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M.Tech Thesis Defense

2023 - 25 Batch

  • Title » Multipurpose Denoising Autoencoder based framework for understanding taxa specific states in the gut microbiome - Shruti Khare
  • Title » Prediction of Conformational B-cell Epitopes in Structure of Protein - Megha
  • Title » Prediction of Tumor Homing Peptides using Protein Language Models - Devansh Gupta
  • Title » Computational methods for cell-free DNA based diagnostics - Mariyam Siraj
  • Title » Inferring crucial pathways needed for differentiation of stem cells to required lineage - Haseena A
  • Title » Advancing Gene Signature Discovery with Generative Models: A Case Study Ovarian Cancer - Alok Anand
  • Title » PRole of Cofactors/Co-enzymes in Stabilizing Protein-Ligand Complexes -Harnoor Kaur Anand
  • Title » Deep Learning-Based Image-to-SMILES Conversion of 2D Chemical Structures - Alisha
  • Title » Microbial strain variations co-ovary with life-style, health and community-ecology - Ana Sharma
  • Title » Gene Regulatory Network Inference by Reducing Dimensions for Single-cell transcriptome profiles - Ankur Meshram
  • Title » Graph-Based Deep Learning for pIC₅₀ Estimation in Cancer Drug Screening - Rushikesh Sanjay Jadhav
  • Title » Deep Learning-Based Protein Thermal Stability Prediction - Umang Sharma
  • Title » Benchmarking Fold Recovery: Implicit-Solvent Atomistic & Coarse Grained Simulations of Two Vs Non Two State Proteins - Mimansha Das
  • Title » Estimating functions and effects of enhancers on cellular regulation - Samiksha Maurya
  • Title » Deciphering putatively transmembrane and secreted human gut microbial Prolyl endopeptidases: Therapeutic implications for Celiac Disease - Kavya Bai O P
  • Title » Mechanistic Insights into the Hepatoprotective Activity of Terminalia arjuna - Deepshika Tiwari
  • Title » Mechanistic Insights into Marigold Phytochemicals and Their Therapeutic Potential - Sarvani Gupta
  • Title » Comparing the Performance of Quantum Descriptors and Classical Descriptors based ML Models for Drug-like Property Prediction - Riya
  • Title » Global investigation of methanogen prevalence across gut microbiomes - Akanksha Singh
  • Title » Challenges In the Prediction of Half-life of lncRNAs - Shaik Shuhail
  • Title » A Comprehensive Compilation of Anticancer Peptides and Prediction of Anticancer Activity in Chemically Modified Peptides - Milind Chauhan
  • Title » Adaptive Biomedical Knowledge Graph Querying: Orchestrating Multi-Agent AI for Complex Data Retrieval - Rahul Kharakwal
  • Title » Machine Learning provides preliminary snapshots of disease-specific variations in gut microbial aging-trajectories - Seerapthynath T R
  • Title » AntiCP3: Prediction of Anticancer Proteins using Evolutionary Information from Protein Language Models - Amisha Gupta
  • Title » AI-Driven Constrained Mathematical Models of Biological Systems - Alka Singh
  • Title » Expansion of pre-existing Knowledge Graphs using LLMs - Kartikay Joshi
  • Title » Challenges in Understanding Cell-Cell Communication for Tumor Microenvironment using Spatial Transcriptomics - Gowtham K V
  • Title » Targeting Neutrophil Elastase in Alpha-1 Antitrypsin Deficiency: A GenAI-Based Approach for Peptide Inhibitor Discovery - Prateek Paul
  • Title » Prediction of Conformational B-cell Epitopes in Structure of Protein - Megha
  • Title » Prediction of Conformational B-cell Epitopes in Structure of Protein - Megha

2022 - 24 Batch

  • Title » A deep learning approach for predicting antimicrobial resistance across various bacterial species using whole genome sequence - Prateeksha Muddemmanavar
  • Title » Unveiling E. coli Adaptation Dynamics with protein language model and random walk - Nancy Jaiswal
  • Title » Introducing the Health-Associated Core Keystone (HACK) index: A universal ranking order of gut microbial taxa for selection of next generation probiotic and biotherapeutics - Abhishek Goel
  • Title » Development of the scoring function for protein-ligand binding affinity by implementing graph-theory based approaches - Shikha Singh
  • Title » Developing machine learning and deep learning models for predicting the thermal stability of proteins’’ - Surabhi Singh
  • Title » Machine Learning Based Design Of Multi-targeting Inhibitors for Alzheimer's Disease and Structure-Based Validation - Virendra kumar
  • Title » Developing Machine Learning And Deep Learning Models For Predicting The Folding Rates Of Proteins And Peptides - Reegina Tyagi
  • Title » Microbiome Surfaceome and Secretome Atlas: Building a dictionary of putative surface and secreted proteins on the human microbiome - Lavanya CB
  • Title » Machine learning and Tanimoto similarity based virtual screening of Chemical Libraries to Develop Novel PD Therapeutics - Divyanshi Singhal
  • Title » Deep learning-based Alzheimer’s disease diagnostics using medical images - Mohammad Seraj
  • Title » Machine Learning And Deep Learning Models for Prediction of Protein-ligand Binding Affinity - Parneet Kaur

2021 - 23 Batch

  • Title » Novel Framework for Predicting Multitarget Antifungal Drugs against Pathogenic Fungi - Karthika S
  • Title » Computational Design of Multi-targeting Lead-Compounds to Disrupt Quorum Sensing Pathway for Combating Drug-resistant Gram-negative Bacteria Superbugs - Dilip Kumar Yadav
  • Title » Identifying novel caloric restriction mimetics using generative AI - Jeet Nanshi
  • Title » Insights into the mechanisms of resistance to Axitinib in cancer cell lines - Khyati Patni
  • Title » Machine Learning-Assisted Chemo Multi-Omics Integration for Anti-Cancer Drug Response Prediction - K Maheswari
  • Title » Decoding the molecular basis of Iterative Stress Response (ISR) - Anmol Aggarwal
  • Title » Analysis of Gene Expression and Structural Variations in Common Genes Across Populations: Implications for Cardiovascular Disease and Reverse Cholesterol Pathway - Shivansh Verma
  • Title » Machine Learning And Deep Learning Models For Solvation Energy Prediction - Tejas
  • Title » Meta-analytic investigation of gut microbial community structure identifies a panel of stability-promoting microbiome members consistently reduced with gut inflammation - Amit Samal
  • Title » Structural, Kinetic, and dynamical analysis of receptor-activated proteolysis - Harika G L
  • Title » ThpPred: An ML-based tool for predicting therapeutic proteins/peptides - Srijanee Gupta
  • Title » Machine Learning aided Cancer drug response prediction using chemo-genomic data - Prashant Sharma
  • Title » Compilation and mining of peptide hormones and their receptors - Dashleen Kaur
  • Title » A Mobile Application for Dish Detection in Food Platters By Deploying an Object Detection Computational Protocol - Nitesh Narwade
  • Title » Validating and Benchmarking Deep Learning Model for Protein-Ligand Binding Affinity Prediction - Aparna C
  • Title » Deicphering Heterogeneous structure using Cryo-electron microscopic images - Chandan Saini
  • Title » Signatures and Utility of Epigenetic Memory at Enhancers - Rajat Tadulkar
  • Title » Identification of yeast strains for anit-cancer drug screening - Padmasini R
  • Title » Deciphering Genetic Bias Underlying in Global Population for Lipid Homeostasis - Himanshi Garg
  • Title » Development of in silico models for predicting Alzheimer’s disease from single cell genomics - Aman Srivastava
  • Title » Artificial Intelligence based models for Predicting Head and Neck Cancer from Genomics data of Single Cells - Akanksha Jarwal
  • Title » Assessment of Data-Driven and Deterministic Approaches for Predicting Bace-1 Inhibitor Binding Affinities - Amaithi Piriya S

2020 - 22 Batch

  • Title » Designing Circulating-tumor cells (CTCs) detection pipeline using co-measurement data of Single-Cell RNA and Targeted DNA Sequencing - Omkar Chandra
  • Title » Finding Unique Pattern in Transcriptome and Epigenome of Cancer Cells - Arpit Mathur
  • Title » Studying Priming and Poising of Cells - Ansari Ariba Abdul Majeed
  • Title » Meta-pathway based analysis of stemness - Saurav Kumar Choudhary
  • Title » Analysis of different RNA based liquid biopsy - Vikash Dabas
  • Title » Manual Curation of Virus Based Vaccines and Prediction of B-Cell Epitopes using Machine Learning Techniques. - Sadhana Tripathy
  • Title » “AI based prediction of HLA-DRB1*04:01 binder for designing subunit vaccines. - Sumeet Patiyal
  • Title » Database on bacterial vaccines and prediction of bacterial protective antigens. - Satakshi Gupta
  • Title » Protein-based in silico models to predict infectious strains of Influenza A - Trinita Roy
  • Title » Genome-based in silico models to predict infectious strains of Influenza A and Rotavirus A - Khushal Sharma
  • Title » Transfer learning and consensus clustering-based analysis of single-cell data - Dinesh Joshi
  • Title » A study of meta-learning and transfer learning approaches for clustering of single cell expression data. - Rishabh Munjal
  • Title » Blood based prediction of immune mediated disorders from bulk RNA-seq data. - Shivanshu Kukrety
  • Title » Insight for RNA-DNA interaction for regulation of activity of repeat elements and genes. - Neetesh Chauhan
  • Title » Brain correlates of cognitive-behavioural manifestations in Autism Spectrum Disorder. - Achyuthanand K.

