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

Posted on by ScienceFather

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

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.

πŸŽ“ 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.

πŸ’Ό 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 πŸ› οΈ
      • Digital Signal Processing πŸ“Š
      • Data Acquisition πŸ’»
      • Embedded Systems πŸ“‘
      • Virtual Reality πŸ•ΆοΈ
      • Artificial Intelligence πŸ€–
      • Tools used: MATLAB/SIMULINK, LabVIEW, Audacity, Adobe Audition, Fusion 360.

πŸ† 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 πŸŽ“

πŸ… Professional Affiliations

  • Member of the Institute of Electrical and Electronic Engineers (IEEE) ⚑
  • Member of the Institute of Engineering and Technology (IET) βš™οΈ
  • Executive Committee Member of IET Teesside Local Network and University Liaison 🀝

πŸ“š Teaching Responsibilities

  • Modules Taught:
    1. Sustainable Systems and Industry 4.0 🌱
    2. Sustainability 🌍
    3. Robust Control Systems (RCS) βš™οΈ
    4. Digital Control and Digital Signal Processing (DSP) πŸ“Š
    5. Embedded Systems πŸ’»
    6. Linear Systems and Control πŸ“
    7. Electronic Principles ⚑
    8. Instrumentation πŸ“
    9. Design Implementation πŸ› οΈ

PublicationΒ 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. Wenjuan Liu | Resonators Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Wenjuan Liu | Resonators Awards | Best Researcher AwardΒ 

Dr. Wenjuan Liu, The Institute of Technological Sciences, Wuhan University, China

Liu Wenjuan (εˆ˜ζ–‡ε¨Ÿ) is a dedicated researcher in the field of Electronic Engineering, specializing in Microelectronics and Solid-state Electronics. she obtained her Ph.D. from Fudan University in 2020, where she focused on the fabrication of micromachined ultrasonic transducers. Liu has extensive international experience, having worked as a visiting student at CNRS-IEMN-DOAE UPHF in France, VIRTUS, School of EEE at NTU in Singapore, and completed an internship at the Institute of Microelectronics A*STAR in Singapore. Her research interests include acoustic sensors for RF and medical imaging, particularly the development of Aluminum Nitride piezoelectric micromachined ultrasonic transducers (PMUT) for high-resolution imaging. Liu has a strong background in Finite Element Method (FEM) modeling and has participated in multiple multi-project wafer (MPW) programs, utilizing EDA tools such as Cadence and Synopsys for circuit design and simulation.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Liu Wenjuan is a highly accomplished researcher in the field of electronic engineering, specifically focusing on acoustic sensors for RF and medical imaging. Her educational background includes a Ph.D. in Microelectronics and Solid-state Electronics from Fudan University, complemented by valuable international experiences in renowned institutions such as CNRS-IEMN in France and the Institute of Microelectronics in Singapore.

Education Background πŸŽ“

  • Ph.D. in Microelectronics and Solid-state Electronics
    Fudan University, 09/2014 – 08/2020

    • Visiting Student at CNRS-IEMN-DOAE UPHF, France (10/2017 – 05/2019)
    • Intern at Institute of Microelectronics A*STAR, Singapore (06/2017 – 09/2017)
    • Visiting Student at VIRTUS, School of EEE NTU, Singapore (02/2016 – 09/2017)
  • M.S. in Integrated Circuit Engineering (Recommended)
    Tianjin University, 09/2011 – 01/2014
  • B.S. in Electronics Science and Technology
    Tianjin University, 09/2007 – 07/2011

Work Experience πŸ’Ό

  • Ph.D. Researcher
    Fudan University

    • Research Focus: Fabrication of micromachined ultrasonic transducers (PMUT) for high-resolution imaging, using MEMS fabrication and integrated circuit technologies.
  • Project Leader
    Tianjin University

    • Design of Anti-attack Information Security Chip (2011.12 – 2014.1)
      • Led the project aimed at detection and defense against physical-invasive attacks. Integrated detection sensors into an independent IP core for monitoring physical environment variables.

Achievements πŸ†

  • Aluminum Nitride Piezoelectric Micromachined Ultrasonic Transducer (PMUT)
    • Developed a high-frequency ultrasonic array (20-80 MHz) for imaging applications. Conducted theoretical simulations and realized designs using MEMS fabrication techniques.
  • Anti-attack Information Security Chip
    • Completed overall circuit design, layout design, and post-layout simulation. The chip was successfully taped out using SMIC 0.18Β΅m and GF 0.18Β΅m processes, and a patent was applied.

Awards and Honors πŸŽ–οΈ

  • The Excellent Graduate Student Scholarship, Fudan University (2015-2017)
  • Campus France Scholarship (2017-2019)
  • Excellent Student Cadre of Tianjin University (2012-2013, 2011-2012, 2009-2010)
  • Excellent Graduates of Tianjin University (01/2014, 06/2011)
  • Merit Student of Tianjin University (2010-2011)

Publication Top Notes:

A Near Spurious-free 6 GHz Laterally-excited Bulk Acoustic Resonator with Single-sided Wavy Electrodes

A Laterally Excited Bulk Acoustic Wave Resonator Based on LiNbO3 with Arc-Shaped Electrodes

A Sc0.096Al0.904N-Based Bimorph Piezoelectric MEMS Microphone Using 3 Γ— 3 Circular Diaphragms

Suppression of spurious modes in lateral-excited bulk acoustic wave resonators using piston mode electrodes

Theoretical Analysis and Verification on ScAlN-Based Piezoelectric Micromachined Ultrasonic Transducers With DC Bias

A ScAlN-Based Piezoelectric MEMS Microphone With Sector-Connected Cantilevers

Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher AwardΒ 

Prof. Dr. Xiaogang Lin, Chongqing University, China

Xiaogang Lin He earned his B.E. degree in Precision Instrument from Xi’an Technological University in 1998, followed by his M.A.Eng and Ph.D. degrees in Optical Engineering from Chongqing University in 2003 and 2008, respectively. Dr. Lin began his career as a technician at Mingguang Instrument Factory in 1998 before transitioning to academia as a Lecturer at Chongqing University’s College of Opto-electronic Engineering in 2003. He has since risen through the ranks, becoming an Assistant Professor, Associate Professor in 2010, and Professor in 2017. His research interests focus on photoelectric biosensing, biosensors, precision testing technology, and intelligent instruments, resulting in over 40 high-quality technical publications. Dr. Lin has also served as a visiting scholar at the University of Tennessee, Knoxville, in 2014 and 2017. He is an active member of the third Council of Opto-mechatronics Technology and Systems under the China Instrument and Control Society, as well as a senior member of the society. Additionally, he is an international TRIZ Association three-level certified expert and a national second-level innovation engineer. Dr. Lin has received the first prize of the Chongqing Science and Technology Progress Award and has hosted and participated in more than 20 provincial and ministerial research projects, including significant initiatives like the National Key R&D Program of China and the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Xiaogang Lin

Dr. Xiaogang Lin is an outstanding candidate for the Best Researcher Award due to his extensive academic and professional achievements in the field of optical engineering and biosensing technologies. Born in Chongqing, China, in 1975, Dr. Lin has built a remarkable career, marked by significant contributions to research and education.

Education πŸŽ“

  • B.E. in Precise Instrument
    Xi’an Technological University, Xi’an, China (1998)
  • M.A. in Optical Engineering
    Chongqing University, Chongqing, China (2003)
  • Ph.D. in Optical Engineering
    Chongqing University, Chongqing, China (2008)

Work Experience πŸ’Ό

  • Technician
    Mingguang Instrument Factory, China (1998)
  • Lecturer
    College of Opto-electronic Engineering, Chongqing University (2003)
  • Assistant Professor
    College of Opto-electronic Engineering, Chongqing University (2003 – 2010)
  • Associate Professor
    College of Opto-electronic Engineering, Chongqing University (2010 – 2017)
  • Professor
    College of Opto-electronic Engineering, Chongqing University (2017 – Present)
  • Visiting Scholar
    University of Tennessee, Knoxville, USA (2014, 2017)

Achievements 🌟

  • Over 40 high-quality technical publications in the field of optical engineering and biosensing.
  • Member of the Third Council of Opto-mechatronics Technology and Systems, China Instrument and Control Society.
  • Senior member of the China Instrument and Control Society.
  • International TRIZ Association three-level certified expert.
  • National second-level innovation engineer.

Awards and Honors πŸ†

  • First Prize of Chongqing Science and Technology Progress Award
    For significant contributions to the field of optical engineering and biosensing.
  • Hosted and participated in more than 20 provincial and ministerial research projects, including:
    • National Key R&D Program of China
    • National Natural Science Foundation of China

Publication Top Notes:

A Study on Pigment Composition of Buddhist Cave Paintings Based on Hyperspectral Technology

A Perovskite Material Screening and Performance Study Based on Asymmetric Convolutional Blocks

Advancements in Chemical and Biosensors for Point-of-Care Detection of Acrylamide

ACEK Biosensor for the Minute-Scale Quantification of Breast Cancer ctDNA

An alternating current electrokinetics biosensor for rapid on-site serological screening of Taenia solium cysticercosis infection

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award

Posted on by ScienceFather

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher AwardΒ 

Mr. Krishnavamshi Gandur, Woxsen University, India

Krishnavamshi Ganduri is a dedicated PhD candidate in Mechatronics at Woxsen University, Hyderabad, India, where he explores the fusion of mechanical, electrical, and computer engineering to devise innovative solutions for real-world challenges. With a strong foundation in robotics and automation, he aims to contribute to advancements in artificial intelligence. As a Teaching Assistant, he has led classes and supervised labs, focusing on software like AutoCAD, SolidWorks, and 3D printing, while also guiding student robotics projects. His academic journey includes a B.Tech in Mechanical Engineering and an M.Tech in Thermal Engineering, complemented by professional experience as a Design Engineer. Krishnavamshi has received accolades for his innovative projects, including a 1st place award for designing a paper cutting machine using the Geneva mechanism. He is proficient in multiple programming languages and CAD software, with several patents to his name, showcasing his commitment to pushing the boundaries of technology and education. πŸŒŸπŸ‘¨β€πŸŽ“πŸ”§

Professional Profile:

ORCID

Suitability for Best Researcher Award

Krishnavamshi Ganduri is a highly suitable candidate for the Best Researcher Award based on his exceptional academic background, technical skills, professional achievements, and innovative research contributions. Below is a summary of the key factors that underscore his eligibility.

πŸŽ“ Education

  • πŸ“š Ph.D. in Robotics, Woxsen University (2021–2025)
    Thesis: Swarm Robotics using PSO and Rendezvous Algorithms
  • πŸ“š M.Tech. in Thermal Engineering, CMR Technical Campus (2018–2021)
    Thesis: CFD Analysis of Diesel-Methanol IC Engine
  • πŸ“š B.Tech. in Mechanical Engineering, Adams Engineering College (2015–2018)
  • πŸ“š Diploma in Mechanical Engineering, Govt. Polytechnic (2012–2015)

πŸ§‘β€πŸ« Experience

  • 🏫 Teaching Assistant (2023–2025), Woxsen University: Led labs and classes on AutoCAD, Fusion 360, SolidWorks, and Robotics.
  • 🏫 Teaching Assistant (2021–2022), Mahindra University: Conducted classes on AutoCAD, SolidWorks, and Engineering Drawing.
  • βš™οΈ Design Engineer (2020–2021), Lyonstone Technologies: Expertise in ANSYS, SolidWorks, and Catia, conducting advanced simulations and performance analysis.

πŸ† Achievements

  • πŸ… 1st Place: Innovation of Geneva Mechanism Paper Cutter, PROJECT-EXPO (2017).
  • πŸ… 1st Place: Scored 100/100 in Engineering Drawing, Diploma (2013).
  • πŸ“œ Certified CAD/CAE Engineer, MSME Govt. of India.

πŸ› οΈ Key Projects

  • πŸ€– WOXBOTS: Swarm robotics platform for collision avoidance.
  • 🚜 Agriculture Drone: AI-powered drone for crop health monitoring.
  • πŸ›’ Warehouse Automation: Pick-and-Place Robot for enhanced efficiency.
  • πŸ”₯ Firefighting Drone: Equipped with human detection and suppression systems.
  • πŸ› οΈ 3D-Printed V8 Engine: Simulated and printed prototype using SOLIDWORKS and ANSYS.

πŸ“œ Patents

  • πŸ›‘οΈ Multi-Agent Co-ordination System with Swarm Behavior (2024)
  • ♻️ Eco-Forge: Sustainable 3D Filament Extruder.
  • πŸ€– AI-Based Robotic Pick-and-Place System for Warehouses.
  • πŸ“¦ Automatic Segregation of E-Commerce Products with 7DOF Arm.
  • 🏟️ Real-Time 3D Projection System for Live Matches.

🎯 Professional Development

  • 🧠 AI & ROS for Robotics (IIIT Kancheepuram, 2023)
  • 🌐 IoT & Digital Twins (IIIT Sricity, 2024)
  • πŸ–¨οΈ 3D Printing & Design (IIIT Basara, 2023).

Publication Top Notes:

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

EcoSprout: Machine Learning-Powered Smart Sprinkler System

CFD analysis of diesel-methanol blend in 4-stroke variable compression ratio internal combustion engine