2017-2018 DLS lectures

• Lior Pachter - Caltech - Where is the computer science in genomics?


• Andrew Chien - University of Chicago - Zero-Carbon Cloud: Understanding Stranded Power -- Can it Reduce Computing's Growing Carbon Footprint


• Ari Juels - Cornell Tech - Enter the Hydra: Towards Principled Bug Bounties and Exploit-Resistant Smart Contracts


• Yolanda Gil - USC - Thoughtful Artificial Intelligence


• Lydia Kavraki - Rice - Investigations in Physical Computing: Robots and Biomolecules


• Majid Sarrafzadeh - UCLA - Interactive Healthcare


• Nikos Kyrpides - DOE Joint Genome Institute - Microbiome Research: from Products to Data


• Nadia Polikarpova, Sicun Gao, Deian Stefan - UCSD CSE Faculty - Nadia:Type-Driven Program Synthesis - Sicun:Automated Reasoning for Physical Computing - Deian:A secure runtime system for physically-coupled devices


• Muddu Sudhakar - CEO of Aisera - Opportunities and Challenges in Building Startups in AI and Machine Learning


• Raj Reddy - Carnegie Mellon - Creating a Humane Society through Computational Social Science

2016-2017 DLS lectures

• John DeNero - UC Berkeley - -- Undergraduate Data Science at UC Berkeley


• Uri Keich - University of Sydney -- Please email csehelp@cs for link to video -- Controlling the rate of false discoveries in tandem mass spectrum identifications


• Serafim Batzoglou - Stanford - -- Personalized Genomics and Computation


• Vania Joloboff - INRIA - -- Virtual Prototyping for Cyber Physical Systems


• Philip Stark - UC Berkeley - -- Student evaluations (mostly) don't measure teaching effectiveness


• Daniel Lee - University of Pennsylvania - -- Representation and Readout of Object Manifolds


• Eva Tardos - Cornell - -- Learning and Efficiency in Games


• Srini Devadas - MIT - -- Time Traveling Hardware and Software Systems


• Shafi Goldwasser - MIT - -- The Cryptographic Lens: Past, Present and Future


• Yung-Hsiang Lu - Purdue - -- Opportunities and Challenges in Global Network Cameras


• Anant Agarwal - MIT - -- MOOC 2.0: Innovation and Integrity in Online Learning


• Christos Faloutsos - Carnegie Mellon University - -- Mining Large Graphs: Patterns, Anomalies, and Fraud Detection


• Vijay Vazirani - Georgia Tech - -- Novel Markets on the Internet: Models and Algorithms

2015-2016 DLS lectures

• Hau-Tieng - University of Toronto - Analyzing massive medical datasets using nonlinear time-frequency analysis and alternating diffusion


• Keith Marzullo - Director, NITRD NCO - Coordinating $4.1B of Federal IT Research and Development: the NITRD NCO


• Dinesh Manocha - University of North Carolina at Chapel Hill - Interactive Sound Simulation and Rendering


• Hanna Samet - University of Maryland - Please email csehelp@cs for link to video -- Reading News with Maps by Exploiting Spatial Synonyms


• Bonnie Berger - MIT - Computational biology in the 21st century: Scaling with compressive algorithms


• Tandy Warnow - University of Illinois at Urbana-Champaign - Ultra-large Multiple Sequence Alignment


• Zvi Galil - Georgia Institute of Technology - Georgia Tech's New Online MOOC-based Master Program


• Karu Sankaralingam - University of Wisconsin-Madison - Challenges and Promise of Open Source Hardware


• Jim Kurose - National Science Foundation - An expanding and expansive view of computing


• Kobbi Nissim - Ben Gurion University and Center for Research on Computation and Society - Privacy: How theory can influence reality


• Mooly Sagiv - Tel-Aviv University - Reasoning about Program Data Structure Shape: from the Heap to Distributed Systems


• Mihai Pop - University of Maryland - Metagenomic assembly: the devil is in the details

2014-2015 DLS lectures

• Shamil Sunyaev (Harvard University) - Patterns of human de novo germ-line and cancer somatic mutations


• Janine Tiefenbruck - UCSD - Patterns in Permutations and Words


• Edison Thomaz (Georgia Institute of Technology) - Looking Health Behavior in the Eye: Sensing and Modeling of Everyday Human Activities


• Eva Darulova (École Polytechnique Fédérale de Lausanne (EPFL)) - Programming with Numerical Uncertainties


• Simon Peter (University of Washington) - Building an Operating System for the Data Center


• Ronald Dreslinki Jr. (University of Michigan) - Energy-Efficient Architectures Using Three-Dimensional Integration and Near-Threshold Computing


• Baishakhi Ray (University of California, Davis) - Leveraging Big Software Data to Improve Software Quality


• Milos Gligoric (University of Illinois at Urbana-Champaign (UIUC)) - Regression Testing: Theory and Practice


• Matt Fredrikson (University of Wisconsin-Madison) - Inference Attacks: Understanding Privacy in the Era of "Privacy is Dead


• Danai Koutra (Carnegie Mellon) - What’s in my data? Fast, principled algorithms for exploring large graphs


• Deian Stefan (Stanford) - Principled and Practical Web Application Security


• James Mickens (Microsoft) - Building a Better Web Browser


• Justin Solomon (Stanford) - Crowd-Agents: Transportation Techniques for Geometric Data Processing


• Walter S. Lasecki (University of Rochester) - Crowd-Agents: Creating Crowd-Powered Interactive Systems


• Suman Jana (Stanford University)- Rise of the Planet of the Apps: Security and Privacy in the Age of Bad Code


• Mac Schwager (Boston University) - Multi-Robot Systems for Monitoring and Controlling Large Scale Environments


• Ira Kemelmacher-Schlizerman (University of Washington) - Big visual data meets human face modeling


• Sergey Levine (UC Berkeley) - Deep Learning for Decision Making and Control


• Haitham Hassanieh (MIT) - The Sparse Fourier Transform: Theory and Applications


• Manmohan Chandraker (NEC Labs America) - What Motion Reveals about Shape with Unknown Material


• Joseph Gonzalez (UC Berkeley) - Learning Systems: Systems and Abstractions for Large-Scale Machine Learning


• Sriram Sankararaman (Harvard) - Probabilistic models of human population admixture


• Andrea Thomaz (Georgia Institute of Technology) - Robots Learning from Human Teachers


• Avi Wigderson (Institute for Advanced Study, Princeton) - Randomness


• Peter Bailis (UC Berkeley) - Please email csehelp@cs for link to video (file name) ---- Coordination Avoidance in Distributed Databases


• Amanda Randles (Lawrence Livermore National Laboratory) - Using Massively Parallel Simulation to Study Human Disease Interventions


• James Rehg (Georgia Institute of Technology) - Activity and Attention in First-Person Vision


• Ed Lazowska - Computer Science: The Ever-Expanding Sphere Slides - PDF Slides - Powerpoint


• Pavel Pevzner (UCSD) - Life After MOOCs: Online Science Education Needs a New Revolution


• Emery Berger (University of Massachusetts Amherst) - Programming Language Technology for the Sciences


• Dan Jurafsky (Stanford University) - Extracting Social Meaning from Language: The Computational Linguistics of Food and the Spread of Innovation


• Song-Chun Zhu (UCLA) - Scene Understanding by Reasoning Functionality, Physics, Intents and Causality


• Phillip Rogaway (UC Davis and ETH Zurich) - Why *most* academic cryptographers don’t care about real-world protocols, mass-surveillance, or anything else that impacts your privacy or security


• Stefan Savage (UCSD) - Reasoning about Security Interventions


• Vitaly Shmatikov (UT Austin) - All Your SSL Are Belong To Us


• Ladislav Kavan (UPenn) - Modeling deformable objects using direct and physics-based methods


• Omer Reingold - Guilt-Free Interactive Data Analysis: The Reusable Holdout


• Paul Debevec (USC) - Advances in Photoreal Digital Humans in Film and in Real-Time

2013-2014 DLS lectures

• David Brumley - Checking the World's Software for Exploitable Bugs


• Sung Kyu Lim - Design, Test, and EDA Research for 3D ICs at GTCAD Laboratory


• David Patterson - Myths about MOOCs and Software Engineering Education


• Greg Morrisett - Trustworthy Hardened Code


• Adam Wierman - Algorithmic Challenges for Greening Data Centers


• Vijaykrishnan Narayanan - Vision Analytics: Confluence of Algorithms, Architectures and Technology


• Ratul Mahajan - Software-Driven Wide Area Network (SWAN)


• Rahul Mangharam - Closing-the-loop with Cyber Physical System Modeling


• Jignesh Patel - Data @ Bare Metal Speed (Note: Due to technical difficulties prior to the presentation the video and audio are not optimal)


• Leonard Porter - Architecting an Improved Computer Science Curriculum


• Santosh Kumar - Computational Modeling of Behaviors from Mobile Measurement of Physiology – Potential, Progress, and Prospects


• Mia Minnes - Helping Students See 'The Big Picture'


• Michael Fellows - Parameterized (Multivariate) Complexity Then and Now: What Have We Learned Since 1999?


• Kate Lockwood - An Approach to Teaching Computer Science


• Yi-Chieh Wu (Jessica) - Models and Algorithms for Phylogenetic Reconstruction


• H.V. Jagadish - Helping Humans Use Big Data


• Donald Kossman - When is A=B?


• Anastasia Kurdia - Active Learning in Computer Science: Adapting Effective Solutions From Other Disciplines


• Josh Hug - MOOC and Me - Development of the Princeton Algorithms MOOC and Its On-Campus Counterpart


• Ravi Ramamoorthi - Sampling and Reconstruction of High-Dimensional Visual Appearance


• Richard Socher - Recursive Deep Learning for Modeling Semantic Compositionality


• Anil Ada - Communication Complexity


• Edith Law - Design Techniques for Crowdsourcing Complex Tasks


• Erik Andersen - Designing Engaging Learning Experiences


• Daniel Kane - An Optimal Algorithm for the Distinct Elements Problem


• Tanzeem Choudhury - Using Smartphones to Sense, Assess, and Improve Well-Being


• Ross Girshick - Learning Architectures for Visual Object Recognition


• Michael Carbin - Verified Approximate Computing


• Marilyn Claire Wolf - Distributed Smart Cameras for Real-Time Analysis of Human Behavior


• Fernando de Goes - Computational Modeling through Geometric Discretization


• Ippokratis Pandis - Please email csehelp@cs for link to video (file name) ---- Eliminating Unscalable Communication in Transaction Processing, Toward Bionic Databases


• Johan Ugander - Computational Challenges in Large-Scale Social Networks


• Shivnath Babu - DBMS+: The Management System for Next-Generation Databases


• Dafna Shahaf - The Aha! Moment: From Data to Insight


• Mona Attariyan - Finding the Needle in the Haystack: How Dynamic Information Flow Analysis Can Help Diagnose Software Misconfigurations


• Richard Szeliski - Reflections on Image-Based Modeling and Rendering


• Mohammad Alizadeh - Packet Transport Mechanisms for Data Center Networks


• Piotr Dollar - Fast and Accurate Visual Recognition


• George Porter - Going Beyond Scalability to Build Resource-Efficient Data-Intensive Applications


• Eugene Wu - Closing the Loop on Data Analysis


• Gordon Wetzstein - Compressive Imaging and Display Systems


• Keith Winstein - Transport Architectures for an Evolving Internet


• Ameet Talwalkar - Machine Learning in the Wild


• Julian McAuley - Machine Learning for Social Systems: Modeling Opinions, Activities, and Interactions


• Stefanie Jegelka - Efficient Learning with Combinatorial Structure


• Bob Knight - Coevolution of computational tools and next-generation sequencing methods for microbiome studies


• Alvin Cheung - Rethinking the application-database interface


• Soheil Feizi - Network deconvolution as a general method to distinguish direct dependencies in networks


• Brian Granger - Open, Reproducible and Exploratory Data Science

2012-2013 DLS lectures

• Sandeep Shukla - Deliver Us From the Tyranny of Synchronization


• Naehyuck Chang - Hybrid Electrical Energy Storage Systems


• Joe Hellerstein - Keep CALM and Query On


• Katherine Yelick - Antisocial Parallelism: Avoiding, Hiding and Managing Communication


• John Langford - Learning From Lots of Data


• Arvind Krishnamurthy - Towards a More Resiliient Internet


• Andreas Gerstlauer - Models and Architectures for Heterogeneous System Design



2012-2013 Special Lectures:



• Lingjia Tang – Mitigating Resource Contention in Warehouse-scale Computers


• Scott Mahlke – Programming Heterogeneous Systems is Easy if You Don't Care about Performance


• Jianxiong Xiao – A 2D + 3D Rich Data Approach to Scene Understanding


• Peyman Kazemian – Header Space Analysis


• Quoc Le – Scaling deep learning to 10,000 cores and beyond


• Todd Austin – On the Rules of Low Power Design (and Why You Should Break Them)


• Anshul Kundaje – Unraveling the heterogeneity and dynamics of regulatory elements in the human genome


• Ankur Moitra – New Algorithms for Nonnegative Matrix Factorization and Beyond


• Hadi Esmaeilzadeh - Approximate Acceleration for a Post-Multicore Era


• Aditya Parameswaran - Human-Powered Data Management


• Leo Meyerovich – The Parallel Browser for the Rise of Mobile


• Cynthia Lee – Raising the Bar without Burning the Bridge: A Roadmap for Excellence in Undergraduate Education


• Matei Zaharia – Making Big Data Analytics Interactive and Real-Time


• Matthew Rasmussen – Bayesian Models for Genome-wide Analysis of Phylogenies and Populations


• Valeria Bertacco – Multicore processors: will we ever get them right?


• Ryan Williams – Improving Exhaustive Search and Circuit Lower Bounds


• Alexis Battle – Unraveling the genetics of disease using structured probabilistic models


• Isil Dillig – Introspective Static Analysis via Abductive Inference