Jing Liu | Electrochemistry | Best Researcher Award

Dr. Jing Liu | Electrochemistry | Best Researcher Award

Ningxia University, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Dr. Jing Liu began her academic journey with a deep interest in agricultural and food sciences, which led her to pursue a Ph.D. in Agricultural Engineering from Shandong University of Technology. Her academic rigor and potential in the interdisciplinary field of bioelectronics and food quality sensing became evident early on. In 2022, she expanded her international exposure as a visiting scholar at Seoul National University, where she deepened her expertise in biomimetic and nanomaterial-based sensors. Her early research laid a solid foundation in understanding flavor chemistry, particularly starting with umami molecules, which evolved into more complex biomimetic systems inspired by human sensory perception.

🏛️ Professional Endeavors

Since May 2024, Dr. Liu has been serving as an Associate Professor at Ningxia University, China. Her swift transition into this academic leadership role reflects her outstanding performance and potential as a young researcher. She has actively led cutting-edge research projects, including a National Natural Science Foundation of China (NSFC) Youth Project, while also taking on multiple academic service roles. Her positions on editorial boards and in professional societies demonstrate a growing influence and recognition within the fields of food biosensing and digital food technologies.

🔬 Contributions and Research Focus

Dr. Liu’s core research revolves around the development of bioelectronic sensing platforms for evaluating food flavor quality, bridging agricultural engineering with nanotechnology and sensory biology. Her work innovatively combines nanomaterials like MXenes, metal-organic frameworks (MOFs), and hydrogels to create biomimetic sensors. She focuses on (i) designing antifouling hydrogel matrices, (ii) building nanocomposite interfaces that mimic human taste receptors, (iii) detecting volatile and non-volatile compounds across solid-liquid-gas interfaces, and (iv) unraveling the mechanisms of signal transduction in biosensor systems. Her vision is to develop real-time, highly specific biosensors that can mimic human senses—paving the way for smart packaging and AI-integrated digital food systems.

🌍 Impact and Influence

Despite being in the early stages of her professorial career, Dr. Liu has already made meaningful contributions to food technology and sensor development. She has published 10 scientific papers, with 9 appearing in Q1 SCI journals as first or co-first author—underscoring the high quality and relevance of her research. Her work has laid the groundwork for practical applications in food freshness detection, flavor profiling, and intelligent packaging systems. Her coaching efforts led student teams to achieve Gold and Best Business Value awards in the prestigious 2024 China International College Students’ Innovation Competition, highlighting her mentorship abilities and entrepreneurial foresight.

📚 Academic Citations

Although still early in her academic journey, Dr. Liu’s scholarly work is gaining traction within the research community, particularly in the fields of food biosensing, flavor science, and nanomaterial applications. Her high journal quality publication ratio (Q1 SCI) reflects the rigor and novelty of her research, suggesting a promising future in terms of citations and academic influence.

🧪 Technical Skills

Dr. Liu is proficient in a range of interdisciplinary tools and technologies, including the synthesis and characterization of nanomaterials (MXenes, MOFs), hydrogel engineering, sensor fabrication, bioelectronic signal analysis, and real-time flavor detection systems. Her expertise in interfacing nanomaterials with biological mechanisms makes her uniquely positioned to innovate at the intersection of materials science and sensory biology.

👩‍🏫 Teaching Experience

At Ningxia University, Dr. Liu has begun shaping the next generation of researchers and professionals in food science and sensor technology. Her teaching integrates practical research experience with theoretical understanding, and she actively mentors students in research and innovation projects. Her role as a coach in major national competitions showcases her ability to guide students beyond the classroom and into competitive, high-impact environments.

🤝 Editorial & Professional Roles

Dr. Liu serves as a Youth Editorial Board Member for Journal of Future Foods and Food Research and Development, and holds a similar position in Food and Medicine Homology. Her professional affiliations include being a council member of the Chinese Association of Traditional Chinese Medicine Informatics and Deputy Secretary-General of its Subcommittee on Digital Detection of Food and Drug Quality and Safety. These roles highlight her recognition as an emerging leader in the integration of food science, informatics, and sensor technologies.

🌟 Legacy and Future Contributions

Dr. Liu is building a legacy as a trailblazer in digital flavor sensing and bioinspired sensor development. Her research holds transformative potential for real-world applications, such as intelligent food packaging, freshness verification systems, and smart kitchen technologies. With her innovative mindset, strong academic foundation, and growing leadership, she is poised to shape the future of food quality assurance in the era of smart agriculture and the Internet of Things (IoT). Her continued work will likely intersect with AI, digital health, and consumer food technology—making her a vital contributor to global food innovation.

