Dr. Jereesh A S is currently an Assistant Professor in the Department of Computer Science at Cochin University of Science and Technology. He received Bachelor’s degree in Computer science and engineering from Rajiv Gandhi Institute of technology Kottayam in the year 2007 and received Master’s degree in Computer science and engineering (Information Security) from the National Institute of technology Calicut in the year 2010. He took PhD degree in the Department of Computer science and engineering at National Institute of Technology Calicut in the year 2015. He started his career as Assistant Professor in the Department of Computer Science of Adishankara Institute of Science and Technology Kalady in the year 2014. Later He joined the department of Computer Science, CUSAT, in October 2015.

Bioinformatics, Computational Biology , Data analytics , Machine learning , Optimization Techniques

Google Scholar

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https://scholar.google.com/citations?hl=en&user=Mx3Q_5cAAAAJ&view_op=list_works&sortby=pubdate

Reconstruction of gene regulatory networks using graph neural networks, Applied Soft Computing, Elsevier Vol. 163, 2024

An ensemble approach for circular RNA-disease association prediction using variational autoencoder and genetic algorithm, Journal of Bioinformatics and Computational Biology, World Scientific Publishing Vol. 22, 2024

Generative Pre-trained Transformer (GPT) based model with relative attention for de novo drug design, Computational Biology and Chemistry, Elsevier Vol. 106, 2023

Identification of gene-level methylation for disease prediction., Interdisciplinary Sciences: Computational Life Sciences, Springer Vol. 15, 2023

Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson’s disease using two-layer hybrid feature selection, Gene, Elsevier Vol. 823, 2022

A deep learning ensemble approach to prioritize antiviral drugs against novel corona virus SARS-CoV-2 for COVID-19 drug re-purposing, Applied Soft Computing, Elsevier Vol. 113, 2021

An Ensemble Approach Based on Multi-Source Information to Predict Drug-MiRNA Associations via Convolutional Neural Networks, IEEE Access, IEEE Vol. 9, 2021

An ensemble approach for CircRNA-disease association prediction based on autoencoder and deep neural network, Gene, Elsevier Vol. 762, 2020

Inferring Potential CircRNA–Disease Associations via Deep Autoencoder-Based Classification, Molecular Diagnosis & Therapy, Springer 2020

Drug repositioning based on the target microRNAs using bilateral-inductive matrix completion, Molecular Genetics and Genomics, Springer Vol. 295, 2020

A Stacked Ensemble Approach For Enhancing Anti Cancer Drug Synergy Prediction, Procedia Computer Science, Vol. 235 , 0, 2024

Identifying Personalised treatment plan for GBM using Multidimensional Patient Similarity Analytics, International Conference on intelligent COMPUting TEchnologies and Research (i-COMPUTER) 2023, 2023

LGCM: A Communication-Efficient Scheme for Federated Learning in Edge Devices, IEEE 19th India Council International Conference (INDICON), Kochi, 2022

An Ensemble Feature Selection Framework for the Early Non-invasive Prediction of Parkinson’s Disease from Imbalanced Microarray Data, Communications in Computer and Information Science book series, International Conference on Advances in Computing and Data Sciences, Vol. 1614 , 0, 2022

Blood-Based DNA Methylation Marker Identification for Parkinson’s Disease Prediction, International Conference on Innovative Computing and Communications, Advances in Intelligent Systems and Computing book series, Vol. 1388 , 0, 2021

Drug Repositioning Based on Heterogeneous Network Inference, Advances in Intelligent Systems and Computing, International Conference on Innovative Computing and Communications, Vol. 1165 , 0, 2020

Automatic nerve segmentation of ultrasound images, IEEE International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017

Associated subgraph mining in biological network, IEEE International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017

Gene regulatory network inference: A semi-supervised approach, IEEE International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017

Off-target possibility of efficient siRNA using String matching, IEEE International Conference on Circuit ,Power and Computing Technologies (ICCPCT), 2017

RESEARCH PROJECTS

""Establishment of Bioinformatics Centre(BIC) for Marine Bio-resource Conservation and Sustainable Utilization"" (Department of Biotechnology, INDIA- 2021 -2026 , Total outlay Rs.7499200)

"Metagenomics Exploration of the Deep Ocean Viruses: Taxonomic Assignment and Bioprospecting" (Ministry of Earth Sciences (MoES)- 2024 -2026 , Total outlay Rs.5421956)

PATENT

A NOVEL METHOD FOR Circ RNA BIOMARKER IDENTIFICATION BASED ON DEEP AUTOENCODER AND EXTREME GRADIENT BOOSTING - Granted,2021