day 1 agenda
| Scientific Program | ||
| Global Insight conference on Artificial Intelligence July 11-12, 2024 | Paris, France |
||
| Day-1 (July 11, 2024) | ||
| 09:00-09:30 | Registrations | |
| 09:30-09:45 | Welcome Remarks by Moderator | |
| Keynote Forum | ||
| Georgios Stamatas, Scientific Director- SGS, France | 09:45-10:15 | AI-based approaches for cell segmentation on in vivo reflectance confocal microscopy images |
| Brennan Lodge, New York University, USA | 10:15-10:45 | The Road Ahead: Merging Human Cyber Security Expertise with Generative AI |
| Danda B. Rawat, Howard University, USA | 10:45-11:15 | Artificial Intelligence for Emerging Systems and Applications:The Triumph and Tribulation |
| Group Photo & Refreshment Break (11:15-11:30) | ||
| Technical Session-I | ||
| Session Chairs:TBA | ||
| Tagreed Sadeek Alsulimani, University of Jeddah, Saudi Arabia | 11:30-11:50 | Human Activity Recognition using Artificial Intelligence: A state of the art review, data sets, challenges, and future prospects |
| Nabil Adam, Rutgers University, USA | 11:50-12:10 | The Use of Artificial Intelligence for the Analysis of Survival of Stage IV Breast Cancer Patients |
| Anna Farzindar, Loyola Marymount University, USA | 12:10-12:30 | Intelligence without Consciousness is Artificial Intelligence |
| 12:30-12:50 | Slot available | |
| Caroline Gans-Combe, INSEEC Business School, France | 12:50-13:10 | Building a resources sober artificial intelligence(AI) framework |
| Lunch Break @ Restaurant (13:10-14:10) | ||
| Technical Session-II | ||
| Session Chairs: TBA | ||
| Mojtaba Hasannezhad, Concordia University, Canada | 14:10-14:30 | PACDNN: A Phase-Aware Composite Deep Neural Network for Speech Enhancement |
| Lubna Daraz, University of Montreal, Canada | 14:30-14:50 | Breaking the Binary: Navigating Gender Equality Challenges in the AI Ecosystem |
| Jian Shi, Neurology of UCSF, USA | 14:50-15:10 | Machine learning and bioinformatics approaches for classification and clinical detection and treatment of BVZ-responsive glioblastoma subtypes based on multi-omics. |
| Pratik K. Biswas, Verizon, USA | 15:10-15:30 | A Hybrid Recommender System for Recommending Smartphones to Prospective Customers |
| Jun Nakamura, Chuo University, Japan | 15:30-15:50 | The effects of reflection in gaze on abstract paintings - towards the training of thinking skills in AI era |
| Francesco Ferrari, Università degli Studi di Genova, Italy | 15:50-16:10 | Enhancing ERA5 skills for wind energy applications through Ensemble Machine Learning |
| Refreshment Break (16:10-16:20) | ||
| 16:20-16:40 | Slot available | |
| Luigi Riso, Universita Cattolica del Sacro Cuore, Italy | 16:40-17:00 | Feature Selection based on the Best-Path Algorithm in High Dimensional Graphical Models |
| 17:00-17:20 | Slot available | |
| Anton Aguilar-Rivera, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain | 17:20-17:40 | The Unscented Genetic Algorithm for Fast Solution of GA-Hard Optimization Problems |
| Joolekha Bibi Joolee, Heriot-Watt University, UAE | 17:40-18:00 | Deep multi-model fusion network based real object tactile understanding from haptic data |
| Panel Discussions | ||
day 2 agenda
| Day-2 (July 12, 2024) | ||
| Technical Session-III | ||
| Session Chairs: TBA | ||
| Apostolia-Maria Tsimberidou, The University of Texas, MD Anderson Cancer Center, USA | 09:30-09:50 | Artificial Intelligence and Machine Learning in Precision Oncology: Convergence of Evolving Advanced Diagnostic and Analytical Techniques |
| Martin Koehler, University of Vienna, Austria | 09:50-10:10 | A Technological Perspective of Data Preparation in the Age of AI |
| Adeleh Asemi Zavareh, University of Malaya, Malaysia | 10:10-10:30 | Integrating Artificial Intelligence Techniques for Enhancing Usability Evaluation of Interactive Systems through a Fuzzy Multi-Factor Evaluation (MFE) Model |
| 10:30-10:50 | Slot available | |
| Chien-Hua Wu, Chung-Yuan Christian University, Taiwan | 10:50-11:10 | Randomized perturbation model in statistical disclosure control |
| Refreshment Break (11:10-11:20) | ||
| Joao Sousa, IDMEC, Portugal | 11:20-11:40 | Industrial Artificial Intelligence: Present Research and Future Trends |
| Yingshu CUI, Chinese PLA General Hospital, China | 11:40-12:00 | Comprehensive Analysis of the Immunogenic Cell Death-Related Signature for Predicting Prognosis and Immunotherapy Efficiency in Patients with Lung Adenocarcinoma |
| Dipam Paul, Carnegie Mellon University; Bosch Global, USA | 12:00-12:20 | Enhancing Venture Capital Efficiency through NLP-Powered Startup Evaluation |
| Sonia Farhana Nimmy, University of New South Wales, Australia | 12:20-12:40 | Enhancing Understanding of Resilience Factors in Global Supply Chains through Explainable Artificial Intelligence: A Strategy for Navigating Uncertainty |
| Assefa Tesfay Abraha, HUazhong University of Science and Technology, China | 12:40-13:00 | MRILoc: Multiresolution Indoor Localization from Crowdsourced samples |
| Lunch Break @ Restaurant (13:00-14:00) | ||
| Technical Session-IV | ||
| Zhang Faping, Beijing Institute of Technology, China | 14:00-14:20 | Multi-data Manifold based Manufacturing Process Monitoring and Diagnosing with Multiple Mode Operation |
| 14:20-14:40 | Slot available | |
| Doniyoorjon Mukhtorov, Gachon University, South korea | 14:40-15:00 | Advancing Endoscopic Disease Diagnosis: A Multi-input Deep Learning Framework Integrating Hyperspectral and RGB Imaging |
| Chunjing Liu, Anhui Institute of Information Technology, China | 15:00-15:20 | Systematic Application and Innovation of iFlytek Spark Artificial Intelligence Platform in Higher Engineering Education |
| 15:20-15:40 | Slot available | |
| Yingshu CUI, Chinese PLA General Hospital, China | 15:40-16:00 | Comprehensive Analysis of the Immunogenic Cell Death-Related Signature for Predicting Prognosis and Immunotherapy Efficiency in Patients with Lung Adenocarcinoma |
| Refreshment Break (16:00-16:20) | ||
| Yan Pang, Guangzhou University, China | 16:20-16:40 | Enhancing Medical Image Analysis: Achieving Optimal Balance between Accuracy and Efficiency in Resource-Limited Platforms |
| Antonio Pires De Castro Junior, Court of Justice of, the State of Goiás, Brazil | 16:40-17:00 | Weighting construction by bag-of-words with similarity-learning and supervised training for classification models in court text documents |
| Award Ceremony | ||
| Day 2 Concludes | ||
| NOTE: This is Tentative program and subject to change | ||
| We are still accepting the abstracts. To book your slot, contact Mr. Thomas Austin: thomas_austin@gic-ai.org | ||
posters agenda
Updating Soon....
virtual agenda
| Global Insight conference on Artificial Intelligence July 11-12, 2024, Paris, France |
|
| Virtual Program | |
| GICAI-2024 | Machine learning techniques for the ab initio Bravais lattice determination |
| Inma Conde, University of Sydney , Australia | |
| GICAI-2024 | An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem |
| Haichuan Yang, Tokushima University, Japan | |
| GICAI-2024 | A Deep Learning Model for Predicting COVID-19 ARDS in Critically Ill Patients |
| Yang Zhou, Shanghai Jiaotong University, China | |
| GICAI-2024 | APOSD based WSD, feature selection and knowledge discovery of English Modal Verbs and Prepositions |
| Jianping Yu, Yanshan University, China | |
| GICAI-2024 | Socially Responsible AI for Well-being: Highlights and Perspectives from the AAAI 2023 and 2024 Spring Symposia |
| Takashi Kido, Teikyo University, Japan | |
| GICAI-2024 | Speaker Slot Available |
| GICAI-2024 | Predicting new crescent moon visibility applying machine learning algorithms |
| Murad Al-Rajab, Abu Dhabi University, UAE | |
| GICAI-2024 | Signature-based adaptive cloud resource usage prediction |
| Wiktor Sus, AGH University of Krakow, Poland | |
| GICAI-2024 | Leveraging Artificial Intelligence and Behavioral Biometrics for Early Diagnosis of Neurodegenerative Diseases |
| Vincenzo Dentamaro, University of Bari Aldo Moro, Italy | |
| GICAI-2024 | Beyond Explainable AI: Improvements of Machine Learning to Achieve Fidelity |
| Andrea Murari, Consorzio RFX and Istituto scienza e tecnologia dei plasmi, Italy | |
| GICAI-2024 | Keynote Talk: Machine Learning Application in Energy- and Spectrum-Efficient5G/6G Communication Systems Development and Signal Propagation Modelling) |
| Sunday Cookey Ekpo, Manchester Metropolitan University, UK | |
| GICAI-2024 | Artificial intelligence, fundamental rights and digital constitutionalism – a necessary dialogue |
| Paola Cantarini, USP-RP/USP-IEA/Ethikai, Brazil | |
| GICAI-2024 | Speaker Slot Available |
| GICAI-2024 | Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study |
| Sang Won Bae, Stevens Institute of Technology, USA | |
| GICAI-2024 | Machine Learning-Enhanced Software Development: State of the Art and Future Directions |
| Varun Shah, Amazon, USA | |
| GICAI-2024 | Speaker Slot Available |
| GICAI-2024 | Towards Reliable Laparoscopic and Robot-assisted Surgery Using Deep Learning |
| Koloud Alkhamaiseh, Michigan Technological University, USA | |
| GICAI-2024 | Speaker Slot Available |
| GICAI-2024 | Real-Time Fraud Detection Using Machine Learning |
| Benjamin Bortey Borketey, First Citizens Bank, USA | |
| Note: This program is tentative and may be subject to change | |
| We are still accepting the abstracts. To book your slot, contact Mr. Thomas Austin: thomas_austin@gic-ai.org | |