The 3rd International Conference on Computing and Machine Intelligence (ICMI 2024) technical program will provide an opportunity for M.Sc./Ph.D. students in the fields of Internet of things (IoT), Machine learning (ML), Artificial Intelligence (AI), Computer Vision, Blockchain, Big Data and Cloud Computing to present their thesis/dissertation research (that are completed in the last year or will be completed during near future), including work in progress. Forum provides a unique opportunity for students to present their M.Sc./Ph.D. work to the conference attendees, meet with their peers and experts in the field, and most importantly, receive feedback on their work. To encourage interaction among the M.Sc./Ph.D. students and researchers from academia, industry, and government. All the submitted M.Sc./Ph.D. Forum papers will be reviewed, and the accepted papers will be published in the ICMI 2024 proceedings and in IEEE Xplore. The paper should be prepared according to the guidelines defined by IEEE Conference Proceedings Templates. The paper should be two (2) pages in length.
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Masters/PhD Forum Dates | April 13-14, 2024 |
Dr. Waleed Ead, Egypt-Japan University of Science and Technology, Egypt
The special session on "Recent Advances in Data Privacy and Machine Intelligence" brings together researchers, industry experts, and practitioners to delve into the latest advancements at the intersection of data privacy and machine intelligence.
In today's data-driven world, where machine learning and artificial intelligence are rapidly evolving, ensuring the privacy and security of sensitive data has become a critical concern.
This special session will cover a wide range of topics, including:
Researchers and practitioners are encouraged to submit their original research contributions to this special session. The session aims to foster collaboration, exchange ideas, and facilitate the development of new approaches and solutions that address the challenges and opportunities in the field of data privacy and machine intelligence.
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
Dr. Rasha Gargees, Central Michigan University, USA
We live in a data-rich world where converting raw information into practical insights is crucial. This special session explores this journey and the potential of recent technologies to guide us through uncharted territories. Embrace this challenge to unlock unending potential and better understand the world around us.
The challenges that await us in the near future are diverse and complex, ranging from global health crises to environmental sustainability, economic transformations, smart cities, and technological advancements. The ability to turn data into practical insights has never been more crucial in guiding us through these trying times.
This exclusive session provides a unique opportunity to explore how data when paired with innovative technologies, can light the way forward in the face of these challenges. We will embark on an in-depth exploration into the power of data and technology to help us navigate through the obstacles that lie ahead. Technologies can guide us, illuminating our path through these demanding times.
Join us on a journey through data analytics, AI, machine learning, and advanced data visualization. Learn from experts who have harnessed these technologies to drive real change. During this session, we will scrutinize case studies, share best practices, and discuss the latest advancements. Unlock the power of data and shape a better future with confidence.
This special session will cover a wide range of topics, including:
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
Dr. Linxi Zhang, Central Michigan University, USA
This is a special session exploring the intersection between computing, machine intelligence, and cybersecurity. In our increasingly digital world, the urgency for robust and flexible cybersecurity measures has never been greater. As we delve deeper into this rapidly evolving field, the integration of artificial intelligence is emerging as a key force driving cybersecurity advancements. This session will discuss the complexities of AI-driven strategies and illustrate how the application of computing, machine learning and intelligent algorithms can significantly enhance cybersecurity.
We are committed to developing computing and machine intelligence approaches that are not only technologically advanced but also resilient and able to withstand cybersecurity challenges. Researchers, professionals, and enthusiasts who are passionate about modern computing, machine intelligence, and cybersecurity are invited to attend this session to create a platform for discussion, collaboration, and future development.
This special session will cover a wide range of topics, including:
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
Dr. Kasem Khalil, University of Mississippi, USA
In recent years, the intersection of hardware design and neural networks has witnessed a dynamic evolution, shaping the landscape of artificial intelligence and computing paradigms. This special session aims to provide a platform for researchers, engineers, and practitioners to delve into the forefront of innovations and challenges in this rapidly evolving field.
We invite researchers and practitioners to submit their contributions to the special session. This session aims to showcase cutting-edge research and advancements in the hardware design of neural networks, fostering collaboration and knowledge exchange among experts in the field.
