Ph.D.: Deep Learning, SRM Institute of Science and Technology, Kattankulattur, Main Campus-Chennai, 2024
PG: M.Tech (CST), Andhra University, Vizag, 2014
UG: B.Tech (CSE), Jawaharlal Nehru Technical University, Kakinada, 2011
Teaching Experience: 12 Years (including R&D experience)
Research Experience: 01 year
Industry Experience: 01 year (.Net Developer)
Contact Number: +91 9666266160
BVRITN Employee ID: 7412
JNTUH Registration ID: 2776-150419-124357
AICTE Registration ID: 1-2633299939
- Deep Learning
- Speech, Vision and AI
- Quantum Machine Learning (QML) with Healthcare
- Life Member of ISTE- LM-110770
- Life Member of IAENG-166579
- Life Member of CSTA-
- Member of CSI – 1161594
- Acted as a Keynote Speaker for a 6 Day Faculty Development Programme on Computer Vision and its Applications (FDP-CVA 2022) held on August 22 – 27, 2022 at SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
- Acted as Advisory Board Memberforthe1st International Conference on Holistic Approaches to Achieve Sustainable Development Goals with Artificial Intelligence (ICASDGAI-2025) on 14th-15th , January, 2025- UIT, Uttaranchal University Dehradun, Uttarakhand.
- Worked as an Associate Professor and H.O.D for Department of CSE (AI & ML) at St.Martin’s Engineering College, Dhulapally during Dec 2024 to May 2025.
- Worked as an Assistant H.O.D for Department of CSE at KL University, Hyderabad, Bachupally Campus during Jan 2024 to Dec 2024.
- Under my supervision, 2 Ph.D Research Scholars had previously worked in the Department of CSE at KL University, Hyderabad, Bachupally Campus, during the period of May 2024 to Dec 2024.
- Certified as AWS ACADEMY EDUCATOR and Trained 65 students under my supervision as an AWS Academy Educator.
- Red Hat Certified System Administrator exam — EX200 and Completed Training and Currently 120 students are training for Redhat Certification Exam.
- Cherukuvada, S., Chaitanya, R. K., Janardhan, M., Yara, S., Shareef, S. K., Harshini, M., & Kocherla, R. (2025). A novel ensemble deep learning framework with spatial attention and high-order pooling for COPD detection. Discover Computing, 28(1), 197. (SCI).
- Srikanth Cherukuvada, “Precision Agriculture 2.0: A Scalable Hybrid Deep Learning Approach with Black-Box Optimization for Crop Productivity Prediction,” International Journal of Intelligent Engineering and Systems, vol. 18, no. 4, pp. 50–, 2025 (SCOPUS)
- Srikanth Cherukuvada, Kayalvizhi, R., “Feature Selection with Deep Belief Network for Epileptic Seizure Detection on EEG Signals,” Computers, Materials and Continua, 2023, 75(2), pp. 4101–4118. (IF – 3.8, SNIP – 1.080) (SCI).
- Srikanth Cherukuvada, Kayalvizhi, R., “Modified Gorilla Troops Optimization with Deep Learning Based Epileptic Seizure Prediction Model on EEG Signals,” Traitement du Signal, 2023, 40(2), pp. 589–599. (IF 2.0, SNIP – 0.871) (SCI).
- Srikanth Cherukuvada, Kayalvizhi, R., “Automated Epileptic Seizure Detection using Improved Crystal Structure Algorithm with Stacked Autoencoder,” International Journal of Advanced Computer Science and Applications, vol.14, No.6, pp-479-486, 2023. (IF – 0.9, SNIP-0.512) (E-SCI).
- Alshmrany, Sami, Syed Immamul Ansarullah, Syed Mohsin Saif, Srikanth Cherukuvada, Sudhanshu Maurya, Anurag Sinha, and Shubhang Mishra. “Web Case Points for Early Web Size Prediction.” SN Computer Science 6, no. 7 (2025): 790. (SCOPUS)
- Srikanth Cherukuvada, ”Design and analysis of amplitude and divergence scheme for solving broadcast storm issues.” In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 2116-2118. IEEE, 2016.-SCI Indexed Conference. (SCI).
