Dr Suman Kumar Swarnkar

Dr. Suman Kumar Swarnkar

(MTech, Ph.D (CSE))

Assistant Professor

Department of Computer Science and Engineering

Shri Shankaracharya Institute of Professional Management and Technology

Raipur, Chhattisgarh, India (492015)

(NAAC A+ Accredited, NBA in CSE & ME, 4star rating in IIC)

(Campus approved by AICTE | Affiliated to Chhattisgarh Swami Vivekananda Technical University)

Email: sumanswarnkar17@gmail.com, drsuman.swarnkar@ssipmt.com

Website: bit.ly/drsumanswarnkar

Membership

IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, CSTA

Introduction (Brief Bios)

Dr. Suman Kumar Swarnkar is an Associate Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India. He holds a Ph.D. in Computer Science and Engineering from Kalinga University, Naya Raipur, and an M.Tech. in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. With professional experience spanning both the software industry and academia, he has supervised several M.Tech. dissertations and is actively engaged in postgraduate research guidance. His research interests include intelligent data analysis, machine learning, soft computing, and nature-inspired computing. Dr. Swarnkar has published extensively in peer-reviewed journals indexed in Scopus and Web of Science, presented at international conferences, and contributed chapters to edited volumes published by Springer and Elsevier. He holds granted patents in India and Australia, with additional applications under review. A lifetime member of professional organizations such as IEEE, IAENG, IFERP, and the Internet Society, he has also participated in numerous faculty development programs, workshops, and specialized training courses. His academic pursuits reflect a strong commitment to advancing research and interdisciplinary innovation in computational science.

Google Scholar, Research Gate, Scopus ID, IEEE Author, Amazon Author, LinkedIn, ORCID ID, SSRN, ResearchID

Some Selected Publications

Rajendra Vasantrao Patil, Vinodpuri Rampuri Gosavi, Govind Mohanlal Poddar, Suman Kumar Swarnkar. "Comparative study of traditional edge detection methods and phase congruency based method" The International Journal of Informatics and Communication Technology (IJ-ICT) 14, no. 3 (2025): 868-880. (Scopus)
Navandar, R. K., V. R. Gosavi, S. K. Swarnkar, R. S. S. Varma, T. B. Patil, and D. G. Bhalke. "Statistical Signal Processing for Radar Systems." Panamerican Mathematical Journal 35, no. 1S (2025): 200-209. (Scopus)
Vinodpuri Rampuri Gosavi, Bhavna Ambudkar, Rajendra V. Patil, Rameshwar Dadarao Chintamani, Aashish G. Jagneet, Suman Kumar Swarnkar. Personalized Drug Therapy Recommendations Based on Doctor's Clinical Descriptions Using AI. Research Journal of Pharmacy and Technology. 2025;18(5):2385-2. doi: 10.52711/0974-360X.2025.00341 (Scopus)
Patil, R., Swarnkar, S. K. ., Bhadane, D. Y. ., Poddar, G. M. ., Patil, M. P. ., & Sonawane, R. C. . (2025). Exploring governance frameworks and decision processes in ‎blockchain-based decentralized autonomous organizations. International Journal of Basic and Applied Sciences, 14(1), 166-180. https://doi.org/10.14419/h0y6dw98 (Scopus)
Yogesh Kumar Rathore, Narendra Dewangan, Suman Kumar Swarnkar. Comprehensive Approaches to Pharmaceutical Marketing: Balancing Innovation and Regulation. Research Journal of Pharmacy and Technology. 2024; 17(11):5480-4. doi: 10.52711/0974-360X.2024.00838 (Scopus)
Suman Kumar Swarnkar. " Unveiling Market Dynamics through Machine Learning: Strategic Insights and Analysis," in International Journal of Intelligent Systems and Applications in Engineering., vol. 12, no. 14s, pp. 388–397, 2024. (Scopus)
Suman Kumar Swarnkar. "Application of Convolutional Neural Networks for Early Detection and Classification of Alzheimer’s disease from MRI Images," in Journal of Electrical Systems, vol. 20, no. 3s, pp. 645–653, 2024. (Scopus)
Suman Kumar Swarnkar. "Random Forest-Based Prediction Models for Assessing Cardiovascular Disease Risk: Integrating Clinical and Genetic Factors," in Journal of Electrical Systems, vol. 20, no. 3s, pp. 663–672, 2024. (Scopus)
Suman Kumar Swarnkar. "Integrating Artificial Intelligence and Data Analytics for Supply Chain Optimization in the Pharmaceutical Industry," in Journal of Electrical Systems, vol. 20, no. 3s, pp. 682–690, 2024. (Scopus)
Suman Kumar Swarnkar, “Enhancing Sentiment Understanding in Social Media Content with Bert Algorithm” Journal of Namibian Studies, Volume 36, Issue S2, pp 1-9 (2023) (Scopus)
Suman Kumar Swarnkar, “Quality Assessment of Food Products Using K-Nearest Neighbors Algorithm” IJFANS International Journal of Food and Nutritional Sciences, Volume 12, Issue 1, pp 1958-1965 (2023) (UGC Care)
Dr. Suman Kumar Swarnkar, Mr. Abhisek Chakraborty, Mr. Arijeet Dutta, Ms. Nachiketa Mohanty, “Potato Leaf Disease Detection and Classification using CNN” European Chemical Bulletin, Volume 20, Issue 12, pp 4147-4151, 2022. (Scopus)
Suman Kumar Swarnkar, “Diabetes Risk Prediction using Support Vector Machines: A Comparative Study” European Chemical Bulletin, Volume 11, Issue 12, pp 1269-1275, 2022. (Scopus)
Agarwal, S., Patra, J. P., & Swarnkar, S. K. (2022). Convolutional neural network architecture based automatic face mask detection. International Journal of Health Sciences, 6(S3), 623–629. https://doi.org/10.53730/ijhs.v6nS3.5401 (Scopus)
Swarnkar, Suman Kumar, et al. "Deep learning techniques for medical image segmentation & classification'." International Journal of Health Sciences 6.S10 (2022): 408-421. (Scopus)
Suman Kumar Swarnkar, “Genomic Markers and Machine Learning for Improving Ovarian Cancer Prognosis” Webology, Volume 18, Issue 6, pp 9079-9086, 2021. (Scopus)
Virendra Kumar Swarnkar, Dr. AshaAmbhaikar, Suman Kumar Swarnkar, “Big Data Security Enhancement Based Intrusion Detection System Using K-Mean Clustering of Decomposited Features” Journal of Information Technology in Industry, 2021. (ESCI)
Suman Kumar Swarnkar, Dr. Asha Ambhaikar, “Optimized Convolution Neural Network (OCNN) for Voice-Based Sign Language Recognition: Optimization & Regularization” Fifth International Conference on Information and Communication Technology, 2020. (Scopus, Springer)
Suman Kumar Swarnkar, Dr. Asha Ambhaikar, “Improved Convolutional Neural Network based Sign Language Recognition” International Journal of Advanced Science and Technology, Volume 27, Issue 1, pp 302-317, 2019. (Scopus)
Suman Kumar Swarnkar, Dr. Asha Ambhaikar, “A Review on Indian Sign Language Recognition” International Journal of Scientific Research and Reviews, Volume 8, Issue 2, pp 3147-3149, 2019. (UGC Journal)
Bindeshwari Chandel , Suman Kumar Swarnkar, “Financial Data Prediction Using Various Data Source", Journal of Xi an Shiyou University, Natural Science Edition (JXSU), ISSN: 1673-064X, Volume.16, Issue 9, pp 279-285, September 2020. (Scopus)
Suman Kumar Swarnkar, Multimodal Biometric Face and Fingerprint Recognition Using APEX Algorithm and Feed Forward Back Propagation, International Journal Of Scientific Progress And Research, Volume 9 Issue 1-2015. ISSN [ONLINE] 2349-4689
Suman Kumar Swarnkar, Multimodal Biometric Face and Fingerprint Recognition Using XOR Configuration, International journal of Computing, Volume 4 Issue 4-OCT2014. ISSN [ONLINE] 2230-9039

