Supervised Learning, Software Engineering, Machine Learning, Wireless Networks, Artificial Intelligence, Data Analytics & Visualization, Programming Languages (Python, R).

Journals (SCI/SCIE/Scopus)

1. M Pundir, JK Sandhu, S Juneja, D Gupta, G Altuwaijri, A Nauman “Dimensional-Based Methods for Topological Management in Underwater Wireless Sensor Networks: A Comprehensive Survey”, IEEE Access, 2025, DOI: 10.1109/ACCESS.2025.3546978. [SCI, IF 3.4]
2. M Dutta, D Gupta, S Tharewal, D Goyal, JK Sandhu, M Kaur, AA Alzubi, JM Alanazi “Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security”, IEEE Access, 2025, DOI: 10.1109/ACCESS.2025.3540317. [SCI, IF 3.4]
3. A Kukkar, Y Kumar, JK Sandhu, M Kaur, TS Walia, M Amoon “DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction”, Diagnostics, 2024, DOI: 10.3390/diagnostics14060624. [SCI, IF 3.6]
4. J Singh, JK Sandhu, Y Kumar “An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters”, Archives of Computational Methods in Engineering, 2023, DOI: 10.1007/s11831-023- 10005-2. [SCI, IF 9.7]
5. J Singh, JK Sandhu, Y Kumar “Metaheuristic-based hyperparameter optimization for multi- disease detection and diagnosis in machine learning”, Service Oriented Computing and Ap- plications, Springer, DOI:10.1007/s11761-023-00382-8, 2024. [Scopus]
6. A Kukkar, Y Kumar, A Sharma, JK Sandhu “Bug Severity Classification in Software Using Ant Colony Optimization Based Feature Weighting Technique”, Expert Systems with Applications, 2023, DOI: 10.1016/j.eswa.2023.120573. [SCI, IF 8.5]
7. M Pundir, JK Sandhu, D Gupta, P Gupta, TR Gadekallu, A Juneja, Y Gulzar, A Nau- man “Data Rate Aware Reliable Transmission Mechanism in Wireless Sensor Networks using Bayesian Regularized Neural Network approach”, Physical Communication, 2023, DOI: 10.1016/j.phycom.2023.102115. [SCI, IF 2.2]
8. M Pundir, JK Sandhu, D Gupta, P Gupta, S Juneja, A Nauman “MD-MARS: Maintainability Framework Based on Data Flow Prediction Using Multivariate Adaptive Regression Splines Algorithm in Wireless Sensor Network”, IEEE Access, 2023, DOI: 10.1109/AC- CESS.2023.3240504. [SCI, IF 3.476]
9. UK Lilhore, P Manoharan, JK Sandhu, S Simaiya, S Dalal, AM Baqasah, M Alsafyani, R Alroobaea, I Keshta, K Raahemifar “Hybrid model for precise hepatitis-C classification using improved random forest and SVM method”, Scientific Reports, 2023, DOI: 10.1038/s41598- 023-36605-3. [SCI, IF 4.6]
10. A Kukkar, UK Lilhore, J Frnda, JK Sandhu, RP Das, N Goyal, A Kumar, K Muduli, F Rezac “ProRE: An ACO- based programmer recommendation model to precisely manage software bugs”, Journal of King Saud University - Computer and Information Sciences, Elsevier, 2023, DOI: 10.1016/j.jksuci.2022.12.017. [SCI, IF 6.9]
11. S Simaiya, R Kaur, JK Sandhu, M Alsafyani, R Alroobaea, M Margala, P Chakrabarti “A novel multistage ensemble approach for prediction and classification of diabetes”, Frontiers in Physiology, 2022, DOI: 10.3389/fphys.2022.1085240. [SCI, IF 4.0]
12. JK Sandhu, UK Lilhore, M Poongodi, N Kaur, SS Band, M Hamdi, C Iwendi, S Simaiya, MM Kamruzzaman, A Mosavi “Predicting the Risk of Heart Failure Based on Clinical Data”, Human-centric Computing and Information Sciences, KIPS-CSWRG, 2022, DOI: 10.22967/HC IS.2022.12.057. [SCI, IF 6.558]
13. D Goyal, A Choudhary, JK Sandhu, P Srivastava, KK Saxena “An intelligent self-adaptive bearing fault diagnosis approach based on improved local mean decomposition”, International Journal on Interactive Design and Manufacturing (IJIDeM), Springer, DOI:10.1007/s12008- 022-01001-0, 2022. [Scopus]
14. M Pundir, JK Sandhu, “A systematic review of Quality of Service in Wireless Sensor Net- works using Machine Learning: Recent trend and future vision”, Journal of Network and Computer Applications, Elsevier, 2021, DOI: 10.1016/j.jnca.2021.103084. [SCI, IF 8.7]
15. PK Shukla, JK Sandhu, A Ahirwar, D Ghai, P Maheshwary, Piyush K Shukla, “Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images”, Mathematical Problems in Engineering, Hindawi, 2021, DOI:10.1155/2021/7804540. [SCI, IF 1.43]
16. JK Sandhu, PS Rana and AK Verma, “An Expert Approach for Data Flow Prediction: Case Study of Wireless Sensor Networks”, Wireless Personal Communications, Springer, 2020, DOI:10.1007/s11277-020-07028-4. [SCI, IF 2.2]
17. JK Sandhu, PS Rana and AK Verma, “Enhancing dependability of wireless sensor network under flooding attack: A machine learning perspective”, International Journal of Ad Hoc and Ubiquitous Computing, Inderscience, 2020, 33(2):73-89. [SCIE, IF 0.773]
18. DP Mahato, JK Sandhu, NP Singh and V Kaushal, “On scheduling transaction in grid computing using cuckoo search-ant colony optimization considering load”, Cluster Computing, Springer, 2019, DOI:10.1007/s10586-019-03016-x. [SCI, IF 4.4]
19. Rishith Rayal, JK Sandhu, N Hooda, D Khanna and PS Rana, “N-semble: Neural Net- work based ensemble approach”, International Journal of Machine Learning and Cybernetics, Springer, 10(2):337–345, 2019. [SCIE, IF 5.6]
20. JK Sandhu, PS Rana and AK Verma, “A Novel Framework for Reliable Network Prediction of Small-Scale Wireless Sensor Networks (SSWSNs)”, Fundamenta Informaticae, IOS Press, 160(3):303-341, 2018. [SCIE, IF 1.333]

Conference Proceedings

1. T Verma, JK Sandhu, S Ahuja “Hybrid CNN-based Framework for Enhanced Glaucoma Detection in Fundus Images”, Intl. Conf. on Computational Intelligence and Communication Technologies (CCICT), 11-12 April 2025, Sonepat, India.
2. T Verma, JK Sandhu, S Ahuja “Performance Evaluation of Hybrid and CNN Models for Glaucoma Investigation on the ACRIMA, REFUGE, and G1020 Dataset”, Intl. Conf. on Computational Intelligence and Communication Technologies (CCICT), 11-12 April 2025, Sonepat, India.
3. A Kataria, G Singh, JK Sandhu “Impact of Immersive Technology on Physiological Parameters in Psychiatric Disorders”, Intl. Conf. on System Modeling & Advancement in Research Trends (SMART), 06-07 Dec. 2024, Moradabad, India.
4. R Kaur, JK Sandhu, M Pundir “Clicks, Retweets, and Replies: A Data-Driven Exploration of what Makes News Go Viral”, Intl. Conf. on Computing, Sciences and Communications (ICCSC), 24-25 Oct. 2024, Ghaziabad, India.
5. R Sharma, JK Sandhu, V Bharti “Improved Multimodal Biometric Security: OAWG-MSVM for Optimized Feature-level Fusion and Human Authentication”, Intl. Conf. on Intelligent Systems for Cybersecurity (ISCS), 03-04 May 2024, Gurugram, India.
6. R Sharma, JK Sandhu, V Bharti “Experimental Analysis of a Multimodal biometric System using Preprocessing and Feature Extraction Techniques and Their Impact on Analytical Results”, Intl. Conf. on Computational Intelligence and Communication Technologies (CCICT), 19-20 April 2024, Sonepat, India.
7. R Sharma, JK Sandhu, V Bharti “Exploring Feature-Based Image Classification for Human Identification in Multimodal Biometric System”, Intl. Conf. on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 14-15 March 2024, Noida, India.
8. K Sachdeva, JK Sandhu, R Sahu “An Adaptive Nature-Inspired Particle Bee Colony Deep Neural Network Technique for Event Detection in Video Sequences”, Intl. Conf. on Cognitive, Green and Ubiquitous Computing (IC-CGU), 01-02 March 2024, Bhubaneswar, India.
9. R Kaur, R Sahu, JK Sandhu “AAI-Driven Exploration of Structural Virality and Influencing Elements in Online Information Diffusal”, Intl. Conf. on Cognitive, Green and Ubiquitous Computing (IC-CGU), 01-02 March 2024, Bhubaneswar, India.
10. K Sachdeva, JK Sandhu, R Sahu “Comparative Analysis of Event Detection in Video Sequences using Adaptive Nature-Inspired PBCDNN, Ensemble FS-Linear MSVM and CNN Techniques”, Intl. Conf. on Computing for Sustainable Global Development (INDIACom), 28 Feb.-01 March 2024, New Delhi.
11. K Sachdeva, JK Sandhu, R Sahu “Exploring Video Event Classification: Leveraging Two- Stage Neural Networks and Customized CNN Models with UCF-101 and CCV Datasets”, Intl. Conf. on Computing for Sustainable Global Development (INDIACom), 28 Feb.-01 March 2024, New Delhi, India.
12. P Rani, JK Sandhu, R Sahu “A Survey of Machine Learning Techniques for Prediction of Alzheimer’s Disease”, Intl. Conf. on Innovative Practices in Technology and Management (ICIPTM), 21-23 February 2024, Noida, India.
13. K Sharma, R Sahu, JK Sandhu “A Survey of Machine Learning Approaches for Parkinson’s Disease Prediction”, Intl. Conf. on Innovative Practices in Technology and Management (ICIPTM), 21-23 February 2024, Noida, India.
14. M Pundir, JK Sandhu “Spam Email Detection using Deep Learning Techniques”, IEEE North Karnataka Subsection Flagship International Conference (NKCon), 19-20 Nov. 2023, Belagavi, India.
15. H Saini, JK Sandhu “Hybrid Deep Learning Model for The Smart Manufacturing”, Intl. Conf. on Computing, Communication, and Intelligent Systems (ICCCIS), 03-04 November 2023, Greater Noida, India.
16. GP Singh, JK Sandhu, MK Hooda “BiLSTM Classifier: A New Approach for Detecting Cyber-Attacks in MITRE ATTACK Framework”, Intl. Conf. on Contemporary Computing
17. and Informatics (IC3I), 14-16 Sept. 2023, Gautam Buddha Nagar, India.
18. J Singh, JK Sandhu, Y Arora “Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models”, Intl. Conf. on Contemporary Computing and Informatics (IC3I), 14-16 Sept. 2023, Gautam Buddha Nagar, India.
19. J Singh, JK Sandhu, Y Arora “An Analysis of Metaheuristics Techniques to Optimize Hyper- Parameters for Deep Learning Models”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
20. P Thakral, JK Sandhu “Prediction of Diabetic condition using Different Machine Learning Approaches and Different Datasets”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
21. P Thakral, JK Sandhu “A Survey on Diabetes Detection Based on Machine Learning Classifiers”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
22. G Kaur, JK Sandhu “Deep Learning Model for Lung Cancer Detection on CT Scan Image”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
23. Nisha, L Singh, JK Sandhu, R Sahu “A Literature Survey on Handwritten Character Recognition”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
24. A Milan, R Sahu, JK Sandhu “Impact of AI on Social Marketing and its Usage in Social Media: A Review Analysis”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
25. V Gupta, S Gill, JK Sandhu, R Sahu “Comparative Study of Machine Learning Models for Early Gestational Diabetes Mellitus”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
26. Km Shiwangi, JK Sandhu, R Sahu “Effective Heart-Disease Prediction by Using Hybrid Machine Learning Technique”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
27. P Agarwal, Gurjot, KK Sharma, JK Sandhu, R Sahu “Meta-Analysis of Spread of Disease: COVID-19”, Intl. Conf. on Circuit Power and Computing Technologies (ICCPCT), 10-11 August 2023, Kollam, India.
