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Event

Class Day 2019

Date and Time
Monday, June 3, 2019 - 1:30pm to 3:00pm
Location
Friend Center Courtyard
Type
Event

The Chair and the Faculty of the Department of Computer Science
invite all graduating seniors to attend... 

Class Day 2019
Departmental Award Ceremony

Monday, June 3, 2019

Join us as we gather at 1:30 pm, Ceremony will begin at 2:00 pm 
under the tent in the Friend Center Courtyard.
Immediately following, there will be SEAS Reception in the Friend Lobby at 3:00 pm
Presentation of SEAS Awards
Friend Courtyard 3:15 pm.

Unsolved Data Problems

Date and Time
Wednesday, March 13, 2019 - 4:30pm to 5:30pm
Location
Computer Science Small Auditorium (Room 105)
Type
Event
Host
Center for Digital Humanities, Department of Computer Science, and the Center for Statistics and Machine Learning

Robot arms playing a keyboard.
Unsolved Data Problems will introduce faculty and students in the computer and data sciences to the untapped research possibilities inherent in humanities data. A panel of Princeton faculty - Meredith Martin (English), Marina Rustow (History and Near Eastern Studies) and Dan Trueman (Music) - will discuss some of Princeton’s landmark digital humanities projects, and the challenges they’ve faced when transforming historical, multilingual and experimental source material into data and code.

Projects discussed include the Princeton Prosody Archive, the Princeton Geniza Lab, and bitKlavier. Jennifer Rexford and Brian Kernighan (Computer Science) will moderate the panel.

Help discover innovative algorithmic solutions to these unsolved computational problems. This panel will be of particular interest to researchers working in the fields of: computer vision, natural language processing, machine learning, and audio/music engineering.

This event is collaboratively organized by the Center for Digital Humanities,  the Department of Computer Science and the Center for Statistics and Machine Learning

Hack Princeton Fall 2018

Date and Time
Friday, November 9, 2018 - 5:00pm to Sunday, November 11, 2018 - 3:00pm
Location
Computer Science Small Auditorium (Room 105)
Type
Event

Twice a year, HackPrinceton welcomes 600 developers and designers from across the country to create incredible software and hardware projects. For 36 hours this fall, from November 9th to 11th, we will provide a warm and collaborative environment for you to build out brilliant, innovative, and impactful ideas.

At HackPrinceton, you'll meet fellow hackers, learn new technologies, and work alongside seasoned mentors. We'll have free food, swag, workshops, lecture series, mentorship, prizes, game, free food, and more. Don't have a team, or even an idea? Don't worry! We'll give you the tools to build something incredible.

Whether you’re new to coding/design/hardware or a seasoned hacker, you have a place at HackPrinceton. All we expect is a passion for learning, a willingness to collaborate with people of different backgrounds, and a desire to benefit the world with technology. We'd love to see you here!

Register here!

Data Science: A View to the Future

Date and Time
Saturday, October 6, 2018 - 9:00am to 10:15am
Location
Friend Center 101
Type
Event

Data Science: A View to the Future

Moderator:
Jennifer Rexford ’91, Gordon Y.S. Wu Professor of Engineering, Professor of Computer Science and Computer Science Department Chair

Panelists:
Jennifer Chayes *83, Technical Fellow and Managing Director of Microsoft Research-New England,  Microsoft Research-NYC, and Microsoft Research-Montreal
Patricia Falcone ’74, Deputy Director, Science and Technology at Lawrence Livermore National Laboratory
Courtney Monk ’01, Manager, Data Science, Chegg, Inc

Program Opening By:
Cathy Chute ’81, Executive Director, Institute for Applied Computational Science; Assistant Dean for Professional Programs, Harvard Paulson School of Engineering and Applied Sciences

This panel is part of She Roars: Celebrating Women at Princeton

Celebrate Princeton Innovation

Date and Time
Thursday, November 8, 2018 - 5:00pm to 8:00pm
Location
Frick Chemistry Building 124
Type
Event

Each year, our research community comes together with friends in the innovation and entrepreneurship ecosystem to celebrate the impacts of University technologies on everyday lives.

Our annual reception honors faculty researchers, postdoctoral researchers, graduate students and undergraduates who are making a difference through their discoveries and entrepreneurial spirit. 

Register here.

Can machine learning trump theory in communication system design?

Date and Time
Friday, August 17, 2018 - 11:30am to 1:30pm
Location
Engineering Quadrangle B205
Type
Event
Host
Prof. H. Vincent Poor & Prof. Yuxin Chen, Electrical Engineering

Abstract:
Design and analysis of communication systems have traditionally relied on mathematical and statistical channel models that describe how a signal is corrupted during transmission. In particular, communication techniques such as modulation, coding and detection that mitigate performance degradation due to channel impairments are based on such channel models and, in some cases, instantaneous channel state information about the model. However, there are propagation environments where this approach does not work well because the underlying physical channel is too complicated, poorly understood, or rapidly time-varying. In these scenarios we propose a completely new approach to communication system design based on machine learning (ML). In this approach, the design of a particular component of the communication system (e.g. the coding strategy or the detection algorithm) utilizes tools from ML to learn and refine the design directly from training data. The training data that is used in this ML approach can be generated through models, simulations, or field measurements. We present results for three communication design problems where the ML approach results in better performance than current state-of-the-art techniques: signal detection without accurate channel state information, signal detection without a mathematical channel model, and joint source-channel coding of text. Broader application of ML to communication system design in general and to millimeter wave and molecular communication systems in particular is also discussed.

