Biography:Aleksandra Mojsilovic

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Short description: Serbian engineer
Aleksandra Mojsilovic
AI for Good Global Summit 2018 (41413551164).jpg
Mojsilovic in 2018
Born
Belgrade, Serbia
EducationUniversity of Belgrade
EmployerIBM Research
Known forMultidimensional signal processing, computer vision, AI for social good, AI ethics

Aleksandra (Saška) Mojsilović (born 1968) is a Serbian-American scientist. Her research interests are artificial intelligence, data science, and signal processing. She is known for innovative applications of machine learning to diverse societal and business problems. Her current research focuses on issues of fairness, accountability, transparency, and ethics in AI. Mojsilović currently leads Trustworthy AI at IBM Research and is a co-director of IBM Science for Social Good.[1] She is an IBM Fellow[2] and IEEE Fellow.[3]

Education and career

Mojsilović was born in Belgrade, Serbia. She received her PhD in Electrical Engineering in 1997 from the University of Belgrade, Belgrade, Serbia. From 1997 to 1998, she was an assistant professor at the University of Belgrade. From 1998 to 2000, she was a Member of Technical Staff at the Bell Laboratories, Murray Hill, New Jersey. She was at IBM Research from 2000-2023. She is currently employed at Google as their Senior Director, Responsible AI. [4]

Research

Mojsilović's research interests include artificial intelligence, machine learning, multi-dimensional signal processing, and data science. She has applied her expertise to diverse application areas, including computer vision,[5][6][7] multimedia,[8] recommender systems,[9][10] medical diagnostics,[11][12] healthcare,[13] IT operations,[14] business analytics,[15] workforce analytics,[16] drug discovery,[17] disease ecology,[18] and most recently, COVID-19 response.[19][20] A substantial part of her research is focused on development of ethical, responsible, and beneficial AI systems. In 2015, with Kush Varshney, she created IBM Science for Social Good initiative as a way to promote and direct AI research and development towards applications that benefit humanity.[21][22] She was among the first researchers to call for transparent reporting on the development and deployment of AI models and systems.[23][24]

Mojsilović currently leads Trustworthy AI team in IBM Research. The team has created leading open source[25][26][27] and product capabilities[28][29][30][31] in support of fair, explainable, robust, transparent, and responsible AI. Most notable contributions include: AI Fairness 360,[25][32] a toolkit for mitigating bias in machine learning models, AI Explainability 360,[26][33] a toolkit for supporting explanations in AI models, and AI FactSheets 360,[34] an open research effort to foster trust in AI by increasing transparency and enabling governance.

Awards and recognition

  • IEEE Young Author Best Paper Award (2001)[35]
  • European Conference on Computer Vision Best Paper Award (2002)[36]
  • Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research (2010)[37]
  • IBM Fellow (2014)[38]
  • IEEE Fellow (2017)[39]
  • Computing Community Consortium and Schmidt Futures AI for Good Award (2019)[40]
  • Belfer Center’s Technology and Public Purpose Project Spotlights Outstanding Technologies for Public Good (2020)[41]
  • 100 Brilliant Women in AI Ethics (2020)[42]
  • Tech Spotlight (2021)[43]

Personal

Mojsilović is the creator of the award-winning food blog Three Little Halves, which blends her love of food, photography, and writing.[44] She was nominated for the James Beard Award[45] and received the International Association of Culinary Professionals Award.[46]

Mojsilović serves on the Board of Directors of Neighborhood Trust Financial Partners, which provides financial literacy and economic empowerment training to low-income individuals.[47]

She lives in New York City with her husband and daughter.

