Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

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Dr. Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr Prasanna Kumar G The National Institute of Engineering India

Dr. Prasanna Kumar G has made substantial contributions to the fields of cybersecurity and ubiquitous networks through a diverse range of publications and research activities. His scholarly work spans several key areas including machine learning in cybersecurity, IoT-based networking solutions, and advanced network models for seamless connectivity.

scholar

Academic History šŸŽ“

Ph.D. in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2023).M.Tech in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2011) ā€“ 80.80%.Bachelorā€™s in Computer Science and Engineering, Visvesvaraya Technological University, Coorg Institute of Technology, Ponnampet (2009) ā€“ 58.14%.PUC, Karnataka PU Board, Sarada Vilas PU College, Mysore (2005) ā€“ 62.00%.S.S.L.C., Karnataka Secondary Education Board, Sadvidya High School, Mysore (2003) ā€“ 76.00%.

Technical Skills šŸ› ļø

Programming Languages: C, C++, Java, PHP, C#.Web Technologies: HTML, CSS, JavaScript, PHP.Operating Systems: Windows, Linux.Database Management: MySQL.Scripting: Shell Script

Projects and Patents šŸ—ļø

M.Tech Project: “Simulation of S-Bus Protocol Devices” ā€“ Development and component testing..Patent 1: “Smart Navigation Stick for the Visually Impaired” (Design No. 6295943).Patent 2: “AI-Based Smart Glasses for Visually Impaired” (Application No. 399870-001).

Training and Workshops šŸ§‘ā€šŸ«

Organized and attended various workshops on Python Programming, IoT, Smart Grid Technologies, Network Technologies, and Business Intelligence.

Achievements šŸ…

Guided projects that won awards, such as 1st prize in IEEE Project Expo 2023 and Best Paper Award in NCEIS-2019.

Publication

  • Introduction to Cyber Security
    Authors: S. Jadey, S.C. Girish, K. Raghavendra, H.R. Srinidhi, K.M. Anilkumar
    Book: Methods, Implementation, and Application of Cyber Security Intelligence and Analytics
    Year: 2022

 

  • NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs
    Author: P.K. Gurumallu
    Journal: International Journal of Intelligent Engineering & Systems
    Volume: 15 (5)
    Year: 2022

 

  • Machine Learning in Cybersecurity: A Comprehensive Survey of Data Breach Detection, Cyber-Attack Prevention, and Fraud Detection
    Authors: P. Kumar, D.Y. Gowda, A.M. Prakash
    Book: Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
    Year: 2024

 

  • An Efficient IoT-based Ubiquitous Networking Service for Smart Cities Using Machine Learning Based Regression Algorithm
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: International Journal of Information Technology and Computer Science (IJITCS)
    Volume: 15, Pages 15-25
    Year: 2023

 

  • A Novel Approach by Integrating Dynamic Network Selection and Security Measures to Improve Seamless Connectivity in Ubiquitous Networks
    Authors: P. Kumar G, S. N., R. M. B., S. J., S. B. S., D. Y., M. K. B.
    Journal: International Journal of Wireless and Microwave Technologies (IJWMT)
    Volume: 14 (1)
    Year: 2024

 

  • A Metaheuristic Handover Model Using Network Augmentation and Game Theory for Seamless Connectivity in Heterogeneous Networks
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: Wireless Personal Communications
    Volume: 134 (1), Pages 133-150
    Year: 2024

 

  • Basics of Healthcare Informatics
    Authors: J. Sudeep, M. Goutham, G. Prasannakumar, K. Raghavendra, S.C. Girish
    Book: Intelligent Systems in Healthcare and Disease Identification using Data Science
    Year: 2023

 

 

Conclusion:

Dr. Prasanna Kumar Gā€™s body of work reflects a deep engagement with both theoretical and practical aspects of cybersecurity and network engineering. His research not only contributes to the academic community but also offers practical solutions and frameworks applicable to real-world problems. His innovative approaches to network design, security measures, and machine learning applications are indicative of a forward-thinking researcher dedicated to enhancing technological and scientific understanding.

