Call For Papers

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

  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
• 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

  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  

  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

  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 2019 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
  • Real-Time Graphics Rendering
• Cybersecurity and Privacy: Track Chair: Dr. Svetlana Peltsverger, Kennesaw State University
  Rapid advances in information technologies have brought new security problems and created new research areas in cybersecurity. The proliferation of cryptocurrencies have attracted attention of cybercriminals as a potential target. Hacking these currencies resulted in noticeable thefts in last few years. Widely usage of cloud services by organizations have also brought security and privacy concerns due to storage of large amount of data in the cloud. Other than the cloud service providers, many online service providers possess huge volume of personal data, which always have risks of data breaches. Hence, there is a great 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 latest advances and innovations in cybersecurity. We invite submissions of high-quality papers in all areas of cybersecurity.
• Mobile Computing and Communication Track Chair: Dr. David Kim, Kennesaw State University
  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

  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

  Information technology and information systems are rapidly developing field of computer science. We are pleased to invite submissions of the most recent high quality research paper in all areas of information technology and information systems. Interested topics may include but not limited to:

  • Management Information Systems
  • Distributed Computer System
  • Computer Networks and Communication Technology
  • Information Storage
  • Web Technology
  • 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
  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
  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

  Rapid advances are being made in blockchain technology, 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 and has the potential to be leveraged in different aspects of management and technology. 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 society and economy. All existing technological, management and engineering related systems and frameworks lack of a revised understanding of blockchain-based constellations. Yet, little is known about factors related to management and technical decisions to adopt this technology and how it can "engineeringly" be put into better use to address current and emerging blockchain technology and platform related issues.

  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 in an engineering-supported manner. The track welcomes contributions in the following themes, but is not limited to them:

  • Blockchain + Software Engineering
  • Blockchain + FinTech
  • Blockchain + Cybersecurity
  • Blockchain + Artificial Intelligence
  • Blockchain + Data Science
  • Blockchain + Internet of Things (IoT)
  • Blockchain tools, platforms, and methods
• 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

  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
  • Data fusion: Algorithm development
  • Data fusion: Applications in machine learning
  • Data fusion: Spatio-spectral image fusion
  • Data fusion: Soft and hard fusion
  • Data fusion: Fusion performance
  • Data fusion: Information reconstruction by data fusion
  • Data fusion: Biomedical applications of data fusion
  • Data fusion: Intelligent transportation
  • Autonomous Vehicles: Vision, lidar and radar perception
  • Autonomous Vehicles: Detection, Tracking, and Prediction
  • Autonomous Vehicles: Wireless communication technologies and communication protocols for connected vehicles
  • Autonomous Vehicles: Sensor calibration and multimodal sensor fusion
  • Autonomous Vehicles: Security challenges for connected and autonomous vehicles
  • Autonomous Vehicles: Navigation, motion planning and maneuvering
  • Autonomous Vehicles: Signal processing and computer vision algorithms for autonomous driving
  • Autonomous Vehicles: Internet of Vehicles (IoV) and its applications related to V2I, I2V, and V2V

Authors of best papers in this track will be invited to submit an extended version of their papers to our special issue published by  IEEE Transactions on ENGINEERING MANAGEMENT

Authors of best papers in all tracks will be invited to submit an extended version of their papers to our special issue published in Mathematical Foundations of Computing, by the American Institute of Mathematical Sciences
 

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
 

Regular papers up to 8 single spaced pages in length.  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.  An acceptance rate is targeted at 45%for this category. Accepted short-papers will be published in the proceedings.

Fast Abstract Symposium - 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 (1.5 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.

All submissions must be submitted electronically as either a Microsoft Word document or an Adobe PDF file using EasyChair

Local Tours: The conference venue is conveniently located for many of the Tampa Bay's tourist attractions including Busch Gardens, Lowry Park Zoo, The Florida Aquarium, Tampa Riverwalk. In addition, Florida’s St. Pete Beach (one of the best beaches in US for 2019) is just 40 mins drive from USF and 30 mins drive from Tampa International Airport (TPA). Additional details can be found at CW-Tampa and tripAdvisor

ACMSE 2020 is hosted by the College of Engineering at University of South Florida. The college offers undergraduate and graduate degrees in diverse areas of computing.