Search Collections

Today, High Energy Physics (HEP) research is at a crossroads. While the Large Hadron Collider (LHC) keeps accumulating data to establish the Standard Model on a solid footing, compelling theoretical underpinnings point to the existence of new physics at higher energy scales. In the future, the High Luminosity LHC will precisely measure the properties of the Higgs boson, using a few thousand petabytes of data. Many other precision experiments in HEP are under construction or going to start soon. Hence, the future course of the field will be largely data-driven.Machine Learning techniques will be heavily employed in analyzing this humongous data for possible hints of new physics. Already, remarkable progress has been achieved in developing different classification, identification, characterization, and estimation strategies for use in the searches performed at LHC.The primary purpose of this meeting is human resources development and capacity building in frameworks related to deep machin...

Today, High Energy Physics (HEP) research is at a crossroads. While the Large Hadron Collider (LHC) keeps accumulating data to establish the Standard Model on a solid footing, compelling theoretical underpinnings point to the existence of new physics at higher energy scales. In the future, the High Luminosity LHC will precisely measure the properties of the Higgs boson, using a few thousand petabytes of data. Many other precision experiments in HEP are under construction or going to start soon. Hence, the future course of the field will be largely data-driven.Machine Learning techniques will be heavily employed in analyzing this humongous data for possible hints of new physics. Already, remarkable progress has been achieved in developing different classification, identification, characterization, and estimation strategies for use in the searches performed at LHC.The primary purpose of this meeting is human resources development and capacity building in frameworks related to deep machin...

From the food we eat to the shampoo and lotion we use for personal care or a collection of bacteria swimming in constrained environments, soft materials and complex fluids are ubiquitous in our daily life. Despite occupying a myriad of unrelated systems and settings, they share several overlapping properties and behavior. This diversity renders Soft Matter Physics fantastically interdisciplinary, for it borrows tools from various branches of physics, e.g. Dynamical Systems, Fluid Dynamics, Condensed Matter & Statistical Physics etc. and applies them to systems and problems far afield, including but not limited to, Biology, Earth & Atmospheric Science, Engineering, and Food & Cosmetics industry among many others.The SLM2023 School and Workshop on Soft and Living Matter will attract global experts who will provide pedagogical lectures on a subset of this broad field to students and young researchers. The topics promise to be representative of the breadth of this field, such as Geometry &...

From the food we eat to the shampoo and lotion we use for personal care or a collection of bacteria swimming in constrained environments, soft materials and complex fluids are ubiquitous in our daily life. Despite occupying a myriad of unrelated systems and settings, they share several overlapping properties and behavior. This diversity renders Soft Matter Physics fantastically interdisciplinary, for it borrows tools from various branches of physics, e.g. Dynamical Systems, Fluid Dynamics, Condensed Matter & Statistical Physics etc. and applies them to systems and problems far afield, including but not limited to, Biology, Earth & Atmospheric Science, Engineering, and Food & Cosmetics industry among many others.The SLM2023 School and Workshop on Soft and Living Matter will attract global experts who will provide pedagogical lectures on a subset of this broad field to students and young researchers. The topics promise to be representative of the breadth of this field, such as Geometry &...

SysAdmin Connect 1.0 is an exclusive event dedicated to system administrators, organized on the occasion of System Administrators Day. This event aims to bring together SysAdmin professionals from various institutes to connect, learn, and share their experiences.Event Highlights:Discover the power of connections within the sys-admin community.Engage with experts, share experiences, and learn best practices.Expand your professional network and gain insights from fellow sys-admin professionals.Exchange ideas, challenges, and solutions with like-minded professionals.Foster meaningful connections that will strengthen your skills.Be part of our new system administrators community that supports and empowers sys-admin professionals.Who Should Attend:System AdministratorsNetwork AdministratorsHPC AdministratorsWeb AdministratorsRegistration:Secure your spot for SysAdmin Connect 1.0 by registering online. Don't miss this opportunity to be part of a thriving community of SysAdmin professionals. ...

SysAdmin Connect 1.0 is an exclusive event dedicated to system administrators, organized on the occasion of System Administrators Day. This event aims to bring together SysAdmin professionals from various institutes to connect, learn, and share their experiences.Event Highlights:Discover the power of connections within the sys-admin community.Engage with experts, share experiences, and learn best practices.Expand your professional network and gain insights from fellow sys-admin professionals.Exchange ideas, challenges, and solutions with like-minded professionals.Foster meaningful connections that will strengthen your skills.Be part of our new system administrators community that supports and empowers sys-admin professionals.Who Should Attend:System AdministratorsNetwork AdministratorsHPC AdministratorsWeb AdministratorsRegistration:Secure your spot for SysAdmin Connect 1.0 by registering online. Don't miss this opportunity to be part of a thriving community of SysAdmin professionals. ...