 

 

Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

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Mr. Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

B.Tech in Information Technology (2004), UGC-NET qualified in Computer Science and Applications (2020). M.Tech in Computer Science and Engineering (2011), with nearly 11 years of teaching experience in Programming, Data Structures, and other core subjects for B.Tech. classes at various institutes.

Publication profile

Scopus

Scholar

šŸŽÆ Objective

To associate with a dynamic institute that provides a platform to update my knowledge and skills in teaching and research, anticipating and leading changes.

šŸ† Achievements

TS-SET 2022: Qualified, Osmania University (March 2023) UGC-NET (June 2020): Qualified in Computer Science and Applications. NPTEL Discipline Star (Dec 2019): Computer Science and Engineering. FET 2010: Qualified, Jawaharlal Nehru Technological University Hyderabad

šŸŽ“ Academic Qualifications

NET: UGC-NET (June 2020) in Computer Science and Applications. M.Tech: Computer Science and Engineering (2011), First Class with Distinction, SSEC Bandlaguda, Hyderabad. B.Tech: Information Technology (2004-08), First Class with Distinction, JITS, Karimnagar, Telangana. 12th Class: Sri Triveni Junior College, First Class, Godavarikhani, Dist: Karimnagar, Telangana. 10th Class: Sri Vishwa Shanthi High School, First Class, NTPC, Dist: Karimnagar, Telangana

šŸ« Teaching Experience

Asst. Prof. in Artificial Intelligence: Anurag University, Ghatkesar, Hyderabad (02-08-2023 to 30-04-2024) Asst. Prof. in Computer Science and Engineering: MVSR Engineering College, Hyderabad (07-09-2022 to 31-07-2023). Sr. Asst. Prof. in Computer Science and Engineering: CVR College of Engineering, Hyderabad (02-06-2014 to 30-08-2022). Asst. Prof. in Computer Science and Engineering: Sree Chaitanya Institute of Technological Sciences, Karimnagar (13-12-2011 to 21-05-2014). Asst. Prof. in Computer Science and Engineering: Nigama Engineering College, Karimnagar (13-12-2011 to 21-05-2014)

šŸ”¬ Research Experience

  • Completed Pre-Ph.D. at SRM Institute of Science and Technology, Kattankulathur, Chennai

Research Excellence Evaluation: Sathya Prakash Racharla

Strengths for the Award:

Academic and Professional Credentials: Educational Background: Sathya Prakash Racharla holds a B.Tech in Information Technology, an M.Tech in Computer Science and Engineering, and has qualified UGC-NET in Computer Science and Applications. Teaching Experience: With over 11 years of experience, he has taught core subjects in various prestigious institutes and has held roles ranging from Assistant Professor to Senior Assistant Professor. Research Contributions: He has published numerous papers in reputed journals and conferences, demonstrating a significant contribution to his field, particularly in wireless sensor networks, machine learning, and data science. Achievements and Certifications: Certifications: Completion of various MOOCs through NPTEL and FDPs through AICTE indicates a commitment to continuous learning and staying updated with the latest advancements. Awards: Recognized for excellence through NPTEL and TS-SET certifications, which highlight his proficiency and dedication to the field of Computer Science. Research Experience: Publications: A strong record of publications in international journals and conferences demonstrates a high level of research activity and impact in areas like wireless sensor networks, machine learning, and data science. Pre-Ph.D. Completion: The completion of Pre-Ph.D. from a reputable institute further indicates his readiness for advanced research and contributes to his research profile.

