BakkiaLakshmi V.S

Accomplished Assistant Professor and seasoned Researcher with a robust background in academia and industry, notably at SRM University. Expert in leveraging critical thinking and strategic planning to foster educational innovation and research excellence. Demonstrates unparalleled multitasking abilities and crisis management, significantly enhancing learning outcomes and research impact.

• PDF - Completed Post Doctoral Fellowship at Shinawatra University Pathum Thani 12160, Thailand.
• Faculty Achievement Award from SRMIST Department of Computing Technologies- Got 48 Internship offers for students.
• Research fellow (Nov 2024 to Nov 2027) at Shinawatra University.
• International Research Visit and collaboration with Austria(Europe) - University of Applied Science (FHoo) Via WTUN Research exchange visit from Hindustan Institute of Technology and Science. Worked with Austrian researchers in a Bio informatics (BIN) project team.
• Best Research Scholar Award by Hindustan University for the Research Excellence with 9 Scopus publishing papers in research period and Research Exchange visit to Austria(Europe) with fully funded scholarship of 2000 GBP from Bradford University - UK.
• "Research Scholar Excellence Award 2022" by GMRAF for the Research Excellence in research area Affective computing on Emotional Psychology.
• "News today" News Magazine publication on "Psychological effects of online learning during covid pandemic"
• "Trinity Mirror" News Magazine publication on "Students Emotional Psychology - Psychological effects of online learning".
• Google Scholar - Citations - 47 and h-index - 5. Total 17 articles Published and presented in Scopus Indexing/WoS Journals and conferences
• Guest Presence, Lectures and Webinar presented Physically and online in multidisciplinary domains

• Faculty Achievement Award from SRMIST - 2024
• Best Research Scholar Award by Hindustan University. 2023
• JCR - Journal Citation Reports certification , WOS - Clarivate - 2022
• Scientific Journal Reviewer @ IAES - International Journal of Artificial Intelligence.
• Best Research scholar excellence award certification by GMRAF. 2022
• IBM Certified Deep learning & Machine learning - Trained Tutor.

CREDENTIALS

Journal Research papers 

1. Bakkialakshmi, V. S., and Sudalaimuthu Thalavaipillai. "AMIGOS: a robust emotion detection framework through Gaussian ResiNet." Bulletin of Electrical Engineering and Informatics 11.4 (2022): 2142-2150.

2. Bakkialakshmi V.S, Sudalaimuthu, T. "Emo-net artificial neural network: a robust affective computing prediction system for emotional psychology using amigos. “August 2022Indian Journal of Computer Science and Engineering 13(4):1040-1055. DOI: 10.21817/indjcse/2022/v13i4/221304034.

3. Bakkialakshmi V.S, and T. Sudalaimuthu. 2022 "Affective Computing analysis in Emotional Psychology using AMIGOS with Gaussian Expectation- maximization model." International Journal of Reconfigurable and Embedded Systems (IJRES). Vol. 13, No. 1, pp. 201~209, DOI: http://doi.org/10.11591/ijres.v13.i1.pp201-209

4. Bakkialakshmi V.S, and T. Sudalaimuthu. 2021 "Emo-Gem: An Impacted Affective Emotional Psychology Analysis through Gaussian Model using AMIGOS." Journal of Positive School Psychology (ISSN 2717-7564), Volume 6, Issue No. 3, Pages 6417–6424. Publisher ASR Research India.

5. Bakkialakshmi, V. S., et al. "Exploring the Potential of Deep Learning in the Classification and Early Detection of Parkinson's Disease." EAI Endorsed Transactions on Pervasive Health and Technology 10 (2024).

Conference Research papers

6. Bakkialakshmi, V. S., T. Sudalaimuthu, and Stephen Winkler. “Effective Prediction System for Affective Computing on Emotional Psychology with Artificial Neural Network”. No. 8801. Preprint, Easy Chair, 2022. IEEE – SYNACS 22 –JKU - Johannes Kepler Universität Linz [RISC] – Upper Austria

7. Bakkialakshmi V.S, and T. Sudalaimuthu. 2021 "A Survey on Affective Computing for Psychological Emotion Recognition." AICTE Sponsored - Fifth International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) (pp. 480-486). IEEE

8. B. V. S and T. Sudalaimuthu, "Dynamic Cat-Boost Enabled Keystroke Analysis for User Stress Level Detection," 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), 2022, pp. 556-560, DOI: 10.1109/CISES54857.2022.9844331.

9. Bakkialakshmi V.S, and T. Sudalaimuthu. 2021 "Unique Covariate Identity (UCI) Detection for Emotion Recognition through EEG Signals." 2021 International Conference on Big Data, Machine Learning, and Applications (BigDML 2021) NIT (Silchar). Lecture Notes in Networks and Systems (LNNS) - Springer, Proceedings Series.

10. Bakkialakshmi V.S, and T. Sudalaimuthu. 2021 "Anomaly Detection in Social Media using Text-Mining and Emotion Classification with Emotion Detection." 2021 Fifth International Conference on Cognition and Recognition-(ICCR 2021). Springer CCIS (Communication in Computer and Information Science) Book series, 2021.

11. Bakkialakshmi V.S, and T. Sudalaimuthu. 2021 "Emo-Spots: Detection and Analysis of Emotional Attributes through Bio-Inspired Facial Landmarks." 2021 International Conference on, Intelligent computing and Security: A Paradigm Shift (IICS-2021). Springer series Lecture Notes in Electrical Engineering (LNEE), 2021.

12. Bakkialakshmi V.S, and T. Sudalaimuthu 2022. “Emotional Psychological Impacts of Online Learning Students during Pandemic and Education Trend n Post Pandemic “. IEEE Madras Section - ICDSAAI2022 Conference @ CIT Chennai, December 2022. 

13. Bakkialakshmi, V.S., Sudalaimuthu, T. (2024). Unique Covariate Identity (UCI) Detection for Emotion Recognition Through EEG Signals. In: Borah, M.D., Laiphrakpam, D.S., Auluck, N., Balas, V.E. (eds) Big Data, Machine Learning, and Applications. BigDML 2021. Lecture Notes in Electrical Engineering, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-99-3481-2_56

14. Bakkialakshmi, V. S., Anubhav Vardhan, and Bhaskar. "NewApt: A Python Wrapper for Improving APT Package Manager." International Conference on Cognitive Computing and Cyber Physical Systems. Singapore: Springer Nature Singapore, 2023.

15. Bakkialakshmi, V. S., Nikhil Kar, and Vicky Kumar. "The Digital Mirror-Reflecting Human Emotions through Machine Learning-Based Facial Gesture Recognition." 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU). IEEE, 2024.

16. Bakkialakshmi, V. S., T. Sudalaimuthu, and R. Anandhi. "An analysis of COVID-19 symptoms using machine learning algorithm." AIP Conference Proceedings. Vol. 3075. No. 1. AIP Publishing, 2024.

17. Bakkialakshmi, V. S., Vamsi Krishna Minnal Sundar Rajan, and T. Sudalaimuthu. "Individual human emotion detection with multimodal synchronous health detectors." AIP Conference Proceedings. Vol. 3075. No. 1. AIP Publishing, 2024.

• Austria - Europe
• Singapore
• Malaysia
• Thailand
• Dubai
• Mauritius
• Srilanka
• Indonesia
• Maldives