Heterogeneous Relational Databases for a Grid-Enabled Analysis Environment. - Arshad Ali 001; Ashiq Anjum; Tahir Azim; Julian J. Bunn; Saima Iqbal; Richard McClatchey; Harvey B. Newman; S. Yousaf Shah; Tony Solomonides; Conrad Steenberg; Michael Thomas 002; Frank van Lingen; et al. (ICPP Workshops, 2005)

Market mechanisms for Value of Information driven resource allocation in Sensor Networks. - Boleslaw K. Szymanski; S. Yousaf Shah; Sahin Cem Geyik; Sanmay Das; Meenal Chhabra; Petros Zerfos (PerCom Workshops, 2011)

Policy-Aware Service Composition in Sensor Networks. - Raheleh Dimaghani; Sahin Cem Geyik; Keith Grueneberg; Jorge Lobo 001; S. Yousaf Shah; Boleslaw K. Szymanski; Petros Zerfos (IEEE SCC, 2012)

Transient traffic congestion control with Traveling Auctions. - S. Yousaf Shah; Boleslaw K. Szymanski (PerCom Workshops, 2012)

Market mechanisms for resource allocation in pervasive sensor applications. - Sahin Cem Geyik; S. Yousaf Shah; Boleslaw K. Szymanski; Sanmay Das; Petros Zerfos (Pervasive Mob. Comput., 2012)

Price based routing for event driven prioritized traffic in wireless sensor networks. - S. Yousaf Shah; Boleslaw K. Szymanski (NSW, 2013)

Autonomous configuration of spatially aware sensor services in service oriented WSNs. - S. Yousaf Shah; Boleslaw K. Szymanski; Petros Zerfos; Chatschik Bisdikian; Christopher Gibson; Dominic Harries (PerCom Workshops, 2013)

Parallel Overlapping Community Detection with SLPA. - Konstantin Kuzmin; S. Yousaf Shah; Boleslaw K. Szymanski (SocialCom, 2013)

Dynamic Policy Enforcement Using Restriction Set Theoretic Expressions (RSTE). - S. Yousaf Shah; Boleslaw K. Szymanski (MILCOM, 2014)

Dynamic management of network systems. - S. Yousaf Shah (2014)

Data-at-rest security for spark. - Syed Yousaf Shah; Brent Paulovicks; Petros Zerfos (IEEE BigData, 2016)

Towards Relevancy Aware Service Oriented Systems in WSNs. - Syed Yousaf Shah; Boleslaw K. Szymanski; Petros Zerfos; Christopher Gibson (IEEE Trans. Serv. Comput., 2016)

Dependency analysis of cloud applications for performance monitoring using recurrent neural networks. - Syed Yousaf Shah; Zengwen Yuan; Songwu Lu; Petros Zerfos (IEEE BigData, 2017)

Root Cause Detection using Dynamic Dependency Graphs from Time Series Data. - Syed Yousaf Shah; Xuan-Hong Dang; Petros Zerfos (IEEE BigData, 2018)

seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention. - Xuan-Hong Dang; Syed Yousaf Shah; Petros Zerfos (CoRR, 2018)

seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series. - Xuan-Hong Dang; Syed Yousaf Shah; Petros Zerfos (IEEE BigData, 2019)

FLOps: On Learning Important Time Series Features for Real-Valued Prediction. - Dhaval Patel 002; Syed Yousaf Shah; Nianjun Zhou; Shrey Shrivastava; Arun Iyengar; Anuradha Bhamidipaty; Jayant Kalagnanam (IEEE BigData, 2020)

"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering. - Xuan-Hong Dang; Syed Yousaf Shah; Petros Zerfos (IJCAI, 2020)

AutoAI-TS: AutoAI for Time Series Forecasting. - Syed Yousaf Shah; Dhaval Patel 002; Long Vu; Xuan-Hong Dang; Bei Chen; Peter Kirchner; Horst Samulowitz; David Wood; Gregory Bramble; Wesley M. Gifford; Giridhar Ganapavarapu; Roman Vaculín; et al. (SIGMOD Conference, 2021)

Modality-aware Transformer for Time series Forecasting. - Hajar Emami; Xuan-Hong Dang; S. Yousaf Shah; Petros Zerfos (CoRR, 2023)

Data-Prep-Kit: getting your data ready for LLM application development. - David Wood; Boris Lublinsky; Alexy Roytman; Shivdeep Singh; Constantin Adam; Abdulhamid Adebayo; Sungeun An; Yuan Chi Chang; Xuan-Hong Dang; Nirmit Desai; Michele Dolfi; Hajar Emami-Gohari; et al. (IEEE Big Data, 2024)

Modality-aware Transformer for Financial Time series Forecasting. - Hajar Emami-Gohari; Xuan-Hong Dang; Syed Yousaf Shah; Petros Zerfos (ICAIF, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - Mayank Mishra; Matt Stallone; Gaoyuan Zhang; Yikang Shen; Aditya Prasad; Adriana Meza Soria; Michele Merler; Parameswaran Selvam; Saptha Surendran; Shivdeep Singh; Manish Sethi; Xuan-Hong Dang; et al. (CoRR, 2024)

GneissWeb: Preparing High Quality Data for LLMs at Scale. - Hajar Emami-Gohari; Swanand Ravindra Kadhe; Syed Yousaf Shah; Constantin Adam; Abdulhamid Adebayo; Praneet Adusumilli; Farhan Ahmed; Nathalie Baracaldo Angel; Santosh Borse; Yuan Chi Chang; Xuan-Hong Dang; Nirmit Desai; et al. (CoRR, 2025)