Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Dr. Tong Sun | Photodiode | Best Researcher Award

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Dr. Tong Sun | Photodiode | Best Researcher Award

Dr. Tong Sun, Beijing University of Posts and Telecommunications, China

Dr. Tong Sun is a dedicated researcher specializing in photodiode technology, infrared detection, and semiconductor materials. He is currently affiliated with Beijing University of Posts and Telecommunications (BUPT), where he focuses on avalanche photodiodes, superlattice structures, and infrared detector optimization. His work involves cutting-edge advancements in high-performance infrared sensors, photonic devices, and optoelectronics. Dr. Sun has contributed to multiple national and provincial research projects and has authored several high-impact publications. He has also secured patents in avalanche photodiodes and has been recognized with multiple awards for his innovative research contributions.

🌍 Professional Profile:

Scopus

🏆 Suitability for Best Researcher Award

Dr. Tong Sun is an exceptional candidate for the Best Researcher Award due to his outstanding contributions to photodiode research and infrared detection technology. His pioneering work on avalanche photodiodes and superlattice structures has been recognized with high-impact publications, national research grants, and prestigious patents. His research has led to significant advancements in optoelectronics, particularly in improving infrared sensing performance. Furthermore, his role as a principal investigator in multiple projects, combined with accolades in national competitions, demonstrates his leadership and innovation in the field. His work has a profound impact on next-generation photonic technologies.

🎓 Education

Dr. Tong Sun is currently pursuing his research at Beijing University of Posts and Telecommunications (BUPT), specializing in Electronic Science and Technology. His academic journey has been shaped by rigorous training in optoelectronics, semiconductor physics, and infrared detection technologies. His education has provided him with deep expertise in the design, modeling, and simulation of advanced photonic and electronic devices. Throughout his studies, he has actively engaged in interdisciplinary projects, blending theoretical knowledge with experimental research. His academic excellence has been recognized through competitive research funding, leading to his leadership in multiple high-impact research projects.

👨‍🔬 Experience

Dr. Tong Sun has been actively involved in multiple national and provincial-level research projects, focusing on photodiode advancements and infrared detection. His contributions include designing multi-stage avalanche photodiodes, constructing infrared material models, and optimizing wide-angle spectral detection technologies. His research experience spans across institutions such as the China Ordnance Industry Corporation Key Laboratory, National Key R&D Programs, and the National Infrared Detection Laboratory. He has also served as the principal investigator for a graduate innovation and entrepreneurship project, leading research on high-temperature photodetectors. His expertise in semiconductor device modeling and photonic design has positioned him as a leading researcher in the field.

🏅 Awards & Honors

  • 🏆 Second Prize in the 2024 San’an Innovation Competition
  • 📜 Invited Speaker at China Materials Conference 2024 & World Materials Conference
  • 🔬 Cover Article in Laser Technology, featured in the Science Journal Bilingual Communication Project
  • 🎖️ Second Prize in Graduate Innovation and Entrepreneurship Project
  • 📄 Reviewer for International Optics & Photonics Conference (IACOP 2024)
  • 🎙️ Company Representative Speaker at the 8th National College IC Innovation & Entrepreneurship Competition (North China Division)
  • 🎓 Outstanding Class Leader Award (University Level)

🔍 Research Focus

Dr. Tong Sun’s research primarily revolves around photodiodes, infrared detectors, and optoelectronic device optimization. His expertise includes designing multi-stage avalanche photodetectors, modeling superlattice infrared sensors, and optimizing high-performance infrared detection technologies. His work leverages k·p method simulations for device modeling, focusing on dark current suppression and high-sensitivity photodetection. He also explores high-temperature photodetectors and mid-wave infrared materials, aiming to improve wide-angle spectral tuning and noise reduction in infrared sensors. His research directly impacts the development of next-generation infrared imaging and photonic devices for defense, aerospace, and industrial applications.

📊 Publication Top note:

Material Structure Design of High-Gain and Low-Noise Multi-Gain-Stage Avalanche Photodiode

 

 

Dr. Chinenye Azuka | Technology | Best Researcher Award

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Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka, University of Nigeria Nsukka, Nigeria 

Dr. Chinenye Azuka is a dedicated researcher and academic specializing in food science and technology. She earned her Ph.D. from the University of Nigeria, focusing on functional food development from germinated brown rice and pigeon pea for diabetes management. Currently serving as Lecturer I at the University of Nigeria, Nsukka, she has extensive experience in teaching and mentoring students in food safety, food engineering, and cereal technology. Her research revolves around processing and product development of functional foods, with expertise in enzymatic activity, polyphenol extraction, and food processing techniques. Dr. Azuka is also skilled in hands-on instrumentation, experimental design, and academic writing. She has received several prestigious awards, including the Tertiary Education Trust Fund (TETFund) award for research excellence. With a strong passion for innovation in food science, she continues to make significant contributions to academia and the industry through her research, publications, and teaching excellence.

Professional Profile:

Orcid
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🏆 Suitability for Best Researcher Award 

Dr. Chinenye Azuka is an outstanding candidate for the Best Researcher Award due to her exceptional contributions to food science research, particularly in functional food development. Her Ph.D. research on germinated brown rice and pigeon pea extrudates for diabetes intervention demonstrates a strong commitment to addressing global health challenges through food technology. With extensive experience in designing and conducting experiments, enzyme activity evaluation, and food processing techniques, she has pioneered innovative methodologies in her field. Dr. Azuka’s expertise in UHPLC/HPLC instrumentation, response surface methodology, and solid-phase extraction further underscores her technical prowess. Additionally, her teaching and mentoring roles have shaped numerous students in the field of food science. Her research excellence has been recognized through prestigious awards like the TETFund Research Excellence Award. With her strong academic record, impactful research, and commitment to scientific advancement, Dr. Azuka is highly deserving of this award.

🎓 Education 

Dr. Chinenye Azuka holds a Ph.D. in Food Science and Technology from the University of Nigeria, where she conducted pioneering research on developing functional foods for diabetes management using germinated brown rice and pigeon pea. Her research focused on malting, formulation, polyphenol extraction, enzyme inhibition, and physicochemical analysis of extrudates. She was supervised by renowned scholars, including Prof. G. I. Okafor, Dr. Christine Bosch, and Dr. Lisa Marshall. Prior to her doctoral studies, she earned a Bachelor’s degree in Food Science, demonstrating excellence in food processing techniques and food safety. Her strong academic background has equipped her with expertise in food engineering, product development, and analytical techniques. Through her education, she has developed a profound understanding of food technology, functional food innovation, and dietary interventions for metabolic diseases, making her a significant contributor to the field of food science and technology.

📚 Experience

Dr. Chinenye Azuka is a seasoned academic and researcher with extensive experience in food science and technology. Currently, she serves as Lecturer I at the University of Nigeria, Nsukka, where she teaches undergraduate and postgraduate courses in food safety, cereal technology, food engineering, and processing techniques. She has also supervised numerous students in their research projects and dissertation presentations. Prior to her current role, she worked as Lecturer II, where she played a crucial role in curriculum development, student mentoring, and research supervision. Additionally, she has administrative experience as a Faculty ICT Representative and Treasurer for the Local Committee of the Nigerian Institute of Food Science and Technology. Her expertise in hands-on laboratory research, experimental design, and food processing techniques has made her an influential figure in academia. Dr. Azuka’s dedication to teaching, research, and administration highlights her excellence in both academic and scientific leadership.

