YRI students’ research.
In top journals.
Every paper here has a YRI student as first author. Their PhD mentor guides the research, and our publishing team handles the rest: editing, formatting and getting it into top journals and conferences.
METHI: An Ensemble-Based Machine-Learned Exoplanetary Habitability Index
Ruthwik D.Real-Time Control of a Low-Cost Robotic Arm Using EMG Signal Classification
Raeyaan M.Hybrid Catalytic Pyrolysis of Waste Tires Using Bimetal-Modified Zeolite and Industrial Waste-Derived Catalysts
Ishaan M.AI-Enabled Low-Cost Point-of-Care Screening for Multi-Organ Diagnosis in Rural Healthcare
Abhigna N.AI-Enhanced Fibre-Reinforced Composites for Aerospace Thermal Protection Systems
Arjun V.Feasibility-Guaranteed Post-Processing for GCN-Based Minimum Vertex Cover
Manomay J.Loss-Aware Modeling and Monte Carlo Validation of Fusion-Inspired Photonic Quantum Benchmarks
Raaghav G.Automated Filtering and Heatmap Matrix Transformation Engines for High-Throughput Sequence Data
Sidharth I.Comparative Evaluation of Emotion Extraction from Music: Balancing Model Accuracy and Hardware Constraints on Edge Devices
Gargi P.AI-Assisted Optimization of Four-Dimensional Quantum Key Distribution Using Machine Learning-Based OAM Alphabet Selection Under Simulated Atmospheric Turbulence
Taeho K.AlzAware-MSA-Net: Lightweight Dual-Path Morphology-Aware Multi-Scale Attention for Ordinal Alzheimer MRI Classification
Vaanya S.Leakage-Aware Text Classification for Auditing Incretin-Binge-Eating Evidence
Interpretable Machine Learning Framework for Predicting Maximum Adsorption Capacity of Metal-Organic Frameworks for Heavy Metal Removal from Aqueous Systems
Naitik G.A Simplified Two-Zone Diffusion Study of Whether Geminga and Monogem Can Contribute to the Cosmic-Ray Positron Excess
Explainable Anemia Severity Screening Tool Using CBC Features
Melissa N.Privacy-Preserving Federated Ensemble Learning for Fair and Calibrated Financial Risk Assessment
Akul N.Genomic Surveillance of 132 Immune Escape Mutations in Omicron Variants
Sai P.Skin Microbiome Signatures for Non-Invasive Detection of Autoimmune Disorders
Nidhi K.Traffic Detection and Prediction for Intelligent Transportation Systems
Aarav B.AI-Augmented Digital Twins for Personalized Patient Monitoring: A Novel Framework for Predictive and Adaptive Healthcare
Diya A.Uncertainty-Aware and Calibration-Guided Machine Learning for Predicting Cancer Immunotherapy Response
Akhilesh K.Astrobiology-Inspired Signal Processing and Machine Learning for EEG-Based Cognitive Impairment Recognition
Ayaan R.AI-Based Nail Disease Classification Using Image Characteristics and Deep Learning
Neil V.A Trust-Aware Framework for Reducing Data Exfiltration in LLM Agents Exposed to Indirect Prompt Injection
Rishik A.First-author paper on an adaptive digital twin for CNC machining
Multi-Scale Wavelet-Entropy Representation and Gradient-Boosted Learning for Atrial Fibrillation Detection from Photoplethysmography
Samiksha R.Sex-Stratified Machine Learning for Atherosclerotic Cardiovascular Disease Risk Prediction: Comparing Risk Factor Importance in Women and Men Using Open-Access Health Data
Sia R.Validation Placement in Static Multi-UAV Language Planning: A Paired Failure-Containment and Compute Study
Mohammed A.A Confidence-Weighted Soft-Voting Ensemble for Non-Invasive Endometriosis Risk Prediction Using Patient-Reported Symptoms and Clinical History
Harleen B.Cadence-Risk Analysis for Short-Duration Exoplanet Transits: A Reproducible TESS-Like Injection-and-Recovery Study
Interface-aware interpretation of missense variants in the five desmosomal genes (PKP2, DSP, DSG2, DSC2, JUP) in arrhythmogenic cardiomyopathy
Beyond Final Answers: Explicit Belief-State Tracking in Compact Instruction-Tuned Language Models
Svanika D.Eye-Tracking Signatures for Early Detection of Alzheimer's Disease
Suriya D.Accepted at two IEEE conferences: IEEE ICPCSN 2026 and IEEE ISASF 2026 in Sydney
Atharv V.Multi-Step Neural Anomaly Detection in Large-Scale Cloud Systems, Best Oral Presentation
Aditya S.Automated Hybrid In-Situ River Remediation
Sai T.Impact of Short-Duration Geopolitical Events on Indian Stock Market Returns
Karan A.SkyShield: Feasibility-Constrained Emergency Action Selection for Multirotor UAVs
Amaay G.AI-Assisted Prediction Models for ACL Injury Risk and Recovery Time Using Basketball Athlete Performance Data
