Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award

Posted on 06/01/2025 by ScienceFather

Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award

Dr. Xueting Luo, School of Electronic and Information Engineering, Hebei University of Technology, China

Luo Xueting is a dedicated graduate student at Hebei University of Technology, specializing in Electronic Science and Technology with a focus on photoelectric communication. She previously studied at Tianjin University of Science and Technology, where she earned both her Master’s and Bachelor’s degrees in Electronic Information and Electronic Information Engineering, respectively, achieving impressive academic results and ranking in the top 8% and 10% of her class. Xueting’s research contributions include a published paper in the journal of Electronics on a large-bandwidth lithium niobate electro-optic modulator for frequency-division multiplexing RFID systems. She has actively participated in innovation and entrepreneurship competitions, earning multiple accolades for her team’s project on a thin film lithium niobate acousto-optic modulator. With nearly two years of internship experience at the Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute, she has gained practical skills in the production and testing of electro-optic modulators, contributing to several patented innovations. Proficient in both Chinese and English, Xueting is also skilled in various software tools for simulation and design. Outside of her academic pursuits, she enjoys music, playing badminton, basketball, and billiards, reflecting her diverse interests and well-rounded character.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Luo Xueting

Luo Xueting is an exemplary candidate for the Best Researcher Award, demonstrating a strong commitment to excellence in electronic science and technology, particularly in the field of photoelectric communication. Here are the key points that highlight his qualifications.

Education 🎓

Hebei University of Technology (2024 – Present)
- Graduate Major: Electronic Science and Technology
- Research Direction: Photoelectric Communication
Tianjin University of Science and Technology (2021 – 2024)
- Graduate Major: Electronic Information
- Research Direction: Photoelectric Communication
- Exam Results: 3.79 (87.89 average)
- Ranked in the top 8% of major
Tianjin University of Science and Technology (2017 – 2021)
- Undergraduate Major: Electronic Information Engineering
- Exam Results: 3.6 (86 average)
- Ranked in the top 10% of major
- Notable Scores:
  - Signal Processing Software Design: 92%
  - Digital Signal Processing: 94%
  - Digital Electronic Technology: 97%
  - DSP Principle and Application: 97%

Work Experience 💼

Intern
Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute (2023)
- Gained training and familiarity with the production and testing process of electro-optic modulators
- Authorized Patents:
  - Preparation Method of Internal Electrode Type Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626922B
  - Waveguide Matrix Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626923B
  - Multi-Mode Matrix Micro Nano Universal Fiber: 202321922225.3
- Patent Applications:
  - A Multi-Layer Nested Tapered Electrode Lithium Niobate Electro-Optic Modulator and Its Preparation Process: CN 116819806A
  - A Y-Waveguide Modulator Half-Wave Voltage Test System: CN 116840543A

Achievements 🏆

Publication:
- “Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems” (2024)
College Students’ Innovation and Entrepreneurship Competition:
- Gold Medal in School Competition 🥇
- Gold Medal in Provincial Competition 🥇
- Bronze Medal in International Competition 🥉
- Contributed to the discussion and fabrication of a thin film lithium niobate acousto-optic modulator

Awards and Honors 🥇

Ranked in the top 8% of major in Graduate Studies at Tianjin University of Science and Technology
Ranked in the top 10% of major in Undergraduate Studies at Tianjin University of Science and Technology

Publication Top Notes:

Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems

Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award

Posted on 17/12/2024 by ScienceFather

Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award

Dr. Bharga prajwal pathri, Woxsen University, India

Bhargav Prajwal Pathri is an Associate Professor and Programme Director of the Mechatronics Department at Woxsen University, Hyderabad, India. With a Ph.D. in Mechanical Engineering from the Malaviya National Institute of Technology (NIT) Jaipur, his research focuses on mechanical systems, automation, bio-printing, and IoT. He has a strong educational background, holding a Master’s degree in Automotive Engineering from Coventry University and a Bachelor’s degree in Mechanical Engineering from Jawaharlal Nehru Technological University. Bhargav has over nine years of experience in academia, having taught at various institutions including JK Lakshmipat University and Effat University. He is skilled in mechanical design and analysis using advanced software such as CATIA, SolidWorks, and Abaqus. In addition to his teaching role, he actively mentors students on projects, engages in research, and contributes to curriculum development. A passionate learner, Bhargav enjoys photography, traveling, reading novels, and riding cars and bikes in his free time. He is dedicated to fostering a creative learning environment and is committed to continuous professional growth.

Professional Profile:

ORCID

Summary of Bhargav Prajwal Pathri

Professional Overview: Bhargav Prajwal Pathri is an accomplished and versatile professional with nine years of experience in mechanical design, modeling, teaching, research, and project management. He currently serves as an Associate Professor and Programme Director in the Mechatronics Department at Woxsen University, Hyderabad.

Education:

Ph.D. in Mechanical Engineering
Malaviya National Institute of Technology, Jaipur, India (2013 – 2018)
- Project: Characterization and machinability study of various marble stones for sustainable processing.
M.Sc. in Automotive Engineering
Coventry University, United Kingdom (2009 – 2010)
- Project: Design and manufacturing of upright for a Formula One student sports car.
B.Tech in Mechanical Engineering
Jawaharlal Nehru Technological University, Hyderabad, India (2004 – 2008)
- Project: Development of variable part programming for turning centrifugal compressor impeller using SINUMERIK CNC System.

Work Experience:

Associate Professor
Woxsen University, School of Technology, Hyderabad, India (Jan 2024 – Present)
- Focused on teaching, research, and mentoring students on projects.
Assistant Professor
Woxsen University, School of Technology, Hyderabad, India (Jan 2022 – Jan 2024)
- Engaged in teaching and student mentorship.
Assistant Professor
JK Lakshmipat University, Jaipur, India (July 2019 – Jan 2022)
Assistant Professor
Effat University, Jeddah, Saudi Arabia (Nov 2018 – June 2019)
Research Scholar
Malaviya National Institute of Technology, Jaipur, India (July 2013 – June 2018)

Key Skills and Expertise:

Proficient in CAD/CAE software: CATIA V5, Inventor, SolidWorks, Altair Hyperworks, and Abaqus.
Strong analytical skills in engineering design, quality inspection, and technical documentation.
Experienced in curriculum development and fostering a creative learning environment.
Demonstrated leadership in workshops and conferences related to engineering and technology.

Areas of Expertise:

🔧 Mechanical Design & Modelling
📊 Teaching Management
🛠️ Project Execution & Fulfillment
📚 Curriculum Development
🤝 Vendor Management
👩‍🏫 Training & Mentoring

Publication Top Notes

EcoSprout: Machine Learning-Powered Smart Sprinkler System

S3T: A New Self-Supervised Learning with Swin Transformer

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

Electric discharge machining: A comprehensive review for difficult to cut materials

Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare

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

Posted on 17/12/202417/12/2024 by ScienceFather

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

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. 🌟👨‍🎓🔧

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.

🎓 Education

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

🧑‍🏫 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.
⚙️ Design Engineer (2020–2021), Lyonstone Technologies: Expertise in ANSYS, SolidWorks, and Catia, conducting advanced simulations and performance analysis.

🏆 Achievements

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

🛠️ Key Projects

🤖 WOXBOTS: Swarm robotics platform for collision avoidance.
🚜 Agriculture Drone: AI-powered drone for crop health monitoring.
🛒 Warehouse Automation: Pick-and-Place Robot for enhanced efficiency.
🔥 Firefighting Drone: Equipped with human detection and suppression systems.
🛠️ 3D-Printed V8 Engine: Simulated and printed prototype using SOLIDWORKS and ANSYS.

📜 Patents

🛡️ Multi-Agent Co-ordination System with Swarm Behavior (2024)
♻️ Eco-Forge: Sustainable 3D Filament Extruder.
🤖 AI-Based Robotic Pick-and-Place System for Warehouses.
📦 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)
🖨️ 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

Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

Posted on 11/12/2024 by ScienceFather

Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

Mr. Xi Zhou, Jiyang College, Zhejiang A&F University, China

Xi Zhou is an accomplished Associate Professor at Jiyang College of Zhejiang A&F University in Zhejiang, China, where he has been a faculty member since 2013. He earned his Ph.D. from Beijing University of Posts and Telecommunications in 2021, specializing in financial risk management. With a strong commitment to research and scholarship, Zhou has published over 60 articles and two books, contributing significantly to his field. His work has garnered recognition, earning him several prestigious awards, including the third prize for excellent achievements from the Chinese Society of Technology and Economics and the Shaoxing Philosophy and Social Sciences Outstanding Achievement Award. Additionally, he has received first and second prizes for excellent academic papers in natural sciences in Zhuji City. Zhou also serves as the director of the Zhejiang Society of Business Economics, further exemplifying his leadership and dedication to advancing knowledge in his discipline.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Xi Zhou

Xi Zhou is a distinguished Associate Professor at Jiyang College of Zhejiang A&F University, with a robust academic background and significant contributions to the field of financial risk management. His research is particularly relevant to the Best Researcher Award, as he has explored critical issues, such as the impact of natural resource depletion on energy security risks, as highlighted in the article “How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries,” co-authored with renowned researchers including Pang, L., Liu, L., and Ullah, S.

Education 🎓:

Ph.D. in Communications Engineering
- Institution: Beijing University of Posts and Telecommunications, Beijing, China
- Year: 2021

Work Experience 💼:

Associate Professor
- Institution: Jiyang College of Zhejiang A&F University, Zhejiang, China
- Duration: Since 2013

Research Interests 🔍:

Financial Risk Management

Achievements 📚:

Publications:
- More than 60 articles
- 2 books

Professional Leadership 👔:

Director of the Zhejiang Society of Business Economics

Awards and Honors 🏆:

Third Prize for Excellent Achievements
- Awarded by the Chinese Society of Technology and Economics
Shaoxing Philosophy and Social Sciences Outstanding Achievement Award
First and Second Prizes for Excellent Academic Papers
- Awarded in Natural Sciences in Zhuji City

Publication Top Notes:

How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries

Semantic Progressive Guidance Network for RGB-D Mirror Segmentation

Ripple-Spreading Network of China’s Systemic Financial Risk Contagion: New Evidence from the Regime-Switching Model

Credit Risk Evaluation of Forest Farmers under Internet Crowdfunding Mode: The Case of China’s Collective Forest Regions

Boundary-aware pyramid attention network for detecting salient objects in RGB-D images

Multi-layer fusion network for blind stereoscopic 3D visual quality prediction

Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

Posted on 07/12/2024 by ScienceFather

Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

Prof. Hamed Dalir, University of Florida, United States

Hamed Dalir, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida, where he also serves as the Director of the CHIP Lab. With a strong background in electronics and applied physics, Dr. Dalir specializes in quantum devices, novel semiconductor technologies, and the integration of AI and machine learning systems. He has received numerous accolades throughout his career, including the AFWERX Commercialization Solution Award (2022) and the Young Scientist Award from the Japan Society for the Promotion of Science

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Hamed Dalir, Ph.D.

Candidate Overview
Dr. Hamed Dalir is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida and the Director of the CHIP Lab. With a robust academic background and extensive research experience, Dr. Dalir has established himself as a leader in the fields of electronics, photonics, and quantum technology.

Education 🎓

Postdoctoral Fellow in Quantum Computing
NSF Nano-scale Science and Engineering Center, University of California, Berkeley, CA, USA
01/2015 – 01/2017
NSF Fellowship: $92,500
Postdoctoral Fellow in Electronics & Applied Physics
Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
04/2014 – 01/2015
- Winner of Global Center of Excellence (GCOE): ¥1,200,000
- Fellow of JSPS (Japan’s NSF): ¥13,000,000
Doctor of Philosophy (Ph.D.) in Electronics & Applied Physics
Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
08/2011 – 04/2014
Master of Engineering in Electronics & Applied Physics
Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
09/2009 – 08/2011
International Study Experience
- ECE Institute of Studies Scientifiques, France (Summer 2012)
- ECE Stanford University, USA (Summer 2013)
- ECE Würzburg University, Germany (Summer 2011)
- ECE St. Petersburg University, Russia (Summer 2011)

Work Experience 💼

Associate Professor
Department of Electrical and Computer Engineering, University of Florida
06/2023 – Present
- Deputy Director of Florida Semiconductor Institute
Founder, Qbyte LLC
01/2024 – Present
Associate Professor
Department of Electrical and Computer Engineering, The George Washington University
01/2021 – 08/2023
- Founder & CEO, Optelligence LLC (01/2021 – 05/2023)
Associate Editor
- EPJ Quantum Technology | Nature Springer (01/2023 – Present)
- Frontiers in Electronics | Flexible Electronics (01/2021 – Present)
AR/VR Program Manager
OSRAM, Minneapolis, MN, USA
10/2020 – 01/2021
Principal Investigator, Chief Scientist
UT Austin’s Spin-off, Austin, TX, USA
07/2018 – 09/2020
Senior Research Scientist
11/2016 – 06/2018
RF Senior Researcher
Berkeley Wireless Research Center (BWRC), Berkeley, CA, USA
02/2015 – 10/2016
Visiting Researcher
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
02/2015 – 09/2016
Principal Investigator
Japan Society for the Promotion of Science, Tokyo, Japan
10/2009 – 01/2015

Achievements & Awards 🏆

2022: AFWERX Commercialization Solution Award
2021: AFOSR Research Grant
2014: Young Scientist Award from the Japan Society for the Promotion of Science
2013: Inventor of a novel semiconductor laser (in commercialization stage with Fuji Xerox)
2012: Golden Award from the Global Center of Excellence (GCOE)
2009: Yoshida Foundation Award for Development of Future Leaders for Changing Times

Publication Top Notes:

Athermal broadband graphene optical modulator with 35 GHz speed

CITED:224

Massively parallel amplitude-only Fourier neural network

CITED:196

29 GHz directly modulated 980 nm vertical-cavity surface emitting lasers with bow-tie shape transverse coupled cavity

CITED:164

Electronic-photonic arithmetic logic unit for high-speed computing

CITED:139

Sub-wavelength GHz-fast broadband ITO Mach–Zehnder modulator on silicon photonics

CITED:127

0.52 V mm ITO-based Mach-Zehnder modulator in silicon photonics

CITED:127

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award

Posted on 26/10/202426/10/2024 by ScienceFather

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award

Prof. Xiaoji Niu, Wuhan University, China

Dr. Xiaoji Niu is a distinguished professor at the GNSS Research Center of Wuhan University, where he has been leading a team of approximately 20 researchers since March 2010. His expertise lies in integrated navigation systems, particularly in the integration of Inertial Navigation Systems (INS) with Global Navigation Satellite Systems (GNSS). Dr. Niu has been pivotal in advancing deep integration technology for high-precision GNSS/INS systems, aimed at enhancing Position and Orientation Systems (POS) for mobile mapping applications. Prior to his current role, he served as a senior scientist at Shanghai SiRF Technology Co., Ltd., where he spearheaded research and development on dead-reckoning technology and played a key role in the production release of inertial-aided GPS firmware. Dr. Niu’s academic foundation includes a Ph.D. in Navigation and Control from Tsinghua University, where he focused on micromachined attitude measurement units for satellite TV antenna stabilization, and a B.Sc. with honors in Mechanical Engineering. His contributions to the field are recognized internationally, underscoring his commitment to advancing navigation technologies.

Professional Profile:

SCOPUS

Research for Best Researcher Award:

Professor Xiaoji Niu, currently at the GNSS Research Center of Wuhan University, is a highly accomplished researcher with a notable record in navigation and integrated systems. His extensive experience and impressive contributions to the field make him a strong candidate for the Best Researcher Award.

Education

Ph.D. in Navigation and Control
Institution: Tsinghua University, China
Department: Department of Precision Instruments
Duration: Sep 1997 – Dec 2002
Dissertation: “Micromachined Attitude Measurement Unit with Application in Satellite TV Antenna Stabilization”
Supervisor: Prof. Zhongyu Gao
B.Sc. (with Honors)
Institution: Tsinghua University, China
Departments:
- Department of Precision Instruments (Mechanical Engineering, Major)
- Department of Automation (Electrical Engineering, Minor)
  Duration: Sep 1992 – Jul 1997

