General Co-Chairs
Alhussein Abouzeid, RPI
Alessandro Mei, Sapienza U. of Rome
TPC Co-Chairs
Shiwen Mao, Auburn University
Chris Poellabauer, University of Notre Dame
Track Chairs
Algorithms & Theory
Mingyue Ji, University of Utah
Shaowei Wang, Nanjing University
Protocols and Cross-Layer Technologies
Mohammed Atiquzzaman, University of Oklahoma
Xu Yuan, University of Louisiana at Lafayette
Systems and Applications
Lei Xie, Nanjing University
Yuanqing Zheng, The Hong Kong Polytechnic University
Experimental Evaluation and Testbeds
Dimitrios Koutsonikolas, Northeastern University
Aaron Striegel, University of Notre DameSecurity and Privacy
Habtamu Abie, Norwegian Computing Centre
Ethiopia Ngussie, University of Turku, Finland
Artificial Intelligence/Machine Learning-based Smart Design
Olga Saukh, Technical University of Graz, Austria
Zimu Zhou, Singapore Management University
Emerging Technologies
Yi Shi, Virginia Tech
Jie Xu, University Miami
Workshop Co-Chairs
Aline Carneiro Viana, INRIA
Mingjun Xiao, USTC
Local Arrangements Chair
Sangtae Ha, University of Colorado Boulder
Publicity Co-Chairs
Ali Farooq, University of Turku
Ruidong Li,
National Institute of Information andCommunications and Technology
Sudip Vhaduri, Fordham University
Web Chair
Xiaowen Gong, Auburn University
Registration & Finance Chair
Shuhui Yang, Purdue University Northwest
Demo & Poster Chair
Yun Lin, Harbin Engineering UniversityPublication Chair
Dajin Wang, Montclair State University
Steering Committee
Dharma P. Agrawal, University of Cincinnati
J. J. Garcia-Luna-Aceves, UC Santa Cruz
Kang G. Shin, University of Michigan
Jie Wu, Temple University

The IEEE International Conference on Mobile Ad-Hoc and Smart Systems(MASS) is a premier annual forum for sharing original, novel ideas in mobile
ad-hoc networks and smart systems, defined broadly. As wireless ad-hocnetworks continue to evolve and specialize into a number of application
scenarios and environments, and sensor-based systems and technologies
increasingly permeate our everyday life and become the inner fabric of theInternet of Things and cyber-physical systems, the unfolding of smart
environments such as smart cities, smart farming, smart healthcare, and smart
manufacturing, to name a few, demand integrated solutions that can makeintelligent use of both cloud and edge systems, while applying machine learningand artificial intelligence tools to handle their growing complexity and toleverage the vast amount of available data.

Conference website
https://eng.auburn.edu/conference/ieee-mass2021/

Paper submission link:
https://edas.info/newPaper.php?c=28372

Sponsored by the IEEE Computer Society, the 18th edition of the conference,
IEEE MASS 2021 will be held as a virtual event on Oct. 4-7, 2021. Accepted
papers for IEEE MASS 2021 will be included in IEEE Xplore Digital Library
after they are presented at the virtual conference. Information and instructions
on how to prepare for a virtual presentation will be provided shortly. The
organizing committee and program committee will endeavor to ensure highquality of the conference program and excellent experience of conference
authors and attendees.
Original, unpublished contributions are solicited in all aspects of mobile ad hoc
networks (MANETs) and smart systems, from mobile networking/computing
to cyber-physical systems to Internet of Things, from theory to systems andapplications. Topics of interest include, but are not limited to: Algorithms &Theory, Protocols and Cross-Layer Technologies, Systems andApplications, Experimental Evaluation and Testbeds, Security andPrivacy, Artificial Intelligence/Machine Learning-based Smart Design,and Emerging Technologies.

IMPORTANT DATESCALL FOR PAPERS
Paper Submission Due : May 15 (extended, firm)
Acceptance Notification : July 8
Camera-ready Version : July 31
Conference Dates : October 4-7
CALL FOR WORKSHOP PROPOSALS
Proposal Submission : March 30
Acceptance Notification : April 15
CALL FOR DEMOS & POSTERS
Abstract Submission Due : July 9
Acceptance Notification : July 23
Camera-ready Version : July 31