Arash Kamran-Pirzaman | Adsorbtion | Best Researcher Award

Posted on by ScienceFather

 Dr.ArashKamranPirzaman|Adsorbtion| Best Researcher Award

Dr. Arash Kamran-Pirzaman University of Science and Technology of Mazandaran, Iran

Dr. Arash Kamran-Pirzaman is an Associate Professor in the Department of Chemical Engineering at the University of Science and Technology of Mazandaran in Behshahr, Iran. His research encompasses chemical engineering, petroleum engineering, environmental engineering, gas hydrates, and thermodynamics. Dr. Kamran-Pirzaman has contributed to over 49 publications, with a focus on topics such as gas hydrate modeling, carbon dioxide sequestration, and the synthesis of nanoparticles. He has also served as the Scientific Chair for the 9th International Conference on Technology and Energy Management.

Publication Profile

Scopus

Academic and Professional Background

Dr. Arash Kamran-Pirzaman earned his Ph.D. in Chemical Engineering from Tarbiat Modares University (TMU), Tehran, Iran, between 2007 and 2012. His doctoral research focused on “Determining a Suitable Thermodynamic Model for Hydrate Formation and Investigating Phase Behavior of Systems with Thermodynamic Promoters” under the supervision of Dr. H. Pahlavanzadeh and Dr. Amir H. Mohammadi. Prior to this, he obtained his M.Sc. in Chemical Engineering with a specialization in Catalyst and Thermo-kinetics from Sharif University of Technology (SUT), Tehran, Iran (2002-2004). His master’s thesis examined the kinetic study of polyurethane production utilizing HTPB resin and an IPDI curing agent.

🔬 Research Focus

His research primarily focuses on:Thermodynamics and Phase Equilibrium (VLE, LLE, Electrolytes)Gas Hydrates, including thermodynamic promoters, inhibitors, and kineticsPetroleum and Gas Industry, solubility, and viscosity studiesNatural Gas Production & Processing, including gas sweeteningBiodiesel production, catalysis, and reaction kineticsPolymers and Nanocomposites, emphasizing physical, mechanical properties, and kineticsSeparation technologies, adsorption processes, and photocatalysts

Skills and Expertise

Dr. Kamran-Pirzaman has extensive experience with various software applications essential for chemical engineering analysis, including:Process Simulation & Modeling: Aspen Plus, HysysStatistical & Data Analysis: SPSS, MinitabProgramming & Computational Tools: MATLAB, Visual Basic

Awards and Recognitions

Recognized as the Top Researcher of the University in 2019Top Researcher of the Chemical Engineering Department in 2017 and 2021Organizer of the Third National Conference on Gas HydrateScientific Secretary of the 9th International Conference on Technology and Energy Management

Publication Top Notes

  1. Gholinezhad, R. M., Gholipour-Zanjani, N., Kamran-Pirzaman, A., & Zahed, B. (2023). Evaluation of drug delivery of allicin liposome based on phosphatidylethanolamine and salep-based hydrogel. Journal of Applied Chemistry, 18(67), 107-124. https://doi.org/10.22075/CHEM.2022.26440.2056

  2. Aga Pour, S., & Kamran-Pirzaman, A.* (2024). Experimental and theoretical study of the solvent activity in aqueous polyvinyl pyrrolidone solution by direct/indirect methods and presentation of a new Eyring-Flory Huggins model. Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 43(1). https://doi.org/10.30492/IJCCE.2023.1998772.5929

  3. Baladehi, M., Kamran-Pirzaman, A.*, Mohammad-Taheri, M., Taheri Rizi, Z., & Ali, M. (2023). Thermodynamic modeling of sour gas mixture (CH₄/C₃H₈/H₂S) hydrate formation in the presence of thermodynamic inhibitors MEG, NaCl, and CaCl₂ using the ion pair concept. Petroleum Science and Technology. https://doi.org/10.1080/10916466.2024.2337400

  4. Abdirad, N., & Kamran-Pirzaman, A.* (2023). Procedure optimization for green synthesis of magnetic copper nanoparticles by aqueous Alcea medicinal plant extract and their photocatalytic properties. ChemistrySelect. https://doi.org/10.1002/slct.202302703

  5. Seif, M., Kamran-Pirzaman, A.*, Lal, B., & Bavoh, C. B. (2023). Modeling of CH₄/CO₂ hydrate phase behavior in organic and electrolyte inhibitors by Dickens’ model. Petroleum Science and Technology, 41, 2089-2111. https://doi.org/10.1080/10916466.2022.2106242

  6. Aminolroayaei, M. A., Taheri Rizi, Z.*, Mohammad-Taheri, M., Kamran-Pirzaman, A., Dehbandi Baladehi, M., & Ehsani, M. R. (2022). Experimental measurements and thermodynamic modeling of CH₄ + H₂S + MEG hydrate phase-equilibrium conditions at 6.2–12.3 MPa. Journal of Chemical Engineering Data, 67(9), 2384-2392. https://doi.org/10.1021/acs.jced.2c00111

Conclusion

Considering his research excellence, academic impact, and leadership in the field, Dr. Kamran-Pirzaman is a highly suitable candidate for the Best Researcher Award. With further international collaborations and industry partnerships, he can elevate his research contributions to an even higher level.

