ACMSE 2020: The Annual ACM Southeast Conference University of South Florida Tampa, FL, United States, April 2-4, 2020 |
Conference website | http://hadiz.myweb.usf.edu/ACMSE/index.html |
Submission link | https://easychair.org/conferences/?conf=acmse2020 |
Abstract registration deadline | November 17, 2019 |
Submission deadline | January 19, 2020 |
ACM SouthEast provides an excellent forum for faculty, students, industry practitioners, and researchers to present their research in a friendly and dynamic atmosphere. Manuscript review will be “double-blind” where manuscripts will be submitted lacking author(s) names and affiliations.
Submission Guidelines
ACM SouthEast provides an excellent forum for faculty, students, industry practitioners, and researchers to present their research in a friendly and dynamic atmosphere. Manuscript review will be “double-blind” where manuscripts will be submitted lacking author(s) names and affiliations. All accepted papers will be published in the ACMSE proceedings. At least one author of every accepted manuscript must register to attend the conference and present his/her article. Failure to do so will result in exclusion from the conference proceedings. Submissions should follow the ACM conference format at http://www.acm.org/publicatsions/proceedings-template.
Regular papers up to 8 single spaced pages in length. Each extra page will be charged for $100 and up to 2 pages is allowed (totally 10 pages). An acceptance rate of approximately 35% is anticipated for the Regular Paper category. Declined manuscripts may be submitted for consideration as short-papers or “works in progress”. Awards for best regular papers in various categories will be presented.
Short-Papers or “works in progress” not to exceed 4 pages. Each extra page will be charged for $100 and up to 2 pages is allowed (totally 6 pages). An acceptance rate is targeted at 45% for this category. Accepted short-papers will be published in the proceedings.
Fast Abstract Symposium up to 2 single spaced pages in length. The Fast Abstract symposium seeks to bring together students, faculty, and researchers working in computer software and applications and related fields. A Fast Abstract is a lightly reviewed, two-page article that may be presenting new ideas or work in progress, or opinions that address any issue relevant to computer software and applications and related fields. We also welcome contributions that may have thought provoking ideas based on theory or application or development experience, and may have initial or proof of concept results. The presenter will have the opportunity to discuss their research idea, methodology, and results with other peer researchers and receive useful guidance and feedback to refine their ideas or towards the completion of the research and potential initiation of research careers. A two-page abstract will be published in the proceedings. Acceptance rate target is 55%.
Faculty and Student Posters authored by faculty or graduate and undergraduate students. Poster proposals must be submitted as an extended abstract not to exceed three pages including the sections of Problem and Motivation, Background and Related Work, Approach and Uniqueness and Results and Contributions. Awards for best student short-papers/posters will be presented. A one-page abstract will be published in the proceedings. Acceptance rate target is 65%.
Tutorials/Workshops covering introductory or advanced topics. Proposals for workshops should include a title, abstract, statement of purpose, objectives, prerequisites, intended audience, duration (1½ or 3 hours), materials needed (including lab space) and resources to be handed out. Proposals are not to exceed 2 pages.
Panels presenting multiple perspectives on a specific topic. Panel submissions must not exceed two pages and should list panelists and their affiliations and include a description of the topic with brief position statements from the panelists. A minimum of 4 participants, including the moderator is suggested.
Graduate Research Symposium The goal of the ACMSE Graduate Research Symposium is to create a forum for graduate students working on all areas in computer science with an opportunity to present and discuss their research with senior researchers of the ACMSE community in a constructive and friendly atmosphere. Experts in ACMSE will provide students with feedback on their research, allowing students to ask questions about how they can overcome obstacles or enhance their current research proposals. Student submissions must outline a research topic with a suitable research plan. Students should have a year or more remaining in their research program in order to incorporate the feedback obtained during the symposium into their dissertations.
List of Topics
The oldest annual conference of the ACM invites papers in all areas of computer science in addition to tracks in special themed areas:
- Big Data, Data Engineering, Data Mining, HPC, and Machine Learning Track Chair: Dr. Mingon Kang, University of Nevada, Las Vegas
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In recent years, we are facing "Artificial Intelligence Boom" in various fields. For instance, clinics boost clinical trials with cutting-edge artificial intelligence, and vehicle companies accelerate the development autonomous cars. Some people begins to categorize vehicle companies as IT. The advances of Artificial Intelligence are mainly made by interdisciplinary revolutions of big data, data mining, machine learning, and high-performance computing. However, efficient processing of large scale data and retrieving meaningful knowledge from the data are still extremely challenging.
