Ying Wang (ywang6)

Ying Wang

Associate Professor

School of Systems and Enterprises

Research

Dr. Ying Wang's primary research interests are cybersecurity and wireless communications, as well as health AI.
Interested research areas include:
• AI-based data-driven 5G and nextG platform to address transparency and reasoning for end-to-end cybersecurity.
• Quantum Computing and Q-Learning based Distributed Beamforming and Re-forming for Collaborative UAS in Space Air and Ground Integrated Networks
•Interdisciplinary research leveraging secure, high-performance, and resilient wireless technologies to enable intelligent, deployable discoveries and insights at various verticals, including healthcare, cv2x, and UAVs.
•Cyber-physical systems and security
•Telehealth, IoMT, and content-aware, edge-centered medical decision support system

General Information

Dr. Ying Wang has broad experience in industry and academia and interdisciplinary knowledge in wireless communications, health informatics, software engineering, and data mining.

Education:
• Ph.D., Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA
•MS, Electrical Engineering, University of Cincinnati, Cincinnati, OH
•BS, Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China

Institutional Service

  • GCC Chair
  • DEI Member
  • SSE Graduate Student Awards Committee Chair
  • Stevens CAREER Club, Member
  • VPRI Candidate Committee for Research Intensive Faculties Member
  • SSE Graduate Student Awards Committee Member

Professional Service

  • IoT Journal Associate Editor
  • IEEE CloudNet Conference Local Chair
  • IEEE Healthcom Technical Program Committee
  • ACM SIGCOMM 2022 5G MeMU Workshop Chair
  • HealthInfo 2022 Session Chair
  • ACM 2021 Session Chair
  • ACM SIGCOMM 2021 Technical Program Committee

Appointments

Associate Professor, School of Systems and Enterprises (August 2021 - Present), Stevens Institute of Technology, Hoboken, NJ

Professional Societies

  • NSC – National Spectrum Consortium Member
  • Next G Alliance – Next G Alliance Member
  • IEEE ComSoc – IEEE Communications Society Member

Patents and Inventions

Ying Wang, Robert Pitchford, Stephen Holter, “Techniques for Providing Customized Exercise-Related Recommendations”, U.S Patent Granted, 2017
Ying Wang, Charles W. Bostian, “Dynamic Cellular Cognitive System”, U.S Patent Granted, 2009
Ying Wang, Rick Halstead, “Live Network Real Time Intelligent Analysis on Distributed System”, U.S Patent Granted, 2019
Michelle Zhou, Ying Wang, Wen-De Chang, Satya P. Yandra, Erfaun Noorani, Smart Home Network Security Through Blockchain, U.S Patent Granted, 2018

Selected Publications


5G RRC Protocol and Stack Vulnerabilities Detection via Listen-and-LearnJ Yang, Y Wang, TX Tran, Y Pan2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 236-241

Characterization of Low-Latency Next-Generation eVTOL Communications: From Channel Modeling to Performance EvaluationB Mak, S Arya, Y Wang, J AshdownElectronics 12 (13), 2838

Towards the Designing of Low-Latency SAGIN: Ground-to-UAV Communications over Interference ChannelS Arya, J Yang, Y WangDrones 7 (7), 479

Automated Vulnerability Testing and Detection Digital Twin Framework for 5G SystemsD Dauphinais, M Zylka, H Spahic, F Shaik, J Yang, I Cruz, J Gibson, IEEE 9th International Conference on Network Softwarization (NetSoft2023)

Introduction of Electric Vertical Takeoff and Landing System with Systemigram Approach B Mak, M Mansouri, Y Wang2023 18th Annual System of Systems Engineering Conference (SoSe), 1-8

SmiLe Net: A Supervised Graph Embedding-Based Machine Learning Approach for NextG Vulnerability Detection Yifeng Peng, Jingda Yang, Sudhanshu Arya, Ying Wang, IEEE Military Communications Conference

HyFuzz: A NextG Hybrid Testing Platform for Multi-step DeepFuzzing and Performance Assessment from Virtualization to Over-the-Air, Jingda Yang and Ying Wang, IEEE Cloudnet 2023

From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis, Shiyu Yuan, Jingda Yang, Sudhanshu Arya, Carlo Lipizzi and YingWang, IEEE Cloudnet 2023

NLP-based Cross-Layer 5G Vulnerabilities Detection via Fuzzing Generated Run-Time Profiling, Zhuzhu Wang and Ying Wang, IEEE Cloudnet 2023


Ying Wang, Ting Liao, "Data Integrity and Causation Analysis for Wearable Devices in 5G" , IEEE International Conference on E-health Networking, Application & Services, 17-19 October 2022, Genoa, Italy

Ishan Aryendu, Ying Wang, Farah Elkourdi, Eman Alomar "Intelligent Code Review Assignment for Large Scale Open Source Software Stacks", 2022 Workshop on Human Centric Software Engineering and Cyber Security

Stoney Trent, Hoong Yan See Tao, Ying Wang, Paul Grogan, Christian Lucero, Defense Data Grand Prix: Solving Grand Problems to Meet a Grand Vision, AIRC Perspectives, June, 2022

Ying Wang, Shashank Jere, Soumya Banerjee, Lingjia Liu, Sachin Shetty, Shehadi Dayekh, “Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis,” in IEEE International Conference on High Performance Switching and Routing, Taicang, Jiangsu, China, 6–8 June, 2022

Ying Wang, Patricia Chan, Janusz Wojtusiak, “From Wearable Device to OpenEMR: 5G Edge Centered Telemedicine and Decision Support System”, Accepted, the 15th International on Health Informatics, 09-11 Febrary, 2022

Ying Wang, Adam Gorski, Luiz DaSilva, “AI Powered Real Time Channel Awareness and 5G NR Radio Access Network Scheduling Optimization”, Design of Reliable Communication Networks, Milan, Italy, April, 2021

Ying Wang, Adam Gorski, Aloizio Pereira da Silva, Development of a Data-Driven Mobile 5G Testbed: from Emerging Research to Engineering Practice, IEEE International Mediterranean Conference on Communications and Networking, 7–10 September 2021

Janusz Wojtusiak, Varalaskshimi Vakkalagadda, Ying Wang, etc., Using WiFi Infrastructure to Predict Contacts During Pandemics, 9Th Ieee International Conference On Healthcare Informatics, Victoria, British Columbia, Canada: August 9th-12th, 2021

Ying Wang, Janusz Wojtusiak, Active Learning Based User-Defined Chest X-Ray Diagnosis System Leveraging 5G Infrastructure for COVID-19 Variant Detection, Poster, AMIA 2021 Annual Symposium, San Diego, October 30 – Noverber 3, 2021

Courses

SSW565: Software Architecture and Component-Based Design
SSW322:Software Engineering Design VI
SSW800:Special Problems in SSW (MS)