T.Venkatesh
· Associate ProfessorStony Brook University · Chemical and Molecular Engineering
Active 2013–2024
About
T. Venkatesh is an Associate Professor in the Department of Materials Science and Engineering at Stony Brook University. His research group focuses on understanding the fundamental structure-property relationships in advanced materials across multiple structural and functional length scales. His work is particularly directed towards addressing materials issues in the areas of Nanotechnology, Biotechnology, and Energy Technology. Venkatesh has a distinguished academic background, earning his Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology in 1998, with a minor in Business Administration from the Sloan School of Management. He also holds a Bachelor of Technology degree in Metallurgical Engineering from the Indian Institute of Technology, Madras, India. His career includes positions at Tulane University and Stony Brook University, where he has served as an Assistant Professor since 2007 and as an Associate Professor since 2013. Throughout his career, Venkatesh has received numerous honors and awards, including a National Science Foundation CAREER Award in 2006, and has been recognized for his contributions to education and research. His professional activities include advising students, participating in research initiatives, and contributing to the academic community through various roles.
Research topics
- Computer Science
- Artificial Intelligence
- Mathematics
- Natural Language Processing
- Marketing
- Chemistry
- Operations research
- Virology
- Biology
- Immunology
- Genetics
- Business
- Engineering
- Zoology
- Speech recognition
- Computational biology
Selected publications
Venous Return in Chronic Obstructive Pulmonary Disease Assessed with 4D Flow MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2024
- Medicine
- Cardiology
- Internal medicine
Motivation: Chronic obstructive pulmonary disease (COPD) and emphysema are associated with hemodynamic changes in the pulmonary vasculature, possibly related to increased intra-thoracic pressure during expiration, altering venous return into the thorax. Goal(s): Assess the association of respiratory dysfunction with hemodynamic parameters of venous return. Approach: Velocity, kinetic energy, and stasis in the superior vena cava and inferior vena cava were quantified with 4D Flow MRI in 72 subjects across the COPD spectrum in an ongoing study (SPIROMICS HF). Results: Our results show an association of impaired (reduced) venous return to the thorax with airway obstruction as assessed by spirometry. Impact: This study demonstrates impaired venous return in subjects with COPD, which warrant further investigations into the cardiopulmonary interactions of right heart flow in COPD and its potential value as a noninvasive marker of disease progression.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2024
- Cardiology
- Medicine
- Internal medicine
Motivation: Previous studies have suggested impaired cardiovascular function in patients with chronic obstructive pulmonary disease (COPD). However, the association between lung disease severity and the degree of cardiac hemodynamic impairment is not well understood. Goal(s): We aimed to characterize the hemodynamic changes seen in COPD in order to gain insight into the mechanisms relating COPD and heart failure. Approach: We analyzed 4D-flow derived hemodynamics in a preliminary sample of 72 participants from the SPIROMICS-HF study. Results: We found that impaired hemodynamics in the right atrium (blood flow kinetic energy and velocity) and pulmonary artery (flow stasis and velocity) are associated with greater COPD severity. Impact: This study represents a key step in exploring the cardiopulmonary hemodynamic interaction in chronic obstructive pulmonary disease.
Nature Communications · 2023 · 6 citations
- Virology
- Computational biology
- Chemistry
immunization enhanced antibodies targeting conserved epitopes on AMA1, leading to increased neutralization of non-vaccine type parasites. Identifying these cross-neutralizing antibody epitopes holds promise for developing an effective, strain-transcending malaria vaccine.