🏅 Awards and Honors 

Dr. Chinenye Azuka’s remarkable research contributions have been recognized through multiple awards and honors. She received the prestigious Tertiary Education Trust Fund (TETFund) Nigeria Award in 2022 for research excellence and staff development, highlighting her outstanding work in food science. In 2008, she was honored with the Tantalizers Undergraduate Excellence Award, recognizing her academic brilliance and innovative research approach. Additionally, she has earned professional certifications, including Quality Management for Operational Excellence (2023) and UK Foundations in Teaching (2023), further demonstrating her commitment to academic and professional development. Her leadership roles, including serving as Treasurer of the Local Committee of the Nigerian Institute of Food Science and Technology (UNN Chapter), underscore her contributions to the academic community. These awards and recognitions affirm her dedication, expertise, and impactful research in food science, making her a leading figure in functional food technology and nutritional science.

🔬 Research Focus

Dr. Chinenye Azuka’s research primarily focuses on functional food development and processing for disease prevention and management. Her work explores nutritional interventions for metabolic diseases, particularly diabetes, through innovative food processing techniques. She specializes in extrusion technology, enzyme inhibition studies, polyphenol extraction, and food formulation using response surface methodology. Her research also involves physicochemical characterization of food products, ensuring optimal nutritional benefits. She has conducted extensive studies on germinated brown rice and pigeon pea-based extrudates, evaluating their alpha-glucosidase and amylase enzyme inhibition properties for diabetes management. Additionally, she applies advanced analytical techniques, including UHPLC/HPLC, scanning electron microscopy, and textural analysis, to assess food quality and functionality. Dr. Azuka’s groundbreaking work bridges the gap between food technology and healthcare, contributing to nutritional science, food safety, and functional food innovations. Her research continues to impact food industry advancements and global health initiatives.

Publication Top Notes:

  • Title: Micronutrients, antinutrients composition and sensory properties of extruded snacks made from sorghum and charamenya flour blends
    • Cited by: 14
    • Year: 2020
  • Title: Physical properties of parboiled milled local rice varieties marketed in South-East Nigeria
    • Cited by: 8
    • Year: 2021
  • Title: Cooking and functional properties of parboiled milled local rice marketed in the south-east zone of Nigeria
    • Cited by: 3
    • Year: 2020
  • Title: Evaluation of the chemical composition and sensory quality of parboiled local and imported milled rice varieties marketed in south-east zone of Nigeria
    • Cited by: 2
    • Year: 2019
  • Title: Evaluation of wheat-pigeon pea flour blends for noodle production in Nigeria
    • Cited by: 1
    • Year: 2022

 

Dr. Rahul Kumar | System Identification | Research and Innovation Achievement Award

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Dr. Rahul Kumar | System Identification | Research and Innovation Achievement Award

Dr. Rahul Kumar, The University of the South Pacific, Fiji

Dr. Rahul R. Kumar is a dedicated researcher and academic in Electrical and Electronic Engineering, specializing in neural networks, robotics, system identification, and fault diagnosis. He earned his Bachelor’s and Master’s degrees from the University of the South Pacific (USP), receiving gold medals for outstanding academic performance and best MSc thesis. In 2021, he completed his Ph.D. in Industrial Engineering at the University of Padova, Italy, under a prestigious doctoral fellowship, earning accolades from the jury for his thesis. Dr. Kumar is currently a Lecturer at USP, where he mentors students and advances cutting-edge research. His work has been featured in leading international journals and conferences, where he has received several best paper awards. A passionate contributor to the academic community, he has chaired the IEEE USP Student Chapter since 2016 and serves as a reviewer for IEEE and Springer journals. 🌟📚🤖

Professional Profile

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Suitability for Award 

Dr. Rahul R. Kumar’s remarkable achievements in research and innovation make him a strong candidate for the Research and Innovation Achievement Award. His contributions span neural networks, robotics, system identification, and fault diagnosis, with significant advancements in these areas. His Ph.D. research at the University of Padova was highly commended, and his work has been recognized with best paper awards at prestigious conferences. As a lecturer at USP, Dr. Kumar combines innovative research with impactful teaching, mentoring future engineers. His leadership as Chair of the IEEE USP Student Chapter demonstrates his commitment to fostering academic collaboration and innovation. Dr. Kumar’s ability to translate complex engineering challenges into practical solutions reflects his pioneering spirit and dedication to advancing the field. His extensive publication record, peer-review contributions, and accolades highlight his exceptional research capabilities. 🏆📈🔍