📖Notable Publications

Au₂PtNPs/hydrogel based multichannel bionic sensor for rapid evaluation of food flavor
Journal: Food Chemistry
Year: 2025

Recent progress on bionic umami sensors for analysis of food flavor: A review
Journal: (Journal name not provided)
Year: 2025

Electrochemical aptamer sensor based on bimetallic CuZr-MOF and AuNPs for ultrasensitive detection of organophosphorus pesticides in vegetables
Journal: Journal of Food Composition and Analysis
Year: 2025

Umami peptide synergy unveiled: A comprehensive study from molecular simulation to practical validation of sensing strategy
Journal: Biosensors and Bioelectronics
Year: 2025

Bridge-type aptamer-Au@Pt-MXene-based sensing platform for detection of multiple organophosphorus pesticides
Journal: Microchemical Journal
Year: 2025

 

Mohamed Issa | Electrochemistry | Best Researcher Award -1744

Assoc. Prof. Dr. Mohamed Issa | Electrochemistry | Best Researcher Award

Egypt Japan University Of Science & Technology, Egypt

👨‍🎓Profiles

🏫 Early Academic Pursuits

Dr. Mohamed Issa embarked on his academic journey with a B.Sc. in Computer Engineering from the Faculty of Engineering, Zagazig University, in 2009, earning an Excellent with Honor distinction. His passion for computer systems and engineering led him to pursue higher education, obtaining an M.Sc. in Computer Engineering in 2013 from the same institution. His research during this period laid a strong foundation for his expertise in meta-heuristics, soft computing algorithms, and artificial intelligence. He further cemented his academic credentials by earning a Ph.D. in Computer Engineering in 2019 from Zagazig University, focusing on advanced computational techniques.

🎓 Professional Endeavors

Dr. Issa's professional career reflects a steady progression through academia. His tenure at Zagazig University began in 2013 as a Teaching Assistant, where he played a crucial role in guiding students in computer engineering subjects. He later advanced to Lecturer Assistant until 2019, when he earned his Ph.D. and transitioned into a full-time Assistant Professor at the Computer and Systems Department, Faculty of Engineering, Zagazig University. In parallel, he contributed to multiple institutions, including NAHDA University and the Higher Technological Institute in Tenth of Ramadan City, as a Part-time Assistant Professor, bringing his expertise in computer science to a broader student community.

His academic growth was officially recognized in 2024 when he was promoted to Associate Professor. He currently holds dual appointments:

  • Full-time Associate Professor at Egypt-Japan University for Science and Technology (E-JUST).
  • Full-time Associate Professor at Zagazig University’s Computer and Systems Department.

These roles underline his national and international contributions to higher education and research.

🧠 Contributions and Research Focus

Dr. Issa’s research contributions span multiple disciplines, with a strong focus on artificial intelligence and computational optimization. His work includes:
✅ Soft Computing Algorithms – Developing and refining computational models for intelligent systems.
✅ Meta-heuristics & Stochastic Algorithms – Enhancing optimization techniques used in engineering and artificial intelligence.
✅ Engineering Problems Optimization – Applying AI-driven approaches to solve complex real-world engineering challenges.
✅ Artificial Intelligence & Machine Learning – Advancing AI methodologies for automation and decision-making.
✅ Computer Vision – Exploring image processing and pattern recognition techniques.
✅ Parallel Computing – Leveraging multi-core and distributed systems for computational efficiency.
✅ Bioinformatics – Implementing AI algorithms for genetic data analysis and biomedical research.

His research contributions have been widely recognized, particularly in machine learning-based optimization, AI-driven decision-making systems, and bioinformatics applications.

🌍 Impact and Influence

Dr. Issa has made a significant impact in the fields of computer science, engineering optimization, and artificial intelligence. His work has influenced research directions in multiple domains, including:
🔹 Developing enhanced meta-heuristic algorithms for complex optimization problems.
🔹 Advancing AI methodologies for industrial and healthcare applications.
🔹 Contributing to bioinformatics research, particularly in sequence alignment and computational biology.

His research has been cited extensively in top-tier scientific journals, showcasing his influence in the global research community.

