Dimiter Alexandrov | Analytical Chemistry | Best Researcher Award

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Prof. Dr. Dimiter Alexandrov | Analytical Chemistry | Best Researcher Award

Lakehead University, Canada

👨‍🎓Profiles

🎓 Academic and Professional Background

Prof. Dimiter Alexandrov earned his Ph.D. in semiconductors from the Technical University of Sofia, where his research focused on the electron band structures of semiconductors. He began his academic career as an Assistant Professor at the Technical University of Sofia before joining Lakehead University, Canada, as an Associate Professor. In 2011, he was promoted to Full Professor. His expertise spans low energy nuclear fusion reactions and nitride semiconductors, contributing significantly to both theoretical and experimental advancements.

🔬 Research and Innovations

Prof. Alexandrov has been actively involved in groundbreaking research in the following areas: Low Energy Nuclear Fusion Reactions – Experimentation and theoretical development. Semiconductor Technology and Theory – Innovations in nitride semiconductors.

📊 Research Contributions

Prof. Dimiter Alexandrov has actively contributed to the advancement of semiconductor technology and nuclear fusion research through his extensive research and industry collaborations. He has successfully completed or is currently involved in eight research projects, reflecting his dedication to pioneering scientific exploration. His work has gained 215 citations, demonstrating its impact within the academic and research communities. In addition to his scholarly contributions, Prof. Alexandrov has undertaken two industry consultancy projects, bridging the gap between theoretical research and practical applications. His two patents, currently published or under process, further highlight his innovative contributions to semiconductor technology. With 52 publications in prestigious journals indexed in SCI and Scopus, he has made significant contributions to scientific literature. His expertise has also been recognized through an editorial appointment, reinforcing his role in shaping research directions in his field. Furthermore, he actively engages in international collaborations, including Erasmus partnerships and industrial collaborations, fostering global advancements in semiconductor and nuclear fusion research.

🏆 Scientific Contributions and Breakthroughs

Prof. Alexandrov’s work has led to three major scientific breakthroughs: Low Energy Nuclear Fusion – He was the first to achieve replicable low-energy nuclear fusion reactions, producing a significant energy release correlated with helium emission. Semiconductor Innovations – He successfully developed epitaxial layers of GaN on ceramic substrates and achieved epitaxial layers of InN with a 1.9 eV energy band gap, marking a significant milestone in semiconductor technology. Discovery of Optical Effects in Disordered Semiconductors – He identified two critical effects: tunnel optical absorption and exciton formation in disordered semiconductor structures.

🤝 Professional Memberships

Prof. Alexandrov is an active member of several prestigious organizations:

  • Professional Engineers Ontario
  • Canadian Nuclear Society
  • Fusion Energy Council Canada
  • International Society of Condensed Matter Nuclear Science

🌍 Impact and Future Contributions

With his pioneering research in nuclear fusion and semiconductor physics, Prof. Alexandrov continues to shape the future of energy generation and electronic materials. His discoveries in low energy nuclear fusion could revolutionize clean energy solutions, while his semiconductor innovations contribute to next-generation electronics and optoelectronic devices.

📖Notable Publications

  • Energy Release in Deuterium–Constantan Interactions

    • Authors: D. Alexandrov
    • Journal: Energies
    • Year: 2025

  • Artificial Intelligence in the Controlled Nuclear Fusion Reactions

    • Authors: D. Alexandrov
    • Journal: [No source information available]
    • Year: [Not specified]

  • Piezoelectric Elements with PVDF–TrFE/MWCNT-Aligned Composite Nanowires for Energy Harvesting Applications

    • Authors: M.P. Aleksandrova, T.D. Tsanev, B. Kadikoff, K.I. Nedelchev, I. Kralov
    • Journal: Crystals
    • Year: 2023

  • Structure and Bandgap Determination of InN Grown by RP-MOCVD

    • Authors: R. Dubreuil, J. Tot, M. Nagorski, A. Moewes, D. Alexandrov
    • Journal: Journal of Materials Science: Materials in Electronics
    • Year: 2022

 

 

 

Yi Yu | Materials Chemistry | Best Researcher Award

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Prof. Yi Yu | Materials Chemistry | Best Researcher Award

Gannan Normal University, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Professor Yi Yu embarked on his academic journey with a strong foundation in photonics and materials science. His early research was focused on the development of novel inorganic optical materials, particularly for white light-emitting diodes (wLEDs). With a keen interest in the intersection of physics and material engineering, he pursued higher education that provided him with expertise in optical properties, luminescent materials, and photonic applications.