Education 

Dr. Rahul R. Kumar’s academic journey is marked by excellence and achievement. He earned his Bachelor’s degree in Electrical and Electronic Engineering (2011–2013) and a Master of Science in Engineering (2014–2016) from the University of the South Pacific (USP), receiving gold medals for academic excellence and best MSc thesis. In 2021, Dr. Kumar completed his Ph.D. in Industrial Engineering at the University of Padova, Italy, supported by a prestigious doctoral fellowship. His doctoral thesis, focusing on advanced fault diagnosis and robotics, received high praise from the jury. To further enhance his teaching capabilities, he completed a Postgraduate Certificate in Tertiary Teaching at USP in 2022. Dr. Kumar’s robust educational background equips him with the skills and knowledge to tackle complex engineering challenges and drive innovation in his field. 🎓🔬🤖

Experience

Dr. Rahul R. Kumar has extensive academic and professional experience in Electrical and Electronic Engineering. He began his career as a Teaching Assistant at USP (2014–2021), where he contributed to undergraduate education and research. From 2017 to 2020, he pursued his Ph.D. at the University of Padova, Italy, focusing on system identification and robotics under a prestigious doctoral fellowship. His doctoral work earned accolades for its innovative contributions. Since 2021, Dr. Kumar has been a Lecturer at USP, mentoring students and advancing research in neural networks, robotics, and fault diagnosis. His leadership roles include chairing the IEEE USP Student Chapter since 2016, fostering collaboration and innovation among students and professionals. Dr. Kumar’s professional journey reflects his dedication to education, research, and community engagement. 🌟📚🔍

Awards and Honors 

Dr. Rahul R. Kumar’s exceptional achievements have earned him numerous accolades. He received gold medals for outstanding academic performance during his Bachelor’s and Master’s studies at USP, including recognition for the best MSc thesis. During his Ph.D. at the University of Padova, Italy, he was awarded a prestigious doctoral fellowship and received high praise from the jury for his thesis defense. Dr. Kumar has been recognized with best paper awards at several high-ranking international conferences, showcasing the impact of his research in neural networks, robotics, and fault diagnosis. As Chair of the IEEE USP Student Chapter since 2016, he has demonstrated leadership and commitment to fostering innovation in engineering. His contributions as a reviewer for IEEE and Springer journals further highlight his influence in the academic community. 🏅📈🤖

Research Focus

Dr. Rahul R. Kumar’s research focuses on advancing technologies in neural networks, system identification, robotics, and fault diagnosis. He explores innovative applications of LSTM, attention mechanisms, and transformers to enhance predictive accuracy in complex systems. His work on robotics includes developing armed robots for precision tasks, while his expertise in fault diagnosis addresses critical challenges in rotating machines and fuel cells. Dr. Kumar’s research also encompasses data analysis, leveraging AI-driven techniques to uncover insights and optimize system performance. By integrating theoretical advancements with practical applications, Dr. Kumar aims to solve real-world engineering problems, driving innovation in electrical and electronic engineering. 🌐🤖📊

Publication Top Notes

  • Title: Object detection and recognition for a pick and place robot
    • Cited by: 83
    • Year: 2014
  • Title: A comprehensive review of conventional and intelligence-based approaches for the fault diagnosis and condition monitoring of induction motors
    • Cited by: 39
    • Year: 2022
  • Title: Maze solving robot with automated obstacle avoidance
    • Cited by: 39
    • Year: 2016
  • Title: Shallow versus deep neural networks in gear fault diagnosis
    • Cited by: 33
    • Year: 2020
  • Title: Inverse kinematics solution for trajectory tracking using artificial neural networks for SCORBOT ER-4u
    • Cited by: 33
    • Year: 2015

 

 

Mr. Ifeanyi Uwaoma | Thermal Engineering Award | Industry Innovator Excellence Award

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Mr. Ifeanyi Uwaoma | Thermal Engineering Award | Industry Innovator Excellence Award

Mr. Ifeanyi Uwaoma , Caterpillar Inc., United States

Ifeanyi (Augustine) Uwaoma is a self-motivated mechanical fluid expert with over 10 years of experience in the oil and gas industry and research. He holds a Master of Science in Mechanical Engineering from Oregon State University and a Master’s in Engineering Management from the University of Benin, Nigeria, along with a Bachelor’s in Petroleum Engineering. Currently serving as a Mechanical Engineer 3 at Harvey Nash Inc. (Caterpillar), Uwaoma leads the development of innovative machine fluids, emphasizing renewable and alternative fuels. His expertise encompasses wick design, nanofabrication, solar desalination processes, and heat transfer technologies. Uwaoma is an active member of several professional organizations, including the American Society of Mechanical Engineers (ASME) and the Society for Petroleum Engineers (SPE). His research contributions have been recognized through multiple awards and honors, including induction into the Marquis Inner Circle Beta Professional Community.

Professional Profile:

Google Scholar

Suitability for the Research for Industry Innovator Excellence Award

Ifeanyi (Augustine) Uwaoma presents a compelling case for the Research for Industry Innovator Excellence Award due to his extensive expertise, impactful contributions, and innovative approaches in mechanical and petroleum engineering, particularly within the domains of renewable energy and fluid mechanics.

🎓Education:

Ifeanyi Uwaoma holds a Master of Science in Mechanical Engineering from Oregon State University in Corvallis, Oregon, which he obtained in September 2021. He also earned a Master of Science in Engineering Management from the University of Benin in Benin City, Edo, Nigeria, in July 2017. Uwaoma completed his undergraduate studies with a Bachelor of Engineering in Petroleum Engineering from the same institution in December 2010.

🏢Work Experience:

Ifeanyi Uwaoma currently serves as a Mechanical Engineer 3 at Harvey Nash Inc. (Caterpillar) since July 2022, where he leads the development of machine fluids, including biofuels and alternative fuels, while collaborating with both internal and external stakeholders on product design and development. Prior to this role, he was a Mechanical Project Engineer at CloudData Technology LLC from December 2021 to July 2022, where he managed mechanical design projects from concept to final design and coordinated engineering planning and troubleshooting efforts. Uwaoma gained valuable research experience as a Graduate Research Assistant at Oregon State University from September 2019 to June 2021, focusing on mass flow rates through wick structures for thermal design applications. Earlier in his career, he worked as a Senior Production/Petroleum Engineer at Dubri Oil Company Limited from July 2014 to September 2019, providing technical solutions for oil and natural gas transmission operations. He also served as a Technical Assistant at Dubri Oil Company Limited from June 2013 to July 2014, where he supported data analysis and ensured adherence to quality and regulatory guidelines.

🏅Awards and Honors:

Ifeanyi Uwaoma’s achievements include being inducted into the Marquis Inner Circle Beta Professional Community in February 2024 and selected for recognition in the Marquis Who’s Who Millennium Magazine in January 2024. In September 2019, he was awarded a multi-million grant from the U.S. Department of Energy for his contributions to potable water desalination technology. Additionally, he created a motivational video research presentation for new students at Oregon State University in August 2020.

🔬Research Focus:

Ifeanyi Uwaoma’s research focus encompasses several innovative areas, including wick design and nanofabrication for thermal applications, particularly in solar desalination processes. He is dedicated to the development of alternative and renewable fuels within mechanical systems, and he specializes in heat and mass transfer technologies, including the utilization of nanofluids. Additionally, his work emphasizes energy security and compliance in emerging technologies related to electrified fluids, contributing to advancements in sustainable energy solutions.

Publication Top Notes:

  • Title: Determination of Mass Flow Rate through Plain Mesh Wick and Nano-Structured Mesh Wick for the Design of Thermal Compressor Systems

    Cited by: 1

  • Title: Review on advanced techniques in zero liquid discharge water desalination via humidification-dehumidification within thermally-driven transport reactors
  • Title: Design parameters for fluid flow simulation through mesh wick structures for thermal compressor systems
  • Title: Experimental Characterization of Mass Transport Through Plain and Nanostructured Wick for Thermal Design Applications
  • Title: Radial Temperature Evolution of Wicked Cylindrical Tubes

 

 

 

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

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Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi, Karabuk University, Turkey

Dr. Elnaz Yaghoubi is an expert in energy management and smart microgrids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey. With a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, she focuses on optimizing power consumption and improving energy efficiency in large-scale networks. Her research interests include power system analysis, renewable energy, AI-driven control systems, and smart grid technology. As a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR), Dr. Yaghoubi brings expertise in distributed generation, AI-based energy solutions, and telecommunications.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Yaghoubi’s work on the energy management of smart microgrids, along with her interdisciplinary expertise in AI, power systems, and renewable energy, aligns well with the criteria for the Best Researcher Award. Her research not only advances theoretical knowledge but also has practical implications for the future of energy sustainability and grid reliability. Her innovative approach to combining AI techniques with traditional power management solutions positions her as a leader in the energy systems field.

Education & Expertise:

Dr. Elnaz Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, specializing in energy management of smart microgrids. She also holds a Master’s degree in Electrical Engineering from the Islamic Azad University, Iran, where she focused on optimizing power consumption in large-scale networks.

Research Interests:

Her research is centered around power system analysis, microgrids, renewable energy, and AI-based control systems like machine learning and predictive control. She is passionate about improving energy efficiency and power stability in smart grids.

Work Experience:

Dr. Yaghoubi serves as a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR) and has prior experience in telecommunications, specializing in traffic monitoring and data network design.

Her expertise spans power management, distributed generation, AI-driven energy solutions, and smart grid technology.

Publication Top Notes:

  • “State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques”
    • Citations: 88
    • Published: 2023
  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024

 

 

 

Mr. Ioannis Tselios | Mechanical Systems | Best Researcher Award

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Mr. Ioannis Tselios | Mechanical Systems | Best Researcher Award

Mr. Ioannis Tselios, University of Patras, Greece

Mr. Ioannis Tselios is a Ph.D. candidate in Mechanical Engineering at the University of Patras, focusing on Fault Identification in Rotating Systems through Digital Twin approaches. He holds a Diploma in Mechanical Engineering and Aeronautics from the same university. As a Research Engineer at the Machine Design Laboratory, he has contributed to fatigue analysis and design optimization of UAV crankshafts in collaboration with the Hellenic Air Force. His research expertise includes integrating Artificial Neural Networks with mechanical systems, and he has published work on unbalance estimation in rotating systems.

Professional Profile:

Google Scholar
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Suitability for the Best Researcher Award:

Mr. Ioannis Tselios has demonstrated a strong track record in both academic research and practical engineering applications. His work on fatigue analysis, fault identification, and machine learning in mechanical systems is highly innovative and aligns with current trends in industry 4.0 and predictive maintenance. Additionally, his collaboration with significant industry partners like the Hellenic Air Force and his contributions as a laboratory assistant further strengthen his profile as a researcher committed to advancing both knowledge and education in his field.

Educational Background:

Mr. Ioannis Tselios is currently pursuing a Ph.D. in Mechanical Engineering at the University of Patras (2022-present). His dissertation focuses on Fault Identification in Rotating Systems using Digital Twin approaches. He also holds a Diploma in Mechanical Engineering and Aeronautics from the same university (2016-2021).

Professional Experience:

As a Research Engineer at the Machine Design Laboratory (MDL) in collaboration with the Hellenic Air Force (2023-2024), Mr. Tselios contributed to fatigue analysis and design optimization of UAV crankshafts using Finite Element Methods (FEM). He also served as a Laboratory Assistant, helping undergraduate students in Vibration and Machine Design exercises.

Internship Experience:

In 2020, Mr. Tselios completed an internship as a Mechanical Engineer at Athenian Brewery in Patras.

Research Publications:

His work includes notable publications on Artificial Neural Networks for Unbalance Estimation in rotating systems, highlighting his expertise in integrating machine learning with mechanical design. 📚🤖

Publication Top Notes:

  • Title: Identification of Unbalance in a Rotating System Using Artificial Neural Networks
    • Publication c: 2024
  • Title: Combining Artificial Neural Networks and Mathematical Models for Unbalance Estimation in a Rotating System under the Nonlinear Journal Bearing Approach
    • Publication Year: 2024

 

 

 

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

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Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung Guzmán Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

Professional Profile

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Recommendation for Anthony Kyung Guzmán Leguel for the Best Researcher Award

Anthony Kyung Guzmán Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Master’s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelor’s studies at ITESO.

🎓  Education 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

💼  Experience 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

🏅Awards and Honors 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

🌍 Research Focus 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

📖 Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach

Dr. Yuxuan Tao | Building Structures | Best Researcher Award

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Dr. Yuxuan Tao | Building Structures | Best Researcher Award

Dr. Yuxuan Tao, Southeast University, China

Dr. Tao is a prominent researcher at Southeast University, a leading institution in China, specializing in structural engineering and mechanics. His innovative research focuses on progressive collapse resistance, catenary action, and compressive arch action in concrete structures, which are crucial for enhancing the safety and resilience of buildings under extreme conditions. Utilizing both analytical and numerical methods, Dr. Tao employs advanced simulations and hybrid frameworks to tackle complex engineering challenges. His work addresses pressing issues in civil engineering and disaster management, particularly regarding earthquake resilience. A collaborative scholar, Dr. Tao frequently partners with interdisciplinary teams, contributing to impactful research initiatives that enhance infrastructure safety and performance.

Professional Profile:

Scopus

Suitability for the Award:

Dr. Yuxuan Tao’s innovative research, significant contributions to structural engineering, and commitment to addressing critical challenges in building safety position him as an exemplary candidate for the Best Researcher Award. His work not only advances academic knowledge but also has the potential to influence real-world engineering practices.

Strong Academic Foundation:

Dr. Tao is affiliated with Southeast University, one of the leading institutions in China for engineering, where he has developed a solid foundation in structural engineering and mechanics.

Diverse Methodological Approaches:

Dr. Tao employs both analytical and numerical methods in his research, demonstrating his versatility in tackling complex engineering problems. His work includes advanced simulations and hybrid frameworks that enhance understanding of structural behavior under various scenarios.

Addressing Real-World Challenges:

His focus on progressive collapse and earthquake resilience directly addresses pressing concerns in civil engineering and disaster management. This relevance makes his research critical for developing safer infrastructures.

Collaborative Research Efforts:

Dr. Tao has collaborated with a range of scholars, reflecting his ability to work within interdisciplinary teams and contribute to broader research initiatives. His publications often involve multiple authors, indicating a collaborative approach that enhances the impact of his work.

Publication Top Notes:

  • Title: Progressive Collapse Behavior of Prestressed Concrete Frames with Various Tendon Profiles
    • Year: 2023
    • Citations: 5
  • Title: Analytical Investigation on Catenary Action in Unbonded Prestressed Concrete Beam-Column Subassemblages
    • Year: 2023
    • Citations: 2
  • Title: Analytical Model for Compressive Arch Action in Unbonded Prestressed Concrete Beam-Column Subassemblages Under a Column-Loss Scenario
    • Year: 2022
    • Citations: 11
  • Title: Numerical Investigation on Progressive Collapse Resistance of Post-Tensioned Precast Concrete Beam-Column Assemblies Under a Column-Loss Scenario
    • Year: 2022
    • Citations: 16
  • Title: Numerical Investigation on Compressive Arch Action of Prestressed Concrete Beam-Column Assemblies Against Progressive Collapse
    • Year: 2021
    • Citations: 31

