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Faculty

 

Hongjing Lu

hongjing@ucla.edu

Professor, Departments of Psychology & Statistics

The University of California, Los Angeles

3457 Franz Hall, Office #: 310-206-2587

Hongjing's Curriculum Vitae

Postdocs

 

Gennady Erlikhman

I'm interested in how the visual system aggregates form and motion information over time into unitary percepts of individual objects. For example, when you glimpse a house between the slats of a fence while driving, the impression is of a single, large object, even though in each "frame" or perceptual moment only a sliver of the object projects to the eye. I study this and related processes with psychophysical, neuroimaging, and computational methods.  <webpage> email

Graduate Students

 

 

James Kubricht

While working toward my B. S. in physics from the University of Texas at Austin, I pursued research in cognitive psychology, specifically machine learning and computational approaches to category leaarning. At UCLA, I'm pursuing research in analogical reasoning and intuitive physics from a computational perspective. I am interested in developing a computational framework of analogy which explains how knowledge of a source system is generated from basic perceptual inputs, and how depth of source knowledge affects implicit and explicit analogical transer. Furthermore, I am interested in how the quality of source representation is influenced by the method of source instruction, i.e., are animated source display more intuitive than verbal/diagram displays, and if so, do transfer rates to novel target problems reflect this increase in apparent source understanding. <webpage> email

 

 

 

Yujia Peng

I pursued research in visual perception on various topics, such as attention and face perception, during my undergraduate years at Peking University. At UCLA, I'm studying motion perception, especially "biological motion", including the biological motion perception in adults, infants and clinical populations such as Schizophrenia and Autism. I aim to address some key questions as (1) how constraint-based mechanisms emerge in the course of development during infancy for biological motion perception; (2) individual differences in applying these constraints for biological motion perception; and (3) what constrained, rational models can be developed to account for behavioral data. <webpage> email

 

Akila Kadambi

I received my B.S. in Cognitive Science from the University of California, San Diego. My primary research interest involves understanding how our visual system is able to perceive and understand sophisticated human actions and movements. By integrating computational modeling techniques and psychophysical and behavioral experimentation, I aim to gain a fine-tuned representation of how our visual system can support complex action understanding and reasoning. Currently, I am utilizing point-light displays to construct various biological actions, and plan to investigate impairments in action perception working in conjunction with clinical populations such as Autism and Schizophrenia. <webpage> email

 

Hannah Lee

I received my B.A. in psychology from Duksung Women’s University, Seoul, Korea. I have been interested in investigating a putative link between biological motion perception and higher-level social cognition. My previous work involves examining how emotion information conveyed by biological motion stimuli influences the perceptual threshold or how those with impaired social cognition, especially patients with schizophrenia, fail to benefit from social cues embedded in biological motion in working memory tasks. At UCLA, I aim to expand my understanding of the unique mechanisms of biological motion perception by employing paradigms that tap into lower-level perceptual processes. <webpage> email

 

 

 

 

Nick Ichien

I received a BA in psychology at New York University and an MSc in the philosophy of social science at the London School of Economics. Broadly, I am interested in mental representations in higher cognition. Humans are able to think and reason about themselves and others, their environment, fictional environments, and abstractions (e.g. mathematical systems) in a variety of ways. Mental representations can be thought of as the kinds of entities through which thoughts are "about" these things, and they are integral to a lot of psychological explanations. More specifically, I am interested in what phenomena like analogical reasoning, metaphor comprehension, and causal reasoning indicate about the human cognitive system and its representations. Under Hongjing Lu and Keith Holyoak, and I am working on a project examining a particular kind of mental representation, one that allows humans to understand various entities as being related to each other in various ways. This ability includes being able to see that the following entities instantiate the italicized relations: that a spear is a kind of weapon, that gluttony is an excessive form of eating, that the value 10 is 2 plus or 2 more than 8. We are modeling the emergence of these representations at the computational level and are examining to what extent aspects of this computational account can predict human behavior and neural activity. <webpage> email

Undergraduate Students

Janice Lau; Michael Finch; Kimson Nguyen; Steven Gomedi; Nikola Lazovich; Matthew Weiden; Timothy Tanaka; Shawna Kim; Jonny Chan; Nora Hamadan; Thach Nguyen; Jennifer Chng; Kevin Ruiz; Perla Saldivar; Mike Kim; Lin Bian; Victor Louie, Mark Corre, Angela Ninoyan, Cecilia Chen; Kimson Nguyen, Jeff Chiang, Angela Ninoyan, Sohrab Danaei; Crystal Mac; Nicole Mcintyre; Vivienne Lee; Vatche Vahram Yerganyan; Mariam Ter-Petrosyan; Dianna Manukyan; Fang-wei Hsu; Angela Azniv Ninoyan; Crystal Mac; Yeeun Chun; Maxwell Mansolf; Liseth Aide Magana;

FORONDA, AUDREY; GILL, NICHAAL KAUR; RUIZ, KEVIN LOUIS; Liu, Wai Lun Willie; CHANG, FREDERIC; KHALILI KALIMI, IZABEL; LEE, VIVIENNE HUANG; GALA, ADITI SURESH; HSIAO, YAO; HUANG, CHIN-WEI ANDY; ZU, YUANYUAN; DESAI, ROSHNI KIRAN; DUBIN, WILLIAM ALEXANDER; KIM, JI HYE; TRAN, TIFFANY THAO; WANG, RAPHAEL (LUXING); VASQUEZ, BRENDA; DESAI, ROSHNI KIRAN; DUBIN, WILLIAM ALEXANDER; KIM, JI HYE; LITTLE, ERIC WAYNE; WANG, KEJIA; ZHU, TIANYI; CRUZ, DANNIE-ROSE GALINO; GALA, ADITI SURESH; HSIAO, YAO; HAN, GUOYAO; JOHNSON, DREONNA MARI; CAPARELLI, ALYSSA MARIE; CHOUDRY, KOMEL JAMAL; HANNUM, NOELLE ELIZABETH; HE, JIAHUI; JAVANGULA, PRATYUSHA RAJESWARI; LEVINE, MOSHE DANIEL; MARSISKE, MICHELLE ANNALENA; SAFARI, TABITHA; TRAN, TIFFANY THAO; WANG, RAPHAEL; XIONG, YA YANG; LU, SHIYANG; WEISGERBER, KEN ; VU, ASHLEY NICOLE PHUONG HA; GARRETT, AVERY ANNE

Alumini

Joseph Burling UCLA infant lab <webpage>
Junzhu Su Oracle <webpage>
Steven Thurman Senior research scientist, ARMY Research Lab <webpage>
Jeroen J. A. van Boxtel Associate Professor, Monash University, Australia <webpage>
Alan Lee Assistant Professor, NanYang Technological University, Singapore <webpage>
Randall R. Rojas Assistant Professor, Department of Economics, UCLA <webpage>
Shuang Wu Dataist Company
Xuming He Senior research scientist, Computer Vision Group, NICTA, Australia
Matt Weiden UCSB CS Graduate Program