Nandakumar Venkatesan

Scopus Publications

Automated Sperm Morphology and Quality Scoring Using Explainable EfficentNet-B0 Driven Framework
Reshmma Vijayakumar, Nandakumar Venkatesan
Communications in Computer and Information Science, 2026
Integrated artificial intelligence and omics for prediction and monitoring of pre-eclampsia
Vidya P. Baiju, Ranjani Subash, Nandakumar Venkatesan
International Journal of Gynecology and Obstetrics, 2026
Pre‐eclampsia is a difficult pregnancy condition that causes high blood pressure and can lead to health complications in both mother and newborn, resulting in a higher fatality rate. It presents with a wide range of symptoms and lacks specific indicators, as the contemporary diagnostic techniques, including proteinuria testing and blood pressure measurements, are not reliable. The current evolution in artificial intelligence (AI) technology tends to show a promising transformation of pre‐eclampsia management. AI algorithms are applied to process larger sets of clinical, biochemical, and image data that facilitate timely medical interventions by bringing up the early‐onset and severity of pre‐eclampsia. By analyzing the red cell distribution width (blood test indicators for pre‐eclampsia), it is recognized as a cost‐effective way of detecting inflammation. The application of AI technology on non‐invasive diagnostic (wearable) devices enables continuous monitoring with imaging techniques for the placenta and retina via cloud‐based systems. These developments are not only applied for early detection of pre‐eclampsia, but also assist decision making capabilities in both high‐ and low‐resource environments. This article explains how the growing use of AI is changing the way that pre‐eclampsia is understood and managed, with the aim of improving accuracy and offering more personalized care for pregnant women.
Differentiation of Basal and Activated Autophagy Using CNN Algorithm
Rashmicka Suresh, Revanth Subramaniam BalaSaravanan, Sharvesh Vigneswara Rajah, Nandakumar Venkatesan
Communications in Computer and Information Science, 2026
Evaluation of Antitubercular Drug Release Kinetics from Polylactic Acid - Polyethylene Glycol Diblock Nano- Carriers
Malathi Sampath, Nandakumar Venkatesan, Saravanan Selvaraj, Vinodhini Sridharan, Ezhilarasu Tamilarasu, Balasubramanian Sengottuvelan
Communications in Computer and Information Science, 2026
Biofilm-Forming Ability of Infectious Organisms on Biomimetic Surfaces─An In Vitro and Machine-Learning Analysis
Geetha Venkatachalam, Nandakumar Venkatesan, Shloak Vatsal, Indira Chavan, Arnab Bakshi, Mukesh Doble
ACS Omega, 2025
The current study explores the adhesion and biofilm-forming ability of different opportunistic pathogens including Staphylococcus aureus, Escherichia coli, Lactobacillus spp., Streptococcus mutans, and Pseudomonas aeruginosa on lotus leaf (LL) and peepal leaf (PL) inspired biomimetic hydrophobic surfaces. Surface topology that mimics the respective leaves was fabricated using polylactic acid by solvent casting. Water contact-angle measurements revealed varying degrees of material surface hydrophobicity with respect to the varying surface roughness. The biofilm formation was significantly influenced by the type of polymer surface (p < 0.005) and the hydrophobicity of the bacterial surface (p < 0.0001). Multilayer perceptron (MLP), a feed-forward neural network, gave the best results with 5-fold cross-validation and an accuracy of 85%. J48-base model predicted that organisms with a surface hydrophobicity of >57% had higher biofilm-forming ability than others. Similarly, polymers with low surface roughness (roughness < 0.46) had reduced biofilm formation. In conclusion, biomimetic hydrophobic surfaces reduce the biofilm formation on implants.
