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Milton Halem
Milton Halem

Professor

Affiliated Faculty, Faculty

halem@umbc.edu 4104693522

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University of Maryland, Baltimore County
Computer Science and Electrical Engineering, 1000 Hilltop CIrcle, Baltimore, MD 21250, United States

Dr. Milton Halem is a research professor in the UMBC Computer Science and Electrical Engineering department. He also holds an Emeritus position as Chief Information Research Scientist to the Director of the Earth Sciences Directorate at the NASA Goddard Space Flight Center. Prior to retiring in 2002, Dr. Halem served in the joint capacity as Assistant Director for Information Sciences and Chief Information Officer for the NASA Goddard Space Flight Center. Dr. Halem provided the strategic information science and technology focus and oversight for the entire mission critical programs and projects at the Center. He is most noted for his ground breaking research in simulation studies of space observing systems and for development of four dimensional data assimilation for weather and climate prediction. Over the years, his achievements have earned him numerous awards including the NASA Medal for Exceptional Scientific Achievement, the NASA Medal for Outstanding Leadership, and NASA s highest award; the NASA Distinguished Service Medal in 1996.Dr. Halem is also a noted screen printmaker of Art from Space.

Milton Halem

Publications

2022

  1. R. Ayanzadeh and M. Halem, "Quantum: A New Kind of Knowledge Discovery", InBook, Convergence: Artificial Intelligence and Quantum Computing: Social, Economic, and Policy Impacts, November 2022, 292 downloads.
  2. R. Ayanzadeh, J. E. Dorband, M. Halem, and T. Finin, "Quantum-Assisted Greedy Algorithms", InProceedings, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), July 2022, 569 downloads.
  3. M. Halem, a. kochanski, J. Mandel, P. Nguyen, R. Atlas, Z. Yang, A. Bargteil, J. Sleeman, V. Caicedo, B. Demoz, D. Chapman, and K. Patel, "A Machine Learning Plume-Resolving Model Implementation over North America for Mega-Wildland Fire Smoke Impacts on Distant Planetary Boundary Layers", InProceedings, 102nd American Meteorological Society Annual Meeting, January 2022.

2021

  1. M. Halem, K. Patel, Z. Yang, and J. Sleeman, "The Use of Machine Learning to Infer the Transport Influence of US West Coast WildFires on the US East Coast Planetary Boundary Layer", InProceedings, AGU Fall Meeting 2021, December 2021.
  2. J. Sleeman, I. Stajner, C. Keller, M. Halem, C. Hamer, R. Montuoro, B. Baker, and e., "The Integration of Artificial Intelligence for Improved Operational Air Quality Forecasting", InProceedings, AGU Fall Meeting 2021, December 2021.
  3. K. Patel, J. Sleeman, and M. Halem, "Physics-aware deep edge detection network", InProceedings, Proceedings Volume 11859, Remote Sensing of Clouds and the Atmosphere XXVI; SPIE Remote Sensing, September 2021, 373 downloads.
  4. R. Ayanzadeh, J. E. Dorband, M. Halem, and T. Finin, "Multi-Qubit Correction for Quantum Annealers", Article, Nature Scientific Reports, July 2021, 800 downloads.
  5. J. Sleeman, T. Finin, and M. Halem, "Understanding Cybersecurity Threat Trends through Dynamic Topic Modeling", Article, Frontiers in Big Data, June 2021, 331 downloads.
  6. D. Ziaei, J. Sleeman, M. Halem, V. Caicedo, R. M. Delgado, and B. Demoz, "Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 533 downloads.
  7. Z. Ali, D. Ziaei, J. Sleeman, Z. Yang, and M. Halem, "LSTMs for Inferring Planetary Boundary Layer Height (PBLH)", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 545 downloads.

2020

  1. J. Sleeman, M. Halem, V. Caicedo, B. Demoz, and R. M. Delgado, "A Deep Machine Learning Approach for LIDAR Based Boundary Layer Height Detection", InProceedings, IEEE International Geoscience and Remote Sensing Symposium, October 2020.
  2. R. Ayanzadeh, J. E. Dorband, M. Halem, and T. Finin, "Post-Quantum Error-Correction for Quantum Annealers", Article, arXiv:2010.00115 [quant-ph], September 2020, 468 downloads.
  3. R. Ayanzadeh, M. Halem, and T. Finin, "An Ensemble Approach for Compressive Sensing with Quantum Annealers", InProceedings, IEEE International Geoscience and Remote Sensing Symposium, June 2020, 580 downloads.
  4. J. Sleeman, T. Finin, and M. Halem, "Temporal Understanding of Cybersecurity Threats", InProceedings, IEEE International Conference on Big Data Security on Cloud, May 2020, 951 downloads.
  5. J. Sleeman, J. E. Dorband, and M. Halem, "A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning", InProceedings, Quantum Information Science, Sensing, and Computation XII, May 2020, 504 downloads.
  6. R. Ayanzadeh, M. Halem, and T. Finin, "Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata", Article, Nature Scientific Reports, May 2020, 632 downloads.
  7. J. Sleeman, J. E. Dorband, and M. Halem, "A Hybrid Quantum Enabled RBM Advantage: Convolutional Autoencoders for Quantum Image Compression and Generative Learning", Article, arXiv preprint arXiv:2001.11946, January 2020, 801 downloads.
  8. R. Ayanzadeh, M. Halem, and T. Finin, "Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach", Article, arXiv:2001.00234 [quant-ph], January 2020, 730 downloads.

2019

  1. R. Ayanzadeh, M. Halem, and T. Finin, "Compressive Geospatial Analytics", InProceedings, American Geophysical Union, Fall Meeting 2019, December 2019.
  2. R. Ayanzadeh, M. Halem, J. E. Dorband, and T. Finin, "Quantum-Assisted Greedy Algorithms", Article, arXiv:1912.02362 [quant-ph], December 2019, 527 downloads.
  3. J. Sleeman, V. Caicedo, M. Halem, and B. Demoz, "Using Lidar and Machine Learning to Identify Planetary Boundary Layer Heights", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2019.
  4. J. Sleeman, M. Halem, and J. E. Dorband, "RBM Image Generation Using the D-Wave 2000Q", Misc, Poster Presentation Presented at the 2019 Rising Stars in EECS Workshop, October 2019, 524 downloads.
  5. J. Sleeman, M. Halem, and J. E. Dorband, "RBM Image Generation Using the D-Wave 2000Q", Misc, D-Wave Qubits North America Conference, September 2019, 649 downloads.
  6. R. Ayanzadeh, M. Halem, and T. Finin, "SAT-based Compressive Sensing", Article, arXiv:1903.03650 [cs.IT], March 2019, 566 downloads.
  7. R. Ayanzadeh, S. Mousavi, M. Halem, and T. Finin, "Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty", Article, arXiv:1901.00088 [cs.IT], January 2019, 930 downloads.

2018

  1. R. Ayanzadeh, M. Halem, and T. Finin, "Solving Hard SAT Instances with Adiabatic Quantum Computers", American Geophysical Union, Fall Meeting 2018, abstract #IN41B-27, December 2018.
  2. J. Sleeman, T. Finin, and M. Halem, "Ontology-Grounded Topic Modeling for Climate Science Research", InCollection, Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events, October 2018, 1013 downloads.

2017

  1. J. Sleeman, T. Finin, M. Cane, and M. Halem, "Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling", InProceedings, IEEE International Conference on Big Data, December 2017, 1040 downloads.
  2. J. Sleeman, M. Halem, T. Finin, and M. Cane, "Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps", InProceedings, AAAI Spring Symposium on AI for Social Good, March 2017, 1957 downloads.

2016

  1. J. Sleeman, M. Halem, T. Finin, and M. Cane, "Advanced Large Scale Cross Domain Temporal Topic Modeling Algorithms to Infer the Influence of Recent Research on IPCC Assessment Reports", InProceedings, American Geophysical Union Fall Meeting 2016, December 2016, 1646 downloads.
  2. J. Sleeman, M. Halem, T. Finin, and M. Cane, "Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports", InProceedings, Big Data Challenges, Research, and Technologies in the Earth and Planetary Sciences Workshop, IEEE Int. Conf. on Big Data, December 2016, 1389 downloads.

2014

  1. K. P. Joshi, M. Halem, Y. Yesha, J. E. Dorband, and e., "USM Community Cloud: VCL-based Academic Cloud", InProceedings, 2nd International IBM Cloud Academy Conference ICA CON 2014, Atlanta, May 2014, 2302 downloads.

2010

  1. C. Tilmes, Y. Yesha, and M. Halem, "Tracking Provenance of Earth Science Data", Article, Earth Science Informatics, November 2010, 1709 downloads.
  2. D. Chapman, K. P. Joshi, Y. Yesha, M. Halem, Y. Yesha, and P. Nguyen, "Scientific Services on the Cloud", InBook, Handbook of Cloud Computing, September 2010, 1790 downloads.
  3. C. Tilmes, Y. Yesha, and M. Halem, "Provenance Artifact Identification in the Atmospheric Composition Processing System (ACPS)", InProceedings, Proceedings of the 2nd Workshop on the Theory and Practice of Provenance, February 2010, 1288 downloads, 1 citation.

2009

  1. J. Kim, S. Lee, M. Halem, and Y. Peng, "Semantic Similarity Analysis of XML Schema using Grid Computing", InProceedings, Proceedings of the IEEE International Conference on Information Reuse and Integration, August 2009, 803 downloads.
  2. M. Halem, C. Tilmes, Y. Yesha, D. Chapman, and P. Nguyen, "Providing Gridded Atmospheric Radiance Products and Services from MODIS and AIRS Instruments on NASA's Aqua Satellite", Article, IEEE Geoscience and Remote Sensing Symposium, 2008., February 2009.
  3. M. Halem, N. Most, C. Tilmes, K. Stewart, Y. Yesha, D. Chapman, and P. Nguyen, "Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies", Article, IEEE Transactions on Geoscience and Remote Sensing, January 2009.

2007

  1. M. Halem, Y. Yesha, C. Tilmes, D. Chapman, N. Most, and A. Bertolli, "SOAR: A System for the Analysis of Atmospheric Radiances", InProceedings, EOS Transactions, December 2007.
  2. M. Halem, Y. Yesha, C. Tilmes, D. Chapman, M. Goldberg, and L. Zhou, "A Web Service Tool (SOAR) for the Dynamic Generation of L1 Grids of Coincident AIRS, AMSU and MODIS Satellite Sounding Radiance Data for Climate Studies", Article, EOS Transactions, June 2007.
  3. M. Halem, A. Patwardhan, S. Dornbush, M. Seablom, and Y. Yesha, "Sensor Web Design Studies for Realtime Dynamic Congestion Pricing", Proceedings, PerTrans07, March 2007, 3891 downloads.

2005

  1. M. Halem and R. Schauer, "A Mass Storage System Administrator Autonomic Assistant", InProceedings, Proceedings of the Second International Conference on Autonomic Computing, June 2005, 2463 downloads.

Past Projects

  1. Modelling the evolution of climate change research, Faculty