Mr. Tihomir Taskov | EEG Network | Best Researcher Award

Published on by Global Network Awards

Mr. Tihomir Taskov | EEG Network | Best Researcher Award

Mr. Tihomir Taskov | BAS, INB | Bulgaria

Tihomir Taskov is a dedicated researcher and consultant with a background in National Security, Defense, and Communication Electronics. He is currently pursuing a Ph.D. at the Institute of Neurobiology, Bulgarian Academy of Sciences. With a strong foundation in project management, he serves as a board member of the “Re:” Art & Science Foundation. Tihomir has gained valuable experience through internships at the Bulgarian Academy of Sciences and NATO CMDR COE, where he contributed as an expert in natural disaster management. His expertise spans system administration, quality control, and scientific mediation, making him a versatile professional in interdisciplinary fields.

Professional Profile:

ORCID

Suitability for Best Researcher Award

Tihomir Taskov is a strong candidate for the Best Researcher Award due to his multidisciplinary contributions to national security, defense, communication electronics, and neurobiology. His work integrates scientific research, project management, and applied expertise in disaster management, making a significant impact in both academic and practical domains.

Education & Experience 🎓💼

🔹 Ph.D. Student – Institute of Neurobiology, Bulgarian Academy of Sciences (2020–Present)
🔹 M.A. in National Security & Defence – NDC “G.S. Rakovski” (2016–2018)
🔹 B.Sc. in Communication Electronics – Physics Faculty, Sofia University (2012–2016)
🔹 Internship – Bulgarian Academy of Sciences, Encyclopedic Article Writing in National Security
🔹 Internship – NATO CMDR COE, Capabilities Section (Expert in Natural Disaster Management)
🔹 Board Member – “Re:” Art & Science Foundation, Project Management

Professional Development 🚀📈

Tihomir Taskov has continuously expanded his expertise in science, security, and technology. His work at the Institute of Neurobiology involves interdisciplinary collaboration between physics and biology, contributing to scientific advancements. As a board member of “Re:” Foundation, he leads the natural science section, ensuring quality audits and efficient project execution. His mediation skills help bridge gaps between scientists and artists, fostering innovation. Additionally, he has hands-on experience in Linux system administration, digital security, and PCB design, enhancing his technical proficiency in both research and technology-driven projects.

Research Focus 🔬📡

Tihomir Taskov’s research interests lie at the intersection of biophysics, neurobiology, and national security. His background in atomic physics and molecular modeling enables him to contribute to biological molecule simulations and system security advancements. His work also extends to cybersecurity in national defense, addressing challenges in data protection and risk assessment. With a strong technical foundation in Linux, digital systems, and networking, he actively explores scientific computing applications in biological and security domains. Through his interdisciplinary approach, he aims to enhance scientific knowledge and technological applications in both biological and defense systems.

Awards & Honors 🏆🎖️

🏅 Certificate of Proficiency in English (IELTS C2)
🏅 Internship Certification – Bulgarian Academy of Sciences
🏅 Internship Certification – NATO CMDR COE, Capabilities Section
🏅 Recognition for Contributions – “Re:” Art & Science Foundation

Publication Top Notes:

  • 📄 Relationship of Individual Task-Specific Functional Brain Connectivity with Sex Differences in Developmental Dyslexia – Tihomir Taskov Plamenov, Juliana Dushanova
  • 📄 Role of Sex in Shaping Brain Network Organization During Reading in Developmental Dyslexia – Tihomir Taskov Plamenov, Juliana Dushanova 📄 A Wireless EEG System for Neurofeedback Training – Tsvetalin Totev, Tihomir Taskov, Juliana Dushanova | 🏛 Applied Sciences
  • 📄 Improving Functional Connectivity in Developmental Dyslexia through Combined Neurofeedback and Visual Training – Tihomir Taskov, Juliana Dushanova
  • 📄 Functional Connectivity in Developmental Dyslexia during Speed Discrimination – Tihomir Taskov, Juliana Dushanova
  • 📄 Reading-Network in Developmental Dyslexia before and after Visual Training – Tihomir Taskov, Juliana Dushanova

 

 

 

