National Conference on Breakthrough technologies and innovation in Science and Engineering - 5th and 6th of December 2024

organized by the Department of Physics-Shift II
Brochure

Material Science

  • Quantum materials and superconductivity
  • Nanostructured materials and graphene applications
  • Additive manufacturing (3D printing) in advanced materials
  • Biomaterials for healthcare innovations
  • Topological insulators for quantum computing

Quantum Physics

  • Quantum entanglement and information theory
  • Topological quantum computing
  • Quantum cryptography and secure communication
  • Quantum simulations for condensed matter
  • Applications of quantum computing in materials science

Earth and Planetary Sciences

  • Climate modeling and ancient climate analysis
  • Earthquake prediction through machine learning
  • Geomagnetic storms and space weather impacts
  • Permafrost thaw and its environmental consequences
  • Carbon cycle and greenhouse gas monitoring from space
  • Cosmic microwave background radiation studies in cosmology.
  • Dark matter and dark energy in the evolution of the universe.
  • Gravitational wave astronomy and its implications.
  • Planetary formation and the search for exoplanets.

Environmental Sciences

  • Carbon offset effectiveness and nature-based solutions
  • Extreme weather events and machine learning forecasting
  • Soil moisture and water management techniques
  • Microplastics and oceanic pollution control
  • Biodiversity loss and ecosystem resilience

Data Analytics:

  • Machine learning in climate and weather forecasting
  • Big data in environmental monitoring
  • Predictive modeling for geological processes
  • AI-driven geospatial analysis
  • Data-driven approaches in quantum material discovery

Nanoscience

  • Nanotechnology in drug delivery and medical diagnostics
  • Nanoscale materials for energy storage and conversion
  • Quantum dots and their applications in electronics and photonics
  • Nanomaterials for environmental remediation
  • Nanobiotechnology and biosensors for disease detection