Algorithms & Optimization

Organizations today are constantly being disrupted by new technology advancements, newer business models, and competitive threats. In order to stay ahead of the curve, businesses need to adopt an agile and focused approach to optimize business decisions, while staying customer centered. At the same time, faster computing power means that complex decision problems can be solved at a much faster rate. The mission of the algorithms and optimization area is to build the next generation of algorithmic techniques for quickly analyzing volumes of data, simplifying the decision making process, optimizing costs, and improving ROI.

The algorithms and optimization team consists of researchers with strong technical expertise across a variety of multidisciplinary topics including graph theory, stochastic optimization, approximation and randomized algorithms, game theory and mechanism design, queueing theory, system design, and performance modeling. Collectively, these skills converge to build an emerging competency in operations research and service science, which are well aligned with Conduent's target problem domains such as Transportation and Urban Mobility, Healthcare, Customer Care, and Human Resource Services.

Featured Publications

  • Atul Singh, Rajasubramaniam Thangaraj, Gurulingesh Raravi, Koyel Mukherjee, Partha Dutta and Koustuv Dasgupta. Training assignment service (TRANS) to meet organization level skill need. in 19th International Conference on Business Information Systems, (Leipzig, Germany, 2016), Springer International Publishing, 411–423.
  • Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward and Adam Wierman. Routing and staffing when servers are strategic. Operations Research, 64(4), 1033–1050.
  • Arpita Biswas, Ragavendran Gopalakrishnan and Partha Dutta. Managing overstaying electric vehicles in park-and-charge facilities. in 25th International Joint Conference on Artificial Intelligence, (New York, NY, USA, 2016), IJCAI/AAAI Press, 2465–2471.
  • Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta and Abhishek Tripathi. Demand prediction and placement optimization for electric vehicle charging stations. in 25th International Joint Conference on Artificial Intelligence, (New York, NY, USA, 2016), IJCAI/AAAI Press, 3117–3123.
  • Theja Tulabandhula and Narendra Annamaneni. Optimal automated booking of on-demand transportation in multi-modal journeys. in 23rd World Congress on Intelligent Transportation Systems, (Melbourne, Australia, 2016). Distinguished Scientific Paper Award.

View More