References

  1. ↑ "Aleksandra Mojsilovic - IBM" (in en-US). 2016-07-25. https://researcher.watson.ibm.com/researcher/view.php?person=us-aleksand. 
  2. ↑ "IBM - IBM Fellows" (in en-US). 2012-01-30. https://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/directory/. 
  3. ↑ "IEEE Fellows Directory - Member Profile". https://services27.ieee.org/fellowsdirectory/getdetailprofile.html?custNum=RczzdH6azkiZ3fAHfTvG/w==&bccaptions=Search%20Results&bclocations=/fellowsdirectory/keywordsearch.html?keyword=mojsilovic. 
  4. ↑ "Aleksandra Mojsilovic - IBM" (in en-US). 2016-07-25. https://researcher.watson.ibm.com/researcher/view.php?person=us-aleksand. 
  5. ↑ Mojsilovic, A.; Rogowitz, B. (October 2001). "Capturing image semantics with low-level descriptors". Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). 1. pp. 18–21 vol.1. doi:10.1109/ICIP.2001.958942. ISBN 0-7803-6725-1. https://ieeexplore.ieee.org/document/958942. 
  6. ↑ Mojsilovic, A.; Popovic, M. V.; Rackov, D. M. (December 2000). "On the selection of an optimal wavelet basis for texture characterization". IEEE Transactions on Image Processing 9 (12): 2043–2050. doi:10.1109/83.887972. ISSN 1941-0042. PMID 18262942. Bibcode: 2000ITIP....9.2043R. https://ieeexplore.ieee.org/document/887972. 
  7. ↑ Junqing Chen; Pappas, T. N.; Mojsilovic, A.; Rogowitz, B. E. (October 2005). "Adaptive perceptual color-texture image segmentation". IEEE Transactions on Image Processing 14 (10): 1524–1536. doi:10.1109/TIP.2005.852204. ISSN 1941-0042. PMID 16238058. Bibcode: 2005ITIP...14.1524C. https://ieeexplore.ieee.org/document/1510687. 
  8. ↑ Mojsilovic, A.; Kovacevic, J.; Jianying Hu; Safranek, R. J.; Ganapathy, S. K. (January 2000). "Matching and retrieval based on the vocabulary and grammar of color patterns". IEEE Transactions on Image Processing 9 (1): 38–54. doi:10.1109/83.817597. ISSN 1941-0042. PMID 18255371. Bibcode: 2000ITIP....9...38M. https://ieeexplore.ieee.org/document/817597. 
  9. ↑ Sindhwani, V.; Bucak, S. S.; Hu, J.; Mojsilovic, A., A Family of Non-negative Matrix Factorizations for One-Class Collaborative Filtering Problems 
  10. ↑ Varshney, Kush; Wang, Jun; Mojsilović, Aleksandra; Fang, Dongping; Bauer, John (2013). "Predicting and Recommending Skills in the Social Enterprise" (in en). Proceedings of the International AAAI Conference on Web and Social Media 7 (3): 20–23. doi:10.1609/icwsm.v7i3.14474. ISSN 2334-0770. https://ojs.aaai.org/index.php/ICWSM/article/view/14474. 
  11. ↑ Mojsilović, Aleksandra; Popović, Miodrag; Amodaj, Nenad; Babić, Rade; Ostojić, Miodrag (1997-11-01). "Automatic segmentation of intravascular ultrasound images: A texture-based approach" (in en). Annals of Biomedical Engineering 25 (6): 1059–1071. doi:10.1007/BF02648131. ISSN 1573-9686. PMID 9395051. https://doi.org/10.1007/BF02648131. 
  12. ↑ Nesković, Aleksandar N.; Mojsilović, Aleksandra; Jovanović, Tomislav; Vasiljević, Jovan; Popović, Miodrag; Marinković, Jelena; Bojić, Milovan; Popović, Aleksandar D. (1998-08-18). "Myocardial Tissue Characterization After Acute Myocardial Infarction With Wavelet Image Decomposition". Circulation 98 (7): 634–641. doi:10.1161/01.CIR.98.7.634. PMID 9715855. 