EBioMedicine · 2023 · 31 citations
- Medicine
- Internal medicine
- Cardiology
BACKGROUND: Cardiac magnetic resonance imaging (CMR) determines the extent of interstitial fibrosis, measured by increased extracellular volume (ECV), and replacement fibrosis with late gadolinium myocardial enhancement (LGE). Despite advances in detection, the pathophysiology of subclinical myocardial fibrosis is incompletely understood. Targeted proteomic discovery technologies enable quantification of low abundance circulating proteins to elucidate cardiac fibrosis mechanisms. METHODS: Using a cross-sectional design, we selected 92 LGE+ cases and 92 LGE- demographically matched controls from the Multi-Ethnic Study of Atherosclerosis. Similarly, we selected 156 cases from the highest ECV quartile and matched with 156 cases from the lowest quartile. The plasma serum proteome was analyzed using proximity extension assays to determine differential regulation of 92 proteins previously implicated with cardiovascular disease. Results were analyzed using volcano plots of statistical significance vs. magnitude of change and Bayesian additive regression tree (BART) models to determine importance. FINDINGS: After adjusting for false discovery, higher ECV was significantly associated with 17 proteins. Using BART, Plasminogen activator inhibitor 1, Insulin-like growth factor-binding protein 1, and N-terminal pro-B-type natriuretic peptide were associated with higher ECV after accounting for other proteins and traditional cardiovascular risk factors. In contrast, no circulating proteins were associated with replacement fibrosis. INTERPRETATIONS: Our results suggest unique circulating proteomic signatures associated with interstitial fibrosis emphasizing its systemic influences. With future validation, protein panels may identify patients who may develop interstitial fibrosis with progression to heart failure. FUNDING: This research was supported by contracts and grants from NHLBI, NCATS and the Inova Heart and Vascular Institute.
Renin-Angiotensin Inhibition and Outcomes in HFrEF and Advanced Kidney Disease
The American Journal of Medicine · 2023 · 9 citations
- Medicine
- Internal medicine
- Cardiology
American Journal of Clinical Nutrition · 2023 · 18 citations
- Medicine
- Internal medicine
- Endocrinology
BACKGROUND: The potential role for choline metabolite trimethylamine N-oxide (TMAO) in cardiovascular disease (CVD) has garnered much attention, but there have been limited data from diverse population-based cohorts. Furthermore, few studies have included circulating choline and betaine, which can serve as precursors to TMAO and may independently influence CVD. OBJECTIVE: We quantified prospective associations between 3 choline metabolites and 19-y incident CVD in a population-based cohort and tested effect modification of metabolite-CVD associations by kidney function. METHODS: Data were from the Coronary Artery Risk Development in Young Adults (CARDIA) Study, a prospective cohort with recruitment from 4 US urban centers (year 0: 1985-1986, n = 5115, ages 18-30). The analytic sample included 3444 White and Black males and females, aged 33 to 45, who attended the year 15 follow-up exam and did not have prevalent CVD. TMAO, choline, and betaine were quantitated from stored plasma (-70°C) using liquid-chromatography mass-spectrometry. Nineteen-year incident CVD events (n = 221), including coronary heart disease and stroke, were identified through adjudicated hospitalization records and linkage with the National Death Register. RESULTS: Plasma choline was positively associated with CVD in Cox proportional hazards regression analysis adjusted for demographics, health behaviors, CVD risk factors, and metabolites (hazard ratio: 1.24; 95% CI: 1.09, 1.40 per standard deviation-unit choline). TMAO and betaine were not associated with CVD in an identically adjusted analysis. There was statistical evidence for effect modification by kidney function with CVD positively associated with TMAO and negatively associated with betaine at lower values of estimated glomerular filtration rate (interaction P values: 0.0046 and 0.020, respectively). CONCLUSIONS: Our findings are consistent with a positive association between plasma choline and incident CVD. Among participants with lower kidney function, TMAO was positively, and betaine negatively, associated with CVD. These results further our understanding of the potential role for choline metabolism on CVD risk.
Tabla Gharānā Recognition from Tabla Solo Recordings
2022 · 1 citations
- Computer Science
- Artificial Intelligence
- Natural Language Processing
Tabla is a percussion instrument in North Indian music tradition. Teaching practices and performances of tabla are based on stylistic schools called gharana-s. Gharana-s are characterized by their unique playing technique, finger posture, improvisations, and compositional patterns (signature patterns). Recognizing the gharana information from a tabla performance is hence helpful to characterize the performance. In this paper, we explore an approach for gharana recognition from solo tabla recordings by searching for the characteristic tabla phrases in these recordings. The tabla phrases are modeled as sequences of strokes, and characteristic phrases from the gharana compositions are chosen as query patterns. The recording is automatically transcribed into a syllable sequence using Hidden Markov Models (HMM). The Rough Longest Common Subsequence (RLCS) approach is used to search for the query pattern instances. A decision rule is proposed to recognize the gharana from the patterns.
Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19
Journal of the American College of Cardiology · 2022 · 30 citations
- Medicine
- Emergency medicine
- Intensive care medicine
BACKGROUND: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown. OBJECTIVES: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide. METHODS: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery. RESULTS: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians' psychological stress were significant in predicting recovery of cardiac testing. CONCLUSIONS: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.
European Journal of Heart Failure · 2021 · 165 citations
- Medicine
- Cardiology
- Internal medicine
AIMS: CONCERT-HF is an NHLBI-sponsored, double-blind, placebo-controlled, Phase II trial designed to determine whether treatment with autologous bone marrow-derived mesenchymal stromal cells (MSCs) and c-kit positive cardiac cells (CPCs), given alone or in combination, is feasible, safe, and beneficial in patients with heart failure (HF) caused by ischaemic cardiomyopathy. METHODS AND RESULTS: Patients were randomized (1:1:1:1) to transendocardial injection of MSCs combined with CPCs, MSCs alone, CPCs alone, or placebo, and followed for 12 months. Seven centres enrolled 125 participants with left ventricular ejection fraction of 28.6 ± 6.1% and scar size 19.4 ± 5.8%, in New York Heart Association class II or III. The proportion of major adverse cardiac events (MACE) was significantly decreased by CPCs alone (-22% vs. placebo, P = 0.043). Quality of life (Minnesota Living with Heart Failure Questionnaire score) was significantly improved by MSCs alone (P = 0.050) and MSCs + CPCs (P = 0.023) vs. placebo. Left ventricular ejection fraction, left ventricular volumes, scar size, 6-min walking distance, and peak oxygen consumption did not differ significantly among groups. CONCLUSIONS: This is the first multicentre trial assessing CPCs and a combination of two cell types from different tissues in HF patients. The results show that treatment is safe and feasible. Even with maximal guideline-directed therapy, both CPCs and MSCs were associated with improved clinical outcomes (MACE and quality of life, respectively) in ischaemic HF without affecting left ventricular function or structure, suggesting possible systemic or paracrine cellular mechanisms. Combining MSCs with CPCs was associated with improvement in both these outcomes. These results suggest potential important beneficial effects of CPCs and MSCs and support further investigation in HF patients.
A Web Application for Customer Segment based Black Friday Sales Forecast
2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021 · 6 citations
- Computer Science
- Artificial Intelligence
- Computer Science
The study shows how factors internal to the sales forecasting process can introduce bias. Black Friday is upon us, and retailers everywhere stock up on inventory at dramatic discounts. The products aren't accessible to some clients due to poor arrangements, despite good sales. Managing a small staff and keeping potential customers in mind is more of a concern for shopkeepers. Despite some attempts at effective inventory management and sales forecast, the results have not been favorable. A prediction model has proven effective in managing this issue. By analyzing the previous spending patterns of clients, a precise and efficient algorithm can predict future spending. A variety of data analysis strategies, including regressors and classifiers, are employed to evaluate specificity and accuracy. Then, different algorithms are used to implement machine learning techniques. An extensive report of sales for Black Friday 2019 has been compiled. To calculate the volume, we took into account various factors, including age group, occupation, product category, city, etc. A store that wishes to predict sales could do so from this information. We have deployed our Flask-based user interface after determining which model is the best fit.
Frequent coauthors
- 6 shared
Deepti Sarkar
Johns Hopkins University
- 6 shared
Sean Yanik
Bloomberg (United States)
- 6 shared
Ababacar Diouf
National Institutes of Health
- 6 shared
Carole A. Long
National Institutes of Health
- 6 shared
Kazutoyo Miura
National Institutes of Health
- 5 shared
Michelle Parker
Stellenbosch University
- 4 shared
Prakash Sriniva
University of Victoria
- 3 shared
Martin J. Boulanger
University of Victoria
Labs
Materials Science and Chemical EngineeringPI
Awards & honors
- CAREER Award - National Science Foundation (2006)
- Research Competitiveness Award – Louisiana Board of Regents…
- DURINT - Nanotechnology Research Award (Office of Naval Rese…
- Outstanding Reviewer Award – Acta Materialia (1998)
- Sigma Xi, National Honor Society (1995)
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