Enhancing performance of VGG-16 for Classifying Dementia Through Synthesized Augmentation using Deep Convolutional Generative Adversarial Network
Rajalakshmi Shenbaga Moorthy, Nandakumar Venkatesan, Sathish Kumar Kamaraj
2025 International Symposium on Networks Computers and Communications Isncc 2025, 2025
Dementia is a progressive neuro disorder affecting cognitive functions such as memory and reasoning. Early and accurate diagnosis is crucial for timely intervention. Deep learning models have shown promise in medical image classification. However, challenges such as class imbalance in datasets and lack of model interpretability affect the effectiveness of dementia diagnosis. A significant imbalance between healthy and dementia affected images lead to biased performance. Additionally, the functioning of a deep learning model is viewed as a black box, which limits its clinical adoption. This research aims to improve dementia classification and model interpretability by addressing the aforementioned limitations. Deep Convolutional Generative Adversarial Network (DCGAN) is utilized for synthetic data augmentation to balance the dataset. Gradient Class Activation Mapping (Grad-CAM) is used to visualize the decision of the model. The Visual Geometry Group (VGG) - 16 based classifier is trained on a combined dataset (original + augmented) using categorical cross-entropy loss and Adam Optimizer. Performance of the classifier is evaluated through accuracy, precision, and recall. Similarly, the quality of the image is assessed through Structural Similarity Index Measure (SSIM) and the Frechet Inception Distance (FID). Results indicate a significant improvement in classification accuracy with combined data yielding 95.63% validation accuracy when compared to $85.20 \%$ on the original dataset. Similarly, SSIM and FID scores prove the effectiveness of DCGAN-generated images in enhancing data diversity. The critical brain regions are highlighted through Grad-CAM, which proves the transparency of the model. These findings prove that integrating synthetic data augmentation and explainability techniques enhances both accuracy and interpretability in dementia diagnosis.
Decoding the endometrial niche of Asherman’s Syndrome at single-cell resolution
Xavier Santamaria, Beatriz Roson, Raul Perez-Moraga, Nandakumar Venkatesan, Maria Pardo-Figuerez, Javier Gonzalez-Fernandez, Jaime Llera-Oyola, Estefania Fernández, Inmaculada Moreno, Andres Salumets, Hugo Vankelecom, Felipe Vilella, Carlos Simon
Nature Communications, 2023
Asherman’s Syndrome is characterized by intrauterine adhesions or scarring, which cause infertility, menstrual abnormalities, and recurrent pregnancy loss. The pathophysiology of this syndrome remains unknown, with treatment restricted to recurrent surgical removal of intrauterine scarring, which has limited success. Here, we decode the Asherman’s Syndrome endometrial cell niche by analyzing data from over 200,000 cells with single-cell RNA-sequencing in patients with this condition and through in vitro analyses of Asherman’s Syndrome patient-derived endometrial organoids. Our endometrial atlas highlights the loss of the endometrial epithelium, alterations to epithelial differentiation signaling pathways such as Wnt and Notch, and the appearance of characteristic epithelium expressing secretory leukocyte protease inhibitor during the window of implantation. We describe syndrome-associated alterations in cell-to-cell communication and gene expression profiles that support a dysfunctional pro-fibrotic, pro-inflammatory, and anti-angiogenic environment.
Epidermal growth factor receptor targeted doxorubicin and vitexin loaded niosomes for enhanced breast cancer therapy
S. Malathi, Valappil Sisila, V. Singaravel, Nandakumar Venkatesan, Iqbal Pakrudheen, R. Dhanaraj, Niraikulam Ayyadurai, V. Bhuvarahamurthy, S. Narayana Kalkura
Materials Advances, 2023
NIODVC (cetuximab-conjugated doxorubicin and vitexin loaded niosome) proves effective for targeted breast cancer therapy. Enhanced cytotoxicity, cellular uptake, and gene downregulation show promise.
Cyclic β-(1, 2)-glucan blended poly DL lactic co glycolic acid (PLGA 10:90) nanoparticles for drug delivery
Geetha Venkatachalam, Nandakumar Venkatesan, Ganesan Suresh, Mukesh Doble
Heliyon, 2019
Our group had previously reported the encapsulation efficiency of cyclic β-(1, 2)-glucan for various drugs. The current study is aimed at evaluating the use of glucan as a drug carrier system by blending with poly lactic-co- glycolic acid (L:G = 10:90). Nanoparticles of glucan (0.5, 5, 10 and 20 wt %) blended with PLGA and gentamicin were synthesized. Encapsulation efficiency was higher for the blends (93% with 20 wt % of glucan) than the PLGA alone (79.8%). The presence of glucan enhanced both the biodegradability, and biocompatibility of PLGA. Degradation of the nanoparticles in vitro, was autocatalytic with an initial burst release of active drug and the release profile was modeled using the Korsmeyer-Peppas scheme. In vivo studies indicated that the drug released from the blends had high volume of distribution, and greater clearance from the system. Pharmacokinetics of the drug was predicted using a double exponential decay model. Blending with PLGA improved the drug release characteristics of the cyclic β-(1, 2)-glucan.