The goal of this track is to bring together researchers with expertise of Big Data, Data Mining, HPC, and Machine Learning and to share current cutting-edge methodologies and their applications. Papers are welcome from the following topics (but not limited to):
- Data Management
- Data Intelligence
- Data Security and Privacy
- Foundations, algorithms, and models of data mining, including big data analytics
- Machine learning and statistical methods
- Data mining for modeling, visualization, personalization, recommendation
- High performance computing in Big Data analytics
- High performance/large scale application
- Cloud, distributed, and grid computing
- Hybrid parallel or distributed algorithms
- Applications of data mining and machine learning, and HPC
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- Internet of Things, Cloud Computing, Edge Computing Track Chair: Dr. Wei Zhong, University of South Carolina Upstate, Co-Chir Yu-Wen Chen, New York City College of Technology
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The aim of the track for Internet of Things and cloud computing is to provide a forum for the scientists to share their latest research results and the plan for their future work in the area of the IoT and Cloud Computing. The paper in this track can cover both theoretical study as well as practical applications.
Original manuscripts are solicited in relevant areas including, but not limited to, the following:
Desirable Topics for IoT:
- Smart Cities
- Smart Water
- Security & Emergencies
- Industrial Control Smart Agriculture (Green Houses)
- Digital health/Telehealth/Telemedicine
- Smart Grids
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Desirable Topics for Cloud Computing:
- Cloud as a Service
- Cloud Infrastructure
- Cloud Management
- Cloud Security
- Cloud Applications
- Cloud Computing Technologies
- Game Design, Development and Innovative Computing Track Chair: Dr. Rongkai Guo, Kennesaw State University
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Games and Virtual/Augmented/Mixed Reality worlds is playing a big role in many different areas, such as industrial training/marketing, educational, medical training, rehabilitation, etc. ACMSE 2020 would like to invite researchers and designers from different disciplines to share new case studies, to present new infrastructure design and developments, as well as new frameworks, methodologies and theories relevant to our community.
The topics could include, but not limited to:
- Case studies in Games and VR/AR/MR
- AI for Games
- Game Design
- Virtual/Augmented/Mixed Reality games
- Cybersickness
- Human-computer interaction for Games
- Mobile games
- Education and Serious Games
- Multimedia Gaming
- Real-Time Graphics Rendering
- Cybersecurity and Privacy: Track Chair: Dr. Svetlana Peltsverger, Kennesaw State University
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Rapid advances in information technologies have brought new security problems and created new research areas in cybersecurity. The proliferation of cryptocurrencies has attracted the attention of cybercriminals as a potential target. Hacking these currencies resulted in noticeable thefts in the last few years. Widely usage of cloud services by organizations have also brought security and privacy concerns due to storage of a large amount of data in the cloud. Other than the cloud service providers, many online service providers possess a massive volume of personal data, which always have risks of data breaches. Hence, there is a high demand for solutions to ensure the security of information and communication technologies in this digital era. Cybersecurity track of ACMSE 2020 will provide a
high-profile forum for researchers, engineers, and practitioners to present and discuss the latest advances and innovations in cybersecurity. We invite submissions of high-quality papers in all areas of cybersecurity.
- Mobile Computing and Communication Track Chair: TBA
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Advances in the technology of wireless communications and miniaturization of computers have led to rapid development in mobile communication infrastructure, and have engendered the paradigm of mobile computing. Different wireless technologies, such as Bluetooth, WiFi, WiMax, and LTE, have been enabling various range wireless connectivity that provides flexibility in accessing information anywhere and anytime. As wireless innovation, such as 5G, goes on, the Mobile Internet of Things (IoT) will further transform the way we do computing and communications. The applications of Mobile IoT range from civilian life to national security, including health care, traffic control, industrial automation, environmental monitoring, to name a few. We solicit papers addressing vital issues, including novel applications, services, middleware support, security, and protocol design, in mobile computing and communications that facilitate the development of Mobile IoT applications.
