Select a calendar:
Filter January Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for January 12, 2016
-
Chevron Engineering Week Student Design Competition Application Deadline
Tue, Jan 12, 2016
Mork Family Department of Chemical Engineering and Materials Science
Student Activity
Viterbi Students are invited to participate in the 2016 Chevron Engineering Week Competition.
Competitions will be based on participation by teams each consisting of 7 students (Undergraduate and or/graduate) from any discipline studying at the USC Viterbi School of Engineering. Each team needs to select a team leader who must submit an application and must include the names of team members. No team additions/substitutions are allowed after the application has been submitted.
Application Deadline 12 noon PST January 14, 2016. Submit applications: https://uscviterbi.qualtrics.com/SE/?SID=SV_eQfcE6BabUzRAiN
Questions will be distributed to team leaders on January 15, 2016
Team projects are due Feb. 12, 2016
Presentations will be during Engineering Week (Feb 22-26)
Category 1 Petroleum Engineering Question
Category 2: Chemical Engineering Question
Application Deadline/ Rules:
1-No Faculty help may be solicited for the project.
2-Solution to Challenge question is due at 12 noon PST on February 12, 2016. Solution in digital format must be submitted to legat@usc.edu
3-The winning Team will be announced during Engineering Week.
4-All the engineering computations and backup materials must be included in the solution submitted.
Best of Luck!
Audiences: Everyone Is Invited
Contact: Juli Legat
-
USC Stem Cell Seminar: Rudolf Jaenisch, Massachusetts Institute of Technology
Tue, Jan 12, 2016 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Rudolf Jaenisch, Member, Whitehead Institute for Biomedical Research; Professor of Biology/ Massachusetts Institute of Technology
Talk Title: iPS cell technology and disease research
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Abstract: The development of iPS cell technology has revolutionized our ability to study human diseases in defined in vitro cell culture systems. A major problem with using iPS cells for this "disease in the dish" approach is the choice of control cells, because of the unpredictable variability between different iPS/ES cells to differentiate into a given lineage. Recently developed efficient gene editing methods such as the CRISPR/Cas system allow for the creation of genetically defined models of monogenic as well as polygenic human disorders. This seminar will cover the state of pluripotency, disease modeling and iPS cells, and Parkinson's disease.
Host: Qi-Long Ying
More Info: https://stemcell.usc.edu/events/details/?event_id=916785
Location: First Floor Seminar Room
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
Event Link: https://stemcell.usc.edu/events/details/?event_id=916785
-
CS Colloquium: Emilio Ferrara (USC ISI) - Predicting human behavior in techno-social systems: fighting abuse and illicit activities
Tue, Jan 12, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Emilio Ferrara, Information Sciences Institute
Talk Title: Predicting human behavior in techno-social systems: fighting abuse and illicit activities
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
The increasing availability of data across different socio-technical systems, such as online social networks, social media, and mobile phone networks, presents novel challenges and intriguing research opportunities. As more online services permeate through our everyday life and as data from various domains are connected and integrated with each other, the boundary between the real and the online worlds becomes blurry. Such data convey both online and offline activities of people, as well as multiple time scales and resolutions.
In this talk, I'll discuss my research efforts aimed at characterizing and predicting human behavior and activities in techno-social worlds: starting by discussing network structure and information spreading on large online social networks, I'll move toward characterizing entire online conversations, such as those around big real-world events, to capture the dynamics driving the emergence of collective attention and trending topics. I'll describe a machine learning framework leveraging these insights to detect promoted campaigns that mimic grassroots conversation. Aiming at learning the signature of abuse at the level of the single individuals, I'll illustrate the challenges posed by characterizing human activity as opposed to that of synthetic entities (social bots) that attempt emulate us, to persuade, smear, tamper or deceive. I'll draw a parallel with detecting illicit activities in the real world leveraging the traces left by criminals' interactions via mobile phones.
I'll conclude envisioning the design of computational systems that will help us making effective, timely decisions (informed by social data), and create actionable policies to contribute create a better future society.
Biography: Dr. Emilio Ferrara is a Computer Scientist at the USC's Information Sciences Institute. Ferrara's research interests include designing machine-learning systems to model and predict individual behavior in techno-social systems, characterize information diffusion and information campaigns, and predict crime and abuse in such environments. He has held research positions in institutions in Italy, Austria, and UK (2009-2012). Before joining USC in 2015, he was a Research Assistant Professor at the School of Informatics and Computing of Indiana University (2012-2015).
Ferrara earned a Ph.D. in Mathematics and Computer Science from University of Messina (Italy), and has published over 60 articles on machine learning, network science, and social media, appeared in top venues including PNAS, Communications of the ACM, Physical Review Letters, and several ACM and IEEE transactions and top conferences (WWW, CSCW, etc.). His research on social network abuse and crime prediction has been featured on the major news outlets (TIME, BBC, The New York Times, etc.) and tech magazines (MIT Technology Review, Vice, Mashable, New Scientist, etc). His research has been supported by DARPA, ONR, and IARPA.
Ferrara is Guest Editor of two special issues on network science and computational social sciences, published respectively on EPJ Data Science and Future Internet. He's member of the PC for conferences including ACM WWW, ICWSM, and SocInfo. Ferrara is co-chair of workshops recurring at ECCS, WWW, SocInfo, and WebScience; he was Local & Sponsor Chair of ACM Web Science 2014 and Publicity co-chair of SocInfo 2014. In 2015, Ferrara was named IBM Watson Analytics VIP Influential in Big Data.
Host: Computer Science Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
-
Epstein Institute Seminar - ISE 651
Tue, Jan 12, 2016 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Denis Cormier, Rochester Institute of Technology
Talk Title: Multifunctional 3D Printing
Host: Yong Chen
More Information: January 12, 2016_Cormier.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Michele ISE
