Dr. Yogesh Kumar Rathore

Ph. D. (IT), NIT, Raipur, M. Tech. (CSE), B.E. (CSE)

Dr. Yogesh Kumar Rathore has completed Ph.D. in Information Technology from the esteemed National Institute of Technology, Raipur, in 2024. Prior to that, he completed a Master of Technology from Chhattisgarh Swami Vivekanand Technical University in 2011, and a Bachelor of Engineering from Pt. Ravishankar Shukla University in 2005. He has over 17 years of experience in Computer Science Engineering and has held positions as an Assistant Professor in the Department of Computer Science Engineering at various institutions in Chhattisgarh. Currently, he is working at Shri Shankaracharya Institute of Professional Management and Technology (SSIPMT) as an Assistant Professor in the Department of Computer Science Engineering.

Dr. Rathore has pursued continuous learning through certifications such as IBM Certified Rational Developer and Deep Learning from institutions like C-DAC, leadingindia.ai, Bennett University Noida, and Nvidia. He has made significant contributions to academia with over 50 publications in reputable journals and conferences, including notable entries in SCI, Scopus, and UGC care Journals. Additionally, he has authored an edited book, contributed chapters to internationally edited books, and authored a textbook on data mining. Dr. Rathore has also been involved in patenting, with three Indian patents published and two USA-granted patents, showcasing his expertise in the field of Computer Science Engineering.

Work Experience:

Approximately 17 years of teaching experience as an Assistant professor in the Computer Science & Engineering Department at Raipur Institute of Technology, Raipur, and Shri Shankaracharya Institute of Professional Management and Technology, Raipur
More than 11 years experience of teaching experience in PG courses like M. Tech. (CSE) and M. Tech. (AI and ML).
Worked as an M. Tech. coordinator (CSE) from AUG-2011 to 20th March- 2021 at Raipur Institute of Technology.
Research scholar at the National Institute of Technology, Raipur in the Department of Information Technology since Aug-2018
2 years experience in providing Training to the Employees of Chhattisgarh State Electric Board (CSEB), at Central Training Institute (CTI) Raipur on the topic Basics of Computers and Ms-Excel.
Served as a subject expert for 3 years in the interviewer panel of Navodaya Vidhyalaya Mana for the recruitment of a Computer Teacher.

Conferences

1. Paper presented on the topic ”An effective method for transferring color to grayscale image using luminance and texture matching without human intervention” at IEEE International Conference of Computer Engineering and Technology, Jodhpur (Rajasthan). 13-14 Nov -2010 and published in the proceedings of the conference, E-92-95.

2. “An Efficient and Effective Algorithm for Cross Level Frequent Pattern Mining” presented in IEEE International Conference on Advance in Engineering & Technology Research, 1st and 2nd August – 2014, at VSGOI, Lucknow.

3. “Recognition and Arrangement of Blood Cancer from Microscopic Cell Pictures Utilizing Support Vector Machine K-Nearest Neighbor and Deep Learning” presented in International Conference on Communication, Computing, and Internet of Things (IC3IoT), on 15-17 Feb. 2018 at Chennai, India, IEEE Explore (Scopus Index).

4. “Performance Comparison of Machine Learning Techniques for Epilepsy Classification and Detection in EEG Signal,” presented in International Conference on Data Management, Analytics & Innovation 2019, Kuala Lumpur, Malaysia. 18 - 20 January 2019 (Conference Proceeding by SPRINGER). (Scopus Index)

5. “Detection of Disease from Leaf of Vegetables and Fruits Using Deep Learning Technique” presented in International Conference on Biomedical Engineering Science and Technology, IC-BEST-2018 on 20th-21st Dec- 2018, at NIT Raipur (Conference Proceeding by SPRINGER) (Scopus Index).

6. “Deep Learning Applications” One-day International Virtual Conference on “Recent Trends, Challenges, in Image Analysis & Information Security” at Vellore Institute of Technology, Vellore, on 20/09/2018.

7. “Prediction of Leaf Diseases From Infected Leaves of Indian Crops, Vegetables And Fruits Using Machine Learning Techniques: Recent Trends And Challenges, presented in 2nd International conference on recent trends in renewable energy in the field of computer technologies and applications, organized at BIT, Raipur (CG) on 30-31st January , 2020.

8. “Lossless Technique for Image Encryption using Pixel Shuffling”, presented in 2nd International conference on recent trends in renewable energy in the field of computer technologies and applications, organized at BIT, Raipur (CG) on 30-31st January, 2020.

9. “Enhancing Learnability of Classification algorithms using Simple Data Preprocessing in fMRI Scans of Alzheimer’s Disease” presented in the international conference on automation, Signal Processing Instrumental and control, at Vellore Institute of Technology, Vellore, on 27/02/2020 (Conference Proceeding by SPRINGER) (Scopus Index).

10. Rathore, Y. K., & JANGHEL, R. R. (2021). Major Challenges on Using Machine Learning and Deep Learning Techniques to Detect Leaf Diseases in Asian Countries. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 232-244 (Scopus Index).

11.Kumar, P. R., Kiran, R., Singh, U. P., Rathore, Y., & Janghel, R. R. (2022, April). Rice Leaf Disease Detection using Mobile Net and Inception V. 3. In 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (pp. 282-286). IEEE (Scopus Index).

12.Bhartiya, V. P., Janghel, R. R., & Rathore, Y. K. (2022, March). Rice Leaf Disease Prediction Using Machine Learning. In 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) (pp. 1-5). IEEE (Scopus Index).

13.Kumar, A., Rajanand, A., Kujur, A. D., Rathore, Y., & Janghel, R. R. (2022, April). Segmentation of Rice Seedling using Deep Learning Algorithm. In 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (pp. 164-168). IEEE (Scopus Index).

14. Sharma, V., Mukhopadhyay, D., Gupta, K., Rathore, Y., & Jagadeesan, P. (2023, December). Identifying Leukemia Subtypes with Deep Learning and Blood Cell Image. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-6). IEEE (Scopus Index).

15. Pandey, S. K., Singh, K. U., Kumar, G., Singh, T., Rathore, Y. K., & Kumar, A. (2023, December). COVID-19 Vaccination Progress and Projections Across African Continents. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-6). IEEE (Scopus Index).

16. Rathore, Y., Chaturvedi, V. M., Karwande, V. S., Rokade, A. H., & Nagargoje, Y. (2023, December). Patient Engagement and Satisfaction in Ai-Enhanced Healthcare Management. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-7). IEEE (Scopus Index).

17. Rathore, Y., Sinha, U., Haladkar, J. P., Mate, N. R., Bhosale, S. A., & Chobe, S. V. (2023, December). Optimizing Patient Flow and Resource Allocation in Hospitals using AI. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-6). IEEE (Scopus Index).

18. Kumar, A., Singh, K. U., Singh, T., Banu, N., Rathore, Y. K., & Pandey, S. K. (2023, December). Liver Tumour Parameter Prediction Using Feature Extraction and Supervised Function. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-5) IEEE (Scopus Index).

19. Trivedi, A., Patra, J. P., & Rathore, Y. K. (2023, December). Identification and classification of oral cancer using machine learning techniques. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-5) IEEE (Scopus Index).

Papers in Journals:

1. Janghel, R. R., & Rathore, Y. K. (2021). Deep convolution neural network-based system for early diagnosis of Alzheimer's disease. Irbm, Elsevier, 42(4), ,258-267. (SCI Index)

2. Rathore, Y. K., Janghel, R. R., Pandey, S. K., Kumar, A., Singh, K. U., & Shah, M. A. (2022). A Novel AI-Based Approach for Better Segmentation of the Fungal and Bacterial Leaf Diseases of Rice Plant. Journal of Sensors. (SCI Index)

3. Rathore, Y. K., Janghel, R. R., Swarup, C., Pandey, S. K., Kumar, A., Singh, K. U., & Singh, T. (2023). Detection of rice plant disease from RGB and grayscale images using an LW17 deep learning model. Electronic Research Archive, 31(5), 2813-2833. (SCI Index)

4. Rathore, Y. K., & Janghel, R. R. (2021). Major challenges on using machine learning and deep learning techniques to detect leaf diseases in Asian countries. Plant Cell Biotechnology and Molecular Biology, 232-244. (Scopus Index)

5. Dewangan, N. K., Roy, P., & Rathore, Y. K. (2023). Online Multi-Video Conference System to Monitor ICU Patients. Research Journal of Pharmacy and Technology, 16(3), 1521-1526. (Scopus Index).

6. “Enhancing the Quality of Highly Hazed Image Using Color Attenuation Prior and Fuzzy Logic” published in International Journal of Novel Research And Development (IJNRD), Jan 2017 (indexed by Thomson Reuters/Google Scholar).

7. “Removal of Haze Effect from Hazy Images Using Image Processing and Fuzzy Logic Techniques”, Published in the international journal of computer science and Engineering (IJCSE), May 2018 (UGC Care/ Google Index).

8. “Underwater Image Enhancement using Image Processing Techniques: A Review” Publish in International Journal of Computer Science and Engineering (IJCSE), Feb 2021 (UGC Care/Google Scholar Index).

9. Indoria, Priyanka; Rathore, Yogesh Kumar; A survey: detection and prediction of diabetes using machine learning techniques International Journal of Engineering Research & Technology (IJERT) 7 3 287-291 2018. (Peer-Reviewed, Google Scholar index)

10. Dewangan, Deepak Kumar; Rathore, Yogesh; Image quality costing of the compressed image using full reference method International Journal of Technology 1 2 68-71 2011. (Peer-Reviewed, Google Scholar index)

11. Paswan, Sachin; Rathore, Yogesh; Recognition and Arrangement of Blood Cancer from Microscopic Cell Pictures Utilizing Support Vector Machine K-Nearest Neighbor and Deep Learning 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT) 525-530 2018. (Peer-Reviewed, Google Scholar index)

12. Mandal, Naveen; Rathore, Yogesh; Classification of fungal and bacterial leaf diseases using machine learning techniques 2018. (Peer-Reviewed, Google Scholar index)

13. Ali, Syed Zishan; Rathore, Yogesh; A Comprehensive Study of Major Techniques Of Multi Level Frequent Pattern Mining: A Survey. (Peer-Reviewed, Google Scholar index)

14. Dewangan, Deepak Kumar; Rathore, Yogesh; Image Quality estimation of Images using Full Reference and No Reference Method. International Journal of Advanced Research in Computer Science 2 5, 2011. (Peer-Reviewed, Google Scholar index)

15. Yadav, Preeti; Rathore, Yogesh; Yadu, Aarti; DWT-based copy-move image forgery detection International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) 1 5 56-58 2012. (Peer-Reviewed, Google Scholar index)

16. Agrawal, Preeti; Rathore, Yogesh; An Approach for Effective Resource Management in Cloud Computing Int. J. Tech 1 2 121-124 2011. (Peer-Reviewed, Google Scholar index)

17. Agrawal, Umesh; Rathore, Yogesh; Tripathi, Achin; An Efficient Method for Image Matching and Retrieval Research Journal of Engineering and Technology 1 2 74-78 2010. (Peer-Reviewed, Google Scholar index)

18. Paswan, Sachin; Rathore, Yogesh Kumar; Detection and classification of blood cancer from microscopic cell images using SVM KNN and NN classifier Int. J. Adv. Res. Ideas Innov. Technol 3, 315-324 2017. (Peer-Reviewed, Google Scholar index)

19. Khan, Huma; Rathore, Yogesh; Study and Analysis of Human Gait to Recognize the Person International Journal of Science and Research (IJSR), India Online ISSN 2319-7064. (Peer-Reviewed, Google Scholar index)

20. Khadatkar, Deepak Rao; Rathore, Yogesh; An Efficient and Useful Hybrid Approach for Detection of Lung Cancer Research Journal of Engineering and Technology 2 4 199-202 2011. (Peer-Reviewed, Google Scholar index)

21. Jaiswal, Avisha; Pathak, Saurabh; Rathore, Yogesh Kumar; Janghel, Rekh Ram; Detection of disease from leaf of vegetables and fruits using deep learning technique Advances in Biomedical Engineering and Technology: Select Proceedings of ICBEST 2018 199-206 2021. (Peer-Reviewed, Google Scholar index)

22. George, Disha; Rathore, Yogesh; Lip Motion Synthesis Using Principal Component Analysis International Journal of Innovative Research in Computer and Communication Engineering 1 9 2111-2116 2013. (Peer-Reviewed, Google Scholar index)

23. Janghel, Rekh Ram; Sahu, Satya Prakash; Rathore, Yogesh Kumar; Singh, Shraddha; Pawar, Urja; Application of Deep Learning in Speech Recognition Handbook of Research on Deep Learning Innovations and Trends 59-71 2019. (Peer-Reviewed, Google Scholar index)

24. Garg, Rishu; Janghel, Rekh Ram; Rathore, Yogesh; Enhancing Learnability of Classification Algorithms Using Simple Data Preprocessing in fMRI Scans of Alzheimer’s Disease Advances in Automation, Signal Processing, Instrumentation, and Control: Select Proceedings of i-CASIC 2020 1055-1063 2021. (Peer-Reviewed, Google Scholar index)

25. Rathore, Yogesh; Dhole, Avinash; Giri, Ramnivas; Agrawal, Umesh; Colorization of grayscale images using fully automated approach The International Journal on Electronics & Communication Technology 1 16-19 2010. (Peer-Reviewed, Google Scholar index)

26. Agrawal, Preeti; Rathore, Yogesh; Resource management in cloud computing with increasing dataset Int. J. Emerg. Technol. Adv. Eng., ISSN 2250-2459 2012. (Peer-Reviewed, Google Scholar index)

27. Yadav, Preeti; Rathore, Yogesh; Detection of copy-move forgery of images using discrete wavelet transform International Journal on Computer Science and Engineering 4 4 565 2012. (Peer-Reviewed, Google Scholar index)

28. Rathore, Yogesh; Dhole, Avinash; Giri, Ram Nivas; An Effective Method for Transferring Color to Gray Scale Image Using Luminance Matching Without Human Intervention Research Journal of Engineering and Technology 1 1 47-49 2010. (Peer-Reviewed, Google Scholar index)

29. Rathore, Yogesh; Ahirwar, Manish K; Pandey, Rajeev; A brief study of data compression algorithms International Journal of Computer Science and Information Security 11 10 86 2013. (Peer-Reviewed, Google Scholar index)

30. Rathore, Yogesh Kumar; Janghel, Rekh Ram; Major challenges on using machine learning and deep learning techniques to detect leaf diseases in Asian countries Plant Cell Biotechnology and Molecular Biology 232-244 2021. (Peer-Reviewed, Google Scholar index)

31. Kshatri, Mrs Madhavi; Rathore, Yogesh; A Hybrid Approach for Content-Based Image Retrieval System, (Peer-Reviewed, Google Scholar index)

For further papers, you may visit my GoogleScholar Profile @ https://scholar.google.com/citations?user=kMvagg4AAAAJ&hl=en

Books:

An edited book on title "Applications of Artificial Intelligence in Healthcare "Published by Nova Publications, USA in the year 2023.
An edited book on title Supervised and Unsupervised Data Engineering for Multimedia Data, Published by (Wiley Publications), 2024, pp. xxi–xxii

Book Chapters

1. Khadatkar, D.R., Rathore, Y.K., Internet of Robotics Things (IoRT) in Healthcare Systems, Applications of Artificial Intelligence in the Healthcare Sector, 2023, pp. 153–162. (Scopus Index).

2. Patra, J.P., Singh, M.K., Rathore, Y.K., Khadatkar, D., Augmented and Virtual Reality in Social Learning: Technological Impacts and Challenges in the Book An innovative application using augmented reality to Enhance the Teaching-learning process in school education, , 2023, pp. 141–157(Scopus Index).

3. Rathore, Yogesh Kumar; Janghel, Rekh Ram; Prediction of Stage of Alzheimer's Next Generation Healthcare Systems Using Soft Computing Techniques 84 2022. (CRC Press).

4. Janghel, R. R., Rathore, Y. K., & Tatiparti, G. (2019). Epileptic seizure detection and classification using machine learning. In Early detection of neurological disorders using machine learning systems (pp. 152-164). IGI Global.

5. Janghel, R. R., Sahu, S. P., Rathore, Y. K., Singh, S., & Pawar, U. (2019). Application of Deep Learning in Speech Recognition. In Handbook of Research on Deep Learning Innovations and Trends (pp. 59-71). IGI Global, Hershey, Pennsylvania 17033-1240, USA.

6. Patra, J. P., Verma, G., Rathore, Y. K., Jain, A. K., & Samal, S. (2022). A Novel Approach to Enhance the Employability Skills of Higher Education Students Through Teaching Learning Techniques and Tools. In Development of Employability Skills Through Pragmatic Assessment of Student Learning Outcomes (pp. 122-134). IGI Global. Hershey, Pennsylvania 17033-1240, USA

7. Swarnkar, S.K., Patra, J.P., Kshatri, S.S., Rathore, Y.K., Tran, T.A., Supervised and Unsupervised Data Engineering for Multimedia Data, Supervised and Unsupervised Data Engineering for Multimedia Data, 2024, pp. 1–303 (Wiley)

Patents:

1. “RFID Based Vehicle Identification System And Access Control Into Parking” Application Number 202141050782,

published on 19/11/2021.

2. “Plant Leaf Disease Detection using Deep Learning and Image Processing Techniques” Application Number 202221003039

file on 19/01/2022.

3. UK Design Patent [6308402] "Smart Garbage Bin with Biogas Generator", 2023. (Granted)

STTP/FDP Attended

Two National level conferences were Attended on “Role of Communication Technology in the Society” and “Data Security and Integrity” at (RITEE) on 16-02-2008 and 18-02-2010 respectively.
One-day seminar on the topic MATLAB and SIMULINK for Engineering Education held on 11/03/2013 by Mathworks India.
Two days workshop on the topic “Simulation Using MATLAB”, organized at Bapurao Deshmukh College of Engineering, Sevegram, Wardha (M.H.) on 19-20 JAN-2013.
Conducted a day workshop on the topic “Image Processing using MATLAB” as the Main speaker and trainer at Pragati College Raipur on 19/11/2014.
Conducted a two-day workshop on the topic “Image Processing and Soft Computing Using MATLAB” as the Main speaker and trainer at MATS University, Raipur on 24/11/2016.
Attended a one-week Short-term Training (STTP) program on “Soft Computing Techniques and Robotics” from 4 – 8 September 2017 organized by the Department of Information and Technology, NIT, Raipur.
Attended one day workshop on “Scientific writing & Interaction with Experts From ROSTOCK University (Germany)”, organized by CSVTU, Bhilai on 25th November 2017.
Attended a one-week Short-term Training (STTP) program on “Computational Intelligence and Cloud Computing” from 26 – 30th December 2017 organized by the Department of Information and Technology, NIT, Raipur.
Faculty Development Program Attended “Wireless and Mobile Communication” (A course offered by IIT Faculty with NIT Raipur as a Remote Center) from 3/12/2018 to 07/12/2018.
Give a Lecture as Key Note Speaker at a National conference on “Data Learning Through Deep Learning”, organized by Vipra College, Raipur on 14th February 2019.
One-week FDP attended on the Topic "Machine Learning Using Python", organized by Bhilai Institute of Technology, Bhilai (CG) from 26th to 31st May 2021
One-week FDP attended on Topic "Deep Learning and Computer Vision" organized by Kamla Nehru Institute Sultanpuri (UP) from 7th to 11th July 2021.

Professional Membership

1. Professional Member of IEEE Society, Member Id: #98390321, Madhya Pradesh Section.

2. Membership of IEEE Young Professional Society.

3. Professional membership of IFERP

4. Life Time Membership of the Society for Technologically Advanced Materials, India. (Membership no. LM-ET-0848).