  13. ↑ Yuen-Reed, Gigi; Mojsilović, Aleksandra (2016), Weaver, Charlotte A.; Ball, Marion J.; Kim, George R. et al., eds., "The Role of Big Data and Analytics in Health Payer Transformation to Consumer-Centricity" (in en), Healthcare Information Management Systems: Cases, Strategies, and Solutions, Health Informatics (Cham: Springer International Publishing): pp. 399–420, doi:10.1007/978-3-319-20765-0_23, ISBN 978-3-319-20765-0, https://doi.org/10.1007/978-3-319-20765-0_23, retrieved 2021-11-28 
  14. ↑ Mojsilović, Aleksandra; Ray, Bonnie; Lawrence, Richard; Takriti, Samer (2007-12-01). "A logistic regression framework for information technology outsourcing lifecycle management" (in en). Computers & Operations Research. Operations Research and Outsourcing 34 (12): 3609–3627. doi:10.1016/j.cor.2006.01.018. ISSN 0305-0548. https://www.sciencedirect.com/science/article/pii/S0305054806000219. 
  15. ↑ Varshney, Kush; Mojsilović, Aleksandra (September 2011). "Business Analytics Based on Financial Time Series". IEEE Signal Processing Magazine 28 (5): 83–93. doi:10.1109/msp.2011.941554. ISSN 1053-5888. Bibcode: 2011ISPM...28...83V. http://dx.doi.org/10.1109/msp.2011.941554. 
  16. ↑ "IEEE VIS 2013" (in en). http://ieeevis.org/year/2013/info/overview-amp-topics/industry-and-government-posters. 
  17. ↑ Das, Payel; Sercu, Tom; Wadhawan, Kahini; Padhi, Inkit; Gehrmann, Sebastian; Cipcigan, Flaviu; Chenthamarakshan, Vijil; Strobelt, Hendrik et al. (June 2021). "Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations" (in en). Nature Biomedical Engineering 5 (6): 613–623. doi:10.1038/s41551-021-00689-x. ISSN 2157-846X. PMID 33707779. https://www.nature.com/articles/s41551-021-00689-x. 
  18. ↑ Han, Barbara A.; Majumdar, Subhabrata; Calmon, Flavio P.; Glicksberg, Benjamin S.; Horesh, Raya; Kumar, Abhishek; Perer, Adam; von Marschall, Elisa B. et al. (2019-06-01). "Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates" (in en). Epidemics 27: 59–65. doi:10.1016/j.epidem.2019.01.005. ISSN 1755-4365. PMID 30902616. 
  19. ↑ "CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models - AMiner". https://www.aminer.org/pub/5f0747a49e795e1a9f4ad5bd/cogmol-target-specific-and-selective-drug-design-for-covid-using-deep-generative. 
  20. ↑ "Accelerate discovery" (in en). https://covid19-mol.mybluemix.net/. 
  21. ↑ "Data science for a better world" (in en-US). 2016-01-21. https://www.ibm.com/blogs/research/2016/01/data-science-for-a-better-world/. 
  22. ↑ casper. "Network Spotlight: Kush Varshney and Aleksandra Mojsilović, IBM" (in en-US). https://www.launch.org/news/network-spotlight-kush-varshney-and-aleksandra-mojsilovic-ibm/. 
  23. ↑ Arnold, Matthew; Bellamy, Rachel K. E.; Hind, Michael; Houde, Stephanie; Mehta, Sameep; Mojsilovic, Aleksandra; Nair, Ravi; Ramamurthy, Karthikeyan Natesan; Reimer, Darrell; Olteanu, Alexandra; Piorkowski, David (2018-08-22). "FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity". arXiv:1808.07261 [cs.CY].
  24. ↑ "We need to build AI systems we can trust" (in en-GB). 2018-10-07. https://qrius.com/we-need-to-build-ai-systems-we-can-trust/. 
  25. ↑ 25.0 25.1 "AI Fairness 360". https://aif360.mybluemix.net/. 
  26. ↑ 26.0 26.1 "AI Explainability 360". https://aix360.mybluemix.net/. 
  27. ↑ "Uncertainty Quantification 360". https://uq360.mybluemix.net/. 
  28. ↑ "IBM announces cloud service to help businesses detect and mitigate AI bias" (in en-US). 2018-09-19. https://venturebeat.com/2018/09/19/ibm-announces-cloud-service-to-help-businesses-detect-and-mitigate-ai-bias/. 