Biodegradable polymerized simvastatin stimulates bone formation
Nandakumar Venkatesan, A.D. Thilanga Liyanage, Jaime Castro-Núñez, Theodora Asafo-Adjei, Larry L. Cunningham, Thomas D. Dziubla, David A. Puleo
Acta Biomaterialia, 2019
Drug delivery systems and controlled release
Nicholas J. Kohrs, Thilanga Liyanage, Nandakumar Venkatesan, Amir Najarzadeh, David A. Puleo
Encyclopedia of Biomedical Engineering, 2019
Drug Delivery Systems and Controlled Release
Nicholas J. Kohrs, Thilanga Liyanage, Nandakumar Venkatesan, Amir Najarzadeh, David A. Puleo
Encyclopedia of Biomedical Engineering, 2018
Labeling and analysis of chicken taste buds using molecular markers in oral epithelial sheets
Prasangi Rajapaksha, Zhonghou Wang, Nandakumar Venkatesan, Kayvan F. Tehrani, Jason Payne, Raymond L. Swetenburg, Fuminori Kawabata, Shoji Tabata, Luke J. Mortensen, Steven L. Stice, Robert Beckstead, Hong-Xiang Liu
Scientific Reports, 2016
Distribution of α-Gustducin and Vimentin in premature and mature taste buds in chickens
Nandakumar Venkatesan, Prasangi Rajapaksha, Jason Payne, Forrest Goodfellow, Zhonghou Wang, Fuminori Kawabata, Shoji Tabata, Steven Stice, Robert Beckstead, Hong-Xiang Liu
Biochemical and Biophysical Research Communications, 2016
Taste bud labeling in whole tongue epithelial sheet in adult mice
Nandakumar Venkatesan, Kristin Boggs, Hong-Xiang Liu
Tissue Engineering Part C Methods, 2016
In vitro and in vivo studies of biodegradable fine grained AZ31 magnesium alloy produced by equal channel angular pressing
B. Ratna Sunil, T.S. Sampath Kumar, Uday Chakkingal, V. Nandakumar, Mukesh Doble, V. Devi Prasad, M. Raghunath
Materials Science and Engineering C, 2016
Contribution of underlying connective tissue cells to taste buds in mouse tongue and soft palate
Kristin Boggs, Nandakumar Venkatesan, Ingmar Mederacke, Yoshihiro Komatsu, Steve Stice, Robert F. Schwabe, Charlotte M. Mistretta, Yuji Mishina, Hong-Xiang Liu
Plos One, 2016
Bacterial resistance in biofilm-associated bacteria
Nandakumar Venkatesan, Govindaraj Perumal, Mukesh Doble
Future Microbiology, 2015
Magnetoimpedance studies on urine treated Co66Ni7Si7B20 ribbons
Ganesh Kotagiri, G. Markandeyulu, Mukesh Doble, V. Nandakumar
Journal of Magnetism and Magnetic Materials, 2015
A novel microwave recipe for an antibiofilm titanium surface
Judy Gopal, Venkatesan Nandakumar, Mukesh Doble
Materials Science and Engineering C, 2015
Water dispersible Ag@polyaniline-pectin as supercapacitor electrode for physiological environment
Chellachamy A. Amarnath, Nandakumar Venkatesan, Mukesh Doble, Shilpa N. Sawant
Journal of Materials Chemistry B, 2014
Friction stir processing of magnesium-nanohydroxyapatite composites with controlled in vitro degradation behavior
B. Ratna Sunil, T.S. Sampath Kumar, Uday Chakkingal, V. Nandakumar, Mukesh Doble
Materials Science and Engineering C, 2014
Toxicity of high glycolic poly(dl-lactic-co-glycolic acid) stabilized ruthenium nanoparticles against human promyelocytic leukemia cells
Venkatesan Nandakumar, Venkatesan Vettriselvi, Mukesh Doble
Rsc Advances, 2014
Characterization and applications of cyclic β-(1,2)-glucan produced from R. Meliloti
Geetha Venkatachalam, Venkatesan Nandakumar, Ganesan Suresh, Mukesh Doble
Rsc Advances, 2014
