Soha Hassoun: Difference between revisions
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{{short description|American computer scientist}} |
{{short description|American computer scientist}} |
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{{more citations needed|date=March 2020}} |
{{more citations needed|date=March 2020}}{{Infobox scientist |
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| fields = [[Machine learning]] and |
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[[systems biology]] |
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| workplaces = [[Tufts University]] |
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| alma_mater = [[South Dakota State University]] (BSEE) |
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[[Massachusetts Institute of Technology]] (MS) |
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[[University of Washington]] (PhD) |
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| website = https://www.cs.tufts.edu/~soha/ |
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}} |
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'''Soha Hassoun''' is American computer scientist. She is Professor (since 2015) and Past Chair (2013–2016) of the Department of Computer Science at [[Tufts University]]. Hassoun's interests lie at the intersection of [[machine learning]] and [[systems biology]].<ref>{{Cite web|title=Enzyme promiscuity prediction using hierarchy-informed multi-label classification|url=https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab054/6124277|url-status=live}}</ref><ref>{{Cite web|title=Learning graph representations of biochemical networks and its application to enzymatic link prediction|url=https://academic.oup.com/bioinformatics/article/37/6/793/5922818|url-status=live}}</ref><ref>{{Cite journal|last=Hosseini|first=Ramtin|last2=Hassanpour|first2=Neda|last3=Liu|first3=Li-Ping|last4=Hassoun|first4=Soha|date=May 2020|title=Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling|url=https://www.mdpi.com/2218-1989/10/5/183|journal=Metabolites|language=en|volume=10|issue=5|pages=183|doi=10.3390/metabo10050183}}</ref><ref>{{Cite journal|last=Liu|first=Linfeng|last2=Hughes|first2=Michael C.|last3=Hassoun|first3=Soha|last4=Liu|first4=Liping|date=2021-07-01|title=Stochastic Iterative Graph Matching|url=http://proceedings.mlr.press/v139/liu21i.html|journal=International Conference on Machine Learning|language=en|publisher=PMLR|pages=6815–6825}}</ref> |
'''Soha Hassoun''' is American computer scientist. She is Professor (since 2015) and Past Chair (2013–2016) of the Department of Computer Science at [[Tufts University]]. Hassoun's interests lie at the intersection of [[machine learning]] and [[systems biology]].<ref>{{Cite web|title=Enzyme promiscuity prediction using hierarchy-informed multi-label classification|url=https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btab054/6124277|url-status=live}}</ref><ref>{{Cite web|title=Learning graph representations of biochemical networks and its application to enzymatic link prediction|url=https://academic.oup.com/bioinformatics/article/37/6/793/5922818|url-status=live}}</ref><ref>{{Cite journal|last=Hosseini|first=Ramtin|last2=Hassanpour|first2=Neda|last3=Liu|first3=Li-Ping|last4=Hassoun|first4=Soha|date=May 2020|title=Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling|url=https://www.mdpi.com/2218-1989/10/5/183|journal=Metabolites|language=en|volume=10|issue=5|pages=183|doi=10.3390/metabo10050183}}</ref><ref>{{Cite journal|last=Liu|first=Linfeng|last2=Hughes|first2=Michael C.|last3=Hassoun|first3=Soha|last4=Liu|first4=Liping|date=2021-07-01|title=Stochastic Iterative Graph Matching|url=http://proceedings.mlr.press/v139/liu21i.html|journal=International Conference on Machine Learning|language=en|publisher=PMLR|pages=6815–6825}}</ref> |
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Revision as of 15:33, 17 July 2021
This article needs additional citations for verification. (March 2020) |
Soha Hassoun | |
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Alma mater | South Dakota State University (BSEE)
Massachusetts Institute of Technology (MS) University of Washington (PhD) |
Scientific career | |
Fields | Machine learning and systems biology |
Institutions | Tufts University |
Website | https://www.cs.tufts.edu/~soha/ |
Soha Hassoun is American computer scientist. She is Professor (since 2015) and Past Chair (2013–2016) of the Department of Computer Science at Tufts University. Hassoun's interests lie at the intersection of machine learning and systems biology.[1][2][3][4]
Hassoun earned her BSEE degree from the South Dakota State University (1986), MS from the Massachusetts Institute of Technology (1988), and PhD from the Department of Computer Science and Engineering, University of Washington (1997).[5]
In 1988–1991 Hassoun was an integrated circuit designer with the Microprocessor Design Group, Digital Equipment Corporation. She worked as consultant for IKOS Systems (now part of Mentor Graphics) (1999–2001) and some other EDA companies. Since 1998 she has been with Tufts University.[6]
Awards and recognition
- 2016: Marie R. Pistilli Women in Engineering Achievement Award[7]
- 2015: IEEE CEDA (Council on Electronic Design Automation) Distinguished Service Award for chairing the Design Automation Conference
- 2000, 2007: ACM/SIGDA Distinguished Service Award[8]
- 2002: ACM/SIGDA Technical Leadership Award[8]
- Senior member of IEEE (2007) and ACM[5]
- 2001–2006: NSF CAREER Award[9]
References
- ^ "Enzyme promiscuity prediction using hierarchy-informed multi-label classification".
{{cite web}}
: CS1 maint: url-status (link) - ^ "Learning graph representations of biochemical networks and its application to enzymatic link prediction".
{{cite web}}
: CS1 maint: url-status (link) - ^ Hosseini, Ramtin; Hassanpour, Neda; Liu, Li-Ping; Hassoun, Soha (May 2020). "Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling". Metabolites. 10 (5): 183. doi:10.3390/metabo10050183.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ Liu, Linfeng; Hughes, Michael C.; Hassoun, Soha; Liu, Liping (2021-07-01). "Stochastic Iterative Graph Matching". International Conference on Machine Learning. PMLR: 6815–6825.
- ^ a b Soha Hassoun webpage @ Tufts
- ^ "Soha Hassoun". Department of Electrical and Computer Engineering. 2019-02-15. Retrieved 2021-07-15.
- ^ "Soha Hassoun to Receive Marie R. Pistilli Women in EDA Achievement Award". www.businesswire.com. 2016-04-25. Retrieved 2021-07-15.
- ^ a b "Service Awards | SIGDA". sigda.org. Retrieved 2021-07-15.
- ^ "NSF Award Search: Award # 0093324 - CAREER: Tools for Designing and Integrating Configurable Components". www.nsf.gov. Retrieved 2021-07-15.