Dr. Deepa Beeta thiyam | EEG Signal Processing | Women Researcher Award

Published on by Global Network Awards

Dr. Deepa Beeta thiyam | EEG Signal Processing | Women Researcher Award

Dr. Deepa Beeta thiyam | Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology | India

🎓 Thiyam Deepa Beeta, Ph.D., is a researcher in Biomedical Engineering at Vel Tech University 🏫, with expertise in EEG signal processing 🧠 and Brain-Computer Interface (BCI) systems. She completed her co-directed PhD from VIT University, India 🇮🇳, and University of Seville, Spain 🇪🇸, focusing on motor imagery movement classification. Thiyam’s work aims to design robust algorithms for paralyzed patients using BCI technology 🌐. With extensive research experience and several publications 📚, she also contributes to teaching and mentoring future engineers and scientists 👩‍🏫. Her work is funded by various prestigious grants 💡.

Professional Profile:

ORCID

SCOPUS

Suitability for Women Researcher Award

Thiyam Deepa Beeta is highly suitable for the Women Researcher Award due to her outstanding contributions in the field of Biomedical Engineering, specifically in EEG signal processing and Brain-Computer Interface (BCI) systems. Her expertise in developing algorithms for motor imagery movement classification holds immense potential in improving the quality of life for paralyzed patients. This innovative work directly aligns with advancing healthcare through cutting-edge technologies, which makes her an exemplary candidate.

Education and Experience 🎓💼

  • PhD in Biomedical Engineering (VIT University, India) & Automática, Electrónica y Telecomunicaciones (University of Seville, Spain) (2012–2018)
    Research: EEG Signal Processing for Motor Imagery BCI Systems
  • M.Tech in Biomedical Engineering (VIT University, India) (2008–2010)
  • B.Tech in Biomedical Instrumentation Engineering (Dr. MGR Educational & Research Institute, India) (2004–2008)
  • Associate Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute (2023–Present)
  • Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute (2019–2023)
  • Teaching & Research Associate at VIT University, Vellore (2012–2017)

Professional Development 

Thiyam Deepa Beeta has demonstrated her leadership in Biomedical Engineering 🏥 by mentoring students 👩‍🏫 and contributing to academic journals 📖. As an Associate Professor at Vel Tech University, she teaches subjects like Biomedical Instrumentation and Microcontrollers 💻. Her expertise in EEG signal processing 🧠 and Brain-Computer Interfaces has shaped her research and helped her secure funding for projects 💡. Thiyam has also been a reviewer for international journals and conferences 🌍, such as IEEE Access and Biosignal Processing and Control, making her a prominent contributor to the field 📚.

Research Focus 

Thiyam Deepa Beeta’s research focuses on EEG signal processing 🧠, specifically in Brain-Computer Interface (BCI) systems for motor imagery movements 💡. Her goal is to develop robust algorithms for paralyzed individuals 🦽, using BCI to help them regain control of their motor functions. She works on signal classification techniques 📊 for motor tasks and explores hybrid BCI systems for improved performance. Her research integrates AI 🤖 and machine learning models, especially CNN-based systems for medical applications 💉, pushing the boundaries of biomedical engineering towards life-changing innovations for patients.

Awards and Honors 🏆

  • 🏅 CSIR Travel Grant for attending IEEE TENCON 2016 (Singapore)
  • 🎓 Heritage Erasmus Mundus Scholarship for research at University of Seville, Spain
  • 💡 Vel Tech University Internal Seed Fund for research on Motor Imagery EEG Signal Classification
  • 🏅 Project Funding from Ministry of Economy and Competitiveness, Spain

Publication Top Notes:

  • “A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system,” Scientific Reports  🌐🧠
  • “Motor Imagery EEG Signal Classification Using Optimized Convolutional Neural Network,” Przeglad Elektrotechniczny  ⚡🧠
  • “Performance Analysis of HybridA-BCI Signals Using CNN for Motor Movement Classification,” Traitement du Signal  📊💻 |
  • “Simulational Study for Designing Lung on-Chip,” ICBSII Conference
  • “Biocompatibility of oxide nanoparticles,” Oxides for Medical Applications  📚🧪
  • “Signal Processing for Hybrid BCI Signals,” Journal of Physics: Conference Series )📡🔧
  • “A customized knee brace for osteoarthritis patient using 3D printing,” ICICV Conference