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Editorial-II

Scanning the Issue

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The September 2023 issue of the IETE Journal of Research (Volume 69, No. 9) contains 60 articles. These articles discuss ongoing research and recent advancements in the fields of communications, electromagnetics, opto-electronics, computers and computing, control engineering, electronic circuits, devices and components, instrumentation and measurements, medical electronics, and power electronics.

In the order of the subjects enumerated above, this issue contains four articles on communications. The first paper titled “A Novel Scrambled Data Hiding Approach towards securing sensitive Data”, addresses the problem of data security. It presents a scrambled data hiding mechanism for communications data without loss of information quality. The technique encrypts data using triple data encryption standard (DES) and embeds scrambled data in audio files using least significant bit. In “Satellite Constellation Concept for a Novel 3D Image Reconstruction of Urban Areas”, authors present a study of satellite constellation conception for 3D reconstruction of urban areas using optical cameras. In the next paper “On Topological Co-Indices of David Derived Networks,” authors study two types of David Networks in the context of the topological coindices of referenced nuclear diagrams, that commonly used in clinical, industrial, and material planning. They present analyses results from the study. The next paper on “Deep Learning Techniques for OFDM Systems” gives an overview of how deep learning techniques for OFDM systems have attempted to improve the system performance in terms of bit error rate, signal-to-noise ratio, and packet-error-rate (PAPR). This article also talks about the different deep learning frameworks that are relevant and also presents some future directions for investigation.

This issue has 12 papers on the broad area of electromagnetics. In “A Multiband E-Shaped Substrate Integrated Waveguide Based Antenna for X, Ku, K-Band Applications”, authors design a small, high-gain multiband antenna with the objective of good gain in compact size for radar and satellite communication applications. E-shaped patch in substrate integrated waveguide (SIW) cavity boosts primary radiation while its deficient ground structure facilitates multiband action. An equivalent circuit model ECM is given to analyze resonant circuit frequencies. The fabricated antenna and simulation gain results are compared in 10-20 GHz band. The next paper, titled “A Planar Printed Four-Element Pattern Diversity MIMO Antenna Based on Novel Quasi-Yagi Elements” describes the design of a compact size planar printed quasi-Yagi antenna with a wide frequency range for MIMO antenna systems. The antenna has a coplanar ground-shorted reflector, a strip director, and a rectangular driven monopole in place of a dipole. The measured bandwidth and directional pattern characteristics are reported. In “Application of Theory of Characteristics Modes for Bandwidth Enhancement of a Miniaturized Minkowski Fractal Antenna,” authors present a miniaturized Minkowski fractal antenna with a linearly polarized impendence bandwidth at lower frequencies. The study of symmetric dominant modes to be excited is given to generate the required radiation pattern. The measured and simulated characteristics are presented and a case for use for L and S band and UWB wireless communication is made. The paper “Conducting Side Sheet Loading to Enhance the Bidirectional Gain of a Wide Rectangular Slot Antenna in the 6-8.5 GHz Band” presents the study of loading two conducting sheets on the edges of the ground plane to improve bidirectional gain in a wide rectangular slot antenna. The design provides a higher average band gain of 3.99 dB. The notable feature is the non-resonant nature of the method that adds gain evenly across the entire original impedance band with bidirectional gain pattern.

The paper “Design of a 1*4 Microstrip Antenna Array on the Human Thigh with Gain Enhancement” presents the design, simulation study and fabricated device performance measurement comparisons for a stacked circular-microstrip patch antenna with high gain at 2.45GHz for ISM band applications. The antenna is minimized for mounting in array structure and provide high gain and pattern scan. The presented array structure is suitable for medical applications requiring mounting on human thigh. In “Design of Circular Shaped Microstrip Textile Antenna for UWB Application”, the design details of a small, circular, wearable ultra-wide band (UWB) antenna is presented. Denim material is used as non-conducting dielectric material for the study of wearable application use. The antenna has wideband from 2.27GHz to 15.18 GHz and its bending performance is also tested. Results from simulation and fabricated antenna are compared and inferences are made. The paper on “Dual Frequency Millimeter-Wave Perturbed Ring Patch Antenna Array for 5G Applications”, presents the design of a dual-band antenna array in TM11 resonance for 5G communications. A single-element ring patch antenna is designed by etching three circular slots at different angles that creates resonance at 28 GHz. Another resonance at 36 GHz is created from a 4-element antenna array. The paper presents results from simulation study and comparisons with a fabricated antenna. In “Integral-Square-Error based Normalized Relative Gain Array for the Input-Output Pairing and Equivalent Transfer Function Design of MIMO processes,” the authors present a modified array for input-output pairing to minimize loop interaction in MIMO processes and prevent integral instability. The design of first-order and second-order equivalent transfer functions are presented. Design example is presented to illustrate the method.

The next paper titled “Novel H shape EBG in E plane for Isolation Enhancement of Compact CPW-fed Two-Port UWB MIMO Antenna,” presents a method to reduce the mutual coupling of closely spaced two port antenna elements with H-shape EBG in the E-plane. The antenna is shown to provide UWB MIMO antenna isolation of more than 20 dB in the entire operating band, gain of more than 4 dB and other characteristics as discussed in the paper. The paper “On-demand Reconfigurable WiMAX/WLANUWB-X band High Isolation 2x2 MIMO Antenna for Imaging Applications” presents the design of a 24x48 mm2diversity antenna that rejects interfering bands from the operating band for UWB-X band applications. An anchor-shaped stub placed in a slotted radiating patch and an externally connected C-type stub produce two sharply rejecting bands for the WiMAX and WLAN. The good time-domain features and other characteristics of the MIMO antenna are presented. In the next paper on “Size Miniaturisation and Isolation Enhancement of Two Element Antenna for sub-6 GHz Applications” the authors present the design of a high-isolation dual-band, two-port antenna. The aspects for miniaturization of the antenna are discussed. T-shaped stubs isolate it at higher frequencies. It supports many frequency bands for wireless communication. The following paper “Wideband MIMO Antenna Mutual Coupling Reduction with Electromagnetic Band-gap Structure” describes the design of a compact, planar, two-port wideband MIMO antenna with 94.55% fractional bandwidth from 2.08 GHz to 5.81 GHz. Fabricated antenna properties are compared with simulation parameters and inferences are drawn about the suitability for 5G (sub-6 GHz band) and 4G bands including Bluetooth, LTE, WLAN and WiMAX.

Thirteen articles cover the area of Computers and Computing. In “A Novel Approach for Data Classification Using Neural Network”, authors propose multiview learning method using multi-layer perceptron (MLP) and radial basis functions (RBF) with dynamic decay adjustment for data classification. The paper presents the efficacy of the learning method that is expected to provide improvement in applications such as change detection in images, speech recognition and biometric identification. The article “A Review on Applications of Artificial Intelligence over the Indian Judicial System” proposes using AI in the legal field to assist in resolving pending cases and providing prompt justice. To help the Indian Legal System provide justice quickly, researchers evaluate prior studies on the issue, noting both the challenges and benefits of studying the many ways AI can be used in law. The next paper “A Stateless Spatial IPv6 Address Configuration Strategy for Internet of Things” presents a stateless spatiotemporal IPv6 addressing scheme called four-dimensional IP addressing (FDIPA) based on the hypothesis that two items cannot be in the same place at once. The paper shows that FDIPA achieves good assignment success rate with low energy usage and network overhead. In “Efficiency Analysis of Cryptographic Algorithms for Image Data Security in Cloud Environment,” the authors present the evaluation of AES, DES, 3DES, Blowfish, RC4, and RSA for efficiency of encryption on basis of image data analysis. The algorithms' security and performance are assessed using differential cryptanalysis, statistical analysis, and key sensitivity analysis. The paper “Improved Decision Tree Model for Prediction in Equity Market using Heterogeneous Data” presents a technique to increase individual decision trees in the forest to improve precision. Forest trees are trained to employ a set of rotation spaces connected to a higher-level space at the parent node. The work demonstrates the use of heterogeneous information from social media sources, news etc. to improve the prediction of stock market indices compared to only historical data based prediction.

The paper titled “Impulsive Behaviour Detection System using Machine Learning and IoT” analyzes physiological data using machine learning and IoT to alert about a person’s behavioural pattern. Comparisons of performance are reported. In “Matrix Factorization in Recommender Systems: Algorithms, Applications, and Peculiar Challenges,” the author presents the research reported on matrix factorization for recommender systems including the distinctive challenges and the problems solved. The paper “OF-FZ:An Optimized Objective Function for the IPv6 Routing Protocol for LLNs” introduces OF-FZ, a four-metric routing objective function. The function is evaluated in terms of energy consumption, packet delivery ratio, end-to-end delay with existing objective functions and inferences are presented. In the study titled, “Semantic-Based Integrated Plagiarism Detection Approach for English Documents” a model is presented for plagiarism detection that leverages semantic aspects in the English language documents. Each suspicious and source sentence has a dynamic relationship matrix created using semantic properties. The study examines how well different features operate to discover plagiarism and how to weight the best features to increase system efficiency.

In “Solving Partially Observable Environments with Universal Search Using Dataflow Graph Based Programming Model” authors present a functional programming paradigm for data flow graphs in universal search for solution program generation. The researchers demonstrate how similar program pruning can solve semantically redundant program generation. Compared to current methods, the proposed agent is shown to perform well in partially observable scenarios. In “PEFT Based Trade-Off Schedule Plan for Execution IoT Applications in Cloud Environment,” authors present a cost and time constrained computationally intelligent heuristics for scheduling tasks in cloud. The paper presents simulation study of synthetic IoT application tasks to infer about the heuristics. The paper on “Automatic Text Summarization of Konkani Folk Tales Using Supervised Machine Learning Algorithms and Language Independent Features” studies the problem of automatic test summarization in a low-resource language. The authors discuss the training of supervised machine learning algorithms with language-independent characteristics using a Konkani dataset for folktale literary experiments. Conclusions are given regarding the summarization without requirement of language specific domain knowledge. The authors of “Company Ranking Prediction Based on Network Big Data,” use Learning-to-Rank (LtR) to anticipate company rankings for proposing a Company Ranking Prediction Model (CRPM). The paper gives details of the methods used and results of comparison with other prediction models.

These four articles cover various control engineering topics. In “Fuzzy Logic-based Self-tuning PID Controllers using Parameters Adaptive Method for Stabilization of a Two-axis Seeker Gimbal” the authors present the design of a fuzzy PID controller suitable for guided missiles. The recommended controller's gimbal stabilization loop response is compared to a normal PID controller in simulation studies for different missile rotation rates. The next paper, “Robust Design of Tilted Integral Derivative Controller for Non-Integer Order Processes with Time Delay,” presents the design of a tilted integral derivative controller. The gains of the controller are based on frequency-domain analysis method. The design method is evaluated using step response characteristics and other performance criteria for different tilt component scenarios and compared to literature-based methods. The performance is also reported for a real-time temperature control system and compared to other methods. In “Polynomial-based Stability Analysis of Modified IMC-PID Controller for Piezoelectric Actuator System in Time Delay Environment,” the authors study a controller for piezoelectric actuator system to reduce hysteric nonlinearity. They study time delay uncertainty using a computationally inexpensive PID-based modified Internal Model Controller (MIMC). The delay margin was estimated using polynomials. Time-delay simulations are compared with the theoretical results to draw inferences. In “Computing Dominant Poles of High-Dimensional Transfer Functions Using Modified Clustering Method” the authors present a model order reduction method using a pole dominance criterion. The dominant pole-based ROM solutions were translated to a lower-dimensional state-space and compared. The given method attempts to preserve both the transient and steady-state response of the original system. Its performance is compared with other methods from the literature to draw inferences about the efficacy of the proposed method.

This issue includes two papers from electronic circuits, devices, and components area. In “A 23 dBm Gain Shaping Stacked Power Block CMOS Power Amplifier Achieving 36% PAE”, the authors present a design solution that reduces the trade-off between linearity and power added efficiency in CMOS power amplifiers. A stacked power block is used to reduce the effect of gate-source capacitance to linearize the power amplifier. A wireless SoC with such apower amplifier is expected to be useful in reducing the chip power consumption. The authors of “Experimental Verification of a New Oscillation Based Test Algorithm for Analog Circuits” present an oscillation-based test method to replace specification-based testing of analog circuits and their experimental confirmation. Component fluctuations in the circuit under test cause the oscillation frequency to exceed tolerance and detect flaws. Using a digital circuit to process oscillation frequency improves test precision.

One article in this issue deal with instrumentation and measurement. In “Testing Setup & Delay Compensation in HILS of Aerospace Systems,” authors investigate Hardware in Loop Simulation (HILS), for the design and development of aerospace vehicle sub systems. Techniques to compensate inherent delays in HILS test-bed are implemented and their negative impacts examined.

The number of articles on medical electronics in this issue is five. A deep convolution network design for chest x-ray based recognition of coronavirus is presented in “An Enhanced Deep Network for Recognizing the Disease using X-ray Images”. A Generative Adversarial Network is used in this study. It employs transfer learning to refine parameters from the pre-trained model. The performance is verified by measuring accuracy, recall, precision, and F1score. In “Estimation of severity in Parkinson's Disease using Acoustic Features of Phonatory Tasks,” authors study how sustained phonetic tasks (/a/, /u/, /m/) objectively evaluate the motor UPDRS score to remotely monitor Parkinson’s disease motor symptoms. Volunteers' motor UPDRS scores were assessed using SVM, RF, and AdaBoost regression models. This study shows the possibility of evaluating the disease using vocal features from sustained phonetic activities in PD patients. The paper on “Extreme Learning Machine (ELM) based Performance Analysis and Epilepsy Identification from EEG Signals” compares EEG features with Singular Value Decomposition and Extreme Learning Machine output to predict epilepsy. This paper presents a 20-patient study with measures such as Performance Index (PI), Sensitivity (Se), Specificity (Sp), Average Detection (AD), and Good Detection Ratio (GDR) to present inferences about the efficacy of identification. The paper “Quantitative Analysis of Fundus Image Enhancement in Detection of Diabetic Retinopathy using DnCNN” describes a fundus image noise removal and enhancement method. The proposed DnCNN-based contrast enhancement method is compared with other methods in simulations. The paper on “Respiratory Effort Signal based Sleep Apnea Detection System using Improved Random Forest Classifier” presents a sleep apnea detection system that uses a sleep database's single-channel abdominal respiratory signal. The detection method uses discrete wavelet transform energy, time domain respiratory rate variability, and Abd RES Shannon entropy. Results are presented and compared to show the method’s efficacy.

This issue contains 19 power electronics research articles. In the paper titled “A Novel Islanding Detection Technique Based on Piezoelectric Sensors for Grid Integrated DG Systems,” the authors present an islanding detection technique with piezoelectric sensors for distributed generation sources (DGs) operating in a grid-integrated mode. It detects frequency variations during grid disruptions. Hardware in loop virtual simulated responses bring out the efficacy of the method. The paper on “A Review on Static Reconfiguration Techniques of Solar PV to Mitigate Mismatch Loss and Minimize Partial Shading Effect,” presents a review of reconfiguration based techniques of solar photo voltaic (PV) units to minimize losses and shading effects. The authors explain how sunshine, temperature, tilt angle, and partial shade affect PV panel power production. Partial shading undermines these configurations. To reduce PSC, PV array units are shifted. This study examines new reconfiguration-based strategies published and organizes solutions into categories. In “Accelerating Time-Current (ATC) Curve Computation of Induction Motor from Manufacturer Data,” a method is described for constructing ATC curves from motor manufacturer data sheets without using simulation tools. Motor power and current curve mathematical models taking into effect nonlinear deep-bar effect are incorporated in determining the ATC curves. The ATC curve accuracy is compared with dynamic simulations to make inferences. In “An Adaptive Algorithm for Battery Charge Monitoring Based on Frequency Domain Analysis,” the authors discuss an automotive electrical system with one battery, alternator, starter solenoid, and starter motor. The effects of a car's battery charge on its operation is studied in simulation environment. Time-domain and frequency-domain analysis are presented for helping in designing a system for vehicle diagnosis and quality control applications.

The paper on “Application of Radial Basis Neural Network in MPPT Technique for Stand-Alone PV System under Partial Shading Conditions” presents a controller to monitor PV systems' maximum power point (MPP). For optimal voltage estimation, the Radial Basis Neural Network (RBNN)-based ANN is used. Field data is used as inputs to the RBNN. Simulation studies of energy imbalance scenarios and system response are reported. The results show that the intrinsic learning-based controller's faster tracking rates and increased efficiency conversion increase PV system reliability. The paper “Combined Voltage and Frequency Control for Diverse Standalone Microgrid Networks Using Flexible IDC with Novel FOC: AReal-time Validation” presents a fractional-order controller (FOC) and flexible improved droop control (IDC) to regulate voltage, frequency, and power in a variety of standalone low-voltage AC microgrid (MG) networks. Virtual power, virtual negative resistance, inductance, and FOC are used to design an IDC into the control loop to ensure power decupling and correct VSC-based distributed generator feeder voltage drop. The control approach is evaluated on a real-time virtual platform with hardware in the loop to demonstrate its real-world performance. In the next paper, titled “Combined Voltage and Frequency Control of Multiarea Multisource System using CPDN-PIDN Controller,” the authors present a multi-area, multi-source system with a combined automatic load frequency controller and an automatic voltage regulator model. The effect of renewable sources like wind and geothermal on the system dynamics is studied and analysis shows the relative reliability of geothermal power plant compared to wind plant. The system’s experimental study using real-time simulations is presented.

The next paper titled “EPFG: Electricity Price Forecasting with Enhanced GANS Neural Network,” presents a Generative Adversarial Networks (GANS) neural network model for probabilistic power price forecasting. The model is compared with Random Forest, SVM, and XG-Boost models. Model performance is assessed using MSE, RMSE, and MAE measures and inferences are made about the efficacy of the model. In “Fault Classification in a TCSC Compensated Transmission Line during Power Swing using Wigner-Ville Transform,” the authors present a power swing fault classification technique. This study introduces an energy-based Wigner Ville fault classification algorithm. Tests and validation using a modified 9-bus system is presented. Modelling and hardware testing brings out the efficacy of classifying faults accurately. The authors of “Identification of Faults in Invisible Underground Broken Transmission Lines,” consider the problem of short circuit detection in underground electricity distribution cables. A device is developed using an Android app to deal with faults in underground lines. The approach distinguishes short circuit fault from other kinds of faults. In “Optimal Capacitor Placement for Unbalanced Distribution System: Using Graph Theory,” the authors propose a graph theory-based method of capacitor bank allocation is presented for an unbalanced distribution system. A single-stage optimization approach employs an electrical centrality measure to identify the optimal capacitor location and optimize the size of the capacitor using two objective functions.

The paper on “Optimal Design for Super capacitor/Battery Power Management Applied in Electric Vehicle Applications: A Hybrid Methodology” presents an optimal control system for energy management of hybrid energy storage system with battery and super capacitor on electric vehicles. The paper describes the optimization method based on swarm optimization. The quality of the hybrid energy energy storage system is analyzed by comparing with other systems. The next paper “Performance Analysis of Multi-Level Inverter-fed Position Sensorless PMSM Drive using Modified MPTC,” examines the performance of a multi-level inverter fed position sensorless PMSM drive with a modified Model Predictive Torque Control method for two- and three-level inverters. A Model Reference Adaptive System based speed sensorless method eliminates the requirement ofa position sensor. Experimental results are compared with simulation studies under no-load, load and change in speed conditions. The design, fabrication, installation, and power prediction of a revolutionary rotary energy system are described in “Performance assessment of a Novel Eco-Friendly Solar Panel Mounted Hybrid Rotating Energy System with Renewable Energy Applications”. A solar-wind energy based hybrid system is proposed. The efficiency in energy production is demonstrated for the hybrid rotating energy system. The paper on “Protection strategies for AC and DC Microgrid – A Review of Protection Methods Adopted in Recent Decade” reviews microgrid protection strategies and their challenges. It explains the prior work on protection schemes for AC and DC microgrid.

The authors of “Real Time Implementation of Pollination Based Techniques for Radial Electricity Distribution Network Reconfiguration” recommend removing radial distribution system equipment in distribution system reconfiguration to improve performance. Real power losses in the overall system are reduced by using a Flower Pollination Algorithm. The paper presents the algorithm’s performance in terms of search space and time to obtain optimal solution. The suggested strategy lowers search space and finds the best answer rapidly. The paper “Repositioning of Series-Parallel, Total-Cross -Tide, Bridge-Link, and Honey-Comb PV Array Configurations for Maximum Power Extraction” examines standard PV array power generation that is considerably reduced by partial shading conditions. Repositioning PV panels reduces the problem. This paper explores how physical repositioning applied to series-parallel (SP), total-cross-tide (TCT), bridge link (BL), and honey-comb (HC) configurations without changing electrical connectionsis useful. The effects of panel displacement impacts power extraction, efficiency, and other measures are studied. The paper discusses which design maximizes power extraction without or with reconfiguration. Simulation studies are presented fora 4x4 PV array subjected to various shading patterns.

The paper “Swarm Evaluated Threshold Elimination Approach for Symmetrical Fault Detection during Power Swing” discusses how relaying may use swarm intelligence to detect symmetrical flaws during power switching. A simple fault detector using three-phase active power is created, and particle swarm optimization (PSO) is applied to identify the best threshold elimination factor (TEF) using fault and swing parameters as decision variables. The proposed scheme is compared to current approaches to bring out its efficacy. The paper “30o Discontinuous PWM based Closed Loop volts/Hz Control of Induction Motor Drive with Slip Regulation,” presents a method of discontinuous pulse width modulation basedcontrol of induction motor drive with slip regulation. A speed control solution that is robust and ideal for low-accuracy applications is presented. The effectiveness of inverter-fed induction motor PWM schemes is reported analytically and through simulation study, and experiments.

Additional information

Notes on contributors

Arun Kumar

DEPUTY EDITORS-IN-CHIEF

Arun Kumar is with the Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi, since 1997. He became professor in 2008 and has served as head of Centre for more than 7 years. He obtained the BTech, MTech and PhD degrees from Indian Institute of Technology Kanpur in 1988, 1990 and 1995, respectively. He was visiting researcher at the University of California, Santa Barbara, USA from 1994 to 1996 before joining IIT Delhi. His research interests are in digital signal processing, under water and air acoustics, human and machine speech communication, and multi-sensor data fusion. Professor Arun Kumar is an inventor on 10 granted US patents. He has guided 16 PhD theses and 180 Master’s theses. He has authored/co-authored 160 papers in peer reviewed journals and conferences. He has been project investigator/co-investigator for 72 funded R&D projects from industry and government. These projects have led to several technology and know-how transfers. Many of the technologies co-developed by him are deployed in the field and are in practical use. Professor Arun Kumar has served on several technical and organization committees of conferences, and on national level committees in electronics and defence fields. He is co-founder and director of a company that develops signal processing and AI based technologies and products for speech-based and multi-modal human and machine. He is currently deputy chief editor of IETE Journal of Research. Email: [email protected]