Nano-hydroxyapatite reinforced AZ31 magnesium alloy by friction stir processing: A solid state processing for biodegradable metal matrix composites
B. Ratna Sunil, T. S. Sampath Kumar, Uday Chakkingal, V. Nandakumar, Mukesh Doble
Journal of Materials Science Materials in Medicine, 2014
Wettability and in vitro bioactivity studies on titanium rods processed by equal channel angular pressing
P. Jojibabu, B. Ratna Sunil, T. S. Sampath Kumar, Uday Chakkingal, V. Nandakumar, Mukesh Doble
Transactions of the Indian Institute of Metals, 2013
High glycolic poly (DL lactic co glycolic acid) nanoparticles for controlled release of meropenem
Venkatesan Nandakumar, Venkatachalam Geetha, Samuel Chittaranjan, Mukesh Doble
Biomedicine and Pharmacotherapy, 2013
Characteristics of bacterial biofilm associated with implant material in clinical practice
Venkatesan Nandakumar, Samuel Chittaranjan, Valikapathalil Mathew Kurian, Mukesh Doble
Polymer Journal, 2013
Synthesis and characterization of hydrophilic high glycolic acid-poly(dl-lactic-co-glycolic acid)/polycaprolactam/polyvinyl alcohol blends and their biomedical application as a ureteral material
Venkatesan Nandakumar, Ganesan Suresh, Samuel Chittaranjan, Mukesh Doble
Industrial and Engineering Chemistry Research, 2013
Comparative characterization of renal calculi from patients with clinical disorders
Venkatesan Nandakumar, Karthik Krishnasamy, Jeyakumar Dhavamani, Sunil Shroff, Mukesh Doble
Clinical Biochemistry, 2012
Effect of uropathogens on in vitro encrustation of polyurethane double J ureteral stents
Nandakumar Venkatesan, Sunil Shroff, Karthik Jeyachandran, Mukesh Doble
Urological Research, 2011
Polymers as ureteral stents
Nandakumar Venkatesan, Sunil Shroff, Karthik Jayachandran, Mukesh Doble
Journal of Endourology, 2010

RECENT SCHOLAR PUBLICATIONS

Autophagy Using CNN Algorithm
SV Rajah, N Venkatesan
Advances on Signal Processing and Computer Vision: Second International … , 2026
2026
Integrated artificial intelligence and omics for prediction and monitoring of pre‐eclampsia
VP Baiju, R Subash, N Venkatesan
International Journal of Gynecology & Obstetrics , 2026
2026
Enhancing performance of VGG-16 for Classifying Dementia Through Synthesized Augmentation using Deep Convolutional Generative Adversarial Network
RS Moorthy, N Venkatesan, SK Kamaraj
2025 International Symposium on Networks, Computers and Communications … , 2025
2025
Biofilm-Forming Ability of Infectious Organisms on Biomimetic Surfaces─An In Vitro and Machine-Learning Analysis
G Venkatachalam, N Venkatesan, S Vatsal, I Chavan, A Bakshi, M Doble
ACS omega 10 (35), 39946-39954 , 2025
2025
Citations: 1
Automated Sperm Morphology and Quality Scoring Using Explainable EfficentNet-B0 Driven Framework
R Vijayakumar, N Venkatesan
International Conference on Signal Processing and Computer Vision, 143-154 , 2025
2025
Differentiation of Basal and Activated Autophagy Using CNN Algorithm
R Suresh, RS BalaSaravanan, SV Rajah, N Venkatesan
International Conference on Signal Processing and Computer Vision, 131-142 , 2025
2025
Decoding the endometrial niche of Asherman’s Syndrome at single-cell resolution
B Roson Burgo, R Pérez-Moraga, N Venkatesan, M Pardo-Figuerez, ...
Nature Portfolio , 2023
2023
Decoding the endometrial niche of Asherman’s Syndrome at single-cell resolution
X Santamaria, B Roson, R Perez-Moraga, N Venkatesan, ...