Syed Ali Raza Shah | Microbiology | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Syed Ali Raza Shah | Microbiology | Best Researcher Award

Assistant Professor at The University of Lahore, Pakistan

Dr. Syed Ali Raza Shah is an Assistant Professor at the University of Lahore, specializing in microbiology, infectious diseases, and immunoproteomics. He earned his PhD in Microbiology from Abdul Wali Khan University Mardan (2023) and holds an MPhil in Microbiology from Hazara University. With extensive research on Helicobacter pylori, tuberculosis, and bioinformatics, he has published multiple high-impact studies. His professional journey includes research roles at University of Malaya, IIUI, and AWKUM. Fluent in English, Urdu, and Pashto, he is skilled in technical report writing and computational tools. 📧

Publication Profile 

Google Scholar

🎓 Educational Background

Dr. Syed Ali Raza Shah holds a PhD in Microbiology & Infectious Diseases from Abdul Wali Khan University Mardan (2018-2023) 🦠. He completed his MPhil in Microbiology from Hazara University, Mansehra (2013-2015) with a 3.35/4.00 GPA 📚. His academic journey began with a BS (Hon’s) in Microbiology from the University of Peshawar (2008-2012), where he achieved a 3.37/4.00 GPA 🔬. He excelled in F.Sc (Pre-Medical) from Islamia College Peshawar (2005) with 78.8% and SSC from Islamia Collegiate School, University of Peshawar (2003) with 78.3% 🏆.

🏅 Professional Experience 

Dr. Syed Ali Raza Shah is an Assistant Professor at The University of Lahore (since February 2024) 🎓. He previously served as Visiting Faculty at Abdul Wali Khan University Mardan (2023-2024) and International Islamic University, Islamabad (2022-2023) 🏛️. He worked as a Research Associate at the University of Malaya, Malaysia (2022) and Abdul Wali Khan University Mardan (2019-2022) 🔬. His teaching career includes roles as a Lecturer at ManJanbazam Cadet College (2018-2019) and Glorious College of Sciences, Swabi (2016-2017) 📚. Additionally, he worked as a Community Science Teacher and Internee at Khyber Teaching Hospital (2012-2013) 🏥.

🔬 Research Focus of Dr. Syed Ali Raza Shah

Dr. Syed Ali Raza Shah specializes in microbiology and molecular biotechnology 🦠. His expertise includes bacterial isolation & identification, cell culture, and nucleic acid extraction 🧫. He is skilled in PCR, qPCR, and gel electrophoresis for genetic analysis 🧬. His work extends to protein extraction, SDS-PAGE, Western blotting, and immunoprecipitation for molecular diagnostics 🏥. He has experience in gene cloning, bacterial transformation, ligation, and restriction digestion for genetic engineering 🏗️. His research also covers protein purification and antibody-based assays, making significant contributions to infectious diseases, diagnostics, and molecular therapeutics 💉.

Publication Top Notes

1️⃣Novel biosynthesis, characterization and bio-catalytic potential of green algae (Spirogyra hyalina) mediated silver nanomaterials🧪🌿
Year: 2022 | Cited by: 74

2️⃣ Potential antifungal activity of different honey brands from Pakistan: a quest for natural remedy🍯🦠
Year: 2017 | Cited by: 19

3️⃣Differential Proteomics of Helicobacter pylori Isolates from Gastritis, Ulcer, and Cancer Patients: First Study from Northwest Pakistan🧬🔬
Year: 2022 | Cited by: 2

4️⃣Molecular detection of Helicobacter pylori in human saliva and biopsy samples: first report from Pakistan🦠🧫
Year: 2022 | Cited by: 2

5️⃣ Fagonia cretica: Identification of compounds in bioactive gradient high performance liquid chromatography fractions against multidrug-resistant human gut pathogens💊🧪
Year: 2022 | Cited by: 2

6️⃣ Omics finder: an android application to assist Python and omics queries📱🧬

Conclusion

Syed Ali Raza Shah is a distinguished researcher specializing in Helicobacter pylori, gastric cancer, infectious diseases, immunoproteomics, and computational biology—areas of high clinical and public health significance. His consistent publication record (2022–2025) in reputable journals reflects his active research contributions. With an interdisciplinary approach spanning molecular biology, bioinformatics, epidemiology, and computational chemistry, he demonstrates a diverse scientific profile. His collaborations with international researchers further highlight his academic influence and global research impact. Given his high-impact research, recent publications, and contributions to significant health-related fields, he is a strong candidate for the Research for Best Researcher Award. 🚀

 

CristinaIlayda Kök | Biomechanics | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Cristina Busuioc|Biomaterials| Best Researcher Award

Prof at National University of Science and Technology POLITEHNICA Bucharest, Romania

Professor Dr. Cristina Busuioc is a distinguished faculty member at the National University of Science and Technology POLITEHNICA Bucharest (NUSTPB), Romania. She serves in the Faculty of Chemical Engineering and Biotechnology, specifically within the Department of Science and Engineering of Oxide Materials and Nanomaterials.Expanding her interdisciplinary expertise, she pursued a Bachelor of Science in Communication Sciences at the National School of Political and Administrative Studies (2010-2013), where she focused on organizational crisis management.

Publication Profile

Scopus

orcid

Academic and Professional Background

Professor Dr. Cristina Busuioc has an extensive academic background in chemical engineering and communication sciences. She earned her Doctor of Science (Ph.D.) in Chemical Engineering from the University POLITEHNICA of Bucharest (2009-2012), where she specialized in Microwave Ceramics. Additionally, she holds a Master of Science in Chemical Engineering (2009-2011) with a focus on Advanced Composite Materials with Special Destinations, completing her dissertation on 2D and 3D Dielectric Ceramic Structures for Microwave Applications. Her undergraduate degree, a Bachelor of Science in Chemical Engineering, was also obtained from the University POLITEHNICA of Bucharest (2004-2009).

🔬 Research Focus

Her primary research interests include: Synthesis and characterization of oxide materials and nanomaterials Development of dielectric and composite structures for microwave and photonic applications Electrospinning and advanced material fabrication techniques Innovative applications of photonic and accelerated particle beams in materials science and medicine

Skills and Expertise

Professor Busuioc has developed a strong skill set in:Material Synthesis & Characterization (thermal, compositional, structural, optical, electrical analysis)Advanced Ceramic and Composite Materials Microwave and Photonic ApplicationsHigher Education Teaching & Research SupervisionQuality Assurance in Higher EducationScientific Project ManagementCommunication and Organizational Crisis Management.

Awards and Recognitions

Throughout her career, Professor Busuioc has received multiple recognitions for her contributions to chemical engineering, materials science, and higher education. These include:Acknowledgment for significant contributions to the advancement of oxide material engineeringResearch grants and project funding for her work in nanostructured materials Recognition from academic and governmental institutions for her role in quality assurance in education

Publication Top Notes

  1. Antimicrobial Carboxymethyl Cellulose-Bacterial Cellulose Composites Loaded with Green Synthesized ZnO and Ag Nanoparticles for Food Packaging
    I.M. Deleanu, C. Busuioc, M. Deleanu, V.A. Ștefan, G.O. Isopencu
    International Journal of Molecular Sciences, 2024
  2. Green Synthesis of Nanoparticle-Loaded Bacterial Cellulose Membranes with Antibacterial Properties
    M.A.A. Khikani, G.O. Isopencu, I.M. Deleanu, S.I. Jinga, C. Busuioc
    Journal of Composites Science, 2024
  3. New Antimicrobial Materials Based on Plasticized Polyvinyl Chloride for Urinary Catheters: Preparation and Testing
    I.M. Deleanu, E.F. Grosu, A.A. Ficai, R.C. Catalin Ciocoiu, V.I. Antoniac, C. Busuioc
    Polymers, 2024
  4. Cerium and Silver Co-Substituted Bioglass Coatings Deposited by Laser Ablation for Improving the Behaviour of Bioinert Implants
    A.M.R. Musat, R. Nechita, N.D. Oprea, S.I. Jinga, C. Busuioc
    Materials Letters, 2024
  5. Antibacterial Activity of Tin-Doped Zinc Oxide Thin Films Deposited by Laser Ablation
    A.M. Olteanu, A.I. Nicoara, V.A. Surdu, C. Busuioc, I. Constantinoiu
    Ceramics International, 2024
  6. ZnO Thin Films by Pulsed Laser Deposition with Applications in Sensors
    I. Constantinoiu, C. Viespe, C. Busuioc, S.I. Jinga
    UPB Scientific Bulletin, Series B: Chemistry and Materials Science, 2024
  7. PEDOT:PSS Based Electrospun Nanofibres Used as Trigger for Fibroblasts Differentiation
    M. Beregoi, T.A. Enache, D. Oprea, C. Busuioc, I. Enculescu
    Smart Materials and Structures, 2024

Conclusion

Cristina Busuioc is a strong candidate for the Best Researcher Award due to her extensive contributions to materials science, research leadership, and commitment to higher education. Strengthening her international collaborations, industry partnerships, and research commercialization efforts could further solidify her position as a leading researcher in her field.