This special session will cover a wide range of topics, including:
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
Dr. Nelly Elsayed, University of Cincinnati, USA
Machine perception has been widely used in diverse research domains. The spatiotemporal data such as videos, audio, speech, biosignals, and time-domain signals have been involved in various daily life scopes. These data sources are more complex than non-temporal applications due to the higher dimensionality and the complex relationships between the spatial and temporal components models that are capable of capturing the features and temporal dependencies over time. Thus, utilizing and designing machine perception-based models can tackle these challenges and achieve advances in the spatiotemporal data application domain.
Papers and contributions are encouraged for any work relating to machine perception for spatiotemporal applications. The topics of interest may include (but are not limited to):
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
Dr. Hisham Daoud, Augusta University, USA
The advancement in computation power and medical sensor technology in addition to the rapid growth in available healthcare-related data in recent years allows us to use the latest innovations in artificial intelligence (AI) and machine learning (ML) efficiently to quickly analyze these massive datasets, reveal new insights, and then drive actions with real potential to improve patient outcomes. These datasets include physiological signals, medical imaging, electronic medical records, lab results, pathological data, and omics data. ML technologies can help identify complex or hidden patterns in these data to detect diseases earlier and improve treatment plans. Moreover, AI approaches can speed up and prevent failures in the drug discovery pipeline, advance precision medicine, and improve health monitoring for elderly people.
Researchers are invited to submit their contributions to this special session. This session aims to present cutting-edge research and advancements in using AI for biomedical system design, fostering collaboration and knowledge exchange among experts in the field.
Papers and contributions are encouraged for any work relating to machine perception for spatiotemporal applications. The topics of interest may include (but are not limited to):
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
Dr. Zag ElSayed, University of Cincinnati, USA
Systems based on the Internet of Things are growing in popularity in a variety of fields, and they are developing quickly to offer residents and end users value-added services. The Industrial Internet of Things (IIoT) has brought about a significant rise in the complexity of creating and managing such systems in industrial settings. When it comes to the key software processes used in the design, development, and management of Internet of Things systems over the course of their whole lifecycle, there is a gap in the literature. Because of this, software and systems engineers frequently find themselves unprepared and ignorant of this emerging field of system development. Even while software engineering methodologies and technology have advanced tremendously in recent years, they do not appear to have reached the industry when it comes to designing processes for IIoT systems. Greater thoroughness.
Papers and contributions are encouraged for any work relating to machine perception for spatiotemporal applications. The topics of interest may include (but are not limited to):
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Special Sessions Dates | April 13-14, 2024 |
The integration of blockchain technology in the medical field has the potential to revolutionize various aspects of healthcare, ranging from patient data management to supply chain logistics. This conference workshop aims to bring together researchers, practitioners, and industry experts to explore the latest advancements, challenges, and opportunities in utilizing blockchain technology for innovative solutions in the medical domain. We invite researchers to submit their original papers to contribute to this exciting and rapidly evolving field.
We welcome submissions on a wide range of topics related to blockchain applications in the medical field, including but not limited to:
| Event | Date |
|---|---|
| Paper Submission Deadline | January 15, 2024 |
| Notification to Authors | February 15, 2024 |
| Early Registration Deadline | February 29, 2024 |
| Late Registration Deadline | March 15, 2024 |
| Camera Ready Submission | March 30, 2024 |
| Workshop Dates | April 13-14, 2024 |
Join us at ICMI-2024 for a groundbreaking panel discussion titled "Women in Computing and Education". This session brings together five leading women who are pioneers in their respective fields. Our panelists will share their experiences and insights, shedding light on the challenges and triumphs of women in these dynamic sectors. This discussion is not just a platform for exchanging ideas but also a celebration of the remarkable contributions women make to computing and education.
