Scaling Challenge
4/3/2018 Radhika Mittal Electrical Engineering and Computer Science, University of California at Berkeley Towards a More Stable Network Infrastructure
4/12/2018 Nika Haghtalab Computer Science Department, Carnegie Mellon University Machine learning by the people, for the people
4/16/2018 Danqi Chen Computer Science Department, Stanford University Knowledge from Language via Deep Understanding
4/17/2018 Jacob Andreas Computer Science Department, University of California, Berkeley Learning from Language
4/27/2018 Sanjoy Dasgupta University of California, San Diego Using interaction for simpler and better learning

Fall 2017

Date Speaker Institution Talk Title
9/7/2017 Hovav Shacham Department of Computer Science and Engineering, University of California, San Diego Trusted Browsers for Uncertain Times
9/12/2017 Michael Franklin Department of Computer Science, University of Chicago Big Data Software: What’s Next?
9/21/2017 Gaurav Chakravorty Co-Founder, CIO, qplum The next ten years: Deep Learning in Trading
9/28/2017 John Hughes Computing Science Department, Chalmers University of Technology The Incredible Shrinking Test Case
10/3/2017 Salvatore Stolfo Department of Computer Science, Columbia University A Brief History of Symbiote Defense
10/12/2017 Arnab Nandi Department of Computer Science and Engineering, Ohio State University Chasing Interactivity: Querying Beyond Keyboards
10/16/2017 Adam Blank Computer Science and Engineering, University of Washington Structure and Application of AVL Trees
10/26/2017 Avrim Blum Professor and Chief Academic Officer, The Toyota Technological Institute at Chicago Learning about Agents and Mechanisms from Opaque Transactions
11/2/2017 Kunle Olukotun Departments of Electrical Engineering and Computer Science, Stanford University Scaling Machine Learning Performance with Moore’s Law
11/7/2017 Ehsan Hoque Computer Science Department, University of Rochester When can a computer improve your social skills?
11/9/2017 Konrad Kording Department of Neuroscience, Department of Bioengineering, UPenn PIK Professor Rethinking the role of machine learning in (neuro)science
11/16/2017 Deborah Estrin Department of Computer Science, Cornell Tech In pursuit of digital biomarkers
11/30/2017 Aditya Parameswaran Computer Science Department, University of Illinois at Urbana-Champaign Enabling Data Science for the 99%
12/7/2017 Shafi Goldwasser Electrical Engineering and Computer Science, MIT Pseudo Deterministic Algorithms and Proofs

Spring 2017

Date Speaker Institution Talk Title
1/18/2017 Hanna Wallach Senior Research Microsoft New York Machine Learning for Social Science
1/26/2017 Edward Lee Electrical Engineering and Computer Sciences, UC Berkeley Resurrecting Laplace’s Demon: The Case for Deterministic Models
1/31/2017 Margaret Martonosi Department of Computer Science, Princeton University
2/16/2017 Eleazer Eskin Computer Science Department, Human Genetics, University of California, Los Angeles
3/16/2017 Yingyu Liang Computer Science Dept., Princeton University Theory for New Machine Learning Problems and Applications
3/20/2017 Osbert Bastani Computer Science Dept., Stanford University Beyond Deductive Inference in Program Analysis
3/21/2017 Bharath Hariharan Post-doctoral Researcher, Facebook Towards versatile visual recognition systems
3/23/2017 Ilya Razenshteyn MIT CSAIL New Algorithms for High-Dimensional Data
3/27/2017 Christina Garman Department of Computer Science, Johns Hopkins University Securing Deployed Cryptographic Systems
3/30/2017 Prashant Nair Computer Architecture, Georgia Tech Learning to Live with Errors: Architectural Solutions for Memory Reliability at Extreme Scaling
4/4/2017 Ali Jose Mashtizadeh Computer Science Department, Stanford University Systems and Tools for Reliable Software: Replication, Reproducibility, and Security
4/6/2017 Dorsa Sadigh Electrical Engineering and Computer Science, University of California-Berkeley Towards a Theory of Safe and Interactive Autonomy
4/11/2017 Kaushik Roy Electrical and Computer Engineering, Purdue University Approximate Computing for Energy-efficient Error-resilient Multimedia Systems
4/13/2017 Yuhao Zhu Computer Architecture, University of Texas, Austin Energy-Efficient Mobile Web Computing
4/18/2017 Aasheesh Kolli Computer Engineering Lab, University of Michigan Architecting Persistent Memory Systems
4/20/2017 Wyatt Lloyd Computer Science Dept., University of South Carolina Low Latency and Strong Guarantees for Scalable Storage
4/27/2017 Zvi Galil The John P. Imlay Jr. Dean of Computing and Professor, Georgia Tech Georgia Tech’s Online MOOC-based Master Program

