Publications

Publications in Journals

1.  Balam, Venkata Phanikrishna ”Automated EEG Signal Processing: A Comprehensive Investigation into Preprocessing Techniques and Sub-Band Extraction for Enhanced Brain-Computer Interface Applications”. Journal of Neuroscience Methods, 424, 2025, pp:1-20. DoI: https://doi.org/10.1016/j.jneumeth.2025.110561 ; (Publisher : Elsevier, Published data: 04-Sep-2025, ISSN: 0165-0270, IF: 2.390, Indexed: SCI, Citations: 2, Quartiles: Q2)

2.  Balam, Venkata Phanikrishna. "Systematic Review of Single-Channel EEG-Based Drowsiness Detection Methods." IEEE Transactions on Intelligent Transportation Systems 25(11) (2024): 15210-15228. DoI: https://doi.org/10.1109/TITS.2024.3442249 (Publisher: IEEE Transaction, Published data: 03-Sept-2024, ISSN: 1524-9050,  IF: 7.9, Indexed in: SCI, Citations: 15, Quartiles: Q1)

3.  Balam, Venkata Phanikrishna, and Suchismitha Chinara. "Statistical Channel Selection Method for Detecting Drowsiness Through Single-Channel EEG-Based BCI System." IEEE Transactions on Instrumentation and Measurement 70,  1-9. DoI: https://doi.org/10.1109/TIM.2021.3094619  (Publisher: IEEE Transaction, Published data: 05-July-2021, ISSN: 0018-9456,  IF: 5.6, Indexed in: SCI, Citations: 34, Quartiles: Q1)

4.  Balam, Venkata Phanikrishna, and Suchismitha Chinara. "Development of single-channel electroencephalography signal analysis model for real-time drowsiness detection." Physical and Engineering Sciences in Medicine 44(3): (2021): 713–726. DoI: https://doi.org/10.1007/s13246-021-01020-3  (Publisher : Springer, Published data: 31-May-2021, ISSN: 2662-4737, IF: 2.4, Indexed in: SCI, Citations: 14 Quartiles: Q2)

5. Venkata Phanikrishna, B., Jaya Prakash, A., & Suchismitha, C. (2023). Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signal. IETE Journal of Research 69(6), 3104-3119.  DoI: https://doi.org/10.1080/03772063.2021.1913070   (Publisher : Taylor & Francis, Published Online: 05-May-2021, Published Print: 18-August-2023, ISSN: 0377-2063, IF: 1.3, Indexed in  SCI, Citations: 28, Quartiles: Q3)

6.  Balam, Venkata Phanikrishna, Venkata Udaya Sameer, and Suchismitha Chinara. "Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram." IET Intelligent Transport Systems 15, no. 4 (2021): 514-524, DoI: https://doi.org/10.1049/itr2.12041  (Publisher : Wiley, Published data: 23-Feb-2021, ISSN: 1751-9578, IF: 2.496, Indexed in: SCI, Citations: 65, Quartiles: Q1)

7. Venkata Phanikrishna B & Suchismita Chinara. Automatic Classification Methods for Detecting Drowsiness using Wavelet Packet Transform extracted time-domain features from Single-channel EEG Signal. Journal of Neuroscience Methods, 347, 2020.  PP: 1-15 DoI: https://doi.org/10.1016/j.jneumeth.2020.108927 ; (Publisher : Elsevier, Published data: 14-Sep-2020, ISSN: 0165-0270, IF: 2.3, Indexed in  SCI, Citations: 121, Quartiles: Q2)

8. B, Raviteja and Mahapatra, S Sankar and Singh, M Ranjan and Balusa, Bhanu Chandar and S, Purusotham and Balam, Venkata Phanikrishna. Improved TLBO and JAYA algorithms to solve new fuzzy flexible job-shop scheduling problems. Journal of Industrial Engineering International, 18, 102-114, 2023.  DoI: https://doi.org/10.30495/jiei.2023.1935150.1142 ; https://sanad.iau.ir/Journal/jiei/Article/1039585   (Publisher : Islamic Azad University, South Tehran Branch, Published data: 06-Mar-2023, ISSN: 1735-5702, Indexed in  SCOPUS, citation: 3)

9.  Venkata phanikrishna B and Srinivasarao “A Novel Technique for Creative Problem-Solving by using Q-learning and Association algorithm” International Journal of Research in Computer and Communication Technology, Vol 3, Issue 8, August 2014.

Publications in Book Chapters

1. Venkata Phanikrishna, B., Chinara, S. (2022). Analysis of EEG Signal for Drowsy Detection: A Machine Learning Approach. In: Chakraverty, S. (eds) Soft Computing in Interdisciplinary Sciences. Studies in Computational Intelligence, vol 988, pp 147–164. Springer, Singapore. https://doi.org/10.1007/978-981-16-4713-0_7  (Publisher : Springer Published data: 02-Nov-2021, ISBN: 978-981-16-4713-0 Citations: 5, Quartiles: Q4)

2. Venkata Phanikrishna Balam & Sujay Kumar Reddy M (2026), Advancements in electrocardiography-based detection of obstructive sleep apnea: a deep learning approach. In: Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches (pp 239-248). Elsevier, Netherlands. https://doi.org/10.1016/B978-0-443-33082-7.00031-0   (Publisher : Elsevier Published data: 18-Feb-2026, ISBN: 978-0-443-33082-7 Citations: )

3. Balam Venkata Phanikrishna, and Salonikumari Manager Sah. "Drone-Based Human Activity Classification Using Quantum Machine Learning for Smart City Security Applications: QRC-Based HAR." Securing Smart Cities With Quantum-Enhanced Deep Learning, IGI Global Scientific Publishing, 2027, pp. 395-424. https://doi.org/10.4018/979-8-3373-7488-8.ch013 (Publisher : IGI Global Scientific Publishing, Country:United States (Hershey, Pennsylvania, USA);  Published data: 2027, ISBN: 979-8-3373-7488-8 Citations: )

Publications in Conferences

3. 1. Venkata Phanikrishna B & Suchismita Chinara. Time Domain Parameters as a feature for single-channel EEG-based drowsiness detection method. 2020 SCEECS, IEEE, MANIT, Bhopal, India, Feb. 22-23, 2020. DOI: https://doi.org/10.1109/SCEECS48394.2020.61 (Publisher : IEEE; Published data: 07-May-2020; ISSN: 2688-0288; ISBN:978-1-7281-4862-5 Citations: 19)

3. 2.  Venkata phanikrishna B., Suchismita Chinara., & Mahasweta Sarkar.(2018). Drowsiness detection by analysis of EEG signal with the help of Machine Learning. ADCOM-2018, Advanced Computing and Communications Society (ACCS), IIIT, Bangalore, India, Sep. 21-23, 2018. Available at: https://accsindia.org/adcom-2018-conference-proceedings/   (Publisher: Advanced Computing and Communications Society (ACCS); Published data: 27-Oct-2018; ISBN 978-93-5321-421-0 Citations: 5)

3. 3.   S. Solanki, V. Phanikrishna, M. Hirani and P. Shah. Dynamic Risk Stratification in ICU Sepsis: A Deep Reinforcement Learning Approach Using Synthetic Data. 2025 IEEE International Conference on Recent Advances in Computing and Systems (REACS), Gwalior, India, Date of Conference: 19-20 December 2025, pp. 1-4. DOI: https://doi.org/10.1109/REACS67479.2025.11413339  (Publisher : IEEE; Published data: 04 March 2026; ISBN: 979-8-3315-4927-5 Citations:)

3. 4.  B V Phanikrishna And K Surya Ram Prasad, A Novel Framework for Privacy Conserving Data Publishing and Handling High Dimensional , Two day National Conference on Advanced Trends and Challenges in Computer Science and Applications, Organized by: Shree Vishnu Engineering College for Women, Bhimavaram A.P.Schedule: 18-19 March 2014, published in  International Journal of Advanced Research in Computer Science, Vol 5, Issue 2, 2014.  Available at: http://www.ijarcs.info/index.php/Ijarcs/article/view/2025  and http://www.ijarcs.info/index.php/Ijarcs/article/view/2025/2013