Areas for Improvement:

Research Grants and Projects: Grants: There is limited information on substantial research grants or major projects led by the candidate. Securing and leading significant research grants can enhance his research profile and funding capabilities. Research Impact: Expanding on the practical impact and applications of his research work could strengthen his overall profile and demonstrate a broader impact in his field. Advanced Research Contributions: Innovation and Patents: While he has a strong publication record, involvement in innovative research leading to patents or groundbreaking technologies could further enhance his profile. Collaborations and Multidisciplinary Research: Engaging in interdisciplinary research and collaborations could provide a more comprehensive approach to complex problems and increase visibility in diverse research communities.

 

Publication top notes

  1. Title: A review on localization problems in wireless sensor network: Algorithmic and performance analysis
    Authors: SP Racharla, J Kalaivani
    Year: 2021

 

  1. Title: An Iterative approach for the Restoration of Motion Blurred Images
    Authors: MSP Racharla, MKS Babu, AK Jakkani
    Year: Not provided

 

  1. Title: Hybridised swarm intelligence approach for multi-objective-based node localisation in wireless sensor network: hybrid glow-worm and cat swarm algorithm
    Authors: SP Racharla, K Jeyaraj
    Year: 2024

 

  1. Title: Review on RBFNN design approaches: A case study on diabetes data
    Authors: R Cheruku, D Tripathi, Y Narasimha Reddy, S Prakash Racharla
    Year: 2018

 

  1. Title: Reducing Overfitting Problem in Machine Learning using L1/4 Activation Function
    Authors: SP Racharla, M Umar, VDS Krishna
    Year: 2020

Conclusion:

Sathya Prakash Racharla is a well-qualified and experienced academic with a solid background in computer science and engineering. His achievements, teaching experience, and research contributions position him as a strong candidate for recognition in research excellence. To further strengthen his profile, focusing on securing significant research grants, engaging in innovative projects, and expanding his impact through interdisciplinary research would be beneficial. His commitment to continuous learning and contributions to his field are commendable and align well with the criteria for excellence in research.

 

seyed matin malakouti | AI | Best Researcher Award

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seyed matin malakouti | AI | Best Researcher Award

Seyed Matin Malakouti is an accomplished Electrical Engineering professional specializing in machine learning and control systems. He holds an MS in Control System Engineering from the University of Tabriz and a BS in Electrical Engineering from Isfahan University of Technology. Malakouti has published extensively on topics including wind power prediction, temperature change modeling, and heart disease classification. His work has appeared in prominent journals such as Energy Exploration & Exploitation and Case Studies in Chemical and Environmental Engineering. He has received recognition for his research, including awards for Best Researcher and nominations for Best Paper. Malakoutiā€™s research interests span applied machine learning, renewable energy, and biomedical signal processing. He is also an active peer reviewer for various scientific journals.

Publication profile

google scholar

šŸŽ“ Education

MS in Electrical Engineering ā€“ Control System Engineering University of Tabriz, Tabriz, Iran (2019 – 2022). BS in Electrical Engineering
Isfahan University of Technology (IUT), Isfahan, Iran (2014 – 2019)

šŸ¢ Professional Experience

Undergraduate Teaching Assistant Dept. of Electrical Engineering, Isfahan University of Technology (IUT) (2015 – 2018) Assisted in teaching core courses such as Calculus I, II, Electrical Circuit I, II, and Electronics II.

šŸ† Awards & Fellowships

Best Researcher, International Conference on Cardiology and Cardiovascular Medicine (2023). Nominated for Best Paper Award, International Research Awards on Mathematics and Optimization Methods (2023)

šŸ‘Øā€šŸ« Teaching Experience

Spring 2018: Calculus I, Teaching Assistant. Spring 2017: Calculus II, Teaching Assistant. Fall 2016: Electrical Circuit I, Teaching Assistant. Spring 2015: Electrical Circuit II, Teaching Assistant

