faculty-profile

Dr. Suresh Kumar Mandala

info

Assistant Professor

Computer Science And Artificial Intelligence

Sunrise University, Alwar

14 Years

Machine Learning

Wireless Sensor Networks and Machine Learning

Mail: m.suresh@sru.edu.in

Educational
Qualifications
(From Highest)

2017

Ph.D from Sunrise University, Alwar

2012

M.Tech from Jawaharlal Nehru Technological University Hyderabad and MCA from Kakatiya University, Warangal

2008

B.Com from Kakatiya University, Warangal

Professional
Experience

2023

Assistant Professor at SR University, from 2023-07-13 to Till Date.

2009

Assistant Professor at Vaagdevi college of engineering, from 2009-07-01 to 2023-07-12.

Student
Supervision

12

PG

20

UG

Key Publications

Shaik, R., Mandala, S. K., Aluri, Y. K., Kumar, V. P., Supriya, P. L., & Gurrapu, N. (2025). Wireless energy harvesting (WEH) and spectrum sharing in cognitive radio networks. 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI).

Pavani, M., & Mandala, S. K. (2025). InnoDerm: An innovative deep-imaging approach for skin lesion detection. 2025 International Conference on Multi-Agent Systems for Collaborative Learning (MASCL).

Scientific, L. L. (2025). LEAFDISEASENET: A novel convolutional neural network architecture for detecting leaf diseases in agricultural crops. Journal of Theoretical and Applied Information Technology, 103(5).

Pavani, M., & Mandala, S. (2025). SkinNet++: A lightweight ensemble convolutional layers for real-time skin cancer detection. 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI).

Elangbam, B., & Mandala, S. (2025). Image processing and machine learning approaches for skin diseases diagnosis: Trends, challenges, and future directions. 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI).

Srikanth, R., & Mandala, S. K. (2025). Trends in image forensic detection: A scientometric analysis of research contributions. AIP Conference Proceedings, 3342(1), 030051.

Subrahmanyam, V., Bhaskar, T., Reddy, C. S., Suresh, M., & Rao, V. C. S. (2023). Smart university application: Internet of Things (IoT)-based smart and random method to collect waste management system in a university campus by using ant colony optimization. International Conference on Computer & Communication Technologies, 223–231.

Mandala, S. K., Swamy, G. R., Aruna, M., Marepalli, R., Sandeep, K. S., & Pathuri, S. K. (2024). A novel classifier for detecting oropharyngeal cancer using machine learning techniques. 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS).

Shariff, V., Kumar, N. V. S. P., Ashokkumar, N., Kumar, S., & Mandala, M. A. (2025). SGB-IDS: A swarm gradient boosting intrusion detection system using hybrid feature selection for enhanced network security. Journal of Theoretical and Applied Information Technology, 103(10).

Subrahmanyam, V., Nagesh, O. S., Reddy, Y. V., Rao, A. P., Suresh, M., & Neelima, G. (2024). Internet of Things (IoT) enabled intelligent traffic control management system by hybrid swarm intelligence (SI) algorithm. 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management (INTCON).

Bethu, S., Trupthi, M., Mandala, S. K., Karimunnisa, S., & Banu, A. (2024). AI-IoT enabled surveillance security: DeepFake detection and person re-identification strategies. International Journal of Advanced Computer Science & Applications, 15(7).

Mruthyunjaya, M., & Mandala, S. K. (2024). A brain tumor identification using convolution neural network and fully convolution neural network. MATEC Web of Conferences, 392, 01130.

Subrahmanyam, V., Janaki, V., Rao, P. S., Gurrapu, N., Mandala, S. K., & Roshan, R. (2024). Internet of Things (IoT) based data analysis for feature selection by hybrid swarm intelligence (SI) algorithm. 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management (INTCON).

Tiwari, R., Singh, S., Shanmugaraj, G., Mandala, S. K., Deepika, C. L. N., Soni, B. P., et al. (2024). Leveraging advanced machine learning methods to enhance multilevel fusion score level computations. Fusion: Practice and Applications, 14(2), 76–88.

Suresh Kumar Mandala.Neelima Gurrapu, “Advanced machine learning and data science based approach for prediction of cancer using dynamic clustering”, Materials Today: Proceedings,2021,ISSN 2214-7853,https://doi.org/10.1016/j.matpr.2021.01.456.

Suresh Kumar Mandala,Sanjay Pachouri, “Analytical Study for Intrusion Detection System to Detect Cyber Attack”, International Journal of Advances in Arts, Sciences and Engineering(ijoaase.com), Volume 4 Issue 9,Sep 2016, [ISSN. 2320-6144 (Online)]

Suresh Kumar Mandala, Neelima Gurrapu, “Machine Learning Method That Integrates Domain Name Understanding Throughout Model Selection”, Airo International Research Journal, Volume VII,March 2016[ISSN: 2320-3714].

Suresh Kumar Mandala,Sanjay Pachouri, “A Reviewed Study on Financial Cyber Crime and Frauds”, International Journal of Advances in Arts, Sciences and Engineering(ijoaase.com), Volume 4 Issue 9,Sep 2016, [ISSN. 2320-6144 (Online)]

Syeda Sobia Farees , M. Suresh Kumar, “A Novel Approach for Protecting Location Information in Geosocial Applications “, IJIEMR, Vol 1, Issue 2, November2016 [ISSN:2456-5083]

Thota Mounika, Mandala Suresh kumar,“Document Proximity: Keyword Query Suggestion Based On User Location”,International Journal of Research,Volume 04, Issue 14, November 2017, [e-ISSN: 2348-6848 ,p-ISSN: 2348-795X].

Suresh Kumar Mandala,Sanjay Pachouri,“performance evaluation of multi stage attacks prediction”,Journal of Advanced Research in Dynamical and Control Systems, Vol. 9, September 2017, JARDCS Special Issue On Engineering Technology.

Suresh Kumar Mandala,Mahipal Reddy Pulyala and Sanjay Pachouri, “Being a Smart Sapien with Information Centric Networking and Cloud Computing”, International Journal of Pure and Applied Mathematics,Volume 117, No. 21, 2017, 243-255,[ISSN: 1311-8080 (printed version)]

Suresh Kumar Mandala, Neelima Gurrapu, Mahipal Reddy Pulyala, “ A Study on the Development of Machine Learing in Health Analysis”, Indian Journal of Public Health Research & Development, volume 9, Number 12, December 2018, [ISSN-0976-0245(Print)-ISSN-0976-5506 (Electronic)]

Venkateshwarlu Velde, Suresh Kumar Mandala, Naresh Vurukonda, D. Ramesh,”Enterprise based data deployment inference methods in cloud infrastructure”,Materials Today: Proceedings,2021,ISSN 2214-7853,https://doi.org/10.1016/j.matpr.2020.10.1012.

Research Projects / Patents

Digital Flower pot

The claimed portion of the design of the DIGITAL FLOWER POT consists of three bifurcation in its body where at the base it has a portion to store fertilizer and a portion to store water. Pores have been provided to secret the fertilizer and to secret water into the fertile mud which will be filled in the upper portion of the Flower pot along with the seed or plant. The plant is continuously monitored using image sensors attached at the top edge of the Flower

Enquiry