Computing adequately permissive assumptions for synthesis
A. Anand, K. Mallik, S.P. Nayak, A.K. Schmuck, in:, TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2023, pp. 211–228.

Runtime monitoring of dynamic fairness properties
T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–614.

Monitoring algorithmic fairness
T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification, Springer Nature, 2023, pp. 358–382.

Symbolic control for stochastic systems via finite parity games
R. Majumdar, K. Mallik, A.K. Schmuck, S. Soudjani, Nonlinear Analysis: Hybrid Systems 51 (2023).

Monitoring algorithmic fairness under partial observations
T.A. Henzinger, K. Kueffner, K. Mallik, in:, 23rd International Conference on Runtime Verification, Springer Nature, 2023, pp. 291–311.

A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, in:, 35th International Conference on Computer Aided Verification, Springer Nature, 2023, pp. 3–15.

Fast symbolic algorithms for mega-regular games under strong transition fairness
T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, S. Soudjani, TheoretiCS 2 (2023).

A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, (2023).

A direct symbolic algorithm for solving stochastic rabin games
T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, S. Soudjani, in:, 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2022, pp. 81–98.

BOCoSy: Small but powerful symbolic output-feedback control
B. Finkbeiner, K. Mallik, N. Passing, M. Schledjewski, A.-K. Schmuck, in:, 25th ACM International Conference on Hybrid Systems: Computation and Control, ACM, 2022, p. 24:1-24:11.