Antonio Sanfilippo | Hamad Bin Khalifa University

Qatar Environment and Energy Research Institute QEERI

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Hamad Bin Khalifa University

FACULTY BIOGRAPHIES

Antonio Sanfilippo

Dr. Antonio Sanfilippo

Chief Scientist
Qatar Environment and Energy Research Institute
  • Phone+974 4454 7157
  • Office location1241, B2, RC

Biography

Dr. Antonio Sanfilippo is Chief Scientist at Qatar Environment & Energy Research Institute (QEERI), where he leads the Energy Management Program. He has been awarded several grants from Qatar National Research Fund and presented with the 2020 Qatar Innovation Leadership Award by the World Innovation Congress. Under his leadership, the QEERI Energy Management team has established capabilities that have become key reference points for local and international stakeholders, including a network of solar monitoring stations and a microgrid testbed. Prior to QEERI, Dr. Sanfilippo was Chief Scientist at the Pacific Northwest National Laboratory (PNNL, US), where he received the 2008 Laboratory Director’s Award for Exceptional Scientific Achievement. At PNNL, he led research projects for the Dept. of Homeland Security, National Institutes of Health, Dept. of Energy, National Science Foundation, and a laboratory initiative on predictive analytics. Dr. Sanfilippo has also held positions as Research Director in the private sector, Senior Consultant at the European Commission, Research Supervisor and Group Manager at SHARP Laboratories of Europe, and Research Associate at the Universities of Edinburgh and Cambridge in the UK. Dr. Sanfilippo holds master’s degrees from Columbia University (US), and a PhD from the School of Informatics at the University of Edinburgh (UK).

 

Research Interests

  • Artificial Intelligence
  • Data Mining
  • Machine Learning
  • Predictive Analytics
  • Complex Systems
  • Knowledge Technologies
  • Techno-Economic Modeling
  • Policy and Behavioral Modeling
  • Energy, environment, security, health, energy management
  • Smart grid technologies
  • Solar resource assessment
  • Demand-side management
  • Renewable energy adoption and trade
  • Electrical Vehicle Integration

Experience

Chief Scientist

Qatar Environment & Energy Research Institute; Qatar

2014 - Present

  • Chief Scientist

    Pacific Northwest National Laboratory, USA

    2003 - 2014

  • Director

    Research Strategy & Planning, Textology, USA

    2002 - 2003

  • Director

    Advanced Development, LingoMotors, USA

    2001 - 2002

  • Senior Consultant

    European Commission, Luxembourg

    1998 - 2000

  • SHARP Laboratories of Europe (SLE), UK

    1992 - 1998

  • Research Supervisor

    Information & Language Technology Team

    1995 - 1998

  • Acting Manager

    Information & Language Technology Team

    1994

  • Senior Researcher

    Information & Language Technology Team

    1992 - 1995

  • Research Associate

    Computer Laboratory, University of Cambridge, UK

    1990 - 1992

  • Research Associate

    School of Informatics, University of Edinburgh, UK

    1989 - 1990

Education

Ph.D. in Cognitive Science

Cognitive Science, School of Informatics, University of Edinburgh, Edinburgh, UK

1991

  • M.Phil. in Anthropological Linguistics

    Columbia University; New York/ USA

    1986

  • M.A. in Anthropological Linguistics

    Columbia University; New York/USA

    1982

  • Laurea in Modern Languages (summa cum laude)

    University of Palermo; Palermo\Italy

    1979

Selected Publications

  • Sanfilippo, A. Graph Theory. In: Keith Brown, (Editor-in-Chief) Encyclopedia of Language & Linguistics, Second Edition, volume 5, pp. 140-142. Oxford: Elsevier, 2006.

  • Wong, P. C., Rose, S. J., Chin, G., Frincke, D. A., May, R., Posse, C., Sanfilippo, A. Thomas, J. Walking the path: a new journey to explore and discover through visual analytics. Information Visualization, 5(4), 237-249., 2006.

  • Sanfilippo, A., Posse, C., Gopalan, B., Riensche, R., Beagley, N., Baddeley, B., S. Tratz, Gregory, M. Combining hierarchical and associative gene ontology relations with textual evidence in estimating gene and gene product similarity. Nanobioscience, IEEE Transactions on, 6(1), 51-59, 2007.

  • Sanfilippo, A., Franklin, L., Tratz, S., Danielson, G., Mileson, N., Riensche, R., & McGrath, L. Automating frame analysis. In Social computing, behavioral modeling, and prediction (pp. 239-248). Springer US., 2008.

  • Wong, P. C., Leung, L. R., Sanfilippo, A., Lu, N., Scott, M. J., Mackey, P., ... & Unwin, S. D. Designing a collaborative visual analytics tool for social and technological change prediction. IEEE computer graphics and applications, (5), 58-68, 2009.

  • Boulos, M. N. K., Sanfilippo, A. P., Corley, C. D., & Wheeler, S. Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance. Computer Methods and Programs in Biomedicine, 100(1), 16-23, 2010.

  • Sanfilippo, A., Butner, S., Cowell, A., Dalton, A., Haack, J., Kreyling, S., Riensche, R., Whitney, P. Technosocial predictive analytics for illicit nuclear trafficking. Salerno J., Yang S.J., Nau D., Chai SK. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2011. Lecture Notes in Computer Science, vol 6589. Springer, Berlin, Heidelberg, 2011.

  • Sanfilippo, A., McGrath, L. Social Predictive Analytics and Terrorism Deterrence. Social Intelligence and Cultural Awareness, Trends & Controversies, IEEE Intelligent Systems, July/August 2011 issue, IEEE Computer Society, 2011.

  • Sanfilippo, A., McGrath, L., & Whitney, P. Violent frames in action. Dynamics of Asymmetric Conflict, 4(2), 103-112. Taylor & Francis, 2011.

  • Sanfilippo, A., Gilbert, N., & Greaves, M. Technosocial predictive analytics for security informatics. Security Informatics, 1(1), 1-3. Springer, 2012.

  • McDermott, J. E., Jarman, K., Taylor, R., Lancaster, M., Shankaran, H., Vartanian, K. B., & Sanfilippo, A. Modeling dynamic regulatory processes in stroke. PLoS Comput Biol 8(10): e1002722. https://doi.org/10.1371/journal.pcbi.1002722, 2012.

  • McDermott, J. E., Vartanian, K. B., Mitchell, H., Stevens, S. L., Sanfilippo, A., & Stenzel-Poore, M. P. Identification and validation of Ifit1 as an important innate immune bottleneck. PloS one, 7(6), e36465, 2012.

  • Sanfilippo, A., Mcgrath, L.; Bell, E. Computer Modeling of Violent Intent: A Content Analysis Approach. Iin Meloy, JR & Hoffmann J, eds. International Handbook of Threat Assessment. New York: Oxford Univ. Press, 2013.

  • Sanfilippo, A., Riensche, R., Haack, J., & Butner, S. Psychosocial and cultural modeling in human computation systems: a gamification approach. In the Handbook of Human Computation (pp. 803-815). Springer New York, 2013.

  • Sanfilippo, A., Bell, E., Corley, C. Current Trends in the Detection of Sociocultural Signatures: Data-Driven Models. In Egeth, J.E., Klein, G.L., and Schmorrow, D. (Eds.) Sociocultural Behavior Sensemaking: State of the Art in Understanding the Operational Environment. McLean, VA: The MITRE Corporation. 2014.

  • Sanfilippo, A., Dowling, C., Abbar, S. Do International Students Displace U.S. Students in the Pursuit of Higher Degrees in Science and Engineering? A Prospective Analysis. Higher Education Policy, Palgrave, Macmillan, doi:10.1057/hep.2016.2, 2016.

