Consultation Times – Spring Session 2009

Academic
Consultation Day
Consultation Times
Location

Dr Jo Abrantes

Tuesday
Friday

13.30-15.30
13:30-15:30

3.212

Ms Gene Awyzio

Monday
Tuesday

13:30-15:30
10:30-12:30

3.106

Mr Peter Castle

Tuesday
Friday

8:30-10:30
8:30-10:30

3.102

Dr Yang-Wai Chow

Wednesday
Friday

10:30-12:30
14:30-16:30

3.207

Professor John Fulcher

Not teaching in Spring

Not applicable

3.220

Dr Janusz Getta

Tuesday
Wednesday

15:30-17:30
9:30-11:30

3.210

Professor Aditya Ghose

Monday
Tuesday

15:00-16:00
8:30-11:30

3.105

A/Prof Neil Gray

Monday
Tuesday

10:30-12:30
10:30-12:30

3.206

Dr Markus Hagenbuchner

Not teaching in Spring

Not applicable

3.220

Mr Kerry Hinge

Monday
Wednesday

10:30-12:30
10:30-12:30

3.209

Dr Igor Kharitonenko

Monday
Tuesday

13:30-15:30
10:30-12:30

3.108

Dr Wanqing Li

Monday
Tuesday

8.30-10.30
10.30-12.30

3.101

Mr Ashley Maher

Wednesday
Friday

14:30-16:30
13:30-15:30

3.217

Dr Luke McAven

Monday
Wednesday

10:30-12:30
10:30-12:30

3.109

A/Prof Yi Mu

Wednesday
Friday

13:30-15:30
13:30-15:30

3.218

Dr Ian Piper

Thursday
Friday

11:30-13:30
8:30-10:30

3.103

Mr Daniel Saffioti

Tuesday
Thursday

12:30-14:30
16:00-18:00

3.202

Professor Jennifer Seberry

Wednesday
Thursday

11:30-13:30
11:30-13:30

3.215

Professor Willy Susilo

Head of School

By appointment only

3.203

Dr Koren Ward

Thursday
Friday

15:30-17:30
15:30-17:30

3.110

Dr Tianbing Xia

Monday
Wednesday

13:30-15:30
13:30-15:30

3.205

Dr Lei Ye

Tuesday
Thursday

13:30-15:30
10:30-12:30

3.211

A/Prof Minjie Zhang

Not teaching in Spring

Not applicable

3.213

Dr Zhiquan Zhou

Not teaching in Spring

Not applicable

3.208

Last reviewed: 28 July, 2009

Workshops and Seminars

Title: The Application of Microsimulation to Risk Modelling 

Speaker: Mr Duc Thanh Nguyen

Day: Wednesday 4/11/2009
Location
: Building 3. Common Staff Room
Time
: 11.30-12.30

Abstract: Abstract: Human detection from still images and videos is a crucial step of human motion analysis that currently receives much attention in computer vision area. This presentation is to provide a comprehensive review on recent developments of human detection and then present a detection method employing local contour-appearance features. Experimental results and comparison with other state-of-the-art human detection methods will be presented. Finally, trends and future directions will be indicated and discussed by way of posing some of the remaining key problems.

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