BlueJay ADAL

The Advanced Data Analytics Lab (ADAL) at Elizabethtown College

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  • Awaken your enthusiasm in data science
  • Pursue your career as a data scientist

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Peilong Li

Assistant Professor

Elizabethtown College

Biography

Dr. Peilong Li is an Assistant Professor at Elizabethtown College. He currently servers as the Program Director of the Computer Science and Data Science Programs. Prior to joining Etown, Dr. Li was a Research Assistant Professor at University of Massachusetts Lowell. His research interests include Machine Learning, Big Data Analytics, Cybersecurity and High-Performance Computing. He has received research grants from funding agencies including National Science Foundation, Intel and Google. He has also established the Advanced Data Analytics Lab (ADAL) for undergraduate student research at the college.

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

Current Grants

Google Cloud Research Award 2022-2023
  • PI: IoTSec: Edge Network Malware Detection with Deep Learning for Smart Home.
  • Duration: 07/15/2022 - 07/16/2023
  • Amount: $5,000.00
Google Cloud Teaching Award 2022-2023
  • PI: Cloud credits for supporting students and instructors in the course of CS 363 Computer Security.
  • Duration: 07/14/2022 - 08/22/2023
  • Amount: Up to $5,000.00
Intel Corp. Grant 2022
  • Co-PI and major proposal writer: Accelerated Malware Detection in Executable Files with Machine Learning.
  • Duration: 12/01/2021 - 11/30/2022
  • 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. link
  • Duration: 09/01/2017 - 08/30/2022
  • Award number: NSF #1738965
  • Amount: $999,651.00

Past Grants

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
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 420: Big Data
  • DS 495: Data Science Capstone
  • CS 113 (NPS core): The Power and Beauty of Programming (in Python)
  • CS 121: Computer Science I (in Python)
  • CS/EGR 222: Systems Programming (in C)
  • CS 363: Computer Security
  • 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

Merit Award in Teaching and Advising - May 2021
  • Elizabethtown College. Only three faculty members in the whole college received this award.

Merit Award in Scholarship and Professional Activity - May 2020
  • Elizabethtown College.

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.

Multi-Task Hierarchical Learning Based Network Traffic Analytics

Classifying network traffic is the basis for important network applications. Prior research in this area has faced challenges on the …

Machine learning based malware detection on encrypted traffic: A comprehensive performance study

The increasing volume of encrypted network traffic yields a clutter for hackers to use encryption to spread their malicious software on …

Blockchain-based secure and privacy-preserving clinical data sharing and integration

This paper is an exploration to securely integrate geo-scattered medical data silos and to provide privacy-preserving data sharing via …

ACETA: Accelerating Encrypted Traffic Analytics on Network Edge

Applying machine learning techniques to detect malicious encrypted network traffic has become a challenging research topic. Traditional …

Netml: A challenge for network traffic analytics

Classifying network traffic is the basis for important network applications. Prior research in this area has faced challenges on the …

Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain

In the era of cloud computing and big data analysis, how to efficiently share and utilize medical information scattered across various …

Ripple: An Efficient Runtime Reconfigurable P4 Data Plane for Multicore Systems

The P4 language was originally proposed as a means of providing programmable network data plane functions with the potential to …

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 …

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