Hüray Ilayda Kök | Biomechanics | Best Researcher Award

Posted on by ScienceFather

Ms. Hüray Ilayda Kök | Biomechanics | Best Researcher Award

PhD student at Leibniz University Hannover, Germany

Hüray Ilayda Kök is a research associate at the Institute of Continuum Mechanics, Leibniz University Hannover. She holds a Master’s degree (2022) with a thesis on finite element modeling of low cycle fatigue in steel specimens. Her research focuses on the mechanical characterization and numerical modeling of additively manufactured implants, particularly magnesium-based bioresorbable structures. She actively contributes to DFG Research Group 5250 and co-organizes Meet the In(g)dustry to bridge academia and industry. Additionally, she serves as deputy head of VDI Hannover’s Development & Design working group. 🌍⚙️🔩

Publication Profile

Google Scholar

Academic and Professional Background

Hüray Ilayda Kök, M.Sc., is a research associate at the Institute of Continuum Mechanics at Leibniz University Hannover since 2022. She earned her Master’s degree in 2022, specializing in finite element modeling of low cycle fatigue behavior of steel specimens under the guidance of Prof. Dr.-Ing. Ørjan Fyllingen and Prof. Dr.-Ing. Ragnar Gjengedal at Western Norway University of Applied Sciences. Her 2019 Bachelor’s thesis focused on designing and assembling a gearbox for an electrified high-speed drivetrain in collaboration with Leibniz University Hannover, Lenze SE Hameln, and Purdue University, USA. She also serves as deputy head of VDI Hannover’s Development & Design working group, focusing on methodological development, new tools, and product data management. ⚙️📊🔩

🔬 Research Focus

Hüray Ilayda Kök’s research centers on biomechanical engineering and computational modeling, with a focus on additively manufactured implants 🦾. She specializes in finite element simulations 🖥️ to predict the mechanical behavior of permanent and bioresorbable magnesium-based structures ⚙️, considering physiological loading and corrosion conditions. As part of DFG Research Group 5250, she contributes to lattice structure optimization for improved implant longevity and biocompatibility 🏥. Her interdisciplinary work bridges numerical modeling and experimental validation 🔄. Additionally, she fosters academia-industry collaboration through Meet the In(g)dustry, advancing biomedical innovations and engineering solutions for healthcare. 🏗️🔍

Publication Top Notes

1️⃣ Reduction of stress-shielding and fatigue-resistant dental implant design through topology optimization and TPMS lattices – Journal of the Mechanical Behavior of Biomedical Materials, Cited by: -, 📅 2025 🦷⚙️

2️⃣ Topology optimization and high cycle fatigue modeling in additively manufactured dental implants – Transactions on Additive Manufacturing Meets Medicine 6 (S1), 1853-1853, Cited by: -, 📅 2024 🦾🔬

3️⃣ S25: Computational and mathematical methods in data science – Minisymposia 16, 590, Cited by: -, 📅 2023 📊📈

4️⃣ S03: Damage and fracture mechanics – Minisymposia 16 202, 118, Cited by: -, 📅 2018 🔩🔍

5️⃣ Characterization and modeling of additively manufactured Ti-6Al-4V alloy with modified surfaces for medical applications – Frontiers in Bioengineering and Biotechnology 13, 1526873, Cited by: -, 📅 2023 🏥⚒️

 

Jianyu Pan | Electrical Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. Jianyu Pan | Electrical Engineering | Best Researcher Award

Prof. Jianyu Pan, Chonqing University, China

Prof. Jianyu Pan is a leading researcher in electrical engineering, specializing in power converters, SiC electric drives, and high-voltage discharge protection. He earned his Ph.D. in Electrical Engineering from The Ohio State University, USA (2019) under Prof. Longya Xu (IEEE Fellow). He also holds an M.S. (2014) and B.S. (2011) from Chongqing University, China. Currently a Professor at Chongqing University, he has secured multi-billion-dollar research funding, published 29 SCI papers, and holds 34 patents. As an IEEE committee member and editor, he contributes significantly to power electronics and energy systems. ⚙️🔋

Publication Profile

Google Scholar

Education 🎓

Prof. Jianyu Pan holds a Ph.D. in Electrical Engineering from The Ohio State University, Columbus, Ohio, U.S.A., where he studied from August 2014 to August 2019 under the guidance of Prof. Longya Xu (IEEE Fellow). Prior to this, he earned his M.S. in Electrical Engineering from Chongqing University, China, completing his studies between September 2011 and June 2014 under Prof. Ju Tang. His academic journey began at the School of Electrical Engineering, Chongqing University, where he obtained his B.S. in Electrical Engineering from September 2007 to June 2011.

Professional Experience 🏅

Prof. Jianyu Pan has an extensive background in research and academia. From October 2019 to October 2022, he completed his post-doctoral research at Chongqing University, China. Since January 2022, he has been serving as a Professor at the State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University. Previously, from December 2019 to December 2021, he worked as a Lecturer at the same institution. His research experience also includes a tenure as a Research Assistant at the Department of Electricity and Electronics, The Ohio State University, Columbus, U.S.A., from January 2016 to August 2019.