Work Experience

Professor
Institution: GNSS Research Center, Wuhan University
Duration: Mar 2010 – Present
Responsibilities:
- Leading a team of approximately 20 researchers, including 2 postdoctoral researchers.
- Research on Integrated Navigation Systems (INS and GNSS/INS integration).
- Deep integration technology for GNSS/INS.
- Commercializing high-precision GNSS/INS integration techniques for Position and Orientation Systems (POS) for Mobile Mapping Systems (MMS).
- Developing compact and low-cost MEMS INS for land vehicles and UAV applications.
Senior Scientist
Institution: Shanghai SiRF Technology Co., Ltd
Department: Advanced Technologies Dept.
Duration: Feb 2007 – Feb 2010
Responsibilities:
- Leading R&D on Dead-Reckoning (DR) technology, including inertial-aided GPS.
- Technical lead for DR production projects.
- Started production release of DR firmware in Q2 2008; released to three customers with shipments of over 500k chips, leading to product shipments by two customers.
Research Scientist
Institution: The University of Calgary, Canada
Department: Mobile Multi-Sensor System (MMSS) Research Group
Duration: Oct 2005 – Feb 2007
Responsibilities:
- Led projects including:
  - Intermap Project (2006-2007): “Assessment of the Intermap Navigation Software and Hardware” (funded by Intermap Technologies Inc.).
  - SiRF Project – Phase II (2005-2006): “Inertial Aided GPS (Phase II)” (funded by SiRF Technology Inc.).
    Supervisor: Dr. Naser El-Sheimy
Postdoctoral Fellow
Institution: The University of Calgary, Canada
Department: Mobile Multi-Sensor System (MMSS) Research Group
Duration: Feb 2003 – Sep 2005
Responsibilities:
- Led projects including:
  - SiRF Project – Phase I (2005): “Inertial Aided GPS (Phase I)” (funded by SiRF Technology Inc.).
  - MEMS Project (2003-2005): “Next Generation MEMS-Based Navigation System for Vehicles and Personal Location and Navigation” (funded by GEOIDE, Network Center of Excellence).
    Supervisor: Dr. Naser El-Sheimy

Publication top Notes:

Multi-level information fusion enhanced by scene constraint: Key to improve autonomous positioning accuracy in urban underground pipeline using MEMS inertial sensors

Onboard multi-source fusion train positioning method based on railway track irregularity matching

INS-Aided GNSS Pseudo-Range Error Prediction Using Machine Learning for Urban Vehicle Navigation

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

An Iterative Method for the Distance Constraints in a Multi-Sensor Positioning System

Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award

Posted on 22/10/2024 by ScienceFather

Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award-5093

Dr.Reza Askari Moghadam, Sorbonne Université, France

Reza Askari Moghadam is a distinguished academic and researcher currently serving as a Lecturer at Sorbonne Université in Paris, France, specializing in electronics and mechatronics. He holds a Ph.D. in Electronics from the Islamic Azad University (IUST), where he conducted innovative research on intelligent fault detection in RF MEMS, funded by the Iranian Telecommunications Research Center. With over a decade of experience as a Tenured Lecturer at the University of Tehran, Reza has significantly contributed to the fields of sensors, actuators, microfluidics, and artificial intelligence. His extensive teaching background encompasses more than 4,600 hours of instruction across various degree programs, from bachelor’s to doctoral levels. Reza’s research output includes 58 articles in international journals and 59 conference papers, highlighting his active engagement in advancing knowledge in his field. He has also participated in multiple collaborations and projects in Europe, further enriching his academic portfolio. In addition to his research and teaching, he possesses a robust skill set in various software tools, including Python, MATLAB, and COMSOL, which support his ongoing contributions to engineering and technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Reza Askari Moghadam is an accomplished academic and researcher in the field of Electronics and Engineering, with a solid track record of teaching, research, and publication. His diverse experiences, educational background, and substantial contributions to the field make him a strong candidate for the Best Researcher Award.

Education

Ph.D. in Electronics
- Institution: Islamic Azad University (IUST), Tehran, Iran
- Years: 2001 – 2007
- Thesis: “Intelligent Detection of Faults in RF MEMS”
- Funding: Iranian Telecommunications Research Center (ITRC)
Master’s Degree in Electrical Engineering (Specialization: Control)
- Institution: Islamic Azad University (IUST), Tehran, Iran
- Years: 1998 – 2001
- Thesis: “Design, Implementation, and Control of a Robotic Arm”
- Funding: Electronics Research Center, IUST
Bachelor’s Degree in Electrical Engineering (Specialization: Electronics)
- Institution: University of Petroleum Industry, Iran
- Years: 1993 – 1998
- Thesis: “Design and Implementation of an EEPROM Programmer”

Professional Experience

Lecturer
- Institution: Campus Pierre et Marie Curie, Sorbonne Université, Paris, France
- Years: Sep. 2023 – Present
Temporary Teaching and Research Attaché (ATER)
- Institution: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), UPEC, France
- Years: Jan. 2022 – Sep. 2023
- Notes: Contract renewed in September 2022
Tenured Lecturer
- Institution: Department of “Mechatronics & MEMS”, Faculty of New Sciences and Technologies, University of Tehran (UT), Iran
- Years: Sep. 2012 – Jan. 2022

Research Activities

Collaborated with LISSI Laboratory, UPEC, France since 2016.
Visiting Researcher at Nano Center, University of Southampton, UK (2010, three months).
Attended Synchrotron Summer School at Daresbury Synchrotron Laboratory, UK (2004, one month).

Publication top Notes:

Simplified U-Net as a deep learning intelligent medical assistive tool in glaucoma detection

High speed universal NAND gate based on weakly coupled RF MEMS resonators

Microfluidics chip inspired by fish gills for blood cells and serum separation

Theoretical and experimental evaluation of small flow rate ultrasonic flowmeter

Design optimization of a heat-to-cool Stirling cycle using artificial neural network

A novel Gamma-type duplex Stirling system to convert heat energy to cooling power: Theoretical and experimental study

Mr. Tamoor Shafique | Devices Award | Best Researcher Award

Posted on 04/09/2024 by ScienceFather

Mr. Tamoor Shafique | Devices Award | Best Researcher Award

Mr. Tamoor Shafique, Staffordshire University, United Kingdom

Dr. Tamoor Shafique is a Senior Lecturer in Automation & Robotics Engineering at Staffordshire University, where he also serves as Course Leader for MEng/BEng (Hons) Electrical and Electronic Engineering. With a Ph.D. in Electrical Engineering, a Master’s from CIIT Islamabad, and a Bachelor’s from UCET Mirpur, Dr. Shafique has extensive experience in both academia and industry. He specializes in curriculum development, strategic decision-making, and stakeholder liaison, with a strong track record in quality assurance and educational leadership. Dr. Shafique has published six impactful journal papers and contributed to IEEE conference proceedings. His professional experience includes roles as Deputy Head of Engineering HE at University Centre Wigan & Leigh College and Lecturer at various institutions, including Mirpur University of Science and Technology and Conceptz IT Solutions and Training Institute. He is a Fellow of the Higher Education Academy (FHEA) and holds a PGCert in Education. In addition to his academic roles, Dr. Shafique has been involved in local community service as a Foundation Governor at Great Ashton Academy Trust. His research and teaching focus on Robotics, Electronics, and Automation, and he is committed to enhancing educational standards and student engagement.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Engr. Tamoor Shafique is a distinguished Senior Lecturer in Automation and Robotics Engineering at Staffordshire University with a comprehensive background in electrical engineering and education. His experience spans both academia and industry, demonstrating a deep commitment to engineering education and research.

Education:

PhD: Completion in June 2024. 🎓
MSc (Electrical Engineering): CIIT Islamabad, Pakistan (2011-2013). 📊
BSc (Electrical Engineering): UCET Mirpur, Pakistan (2006-2010). 📐
PGCert in Education (Education and Training): University of Central Lancashire, UK (2022). 🌟
FHEA: Fellowship of Higher Education Academy (2022). 🎓

Professional Experience:

Course Leader and Senior Lecturer, Staffordshire University (Jan 2022 – Present): Overseeing MEng/BEng Electrical and Electronic Engineering, contributing to course re-accreditation, and developing blended learning strategies. 🏫
Deputy Head of Engineering HE, University Centre Wigan & Leigh College (Jun 2017 – 2022): Managed quality assurance, internal audits, and curriculum development. 🔧
Controls Engineer, Air Handlers Northern Limited (Oct 2016 – Feb 2017): Assisted in developing strategies for AHU Controllers. 🌬️
Lecturer, Mirpur University of Science and Technology (Sep 2014 – Sep 2016): Taught and managed various academic responsibilities. 📘

Interests & Hobbies:

Engaging with local communities and volunteering. 🌍
Playing badminton and reading. 🏸📚
Spending time with family and friends. 👨‍👩‍👧‍👦

Publication top Notes:

Data Traffic Based Shape Independent Adaptive Unequal Clustering for Heterogeneous Wireless Sensor Networks

Node Role Selection and Rotation Scheme for Energy Efficiency in Multi-Level IoT-Based Heterogeneous Wireless Sensor Networks (HWSNs)

A Review of Energy Hole Mitigating Techniques in Multi-Hop Many to One Communication and its Significance in IoT Oriented Smart City Infrastructure

Data Augmentation-Assisted Makeup-Invariant Face Recognition

Automatic Grading of Palsy Using Asymmetrical Facial Features: A Study Complemented by New Solutions

Mr. Mohammad Ali Nasiri | Thermoelectric sensor | Best Researcher Award

Posted on 15/07/2024 by ScienceFather

Mr. Mohammad Ali Nasiri | Thermoelectric sensor | Best Researcher Award

Mr. Mohammad Ali Nasiri ,university of valencia -Instituto de Ciencia Molecular (ICMOL), Spain

Mohammad Ali Nasiri, based in Valencia, Spain, is an innovative researcher specializing in thermoelectric materials, energy storage, and sustainable solutions. With over five years of experience at the Instituto de Ciencia Molecular (ICMOL), he has made significant advancements in energy storage technologies and sustainable thermoelectric materials. Nasiri has expertise in micro/nanofabrication and extensive characterization techniques, including electron beam evaporation, thermal evaporation, and Raman spectroscopy. His notable publications include works on ultrathin transparent nickel electrodes and lignin-derived ionic conducting membranes. Nasiri holds a Master of Science in Nanotechnology from the Materials and Energy Research Center, Iran, and a Master of Science in Mechanical Engineering from Tarbiat Modares University, Iran. He is currently pursuing research in Nanoscience and Nanotechnology at the University of Valencia, focusing on thermoelectric materials. Nasiri’s work has been guided by esteemed research advisors Andres Cantarero and Clara Gomez.

Professional Profile:

ORCID

Education:

Researcher in Nanoscience and Nanotechnology, University of Valencia (March 2019 – Present)
Master of Science in Nanotechnology – Nanomaterials, Materials and Energy Research Center, Tehran, Iran (September 2014 – 2017)
Master of Science in Mechanical Engineering, Tarbiat Modares University, Tehran, Iran (November 2006 – 2009)

Languages:

English (B1), Persian (Native) 🗣️📚

Research Interests:

Hydrogel bioelectronics
Thermal conductivity on flakes
Ionic thermometric materials 🌊🌡️

Professional Experience:

Researcher Assistant at Instituto de Ciencia Molecular (ICMOL) (March 2019 – Present)
- Developed sensors for 3ω method thermal conductivity characterization.
- Created lignin-based MWCNT/MXene multilayered electrodes for energy storage.
- Pioneered sustainable innovations in thermoelectric materials, including lignin-derived ionic conducting membranes and hydrogels.
- Advanced techniques in transparent thermoelectric materials, including ultrathin transparent nickel electrodes and selective light absorbers. 🌞🧪

Skills:

Cleanroom Class 10000: Expert in micro and nanofabrication techniques such as electron beam evaporation, thermal evaporation, sputtering, ellipsometry, dry etching, and wire bonding. 🏭🔧
Characterization Techniques: Proficient in thermoelectric and thermal conductivity measurements, Hall effect, Raman, FTIR, UV-Vis, XPS, Kerr electro-optic effect, and SThM. 📊🔍
Mathematical Modeling and Problem Solving: Specializes in ionic thermoelectric materials and metamaterials using finite element method (FEM) and perturbation method. 📐🧩