  • Sanfilippo, A. & Pederson, L. Impacts of PV Adoption in Qatar on Natural Gas Exports to the Far East. In Lester, L. & Efird, B. (eds.) Energy Relations and Policy Making in Asia: The benefits of mutual interdependence, Palgrave Macmillan, ISBN: 978-981-10-1093-4/978-981-10-1094-1, DOI: 10.1007/978-981-10-1094-1, 2016.

  • Sanfilippo, A., Martin-Pomares, L., Mohandes, N., Perez-Astudillo, D., and Bachour, D. An Adaptive Multi-Modeling Approach to Solar Nowcasting. Solar Energy, 125, 77-85, 2016.

  • Martín-Pomares, L., Martínez, D., Polo, J., Perez-Astudillo, D., Bachour, D., & Sanfilippo, A.; Analysis of the long-term solar potential for electricity generation in Qatar; Renewable and Sustainable Energy Reviews; 2017, 73, 1231-1246, 2017.

  • Refaat, Shady S, Haitham Abu-Rub, Antonio Sanfilippo, Amira Mohamed; Impact of Grid-Tied Large-Scale Photovoltaic System on Dynamic Voltage Stability of Electric Power Grids; IET Renewable Power Generation Journal; 12:2, pp. 157—164, 2018.

  • Moiz Bohra, Nasreddine El Dehaibi, Antonio Sanfilippo, Marwan Khraisheh. Potential Impacts of Solar Energy Integration on Fuel-Mix Strategies in Qatar. In Hisham Akhonbay (ed.) The Economics of Renewable Energy in the Gulf Book. Routledge, 2018.

  • Ameni Boumaiza, Sofiane Abbar, Nassma Mohandes, Antonio Sanfilippo. Modeling the Impact of Innovation Diffusion on Solar PV Adoption in City Neighborhoods. International Journal of Renewable Energy Research, Vol 8, No 3, 2018.

  • Nassma Mohandes, Antonio Sanfilippo and Marwa Al Fakhri. Modeling Residential Adoption of Solar Energy in the Arabian Gulf Region. Renewable Energy, Elsevier, Volume 131, February 2019, Pages 381-389, 2019.

  • Jesús Polo, Luis Martín Pomares, Antonio Sanfilippo (eds.) Solar Resources Mapping – Fundamentals and Applications. Springer, ISBN 978-3-319-97484-2, 2019.

  • Abdullah A. Jabbar, Ali El Rayyah, Mohd Zamri Che Wanik, Antonio Sanfilippo, Nand Singh. Development of Hybrid AC/DC Laboratory-scale Smart Microgrid Testbed with Control & Monitoring System Implementation in LabVIEW, Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies – Asia, Chengdu, China, May 21-24, 2019.

  • N. K. Singh, M.Z.C. Wanik, A. A. Jabbar, A. Sanfilippo (2019) Enhancing PV hosting Capacity of a Qatar Remote Farm Network using Inverters Ability to Regulate Reactive Power – a Case Study, Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, Bucharest, Romania from September 29 to October 2, 2019.

  • Mohd Zamri Che Wanik, Antonio Sanfilippo, Nand Singh, Abdullah Jabbar, Zhaohui Cen, “PMU Analytics for Power Fault Awareness and Prediction”, 2019 GCC CIGRE Power Conference & Exhibition, 27-29 Oct 2019, Muscat, Oman.

  • Usman Zafar, Sertac Bayhan, Antonio Sanfilippo, Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid. IEEE Access, DOI: 10.1109/ACCESS.2020.3005244, 2020.

  • Boumaiza A., Sanfilippo A., Nassma Mohandes, “Modeling Multi-Criteria Decision Analysis in Residential PV Adoption”, Energy Strategy Reviews, Elsevier, Volume 39, January 2022, https://doi.org/10.1016/j.esr.2021.100789, 2021.
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