Kalimuddin Mondal

Scopus Publications

Improving IIoT Applications Through Process Control Using Convolutional Neural Networks: Smart Factory Technology Incorporating Deep Learning
Kalimuddin Mondal, Raachapalli Sunitha, Mohyedin Hamza, Gaurav Sethi, M. Uma Maheswari, Anni Princy B
2026 IEEE 3rd International Conference on Emerging Trends in Engineering and Medical Sciences Icetems 2025, 2026
Enhancing IIoT-based applications using advanced ML methods is increasingly important in order to meet smart factory objectives in the context of Industry 4. In particular, we investigate the embedding of CNNs in control-oriented paradigms in IIoT systems with a fundamental interest to improve performances of real-time control decisions, abnormal situations identification and optimal operation. Legacy process control systems are frequently poorly equipped to cope with the huge volumes of data emerging from contemporary IIoT systems, resulting in slowed systems, unplanned downtime and degradation of predictive capabilities. Inclusion of CNNs—popular for feature extraction and pattern recognition—has exemplified that deep learning models can be trained to 'understand' multivariate sensor data, predict deviations and adjust control parameters automatically with limited human interference. The approach consists in developing a hybrid IIoT architecture with embedded CNN models at the network edge to carry out low latency data processing and local decision making. Real-time datasets, collected from simulated and actual smart factory factories, are provided so that the CNN models can be trained and tested for different control tasks such as temperature, vibration and pressure monitoring in industrial machines. The experimental results demonstrate that the CNN-augmented process control system outperforms the conventional PID based strategies and other machine learning techniques in response time, accuracy, fault detection rate, and resource usage. Experiments report that the proposed CNN-based methods achieve the state-of-the-art detection sensitivity and the action of mistake compensation based on them could reduce the maintenance cost down to only 4% of what can be, with 1.15 times higher product output and consuming 27.5% less energy consumption. Moreover, the scalability and versatility of CNNs applied to various sensor data types, such scalable, flexible network structures are particularly appropriate for dynamic industrial environments with a changing system structure. This study confirms the revolutionary significance of deep learning models in the automation and optimization of industrial control systems to revolutionize manufacturing for a smarter and autonomous, as well as self-mending, IIoT era.
Silicon Microring Resonator-Based All-Optical Reversible 2 : 1 Multiplexer: Numerical Analysis
Sankarapuram Siva Saravana Kumar, Jakusani Shirisha, Sultan Mahaboob Basha, Kalimuddin Mondal, Vankadari Nagaraju, Alagar Raja, Manjur Hossain
Optical Memory and Neural Networks Information Optics, 2025
Abstract Future computing systems will likely require reversible logic gates since, in the best of circumstances; they are known to provide zero power dissipation. Reversible logic gates also have the advantage of minimizing quantum costs and unused outputs. In this work, reversible 2 : 1 multiplexer has been implemented using all-optical microring resonator. Reversible multiplexer is simulated in MATLAB at 260 Gbps. Some performance indicating factors such as “extinction ratio”, “contrast ratio”, “relative eye opening”, etc are analyzed and developed. The chosen optimal parameters can be validated practically.
Improving Accuracy of Detection of Fake Logo Using Random Forest in Comparison With CNN
Balaji Pavan, Kalimuddin Mondal
Aip Conference Proceedings, 2025
An efficient analysis and prediction of dyslexia based on eye movements using convolutional neural network compared with support vector machine for improve accuracy
Maddipudi Sanjana, Kalimuddin Mondal
Aip Conference Proceedings, 2025
Design of all-Optical Transmission Gate Using Silicon Microring Resonator
Jayanta Kumar Rakshit, Premkumar Selvam, Selvakumarasamy Kathirvelu, Sultan Mahaboob Basha, Kalimuddin Mondal, Vankadari Nagaraju, Bhaskarrao Yakkala, Manjur Hossain
Brazilian Journal of Physics, 2025
An Efficient Prediction of Sentiment in Social Media System Based on Novel Convolutional Neural Network Compared With Artificial Neural Network
M. Geetha, Kalimuddin Mondal
Aip Conference Proceedings, 2025
Real Time Fake Logo Prediction System Using K-Nearest Neighbors in Comparison With Recurrent Neural Network
Balaji Pavan, Kalimuddin Mondal
Aip Conference Proceedings, 2025
Integrating NLP for Intelligent Cybersecurity Risk Detection from Bulletins
Kalimuddin Mondal, U. Samson Ebenezar, L. Karthikeyan, P Gururama Senthilvel, B S Preetham
Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future Comp Sif 2025, 2025
The rate of developed threats increases and poses challenges when it comes to the recognition of the risks and measures to be taken. Current cybersecurity risk assessment is mainly done using word-of-mouth through reviewed security announcements, vulnerable product or service reports, and threat intelligence data feeds, all of which are time-consuming and often contain human errors. The use of Natural Language Processing (NLP) in cybersecurity brings the efficiency of automation where text information is analyzed with the aim of identifying and categorizing threats in real time. In this paper, NLP techniques including Named Entity Recognition (NER), sentiment analysis and topic modelling are used to analyze the security bulletins and determine the security threats. Supervised, semi-supervised, and unsupervised learning methods of the NLP system can bene fit to mine adequate security-related text data, identify suitable patterns and or make forecasts of susceptible vulnerabilities. The proposed framework is primarily a framework to improve threat intelligence through vulnerability, attack vectors, and related systems connection. In addition, NLP-based risk identification also has several advantages: it increases the accuracy of risk identification and decreases the time for risk detection, as well as strengthens cybersecurity infrastructure. The paper demonstrates that by applying the technique of IBM security bulletins, organizations can reduce the risks and improve the controls effectively. The paper concludes with areas of future work in enhancing the application of NLP techniques in cybersecurity with an agreement on the idea of adaptive models that reflects the dynamic and ever-changing nature and trends of cyber threats.
Performance Analysis of Resonant DC/AC Converters for Induction Heating Applications
S. Jaanaa Rubavathy, K. Sasikala, Prema Kandasamy, Kalimuddin Mondal, S H. Krishna Veni, S. Gomathi
2025 8th International Conference on Circuit Power and Computing Technologies Iccpct 2025, 2025
The research examines resonant inverters along with their power enhancement capabilities for applications in induction heating. The DC power source’s power consumption relies on the resonant capacitor size along with operating frequency and DC supply voltage rather than load amount or changes. Power circuit explanations have been used to create power comparisons that illustrate the properties of the Full bridge and Half Bridge LCL resonant converters. MATLAB is used to simulate both LCL converters, and the results are compared. Applications requiring high voltage, such as induction heating, are appropriate for HB LCL Performance.
Performance Analysis of a Rooftop PV System with Ground Mounted PV System
S. Jaanaa Rubavathy, S. Manoj, Mahaboob Basha, Prema Kandasamy, D. Kalimuddin Mondal, R. Manimegalai
Proceedings of the 9th International Conference on Inventive Systems and Control Icisc 2025, 2025
The present research focuses on a potentialway to replace energy sources based on fossil fuels with long-term solar energy sources. For the purposes of simulation, PvSyst software is employed. This compares as well as limits the temperature loss of Rooftop photovoltaic (PV) systems and Ground-mounted PV systems. Further- more, the obtained results are analyzed. Simulation is done with Pvsyst software for Rooftop and Ground mounted system, and the results were compared by considering temperature constraints. Energy produced in each case is measured and tabulated which results that rooftop gives better performance than ground mounted PV system. The primary objective is to compare the performance of rooftop and ground-mounted PV systems in terms of temperature losses and energy output using PvSyst simulations. It will also emphasize the goal of identifying the more efficient configuration for deployment in hot urban regions.
Power Enhancement in Resonant inverter with SEPIC Converter for Induction Heating applications under varying duty cycle conditions
S.Jaanaa Rubavathy, Kalimuddin Mondal, Thamizharasan. R, Mahaboob Basha, S. Gomathi, Devikala S
International Conference on Electrical Energy Systems Icees, 2025
Numerical analysis of all-optical microring resonator based 4:2 encoder and 3:8 decoder logic circuits in Z-domain
Sumanta Kundu, Sanjoy Mandal, Salem Balamurugan Mohan, Kalimuddin Mondal, Sultan Mahaboob Basha, Vankadari Nagaraju, Manjur Hossain
Journal of Optics India, 2025
Numerical Simulation of Silicon Microring Resonator-Based All-Optical Reversible BVF Gate
Manjur Hossain, Sultan Mahaboob Basha, Kalimuddin Mondal, Vankadari Nagaraju, Nagesh Kolagani
Optoelectronics Instrumentation and Data Processing, 2024
Design of all-optical basic logic gates using periodically poled lithium niobate
Optoelectronics and Advanced Materials Rapid Communications, 2024
Modeling of binary-coded decimal to seven segment display decoder using silicon microring resonator-based programmable logic device
Kalimuddin Mondal, Abdus Samad, V. Nagaraju, S. Mahaboob Basha, Manjur Hossain
Journal of Optics India, 2024
To design and develop soft robot gripper based on flexible manufacturing system (FMS)
W. X. Lim, C. H. C. Alexander, S. Sivakumar, R. Narendran, M. Kalimuddin
Aip Conference Proceedings, 2024
To develop facial expression control system by using image processing and neural network for the disability
Y. F. Chin, C. H. C. Alexander, S. Sivakumar, R. Narendran, M. Moorthi, M. Kalimuddin
Aip Conference Proceedings, 2024
Numerical Analysis of All-Optical Binary to Gray Code Converter Using Silicon Microring Resonator
Manjur Hossain, Kalimuddin Mondal
Optical Memory and Neural Networks Information Optics, 2024
2:1 Multiplexer-based all-optical NOT, AND, OR gates, one-bit half adder, and subtractor employing silicon microring resonator
Alagar Raja, Kalimuddin Mondal, Vankadari Nagaraju, Sultan Mahaboob Basha, Manjur Hossain, Jayanta Kumar Rakshit
Optical Engineering, 2024
Development and analysis of all-optical multipurpose OR, XOR, NAND, AND, NOR, and XNOR logic gates in a single unit using silicon microring resonator
Manjur Hossain, S. Mahaboob Basha, V. Nagaraju, Kalimuddin Mondal, Jayanta Kumar Rakshit
Optical and Quantum Electronics, 2024
Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique
Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta
Multimedia Tools and Applications, 2024
Real Time Fake Logo Prediction System Using K-Nearest Neighbors in Comparison With Recurrent Neural Network
Balaji Pavan, Kalimuddin Mondal
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Improved Accuracy in File Encryption using Noise Images as Key for AES Algorithm in Comparison with Salsa20 Algorithm
J Jashwanth, Kalimuddin Mondal
Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
Efficient Fake Logo Prediction Through Convolutional Neural Networks Over K-Nearest Neighbors
Balaji Pavan, Kalimuddin Mondal
Pioneering Approaches in Data Management, 2024
Optimized Resource Allocation for Energy Efficiency in Cognitive Radio Networks: A Comparison of Particle Swarm Optimization and Whale Optimization
P Aswini, Kalimuddin Mondal, Wasi Haider
Icetas 2024 9th IEEE International Conference on Engineering Technologies and Applied Sciences, 2024
Tuning the Accuracy in the Price Prediction of Cryptocurrency Using Long Short Term Memory in Comparison with XG Boost
Bantupalli Rohit, Kalimuddin Mondal, Abdul Basit
Icetas 2024 9th IEEE International Conference on Engineering Technologies and Applied Sciences, 2024
Improving the Image Quality Using Generative Adversarial Network in Comparison with Support Vector Machine
Gadamsetty Snehankitha, Kalimuddin Mondal, Ravi Samikannu
Icetas 2024 9th IEEE International Conference on Engineering Technologies and Applied Sciences, 2024
A Novel Geometric Evaluation of Building Crack Detection and Reporting System Using Improved Learning Strategy
Govindaraj R, Kalimuddin Mondal, C.R. Bharathi, Sheela D, B.Sudha Priya
Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024
Ensuring Mission-Critical IoT Application Reliability in Cloud Computing through Fault Tolerance Mechanisms with Algorithmic Comparisons
Kalimuddin Mondal, D. Sugumaran, N. Naga Saranya, S Ashokkumar, S Magesh Kumar
3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
Exploring the Empirical Possibilities Soil Quality Assessment System using Internet of Things Technology
T. P. Ramachandran, Kalimuddin Mondal, Sheela D, V. Senthilkumar, V. Mohana Lakshmi, Immanuel K
Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024
Generation of all-optical Walsh-Hadamard code using silicon micro-ring resonator
Manjur Hossain, Kalimuddin Mondal, Jayanta Kumar Rakshit, Surajit Mandal, Amit Kumar Goyal, Yehia Massoud
Journal of Nanophotonics, 2024
Design and study of silicon microring resonator based all-optical binary-coded decimal adder
Manjur Hossain, Kalimuddin Mondal, Dhiraj Kumar, Jayanta Kumar Rakshit, Surajit Mandal
Optical and Quantum Electronics, 2023
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique
Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta, Abhishek Midya, Jayasree Chakraborty
Journal of Circuits Systems and Computers, 2021
A derivative-based approach for QT-segment feature extraction in digitized ECG record
R. Gupta, M. Mitra, K. Mondal, S. Bhowmick
Proceedings 2nd International Conference on Emerging Applications of Information Technology Eait 2011, 2011

RECENT SCHOLAR PUBLICATIONS

Improving IIoT Applications Through Process Control Using Convolutional Neural Networks: Smart Factory Technology Incorporating Deep Learning
K Mondal, R Sunitha, M Hamza, G Sethi, MU Maheswari
2026 3rd International Conference on Emerging Trends in Engineering and … , 2026
2026
Silicon Microring Resonator-Based All-Optical Reversible 2: 1 Multiplexer: Numerical Analysis
SSS Kumar, J Shirisha, SM Basha, K Mondal, V Nagaraju, A Raja, ...
Optical Memory and Neural Networks 34 (4), 492-501 , 2025
2025
Power Enhancement in Resonant inverter with SEPIC Converter for Induction Heating applications under varying duty cycle conditions
SJ Rubavathy, K Mondal, M Basha, S Gomathi
2025 11th International Conference on Electrical Energy Systems (ICEES), 660-665 , 2025
2025
Performance Analysis of a Rooftop PV System with Ground Mounted PV System
SJ Rubavathy, S Manoj, M Basha, P Kandasamy, DK Mondal, ...
2025 9th International Conference on Inventive Systems and Control (ICISC … , 2025
2025
Citations: 2
Performance Analysis of Resonant DC/AC Converters for Induction Heating Applications
SJ Rubavathy, K Sasikala, P Kandasamy, K Mondal, SHK Veni, ...
2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025
2025
Improving accuracy of detection of fake logo using random forest in comparison with CNN
B Pavan, K Mondal
AIP Conference Proceedings 3300 (1), 020193 , 2025
2025
Citations: 1
An efficient analysis and prediction of dyslexia based on eye movements using convolutional neural network compared with support vector machine for improve accuracy
M Sanjana, K Mondal
AIP Conference Proceedings 3267 (1), 020276 , 2025
2025
Numerical analysis of all-optical microring resonator based 4: 2 encoder and 3: 8 decoder logic circuits in Z-domain
S Kundu, S Mandal, SB Mohan, K Mondal, SM Basha, V Nagaraju, ...
Journal of Optics, 1-19 , 2025
2025
Citations: 1
Design of all-optical transmission gate using silicon microring resonator
JK Rakshit, P Selvam, S Kathirvelu, SM Basha, K Mondal, V Nagaraju, ...
Brazilian Journal of Physics 55 (3), 94 , 2025
2025
Citations: 2
Integrating NLP for Intelligent Cybersecurity Risk Detection from Bulletins
K Mondal, US Ebenezar, L Karthikeyan, PG Senthilvel, BS Preetham
2025 International Conference on Computing for Sustainability and … , 2025
2025
Citations: 3
Efficient energy-efficient resource allocation in cognitive radio networks using particle swarm optimization compared over Ant Colony optimization
P Aswini, K Mondal
Hybrid and Advanced Technologies, 452-458 , 2025
2025
Citations: 1
Real time fake logo prediction system using k-nearest neighbors in comparison with recurrent neural network
B Pavan, K Mondal
AIP Conference Proceedings 3252 (1), 020124 , 2025
2025
Citations: 1
An efficient prediction of sentiment in social media system based on novel convolutional neural network compared with artificial neural network
M Geetha, K Mondal
AIP Conference Proceedings 3252 (1), 020053 , 2025
2025
Efficient Fake Logo Prediction Through Convolutional Neural Networks Over K-Nearest Neighbors
B Pavan, K Mondal
Pioneering Approaches in Data Management, 203-214 , 2025
2025
Exploring the Empirical Possibilities Soil Quality Assessment System using Internet of Things Technology
TP Ramachandran, K Mondal, V Senthilkumar, VM Lakshmi
2024 International Conference on Innovative Computing, Intelligent … , 2024
2024
Citations: 8
A Novel Geometric Evaluation of Building Crack Detection and Reporting System Using Improved Learning Strategy
R Govindaraj, K Mondal, CR Bharathi, D Sheela, BS Priya
2024 International Conference on Innovative Computing, Intelligent … , 2024
2024
Design of all-optical basic logic gates using periodically poled lithium niobate
U Biswas, JK RAKSHIT, B Yakkala, V Nagaraju, K Mondal, M Hossain
Optoelectronics and Advanced Materials-Rapid Communications 18 (November … , 2024
2024
Citations: 1
Numerical Simulation of Silicon Microring Resonator-Based All-Optical Reversible BVF Gate
M Hossain, SM Basha, K Mondal, V Nagaraju, N Kolagani
Optoelectronics, Instrumentation and Data Processing 60 (6), 853-862 , 2024
2024
Ensuring Mission-Critical IoT Application Reliability in Cloud Computing through Fault Tolerance Mechanisms with Algorithmic Comparisons
K Mondal, D Sugumaran, NN Saranya, S Ashokkumar, SM Kumar
2024 International Conference on Advances in Computing, Communication and … , 2024
2024
Improving the Image Quality Using Generative Adversarial Network in Comparison with Support Vector Machine
G Snehankitha, K Mondal, R Samikannu
2024 IEEE 9th International Conference on Engineering Technologies and … , 2024
2024

MOST CITED SCHOLAR PUBLICATIONS

Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique
K Mondal, R Rabidas, R Dasgupta
Multimedia Tools and Applications 83 (5), 15413-15438 , 2024
2024
Citations: 37
A derivative-based approach for QT-segment feature extraction in digitized ECG record
R Gupta, M Mitra, K Mondal, S Bhowmick
2011 Second International Conference on Emerging Applications of Information … , 2011
2011
Citations: 28
Design and study of silicon microring resonator based all-optical binary-coded decimal adder
M Hossain, K Mondal, D Kumar, JK Rakshit, S Mandal
Optical and Quantum Electronics 55 (12), 1100 , 2023
2023
Citations: 20
Numerical analysis of all-optical binary to gray code converter using silicon microring resonator
M Hossain, K Mondal
Optical Memory and Neural Networks 33 (2), 193-204 , 2024
2024
Citations: 9
2: 1 multiplexer-based all-optical NOT, AND, OR gates, one-bit half adder, and subtractor employing silicon microring resonator
A Raja, K Mondal, V Nagaraju, SM Basha, M Hossain, JK Rakshit
Optical Engineering 63 (6), 065104-065104 , 2024
2024
Citations: 9
Development and analysis of all-optical multipurpose OR, XOR, NAND, AND, NOR, and XNOR logic gates in a single unit using silicon microring resonator
M Hossain, S Mahaboob Basha, V Nagaraju, K Mondal, JK Rakshit
Optical and Quantum Electronics 56 (5), 799 , 2024
2024
Citations: 9
Exploring the Empirical Possibilities Soil Quality Assessment System using Internet of Things Technology
TP Ramachandran, K Mondal, V Senthilkumar, VM Lakshmi
2024 International Conference on Innovative Computing, Intelligent … , 2024
2024
Citations: 8
Modeling of binary-coded decimal to seven segment display decoder using silicon microring resonator-based programmable logic device
K Mondal, A Samad, V Nagaraju, SM Basha, M Hossain
Journal of Optics 53 (4), 3918-3929 , 2024
2024
Citations: 7
Enhancement of hazy images using atmospheric light estimation technique
K Mondal, R Rabidas, R Dasgupta, A Midya, J Chakraborty
Journal of Circuits, Systems and Computers 30 (05), 2150078 , 2021
2021
Citations: 4
Integrating NLP for Intelligent Cybersecurity Risk Detection from Bulletins
K Mondal, US Ebenezar, L Karthikeyan, PG Senthilvel, BS Preetham
2025 International Conference on Computing for Sustainability and … , 2025
2025
Citations: 3
Performance Analysis of a Rooftop PV System with Ground Mounted PV System
SJ Rubavathy, S Manoj, M Basha, P Kandasamy, DK Mondal, ...
2025 9th International Conference on Inventive Systems and Control (ICISC … , 2025
2025
Citations: 2
Design of all-optical transmission gate using silicon microring resonator
JK Rakshit, P Selvam, S Kathirvelu, SM Basha, K Mondal, V Nagaraju, ...
Brazilian Journal of Physics 55 (3), 94 , 2025
2025
Citations: 2
Improved Accuracy in File Encryption using Noise Images as Key for AES Algorithm in Comparison with Salsa20 Algorithm
J Jashwanth, K Mondal
2024 Ninth International Conference on Science Technology Engineering and … , 2024
2024
Citations: 2
Improving accuracy of detection of fake logo using random forest in comparison with CNN
B Pavan, K Mondal
AIP Conference Proceedings 3300 (1), 020193 , 2025
2025
Citations: 1
Numerical analysis of all-optical microring resonator based 4: 2 encoder and 3: 8 decoder logic circuits in Z-domain
S Kundu, S Mandal, SB Mohan, K Mondal, SM Basha, V Nagaraju, ...
Journal of Optics, 1-19 , 2025
2025
Citations: 1
Efficient energy-efficient resource allocation in cognitive radio networks using particle swarm optimization compared over Ant Colony optimization
P Aswini, K Mondal
Hybrid and Advanced Technologies, 452-458 , 2025
2025
Citations: 1
Real time fake logo prediction system using k-nearest neighbors in comparison with recurrent neural network
B Pavan, K Mondal
AIP Conference Proceedings 3252 (1), 020124 , 2025
2025
Citations: 1
Design of all-optical basic logic gates using periodically poled lithium niobate
U Biswas, JK RAKSHIT, B Yakkala, V Nagaraju, K Mondal, M Hossain
Optoelectronics and Advanced Materials-Rapid Communications 18 (November … , 2024
2024
Citations: 1
Generation of all-optical Walsh–Hadamard code using silicon micro-ring resonator
M Hossain, K Mondal, JK Rakshit, S Mandal, AK Goyal, Y Massoud
Journal of Nanophotonics 18 (1), 016010-016010 , 2024
2024
Citations: 1
Improving IIoT Applications Through Process Control Using Convolutional Neural Networks: Smart Factory Technology Incorporating Deep Learning
K Mondal, R Sunitha, M Hamza, G Sethi, MU Maheswari
2026 3rd International Conference on Emerging Trends in Engineering and … , 2026
2026

Kalimuddin Mondal

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS