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Aleksandra Mojsilovic

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Aleksandra Mojsilovic
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. She is an IBM Fellow[1] and IEEE Fellow.[2]

Education and career

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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 to 2023. She is currently employed at Google as their senior director, Responsible AI. [3] Prior to joining Google, she led Trustworthy AI at IBM Research and served as a co-director of IBM Science for Social Good.[4]

Research

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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]

While at IBM Research she helped create 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

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Personal

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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

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  1. ^ "IBM - IBM Fellows". www.ibm.com. 2012-01-30. Retrieved 2021-11-28.
  2. ^ "IEEE Fellows Directory - Member Profile". IEEE. Retrieved 2021-11-28.
  3. ^ "Aleksandra Mojsilovic - IBM". researcher.watson.ibm.com. 2016-07-25. Retrieved 2020-11-27.
  4. ^ "Aleksandra Mojsilovic - IBM". researcher.watson.ibm.com. 2016-07-25. Retrieved 2021-11-28.
  5. ^ Mojsilovic, A.; Rogowitz, B. (October 2001). "Capturing image semantics with low-level descriptors". Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205). Vol. 1. pp. 18–21 vol.1. doi:10.1109/ICIP.2001.958942. ISBN 0-7803-6725-1. S2CID 17502035.
  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. Bibcode:2000ITIP....9.2043R. doi:10.1109/83.887972. ISSN 1941-0042. PMID 18262942.
  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. Bibcode:2005ITIP...14.1524C. doi:10.1109/TIP.2005.852204. ISSN 1941-0042. PMID 16238058. S2CID 7832450.
  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. Bibcode:2000ITIP....9...38M. doi:10.1109/83.817597. ISSN 1941-0042. PMID 18255371.
  9. ^ Sindhwani, V.; Bucak, S. S.; Hu, J.; Mojsilovic, A., A Family of Non-negative Matrix Factorizations for One-Class Collaborative Filtering Problems, CiteSeerX 10.1.1.157.1873
  10. ^ Varshney, Kush; Wang, Jun; Mojsilović, Aleksandra; Fang, Dongping; Bauer, John (2013). "Predicting and Recommending Skills in the Social Enterprise". Proceedings of the International AAAI Conference on Web and Social Media. 7 (3): 20–23. doi:10.1609/icwsm.v7i3.14474. ISSN 2334-0770. S2CID 14674178.
  11. ^ Mojsilović, Aleksandra; Popović, Miodrag; Amodaj, Nenad; Babić, Rade; Ostojić, Miodrag (1997-11-01). "Automatic segmentation of intravascular ultrasound images: A texture-based approach". Annals of Biomedical Engineering. 25 (6): 1059–1071. doi:10.1007/BF02648131. ISSN 1573-9686. PMID 9395051. S2CID 29548231.
  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.; Kiel, Joan M. (eds.), "The Role of Big Data and Analytics in Health Payer Transformation to Consumer-Centricity", 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, 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". Computers & Operations Research. Operations Research and Outsourcing. 34 (12): 3609–3627. doi:10.1016/j.cor.2006.01.018. ISSN 0305-0548.
  15. ^ Varshney, Kush; Mojsilović, Aleksandra (September 2011). "Business Analytics Based on Financial Time Series". IEEE Signal Processing Magazine. 28 (5): 83–93. Bibcode:2011ISPM...28...83V. doi:10.1109/msp.2011.941554. ISSN 1053-5888. S2CID 7934412.
  16. ^ "IEEE VIS 2013". ieeevis.org. Retrieved 2020-11-27.
