NAVNISH GOEL

EDUCATION

 Pursuing Ph.D. (CSE) from HRIT University Ghaziabad.
 Master of Technology (Computer Science & Engineering) with First Class (7.71 CGPA) from Mansarovar Global University, Bhopal, in the session 2022 to 2024.
 Master of Technology (Information Technology) with First Class (83%, Grade A) from Karnataka State Open University, Mysore, in the session 2008 to 2010.
 Bachelor of Engineering (Computer Science & Engineering) with First Class (68%) from S. D. College of Engineering & Technology Muzaffarnagar (Ch. Charan Singh University Meerut), in the session 1999 to 2003.

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Science, Cancer Research, Computer Vision and Pattern Recognition

Scopus Publications

Ethical considerations in AI: Applications for wildlife conservation
Pawan Kumar Goel, Soniya Saifi, Navnish Goel, Shikha Aeron, Sheetal Yadav, Sakil Ahmad Ansari
AI and Machine Learning Techniques for Wildlife Conservation, 2025
The integration of Artificial Intelligence (AI) in wildlife conservation is a significant step towards maintaining biodiversity and ecological balance. However, the ethical implications of AI use, particularly in relation to privacy and data security, are crucial. Existing literature highlights challenges like potential privacy infringement and biases in data collection. A novel framework for ethical AI implementation in wildlife conservation emphasizes transparency, accountability, and local stakeholder involvement. This approach addresses ethical concerns systematically while optimizing AI benefits for conservation. Pilot studies show significant improvements in data handling and conservation strategies compared to traditional methods. This approach sets a new standard for ethical practices in wildlife conservation.
Software Requirements Prioritization Using Fuzzy Based TOPSIS Methods
Virat Raj Saxena, Babloo Kumar, Navnish Goel, Yogesh Kumar Sharma
Communications in Computer and Information Science, 2025
Revolutionizing healthcare: The role of artificial intelligence in transforming eHealth care
Navnish Goel, Mukul Maurya, Jolly Sharma
Explainable Artificial Intelligence for Biomedical and Healthcare Applications, 2024
The integration of artificial intelligence (AI) into the realm of eHealth care has led to a significant transformation after the COVID-19 pandemic all over the world. This shift has been driven by the increased computational capabilities that have propelled AI into the mainstream. Among the various domains within healthcare, the eHealth care sector has emerged as a notable beneficiary of AI's advancements. From streamlining administrative tasks such as issuing electronic healthcare cards to facilitating personalized counselling services and dispatching medicine on demand to patients, AI is reshaping the landscape of eHealth care all over the world. Through a systematic assessment of recent research and innovative initiatives, this review work highlights the ways in which AI-driven technologies are revolutionizing healthcare particularly in the context of enhancing patient experiences and health outcomes. By harnessing the power of real-time, data-driven decision-making, AI empowers clinicians to make informed choices, thereby expanding the virtual care options across the entire care continuum. The healthcare industry's growing reliance on AI's data processing and analytical capabilities is mirrored in the research endeavors aimed at leveraging these strengths in eHealth applications.
Breast Cancer Segmentation Recognition Using Explored DCT-DWT based Compression
Navnish Goel, Akhilendra Yadav, Brij Mohan Singh
Recent Patents on Engineering, 2022
Background and Objective: Breast cancer is a leading cause of death worldwide, and its early detection is usually performed with low quality clinical images. Due to unpredictable structure of breast and characterization of cancer, disease in early stages is yet a difficult issue for specialists and analysts. The accurate identification of breast cancer is an important step in its early stage to avoid drastic death rate. With the advancement in the field of medical science, advancements have been created to a phase where the medicinal services industry demonstrates to give best outcomes most precisely. Method: It is observed that the breast cancer images are analyzed after decompression during telecommunications. In this paper, first we aimed to compress malignant cancer images so that it could illuminate the motivation behind the telemedicine by applying preprocessing techniques and second identification, classifications of breast cancer disease depend on segmentation using discrete cosine transformation and discrete wavelet transformation. Result: Segmentation addresses the problem to identify the characteristics of malignant cancer. The segmented image eliminates the false positives, to obtain a clear-segmented image. Segmentation methods are based on a structural approach to isolate the breast edge and a region approach to extract the malignant portion. The result of image quality index achieved the output based on fusion techniques. Conclusion: Because of the unpredictable structure of the breast and low quality of clinical images, a precise discovery, position, and characterization of the disease in early stages are considered a difficult issue for specialists and analysts. The breast cancer could detect and segment if highly efficient image compression is achieved successfully. The conclusion procedure of disease infection is time taking and requires storage capacity limit in computer system. A large number of Magnetic Resonance Imaging techniques were assembled as required and an enormous assortment for each wiped out individual required huge space for capacity just as a wide transmission transfer speed for computer system framework and again additionally for transmission over the web. Our proposed method can be useful for accurate and automatic classification of malignant cells from medical images by the specialist, with a goal that genuine cases would create novel outcomes and improve endurance rates.
Medical image processing: A review
Navnish Goel, Akhilendra Yadav, Brij Mohan Singh
2nd IEEE International Conference on Innovative Applications of Computational Intelligence on Power Energy and Controls with their Impact on Humanity Cipech 2016, 2017
The advent of computer aided technologies image processing techniques have become increasingly important in a wide variety of medical applications. Intervention between the protection of useful diagnostic information and noise suppression must be treasured in medical images. Image denoising is an applicable issue found in diverse image processing and computer vision problems. There are various existing methods to denoise images. The important property of a good image denoising model is that it should completely remove noise as far as possible as well as preserve edges. This paper presents a review of some major work in area of image denoising. The objective in all discipline is to extract information about the scene being imaged. The rapid progress in computerized medical image reconstruction and the associated developments in analysis methods and computer-aided diagnosis has boosted medical imaging into one of the most important sub-fields in scientific imaging Ultrasound, MRI, CT-Scan, PET Scan are the medical techniques mainly used by the radiologist for visualization of internal structure of the human body without any surgery. These provide ample information about the human soft tissue, which helps in the diagnosis of human diseases.

RECENT SCHOLAR PUBLICATIONS

Enhancing Explainability in Cardiac Arrest Systems–A Novel Ensemble Approach using AI
Y Chauhan, N Goel, A Agarwal, A Rai
International Conference on Advances and Applications in Artificial … , 2025
2025
Ethical Considerations in AI Applications for Wildlife Conservation
SAA Pawan Goel, Soniya Saifi, Navnish Goel, Shikha Aeron, Sheetal Yadav
AI and Machine Learning Techniques for Wildlife Conservation, 480 , 2025
2025
Revolutionizing Healthcare: The Role of Artificial Intelligence in Transforming eHealth care
JS Navnish Goel, Mukul Maurya
https://doi.org/10.1201/9781003220107 , 2024
2024
AI BASED CYBER SECURITY DATA ANALYTIC DEVICE
N Goel
2024
Breast Cancer Segmentation Recognition Using Explored DCT-DWT based Compression
N Goel, A Yadav, BM Singh
Recent Patents on Engineering 15 (1) , 2021
2021
Citations: 7
Medical image processing: A Review
N Goel, A Yadav, BM Singh
Computational Intelligence on Power, Energy and Controls with their Impact … , 2016
2016
Citations: 93
Medical image processing: a review. In 2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on …
N Goel, A Yadav, BM Singh
IEEE , 2016
2016
Citations: 8
Data Mining Technique With Crossbreeding Neural Network: LVQ And Hopfield
A Maurya, N Goel, T Kumar, S Goel, R Rana
Scholedge International Journal Of Multidisciplinary & Allied Studies 1 , 2014
2014
Citations: 2
Image Compression Technique: A Review
T Kumar, AK Vashishtha, A Kumar, N Goel, D Chaudhary
About Mewar University , 2012
2012
Network Security and Cryptography Methods against Impending Virtual World
N Goel, A Maurya, A Kumar, AK Vashishtha
About Mewar University , 2012
2012
E-Waste: A Hidden Threat to Global Environment and Health
D Mittal, N Goel, R Rani
VSRD International Journal of Science and Technology 2 (3), 271-275 , 2012
2012
Citations: 7
Chaffing and winnowing without using steganography and encryption technique
A Maurya, PK Saini, N Goel
International Journal of Information Technology 4 (2), 515-517 , 2011
2011
Citations: 1
INFORMATION SECURITY: ENCRYPTION AND DECRYPTION WITH POLY ALPHABETIC SUBSTITUTION METHOD
N Goel, A Maurya, B Kumar
International Journal of Computer Science and Communication 2 (January-June) , 2011
2011

MOST CITED SCHOLAR PUBLICATIONS

Medical image processing: A Review
N Goel, A Yadav, BM Singh
Computational Intelligence on Power, Energy and Controls with their Impact … , 2016
2016
Citations: 93
Medical image processing: a review. In 2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on …
N Goel, A Yadav, BM Singh
IEEE , 2016
2016
Citations: 8
Breast Cancer Segmentation Recognition Using Explored DCT-DWT based Compression
N Goel, A Yadav, BM Singh
Recent Patents on Engineering 15 (1) , 2021
2021
Citations: 7
E-Waste: A Hidden Threat to Global Environment and Health
D Mittal, N Goel, R Rani
VSRD International Journal of Science and Technology 2 (3), 271-275 , 2012
2012
Citations: 7
Data Mining Technique With Crossbreeding Neural Network: LVQ And Hopfield
A Maurya, N Goel, T Kumar, S Goel, R Rana
Scholedge International Journal Of Multidisciplinary & Allied Studies 1 , 2014
2014
Citations: 2
Chaffing and winnowing without using steganography and encryption technique
A Maurya, PK Saini, N Goel
International Journal of Information Technology 4 (2), 515-517 , 2011
2011
Citations: 1
Enhancing Explainability in Cardiac Arrest Systems–A Novel Ensemble Approach using AI
Y Chauhan, N Goel, A Agarwal, A Rai
International Conference on Advances and Applications in Artificial … , 2025
2025
Ethical Considerations in AI Applications for Wildlife Conservation
SAA Pawan Goel, Soniya Saifi, Navnish Goel, Shikha Aeron, Sheetal Yadav
AI and Machine Learning Techniques for Wildlife Conservation, 480 , 2025
2025
Revolutionizing Healthcare: The Role of Artificial Intelligence in Transforming eHealth care
JS Navnish Goel, Mukul Maurya
https://doi.org/10.1201/9781003220107 , 2024
2024
AI BASED CYBER SECURITY DATA ANALYTIC DEVICE
N Goel
2024
Image Compression Technique: A Review
T Kumar, AK Vashishtha, A Kumar, N Goel, D Chaudhary
About Mewar University , 2012
2012
Network Security and Cryptography Methods against Impending Virtual World
N Goel, A Maurya, A Kumar, AK Vashishtha
About Mewar University , 2012
2012
INFORMATION SECURITY: ENCRYPTION AND DECRYPTION WITH POLY ALPHABETIC SUBSTITUTION METHOD
N Goel, A Maurya, B Kumar
International Journal of Computer Science and Communication 2 (January-June) , 2011
2011