Fall 2016

Date Speaker Institution Talk Title
10/24/2016 Benjamin Pierce University of Pennsylvania The Science of Deep Specification
10/27/2016 Deborah Johnson University of Virginia Ethical Issues in Big Data
11/1/2016 Emmanuel Thome INRIA Large cryptanalytic computations with the Number Field Sieve
11/8/2016 Kathleen R. McKeown Columbia University At the Intersection of Data Science and Language
11/10/2016 Mridul Aanjaneya University of Wisconsin – Madison Simulation-Enhanced Visual Computing for Real World Applications
11/15/2016 Samuel Madden MIT Interactive Data Analytics: the New Frontier
12/8/2016 Ragunathan Rajkumar Carnegie Mellon University Driverless Vehicles: What Can We (Not) Do?
12/13/2016 Chenfanfu Jiang UCLA Hybrid methods for computer graphics simulation of snow, sand, water, foam and beyond

Spring 2016

Date Speaker Institution Talk Title
1/28/2016 Mayur Naik Georgia Tech A Declarative Approach to Leverage “Big Code” for Program Reasoning
2/4/2016 Dan Roth Computer Science and the Beckman Institute, University of Illinois at Urbana/Champaign Constraints Driven Learning and Inference for Natural Language Understanding
2/9/2016 James Zou Microsoft Research; Massachusetts Institute of Technology Harnessing the unseen for next-generation data science
2/12/2016 Jan Cuny National Science Foundation The Rise of Computer Science Education and the Move Toward Greater Diversity
2/16/2016 Shivani Agarwal Radcliffe Institute for Advanced Study, Harvard University Machine Learning: Art or Science?
2/18/2016 Justine Sherry University of California, Berkeley Middleboxes As A Cloud Service
2/23/2016 Mooly Sagiv Tel Aviv University Verifying Safety of Distributed Systems
2/25/2016 Benedikt Shmidt IMDEA Software Institute Computer-aided proofs for Cryptographic Primitives and Protocols
3/1/2016 Matthew Hicks University of Michigan Engineering a more trustworthy computing base
3/3/2016 Emmanouil Kapritsos Microsoft Research Sustainable Reliability for Distributed Systems
3/15/2016 Xin Jin Princeton University Dynamic Control of Software-Defined Networks
3/17/2016 Vincent Liu University of Washington Improving the Efficiency and Reliability of Data Center Networks
3/24/2016 Abhishek Bhattacharjee Rutgers-New Brunswick Efficient Virtual Memory for Big Data Systems
3/31/2016 Gennady Pekhimenko Carnegie Mellon University Practical Data Compression for Modern Memory Hierarchies
4/19/2016 Duncan Watts Microsoft Research Computational Social Science: Exciting Progress and Future Challenges
4/21/2016 Cary Phillips Creating the Impossible: Hollywood Visual Effects at Industrial Light & Magic
4/26/2016 Linh Thi Xuan Phan Timing Guarantees for Cyber-Physical Systems
5/3/2016 James Weimer University of Pennsylvania Personalizing Medicine in an Impersonal World: Parameter-Invariant Design for Cyber-Physical Systems

