Distributed Diagnosis of Discrete-Event Systems Using Petri Nets. - Sahika Genc; Stéphane Lafortune (ICATPN, 2003)

Diagnosis of Patterns in Partially-Observed Discrete-Event Systems. - Sahika Genc; Stéphane Lafortune (CDC, 2006)

On diagnosis and predictability of partially-observed discrete -event systems. - Sahika Genc (2006)

Distributed Diagnosis of Place-Bordered Petri Nets. - Sahika Genc; Stéphane Lafortune (IEEE Trans Autom. Sci. Eng., 2007)

Predictability of event occurrences in partially-observed discrete-event systems. - Sahika Genc; Stéphane Lafortune (Autom., 2009)

A coordinated optimization approach to Volt/VAr control for large power distribution networks. - Michael J. Krok; Sahika Genc (ACC, 2011)

Prediction of mean arterial blood pressure with linear stochastic models. - Sahika Genc (EMBC, 2011)

Continuous remote vital sign/environment monitoring for returning soldier adjustment assessment. - Sahika Genc; Daniel J. Cleary; Tarik Yardibi; Joseph C. Wood; Max E. Stachura; Elena V. Astapova (EMBC, 2011)

Gait characterization via pulse-Doppler radar. - Tarik Yardibi; Paul Cuddihy; Sahika Genc; Corey Bufi; Marjorie Skubic; Marilyn Rantz; Liang Liu 014; Calvin E. Phillips (PerCom Workshops, 2011)

Model predictive building thermostatic controls of small-to-medium commercial buildings for optimal peak load reduction incorporating dynamic human comfort models: Algorithm and implementation. - Emrah Biyik; Sahika Genc; James D. Brooks (CCA, 2014)

Distributed estimation of lumped parameters of multi-zone small-middle size commercial buildings with minimal observations & implementation. - Sahika Genc; Hullas Sehgal (CCA, 2014)

Prediction of mortality from respiratory distress among long-term mechanically ventilated patients. - Gregory Boverman; Sahika Genc (EMBC, 2014)

Hemodynamic-impact-based prioritization of ventricular tachycardia alarms. - Kalpit Desai; Michael Lexa; Brett Matthews; Sahika Genc (EMBC, 2014)

An early respiratory distress detection method with Markov models. - Hariharan Ravishankar; Aditya Saha; Gokul Swamy; Sahika Genc (EMBC, 2014)

Biomedical Signal Analysis. - Abhijit Patil; Rajesh Langoju; Suresh Joel; Bhushan D. Patil; Sahika Genc (Healthcare Data Analytics, 2015)

Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation. - Emrah Biyik; James D. Brooks; Hullas Sehgal; Jigar Shah; Sahika Genc (ACC, 2015)

Parametric system identification using deep convolutional neural networks. - Sahika Genc (IJCNN, 2017)

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. - Bharathan Balaji; Sunil Mallya; Sahika Genc; Saurabh Gupta; Leo Dirac; Vineet Khare; Gourav Roy; Tao Sun 008; Yunzhe Tao; Brian Townsend; Eddie Calleja; Sunil Muralidhara; et al. (CoRR, 2019)

SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability. - Sunil Mallya; J. Marc Overhage; Sravan Bodapati; Navneet Srivastava; Sahika Genc (CoRR, 2019)

DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. - Bharathan Balaji; Sunil Mallya; Sahika Genc; Saurabh Gupta; Leo Dirac; Vineet Khare; Gourav Roy; Tao Sun 008; Yunzhe Tao; Brian Townsend; Eddie Calleja; Sunil Muralidhara; et al. (ICRA, 2020)

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. - Sharada P. Mohanty; Jyotish Poonganam; Adrien Gaidon; Andrey Kolobov; Blake Wulfe; Dipam Chakraborty; Grazvydas Semetulskis; João Schapke; Jonas Kubilius; Jurgis Pasukonis; Linas Klimas; Matthew J. Hausknecht; et al. (NeurIPS (Competition and Demos), 2020)

Robust Multi-Agent Reinforcement Learning with Model Uncertainty. - Kaiqing Zhang; Tao Sun 008; Yunzhe Tao; Sahika Genc; Sunil Mallya; Tamer Basar (NeurIPS, 2020)

Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. - Sahika Genc; Sunil Mallya; Sravan Bodapati; Tao Sun 008; Yunzhe Tao (CoRR, 2020)

REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. - Yunzhe Tao; Sahika Genc; Tao Sun; Sunil Mallya (CoRR, 2020)

Gated Transformer for Decoding Human Brain EEG Signals. - Yunzhe Tao; Tao Sun 008; Aashiq Muhamed; Sahika Genc; Dylan Jackson; Ali Arsanjani; Suri Yaddanapudi; Liang Li; Prachi Kumar (EMBC, 2021)

REPAINT: Knowledge Transfer in Deep Reinforcement Learning. - Yunzhe Tao; Sahika Genc; Jonathan Chung 001; Tao Sun 008; Sunil Mallya (ICML, 2021)

Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control. - Vinay Hanumaiah; Sahika Genc (CoRR, 2021)

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing. - Jonathan Francis; Bingqing Chen; Siddha Ganju; Sidharth Kathpal; Jyotish Poonganam; Ayush Shivani; Vrushank Vyas; Sahika Genc; Ivan Zhukov; Max Kumskoy; Anirudh Koul; Jean Oh; et al. (CoRR, 2022)

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. - Jiacheng Lin; Kun Qian 018; Haoyu Han; Nurendra Choudhary; Tianxin Wei; Zhongruo Wang; Sahika Genc; Edward W. Huang; Sheng Wang 012; Karthik Subbian; Danai Koutra; Jimeng Sun 001 (CoRR, 2024)

An Efficient Plugin Method for Metric Optimization of Black-Box Models. - Siddartha Devic; Nurendra Choudhary; Anirudh Srinivasan; Sahika Genc; Branislav Kveton; Gaurush Hiranandani (CoRR, 2025)