2019 - 21 Batch

  • Title » Network Biology of Inflammatory Bowel Diseases - Tushar Dhyani
  • Title » Characterization of cell type boundaries using Spatial Transcriptomic studies. - Debashish Mohanta
  • Title » Elucidating the functional basis of Odorant Receptor genes pseudogenization in humans. - Radhika Arora
  • Title » RNA based lineage tracking in olfaction and aging. - Sidrah Maryam
  • Title » Modeling the dynamics of Telomere End Replication - Ghanendra Singh
  • Title » A Computational Framework to Study Levodopa Induced Dyskinesia Effect in Parkinson’s Disease. - Kajal Singla

2018 - 20 Batch

  • Title » Genomic Investigation of Major Depressive Disorder - Rohit Gupta
  • Title » PathoMap: Gene-Organ Relationships A Literature-based Investigation, Visualization & Analysis - Abhijit Raj
  • Title » Pathway-based Analysis for Cell Culture Conditions - Vaibhav Mittal
  • Title » PredictingTuberculosis Progression from RNA Seq Data using Machine learning. - Vikram Kumar
  • Title » Developing Gene Interaction Network from Public Literature and Genomic Data to Learn Gene Regulations.- Ayush Garg
  • Title » Deciphering the Role of lncRNA in Tuberculosis Progression - Jyotsana Mehra
  • Title » Tracking age-related changes in mRNA homeostasis at single cell resolution. - Princey Yadav
  • Title » Disease semantics - Neha Jha
  • Title » Across-study transfer learning strategy for improved analysis of single cell expression data. - Sanket Suhas Deshpande
  • Title » LeukemiaDB: A Database of Biomarker for Blood Cancer - Anjali Walia
  • Title » Compilation and Prediction of Prostate Cancer Biomarkers - Dikscha Sapra
  • Title » Manually curated database of biomarkers for thyroid cancer and stage classification. - Deepti Batra
  • Title » Assessment of drug efficacy in Indian population: A pharma-genomic study.- Neha Mishra
  • Title » CancerSmell: Molecular basis of chemosensation in cancer cells. - Siddhant Kalra
  • Title » Automated Discovery of Abstracts Reporting Gene-Disease Relationship. - Divya Sharma

2017 - 19 Batch

  • Title » An fMRI investigation of Autism Spectrum Disorder: Detection and Analysis. - Meghal Dani
  • Title » Stage classification of clear cell renal cancer based on gene expressions. - Akshita Sawhney
  • Title » Finding correct mouse model for human cells using single cell genomics - Abhishek Agarwal
  • Title » Prediction of sweetness using machine learning models - Aditi Sharma
  • Title » Cell free analysis in detection of diseases - Rohit Kumar Verma
  • Title » Predicting health phenotype of neonates in electronic NICU environment to identify early markers of disease physiology - Tanya Singh
  • Title » Predicting health phenotype of neonates in electronic NICU environment to identify early markers of disease physiology - Sunidhi Sharma
  • Title » Computational resources for predicting rare diseases associated mutations in lysosomal enzymes - Sana Akhter
  • Title » Personalised antibiotic prescription in urinary tract infection - Shivam Sharma

2016 - 18 Batch

  • Title » Tandem Mass Spectrometry workflow in El-MAVEN - Shubhra Agrawal
  • Title » Acquiring metabolic insights from embryonic stem cells scRNAseq data - Nikita Gupta
  • Title » Design Computational annotation of mutation-specificity of therapies from genome scale data-sets - Gauri Mittal
  • Title » An fMRI investigation of the effects of Yoga Nidra meditation on the brain using inter-subject correlations. - Vaibhav Tripathi
  • Title » Tracking Aging-Related Changes in Blood at Single Cell Resolution - Ayushi Gupta
  • Title » Revealing dynamic architecture of lipidated proteins - Arvind Krishnamurthy
  • Title » Graph Signal Processing based analysis of biological networks - Divyanshu Srivastava
  • Title » Application of pattern mining on data of flavor molecules, their percepts and molecular features - Biswadeep Khan
  • Title » Protein Classification on the basis of Thermal Stability using Supervised Learning - Ankit Sharma

2015 - 17 Batch

  • Title » A Systems Approach to Understand the ICU Co-morbidome - Dilraj Kaur
  • Title » A study of Biomedical Information Extraction systems: Designing a tool to extract symptoms from clinical text - Shrey Gupta
  • Title » Control of complex networks - Dicksha Chohan
  • Title » Population Genomics of Middle Eastern countries : A case study on Qatar population - Parul Sharma
  • Title » Kinetic Monte Carlo Based Study of Bcl-2 Family Members-Targeted Cancer Therapeutics - Mehak Sablok
  • Title » Gene expression analysis of the nutrients for type 2 diabetes - Keshav Bhojak
  • Title » Integration of Multi-Omics datasets in cancer - Sphoorti Sood
  • Title » FragSTR: An open source STR marker analysis tool - Prateek Singh
  • Title » Integrated Gene expression analysis of healthy controls across all data sets available of the genes implicated in Type 2 diabetes mellitus complications. - Richa Rashmi
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