Ramesh G | Computer Science and Engineering | Excellence in Research |

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Dr. Ramesh G |Computer Science and Engineering | Excellence in Research

Professor at Vaagdevi Engineering College, India

Dr. Ramesh G. is an accomplished academic and researcher with over 20 years of experience in the field of Computer Science and Engineering. He holds a Ph.D. from Osmania University and has a rich educational background, including a Master of Technology in Computer Science and Engineering and a Master of Science in Information Systems. Dr. Ramesh has served as an Associate Professor at Vaagdevi Engineering College and has previously held positions at Mekelle University in Ethiopia, where he contributed significantly to curriculum development for graduate programs in Cyber Security and Bioinformatics. His research interests encompass phishing webpage detection, 5G communication networks, and digital noise reduction in video processing, with several of his works published in reputable journals. He is also an active editor and reviewer for various academic journals and has published multiple utility patents. Dr. Ramesh’s contributions to academia are further highlighted by his successful acquisition of research grants and his authorship of books on IoT and machine learning.

Profile

Education

Dr. Ramesh has a Ph.D. in Computer Science and Engineering, which shows a deep level of expertise in his field. He also holds two master’s degrees, one in Computer Science and Engineering and the other in Information Systems, further solidifying his strong foundation in technology and engineering

Professional Experience

With over 20 years of teaching experience at undergraduate and postgraduate levels, and extensive experience in editorial and review roles, Dr. Ramesh has a comprehensive understanding of both academia and research.

Research Interests

Dr. Ramesh has substantial experience as an editor and reviewer for various international journals, which underscores his influence and reputation in the academic community.He has published multiple utility patents related to IoT, machine learning, and cyber security, which reflect his innovation and contribution to applied research. Additionally, securing grants from prestigious bodies like AICTE, DST, and SERB indicates his ability to attract funding for impactful research projects.

Awards and Recognition

The successful acquisition of funded grants from renowned agencies showcases his research excellence and recognition by peers and funding bodies.

Global Collaborations and Innovations

Dr. Ramesh has published several utility patents and secured multiple grants from prestigious organizations like AICTE, DST, and SERB. This indicates his ability to contribute to innovative research and secure funding for significant projects.His work as an Assistant Professor at Mekelle University in Ethiopia, including his leadership roles in curriculum development, highlights his international experience and ability to work in diverse environments.

Conclusion

Given his comprehensive education, extensive teaching and research experience, numerous patents, and significant contributions to academic journals and funded research, Dr. Ramesh G is well-qualified for recognition through a Research for Excellence award. His work in fields such as IoT, machine learning, and cyber security aligns with current technological advancements, further solidifying his candidacy.

Publications Top Notes

Title: An efficacious method for detecting phishing webpages through target domain identification
Authors: G. Ramesh, I. Krishnamurthi, K.S.S. Kumar
Journal: Decision Support Systems
Citations: 156
Year of Publication: 2014

Title: Eliminate the interference in 5G ultra-wideband communication antennas in cloud computing networks
Authors: G. Ramesh, J. Logeshwaran, V. Aravindarajan, F. Thachil
Journal: ICTACT Journal on Microelectronics
Citations: 134
Year of Publication: 2022

Title: The management and reduction of digital noise in video image processing by using transmission-based noise elimination scheme
Authors: G. Ramesh, J. Logeshwaran, J. Gowri, A. Mathew
Journal: ICTACT Journal on Image & Video Processing
Citations: 120
Year of Publication: 2022

Title: A ranking model framework for multiple vertical search domains
Authors: S.B. Sriramoju, R. Gadde
Journal: International Journal of Research and Applications
Citations: 36
Year of Publication: 2014

Title: An overview of classification rule and association rule mining
Authors: S.B.S. B. Srinivas, Gadde Ramesh
Journal: International Journal of Scientific Research in Computer Science
Citations: 19
Year of Publication: 2018

JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

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Dr. JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

Associate Professor at Clustering,  JAZAN UNIVERSITY , Saudi Arabia

Dr. Jayabrabu Ramakrishnan is an accomplished academic professional with a strong background in information technology, cybersecurity, and related fields. Currently serving as an Associate Professor at Jazan University, Saudi Arabia, since 2014, he holds a Ph.D. in Computer Science from Bharathiar University, India. Dr. Ramakrishnan has received recognition for his research, including the Scientific Research Cash Award from Jazan University. He is also actively involved in industry collaborations, aiming to bridge the gap between academia and industry. Dr. Ramakrishnan’s expertise and dedication to his field make him a valuable asset to the academic community.

