Jatinder Kaur

@cuchd.in

Associate Professor in Mathematics Department
Chandigarh University



                    

https://researchid.co/jashanpreet

RESEARCH, TEACHING, or OTHER INTERESTS

Mathematics, Computational Mathematics, Artificial Intelligence, Library and Information Sciences

69

Scopus Publications

37

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Black Carbon Concentration Forecasting using Wavelet-ANFIS Conjunction Model
    Jatinder Kaur, Sarbjit Singh, and Kulwinder Singh Parmar

    Springer Science and Business Media LLC

  • Optical properties of thermally stable bismuth borate glass dispersed with gold nanoparticles
    Jyoti, Jatinder Kaur, Prakash Kanjariya, Debasish Shit, Gargi Sangwan, Gopi Sharama, and Shivani Singla

    Elsevier BV

  • Impact of terbium doping on the structure and Gamma-Ray Attenuation behavior of ZnO nanoparticles
    Shivani Singla, Naveen Kumar, Manjunath H. R., Satya Sundar Gajendra Mohapatra, Helen Merina Albert, Gurinder Singh, Nupur Aggarwal, and Jatinder Kaur

    Springer Science and Business Media LLC

  • Molecular interaction study of L-Ornithine with bovine serum albumin using spectroscopic and molecular docking methods
    Sakshi Koundal, Apoorva Pathania, Harman Deep Kour, Anu Radha Pathania, Jatinder Kaur, Bhanu Juneja, Girish Chandra Sharma, Abhijit Bhowmik, and A. Johnson Santhosh

    Springer Science and Business Media LLC

  • Fusion energy: a sustainable pathway to meeting future global energy demands
    Gaurav Katoch, Gazal Sharma, Mohammed Alaghbari, Amit Ved, Jatinder Kaur, Asha Rajiv, Abhayveer Singh, Yashpal Yadav, and Mohammad Iqbal Khairandish

    Springer Science and Business Media LLC

  • Defected Ground Structure (DGS) Based MIMO Antenna Array With Decent Isolation Characteristics for Satellite Communications in Unified S-Band (USB)
    Avishek Chakraborty, Ravi Shankar Saxena, Indrasen Singh, Jatinder Kaur, Ramneet Kaur, Rishiv Kalia, and D. Durga Bhavani

    American Geophysical Union (AGU)
    Abstract This research focuses on developing an efficient, high‐isolation Multi‐Input Multi‐Output (MIMO) antenna array for Mobile Satellite Services (MSS). A portion of the S‐band (2–4 GHz) ranging from 2 to 2.2 GHz, known as Unified S‐Band (USB), is utilized for MSS, particularly for Space‐to‐Earth communications. The ultimate objective of the proposed MIMO is to cover the USB spectrum and resonate at 2.2 GHz. As the first step of the design process, a meandered line (ML) monopole patch with good radiation characteristics in the desired frequency band is designed. Then, the mirror image of the proposed ML radiator is added to the design to form a two‐element ML‐MIMO array. A well‐designed MIMO is highly beneficial for boosting the reliabilities, channel capacities, and frequency reuse in next‐generation communication. But at the same time, it inherently increases the coupling effect between closely placed radiators, which may degrade the performance of the overall design. To overcome the coupling effect, a defected ground structure (DGS) is proposed in the partial ground plane of the ML‐MIMO. The proposed DGS intends to reduce the coupling effects by perturbing the surface current distributions in the partial ground plane. Meanwhile, the DGS also enhances the compactness of the entire structure by boosting the gain and reducing the total weight. MIMO parameter metrics such as axial ratio below 3 dB, envelope correlation coefficient less than 0.0005, and a diversity gain close to 10 are also aimed by simultaneously reducing the mutual coupling below −30 dB and return loss below −25 dB for standard MIMO applications. The ML‐MIMO is then fabricated on a FR4 substrate with a dimension of 40 mm by 48 mm, and measured. The simulated outcomes are found to be in close approximation with the measurement outcomes. A detailed comparison and trade‐off analysis of the proposed design with respect to other contemporary research is also presented for further validation.

  • Optimizing radiation shielding properties in borate glasses using gold nanoparticle dispersion
    Jatinder Kaur, Prakash Kanjariya, M.Sudhakara Reddy, Shivani Singla, Abinash Mahapatro, Debasish Shit, Deepak Gupta, Shobha Kulshrestha, C. Rameshkumar, and Gargi Sangwan

    Elsevier BV

  • Self-adaptive neural networks for continual learning in dynamic environments
    Raman Kumar, Jatinder Kaur, Arti Badhoutiya, Huda Qasim Owaied, Abhilasha Jadhav, and Muntather Almusawi

    AIP Publishing

  • Deep learning for biomedical imaging: Enhancing accuracy in disease diagnosis
    Raman Kumar, Jatinder Kaur, Arti Badhoutiya, Huda Qasim Owaied, Ashish Singh, and Zaid Alsalami

    AIP Publishing

  • Generative models for data augmentation in low-resource scenarios
    Raman Kumar, Jatinder Kaur, Arti Badhoutiya, Huda Qasim Owaied, Abhilasha Jadhav, and Zaid Alsalami

    AIP Publishing

  • Scalable bayesian optimization for hyperparameter tuning in high-dimensional spaces
    Raman Kumar, Jatinder Kaur, Arti Badhoutiya, Huda Qasim Owaied, Ashish Singh, and Muntather Almusawi

    AIP Publishing

  • Experimental investigation on thermal barrier-coated diesel engine using antioxidant-doped orange peel oil biodiesel
    R. MEENAKSHI REDDY, RAVINDRA PRATAP SINGH, JATINDER KAUR, HIMANSHU KUMAR, SATHISH KANNAN, ISMAIL HOSSAIN, SEENIAPPAN KALIAPPAN, SAMI AL OBAID, and SULAIMAN ALI ALHARBI

    World Scientific Pub Co Pte Ltd
    The performance and emission characteristics of pure orange peel methyl ester (OPME) were examined in this study to determine the impact of antioxidant additions. To enhance engine performance and reduce emissions, butylated hydroxytoluene (BH) was added to the prepared methyl ester at different concentrations of 250, 500, 750 and 1000[Formula: see text]ppm. The blended biodiesel was tested in a compression ignition (CI) engine as well as a ceramic-coated engine. The conventional engine in this study was later converted into a low-heat rejection engine by coating Yttria stabilized zirconia (YSZ) on the piston crown. The coating on the piston was done by the traditional atmospheric plasma spray (APS) method. The tests were conducted by changing the load of the engine from 0% to 100% with a 25% interval. The readings obtained from conventional and coated engines using BH-dosed OPME were compared with diesel-operated conventional engines. Specifically, at 750 ppm BH dosage, brake thermal efficiency (BTE) increases by 3.04%, while brake specific fuel consumption (BSFC) decreases by 15.3%. Moreover, carbon monoxide (CO) emissions decrease by 36.6%, and hydrocarbon (HC) emissions decrease by 39.1% compared to conventional diesel operation. These findings highlight the efficacy of antioxidant-doped OPME in enhancing engine efficiency and reducing harmful emissions, making it a promising alternative fuel for sustainable transportation.


  • Impact of thermal spray coating parameters on mechanical strength of biomedical implants: A review
    Raman Kumar, Jatinder Kaur, Laith H. Fezaa, Adil Abbas Alwan, Ankur Kulshreshta, and Sanjeev Kumar Joshi

    AIP Publishing

  • Smart bridge: A leading-edge arduino based liquid sensing approach for protecting against floods
    Dhairya Ahuja, Alis Thakur, Ashwani K. Sharma, Jatinder Kaur, Sanjeev Kumar Shah, Ahmed Alkhayyat, and Suman Saini

    AIP Publishing

  • Experimental analysis of sensor (solar PV) based variable frequency multicarrier PWM techniques for enhanced power quality in bioengineering systems
    R.K. Padmashini, D. Lakshmi, Amit Ved, Asha Rajiv, Jatinder Kaur, Ashish Singh, Zainab Ahmed Abass, Sadiq N. Henedy, Sudha Vani Yamani, and Muhammad Imam Ammarullah

    Elsevier BV

  • Addressing fabrication challenges in perovskite-silicon tandem solar cells with advanced simulation techniques
    Raman Kumar, Prakash Kanjariya, A. Abu-Jrai, Nagaraj Patil, Mohd Shukri Ab Yajid, Jatinder Kaur, Rahul Singh, P. Vijaya Kumar, Sanjeev Kumar Shah, and Mohammad Iqbal Khairandish

    Springer Science and Business Media LLC
    Abstract In the pursuit of higher conversion efficiency, the PV industry has turned its focus towards perovskite-silicon tandem solar cells, which currently represent the peak of innovation. To surpass the efficiency limits of traditional single-junction cells, researchers are exploring the potential of these tandem solar cells by integrating the merits of perovskite and silicon. However, integrating these cells brings different challenges, such as deposition methods and material misalignments. Thus, in this work, we are using advanced simulation techniques, including Silvaco ATLAS’s Victory Process and Device Simulator to imitate the actual manufacturing processes. Primarily this research work focuses on three scenarios: shunting, planarization and conformal deposition to emulate the experimental conditions. The obtained results show the potential and effectiveness of process simulations in accurately predicting and improving the PV performance of the tandem solar cell. Two different perovskite-silicon tandem solar cells are designed using process simulations which showed a conversion efficiency of 27.51% and 29.08% respectively. This work highlights the importance of using simulation tools for the further development of tandem solar cell technology. Detailed process and device simulations reported in this work may pave the way in the fabrication of optimised perovskite/silicon tandem solar cell.

  • Effect of nanoparticle-based lubricants on various performance characteristics of journal bearings: a review
    Nabarun Biswas, Suman Kumar Mandal, Ishan Bhagwatkar, Raman Kumar, Jatinder Kaur, A Bhowmik, Kishan Choudhuri, and Biplab Bhattacharjee

    IOP Publishing
    Abstract Nano lubricants are revolutionizing the performance of journal bearing, offering innovative solutions to tackle key issues in wear, friction, and load-carrying capacity. This review examines recent progress in nanolubricant applications, highlighting their substantial impact on bearing efficiency and durability. The addition of nanoparticles to lubricating oils enhances their viscosity, reduces friction, and improves heat conductivity, resulting in a significant increase in load-carrying ability. This paper also explores the stability issues associated with nano lubricants, underscoring the crucial role of surfactants and advanced preparation methods in preventing aggregation and ensuring long-term effectiveness. By offering a thorough review of current literature, this study serves as an invaluable resource for scientists and engineers aiming to harness nanotechnology for advanced bearing systems. The paper concludes by outlining future research directions to further enhance nanolubricant formulations and broaden their application across various industrial sectors, thus paving the way for improved mechanical efficiency and sustainability.

  • Boron nitride (BN)-biphenylene networks a high-performance anode for magnesium-ion batteries
    Chou-Yi Hsu, Ali B.M. Ali, Prakash Kanjariya, Mohammed Al-Bahrani, Jatinder Kaur, Ramneet Kaur, Nizomiddin Juraev, Ibrahim Mahariq, and Abdulrahman A. Almehizia

    Elsevier BV

  • Development of Mn-doped SmCoO<inf>3</inf> electrode material for supercapacitor application
    Muhammad Fakhar Shehzad, Ashraf M.M. Abdelbacki, Jawaria Fatima, Abhinav Kumar, Mahmood Ali, and Jatinder Kaur

    Elsevier BV

  • Innovative Integration of Machine Learning Predictive Models Within Blockchain Frameworks for Supply Chain Fault Tolerance
    Jatinder Kaur, Maher Ali Rusho, Kottala Sri Yogi, Mukesh Soni, Mohan Raparthi, and Yakshit Garg

    Springer Nature Switzerland

  • Quantum-inspired firefly algorithm with ant miner plus for fake news detection
    Kanta Prasad Sharma, A. Sai Manideep, Shailesh Kulkarni, J. Gowrishankar, Binod Kumar Choudhary, Jatinder Kaur, and Anita Gehlot

    World Scientific Pub Co Pte Ltd
    Nowadays, technology has shifted the way individuals access news from conventional media sources to social media platforms. The active engagement of people with social media platforms leads them to consume news without confirming its source or legitimacy. This facilitated the dissemination of more manipulated and false information in the form of rumors and fake news. Fake news can affect public opinion and create chaos and panic among the population. Thus, it is essential to employ an advanced methodology to identify fake news with high precision. This research work has proposed the concept of the quantum-inspired firefly algorithm with the ant miner plus algorithm (QFAMP) for more effective fake news detection. The proposed QFAMP algorithm utilizes the attributes of quantum computing (QC), the firefly algorithm (FA), and the ant miner plus algorithm (AMP). Here, the QFA approach ensures the effective exploitation of the firefly agents until the agents are able to search for the brighter firefly. Further, the AMP algorithm utilizes the best ants with higher pheromone concentrations for global exploration, which also avoids the premature convergence of the QFA agents. In addition, the AMP algorithm serves as an efficient data mining variant that is effective for the classification of fake news. The efficacy of the proposed QFAMP algorithm is evaluated for the dataset of FakeNewsNet, which is composed of two sub-categories: BuzzFeed and PolitiFact. The experimental evaluations indicate the effective performance of the proposed algorithm compared to the other techniques.

  • Bim-based Digital Construction for Green Building Performance Prediction and Evaluation
    Jatinder Kaur, Mostafha Alwbaidy, Ravi Kant Prasad, Meenakshi Maindola, Shailendra Tiwari, Ruqaiya Khanam, and Raman Kumar

    IOP Publishing
    Abstract With the growing magnitude of climate change and the scarcity of resources, now more than ever, sustainable approaches to building construction are crucial. Green building practices will also enable energy savings, minimize pollution, and make buildings more comfortable for the people residing or working within them. It can be achieved through making predictions and verifications of the sustainability of a building. Building Information Modelling (BIM) is a digital technology that enables the design of detailed building models, simulation, and efficient management of data. The paper presents an analysis of the application of BIM in the construction of green buildings. It involves examining the amount of energy a building consumes, assessing a building’s energy use, air quality, and lighting, evaluating a building’s performance throughout its entire life, and real-time monitoring of a building using digital twins. The paper also examines critical tools, frameworks, and research that demonstrate how BIM is transforming the design and management of buildings. It also discusses some of the challenges, such as integrating data from various sources, ensuring that models are compatible, and addressing performance concerns. It also considers new opportunities, such as AI applications in BIM models, integration with IoT devices, and the development of smart systems that can make their own choices. All this demonstrates that BIM-based digital construction is making a significant contribution to the greening of the built environment.

  • Tuning the electrochemical performance of a biphenylene coated metal as the anode for K<sup>+</sup>-ion batteries
    Shaymaa Abed Hussein, Rassol Hamed Rasheed, Abdulkhalaq Fawzy Hamood, Shelesh Krishna saraswat, Jatinder Kaur, Ramneet Kaur, R.S.K. Sharma, Bhanu Juneja, and Abdulrahman A. Almehizia

    Elsevier BV

  • Photovoltaic Performance Analysis Of CZTS-Based Solar Cell With Low Cost Sn<inf>2</inf>S<inf>3</inf> As BSF Layer Using SCAPS 1-D
    Pratap Kumar Dakua, Ahmad Abu Jrai, Prakash Kanjariya, Jatinder Kaur, Junainah Abd Hamid, K. S. Kiran, Yashpal Yadav, Jashandeep Singh, J. Vijayasree, and K. Lakshmi

    Springer Science and Business Media LLC

RECENT SCHOLAR PUBLICATIONS

  • Decipherment of script: Using synthetic data generators
    T Vyshnavi, J Kaur
    Journal of Information and Optimization Sciences 46 (ISSN 0252-2667 (Print 2025

  • Hybrid Niching Sparrow search algorithm for solving traveling salesman problem
    GK Sidhu, J Kaur
    Journal of Information and Optimization Sciences 46 (ISSN 0252-2667 (Print 2025

  • Predicting ipl victories: An ensemble modeling approach using comprehensive dataset analysis
    P Singh, J Kaur, L Singh
    2024 2nd International Conference on Artificial Intelligence and Machine 2024

  • Niching Sparrow Search Algorithm for Solving Benchmark Problems, Speed Reducer Design, and Himmelblaus Nonlinear Optimization Problem
    GK Sidhu, J Kaur
    Communications in Mathematics and Applications 15 (1), 43 2024

  • Application of sparrow search algorithm (SSA) on welded beam design optimization problem
    GK Sidhu, J Kaur
    AIP Conference Proceedings 2735 (1), 040031 2023

  • Design of a Metaphor-Less Multi-objective Rao Algorithms Using Non-dominated Sorting and Its Application in I-Beam Design Optimization
    J Kaur, P Singh
    Advances in Data-driven Computing and Intelligent Systems: Selected Papers 2023

  • Experimental Analysis of A Novel Swarm Intelligence Optimization Approach: Sparrow Search Algorithm
    GK Sidhu, J Kaur
    Advances in Data-driven Computing and Intelligent Systems: Selected Papers 2023

  • The Modified Binary Sparrow Search Algorithm (mbSSA) and Its Implementation
    G Kaur Sidhu, J Kaur
    Advances in Data-driven Computing and Intelligent Systems: Selected Papers 2023

  • NSGLTLBOLE: a modified non-dominated sorting TLBO technique using group learning and learning experience of others for multi-objective test problems
    J Kaur, SS Chauhan, P Singh
    Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 1 2019

  • Jaya algorithm using weighted sum approach for the multi-objective next release problem
    P Singh, MS Bhamrah, J Kaur
    2018 First International Conference on Secure Cyber Computing and 2018

  • An Improved TLBO Leveraging Group and Experience Learning Concepts for Global Functions
    SSCPS Jatinder Kaur
    Advances in Intelligent Systems and Computing 741, PP-1221-1234 2018

  • Jatinder Kaur, Surjeet Singh Chauhan
    P Singh
    Technology 9 (13), 1016-1023 2018

  • A Novel Algorithm for Multiplying Four Numbers near Different Bases
    J Kaur, P Singh
    2016

  • A Novel Approach of Multiplying Three Numbers Nearing Different Bases
    J Kaur, P Singh
    1st online conference on Vedic Mathematics, UK 2016

  • Enacted Software Development Process based on Cross Platform Unified Framework in the Context of Investment Banking
    P Singh, J Kaur
    International Journal of Computer Applications 93 (14), 1-5 2014

  • Tool for generating code metrics for C# source code using abstract syntax tree technique
    P Singh, S Singh, J Kaur
    ACM SIGSOFT Software Engineering Notes 38 (5), 1-6 2013

  • A Novel Approach of Multiplying Five Numbers Near a Base
    P Singh, J Kaur


MOST CITED SCHOLAR PUBLICATIONS