Electronics and Communication Engineering: Recent submissions

  • Network analysis of neuro-cognitive processes: studying mcgurk effect using EEG data 
    Malik, Manasi; Bagler, Ganesh (Advisor); Banerjee, Arpan (Advisor) (IIITD-Delhi, 2019-05-31)
    We perceive the world around us through multiple senses. Perception of different senses is linked to different regions in the brain. Integration of the perception of objects through multiple senses enables the brain to ...
  • Multimodal fake news detection on online social 
    Dabas, Karan; Kumaraguru, Ponnurangam (Advisor); Chakraborty, Tanmoy (Advisor); Shah, Rajiv Ratn (Advisor) (IIITD-Delhi, 2018-04-18)
    The rapid growth in the amount of fake news on instant messaging platforms and social media is a very serious concern in our society. Moreover, the ubiquitous availability of smartphones, affordable network infrastructure, ...
  • Semi supervised accent invariant speech recognition 
    Venkadeswaran, Aravaida Kumaran; Anand, Saket (Advisor) (IIITD-Delhi, 2019-04-28)
    Automatic Speech Recognition which is aimed at enabling a more natural form of human-machine interaction has been an area of research for decades now and many breakthroughs have been made in this eld. The performance of ...
  • Studying functional brain networks arising during stroop and trail-making tests using EEG signals 
    Singh, Lakshya; Singh, Aryan; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-14)
    In the eld of cognitive neuroscience and biomedical engineering, there has been an increasing interest in the eld of study of functional brain networks. This allows us to have a better understanding of it's responses to ...
  • Camera and RADAR sensor fusion for vehicular applications 
    Mondal, Arpan; Ram, Shobha Sundar (Advisor); Anand, Saket (Advisor) (IIITD-Delhi, 2018-07-09)
    This report is a brief literature study for applications of sensor fusion for making a robust and cheap advanced driver assistance service. We would mainly look into fusion of vision and RADAR, and look into various ...
  • Image forensics 
    Jain, Anubhav; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2018-01-09)
    Digital alterations have become a common trend on social media websites as well as in the entertainment industry, with magazine printing altered images of celebrities to make them look more attractive. Advancements in ...
  • Enabling data communication over solar PV cells 
    Zaman, Arshan; Singh, Shivam; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor); Visweswaran, G S (Advisor) (IIIT-Delhi, 2019-07-10)
    As the telecom services evolve towards 5G, service providers are exploring innovative technologies which are easier to deploy, provide high data rate communication and enable dense network connectivity at a low cost. Visual ...
  • Deep dictionary learning 
    Singhal, Vanika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-08)
    Currently there are three basic frameworks in deep learning - stacked autoencoders (SAE), deep belief network (DBN) and convolutional neural network (CNN); SAE and DBN can be applied to arbitrary inputs but CNN can only ...
  • End-to-end performance analysis of MIMO-OFDM based wireless transceivers in the presence of hardware impairments 
    Aggarwal, Parag; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2019-05)
    Wireless communication systems based on multi-antenna multi-carrier modulation techniques such as multi-input-multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) have become the state-of-art method for a ...
  • Analytical techniques towards identification of human brain functional networks 
    Aggarwal, Priya; Gupta, Anubha (Advisor) (IIIT-Delhi, 2018-12)
    Human brain is a large scale complex network of different but functionally coupled brain regions. These functionally coupled brain regions together form functional brain networks (fBNs). Identification of these networks ...
  • Designing dual band impedance matching transformer. 
    Singh, Vikas Vikram; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2018-04-18)
  • Chipless RFID systems 
    Ummalaneni, Vahini; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2017-04-18)
    In the course of this BTP,low cost chipless RFID tags have been designed. The proposed RFID tags are fully passive devices. They do not require chip assembly or any power supply. In the previous semester, the tag studied ...
  • Digital cryptomarkets 
    Agrawaal, Taneea S; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-07-07)
    Darknet markets, also known as cryptomarkets, are websites located on the Darknet and designed to allow the traffcking of illicit products, mainly drugs. Over the past decade, online advertising became the principal ...
  • Imaging using radar 
    Iqbal, Mohd Shoaib; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2017-11-25)
    Frontal radar imaging has been proposed as an alternate technology to cameras for through wall surveillance and law enforcement. Cameras cannot see through wall as optic frequencies do not penetrate walls. On the other ...
  • Mosquito combatant 
    HIMANSHU; Parnami, Aman (Advisor); Naik, Vinayak (Advisor) (IIIT-Delhi, 2017-11-16)
    According to WHO, mosquito is the most dangerous specie on Earth. It causes deadly diseases like Malaria,Dengue, Chikungunya etc. Mosquitoes are infecting hundreds of millions people and causing millions of deaths each ...
  • Multi-robot mapping and navigation for testing of autonomous vehicle 
    Tiwari, Rohan; Sujit, PB (Advisor); Sundaram, Suresh (Advisor) (IIIT-Delhi, 2018-04-18)
    The focus of our project is to develop testing conditions that involve interaction of Autonomous Vehicles with pedestrians. We aim to simulate all possible situations that could happen in real world deployment involving ...
  • Chipless RFID reader 
    Vithalkar, Amogh; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2018-04-18)
    Radio Frequency Identification(RFID) has been gaining popularity recently over barcodes for a wide range of applications like inventory control, supply chain management, manufacturing,etc. With the increasing popularity ...
  • Deep learning for attribute prediction and small sample size problems 
    Sethi, Akshay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-04-17)
    The first part of this work focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder. The work presents Cosine similarity based loss function in an autoencoder which ...
  • A successive approximation register based digital delay locked loop for clock and data recovery circuits 
    Mittal, Priyanka; Bahubalindruni, Pydi Ganga Mamba (Advisor); Odedara, Bhavin (Advisor) (2018-07)
    The delay locked loop (DLL) is widely used in the electronics industry for implementing clock and data recovery circuits (CDR) in high-speed IOs. DLL contains first order closed-loop architecture, aligns the output clock ...
  • Sub-1V CMOS bandgap reference for ultra-low power applications 
    DALAL, NEHA; Hashmi, Mohammad S. (Advisor); Rana, Vikas (Advisor) (IIIT-Delhi, 2018-07-13)
    BCD silicon process technology is invented by ST which plays a pivotal role in today’s industry. BCD is outcome of merging three different process technologies. The Digital, Analog and Power/High voltage elements are brought ...

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