🏛️ Professional Endeavors

Currently serving as a Professor at Gannan Normal University, China, Yi Yu has been actively engaged in research, teaching, and mentoring young scientists. His expertise in optical materials has earned him recognition as a leading figure in photonics. In 2020, he received the prestigious Natural Science Foundation of Jiangxi Province for Distinguished Young Scholars, highlighting his contributions to the field.

🔬 Contributions and Research Focus

Professor Yi Yu’s research primarily revolves around inorganic optical materials for wLEDs and related applications. His work aims to improve the efficiency, stability, and color quality of wLEDs, making them more sustainable and commercially viable. He has contributed significantly to material synthesis, luminescent enhancement, and photonic device integration. His research findings have led to advancements in LED lighting technology, benefiting industries such as display technology, automotive lighting, and smart illumination systems.

🌍 Impact and Influence

With an extensive body of work in photonics, Professor Yi Yu has influenced both academic and industrial sectors. His research has helped bridge the gap between fundamental optical science and practical LED applications. His work is frequently cited by researchers in photonics, materials science, and semiconductor technology, demonstrating its broad impact.

📚 Academic Citations and Publications

Professor Yi Yu has published numerous high-impact research papers in SCI-indexed journals, solidifying his reputation as a key contributor to the field. His research articles are widely referenced, showcasing his role in advancing knowledge on luminescent materials, phosphors for LEDs, and energy-efficient lighting solutions.

⚙️ Technical Skills and Expertise

Yi Yu’s technical expertise spans across:

  • Synthesis of inorganic optical materials
  • Spectroscopic analysis of luminescent materials
  • Optoelectronic device fabrication
  • Photonic material characterization
  • Thermal stability and efficiency optimization in wLEDs

🎓 Teaching Experience and Mentorship

As a Professor, Yi Yu is dedicated to mentoring the next generation of photonics researchers. He has guided numerous students in their graduate and doctoral studies, helping them explore cutting-edge research in optical materials. His teaching methodology integrates theoretical knowledge with hands-on experimental training, ensuring that students develop both conceptual understanding and practical expertise.

🏆 Legacy and Future Contributions

Professor Yi Yu’s work continues to shape the future of photonics, with ongoing projects aimed at enhancing LED performance, developing next-generation luminescent materials, and expanding applications of inorganic optical materials. His contributions not only advance academic research but also pave the way for technological innovations in energy-efficient lighting and optoelectronics.

📖Notable Publications

Constructing core-shell structural bimetallic CoNi alloys doped carbon aerogels for highly efficient electromagnetic wave absorption
Authors: Q. Xu, X. Zhu, J. Yu, X. Liu, X. Zeng
Journal: Journal of Alloys and Compounds
Year: 2025

Benefit of Tb³⁺ ions to the spectral properties of Dy³⁺/Tb³⁺:CaYAlO₄ crystal for use in yellow laser
Authors: Y. Gong, Y. Wang, Z. Wang, Y. Sun, Y. Yu
Journal: Journal of Luminescence
Year: 2024

Benefit of Pr³⁺ ions to the spectral properties of Er³⁺/Pr³⁺:SrLaAlO₄ crystal for use in 2.7 μm mid-infrared laser
Authors: Y. Wang, J. Cheng, Y. Gong, Y. Sun, Y. Yu
Journal: Journal of Luminescence
Year: 2023

Dual-emission center ratiometric optical thermometer based on Bi³⁺ and Mn⁴⁺ co-doped SrGd₂Al₂O₇ phosphor
Authors: Y. Yu, K. Shao, C. Niu, X. Zhang, Y. Wang
Journal: RSC Advances
Year: 2023

Mohamed Issa | Electrochemistry | Best Researcher Award -1744

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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

Ayush Amod | Nanotechnology | Best Researcher Award

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Mr. Ayush Amod | Nanotechnology | Best Researcher Award

Indian Institute of Information Technology, India

👨‍🎓Profiles

🎓 Early Academic Pursuits

Ayush Amod began his academic journey with a strong foundation in Life Sciences, earning both his Bachelor's and Master's degrees from the University of Allahabad (UoA), India. His keen interest in interdisciplinary sciences led him to pursue a Master of Technology (M.Tech) in Bioinformatics from the Indian Institute of Information Technology, Allahabad (IIIT-A). With a passion for research, he secured a prestigious Junior Research Fellowship (JRF) by ICMR (All India Rank-18) and also qualified the National Eligibility Test (NET) by CSIR (All India Rank-50), showcasing his excellence in the field of medical and computational biology.

🏅 Professional Endeavors

Currently serving as an ICMR-SRF Research Scholar at IIIT-Allahabad, Ayush Amod is in the final phase of his doctoral studies at the Department of Applied Sciences. His research is primarily centered on understanding bacterial biofilm infections, nanobiotechnology, and bioinformatics. His collaborative efforts with Central Drug Research Institute (CDRI), Lucknow have further enhanced the translational impact of his work.

