| 1 | | 1 | Signal Processing Theory and Methods | | | TM | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 2 | | | | Digital signal processing | | TM-DSP | T-SP/SPL/OJ-SP | SPTM |
| 3 | | | | | Signal and system modeling | TM-DSP-SMOD | T-SP/SPL/OJ-SP | SPTM |
| 4 | | | | | Sampling theory | TM-DSP-SAMP | T-SP/SPL/OJ-SP | SPTM |
| 5 | | | | | Transforms | TM-DSP-TRSF | T-SP/SPL/OJ-SP | SPTM |
| 6 | | | | | Filtering | TM-DSP-FILT | T-SP/SPL/OJ-SP | SPTM |
| 7 | | | | | Multidimensional signal processing | TM-DSP-MDIM | T-SP/SPL/OJ-SP | SPTM |
| 8 | | | | | Multirate signal processing and filter banks | TM-DSP-MULT | T-SP/SPL/OJ-SP | SPTM |
| 9 | | | | | Time-frequency and multiresolution analysis | TM-DSP-TFSR | T-SP/SPL/OJ-SP | SPTM |
| 10 | | | | | Quantization | TM-DSP-QUAN | T-SP/SPL/OJ-SP | SPTM |
| 11 | | | | | Fast algorithms | TM-DSP-FAST | T-SP/SPL/OJ-SP | SPTM |
| 12 | | | | Statistical signal processing | | TM-SSP | T-SP/SPL/OJ-SP | SPTM |
| 13 | | | | | Statistical signal modeling, identification, and analysis | TM-SSP-ANLS | T-SP/SPL/OJ-SP | SPTM |
| 14 | | | | | Spectral analysis and filtering | TM-SSP-SPEC | T-SP/SPL/OJ-SP | SPTM |
| 15 | | | | | Estimation | TM-SSP-ESTI | T-SP/SPL/OJ-SP | SPTM |
| 16 | | | | | Detection and classification | TM-SSP-DETC | T-SP/SPL/OJ-SP | SPTM |
| 17 | | | | | Bayesian signal processing and learning | TM-SSP-BAYS | T-SP/SPL/OJ-SP | SPTM |
| 18 | | | | | Robust signal processing | TM-SSP-ROBU | T-SP/SPL/OJ-SP | SPTM |
| 19 | | | | | Learning methods with sparse and parsimonious representations | TM-SSP-SPRS | T-SP/SPL/OJ-SP | SPTM |
| 20 | | | | | Nonstationary statistical signal processing | TM-SSP-NSTA | T-SP/SPL/OJ-SP | SPTM |
| 21 | | | | | Random matrix methods | TM-SSP-RAND | T-SP/SPL/OJ-SP | SPTM |
| 22 | | | | | Performance analysis and bounds | TM-SSP-PERF | T-SP/SPL/OJ-SP | SPTM |
| 23 | | | | Matrix and tensor methods | | TM-MAT | T-SP/SPL/OJ-SP | SPTM |
| 24 | | | | | Dictionary Learning | TM-MAT-DICT | T-SP/SPL/OJ-SP | SPTM |
| 25 | | | | | Matrix and tensor factorization and completion | TM-MAT-FACT | T-SP/SPL/OJ-SP | SPTM |
| 26 | | | | | Sparse and non-negative matrices and tensors | TM-MAT-SPAR | T-SP/SPL/OJ-SP | SPTM |
| 27 | | | | | Source separation | TM-MAT-SSEP | T-SP/SPL/OJ-SP | SPTM |
| 28 | | | | | Independent component analysis | TM-MAT-ICA | T-SP/SPL/OJ-SP | SPTM |
| 29 | | | | | Subspace and manifold learning | TM-MAT-SUBS | T-SP/SPL/OJ-SP | SPTM |
| 30 | | | | | Tensor-based signal processing | TM-MAT-TENS | T-SP/SPL/OJ-SP | SPTM |
| 31 | | | | Adaptive signal processing | | TM-ASP | T-SP/SPL/OJ-SP | SPTM |
| 32 | | | | | Adaptive filter analysis and design | TM-ASP-FILT | T-SP/SPL/OJ-SP | SPTM |
| 33 | | | | | Frequency domain and subband adaptive filtering | TM-ASP-FREQ | T-SP/SPL/OJ-SP | SPTM |
| 34 | | | | | Fast algorithms | TM-ASP-FAST | T-SP/SPL/OJ-SP | SPTM |
| 35 | | | | | Tracking | TM-ASP-TRAC | T-SP/SPL/OJ-SP | SPTM |
| 36 | | | | Optimization for Signal Processing and Learning | | TM-OPT | T-SP/SPL/OJ-SP | SPTM |
| 37 | | | | | Optimization methods for foundation models | TM-OPT-FOUN | T-SP/SPL/OJ-SP | SPTM |
| 38 | | | | | Optimization methods for reinforcement learning | TM-OPT-RL | T-SP/SPL/OJ-SP | SPTM |
| 39 | | | | | Optimization methods under federation | TM-OPT-FED | T-SP/SPL/OJ-SP | SPTM |
| 40 | | | | | Bilevel and adversarial Optimization | TM-OPT-ADV | T-SP/SPL/OJ-SP | SPTM |
| 41 | | | | | AI and ML-assisted Optimization | TM-OPT-AIML | T-SP/SPL/OJ-SP | SPTM |
| 42 | | | | | Convex optimization | TM-OPT-CONV | T-SP/SPL/OJ-SP | SPTM |
| 43 | | | | | Non-convex optimization | TM-OPT-NCON | T-SP/SPL/OJ-SP | SPTM |
| 44 | | | | | Distributed optimization | TM-OPT-DIST | T-SP/SPL/OJ-SP | SPTM |
| 45 | | | | | Sparse optimization | TM-OPT-SPAR | T-SP/SPL/OJ-SP | SPTM |
| 46 | | | | Graph signal processing | | TM-GSP | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 47 | | | | | Graph signal modeling and analysis | TM-GSP-ANLS | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 48 | | | | | Graph modeling and topology identification | TM-GSP-IDEN | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 49 | | | | | Sampling theory for graphs | TM-GSP-SAMP | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 50 | | | | | Graph filtering and transforms | TM-GSP-FILT | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 51 | | | | | Stochastic graph signal processing | TM-GSP-STOC | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 52 | | | | | Graph-time processing | TM-GSP-TIME | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 53 | | | | | Topological signal processing | TM-GSP-TOPO | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 54 | | | | Distributed signal processing and learning: theory and methods | | TM-DIS | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 55 | | | | | Distributed learning | TM-DIS-LEAR | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 56 | | | | | Federated learning | TM-DIS-FED | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 57 | | | | | Distributed detection and classification | TM-DIS-DETC | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 58 | | | | | Distributed adaptation | TM-DIS-ADAP | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 59 | | | | | Distributed optimization | TM-DIS-OPT | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 60 | | | | Applications and other topics of signal processing theory and methods | | TM-APP | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 61 | | | | Learning Theory and Methods | | TM-LTM | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 62 | | | | | Generative Models | TM-LTM-GENM | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 63 | | | | | Causal Learning | TM-LTM-CAUS | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 64 | | | | | Inference and Probabilistic Methods | TM-LTM-INFR | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 65 | | | | | Non-convex optimization for AI/ML | TM-LTM-NCVX | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 66 | | | | | Stochastic optimization for AI/ML | TM-LTM-STOC | T-SP/T-SIPN/SPL/OJ-SP | SPTM |
| 67 | | 2 | Machine Learning for Signal Processing | | | ML | T-SP/T-SIPN/SPL/OJ-SP | MLSP |
| 68 | | | | Machine learning paradigms | | ML-LEA | T-SP/SPL/OJ-SP | MLSP |
| 69 | | | | | Supervised and semi-supervised learning | ML-LEA-SUPE | T-SP/SPL/OJ-SP | MLSP |
| 70 | | | | | Unsupervised learning | ML-LEA-UNSU | T-SP/SPL/OJ-SP | MLSP |
| 71 | | | | | Self-supervised learning | ML-LEA-SSUP | T-SP/SPL/OJ-SP | MLSP |
| 72 | | | | | Online learning | ML-LEA-ONLI | T-SP/SPL/OJ-SP | MLSP |
| 73 | | | | | Adversarial machine learning | ML-LEA-ADVR | T-SP/SPL/OJ-SP | MLSP |
| 74 | | | | | Causal learning | ML-LEA-CAUS | T-SP/SPL/OJ-SP | MLSP |
| 75 | | | | | Continual learning | ML-LEA-CONT | T-SP/SPL/OJ-SP | MLSP |
| 76 | | | | | Quantum machine learning | ML-LEA-QUAN | T-SP/SPL/OJ-SP | MLSP |
| 77 | | | | Reinforcement learning | | ML-REI | T-SP/SPL/OJ-SP | MLSP |
| 78 | | | | | Deep reinforcement learning | ML-REI-DEEP | T-SP/SPL/OJ-SP | MLSP |
| 79 | | | | | Policy optimization and policy gradient | ML-REI-POLI | T-SP/SPL/OJ-SP | MLSP |
| 80 | | | | | Q-learning | ML-REI-QLEA | T-SP/SPL/OJ-SP | MLSP |
| 81 | | | | | Inverse reinforcement learning | ML-REI-INVE | T-SP/SPL/OJ-SP | MLSP |
| 82 | | | | | Exploration and exploitation | ML-REI-EXPL | T-SP/SPL/OJ-SP | MLSP |
| 83 | | | | Deep learning | | ML-DLR | T-SP/SPL/OJ-SP | MLSP |
| 84 | | | | | Deep learning models | ML-DLR-MODL | T-SP/SPL/OJ-SP | MLSP |
| 85 | | | | | Deep learning training methods | ML-DLR-METH | T-SP/SPL/OJ-SP | MLSP |
| 86 | | | | | Deep generative models | ML-DLR-GENM | T-SP/SPL/OJ-SP | MLSP |
| 87 | | | | | Graph neural networks | ML-DLR-GNN | T-SP/SPL/OJ-SP | MLSP |
| 88 | | | | | Transfer learning and meta-learning | ML-DLR-TRAN | T-SP/SPL/OJ-SP | MLSP |
| 89 | | | | | Topological deep learning | ML-DLR-TOP | T-SP/SPL/OJ-SP | MLSP |
| 90 | | | | | Representation learning | ML-DLR-REPR | T-SP/SPL/OJ-SP | MLSP |
| 91 | | | | Large-Scale Machine Learning Models | | ML-LSM | T-SP/SPL/OJ-SP | MLSP |
| 92 | | | | | Large language models | ML-LSM-LLM | T-SP/SPL/OJ-SP | MLSP |
| 93 | | | | | Efficient large-scale model training | ML-LSM-TRAIN | T-SP/SPL/OJ-SP | MLSP |
| 94 | | | | | Adaptation and fine-tuning of large models | ML-LSM-ADAPT | T-SP/SPL/OJ-SP | MLSP |
| 95 | | | | | Multimodal large-scale models | ML-LSM-MULTI | T-SP/SPL/OJ-SP | MLSP |
| 96 | | | | Trustworthy and reliable machine learning | | ML-TRD | T-SP/SPL/OJ-SP | MLSP |
| 97 | | | | | Robust and trustworthy machine learning | ML-TRD-ROBU | T-SP/SPL/OJ-SP | MLSP |
| 98 | | | | | Explainable and interpretable machine learning | ML-TRD-EXPL | T-SP/SPL/OJ-SP | MLSP |
| 99 | | | | | Distributed and federated learning | ML-TRD-DIS | T-SIPN/SPL/OJ-SP | MLSP |
| 100 | | | | | Fairness and privacy | ML-TRD-PRIV | T-SP/SPL/OJ-SP | MLSP |
| 101 | | | | | Sustainable machine learning | ML-TRD-SUST | T-SP/SPL/OJ-SP | MLSP |
| 102 | | | | Conventional machine learning | | ML-CON | T-SP/SPL/OJ-SP | MLSP |
| 103 | | | | | Regression and classification | ML-CON-REGR | T-SP/SPL/OJ-SP | MLSP |
| 104 | | | | | Pattern recognition and clustering | ML-CON-PATT | T-SP/SPL/OJ-SP | MLSP |
| 105 | | | | | Performance analysis and bounds | ML-CON-PERF | T-SP/SPL/OJ-SP | MLSP |
| 106 | | | | | Graphical and kernel methods | ML-CON-KERN | T-SP/SPL/OJ-SP | MLSP |
| 107 | | | | | Dictionary learning | ML-CON-DICT | T-SP/SPL/OJ-SP | MLSP |
| 108 | | | | | Information theoretic learning | ML-CON-INFO | T-SP/SPL/OJ-SP | MLSP |
| 109 | | | | | Bayesian machine learning | ML-CON-BAYE | T-SP/SPL/OJ-SP | MLSP |
| 110 | | | | | Sequential learning | ML-CON-SEQU | T-SP/SPL/OJ-SP | MLSP |
| 111 | | | | | Sparsity-aware learning | ML-CON-SPAR | T-SP/SPL/OJ-SP | MLSP |
| 112 | | | | | Tiny and efficient machine learning | ML-CON-TINY | T-SP/SPL/OJ-SP | MLSP |
| 113 | | | | | Feature extraction and selection | ML-CON-FEAT | T-SP/SPL/OJ-SP | MLSP |
| 114 | | | | Applications and other topics of machine learning | | ML-APP | T-SP/SPL/OJ-SP | MLSP |
| 115 | | | | | Machine learning for time series analysis | ML-APP-TIME | T-SP/SPL/OJ-SP | MLSP |
| 116 | | | | | Machine learning for creative arts | ML-APP-ART | T-SP/SPL/OJ-SP | MLSP |
| 117 | | | | | Machine learning for education | ML-APP-EDU | T-SP | MLSP |
| 118 | | | | | Machine learning for sciences | ML-APP-SCI | T-SP/SPL/OJ-SP | MLSP |
| 119 | | | | | Emerging applications of machine learning | ML-APP-EMG | T-SP/SPL/OJ-SP | MLSP |
| 120 | | 3 | Signal Processing for Sensing and Communication | | | SC | T-SP/T-SIPN/SPL/OJ-SP | SPCOM/SAM |
| 121 | | | | Array signal processing | | SC-SAM | T-SP/SPL/OJ-SP | SAM |
| 122 | | | | | Beamforming and source separation | SC-SAM-BEAM | T-SP/SPL/OJ-SP | SAM |
| 123 | | | | | Direction of arrival estimation and source localization | SC-SAM-DOAE | T-SP/SPL/OJ-SP | SAM |
| 124 | | | | | Array calibration | SC-SAM-CALB | T-SP/SPL/OJ-SP | SAM |
| 125 | | | | | Tracking | SC-SAM-TRCK | T-SP/SPL/OJ-SP | SAM |
| 126 | | | | | Performance analysis and bounds | SC-SAM-PERF | T-SP/SPL/OJ-SP | SAM |
| 127 | | | | | MIMO and massive MIMO array processing | SC-SAM-MIMO | T-SP/SPL/OJ-SP | SAM |
| 128 | | | | | mmWave, UWB and THz array processing | SC-SAM-WAVE | T-SP/SPL/OJ-SP | SAM |
| 129 | | | | | Interference management | SC-SAM-INTF | T-SP/SPL/OJ-SP | SAM |
| 130 | | | | Signal processing for communication | | SC-COM | T-SP/SPL/OJ-SP | SPCOM |
| 131 | | | | | Signal modulation and encoding | SC-COM-MODU | T-SP/SPL/OJ-SP | SPCOM |
| 132 | | | | | Signal detection, estimation, demodulation and decoding | SC-COM-DETC | T-SP/SPL/OJ-SP | SPCOM |
| 133 | | | | | Channel modeling and estimation | SC-COM-CHAN | T-SP/SPL/OJ-SP | SPCOM |
| 134 | | | | | Machine learning for communications | SC-COM-ML | T-SP/SPL/OJ-SP | SPCOM |
| 135 | | | | | Information theory | SC-COM-INFO | T-SP/SPL/OJ-SP | SPCOM |
| 136 | | | | | Physical layer security | SC-COM-PHYS | T-SP/SPL/OJ-SP | SPCOM |
| 137 | | | | | MIMO and massive MIMO communication | SC-COM-MIMO | T-SP/SPL/OJ-SP | SPCOM |
| 138 | | | | | mmWave, UWB and THz communication | SC-COM-WAVE | T-SP/SPL/OJ-SP | SPCOM |
| 139 | | | | | Interference management in communications / networked systems | SC-COM-INFTF | T-SP/SPL/OJ-SP | SPCOM |
| 140 | | | | | Low latency communication | SC-COM-LATE | T-SP/SPL/OJ-SP | SPCOM |
| 141 | | | | | Energy aware communication | SC-COM-ENGY | T-SP/SPL/OJ-SP | SPCOM |
| 142 | | | | Signal processing for networks and distributed systems | | SC-NET | T-SIPN/SPL/OJ-SP | SPCOM |
| 143 | | | | | Network modeling and identification | SC-NET-MODL | T-SIPN/SPL/OJ-SP | SPCOM |
| 144 | | | | | Network resource management | SC-NET-RESC | T-SIPN/SPL/OJ-SP | SPCOM |
| 145 | | | | | Network design | SC-NET-DESG | T-SIPN/SPL/OJ-SP | SPCOM |
| 146 | | | | | Network security | SC-NET-SECR | T-SIPN/SPL/OJ-SP | SPCOM |
| 147 | | | | | Decision making over networks | SC-NET-DESC | T-SIPN/SPL/OJ-SP | SPCOM |
| 148 | | | | | Edge, sensor and ad-hoc networks | SC-NET-ADHC | T-SIPN/SPL/OJ-SP | SPCOM |
| 149 | | | | | Cooperative networking / cognitive radio | SC-NET-COOP | T-SIPN/SPL/OJ-SP | SPCOM |
| 150 | | | | | Internet of things | SC-NET-IOT | T-SIPN/SPL/OJ-SP | SPCOM |
| 151 | | | | Distributed processing | | SC-DIS | T-SIPN/SPL/OJ-SP | SPCOM |
| 152 | | | | | Modeling and analysis of distributed systems | SC-DIS-ANLS | T-SIPN/SPL/OJ-SP | SPCOM |
| 153 | | | | | Distributed detection and estimation | SC-DIS-ESTI | T-SIPN/SPL/OJ-SP | SPCOM |
| 154 | | | | | Distributed information processing | SC-DIS-INFO | T-SIPN/SPL/OJ-SP | SPCOM |
| 155 | | | | | Distributed localization and target tracking | SC-DIS-LOCL | T-SIPN/SPL/OJ-SP | SPCOM |
| 156 | | | | | Machine learning over distributed networks | SC-DIS-ML | T-SIPN/SPL/OJ-SP | SPCOM |
| 157 | | | | Integrated sensing and communication | | SC-ISC | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 158 | | | | | Theory and performance limits for ISAC | SC-ISC-PERF | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 159 | | | | | Signalling and waveform design for ISAC | SC-ISC-MODU | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 160 | | | | | Detection, estimation and demodulation for ISAC | SC-ISC-ESTI | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 161 | | | | | MIMO and distributed MIMO architectures for ISAC | SC-ISC-MIMO | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 162 | | | | | Security and privacy issues in ISAC | SC-ISC-PRIV | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 163 | | | | | Hardware-/energy-efficient technologies, and experimentation of ISAC systems | SC-ISC-HRDW | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 164 | | | | Remote sensing, radar and sonar signal processing | | SC-RAS | T-SP/SPL/OJ-SP | SAM |
| 165 | | | | | Space-time adaptive methods | SC-RAS-STAP | T-SP/SPL/OJ-SP | SAM |
| 166 | | | | | Synthetic aperture sensing | SC-RAS-SYNT | T-SP/SPL/OJ-SP | SAM |
| 167 | | | | | MIMO radar and waveform design | SC-RAS-MIMO | T-SP/SPL/OJ-SP | SAM |
| 168 | | | | | Distributed processing | SC-RAS-DIST | T-SP/SPL/OJ-SP | SAM |
| 169 | | | | | Cognitive radar | SC-RAS-COGN | T-SP/SPL/OJ-SP | SAM |
| 170 | | | | | Passive radar | SC-RAS-PASV | T-SP/SPL/OJ-SP | SAM |
| 171 | | | | | System resource management | SC-RAS-RESC | T-SP/SPL/OJ-SP | SAM |
| 172 | | | | | Sonar and underwater signal processing | SC-RAS-SONR | T-SP/SPL/OJ-SP | SAM |
| 173 | | | | Applications and other topics in signal processing for sensing and communication | | SC-APP | T-SP/SPL/OJ-SP | TC-SPCOM/TC-SAM |
| 174 | | | | | Sensor arrays for medical signal and image processing | SC-APP-MEDI | T-SP/SPL/OJ-SP | SAM |
| 175 | | | | | Acoustic and microphone array processing | SC-APP-MICR | T-SP/SPL/OJ-SP | SAM |
| 176 | | | | | Geophysical and seismic signal processing | SC-APP-GEOS | T-SP/SPL/OJ-SP | SAM |
| 177 | | | | | Non-wave based array processing | SC-APP-NWAV | T-SP/SPL/OJ-SP | SAM |
| 178 | | | | | Non-terrestrial communications | SC-APP-NTER | T-SP/SPL/OJ-SP | SPCOM |
| 179 | | | | | Optical wireless communication | SC-APP-OPTI | T-SP/SPL/OJ-SP | SPCOM |
| 180 | | | | | Quantum communication | SC-APP-QUAN | T-SP/SPL/OJ-SP | SPCOM |
| 181 | | | | | Intelligent surfaces | SC-APP-SURF | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 182 | | | | | Other topics in signal processing for sensing and communication | SC-APP-OTHR | T-SP/SPL/OJ-SP | SPCOM/SAM |
| 183 | | 4 | Biomedical Signal and Image Processing | | | BI | T-SP/T-IP/SPL/OJ-SP | BISP |
| 184 | | | | Medical imaging | | BI-MED | T-IP/SPL/OJ-SP | BISP |
| 185 | | | | | Medical image formation, reconstruction and restoration | BI-MED-FORM | T-IP/SPL/OJ-SP | BISP |
| 186 | | | | | Medical image analysis | BI-MED-ANLS | T-IP/SPL/OJ-SP | BISP |
| 187 | | | | | Multimodal medical image fusion and analysis | BI-MED-FUSE | T-IP/SPL/OJ-SP | BISP |
| 188 | | | | Biological imaging | | BI-BIO | T-IP/SPL/OJ-SP | BISP |
| 189 | | | | | Biological image formation, reconstruction and restoration | BI-BIO-FORM | T-IP/SPL/OJ-SP | BISP |
| 190 | | | | | Biological image analysis | BI-BIO-ANLS | T-IP/SPL/OJ-SP | BISP |
| 191 | | | | Biomedical signal processing | | BI-BSP | T-IP/SPL/OJ-SP | BISP |
| 192 | | | | | Physiological and wearable signal processing | BI-BSP-PHYS | T-IP/SPL/OJ-SP | BISP |
| 193 | | | | | Neural signals | BI-BSP-NEUR | T-IP/SPL/OJ-SP | BISP |
| 194 | | | | Brain/human-computer interfaces | | BI-BCI | T-IP/SPL/OJ-SP | BISP |
| 195 | | | | Bioinformatics | | BI-INF | T-IP/SPL/OJ-SP | BISP |
| 196 | | | | Applications and emerging methods in biomedical image and signal processing | | BI-APP | T-IP/SPL/OJ-SP | BISP |
| 197 | | 5 | Image, Video and Multidimensional Signal Processing | | | IV | T-IP/SPL/OJ-SP | IVMSP |
| 198 | | | | Image and video sensing, modeling, and representation | | IV-SMR | T-IP/SPL/OJ-SP | IVMSP |
| 199 | | | | | Image and video sensing and acquisition | IV-SMR-ACQN | T-IP/SPL/OJ-SP | IVMSP |
| 200 | | | | | Statistical-model based methods for image and video | IV-SMR-STAT | T-IP/SPL/OJ-SP | IVMSP |
| 201 | | | | | Structural-model based methods for image and video | IV-SMR-STRC | T-IP/SPL/OJ-SP | IVMSP |
| 202 | | | | | Image and video representation | IV-SMR-REPR | T-IP/SPL/OJ-SP | IVMSP |
| 203 | | | | | Perception and quality models for images and video | IV-SMR-PERC | T-IP/SPL/OJ-SP | IVMSP |
| 204 | | | | | Machine learning for image and video sensing, modeling and representation | IV-SMR-ML | T-IP/SPL/OJ-SP | IVMSP |
| 205 | | | | Image and video processing techniques | | IV-TEC | T-IP/SPL/OJ-SP | IVMSP |
| 206 | | | | | Linear and nonlinear filtering of images and video | IV-TEC-FILT | T-IP/SPL/OJ-SP | IVMSP |
| 207 | | | | | Partial differential equation based processing of images and video | IV-TEC-PDE | T-IP/SPL/OJ-SP | IVMSP |
| 208 | | | | | Multiresolution processing of images and video | IV-TEC-MULT | T-IP/SPL/OJ-SP | IVMSP |
| 209 | | | | | Restoration and enhancement of images and video | IV-TEC-REST | T-IP/SPL/OJ-SP | IVMSP |
| 210 | | | | | Interpolation, super-resolution, and mosaicing of images and video | IV-TEC-INTP | T-IP/SPL/OJ-SP | IVMSP |
| 211 | | | | | Biomedical and biological image processing | IV-TEC-BIOM | T-IP/SPL/OJ-SP | IVMSP |
| 212 | | | | | Machine learning for image and video processing | IV-TEC-ML | T-IP/SPL/OJ-SP | IVMSP |
| 213 | | | | Image and video communications | | IV-COM | T-IP/SPL/OJ-SP | IVMSP |
| 214 | | | | | Image and video coding | IV-COM-CODE | T-IP/SPL/OJ-SP | IVMSP |
| 215 | | | | | Imaging and video communication networks | IV-COM-NETW | T-IP/SPL/OJ-SP | IVMSP |
| 216 | | | | | Image and video processing for watermarking and security | IV-COM-SECU | T-IP/SPL/OJ-SP | IVMSP |
| 217 | | | | | Image and video multimedia communications | IV-COM-MCOM | T-IP/SPL/OJ-SP | IVMSP |
| 218 | | | | | Machine learning for image and video communication | IV-COM-ML | T-IP/SPL/OJ-SP | IVMSP |
| 219 | | | | Image and video analysis, synthesis, and retrieval | | IV-ANA | T-IP/SPL/OJ-SP | IVMSP |
| 220 | | | | | Image and video content analysis | IV-ANA-CONT | T-IP/SPL/OJ-SP | IVMSP |
| 221 | | | | | Image and video mid level analysis | IV-ANA-ANLS | T-IP/SPL/OJ-SP | IVMSP |
| 222 | | | | | Image and video interpretation and understanding | IV-ANA-INTR | T-IP/SPL/OJ-SP | IVMSP |
| 223 | | | | | Image and video biometric analysis | IV-ANA-BIMA | T-IP/SPL/OJ-SP | IVMSP |
| 224 | | | | | Image and video storage and retrieval | IV-ANA-STOR | T-IP/SPL/OJ-SP | IVMSP |
| 225 | | | | | Image and video synthesis, rendering, and visualization | IV-ANA-SYNT | T-IP/SPL/OJ-SP | IVMSP |
| 226 | | | | | Region, boundary, texture and shape analysis | IV-ANA-SHAP | T-IP/SPL/OJ-SP | IVMSP |
| 227 | | | | | Machine learning for image and video analysis, synthesis, and retrieval | IV-ANA-ML | T-IP/SPL/OJ-SP | IVMSP |
| 228 | | | | Three-dimensional image and video analysis and processing | | IV-3D | T-IP/SPL/OJ-SP | IVMSP |
| 229 | | | | | Light-field image processing and compression | IV-3D-LIGH | T-IP/SPL/OJ-SP | IVMSP |
| 230 | | | | | 3D image and video analysis and compression | IV-3D-ANLS | T-IP/SPL/OJ-SP | IVMSP |
| 231 | | | | | 3D video processing | IV-3D-PROC | T-IP/SPL/OJ-SP | IVMSP |
| 232 | | | | | Stereoscopic and multiview processing, display and coding | IV-3D-STER | T-IP/SPL/OJ-SP | IVMSP |
| 233 | | | | | Point cloud processing | IV-3D-POIN | T-IP/SPL/OJ-SP | IVMSP |
| 234 | | | | | Image and video augmented and virtual reality | IV-3D-ARVR | T-IP/SPL/OJ-SP | IVMSP |
| 235 | | | | | Machine learning for 3D image and video processing | IV-3D-ML | T-IP/SPL/OJ-SP | IVMSP |
| 236 | | | | Electronic imaging | | IV-ELI | T-IP/SPL/OJ-SP | IVMSP |
| 237 | | | | | Image scanning and capture | IV-ELI-SCAN | T-IP/SPL/OJ-SP | IVMSP |
| 238 | | | | | Color and multispectral imaging | IV-ELI-COLR | T-IP/SPL/OJ-SP | IVMSP |
| 239 | | | | | Scanned document analysis, processing, and coding | IV-ELI-ANLS | T-IP/SPL/OJ-SP | IVMSP |
| 240 | | | | | Hardware and software systems for image and video processing | IV-ELI-HRDW | T-IP/SPL/OJ-SP | IVMSP |
| 241 | | | | | Machine learning for electronic imaging | IV-ELI-ML | T-IP/SPL/OJ-SP | IVMSP |
| 242 | | | | Applications and other topics in image, video and multidimensional signal processing | | IV-APP | T-IP/SPL/OJ-SP | IVMSP |
| 243 | | | | | Remote sensing images | IV-APP-RMOT | T-IP/SPL/OJ-SP | IVMSP |
| 244 | | 6 | Computational Imaging | | | CI | T-CI/SPL/OJ-SP | CI |
| 245 | | | | Computational imaging methods and models | | CI-TEC | T-CI/SPL/OJ-SP | CI |
| 246 | | | | | Sparse, low-rank, and low-dimensional models for computational imaging | CI-TEC-SPAR | T-CI/SPL/OJ-SP | CI |
| 247 | | | | | Statistical and graphical image models | CI-TEC-STAT | T-CI/SPL/OJ-SP | CI |
| 248 | | | | | Machine learning-based methods for computational imaging | CI-TEC-ML | T-CI/SPL/OJ-SP | CI |
| 249 | | | | | Optimization-based inversion methods | CI-TEC-OPTI | T-CI/SPL/OJ-SP | CI |
| 250 | | | | | Multi-image methods and sensor fusion | CI-TEC-FUSE | T-CI/SPL/OJ-SP | CI |
| 251 | | | | | Superresolution and inpainting methods for inverse problems | CI-TEC-INVR | T-CI/SPL/OJ-SP | CI |
| 252 | | | | | Performance assessment and uncertainty quantification for computational imaging | CI-TEC-PERF | T-CI/SPL/OJ-SP | CI |
| 253 | | | | | Novel regularization methods | CI-TEC-REGU | T-CI/SPL/OJ-SP | CI |
| 254 | | | | | Other computational imaging methods and models | CI-TEC-OTHR | T-CI/SPL/OJ-SP | CI |
| 255 | | | | Computational imaging modalities | | CI-MOD | T-CI/SPL/OJ-SP | CI |
| 256 | | | | | Computational photography | CI-MOD-COMP | T-CI/SPL/OJ-SP | CI |
| 257 | | | | | Microscopic and nanoscopic imaging | CI-MOD-NANO | T-CI/SPL/OJ-SP | CI |
| 258 | | | | | Spectral imaging | CI-MOD-SPEC | T-CI/SPL/OJ-SP | CI |
| 259 | | | | | Tomographic imaging | CI-MOD-TOMO | T-CI/SPL/OJ-SP | CI |
| 260 | | | | | Magnetic resonance imaging | CI-MOD-MRI | T-CI/SPL/OJ-SP | CI |
| 261 | | | | | Acoustic and ultrasound imaging | CI-MOD-ACUS | T-CI/SPL/OJ-SP | CI |
| 262 | | | | | Radar/microwave and radio imaging | CI-MOD-RADI | T-CI/SPL/OJ-SP | CI |
| 263 | | | | | Lidar imaging | CI-MOD-LIDA | T-CI/SPL/OJ-SP | CI |
| 264 | | | | | Seismic imaging | CI-MOD-SEIS | T-CI/SPL/OJ-SP | CI |
| 265 | | | | | Coherent, holographic, and speckle imaging | CI-MOD-HOLO | T-CI/SPL/OJ-SP | CI |
| 266 | | | | | Other/novel computational imaging modalities | CI-MOD-OTHR | T-CI/SPL/OJ-SP | CI |
| 267 | | | | Computational imaging hardware and algorithms | | CI-HWR | T-CI/SPL/OJ-SP | CI |
| 268 | | | | | High-performance computing for computational imaging | CI-HWR-HIPC | T-CI/SPL/OJ-SP | CI |
| 269 | | | | | Fast algorithms for computational imaging | CI-HWR-FAST | T-CI/SPL/OJ-SP | CI |
| 270 | | | | | Integrated hardware and algorithm design | CI-HWR-ALGS | T-CI/SPL/OJ-SP | CI |
| 271 | | | | | Computational imaging with novel sensors and acquisition methods | CI-HWR-ACQN | T-CI/SPL/OJ-SP | CI |
| 272 | | | | Applications and other topics in computational imaging | | CI-APP | T-CI/SPL/OJ-SP | CI |
| 273 | | 7 | Multimedia Signal Processing | | | MM | T-MM/SPL/OJ-SP | MMSP |
| 274 | | | | Multimedia creation and synthesis | | MM-SYN | T-MM/SPL/OJ-SP | MMSP |
| 275 | | | | | Multimedia acquisition and sensor technology | MM-SYN-ACQN | T-MM/SPL/OJ-SP | MMSP |
| 276 | | | | | Multimedia synthesis and rendering | MM-SYN-REND | T-MM/SPL/OJ-SP | MMSP |
| 277 | | | | | Human centric multimedia synthesis and generation | MM-SYN-HUMN | T-MM/SPL/OJ-SP | MMSP |
| 278 | | | | | Object centric multimedia synthesis and generation | MM-SYN-OBJC | T-MM/SPL/OJ-SP | MMSP |
| 279 | | | | Multimedia architecture design and systems | | MM-SYS | T-MM/SPL/OJ-SP | MMSP |
| 280 | | | | | Display technology for multimedia | MM-SYS-DISP | T-MM/SPL/OJ-SP | MMSP |
| 281 | | | | | Large-scale multimedia systems and benchmarking | MM-SYS-LARG | T-MM/SPL/OJ-SP | MMSP |
| 282 | | | | | Mobile media technology and systems | MM-SYS-MOBI | T-MM/SPL/OJ-SP | MMSP |
| 283 | | | | | System design and optimization | MM-SYS-OPTI | T-MM/SPL/OJ-SP | MMSP |
| 284 | | | | | Architectures and design techniques | MM-SYS-ARCH | T-MM/SPL/OJ-SP | MMSP |
| 285 | | | | | Frugal and green multimedia | MM-SYS-ENGY | T-MM/SPL/OJ-SP | MMSP |
| 286 | | | | Multi-modal processing, analysis and synthesis | | MM-MOD | T-MM/SPL/OJ-SP | MMSP |
| 287 | | | | | Multi-modal signal processing and analysis | MM-MOD-ANLS | T-MM/SPL/OJ-SP | MMSP |
| 288 | | | | | Machine/deep learning methodologies for multimedia | MM-MOD-ML | T-MM/SPL/OJ-SP | MMSP |
| 289 | | | | | Generative/large multi-modal models | MM-MOD-GENM | T-MM/SPL/OJ-SP | MMSP |
| 290 | | | | | Distributed multimedia processing and Internet-of-Things | MM-MOD-DIST | T-MM/SPL/OJ-SP | MMSP |
| 291 | | | | | Multimedia understanding | MM-MOD-UNDE | T-MM/SPL/OJ-SP | MMSP |
| 292 | | | | Multimedia compression, transmission and security | | MM-COM | T-MM/SPL/OJ-SP | MMSP |
| 293 | | | | | Multimedia compression, coding, conversion, and transcoding | MM-COM-CODE | T-MM/SPL/OJ-SP | MMSP |
| 294 | | | | | Multimedia communications and streaming | MM-COM-COMM | T-MM/SPL/OJ-SP | MMSP |
| 295 | | | | | Learning-based multimedia compression | MM-COM-ML | T-MM/SPL/OJ-SP | MMSP |
| 296 | | | | | Multimedia over networks | MM-COM-NETW | T-MM/SPL/OJ-SP | MMSP |
| 297 | | | | | Multimedia security and watermarking | MM-COM-SECU | T-MM/SPL/OJ-SP | MMSP |
| 298 | | | | | Video surveillance and semantic analysis | MM-COM-SURV | T-MM/SPL/OJ-SP | MMSP |
| 299 | | | | Multimedia standardization | | MM-STD | T-MM/SPL/OJ-SP | MMSP |
| 300 | | | | | Media and data compression standardization | MM-STD-CODE | T-MM/SPL/OJ-SP | MMSP |
| 301 | | | | | Media transmission and communication standardization | MM-STD-COMM | T-MM/SPL/OJ-SP | MMSP |
| 302 | | | | | Media description and representation standardization | MM-STD-REPR | T-MM/SPL/OJ-SP | MMSP |
| 303 | | | | | Media display standards | MM-STD-DISP | T-MM/SPL/OJ-SP | MMSP |
| 304 | | | | | Metaverse media processing standardization | MM-STD-META | T-MM/SPL/OJ-SP | MMSP |
| 305 | | | | Multimedia environments and user experience | | MM-USR | T-MM/SPL/OJ-SP | MMSP |
| 306 | | | | | Human-centric multimedia and human-machine interaction | MM-USR-MHMI | T-MM/SPL/OJ-SP | MMSP |
| 307 | | | | | Immersive and 3D multimedia processing and coding | MM-USR-IMRS | T-MM/SPL/OJ-SP | MMSP |
| 308 | | | | | Quality of experience | MM-USR-QUAL | T-MM/SPL/OJ-SP | MMSP |
| 309 | | | | | Audio-visual-haptic environments | MM-USR-HAPT | T-MM/SPL/OJ-SP | MMSP |
| 310 | | | | | Multimodal telepresence and collaboration | MM-USR-TELE | T-MM/SPL/OJ-SP | MMSP |
| 311 | | | | Multimedia information retrieval and datasets | | MM-DAT | T-MM/SPL/OJ-SP | MMSP |
| 312 | | | | | Multimedia search and retrieval | MM-DAT-SEAR | T-MM/SPL/OJ-SP | MMSP |
| 313 | | | | | Multimedia datasets | MM-DAT-SETS | T-MM/SPL/OJ-SP | MMSP |
| 314 | | | | | Knowledge and semantics modeling for multimedia databases | MM-DAT-KNOW | T-MM/SPL/OJ-SP | MMSP |
| 315 | | | | | Media preservation | MM-DAT-PRSV | T-MM/SPL/OJ-SP | MMSP |
| 316 | | | | | Validation, quality assessment and corpora for media search | MM-DAT-QUAL | T-MM/SPL/OJ-SP | MMSP |
| 317 | | | | | Social and web multimedia | MM-DAT-SOCL | T-MM/SPL/OJ-SP | MMSP |
| 318 | | | | Applications in multimedia (healthcare, education, art, distributed multimedia, etc.) | | MM-APP | T-MM/SPL/OJ-SP | MMSP |
| 319 | | | | | Multimedia in healthcare, education, art, and social sciences | MM-APP-SOCS | T-MM/SPL/OJ-SP | MMSP |
| 320 | | | | | Multimedia perception and processing for autonomous systems | MM-APP-AUTO | T-MM/SPL/OJ-SP | MMSP |
| 321 | | | | | Other multimedia areas | MM-APP-OTHR | T-MM/SPL/OJ-SP | MMSP |
| 322 | | 8 | Information Forensics and Security | | | IF | T-IFS/SPL/OJ-SP | IFS |
| 323 | | | | Applied cryptography | | IF-CRY | T-IFS/SPL/OJ-SP | IFS |
| 324 | | | | | Secure computation using homomorphic encryption | IF-CRY-HOMO | T-IFS/SPL/OJ-SP | IFS |
| 325 | | | | | Secure computation using secret sharing | IF-CRY-SHAR | T-IFS/SPL/OJ-SP | IFS |
| 326 | | | | | Multimedia encryption | IF-CRY-MM | T-IFS/SPL/OJ-SP | IFS |
| 327 | | | | | Searchable encryption | IF-CRY-SEAR | T-IFS/SPL/OJ-SP | IFS |
| 328 | | | | Watermarking and data hiding | | IF-WAT | T-IFS/SPL/OJ-SP | IFS |
| 329 | | | | | Theoretical models | IF-WAT-MODL | T-IFS/SPL/OJ-SP | IFS |
| 330 | | | | | Steganography and steganalysis | IF-WAT-STEG | T-IFS/SPL/OJ-SP | IFS |
| 331 | | | | Anonymization and data privacy | | IF-PRV | T-IFS/SPL/OJ-SP | IFS |
| 332 | | | | | Privacy protection | IF-PRV-PROT | T-IFS/SPL/OJ-SP | IFS |
| 333 | | | | | Privacy attacks | IF-PRV-ATTC | T-IFS/SPL/OJ-SP | IFS |
| 334 | | | | | Application and systems | IF-PRV-APPL | T-IFS/SPL/OJ-SP | IFS |
| 335 | | | | | Differential privacy | IF-PRV-DIFF | T-IFS/SPL/OJ-SP | IFS |
| 336 | | | | Multimedia forensics | | IF-FOR | T-IFS/SPL/OJ-SP | IFS |
| 337 | | | | | Text fingerprinting | IF-FOR-TEXT | T-IFS/SPL/OJ-SP | IFS |
| 338 | | | | | Audio forensics | IF-FOR-AUD | T-IFS/SPL/OJ-SP | IFS |
| 339 | | | | | Image forensics | IF-FOR-IMAG | T-IFS/SPL/OJ-SP | IFS |
| 340 | | | | | Video forensics | IF-FOR-VID | T-IFS/SPL/OJ-SP | IFS |
| 341 | | | | | Multimedia content hash functions | IF-FOR-HASH | T-IFS/SPL/OJ-SP | IFS |
| 342 | | | | | Multimedia security analysis and benchmarking | IF-FOR-ANLS | T-IFS/SPL/OJ-SP | IFS |
| 343 | | | | | Multimedia content authentication and plagiarism detection | IF-FOR-AUTH | T-IFS/SPL/OJ-SP | IFS |
| 344 | | | | Machine learning for information forensics and security | | IF-ML | T-IFS/SPL/OJ-SP | IFS |
| 345 | | | | | Adversarial machine learning | IF-ML-ADVE | T-IFS/SPL/OJ-SP | IFS |
| 346 | | | | | AI for security and forensics | IF-ML-SECY | T-IFS/SPL/OJ-SP | IFS |
| 347 | | | | | Security and forensics for AI | IF-ML-AI | T-IFS/SPL/OJ-SP | IFS |
| 348 | | | | Biometrics | | IF-BIO | T-IFS/SPL/OJ-SP | IFS |
| 349 | | | | | Iris/ocular biometrics | IF-BIO-IRIS | T-IFS/SPL/OJ-SP | IFS |
| 350 | | | | | Face biometrics | IF-BIO-FACE | T-IFS/SPL/OJ-SP | IFS |
| 351 | | | | | Other biometrics | IF-BIO-OTHR | T-IFS/SPL/OJ-SP | IFS |
| 352 | | | | | Biometrics security and privacy | IF-BIO-SECY | T-IFS/SPL/OJ-SP | IFS |
| 353 | | | | | Biometric modalities | IF-BIO-MODY | T-IFS/SPL/OJ-SP | IFS |
| 354 | | | | Cybersecurity | | IF-SEC | T-IFS/SPL/OJ-SP | IFS |
| 355 | | | | | Hardware security | IF-SEC-HRDW | T-IFS/SPL/OJ-SP | IFS |
| 356 | | | | | Network security | IF-SEC-NETW | T-IFS/SPL/OJ-SP | IFS |
| 357 | | | | | System security | IF-SEC-SYST | T-IFS/SPL/OJ-SP | IFS |
| 358 | | | | | Communication and information theoretic security | IF-SEC-COMM | T-IFS/SPL/OJ-SP | IFS |
| 359 | | | | Surveillance | | IF-SUR | T-IFS/SPL/OJ-SP | IFS |
| 360 | | | | | Privacy in surveillance | IF-SUR-PRIV | T-IFS/SPL/OJ-SP | IFS |
| 361 | | | | | Object and event detection and recognition | IF-SUR-DETC | T-IFS/SPL/OJ-SP | IFS |
| 362 | | | | Applications and other topics in forensics and security | | IF-APP | T-IFS/SPL/OJ-SP | IFS |
| 363 | | 9 | Audio and Acoustic Signal Processing | | | AA | T-ASLP/SPL/OJ-SP | AASP |
| 364 | | | | Audio signal processing | | AA-AUD | T-ASLP/SPL/OJ-SP | AASP |
| 365 | | | | | Signal enhancement, restoration, and extraction | AA-AUD-SEN | T-ASLP/SPL/OJ-SP | AASP |
| 366 | | | | | Audio and speech source separation | AA-AUD-SEP | T-ASLP/SPL/OJ-SP | AASP |
| 367 | | | | | Audio and speech coding, transmission, and representations | AA-AUD-COMM | T-ASLP/SPL/OJ-SP | AASP |
| 368 | | | | | Audio and speech quality and intelligibility measures | AA-AUD-QUAL | T-ASLP/SPL/OJ-SP | AASP |
| 369 | | | | | Auditory modeling and hearing instruments | AA-AUD-MODL | T-ASLP/SPL/OJ-SP | AASP |
| 370 | | | | | System identification and dereverberation | AA-AUD-IDEN | T-ASLP/SPL/OJ-SP | AASP |
| 371 | | | | | Acoustic sensor array processing | AA-AUD-ARRY | T-ASLP/SPL/OJ-SP | AASP |
| 372 | | | | | Fundamental theory and algorithms for audio and acoustic signal processing | AA-AUD-METH | T-ASLP/SPL/OJ-SP | AASP |
| 373 | | | | Acoustic scenes and events | | AA-SCE | T-ASLP/SPL/OJ-SP | AASP |
| 374 | | | | | Audio captioning, retrieval, and understanding | AA-SCE-CAPT | T-ASLP/SPL/OJ-SP | AASP |
| 375 | | | | | Sound event and anomaly detection and sound scene classification | AA-SCE-DETC | T-ASLP/SPL/OJ-SP | AASP |
| 376 | | | | | Sound generation and synthesis | AA-SCE-SYNT | T-ASLP/SPL/OJ-SP | AASP |
| 377 | | | | Acoustic environment processing | | AA-ENV | T-ASLP/SPL/OJ-SP | AASP |
| 378 | | | | | Modeling, analysis, and synthesis of acoustic environments | AA-ENV-CHAN | T-ASLP/SPL/OJ-SP | AASP |
| 379 | | | | | Spatial audio recording and reproduction | AA-ENV-ACQN | T-ASLP/SPL/OJ-SP | AASP |
| 380 | | | | | Active noise control; acoustic echo and feedback cancellation | AA-ENV-ECHO | T-ASLP/SPL/OJ-SP | AASP |
| 381 | | | | Music analysis, processing, and generation | | AA-MUS | T-ASLP/SPL/OJ-SP | AASP |
| 382 | | | | | Music analysis | AA-MUS-ANLS | T-ASLP/SPL/OJ-SP | AASP |
| 383 | | | | | Music signal processing, production, and separation | AA-MUS-PROC | T-ASLP/SPL/OJ-SP | AASP |
| 384 | | | | | Audio- and symbolic-domain music generation and content creation | AA-MUS-MGEN | T-ASLP/SPL/OJ-SP | AASP |
| 385 | | | | Applications and other topics in audio and acoustic signal processing | | AA-APP | T-ASLP/SPL/OJ-SP | AASP |
| 386 | | | | | Bioacoustics and medical acoustics | AA-APP-BIO | T-ASLP/SPL/OJ-SP | AASP |
| 387 | | | | | Audio security | AA-APP-SEC | T-ASLP/SPL/OJ-SP | AASP |
| 388 | | | | | Audio for video and multimedia | AA-APP-VIMM | T-ASLP/SPL/OJ-SP | AASP |
| 389 | | | | | Data and open source for audio and acoustic signal processing | AA-APP-DATA | T-ASLP/SPL/OJ-SP | AASP |
| 390 | | 10 | Speech and Language Processing | | | SL | T-ASLP/SPL | SLP |
| 391 | | | | Human language processing | | SL-HLT | T-ASLP/SPL | SLP |
| 392 | | | | | Discourse and dialogue | SL-HLT-DIAL | T-ASLP/SPL | SLP |
| 393 | | | | | Language understanding and computational semantics | SL-HLT-UNDE | T-ASLP/SPL | SLP |
| 394 | | | | | Segmentation, tagging, and parsing of language | SL-HLT-PARS | T-ASLP/SPL | SLP |
| 395 | | | | | Summarization, retrieval and language learning | SL-HLT-LEAR | T-ASLP/SPL | SLP |
| 396 | | | | | Machine Learning for natural language processing | SL-HLT-ML | T-ASLP/SPL | SLP |
| 397 | | | | | Generation in natural language processing | SL-HLT-GENR | T-ASLP/SPL | SLP |
| 398 | | | | | Question answering | SL-HLT-QUES | T-ASLP/SPL | SLP |
| 399 | | | | Multi-modal/cross-modal speech and language processing | | SL-MM | T-ASLP/SPL/OJ-SP | SLP |
| 400 | | | | | Audio-visual speech/intent recognition | SL-MM-RECO | T-ASLP/SPL/OJ-SP | SLP |
| 401 | | | | | Cross-modal processing of language | SL-MM-XMOD | T-ASLP/SPL/OJ-SP | SLP |
| 402 | | | | | Multimodal processing of language | SL-MM-LANG | T-ASLP/SPL/OJ-SP | SLP |
| 403 | | | | | Multimodal processing of speech | SL-MM-SPE | T-ASLP/SPL/OJ-SP | SLP |
| 404 | | | | | Cross-modal processing of spoken language | SL-MM-XSL | T-ASLP/SPL/OJ-SP | SLP |
| 405 | | | | Speaker recognition, identification and verification | | SL-SPR | T-ASLP/SPL/OJ-SP | SLP |
| 406 | | | | | Speaker diarization and identification | SL-SPR-IDEN | T-ASLP/SPL/OJ-SP | SLP |
| 407 | | | | | Speaker verification | SL-SPR-VERI | T-ASLP/SPL/OJ-SP | SLP |
| 408 | | | | | Speaker anti-spoofing | SL-SPR-SPFG | T-ASLP/SPL/OJ-SP | SLP |
| 409 | | | | Speech enhancement and extraction | | SL-ENH | T-ASLP/SPL/OJ-SP | SLP |
| 410 | | | | | Self-supervised learning for speech processing | SL-ENH-LEAR | T-ASLP/SPL/OJ-SP | SLP |
| 411 | | | | | Speech analysis - pitch and spectrum | SL-ENH-ANLS | T-ASLP/SPL/OJ-SP | SLP |
| 412 | | | | | Speech analysis and enhancement | SL-ENH-ENHA | T-ASLP/SPL/OJ-SP | SLP |
| 413 | | | | | Speech coding and compression | SL-ENH-CODI | T-ASLP/SPL/OJ-SP | SLP |
| 414 | | | | | Speech separation and extraction | SL-ENH-SSEP | T-ASLP/SPL/OJ-SP | SLP |
| 415 | | | | | Voice, speech and language disorder | SL-ENH-DISO | T-ASLP/SPL/OJ-SP | SLP |
| 416 | | | | Speech event detection | | SL-EVT | T-ASLP/SPL/OJ-SP | SLP |
| 417 | | | | | Keyword and voice activity detection | SL-EVT-VAD | T-ASLP/SPL/OJ-SP | SLP |
| 418 | | | | | Non-speech acoustic event detection | SL-EVT-ACOU | T-ASLP/SPL/OJ-SP | SLP |
| 419 | | | | | Speaker change detection | SL-EVT-CHNG | T-ASLP/SPL/OJ-SP | SLP |
| 420 | | | | | Speech emotion recognition | SL-EVT-EMO | T-ASLP/SPL/OJ-SP | SLP |
| 421 | | | | Speech generation | | SL-GEN | T-ASLP/SPL/OJ-SP | SLP |
| 422 | | | | | Speaker anonymization | SL-GEN-ANO | T-ASLP/SPL/OJ-SP | SLP |
| 423 | | | | | Speech/singing voice conversion and cloning | SL-GEN-CONV | T-ASLP/SPL/OJ-SP | SLP |
| 424 | | | | | Text-to-speech generation | SL-GEN-TEXT | T-ASLP/SPL/OJ-SP | SLP |
| 425 | | | | | Multilingual and resources for text-to-speech generation | SL-GEN-MULT | T-ASLP/SPL/OJ-SP | SLP |
| 426 | | | | | Neural vocoder and codec | SL-GEN-CODE | T-ASLP/SPL/OJ-SP | SLP |
| 427 | | | | | Audio/music/singing voice generation | SL-GEN-MUSI | T-ASLP/SPL/OJ-SP | SLP |
| 428 | | | | | Watermarking and anti-spoofing | SL-GEN-SPFG | T-ASLP/SPL/OJ-SP | SLP |
| 429 | | | | Speech processing resources | | SL-DAT | T-ASLP/SPL/OJ-SP | SLP |
| 430 | | | | | Data sets for speech processing | SL-DAT-SETS | T-ASLP/SPL/OJ-SP | SLP |
| 431 | | | | | Language resources, metrics and systems | SL-DAT-SYST | T-ASLP/SPL/OJ-SP | SLP |
| 432 | | | | | Resource constrained speech-to-text | SL-DAT-RESC | T-ASLP/SPL/OJ-SP | SLP |
| 433 | | | | Speech recognition | | SL-REC | T-ASLP/SPL/OJ-SP | SLP |
| 434 | | | | | Context and language modeling for speech recognition | SL-REC-LMOD | T-ASLP/SPL/OJ-SP | SLP |
| 435 | | | | | Language identification | SL-REC-IDEN | T-ASLP/SPL/OJ-SP | SLP |
| 436 | | | | | Multilingual speech recognition and identification | SL-REC-LANG | T-ASLP/SPL/OJ-SP | SLP |
| 437 | | | | | Multi-talker speech recognition | SL-REC-MULT | T-ASLP/SPL/OJ-SP | SLP |
| 438 | | | | | Natural language processing for speech recognition | SL-REC-NLP | T-ASLP/SPL/OJ-SP | SLP |
| 439 | | | | | New algorithms/approaches for speech-to-text | SL-REC-ALGS | T-ASLP/SPL/OJ-SP | SLP |
| 440 | | | | | Speech modeling for speech recognition | SL-REC-SMOD | T-ASLP/SPL/OJ-SP | SLP |
| 441 | | | | | Adaptation and customization for speech-to-text | SL-REC-ADAP | T-ASLP/SPL/OJ-SP | SLP |
| 442 | | | | | Text-based customization for speech-to-text | SL-REC-TEXT | T-ASLP/SPL/OJ-SP | SLP |
| 443 | | | | Speech translation | | SL-TRL | T-ASLP/SPL/OJ-SP | SLP |
| 444 | | | | | Machine translation of spoken/written language | SL-TRL-ML | T-ASLP/SPL/OJ-SP | SLP |
| 445 | | | | | Natural language processing for speech translation | SL-TRL-NLP | T-ASLP/SPL/OJ-SP | SLP |
| 446 | | | | | Text-based customization for speech translation | SL-TRL-TEXT | T-ASLP/SPL/OJ-SP | SLP |
| 447 | | | | Spoken language processing | | SL-SLT | T-ASLP/SPL | SLP |
| 448 | | | | | Spoken discourse and dialoge | SL-SLT-DIAL | T-ASLP/SPL | SLP |
| 449 | | | | | Language modeling for spoken langauge | SL-SLT-LM | T-ASLP/SPL | SLP |
| 450 | | | | | Computational semantics for spoken language | SL-SLT-SEM | T-ASLP/SPL | SLP |
| 451 | | | | | Segmentation, tagging, and parsing of spoken language | SL-SLT-PARS | T-ASLP/SPL | SLP |
| 452 | | | | | Summarization, retrieval and language learning of spoken language | SL-SLT-LEAR | T-ASLP/SPL | SLP |
| 453 | | | | | Machine Learning for spoken language processing | SL-SLT-ML | T-ASLP/SPL | SLP |
| 454 | | | | | Learning, reasoning and inference for spoken language | SL-SLT-REAS | T-ASLP/SPL | SLP |
| 455 | | | | | Retrieval, IE and knowledge graphs for spoken language | SL-SLT-RETR | T-ASLP/SPL | SLP |
| 456 | | | | | Generation in spoken language processing | SL-SLT-GEN | T-ASLP/SPL | SLP |
| 457 | | | | | Benchmark and evaluation of spoken language | SL-SLT-BEN | T-ASLP/SPL | SLP |
| 458 | | | | | Spoken question answering | SL-SLT-QUES | T-ASLP/SPL | SLP |
| 459 | | | | | Spoken document retrieval and summarization | SL-SLT-SUMM | T-ASLP/SPL | SLP |
| 460 | | | | Applications and other topics in speech and language processing | | SL-APP | T-ASLP/SPL/OJ-SP | SLP |
| 461 | | 11 | Applied Signal Processing Systems | | | AS | T-SP/SPL | ASPS |
| 462 | | | | Integrating signal processing and computing | | AS-CMP | T-SP/SPL | ASPS |
| 463 | | | | | Quantum and quantum-inspired signal processing | AS-CMP-QUAN | T-SP/SPL | ASPS |
| 464 | | | | | Neuromorphic computing | AS-CMP-NEUR | T-SP/SPL | ASPS |
| 465 | | | | | Edge and embedded computing | AS-CMP-EDGE | T-SP/SPL | ASPS |
| 466 | | | | | Energy-aware computing | AS-CMP-ENGY | T-SP/SPL | ASPS |
| 467 | | | | | Hardware accelerators | AS-CMP-HRDW | T-SP/SPL | ASPS |
| 468 | | | | | Resource-efficient machine learning | AS-CMP-RESC | T-SP/SPL | ASPS |
| 469 | | | | | Signal processing and generative AI systems | AS-CMP-GPT | T-SP/SPL | ASPS |
| 470 | | | | | Processing-in-memory signal processing systems | AS-CMP-PIM | T-SP/SPL | ASPS |
| 471 | | | | Signal processing application systems | | AS-APP | T-SP/SPL | ASPS |
| 472 | | | | | Autonomous systems | AS-APP-AUTO | T-SP/SPL | ASPS |
| 473 | | | | | Internet of things | AS-APP-IOT | T-SP/SPL | ASPS |
| 474 | | | | | Robotics | AS-APP-ROBO | T-SP/SPL | ASPS |
| 475 | | | | | Radar, sonar and acoustic systems | AS-APP-RADR | T-SP/SPL | ASPS |
| 476 | | | | | Safe and trustworthy systems | AS-APP-SAFE | T-SP/SPL | ASPS |
| 477 | | | | | Applications of generative AI and foundation models | AS-APP-GPT | T-SP/SPL | ASPS |
| 478 | | | | | Other emerging topics in signal processing systems | AS-APP-OTHR | T-SP/SPL | ASPS |
| 479 | | 12 | Signal Processing Education | | | ED | T-SP/SPL | SPEB |
| 480 | | | | Curriculum development | | ED-CUR | T-SP/SPL | SPEB |
| 481 | | | | Resouces and tools for signal processing education | | ED-RES | T-SP/SPL | SPEB |
| 482 | | | | Pedagogical models for signal processing education | | ED-MOD | T-SP/SPL | SPEB |
| 483 | | | | Case studies in signal processing education | | ED-APP | T-SP/SPL | SPEB |
| 484 | | | | | | | | |
| 485 | | | Transactions on Signal Processing | | | | | |
| 486 | | | IEEE/ACM Transactions on Audio Speech and Language Processing | | | | | |
| 487 | | | | | | | | |