Mr. Sanjar Mirzakhalilov | Athletic Injuries Awards | Best Researcher Award

Mr. Sanjar Mirzakhalilov | Athletic Injuries Awards | Best Researcher Award

Mr. Sanjar Mirzakhalilov, Tashkent University of Information Technologies, Uzbekistan

Mirzakhalilov is an Associate Professor at Tashkent University of Information Technologies, where he has established a distinguished career in research and teaching. With a Master of Science in Information Technology, he specializes in developing algorithms and models for the intelligent analysis of athletes’ medical data, contributing over 40 scientific articles and theses to the field. His notable achievements include the publication of two textbooks and five methodological guides, demonstrating his commitment to advancing knowledge in sports medicine and data analysis. Proficient in network design, computer hardware, biotechnical systems, IoT technologies, and artificial intelligence, Mirzakhalilov aims to enhance athlete health monitoring through the integration of AI in sports medicine. His extensive experience in academia includes various roles, from Deputy Dean to Senior Lecturer, and his career reflects a dedication to fostering innovation and excellence in the application of technology in healthcare.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Mirzakhalilov is an exemplary candidate for the Best Researcher Award, holding the position of Associate Professor at Tashkent University of Information Technologies. His extensive experience in research and teaching, combined with his specialization in algorithms and models for intelligent analysis of athletes’ medical data, positions him as a leader in his field.

Education 🎓

  • Master of Science in Information Technology
    Tashkent University of Information Technologies, Tashkent (2010)
  • Bachelor’s Degree
    Tashkent University of Information Technologies (2004 – 2008)
  • Master’s Student
    Tashkent University of Information Technologies (2008 – 2010)

Work Experience 💼

  • Associate Professor
    Tashkent University of Information Technologies (09/2010 – Present)
  • Senior Lecturer
    Department of Information and Computer Technologies and Programming, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (2021 – 2022)
  • Deputy Dean
    Joint Uzbek-Belarusian Faculty of Information Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (2022 – 2023)
  • Deputy Dean
    Correspondence Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (2023 – Present)
  • Senior Lecturer
    Department of Computer Systems, Tashkent University of Information Technologies (2017 – 2021)
  • Senior Lecturer
    Department of Computer Systems, Tashkent University of Information Technologies (2016 – 2017)
  • Deputy Dean
    Faculty of Computer Engineering, Tashkent University of Information Technologies (2014 – 2016)
  • Assistant of the Department
    Computer Systems, Tashkent University of Information Technologies (2010 – 2014)

Achievements 🏆

  • Scientific Contributions:
    • Over 40 scientific articles and theses published
    • 2 textbooks authored
    • 5 methodological guides published
  • Proficiency in:
    • Network design and construction
    • Computer hardware
    • Biotechnical systems hardware and software
    • Sports medicine
    • IoT technologies
    • Artificial intelligence

Career Goal 🎯

To advance the integration of AI in sports medicine for enhanced athlete health monitoring.

Publication Top Notes:

Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices

Lightweight Deep Learning Framework for Accurate Detection of Sports-Related Bone Fractures

Dynamic Focus on Tumor Boundaries: A Lightweight U-Net for MRI Brain Tumor Segmentation

GAN-Based Novel Approach for Generating Synthetic Medical Tabular Data

A Multi-Scale Approach to Early Fire Detection in Smart Homes

Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency

 

Reza Shokri | Neural Recording | Best Paper Award

Mr. Reza Shokri | Neural Recording | Best Paper Award

PhD at University of Genova, Italy

Reza Shokri, born in July 1992, is an accomplished electrical engineer specializing in integrated circuit design and biomedical applications. With a strong academic background and a passion for innovation, Reza has consistently excelled in his field, demonstrating leadership through both research and teaching roles. Currently pursuing his PhD at the University of Genova, he continues to develop cutting-edge technologies that bridge the gap between engineering and medicine. Reza’s work is characterized by its relevance to neural recording systems, showcasing his commitment to improving healthcare through engineering solutions.

Profile:

ORCID Profile

Strengths for the Award:

  1. Outstanding Academic Performance: Reza has demonstrated exceptional academic achievement, being ranked 2nd in a highly competitive PhD entrance exam in Iran, and 65th among over 30,000 participants in the MSc entrance exam. This reflects both his intellect and dedication to his field.
  2. Diverse Research Experience: His research spans critical areas such as DC-DC converters, low-power biomedical ADCs, and neural recording systems. This breadth showcases his versatility and ability to tackle complex problems in engineering.
  3. Significant Contributions to Publications: Reza has authored and co-authored several noteworthy publications, including articles in reputable journals and conference proceedings. His work on a VCO-based ADC for neural recording applications indicates a strong focus on practical and impactful research.
  4. Teaching and Mentoring: His experience as a teaching assistant at reputable institutions highlights his ability to communicate complex concepts and contribute to the education of future engineers.
  5. Relevant Work Experience: His professional roles in both academic and industrial settings, particularly in designing analog integrated circuits for biomedical applications, demonstrate practical skills and a commitment to applying research in real-world contexts.
  6. Collaborative Research Efforts: Reza has effectively collaborated with multiple researchers and professors, indicating strong teamwork skills and an ability to contribute to multidisciplinary projects.

Areas for Improvement:

  1. Language Proficiency: While Reza has an intermediate level of English, enhancing his proficiency could improve his ability to engage with a broader international audience and contribute to global research discussions.
  2. Broader Impact Assessment: Although his research is innovative, focusing more on the societal and economic impacts of his work could enhance its relevance and applicability.
  3. Networking and Conferences: Increasing participation in international conferences and workshops can provide Reza with more opportunities to present his work, receive feedback, and establish connections with other researchers.
  4. Leadership Roles: Pursuing leadership positions in research groups or committees could help him develop skills in project management and strategic planning.

Education:

Reza began his academic journey in Electrical Engineering at Tabriz University, earning his BSc with a thesis on “Implementation of Digital Pen with an Accelerometer.” He later pursued an MSc at the University of Tehran, focusing on circuit design for neural recording systems. His commitment to furthering his expertise led him to the University of Genova, where he is currently working towards a PhD. His education has equipped him with a solid foundation in both theoretical knowledge and practical skills, essential for addressing complex engineering challenges.

Experience:

Reza’s professional experience spans multiple roles in both academic and industry settings. He currently works as an Analog Integrated Circuit Designer at the University of Tehran, focusing on the design and layout of multipolar waveform stimulators for deep brain stimulation systems. Previously, he served as a Hardware Designer at Niktek Company, where he designed a high-resolution arbitrary waveform stimulator. His experience also includes significant projects on DC-DC converters and automotive control modules, showcasing his versatile engineering skills and commitment to advancing technology in biomedical applications.

Awards and Honors:

Reza has received numerous accolades for his academic and research excellence. He ranked 2nd out of over 1500 participants in the Electrical Engineering PhD Entrance Exam in Iran and achieved 65th among more than 30,000 in the MSc Entrance Exam. These accomplishments reflect his dedication and proficiency in electrical engineering. Reza’s commitment to advancing knowledge in his field has not only earned him recognition but also inspires his peers and future engineers to strive for excellence.

Research Focus:

Reza’s research focuses on the intersection of electrical engineering and biomedical applications, particularly in neural recording and stimulation systems. His work includes the design of low-power, high-performance analog-to-digital converters and DC-DC converters tailored for biomedical applications. He is also exploring quantum phase estimation algorithms, reflecting his innovative approach to addressing modern engineering challenges. Reza’s research aims to enhance medical technologies and improve patient outcomes, contributing significantly to the field of biomedical engineering.

Publication Top Notes:

  • A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
  • Highly Linear, Digital OTA With Modified Input Stage
  • Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation
  • A Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
  • A Buck Converter Based on Dual Mode Asynchronous Pulse Width Modulator

Conclusion:

Reza Shokri possesses the qualifications, research experience, and academic achievements that make him a strong candidate for the Best Researcher Award. His dedication to advancing knowledge in electrical engineering, particularly in biomedical applications, is commendable. By addressing areas for improvement, such as enhancing language skills and increasing networking opportunities, Reza can further amplify his contributions to the field and increase his impact as a researcher. His potential for future innovation and leadership in electrical engineering positions him as a valuable asset to the academic and scientific community.