New Delhi, India
New Delhi, India

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.


Time filter

Source Type

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.


Gaur R.,South Asian University | Strebel K.,National Institute of Allergy and Infectious Diseases
PLoS ONE | Year: 2012

Human immunodeficiency virus type 1 (HIV-1) Vif is essential for viral evasion of the host antiviral protein APOBEC3G (APO3G). The Vif protein from a distantly related African green monkey (Agm) simian immunodeficiency virus (SIVagm) is unable to suppress the antiviral activity of human APO3G but is active against Agm APO3G. SIVmac Vif on the other hand, possesses antiviral activity against both human and Agm APO3G. In this study, we were interested in mapping domains in SIVmac Vif that are responsible for its dual activity against human and Agm APO3G. We constructed a series of Vif chimeras by swapping domains in SIVmac Vif with equivalent regions from SIVagm Vif and determined their activity against human and Agm APO3G. We found that replacing any region in SIVmac Vif by corresponding fragments from SIVagm Vif only moderately reduced the activity of the chimeras against Agm APO3G but in all cases resulted in a severe loss of activity against human APO3G. These results suggest that the domains in SIVmac Vif required for targeting human and Agm APO3G are distinct and cannot be defined as linear amino acid motifs but rather appear to depend on the overall structure of full-length SIVmac Vif.


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.


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).


Bansal J.C.,South Asian University
Advances in Intelligent Systems and Computing | Year: 2016

Biogeography-based optimization is a recent addition in the class of population based gradient free search algorithms.Due to its simplicity in implementation and presence of very few tuning parameters, it has become very popular in very short span of time. From its inception in 2008, it has seen many changes in different steps of the algorithms. This paper incorporates the modified blended migration and polynomial mutation in the basic version of BBO. The proposed BBO is named as BBO with modified blended crossover and polynomial mutation (BBO-MBLX-PM). The performance of proposed BBO is explored over 20 test problems and compared with basicBBOas well as blended BBO. Results showthat BBO-MBLX-PM outperforms over BBO and other considered variants of BBO. © Springer-Verlag Berlin Heidelberg 2016.


Mrinal N.,DNA Diagnostics Center | Mrinal N.,South Asian University | Tomar A.,DNA Diagnostics Center | Nagaraju J.,DNA Diagnostics Center
Nucleic Acids Research | Year: 2011

Many proteins of the Rel family can act as both transcriptional activators and repressors. However, mechanism that discerns the 'activator/repressor' functions of Rel-proteins such as Dorsal (Drosophila homologue of mammalian NFκB) is not understood. Using genomic, biophysical and biochemical approaches, we demonstrate that the underlying principle of this functional specificity lies in the 'sequence-encoded structure' of the κB-DNA. We show that Dorsal-binding motifs exist in distinct activator and repressor conformations. Molecular dynamics of DNA-Dorsal complexes revealed that repressor κB-motifs typically have A-tract and flexible conformation that facilitates interaction with co-repressors. Deformable structure of repressor motifs, is due to changes in the hydrogen bonding in A:T pair in the 'A-tract' core. The sixth nucleotide in the nonameric κB-motif, 'A' (A6) in the repressor motifs and 'T' (T6) in the activator motifs, is critical to confer this functional specificity as A6→T6 mutation transformed flexible repressor conformation into a rigid activator conformation. These results highlight that 'sequence encoded κB DNA-geometry' regulates gene expression by exerting allosteric effect on binding of Rel proteins which in turn regulates interaction with co-regulators. Further, we identified and characterized putative repressor motifs in Dl-target genes, which can potentially aid in functional annotation of Dorsal gene regulatory network. © The Author(s) 2011. Published by Oxford University Press.


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.


Datta S.,South Asian University
Nonlinear Analysis: Real World Applications | Year: 2016

Using the Andronov-Hopf bifurcation theorem and the Poincaré-Bendixson Theorem, we explore robust cyclical possibilities in Kolmogorov-Lotka-Volterra class of models with positive intraspecific cooperation (in the form of social networks) in the prey population. We find that this additional feedback effect of intraspecific cooperation introduces nonlinearities which modify the cyclical outcomes of the model. We show that the cyclical outcomes are more robust than in the existing literature in this area due to introduction of such non-linearities. We also demonstrate the possibilities of multiple limit cycles under certain situations. © 2016 Elsevier Ltd. All rights reserved.


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.


Chhatwal M.,University of Delhi | Kumar A.,University of Delhi | Singh V.,University of Delhi | Gupta R.D.,South Asian University | Awasthi S.K.,University of Delhi
Coordination Chemistry Reviews | Year: 2015

Multi-stimuli responsive "smart molecules" exhibit measurable responses in the presence of external stimuli. The output signal can be measured by exploiting one or more than one physical characteristics of the molecule-stimulus couple. Distinct responses by smart molecules after interaction with different metal ions at low concentration allow selective multiple-metal sensing. The focus of this review will be on the basic design principles of multi-metal responsive molecular systems, the broad array of their potential applications and further challenges to be accomplished in this rapidly developing area. In particular, addressing of multi-metal ions at single platform has been described with two aspects: (i) access of differential responses through a single channel or (ii) access of wide-ranging sensor-stimulus interactions through multiple channels. These state-of-the-art methodologies demonstrate the large scope and diversity in terms of metal ion screening, combinatorial approach to address the sensor characteristics, activation mechanism and utilization of multiple techniques for sensing prospects. © 2015 Elsevier B.V.

Loading South Asian University collaborators
Loading South Asian University collaborators