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Conference Papers: Recent submissions

  • Fault tolerance of oscillatory neural network using PMO oscillator 
    Shubham, Sai; Mohanty, Siddharth; Lashkare, Sandip (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    Oscillatory Neural Networks (ONN) are inevitable when it comes to solving combinatorial optimization problems. This work demonstrates the fault tolerance of the ONN in solving vertex coloring problems in a 4-node network ...
  • Ohmic Au-MoS2 contacts enabled by re adsorbed MoS2 source/drain regions: an ab-initio quantum transport study 
    Kharwar, Saurabh; Sinha, Soham; Agarwal, Tarun Kumar (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    This study delves into the improved transport properties of 2D MoS 2 devices with metal contacts achieved through substitutional doping or adsorbed metals. We employed ab initio techniques to thoroughly examine electronic ...
  • ComputLitho - an indigenous optical lithography simulator with novel features 
    Kumar, Pardeep; Joshi, Tanmay; Joglekar, Radhika; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    This paper introduces a new optical lithography simulator, ComputLitho, that leverages the advanced algorithms and computational techniques to model the complex process of lithography, providing unprecedented insights into ...
  • Enhanced ANN for accurate current prediction and circuit simulation in nanosheet FETs 
    Maheshwari, Om; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    We have proposed an ANN based model to predict current and terminal charge of Nanosheet FETs. The model is optimized by controlling output nonlinearity and range by logarithmic transformation with exponent loss function. ...
  • A Comprehensive analysis of interlayer variabilities in double-channel AlGaN/GaN HEMT heterostructure 
    Kumar, Priyesh; Saha, Jhuma (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    This research focuses on the impact of interlayer (IL) variabilities on the depth of the 2-Dimensional Electron Gas (2DEG) and strain distribution within a double-channel AlGaN/GaN High Electron Mobility Transistor (HEMT) ...
  • Bit-wise logical operations using capacitor-less silicon-on-insulator MOSFET for in-memory computing 
    Sharma, Prateek; Pal, Jaisingh; Lashkare, Sandip (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    In this paper, Silicon-on-Insulator (SOI) MOSFET for capacitor-less in-memory computing (IMC) is proposed to demonstrate logical operations. A methodology is presented using 3 SOI MOSFETs to realize AND/OR logic operations ...
  • Training free parameter extraction for compact device models using sequential Bayesian optimization 
    Maheshwari, Om; Singh, Aishwarya; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    This work presents a computationally efficient approach to extract the compact model parameters without extensive training requirements. Bayesian optimization is employed in multiple stages to optimize different model ...
  • Device design of step field plate RF LDMOS transistor for improved power amplifier applications 
    Patel, Rutu; Maheshwari, Om; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2024-03-03)
    This work discusses the optimization of a Step Field Plate (SFP) RF LDMOS transistor to enhance Power Amplifier (PA) performance. The impact of structural parameters: length of overlap between gate and P-well mask (Lw), ...
  • COMPRIZE: assessing the fusion of quantization and compression on DNN hardware accelerators 
    Patel, Vrajesh; Shah, Neel; Krishna, Aravind; Issac, Tom Glint; Ronak, Abdul; Mekie, Joycee (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-06)
    The fast advancement in complex Deep Neural Network (DNN) models, along with the availability of large amounts of training data, has created a huge demand for computational resources. When these novel workloads are offloaded ...
  • Hybrid CMOS-memristor logic for boosting the power-efficiency in error tolerant applications 
    Pokharia, Monika; Prasad, Kailash; Hegde, Ravi S.; Mekie, Joycee (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-06)
    Physical unclonable functions (PUFs) based on static random access memory (SRAM) are essential in security applications, generating unique challenge-response pairs (CRPs) from manufacturing randomness. These CRPs serve as ...
