The use of machine learning techniques in programmable networks can create the next generation of smart networks. This article was derived from an invited talk by Sujata Banerjee at the ICSDN conference in August 2019. The talk covered a variety of research challenges involved in applying machine learning techniques in programmable networks.

Multi-access edge computing (MEC) is an extension of cloud computing technology to provide an application deployment platform close to the end users. This platform helps to deploy real-time, compute and resource-intensive applications like video caching, augmented reality, virtual reality, and Internet of Things at the edge. MEC enhances the performance of 4G and 5G networks since it achieves reduced

In pattern recognition, identifying Kannada handwritten numerals are a complex knot. This paper portrays an avenue that pikes us to attain a most potent Kannada Numerals recognition process. In this, handwritten Kannada characters are captivated in document fashion and are subjected to Pre-processing and attribute extraction processes. Pre-processing entails steps like noise removal, binarization,

Software Defined Networking (SDN) and Network Functions Virtualization (NFV) are the two fundamental paradigms that introduce concealed flexibility in communication systems. 5G has adopted SDN/NFV to make Network Functions (NFs) as virtualized software modules which run on top of commodity hardware. 5G aims to expand its reach to various business verticals and serve diverse users using network slicing

In this paper, we present a short survey of programmable networks starting from pre-Software Defined Networking efforts to the more recent programmable data-plane. In particular, we highlight the benefits of data-plane programmability and present some of the challenges and future research directions.

Network requirements are evolving as more and more verticals have started using Internet. This will require operators to build a dynamic and virtualized network consisting of routers, switches and compute servers. This dynamic network can then offer service beyond just bandwidth services called "slices" which can be customized for each industry vertical. This paper discussed the various charecteristics

In this talk, we examine change and the rate of change from antiquity to the present, and we extrapolate to the future. We draw on the measures of social development due to historian Ian Morris. This shows that we are in an age of exponentially-increasing rate of change that will only increase unpredictably in the future. This necessitates a flexible architecture for the Internet to handle the future

The number of actions at a user’s disposal in the digital arena is on the rise; the number of technologies available to track users’ activities in an organisation are on the rise; the volume of information logged using such technologies are on the increase. And yet, the number of security incidents recorded per unit time is also on the rise. While there is greater awareness in the community and a plethora

The present research work attempts to develop a Smart Residential Electricity Distribution System (SREDS) for enabling Smart Residences (SR) to participate in Demand Response (DR) schemes of Power Distribution Company (PDC) with either Flat Rate tariff, Time of Use tariff or Real Time Pricing. SREDS includes a Smart Energy Meter (SEM) enabled with Internet of Things, an Intelligent Residential Load

Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especially the binding sites in deoxyribonucleic acid (DNA) for transcription factors. These binding sites are short DNA segments that are called motifs. The motifs are short, recurring patterns in DNA sequences that are presumed to have a

This report covers the research work being carried out under the Visvesvaraya PhD Scheme for Electronics & IT.

With the availability of hybrid DRAM and NVRAM memory on the memory bus of CPUs, a number of file systems on NVRAM have been designed and implemented. In this paper we present the design and implementation of a file system on NVRAM called DurableFS, which provides atomicity and durability of file operations to applications. It provides ACID properties to transactions involving multiple files. Due to

India has a rich tradition where good governance is highly valued. The theme of good governance is emphasized by a lineage of thought leaders from Kautilya in 230 BCE (प्रजासुखे सुखं राज्ञः प्रजानां च हिते हितम् । नात्मप्रियं हितं राज्ञः प्रजानां तु प्रियं हितम् ॥ अर्थशास्त्रः १.१९.४३ ॥ Chapter 19 titled राजप्रणिधिः duties of the king in Arthashastra of Kautilya. The happiness of the king is in the

