• Green communication technologies for multistandard and multi-band transceivers 

  Bohara, Vivek Ashok (IIIT-Delhi, 2024-03-11)
• An investigation on the performance of hybrid visible light and radio frequency for vehicular communication 

  Singh, Gurinder; Srivastava, Anand (Advisor); Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-12)

  With the advent of connected autonomous vehicles, we are expecting to witness a new era of un- precedented user experiences, improved road safety, a wide range of compelling transportation applications, etc. A large number ...
• A computational approach to assist healthcare professionals in selecting antibacterial drugs to treat bacterial infections 

  Chatterjee, Sayantika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-05)

  The reproducibility of experiments has been a long-standing obstruction for farther scientific evolution. Computational methods are being involved to accelerate and to economize drug discovery and the development process. ...
• Visual monitoring for wildlife : detection and re-identification 

  Ananya; Anand, Saket (Advisor) (IIIT-Delhi, 2023-05)

  Visual wildlife monitoring of animals requires detection for species-level categorization and re-identification (Re-ID) for population estimation of an individual species. Traditionally, the monitoring is done via GPS ...
• Counterfactual inference framework for joint estimation of medical costs, treatment effect and time-to-event 

  Khan, Zuber; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)

  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 ...
• Software prototype of IEEE 802.11ad based joint radar communication receiver 

  Sindhu, V Sri; Ram, Shobha Sundar (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-09)

  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 ...
• Optimizing medical costs and resource utilization using causal inference and explaining the model’s predictions 

  Jain, Tanisha; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-07)

  Machine learning (ML) models that accurately predict treatment effects and related healthcare costs can bring significant efficiencies in the healthcare industry. These models could help reduce fatalities resulting from ...
• Software and hardware prototype of ieee 802.11ad based joint radar communication transmitter 

  Jain, Soumya; Ram, Shobha Sundar (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-07)

  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 ...
• A practical methodology to waive marginal timing violations using machine learning 

  Kumar, Rajat; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2022-07)

  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 ...
• Personalized unsupervised federated autoencoders 

  Arora, Kanika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-07)

  An immense amount of data is generated daily usingmodern technologies in autonomous vehicles, IoT, smart grids, etc. But unfortunately, this data generated at the edge cannot be used for any machine learning model training ...
• Explorized filter-based on-policy adaptive optimal lqr with unknown dynamics 

  Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-08)

  Conventionally, optimal control solutions demand offline a priori knowledge of the system dynamics. Adaptive optimal control methods have been advantageous in allowing for dynamic controllers to approximate optimal control ...
• An artificial neural network based incremental placer for wire length reduction 

  Gagandeep; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2022-08)

  The total wire length of a design affects various QoR measures such as timing, power, and routability. Hence, it is a critical parameter to optimize in physical design. Post global routing, the total wire length can be ...
• A sense amplifier based bulk built-in current sensor for detecting laser-induced currents 

  Batabyal, Debjit; Grover, Anuj (Advisor); Kumar, Ashish (Advisor) (IIIT-Delhi, 2022-07)

  Soft errors can occur when integrated circuits (ICs) are subjected to hostile conditions in space, the upper atmosphere, or even on Earth. For more than four decades, researchers have been studying similar phenomena. Among ...
• To study the impact of process variations on NoC performance: a circuit-centric approach 

  Anushka; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-12)

  Due to technology scaling, achieving increasing bandwidth demands has become challenging and has led to the preference of Network-On-Chips (NoCs) over bus architecture as the communication infrastructure in multi-core ...
• Hardware software co-design of deep learning augmented wireless channel estimation 

  Sharma, Animesh; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-12)

  The feasibility study of deep learning (DL) approaches for reliable, flexible, and high throughput wireless physical layer (PHY) has received significant interest from academia and industry. In this direction, 3GPP has set ...
• Power estimation of in-memory compute based memory arrays using simulink blocks 

  Mohd, Aamir; Grover, Anuj (Advisor) (IIIT-Delhi, 2022-10)

  System-on-Chip (SoC) incorporates all the components of any system onto a single integrated circuit. Their compact, power-efficient architecture allows them to be used in various applications like automotive, consumer ...
• Spatio temporal signal processing harnessing public transit for effective spatiotemporal 

  Charul; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2023-09)

  Public transportation can be a potential source of generating a tremendous amount of data as a part of its daily operation. GPS (Global Positioning System) installed system can be used to track the position of buses and ...
• Generative and adversarial learning for object recognition 

  Verma, Astha; Subramanyam, A V (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-09)

  Generative modeling and adversarial learning have significantly advanced the field of computer vision, particularly in object recognition and synthesis, unsupervised domain adaptation, and adversarial attacks and defenses. ...
• Efficient post-silicon debug platforms for future many-core systems 

  Rout, Sidhartha Sankar; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-06)

  As the computation is moving towards the exascale era, more and more number of processing cores of heterogeneous natures are getting embedded in a System-on-Chip (SoC). The growing demands for high-performance and increased ...
• Designing and analyzing low-complexity energy-efficient visible light communication systems for IoT and UAV applications 

  Anwar, Dil Nashin; Srivastava, Anand (Advisor) (IIIT-Delhi, 2023-06)

  IoT interconnect everyday objects via the internet, enabling them to send and receive data by transceivers embedded in it. The number of IoT devices is estimated to reach billions, contributing to half of the global connected ...

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