  29. ↑ "Trust and Transparency for AI on the IBM Cloud - IBM Research" (in en-US). 2018-09-19. https://www.ibm.com/blogs/research/2018/09/trust-transparency/. 
  30. ↑ Proffitt, Allison (2021-01-07). "IBM Advances Watson Family Including AI FactSheets at AI Summit" (in en-US). https://www.aitrends.com/ai-in-business/ibm-advances-watson-family-including-ai-factsheets-at-ai-summit/. 
  31. ↑ "IBM launches tool aimed at detecting AI bias" (in en-GB). BBC News. 2018-09-19. https://www.bbc.com/news/technology-45561955. 
  32. ↑ Bellamy, Rachel K. E.; Dey, Kuntal; Hind, Michael; Hoffman, Samuel C.; Houde, Stephanie; Kannan, Kalapriya; Lohia, Pranay; Martino, Jacquelyn; Mehta, Sameep; Mojsilovic, Aleksandra; Nagar, Seema (2018-10-03). "AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias". arXiv:1810.01943 [cs.AI].
  33. ↑ Arya, Vijay; Bellamy, Rachel K. E.; Chen, Pin-Yu; Dhurandhar, Amit; Hind, Michael; Hoffman, Samuel C.; Houde, Stephanie; Liao, Q. Vera; Luss, Ronny; Mojsilović, Aleksandra; Mourad, Sami (2019-09-14). "One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques". arXiv:1909.03012 [cs.AI].
  34. ↑ "AI FactSheets 360". https://aifs360.mybluemix.net/. 
  35. ↑ "The IEEE Communications Society Young Author Best Paper Award | IEEE Communications Society". https://www.comsoc.org/about/awards/paper-awards/ieee-communications-society-young-author-best-paper-award. 
  36. ↑ "ICCV, ECCV and CVPR Best Paper Awards". https://personalpages.manchester.ac.uk/staff/timothy.f.cootes/CVPeople/prize_papers.html. 
  37. ↑ INFORMS. "Aleksandra Mojsilovic" (in en-US). https://www.informs.org/Recognizing-Excellence/Award-Recipients/Aleksandra-Mojsilovic. 
  38. ↑ "IBM Fellows - United States" (in en-US). 2017-04-13. http://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/. 
  39. ↑ "SPS Fellows and Award Winners Recognized [Society News"]. IEEE Signal Processing Magazine 34 (2): 7–10. March 2017. doi:10.1109/MSP.2016.2642407. ISSN 1558-0792. Bibcode: 2017ISPM...34....7.. https://ieeexplore.ieee.org/document/7870768. 
  40. ↑ "CS for Social Good Award Announcement! » CCC Blog" (in en-US). 2019-09-18. https://cccblog.org/2019/09/18/cs-for-social-good-award-announcement/. 
  41. ↑ "Belfer Center's Technology and Public Purpose Project Spotlights Outstanding Technologies for Public Good" (in en). https://www.belfercenter.org/publication/belfer-centers-technology-and-public-purpose-project-spotlights-outstanding. 
  42. ↑ "2020" (in en-US). https://100brilliantwomeninaiethics.com/the-list/of-2020/. 
  43. ↑ "Tech Spotlight" (in en). https://hks-spotlight.netlify.app/ceremonies/2021. 
  44. ↑ "Aleksandra Mojsilovic" (in en-US). https://www.compasstalent.com/aleksandra-mojsilovic. 
  45. ↑ "The Complete 2015 JBF Award Nominees | James Beard Foundation" (in en). https://www.jamesbeard.org/blog/complete-2015-jbf-award-nominees. 
  46. ↑ Galarza, Daniela (2016-04-04). "IACP Announces Cookbook, Food Writing, Photography, and Blog Winners for 2016" (in en). https://www.eater.com/2016/4/4/11362036/iacp-culinary-award-winners-2016. 
  47. ↑ Siroc, Alexis. "Our Team" (in en-US). https://neighborhoodtrust.org/who-we-are/meet-our-team/. 



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