- Software Engineering: Track Chair: Dr. Witty Srisa-an, University of Nebraska – Lincoln
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We invite submissions of high quality papers describing original research results in software engineering. We are interested in submissions on all topics related to software engineering including but not limited to:
Software architecture
Software components
Configuration management
Concurrent and distributed software
Dependability and safety
Embedded, mobile, and real-time software
Evolution and maintenance of software
Human computer interaction
Program analysis
Requirement engineering
Security and privacy
Software testing
Web-based software
- Information Technology, Databases, Information Systems Track Chair: Dr. Mingyuan Yan, University of North Georgia
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Geographical Information Systems/ Global Navigation Satellite Systems (GIS/GNSS)
Control Systems
Information and Decision Systems
Intelligent Information and Database Systems
Modeling and Simulation
Enterprise applications
Computer graphics and multimedia
Methodologies for information systems development
Conceptual modelling, ontologies, and databases
Enterprise architecture and enterprise modelling
Quality of information systems
- STEM Education Track Chair: Dr. Edward Gehringer, North Carolina State University
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The Computing Education Track seeks new research and experience papers on the topics of educating learners in both formal and informal settings, from the K-12 environment through senior citizens. We especially welcome papers that address broadening participation and diversity within computing. Papers that address learning within various computing courses, including development of tools to improve learning are welcome.
- AI, Robotics, and Computational Intelligence: Track Chair: Dr. Felix G. Hamza-Lup, Georgia Southern University
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Computational Intelligence can be considered as approaches to achieve the goal of artificial intelligence. The fact that Google’s AlphaGo AI beats the best human Go player is an example of computational intelligence. Computational Intelligence methods includes fuzzy logic, neural networks, evolutionary algorithms, machine learning, and probabilistic methods. The ultimate goals of computational intelligence or artificial intelligence is to solve problems or behave like human beings. Computational intelligence has been applied to industries like banking and finance, automobiles, manufacturing, healthcare, home appliances, retail stores, and smart phones. Topics includes but not limited to soft computing, neural networks, deep learning, evolutionary computation, learning theory, problem solving, probabilistic methods, natural language processing and their applications are welcome to the track of AI and Computational Intelligence.
- Fintech, Blockchain and Smart Contracts Engineering: Track Chair: Dr. Reza M. Parizi, Kennesaw State University
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Rapid advances are being made in blockchain space, as evidenced both in the number of published papers and the number of active researchers. Blockchain is a foundational and platform technology considering its existing offerings and it is expected to be a key enabling technology and a new general-purpose technology to revolutionize the business activities and interactions in the future considering its economic, political, humanitarian, and legal system benefits. Blockchain has diverse applications (powered by Smart Contracts) and has the potential to be leveraged in different aspects internet-enabled applications. For example, blockchain characteristics such as decentralization, verifiability and immutability, can be utilized to ensure authenticity, reliability and integrity of data and business activities underpinning our modern financial systems (a.k.a. FinTech Industry).
The goal of this track is to foster the united investigations on cutting-edge research from both academia and industry to explore the latest and innovative guidelines, concepts, techniques, and industrial-strength and open-source tools for perceiving and managing blockchain and its applications in an engineering-supported manner. The track welcomes contributions in the following themes, but is not limited to:
- Blockchain + Software Engineering
- Blockchain + FinTech
- Blockchain + Cybersecurity
- Blockchain + Artificial Intelligence
- Blockchain + Data Science
- Blockchain + Internet of Things (IoT)
- Blockchain tools, platforms, and methods
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- Data Fusion and Autonomous Vehicles: Track Chairs: Dr. Ravi Sankar, University of South Florida, Dr. Tamer Omar, California State Polytechnic University, Pomona, and co-Chair Alireza Khoshnevis, University of South Florida
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In recent years we have witnessed a sudden growth in the overall amount of data in the world. Every day new sensors with higher quality and resolution are collecting vast amounts of data. With the increase in the amount of data, the need for more structured and more reliable models has also increased. Data fusion is the process of gathering and integrating data from multiple sources to create a more unified model based on the input data. The term “data fusion” as a general term has been broadly used in technological fields. One of the main applications of data fusion is in integrating sensor data. The data fusion of sensors is called “sensor fusion.” The purpose of sensor fusion can either be to create a more sophisticated model, reduce the size of data, or to create more accurate readings of the sensors. Fusing the outputs of different sensors can be highly beneficial; however, the approach and the method, highly depend on the situation and the type of the sensors. Sensor fusion has been used in many fields from the wearable biomedical sensors to aircraft sensors and most recently in autonomous vehicles. In recent years there has been an increasing attention on the development of self-driving cars. The development of these autonomous vehicles is based on several fields of technology, such as networking in connected cars, machine learning for decision making, security measures, and sensors. In such an environment where real-time decision making is of utmost importance, sensor fusion can play a crucial role.
