http://repository.iiitd.edu.in/xmlui/handle/123456789/1058 Fri, 10 Apr 2026 21:52:33 GMT 2026-04-10T21:52:33Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1370 Counterfactual inference framework for joint estimation of medical costs, treatment effect and time-to-event Khan, Zuber; Prasad, Ranjitha (Advisor) Optimal treatment selection is extremely crucial in emergency situations such as for a patient admitted in ICU. However, the chosen medical treatment may not necessarily be a financially favorable choice. In some of the developing countries like India, there is a lack of a good public health insurance system and not everyone can afford private health insurance. Therefore, balancing the trade-off between medical costs and best treatment choice is important not just from patient point of view but also for settings where free healthcare services are provided. In order to make the best decision, it is essential for clinicians to know about the treatment which will lead to shorter duration of inpatient hospital stay as well as the associated medical costs with each potential treatment choice. Various authors have tried to predict duration of stay or medical costs of inpatient ICU stays or the treatment effect with time-to-event as the outcome variable. However, to the best of our knowledge, there is no research work that proposes joint estimation of medical cost and duration of stay in a hospital taking into consideration individual treatment effect. Our research work addresses this issue, and provides two novel frameworksMedCI andMedSCI, that not only predict time-to-stay and associated medical costs for a given treatment and counterfactual treatment choice but also return individual treatment effect for both the outcomes. Our work is a mixture of Survival Analysis, Causal Inference and Deep Learning. The results are obtained on a semisynthetic and synthetic dataset for MedCI while MedSCI is evaluated on a synthetic dataset. Thu, 01 Dec 2022 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1370 2022-12-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1369 Software prototype of IEEE 802.11ad based joint radar communication receiver Sindhu, V Sri; Ram, Shobha Sundar (Advisor); Darak, Sumit Jagdish (Advisor) Rapid beam alignment is required to support high gain millimeter wave (mmW) communication links between a base station (BS) and mobile users (MU). The standard IEEE 802.11ad protocol enables beam alignment at the BS andMUthrough a lengthy beam training procedure accomplished through additional packet overhead. However, this results in reduced latency and throughput. Auxiliary radar functionality embedded within the communication protocol has been proposed in prior literature to enable rapid beam alignment of communication beams without the requirement of channel overheads. In this thesis, we propose a complete architectural framework of an IEEE 802.11ad based joint radar-communication wireless receiver. We provide a software prototype implementation with receiver design details. The prototype is experimentally evaluated with realistic simulations in free space and Rician propagation conditions and demonstrated to accelerate the beam alignment by a factor of four while reducing the overall bit error rate (BER) resulting in significant improvement in throughput with respect to standard 802.11ad. Thu, 01 Sep 2022 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1369 2022-09-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1367 Software and hardware prototype of ieee 802.11ad based joint radar communication transmitter Jain, Soumya; Ram, Shobha Sundar (Advisor); Darak, Sumit Jagdish (Advisor) Next-generation wireless communication systems are expected to support high-mobility and high-bandwidth vehicle-to-everything (V2X) communications in sub-6 GHz and millimeter wave (mmWave) spectrum. The deployment in mmWave spectrum demands rapid beam alignment of highly directional beams towards the mobile users to achieve the desired throughput. A potential solution investigated in this thesis is a joint radar-communication (JRC) system in the base station in which radar waveforms are embedded within the communication signal to enable accurate localization of the mobile user without the requirement of auxiliary sensors and spectrum. In this thesis, we propose a novel framework for a JRC transmitter based on the mmWave IEEE 802.11ad standard. Through the proposed system, we eliminate the lengthy beam alignment procedure in the standard IEEE 802.11ad protocol to realize shorter beam alignment durations. Next, we design a fixed-point synthesizable architecture of the proposed transmitter and verify its functionality on an FPGA platform. The performance studies of the word-length of the hardware implementation along with hardware IP cores for the transmitter form the third major contribution of the thesis. Fri, 01 Jul 2022 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1367 2022-07-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1365 A practical methodology to waive marginal timing violations using machine learning Kumar, Rajat; Saurabh, Sneh (Advisor) Achieving timing closure is a challenging task, and it becomes more complicated due to the artificial pessimism in the traditional timing models of the flip-flops. During the signoff stages, we can alleviate this problem by waiving marginal timing violations with the help of more accurate flip-flop timing models and careful analysis of the failing endpoints. In this work, we propose to develop ANN-based and SVM-based timing models for flip-flops. We demonstrate that the errors in ANN-based models and SVM-based models are less than 2% and 1%, respectively, compared to the golden SPICE results. Further, we propose a three-tiered filtering mechanism to waive marginal timing violations. It employs an ANNbased timing model to filter violations using predicted clock-to-Q delay. Then, it uses an SVM-based timing model to ensure that the marginally failing flip-flop can correctly capture the data. Finally, it checks whether surplus slack is available in the fanout of the marginally failing flip-flop that allows waiving that violation. We demonstrate the utility and robustness of the proposed methodology on TAU CONTEST’19 benchmark circuits and validated the results with SPICE simulations. Fri, 01 Jul 2022 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1365 2022-07-01T00:00:00Z