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

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

Prof Dr. Tony Quek | Networking | Best Researcher Award

Prof Dr. Tony Quek | Networking | Best Researcher Award

Professor at Networking , Singapore University of Technology and Design, Singapore

👨‍🎓He 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.

🔬 He 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:

Education:

Prof. Dr. Tony Quek pursued his academic journey with a Bachelor of Engineering in Electrical & Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, graduating in 1998. He furthered his studies at the same institution, completing a Master of Engineering in Information Processing from April 1998 to March 2000, focusing on Multiuser Detection for DS-CDMA Mobile Communication Systems under the guidance of Professor Hiroshi Suzuki. Dr. Quek’s academic pursuits led him to Massachusetts Institute of Technology (MIT), Cambridge, MA, where he obtained his Ph.D. in Electrical Engineering and Computer Science from September 2002 to February 2008. His doctoral research centered on Efficient Approaches to Robust and Cooperative Wireless Network Design, mentored by Professor Moe Z. Win.

Research Interest:

Dr. Tony Quek’s general research interests revolve around applying mathematical, optimization, learning, and statistical theories to various communication, networking, signal processing, and resource allocation problems. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G technology. He explores innovative approaches to enhance the efficiency, reliability, and intelligence of communication systems, with a focus on advancing the capabilities of future wireless networks.

Awards & Honors:

Dr. Tony Quek has received numerous honors and awards for his outstanding contributions to the field of electrical engineering and computer science. In 2023 and 2022, he was recognized as one of the World’s Top 2% Scientists. In 2022, he was elected as a Fellow of the Academy of Engineering Singapore and received the IEEE Signal Processing Society Best Paper Award. The year 2021 brought further accolades, including the OpenGov Recognition of Excellence and another recognition as one of the World’s Top 2% Scientists. In 2020, Dr. Quek was awarded the Nokia Visiting Professorship, recognized as a Clarivate Analytics Highly Cited Researcher, and received the IEEE Stephen O. Rice Prize in the Field of Communications Theory, among other honors. His contributions have been consistently recognized, including being elected as an IEEE Fellow in 2018 for his contributions to heterogeneous and wireless networks. Dr. Quek has also served as a Distinguished Lecturer for the IEEE Communications Society.

Experience:

Dr. Tony Quek has held several significant roles in academia and research. Since December 2022, he has served as the STEngineering Distinguished Professor at Singapore Technologies Engineering. Prior to this, Dr. Quek was appointed as the Director of the Future Communications R&D Programme at the Singapore University of Technology and Design (SUTD) in May 2021. He also served as the Interim Programme Director for the Design and Artificial Intelligence Programme at SUTD from April 2020 to December 2020. In March 2020, Dr. Quek was appointed as a Full Professor in the Information Systems Technology and Design Pillar at SUTD, where he currently holds the position of Head of Pillar. His work in these roles has contributed significantly to the advancement of research and education in the field of electrical engineering and computer science.

Teaching Experience:

Dr. Tony Quek has an extensive teaching experience at the Singapore University of Technology and Design (SUTD) in the ISTD and ESD Pillars. Since January 2013, he has taught several courses including “Modelling the Systems World” (Term 3, 2013, 2014, 2015), “The Digital World” (Term 3, 2014, 2016), and “Introduction to Probability and Statistics” (Term 5, 2018, 2019). His teaching contributions have been instrumental in shaping the learning experiences of students in the areas of modelling, digital systems, and probability and statistics, helping them develop a strong foundation in these subjects.

Publications:

  1. Enhanced intercell interference coordination challenges in heterogeneous networks
    • Authors: D Lopez-Perez, I Guvenc, G De la Roche, M Kountouris, TQS Quek, …
    • Citations: 1306
    • Year: 2011
  2. Federated learning with differential privacy: Algorithms and performance analysis
    • Authors: K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
    • Citations: 1244
    • Year: 2020
  3. Offloading in mobile edge computing: Task allocation and computational frequency scaling
    • Authors: TQ Dinh, J Tang, QD La, TQS Quek
    • Citations: 881
    • Year: 2017
  4. Energy efficient heterogeneous cellular networks
    • Authors: YS Soh, TQS Quek, M Kountouris, H Shin
    • Citations: 676
    • Year: 2013
  5. Sensor OpenFlow: Enabling software-defined wireless sensor networks
    • Authors: T Luo, HP Tan, TQS Quek
    • Citations: 614
    • Year: 2012
  6. Scheduling policies for federated learning in wireless networks
    • Authors: HH Yang, Z Liu, TQS Quek, HV Poor
    • Citations: 522
    • Year: 2019

Mr. Sairoel Finecomess | Optimization of Mobile Robot | Best Researcher Award

Mr. Sairoel Finecomess | Optimization of Mobile Robot | Best Researcher Award

PHD candidate student at Optimization of Mobile Robot, Peter the great saint peterburg polytechnic university, Ethiopia

👨‍🎓He 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.