Research Experience

Prof. Jianyu Pan is a distinguished electrical engineer specializing in power electronics, SiC electric drives, and high-voltage energy systems. He serves as a Professor at Chongqing University and has led multiple high-impact research projects, securing billions in funding from organizations like the NSFC, DOE, and Southern Power Grid. His expertise spans power conversion, energy storage, and electrification of transportation systems. With a strong background in SiC-based technologies, he has pioneered innovations in high-efficiency, high-reliability power systems. His contributions are shaping the future of smart grids and sustainable energy solutions. ⚙️⚡🚢✈️

Honors and Awards

Prof. Jianyu Pan has received numerous prestigious honors for his contributions to electrical engineering and power electronics. In 2024, he was recognized as a Chongqing Science and Technology Leader for his pioneering research in high-efficiency power systems. His exceptional work earned him a place in the National Overseas Excellent Youth Program in 2021, highlighting his global impact. In 2020, he was selected for the Chongqing Yingcai Young Top Talents program, reflecting his leadership in innovative research. Additionally, in 2022, he was honored as an Excellent Innovation and Entrepreneurship Mentor for Chongqing University Students, recognizing his dedication to guiding future engineers. 🚀🏆⚡

Research Interest

Prof. Jianyu Pan is a leading researcher in electrical engineering, specializing in power converters, SiC electric drives, and high-voltage discharge protection. His work focuses on high-efficiency, high-power-density power conversion systems, energy generation and storage, and the electrification of ships and aircraft. As a Professor at Chongqing University, he has contributed to cutting-edge research in power electronics. With numerous publications, patents, and major funded projects, he plays a key role in advancing next-generation energy technologies. His expertise drives innovation in sustainable and efficient electrical power systems. ⚙️⚡✈️

Publication Top Notes

1️⃣ Correlation analysis between formation process of SF6 decomposed components and partial discharge qualities – Cited by: 149 (2013) ⚡📄
2️⃣ Decomposition characteristics of SF6 under thermal fault for temperatures below 400°C – Cited by: 103 (2014) 🔥🔬
3️⃣ 7-kV 1-MVA SiC-based modular multilevel converter prototype for medium-voltage electric machine drives – Cited by: 83 (2020) ⚙️🔋
4️⃣ Hardware design of a 1.7 kV SiC MOSFET based MMC for medium voltage motor drives – Cited by: 56 (2018) 🖥️⚡
5️⃣ Relationship between decomposition gas ratios and partial discharge energy in GIS, and the influence of residual water and oxygen – Cited by: 47 (2014) 🏭🧪
6️⃣ Double-vector model predictive control for single-phase five-level actively clamped converters – Cited by: 45 (2019) 🚗⚙️
7️⃣ Influence regularity of trace H₂O on SF6 decomposition characteristics under partial discharge of needle-plate electrode – Cited by: 43 (2015) 💧⚠️
8️⃣ Computationally efficient model predictive control with fixed switching frequency of five-level ANPC converters – Cited by: 41 (2021) 🔄⚡
9️⃣ An optimized model predictive control for three-phase four-level hybrid-clamped converters – Cited by: 40 (2019) 🏎️🔋
🔟 Capacitor voltage ripple estimation and optimal sizing of modular multi-level converters for variable-speed drives – Cited by: 35 (2020) ⚙️🔄

 

Hussain Ahmad | Software Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Hussain Ahmad | Software Engineering | Best Researcher Award

PhD Student at The University of Adelaide, Australia

🛡️ Hussain Ahmad is a cybersecurity and software engineering expert with a strong background in cloud computing, machine learning, robotics, and autonomous systems. Currently pursuing a PhD at the University of Adelaide (2021-2025), his research focuses on self-adaptive cybersecurity and software scalability. He has led 15+ R&DI projects, published 10 high-impact papers with 500+ citations, and secured AUD 200k+ in funding from Google, Amazon, and Cyber Security CRC. A Professional Electronics Engineer (Engineers Australia), he has supervised 12+ students and received the Outstanding International Student Award. His industry roles include Cyber Security Engineer, Chief Project Officer (Migrova), and Software Engineer (Kindship). 🌍🔐🤖

 

Publication Profile

Scopus

 

🎓 Education

Hussain Ahmad is currently pursuing a Doctor of Philosophy (PhD) in Cybersecurity and Software Engineering at The University of Adelaide, Australia (2021-2025). His research focuses on self-adaptive cybersecurity and software scalability, under the supervision of Claudia Szabo, Christoph Treude, and Markus Wagner. Prior to this, he earned a Bachelor of Science in Electronic Engineering (2013-2017) from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan, achieving a High Distinction. His bachelor’s degree is accredited by Engineers Australia, reflecting his strong foundation in electronic engineering and advanced computing systems. 📡🔐📊

 