28. A Kataria, G Singh, JK Sandhu “Emotional Analysis of Drug Addicted Patients using Virtual Reality Therapy and EEG Signals”, Intl. Conf. on Computing Communication and Networking Technologies (ICCCNT), 06-08 July 2023, Delhi, India.
29. M Kaur, AB Kaimal, JK Sandhu, R Sahu “Cloud Data Security using Hybrid Algorithm”, Intl. Conf. on Smart Data Intelligence (ICSMDI), 30-31 March 2023, Trichy, India.
30. A Behal, JK Sandhu, G Gupta “Using the Cooja Simulator, Analysing the Routing Protocol (RPL) For Low Power and Lossy Networks In IoT”, Intl. Students’ Conf. on Electrical, Electronics and Computer Science (SCEECS), 18-19 Feb. 2023, Bhopal, India.
31. A Behal, JK Sandhu, G Gupta “Comparing HTTP And COAP For IoT Low-power and Lossy Networks Using The Cooja Simulator”, Intl. Students’ Conf. on Electrical, Electronics and Computer Science (SCEECS), 18-19 Feb. 2023, Bhopal, India.
32. UK Lilhore, S Simaiya, JK Sandhu, A Baliyan, A Garg “EHML: An Efficient Hybrid Machine Learning Model for Cyber Threat Forecasting in CPS”, Intl. Conf. on Artificial Intelligence and Smart Communication (AISC), 27-29 Jan. 2023, Greater Noida, India.
33. A Behal, JK Sandhu, G Gupta “Cooja Simulator and Wireshark Traffic Capturing Are Used To Analyse User Datagram Protocol Communication For Low Power And Lossy Networks in IoT”, Intl. Conf. for Advancement in Technology (ICONAT), 24-26 Jan. 2023, Goa, India.
34. S Simaiya, UK Lilhore, JK Sandhu, J Snehi, A Garg, A Manhar “LoRa-Based IoT Architecture Using Ant Colony Optimization for Intelligent Traffic System”, Intl. Conf. on Machine Learning, Image Processing, Network Security and Data Sciences (MIND), 11-12 Dec. 2021, Proceeding Online: 01 Jan. 2023, NIT Raipur, India.
35. A Behal, JK Sandhu, G Gupta “Constrained Application Protocol (COAP) Implementation on Contiki OS For Anatomization of Low-Power and Lossy Networks In IOT”, Intl. Conf. on Futuristic Technologies (INCOFT), 25-27 Nov. 2022, Belgaum, India.
36. A Kataria, G Singh, JK Sandhu “Virtual and Augmented Reality Technology for the Treatment of Mental Health Disorders: An Overview”, Intl. Conf. on Computing Communication and Networking Technologies (ICCCNT), 03-05 Oct. 2022, Kharagpur, India.
37. M Pundir, JK Sandhu, P Kumar, P Srivastava “Secure and Energy Efficient Routing in Wireless Sensor Network using Machine Learning”, Intl. Conf. on Contemporary Computing (IC3), 04-06 August 2022, Noida, India.
38. S Simaiya, UK Lilhore, H Pandey, NK Trivedi, A Anand, JK Sandhu “An Improved Deep Neural Network-Based Predictive Model for Traffic Accident’s Severity Prediction”, Intl. Conf. on Recent Advancements in Computer, Communication, and Computational Sciences (RAC- CCS), 20-21 August 2022, Ajmer, India.
39. S Sharma, A Kataria, JK Sandhu, KR Ramkumar “Credit Card Fraud Detection using Machine and Deep Learning Techniques”, Intl. Conf. for Emerging Technology (INCET), 27-29 May 2022, Belgaum, India.
40. A Mehta, JK Sandhu “An Algorithmic Framework for Sinkhole Attack Detection and Mitigation in Wireless Sensor Networks”, Intl. Conf. on Advance Computing and Innovative Technologies in Engineering (ICACITE), 28-29 April 2022, Greater Noida, India.
41. R Kaur, JK Sandhu, M Pundir, G Singh, A Mehta “Towards a Systematic Threat Modeling Approach for Wireless Sensor Networks”, ECS Transactions, 24 April 2022, 107(1):8855.
42. M Pundir, JK Sandhu, R Kaur, G Singh, A Mehta “A Systematic Review of Fault Management Framework in Wireless Sensor Networks”, ECS Transactions, 24 April 2022, 107(1):6473.
43. S Sharma, A Kataria, JK Sandhu “Applications, Tools and Technologies of Robotic Process Automation in Various Industries”, Intl. Conf. on Decision Aid Sciences and Applications (DASA), 23-25 March 2022, Chiangrai, Thailand.
44. UK Lilhore, S Simaiya, JK Sandhu, NK Trivedi, A Garg, A Moudgil “Deep Learning-Based Predictive Model for Defect Detection and Classification in Industry 4.0”, Intl. Conf. on Emerging Smart Computing and Informatics (ESCI), 09-11 March 2022, Pune, India.
45. S Simaiya, UK Lilhore, H Pandey, NK Trivedi, A Anand, JK Sandhu “An Improved Deep Neural Network-Based Predictive Model for Traffic Accident’s Severity Prediction”, In: Hu, YC., Tiwari, S., Trivedi, M.C., Mishra, K.K. (eds) Ambient Communications and Computer Systems. Lecture Notes in Networks and Systems, 2022, Vol 356. Springer, Singapore.
46. Diksha, JK Sandhu “Escalation of Request in Travel and Hospitality using Automation”, Intl. Conf. on on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), IEEE, 15 Nov 2021, Noida, India.
47. M Pundir, JK Sandhu, R Kaur, and A Mehta “Machine Learning Based Energy Efficiency in Wireless Sensor Network”, 21st Intl. Conf. on Data Analytics and Management: An Indo- European Conference (ICDAM-2021), Elsevier, 26 June 2021, Jan Wyzykowski University, Poland.
48. A Mukherjee, Deepmala, P Srivastava JK Sandhu “Application of smart materials in civil engineering: A review”, Materials Today: Proceedings, 2021.
49. Diksha, JK Sandhu “Robotic Process Automation for Prioritizing the Refund in Online Travel Agency”, Intl. Conf. on Advance Computing and Innovative Technologies in Engineering (ICACITE 2021), IEEE, 4-5 March 2021, Greater Noida, India.
50. R Kaur, JK Sandhu “A Study on Security Attacks in Wireless Sensor Network”, Intl. Conf. on Advance Computing and Innovative Technologies in Engineering (ICACITE 2021), IEEE, 4-5 March 2021, Greater Noida, India.
51. JK Sandhu, M Pundir, and A Kumar “Quality-of-Service Prediction Techniques for Wireless Sensor Networks”, Intl. Conf. on Mechatronics and Artificial Intelligence (ICMAI), IOP, 26- 27 Feb 2021, Gurgaon, India.
52. A Kumar, M Chauhan, JK Sandhu, and A Kumar “Study of process conditions on sur- face roughness in Incremental Forming Process”, Intl. Conf. on Mechatronics and Artificial Intelligence (ICMAI), IOP, 26-27 Feb 2021, Gurgaon, India.
53. A Mehta, JK Sandhu, M Pundir, R Kaur and L Sapra “Sinkhole Attack Detection in Wireless Sensor Networks”, 21st Intl. Conf. on Data Analytics and Management: An Indo-European Conference (ICDAM-2021), Elsevier, 26 June 2021, Jan Wyzykowski University, Poland.
54. M Pundir, JK Sandhu, R Kaur, and A Mehta “Machine Learning Based Energy Efficiency in Wireless Sensor Network”, 21st Intl. Conf. on Data Analytics and Management: An Indo- European Conference (ICDAM-2021), Elsevier, 26 June 2021, Jan Wyzykowski University, Poland.
55. Anjali, JK Sandhu, D Goyal “User Profiling in Travel Recommender System using Hybridization and Collaborative Method”, Intl. Conf. on Computing, Communication, and Intelligent Systems (ICCCIS 2021), IEEE, 19-20 Feb 2021, Greater Noida, India.
56. K Bhangu, JK Sandhu, L Sapra “Improving diagnostic accuracy for breast cancer using prediction-based approaches”, Intl. Conf. on Parallel, Distributed and Grid Computing (PDGC 2020), IEEE, 6-8 Nov 2020, Waknaghat, India.
57. A Mehta, JK Sandhu, L Sapra “Machine Learning in Wireless Sensor Networks: A Retrospective”, Intl. Conf. on Parallel, Distributed and Grid Computing (PDGC 2020), IEEE, 6-8 Nov 2020, Waknaghat, India.
58. R Kaur, JK Sandhu, L Sapra “Machine Learning Technique for Wireless Sensor Networks”, Intl. Conf. on Parallel, Distributed and Grid Computing (PDGC 2020), IEEE, 6-8 Nov 2020, Waknaghat, India.
59. DP Mahato, JK Sandhu, Gitanshu, and K Dutta “Distributed routing for underwater wire- less sensor networks using cuckoo search-ant colony optimization”, 21st Intl. Conf. on Distributed Computing and Networking (ICDCN 2020), ACM, 39(1-5), 4-7 Jan 2020, Kolkata, India.
60. N Goyal, JK Sandhu, and L Verma, “CDMA based Security against Wormhole Attack in Underwater Wireless Sensor Networks”, 1st Intl. Conf. on Advanced Communication and Computational Technology (ICACCT 2019), IEEE, 1-5, 6-7 Dec 2019, Kurukshetra, India.
61. L Verma, JK Sandhu, and N Goyal, “Intelligent Method for Detection of Coronary Artery Disease with Ensemble Approach”, 1st Intl. Conf. on Advanced Communication and Computational Technology (ICACCT 2019), IEEE, 1-5, 6-7 Dec 2019, Kurukshetra, India.
62. DP Mahato, JK Sandhu, NP Singh, and K Dutta, “Dependability Analysis for On-Demand Computing Based Transaction Processing System”, Intl. Conf. on Advanced Information Net- working and Applications (AINA 2019), Springer, 188-199, 27-29 Mar 2019, Matsue, Japan.
63. DP Mahato, and JK Sandhu, “Modeling of Load Balanced Scheduling and Reliability Evaluation for On-demand Computing Based Transaction Processing System”, 14th Intl. Conf. on e-Science, IEEE, 390-391, 29 Oct-1 Nov 2018, Amsterdam, Netherlands.
64. JK Sandhu, AK Verma, and PS Rana “A Data-Driven Framework for Survivable Wireless Sensor Networks”, 11th Intl. Conf. on Contemporary Computing (IC3), IEEE, 1-6, 2-4 Aug 2018, Noida, India.
65. JK Sandhu, AK Verma, and PS Rana “RCDR: Reliability Control Framework for Data Rate Prediction in Wireless Sensor Networks”, Intl. Conf. on Computing, Power and Communication Technologies (GUCON), IEEE, 1049-1053, 28-29 Sept 2018, Greater Noida, Uttar Pradesh, India.
66. JK Sandhu, and S Saxena “Procuring Wireless Sensor Actuator Network Security”, Intl. Conf. on Recent Cognizance in Wireless Communication and Image Processing, Springer, 905-916, 16-17 Jan 2015, Jaipur, India.
67. JK Sandhu, and S Saxena “Data agglomeration in wireless sensor networks”, Intl. Conf. on Parallel, Distributed and Grid Computing, IEEE, 285-289, 11-13 Dec 2014, Solan, India.

Edited Book

1. JK Sandhu, A Kumar, R Sahu, S Ahuja “From Pixels to Insights: Exploring Machine Learning and Deep Learning’s Impact on Computer Vision”, Wiley, 2025.
2. P Srivastava, D Ramteke, AK Bedyal, M Gupta, JK Sandhu “Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment”, IGI Global, 2023. DOI: 10.4018/978-1-6684-8117-2. ISBN: 9781668481172.
3. N Goyal, L Sapra, JK Sandhu “Energy-Efficient Underwater Wireless Communications and Networking”, IGI Global, 2021. DOI: 10.4018/978-1-7998-3640-7. ISBN: 9781799836407.

Book Chapters

1. T Verma, S Ahuja, JK Sandhu “From Pixels to Predictions: Deep Learning for Glaucoma Detection”, Applied Computer Vision through Artificial Intelligence, Wiley, 2025.
2. P Dwivedi, JK Sandhu, A Jain “From Theoretical Foundations to Data Synthesis: Advanced Applications of Generative Adversarial Networks (GANs)”, Applied Computer Vision through Artificial Intelligence, Wiley, 2025.
3. H Patil, JK Sandhu, B Nath “A Social Informatics-Based Approach for Examining the Mental Health Impact of Social Networking Sites”, Hybrid Soft Computing Techniques for Machine Learning and Optimization, IGI, 2025.
4. P Pulkit, JK Sandhu, R Sahu “Synergizing Ensemble Learning Techniques for Robust Emotion Detection Using EEG Signals”, Applied Computer Vision through Artificial Intelligence, Wiley, 2025.
5. A Apoorva, JK Sandhu, P Pulkit “Understanding the Unseen: Explainability in Deep Learning for Computer Vision”, Applied Computer Vision through Artificial Intelligence, Wiley, 2025.
6. A Kukkar, JK Sandhu “An Automatic Diagnosis System Based on Machine Learning Models for Predicting Hepatitis C from Blood Samples”, Data Science and Artificial Intelligence for Digital Healthcare, Springer, 2024.
7. G Singh, JK Sandhu “A Review on Mixed-Reality Technology in Medical Anatomy Structure”, Manufacturing Engineering and Materials Science, CRC Press - Taylor and Francis Group, 2024.
8. G Singh, A Kataria, S Jangra, A Mantri, JK Sandhu, T Sabapathy “Augmented Reality and Virtual Reality”, Smart Distributed Embedded Systems for Healthcare Applications, CRC Press - Taylor and Francis Group, 2023.
9. JK Sandhu, B Singla, M Pundir, S Rao, AK Verma “Software-defined Networking: Re- cent Development and Potential Synergies”, Software Defined Networking: Architecture and Applications, Wiley, 2022.
10. JK Sandhu, P Srivastava, Y Pathak, M Pundir “Intelligence and Security in the 5G - Oriented Internet of Things”, 5G and Beyond: The Future of IoT, Chapman and Hall/CRC, Routledge - Taylor and Francis Group, 2022.
11. V Sapra, L Sapra, JK Sandhu, G Chhabra “Biomedical Diagnostics through Nanocomputing”, Nanotechnology: Principles and Applications, CRC Press, Taylor and Francis Group, Auerbach Publications, pp.607-626, 2018.
12. JK Sandhu, AK Verma, and PS Rana “Next Generation Adaptable Opportunistic Sensing- based Wireless Sensor Networks a Machine Learning perspective.”, Machine Learning for Computer and Cyber Security Principle, Algorithms, and Practices, Jenny Stanford Publishing, Taylor and Francis Group, pp. 443-460, 2021.
13. JK Sandhu, AK Verma, and PS Rana “A Compendium of Security Issues in Wireless Sensor Networks”, Computer and Cyber Security: Principles, Algorithm, Applications, and Perspectives, CRC Press, Taylor and Francis Group, Auerbach Publications, pp.607-626, 2018.