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.

🌐 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

Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

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Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

Mr Dondapati Rajendra Dev Vignan’s Institute of Engineering for Women, India

He has been serving as an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018. In his current role, he thrives in an innovative and challenging environment, where he continually enhances his skills and knowledge. With a dedication to growth and development, he actively contributes to the educational journey of his students while also seeking opportunities for personal and professional advancement. His commitment to excellence and passion for teaching make him a valued member of the academic community, where he aims to inspire and empower the next generation of engineers.

Education:

He is currently pursuing a Ph.D. in Image Processing at Annamalai University, having enrolled on December 10, 2019. Prior to this, he completed his M.Tech in Software Engineering from GITAM Institute of Technology in 2014, achieving a commendable first-class with a grade of 81.4%. His academic journey began with a Bachelor’s degree in Computer Science Engineering from Sri Sivani College of Engineering in 2010, where he also secured a first-class with a percentage of 65.24%. Before his undergraduate studies, he successfully completed his Intermediate education in Mathematics, Physics, and Chemistry from Sri Chaitanya College in 2006, again obtaining a first-class with a percentage of 82.50%. His academic excellence traces back to his schooling at Little J.K Public School, where he completed his SSC with distinction, securing a first-class with a grade of 78.0% in 2004. Throughout his educational endeavors, he has demonstrated a strong commitment to excellence and a thirst for knowledge.

🌐 Profile Links:

Experience:

He has been an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018, bringing with him a wealth of experience and expertise. Prior to his current position, he served as an Assistant Professor at Sanketika Institute of Technology and Management from July 26th, 2017, to September 4th, 2018, where he honed his teaching skills and contributed to the academic community. Before that, he held a similar role at Sri Sivani College of Engineering from October 10th, 2014, to May 31st, 2017, where he played a key role in shaping the educational experience of his students. Additionally, he gained valuable industry experience as a Jr. Software Engineer at EESOFT TECHNOLOGIES PVT. LTD (DILSUKHNAGAR, HYDERABAD) from September 2010 to May 2012, where he developed his technical skills and understanding of software engineering principles. Throughout his career, he has demonstrated a strong commitment to education and professional growth, continuously seeking new opportunities to enhance his knowledge and skills.

Workshops:

He has actively participated in various national and international workshops and webinars, showcasing his dedication to staying updated with advancements in his field. In April 2021, he attended a National Webinar on Applications of Artificial Intelligence-Across Industry Domains by Vignan’s Foundation for Science, Technology and Research in Guntur. Following this, in May 2021, he participated in a National Webinar on Methods and Techniques for Privacy Preserving in Blockchain. In June 2021, he attended another national webinar on Rough Set Theory and Its Applications. Continuing his pursuit of knowledge, he joined a National Webinar on Research Challenges on Internet of Things in July 2021. In August 2020, he engaged in an International Workshop on Deep Learning conducted by BITS Pilani Hyderabad campus. Additionally, he enriched his skills by attending workshops on Latex-A Scientific Documenting Tool and Data Analytics using Excel conducted in May and 2020, respectively. These experiences reflect his commitment to continuous learning and professional development in the fields of technology and research.

Publications:

  1. Uncertainty determination and reduction through novel approach for industrial IOT Published By : 2024

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.

🌐 Profile Links:

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

 

Yu Pan | Information systems and digital marketing

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Yu Pan – Leading Researcher in Information systems and digital marketing

Prof Yu Pan, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Shanghai International Studies University, China. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Information systems and digital marketing into Social Media and Digital Marketing applications.

