Pavithra sekar – Deep Learning – Best Researcher Award

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Pavithra sekar -Deep Learning – Best Researcher Award

Dr. Pavithra sekar distinguished academic and researcher in the field Deep Learning.

🌐 Professional Profile

Educations📚📚📚

She holds a Bachelor of Engineering (B.E.) in Computer Science Engineering, which she completed in April 2006 with a percentage of 75.6%, earning a first-class with distinction from Vel Tech Engineering College, affiliated with Anna University. She further advanced her education by obtaining a Master of Engineering (M.Tech) in Information Technology in June 2011, achieving a percentage of 8.43 and graduating with first-class honors from Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, also affiliated with Anna University. She completed her academic journey with a Ph.D. in Information Technology, awarded on January 24, 2020, from St. Peter’s Institute of Higher Education and Research.

PROFESSIONAL EXPERIENCE:

She possesses about 17 years of experience in the field of education, encompassing teaching, administration, and research. Currently, she holds the position of Assistant Professor Sr in the School of Computer Science and Engineering at Vellore Institute of Technology, Chennai. Her career includes roles such as Assistant Professor (Sr) in the Department of Computer Science and Engineering at VIT Chennai since December 15, 2023. Previously, she served as Assistant Professor (SG) and IPR coordinator in the Department of Information Technology from March 31, 2021, to December 7, 2022, at Rajalakshmi Engineering College. Prior to that, she was Assistant Professor & Assistant HOD in the Computer Science & Engineering Department at VelTech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College for 9.6 years, from July 6, 2011, to January 25, 2021. She began her career as a lecturer in the Department of Information Technology at VelTech MultiTech Dr. Rangarajan Dr. Sakunthala Engineering College from August 24, 2006, to September 25, 2009.

 

DEVELOPMENT ACTIVITIES

She possesses a thorough understanding of her subject area, demonstrating an exceptional ability to effectively communicate complex concepts to her students. Her strong communication and comprehension skills enhance her role in internal administrative tasks within educational institutions. She has a proven track record in coordinating various activities such as symposiums, student projects, and conferences, where she provides guidance and support to ensure successful outcomes. Her extensive experience includes roles as Class Coordinator, Conference Coordinator, Project Coordinator for contests, and organizing events like the MOTOROLA FAER EVENT. Additionally, she has served as ISO coordinator, handled NBA coordination, and participated actively in autonomous file activities. She is involved in setting question papers for autonomous colleges and universities and has excelled in roles such as Class In-Charge, Student Mentor, and AICTE CII-Survey participant. She diligently maintains semester-wise result analysis reports, prepares weekly schedules, and curates course materials for effective teaching. Her commitment to excellence is evident in achieving over 90% results across all subjects and receiving a publication award of 16,000. Notably, she achieved a perfect 100% result in key subjects like Computer Programming, Operating System, Computer Architecture, Advanced Computer Architecture, and Problem Solving And Python Programming.

📝🔬Publications📝🔬

1. S. Pavithra and K. Venkata Vikas, “Detecting Unbalanced Network Traffic Intrusions With Deep
Learning,” in IEEE Access, vol. 12, pp. 74096-74107, 2024, doi: 10.1109/ACCESS.2024.3405187.
2. . Pavithra, T. Veeramani, S. Sree Subha, J.P. Sathish Kumar, S. Shanmugan, Ammar H.
Elsheikh, F.A. Essa, “Revealing prediction of Perched Cum Off-Centered Wick Solar Still
Performance using network based on Optimizer algorithm” Process Safety and
Environmental Protection,Volume 161,2022, Pages 188-200,ISSN 0957-
5820,https://doi.org/10.1016/j.psep.2022.03.0092022, .(SCI, Scopus).)(Impact factor: 7.92).
3. Meena, M., Kavitha, A., Karthick, Pavithra.S “Effect of decorated photoanode of
https://doi.org/10.1007/s12034-022-02828-9 .(SCI, Scopus).)(Impact factor: 1.92).
4. S.Pavithra, P.M Anu “An Efficient Data Aggregation with Optimal Recharging in Wireless
Rechargeable Sensor Networks” (Submission code: IJAIP-221302) for the International
Journal of Advanced Intelligence Paradigms (IJAIP) Inderscience
DOI: 10.1504/IJAIP.2022.10040244,2022 (Scopus). Impact factor ( 0.63)
5. S.Pavithra Assistive Chatbot device to support Visually Impaired Person to access
Transport Mode Status Using Deep Learning Model ARPN Journal of Engineering and
Applied Sciences waiting for Publication 2022. (Scopus).
6. S.Pavithra, R.Karthikeyan P.M Anu “Detection and classification of 2D and 3D Hyper
Spectral Image Using Enhanced Harris Corner Detector” “Scalable Computing: Practice and
Experience, ISSN 1895-1767, Volume 21, Issue 1, pp. 93–100, DOI