Dr. Nelly Elsayed is an Assistant Professor at the School of Information Technology. She is the Leader and Founder of the Applied Machine Learning and Intelligence Lab. She received a BS. and MS. degree in Computer Science from Alexandria University, and She received her MS. Eng. And Ph.D. degrees from the University of Louisiana at Lafayette. She is an IEEE Computational Intelligence Society active member. She has served as a principal investigator and co-principle investigator in different federal, educational, and industrial level-funded research projects. She received the Faculty Incentive Award for Research and Scholarship from the CECH, UC, recognizing her research contributions, journal and conference peer-reviewed publications, and professional presentations in 2020-2021. She received the Love of Learning Award from the Honor Society Phi Kappa Phi in 2019 and 2021. She received the Golden Apple Award for Excellence in Teaching (Graduate Level), CECH. She received the UCAADA Sarah Grant Barber Outstanding Advising Faculty Award for the academic year 2021-2022 University of Cincinnati. She has been an Ambassador for Goodwill of Lafayette, Louisiana, since 2017.
Dr. Allyson Kennedy is a program director for education and workforce in the National Science Foundation’s Directorate for Computer and Information Science and Engineering (CISE). In CISE, she evaluates and supports initiatives to make computer science education inclusive for all students. She was a 2022 Embassy Science Fellow, where she collaborated with the Thai government and U.S. Embassy to promote science diplomacy and address key issues around STEM education.
While receiving her Ph.D. in Integrative Life Sciences at Virginia Commonwealth University, Allyson fostered a passion for educational equity through teaching, community outreach, and science communication. In addition to her current role as an NSF program officer, her experiences as a high school teacher in the Uthai Thani Province of Thailand and AAAS Science and Technology Policy fellow have honed her skills and knowledge of working across sectors to create inclusive and equitable education pathways.
Dr. Maria Kyrarini is an assistant professor of electrical and computer engineering and David Packard Jr. Faculty Fellow at Santa Clara University (SCU). She also leads the Human-Machine Interaction & Innovation (HMI2) Lab, supported by federal (NSF) and SCU internal grants. Her primary research interests are in the fields of Robot Learning from Human Demonstrations, Human-Robot Interaction, and Assistive Robotics with a special focus on enhancing Human Performance.
Before SCU, she was a postdoctoral research fellow at the University of Texas at Arlington and the assistant director of the Heracleia Human-Centered Computing Lab. In 2019, Dr. Kyrarini received her Ph.D. in engineering from the University of Bremen under the supervision of Professor Axel Gräser. The title of her Ph.D. thesis is: “Robot Learning from human demonstrations for Human-robot Synergy”. Before that, she received a master’s in electrical and computer engineering and a master’s in automation systems, both from the National Technical University of Athens (NTUA) in 2012 and 2014, respectively.
Dr. Soon Ae Chun is a professor and director of the Information Systems and Informatics program at CUNY College of Staten Island (CSI), and a professor of Computer Science Ph.D Program and Data Science MS Program at the CUNY Graduate Center. She is the director of the Information Security Research and Education Lab (iSecure Lab). Her research area includes AI and Machine Learning; Security, Privacy and Trust; Semantic Web; Social Media Data Analytics; and Service Integration, focusing on applied areas in Digital Government and Digital Health. She worked on IT Innovations, Emergency Management and Scientific and Environmental Data Management projects in collaboration with the New Jersey State Government, NJ Meadowlands Environmental Center, NY/NJ Port Authority, Newark City Government, NASA as well as SAP, and Panasonic. She received the CSI President’s Dolphin Award for Outstanding Scholarly Achievement, a Fulbright Scholarship, and a Distinguished Service Award by the Digital Government Society. She served as the President for the Digital Government Society. She is a founding Editors-in-Chief for the ACM Digital Government Research and Practice. She is a senior member of IEEE and ACM Computing Society, and a member of the Digital Government Society and the Beta Gamma Sigma Honor.
Dr. Taghreed Alghamdi is currently an Assistant Professor at Al-Baha University in Saudi Arabia. She holds a Ph.D. in Computer Science from Ontario Tech University and a Master's degree from Southern Methodist University (2015). With a foundational background in Computer Science from Al-Baha University, she specializes in areas such as big data analytics and data mining. Dr. Alghamdi's recent work focuses on the practical applications of technology in improving urban living, particularly in the context of smart city services and the Internet of Things (IoT). She is dedicated to finding efficient ways to manage data in community settings, especially in busy urban regions. In her role as an educator and researcher, Dr. Alghamdi aims to contribute to the intersection of technology and society. Her commitment lies in making a positive impact through her work in the field of Computer Science.