 

 

Dr. Hameed Mutlag Farhan | Computer Engineering | Best Researcher Award

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Dr. Hameed Mutlag Farhan | Computer Engineering | Best Researcher Award

Dr. Hameed Mutlag Farhan, Electrical and Computer Engineering, Turkey

Dr. Farhan, a researcher with a Ph.D. in Electrical and Computer Engineering from Altinbas University, specializes in AI and IoT with a thesis on “Optimal Feature Tuning Model by Variants of Convolutional Neural Network with LSTM for Driver Distraction Detection.” His academic achievements include a high GPA of 3.86/4 and a Master’s in the same field with a focus on “Digital Image Watermarking for Copyright Protection.” Dr. Farhan has pursued additional certifications in Object-Oriented Programming, Database Programming, and Cisco Networking. His research, with publications on deep neural networks for speaker identification and intelligent face mask detection, demonstrates his expertise in deep learning and IoT. His innovative work addresses real-world challenges using advanced technology.

Professional Profile:

Scopus
Google Scholar

Suitability for the Award

Dr. Hameed Mutlag Farhan is highly suitable for the Research for Best Researcher Award due to his comprehensive academic background, innovative research in deep learning and IoT, and his impactful publications. His work has addressed critical issues such as driver distraction, digital image watermarking for copyright protection, and face mask detection in IoT contexts—each of which has significant societal and technological implications.

Academic Background:

Dr. Farhan holds a Ph.D. in Electrical and Computer Engineering from Altinbas University, with a thesis on “Optimal Feature Tuning Model by Variants of Convolutional Neural Network with LSTM for Driver Distract Detection in IoT Platform,” showcasing advanced research in AI and IoT. His academic excellence is further evidenced by a high GPA of 3.86/4.

He completed his Master of Science in Electrical and Computer Engineering from Altinbas University, focusing on “Digital Image Watermarking for Copyright Protection,” with a GPA of 3.64/4, highlighting his foundational expertise in digital image processing.

Certifications:

Dr. Farhan has pursued additional certifications in relevant areas, including Object-Oriented Programming, Database Programming, and Cisco Networking Academy courses. His recent internship in IoT research at the University of València further underscores his commitment to staying at the forefront of emerging technologies.

Research Contributions:

Dr. Farhan has made notable contributions to the field through his publications. His work includes a study on “Speaker Identification Model Based on Deep Neural Networks,” which has garnered attention in the Iraqi Journal for Computer Science and Mathematics, and an “Optimized Face Detector-Based Intelligent Face Mask Detection Model in IoT Using Deep Learning Approach,” published in Applied Soft Computing. These publications highlight his expertise in deep learning, image processing, and IoT applications.

Research Focus and Innovation:

Dr. Farhan’s research interests, particularly in optimizing models using deep learning and IoT technologies, align well with contemporary advancements in the field. His work on driver distraction detection and intelligent face mask detection showcases his ability to address real-world problems using cutting-edge technology.

Publication Top Notes:

  1. Title: Speaker Identification Model Based on Deep Neural Networks
    • Year: 2022
    • Cited by: 57
  2. Title: Optimized Face Detector-Based Intelligent Face Mask Detection Model in IoT Using Deep Learning Approach
    • Year: 2023
    • Cited by: 23
  3. Title: Data Mining and Analysis for Predicting Electrical Energy Consumption
    • Year: 2022
    • Cited by: 2
  4. Title: Data Mining Techniques for Extraction and Analysis of COVID-19 Data
    • Year: 2022
    • Cited by: 1
  5. Title: Optic Disc Segmentation in Human Retina Images with Meta Heuristic Optimization
    • Year: 2022
    • Cited by: 1