Nature Communications 14 (1), 5890 , 2023
2023
Citations: 76
P-804 Endometrial recovery via implantable CD133+ stem cells scaffold in Asherman’s syndrome therapy
M Pardo Figuerez, N Venkatesan, E Fernandez, X Santamaría, C Simon
Human Reproduction 38 (Supplement_1), dead093. 1109 , 2023
2023
Epidermal growth factor receptor targeted doxorubicin and vitexin loaded niosomes for enhanced breast cancer therapy
S Malathi, V Sisila, V Singaravel, N Venkatesan, I Pakrudheen, ...
Materials Advances 4 (21), 5224-5237 , 2023
2023
Citations: 14
O-102 Polymeric scaffold loaded with CD133+ BMDSCs for endometrial regeneration in Asherman’s syndrome
N Venkatesan, E Fernandez Garcia, X Santamaria Costa, C Simon Valles
Human Reproduction 36 (Supplement_1), deab125. 072 , 2021
2021
Polymeric scaffold loaded with CD133+ BMDSCs for endometrial regeneration in Asherman's syndrome
N Venkatesan, E Fernandez Garcia, X Santamaria Costa, C Simon Valles
HUMAN REPRODUCTION 36, 34-34 , 2021
2021
Cyclic β-(1, 2)-glucan blended poly DL lactic co glycolic acid (PLGA 10: 90) nanoparticles for drug delivery
G Venkatachalam, N Venkatesan, G Suresh, M Doble
Heliyon 5 (9) , 2019
2019
Citations: 6
Biodegradable polymerized simvastatin stimulates bone formation
N Venkatesan, ADT Liyanage, J Castro-Núñez, T Asafo-Adjei, ...
Acta biomaterialia 93, 192-199 , 2019
2019
Citations: 46
Drug Delivery Systems and Controlled Release
DAP NJ Kohrs, T Liyanage, N Venkatesan, A Najarzadeh
Encyclopedia of Biomedical Engineering, 316-329 , 2018
2018
Citations: 35
Labeling and analysis of chicken taste buds using molecular markers in oral epithelial sheets
P Rajapaksha, Z Wang, N Venkatesan, KF Tehrani, J Payne, ...
Scientific reports 6 (1), 37247 , 2016
2016
Citations: 49
Distribution of α-Gustducin and Vimentin in premature and mature taste buds in chickens
N Venkatesan, P Rajapaksha, J Payne, F Goodfellow, Z Wang, ...
Biochemical and Biophysical Research Communications 479 (2), 305-311 , 2016
2016
Citations: 26
K14-Cre and Dermo1-Cre Each Labels a Subpopulation of Taste Bud Cells in Mice
G Chen, B Marshall, N Venkatesan, HX Liu
CHEMICAL SENSES 41 (7), E44-E44 , 2016
2016
Podoplanin (PDPN) Plays Important Roles in the Development of Taste Organs in Mice
N Venkatesan, M Toda, L Bonewald, Y Mishina, HX Liu
CHEMICAL SENSES 41 (7), E18-E18 , 2016
2016
Taste bud labeling in whole tongue epithelial sheet in adult mice
N Venkatesan, K Boggs, HX Liu
Tissue Engineering Part C: Methods 22 (4), 332-337 , 2016
2016
Citations: 21

MOST CITED SCHOLAR PUBLICATIONS

Bacterial resistance in biofilm-associated bacteria
N Venkatesan, G Perumal, M Doble
Future microbiology 10 (11), 1743-1750 , 2015
2015
Citations: 305
Friction stir processing of magnesium–nanohydroxyapatite composites with controlled in vitro degradation behavior
BR Sunil, TSS Kumar, U Chakkingal, V Nandakumar, M Doble
Materials Science and Engineering: C 39, 315-324 , 2014
2014
Citations: 152
In vitro and in vivo studies of biodegradable fine grained AZ31 magnesium alloy produced by equal channel angular pressing
BR Sunil, TSS Kumar, U Chakkingal, V Nandakumar, M Doble, ...
Materials Science and Engineering: C 59, 356-367 , 2016
2016
Citations: 150
Characteristics of bacterial biofilm associated with implant material in clinical practice
V Nandakumar, S Chittaranjan, VM Kurian, M Doble
Polymer journal 45 (2), 137-152 , 2013
2013
Citations: 150
Polymers as ureteral stents
N Venkatesan, S Shroff, K Jayachandran, M Doble
Journal of endourology 24 (2), 191-198 , 2010
2010
Citations: 133
Nano-hydroxyapatite reinforced AZ31 magnesium alloy by friction stir processing: a solid state processing for biodegradable metal matrix composites
B Ratna Sunil, TS Sampath Kumar, U Chakkingal, V Nandakumar, ...