Ben Z.Derivative Fidelity, Symbolic Discovery, and the Jitter Paradox in Physics-Informed Neural Networks
Nishanth A.Machine Learning-Based Uplift Modeling for Targeted Intervention Effect Analysis
Saanvi K.AI for Predicting Cancer Drug Response Using Multi-Omics Data
Arfa H.Integrative Transcriptomic, Genomic, and Machine Learning Analysis Identifies Candidate Genes for Rice Salinity Tolerance
Tarek O.Empirical Solution-Gap and Stability Analysis of Matrix-Preconditioned Optimizers for Physics-Informed Neural Networks
Akshara R.EEG Motor Imagery Signal Classification for Brain Computer Interfaces: A Comparative Analysis of Machine Learning and Deep Learning Models
Aditya A.Early Warning of CDM Risk Escalation: Leakage-Controlled Trajectory Learning Under Operational Review Budgets
Krishik S.AI-Driven Immunological Risk Predictor: Using Artificial Intelligence to Predict Immune Responses to Cardiovascular Implants
Khyati S.Comparative Investigation of Passive Linear, Symmetric Bistable, and Tunably Asymmetric Vibration Energy Harvesters Under Representative Real-World Excitations
Derivative-Synchrosqueezed Imaging of Photoplethysmography for Non-Invasive Blood Glucose Estimation
Devansh D.First-author Springer publication, presented in Merida, Mexico
Ashwajit W.MRI-Guided Personalized Helmet Liner Design Toward Head-Injury Prevention
Elliot W.Ruthwik D.·first author·IEEESkin Microbiome Signatures for Non-Invasive Detection of Autoimmune DisordersDetecting autoimmune disease from bacteria on the skinNidhi K.·first author·IEEEMulti-Step Neural Anomaly Detection in Large-Scale Cloud Systems, Best Oral PresentationCatching failures in huge cloud systems before they happenAditya S.·first author·IEEEReal-Time Control of a Low-Cost Robotic Arm Using EMG Signal ClassificationA low-cost robotic arm you control with your musclesRaeyaan M.·first author·IEEETraffic Detection and Prediction for Intelligent Transportation SystemsPredicting traffic accidents from a single camera imageAarav B.·first author·IEEEAutomated Hybrid In-Situ River RemediationAn automated system to clean polluted riversSai T.·first author·IEEEHybrid Catalytic Pyrolysis of Waste Tires Using Bimetal-Modified Zeolite and Industrial Waste-Derived CatalystsTurning waste tires into cleaner fuelIshaan M.·first author·IEEEAI-Augmented Digital Twins for Personalized Patient Monitoring: A Novel Framework for Predictive and Adaptive HealthcareAn AI digital twin that monitors patientsDiya A.·first author·IEEEImpact of Short-Duration Geopolitical Events on Indian Stock Market ReturnsHow sudden world events move India’s stock marketKaran A.·first author·ConferenceIntegrative Transcriptomic, Genomic, and Machine Learning Analysis Identifies Candidate Genes for Rice Salinity ToleranceFinding the genes that help rice survive salty soilTarek O.·first author·IEEEMachine Learning Approaches for Lung Cancer Biomarker DiscoveryUsing machine learning to find lung cancer biomarkers
Aarnav B.·first author·IEEEPrivacy-Preserving Federated Ensemble Learning for Fair and Calibrated Financial Risk AssessmentFair, private AI for judging financial riskAkul N.·first author·IEEEECG Microstate Instability & Neuroimmune Pathways in Major Depressive DisorderLinking heart signals to depression
Devansh G.·first author·IEEEEye-Tracking Signatures for Early Detection of Alzheimer's DiseaseSuriya D.·first author·IEEEReplay-Gated Cascade Consolidation: A Spiking-Network Account of Replay, Consolidation, and Serial Position EffectsA brain-inspired model of how we form memoriesAshwajit W.·first author·SpringerGenomic Surveillance of 132 Immune Escape Mutations in Omicron VariantsTracking how Omicron mutated to escape immunitySai P.·first author·IEEEAccepted at two IEEE conferences: IEEE ICPCSN 2026 and IEEE ISASF 2026 in SydneyAI that finds gene-editing targets for heart diseaseAtharv V.·first author·IEEEAI-Enabled Low-Cost Point-of-Care Screening for Multi-Organ Diagnosis in Rural HealthcareA low-cost AI screening tool for rural clinicsAbhigna N.·first author·IEEEUncertainty-Aware and Calibration-Guided Machine Learning for Predicting Cancer Immunotherapy ResponseTeaching AI to know when its cancer predictions might be wrongAkhilesh K.