  • SDR-PUF: sequence-dependent reconfigurable SRAM PUF with an exponential CRP space 
    Prasad, Kailash; Shah, Neel; Dagli, Jinay; Mekie, Joycee (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-06)
    Approximate computing is a promising paradigm for improving the power efficiency of electronic systems for error-tolerant applications such as multimedia processing, image multiplication, and machine learning. In approximate ...
  • FP-ATM: a flexible floating point NOR adder tree macro for in-memory computing 
    Attuluri, Yathin Kumar; Chudasama, Ruchit; Prasad, Kailash; Mekie, Joycee (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-06)
    In-Memory computing (IMC) has emerged as a promising approach to address the von Neumann bottleneck in deep learning applications. This work proposes FP-ATM, a 6T SRAM-based all-digital design for multiply-accumulate (MAC) ...
  • FP-BMAC: efficient approximate floating-point bit-parallel MAC processor using IMC 
    Gajawada, Saketh; Gupta, Aryan; Prasad, Kailash; Mekie, Joycee (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-06)
    In-memory computing (IMC) has emerged as a promising solution to address the energy and performance bottlenecks of traditional von Neumann architectures. This paper presents FP-BMAC, a novel bit-parallel in-memory computing ...
  • K-means clustering with ANN based classification to predict current-voltage characteristics of advanced FETs 
    Maheshwari, Om; Vyas, Dev; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-06)
    In this work, we proposed a novel data-based methodology using artificial neural network (ANN) based classifier to predict current-voltage (I-V) characteristics of advanced FETs. The K-means clustering is employed to cluster ...
  • Analysis of differential spacecraft charging using suprathermal GEO plasma particles 
    Chakrabarty, Surup; Chakrabarty, Soumyabrata; Bhattacharjee, Anirban (Institute of Electrical and Electronics Engineers (IEEE), 2023-12-11)
    This paper presents the method to analyze the differential spacecraft charging using q-non extensive Tsallis distribution to take into account the higher energy tails of suprathermal GEO space plasma particles. The work ...
  • Deep-learning empowered multi-objective antenna design: a polygon patch antenna case study 
    Singh, Praveen; Panda, Soumyashree S.; Hegde, Ravi S. (Institute of Electrical and Electronics Engineers (IEEE), 2024-02-28)
    We present a multi-objective inverse design approach for rapidly synthesizing antennas, leveraging a deep-learning-assisted evolutionary algorithm. A convolutional neural network (CNN) surrogate prediction model has been ...
  • A current-excitation based circuit for resistive sensors with lead resistance compensation 
    Jain, Akshit; Wani, Mohamad Idris; Lashkare, Sandip; Malik, Shahid (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-22)
    IoT-assisted measurement systems form the backbone of any kind of automation system. Resistive sensors in such systems are indispensable due to the ease with which they can be interfaced and integrated with an IoT-based ...
  • High performance switched moded power conversion for photovoltaic integrated hydrogen based energy system 
    Harikrishnan, A.; Mehta, Pavan; Bharadwaj, Pallavi (Institute of Electrical and Electronics Engineers (IEEE), 2023-12-10)
    Hydrogen-based energy systems have provided a different dimension for generating and storing green energy and it has a huge potential to contribute significantly to our future energy needs. The research on hydrogen fuel ...
  • Improving the financial health of DISCOM - a case study of Kerala 
    Ramanathan, N. S.; Kumar, Anand; Pindoriya, Naran M.; Bharadwaj, Pallavi (Institute of Electrical and Electronics Engineers (IEEE), 2023-12-10)
    India’s electricity sector has witnessed a great revolution over the years. The access to power distribution has increased over the scale. The contributions from renewable energies are also manifold. However, the distribution ...
  • Machine learning based source and load forecasting for efficient microgrid energy management system 
    Mehta, Pavan; Bharadwaj, Pallavi (Institute of Electrical and Electronics Engineers (IEEE), 2023-12-10)
    Globally microgrids are becoming more successful for uninterrupted power, power access in remote areas, better power quality and low carbon emissions due to integration of renewable energy sources. The major renewable ...

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