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

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.

🌐 Profile Links:

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

Yuxi Qin | Wireless sensing | Digital Marketing Research Impact Award

Yuxi Qin | Wireless sensing | Digital Marketing Research Impact Award

Yuxi Qin Nanjing University of Posts and Telecommunications, China 

Currently pursuing a Ph.D. at the School of Communication & Information Engineering, Nanjing University of Posts & Telecommunications from September 2019 to December 2023, he is dedicated to advancing his expertise in the field. In 2016, he achieved the third prize in the Anhui University Internet of Things Application Innovation competition. His award-winning work involved using infrared signals emitted by mobile phones, controlled through self-developed Android software, to remotely manage a self-designed embedded intelligent car. This accomplishment showcases his innovative spirit and practical application of technology in the realm of the Internet of Things.

🎓Education:

His academic journey reflects a continuous dedication to computer science and technology. From September 2011 to July 2015, he pursued his Bachelor’s degree at the School of Computer Science & Technology, Anhui University of Technology. Building on this foundation, he furthered his education by completing a Master’s degree at the same institution from September 2015 to July 2018. Currently, he is engaged in Ph.D. studies at the School of Communication & Information Engineering, Nanjing University of Posts & Telecommunications, from September 2019 to December 2023. This progression highlights his commitment to academic excellence and continuous learning in the dynamic field of computer science.

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Experience:

With a remarkable track record, he has demonstrated his prowess in innovation and information security. In 2016, he earned the third prize in the Anhui University Internet of Things Application Innovation competition, showcasing his ability to use infrared signals from mobile phones to control a self-designed embedded intelligent car. The following year, he clinched the first prize in the Anhui University Student Information Security Works competition by embedding specific color block information in video images, leveraging the limited temporal and spatial resolution of the human eye. Transitioning into a full-time teaching role from July 2018 to July 2019 at Chuzhou Vocational and Technical College’s School of Information Engineering, he took charge of computer-related courses, including Linux, Shell, and Python, while also serving as a class counselor. In a short-term internship from August to September 2021 at the Cloud Computing Center of the Chinese Academy of Sciences, Energy Big Data Department, he contributed as an assistant researcher. In this role, he focused on energy optimization in the wastewater treatment process of CR Snow Brewery, utilizing machine learning to identify a sewage treatment method with lower energy consumption. These diverse experiences underscore his proficiency in both academia and practical applications within the realm of computer science and technology.

Publications:

  1. WiASL: American Sign Language writing recognition system using commercial WiFi devices Published By : 2023

  2. Cross-domain extendable gesture recognition system using WiFi signals Published By : 2023

  3. Multiuser Scheduling Algorithm for 5G IoT Systems Based on Reinforcement Learning Cited By : 3, Published By : 2023

  4. Learning-aided User Scheduling Algorithm for TDD MIMO with Reduction in Pilot Contamination Published By : 2023

  5. Consumer Wi-Fi device based action quality recognition: An illustrative example of seated dumbbell press action Published By : 2021