🔬 He 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:

Background:

Felipe is interested in mechatronics engineering, an interdisciplinary field combining mechanical, electrical, and computer engineering. He was born in Mizan Aman, Ethiopia, on August 30, 1990. For his education, he attended Mizan 2 and Mizan 1 for elementary and primary education from 2002 to 2010. From 2011 to 2013, he attended Mizan Aman High School and Addis Ababa Bright Future for his high school education. Felipe holds a five-year Bachelor of Science degree in Electromechanical (Mechatronics) Engineering from Hawassa University, obtained in 2016, and a Master of Science degree in Mechatronics Engineering from Addis Ababa Science and Technology University, earned in 2019. Currently, Felipe is a doctoral candidate at Peter the Great Saint Petersburg Polytechnic University in Saint Petersburg, Russia. 📚

Work Experience:

Felipe worked as an Assistant Lecturer from October 20, 2016, to October 25, 2017, and as a Lecturer from October 10, 2019, to October 15, 2022, at Mizan Tepi University, Tepi, Ethiopia. 🏫

Personal Skills:

Felipe is fluent in English and has conducted research and peer review work in science. 🌍

Recent Work:

Felipe’s recent work includes optimizing the performance of wheeled mobile robots for use in agriculture, utilizing an Internet of Things (IoT) device for intelligent control in agriculture, hybridized renewable energy for smart vehicle-to-grid (V2G) systems, assessing smart mechatronics applications in agriculture, optimizing automobile active suspension systems, analyzing a coffee husk fired cogeneration plant in South Western Ethiopia coffee processing industries, and designing a fuzzy-based proportional-integral-derivative controller for elbow-forearm rehabilitation robots. 🤖

Publications:

  • Analysis of a coffee husk fired cogeneration plant in South Western Ethiopia coffee processing industries
    • Authors: S Amertet, Y Mitiku, G Belete
    • Year: 2021
    • Citations: 11
    • Journal: Low Carbon Economy 12 (1), 42-62
  • Quarter car active suspension system design using optimal and robust control method
    • Author: M Jibril
    • Year: 2020
    • Citations: 10
  • Optimization of automobile active suspension system using minimal order
    • Authors: SA Finecomes, FL Gebre, AM Mesene, S Abebaw
    • Year: 2022
    • Citations: 3
    • Journal: International Journal of Electrical and Computer Engineering (IJECE) 12 (3)
  • Design of optimal linear quadratic regulator (LQR) control for full car active suspension system using reduced order
    • Author: S Amertet
    • Year: 2019
    • Citations: 3
    • Source: National Academic Digital Repository of Ethiopia
  • Assessment of Smart Mechatronics Applications in Agriculture: A Review
    • Authors: S Amertet, G Gebresenbet, HM Alwan, KO Vladmirovna
    • Year: 2023
    • Citations: 2
    • Journal: Applied Science 13 (7315), 20
  • Position control of a solenoid based linearly movable armature system using robust control technique
    • Authors: M Jibril, M Tadese, E Alemayehu
    • Year: 2020
    • Citations: 2
  • Modelling Design and Control of an Electromechanical Mass Lifting System using Optimal and Robust control Method
    • Authors: M Jibril, M Tadese, E Alemayehu
    • Year: 2020
    • Citations: 2
  • Design and analysis of fuzzy based proportional-integral-derivative controller for elbow-forearm rehabilitation robot
    • Authors: A Addisie, R Weldegiorgis, S Amertet
    • Year: 2020
    • Citations: 1
    • Journal: International Journal of Image, Graphics and Signal Processing 12 (4), 47-63
  • Optimizing the performance of a wheeled mobile robots for use in agriculture using a linear-quadratic regulator
    • Authors: S Amertet, G Gebresenbet, HM Alwan
    • Year: 2024
    • Source: Robotics and Autonomous Systems, 104642
  • Utilizing an Internet of Things (IoT) Device, Intelligent Control Design, and Simulation for an Agricultural System
    • Authors: HMA Sairoel Amertet Finecomess, Girma Gebresenbet
    • Year: 2024
    • Journal: Internet of Things 5 (1), 21