Special Session

Session 01 :

Name of the Session: Recent Trends in Digital Pedagogy.

Session Chair: 

Dr. Ton Quang Cuong
Dean, VNU University of Education, Vietnam National Univesity, Hanoi, Vietnam.

Mail Id: tonquangcuong@gmail.com

Tentative Topics (But NOT Limited to)

  • The emergence of digital pedagogy in academics.
  • Critical digital pedagogy, and its complexity analysis.
  • MOOCs or SPOCs on learning Apps with BYOD/BYOT.
  • IoT-based teaching-learning methodology.
  • AR/VR/MR/XR/CR and Robot in digital education.
  • Digital pedagogy and networked learning.
  • Innovative new uses for traditional digital pedagogy tools.
  • Digital Education Policy
  • Understanding and applying Blockchain in Education.
  • Integration of technology with digital education.
  • Artificial Intelligence for Education.
  • Case-study based approach in digital teaching-learning methodology.

Session 02 :

Name of the Session: Big data & Artificial Intelligence Applications Management in Clouds.

Session Chair: 

Dr. M. Iyapparaja
Associate Professor Grade II,
School of Information Technology and Engineering, Vellore Institute of Technology,

Mail Id: iyapparaja.icicct@gmail.com

Tentative Topics (But NOT Limited to)

  • Security and privacy in Big data
  • AI & Machine Learning algorithms in profound fields
  • Fog computing and Framework
  • AI in cloud, Big data in cloud
  • Big data search and mining
  • Big data security and privacy
  • Security, privacy and legal issues specific to big data
  • Big data economy, QoS and business models
  • Intelligence and scientific discovery
  • Large-scale recommendation systems and graph analysis
  • Algorithmic and experimental prototyping and implementation
  • Big data and social networking concepts and applications
  • Emerging technologies in big data and social networking
  • Management issues of social network big data
  • Security challenges in big data and social networks
  • Social network and big data analytics

Session 03 :

Name of the Session: Deep Learning and Applications of Computer Vision

Session Chair: 

Dr. Diganta Sengupta
Meghnad Saha Institute of Technology, India

Mail Id: sg.diganta@ieee.org

Tentative Topics (But NOT Limited to)

  • Recent frameworks in Deep Learning
  • Deep Learning for Sentient Analysis
  • Deep Learning for Opinion Mining
  • Deep Learning for Data Science
  • Deep Learning for Feature Extraction
  • Deep Learning for Weather Forecasting
  • Deep Learning for Academic Research
  • Deep Learning for Virtual Assistants and Chatbots
  • Recent frameworks in Computer Vision
  • Applications of Computer Vision in Biodiversity
  • Applications of Computer Vision in Bio-Informatics
  • Remote Sensing Applications of Computer Vision
  • Computer Vision in Augmented Reality
  • Computer Vision in Optical Character Recognition
  • Computer Vision in Gesture Recognition
  • Computer Vision for Content Management
  • Applications of Computer Vision in IoT enabled devices
  • Applications of Computer Vision in Security and Privacy Issues

Session 04 :

Name of the Session: IoT for Modern Engineering, Bioinformatics and Healthcare Applications

Session Chair: 

Dr. Ankan Bhattacharya, Department of Electronics & Communication Engg., Mallabhum Institute of Technology, India

Mail Id: abhattacharya@mitbishnupur.ac.in

Dr. Saurav Mallik, Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, USA

Mail Id: smallik@hsph.harvard.edu

Dr. Samarendra Nath Sur, Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, India

Mail Id: samarendra.s@smit.smu.edu.in

Dr.Ruifeng Hu, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, 60 Fenwood Rd, Boston, USA

Mail Id: rhu11@bwh.harvard.edu

Tentative Topics (But NOT Limited to)

  • IoT for Modern Electronics and Communication Engineering.
  • Artificial Intelligence/Machine Learning for Modern Engineering Applications.
  • IoT and Data Mining in Bioinformatics and Healthcare Engineering.
  • IoT, Machine Learning, Deep Learning and Cloud Computing in drug discovery and Biomedical therapy.
  • Implementation of IoT in Big Data, Cloud Computing, Machine Learning and Artificial Intelligence.
  • IoT and Cloud Computing in biomedical data, including gene expression, DNA methylation, copy number dataset.
  • IoT and data mining for Automotive Cyber-Physical System (A-CPS) and Embedded Systems.
  • High-dimensional big data analysis using IoT, Machine Learning, Deep Learning and Cloud Computing and Multi-Omics Data.
  • Disease Classification, Gene Signature Discovery, Clustering and Multi-Modal Data integration using IoT, Machine Learning and Cloud Computing algorithms for any dreadful disease such as cancer, tumour, Alzheimer and COVID-19
  • Application of IoT in Modern Engineering including Microwave Communication and Remote Sensing.