Nalayini C M | Blockchain Machine learning and Deep Learning | Best Researcher Award

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Nalayini C M | Blockchain Machine learning and Deep Learning | Best Researcher Award

Mrs Nalayini C M Velammal Engineering College, India

Mrs. C. M. Nalayini is currently working as an Assistant Professor in the department of Information Technology at Velammal Engineering College. Her teaching experience is 18.8 years in total. She is pursuing her Ph.D degree in Information and Communication Engineering at Anna University, Chennai, India. Her current research interest includes Network Security, Machine Learning, Deep Learning and Blockchain Technologies. She has published many books such as Programming in C, Data Structures, and published notes in vidyarthiplus for the welfare of the students. She has publishes many book chapters in Springer Lecture series. She has published many research articles in International journals and Conferences. She acted as resource person for various events such as Seminar on Cloud, Workshops on Artificial Intelligence, Machine Learning and Exploring Blockchain and Faculty Development Programs on Blockchain Technologies. She has also given Computer Trainings to various Government School Students for the welfare of the student community. She has completed courses such as CCNA, Network Security, Database Management Systems, Blockchain and its applications. She has conducted various events such as Seminars, Workshops, Faculty Development Programs, National Conference, Guest Lectures, Quiz Competitions and Project Competitions etc. She has won best paper award for the Blockchain research paper. Faculty Ambassador for the Hyperledger India Chapter Student Society-VEC chapter.

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Education:

Mrs. C. M. Nalayini is currently pursuing her Ph.D. degree in Information and Communication Engineering at Anna University, Chennai, India, while serving as an Assistant Professor in the department of Information Technology at Velammal Engineering College. With a total teaching experience of 18.8 years, she has dedicated herself to academic excellence. Her research interests lie in Network Security, Machine Learning, Deep Learning, and Blockchain Technologies. Mrs. Nalayini has authored several books, including “Programming in C” and “Data Structures,” and has contributed notes on vidyarthiplus for student welfare. She has also published numerous book chapters in the Springer Lecture series and research articles in international journals and conferences. Committed to sharing her knowledge, Mrs. Nalayini has served as a resource person for seminars, workshops, and faculty development programs on various topics, including Cloud Computing, Artificial Intelligence, and Blockchain. She has also conducted computer training sessions for government school students, demonstrating her dedication to the broader community. Additionally, Mrs. Nalayini has completed courses in CCNA, Network Security, Database Management Systems, and Blockchain applications, further enhancing her expertise in the field.

Experience:

With 18.8 years of teaching experience, Mrs. C. M. Nalayini brings a wealth of knowledge and expertise to her role as Assistant Professor in the department of Information Technology at Velammal Engineering College. Alongside her teaching responsibilities, Mrs. Nalayini is deeply engaged in research, currently pursuing her Ph.D. degree in Information and Communication Engineering at Anna University, Chennai, India. Her research interests span various domains, including Network Security, Machine Learning, Deep Learning, and Blockchain Technologies. Mrs. Nalayini is a prolific author, having published numerous books and book chapters, as well as research articles in international journals and conferences. She is actively involved in academic events, serving as a resource person for seminars, workshops, and faculty development programs. Mrs. Nalayini’s commitment to student welfare extends beyond the classroom, as evidenced by her efforts to provide computer training to government school students. Her dedication to advancing knowledge and fostering academic excellence has earned her recognition, including the prestigious Faculty Ambassador role for the Hyperledger India Chapter Student Society-VEC chapter and the Best Paper Award for her Blockchain research paper.

Publications:

  1. Intrusion Detection in Cyber Physical Systems Using Multichain, Malware Analysis and Intrusion Detection in Cyber-Physical Systems Published By : 2023
  2. A New IDS for Detecting DDoS Attacks in Wireless Networks using Spotted Hyena Optimization and Fuzzy Temporal CNN, Journal of Internet Technology Published By : 2023
  3. A Study on Digital Signature in Blockchain Technology Published By : 2023
  4. Placement Analysis for Students using Machine Learning”,  Journal of Information Technology and Digital World Published By : 2023
  5. Biometric based Mobile Voting Application. Journal of Information Technology and Digital World Published By : 2023
  6. Identification of Leaf Disease Using Machine Learning Algorithm—CNN”, Lecture Notes in Networks and Systems   Published By : 2023
  7. Deterrence of Accident Using IoT”,Journal of Trends in Computer Science and Smart Technology Published By : 2023
  8. Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm”,  ICSMDI 2022,Smart Data Intelligence. Algorithms for Intelligent Systems. Springer, Singapore Published By : 2022
  9. Identification and Detection of Credit Card Frauds Using CNN. In: Mishra, M., Kesswani, N., Brigui, I. (eds) Applications of Computational Intelligence in Management & Mathematics. ICCM 2022. Springer Proceedings in Mathematics & Statistics, vol 417. Springer, Cham Published By : 2023
  10. A Comparative Analysis of Standard Classifiers with CHDTC to Detect Credit Card Fraudulent Transactions. In: Sivasubramanian, A., Shastry, in Electrical Engineering, vol 792. Springer, Singapore Published By : 2022

Nibedita Ghosh | Mathematics | Best Researcher Award

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Nibedita Ghosh | Mathematics | Best Researcher Award

Ms Nibedita Ghosh RWTH Aachen University, Germany 

She is currently engaged in a Postdoctoral position in Mathematics at the Institute for Geometry and Practical Mathematics, RWTH Aachen University, Germany, a role she has held since November 2023. Alongside her postdoc, she actively contributes to the field of education as a Teaching Assistant for the course Advanced Engineering Mathematics at NPTEL. Her dedication to teaching extends to previous roles where she served as a Teaching Assistant for various courses, including Statistical Methods in the academic year 2022-2023 and Linear Algebra, Numerical, and Complex Analysis in the academic year 2021-2022. Through her dual commitment to research and education, she aims to make meaningful contributions to both academia and the wider mathematical community.

Education:

She is currently serving as a Postdoctoral Researcher in Mathematics at the Institute for Geometry and Practical Mathematics at RWTH Aachen University in Aachen, Germany, a position she has held since November 2023. Her current research focuses on the project titled “Mathematical analysis of domain decomposition methods for the efficient solution of continuum solvation models,” under the mentorship of Prof. Dr. Arnold Reusken and Prof. Dr. Benjamin Stamm. Prior to her postdoc, she pursued her Ph.D. in Mathematics from the Department of Mathematics at the Indian Institute of Technology Kharagpur, India, from July 2018 to the present, with Dr. Hari Shankar Mahato as her thesis supervisor, achieving a commendable CGPA of 9.4/10 in the coursework. She completed her MSc in Mathematics from the Indian Institute of Technology Kanpur, Uttar Pradesh, India, from 2016 to 2018, where she conducted research on the application of the method of time discretization to Partial Differential Equations under the guidance of Prof. Dhirendra Bahuguna, earning a percentage of 85%. Her academic journey began with a BSc in Mathematics Honours from Hooghly Mohsin College, Hooghly, West Bengal, India, from 2012 to 2015, where she graduated as the college topper and secured fourth position in the university with a percentage of 84.625%.

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Experience:

She has served as a Teaching Assistant for various mathematics courses, demonstrating her commitment to education and academic support. Her experience includes roles such as Teaching Assistant for the course Advanced Engineering Mathematics at NPTEL, a position she currently holds. In previous academic terms, she has contributed as a Teaching Assistant for courses such as Statistical Methods in Autumn 2022-2023, and Linear Algebra, Numerical, and Complex Analysis in Spring 2021-2022. Her dedication extends to multiple courses in different semesters, including Advanced Calculus, Fluid Mechanics, and Analytical Mechanics in Autumn 2021-2022, and Mathematics-II, Probability and Statistics, and Statistical Inference in Spring 2019-2020, among others. Additionally, she completed the role of Teaching Assistant for the course Integral and Vector Calculus at NPTEL from January to April 2019. Through her extensive involvement in teaching and support, she demonstrates a passion for fostering mathematical understanding and academic excellence among students.

Conferences and Workshops:

She has actively participated in numerous workshops, enhancing her knowledge and skills in various aspects of mathematics and its applications. Noteworthy among these are her attendance at the workshop “Analysis and its Application” at RWTH Aachen University, Germany, in December 2023, and the workshop “Transport Processes” organized by IIT Kharagpur, India, in March 2021. Additionally, she engaged in online learning through workshops such as “Multi-scale Analysis: Thematic Lectures and Meeting (MATHLEC-2021)” organized by ICTS Bangalore and the workshop “Multi-scale Analysis and Homogenization” also held in Bangalore in 2019. Her commitment to continuous learning is evident in her participation in workshops covering diverse topics like mathematical modeling, MATLAB applications, and the mathematical aspects of Euler equations. Through her active involvement in these workshops, she demonstrates a dedication to staying abreast of the latest developments in mathematical research and its practical applications.

Publications:

  1. Diffusion-reaction-dissolution-precipitation model in a heterogeneous porous medium with nonidentical diffusion coefficients: Analysis and homogenization Published By : 2022
  2. Limiting analysis of a crystal dissolution and precipitation model coupled with the unsteady stokes equations in a porous media flow Published By : 2022
  3. Corrector estimates and numerical simulations of a system of diffusionreaction-dissolution-precipitation model in a porous medium Cited By : 4, Published By : 2024
  4. Global existence and uniform boundedness of the classical solutions for the system of multi-species transport with mass control Published By : 2022
  5. Pore Scale Analysis and Homogenization of a Diffusion-Reaction-Dissolution-Precipitation Model Published By : 2022

 

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

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Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

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Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

  1. SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
  2. Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
  3. A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
  4. A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
  5. Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
  6. A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
  7. A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
  8. A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
  9. Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
  10. UAV’s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019