Gaurav Pandey

Thapar University, Patiala, School of Energy and Environment, Alumnus

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A reviewer and member of various international journals/bodies, Mr. Pandey received his post graduate degrees (M.Tech.) in Environmental Science and Technology from Thapar University, Patiala, India. He also got expertise in advances in wastewater treatment and technologies, solar energy technologies, biogas, finite element analysis, landfill management etc. from IIT Delhi. Currently, researching on green nanotechnology and associated with Forest Research Institute (FRI), Dehradun.

Mr. Pandey has over ten years of rich diversified experience in teaching, training, faculty development, consultancy, research and administration. He is freelance consultant and an expert of Environmental and Energy related issues and had published/presented many papers in international journals/conferences.
Phone: +91-9759728628

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Papers by Gaurav Pandey

Disseminated nocardiosis in a young male with nephrotic syndrome

The Journal of Association of Chest Physicians, 2016

Impact of Inflation on Indian housing Finance Industry

Tij S Research Journal of Economics Business Studies Rjebs, Jul 26, 2014

Prediction of Genetic Interactions Using Machine Learning and Network Properties

Frontiers in bioengineering and biotechnology, 2015

A genetic interaction (GI) is a type of interaction where the effect of one gene is modified by t... more A genetic interaction (GI) is a type of interaction where the effect of one gene is modified by the effect of one or several other genes. These interactions are important for delineating functional relationships among genes and their corresponding proteins, as well as elucidating complex biological processes and diseases. An important type of GI - synthetic sickness or synthetic lethality - involves two or more genes, where the loss of either gene alone has little impact on cell viability, but the combined loss of all genes leads to a severe decrease in fitness (sickness) or cell death (lethality). The identification of GIs is an important problem for it can help delineate pathways, protein complexes, and regulatory dependencies. Synthetic lethal interactions have important clinical and biological significance, such as providing therapeutically exploitable weaknesses in tumors. While near systematic high-content screening for GIs is possible in single cell organisms such as yeast, t...

Performance Analysis of Long-Reach Coherent Detection OFDM-PON Downstream Transmission Using m-QAM-Mapped OFDM Signal

Journal of Optical Communications, 2016

Design of Optical Waveguides carrying LP<sub>01</sub> Mode for WDM Systems

IEEE Journal of Selected Topics in Quantum Electronics, 2016

100 Gbps long reach coherent PON downstream transmission using dual polarization-QPSK with digital signal processing

Optical and Quantum Electronics, 2015

Reduced Insulin Receptor Expression Enhances Proximal Tubule Gluconeogenesis

Journal of Cellular Biochemistry, 2016

Reduced insulin receptor protein levels have been reported in the kidney cortex from diabetic hum... more Reduced insulin receptor protein levels have been reported in the kidney cortex from diabetic humans and animals. We recently reported that, targeted deletion of insulin receptor (IR) from proximal tubules (PT) resulted in hyperglycemia in non-obese mice. To elucidate the mechanism, we examined human proximal tubule cells (hPTC) and C57BL/6 mice fed with high-fat diet (HFD, 60% fat for 20 weeks). Immunoblotting revealed a significantly lower protein level of IR in HFD compare to normal chow diet (NCD). Furthermore, a blunted rise in p-AKT(308) levels in the kidney cortex of HFD mice was observed in response to acute insulin (0.75 IU/kg body weight, i.p) relative to NCD n = 8/group, P &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; 0.05). Moreover, we found significantly higher transcript levels of phosphoenolpyruvate carboxykinase (PEPCK, a key gluconeogenic enzyme) in the kidney cortex from HFD, relative to mice on NCD. The higher level of PEPCK in HFD was confirmed by immunoblotting. However, no significant differences were observed in cortical glucose-6-phosphatase (G6Pase) or fructose-1,6, bisphosphosphatase (FBPase) enzyme transcript levels. Furthermore, we demonstrated insulin inhibited glucose production in hPTC treated with cyclic AMP and dexamethasone (cAMP/DEXA) to stimulate gluconeogenesis. Transcript levels of the gluconeogenic enzyme PEPCK were significantly increased in cAMP/DEXA-stimulated hPTC cells (n = 3, P &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; 0.05), and insulin attenuated this upregulation Furthermore, the effect of insulin on cAMP/DEXA-induced gluconeogenesis and PEPCK induction was significantly attenuated in IR (siRNA) silenced hPTC (n = 3, P &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; 0.05). Overall the above data indicate a direct role for IR expression as a determinant of PT-gluconeogenesis. Thus reduced insulin signaling of the proximal tubule may contribute to hyperglycemia in the metabolic syndrome via elevated gluconeogenesis. J. Cell. Biochem. 9999: 1-10, 2016. © 2016 Wiley Periodicals, Inc.