💼 Work Experience

Hussain Ahmad is an R&D Scholar in Software Security & Scalability at The University of Adelaide (2021-2025), leading 15+ R&DI projects at the intersection of Cybersecurity, Software Engineering, and Machine Learning, with high-impact findings published in leading journals. As a Research Supervisor (2022-2025), he mentors students on industry-focused R&DI projects in collaboration with CSIRO’s Data61, Migrova, and Schlumberger. He also serves as Chief Project Officer at Migrova (2023-2024), securing AUD 100k for AI-driven cybersecurity solutions. Additionally, he developed an ML-enabled therapist recommendation engine as a Software Engineer at Kindship (2022-2023). 🔐💻🚀

 

🏆 Awards & Achievements

Hussain Ahmad has received numerous prestigious accolades for his contributions to R&DI, cybersecurity, and academic excellence. He was featured in a leading newspaper and honored with the Outstanding International Student Award at The University of Adelaide. He won the Exceptional HDR Representative Award and secured People’s Choice & Second Place in the 2024 Visualise Your Thesis Competition. His achievements include a Google Cloud Grant, AUD 100k Seed-Start grant, and three RTP Scholarships. Additionally, he is an accredited Professional Electronics Engineer, a recipient of six Dean’s Excellence Awards, and was awarded a GIKI Fully Funded Financial Assistance Award. 🏅🔬🚀

 

🔍 Research Focus

 

Hussain Ahmad’s research primarily focuses on cybersecurity, software engineering, and microservice architectures. His work on Microservice Vulnerability Analysis in IEEE Access (2024) highlights security risks, threat modeling, and empirical insights into software vulnerabilities. His expertise extends to self-adaptive cybersecurity, cloud computing, machine learning, and autonomous systems. With multiple high-impact publications and industry collaborations, he contributes to secure software scalability, cyber defense mechanisms, and AI-driven security solutions. His interdisciplinary approach bridges software security, electronic engineering, and automation, making him a key researcher in next-generation secure computing systems. 🔐💻📡

 

Publication Top Notes

1️⃣ A Review on C3I Systems’ Security: Vulnerabilities, Attacks, and Countermeasures – ACM Computing Surveys, 2023 🏆 
2️⃣ Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler for Microservice Architectures – ICSA, 2024 🏆 
3️⃣ Towards Resource-Efficient Reactive and Proactive Auto-scaling for Microservice Architectures – Journal of Systems and Software, 2024 🏆 
4️⃣ Microservice Vulnerability Analysis: A Literature Review with Empirical Insights – IEEE Access, 2024 🏆 
5️⃣ Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures – Cluster Computing, 2024 🏆
6️⃣ A Survey on Immersive Cyber Situational Awareness Systems – Submitted to IEEE Access, 2024 🏆 🛡️
7️⃣ ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models – 2024 🏆
8️⃣ Machine Learning Driven Smishing Detection Framework for Mobile Security – Submitted to Cluster Computing, 2024 🏆 
9️⃣ What Skills Do Cyber Security Professionals Need? – Submitted to Neurocomputing, 2025 🏆 
🔟 Exploring Sentiments of ChatGPT Early Adopters using Twitter Data – 2023 🏆

 

 

 

Hongwei Qu | Wind Turbines | Best Researcher Award

Posted on by ScienceFather

Dr. Hongwei Qu | Wind Turbines | Best Researcher Award

Professor at northeast electric power university, China

Dr. Hongwei Qu is a Professor at Northeast Electric Power University, specializing in new energy, photovoltaic modules, and wind turbines. He leads the Jilin University-Enterprise Joint Technology Innovation Laboratory, focusing on solar panel efficiency, dust accumulation diagnosis, and wind turbine optimization. He has secured multiple research grants, published 20+ academic papers (SCI/EI-indexed), and holds six patents. His industry collaborations have resulted in cost-saving innovations worth over 20 million yuan. A recipient of the Jilin Provincial Science and Technology Progress Award, Dr. Qu is dedicated to advancing renewable energy solutions. ⚡📡🔍

 

Publication Profile

Scopus

Academic and Professional Background

Dr. Hongwei Qu, Ph.D., is an Associate Professor and Master’s Supervisor at the School of Energy and Power Engineering, Northeast Electric Power University. He leads the Jilin University-Enterprise Joint Technology Innovation Laboratory for New Energy Industry, focusing on renewable energy and energy storage. His research covers solar photovoltaic efficiency, dust accumulation diagnosis, hot spot and hidden crack EL detection, wind turbine blade wake analysis, and intelligent operation and maintenance of wind turbines. Dr. Qu’s work advances sustainable energy solutions, enhancing the efficiency and durability of solar and wind energy systems. ⚡🔍🌞

🚀 Research & Innovations

Dr. Hongwei Qu has made remarkable contributions to renewable energy research. He has participated in two projects under the National Natural Science Foundation of China Youth Fund and received the Second Prize of Jilin Provincial Science and Technology Progress 🏆. He has led multiple projects, including 2 by Jilin Science and Technology Department, 2 by Jilin Education Department, and 2 by Jilin Science and Technology Bureau, along with 20+ horizontal research projects. His work includes 20 academic papers 📄, 10+ indexed in SCI & EI, 6 invention patents, 9 software copyrights, and 1 textbook 📚, driving technological advancements in energy innovation. ⚡🌍

