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South Asian University is an International University sponsored by the eight Member States of the South Asian Association for Regional Cooperation . The eight countries are: Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. South Asian University started admitting students in 2010, at a temporary campus at Akbar Bhawan, India. Its permanent campus will be at Maidan Garhi in South Delhi, India, next to Indira Gandhi National Open University . First academic session of the university started in August 2010 with two post-graduate academic programmes, in economics and computer science. As of 2014 SAU offered Master's and MPhil/PhD programs in applied mathematics, biotechnology, computer science, development economics, international relations, law and sociology. The degrees of the university are recognized by all the member nations of the SAARC according to an inter-governmental agreement signed by the foreign ministers of the 8 countries.South Asian University attracts students predominantly from all the eight SAARC countries, although students from other continents also attend. There is a country quota system for admission of students. Every year SAU conducts admission test at multiple centers in all the 8 countries.The founding President of the university, G. K. Chadha, died on 1 March 2014. Prior to joining South Asian University, first as the CEO while SAU was at a project stage and subsequently as the President, he was the economic adviser to the prime minister of India. He also had a stint as the Vice Chancellor of Jawaharlal Nehru University, New Delhi. On 3 November, 2014, Dr. Kavita Sharma took charge as the President of the university. Wikipedia.

Yadav R.K.,University of California at Riverside | Yadav R.K.,South Asian University | Perales M.,University of California at Riverside | Gruel J.,Lund University | And 3 more authors.
Genes and Development | Year: 2011

WUSCHEL (WUS) is a homeodomain transcription factor produced in cells of the niche/organizing center (OC) of shoot apical meristems. WUS specifies stem cell fate and also restricts its own levels by activating a negative regulator, CLAVATA3 (CLV3), in adjacent cells of the central zone (CZ). Here we show that the WUS protein, after being synthesized in cells of the OC, migrates into the CZ, where it activates CLV3 transcription by binding to its promoter elements. Using a computational model, we show that maintenance of the WUS gradient is essential to regulate stem cell number. Migration of a stem cell-inducing transcription factor into adjacent cells to activate a negative regulator, thereby restricting its own accumulation, is a theme that is unique to plant stem cell niches. © 2011 by Cold Spring Harbor Laboratory Press. Source

Srinivasan A.,South Asian University | Faruquie T.A.,IBM | Joshi S.,IBM
Machine Learning | Year: 2012

Nearly two decades of research in the area of Inductive Logic Programming (ILP) have seen steady progress in clarifying its theoretical foundations and regular demonstrations of its applicability to complex problems in very diverse domains. These results are necessary, but not sufficient, for ILP to be adopted as a tool for data analysis in an era of very large machine-generated scientific and industrial datasets, accompanied by programs that provide ready access to complex relational information in machine-readable forms (ontologies, parsers, and so on). Besides the usual issues about the ease of use, ILP is now confronted with questions of implementation. We are concerned here with two of these, namely: can an ILP system construct models efficiently when (a) Dataset sizes are too large to fit in the memory of a single machine; and (b) Search space sizes becomes prohibitively large to explore using a single machine. In this paper, we examine the applicability to ILP of a popular distributed computing approach that provides a uniform way for performing data and task parallel computations in ILP. The MapReduce programming model allows, in principle, very large numbers of processors to be used without any special understanding of the underlying hardware or software involved. Specifically, we show how the MapReduce approach can be used to perform the coverage-test that is at the heart of many ILP systems, and to perform multiple searches required by a greedy set-covering algorithm used by some popular ILP systems. Our principal findings with synthetic and real-world datasets for both data and task parallelism are these: (a) Ignoring overheads, the time to perform the computations concurrently increases with the size of the dataset for data parallelism and with the size of the search space for task parallelism. For data parallelism this increase is roughly in proportion to increases in dataset size; (b) If a MapReduce implementation is used as part of an ILP system, then benefits for data parallelism can only be expected above some minimal dataset size, and for task parallelism can only be expected above some minimal search-space size; and (c) The MapReduce approach appears better suited to exploit data-parallelism in ILP. © 2011 The Author(s). Source

Yadav R.K.,South Asian University
Plant signaling & behavior | Year: 2012

Stem cell maintenance is essential for growth and development of plants and animals. Similar to animal studies, transcription factors play a critical role in plant stem cell maintenance, however the regulatory logic is not well understood. Shoot apical meristems (SAMs) harbor a pool of pluoripotent stem cells and they provide cells for the development of all above-ground organs. Molecular genetic studies spanning more than a decade have revealed cell-cell communication logic underlying stem cell homeostasis. WUSCHEL (WUS), a homeodomain transcription factor expressed in cells of the organizing center specifies stem cells in overlying cells of the central zone (CZ) and also activates a negative regulator-CLAVATA3 (CLV3). CLV3, a small secreted peptide, binds to CLAVATA1 (CLV1) and also possibly to CLV1-related receptors to activate signaling which restricts WUS transcription. Though the CLV-WUS feedback network explains the cell-cell communication logic of stem cell maintenance, how WUS communicates with adjacent cells had remained elusive. In October 15 2011 issue of Genes and Development, we report that WUS protein synthesized in cells of organizing center migrates into adjacent cells via cell-cell movement and activates CLV3 transcription by directly binding to promoter elements. Source

Singh C.,Punjabi University | Walia E.,South Asian University | Upneja R.,Sri Guru Granth Sahib World University
Information Sciences | Year: 2013

Zernike moments (ZMs) are very effective global image descriptors which are used in many digital image processing applications. The digitization process compromises the accuracy of the moments and therefore, several of its properties are affected. There are two major discretization errors, namely, the geometric error and numerical integration error. In this paper we propose two new algorithms which eliminate these errors. The first algorithm performs the exact computation of geometric moments (GMs) over a unit disk and then uses GMs-to-ZMs relationship to compute the latter. This algorithm is computationally more expensive and it becomes numerically instable for higher order moments, therefore, we develop a second algorithm based on Gaussian quadrature numerical integration. The second algorithm reduces both the errors simultaneously and its accuracy increases as the degree of Gaussian quadrature numerical integration increases. The proposed algorithms are observed to provide very accurate ZMs which result in improved image reconstruction, reduction in reconstruction error and improvement in rotation and scale invariance. Exhaustive experiments are provided to support improved accuracy of ZMs and time complexity analysis is performed for the existing and the proposed methods. © 2013 Elsevier Inc. All rights reserved. Source

Chaudhuri B.N.,South Asian University
Protein Science | Year: 2015

Small angle solution X-ray and neutron scattering recently resurfaced as powerful tools to address an array of biological problems including folding, intrinsic disorder, conformational transitions, macromolecular crowding, and self or hetero-assembling of biomacromolecules. In addition, small angle solution scattering complements crystallography, nuclear magnetic resonance spectroscopy, and other structural methods to aid in the structure determinations of multidomain or multicomponent proteins or nucleoprotein assemblies. Neutron scattering with hydrogen/deuterium contrast variation, or X-ray scattering with sucrose contrast variation to a certain extent, is a convenient tool for characterizing the organizations of two-component systems such as a nucleoprotein or a lipid-protein assembly. Time-resolved small and wide-angle solution scattering to study biological processes in real time, and the use of localized heavy-atom labeling and anomalous solution scattering for applications as FRET-like molecular rulers, are amongst promising newer developments. Despite the challenges in data analysis and interpretation, these X-ray/neutron solution scattering based approaches hold great promise for understanding a wide variety of complex processes prevalent in the biological milieu. © 2014 The Protein Society. Source

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