Slot Loaded Tri BandMicrostrip Antenna for Wireless Applications

ABSTRACT A tri-band slot loaded microstrip antenna is proposed. The tri-band characteristics of a... more ABSTRACT A tri-band slot loaded microstrip antenna is proposed. The tri-band characteristics of antenna are achieved by incorporating a combination of symmetrical Y-shaped and asymmetrical U-shaped slot. The Y-shaped slot is placed symmetrically where as U-shaped slot is placed asymmetrically to the center of the patch to achieve the desired tri-band characteristics. Proposed antenna is able to achieve lower frequency ratio of 1.55 (second resonant frequency /first resonant frequency) and 1.37 (third resonant frequency/second resonant frequency), respectively. The return loss characteristics shows that the percentage impedance bandwidth achieved for global positioning system (GPS), wireless fidelity (Wi-Fi), and wireless metropolitan area networks (WiMAX) bands are 1.78%, 5.29%, and 10.37%, respectively. The parametric study of the antenna is presented. The HFSS simulated results are compared with measured and CST Microwave Studio. Good agreement is obtained between simulated and measured results.

Abundance of female-biased and paucity of male-biased somatically expressed genes on the mouse X-chromosome

Bmc Genomics, Nov 10, 2012

Background: Empirical evaluations of sexually dimorphic expression of genes on the mammalian X-ch... more Background: Empirical evaluations of sexually dimorphic expression of genes on the mammalian X-chromosome are needed to understand the evolutionary forces and the gene-regulatory mechanisms controlling this chromosome. We performed a large-scale sex-bias expression analysis of genes on the X-chromosome in six different somatic tissues from mouse.

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Learning by Stretching Deep Networks

Determination of document similarity

A seed document may be determined, and at least one document may be selected from a plurality of ... more A seed document may be determined, and at least one document may be selected from a plurality of documents. A similarity analysis may be performed between the seed document and the at least one document, the similarity analysis including a difference-based analysis. A similarity measure between the at least one document and the seed document may be determined, based on the similarity analysis.

Extrinsic calibration of a 3D laser scanner and anomnidirectional camera

Slot Loaded Microstrip Antenna for GPS, Wi-Fi, and WiMAX Applications Survey

A tri-band slot loaded microstrip antenna is proposed. The tri-band characteristics of antenna ar... more A tri-band slot loaded microstrip antenna is proposed. The tri-band characteristics of antenna are achieved by incorporating a combination of symmetrical Y-shaped and asymmetrical U-shaped slot. The Y-shaped slot is placed symmetrically where as U-shaped slot is placed asymmetrically to the center of the patch to achieve the desired tri-band characteristics. The return loss characteristics show that the percentage impedance bandwidth achieved for global positioning system (GPS), Wireless Fidelity (Wi-Fi), and wireless metropolitan area networks (WiMAX) band are 1.78%, 5.28%, and 10.41%, respectively. The parametric study of the antenna is presented. The simulation results of proposed antenna are compared with measured results and found in good agreement.

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To go deep or wide in learning?

To achieve acceptable performance for AI tasks, one can either use sophisticated feature extracti... more To achieve acceptable performance for AI tasks, one can either use sophisticated feature extraction methods as the first layer in a two-layered supervised learning model, or learn the features directly using a deep (multi-layered) model. While the first approach is very problem-specific, the second approach has computational overheads in learning multiple layers and fine-tuning of the model. In this paper, we propose an approach called wide learning based on arc-cosine kernels, that learns a single layer of infinite width. We propose exact and inexact learning strategies for wide learning and show that wide learning with single layer outperforms single layer as well as deep architectures of finite width for some benchmark datasets.