Books Chapters

Swarnkar, Suman Kumar, and Rohit R. Dixit. "Enhancing cancer detection and classification with ensemble machine learning approaches." In Artificial Intelligence Revolutionizing Cancer Care, pp. 128-144. CRC Press, 2025. (CRC Pres, Scopus)
Guru, Abhishek, Leelkanth Dewangan, Suman Kumar Swarnkar, Gurpreet Singh Chhabra, and Bhawna Janghel. "The Use of Social Media Data and Natural Language Processing for Early Detection of Parkinson's Disease Symptoms and Public Awareness." In Multimedia Data Processing and Computing, pp. 154-164. CRC Press. [CRC Press]
Sinha, Upasana, J. Durga Prasad Rao, Suman Kumar Swarnkar, and Prashant Kumar Tamrakar. "Advancing Early Cancer Detection with Machine Learning: A Comprehensive Review of Methods and Applications." Multimedia Data Processing and Computing: 165-174. [CRC Press]
Swarnkar, Suman Kumar, and Tien Anh Tran. "A Survey on Enhancement and Restoration of Underwater Image: Challenges, Techniques and Datasets." Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques: 1-15. [CRC Press]
Swarnkar, S.K., Bhushan, B., Tran, T.A., “Deep Learning Algorithms in Healthcare”, Applications of Artificial Intelligence in the Healthcare Sector, 2023, pp. 75–90 [Nova Science, Scopus]

Edited Books

Yogesh Kumar Rathore, Shweta Bansal, Suman Kumar Swarnkar, Vishal Sharma, Saroj Pandey. (2025). Cognitive Connections: Unleashing the Potential of Interactive Technologies. Nova Science Publishers. DOI: https://doi.org/10.52305/AAML7712 [Nova, Scopus]
Riju Bhattacharya, Yogesh Kumar Rathore, Tien Anh Tran, Suman Kumar Swarnkar. (2025). Graph Mining: Practical Uses and Instruments for Exploring Complex Networks (1st ed.). Springer. https://link.springer.com/book/9783031938016, [Springer, Scopus]
Suman Kumar Swarnkar, Yogesh Kumar Rathore, Tien Anh Tran, Harshvardhan Chunawala, Pratikkumar Chunawala. (2025). Transforming Healthcare with Artificial Intelligence: Innovations and Applications (1st ed.). Springer. https://link.springer.com/book/9783031936722 [Springer, Scopus]
Dhaygude, A.D., Kumar Swarnkar, S., Chugh, P., & Rathore, Y.K. (Eds.). (2024). Smart Agriculture: Harnessing Machine Learning for Crop Management (1st ed.). CRC Press. https://doi.org/10.1201/9781003508625 [CRC Press, Scopus]
Kumar Swarnkar, S., Guru, A., Chhabra, G.S., & Devarajan, H.R. (Eds.). (2025). Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare (1st ed.). CRC Press. https://doi.org/10.1201/9781003571339 [CRC Press, Scopus]
Swarnkar, S., Patra, J.P., Tran, T.A., Bhushan, B., & Biswas, S. (Eds.). (2023). Multimedia Data Processing and Computing (1st ed.). CRC Press. https://doi.org/10.1201/9781003391272 [CRC Press, Scopus]
Kumar Swarnkar, S., Sharma, A., Somasekar, J., & Bhushan, B. (Eds.). (2024). Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence (1st ed.). CRC Press. https://doi.org/10.1201/9781003477280 [CRC Press, Scopus]
Dr. Suman Kumar Swarnkar, Dr. Annu Sharma, Dr. J. Somasekar, Dr. Bharat Bhushan, Book Title: “Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence”, Series Title: “Innovations in Multimedia, Virtual Reality and Augmentation”, [CRC Press, Scopus]
Dr. Suman Kumar Swarnkar, Dr. Abhishek Guru, Dr. Gurpreet Singh Chhabra, Harshitha Raghavan Devarajan, Book Title: “Artificial Intelligence in Cancer Diagnosis and Healthcare”, Series Title: “Future Generation Information Systems”, [CRC Press, Scopus]
Amol Dattatray Dhaygude, Dr. Suman Kumar Swarnkar, Dr. Priya Chugh, Yogesh Kumar Rathore , Book Title: “Smart Agriculture: Harnessing Machine Learning for Crop Management”, [CRC Press, Scopus]
Dr. Suman Kumar Swarnkar, Dr. J P Patra, Dr. Tien Anh Tran, Dr. Bharat Bhushan, Dr. Santosh Biswas, Harshitha Raghavan Devarajan, Book Title: “Multimedia Data Processing And Computing”, Series Title: “Innovations in Multimedia, Virtual Reality and Augmentation ems”, [CRC Press, Scopus]
Dr. Suman Kumar Swarnkar, Dr. J P Patra, Dr. Sapna Singh Kshatri, Yogesh Kumar Rathore, Dr. Tien Anh Tran, Book Title: “Supervised and Unsupervised Data Engineering for Multimedia Data”, Willey Scrivener [Scopus]
Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran, Book Title: “Artificial intelligence and Multimedia Data Engineering”, Bentham Science [Scopus]

Copyright

Indian Copyright 11975/2023-CO/L: "Multimodal Neuroimaging For Early Alzheimer’s Detection: A Deep Learning Approach", June 06, 2023.

Patent Detail

UK Design Patent 6366093, "AI-Based Plant Extract Analysing Device" May 22, 2024
UK Design Patent 6335711, "Hydrogen Fuelled E-Bike" Jan 10, 2024
UK Design Patent 6335745, "Respiration Monitoring Device" Jan 10, 2024
India Design Patent 403292-001, "AI-Based Stress Detection Device" Dec 28, 2023.
India Design Patent 403147-001, "Device to Detect Environmental Pollution," Dec 26, 2023.
UK Design Patent 6316108, "AI Based Agricultural Machine For Seeding, Ploughing, And Presticide Spraying" Oct 08, 2023
UK Design Patent 6308402, "Smart Garbage Bin With Biogas Generator" Sep 14, 2023
India Design Patent 393995-001, "Voice-Enabled Shopping Assistant Device" Aug 07, 2023.
India Design Patent 392134-001, "AI-Enabled Mobile Device for Logistic Facility Manangement." Aug 07, 2023.
India Patent Published 202221014350, "Augmented Invisibility Cloak" Mar 16, 2022.
German Patent File 202022102381.6 "Effective Alert System for Former by Observing and Automation of Agricultural Field Location using IOT devices", 2022
India Patent Published 202221059300, "Medical Image Segmentation Using Convolutional Neural Networks With Autoencoder" Oct 17, 2022India Patent Published 202121004801, "Big Data Security Enhancement Based Intrusion Detection System Using K-Mean Clustering of Decomposited Features" Feb 04, 2021.
Australian Patent Grant 2021102602: " IOT based device for social distancing to stop spreading coronavirus", June 16, 2021.
Australian Patent Grant 2021106924: " Smart Refrigerator using IoT and Intelligent Cloud for Life Expedience", 2021.
Australian Patent Grant 2021104997: " Smart Yoga Assistant Mirror using IOT & Computer Vision for Healthy Life", 2021.
Australian Patent Grant 2021104545: " Smart IoT based Third Eye for Protection from Abnormal Activities", 2021.
India Patent Published 202021030006, "optimized convolution neural network (OCNN) for voice-based sign language recognition: optimization & regularization " July 14, 2020.

conference Detail

H. R. Devarajan, S. Balasubramanian, S. Kumar Swarnkar, P. Kumar and V. R. Jallepalli, "Deep Learning for Automated Detection of Lung Cancer from Medical Imaging Data," 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), Raipur, India, 2023, pp. 1-5, doi: 10.1109/ICAIIHI57871.2023.10488962.
A. D. Dhaygude, R. A. Varma, P. Yerpude, S. K. Swarnkar, R. Kumar Jindal and F. Rabbi, "Deep Learning Approaches for Feature Extraction in Big Data Analytics," 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India, 2023, pp. 964-969, doi: 10.1109/UPCON59197.2023.10434607.
T. S. Umamaheswari, A. D. Dhaygude, O. Dewangan, T. Krishnan, P. Yerpude and S. K. Swarnkar, "Predictive Modeling for Disease Progression in Chronic Conditions Using Machine Learning," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 2684-2688, doi: 10.1109/IC3I59117.2023.10397985.
S. K. Swarnkar, L. Dewangan, O. Dewangan, T. M. Prajapati and F. Rabbi, "AI-enabled Crop Health Monitoring and Nutrient Management in Smart Agriculture," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 2679-2683, doi: 10.1109/IC3I59117.2023.10398035.
G. Singh Chhabra, A. Guru, B. J. Rajput, L. Dewangan and S. K. Swarnkar, "Multimodal Neuroimaging for Early Alzheimer's detection: A Deep Learning Approach," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307780.
Tamrakar, P.K., Swarnkar, S.K., Sinha, U., Durga Prasad Rao, J. (2024). Predicting Brain Tumor Survival Using MRI Images and Machine Learning Techniques. In: Nanda, S.J., Yadav, R.P., Gandomi, A.H., Saraswat, M. (eds) Data Science and Applications. ICDSA 2023. Lecture Notes in Networks and Systems, vol 818. Springer, Singapore. https://doi.org/10.1007/978-981-99-7862-5_25
Swarnkar, S.K., Ambhaikar, A., Swarnkar, V.K., Sinha, U. (2022). Optimized Convolution Neural Network (OCNN) for Voice-Based Sign Language Recognition: Optimization and Regularization. In: Joshi, A., Mahmud, M., Ragel, R.G., Thakur, N.V. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 191. Springer, Singapore. https://doi.org/10.1007/978-981-16-0739-4_60

Memberships:

Professional Membership of IEEE [ID - 93272902]
Membership of International Association of Engineers (IAENG) [ID - 288642]
Membership of The Asia Society of Researchers (ASR) [ID - R219093362]
Institute For Engineering Research and Publication (IFERP) [ID - PM57230641]
Member of International Computer Science and Engineering Society (ICSES) [ID - 16434]
Membership of Internet Society [ID-2232974]
Membership of Universal Association of Computer and Electronics Engineers (UACEE) [ID - AM20210611064]
Associate Member of the International Association of Outsourcing Professionals (IAOP) [ID - IAOP-97113]
Associate Member of the International Association of Innovation Professionals (IAOIP) [ID - 5610]
Member of European Alliance for Innovation(EAI)
Member of Computer Science Teachers Association (CSTA), CSTA Alabama, New York, USA: [ID-198358002160]

trainings accomplished

Completed AICTE-CSVTU MoU One Week Joint Teachers Training Program on Recent Advancements in Machine Learning and Artificial Intelligence, from 21st Jan to 27th Jan 2022 from Chhatrapati Shivaji Institute of Technology, Durg.
Completed Faculty Development Program on Teaching and Learning in Higher and Professional Education-the challenges and opportunities", organized by Institute for Engineering Research and publication on 18th April 2022.
Completed Faculty Development Program on Data Science of 2 weeks conducted by IIT Kanpur.
Attended the webinar on the topic "Transformation of Business operations using industry 4.0 technologies" organized by IFERP on 31st October, 2020.
Attended the webinar on the topic "Computing & Signal Processing in IOT Applications" organized by IFERP on 9th October, 2020.
Attended the webinar on the topic "Artificial Intelligence & Machine Learning Using Python" organized by IFERP on 10th October, 2020.
Attended the webinar on the topic "Learning Path to Data Science" organized by IFERP on 26th September, 2020.
Attended the webinar on the topic "Modelling of Biomedical applications using neural network in international short term training program held in india" organized by IFERP on 16th September, 2020.
Attended the webinar on the topic "National Education Policy" organized by IFERP on 13th September, 2020.
Attended the webinar on the topic "Virtual interactiove classroom for teachers and the challenging technologies in post covid - 19 Era" organized by IFERP on 5th June, 2020.
Completed the 2-Weeks comprehensive online Patent Information Course organized by Turnip Innovations.
Completing the 2-Week online patent course by Turnip Innovations form 24 Apr 2021 to 02 May 2021.
Participated in the online national webinar 2021 organized by kalinga university, new Raipur on Patent, Copyright & Trademark.
Extensive hands on training on IBM Rational tools covering Rational Rose 7.0, RAD 7.0 at MicroGenesis TechSoft Pvt. Ltd., Bangalore.
Participated on Advance Level Robotics Workshop on SUMO ROBOT From TRI Techno Solution Pvt. Ltd, Mumbai.
Participated in an Induction training program conducted by NITTTR, Bhopal.
Attended FDP on Entrepreneurship Development sponsored by the department of science & Technology, Govt. of India.
Attended workshop on Digital Design through Arduino organized by IIT Hyderabad.
“RUNNER UP” in State Level Technical Robotic Competition Held on Bhilai Institute Of Technology, Durg Chhattisgarh.

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