📊 Academic Citations & Recognition

Dr. Issa’s work has gained considerable academic recognition, reflected in the high citation counts of his publications. His peer-reviewed research in top journals such as Expert Systems with Applications, Applied Soft Computing, and Sustainable Energy Technologies and Assessments highlights his expertise in AI and optimization. His interdisciplinary approach has fostered collaborations with researchers worldwide, further elevating his academic stature.

🔧 Technical Skills

Dr. Issa is proficient in a wide range of technical and analytical tools, including:
✔ Programming Languages: Python, C++, MATLAB, Java.
✔ Optimization Techniques: Meta-heuristics, Evolutionary Algorithms, Swarm Intelligence.
✔ AI & Machine Learning: Deep Learning, Neural Networks, Reinforcement Learning.
✔ Computational Tools: TensorFlow, OpenCV, Scikit-learn, PyTorch.
✔ Parallel Computing: GPU programming, CUDA, OpenMP.

👨‍🏫 Teaching Experience & Mentorship

With over a decade of teaching experience, Dr. Issa has guided numerous undergraduate and postgraduate students. His dynamic teaching methodology integrates theoretical concepts with practical applications, ensuring students gain hands-on experience in AI, optimization, and bioinformatics. He has also mentored students in their research projects, dissertations, and international competitions, many of whom have gone on to pursue successful careers in academia and industry.

🚀 Legacy and Future Contributions

Dr. Mohamed Issa continues to drive innovation and knowledge in artificial intelligence, bioinformatics, and optimization algorithms. His future research directions include:
🔸 Developing cutting-edge AI models for next-generation computing.
🔸 Enhancing computational efficiency through advanced parallel processing.
🔸 Bridging AI and healthcare to create predictive and diagnostic tools.
🔸 Spearheading interdisciplinary collaborations to address emerging global challenges.

Through his extensive research, teaching, and mentorship, Dr. Issa is shaping the future of AI-driven innovation and contributing to scientific advancements that impact both industry and academia.

📖Notable Publications

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Authors: M. Issa, D. Oliva, A.E. Hassanien, H. Ahmed, A. Ahmed

Journal: Expert Systems with Applications

Year: 2018

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

Authors: A.H. Elsheikh, S. Shanmugan, R. Sathyamurthy, A.K. Thakur, M. Issa, ...

Journal: Sustainable Energy Technologies and Assessments

Year: 2022

Passive vehicle suspension system optimization using Harris Hawk Optimization algorithm

Authors: M. Issa, A. Samn

Journal: Mathematics and Computers in Simulation

Year: 2022

Enhanced arithmetic optimization algorithm for parameter estimation of PID controller

Authors: M. Issa

Journal: Arabian Journal for Science and Engineering

Year: 2023

Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

Authors: M.E. Issa, A.M. Helmi, M.A.A. Al-Qaness, A. Dahou, M. Abd Elaziz, ...

Journal: Healthcare

Year: 2022

Optimal parameters extracting of fuel cell based on Gorilla Troops Optimizer

Authors: M. Abd Elaziz, L. Abualigah, M. Issa, A.A. Abd El-Latif

Journal: Fuel

Year: 2023

Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithm

Authors: M. Issa, M. Abd Elaziz

Journal: Applied Soft Computing

Year: 2020

Keshavananda Prabhu C P | Electrochemistry and Synthesis | Best Researcher Award

Dr. Keshavananda Prabhu C P | Electrochemistry and Synthesis | Best Researcher Award

Gachon University South Korea

👨‍🎓Profiles

🧑‍🎓 Early Academic Pursuits

He embarked on his academic journey with a strong foundation in chemistry. After completing his Master’s degree (M.Sc.) in Chemistry from the University of Mysore with first-class honors, he pursued a B.Ed. in Physical Science from the same university, graduating with distinction. His passion for advanced research led him to obtain a Ph.D. in Chemistry from Vijayanagara Sri Krishnadevaraya University, Ballari. His doctoral thesis, “Synthesis of Substituted N4 Macrocycles for Biological and Electrochemical Applications,” laid the groundwork for his subsequent research contributions.

🧑‍🔬 Professional Endeavors

He is currently an Assistant Professor at Gachon University, South Korea, contributing to cutting-edge research in OLED materials. His prior roles include serving as a Research Professor at Kyung Hee University, Seoul, where he specialized in OLED and thermally activated delayed fluorescence (TADF) materials, and as a Guest Faculty Member at Vijayanagara Sri Krishnadevaraya University.