Peican Zhu -Natural language processing (NLP) – Best Researcher Award

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Peican Zhu -Natural language processing (NLP)

Dr.Peican zhu   distinguished academic and researcher in the field of Natural lanuage processing. Since May 2022, he has been serving as an Associate Professor at the School of Artificial Intelligence, Optics, and Electronics (iOPEN) within Northwestern Polytechnical University. Prior to this, from March 2016 to April 2022, he held the position of Associate Professor at the School of Computer Science, specifically contributing to the Center for Multidisciplinary Convergence Computing at the same university. Throughout his tenure, he has been actively engaged in academia, making significant contributions to the field of computer science and multidisciplinary convergence computing.

Education

He pursued his academic journey with a Ph.D. from the University of Alberta, Canada, spanning from September 2011 to August 2015 under the guidance of Dr. J. Han. Following this, he continued to expand his knowledge and expertise by obtaining a Master’s degree at Northwestern Polytechnical University, China, from September 2008 to April 2011, with Dr. X. Gao as his supervisor. His educational foundation was laid during his undergraduate studies at Northwestern Polytechnical University, China, where he earned his Bachelor’s degree from September 2007 to June 2008. Throughout his educational pursuits, he has demonstrated a commitment to academic excellence and a passion for advancing his understanding in the fields of computer science and related disciplines.

Professional Profiles:

Research Interest

Social computation and network science; Complex networks; Epidemic spreading and behavior vaccination; Reliability evaluation and criticality analysis Monte Carlo simulations and stochastic analysis; Evolutionary game theory; Data Science

Honors & Awards

He has garnered several prestigious honors and awards throughout his career, underscoring his dedication and contributions to various domains. In 2014, he received a Travel Award from the Canadian Institutes of Health Research (CIHR) to attend the Canadian Bioinformatics Workshops, followed by another CIHR Travel Award in 2013 for the 11th Asia Pacific Bioinformatics Conference (APBC). Notably, from May 2014 to May 2015, he was honored with the Alberta Innovates Graduate Student Scholarship, including the AITF (Alberta Innovates Technology Futures) Top-Up Award, recognizing his outstanding achievements during his graduate studies in Alberta, Canada.

Furthermore, his excellence in the field has been acknowledged with the Qian Weichang Prize in Chinese Information Processing Science and Technology, a prestigious award he received in November 2018. Adding to his list of accolades, in March 2021, he was bestowed with the Natural Science Award of Shaanxi Province, earning the coveted First Prize No. 3. These honors underscore his significant contributions and achievements in the realms of bioinformatics, technology, and information processing.

Academic Activities

He actively engages in various academic activities, particularly as a referee for numerous peer-reviewed journals, showcasing his commitment to contributing to the scholarly community. Notably, he has served as a referee for esteemed journals such as Reliability Engineering and System Safety, Microelectronic Reliability, Chaos Solitons & Fractals, Chaos, Annals of Operations Research, Scientific Reports, BMC System Biology, Biosystems, IEEE Biomedical Circuits and Systems, IEEE Transactions on Circuits and Systems II: Express Briefs, BioMed Research International, IEEE Access, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Reliability, IEEE Transactions on Industrial Electronics, Mathematical Problems in Engineering, DATE, DFT, ECCV, KSEM, and more.

In addition to his role as a reviewer, he is an active member of prominent professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the Reliability Branch of the China Operational Research Society. His affiliations extend to memberships in the China Computer Federation (CCF), Chinese Society of Optimization, Overall Planning and Economic Mathematics, Chinese Association for Artificial Intelligence, Association for the Advancement of Artificial Intelligence, and the Chinese Association of Automation.

Moreover, he contributes to the academic community as an associate editor for journals such as Humanities & Social Sciences Communications and Heliyon. His editorial responsibilities also include serving as a guest editor for Frontiers in Physics, Complexity (Hindawi), Mathematics (mdpi), and Applied Sciences (mdpi). These diverse roles highlight his extensive involvement and leadership within the academic and research realms.

Grants

He has been actively involved in securing research grants, showcasing his leadership and expertise in various domains. As the principal investigator, he leads the Key Research and Development Program of Shaanxi Province (Grant No. 2022KW-26) from January 2022 to December 2023, focusing on the research of intelligent decision theory and its applications. Furthermore, he spearheads the National Key Research and Development Project of China (Grant No. 2020AAA0107704) from November 2021 to October 2023, dedicated to enhancing the robustness and automatic attack and defense mechanisms of AI systems.

In the realm of network populations, he serves as the principal investigator for the National Science Foundation of China (Grant No. 62073263) from January 2021 to December 2024, exploring the mechanisms of information dissemination. His earlier contributions include leading projects such as the Stochastic Analysis of Two-layered Multiplex Networks funded by the National Science Foundation for Young Scientists of China (Grant No. 61601371) from January 2017 to December 2019.

His research extends to the aerospace domain, as seen in projects like the Reliability Evaluation of Wireless Sensor Networks in Aerospace Crafts through Stochastic Analysis (Aerospace Science and Technology Fund, January 2017 – December 2017). Additionally, he delves into reliability evaluation and optimization of complex systems through the Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2018JQ6075) from January 2018 to December 2019.

Participating as the principal investigator and project participant in various national and provincial research initiatives, he addresses diverse topics, including epidemic spreading in dynamical complex networks, game decision under incomplete information, multi-source spatio-temporal large data perception, fusion, and analysis in public security, multi-source heterogeneous large data fusion and analysis based on network public security, and key technologies of new infrastructure’s automatic network attack-defense countermeasure. These grant projects underscore his multifaceted contributions to advancing knowledge and innovation in his field.

Publication

  1. A stochastic computational approach for accurate and efficient reliability evaluation
    J Han, H Chen, J Liang, P Zhu, Z Yang, F Lombardi
    IEEE Transactions on Computers 63 (6), 1336-1350
  2. Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties
    P Zhu, X Wang, S Li, Y Guo, Z Wang
    Applied Mathematics and Computation 359, 512-524- 2019
  3. Investigating the co-evolution of node reputation and edge-strategy in prisoner’s dilemma game
    P Zhu, X Wang, D Jia, Y Guo, S Li, C Chu
    Applied Mathematics and Computation 386, 125474 – 2020
  4. A stochastic approach for the analysis of dynamic fault trees with spare gates under probabilistic common cause failures
    P Zhu, J Han, L Liu, F Lombardi
    IEEE Transactions on Reliability 64 (3), 878-892 – 2015
  5. Properties and structural analyses of USA’s regional electricity market: a visibility graph network approach
    J Hu, C Xia, H Li, P Zhu, W Xiong
    Applied Mathematics and Computation 385, 125434 – 2020
  6. Lévy noise promotes cooperation in the prisoner’s dilemma game with reinforcement learning
    L Wang, D Jia, L Zhang, P Zhu, M Perc, L Shi, Z Wang
    Nonlinear Dynamics 108 (2), 1837-1845 – 2022
  7. Difference and cluster analysis on the carbon dioxide emissions in China during COVID-19 lockdown via a complex network model
    J Hu, J Chen, P Zhu, S Hao, M Wang, H Li, N Liu
    Frontiers in psychology 12, 795142 – 2022
  8. Investigating the effects of updating rules on cooperation by incorporating interactive diversity
    P Zhu, X Hou, Y Guo, J Xu, J Liu
    The European Physical Journal B 94, 1-8 – 2021
  9. Suppression of epidemic spreading process on multiplex networks via active immunization
    Z Li, P Zhu, D Zhao, Z Deng, Z Wang
    Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (7) – 2019
  10. Community detection in temporal networks via a spreading process
    P Zhu, X Dai, X Li, C Gao, M Jusup, Z Wang
    Europhysics Letters 126 (4), 48001 – 2019