- Srikanth Cherukuvada, “Smart Waste Management System Leveraging Deep Learning Techniques to Classify Waste Types for Optimal Recycling and Disposal”, International Journal of Imaging Science and Engineering (IJISE), Volume 20, Issue 1, Apr 2025. (UGC-CARE)
- Srikanth Cherukuvada, “Deep Learning Based Intelligent Document Classifier for Online Social Networks”, International Journal of Biomedical and Advance Research (IJBAR), Volume 15, Issue 2, Apr 2025. (UGC-CARE)
- Srikanth Cherukuvada, “A Survey on Research Challenges in Wireless Sensor Network”, International Journal of Computer Science Trends and Technology (IJCST), Volume 8, Issue 4, Jul-Aug 2020. (UGC-CARE)
- Gupta, R., Sinha, A., Pandey, S. K., Cherukuvada, S., Prasad, B. S., & Sharma, A. (2025, July). Leveraging Ensemble Learning for Reliable Crop Yield Prediction. In 2025 International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3) (pp. 1-5). IEEE.
- Cherukuvada, S., & Kayalvizhi, R. (2022, January). A review on EEG based epileptic seizures detection using deep learning techniques. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)(pp. 966-973). IEEE.
- Privietha, P., Sunil, D. T. K., Thangaraj, K., Sharma, V., Cherukuvada, S., & Koilraj, T. (2025, May). Artificial Intelligence Augmented Public Health Platforms for Community Oriented Predictive Healthcare Analytics and Telemedicine Solutions. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 1228-1240). Atlantis Press.
- Sasikumar, P., Cherukuvada, S., Balmurugan, P., Anand, P. V., Brindasri, S., & Nareshkumar, R. (2024, May). An Efficient Brain tumor classification using CNN and transfer learning. In 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1-5). IEEE.
- Abdul, A. M., Cherukuvada, S., Soujanya, A., Sridevi, G., & Umar, S. (2017). Watermarking technology in QR code with various attacks. In Soft Computing: Theories and Applications: Proceedings of SoCTA 2016, Volume 2 (pp. 147-156). Singapore: Springer Singapore.
- Cherukuvada, S., & Kayalvizhi, R. (2023, August). A Hybrid LSTM-DBN Approach for Automatic Epileptic Seizure Detection compared with Normal Human Activity using EEG Signals. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 970-976). IEEE.
- Chinnasamy, P., Rani, R. M., Ayyasamy, R. K., Sujithra, L. R., Mounika, T., & Cherukuvada, S. (2025). Transforming Education With AI-Driven Intelligent Tutoring Systems. In Driving Quality Education Through AI and Data Science (pp. 239-258). IGI Global Scientific Publishing.
- Soujanya, A., Cherukuvada, S., Murugan, V., Ramya, S., Agalya, K., & Gayathri, S. (2023, December). An Efficient Classification of Cassava Leaf Disease using VGG 16. In 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (pp. 1-5). IEEE.
- Venkatarao, J., Chakravarthy, V. D., Ramya, S., Prasad, V. S., Cherukuvada, S., & Soujanya, A. (2023, August). A Machine Learning Method for Detecting Behavior-Based Malware. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 410-414). IEEE.
- Krishnaraj, N., & Cherukuvada, S. (2018). Virtual ınteraction. International Journal of Information and Computing Science, 5(9), 335-355.
- Shankar, D., Harsha, I. S., Madhuri, P. S., Naidu, J. J., Madhuri, P. K., & Cherukuvada, S. (2023, August). Glaucoma stage classification using image empirical mode decomposition (IEMD) and deep learning from fundus images. In International Conference on Cognitive Computing and Cyber Physical Systems (pp. 385-402). Cham: Springer Nature Switzerland.
- Cherukuvada, S., Krishnaraj, N., & Bellam, K. (2023, April). Federated Learning with Internet of Things for Data Privacy and Security. In 2023 International Conference on Networking and Communications (ICNWC) (pp. 1-7). IEEE.
- Cherukuvada, S. (2020). A Survey on Research Challenges in Wireless Sensor Network. Department of Computer Science and Engineering, Sasi Institute of Technology & Engineering, Tadepalligudem, Andhrapradesh, India.
- Barai, D. K., Cherukuvada, S., Sridevi, G., Srikanth, R., & Umar, S. (2016, March). Design and analysis of amplitude and divergence scheme for solving broadcast storm issues. In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (pp. 2116-2118). IEEE.
- Nareshkumar, K. Nimala, M. K. M. Faizal, P. Sasikumar, S. Karthigeyan and S. Cherukuvada, “Deep Learning for Emoji Generation: From Faces and Gestures to Digital Emotion,” 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW), Chennai, India, 2024, pp. 1-6, doi: 10.1109/ICIETDW61607.2024.10939614.
- Cherukuvada, S., & Kayalvizhi, R. (2023). Automated Epileptic Seizure Detection using Improved Crystal Structure Algorithm with Stacked Autoencoder. International Journal of Advanced Computer Science and Applications, 14(6).
- Cherukuvada, S., Bellam, K., Soujanya, A., & Krishnaraj, N. (2020). Artificial Intelligence-Based Textual Cyberbullying Detection for Twitter Data Analysis in Cloud-Based Internet of Things. In Artificial Intelligence Techniques in IoT Sensor Networks(pp. 151-166). Chapman and Hall/CRC.
Design Grants:
- Srikanth Cherukuvada Published a Design Grant on : “Smart Car Interior with AI-based Eye Tracking and Drowsiness Detection,” Design No. 451683-001, published on 17-03-2025.
- Srikanth Cherukuvada Published a Design Grant on : “AI based Device for HR Operations,” Design No. 444409-001, published on 16-01-2025.
- Srikanth Cherukuvada Published a Design Grant on : “AI Based Device for Refining Datasets of Trained AI Model,” Design No. 428181-001, Application No. 202441040828A, published on 26-08-2024.
- Srikanth Cherukuvada Published a Design Grant on : “IoT Based Heart Health Monitoring and Early Disease Detection Device,” Design No. 418255-001, published on 28-05-2024.
Utility Patents published:
- Srikanth Cherukuvada Published a Utility Patent on : “Adaptive Machine Learning Framework for Personalized Content Recommendation,” Application No. 202441040828, published on 07-06-2024.
- Srikanth Cherukuvada Published a Utility Patent on : “Innovative Biotechnological Methods for Enhanced Agricultural Productivity Using Machine Learning and Data Analysis,” Application No. 202411061196A, published on 30-08-2024.
- Srikanth Cherukuvada Published a Utility Patent on : “Optimized Quantum Computing Architecture for Complex Optimization Problems,” Application No. 202441044532A, published on 21-06-2024.
Patent Published
- Srikanth Cherukuvada Published a Patent on : “AI for the Heart Multi-Class ECG Ailment Classification Using Cutting-Edge Machine Learning”, Application No. 202541007283A, published on 07-02-2025.
- Srikanth Cherukuvada Published a Patent on : “IoT Based Epileptic Seizure Detection, ”Application No. 202241049013A, published on 02-09-2022.
- Certified by IIT-ROPAR for completion of Elite Certificate of NPTEL course “Deep Learning”, October 2022.
- Certified by IIIT-Madras for completion of Elite Certificate of NPTEL course “Computer Networks and Internet Protocols”, June 2020.
- Certified by IIIT-Madras for completion of Elite Certificate of NPTEL course “Internet of Things”, September 2018.
- Certified by IIIT-Madras for completion successful completion of NPTEL course “Database Management System”, May 2018.
- Certified by CISCO Systems, Inc for completion of CCNA Routing and Switching held at Institute of Aeronautical Engineering, Jan 2017.
- Participated in the Train-the-Trainer Program on “Android development with kotlin” certified by google, from August 10 to 12 August, 2020 conducted by JNTUK – Kakinada.
- Participated and successfully completed the online workshop on Universal Human Values on the theme “Inculcating Universal Human Values in Technical Education” during 25 to 29 April, 2020 as organized by All India Council for Technical Education (AICTE).
- Participated in ISTE approved short term training program on “Research Workshop” by IEEE Young Professionals held at IIIT-H Hyderabad from 26th August to 27th August 2017. Attended the AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “AI-Natural Language Processing” at University College of Engineering Kakinada from 29th November to 03rd December 2021.
- Attended the AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “Exploring Machine Learning and Deep Learning Algorithms for Natural Language Processing (NLP) Applications” at Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology from 22nd to 26th November 2021.
- Participated in Faculty Development Program on “LaTeX” conducted by Gopalan College of Engineering and Management in association with IIT Bombay-Spoken Tutorial during 14th to 30th April 2020.
- Participated in Faculty Development Program on “Designing Assessment tools under outcome-based Education” by NITTTR Kolkata held in Sasi Institute of Technology & Engineering from 29th April to 3rd March 2019.
- Organized ACM-Women Student Chapter events at Sasi Institute of Technology (2018-2020).
- Conducted a session for B.Tech students on “How to Write an IEEE Conference Paper and Submit It to Various Conferences Using Research Tools”, aligned with my research timeline.
- Given a technical talk to my Ph.D Full time-Research Scholars on “How Productivity Tools are Ruining your PhD and Research Tips”.
- Delivered valuable session to Research Scholars on “How to write a research paper through Latex and Overleaf”.
- Train-the-Trainer Program on Android Development with Kotlin, certified by Google, August 2020, JNTUK.
- Workshop on “Universal Human Values in Technical Education,” organized by AICTE, April 2020.
- ISTE-approved short-term program on Research Workshop by IEEE Young Professionals, IIIT-H Hyderabad, 2017.