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Software development, Computer Architecture simulation/modeling

Location:
Pittsburgh, PA
Posted:
December 13, 2014

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Resume:

Mao-Lin Li

**** ****** ***. ***. ***, Pittsburgh, PA

412-***-****

acg1b0@r.postjobfree.com

Linkedin: http://goo.gl/T3oPQ9

SUMMARY

An experienced researcher/programmer with more than four years of previous experience in software

development. Academic publications and implementation projects include computer architecture

simulation/modeling and relationship analysis in academic social network. Knowledgeable about machine

learning, natural language processing with solid working experience.

CORE SKILLS

• Programming Languages:

C/C++, SystemC, Java, Python, Matlab, Shell Script

• Systems:

Developed a personal healthcare system which adapting component-based design approach in Slow

Intelligence System (provided by Computer Science Department in University of Pittsburgh).

- Established multiple components which controlling different sensors (Blood Pressure, ECG, SPO2…).

- Design an integrated control panel GUI to manipulate and monitor the status of various sensors.

• Professional Research:

Computer Architecture simulation/modeling - Bus, Memory, Nanophotonic Interconnection.

Social Network Analysis - Academic social network modeling and relationship evaluation.

EXPERIENCE

Research Assistant, University of Pittsburgh; Pittsburgh, PA 2014-Present

• Developed a personal healthcare system that monitoring patients’ health status in real-time.

• Implemented system with component-based approach in Java, including graphic users interface (GUI),

server/client communication, remote database manipulation and multiple sensor controlling.

Teaching Assistant, University of Pittsburgh; Pittsburgh, PA 2012-2014

• Introduction to Computer Architecture

• Intermediate Programming using Java

• Introduction to Computer Programming (Python)

Research Assistant, National Tsing Hua University; Taiwan 2008-2011

• Designed a two-phase arbiter model that speed up simulation performance 20 times than traditional

simulation approach in Multiprocessor System on Chip platform.

• Implemented in C++ with SystemC library.

• Related publication won Outstanding Paper Award out of 72 papers in international workshop.

PATENT

Full Bus Transaction Level Modeling Approach for Fast and Accurate Contention Analysis

United States 201********, publication date: 02/28/2013

AWARDS

• Art & Science Graduate Fellow in University of Pittsburgh, 2012-2013.

• Outstanding Paper Award in SASIMI International Workshop 2012 (out of 72 papers)

“ A Formal Full Bus TLM Modeling for Fast and Accurate Contention Analysis”

• Excellent work in Undergraduate Special Topic Project Competition, 2007

“Digital Frame Application in ARM-s3c2410 Development Board”

PUBLICATIONS (HTTP://GOO.GL/T3OPQ9)

• Computer Architecture Simulation and Modeling Related: (Journal: 1, Conference: 6)

• Social Network Analysis Related: (Journal: 1, Conference: 1)

PROJECTS

Performance Prediction in MLB Game (Machine Learning)

• Adapted three machine learning algorithms: Naïve Bayes, Alternating Decision Tree and Adaptive Boost

with wrapper feature selection to predict the performance of Pittsburgh Pirates baseball team.

• Implemented in Python with Weka toolset.

• Achieved more than 70% accuracy in prediction.

Automatic Grading System (Natural Language Processing)

• Developed an automatic grading system which combing bag-of-word, latent semantic analysis and textual

entailment techniques to grade short-answer question.

• Implemented in Python and Java with Weka toolset.

• Achieved 50% accuracy in final result.

A Sensor-Cloud Simulation Platform with Slow Intelligence System (Software Engineering)

• Created a sensor-cloud platform with component-based approach that simulates the multiple sensors to

collect temperature information within Pittsburgh area and upload it to database for further analysis.

• Personally implemented component from scratch in Java.

Two-Pass Token Stream Arbitration on Nanophotonic Interconnection (Nanophotonic Interconnection)

• Implemented a nanophtonic interconnection model in a 64 cores system that supporting multiple-reader,

multiple writer (MWMR) with two-pass token stream arbitration policy.

• Designed a centralized software architecture and implemented in C++ with SystemC library.

• Achieved 100 % cycle-accurate simulation accuracy.

A Genetic Algorithm-based Approach to Maximize Application Throughput in Multicore System

(Multicore System Optimization)

• Designed a genetic algorithm-based approach that optimizing the thread assignment to maximize application

throughput in Multi-core system (64 cores).

• Implemented in Python and Bash script.

• Achieved 50% converge time compares with brutally searching

An Automatic TLM Bus Generator for Communication Architecture Exploration (Transaction Level

Modeling)

• Designed a transaction level model bus generator that can automatically generates cycle-accurate (CA) and

cycle count accurate (CCA) level bus model simultaneously.

• Proposed CCA bus model achieves 20 times speedup in simulation performance with 100% accuracy.

• Won Outstanding Paper award in SASIMI workshop 2012 (out of 72 papers).

EDUCATIONS

• University of Pittsburgh, Pittsburgh, PA M.S. in Computer Science, 2014

• National Tsing Hua University, Taiwan M.S. in Computer Science, 2011

• National Sun-Yat Sen University, Taiwan B.S. in Computer Science and Engineering, 2008



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