Mrs. Inajara Rutyna | Online Monitoring | Best Researcher Award

Posted on by Global Sensor Awards

Mrs. Inajara Rutyna | Online Monitoring | Best Researcher Award

Mrs. Inajara Rutyna | Online Monitoring | Warsaw University of Technology | Poland

Mrs. Inajara Rutyna is a distinguished researcher in the field of Artificial Intelligence and Renewable Energy Systems, currently pursuing her Ph.D. in Automation, Electronics, and Electrical Engineering at the Warsaw University of Technology, Poland. Her academic foundation is built on a Master’s degree in Numerical Methods in Engineering and a Bachelor’s degree in Industrial Mathematics from the Universidade Federal do Paraná, Brazil. Throughout her academic and professional journey, Mrs. Inajara Rutyna has consistently demonstrated exceptional proficiency in mathematical modeling, computational intelligence, and optimization methods. Her professional experience encompasses diverse roles, including AI Development Specialist at IDEAS NCBR Sp. z o.o., where she developed intelligent algorithms and Python-based models for renewable energy forecasting, and Mathematical Modeller and Data Scientist at the National Centre for Nuclear Research, Poland, contributing to mathematical frameworks for sustainable power systems. Additionally, her earlier engagements as a Game Economy Designer at Rage Quit Games and as a Project and Process Analyst at Segula do Brasil Engenharia e Tecnologia reflect her versatility in applying data-driven modeling to industrial, gaming, and energy contexts. Mrs. Rutyna’s research interests lie primarily in Artificial Intelligence applications for renewable energy forecasting, computational fluid dynamics, optimization algorithms, and machine learning-based energy modeling. Her technical skills include advanced programming in Python, MATLAB, and Fortran, as well as expertise in numerical analysis, data science, and algorithmic development. She has authored and co-authored multiple IEEE and Scopus-indexed publications focusing on energy efficiency prediction, evaluation metrics for wind power, and AI-based forecasting. She is an active member of professional bodies such as the IEEE, contributing to international research collaborations and scientific discussions on sustainable technology innovation.

Professional Profiles: ORCID

Featured Publications 

  1. Rutyna, I. (n.d.). Gated lag and feature selection for day-ahead wind power forecasting using on-site SCADA data. IEEE. (Citations: 42)

  2. Rutyna, I. (n.d.). Efficiency analysis of k-nearest neighbors machine learning method for 10-minutes ahead forecasts of electric energy production at an onshore wind farm. Elsevier. (Citations: 38)

  3. Rutyna, I. (n.d.). Evaluation metrics for wind power forecasts: A comprehensive review and statistical analysis of errors. IEEE Access. (Citations: 57)

  4. Rutyna, I. (n.d.). Polynomial interpolation with repeated Richardson extrapolation to reduce discretization error in CFD. Springer. (Citations: 31)

  5. Rutyna, I. (n.d.). Stochastic hybrid optimization methods for renewable energy forecasting and grid stability. IEEE Transactions on Sustainable Energy. (Citations: 29)

Ms. Sidra Anwar | Online Monitoring | Best Researcher Award

Posted on by Global Sensor Awards

Ms. Sidra Anwar | Online Monitoring | Best Researcher Award 

Ms. Sidra Anwar | Online Monitoring | Memorial University of Newfoundland | Canada

Ms. Sidra Anwar is a distinguished Ph.D. Student in the Department of Electrical and Computer Engineering at the Memorial University of Newfoundland, Canada, where she specializes in MedTech and Embedded Security. Her research centers on lightweight cryptography, privacy-preserving health data transmission, and energy-efficient security protocols for Internet of Medical Things (IoMT) devices. Ms. Sidra Anwar holds a Bachelor’s degree in Software Engineering from Fatima Jinnah Women University, Rawalpindi, and a Master’s degree in Project Management from COMSATS Institute of Information Technology, Islamabad. She has demonstrated strong academic excellence through her ongoing doctoral work focusing on privacy and security of IoMT devices under the supervision of Prof. Jonathan Anderson. Professionally, Ms. Sidra Anwar has held multiple research and teaching positions, including Embedded Security Researcher at MetaCrust Services Ltd., Innovation Metrics Coordinator at the Technology Transfer and Commercialization Office (TTCO), and Teaching Assistant at Memorial University of Newfoundland. She previously served as an Associate Lecturer in Computer Science and Communication Expert at the Government College Women University, Sialkot, Pakistan, where she contributed to technology education and institutional development. Her research interests encompass MedTech cybersecurity, IoT protocol design, formal verification, and applied data security, with a focus on integrating energy efficiency into secure healthcare communication systems. She has co-authored several peer-reviewed publications presented at leading conferences and indexed in IEEE and Scopus, covering topics such as lightweight encryption for medical wearables, secure IoT data communication, and privacy-driven architectures for contact tracing platforms.

Professional Profile: ORCID 

Selected Publications 

  1. Anwar, S., & Anderson, J. (2025). Empirical evaluation and reclassification of cryptographic algorithms for energy-efficient secure communication in medical IoT devices. Privacy, Security & Trust (PST 2025). Citations: 5

  2. Anwar, S., & Anderson, J. (2025). Privacy-driven classification of contact tracing platforms: Architecture and adoption insights. Cryptography, Accepted September 2025. Citations: 3

  3. Anwar, S., Hendi, M., & Anderson, J. (2025). Energy-conscious and regulation-ready security protocol for wearable medical devices: From formal proofs to deployment. CPSIoTSec 2025. Citations: 2

  4. Anwar, S., & Anderson, J. (2024). Enhancing security for low-powered medical wearable devices through optimized lightweight encryption. NECEC 2024. Citations: 4

  5. Anwar, S., Anayat, S., Butt, S., Saady, M., Saad, M., & Anderson, J. (2020). Privacy-oriented analysis of mobile contact tracing protocols and mechanisms. NECEC 2020. Citations: 9