  17. ^ Das, Payel; Sercu, Tom; Wadhawan, Kahini; Padhi, Inkit; Gehrmann, Sebastian; Cipcigan, Flaviu; Chenthamarakshan, Vijil; Strobelt, Hendrik; dos Santos, Cicero; Chen, Pin-Yu; Yang, Yi Yan (June 2021). "Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations". Nature Biomedical Engineering. 5 (6): 613–623. arXiv:2005.11248. doi:10.1038/s41551-021-00689-x. ISSN 2157-846X. PMID 33707779. S2CID 232209306.
  18. ^ Han, Barbara A.; Majumdar, Subhabrata; Calmon, Flavio P.; Glicksberg, Benjamin S.; Horesh, Raya; Kumar, Abhishek; Perer, Adam; von Marschall, Elisa B.; Wei, Dennis; Mojsilović, Aleksandra; Varshney, Kush R. (2019-06-01). "Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates". Epidemics. 27: 59–65. doi:10.1016/j.epidem.2019.01.005. ISSN 1755-4365. PMID 30902616. S2CID 85456711.
  19. ^ "CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models - AMiner". www.aminer.org. Retrieved 2020-11-27.
  20. ^ "Accelerate discovery". covid19-mol.mybluemix.net. Retrieved 2021-11-28.
  21. ^ "Data science for a better world". IBM Research Blog. 2016-01-21. Retrieved 2021-11-28.
  22. ^ casper. "Network Spotlight: Kush Varshney and Aleksandra Mojsilović, IBM". LAUNCH. Retrieved 2021-11-28.
  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". Qrius. 2018-10-07. Retrieved 2021-11-28.
  25. ^ a b "AI Fairness 360". aif360.mybluemix.net. Archived from the original on 2022-06-29. Retrieved 2021-11-28.
  26. ^ a b "AI Explainability 360". aix360.mybluemix.net. Retrieved 2021-11-28.
  27. ^ "Uncertainty Quantification 360". uq360.mybluemix.net. Retrieved 2021-11-28.
  28. ^ "IBM announces cloud service to help businesses detect and mitigate AI bias". VentureBeat. 2018-09-19. Retrieved 2021-11-28.
  29. ^ "Trust and Transparency for AI on the IBM Cloud - IBM Research". IBM Research Blog. 2018-09-19. Retrieved 2021-11-28.
  30. ^ Proffitt, Allison (2021-01-07). "IBM Advances Watson Family Including AI FactSheets at AI Summit". AI Trends. Retrieved 2021-11-28.
  31. ^ "IBM launches tool aimed at detecting AI bias". BBC News. 2018-09-19. Retrieved 2021-11-28.
  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". aifs360.mybluemix.net. Retrieved 2021-11-28.
  35. ^ "The IEEE Communications Society Young Author Best Paper Award | IEEE Communications Society". www.comsoc.org. Retrieved 2020-11-27.
  36. ^ "ICCV, ECCV and CVPR Best Paper Awards". personalpages.manchester.ac.uk. Retrieved 2021-11-28.
  37. ^ INFORMS. "Aleksandra Mojsilovic". INFORMS. Retrieved 2021-11-28.
  38. ^ "IBM Fellows - United States". www.ibm.com. 2017-04-13. Retrieved 2021-11-28.
  39. ^ "SPS Fellows and Award Winners Recognized [Society News]". IEEE Signal Processing Magazine. 34 (2): 7–10. March 2017. Bibcode:2017ISPM...34....7.. doi:10.1109/MSP.2016.2642407. ISSN 1558-0792.
  40. ^ "CS for Social Good Award Announcement! » CCC Blog". 2019-09-18. Retrieved 2021-11-28.
  41. ^ "Belfer Center's Technology and Public Purpose Project Spotlights Outstanding Technologies for Public Good". Belfer Center for Science and International Affairs. Retrieved 2021-11-28.
  42. ^ "2020". 100 Brilliant Women in AI Ethics™. Retrieved 2021-11-28.
  43. ^ "Tech Spotlight". hks-spotlight.netlify.app. Retrieved 2021-11-28.
  44. ^ "Aleksandra Mojsilovic". Compass Talent. Retrieved 2021-11-29.
  45. ^ "The Complete 2015 JBF Award Nominees | James Beard Foundation". www.jamesbeard.org. Retrieved 2021-11-29.
  46. ^ Galarza, Daniela (2016-04-04). "IACP Announces Cookbook, Food Writing, Photography, and Blog Winners for 2016". Eater. Retrieved 2021-11-29.
  47. ^ Siroc, Alexis. "Our Team". Neighborhood Trust Financial Partners. Retrieved 2021-11-29.
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