The program will bring together machine learning experts, statisticians, clinicians, and public health experts to discuss how to harness modern mathematical and computational techniques to better understand health-related data across multiple domains. Basics of various machine learning techniques, including logistic regression, tree-based methods, support vector machines, Bayesian methods, and deep networks will be covered with examples of their applicability in biomedicine and health. Applications will include predicting outcomes for individual patients from clinical and lifestyle parameters, analysing patient data such as X-rays, ultrasound images and ECG measurements, genomic variant analysis, and inferring patterns in heterogeneous large-scale data.  Speakers from both computational/statistical and clinical backgrounds will be invited.While the overarching goal is to bridge the gap between mathematical modelling and clinical problems in general, the program has these specific aims:...

Numerical Relativity strives to solve the field equations of General Relativity in conjunction with equations of magnetohydrodynamics using supercomputers. These numerical simulations are essential tools for accurately modeling mergers of black holes or neutron stars, collapse of massive stars (possibly resulting in supernovae), and accreting black holes (in X-ray binaries or in galactic cores). Recent observations of nearly a hundred gravitational-wave (GW) signals from coalescing binaries of black holes, and multi-messenger observations  of coalescing neutron stars have firmly established the role of Numerical Relativity in astrophysics. Such high-energy astrophysical phenomena are prime targets for the upcoming GW-, electromagnetic- and neutrino observatories. This two-week summer school, jointly organized by ICTS and Raman Research Institute, is part of our annual summer school series on GW astronomy. The lectures will be organized into four graduate-level mini courses:Courses: Num...

The program will bring together machine learning experts, statisticians, clinicians, and public health experts to discuss how to harness modern mathematical and computational techniques to better understand health-related data across multiple domains. Basics of various machine learning techniques, including logistic regression, tree-based methods, support vector machines, Bayesian methods, and deep networks will be covered with examples of their applicability in biomedicine and health. Applications will include predicting outcomes for individual patients from clinical and lifestyle parameters, analysing patient data such as X-rays, ultrasound images and ECG measurements, genomic variant analysis, and inferring patterns in heterogeneous large-scale data.  Speakers from both computational/statistical and clinical backgrounds will be invited.While the overarching goal is to bridge the gap between mathematical modelling and clinical problems in general, the program has these specific aims:...

Numerical Relativity strives to solve the field equations of General Relativity in conjunction with equations of magnetohydrodynamics using supercomputers. These numerical simulations are essential tools for accurately modeling mergers of black holes or neutron stars, collapse of massive stars (possibly resulting in supernovae), and accreting black holes (in X-ray binaries or in galactic cores). Recent observations of nearly a hundred gravitational-wave (GW) signals from coalescing binaries of black holes, and multi-messenger observations  of coalescing neutron stars have firmly established the role of Numerical Relativity in astrophysics. Such high-energy astrophysical phenomena are prime targets for the upcoming GW-, electromagnetic- and neutrino observatories. This two-week summer school, jointly organized by ICTS and Raman Research Institute, is part of our annual summer school series on GW astronomy. The lectures will be organized into four graduate-level mini courses:Courses: Num...

Quantum physics has come a long way since its inception 120 years ago to the application of quantum effects in day-to-day life in the form of quantum technologies that are emerging rapidly across multiple fields. What began as a powerful theory on nature that describes the properties of particles, atoms led to a deep understanding of matter, energy, and their behavior at various scales. Over the past decade, there has been a paradigm shift with the development of the ability to control individual quantum systems. Applicable quantum technologies ranging from quantum computers, sensors, and encryption tools incorporating individual quantum systems have come to the force. Quantum resources like entanglement, superposition, and coherence can be used to attain unprecedented accuracies that are not achievable using classical methods and comparable resources. Pushing the boundaries of measurement precision is not only interesting in its own right but also fundamental to discovering new scienc...

Quantum physics has come a long way since its inception 120 years ago to the application of quantum effects in day-to-day life in the form of quantum technologies that are emerging rapidly across multiple fields. What began as a powerful theory on nature that describes the properties of particles, atoms led to a deep understanding of matter, energy, and their behavior at various scales. Over the past decade, there has been a paradigm shift with the development of the ability to control individual quantum systems. Applicable quantum technologies ranging from quantum computers, sensors, and encryption tools incorporating individual quantum systems have come to the force. Quantum resources like entanglement, superposition, and coherence can be used to attain unprecedented accuracies that are not achievable using classical methods and comparable resources. Pushing the boundaries of measurement precision is not only interesting in its own right but also fundamental to discovering new scienc...