Papers

• From Labels to Decisions: A Mapping-Aware Annotator Model
  E. Yao, J. Ramakrishnan, X. Chen, V. Nguyen, U. Weinsberg
  KDD 2023, Applied Data Science Track, oral presentation
  [code] [Acceptance rate = 25% (184/725)]
• Crowdsourcing with Contextual Uncertainty
  V. Nguyen, P. Shi, J. Ramakrishnan, N. Torabi, N. S. Arora, U. Weinsberg, M. Tingley
  KDD 2022, Applied Data Science Track, oral presentation
  [Meta research blog] [Acceptance rate = 26% (196/753)]
• CLARA: Confidence of Labels and Raters
  V. Nguyen, P. Shi, J. Ramakrishnan, U. Weinsberg, H. C. Lin, S. Metz, N. Chandra, J. Jing, D. Kalimeris
  KDD 2020, Applied Data Science Track, oral presentation
  [code] [FB research blog ] [Acceptance rate = 5.8% (44/756)]
• Anomaly Detection for an E-commerce Pricing System
  J. Ramakrishnan, E. Shaabani, C. Li, and M. A. Sustik
  KDD 2019, Applied Data Science Track, oral presentation, Honorable Mention for Audience Appreciation Award
  [code] [video] [Acceptance rate = 6.4% (45/700)]
• Optimization of Radiation Therapy Fractionation Schedules in the Presence of Tumor Repopulation
  T. Bortfeld, J. Ramakrishnan, J. N. Tsitsiklis, and J. Unkelbach
  INFORMS Journal on Computing, Vol. 27, No. 4, Fall 2015, pp. 788-803.
• Exploiting Tumor Shrinkage through Temporal Optimization of Radiotherapy
  J. Unkelbach, D. Craft, T. Hong, D. Papp, J. Ramakrishnan, E. Salari, J. Wolfgang, and T. Bortfeld
  Physics in Medicine and Biology, Vol. 59, 2014, pp. 3059-3079.
• The Dependence of Optimal Fractionation Schemes on the Spatial Dose Distribution
  J. Unkelbach, D. Craft, E. Salari, J. Ramakrishnan, and T. Bortfeld
  Physics in Medicine and Biology, Vol. 58, 2013, pp. 159-167.
  [News article featured on medicalphysicsweb]
• Minimizing Metastatic Risk in Radiotherapy Fractionation Schedules
  H. Badri, J. Ramakrishnan, and K Leder
  Physics in Medicine and Biology, Vol 60, 2015, pp. N405.
• A Dynamic Programming Approach to Adaptive Fractionation
  J. Ramakrishnan, D. Craft, T. Bortfeld, and J. N. Tsitsiklis
  Physics in Medicine and Biology, Vol. 57, 2012, pp. 1203-1216.

Ph.D. Thesis

• Dynamic optimization of fractionation schedules in radiation therapy
  J. Ramakrishnan
  Ph.D. Thesis, Department of EECS, MIT, June 2013.
  [Finalist, George B. Dantzig Dissertation Award, Informs Annual Meeting, 2013]

Patents

• Methods and Apparatus for Anomaly Detections
  J. Ramakrishnan, E. Shaabani, C. Li, and M. A. Sustik
  filed May 2019.
• Prioritized Constraint Handling Techniques for Solving Optimization Problems
  J. Ramakrishnan and M. Sustik
  filed Aug 2017.
• Multi-criteria Optimization in Particle Beam Dose Optimization
  M. Brand and J. Ramakrishnan
  filed Aug 2017.

Other Reports

1. A Dual Approximate Dynamic Programming Approach for Multi-stage Stochastic Unit Commitment
   J. Ramakrishnan and J. Luedtke
   Oct 2018.
   [code/data]

2. GDXMRW: Interfacing GAMS and MATLAB
   S. Dirkse, M. C. Ferris, and J. Ramakrishnan
   Documentation, July 2014.

3. SOCP Radiotherapy Benchmark Test Case in CBLIB
   J. Ramakrishnan and M. C. Ferris
   Oct 2014.

4. A Mixed-integer Framework for Operational Decision-making in Sustainable Nutrient Management
   A. Christensen, H. Dong, J. Ramakrishnan, M. Sharara, and M. Ferris.