Journal of Materials Science: Materials in Medicine 25 (4), 975-988 , 2014
2014
Citations: 127
Decoding the endometrial niche of Asherman’s Syndrome at single-cell resolution
X Santamaria, B Roson, R Perez-Moraga, N Venkatesan, ...
Nature Communications 14 (1), 5890 , 2023
2023
Citations: 76
Water dispersible Ag@ polyaniline-pectin as supercapacitor electrode for physiological environment
CA Amarnath, N Venkatesan, M Doble, SN Sawant
Journal of Materials Chemistry B 2 (31), 5012-5019 , 2014
2014
Citations: 72
Effect of uropathogens on in vitro encrustation of polyurethane double J ureteral stents
N Venkatesan, S Shroff, K Jeyachandran, M Doble
Urological research 39 (1), 29-37 , 2011
2011
Citations: 57
Labeling and analysis of chicken taste buds using molecular markers in oral epithelial sheets
P Rajapaksha, Z Wang, N Venkatesan, KF Tehrani, J Payne, ...
Scientific reports 6 (1), 37247 , 2016
2016
Citations: 49
Biodegradable polymerized simvastatin stimulates bone formation
N Venkatesan, ADT Liyanage, J Castro-Núñez, T Asafo-Adjei, ...
Acta biomaterialia 93, 192-199 , 2019
2019
Citations: 46
High glycolic poly (DL lactic co glycolic acid) nanoparticles for controlled release of meropenem
V Nandakumar, V Geetha, S Chittaranjan, M Doble
Biomedicine & Pharmacotherapy 67 (5), 431-436 , 2013
2013
Citations: 39
Drug Delivery Systems and Controlled Release
DAP NJ Kohrs, T Liyanage, N Venkatesan, A Najarzadeh
Encyclopedia of Biomedical Engineering, 316-329 , 2018
2018
Citations: 35
Contribution of underlying connective tissue cells to taste buds in mouse tongue and soft palate
K Boggs, N Venkatesan, I Mederacke, Y Komatsu, S Stice, RF Schwabe, ...
PloS one 11 (1), e0146475 , 2016
2016
Citations: 33
Distribution of α-Gustducin and Vimentin in premature and mature taste buds in chickens
N Venkatesan, P Rajapaksha, J Payne, F Goodfellow, Z Wang, ...
Biochemical and Biophysical Research Communications 479 (2), 305-311 , 2016
2016
Citations: 26
Taste bud labeling in whole tongue epithelial sheet in adult mice
N Venkatesan, K Boggs, HX Liu
Tissue Engineering Part C: Methods 22 (4), 332-337 , 2016
2016
Citations: 21
Characterization and applications of cyclic β-(1, 2)-glucan produced from R. meliloti
G Venkatachalam, V Nandakumar, G Suresh, M Doble
RSC advances 4 (22), 11393-11399 , 2014
2014
Citations: 18
Synthesis and Characterization of Hydrophilic High Glycolic Acid–Poly( dl -Lactic-co-Glycolic Acid)/ Polycaprolactam/Polyvinyl Alcohol Blends and Their Biomedical …
V Nandakumar, G Suresh, S Chittaranjan, M Doble
Industrial & Engineering Chemistry Research 52 (2), 751-760 , 2013
2013
Citations: 18
Wettability and in vitro bioactivity studies on titanium rods processed by equal channel angular pressing
P Jojibabu, BR Sunil, TSS Kumar, U Chakkingal, V Nandakumar, M Doble
Transactions of the Indian Institute of Metals 66 (4), 299-304 , 2013
2013
Citations: 16
Epidermal growth factor receptor targeted doxorubicin and vitexin loaded niosomes for enhanced breast cancer therapy
S Malathi, V Sisila, V Singaravel, N Venkatesan, I Pakrudheen, ...
Materials Advances 4 (21), 5224-5237 , 2023
2023
Citations: 14

Nandakumar Venkatesan

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS