Scientific computing challenges arising from space-borne observations. - Milton Halem (Proc. IEEE, 1989)

Promising Research Disrections in Disgital Libraries. - Nabil R. Adam; Milton Halem; Shamim A. Naqvi (DL, 1994)

An Approximate Performance Model of a Unitree Mas Storage System. - Odysseas I. Pentakalos; Daniel A. Menascé; Milton Halem; Yelena Yesha (IEEE Symposium on Mass Storage Systems, 1995)

Analytical Performance Modeling of Hierarchical Mass Storage Systems. - Odysseas I. Pentakalos; Daniel A. Menascé; Milton Halem; Yelena Yesha (IEEE Trans. Computers, 1997)

Digital Earth - Panel. - Milton Halem; Susan Hoban (ADL, 1999)

A Mass Storage System Administrator Autonomic Assistant. - Milton Halem; Randy Schauer (ICAC, 2005)

Sensor Web Design Studies for Realtime Dynamic Congestion Pricing. - Milton Halem; Anand Patwardhan; Sandor Dornbush; Michael S. Seablom; Yelena Yesha (PerCom Workshops, 2007)

Service Oriented Atmospheric Radiances (SOAR) - A Web Service Research Tool for the Gridding and Synthesis of Multi-Sensor Satellite Radiance Data for Weather and Climate Studies. - Milton Halem; Curt Tilmes; Yelena Yesha; Sharon Shen; Mitchell D. Goldberg; L. H. Zhou (WEBIST (1), 2007)

A Semi-Decadal Multi-Sensor Gridded Data Record of Outgoing Longwave Radiation (OLR) from Aqua. - Milton Halem; David Chapman 001; Phuong Nguyen (IGARSS (3), 2008)

Providing Gridded Atmospheric Radiance Products and Services from MODIS and AIRS Instruments on NASA's Aqua Satellite. - Milton Halem; Curt Tilmes; Yelena Yesha; David Chapman 001; Phuong Nguyen (IGARSS (4), 2008)

Cloud Computing for Satellite Data Processing on High End Compute Clusters. - Navid Golpayegani; Milton Halem (IEEE CLOUD, 2009)

Semantic Similarity Analysis of XML Schema using Grid Computing. - Jaewook Kim; Sookyoung Lee; Milton Halem; Yun Peng 001 (IRI, 2009)

The impact of IBM Cell technology on the programming paradigm in the context of computer systems for climate and weather models. - Shujia Zhou; Daniel C. Duffy; Tom Clune; Max Suarez; Samuel Williams 001; Milton Halem (Concurr. Comput. Pract. Exp., 2009)

Special Issue: Exploring the Frontiers of Computing Science and Technology: Adapting Emerging Multi- and Many-core Processors. - Shujia Zhou; Yelena Yesha; Milton Halem (Concurr. Comput. Pract. Exp., 2009)

Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies. - Milton Halem; Neal Most; Curt Tilmes; Kevin Stewart; Yelena Yesha; David Chapman 001; Phuong Nguyen (IEEE Trans. Geosci. Remote. Sens., 2009)

Scientific Services on the Cloud. - David Chapman 001; Karuna P. Joshi; Yelena Yesha; Milton Halem; Yaacov Yesha; Phuong Nguyen (Handbook of Cloud Computing, 2010)

Provenance Artifact Identification in the Atmospheric Composition Processing System (ACPS). - Curt Tilmes; Yelena Yesha; Milton Halem (TaPP, 2010)

Tracking provenance of earth science data. - Curt Tilmes; Yelena Yesha; Milton Halem (Earth Sci. Informatics, 2010)

Distinguishing Provenance Equivalence of Earth Science Data. - Curt Tilmes; Yelena Yesha; Milton Halem (ICCS, 2011)

Noise reduction in gridded airs brightness temperature grids using the MODIS Obscov algorithm. - David Chapman 001; Milton Halem; Phuong Nguyen; Jeff Avery (IGARSS, 2012)

A near fundamental decadal data record of airs infrared surface brightness temperatures. - Phuong Nguyen; David Chapman 001; Milton Halem; Jeff Avery (IGARSS, 2012)

A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment. - Phuong Nguyen; Tyler A. Simon; Milton Halem; David Chapman 001; Quang Le (UCC, 2012)

Special Issue: Exploring the frontiers of computing science and technology: efficiently utilizing multicore and many-core processors. - Shujia Zhou; Yelena Yesha; Milton Halem (Concurr. Comput. Pract. Exp., 2012)

Human Sensor Networks for Improved Modeling of Natural Disasters. - Oleg Aulov; Milton Halem (Proc. IEEE, 2012)

LVFS: A scalable big data scientific storage system. - Navid Golpayegani; Milton Halem; Edward J. Masuoka; Neal K. Devine; Gang Ye (CLUSTER, 2013)

A Data Intensive Statistical Aggregation Engine: A Case Study for Gridded Climate Records. - David Chapman 001; Tyler A. Simon; Phuong Nguyen; Milton Halem (IPDPS Workshops, 2013)

Social Media Data Analytics Applied to Hurricane Sandy. - Han Dong; Milton Halem; Shujia Zhou (SocialCom, 2013)

Multiple objective scheduling of HPC workloads through dynamic prioritization. - Tyler A. Simon; Phuong Nguyen; Milton Halem (SpringSim (HPC), 2013)

AsonMaps: A platform for aggregation visualization and analysis of disaster related human sensor network observations. - Oleg Aulov; Adam Price; Milton Halem (ISCRAM, 2014)

Big Data Analytics Performance for Large Out-of-Core Matrix Solvers on Advanced Hybrid Architectures. - Raghavendra Shruti Rao; Milton Halem; John E. Dorband (ICCS, 2015)

YinMem: A distributed parallel indexed in-memory computation system for large scale data analytics. - Yin Huang; Yelena Yesha; Milton Halem; Yaacov Yesha; Shujia Zhou (IEEE BigData, 2016)

Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps. - Jennifer Sleeman; Milton Halem; Tim Finin; Mark Cane (AAAI Spring Symposia, 2017)

Discovering scientific influence using cross-domain dynamic topic modeling. - Jennifer Sleeman; Milton Halem; Tim Finin; Mark Cane (IEEE BigData, 2017)

A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows. - Timothy Blattner; Walid Keyrouz; Shuvra S. Bhattacharyya; Milton Halem; Mary Brady (J. Signal Process. Syst., 2017)

Ontology-Grounded Topic Modeling for Climate Science Research. - Jennifer Sleeman; Tim Finin; Milton Halem (ISWC (Best Workshop Papers), 2018)

Exploring the Behavior of Coherent Accelerator Processor Interface (CAPI) on IBM Power8+ Architecture and FlashSystem 900. - Kaushik Velusamy; Smriti Prathapan; Milton Halem (ISC Workshops, 2019)

Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty. - Ramin Ayanzadeh; Seyedahmad Mousavi; Milton Halem; Tim Finin (CoRR, 2019)

SAT-based Compressive Sensing. - Ramin Ayanzadeh; Milton Halem; Tim Finin (CoRR, 2019)

Temporal Understanding of Cybersecurity Threats. - Jennifer Sleeman; Tim Finin; Milton Halem (BigDataSecurity/HPSC/IDS, 2020)

An Ensemble Approach for Compressive Sensing with Quantum Annealers. - Ramin Ayanzadeh; Milton Halem; Tim Finin (IGARSS, 2020)

Satellite Data Fusion of Multiple Observed XCO2 using Compressive Sensing and Deep Learning. - Phuong Nguyen; Samit Shivadekar; Sai Sree Laya Chukkapalli; Milton Halem (IGARSS, 2020)

A Deep Machine Learning Approach for Lidar Based Boundary Layer Height Detection. - Jennifer Sleeman; Milton Halem; Zhifeng Yang; Vanessa Caicedo; Belay Demoz; Ruben Delgado (IGARSS, 2020)

Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning. - Dorsa Ziaei; David Chapman 001; Yaacov Yesha; Milton Halem (Image Processing, 2020)

Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach. - Ramin Ayanzadeh; Milton Halem; Tim Finin (CoRR, 2020)

A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning. - Jennifer Sleeman; John E. Dorband; Milton Halem (CoRR, 2020)

An Ensemble Approach for Compressive Sensing with Quantum. - Ramin Ayanzadeh; Milton Halem; Tim Finin (CoRR, 2020)

Post-Quantum Error-Correction for Quantum Annealers. - Ramin Ayanzadeh; John E. Dorband; Milton Halem; Tim Finin (CoRR, 2020)

LSTMs for Inferring Planetary Boundary Layer Height (PBLH). - Zeenat Ali; Dorsa Ziaei; Jennifer Sleeman; Zhifeng Yang; Milton Halem (AAAI Spring Symposium: MLPS, 2021)

Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction. - Dorsa Ziaei; Jennifer Sleeman; Milton Halem; Vanessa Caicedo; Ruben Delgado; Belay Demoz (AAAI Spring Symposium: MLPS, 2021)

An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images. - Samit Shivadekar; Jayalakshmi Mangalagiri; Phuong Nguyen; David Chapman 001; Milton Halem; Rahul Gite (ICPP Workshops, 2021)

Deep Neural Network Architecture Search for Emulating Physical Parameterization of Planetary Boundary Layer Height. - Phuong Nguyen; Rahul Gite; Zhifeng Yang; Milton Halem (IGARSS, 2021)

Understanding Cybersecurity Threat Trends Through Dynamic Topic Modeling. - Jennifer Sleeman; Tim Finin; Milton Halem (Frontiers Big Data, 2021)

Towards a Dynamic Data Driven Wildfire Digital Twin (WDT): Impacts on Deforestation, Air Quality and Cardiopulmonary Disease. - Milton Halem; Adam K. Kochanski; Jan Mandel; Jennifer Sleeman; Belay Demoz; Adam Bargteil; Shreya Uday Patil; Samit Shivadekar; A. Iorga; John Dorband; James MacKinnon; Sen Chiao; et al. (DDDAS, 2022)

Quantum-Assisted Greedy Algorithms. - Ramin Ayanzadeh; John E. Dorband; Milton Halem; Tim Finin (IGARSS, 2022)

Multi-Variable Tensor Decomposition Analytics. - Samit Shivadekar; Yaacov Yesha; Milton Halem; Zhifeng Yang (IGARSS, 2023)

DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting. - Pratik Shukla; Milton Halem (CoRR, 2024)

Edge AI cosmos blockchain distributed network for precise ablh detection. - Samit Shivadekar; Milton Halem; Yaacove Yeah; Shivam Vibhute (Multim. Tools Appl., 2024)