Spring 2015

Date Speaker Institution Talk Title
2/3/2015 Xuehai Qian EECS at Berkeley, Computer Science Division, University of California at Berkeley Taming Relaxed Memory Consistency and Non-determinism in Parallel System
3/3/2015 Dr. Matthew Jackson Professor of Economics at Stanford University Gossip: Identifying Central Individuals in Networks and Diffusion Processes
3/19/2015 Sue Gardner Special Advisor to Wikipedia Yes! The Future of the Internet
3/24/2015 Abhishek Bhattacharjee Computer Science Department, Rutgers University Virtual Memory in Next-Generation Heterogeneous Manycore Systems
3/31/2015 Byron Wallace Department of Computer Science and School of Information, University of Texas at Austin Automating evidence synthesis via machine learning and natural language processing
4/6/2015 Zachary Palmer Ph.D. candidate, Computer Science Dept., Johns Hopkins Refactoring: The Same is Better
4/7/2015 Sumit Gulwani Principal Researcher, Microsoft Research Data Manipulation using Programming By Examples and Natural Language
4/9/2015 Zachary Kincaid University of Toronto Parallel Proofs for Parallel Programs
4/9/2015 Alessandro Acquisti Carnegie Mellon University On the Roots of Privacy Concerns
4/14/2015 Jimmy Yang Senior Director of Research at Yahoo Labs Optimization in Online Advertising
4/16/2015 Dawn Song Computer Science Division, University of California, Berkeley No More Cat and Mouse: Towards Building Systems Secure by Construction

Fall 2014

Date Speaker Institution Talk Title
9/2/2014 Eva Tordos Department of Computer Science, Cornell University Composable Mechanisms, Learning, and Price of Anarchy in Auctions
9/9/2014 Jon Moore Comcast Not-So-Big Data After All: Managing Reference Data with Sirius
9/18/2014 Cynthia Dwork Microsoft Research Silicon Valley Fairness, Awareness, and Privacy
9/29/2014 Susan Athey Graduate School of Business, Stanford University
10/14/2014 Laura Haas IBM Fellow and Director, Technology and Operations IBM Research Accelerated Discovery Lab Accelerating Data Discovery for Better Health
10/21/2014 Emin Gun Sirer Computer Science Department, Cornell University Bitcoin: How to Get Rich or Die Tryin’
10/28/2014 Time Kelly Department of Computer Science, University of York Mechanising Informal Arguments – Some Challenges and Possibilities
11/6/2014 Mingyao Li Department of Biostatistics and Epidemiology, University of Pennsylvania Statistical and Computational Modeling of RNA Sequencing Data
11/11/2014 Jennifer Rexford Department of Computer Science, Princeton University Putting the ‘Inter’ in ‘Internet’
11/18/2014 Philip Resnik Linguistics Department, University of Maryland, College Park Modeling Agendas and Framing in Political Debates and Other Conversations
12/2/2014 Panos Ipeirotis Stern School of Business, New York University Adventures In Crowdsourcing
12/11/2014 Andrew DeOrio University of Michigan A Lesson on Data Abstraction

Spring 2014

Date Speaker Institution Talk Title
1/16/2014 Farnam Jahanian Assistant Director for CISE, National Science Foundation Innovating for Society: Realizing the Transformative Impact of Computing and Communication in a Data-Driven World
1/13/2014 Victor Vianu Computer Science Department, University of California San Diego Title Automatic Verification of Data-Centric Workflows
2/18/2014 Hal Daume III Computer Science, University of Maryland, College Park The Many Flavors of Language: Understanding and Adapting Statistical Models
2/27/2014 Alekh Agarwal Microsoft Research New York Representation, modeling and computation: Opportunities and challenges of modern datasets
3/6/2014 John Duchi Computer Science Department, University of California, Berkeley Computation, Communication, and Privacy Constraints on Learning
3/18/2014 Rishabh Singh Computer Science and Artificial Intelligence Laboratory, MIT Program Synthesis for the Masses
3/25/2014 Zachary Kincaid Computer Science Dept., University of Toronto Parallel proofs for parallel programs
3/27/2014 Michael Carbin Electrical Engineering and Computer Science Dept., MIT Reasoning about Approximate Computing
4/1/2014 Finale Doshi-Velez School of Engineering and Applied Sciences and the Center for Biomedical Informatics, Harvard University Prediction and Interpretation with Complex Data
4/3/2014 Sivan Sabato Microsoft Research New England Learning with Lower Information Costs
4/8/2014 Wen-Hann Wang Managing Director of INTEL labs Energy Efficient Computing: Enabling The New Digital Society
4/10/2014 Emina Torlak Computer Science Department, University of California, Berkeley Programming for Everyone: From Solvers to Solver-Aided Languages and Beyond
4/15/2014 Heming Cui Computer Science Dept., University of Columbia Adding Simplicity and Order in Today’s Complex Software
4/22/2014 Eric Horvitz Distinguished Scientist & Managing Director, Microsoft Research Data, Predictions, and Decisions in Support of People and Society
4/24/2014 Byron Boots Robotics and State Estimation, University of Washington Machine Learning For Modeling Real-World Dynamical Systems”
5/6/2014 Harsha V. Madhyastha Computer Science and Engineering Dept., University of California Riverside Enabling Cloud-Based Services: The Cloud Isn’t Everywhere
5/14/2014 Aarti Gupta NEC Labs America Software Verification: Locks and MLoCs*

Fall 2013

Date Speaker Institution Talk Title
9/17/2013 Raymond J. Mooney Computer Science Dept., University of Texas, Austin Grounded Language Learning
9/24/2013 Michael Reiter Dept. of Computer Science, University of North Carolina at Chapel Hill How to Misuse, Use, and Mitigate Side Channels in Virtualized Environments
10/1/2013 Raquel Urtasun Toyota Technological Institute at Chicago Visual Scene Understanding for Autonomous Systems
10/8/2013 Avrim Blum Dept. of Computer Science, Carnegie Mellon University Towards theoretical models of natural inputs: aiming to bridge the Theory/AI divide
10/18/2013 Al Roth Professor of Economics at Stanford University Networks and Algorithms: What Have We Learned from Market Design
10/29/2013 Trevor Mudge Electrical Engineering & Computer Science Dept, University of Michigan Interconnect Fabrics for Multicore Computers
11/5/2013 Lydia E. Kavraki Computer Science and Bioengineering, Rice University From Robots to Biomolecules: Computing for the Physical World
11/12/2013 Stephen Chong School of Engineering and Applied Sciences, Harvard University Towards a Practical Secure Concurrent Language
11/19/2013 Frans Kaashoek Dept. of Electrical Engineering, MIT The multicore evolution and operating systems
11/26/2013 Hal Daume III Computer Science Dept., University of Maryland, College Park The Many Flavors of Language: Understanding and Adapting Statistical Models
12/5/2013 Jame O’Brien Dept. of Electrical Engineering and Computer Science, University of California, Berkeley Talk Geometric Image and Video Forensics