🌐 Profile Links:

👨‍🏫 Working Experience:

  • 2016-present: Professor, Doctoral Supervisor, Dean of School of International Business Administration, Shanghai International Studies University, Director of the Key Laboratory of Brain and Cognitive Science Applications
  • 2010-2016: Professor, Doctoral Supervisor, Deputy Dean of School of Economics and Management, Beijing University of Posts and Telecommunications
  • 2009-2010: Associate Professor, School of Business, East China University of Science and Technology

🎓 Academic Positions:

  • Adjunct Professor: Manchester Metropolitan University, Donghua University, Management School of Shanghai University
  • Affiliate Professor: ESC Rennes, France (top 15 in France, top 50 in Europe), Apr. 2010
  • Deputy Editor-in-Chief of “Shanghai Management Science” (2021)
  • Member of the Academic Committee of Shanghai International Studies University (2019)
  • Executive Director of China Information Economics Association (2019)
  • Member of the 7th Shanghai Intellectuals Association (2018)
  • Executive Director of China Information Systems Society (CNAIS) (2017)
  • Council Member, Technology and Innovation Management Professional Committee of China Management Modernization Research Association (2017)
  • Council Member, Shanghai Big Data Society Application Research Association (2017)
  • Member of the 5th Neuromanagement and Neuroeconomics Organizing Committee (2016)
  • Member of the Expert Advisory Committee of Hainan Information Association (2016)
  • Vice Chairman, Research Council of Neural Management and Neural Engineering, Academy of Management Science and Engineering (Dec. 2015)

📚 Publications:

Books:

  1. “Neuroscience Promotes the Development Trend of Management” (2020)
  2. “Government Suggestions for Enterprise Development After the Epidemic” in “Breakthrough” (2020)
  3. “Future Violence and National Governance—Facing New Threats from Robots, Viruses, Hackers and Drones” (2019)

Papers:

  1. “Telling the ‘bad’ to motivate your users to update: Evidence from behavioral and ERP studies” (2023)
  2. “Impulsivity-related right superior frontal gyrus serves as a biomarker of internet gaming disorder” (2023)
  3. “Neural evidence of face processing in social anxiety disorder: A systematic review with meta-analysis” (2023)

🔍 Research Grants:

  1. Shanghai Distinguished Professors Support Tracking Plan (Oriental Scholars), 2020-2023, 1 million yuan
  2. National Natural Science Foundation of China special project “Neuroscience-driven management decision-making and application innovation research,” 2020-2024, 2400000+600,000 yuan

🌐 Consulting Projects:

  1. “Digital Driven Integrated Marketing Project-Consumer Label Automatic Identification and Personalized Advertising Copy Generation Method Based on Consumer Behavior,” Leo Group Digital Technology Co., Ltd., Project Manager (2017)
  2. “Specific Evaluation on Channels, Customers, Overall Satisfaction in 2012,” China Telecom Corporation Limited Zhejiang Branch, RMB 1.23 million, Project Manager (2012)
  3. “Service evaluation comparing entity Shops and electronic channels in 2011,” China Telecom Corporation Limited Shanghai Branch, RMB 0.2 million, Project Manager (2011)
  4. “Research on entrepreneurial growth pattern in Socialist State-owned enterprises,” RMB 0.19 million, Major Member (2013)
  5. “Customer service comprehensive satisfaction evaluation program,” China Telecom Corporation Limited Hubei Branch, RMB 0.5 million, Major Participant (2011)

👥 Academic Meetings:

  • Shanghai Management Science Forum (2019): Chaired the “Neuroscience and Management” sub-forum and presented on “Neuroscience Promotes User Behaviour Research”
  • Management Science Annual Conference (2019): Keynote report on “Cognitive Neuroscience Promoting the Research and Development of Intelligent System User Behaviour”

🤝 Social Appointments:

  • Independent Director, Shanghai China Transmission Network Technology Co., Ltd. (2019)
  • Independent Director, Shenzhen Compton Technology Co., Ltd. (2019)
  • Independent Director, Beijing Datang Telecom Convergence Communications Technology Co., Ltd. (2015)

Paulraj D | Big Data Analytics, Block Chain Technologies, Machine Learning

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Dr Paulraj D –  Leading Researcher in Big Data Analytics, Block Chain Technologies, Machine Learning

Congratulations, Dr Paulraj D, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Paulraj D, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar University of Florida, United States. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

👩‍🏫 Professional Summary:

Dedicated and student-centered Professor with expertise in Service Oriented Architecture (SOA) and Artificial Intelligence (AI) – Machine Learning, Deep Learning, Cloud Computing, and Big Data. A committed and engaging educator, recognized for exceptional lecturing skills in Computer Science and Engineering subjects. Commended for sustaining effective learning environments through well-prepared classes, relevant assignments, and consistently achieving classroom management and academic goals. An intelligent and charismatic educator committed to helping students accomplish their academic goals.

🌐 Profile Links:

🔍 Skills:

  • Faculty Communication
  • Curriculum and Syllabus Planning and Development
  • Technology-based Curriculum Development
  • Board of Study Member
  • Performance Assessment
  • Classroom Management
  • Academic Research and Analysis
  • Student Research Guidance
  • Online Learning Tools
  • Thesis Advisement
  • Student Counseling

📚 Education:

In pursuit of academic excellence and a profound understanding of Computer Science and Engineering, I earned my Ph.D. from Anna University, Chennai, India, in 2012. Building upon this foundation, I obtained a Master’s degree (M.E.) in Computer Science and Engineering from Anna University in 2004, further enriching my knowledge and expertise in the field. My educational journey began with a Bachelor’s degree (B.E.) in Computer Science and Engineering from Bangalore University, Bangalore, India, in 1993. These educational milestones collectively reflect my enduring commitment to advancing my skills and knowledge in the dynamic realm of Computer Science and Engineering.

👩‍🎓 Experience:

  • Professor (Jun 15, 2022 – Present): Department of Computer Science and Engineering, R.M.K Engineering College (NAAC A+), Chennai, India.
  • Professor & Head of the Department (Nov 23, 2016 – Jun 15, 2022): Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India.
  • Professor (Nov 2012 – Nov 2016): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Associate Professor (Jun 2009 – Nov 2012): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Software Engineer (Jul 1995 – Aug 2001): Geosoft Technologies (TVM), Ltd., Technopark, Trivandrum, India.
  • Software Engineer (Oct 1993 – Jun 1995): Al Nimar Enterprises, Muscat, Sultanate of Oman.

🏆 Accomplishments:

Being a dedicated member of the Internal Quality Assurance Cell reflects my commitment to fostering excellence in every aspect of our institution’s functioning. In the capacity of the NIRF (National Institutional Ranking Framework) Coordinator, I play an instrumental role in positioning our institution strategically to achieve notable rankings. Moreover, as the Single Point of Contact (SPOC) for IIT-M under the National Programme on Technology Enhanced Learning (NPTEL), I facilitate seamless communication and collaboration.

📊 Research:

  1. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model Ontology-Based Matchmaking of Semantic Web Services”…
  2. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model-Based Atomic Service Discovery and Composition Of Composite Semantic Web Services Using Web Ontology Language For Service (Owl-S)”…
  3. D. Paulraj, Swamynathan, S., Daniel Chandran, Balasubadra, K And Vigilson Prem, M., “Service Composition And Execution Plan Generation of Composite Semantic Web Services Using Abductive Event Calculus”…

👩‍💼 Responsibilities at Present Institution:

  • Professor of Computer Science and Engineering.
  • Anna University Recognized Research Supervisor.
  • Coordinator Internal Hackathon.
  • Sports Convenor.
  • Institution Level NBA Coordinator.
  • IQAC Member.
  • NPTEL SPOC.
  • External NBA Committee Auditor (QIS College of Engineering, Ongole, Andhra Pradesh).

🏆 Awards and Honors:

  • 2017: National Level Award for Review Coordinator, National level selection procedure Dr.Kalam Educational Trust.
  • 2012: Men Engineers Award, IET, Chennai Network.
  • 2012: Er.D.A.Rajan Promotional Award, IET, Chennai Network.
  • 2005: Board of Study Member, Kannur University.
  • 2004: Technical Advisor, Registrar of Co-Operative Societies, Govt. of Kerala.