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Department of Physics

Spring 2019 Colloquia

All colloquia are held at 4:15 p.m. in CW 102 unless otherwise stated.

Date
Speaker
Institution
Host
Title
1/24Jie LinHarvardB. DePaolaFrom single-cell growth to population growth
1/28Keti KaadzeK-State B. DePaola Exploring the Higgs Sector with the Tau Leptons
2/7Farshid JafarpourUniv. of PennsylvaniaB. DePaola

Statistical Physics of Bacterial Cells and Their Populations

2/11J.T. LavertyK-State B. DePaola

Advancing Physics Education: Including and Assessing Scientific Practices

2/14Kimberly WeirichUniv. of ChicagoB. DePaolaSelf-organization in active biopolymer droplets
2/21Daniel CharleboisStony Brook Univ.B. DePaolaGene Networks and Drug Resistance: Breakthroughs Using Novel Model Systems
2/25Michael SpannerNRC & Univ. of OttawaL. Greenman High-Harmonic Generation is the Sound of the 80s 
2/28Brandon ChoiStanford Univ.B. DePaolaSingle molecule fluorescence reveals dynamic structures of synaptic protein assemblies
3/4March Meeting    
3/11Spring Break   
3/18Christopher FennellOklahoma State Univ. J. Schmit Ingredients in Modeling Water
3/25Joanna BehrmanJohns Hopkins Univ.B. DePaolaNichols Lecture: Bridging Physics and the Household: Madalyn Avery's Career at KSU (CW 103)
4/1Qing RyanCal Poly PomonaE. SayreInvestigating Student Learning in the Upper-division Physics: Difficulties and Assessment
4/8Juliet Gopinath Univ. Colorado, Boulder K. WeerasingheNonlinear chalcogenide optical devices 
4/15April Meeting    
4/22Tulika BoseUniv. of Wisconsin-Madison K. Kaadze

Searching for New Physics with the CMS Experiment at the Large Hadron Collider

4/29Allison KirkpatrickUniv. of Kansas B. RatraDusty Galaxies in the Distant Universe
5/6Elizabeth BehrmanWichita State Univ. B. DePaolaQuantum machine learning for universal quantum computation
Colloquium Committee:  Ellie Sayre (Chair), Andrew Ivanov, Chii-Dong Lin, Bharat Ratra, Gary Wysin, and Javad-Seyyed Robatjazi
S19 F18S18S17 | F16 | S16 F15 S15 F14 | S14 F13 | S13 |F12 | S12 |F11 |S11 | F10 |S10 | F09 |S09
 
 
 

Gene Networks and Drug Resistance: Breakthroughs Using Novel Model Systems