Organization

Start Date

End Date

Designation

Nature of Work

MANIT (MACT) Bhopal

06-02-1997

05-02-2002

Lecturer

Teaching

MANIT (MACT) Bhopal

05-02-2002

13-07-2005

Sr. Lecturer

Teaching

MANIT Bhopal

14-07-2005

13-07-2008

Assistant Professor

Teaching

MANIT Bhopal

13-7-2008

14-07-2012

Associate Professor

Teaching and Research

Name of the Student

Topic

Year of Award

Co-Supervisor (if any)

Rini Smita Thakur

Design and Analysis of Image Denoising Techniques

2023

Dr. Lalita Gupta

Dharmendra Sadhwani

SEP Analysis of Various Digital Modulation Schemes over AWGN and Fading Channels

2018

---

Sanyam Shukla

Modified Extreme Learning Machine and Ensemble Pruning Techniques for Pattern Classification

2015

---

Subhash Mishra

Some Investigations on Smart Antennas using Neural Networks

2015

Dr. R.P. Singh

Poonam Sharma

Certain Face Recognition Algorithms for Person Identification

2014

Dr. K.V. Arya, IIITM Gwalior

Manish Sawale

Improved Algorithm for Detection of Signals in Rayleigh Channel

2014

---

Manasi Gyanchandani

Performance Enhancement of Anomaly Based Intrusion Detection System

2013

Dr. J.L. Rana (CSE)

Abhishek Rawat

Design and Analysis of Dynamically Phased Array Smart Antenna Using Optimization Techniques

2012

Dr. S.C. Shrivastava

Agya Mishra

HONN based Adaptive EKF Techniques for Nonlinear Estimation

2012

Dr. D.K. Trivedi

Kavita Burse

A Novel Approach for Channel Equalization Using Multiplicative Neural Networks

2010

Dr. S.C. Shrivastava

Title

Sponsoring Agency

Duration

Amount

Co-PI (if any)

All in one ERP Solutions with Artificial Super Intelligence,

Title

Sponsoring Agency

Duration

Amount

Co-Investigator                       (if any)

Verification of specifications and demonstration of different types of electronics equipment

MPLUN Bhopal

2016

6.85 Lakhs

Dr. D.K. Raghuvanshi

Verification of specifications and demonstration of different types of electronics equipment

MPLUN Bhopal

2015

1.85 Lakhs

Dr. D.K. Raghuvanshi

Verification of specifications and demonstration of different types of electronics equipment

MPLUN Bhopal

2014

3.39 Lakhs

Dr. D.K. Raghuvanshi

Verification of specifications and demonstration of different types of electronics equipment

MPLUN Bhopal

2013

1.85 Lakhs

Dr. D.K. Raghuvanshi

Testing of Phones with built-in GPS with GSM/GPRS/EDGE, 3G Technology make Motorola model ES 400

MPLUN Bhopal

2011

0.33 Lakhs

Dr. S.C. Srivastava

Authors

Title

VOL. NO.,

PAGE NO

YEAR

SCI/

Scopus

IMPACT FACTOR

Rini S. Thakur, Shubhojeet Chatterjee, R.N.Yadav and Lalita Gupta

Nature-Inspired DBN based Optimization Techniques for Image De-noising

Intelligent Systems with Applications, Elsevier

Vol. 18,  Article No. 200211

2023

Scopus

1.13

Swati Soni, R.N.Yadav and Lalita Gupta,

State-of-the-Art Analysis of Deep Learning-Based Monaural Speech Source Separation Techniques

IEEE Access

Vol.11, pp. 4242-4269,

2023

SCIE

3.9

Aditya Powari, Dharmendra Sadhwani, Lalita Gupta and R.N. Yadav,

Novel Romberg Approximation of the Gaussian Q Function and its Application over Versatile  Shadowed fading Channel

Digital Signal Processing, Elsevier,

Vol.132, Article No. 103800, 

 2022

SCIE

2.9

Aditya Powari, Dharmendra Sadhwani, Lalita Gupta and R.N. Yadav

Optimization of the Exponential Bounds on the Gaussian Q Function using Interior Point Algorithm and its Application in Communication Theory

IEEE Open Journal of the Communication Society

Vol.3, pp. 1540-1552

2022

SCIE

7.9

Shubhojeet Chatterjee, Rini S. Thakur, R.N.Yadav and Lalita Gupta

Sparsity-Based Modified Wavelet De-Noising Autoencoder for ECG Signals

Signal Processing, Elsevier 

Vol.198, Article No. 108605

2022

SCIE

4.4

Dharmendra Sadhwani and  R.N.Yadav,

Novel MGF Expressions of F Composite Fading Channels with Applications

International Journal of Electronics and Communications (AEU), Elsevier

ol.138, Article No. 153889,

2021

SCIE

3.2

Rini S. Thakur, Shubhojeet Chatterjee, R.N.Yadav and Lalita Gupta

Image De-noising with Machine Learning: A Review”

IEEE Access

Vol.9, pp. 93338-93363,

2021

SCIE

3.9

Rini S. Thakur, R.N.Yadav and Lalita Gupta

PReLU and Edge Aware Filter Based Image Denoiser using Convolutional Neural Network

IET Image Processing

Vol.14, No.15, pp. 3869-3879

2020

SCIE

2.73

S. Chatterjee, Rini S.Thakur, R.N. Yadav, L.Gupta and D.K. Raghuvanshi,

Review of Noise Removal Techniques in ECG Signals

IET Signal Processing,

Vol. 14, No. 9, pp.569-590

2020

SCIE

1.82

Dharmendra Sadhwani and  R.N.Yadav,

A Comprehensible Form of the Product of Two Gaussian Q Functions and its Usefulness in κ−μ Shadowed Fading Distribution

Journal of the Franklin Institute, Elsevier

Vol. 357, No.8, pp. 5110-5123

2020

SCIE

4.1

Rini S. Thakur, R.N.Yadav and Lalita Gupta

State-of-Art Analysis of Image Denoising Methods using Convolutional Neural Networks

 IET Image Processing, 

Vol.13, No.13, pp. 2367-2380

2019

SCIE

2.73

Dharmendra Sadhwani and R.N.Yadav,

On the Average of the Product of Two Gaussian Q Functions over η−μ and κ−μ Fading Channels using MRC Diversity Reception

IET Communications, 

Vol.13, No.8, pp. 981-987

2019

SCIE

1.344

Dharmendra Sadhwani , R.N.Yadav, S. Aggrawal and D.K. Raghuvanshi

Simple and accurate SEP approximation of hexagonal-QAM in AWGN channel and its application in parametric α-μ, h-μ, k-μ fading and log normal shadowing

IET Communications

Vol.12, No.12, pp. 1454-1459

2018

SCIE

1.344

Dharmendra Sadhwani and  R.N.Yadav

Simplified Approximations to the Average of Some Useful Forms of Gaussian Q functions with MRC Diversity Reception over Nakagami-q and Rician Fading Channels and their Applications

International Journal of Electronics and Communications (AEU), Elsevier,

Vol.82, pp. 167-176

2017

SCIE

3.2

Dharmendra Sadhwani and  R.N.Yadav and S. Aggrawal

Tighter Bounds on the Gaussian Q Function and Its Application in Nakagami-m Fading Channel

IEEE Wireless Communications Letters

Vol.6. no.5, pp. 574-577

2017

SCIE

6.3

Dharmendra Sadhwani and  R.N.Yadav

A Simplified Exact expression of SEP for Cross QAM in AWGN Channel from  M×N Rectangular QAM and its usefulness in Nakagami-m Fading Channel

International Journal of Electronics and Communications (AEU), Elsevier

Vol.74, pp. 63-74

2017

SCIE

3.2

Sanyam Shukla and R.N.Yadav

Regularized Weighted Circular Complex Valued Extreme Learning Machine for Imbalanced Learning

IEEE Access

Vol. 3, pp. 3048-3057

2015

SCIE

3.9

Subhash Mishra, R.N.Yadav and R.P. Singh,

Directivity Estimations for Short Dipole Antenna Arrays Using Radial Basis Function Neural Networks

IEEE Antennas and Wireless Propagation Letters

Vol.14, pp.1219-1222

2015

SCIE

4.2

Poonam Sharma, R.N.Yadav and K.V. Arya

Pose Invariant Face Recognition using Curvelet Neural Network

IET Biometrics

Vol.3, Issue 3, pp. 128-138,

2014

SCIE

2.72

Poonam Sharma, K.V. Arya and R.N.Yadav

Efficient Face Recognition Using Wavelet based Generalized Neural Network”, 

Signal Processing, Elsevier,

Vol. 93, issue 6, pp.1557-1565

2013

SCIE

1.82

Abhishek Rawat, R.N. Yadav and S.C. Srivastava

Neural Network Applications in Smart Antenna Arrays: A Review

International Journal of Electronics and Communications (AEU), Elsevier,

Vol.66, Issue 11. pp. 903-912

2012

SCIE

3.2

Kavita Burse, R.N.Yadav and S.C. Srivastava,

“Channel equalization using neural networks: A Review

IEEE Transactions on System Man and Cybernetics Part-C: Applications and Reviews

Vol. 40, No.3, pp. 352-357,

2010

SCI/SCIE

8.7

Manish D. Sawale and R.N. Yadav

Detection of optimally quantized CDMA signals in Rayleigh Channel”

Journal of Telecommunications

Vol. 9, Issue 2, pp. 10-13

2011

Scopus

0.7

Kavita Burse, R.N.Yadav and S.C. Srivastava,

Fully Complex Multiplicative Neural Network Model and its Application to Channel Equalization

Springer Lecture Notes in Electrical Engineering, 

Vol. 67, pp. 493-501

2010

Scopus

0.15

R.N. Yadav, P.K. Kalra and Joseph John,

Time series prediction with single multiplicative neuron model”, 

Applied Soft Computing Journal, Elsevier,

Vol. 7, No.4, pp. 1157-1163

2007

SCIE

8.7

A. Yadav, D. Mishra, R.N. Yadav, S. Ray and P.K. Kalra

Time series prediction with single integrate-and-fire neuron

Applied Soft Computing Journal, Elsevier,

Vol.7, No.3, pp. 739-745

2007

Scopus

8.7

R.N.Yadav, P.K. Kalra and J. John

On the use of multiplicative neuron model in feedforward neural networks''

International Journal of Modeling and Simulation, Taylor and Francis

Vol. 26, No.4. pp. 331-336

2006

SCIE

3.1

R.N. Yadav, Nimit Kumar, P.K. Kalra and Joseph John

Learning with generalized mean based neuron model”, ,

Neurocomputing Journal, Elsevier

Vol. 69, pp. 2026-2032

2006.

SCIE

6.0

R.N.Yadav, P.K. Kalra and J. John

Neural network learning with generalized mean based neuron model

Soft Computing Journal, Springer

Vol.10, No.3, pp.257-263

2006

SCIE

4.1

Title

Year

Agency

Co-Investigator(if any)

Published/Granted