Mark S. Squillante
Professional AssociationsProfessional Associations: ACM Fellow | ACM SIGCOMM | ACM SIGMETRICS | ACM SIGSIM | American Association for the Advancement of Science (AAAS) | American Mathematical Society (AMS) | Asia-Pacific Artificial Intelligence Association (AAIA) Fellow | Bernoulli Society for Mathematical Statistics and Probability | DIMACS | Fellow, IEEE | IEEE Communications Society | IEEE Computer Society | IEEE Control Systems Society | IFIP WG 7.3 | INFORMS Applied Probability Society | INFORMS Fellow | INFORMS Manufacturing and Service Operations Management Society | INFORMS Optimization Society | Institute of Mathematical Statistics | SIAM Control and Systems Theory Activity Group | SIAM Optimization Activity Group | Society for Industrial and Applied Mathematics
I am a Distinguished Research Staff Member and the Manager of Foundations of Probability, Dynamics and Control within Mathematical Sciences of IBM Research at the Thomas J. Watson Research Center (Yorktown Heights, NY). I also served as Director of the Center for Optimization under Uncertainty Research across IBM Research. I received a Ph.D. degree from the University of Washington (Seattle, WA). I have been an 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), and a Member of the Technical Staff at Bell Telephone Laboratories (Murray Hill, NJ). I have also held visiting positions at various academic institutions.
My research interests broadly concern mathematical foundations of the analysis, modeling and optimization of the design and control of complex systems under uncertainty, including stochastic processes, probability theory, stochastic networks, stochastic optimization, stochastic optimal control, mathematical statistics, stochastic analysis, dynamical systems, optimal transport, graph theory, information theory, mathematics of AI, queueing theory, algorithms, computational mathematics, and stochastic resource allocation/scheduling, as well as their extensive applications in the areas of decision making under uncertainty, data analytics, quantum computing, financial analytics, business analytics and optimization, cybersecurity, health analytics, smarter planet technologies, smart energy/grid technologies, smarter workforce/salesforce, social media analytics, data-centric and cloud computing, computer systems, communication networks and mobile devices, revenue and risk management, and manufacturing and service operations management.
I am an elected Fellow of INFORMS, ACM, IEEE and AAIA, and the author of more than 300 technical publications and more than 70 issued/filed patents and disclosures. My work has been recognized through The 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, 17 keynote/plenary presentations, 27 major IBM technical awards, and 40 IBM invention awards. I am a member of AAAS, AMS, Bernoulli Society for Mathematical Statistics and Probability, DIMACS, IMS, IFIP WG 7.3 (elected), and SIAM, also being elected to serve as Chair of IFIP WG 7.3 and as Chair of the Computer Performance Foundation. I currently serve as Editor-in-Chief of Stochastic Models and have served or currently serve on the editorial boards of Operations Research, Performance Evaluation, and Transactions on Modeling and Performance Evaluation of Computing Systems; and I have also chaired/organized several international conferences in stochastic processes, applied probability, stochastic optimization/control and related applications.
Projects and Groups
- Algorithms and Theory
- Cloud Software
- Computational Biology
- Computer Systems Design
- Computer Vision & Multimedia
- Health Informatics
- Human Computer Interaction and Data Visualization
- Internet of Things
- Knowledge Discovery and Data Mining
- Mobile Computing
- Operations Research
- Performance Modeling and Analysis
- Quantum Computing
- Security and Privacy