·first author·IEEESkyShield: Feasibility-Constrained Emergency Action Selection for Multirotor UAVsA drone that picks its own safe emergency landingAmaay G.·first author·IEEEAI-Enhanced Fibre-Reinforced Composites for Aerospace Thermal Protection SystemsAI-designed heat shields for spacecraftArjun V.·first author·IEEEAstrobiology-Inspired Signal Processing and Machine Learning for EEG-Based Cognitive Impairment RecognitionUsing astronomy techniques to spot Alzheimer’s in brain signalsAyaan R.·first author·IEEEAI-Assisted Prediction Models for ACL Injury Risk and Recovery Time Using Basketball Athlete Performance DataPredicting ACL injuries and recovery time in basketball playersBen Z.·first author·IEEEFeasibility-Guaranteed Post-Processing for GCN-Based Minimum Vertex CoverMaking AI reliable on a classic hard math problemManomay J.·first author·IEEEAI-Based Nail Disease Classification Using Image Characteristics and Deep LearningAI that spots nail diseases from a photoNeil V.·first author·IEEEDerivative Fidelity, Symbolic Discovery, and the Jitter Paradox in Physics-Informed Neural NetworksFinding a hidden flaw in physics-informed AINishanth A.·first author·IEEELoss-Aware Modeling and Monte Carlo Validation of Fusion-Inspired Photonic Quantum BenchmarksModeling what breaks light-based quantum computersRaaghav G.·first author·IEEEA Trust-Aware Framework for Reducing Data Exfiltration in LLM Agents Exposed to Indirect Prompt InjectionStopping AI assistants from leaking private dataRishik A.·first author·IEEEMachine Learning-Based Uplift Modeling for Targeted Intervention Effect AnalysisFinding which people a message actually persuadesSaanvi K.·first author·IEEEAutomated Filtering and Heatmap Matrix Transformation Engines for High-Throughput Sequence DataSoftware to study disease in sea stars from DNA dataSidharth I.·first author·IEEEAI for Predicting Cancer Drug Response Using Multi-Omics DataAI that predicts how cancers respond to drugsArfa H.·first author·IEEEGargi P.·first author·IEEESamiksha R.·first author·IEEETaeho K.·first author·IEEESia R.·first author·IEEEAkshara R.·first author·IEEEVaanya S.·first author·IEEEMohammed A.·first author·IEEEEEG Motor Imagery Signal Classification for Brain Computer Interfaces: A Comparative Analysis of Machine Learning and Deep Learning ModelsReading movement intentions straight from brain wavesAditya A.·first author·IEEEA Confidence-Weighted Soft-Voting Ensemble for Non-Invasive Endometriosis Risk Prediction Using Patient-Reported Symptoms and Clinical HistoryFlagging endometriosis risk without surgeryHarleen B.·first author·IEEEEarly Warning of CDM Risk Escalation: Leakage-Controlled Trajectory Learning Under Operational Review BudgetsPredicting satellite collision risk before it escalatesKrishik S.·first author·IEEEInterpretable Machine Learning Framework for Predicting Maximum Adsorption Capacity of Metal-Organic Frameworks for Heavy Metal Removal from Aqueous SystemsAI that picks materials to clean heavy metals from waterNaitik G.·first author·IEEEAI-Driven Immunological Risk Predictor: Using Artificial Intelligence to Predict Immune Responses to Cardiovascular ImplantsAI that predicts immune reactions to heart implantsKhyati S.·first author·IEEEExplainable Anemia Severity Screening Tool Using CBC FeaturesAn explainable tool that screens for anemia from a blood testMelissa N.·first author·IEEEBeyond Final Answers: Explicit Belief-State Tracking in Compact Instruction-Tuned Language ModelsTeaching small AI models to track what they believeSvanika D.·first author·IEEEDerivative-Synchrosqueezed Imaging of Photoplethysmography for Non-Invasive Blood Glucose EstimationEstimating blood sugar without a needleDevansh D.·first author·IEEEMRI-Guided Personalized Helmet Liner Design Toward Head-Injury PreventionCustom helmet liners designed from MRI scansElliot W.·first author·SpringerFirst-author paper on an adaptive digital twin for CNC machiningA digital twin that makes factory machining smarterAdit A.·first author·IEEELeakage-Aware Text Classification for Auditing Incretin-Binge-Eating EvidenceUsing AI to audit the research on GLP-1 drugs and binge eatingAthena R.·first author·IEEECadence-Risk Analysis for Short-Duration Exoplanet Transits: A Reproducible TESS-Like Injection-and-Recovery StudyHow well telescopes catch the shortest exoplanet transitsAna P.·first author·IEEEA Simplified Two-Zone Diffusion Study of Whether Geminga and Monogem Can Contribute to the Cosmic-Ray Positron ExcessCan two nearby pulsars explain a cosmic-ray mystery?Yuvan G.·first author·IEEEInterface-aware interpretation of missense variants in the five desmosomal genes (PKP2, DSP, DSG2, DSC2, JUP) in arrhythmogenic cardiomyopathyDecoding the gene variants behind a hidden heart diseaseAjwa A.·first author·IEEEComparative Investigation of Passive Linear, Symmetric Bistable, and Tunably Asymmetric Vibration Energy Harvesters Under Representative Real-World ExcitationsTurning everyday vibrations into electricityAriham J.·first author·IEEE