Research for Best Researcher Award: Seyed Matin Malakouti

šŸŒŸ Strengths for the Award

  1. Diverse Research Contributions: Seyed Matin Malakouti has an extensive list of publications covering a broad range of topics, from wind power generation and temperature change prediction to heart disease classification and asteroid detection. This indicates a high level of versatility and a strong ability to apply machine learning across different domains.
  2. Cutting-Edge Techniques: His work utilizes advanced machine learning techniques such as CNN-LSTM, ensemble methods, and Bayesian optimization. This demonstrates a commitment to leveraging state-of-the-art methods to address complex problems.
  3. High-Impact Publications: Malakouti has published in high-impact journals such as Energy Exploration & Exploitation, Biomedical Signal Processing and Control, and Case Studies in Chemical and Environmental Engineering. His work is also recognized by prestigious conferences and has received nominations for awards.
  4. Peer Review Engagement: Active involvement in peer review for numerous reputable journals reflects his expertise and recognition within the academic community.
  5. Awards and Recognition: Being named the Best Researcher at an international conference and receiving nominations for best paper awards highlights his research’s quality and impact.

šŸ” Areas for Improvement

  1. Broader Impact Assessment: While his technical contributions are substantial, including a focus on how his research impacts broader societal and industrial contexts could further enhance his profile. Emphasizing real-world applications and collaborations could demonstrate the practical significance of his work.
  2. Interdisciplinary Collaboration: Engaging in interdisciplinary projects could further enrich his research profile. Collaborating with researchers from other fields, such as environmental science or healthcare, could lead to innovative solutions and increase the impact of his work.
  3. Public Engagement and Outreach: Increasing efforts in public science communication and outreach could help bridge the gap between academic research and public understanding. Engaging with non-academic audiences through popular science articles, talks, or educational programs could be beneficial.

Publication top notes

  1. Title: Predicting wind power generation using machine learning and CNN-LSTM approaches
    Citations: 46
    Year: 2022
    Journal: Wind Engineering 46(6), 1853-1869

 

  1. Title: Heart disease classification based on ECG using machine learning models
    Citations: 39
    Year: 2023
    Journal: Biomedical Signal Processing and Control 84, 104796

 

  1. Title: Utilizing time series data from 1961 to 2019 recorded around the world and machine learning to create a Global Temperature Change Prediction Model
    Citations: 37
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 7, 100312

 

  1. Title: The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
    Citations: 32
    Year: 2023
    Journal: Cleaner Engineering and Technology 15, 100664

 

  1. Title: Use machine learning algorithms to predict turbine power generation to replace renewable energy with fossil fuels
    Citations: 26
    Year: 2023
    Journal: Energy Exploration & Exploitation 41(2), 836-857

 

  1. Title: Evaluation of the application of computational model machine learning methods to simulate wind speed in predicting the production capacity of the Swiss basel wind farm
    Citations: 21
    Year: 2022
    Journal: 2022 26th International Electrical Power Distribution Conference (EPDC), 31-36

 

  1. Title: Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation
    Citations: 19
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 8, 100351

 

  1. Title: Estimating the output power and wind speed with ML methods: a case study in Texas
    Citations: 17
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 7, 100324

 

  1. Title: Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in Predicting Wind Speed and Energy Generation
    Citations: 15
    Year: 2023
    Journal: Intelligent Systems with Applications 19, 200248

 

  1. Title: AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area
    Citations: 15
    Year: 2022
    Journal: e-Prime-Advances in Electrical Engineering, Electronics and Energy 2, 100084

 

  1. Title: Prediction of wind speed and power with LightGBM and grid search: case study based on Scada system in Turkey
    Citations: 8
    Year: 2023
    Journal: International Journal of Energy Production and Management 8.

 

šŸ† Conclusion

Seyed Matin Malakouti is a strong candidate for the Research for Best Researcher Award due to his diverse and impactful research contributions, utilization of advanced machine learning techniques, and recognition within the academic community. By focusing on broader impact, interdisciplinary collaboration, and public engagement, he can further enhance his research profile and increase the overall impact of his work.