BlueJay ADAL

The Advanced Data Analytics Lab (ADAL) at Elizabethtown College

  • Unleash the power of data
  • Awaken your enthusiasm in data science
  • Pursue your career as a data scientist

Checkout ADAL

Avatar

Peilong Li

Assistant Professor

Elizabethtown College

Biography

Dr. Peilong Li is an Assistant Professor at Elizabethtown College. He is oversees the Data Science Major and runs the Advanced Data Analytics Lab (ADAL) at the college. Prior to joining Etown, Dr. Li was a Research Assistant Professor at University of Massachusetts Lowell. His research interests include Machine Learning, Software Defined Infrastructure, Big Data Analytics, and Parallel Computing and Computer Architecture. He has received three research grants from funding agencies including National Science Foundation and Intel Corporation.

Interests

  • Machine Learning
  • Software Defined Infrastructure
  • Big Data Analytics
  • Parallel Computing and Computer Architecture

Education

  • Ph.D., Computer Engineering, 2016

    University of Massachusetts Lowell

  • BS, Electrical Engineering, 2011

    Qingdao University of Science and Technology

Experience

 
 
 
 
 

Assistant Professor

Department of Computer Science, Elizabethtown College

Jul 2018 – Present PA
 
 
 
 
 

Research Assistant Professor

Department of Electrical and Computer Engineering, UMass Lowell

Jul 2017 – Jun 2018 MA
 
 
 
 
 

Post-Doctoral Research Associate

Advanced Computing and Networking Systems (ACANETS) Laboratory, UMass Lowell

Jul 2016 – Jun 2017 MA

Research Grants Involved

Intel Corp. Grant 2020
  • Co-PI and major proposal writer: Machine Learning Based Network Traffic Analysis on Intel Processors.
  • Amount: $499,999.00
Intel Corp. Grant 2018
  • Co-PI and major proposal writer: Machine Learning Based Encrypted Network Traffic Analysis on Intel Processors.
  • Amount: $499,999.00
NSF 17-528 CICI
  • Co-PI and major proposal writer: CICI: RSARC: SECTOR: Building a SEcure and Compliant Cyberinfrastructure for Translational Research.
  • Award number: NSF #1738965
  • Amount: $999,651.00

Intel Academic Grant 2017
  • Major proposal writer: Performance Evalulation and Optimization of Network Functions in DPDK Environment.
  • Amount: $50,000.00

NSF 16-533 CICI
  • Proposal writer: CICI: Secure Data Architecture: STREAMS: Secure Trans- port and REsearch Architecture for Monitoring Stroke Recovery.
  • Award number: NSF #1547428
  • Amount: $515,858.00

NSF 14-547 I-Corps
  • Entrepreneur Lead and proposal writer: SDNatics: Big Data Analytics of Software Defined Networks to Understand, Predict and Protect Critical Computer Networks.
  • Award number: NSF #1530989
  • Amount: $50,000.00

Teaching

For details, visit my Courses page:

Courses I am teaching at Elizabethtown College:

  • DS 200: Introduction to Data Science
  • DS 300: Data Mining
  • DS 315: Statistical Learning
  • DS 400: Big Data
  • DS 452: Data Science Capstone
  • CS 113 (NPS core): The Power and Beauty of Programming (in Python)
  • CS 121: Computer Science I (in Java)
  • CS 222: System Programming (in C)
  • CS 400: Projects in Computing
  • CS 495: Honors Projects in Computing
  • EGR 401: Senior Project in Engineering I
  • EGR 402: Senior Project in Engineering II

Courses I taught (or guest-lectured) at University of Massachusetts Lowell:

Honor & Awards

Outstanding Graduate Student - May 2016
  • Francis College of Engineering, University of Massachusetts Lowell.

ACM ANCS 2016 Travel Award - Sep. 2016
  • For travel expenses on attending ACM Architectures for Networking and Communications Systems Conference (ANCS).
  • Amount: $750.00

IEEE NAS 2015 Travel Award - Aug. 2015
  • For travel expenses on attending IEEE Networking, Architecture, and Storage Conference (NAS).
  • Amount: $850.00

GENI Travel Award - 2014
  • For travel expenses on attending GENI Engineering Conference.
  • Amount: $1,500.00

Recent Publications

Quickly discover relevant content by filtering publications.

ChainSDI: A Software-Defined Infrastructure for Regulation-Compliant Home-Based Healthcare Services Secured by Blockchains

Healthcare networking and computing infrastructure is rapidly changing from closed environments to open environments that incorporate …

A Review of Secure and Privacy-Preserving Medical Data Sharing

In the digital healthcare era, it is of the utmost importance to harness medical information scattered across healthcare institutions …

A Blockchain Future for Secure Clinical Data Sharing: A Position Paper

In the digital healthcare era, it is utmost important to harness medical information scattered across healthcare institutions to …

A programmable policy engine to facilitate time-efficient science DMZ management.

The Science DMZ model employs dedicated network infrastructures and advanced software techniques for large-volume scientific research …

EQuery: Enable event-driven declarative queries in programmable network measurement

Network measurement is critical in network management such as performance monitoring, diagnosis, and traffic engineering. However, …

Contact