The goal of this track is to bring together researchers who are working on challenges of autonomous vehicles and those who are working in data fusion. Studies which include applications of data fusion in autonomous vehicles are the primary targets of this track. However, studies on theories and applications of either field are welcome as well.
Data fusion:
- New techniques, models, algorithms
- Algorithm development
- Applications in machine learning
- Spatio-spectral image fusion
- Soft and hard fusion
- Fusion performance
- Information reconstruction by data fusion
- Biomedical applications of data fusion
- Intelligent transportation
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Autonomous Vehicles:
- Vision, lidar and radar perception
- Detection, Tracking, and Prediction
- Wireless communication technologies and communication protocols for connected vehicles
- Sensor calibration and multimodal sensor fusion
- Security challenges for connected and autonomous vehicles
- Navigation, motion planning and maneuvering
- Signal processing and computer vision algorithms for autonomous driving
- Internet of Vehicles (IoV) and its applications related to V2I, I2V, and V2V
Committees
Program Committee
Junggab Son, Kennesaw State University
Andrew Allen, Georgia Southern University
Jing Selena He, Kennesaw State University
Hossain Shahriar, Kennesaw State University
Yung-Li Hu, National Taiwan University
Yao-Tung Tsou, National Taiwan University
Sarah North, Kennesaw State University
Abdelfattah Amamra, Califorinia State Polytechnic University
Tingting Yu, University of Kentucky
Max North, Kennesaw State University
Supat Rattanasuksun, Bangkok University
Xiaohua Xu, Kennesaw State University
Jay Bhuyan, Tuskegee University
Di Zhuang, University of South Florida
Eric Gamess, Jacksonville State University
D. Michael Franklin, Kennesaw State University
Meng Han, Kennesaw State University
Thammasak Thianniwet, Suranaree University of Technology
Jie Hao, Kennesaw State University
Satidchoke Phosaard, Suranaree University of Technology
Randy Smith, University of Alabama
Sai Kosaraju, University of Nevada, Las Vegas
d. Abdullah Al Mamun, Florida International University
Tasmia Aqila, Florida International University
Raihanul Bari Tanvir, Florida International University
Jie Hao, University of Pennsylvania
Javier Pastorino, University of Colorado, Denver
Flavio Villanustre, LexisNexis
Tejaswini Mallavarapu, Kennesaw State University
Chase Brown, University of Colorado, Denver
Du Li, Senior Software Engineer at Microsoft
Zhiqiang Li, University of Nebraska-Lincoln
Xue Han, University of Kentucky
Yu Zhao, University of Kentucky
Tarannum Shaila Zaman, University of Kentucky
Charles Gardner, Kennesaw State University
Jay Snellen, Jacksonville State University
Gaus Alam, Jacksonville State University
Sri Krishnaprasad, Jacksonville State University
Organizing committee
Conference Chair: Dr. Morris Chang, University of South Florida
Program Committee Chair: Dr. Dan Lo, Kennesaw State University
Treasurer: Dr. Yong Shi, Kennesaw State University
Proceedings Chair: Dr. Eric Gamess, Jacksonville State University
Web Master: Mr. Hadi Zanddizari, University of South Florida
Local Arrangements Chair: Mr. Dumindu Samaraweera, University of South Florida
Sponsors and Exhibitors: Dr. Zak Abichar, University of Central Florida
Poster Chair: Dr. Eric Gamess, Jacksonville State University
Fast Abstract and Panel Chair: Dr. Jigang Liu, Metropolitan State University
Graduate Research Symposium: Dr. Ying Li, Colby College
Tutorials/Workshops Chair: Dr. Suman Kumar, Troy University
Panels Chair: Dr. Yanjun Zhao, Troy University
ACMSE Steering Committee
Ken Hoganson, Kennesaw State University
Dan Lo, Kennesaw State University
Mario Guimaraes, St Martins University
Ashraf Saad, Georgia Southern State University
Randy Smith, University of Alabama
Ka-wing Wong, Eastern Kentucky University
Publication
Conference proceedings will include regular papers, short-papers, fast abstracts and abstracts of faculty and student posters, workshops/tutorials and panels, and will be distributed to conference attendees on USB drives. The conference proceedings will be published in the ACM Digital library. At least one author of every accepted manuscript must register to attend the conference and present his/her article in order to be included in the proceedings.
Venue
The conference will be held in Marshall Student Center, University of South Florida
Contact
All questions about submissions should be emailed to morrisjchang@gmail.com.
Sponsors
ACM, University of South Florida