Professional Profiles:

Academic and Professional Positions:

Dr. Jayabrabu Ramakrishnan has a rich academic and professional background, currently serving as an Associate Professor in the Department of Information Technology and Security at the College of Computer Science and Information Technology, Jazan University, Saudi Arabia, since January 2024. Prior to this, he held the position of Assistant Professor in the same department from September 2014 to December 2023. Dr. Ramakrishnan’s academic journey began as an Assistant Professor at Karunya University, Coimbatore, India, from June 2008 to July 2008, followed by his role as an Associate Professor in the Department of Computer Applications at Dr. NGP Institute of Technology, Coimbatore, India, from August 2008 to October 2014. Before joining academia, he served as a Lecturer in the Department of Computer Applications at Rajiv Gandhi College of Engineering and Technology, Pondicherry, India, from September 2004 to June 2008.

Education:

Dr. Jayabrabu Ramakrishnan has pursued a diverse educational journey, culminating in a Ph.D. in Computer Science from Bharathiar University, Coimbatore, India, which he completed in 2013. Prior to this, he obtained an M.Phil. in Computer Science from Annamalai University, India, in 2007. Dr. Ramakrishnan’s academic pursuits began with a Master of Computer Applications (MCA) from Pondicherry University, India, in 2004, following his Bachelor of Science degree from Madras University, India, in 2000. Recently, in 2023, he further enhanced his expertise by completing a Postgraduate Program in Artificial Intelligence and Machine Learning (PGP-AIML) from The University of Texas, Austin.

Teaching:

Dr. Jayabrabu Ramakrishnan has a strong background in teaching, with extensive experience in delivering high-quality education in the field of information technology and security. He has taught a variety of courses at both undergraduate and graduate levels, including subjects such as data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan is known for his innovative teaching methods and his ability to engage students in the learning process. He is committed to providing students with a solid foundation in theoretical concepts while also imparting practical skills that are relevant to the industry. Dr. Ramakrishnan’s passion for teaching and his dedication to student success make him a highly respected educator in his field.

Awards and Achievements:

Dr. Jayabrabu Ramakrishnan has been recognized for his exceptional contributions in research, receiving the Scientific Research Cash Award from Jazan University for the years 2019, 2020, and 2021. He established the International Certification Academy within the College of Computer Science and Technology at Jazan University and was honored with the Best Techno Faculty Award in 2014. Dr. Ramakrishnan has signed memorandums of understanding with numerous industries to strengthen industry-institute relationships. He has coordinated conferences and served as a chairperson at various national and international events. Additionally, Dr. Ramakrishnan is a Certified Cisco Networking Associate (CCNA) Instructor Trainer and serves as a reviewer for several international journals and conferences.

Research Experience:

Dr. Jayabrabu Ramakrishnan has a wealth of research experience in the field of information technology and security. His research interests span a wide range of topics, including data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan has published extensively in peer-reviewed journals and conferences, contributing to the advancement of knowledge in his field. He has also been actively involved in supervising research projects and mentoring students, fostering a culture of research excellence. His research experience reflects his commitment to academic and scholarly pursuits, making him a valuable asset to the research community.

Publications:

  1. A comprehensive and systematic review of the network virtualization techniques in the IoT
    J Ramakrishnan, MS Shabbir, NM Kassim, PT Nguyen, D Mavaluru
    International Journal of Communication Systems 33 (7), e4331
    Year: 2020
    Citations: 61
  2. A new efficient design for random access memory based on quantum dot cellular automata nanotechnology
    A Mubarakali, J Ramakrishnan, D Mavaluru, A Elsir, O Elsier, K Wakil
    Nano Communication Networks 21, 100252
    Year: 2019
    Citations: 45
  3. Fog-based delay-sensitive data transmission algorithm for data forwarding and storage in cloud environment for multimedia applications
    A Mubarakali, AD Durai, M Alshehri, O AlFarraj, J Ramakrishnan, …
    Big Data 11 (2), 128-136
    Year: 2023
    Citations: 23
  4. Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network
    J Ramakrishnan, D Mavaluru, RS Sakthivel, AS Alqahtani, A Mubarakali, …
    Neural Computing and Applications, 1-15
    Year: 2020
    Citations: 21
  5. An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure
    S Eswaran, V Rani, D Daniel, J Ramakrishnan, S Selvakumar
    International Journal of Pervasive Computing and Communications 18 (1), 59-78
    Year: 2021
    Citations: 10
  6. A framework for fraud detection system in automated data mining using intelligent agent for better decision making process
    R Jayabrabu, V Saravanan, JJ Tamilselvi
    2014 International Conference on Green Computing Communication and …
    Year: 2014
    Citations: 9
  7. Investigation of hybrid spectrum slicing-wavelength division multiplexing (SS-WDM) in transparent medium for mode division multiplexing applications
    AS Alqahtani, UA Kumar, J Ramakrishnan, P Parthasarathy, A Mubarakali, …
    Optical and Quantum Electronics 55 (3), 243
    Year: 2023
    Citations: 8
  8. A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents
    R Jayabrabu, V Saravanan, K Vivekanandan
    arXiv preprint arXiv:1202.1945
    Year: 2012
    Citations: 8

