Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

Prof. Dr. Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

Professor, University of Food Technologies, Bulgaria

Atanaska D. Bosakova-Ardenska is a Bulgarian researcher specializing in parallel algorithms, image processing, food quality evaluation, programming, and algorithms. She actively contributes to multidisciplinary fields through her innovative research and collaborations. With a focus on combining computer vision and food science, her work has earned recognition in academia and industry alike. 🖥️🍴📊

Publication Profile

ORCID

Education 🎓

Atanaska holds a robust academic background in computer science and engineering. Her educational journey has laid the foundation for her expertise in designing advanced algorithms and exploring their applications in practical domains like food quality assessment and educational tools. 📘💡

Experience 🌍

With years of experience in research and academia, Atanaska has published extensively in high-impact journals and contributed to international conferences. Her work bridges computer vision, parallel processing, and innovative educational methodologies, showcasing her versatility in addressing real-world challenges. 🔬🌐

Research Interests 🔎

Atanaska’s research revolves around parallel algorithms, image processing, and their applications in food quality evaluation. She is also keenly interested in advancing educational programming tools and algorithm development, striving to integrate theory with practical applications. 🧩📷📚

Awards 🏆

Throughout her career, Atanaska has received accolades for her contributions to computer science and food quality evaluation. Her commitment to interdisciplinary research and educational innovation has been recognized by peers and institutions globally. 🌟🥇

Publications 📚

Performance Evaluation of Recursive Mean Filter Using Scilab, MATLAB, and MPI (Message Passing Interface)
Published in: Engineering Proceedings, 2024-08
DOI: 10.3390/engproc2024070033

Design and Implementation of Educational Game Using Crossword Principles
Published in: Engineering Proceedings, 2024-07
DOI: 10.3390/engproc2024070012

Recent Trends in Computer Vision for Cheese Quality Evaluation
Published in: Engineering Proceedings, 2024-01
DOI: 10.3390/engproc2024060012

Application of Image Analysis Techniques for Quality Assessment of Swiss-type Cheese
Presented at: 2021 International Conference on Information Technologies (InfoTech), 2021-09-16
DOI: 10.1109/infotech52438.2021.9548462

Najmeh Zamani | Engineering | Best Researcher Award

Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.