🔬 Contributions and Research Focus

Ayush Amod’s research contributions have been instrumental in advancing bioinformatics and computational biology, particularly in drug discovery and disease therapeutics. His work on strigolactone analogues focused on investigating the role of HDAC1 and HDAC2 inhibitors in hepatocellular carcinoma, leading to a significant publication in Biotechnology Letters (2022). During the COVID-19 pandemic, he contributed to drug discovery by evaluating the phytoconstituents of Tinospora cordifolia against SARS-CoV-2 K417N and N501Y mutant spike glycoprotein and its main protease, providing valuable insights into potential antiviral therapeutics. Additionally, he played a key role in the development of the Anti-Ebola Peptide Database (AEPDB), a specialized and comprehensive resource of antiviral peptides against the Ebola virus, making a meaningful impact on computational virology and peptide-based drug discovery.

📊 Impact and Influence

Ayush has made remarkable progress in the field of bioinformatics, contributing to 7 SCI-indexed research papers and maintaining an h-index of 4 and i10-index of 2, reflecting the significance of his work. His research bridges the gap between computational biology and medical sciences, aiding drug discovery and therapeutic development.

📚 Academic Citations & Publications

With a total of 7 SCI-indexed publications, his work is gaining widespread recognition in the scientific community. His research has been referenced by fellow scholars working in drug discovery, computational biology, and nanobiotechnology.

🛠 Technical Skills

Ayush possesses expertise in a diverse range of computational and laboratory techniques, enabling him to make significant contributions to bioinformatics and drug discovery. His proficiency in molecular docking and dynamics simulations allows for the detailed analysis of biomolecular interactions, crucial for understanding drug-target mechanisms. He is skilled in computational drug discovery, utilizing advanced algorithms and modeling techniques to identify potential therapeutic compounds. Additionally, his experience in bioinformatics database development has contributed to the creation of specialized resources for antiviral research. With a strong background in high-performance computing for biological data analysis, he efficiently processes large-scale genomic and proteomic datasets, enhancing the accuracy and speed of computational biology applications.

🎓 Teaching Experience & Knowledge Sharing

As a dedicated researcher, Ayush has mentored junior scholars in bioinformatics and computational biology. He has actively engaged in scientific discussions and workshops to help budding researchers develop skills in molecular modeling, drug discovery, and bioinformatics tools.

🌟 Legacy and Future Contributions

With an interdisciplinary research approach, Ayush Amod is poised to make groundbreaking contributions in computational biology and nanobiotechnology. His ongoing research on bacterial biofilm infections and drug resistance will play a crucial role in developing novel therapeutic strategies. Looking ahead, he aims to expand his work in AI-driven drug discovery and personalized medicine, contributing towards a better understanding of infectious diseases and their treatment.

📖Notable Publications

  1. A Specialized and Comprehensive Resource of Antiviral Peptides against Ebola Virus
    • Authors: Mondal, R.K., Anand, A.A., Amod, A., Pal, O., Samanta, S.K.
    • Journal: International Journal of Peptide Research and Therapeutics
    • Year: 2025
  2. A comprehensive guide on screening and selection of a suitable AMP against biofilm-forming bacteria
    • Authors: Anurag Anand, A., Amod, A., Anwar, S., Sethi, G., Samanta, S.K.
    • Journal: Critical Reviews in Microbiology
    • Year: 2024
  3. Finding Novel AMPs Secreted from the Human Microbiome as Potent Antibacterial and Antibiofilm Agents and Studying Their Synergistic Activity with Ag NCs
    • Authors: Singh, A., Amod, A., Mulpuru, V., Sahoo, A.K., Samanta, S.K.
    • Journal: ACS Applied Bio Materials
    • Year: 2023
  4. Evaluation of phytoconstituents of Tinospora cordifolia against K417N and N501Y mutant spike glycoprotein and main protease of SARS-CoV-2- an in silico study
    • Authors: Choudhary, P., Singh, T., Amod, A., Singh, S.
    • Journal: Journal of Biomolecular Structure and Dynamics
    • Year: 2023
  5. Network pharmacological evaluation of strigolactones efficacy as potential inhibitors against therapeutic targets of hepatocellular carcinoma
    • Authors: Amod, A., Pahal, S., Choudhary, P., Gupta, A., Singh, S.
    • Journal: Biotechnology Letters
    • Year: 2022
  6. Bacterial biofilm infections, their resistance to antibiotics therapy and current treatment strategies
    • Authors: Singh, A., Amod, A., Pandey, P., Sahoo, A.K., Samanta, S.K.
    • Journal: Biomedical Materials (Bristol)
    • Year: 2022