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Abundance analysis of LSS 3378 (Pandey+, 2006)

The spectrum of LSS 3378 was obtained on 2002 June 19 with the 4-m Blanco telescope and the Casse... more The spectrum of LSS 3378 was obtained on 2002 June 19 with the 4-m Blanco telescope and the Cassegrain echelle spectrograph at Cerro Tololo Inter-American Observatory (CTIO) in Chile. Three exposures of 25-min each, spectra covering the wavelength interval 50008200{AA} without gaps, were recorded at a resolving power of R=30000. The Image Reduction and Analysis Facility (IRAF) software packages were used to reduce the recorded spectra. (1 data file).

Structure extraction from unstructured documents

A document similarity detector may be used to determine a family of documents based on a similari... more A document similarity detector may be used to determine a family of documents based on a similarity analysis between content of a seed document and content of the family of documents, the content of the seed document associated with at least one database object having at least one field. A content extraction system may be used to determine a ranking of a plurality of terms from within at least one document of the family of documents, based on a relative frequency with which each of the plurality of terms appears within the family of ...

Maximum Entropy with Maximum J-Divergence Discrimination for TextClassification

Maximum entropy approach to classification is very well studied in applied statistics and machine... more Maximum entropy approach to classification is very well studied in applied statistics and machine learning and almost all the methods that exists in literature are discriminative in nature. In this paper, we introduce a maximum entropy classification method with feature selection for large dimensional data such as text datasets that is generative in nature. To tackle the curse of dimensionality of large data sets, we employ conditional independence assumption (Naive Bayes) and we perform feature selection simultaneously, by enforcing a 'maximum discrimination' between estimated class conditional densities. For two class problems, in the proposed method, we use Jeffreys (J) divergence to discriminate the class conditional densities. To extend our method to the multi-class case, we propose a completely new approach by considering a multi-distribution divergence: we replace Jeffreys divergence by Jensen-Shannon (JS) divergence to discriminate conditional densities of multiple classes. In order to reduce computational complexity, we employ a modified Jensen-Shannon divergence (JSGM ), based on AM-GM inequality. We show that the resulting divergence is a natural generalization of Jeffreys divergence to a multiple distributions case. As far as the theoretical justifications are concerned we show that when one intends to select the best features in a generative maximum entropy approach, maximum discrimination using J−divergence emerges naturally in binary classification. Performance and comparative study of the proposed algorithms have been demonstrated on large dimensional text and gene expression datasets that show our methods scale up very well with large dimensional datasets.

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Enhancing Data Analysis with Noise Removal

Removing objects that are noise is an important goal of data cleaning as noise hinders most types... more Removing objects that are noise is an important goal of data cleaning as noise hinders most types of data analysis. Most existing data cleaning methods focus on removing noise that is the result of low-level data errors that result from an imperfect data collection process, but data objects that are irrelevant or only weakly relevant can also significantly hinder data analysis. Thus, if the goal is to enhance the data analysis as much as possible, these objects should also be considered as noise, at least with respect to the underlying analysis. Consequently, there is a need for data cleaning techniques that remove both types of noise. Because data sets can contain large amounts of noise, these techniques also need to be able to discard a potentially large fraction of the data. This paper explores four techniques intended for noise removal to enhance data analysis in the presence of high noise levels.

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On Extracting Structured Knowledge from Unstructured Business Documents

Efficient management of text data is a major concern of business organizations. In this direction... more Efficient management of text data is a major concern of business organizations. In this direction, we propose a novel approach to extract structured knowledge from large corpora of unstructured business documents. This knowledge is represented in the form of object instances, which are common ways of organizing the available information about entities, and are modeled here using document templates. The approach itself is based on the observation that a significant fraction of these documents are created using the cut-copy-paste method, and thus, it is important to factor this observation into business document analysis projects. Correspondingly, our approach solves the problem of object instance extraction in two steps, namely similarity search and then extraction of object instances from the selected documents. Early qualitative results on a couple of carefully selected document corpora indicate the effective applicability of the approach for solving an important component of the efficient text management problem.

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Simulation, modeling & verification of velocity interferometer in high strain rate experiments

2014 Annual Ieee India Conference, Dec 1, 2014

Disseminated nocardiosis in a young male with nephrotic syndrome

The Journal of Association of Chest Physicians, 2016

Impact of Inflation on Indian housing Finance Industry

Tij S Research Journal of Economics Business Studies Rjebs, Jul 26, 2014

Prediction of Genetic Interactions Using Machine Learning and Network Properties

Frontiers in bioengineering and biotechnology, 2015