Spring 2013

Date Speaker Institution Talk Title
1/11/2013 Domagoj Babic Facebook, Inc Synthesis of Symbolic Input-Output Specifications with Sigm
2/21/2013 Isil Dillig Computer Science Dept. College of William & Mary Introspective Static Analysis via Abductive Inference
2/26/2013 Thomas Dillig Computer Science Dept. College of William & Mary Practical Program Verification using Integer Linear Programming
2/28/2013 Geoff Voelker Dept. of Computer Science and Engineering University of California, San Diego Talk Exploring the Technical and Economic Factors Underlying Internet Scams
3/14/2013 Fred Schneider Computer Science Dept. Cornell University Talk Blueprint for a Science of Cyber-security
3/19/2013 Zachary Tatlock Dept. of Computer Science and Engineering University of California, San Diego Talk Securing Software via Design and Proof
3/21/2013 Allison Lewko Microsoft Research New England Expanding Capabilities for Functional Encryption
3/26/2013 Daniel Hsu Microsoft Research New England Fast learning algorithms for discovering the hidden structure in data
4/4/2013 John C. Mitchell Dept. of Computer Science Stanford University JavaScript and Web Security: Isolation and Communication in the Programmable Web
4/9/2013 Erin Solovey Humans and Automation Lab MIT Talk Enhancing Interactive Systems with Real-time Brain Input
4/11/2013 Nadia Heninger Computer Science Dept. Princeton University RSA in the real world
4/16/2013 Ruzica Piskac Max Planck Institute for Software Systems Software Synthesis using Automated Reasoning
4/18/2013 Quoc V. Le Computer Science Dept. Stanford University Talk Scaling deep learning to 10,000 cores and beyond

Fall 2012

Date Speaker Institution Talk Title
10/9/2012 Arvind Computer Science and Engineering, Computer Science and Artificial Intelligence Laboratory, MIT Programming in the Brave New world of Systems-on-a-chip
12/6/2012 Andrei Sabelfeld Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg University Tracking information flow in web applications
11/6/2012 Ion Stoica Computer Science Division, University of California, Berkeley Taming Big Data with BDAS (Berkeley Data Analytics Stack)
11/13/2012 Ellen Witte Zegura School of Computer Science, College of Computing, Georgia Tech Computing in Cirrus Clouds: The Challenge of Intermittent Connectivity
11/19/2012 Justine Cassell Human Computer Interaction Institute, Carnegie Mellon Building Rapport between People and Machines: Why and How
11/20/2012 Nikos Laoutaris Telefónica I+D, S.A.U., Senior Researcher, Internet Scientific Group Data Driven Network Economics Some thoughts and several real world applications
12/4/2012 M. Tamer Özsu School of Computer Science, University of Waterloo RDF Data Management Using Graph Algorithms
12/11/2012 Noah Smith School of Computer Science, Carnegie Mellon University Text and Social Context: Analysis and Prediction

Spring 2012

Date Speaker Institution Talk Title
1/24/2012 Carlos Guestrin Computer Science Department, Carnegie Mellon University GraphLab: A Distributed Abstraction for Machine Learning
1/26/2012 Jae Woo Lee Dept. of Computer Science, Columbia University C++ in 45 minutes. Or not
2/7/2012 Gokhan Memik Department of Electrical Eng. and Computer Science, Northwestern University Humans and Bits: Designing Holistic Computer Architectures
2/9/2012 Sam Moelius IDA Center for Computing Sciences in Bowie, Maryland Java Generics
2/9/2012 Hank Hoffman Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology A Framework for the Self-aware Management of Goals and Constraints in Modern Computing Systems
2/14/2012 Haryadi Gunawi Computer Science Dept, University of California, Berkeley Towards Reliable Storage Systems: From OS-Level File Systems to Cloud Storage
2/23/2012 Allen Clement Max Planck Institute for Software Systems Robust Replication (or how I learned to stop worrying and love failures)
2/28/2012 Chris Callison-Burch Computer Science Department, Johns Hopkins University Advances to machine translation and language understanding
3/1/2012 Mohit Tiwari Electrical Engineering and Computer Sciences, University of California, Berkley Crafting Secure Systems from the Gates Up
3/13/2012 Jack Sampson Department of Computer Science and Engineering, University of California, San Diego Conservation Cores: Architectures for a Future of Dark Silicon
3/15/2012 Kevin Fu Dept. of Computer Science, University of Massachusetts Amherst Your Abstractions are Worth^H^H^H^H^HPowerless! Perpetual Computation on Intermittently Powered Embedded Systems* (*Batteries Not Included)
3/20/2012 Daniel Sanchez Electrical Engineering Dept., Stanford University Scaling Software and Hardware for Thousand-Core Systems
3/22/2012 Joe Devietti Computer Science & Engineering, University of Washington No Such Thing as Luck: Improving Parallel Programmability with Determinism
3/27/2012 Barbara Jobstmann Verimag Laboratory, CNRS and Université de Grenoble, France Synthesis-Augmented System Development
4/3/2012 Viktor Kuncak École polytechnique fédérale de Lausanne EPFL, Switzerland Verifying and Computing with Constraint Solvers
4/17/2012 Dana Scott Emeritus Hillman University Professor of Mathematical Logic, Computer Science, and Philosophy, Carnegie Mellon University A Simple NP-complete Tiling Problem
4/24/2012 Leslie G. Valiant Computer Science and Applied Mathematics, School of Engineering and Applied Sciences, Harvard University A Computational Theory of Cortex and Hippocampus
4/25/2012 Vladimir Vapnik NEC Laboratories
5/9/2012 Thomas J. Farmer NRC Postdoctoral Fellow at Army Research Lab, Adjunct Professor at the George Washington University Department of Electrical and Computer Engineering From C to Assembly to the MIPS Processor – An Overview
5/10/2012 Max Morawski University of Maryland, Baltimore County, Maple Lab Intro To Recursion
7/11/2012 Nora Newcombe Professor of Psychology; PI and Director, Spatial Intelligence and Learning Center (SILC), Temple Spatial Skills and Success in STEM: Thinking about Gender Differences