Two major research areas including assistive devices and Interconnect modelling for VLSI design are focused by Dr. Madhav Rao in IIIT-Bangalore. 3D interconnect is considered a solution to stack different functionalities on a system on chip (SoC), in a view to achieve faster computations and accommodate higher load on the chip. The 3D interconnects offers the luxury for the designers to not worry on

Developing and optimizing FET platforms for label free bio molecule detection has gained huge interest in recent years. This paper presents a charge control model based sensitivity analysis of an optimized GaN HEMT for pH and biomarker detection. Analytical modeling, simulation and fabrication of the device have been discussed in this paper with focus on its sensing application. The overall aim is

In order to overcome the limitations of MOSFET, researchers have proposed various alternative techniques like material engineering, gate engineering, work function engineering, structural engineering, spacer engineering, gate oxide engineering and so on. Among these researchers have looked out for an alternative device which can replace the MOSFETs in future. Fin Field-effect Transistor (FinFET) is

In this article, I have briefly described one of my research areas namely text summarization. The problem definition, state of the art techniques and some preliminary results are presented. There are different types of summarization systems available like document summarization, microblog summarization, multimodal summarization, figure-assisted summarization. These different areas are described briefly

With the rapid technological advances in acquiring data from diverse platforms in cancer research, numerous large scale omics and imaging data sets have become available, providing high-resolution views and multifaceted descriptions of biological systems. Simultaneous analysis of such multimodal data sets is an important task in integrative systems biology. The main challenge here is how to integrate

My research looks at the work of Analog Signal Processing. This area primarily draws focus on circuits dealing with signal processing. This focus on the role of elements or components that is required in analog signal processing/generation circuits like filter, oscillators, inductor simulation etc.

Our initial research work was focussed on employing metaheuristic optimization techniques to design optimal digital signal processing (DSP) systems such as the full band, conventional infinite impulse response differentiators and integrators meeting the accurate magnitude responses with a smaller average group delay. Since, integer order systems are a tight subset of the fractional order (FO) systems

This manuscript contains a brief overview of the work being carried out by the author under the aegis of Visvesvaraya Young Faculty Research Fellowship awarded to him by the Ministry of Electronics and Information Technology (MeitY), India.

With a growing interest in the Internet of Things (IoT), the businesses are undergoing a revolution in the way they monitor and control. In the recent past, many applications were developed using the IoT system architectures in various business verticals such as industrial, healthcare, farming, transportation, etc. However, with the development of low-complex artificial intelligence frameworks which

Sparse representation is widely used in signal/image reconstruction, denoising, restoration, feature extraction, etc. During data compression most of the low magnitude transform coefficients are thrown away while keeping only the high magnitude coefficients. In some practical applications, data acquisition itself is a major challenge, like, signal acquisition in magnetic resonance imaging (MRI), body

This work encapsulates research being carried out in the Device and Wafer Level Characterization Lab at the Department of Electrical Engineering, IIT Delhi in the field of nano-electronics device characterization and modeling. Performance of different multi-gate device architectures, as well as their reliability and variability in different working conditions is investigated using measurement and simulations

The proliferation and penetration of smart phones and IoT devices is having profound impact on world economy. In order to support billions of wirelessly connected devices, and tackle exponentially increasing traffic demands and ever-increasing Quality of Experience and energy efficiency requirements of diverse services and applications being carried over communication network infrastructure, convergence

A novel electromechanical design to assist pumping of weak heart is proposed. The prototype is designed as a feasible alternative to the existing ventricular assistive device (VAD). The conventional device used primarily in the medical practice, suffers from infection, blood clotting, and internal bleeding problems, that are not easily diagnosable. In this paper, a minimally invasive VAD prototype

To understand brain activity relating neurons to circuits to learning and behavior, we explored a bottom-up computational reconstruction of population signals arising from cerebellum granular layer. As a first implementation, using bio-realistic computational models of cerebellum granule cell, in vivo spike train patterns were computed and then translated into functional Magnetic Resonance Imaging