🧪 Research Focus and Contributions

His research centers on the synthesis of innovative materials such as: OLED materials, including TADF, multi-resonance TADF (MR-TADF), and hyper-fluorescence materials, Electron Transporting Layer (ETL) materials and host materials for advanced display technologies, N4 Macrocyclic materials like phthalocyanines for biological and electrochemical applications.

Electrochemical Applications

He has conducted pioneering work in: Designing and fabricating electrochemical sensors with high sensitivity, Investigating electrocatalytic processes like hydrogen evolution reactions (HER) and oxygen evolution reactions (OER) for energy storage and conversion devices.

📊 Theoretical Insights

He applies DFT and TDDFT methods to understand photophysical and optoelectronic properties, enabling the development of efficient materials for OLEDs and energy applications.

🏆 Awards and Recognition

Dr. Prabhu’s contributions have earned him accolades, including the Best Paper Award at the Korean Optical Society’s 2022 Summer Academic Presentation for his work on “Deep Blue Multi-Resonant TADF Emitters” achieving over 30% EQE.

🧰 Technical Skills

Dr. Prabhu is proficient in various advanced techniques, including: Spectroscopic Analysis: UV-Vis, fluorescence spectroscopy, quantum yield determination, and transient PL spectra, Electrochemical Techniques: Cyclic Voltammetry (CV), Electrochemical Impedance Spectroscopy (EIS), and chronoamperometry, Characterization Tools: NMR, XRD, MALDI-TOF Mass Spectrometry, and HPLC (RP).

📚 Teaching Experience

Dr. Prabhu has demonstrated exceptional teaching skills as a Guest Faculty Member in India and now as an Assistant Professor in South Korea. His expertise and dedication have inspired numerous students in advanced chemistry and material science.

🌍 Impact and Influence

Dr. Prabhu’s research has significantly impacted fields such as: Biological Applications: Developing N4 macrocyclic materials for photodynamic therapy (PDT), Sensor Technology: Enhancing sensitivity and reliability for real-time detection, Energy Devices: Advancing electrocatalysis for renewable energy solutions.

✨ Legacy and Future Contributions

Dr. Prabhu envisions a future of transformative research in OLED materials for next-generation displays and sustainable energy solutions. His ongoing projects, including collaborations with industry leaders like SAMSUNG Display, aim to revolutionize energy-efficient display technologies and contribute to global advancements in material science.

📖Notable Publications

  1. Acceptor-donor-acceptor based thermally activated delayed fluorescent materials: structure-property insights and electroluminescence performances
    • Authors: Keshavananda Prabhu, C.P., Naveen, K.R., Hur, J.
    • Journal: Materials Chemistry Frontiers
    • Year: 2023
  2. Modular design for constructing narrowband deep-blue multiresonant thermally activated delayed fluorescent emitters for efficient organic light emitting diodes
    • Authors: Naveen, K.R., Lee, H., Seung, L.H., Muruganantham, S., Kwon, J.H.
    • Journal: Chemical Engineering Journal
    • Year: 2023
  3. Novel polymeric zinc phthalocyanine for electro-oxidation and detection of ammonia
    • Authors: Keshavananda Prabhu, C.P., Aralekallu, S., Palanna, M., Renuka, B., Sannegowda, L.K.
    • Journal: Journal of Applied Electrochemistry
    • Year: 2022
  4. Nanomolar detection of 4-nitrophenol using Schiff-base phthalocyanine
    • Authors: Sajjan, V.A., Aralekallu, S., Nemakal, M., Keshavananda Prabhu, C.P., Koodlur Sannegowda, L.
    • Journal: Microchemical Journal
    • Year: 2021
  5. Non-precious cobalt phthalocyanine-embedded iron ore electrocatalysts for hydrogen evolution reactions
    • Authors: Prabhu, C.P.K., Aralekallu, S., Sajjan, V.A., Kumar, S., Sannegowda, L.K.
    • Journal: Sustainable Energy and Fuels
    • Year: 2021
  6. Nanomolar detection of mercury(II) using electropolymerized phthalocyanine film
    • Authors: Palanna, M., Aralekallu, S., Keshavananda Prabhu, C.P., Mounesh, Sannegowda, L.K.
    • Journal: Electrochimica Acta
    • Year: 2021
  7. Phthalocyanine sheet polymer-based amperometric sensor for the selective detection of 2,4-dichlorophenol
    • Authors: Mohammed, I., Nemakal, M., Aralekallu, S., Keshavananda Prabu, C.P., Sannegowda, L.K.
    • Journal: Journal of Electroanalytical Chemistry
    • Year: 2020