Bio:
Andrea Goldsmith is the Stephen Harris professor in the School of Engineering and a professor of Electrical Engineering at Stanford University. She also serves on Stanford’s Presidential Advisory Board, University Budget Group, and Faculty Senate. She previously served as Chair of Stanford’s Faculty Senate and as a member of Stanford’s Commission on Graduate Education, Commission on Undergraduate Education, Committee on Research, Planning and Policy Board, and Task Force on Women and Leadership. She co-founded and served as Chief Technical Officer of Plume WiFi (formerly Accelera, Inc.) and of Quantenna (QTNA), Inc. She has also held industry positions at Maxim Technologies, Memorylink Corporation, and AT&T Bell Laboratories, and she currently chairs the Technical Advisory Boards of Interdigital Corp., Quantenna Communications, Cohere Communications, and Sequans. In the IEEE Dr. Goldsmith served on the Board of Governors for both the Information Theory and Communications societies. She has also been a Distinguished Lecturer for both societies, served as President of the IEEE Information Theory Society in 2009, founded and chaired the student committee of the IEEE Information Theory society, and chaired the Emerging Technology Committee of the IEEE Communications Society. She currently chairs the IEEE TAB committee on diversity and inclusion, and the Women in Technology Leadership Roundtable working group on metrics.

Dr. Goldsmith is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, a Fellow of the IEEE and of Stanford, and has received several awards for her work, including the IEEE ComSoc Edwin H. Armstrong Achievement Award as well as Technical Achievement Awards in Communications Theory and in Wireless Communications, the National Academy of Engineering Gilbreth Lecture Award, the IEEE ComSoc and Information Theory Society Joint Paper Award, the IEEE ComSoc Best Tutorial Paper Award, the Alfred P. Sloan Fellowship, the WICE Technical Achievement Award, and the Silicon Valley/San Jose Business Journal’s Women of Influence Award. She is author of the book ``Wireless Communications'' and co-author of the books ``MIMO Wireless Communications'' and “Principles of Cognitive Radio,” all published by Cambridge University Press, as well as an inventor on 28 patents. Her research interests are in information theory and communication theory, and their application to wireless communications and related fields. She received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from U.C. Berkeley.

Data: The New Killer Application and How Data Is Driving Exciting New Applications Across IoT and Beyond

Date and Time
Saturday, June 2, 2018 - 8:45am to 10:00am
Location
McCormick Hall 101
Type
Event

Alumni-Faculty Forum
Data: The New Killer Application and How Data Is Driving Exciting New Applications Across IoT and Beyond

Moderator: 
-Jennifer Rexford '91, Gordon Y.S. Wu Professor in Engineering, Professor of Computer Science and Chair, Department of Computer Science
Panelists:
-James Shepard ’78, Founder and Managing Partner, GenNx360 Capital Partners
-Angela T. Tucci ’88, CEO, Apto, Inc.
-Jean Hsu ’08, Co-Founder, Co Leadership
-Michael S. Wang ’08, Co-Founder & CEO, SIRL

This event is part of Princeton University's Reunion 2018 celebration

Cold War 2.0: Russian Cybersecurity and Hacking

Date and Time
Friday, June 1, 2018 - 10:30am to 11:45am
Location
McCosh Hall 50
Type
Event

Alumni-Faculty Forum
Cold War 2.0: Russian Cybersecurity and Hacking

Moderator: 
-Jonathan Mayer ’09, Assistant Professor of Computer Science and Public Affairs, Woodrow Wilson School
Panelists: 
-Walter B. Slocombe ’63, former Under Secretary of Defense for Policy, Caplin & Drysdale
-Alexander H. Southwell ’93, Partner, Gibson Dunn & Crutcher LLP
-J. Alex Halderman ’03, Professor of Computer Science & Engineering, University of Michigan
-Ishani Sud ’08 *12

This event is part of Princeton University's Reunion 2018 celebration

Cashing In: The Value and Volatility of Cryptocurrency

Date and Time
Friday, June 1, 2018 - 10:30am to 11:45am
Location
McDonnell Hall A02
Type
Event

Alumni-Faculty Forum
Cashing In: The Value and Volatility of Cryptocurrency

Moderator: 
-Edward Felten, Robert E. Kahn Professor of Computer Science and Public Affairs, Director, Center for Information Technology Policy, and Associate Director, Program in Technology and Society. 
Panelists: 
-Peter Barry ’63, Principal, Peter T. Barry Company
-Michael Shamos ’68, Distinguished Career Professor, School of Computer Science, Carnegie Mellon University
-Alex Sieke ’08, Product Manager, Coinbase
-Sarah Adams ’13, Project Manager, Plaid

This event is part of Princeton University's Reunion 2018 celebration

Class Day 2018

Date and Time
Monday, June 4, 2018 - 1:30pm to 3:00pm
Location
Friend Center Courtyard
Type
Event

The Chair and the Faculty of the Department of Computer Science
invite you and your family to attend... 


Class Day 2018
Departmental Award Ceremony

Monday, June 4, 2018


Light refreshments at 1:30 pm, Ceremony will begin at 2:00 pm 
under the tent in the Friend Center Courtyard.
Immediately following, there will be SEAS Reception in the Friend Lobby at 3:00 pm
Presentation of SEAS Awards
Friend Courtyard 3:15 pm.

Limited space – 4 guests per family

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