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 Hybrid Recommender Systems 
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

                                                           Slot available

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:

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: