Assistant Professor

Dr Srinivas Arukonda

Department of Computer Science and Engineering

Interests

  1. Computer Vision
  2. Deep Learning
  3. Ensemble Learning and Optimization

Faculty Details

Education

2007

Jawaharlal Nehru Technological University
Campus, Kakinada
B. Tech

2010

ABV-Indian Institute of Information Technology and Management,
Gwalior (IIITM Gwalior)
M. Tech

2024

National Institute of Technology (NIT),
Warangal
Ph.D.

Experience

  • Dec 2024 to till date – Assistant Professor, Department of Computer Science and Engineering, SRM University-AP, Amaravati, Andhra Pradesh.
  • Jan 2024 to Dec 2024 – Assistant Professor Grade-1, School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh.
  • Oct 2019 to Dec 2020 – Assistant Professor, Department of Computer Science and Engineering, KCC Institute of Technology and Management, Greater Noida, Uttar Pradesh.
  • Sep 2014 to Sep 2019 – Assistant Professor, Department of Computer Science and Engineering, Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh.
  • Sep 2012 to Aug 2014 – Assistant Professor, Department of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh.
  • July 2010 to Aug 2012 – Assistant Professor, Department of Computer Science and Engineering, Manav Rachna International University, Faridabad, Haryana.

Research Interest

  • Multi-level Feature Attention Network for medical image segmentation.
  • Enhanced deepfake detection and image captioning.
  • Hybrid multiple instance learning network for weakly supervised medical image classification and localization.
  • Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI.
  • Enhancing disease diagnosis accuracy and diversity through various meta heuristic optimized ensemble learning.

Awards & Fellowships

  • 2008-2010 – MHRD fellowship – ABV-Indian Institute of Information Technology and Management Gwalior.
  • 2021-2023 – MHRD fellowship – National Institute of Technology Warangal

Memberships

  • Life member of Indian Society for Technical Education (ISTE)
  • Professional member of ACM.

Publications

Journals

  • 1.Enhancing Disease Diagnosis Accuracy and Diversity Through BA-TLBO Optimized Ensemble Learning - S. Arukonda, R. Cheruku, V. Boddu Biomedical Signal Processing and Control, Vol. 96, 106507, 2024. (Q1, IF 4.9, SCIE).
  • 2. Nested Genetic Algorithm-Based Classifier Selection and Placement in Multi-Level Ensemble Framework for Effective Disease Diagnosis - S. Arukonda, R. Cheruku Computer Methods in Biomechanics and Biomedical Engineering, pp. 1–24, 2023. (SCIE).
  • 3.A Novel Stacking Framework with PSO Optimized SVM for Effective Disease Classification - S. Arukonda, R. Cheruku Journal of Intelligent & Fuzzy Systems, Vol. 45(3), pp. 4105–4123, 2023. (SCIE).
  • 4.An Efficient Hybrid Methodology for Detection of Cancer-Causing Gene Using CSC for Microarray Data - A. Sampathkumar, R. Rastogi, S. Arukonda, A. Shankar, S. Kautish, M. Sivaram Journal of Ambient Intelligence and Humanized Computing, Vol. 11, pp. 4743–4751.

Conferences

  • 1. A Novel CNN-LSTM Approach for Robust Deepfake Detection - S. Arukonda, N.K. Sagar Proceedings of the International Conference on Machine Learning and Data Engineering (ICMLDE-2024), UPES, Dehradun, India, Nov. 28–29, 2024.
  • 2.AgriVision-CNN: Advancing Precision in Vegetable Classification with Deep Learning Across 15 Varieties - S. Arukonda, S. Voddelli Proceedings of the International Conference on Machine Learning and Data Engineering (ICMLDE-2024), UPES, Dehradun, India, Nov. 28–29, 2024.
  • 3. WebAuthML: A Web-Based Approach for Banknote Authentication Using Machine Learning and Image Processing - S. Arukonda, S. Voddelli Proceedings of IEEE INDICON 2024, IIT Kharagpur, India, Dec. 19–21, 2024.
  • 4. Enhanced Disease Diagnosis through Adaptive Ensemble Optimization and Hybrid Learning - S. Arukonda, S. Voddelli Proceedings of IEEE INDICON 2024, IIT Kharagpur, India, Dec. 19–21, 2024.
  • 5. A TLBO Based Bagging Approach for Effective Disease Diagnosis - S. Arukonda, R. Cheruku Proceedings of the 7th Joint International Conference on Data Science & Management of Data (ACM IKDD CODS-COMAD 2024), IIIT Bangalore, India, Jan. 4–7, 2024.
  • 6.A Novel Stacking Framework with GWO-Based Feature Selection for Effective Disease Diagnosis - S. Arukonda, R. Cheruku Proceedings of the IEEE 20th India Council International Conference (INDICON 2023), CMR Hyderabad, India, Dec. 14–17, 2023, pp. 120–125.
  • 7.Enhancing Ensemble Models through Diversity Using K-Means for Effective Diabetes Classification - J. Dey, R. Cheruku, S. Arukonda, I. Kavati, B. Vijayasree, P. Kodali Proceedings of the IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT 2024), IISc Bangalore, India, July 12–14, 2024.
  • 8.Investigation of Lung Cancer Detection Using 3D Convolutional Deep Neural Network - S. Arukonda, S. Sountharrajan Proceedings of the 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN 2020), GCET Greater Noida, India.

Book Chapters

  • 1. Diversified Ensemble Learning: Integrating Bagging and Teaching–Learning-Based Optimization with a Pairwise Dissimilarity Measure - S. Arukonda, R. Cheruku Advanced Engineering Optimization Through Intelligent Techniques, Springer, pp. 105–114, 2024. https://doi.org/10.1007/978-981-97-4654-5
  • 2. Dynamic Weighted Ensemble Approach with Entropy-Based Diversity Measure for Disease Diagnosis Using TLBO Optimization - S. Arukonda, R. Cheruku Decision Sciences in Bioinformatics: Theory and Practice, CRC Press, Taylor & Francis Group, 2024.
  • 3. Hybrid Optimization of Bag Composition for Disease Diagnosis: Integrating Teaching-Learning-Based Optimization with Genetic Algorithm - S. Arukonda, R. Cheruku Advancing Healthcare Through Decision Intelligence, Elsevier, 2024.

Contact Details

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