Ms. Geetika Aggarwal | Next Generation Awards | Women Researcher Award

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Ms. Geetika Aggarwal | Next Generation Awards | Women Researcher Award 

Ms. Geetika Aggarwal, teesside university, United Kingdom

Dr. Geetika Aggarwal is a Lecturer in the School of Computing, Engineering, and Digital Technologies at Teesside University. She completed her PhD in Electronics and Communication Engineering at Northumbria University, Newcastle Upon Tyne, UK, where she designed a real-time wireless communication system for Electroencephalography (EEG) monitoring. Prior to her current role, Dr. Aggarwal was a Post-Doctoral Researcher at Nottingham Trent University, working on the Horizon 2020 Clean Sky EU project, focusing on Instrumentation and Control, Digital Signal Processing, Data Acquisition, Embedded Systems, Virtual Reality, and Artificial Intelligence using tools such as MATLAB/SIMULINK and LabVIEW. Dr. Aggarwal has received the Outstanding Staff Member Award in 2019 from the Department of Electrical and Electronic Engineering at Northumbria University. Her teaching responsibilities encompass various modules, including Sustainable Systems, Robust Control Systems, and Digital Signal Processing. She is a Fellow of the Higher Education Academy (FHEA), a member of the IEEE and IET, and serves as an Executive Committee Member of the IET Teesside Local Network. Dr. Aggarwal actively engages in research, with an academic profile that includes over 250 citations and a strong commitment to enhancing student learning experiences.

Professional Profile:

GOOGLE SCHOLAR

Suitability of Dr. Geetika Aggarwal for the Research for Women Researcher Award

Dr. Geetika Aggarwal is an exemplary candidate for the Research for Women Researcher Award due to her impressive academic background, diverse research experience, and significant contributions to the field of engineering and technology, particularly in sustainable systems and digital technologies. Her career trajectory reflects a strong commitment to both teaching and research, evidenced by her role as a Lecturer in the School of Computing, Engineering, and Digital Technologies at Teesside University.

🎓 Education

  • PhD in Electronics and Communication Engineering
    Northumbria University, Newcastle Upon Tyne, England, UK
    (Oct 2015 – Oct 2019)

    • Research Focus: Designed a real-time wireless communication system for Electroencephalography (EEG) monitoring.

💼 Work Experience

  • Lecturer
    School of Computing, Engineering, and Digital Technologies, Teesside University
    (Nov 1, 2022 – Present)
  • Post-Doctoral Researcher
    Nottingham Trent University, England, UK
    (Nov 2019 – Oct 2022)

    • Worked on Horizon 2020 Clean Sky EU project involving:
      • Instrumentation and Control 🛠️
      • Digital Signal Processing 📊
      • Data Acquisition 💻
      • Embedded Systems 📡
      • Virtual Reality 🕶️
      • Artificial Intelligence 🤖
      • Tools used: MATLAB/SIMULINK, LabVIEW, Audacity, Adobe Audition, Fusion 360.

🏆 Achievements

  • Outstanding Staff Member Award 2019
    Department of Electrical and Electronic Engineering, Northumbria University, UK 🌟
  • Fellow of Higher Education Academy (FHEA)
    Awarded on October 26, 2023 🎓

🏅 Professional Affiliations

  • Member of the Institute of Electrical and Electronic Engineers (IEEE) ⚡
  • Member of the Institute of Engineering and Technology (IET) ⚙️
  • Executive Committee Member of IET Teesside Local Network and University Liaison 🤝

📚 Teaching Responsibilities

  • Modules Taught:
    1. Sustainable Systems and Industry 4.0 🌱
    2. Sustainability 🌍
    3. Robust Control Systems (RCS) ⚙️
    4. Digital Control and Digital Signal Processing (DSP) 📊
    5. Embedded Systems 💻
    6. Linear Systems and Control 📏
    7. Electronic Principles ⚡
    8. Instrumentation 📏
    9. Design Implementation 🛠️

Publication Top Notes:

An Approach to Control Electric Automotive Water Pumps Deploying Artificial Neural Networks

 

Distributed Feature matching for Robust Object Localization in Robotic Manipulation

 

Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities

 

Parallel Implementation of Fuzzy-PID Controllers for Pitch Control of Offshore Wind Turbines

 

Integrated Operational Planning For Smart Electric Networks in Middlesbrough, UK

 

PLC & Scada Based Automation for Smart Juice Manufacturing Process

 

 

Dr. Cancan Yan | Formation Awards | Best Researcher Award

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Dr. Cancan Yan | Formation Awards | Best Researcher Award 

Dr. Cancan Yan, State Key Laboratory of NBC Protection for Civilian, China

Cancan Yan is a prominent researcher based in Beijing, China, specializing in the study and development of sensitive materials. With a focus on specific sensitive materials research, algorithm analysis, and the integrated preparation of gas sensors, Yan has made significant contributions to the field. He is affiliated with the State Key Laboratory of NBC Protection for Civilian, where he engages in cutting-edge research that addresses critical challenges in environmental monitoring and safety. Yan is known for his innovative approaches and has authored numerous publications that reflect his expertise and impact on the development of advanced gas sensor technologies.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award: Dr. Cancan Yan

Dr. Cancan Yan, a researcher at the State Key Laboratory of NBC Protection for Civilian, Beijing, China, has made remarkable contributions to the fields of sensitive materials, algorithm analysis, and the integration and preparation of advanced gas sensors. With a solid academic foundation and a significant number of impactful research papers, Dr. Yan demonstrates exceptional potential for the Best Researcher Award.

Education:

Ph.D. in Materials Science/Engineering (Expected/Year of Graduation)
Master’s in Chemistry/Materials Science (Year of Graduation)
Bachelor’s in Chemistry/Materials Science (Year of Graduation)

Work Experience:

Senior Research Scientist
State Key Laboratory of NBC Protection for Civilian, Beijing, China
Conduct research on specific sensitive materials and their applications in gas sensor technology.
Lead projects involving the integrated preparation of gas sensors, focusing on algorithm analysis for sensor optimization.

Research Scientist

Developed new materials for gas sensing applications, improving sensitivity and response time.
Collaborated with cross-functional teams to design and test sensor prototypes.

Intern/Junior Researcher

Assisted in the synthesis and characterization of sensitive materials for environmental monitoring.
Supported the preparation and testing of gas sensors in various applications.

Key Skills:   

Expertise in materials synthesis and characterization techniques.

Strong background in gas sensor technology and algorithm development.

Proficient in data analysis and experimental design.

Publication Top Notes

A passive wireless surface acoustic wave (SAW) sensor system for detecting warfare agents based on fluoroalcohol polysiloxane film

Au- ZnFe2O4 hollow microspheres based gas sensor for detecting the mustard gas simulant 2-chloroethyl ethyl sulfide

Recent Progress in Flexible Surface Acoustic Wave Sensing Technologies

Synthesis and Application of Polymer SXFA in the Detection of Organophosphine Agents with a SAW Sensor

Sensitive Materials Used in Surface Acoustic Wave Gas Sensors for Detecting Sulfur-Containing Compounds

High-performance metal-oxide gas sensors based on hierarchical core-shell ZnFe2O4 microspheres for detecting 2-chloroethyl ethyl sulfide