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Aleksandra Mojsilovic

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]

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

Education and career edit

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 edit

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 edit

Personal edit

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 edit

  1. ^ "IBM - IBM Fellows". www.ibm.com. 2012-01-30. Retrieved 2021-11-28.
  2. ^ "IEEE Fellows Directory - Member Profile". services27.ieee.org. 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 . 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.

aleksandra, mojsilovic, aleksandra, saška, mojsilović, born, 1968, serbian, american, scientist, research, interests, artificial, intelligence, data, science, signal, processing, known, innovative, applications, machine, learning, diverse, societal, business, . Aleksandra Saska Mojsilovic 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 Aleksandra MojsilovicMojsilovic in 2018BornBelgrade SerbiaEducationUniversity of BelgradeEmployerIBM ResearchKnown forMultidimensional signal processing computer vision AI for social good AI ethics Contents 1 Education and career 2 Research 3 Awards and recognition 4 Personal 5 ReferencesEducation and career editMojsilovic 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 editMojsilovic 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 editIEEE 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 editMojsilovic 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 Mojsilovic 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 edit IBM IBM Fellows www ibm com 2012 01 30 Retrieved 2021 11 28 IEEE Fellows Directory Member Profile services27 ieee org Retrieved 2021 11 28 Aleksandra Mojsilovic IBM researcher watson ibm com 2016 07 25 Retrieved 2020 11 27 Aleksandra Mojsilovic IBM researcher watson ibm com 2016 07 25 Retrieved 2021 11 28 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 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 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 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 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 Varshney Kush Wang Jun Mojsilovic 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 Mojsilovic Aleksandra Popovic Miodrag Amodaj Nenad Babic Rade Ostojic 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 Neskovic Aleksandar N Mojsilovic Aleksandra Jovanovic Tomislav Vasiljevic Jovan Popovic Miodrag Marinkovic Jelena Bojic Milovan Popovic 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 Yuen Reed Gigi Mojsilovic 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 Mojsilovic Aleksandra Ray Bonnie Lawrence Richard Takriti Samer 2007 12 01 A logistic regression framework for information technology outsourcing lifecycle management Computers amp Operations Research Operations Research and Outsourcing 34 12 3609 3627 doi 10 1016 j cor 2006 01 018 ISSN 0305 0548 Varshney Kush Mojsilovic 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 IEEE VIS 2013 ieeevis org Retrieved 2020 11 27 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 Han Barbara A Majumdar Subhabrata Calmon Flavio P Glicksberg Benjamin S Horesh Raya Kumar Abhishek Perer Adam von Marschall Elisa B Wei Dennis Mojsilovic 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 CogMol Target Specific and Selective Drug Design for COVID 19 Using Deep Generative Models AMiner www aminer org Retrieved 2020 11 27 Accelerate discovery covid19 mol mybluemix net Retrieved 2021 11 28 Data science for a better world IBM Research Blog 2016 01 21 Retrieved 2021 11 28 casper Network Spotlight Kush Varshney and Aleksandra Mojsilovic IBM LAUNCH Retrieved 2021 11 28 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 We need to build AI systems we can trust Qrius 2018 10 07 Retrieved 2021 11 28 a b AI Fairness 360 aif360 mybluemix net Archived from the original on 2022 06 29 Retrieved 2021 11 28 a b AI Explainability 360 aix360 mybluemix net Retrieved 2021 11 28 Uncertainty Quantification 360 uq360 mybluemix net Retrieved 2021 11 28 IBM announces cloud service to help businesses detect and mitigate AI bias VentureBeat 2018 09 19 Retrieved 2021 11 28 Trust and Transparency for AI on the IBM Cloud IBM Research IBM Research Blog 2018 09 19 Retrieved 2021 11 28 Proffitt Allison 2021 01 07 IBM Advances Watson Family Including AI FactSheets at AI Summit AI Trends Retrieved 2021 11 28 IBM launches tool aimed at detecting AI bias BBC News 2018 09 19 Retrieved 2021 11 28 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 Arya Vijay Bellamy Rachel K E Chen Pin Yu Dhurandhar Amit Hind Michael Hoffman Samuel C Houde Stephanie Liao Q Vera Luss Ronny Mojsilovic 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 AI FactSheets 360 aifs360 mybluemix net Retrieved 2021 11 28 The IEEE Communications Society Young Author Best Paper Award IEEE Communications Society www comsoc org Retrieved 2020 11 27 ICCV ECCV and CVPR Best Paper Awards personalpages manchester ac uk Retrieved 2021 11 28 INFORMS Aleksandra Mojsilovic INFORMS Retrieved 2021 11 28 IBM Fellows United States www ibm com 2017 04 13 Retrieved 2021 11 28 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 CS for Social Good Award Announcement CCC Blog 2019 09 18 Retrieved 2021 11 28 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 2020 100 Brilliant Women in AI Ethics Retrieved 2021 11 28 Tech Spotlight hks spotlight netlify app Retrieved 2021 11 28 Aleksandra Mojsilovic Compass Talent Retrieved 2021 11 29 The Complete 2015 JBF Award Nominees James Beard Foundation www jamesbeard org Retrieved 2021 11 29 Galarza Daniela 2016 04 04 IACP Announces Cookbook Food Writing Photography and Blog Winners for 2016 Eater Retrieved 2021 11 29 Siroc Alexis Our Team Neighborhood Trust Financial Partners Retrieved 2021 11 29 Retrieved from https en wikipedia org w index php title Aleksandra Mojsilovic amp oldid 1221785858, wikipedia, wiki, book, books, library,

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