Welcome to ICoDT2
2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Intelligence Systems. The Conference looks for significant contributions to all major fields of the Intelligence Systems in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Sponsored by National University of Sciences and Technology (NUST), the conference is a premier event that invites contributions in the areas of artificial intelligence and allied areas. Papers on the applications of intelligent systems and Technology trends can also be submitted. The research may present advances in the theory, design, implementation, analysis, empirical evaluation, case studies of intelligent systems. Following are tentative research tracks for the conference.
Medical Image Processing and HealthCare
Neural Networks and applications
Power electronics and control
Audio/Speech and natural language processing
Cyber security and digital forensics
Applications of ML
Computer Vision and applications
Deep learning ad applications
Knowledge Discovery & Predictive Data Analytics
Conference Best Paper Award
Session
Author
Title
Computer Vision
Taimur Hassan
Programmable Broad Learning System to Detect Concealed and Imbalanced Baggage Threats
Best Session Papers
Session
Authors
Title
01. Machine Learning and Applications
Muhammad Waqas Ahmad, Muhammad Usman Akram, Kashif Saghar, Wasi Haider Butt, Rashid Ahmad and Ali Hassan
Machine Learning-based Theoretical Framework for Failure Prediction, Detection, and Correction of Mission Critical Flight Software
02. Computer Vision
Muhammad Shafay, Taimur Hassan, Abdelfatah Ahmed, Divya Velayudhan, Jorge Dias and Naoufel Werghi
Programmable Broad Learning System to Detect Concealed and Imbalanced Baggage Threats
03. Software Modeling and Data Science
Faryal Nosheen, Usman Qamar and Summair Raza
A Novel Approach for Periodically Updating Rough Approximations Upon Multi-Dimension Variation
04. BioMedical & HealthCare
Joddat Fatima, Mashood M. Mohsan, Muhammad Umair Qaisar, Muhammad Hamza, Muhammad Zeshan Tahir and Ghazzal Zaman
Handcrafted and Deep features based Classification of Scoliosis
05. Deep Learning and Applications
Qirat Ashfaq, Muhammad Usman Akram
Convolutional Neural Network Based Thermal Image Classification
06. Transformative Technologies
Uzair Khaleeq Uz Zaman, Mujtaba Rafique Ghoto, Ali Siadat, Aamer Ahmed Baqai, Anas Bin Aqeel and Usman Qamar
Integrated Product-Process Design: Conceptual Framework for Data Driven Manufacturing Resource Selection
07. Machine Learning & Applications
Amna Shahid, Muhammad Usman Akram, Anum Abdul Salam and Jahan Zeb
Image Popularity Prediction Over Time for the Span of 30 Days Using Machine learning Techniques
08. Biomedical and HealthCare
Taimur Hassan, Abdelfatah Ahmed, Bilal Hassan, Muhammad Shafay, Ayman Elbaz, Jorge Dias and Naoufel Werghi
Incremental Instance Segmentation for the Gleason Tissues Driven Prostate Cancer Prognosis
09. Internet of Things
Balawal Shabir, Asad Malik, Anis Rahman, Muazzam Khan and Zahid Anwar
A Reliable Learning Based Task Offloading Framework for Vehicular Edge Computing
10. Machine Learning & Applications
Seemal Asif
Cost Effective Welding System by using AR3 Robot
11. Biomedical and HealthCare
Haider Masood, Eisha Hassan, Anum Abdul Salam and Muwahida Liaquat
OSTEO-DOC: KL-GRADING OF OSTEOARTHRITIS USING DEEP-LEARNING
12. Digital Design
Rimsha Tariq, Sajid Gul Khawaja, Muhammad Usman Akram and Farhan Hussain
Reconfigurable Architecture for Real-time Decoding of Canonical Huffman Codes
Join Us
Important Dates
Paper Submission: 10th March 2022
Notification of acceptance: 30th Mar 2022
Camera ready/Author Registration: 15th Apr 2022
Participant Registration: 30th April 2022
Attendees Registration: 10th May 2022
Conference Location
NUST
