Scholar
Mark S. Squillante
Google Scholar ID: ScmX2AcAAAAJ
Mathematical Sciences Department, IBM Research
Citations & Impact
Citations
1,377
H-index
18
i10-index
33
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Elected Fellow of SIAM, INFORMS, ACM, IEEE, AAIA and AIIA; Author of more than 300 technical publications and more than 70 issued/filed patents and disclosures; Awards include: The (Biennial) Best Publication in Applied Probability Award (INFORMS Applied Probability Society), The Daniel H. Wagner Prize (INFORMS), The Gold Stevie® Award (Sales Automation Solution), 9 best paper awards, 19 keynote/plenary presentations, 28 major IBM technical awards, and 43 IBM invention awards; Member of AAAS, AMS, AAIA (Fellow), ACM (Fellow), Bernoulli Society for Mathematical Statistics and Probability, DIMACS, IEEE (Fellow), IMS, INFORMS (Fellow), IFIP WG 7.3 (elected) and SIAM (Fellow); Served as Chair of IFIP WG 7.3 and as Chair of the Computer Performance Foundation (2014 – 2024); Editor-in-Chief of Stochastic Models and served or currently serve on the editorial/advisory boards of Operations Research, Performance Evaluation, Stochastic Models, Transactions on Modeling and Performance Evaluation of Computing Systems, Frontiers in Applied Mathematics and Statistics, Proceedings of the ACM on Measurement and Analysis of Computing Systems, and INFORMS-Springer Book Series; Board of Directors of INFORMS (Vice President of Sections and Societies) and on the Board of Directors of the American Automatic Control Council (INFORMS/APS Director); Served on the Board of Directors of ACM SIGMETRICS (1997 – 1999, 2007 – 2009, 2009 – 2011); Mentored 11 Ph.D. students and 46 postdoctoral/internship individuals; Chaired/organized numerous international conferences in stochastic processes, applied probability, stochastic optimization/control and related applications.
Research Experience
- Distinguished Research Scientist and Manager of Foundations of Probability, Dynamics, and Control within the Mathematical Sciences Department of IBM Research at the Thomas J. Watson Research Center (Yorktown Heights, NY); Director of the Center for Optimization under Uncertainty Research across IBM Research; Adjunct faculty member in the School of Operations Research and Information Engineering at Cornell Tech (New York, NY), and the School of Engineering and Applied Science at Columbia University (New York, NY); Held visiting positions at various academic institutions.
Education
- Ph.D. from the University of Washington (Seattle, WA)
Background
- Research interests broadly concern the mathematical foundations of the analysis, modeling and optimization of the design, control and performance of complex systems under uncertainty, including stochastic processes, probability theory, stochastic networks, stochastic optimization, stochastic optimal control, dynamical systems, stochastic analysis, optimal transport, robust optimization, linear algebra, stochastic matrix theory, mathematical statistics, graph theory, information theory, learning theory, queueing theory, mathematics of AI, algorithms, computational mathematics, and stochastic resource allocation/scheduling, as well as their extensive applications across areas such as decision making under uncertainty, quantum computing, business analytics and optimization, data analytics, financial analytics, cybersecurity, smarter planet technologies, smart energy/grid technologies, smarter workforce/salesforce, health analytics, social media analytics, data-centric and high-performance computing, computer systems, communication networks and mobile devices, revenue and risk management, and manufacturing and service operations management.
Co-authors