Abhishek Agwekar

@bgibhopal.com

Head of Depertment, First Year Engineering
Bansal Institute of Research Technology and Science,bhopal

Abhishek Agwekar


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https://researchid.co/abhiagwekar
I am Abhishek Agwekar, a dedicated educator and passionate researcher currently pursuing a Ph.D. at Rabindra Nath Tagore University, Bhopal. I hold an M.Tech. in Digital Communication from RGPV Bhopal and a Bachelor of Engineering from Truba Institute of Engineering & Information Technology, Bhopal, which collectively form the foundation of my comprehensive academic background.

With over a decade of teaching experience nurturing undergraduate engineers, I have been a pivotal member of TRUBA Group of Institute since January 2013. My expertise spans diverse domains including Antennas, VLSI, Machine Learning, and Neural Networks.

I am an ardent learner and have earned certifications from Google, IBM, and NPTEL in areas such as Digital Marketing, Artificial Intelligence, Control Systems, R Programming, and more. Noteworthy accolades include the Best Faculty Award in SRIJAN 2017 by MPCST Bhopal, the Tech Guru Award-2017 by CII at SISTech College Bhopal, and the Best Faculty Award in TRUBA

EDUCATION

PhD (Electronics & Communication), M.Tech. (Digital Communication), B.E. (Electronics & Communication)

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Science
9

Scopus Publications

30

Scholar Citations

3

Scholar h-index

Scopus Publications

  • Analysis of Shape and Margin in Analog Computing Circuit: Design and Performance Evaluation with Machine Learning
    Abhishek Agwekar, Laxmi Singh
    Lecture Notes in Networks and Systems, 2026
  • Implementation of High Speed Cascode Cross-Coupled Stage Comparator in CMOS Technology
    Nishi Pandey, Laxmi Singh, Abhishek Agwekar
    International Conference on Signal Processing and Communication ICSC, 2025
    Low power dynamic comparator is generally used in ultra-low power applications. This device uses ‘28nm CMOS technology’ and the ‘Power Supply Voltage’ is “l.1V”. In order to reduce “Static Power Consumption” and increase comparison ‘Speed’ most dynamic comparators use a pair of cross-coupled inverters as latch level. This provides a decent power input. Here used double tail latch comparator with cross coupled gives the advantages in the power consumption and input referred RMS noise. Unlike traditional architectures, adding cross-connectors to different pairs of inputs prevents end-to-end comparison of nodes. Reducing the overall effect of the stage, the delay of the rate is decided by the total conductance value of the cross-coupled logics of the comparator transistors with a gate-to-source voltage of zero. This work presents a novel low voltage cascode cross-section and high contrast circuit using CMOS technology. The design concept does not use the standard cross-coupled inverter architecture, but uses gate blocking cross-coupled transistors. This concept increases the overall transconductance value at the beginning of the comparison stage, resulting in faster comparison and lower power consumption. Through simulation and measurement, the “Delay” and “Power Consumption” of the compared products are analyzed and compared with previous models. Test results show that the comparator is recommended to be used from a 1.2V power supply with reference voltage 1-2V consumes less energy.
  • Survey paper on image fusion using hybrid non-subsampled contourlet transform and neural network
    Dipika Kumari, Abhishek Agwekar
    Proceedings 5th International Conference on Intelligent Computing and Control Systems Iciccs 2021, 2021
    This paper is review on image fusion for different technique i.e. Non-subsampled Contourlet Transform (NSCT) and Neural Network (NN). NSCT is the pyramid structure and gives the multiscale feature of the image. NSCT used to directional filtering structure and used to filter bank. Neural network is a progression of calculations that tries to perceive fundamental connections in a bunch of information through an interaction that impersonates the manner in which the human mind works. The implemented algorithm will applied to MRI image and with the help of NN to calculated accuracy. The previous algorithm was work of different technique i.e. principal component analysis, discrete wavelet transorm and curvelet transform. The implemented algorithm will implement MATLAB software and calculate mean square error and peak signal to noise ratio.
  • Review of Shortest Path Wireless Sensor Network Performance with Energy-Efficient Approaches
    Amit Sahu, Nishi Pandey, Abhishek Agwekar
    Proceedings International Conference on Artificial Intelligence and Smart Systems Icais 2021, 2021
    Improving the lifetime of a WSN which works in very cruel conditions, is one of the key difficulties looked by scientists and engineers of remote sensor network advancements. Dragging out the lifetime of WSN becomes considerably more significant in some delicate regions where re-energizing or supplanting the sensor hub batteries is unimaginable or not viable. In this proposition, the issue of improving the WSN's lifetime is examined and is accomplished utilizing geography control calculations, which plan the sensors to preserve battery power mounted on them. Disjoint set K cover age method is applied for building the new and diminished geography that contains not many sensor hubs in dynamic state while taking care of the remainder of the hubs state. The idea of disjoint set K covers is utilized, where not many sensors are actuated and others are deactivated to save battery power for some time later. The sensors conveyed are isolated to frame a most extreme number of disjoint sensor subgroups and every subgroup is actuated for one discrete time-frame while different gatherings are in the rest mode to save the battery power.
  • A study of Dual Band Reformed Square Slot DRA for Wireless System
    Poonam Lodhi, Meha Shrivastava, Abhishek Agwekar
    Proceedings of the 6th International Conference on Inventive Computation Technologies Icict 2021, 2021
    The prospective strategy is an incorporation of a space reception apparatus and a dielectric resonator antenna (DRA). This is planned beyond trading off scaling down and productivity. It is seen that the reconciliation of space and dielectric structure to itself might be converged to accomplish very wide data transmission upstairs which the antenna polarization and radiation design are saved. Here the impact of space stature on the radiation execution of the DRA is examined. The reception apparatus structure is mimicked utilizing the HFSS programming. The reenacted results are introduced and contrasted and the deliberate outcome. This DRA has an addition of 7.1 and 6.3 dBi at 5.7 and 8.1 GHz, separately, its 10 dB return impedance data transfer capacity of almost 4.5% and 5.5% at two resounding frequencies. An aggregate of 98% proficiency has been accomplished from the design. It is indicated that the stature of the space can altogether influence the radiation properties of the DRA and there are acceptable arrangements among recreation and estimated results.
  • PAPR and BER Reduction of 5G MIMO Systems Based on Modified SLM and DCT Technique
    Namrata Jain, Meha Shrivastava, Abhishek Agwekar
    2020 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2020, 2020
    LTE (Long Term Evolution) which is increasing a lot of ubiquity these days. It is planned for giving high information rates, high phantom effectiveness and low PAPR. In spite of the fact that the utilization of SC-OFDM decreases PAPR, it builds the framework multifaceted nature. Thus it is important to build up an innovation which fulfills the necessities of LTE without expanding the framework unpredictability. The proposed work recommends SC-OFDM procedure as an option for the current different access strategy utilized in LTE. Despite the fact that the regular SC-OFDM gives high information rates and unearthly effectiveness, the exhibition of the framework could be improved further to diminish the PAPR, by appropriate changes in the strategies utilized. Bit error rate (BER) execution and Peak to average power ratio (PAPR) are of primary worry in the plan of a remote correspondence framework. A framework which is equipped for conveying low BER and PAPR is liked. Select mapping (SLM) and discrete cosine transform (DCT) is a system, which helps in accomplishing this objective somewhat.
  • A detail concept and survey on ultra wide band (UWB) antennas
    Shivani Soni, Meha Shrivastava, Abhishek Agwekar
    2nd International Conference on Data Engineering and Applications Idea 2020, 2020
    This paper gives the overview of Ultra Wide Band (UWB) antennas, theory and concept. Antenna uses as a transducer for EM waves in free space. UWB antennas can be directional for one frequency range and can operate as Omni-directional in other frequency range. Some papers have been summarized to overcome the concept of UWB antennas and work done so paper.
  • Optimization of PAPR in MIMO - OFDM Using Partial Transmit Sequence and ACO for 5G Communication System
    Mitali Sahu, Meha Shrivastava, Abhishek Agwekar
    Proceedings of the 5th International Conference on Inventive Computation Technologies Icict 2020, 2020
    PAPR (Peak-to-Average Power Ratio) appears as a significant barrier to the successful utilization of MIMO-OFDM (Multiple-Input, Multiple-Output - Orthogonal Frequency-Division Multiplexing) in 5G communication. The maximum value of PAPR degrades the performance of the transmitted signal. The reduction of PAPR requires various techniques such as partial transmit sequence and many more methods. In this paper, a modified PTS (partial transmit sequence) with ant colony optimization is proposed. The modified PTS reduces the value of PAPR and enhances the performance of the communication system. The main objective of this paper is to reduce the value of bit error rate and enhances the transmission throughput. The proposed algorithms reduce the values of error and enhances the process. The optimized PTS is simulated in MATLAB software by using different modulation scheme for performance evaluation. The optimized PTS methods get better results instead of clipping and PTS.
  • Adaptive frequency reuse of beam allocation for massive MIMO system using BP neural network model
    Kunal Thakre, Meha Shrivastava, Abhishek Agwekar
    2nd International Conference on Data Engineering and Applications Idea 2020, 2020
    The future of wireless networks depends on highspeed data without the intervention of service. The high speed of data transmission needs new radio frequency reuse technology. As a consequence of the high rate of data used a massive MIMO system. The massive MIMO system incorporates multiple arrays of an antenna and numerous users. The multiple antenna arrays used the concept of beam forcing and frequency reuse. The idea of frequency reuse induces the problem of inter – cell mterference and inter – beam interference. The generated intervention reduces the throughput of communication. For the minimization of interference proposed BP neural network-based frequency allocation system. The BP neural network makes a decision support system for the massive MIMO. The proposed methods simulated in MATLAB software and compare with GBA. The proposed method is called GBA_BP for frequency reuse in massive MIMO.

RECENT SCHOLAR PUBLICATIONS

  • An AI-Integrated Electrical and Communication System for Automated Monitoring and Control
    SKM Abhishek Agwekar, Nivedita Tiwari, Kiran Sharma, Nishi Pandey, Poonam ...
    IN Patent App. 202621007828 A , 2026
    2026
  • Analysis of Shape and Margin in Analog Computing Circuit: Design and Performance Evaluation with Machine Learning
    LS Abhishek Agwekar
    Proceedings of International Conference on Communication and Computational … , 2026
    2026
  • Finite Impulse Response using Different Multiplier and Adder: A Study
    N Gupta, A Agwekar, S Gupta
    International Journal of Advanced Research and Multidisciplinary Trends … , 2025
    2025
  • Shape and Margin Dynamics in Analog Computing: A Machine Learning Perspective
    A Agwekar, L Singh
    International Conference on Recent Advancements and Modernisations in … , 2025
    2025
  • Implementation of High Speed Cascode Cross-Coupled Stage Comparator in CMOS Technology
    N Pandey, L Singh, A Agwekar
    2025 10th International Conference on Signal Processing and Communication … , 2025
    2025
  • Analysis of Shape and Margin in Analog Computing Circuit: Design and Performance Evaluation with Machine Learning
    A Agwekar, L Singh
    International Conference on Communication and Computational Technologies … , 2025
    2025
  • Data-Driven Performance Evaluation of Analog Compu-ting Circuits: Shape and Margin Analysis with Machine Learning
    A Agwekar, L Singh
    2025
  • Exploring Shape and Margin in Analog Computing Circuits: A Machine Learn-ing-Based Approach to Design and Performance Evaluation
    A Agwekar, L Singh
    Artificial Intelligence and Electrical & Electronics Engineering: AIEEE Open … , 2025
    2025
  • PERFORMANCE OF ANALOG COMPUTING CIRCUITS WITH ENERGY AND POWER
    A Agwekar, L Singh
    Journal of the Maharaja Sayajirao University of Baroda 59 (1), 53-60 , 2025
    2025
  • Advanced MATLAB Simulation of Electric Vehicle DC-DC Buck Converter with Brushless DC Motor Integration
    MS Bisen, A Agwekar
    Journal homepage: www. ijrpr. com ISSN 2582, 7421 , 2025
    2025
    Citations: 1
  • Critical Review of MATLAB-Based Simulation Techniques for DC-DC Buck Converter Integration with Brushless DC Motors in Electric Vehicles
    MS Bisen, A Agwekar
    Journal homepage: www. ijrpr. com ISSN 6 (1), 7421 , 2025
    2025
  • Advanced MATLAB Simulation of Electric Vehicle DC-DC Buck Converter with Brushless DC Motor Integration
    AA Sanjay Bisen
    International Journal of Research Publication and Reviews 6 (1), 1164-1172 , 2025
    2025
  • Critical Review of MATLAB-Based Simulation Techniques for DC-DC Buck Converter Integration with Brushless DC Motors in Electric Vehicles
    AA Sanjay Bisen
    International Journal of Research Publication and Reviews 6 (1), 1159-1163 , 2025
    2025
  • Performance of Analog Computing Circuits with Energy and Power
    LS Abhishek Agwekar
    Journal of the Maharaja Sayajirao University of Baroda 59 (1), 53-60 , 2025
    2025
  • Exploring Shape and Margin in Analog Computing Circuits: A Machine Learning-Based Approach to Design and Performance Evaluation
    LS Abhishek Agwekar
    Research Square Pre Print [https://doi.org/10.21203/rs.3.rs-6140725/v2] , 2025
    2025
  • Single Phase Grid-Connected PV System with Unfolding Flyback Microinverter for Residential Applications
    A Singh, MA Agwekar
    International Journal of All Research Education and Scientific Methods … , 2025
    2025
  • CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions
    DLS Abhishek Agwekar
    Journal of VLSI Design Tools & Technology 15 (1), 8-17 , 2025
    2025
  • Single Phase Grid-connected PV system with unfolding Flyback Microinverter for Residential Applications
    AS Abhishek Agwekar
    International Journal of Advanced Engineering Science and Technological … , 2025
    2025
  • Single Phase Grid-Connected PV System with Unfolding Flyback Microinverter for Residential Applications
    AS Abhishek Agwekar
    International Journal of All Research Education and Scientific Methods … , 2025
    2025
  • Data-Driven Performance Evaluation of Analog Computing Circuits: Shape and Margin Analysis with Machine Learning
    DLS Abhishek Agwekar
    International Journal of Innovative Research in Technology 11 (9), 1273-1279 , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • A Detail Concept and Survey on Ultra Wide Band (UWB) Antennas