Shiban K. Koul

EDITOR-IN-CHIEF

Shiban K Koul is currently an emeritus professor at the Indian Institute of Technology, Delhi. He served as deputy director (Strategy and Planning) at IIT Delhi from 2012-2016 and mentor deputy director (Strategy & Planning, International Affairs) at IIT Jammu from 2018-2021. He also served as the chairman of Astra Microwave Products Limited, Hyderabad from 2009-2019 and Dr R P Shenoy Astra Microwave chair professor at IIT Delhi from 2014-2019. His research interests include RF MEMS, high frequency wireless communication, microwave engineering, microwave passive and active circuits, device modelling, millimetre and sub-millimetre wave IC design, body area networks, flexible and wearable electronics, medical applications of sub-terahertz waves and reconfigurable microwave circuits including miniaturized antennas. He successfully completed 38 major sponsored projects, 52 consultancy projects and 61 technology development projects. He has authored/co-authored 601 research papers, 22 state-of-the art books, 4 book chapters and 2 e-books. He holds 26 patents, 6 copyrights and one trademark. He has guided 30 PhD thesis and more than 100 Master’s theses. He is a Life Fellow of IEEE and Fellow of INAE and IETE. He is the chief editor of IETE Journal of Research, associate editor of the International Journal of Microwave and Wireless Technologies, Cambridge University Press. He served as a Distinguished Microwave Lecturer of IEEE MTT-S for the period 2012-2014.

Recipient of numerous awards including IEEE MTT Society Distinguished Educator Award (2014); Teaching Excellence Award (2012) from IIT Delhi; Indian National Science Academy (INSA) Young Scientist Award (1986); Top Invention Award (1991) of the National Research Development Council for his contributions to the indigenous development of ferrite phase shifter technology; VASVIK Award (1994) for the development of Ka-band components and phase shifters; Ram Lal Wadhwa Gold Medal (1995) from the Institution of Electronics and Communication Engineers (IETE); Academic Excellence Award (1998) from Government of Indian for his pioneering contributions to phase control modules for Rajendra Radar, Shri Om Prakash Bhasin Award (2009) in the field of Electronics and Information Technology, VASVIK Award (2012) for the contributions made to the area of Information, Communication Technology (ICT) and M N Saha Memorial Award (2013) from IETE. His name has recently figured in the Scopus Elsevier top 2% Scientists under the Category “Year 2021”.

Ranjan K. Mallik

Ranjan K Mallik (FIETE, FIEEE, FIET, FTWAS, FNAE, FNA, FNASc, FASc) is an Institute chair professor in the Department of Electrical Engineering, Indian Institute of Technology (IIT) Delhi. He received the BTech degree from IIT Kanpur and the MS and PhD degrees from the University of Southern California, Los Angeles, all in electrical engineering. He has worked as a scientist in the Defence Electronics Research Laboratory, Hyderabad, India, and as a faculty member in IIT Kharagpur and IIT Guwahati. His research interests are in diversity combining and channel modelling for wireless communications, space-time systems, cooperative communications, multiple-access systems, power line communications, molecular communications, difference equations, and linear algebra. He is a recipient of the Shanti Swarup Bhatnagar Prize, the Hari Om Ashram Preriot Dr Vikram Sarabhai Research Award, the Khosla National Award, the IETE Ram Lal Wadhwa Award, the IEI-IEEE Award for Engineering Excellence and the J C Bose Fellowship. He is a member of Eta Kappa Nu and a Fellow of IEEE, the Indian National Academies INAE, INSA, NASI, and IASc, TWAS, the West Bengal Academy of Science and Technology, IET (UK), IETE (India), The Institution of Engineers (India) and the Asia-Pacific Artificial Intelligence Association. He served as an area editor and an editor for the IEEE Transactions on Wireless Communications, and as an editor for the IEEE Transactions on Communications. He was a Technical Program Committee (TPC) co-chair for the Wireless Communications Symposium of IEEE GLOBECOM 2008 and IEEE ICC 2010, a TPC co-chair for the PHY Track of IEEE WCNC 2013, and a TPC co-chair for the Communication Theory Symposium of IEEE ICC 2021. He is currently deputy chief editor of IETE Journal of Research. Email: [email protected]

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