A Micropower CMOS Amplifier for Portable Surface EMG Recording. - Pak Kwong Chan; Grani Adiwena Hanasusanto; Hendrata B. Tan; Vincent Keng Sian Ong (APCCAS, 2006)

Ink-bleed reduction using functional minimization. - Grani Adiwena Hanasusanto; Zheng Wu; Michael S. Brown (CVPR, 2010)

Risk-averse shortest path problems. - Christos Gavriel; Grani Adiwena Hanasusanto; Daniel Kuhn 001 (CDC, 2012)

Robust Data-Driven Dynamic Programming. - Grani Adiwena Hanasusanto; Daniel Kuhn 001 (NIPS, 2013)

K-Adaptability in Two-Stage Robust Binary Programming. - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2015)

Distributionally robust multi-item newsvendor problems with multimodal demand distributions. - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Stein W. Wallace; Steve Zymler (Math. Program., 2015)

A distributionally robust perspective on uncertainty quantification and chance constrained programming. - Grani Adiwena Hanasusanto; Vladimir Roitch; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2015)

Decision making under uncertainty: robust and data-driven approaches. - Grani Adiwena Hanasusanto (2015)

A comment on "computational complexity of stochastic programming problems". - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2016)

K-adaptability in two-stage distributionally robust binary programming. - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res. Lett., 2016)

Ambiguous Joint Chance Constraints Under Mean and Dispersion Information. - Grani Adiwena Hanasusanto; Vladimir Roitch; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2017)

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls. - Grani Adiwena Hanasusanto; Daniel Kuhn 001 (Oper. Res., 2018)

Data-driven inverse optimization with imperfect information. - Peyman Mohajerin Esfahani; Soroosh Shafieezadeh-Abadeh; Grani Adiwena Hanasusanto; Daniel Kuhn 001 (Math. Program., 2018)

Improved Conic Reformulations for K-means Clustering. - Madhushini Narayana Prasad; Grani Adiwena Hanasusanto (SIAM J. Optim., 2018)

Robust Quadratic Programming with Mixed-Integer Uncertainty. - Areesh Mittal; Can Gokalp; Grani A. Hanasusanto (INFORMS J. Comput., 2020)

Optimal Residential Battery Storage Operations Using Robust Data-Driven Dynamic Programming. - Nan Zhang; Benjamin D. Leibowicz; Grani A. Hanasusanto (IEEE Trans. Smart Grid, 2020)

Wasserstein Robust Support Vector Machines with Fairness Constraints. - Yijie Wang; Viet Anh Nguyen; Grani A. Hanasusanto (CoRR, 2021)

Finding Minimum Volume Circumscribing Ellipsoids Using Generalized Copositive Programming. - Areesh Mittal; Grani A. Hanasusanto (Oper. Res., 2022)

A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers. - Prateek R. Srivastava; Purnamrita Sarkar; Grani A. Hanasusanto (Oper. Res., 2023)

Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. - Zhuangzhuang Jia; Grani A. Hanasusanto; Phebe Vayanos; Weijun Xie 001 (AAAI, 2024)

Distributionally Robust Path Integral Control. - Hyuk Park 005; Duo Zhou; Grani A. Hanasusanto; Takashi Tanaka (ACC, 2024)

Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes. - Duo Zhou; Christopher Brix; Grani A. Hanasusanto; Huan Zhang 001 (NeurIPS, 2024)

Discrete-Time Stochastic LQR via Path Integral Control and Its Sample Complexity Analysis. - Apurva Patil; Grani A. Hanasusanto; Takashi Tanaka (IEEE Control. Syst. Lett., 2024)

A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse. - Xiangyi Fan; Grani A. Hanasusanto (INFORMS J. Comput., 2024)

Wasserstein Robust Classification with Fairness Constraints. - Yijie Wang; Viet Anh Nguyen; Grani A. Hanasusanto (Manuf. Serv. Oper. Manag., 2024)

Robust System Identification: Finite-sample Guarantees and Connection to Regularization. - Hyuk Park 005; Grani A. Hanasusanto; Yingying Li (ICLR, 2025)

Improved Decision Rule Approximations for Multistage Robust Optimization via Copositive Programming. - Guanglin Xu; Grani A. Hanasusanto (Oper. Res., 2025)

Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control. - Zhuangzhuang Jia; Hyuk Park 005; Gökçe Dayanikli; Grani A. Hanasusanto (CoRR, 2025)

Second-order bounds for the M/M/s queue with random arrival rate. - Wouter van Eekelen; Grani A. Hanasusanto; John J. Hasenbein; Johan S. H. van Leeuwaarden (Queueing Syst. Theory Appl., 2025)

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty. - Mingxuan Cui; Duo Zhou; Yuxuan Han; Grani A. Hanasusanto; Qiong Wang; Huan Zhang 001; Zhengyuan Zhou (CoRR, 2025)