Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. - Soumalya Sarkar; Kushal Mukherjee; Soumik Sarkar; Asok Ray (ACC, 2012)

A unified framework for supervised learning of semantic models. - Yicheng Wen; Soumalya Sarkar; Asok Ray; Xin Jin 016; Thyagaraju Damarla (ACC, 2012)

Anomaly detection in flight recorder data: A dynamic data-driven approach. - Santanu Das; Soumalya Sarkar; Asok Ray; Ashok N. Srivastava; Donald L. Simon (ACC, 2013)

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. - Soumalya Sarkar; Nurali Virani; Murat Yasar; Asok Ray; Soumik Sarkar (ACC, 2013)

A Bluetooth-Based Autonomous Mining System. - Saikat Roy; Soumalya Sarkar; Avranil Tah (ICACNI, 2013)

Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification. - Nurali Virani; Shane Marcks; Soumalya Sarkar; Kushal Mukherjee; Asok Ray; Shashi Phoha (ICCS, 2013)

Performance comparison of feature extraction algorithms for target detection and classification. - Soheil Bahrampour; Asok Ray; Soumalya Sarkar; Thyagaraju Damarla; Nasser M. Nasrabadi (Pattern Recognit. Lett., 2013)

Early detection of lean blow out (LBO) via generalized D-Markov machine construction. - Soumalya Sarkar; Asok Ray; Achintya Mukhopadhyay; Rajendra R. Chaudhari; Swarnendu Sen (ACC, 2014)

Context-aware Dynamic Data-driven Pattern Classification. - Shashi Phoha; Nurali Virani; Pritthi Chattopadhyay; Soumalya Sarkar; Brian M. Smith; Asok Ray (ICCS, 2014)

Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes. - Soumalya Sarkar; Soumik Sarkar; Nurali Virani; Asok Ray; Murat Yasar (Frontiers Robotics AI, 2014)

Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach. - Soumalya Sarkar; Pritthi Chattopadhyay; Asok Ray; Shashi Phoha; Mark Levi (ACC, 2015)

Real-time activity recognition from seismic signature via multi-scale symbolic time series analysis (MSTSA). - Soumalya Sarkar; Thyagaraju Damarla; Asok Ray (ACC, 2015)

Dynamic data-driven symbolic causal modeling for battery performance & health monitoring. - Soumalya Sarkar; Devesh K. Jha; Asok Ray; Yue Li 014 (FUSION, 2015)

Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. - Soumalya Sarkar; Kin Gwn Lore; Soumik Sarkar (CoCo@NIPS, 2015)

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. - Soumalya Sarkar; Devesh K. Jha; Kin Gwn Lore; Soumik Sarkar; Asok Ray (ACC, 2016)

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. - Adedotun Akintayo; Kin Gwn Lore; Soumalya Sarkar; Soumik Sarkar (CoRR, 2016)

Symbolization of dynamic data-driven systems for signal representation. - Soumalya Sarkar; Pritthi Chattopadhyay; Asok Ray (Signal Image Video Process., 2016)

Algorithms for Context Learning and Information Representation for Multi-Sensor Teams. - Nurali Virani; Soumalya Sarkar; Ji-Woong Lee; Shashi Phoha; Asok Ray (Context-Enhanced Information Fusion, 2016)

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. - Tryambak Gangopadhyay; Vikram Ramanan; Adedotun Akintayo; Paige K. Boor; Soumalya Sarkar; Satyanarayanan R. Chakravarthy; Soumik Sarkar (CoRR, 2021)

Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks. - Mohamed Aziz Bhouri; Michael Joly; Robert Yu; Soumalya Sarkar; Paris Perdikaris (CoRR, 2023)

LLMs for Multi-Modal Knowledge Extraction and Analysis in Intelligence/Safety-Critical Applications. - Brett W. Israelsen; Soumalya Sarkar (CoRR, 2023)

Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings. - Saptarshi Sengupta; Connor T. Heaton; Suhan Cui; Soumalya Sarkar; Prasenjit Mitra (BIBM, 2024)

Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension. - Saptarshi Sengupta; Connor T. Heaton; Prasenjit Mitra; Soumalya Sarkar (CoRR, 2024)

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks. - Shrenik Zinage; Sudeepta Mondal; Soumalya Sarkar (CoRR, 2024)