🌞🔬 Research Focus

Dr. Hongwei Qu’s research revolves around photovoltaic (PV) efficiency, dust accumulation effects, and advanced coatings for energy applications. His work covers dust deposition impact on PV output ⚡, localized shadowing effects, and fault diagnosis using probabilistic neural networks 🤖. He also explores temperature-dependent PV performance, optimal cleaning cycles for solar panels, and optical transmission models for dusty modules. His expertise extends to superhydrophobic PTFE coatings 🏭, anti-scale polydopamine coatings, and PV-PCM systems under varying tilt angles, wind conditions, and ambient temperatures 🌬️. His findings enhance renewable energy efficiency, sustainability, and smart PV maintenance. 🌍🔋

Publication Top Notes

🔹 Qu, H., Zhao, H., Wang, W., Zhang, J. (2025). Experimental study on the losses of dusty PV modules considering irradiance levels and tilt angles. Energy Reports. Cited by: 0 📄⚡

🔹 Guo, S., Deng, X., Guo, T., Li, X., Tian, J. (2025). Optimization of biomass torrefaction densification process parameters: Impact on hydrogen-rich syngas generation in the gasification process. Biomass and Bioenergy. Cited by: 0 🌱🔋

🔹 Guo, S., Gan, J., Yang, L., Li, X., Zhao, D. (2025). Simulation and mechanistic exploration of the mid to late-stage hydrothermal carbonization process in biomass. Process Safety and Environmental Protection. Cited by: 0 🔥🌍

Conclusion

Dr. Hongwei Qu is a highly suitable candidate for the Best Researcher Award due to his extensive contributions to renewable energy research, technological innovations, and industry collaborations. His work in solar photovoltaic efficiency, energy storage, and wind turbine optimization demonstrates a strong impact on both academia and industry. While his citation index and editorial appointments could be improved, his patents, funded projects, and cost-saving solutions position him as a leading researcher in the field of energy and power engineering.

YuYe Li | Reproductive Medicine | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. YuYe Li | Reproductive Medicine | Best Researcher Award

Assoc. Prof. Dr. YuYe Li, Shenzhen Zhongshan Obstetrician and Gynecologist, China

Dr. Yu Ye Li, Ph.D., is an expert in reproductive immunology 🧬, focusing on endometrial receptivity and the impact of chronic endometritis on pregnancy failure 🤰. She leads the Reproductive Immunology Laboratory at Shenzhen Zhongshan Urology Hospital, managing clinical research on immune cells in repeated reproductive failure. She has authored five first-author papers and contributed to over 10 publications 📄. A recipient of the John Gusdon Award 🏆, she holds a patent on endometrial receptivity assessment. Dr. Li earned her Ph.D. in Immunology from Sun Yat-Sen University.

Publication Profile

Scopus

Professional Experience 🏥

Dr. Yu Ye Li specializes in reproductive immunology, with a primary focus on the role of endometrial immune cells in repeated reproductive failure 🤰. She has led a multi-center clinical research project on chronic endometritis, collecting nearly 1,000 endometrial samples 🔍. Her work aims to establish diagnostic criteria for endometrial CD138, improving fertility treatments. Her pioneering research on the immune mechanisms of pregnancy failure due to chronic endometritis has been published in Fertility and Sterility 📄, contributing significantly to the field of reproductive medicine.

Education 🎓

Dr. Yu Ye Li earned her Ph.D. in Immunology (2009–2014) from Zhongshan School of Medical, Sun Yat-Sen University 🏛️, where she focused on innate immune-related signaling pathways against viral infections, particularly the molecular regulation of the PKR/Notch pathway in dengue virus infection 🦠. Prior to this, she completed her Master’s degree in Life Sciences (2005–2009) at Liaocheng University 📚, building a strong foundation in biomedical research. Her academic journey has been instrumental in shaping her expertise in immune cell biology and reproductive immunology, leading to groundbreaking contributions in endometrial receptivity and pregnancy failure research. 🚀

Awards & Achievements 🏆

Dr. Yu Ye Li has received several prestigious accolades for her contributions to reproductive immunology. In 2015, she was awarded the First Prize of the Shenzhen Science and Technology Progress Award 🏅 for her innovative research. In 2018, she won the John Gusdon Award 🏆 for best oral presentation at the 38th American Congress on Reproductive Immunology 🎤. Additionally, she holds a patent for an innovative kit and method for assessing endometrial receptivity 🧬 (Patent No: ZL201610021908.X, granted on October 31, 2017), further solidifying her impact in the field of reproductive medicine. 🚀

