Lightning Research Introduction Seminars Series 2 (Fall 2015)

21 September 2015 (Monday)

Seminar: Lightning Research Introduction Seminar (2)

Date: 21 September 2015 (Monday)

Time: 4-5pm (light refreshment will be arranged outside the LTF after the seminar)

Venue: LTF (near lifts 25/26), HKUST

Host: Prof. Dekai WU (Seminar Coordinator)

Speakers: CSE Faculty Members

1. Dekai WU
2. Gary CHAN
3. Mordecai GOLIN
4. Qian ZHANG
5. Chiew-Lan TAI
6. Jogesh MUPPALA
7. Wei WANG
8. Dimitris PAPADIAS
9. Dik-Lun LEE
10. Sunghun KIM

Schedule

Full Video Playback

Abstracts

Talk 1

Title: "The Key to Intelligence"

Speaker: Prof. Dekai WU

Talk 2

Title: "Unleashing Research Impacts through Technology Transfer"

Speaker: Prof. Gary CHAN

Abstract:

Research can make deep and broad impacts to industry. I will present my 
research topics on multimedia and wireless networking, and discuss my 
approach to make them relevant to industry.

Talk 3

Title: "My recent work in Theoretical Computer Science and Discrete 
Mathematics"

Speaker: Prof. Mordecai GOLIN

Abstract:

In this talk I will give short overview of some of my recent work in 
Theoretical Computer Science and Discrete Mathematics with examples from 
Graph Algorithms (designing good emergency evacuation protocols), 
Probabilistic Geometry (predicting the running time of database skyline 
query algorithms) and data structures (efficient construction of Optimal 
Binary Comparison Trees).

Talk 4

Title: "Let us Make Communication Experience BETTER!"

Speaker: Prof. Qian ZHANG

Abstract:

In this talk, I will briefly introduce the various research conducted in my 
group that target at making our communication experience better, with 
focuses on condensed WiFi network performance enhancement and visible light 
positioning.

Talk 5

Title: "User Interfaces and Interaction Techniques"

Speaker: Prof. Chiew-Lan TAI

Abstract:

I will show some results of our recent projects on user interfaces and 
interaction techniques.

Talk 6

Title: "AntEater: Challenging your Automatic Negative Thoughts"

Speaker: Dr. Jogesh MUPPALA

Abstract:

Automatic negative thoughts (ANTs) plague many people and are a big drain 
on their motivation and enthusiasm. This project aims users at helping 
combat their ANTs. At the same time, using a backend cloud-based big data 
analytics the system facilitates psychological intervention with the help 
of trained psychologists to assist people in need of counseling. The 
approach makes addressing mental health issues affordable, accessible and 
scalable to large populations.

Talk 7

Title: "Big Data in Cloud: Challenges and Opportunities"

Speaker: Dr. Wei WANG

Abstract:

Cloud computing realizes the long-held ambition of big data processing. By 
pooling a large number of commodity servers into a cluster, cloud computing 
allows big data applications - such as web search and social networks -
to scale up to hundreds or even thousands of nodes, accommodating their 
ever-growing demand for computing cycles. Processing data at such a large 
scale poses some major challenges on the design and implementation of big 
data systems. In this talk, I will briefly review these challenges and 
highlight some of my ongoing projects on resource management and scheduling 
in big data systems.

Talk 8

Title: "Dimitris Papadias: Current Topics of Research"

Speaker: Prof. Dimitris PAPADIAS

Abstract:

I will give a brief overview on three topics that are the focus of my 
current research. (i) Geosocial networks: we work on indexing and 
processing algorithms for various query types that combine social, 
geographic and/or textual aspects. (ii) Multi-criteria graph partitioning: 
our goal is to partition the graph into a set of input classes that 
minimize the assignment cost of each user, as well as the pairs of friends 
assigned to different classes. (iii) Uncertain graphs: we aim at efficient 
query processing techniques by extracting deterministic representatives or 
sparcifying the input graph.

Talk 9

Title: "Modeling User Interests from Online Interactions"

Speaker: Prof. Dik LEE

Abstract:

What are you really interested in? What have you done lately? These are 
the questions parents would like to ask about their kids, bosses to know 
about their employees and advertising agents to measure on their clients. 
In this survey, I will talk about different types of interests, how to 
characterize them and a few applications.

Talk 10

Title: "Crowd Debugging"

Speaker: Dr. Sunghun KIM

Abstract:

Research shows that, in general, many people turn to QA sites to solicit 
answers to their problems. We observe in Stack Overflow a huge number of 
recurring questions, 1,632,590, despite mechanisms having been put into 
place to prevent these recurring questions. Recurring questions imply 
developers are facing similar issues in their source code. However, 
limitations exist in the QA sites. Developers need to visit them 
frequently and/or should be familiar with all the content to take 
advantage of the crowd’s knowledge. Due to the large and rapid growth of 
QA data, it is difficult, if not impossible for developers to catch up. To 
address these limitations, we propose mining the QA site, Stack Overflow, 
to leve rage the huge mass of crowd knowledge to help developers debug 
their code. Our approach reveals 189 warnings and 171 (90.5% ) of them are 
confirmed by developers from eight high-quality and well-maintained 
projects. Developers appreciate these findings because the crowd provides 
solutions and comprehensive explanations to the issues. We compared the 
confirmed bugs with three popular static analysis tools (FindBugs, JLint 
and PMD). Of the 171 bugs identified by our approach, only FindBugs 
detected six of them whereas JLint and PMD detected none.