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 19 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, having over 60 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 Computer Science Engineering.

Work Experience and Responsibilities:

1. Approximately 19 years of teaching experience as an Assistant Professor in the Computer Science & Engineering Department at Raipur Institute of Technology, RITEE (from 10th July 2006 to 22/03/2021). Currently working as an assistant professor (CSE) (from 23/03/2021 to date) at Shri Shankaracharya Institute of Professional Management and Technology, Raipur (CG)

2. More than 14 years of experience teaching PG courses (M. Tech, CSE) at RITEE and SSIPMT, Raipur

3. Worked as an M.Tech. coordinator (CSE) from August 2011 to 22/03/2021 at Raipur Institute of Technology Raipur.

4. Worked as the in-charge of the Entrepreneurship Development Cell (EDC) at RITEE from 2017 to 2021,

5. Working as Dean (Training and Placement) at SSIPMT, Raipur since 10/10/2023.

6. 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.

7. Served as a subject expert for 3 years in the interviewer panel of Navodaya Vidhyalaya Mana for the recruitment of a Computer Teacher.

8. Member of the Board of studies for the Department of computer science and Engineering in Chhattisgarh Swami Vivekanand University Bhilai.

9. Served as conference Chair in the International Conference on Advances in Multidisciplinary Research and Applications (ICAMRA-2023), on June 15th -16th, 2023, at Bharti Vishawavidhyalaya Durg, (CG).

10. Served as General Co-Chair International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), on December 29th-30th , 2023, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (CG).

11. Served as Organizing Secretary for 3rd International Conference on Sustainable Research in Engineering Science and Management Advances in Multidisciplinary Research and Applications, on December 16th, 2022, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (CG)

Conferences

1. Deota, O., Sahu, S., Verma, S., & Rathore, Y. K. (2025, June). AI-monitored precision tracking & coal quality prediction system. In International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025) (pp. 72-89). Atlantis Press.

2. Pandey, A. K., Tigga, A., Ali, A., & Rathore, Y. K. (2025, June). Supply Chain Management for Multi-Modal Visibility of Coal Transportation Using Real Time Data Visualization. In International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025) (pp. 335-344). Atlantis Press.

3. Rathore, Yogesh Kumar, Rekh Ram Janghel, and Monoj Pradhan. "Performance Analysis of Transfer Learning Models to Detect the Rice Plant Leaf Diseases from Real-Time Data of Chhattisgarh State of India." In International Conference on Intelligent Technologies, pp. 119-131. Singapore: Springer Nature Singapore, 2023. (Scopus Index)

4. Sharma, Vishal, Debabrata Mukhopadhyay, Kirti Gupta, Yogesh Rathore, and P. Jagadeesan. "Identifying leukemia subtypes with deep learning and blood cell images." In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), vol. 1, pp. 1-6. IEEE, 2023. (Scopus Index)

5. Pandey, Saroj Kumar, Kamred Udham Singh, Gaurav Kumar, Teekam Singh, Yogesh Kumar Rathore, and Ankit Kumar. "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, 2023. (Scopus Index)

6. Kumar, Ankit, Kamred Udham Singh, Teekam Singh, Nargis Banu, Yogesh Kumar Rathore, and Saroj Kumar Pandey. "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, 2023. (Scopus Index)

7. Rathore, Yogesh, Upasana Sinha, Jaysing Pandurang Haladkar, Nilesh R. Mate, Supriya Ashok Bhosale, and Santoshkumar Vaman Chobe. "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, 2023. (Scopus Index)

8. Rathore, Yogesh, Vandana Mishra Chaturvedi, Vijay Suresh Karwande, Anil Haribhau Rokade, and Yogesh Nagargoje. "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, 2023. (Scopus Index)

9. Trivedi, Ashish, J. P. Patra, and Yogesh Kumar Rathore. "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, 2023. (Scopus Index)

10. Rathore, Yogesh Kumar, Rekh Ram Janghel, and Monoj Pradhan. "Performance Analysis of Transfer Learning Models to Detect the Rice Plant Leaf Diseases from Real-Time Data of Chhattisgarh State of India." In International Conference on Intelligent Technologies, pp. 119-131. Singapore: Springer Nature Singapore, 2023. (Scopus Index)

11. Tejaswini, Pallapothala, Priyanshi Singh, Monica Ramchandani, Yogesh Kumar Rathore, and Rekh Ram Janghel. "Rice leaf disease classification using CNN." In IOP Conference Series: Earth and Environmental Science, vol. 1032, no. 1, p. 012017. IOP Publishing, 2022. (Scopus Index)

12. Kumar, Prithvi Raj, Raj Kiran, Uday Pratap Singh, Yogesh Rathore, and Rekh Ram Janghel. "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, 2022. (Scopus Index)

13. Kumar, Avinash, Ashish Rajanand, Anurag Deep Kujur, Yogesh Rathore, and Rekh Ram Janghel. "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, 2022. (Scopus Index)

14. Rajak, Prince, Yogesh Rathore, Rekh Ram Janghel, and Saroj Kumar Pandey. "Rice Leaf Disease Identification Using Transfer Learning." In International Conference on Machine Intelligence and Signal Processing, pp. 449-461. Singapore: Springer Nature Singapore, 2022. (Scopus Index)

15. Bhartiya, Varun Pramod, Rekh Ram Janghel, and Yogesh Kumar Rathore. "Rice leaf disease prediction using machine learning." In 2022 second international conference on power, control and computing technologies (ICPC2T), pp. 1-5. IEEE, 2022. (Scopus Index)

16. Jaiswal, Avisha, Saurabh Pathak, Yogesh Kumar Rathore, and Rekh Ram Janghel. "Detection of disease from leaf of vegetables and fruits using deep learning technique." In Advances in Biomedical Engineering and Technology: Select Proceedings of ICBEST 2018, pp. 199-206. Singapore: Springer Singapore, 2020. (Scopus Index)

17. Garg, Rishu, Rekh Ram Janghel, and Yogesh Rathore. "Enhancing learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease." In International Conference on Automation, Signal Processing, Instrumentation and Control, pp. 1055-1063. Singapore: Springer Nature Singapore, 2020. (Scopus Index)

18. Janghel, Rekh Ram, Archana Verma, and Yogesh Kumar Rathore. "Performance comparison of machine learning techniques for epilepsy classification and detection in EEG signal." In Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019, Volume 1, pp. 425-438. Singapore: Springer Singapore, 2019. (Scopus Index)

19. Paswan, Sachin, and Yogesh Rathore. "Recognition and Arrangement of Blood Cancer from Microscopic Cell Pictures Utilizing Support Vector Machine, K-Nearest Neighbor and Deep Learning." In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), pp. 525-530. IEEE, 2018. (Scopus Index)

20. Ali, Syed Zishan, and Yogesh Rathore. "An effective and efficient algorithm for cross-level frequent pattern mining." In 2014 International Conference on Advances in Engineering & Technology Research (ICAETR-2014), pp. 1-6. IEEE, 2014. (Scopus Index).

21. Rathore, Yogesh Kumar, Avinash Dhole, and Ram Nivas Giri “An effective method for transferring color to grayscale image using luminance and texture matching without human intervention” at the IEEE International Conference of Computer Engineering and Technology, Jodhpur (Rajasthan). 13-14, Nov 2010 and published in the conference proceedings, E-92-95. (IEEE)

Papers in Journals:

Rathore, Y. K., Pandey, S. K., Dubey, R., Sinha, A., Maheshwari, P., Kumar, N., & Mishra, P. K. (2025). Deep Tripartite Architecture for Precise MRI-Based Brain Tumor Classification Using CNN and SVM Fusion. Biomedical Materials & Devices, 1-9. Springer (SCI indexed).
Pandey, Saroj Kumar, Yogesh Kumar Rathore, (2025) et al., "Inductive and Transfer Learning based hybrid model Techniques for Accurate and Automated Diagnosis of Neurological Diseases", Brain and Behavior, Article ID: BRB370788, 10.1002/brb3.70788 (Wiley)(SCI indexed).
Rathore, Y. K., Swami, P., Dewangan, D. K., Trivedi, A., & Dubey, R. (2025). Intelligent SWIPT-Assisted UAV-IRS Architecture. IEEE Access. (SCI Indexed).
Pandey, Saroj Kumar, Yogesh Kumar Rathore, Manoj Kumar Ojha, Rekh Ram Janghel, Anurag Sinha, and Ankit Kumar. "BCCHI-HCNN: breast cancer classification from histopathological images using hybrid deep CNN models." Journal of Imaging Informatics in Medicine 38, no. 3 (2025): 1690-1703. (SCI indexed)
Gosavi, V. R., Chavan, M., Joshi, S. M., Karale, A. V., Pati, B. K., & Rathore, Y. K. (2025). Developing AI-Based Clinical Decision Support Systems for Drug Suggestions: Enhancing Patient Outcomes. Research Journal of Pharmacy and Technology, 18(4), 1854-1860. (Scopus Index)
Kshatri, Sapna Singh, and Yogesh Kumar Rathore. "Real-time driver distraction detection using fast R-CNN algorithm." National Academy Science Letters (2025): 1-6. (Springer)(SCI indexed)
Pandey, Rajendra Kumar, and Yogesh Kumar Rathore. "Deep learning in 3D cardiac reconstruction: a systematic review of methodologies and dataset." Medical & Biological Engineering & Computing (2025): 1-17. (Springer)(SCI indexed)
Rathore, Yogesh Kumar, Narendra Dewangan, and Suman Kumar Swarnkar. "Comprehensive Approaches to Pharmaceutical Marketing: Balancing Innovation and Regulation." Research Journal of Pharmacy and Technology 17, no. 11 (2024): 5480-5484. (Scopus Index).
Gaddam, Shreyas, Lakhan Baheti, Lavanya Gokhale, and Yogesh Kumar Rathore. "Advanced Search And Summarization Of Educational Documents Using Machine Learning." Journal of Nonlinear Analysis and Optimization Vol. 15, Issue. 1, No.6 (2024), 164-171 (UGC Care)
Joshi, Sagar Vasantrao, Sarika B. Patil, Sarika N. Patil, Sushma Bhosle, Neeta Pramod Karhadkar, and Yogesh Kumar Rathore. "Machine Learning Applications in Hospital Pharmacy for Predicting Drug Shortages and Supply Chain Optimization."Research Journal of Pharmacy and Technology, 18(6), 2023, 2739-2746. (Scopus Index)
Rathore, Yogesh Kumar, Rekh Ram Janghel, Chetan Swarup, Saroj Kumar Pandey, Ankit Kumar, Kamred Udham Singh, and Teekam Singh. "Detection of rice plant disease from RGB and grayscale images using an LW17 deep learning model." Electronic Research Archive 31, no. 5 (2023). (SCI indexed)
Dewangan, Narendra Kumar, Partha Roy, and Yogesh Kumar Rathore. "Online multi-video conference system to monitor ICU patients." Research Journal of Pharmacy and Technology 16, no. 3 (2023): 1521-1526. (Scopus Index)
Bhattacharya, Sandhya, and Yogesh Kumar Rathore. "A Review on Restoration of Vision in Glaucoma Through Image Processing Using Machine Learning Techniques." International journal of health sciences II (2022): 8218-8225. (UGC Care)
Rathore, Yogesh Kumar, Rekh Ram Janghel, Saroj Kumar Pandey, Ankit Kumar, Kamred Udham Singh, and Mohd Asif Shah. "A Novel AI‐Based Approach for Better Segmentation of the Fungal and Bacterial Leaf Diseases of Rice Plant." Journal of Sensors 2022, no. 1 (2022): 6871085. Hindawi (SCI indexed)
Janghel, R. R., and Y. K. Rathore. "Deep convolution neural network-based system for early diagnosis of Alzheimer's disease." Irbm 42, no. 4 (2021): 258-267. (Elsevier)(SCI indexed)
Indoria, Priyanka, and Yogesh Kumar Rathore. "A survey: detection and prediction of diabetes using machine learning techniques." International Journal of Engineering Research & Technology (IJERT) 7, no. 3 (2018): 287-291. (Google Scholar Indexed)
Mandal, Naveen, and Yogesh Rathore. "Classification of fungal and bacterial leaf diseases using machine learning techniques." (2018). (Google Scholar Indexed)
Paswan, Sachin, and Yogesh Kumar Rathore. "Detection and classification of blood cancer from microscopic cell images using SVM, KNN, and NN classifier." Int. J. Adv. Res. Ideas Innov. Technol 3 (2017): 315-324. (Google Scholar Indexed)
Khan, Sumaira M. Hayat, and Ayyaz Hussain. "A hybrid approach to content-based image retrieval using computational intelligence techniques." Indian Journal of Science and Technology 9, no. 21 (2016): 1-8. (Google Scholar Indexed)
Khan, Huma, and Yogesh Rathore. "Study and Analysis of Human Gait to Recognize the Person." International Journal of Science and Research (IJSR), India Online, 2026, ISSN: 2319-7064. (Google Scholar Indexed)
George, Disha, and Yogesh Rathore. "Lip Motion-based Alphabet Recognition using Neural Network." International Journal of Advanced Research in Computer Science 5, no. 8 (2014). (Google Scholar Indexed)
George, Disha, and Yogesh Rathore. "LIP MOTION SYNTHESIS USING PRINCIPAL COMPONENT ANALYSIS." International Journal of Innovative Research in Computer and Communication Engineering 1, no. 9 (2013): 2111-2116. (Google Scholar Indexed)
Ali, Syed Zishan, and Yogesh Rathore. "A Comprehensive Study of Major Techniques of Multi-Level Frequent Pattern Mining: A Survey." IJRET, Vol. 2 Issue 4, (2013), 511-515. (Google Scholar Indexed)
Yadav, Preeti, Yogesh Rathore, and Aarti Yadu. "DWT-based copy-move image forgery detection." International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) 1, no. 5 (2012): 56-58. (Google Scholar Indexed)
Agrawal, Preeti, and Yogesh Rathore. "Resource management in cloud computing with increasing dataset." Int. J. Emerg. Technol. Adv. Eng., ISSN (2012): 2250-2459. (Google Scholar Indexed)
Yadav, Preeti, and Yogesh Rathore. "Detection of copy-move forgery of images using discrete wavelet transform." International Journal on Computer Science and Engineering 4, no. 4 (2012): 565. (Google Scholar Indexed)
Khadatkar, Deepak Rao, and Yogesh Rathore. "An Efficient and Useful Hybrid Approach for Detection of Lung Cancer." Research Journal of Engineering and Technology 2, no. 4 (2011): 199-202. (Google Scholar Indexed)
Dewangan, Deepak Kumar, and Yogesh Rathore. "Image Quality estimation of Images using Full Reference and No Reference Method." International Journal of Advanced Research in Computer Science 2, no. 5 (2011). (Google Scholar Indexed)
Agrawal, Preeti, and Yogesh Rathore. "An Approach for Effective Resource Management in Cloud Computing." Int. J. Tech 1, no. 2 (2011): 121-124. (Google Scholar Indexed)
Dewangan, Deepak Kumar, and Yogesh Rathore. "Image quality costing of compressed image using full reference method." International Journal of Technology 1, no. 2 (2011): 68-71. (Google Scholar Indexed)
Rathore, Yogesh, Avinash Dhole, Ramnivas Giri, and Umesh Agrawal. "Colorization of gray scale images using a fully automated approach." The International Journal on Electronics & Communication Technology 1 (2010): 16-19. (Google Scholar Indexed)
Rathore, Yogesh, Avinash Dhole, and Ram Nivas Giri. "An Effective Method for Transferring Color to Gray Scale Image Using Luminance Matching Without Human Intervention." Research Journal of Engineering and Technology 1, no. 1 (2010): 47-49. (Google Scholar Indexed)
Agrawal, Umesh, Yogesh Rathore, and Achin Tripathi. "An Efficient Method for Image Matching and Retrieval." Research Journal of Engineering and Technology 1, no. 2 (2010): 74-78. (Google Scholar Indexed).
Kshatri, Mrs Madhavi; Rathore, Yogesh; A Hybrid Approach for Content-Based Image Retrieval System, (Google Scholar index) .
Rathore Y. K., Pandey S.K. et. al. "Optimizing Rice (Oryza) Leaf Disease Classification with Hybrid Feature Selection and Lightweight Deep Learning Models Journal of Phytopathology. (Under Review) (SCI Indexed)

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

Books:

1. Editor of the book “Applications of Artificial Intelligence in the Healthcare Sector”, published by NOVA in 2023. (Scopus Index)

2. Author of the textbook “Data Warehousing and Mining: Concepts and Techniques”, published by Inence, ISBN 979-8860593046, in 2023.

3. Editor of the book “Sustainable Agriculture Production Using Blockchain Technology”, under production with Wiley. (Scopus Index)

4. Editor of the upcoming book “Supervised and Unsupervised Data Engineering for Multimedia Data”, to be published by Wiley in 2025. (Scopus Index)

5. Editor of the book titled “Smart Agriculture: Harnessing Machine Learning for Crop Management”, published by CRC in 2024. (Scopus Index)

6. Editor of the book titled “Cognitive Connections: Unleashing the Potential of Interactive Technologies”, published by Nova in 2024. (Scopus Index).

7. Editor of book titled "Graph Mining, Practical Uses and Instruments for Exploring Complex Networks, published by Springer, Singapore in 2025.

(Scopus Index)

Book Chapters

1. Swarnkar, Suman Kumar, and Yogesh Kumar Rathore. "Music Genre Classification Using Long Short-Term Memory (LSTM) Networks: Analyzing Audio Spectrograms for Enhanced Multimedia Understanding." In Machine Learning in Multimedia, pp. 74-84. CRC Press, 2025. (Scopus Indexed)

2. Soy, Aakansha, and Yogesh Kumar Rathore. "Enhancing crop yield prediction accuracy through the application of gradient descent optimization algorithms." Smart Agriculture: Harnessing ML for Crop Management 128 (2024).Volume: 2 Issue: 4 (Scopus Indexed)

3. Swarnkar, Suman Kumar, Yogesh Kumar Rathore, and Virendra Kumar Swarnkar. "Machine learning models for early detection of pest infestation in crops: A comparative study." In Smart Agriculture, pp. 147-162. CRC Press, 2024. (Scopus Indexed)

4. Patra, J. P., Manoj Kumar Singh, Yogesh Kumar Rathore, and Deepak Khadatkar. "9 An innovative application using augmented reality to enhance the teaching-learning process in school education." Augmented and Virtual Reality in Social Learning: Technological Impacts and Challenges 3 (2023): 141. (Scopus Indexed).

5. 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).

5. Rathore, Yogesh Kumar, and Rekh Ram Janghel. "Prediction of stage of Alzheimer's disease: Densenet Deep learning model." In Next Generation Healthcare Systems Using Soft Computing Techniques, pp. 105-121. CRC Press, 2022. (Scopus Indexed)

6. Patra, J. P., Gurudatta Verma, Yogesh Kumar Rathore, Alok Kumar Jain, and Sumitra Samal. "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 Scientific Publishing, 2022. (Scopus Indexed)

7. Janghel, Rekh Ram, Satya Prakash Sahu, Yogesh Kumar Rathore, Shraddha Singh, and Urja Pawar. "Application of Deep Learning in Speech Recognition." In Handbook of Research on Deep Learning Innovations and Trends, pp. 59-71. IGI Global, 2019. (Scopus Indexed)

8. Janghel, Rekh Ram, Yogesh Kumar Rathore, and Gautam Tatiparti. "Epileptic seizure detection and classification using machine learning." In Early detection of neurological disorders using machine learning systems, pp. 152-164. IGI Global, 2019. (Scopus Indexed)

Patents:

1. RFID-Based Vehicle Identification System and Access Control in Parking

Published patent (Application No.: 202141000000) filed in 2021 under the National category. The invention focuses on automated vehicle identification and access control using RFID technology.

2. Plant Leaf Disease Detection using Deep Learning and Image Processing Techniques

Published patent (Application No.: 202221000000) filed in 2023 under the National category. The work presents a deep learning-based system for detecting plant leaf diseases through image processing

3. AI-Based Plant Monitoring Device

Co-designed and registered an AI-based plant monitoring device (Design No. 6374109, UK IPO, 2024) that utilizes intelligent sensing for plant health assessment. Registered under Class 10.05 for measuring and testing instruments

4. Smart Garbage Bin with Biogas Generator

Contributed to the registered design of a smart garbage bin integrated with a biogas generator (Design No. 6308402, UK IPO, 2023), aimed at sustainable waste management. Registered under Class 09.09 for refuse containers

5. Augmented Invisibility Cloak

Published patent (Application No.: 202221014350) filed in 2022 under the National category. This work presents an invisible cloak that renders an object transparent by concealing it and displaying the background, effectively hiding the object from view.

STTP/FDP Attended

1. Attended a one-week FDP on “Optimization for Engineering Problems with MATLAB” organized by NITTR, Chandigarh, from 05/12/2022 to 09/12/2022.

2. Attended a one-week FDP on “NEP 2020 Implementation in Higher Education Institutes” organized by NITTR, Chandigarh from 09/05/2022 to 13/05/2022.

3. Attended a one-week FDP on “Outcome-Based Curriculum Design” organized by NITTR, Chandigarh from 05/09/2022 to 09/09/2022.

4. Attended a one-week FDP on “Information Management and Emerging Engineering Department” organized by NITTR, Chandigarh from 20/02/2023 to 24/02/2023.

5. Attended a one-week FDP on “AI/ML and Data Science for Industry 4.0 (Basic Level)” organized by NITTR, Chandigarh from 21/08/2023 to 25/08/2023.

6. Attended a one-week FDP on “Scilab Programming for Scientific Applications” organized by NITTR, Chandigarh, from 11/03/2024 to 15/03/2024.

7. Attended a Faculty Development Program on "Wireless and Mobile Communication", conducted by IIT faculty at NIT Raipur (Remote Center), from 3rd to 7th December 2018.

8. Participated in a one-week Short-Term Training Program (STTP) on "Computational Intelligence and Cloud Computing", organized by the Department of Information Technology, NIT Raipur, from 26th to 30th December 2017.

9. Attended a one-day workshop on "Scientific Writing and Interaction with Experts from Rostock University, Germany", organized by CSVTU, Bhilai on 25th November 2017.

10. Attended a one-week STTP on "Soft Computing Techniques and Robotics", organized by the Department of Information Technology, NIT Raipur, from 4th to 8th September 2017.

11. Attended a one-day seminar on "MATLAB and SIMULINK for Engineering Education", conducted by MathWorks India on 11th March 2013.

12. Participated in a two-day workshop on "Simulation using MATLAB", organized at Bapurao Deshmukh College of Engineering, Sevagram, Wardha (M.H.) on 19th–20th January 2013.

13. Attended a national-level conference on "Data Security and Integrity", held at RITEE, Raipur on 18th February 2010.

14. Attended a national-level conference on "Role of Communication Technology in Society", held at RITEE, Raipur on 16th February 2008.

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).

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