Fall 2011

Date Speaker Institution Talk Title
9/13/2011 Nancy Pollard Robotics Institute and the Computer Science Department at Carnegie Mellon University Directing Physically Based (and Physical) Interactions:  New Interfaces for Animation Control
9/27/2011 Marianne Winslett University of Illinois at Urbana-Champaign, and Advanced Digital Sciences Center, Singapore Records Retention:  Addressing Insider Threats to Data Integrity
9/29/2011 Elchanan Mossel Statistics and Computer Science at UC Berkeley
10/18/2011 Kevin Knight USC/Information Sciences Institute Language Translation and Code-Breaking
10/19/2011 Steve Swanson Computer Science & Engineering, University of California, San Diego Moneta Engineering Storage for the Data Age
10/25/2011 Gerald Tesauro IBM Watson Research Center How Watson Learns Superhuman Jeopardy! Strategies
11/8/2011 Joe Hellerstein EECS Computer Science Division, UC Berkeley CALM Consistency: Disorderly Programming in Bloom
11/15/2011 Justine Cassell Director of the Human-Computer Interaction Institute, in the School of Computer Science at CMU The Human at the Heart of our Work: Advancing Social Theory and Engineering Practice
11/22/2011 Eitan Grinspun Computer Science Dept., Columbia University From Sorcery to Science: how Hollywood Physics impacts the Sciences
11/29/2011 Santish Narayanasamy Electrical Engineering and Computer Science, University of Michigan A Path to Achieving Sequential Correctness for Parallel Programs
12/6/2011 Ladislav Kavan Dept. of Computer Science, Universtitaetstrasse 3D Virtual Characters: Skinning, Clothing, and Weird Math

Fall 2010

Date Speaker Institution Talk Title
9/14/2010 Martin C. Rinard Computer Science and Artificial Intelligence Laboratory, MIT Automatically Reducing Energy Consumption, Improving Performance, and Tolerating Failures With Good Accuracy
9/21/2010 Dan Suciu Computer Science and Engineering Dept, University of Washington Querying Probabilistic Data
9/28/2010 Silvio Micali Computer Science and Artificial Intelligence Laboratory, MIT New Mechanisms for a New World
10/19/2010 Madhu Sudan Microsoft Research, New England Towards Universal Semantic Communication
10/26/2010 Bill Pugh Department of Computer Science, University of Maryland Mistakes that matter, and Mistakes that don’t
11/9/2010 Tom Mitchell Carnegie Mellon University, Machine Learning Dept., School of Computer Science Never-Ending Learning
11/16/2010 Craig Chambers Google Flume: Towards Easy, Efficient Massively-Data-Parallel Pipelines
11/23/2010 Margo Seltzer Engineering and Applied Sciences, Harvard University Provenance Everywhere
11/30/2010 Dan Roth Department of Computer Science, University of Illinois at Urbana-Champaign Constraints Driven Learning for Natural Language Understanding

Spring 2010

Date Speaker Institution Talk Title
2/12/2010 Kostas Bimpikis Operations Research Center, Massachusetts Institute of Technology Dynamics of Information Exchange in Endogenous Social Networks
2/16/2010 Aaron Roth Computer Science Dept., Carnegie Mellon  University Efficient Computation under the Constraints of Privacy and Incentives
2/22/2010 Sachin Adlakha Department of Electrical Engineering, Stanford University Decision Making in Complex Interconnected Systems
3/15/2010 Jinwoo Shin Department of Mathematics, Massachusetts Institute of Technology Message Passing Networks
3/16/2010 Elchanan Mossel Mathematics and Computer Science, Weizmann Institute; Electrical Engineering and Computer Science, U.C. Berkeley Some Network Models in Economics and Related Areas
3/18/2010 Katrina Ligett Computer Science Department, Cornell University A Formal Approach to Privacy and Individual Incentives
3/25/2010 Gagan Goel School of Computer Science, Georgia Institute of Technology Computational Issues in Auction Design
4/1/2010 Hamid Nazer Zadeh Microsoft Research Online Optimization with Uncertain Information
4/15/2010 Amin Saberi Management Science and Engineering, Institute for Computational and Mathematical Engineering, Stanford University Game Dynamics, Equilibrium Selection and Network Structure

Fall 2009

Date Speaker Institution Talk Title
9/29/2009 Michael Collins Computer Science and Artificial Intelligence Laboratory, MIT TAG-based Structured Prediction Models for Parsing and Machine Translation
10/13/2009 Carol O’ Sullivan Computer Science Department, Trinity College Dublin Simulating and Evaluating Virtual Populace
10/20/2009 Rastislav Bodik Computer Science Division, University of California, Berkeley Algorithmic Program Synthesis with Partial Programs
11/3/2009 Lillian Lee Dept. of Computer Science, Cornell University A tempest: Or, On the flood of interest in sentiment analysis, opinion mining, and the computational treatment of subjective language
11/17/2009 Elaine J. Weyuker AT&T Labs–Research, Shannon Laboratory Bugs – Find Them Before They Find You!
12/1/2009 Larry Peterson Dept. of Computer Science, Princeton University Towards the Big “C” Cloud
12/3/2009 David Culler Computer Science Dept., University of California, Berkeley LoCal: Rethinking the Energy Infrastructure from an IT Perspective

Spring 2009

Date Speaker Institution Talk Title
1/29/2009 Ryan MacDonald Google Research Mining and Summarizing Opinions from the Web
2/19/2009 Moses Charikar Dept. of Computer Science, Princeton University New Insights into Semidefinite Programming for Combinatorial Optimization
3/3/2009 Sharon Goldberg Electrical Engineering, Princeton University
3/5/2009 Eugene Charniak Computer Science Department, Brown University EM Works for Pronoun-Anaphora Resolution
3/17/2009 Andreas Haeberlen Computer Science Dept., Rice University
3/19/2009 Stefan Savage Department of Computer Science and Engineering, University of California, San Diego Spamalytics: Exploring the Technical and Economic Underpinnings of Bulk E-mail Scams
3/24/2009 David Pennock Yahoo Research
3/26/2009 Ashish Goel Management Science and Engineering, Stanford University Algorithms at the Molecular Scale
3/31/2009 Alan Mislove Max Planck Institute for Software Systems
4/2/2009 Tom Reps Computer Sciences Department, University of Wisconsin-Madison WYSINWYX: What You See Is Not What You eXecute
4/7/2009 Andrew Odlyzko School of Mathematics, University of Minnesota
4/9/2009 Mohammad Mahdian Yahoo! Research
4/14/2009 Duncan Watts Yahoo! Research
4/16/2009 Peter Lee Computer Science Department, Carnegie Mellon University Programming a Million Robots
4/21/2009 Ramesh Johari Stanford University The interaction of positive externalities and congestion effects in services

Fall 2008

Date Speaker Institution Talk Title
9/4/2008 Rajeev Alur Computer and Information Science, Penn Software Model Checking
9/11/2008 Milo Martin Computer and Information Science, Penn HardBound Architectural Support for Spatial Safety of the C Programming Language
9/16/2008 Zack Ives Computer and Information Science, Penn Orchestra: Sharing Inconsistent Data in a Consistent Way
9/18/2008 Paul Francis Computer Science Dept., Cornell University Scaling Internet Routing with Legacy Routers
9/25/2008 Valentina Salapura Exploratory Server Systems Group, IBM T.J. Watson Research Center Scaling Up Next Generation Supercomputers
10/16/2008 Alex Aiken Computer Science Dept, Stanford University Verifying a Security Property of an Operating System
10/23/2008 Andy Yao Center for Advanced Study, Tsinghua University Secure Multiparty Computation and Percolation Theory
10/28/2008 Merrick Furst College of Computing, Georgia Tech Threads: Restructuring Computer Science Curricula for a Flat World
11/4/2008 Ani Nenkova Computer and Information Science, Penn Modeling text quality in newspaper text and machine translation
11/6/2008 Jean Gallier Computer and Information Science, Penn What is a Proof?
11/11/2008 Ben Taskar Computer and Information Science, Penn From Co-occurrence to Correspondence
11/13/2008 Guy Blelloc Department of Computer Science, Carnegie Mellon University Parallel Thinking
11/18/2008 Oleg Sokolsky Computer and Information Science, Penn Runtime Verification
11/20/2008 Umesh Vazirani Berkeley Quantum Computing Center, Computer Science Division, University of California at Berkeley The truth about quantum computers
11/25/2008 Robin Permantle Dept. of Mathematics, Penn An upper bound on the time for quadratic sieving
12/2/2008 Anna Karlin University of Washington A Survey of Some Recent Research at the Border of Game Theory, Algorithms and Economics
12/4/2008 Doug Burger Computer Sciences and Electrical & Computer Engineering, University of Texas The Golden Age of Architecture (?)

Spring 2007

Date Speaker Institution Talk Title
2/27/2007 Adrien Treuille Computer Science Dept Computer Graphics, University of Washington New approaches to modeling and control of complex dynamics
3/27/2007 Alla Safonova Computer Graphics Lab, Carnegie Mellon University Synthesizing Human Motion from Intuitive Constraints
4/5/2007 Stephen Boyd Information Systems Laboratory, Department of Electrical Engineering, Stanford University An Interior-Point Method for Large-Scale l_1-Regularized Logistic Regression
4/19/2007 Vivek Kwatra Department of Computer Science, The University of North Carolina at Chapel Hill Spatio-temporal Textural Modeling for Data-driven Synthesis and Visualization
4/23/2007 Judea Pearl Department of Computer Science, University of California, Los Angeles The Mathematics of Casual Inference
4/24/2007 Lior Pachter Mathematics and Computer Science, University of California at Berkeley From Drosophila and Transposable Elements to the Neighbor-Net  Algorithm and Phylogenetic Networks
4/25/2007 Stuart Card Senior Research Fellow, Palo Alto Research Center Human Information Interaction:  The theory and design of cognitive prostheses
5/29/2007 Luca Cardelli Microsoft Research Artificial Biochemistry
7/30/2007 Shaz Qadeer Microsoft Research Iterative context-bounding: a new approach for finding errors in large multithreaded programs