    S Soni, M Shrivastava, A Agwekar
    2nd International Conference on Data, Engineering and Applications (IDEA), 1-7 , 2020
    2020
    Citations: 5
  • PAPR and BER Reduction of 5G MIMO Systems Based on Modified SLM and DCT Technique
    N Jain, M Shrivastava, A Agwekar
    2020 IEEE International Students' Conference on Electrical, Electronics and … , 2020
    2020
    Citations: 5
  • Survey Paper on Image Fusion using Hybrid Non-subsampled Contourlet Transform and Neural Network
    D Kumari, A Agwekar
    2021 5th International Conference on Intelligent Computing and Control … , 2021
    2021
    Citations: 4
  • Brain Tumour Detection and Classffication Using CNN
    N Nagar, N Pandey, A Agwekar
    International Journal of Engineering and Applied Physics 2 (2), 472-479 , 2022
    2022
    Citations: 3
  • Optimization of PAPR in MIMO–OFDM Using Partial Transmit Sequence and ACO For 5G Communication System
    M Sahu, M Shrivastava, A Agwekar
    2020 International Conference on Inventive Computation Technologies (ICICT … , 2020
    2020
    Citations: 3
  • Review of PAPR Reduction for MIMO-OFDM Radar with DWT and DCT Multiple Constraints
    M Sahu, MS HOD, A Agwekar
    2019
    Citations: 2
  • Synchronization Problems in Synchronous Digital Hierarchy (SDH) Communication System and Master Slave Strategies
    A Agwekar, M Ahmed, R Singh, R Ahmed
    International Journal of Scientific Engineering and Technology 1 (3), 197-199 , 2012
    2012
    Citations: 2
  • Advanced MATLAB Simulation of Electric Vehicle DC-DC Buck Converter with Brushless DC Motor Integration
    MS Bisen, A Agwekar
    Journal homepage: www. ijrpr. com ISSN 2582, 7421 , 2025
    2025
    Citations: 1
  • De-noising MRI Image of High Density Different Noise using Linear and Nonlinear Threshold Filter
    M Bhushan, A Agwekar
    IJIRTM 8 (4), 24-35 , 2024
    2024
    Citations: 1
  • Designing of Extra Low Power Multiple Transistor with Single-Phase Clocking FF Designs with Improved Performance
    P Singh, N Pandey, A Agwekar
    JOURNAL OF COMPUTING TECHNOLOGIES (JCT) I 11 (04), 01-09 , 2022
    2022
    Citations: 1
  • Review of Shortest Path Wireless Sensor Network Performance with Energy-Efficient Approaches
    A Sahu, N Pandey, A Agwekar
    2021 International Conference on Artificial Intelligence and Smart Systems … , 2021
    2021
    Citations: 1
  • Adaptive Frequency Reuse of Beam Allocation for Massive MIMO System using BP Neural Network Model
    K Thakre, M Shrivastava, A Agwekar
    2nd International Conference on Data, Engineering and Applications (IDEA), 1-6 , 2020
    2020
    Citations: 1
  • VHDL Simulation of Tu-11/Tu-12 in Synchronous Digital Hierarchy
    SG Kerhalkar, M Ahmed, A Agwekar
    International Journal of Engineering Research 2 (2), 102-107 , 2013
    2013
    Citations: 1
  • An AI-Integrated Electrical and Communication System for Automated Monitoring and Control
    SKM Abhishek Agwekar, Nivedita Tiwari, Kiran Sharma, Nishi Pandey, Poonam ...
    IN Patent App. 202621007828 A , 2026
    2026
  • Analysis of Shape and Margin in Analog Computing Circuit: Design and Performance Evaluation with Machine Learning
    LS Abhishek Agwekar
    Proceedings of International Conference on Communication and Computational … , 2026
    2026
  • Finite Impulse Response using Different Multiplier and Adder: A Study
    N Gupta, A Agwekar, S Gupta
    International Journal of Advanced Research and Multidisciplinary Trends … , 2025
    2025
  • Shape and Margin Dynamics in Analog Computing: A Machine Learning Perspective
    A Agwekar, L Singh
    International Conference on Recent Advancements and Modernisations in … , 2025
    2025
  • Implementation of High Speed Cascode Cross-Coupled Stage Comparator in CMOS Technology
    N Pandey, L Singh, A Agwekar
    2025 10th International Conference on Signal Processing and Communication … , 2025
    2025
  • Analysis of Shape and Margin in Analog Computing Circuit: Design and Performance Evaluation with Machine Learning
    A Agwekar, L Singh
    International Conference on Communication and Computational Technologies … , 2025
    2025
  • Data-Driven Performance Evaluation of Analog Compu-ting Circuits: Shape and Margin Analysis with Machine Learning
    A Agwekar, L Singh
    2025