• Deep learning assisted methods for microscopic blood Cancer imaging analysis 

  Gehlot, Shiv; Gupta, Anubha (Advisor) (IIIT-Delhi, 2022-04-08)

  This thesis, “Deep Learning Assisted Methods for Microscopic Blood Cancer Imaging Analysis” aims to develop deep learning-based CAD tools for Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM). A CAD tool typically ...
• Design, analysis and realization of compact energy efficient RF wireless power transfer systems 

  Verma, Shalin; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2022-01)

  Nowadays, wireless power transfer (WPT) has become a top area of research due to ease and portable outcome in the present technological scenario. This creates an increased demand globally in various technological sectors ...
• Low complexity reconfigurable physical layer for the l-band digital aeronautical communications system 

  Agrawal, Niharika; Darak, Sumit J. (Advisor) (IIIT-Delhi, 2022-05)

  Exponential increase in global air traffic and demands to support heterogeneous services ranging from data to multimedia have compelled communication the- orists and engineers to explore an alternative to existing very ...
• DOA estimation via hardware-software co-design 

  Sharma, Somya; Gupta, Mansi; Darak, Sumit J. (Adviosr); Joshi, Himani (Advisor) (IIIT- Delhi, 2021-05)

  The deployment of cellular spectrum in licensed, shared and unlicensed spectrum demands wideband sensing over non-contiguous sub-6 GHz spectrum. To improve the spectrum and energy efficiency, beam forming and massive ...
• Reconfigurable architectures for online machine learning 

  Santosh, Siripurapu Venkata Sai; Darak, Sumit J. (Adviosr) (IIIT- Delhi, 2020-12)

  Multi-armed bandit (MAB) algorithms are designed to identify the best arm among several arms in an unknown environment. They guarantee optimal balance between exploration (select all arms sufficient number of times) and ...
• Design of synchronization burst transmitter and detector for 5G physical layer 

  Lodhi, Khalid; Darak, Sumit J. (Adviosr) (IIIT- Delhi, 2020-05)

  The continuously increasing demand for wireless communication technology has enabled the advancement from 1G to 5G and even beyond 5G. Synchronization is a time-frequency domain communication network that enables the UE ( ...
• Implementation of encryption algorithms in SRAM based memory 

  Aamir, Mohd.; Grover, Anuj (Advisor) (IIIT- Delhi, 2021-05)

  Encryption algorithms are used to protect confidential data from unauthorized access by scrambling it into an unreadable format, using a private key. The security of the algorithm is largely dependent on the safety of the ...
• Radar sensor networks 

  Badri, M.; Raman, Rajiv (Advisor); Ram, Shobha Sundar (Advisor) (IIIT- Delhi, 2021-05)

  This work aims at interference mitigation in recently booming automotive radar networks, via careful beam forming techniques based on Geometric Algorithms and Optimizations. We first thoroughly explore a relatively simple ...
• Misinformation in public health 

  Jain, Drishti; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2020-12)

  Following the tsunami of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has taken centre stage. In the context of the current COVID-19 pandemic, ...
• Analysing the affect of navigation system voice on driving performance 

  Samal, Vishal; Gupta, Ankit Raj; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2020-12)

  Driving is a demanding task both mentally and physically. Our emotional state can have a signi ficant effect on our driving performance. Due to which automobile organizations have been interested in developing emotionally ...
• Medical application of UAV in times of covid19 

  Jarodia, Akhil; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-06)

  Tavpritesh Sethi The covid19 pandemic affected the world worst that one could imagine. With unexpected growth in the cases around and changing government policies, it has involved every human activity segment. India is a ...
• Nanoscale tunnel field-effect transistors for digital circuit applications: design and analysis 

  Garg, Shelly; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2022-02)

  Metal–oxide–semiconductor field-effect transistor (MOSFET) has been used for decades in the semiconductor industry. However, with the continuous downscaling of the device dimensions to the nanometer regime, conventional ...
• Intelligent and reconfigurable ultra-wideband spectrum characterization at sub-nyquist rate 

  Joshi, Himani; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2021-11)

  Historically, throughput is one of the key performance indicators driving the transition to next-generation cellular networks. The throughput per square kilometer depends on three factors: 1) Available spectrum, 2) Base ...
• Learning representations for molecular sequences 

  Kimothi, Dhananjay; Biyani, Pravesh (Advisor); Hogan, James M. (Advisor); Kelly, Wayne (Advisor) (IIIT-Delhi, 2021-10)

  Learning Representations for Molecular Sequences Sequence comparison is a vital step in bioinformatics tasks such as annotation of molecules, phylogeny construction, and sequence retrieval. Methods for sequence comparison ...
• Performance improvement in LiFi using advanced modulation techniques and learning-based coexistence with WiFi 

  Ahmad, Rizwana; Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)

  Keywords- LiFi, WiFi, O-OFDM, PAPR, DP-OFDM, GMSK, DFT, O-GFDM, HLWN, load balancing, RL, RWP, ORWP. A significant increase in wireless communication has been observed over the past decade. The existing radio frequency ...
• Innovative augmentation of impedance transformation in the design of highly flexible multi-functional RF/microwave circuits and components 

  Gupta, Rahul; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2021-07)

  The burgeoning of a multi-standard wireless communication system (WCS) with the multitude of emerging applications has been permeating the design and development of radio frequency (RF) circuits and components of the ...
• Flexible electronics based efficient front-end circuits for noninvasive continuous health monitoring in biomedical wearable devices 

  Nishtha; Bahubalindruni, Pydi Ganga Mamba (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2021-03)

  With the new habits of lifestyle, new health problems are arising and demands continuous health monitoring. Wearable technology will revolutionize our lives in the upcoming years. To enable widespread usage of such devices, ...
• Spatio temporal methods for prediction of power consumption in Indian railways 

  Ramanathan, Nakul; Malhotra, Sanchit; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2020-06-03)

  Load forecasting is a challenging problem and many Machine Learning approaches have been used for the estimation of power consumption in the recent years. The Indian Railways is a vast railway network. It is divided into ...
• Assessment of honey bee colony health using computer vision and machine learning 

  Thakker, Madhav; Anand, Saket (Advisor); Purandare, Swapna (Advisor) (IIIT-Delhi, 2019-11-16)

  The decline in biodiversity threatens food-security and the quality of life of all living beings. The decline in the number of insects (bees) is a critical phenomenon that should be looked deeply into. Computer Vision ...
• Security aspects in wireless network-on-chips : analysis and proposal of new threat models 

  Singh, Akshat; Deb, Sujay (Advisor) (IIIT Delhi, 2020-06-01)

  As the number of heterogeneous systems in Systems-on-Chip (SoCs) increases, bus-based interconnection architectures act as a bottleneck to meet the performance required by many applications. For systems with very high ...

View more