Saad Khan

ORCID: 0000-0003-4686-4923
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About
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Research Areas
  • Acute Myeloid Leukemia Research
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Gut microbiota and health
  • Immune Cell Function and Interaction
  • Video Surveillance and Tracking Methods
  • Adipokines, Inflammation, and Metabolic Diseases
  • IL-33, ST2, and ILC Pathways
  • Intelligent Tutoring Systems and Adaptive Learning
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis
  • Video Analysis and Summarization
  • Adipose Tissue and Metabolism
  • Image Processing Techniques and Applications
  • Face recognition and analysis
  • Innovative Teaching and Learning Methods
  • Liver Disease Diagnosis and Treatment
  • Music and Audio Processing
  • Diabetes and associated disorders
  • AI-based Problem Solving and Planning
  • Speech and Audio Processing
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications
  • Liver Diseases and Immunity

Prince Sultan University
2025

Toronto General Hospital
2019-2024

University Health Network
2019-2024

University of Toronto
2006-2024

Texas State University
2024

Albert Einstein College of Medicine
2019-2023

West Virginia University
2014-2023

Stuttgart University of Applied Sciences
2023

Toronto General Hospital Research Institute
2022

Khyber Teaching Hospital
2021

Occlusion and lack of visibility in crowded cluttered scenes make it difficult to track individual people correctly consistently, particularly a single view. We present multi-view approach solving this problem. In our we neither detect nor objects from any camera or pair; rather evidence is gathered all the cameras into synergistic framework detection tracking results are propagated back each Unlike other approaches that require fully calibrated views purely image-based uses only 2D...

10.1109/tpami.2008.102 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2009-01-20

Abstract The intestinal immune system is emerging as an important contributor to obesity-related insulin resistance, but the role of B cells in this context unclear. Here, we show that high fat diet (HFD) feeding alters IgA + and a critical regulator glucose homeostasis. Obese mice have fewer less secretory IgA-promoting mediators. HFD-fed IgA-deficient dysfunctional metabolism, phenotype can be recapitulated by adoptive transfer intestinal-associated pan-B cells. Mechanistically, crucial...

10.1038/s41467-019-11370-y article EN cc-by Nature Communications 2019-08-13

Stiffness in the tissue microenvironment changes most diseases and immunological conditions, but its direct influence on immune system is poorly understood. Here, we show that static tension impacts cell function, maturation, metabolism. Bone-marrow-derived and/or splenic dendritic cells (DCs) grown vitro at physiological resting stiffness have reduced proliferation, activation, cytokine production compared with under higher stiffness, mimicking fibro-inflammatory disease. Consistently, DCs...

10.1016/j.celrep.2020.108609 article EN cc-by-nc-nd Cell Reports 2021-01-01

Background and Aims Nonalcoholic steatohepatitis is rapidly becoming the leading cause of liver failure indication for transplantation. Hepatic inflammation a key feature NASH but immune pathways involved in this process are poorly understood. B lymphocytes cells adaptive system that critical regulators responses. However, role pathogenesis potential mechanisms to their activation unclear. Approach Results In study, we report livers accumulate with elevated pro‐inflammatory cytokine...

10.1002/hep.31755 article EN Hepatology 2021-02-20

We address the issue of tracking moving objects in an environment covered by multiple uncalibrated cameras with overlapping fields view, typical most surveillance setups. In such a scenario, it is essential to establish correspondence between tracks same object, seen different cameras, recover complete information about object. call this problem consistent labeling when cameras. employ novel approach finding limits field view (FOV) each camera as visible other show that, if FOV lines are...

10.1109/tpami.2003.1233912 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2003-09-30

In this paper we present a novel approach using 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and motion of actors observed multiple modeling process starts with reconstructing 3D visual hulls at each time instant. Spatiotemporal features are then computed in view by analyzing the differential geometric properties spatio-temporal volumes (3D STVs) generated concatenating actor's silhouette over course (x, y, t)....

10.1109/cvpr.2008.4587737 article EN 2009 IEEE Conference on Computer Vision and Pattern Recognition 2008-06-01

Non-alcoholic fatty liver disease (NAFLD) covers a wide spectrum of pathology ranging from simple to non-alcoholic steatohepatitis (NASH). Notably, immune cell-driven inflammation is key mechanism in the transition more serious NASH. Although exercise training effective ameliorating obesity-related diseases, underlying mechanisms beneficial effects remain unclear. It unknown whether there an optimal modality and intensity treat NAFLD. The objective this study was determine high-intensity...

10.1016/j.molmet.2021.101270 article EN cc-by-nc-nd Molecular Metabolism 2021-06-10

Video segmentation is different from of a single image. While several correct solutions may exist for segmenting image, there needs to be consistency among segmentations each frame video segmentation. Previous approaches concentrate on motion, or combine motion and color information in batch fashion. We propose maximum posteriori probability (MAP) framework that uses multiple cues, like spatial location, assign weights terms, which are adjusted at every pixel, based confidence measure...

10.1109/cvpr.2001.991039 article EN 2005-08-24

Generative Adversarial Networks (GANs) have been shown to produce synthetic face images of compelling realism. In this work, we present a conditional GAN approach generate contextually valid facial expressions in dyadic human interactions. contrast previous work employing conditions related attributes generated identities, focused on dyads an attempt model the relationship and influence one person's reaction other. To end, introduced two level optimization GANs interviewer-interviewee first...

10.1109/cvprw.2017.280 article EN 2017-07-01

Abstract Background/objectives Low-grade chronic inflammation in visceral adipose tissue and the intestines are important drivers of obesity associated insulin resistance. Bioactive compounds derived from plants an source potential novel therapies for treatment diseases. In search new immune based treatments resistance, we screened relevant anti-inflammatory properties 20 plant-based extracts. Methods We extracts to assess preferential production IL-10 compared TNFα, specifically targetting...

10.1038/s41366-019-0340-1 article EN cc-by International Journal of Obesity 2019-04-03

Multiple cameras are needed to cover large environments for monitoring activity. To track people successfully in multiple perspective imagery, one needs establish correspondence between objects captured cameras. We present a system tracking uncalibrated The is able discover spatial relationships the camera fields of view and use this information correspond different views same person. employ novel approach finding limits field (FOV) as visible other Using information, when person seen...

10.1109/iccv.2001.937537 article EN 2002-11-13

In this paper, a novel object class detection method based on 3D modeling is presented. Instead of using complicated mechanism for relating multiple 2D training views, the proposed establishes spatial connections between these views by mapping them directly to surface model. The shape an reconstructed homographic framework from set model around and represented volume consisting binary slices. Features are computed in each view mapped same framework. To generalize detection, features...

10.1109/iccv.2007.4409042 article EN 2007-01-01

In this paper we present an algorithm for the autonomous navigation of unmanned aerial vehicle (UAV) following a moving target. The UAV in consideration is fixed wing aircraft that has physical constraints on airspeed and maneuverability. target however not considered to be constrained can move any general pattern. We show single circular pattern works targets at speed with where other methods switch between different strategies scenarios. Simulation performed takes into also needs visually...

10.1117/12.667356 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2006-05-05

Adrenaline and noradrenaline are produced within the heart from neuronal non-neuronal sources. These adrenergic hormones have profound effects on cardiovascular development function, yet relatively little information is available about specific tissue distribution of cells adult heart. The purpose present study was to define anatomical localization derived an lineage To accomplish this, we performed genetic fate-mapping experiments where mice with cre-recombinase (Cre) gene inserted into...

10.1371/journal.pone.0022811 article EN cc-by PLoS ONE 2011-07-27

Background: Diabetes mellitus (DM) is a syndrome of chronically elevated glucose level in the blood either due to insulin resistance, deficiency or both. In addition, it may occur defective metabolism carbohydrates, fats and proteins. There are 3 main types DM: Type 2 DM more prevalent adults typically relative deficiency, children leads type 1; lastly, gestational diabetes occurs during pregnancy resulting from an imbalance placental hormones. Introduction: Insulin, Biguanides Sulfonylureas...

10.4236/jdm.2021.114009 article EN Journal of Diabetes Mellitus 2021-01-01
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