 

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

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Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Assistant Professor(Sr. Gr.) at Computer Science, Amrita Vishwa Vidyapeetham, Bangalore Campus, India

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Work Experience:

Currently working as Assistant Professor (Sr. Gr.) at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India, since January 2007. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2006 to 2007. Worked as a Guest Lecturer at Govt. Polytechnic College, Wayanad, Kerala, India, from April 2005 to 2006. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2005 to 2006. Worked as a Back Support Engineer at Reliance Infocom, Bangalore, Karnataka, India, from April 2004 to 2005.

Professional Competency:

The user possesses professional competencies including excellent communication, presentation, and interpersonal skills. They also have an aptitude for quality and creative judgment, as well as a flair for fast learning and strong analytical skills.

Areas of interest:

The user’s areas of interest, according to priority, are Computer Science and Engineering, Embedded Systems, Parallel Computing, Artificial Neural Networks, and FPGA.

Academic Profile:

Pursuing a PhD in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Completed an M.Tech in Embedded Systems from Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Holds a Bachelor of Engineering in Computer Science and Engineering from Bahubali College of Engineering, Shravanabelagola, Hassan, Karnataka, India. Completed Higher Secondary education from the Higher Secondary Board of Examination, Thariode, Kalpetta, Wayanad, Kerala, India. Completed Secondary Education (10th class) from GHSS Poothadi, Wayanad, Kerala, India.

Computer Science

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Introduction of Computer Science

Computer Science research stands at the forefront of technological innovation, driving the evolution of our digital world. This dynamic field explores the principles, algorithms, and systems that underpin computers and software, with far-reaching implications for diverse sectors, from artificial intelligence and cybersecurity to data science and human-computer interaction. Computer scientists strive to push the boundaries of what is possible in computing, revolutionizing industries and transforming the way we live and work.

Subtopics in Computer Science

Artificial Intelligence (AI)
AI research focuses on creating machines and algorithms capable of intelligent behavior, including natural language processing, machine learning, computer vision, and robotics.

Cybersecurity
Cybersecurity experts develop techniques and technologies to protect computer systems and networks from threats such as malware, hackers, and data breaches, safeguarding digital assets and privacy.

Data Science and Big Data
Data scientists analyze large datasets to extract valuable insights and patterns, driving decision-making processes across industries, from healthcare to finance.

Human-Computer Interaction (HCI)
HCI researchers study the design and usability of computer interfaces, aiming to create more intuitive and user-friendly digital products and systems.

Cloud Computing and Distributed Systems
This subfield explores the development of distributed computing systems, enabling scalable and efficient storage, processing, and communication across vast networks.

Computer Graphics and Visualization
Computer graphics researchers work on techniques to create, render, and interact with digital images and 3D models, with applications in gaming, design, and scientific visualization.

Software Engineering
Software engineers focus on the systematic design, development, and maintenance of software systems, ensuring reliability, scalability, and maintainability.

Quantum Computing
Quantum computing researchers investigate the potential of quantum mechanics to develop powerful computing systems that can solve complex problems exponentially faster than classical computers.

Natural Language Processing (NLP)
NLP researchers develop algorithms that enable computers to understand, generate, and interact with human language, facilitating chatbots, language translation, and sentiment analysis.

Computer Vision
Computer vision specialists work on algorithms that allow machines to interpret and process visual information, with applications in autonomous vehicles, surveillance, and image recognition.

Computer Science research continues to shape the digital landscape, pushing the boundaries of technology and fostering innovation in fields ranging from healthcare and transportation to entertainment and communication.