Sahasra K.·first author·IEEE
Mame-Diarra D.·first author·IEEE
Aaryan M.·first author·IEEE
Arka S.·first author·IEEE
Ishan S.·first author·IEEE
Mahi J.·first author·IEEE
Mythreyi G.·first author·IEEE
Priscilla W.·first author·IEEE
Rayaan A.·first author·IEEE
Melody Z.·first author·IEEE
Karthik T.·first author·IEEE
Krishna K.·first author·IEEE
Updated as results come in. PUBLISHED entries resolve in the publisher’s own index; ACCEPTED entries are scheduled for publication.
READ THE STUDENT STORIESThe research, in their own words
Every Fellow presents their work on camera at the end of the program. A few of the recent ones are below. Watch a fifteen-year-old walk through their own methodology: this is the part no brochure can fake.
Gargi PandeyMusic Emotion Recognition with Lightweight Neural Networks on Edge Devices
Trained a CNN, a pretrained MobileNetV3 and a Tiny Vision Transformer on mel spectrograms to predict the valence and arousal of songs, then benchmarked accuracy, latency and model size on a Raspberry Pi 5 to find the best model for resource-constrained devices.
Fatigue-Aware Reinforcement Learning for Personalized Curriculum Optimization
Built a reinforcement learning agent that adapts difficulty, pacing and breaks to simulated neurodivergent learner profiles by tracking cognitive fatigue, sensory overload and attention, reaching 86.6% adaptation accuracy against linear and heuristic baselines.
Mythreyi GovindarajanExplainable Machine Learning for Early Detection of Iron Deficiency in Adolescents
Trained explainable machine learning models on NHANES data from 896 non-anemic adolescents to flag iron deficiency before anemia develops without relying on iron biomarkers, and tested heart rate variability from ECG recordings as a future non-invasive screening signal.
Svanika Naidu DoddavarapuBeyond Final Answers: Belief-State Tracking in Compact Language Models
Built a benchmark of 81 stories with time-indexed belief tables to test whether compact instruction-tuned language models track what each character believes, finding 0% complete-story exact match and showing that a correct final answer does not prove a model reasoned about beliefs.
Sai Srikar PatnaikCNN Grading of Knee X-Rays Against Expert Disagreement
Trained a compact CNN from scratch on 1,650 knee radiographs to grade osteoarthritis across the five Kellgren-Lawrence grades, finding that the model's largest confusion boundary aligned with the only boundary where human expert readers disagreed.
Cancer-Aware Attention CNN for Acute Lymphoblastic Leukemia Subtype Classification
Built an attention-based convolutional neural network for classifying acute lymphoblastic leukemia subtypes from blood smear images, using cancer-aware attention to focus the model on diagnostically relevant cell features.
AI-Powered Multi-Omics for Climate-Resilient Crops
Integrated transcriptomic, genomic and machine learning methods to identify stress-tolerant genetic targets in crops, an AI-powered multi-omics approach to breeding for a changing climate.
Ashneeth MandaOTFS vs OFDM for UAV Integrated Sensing and Communication
Compared OTFS and OFDM waveforms for integrated sensing and communication in UAV systems, evaluating which modulation scheme delivers better simultaneous radar sensing and data transmission in high-mobility drone environments.
AI Framework for Predicting Functional Roles of Non-Coding DNA
Built a multi-omics deep neural network that classifies regulatory elements in the non-coding 98 percent of the human genome as promoters or enhancers, then used SHAP explainable AI to open the black box, prioritizing 1,088 computationally identified enhancer candidates.
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