Research Focus 🔬

Assoc. Prof. Dr. Yu Ye Li specializes in reproductive immunology 🧬, with a primary focus on immune mechanisms in the endometrium and their impact on pregnancy outcomes 🤰. Her research explores the immune microenvironment of the human endometrium 🏥, the role of uterine natural killer (uNK) cells in recurrent reproductive failure ⚠️, and the effects of chronic endometritis on fertility. She also investigates endometrial preparation protocols and their influence on assisted reproductive technologies (ART) 🏥. Her contributions advance precision medicine in reproductive health, aiming to improve implantation success rates and pregnancy outcomes. 📊

Publication Top Notes

1️⃣ Regional Analysis of the Immune Microenvironment in Human Endometrium – American Journal of Reproductive Immunology, 2024 🔬
2️⃣ Authors’ reply: Commentary on “Intrauterine perfusion of dexamethasone improves pregnancy outcomes in recurrent reproductive failure patients with elevated uterine natural killer cells” – American Journal of Reproductive Immunology, 2024 🏥⚕️
3️⃣ Endometrial preparation protocols did not impact pregnancy outcomes of patients with cured chronic endometritis – Reproductive BioMedicine Online, 2024 (📝 Cited by: 1) 🤰📊

 

Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

Dr. Zhandos Shynybay, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Kazakhstan

Dr. Zhandos Shynybay is a distinguished scholar in electrical power engineering ⚡ and agricultural energy systems 🌾. He earned his PhD in Energy Providing of Agriculture from Kazakh National Agrarian University. Currently, he serves as Head of the Department of Power Supply and Electric Drive at Almaty University of Power Engineering and Telecommunications. With extensive academic experience, he has authored multiple research papers 📄 on image-based quality assessment and energy efficiency. His contributions include patents 🏅 on agricultural and industrial automation. Recognized with a Certificate of Honor 🏆 from the Ministry of Education and Science of Kazakhstan, Dr. Shynybay is a leader in power systems innovation.

 

Publication Profile

Orcid

Academic and Professional Journey

 

Dr. Zhandos Shynybay is a renowned expert in energy systems and power engineering ⚡. He obtained his Bachelor’s degree (1997) in Energy Providing of Agriculture from the Kazakh Agricultural Institute and later pursued a Master’s degree (2009) in Electropower Engineering at Kazakh National Agrarian University. He further advanced his academic credentials by earning a PhD (2014) in Energy Providing of Agriculture from the same institution. Dr. Shynybay has dedicated his career to academia, starting as an Assistant Professor (2004-2009) at Kazakh National Agrarian University (KazNARU), later serving as a Senior Lecturer (2009-2014), and subsequently becoming an Associate Professor and Head of the Department (2014-2021). Since 2021, he has been leading as the Head of the Department of Power Supply and Electric Drive at Almaty University of Power Engineering and Telecommunications 🏫. His expertise spans power systems, electrical drives, and agricultural energy solutions, contributing significantly to research, innovation, and academic leadership. 🚀

Education

Dr. Zhandos Shynybay is a distinguished academic specializing in power supply and electric drives. He earned his PhD in 2014, following degrees from Kazakh Agricultural Institute and Kazakh National Agrarian University. With over two decades of experience, he currently serves as Head of the “Power Supply and Electric Drive” department at Almaty University of Power Engineering and Telecommunications. His research focuses on energy automation, image analysis, and agricultural engineering. Dr. Shynybay has authored multiple publications and holds patents in energy systems. He received the Certificate of Honor from Kazakhstan’s Ministry of Education. 🏆📡🔋

 

Awards and prizes:

Dr. Zhandos Shynybay is a renowned researcher and academic in power engineering, specializing in power supply and electric drives. He earned his PhD in 2014 after completing degrees at Kazakh Agricultural Institute and Kazakh National Agrarian University. Currently, he is the Head of the “Power Supply and Electric Drive” department at Almaty University of Power Engineering and Telecommunications. His research spans energy automation, image analysis, and agricultural engineering. A recipient of the Certificate of Honor from Kazakhstan’s Ministry of Education (2020), he has authored numerous publications and holds multiple patents. 🏆⚙️🔋

 

Research Focus ⚡

 

Dr. Zhandos Shynybay specializes in agricultural engineering, renewable energy, and computer vision applications in food quality assessment. His research includes digital image analysis for determining the physical parameters of apples 🍏, optimizing egg quality assessment 🥚, and developing automated sorting systems using computer vision. He has also contributed to renewable energy development 🌞💨 and harvesting optimization 🌾. His interdisciplinary work integrates AI, automation, and energy systems to enhance efficiency in agriculture and food production. His research has been widely published in high-impact journals and conference proceedings. 📚🔍

 

Publication Top Notes

  • 2025: “Methodology for Determining the Main Physical Parameters of Apples by Digital Image Analysis” – AgriEngineering.

    mdpi.com

  • 2022: “Development of Renewable Energy Sources in the World in the Section of Wind and Solar Energy” – Mechanics and Technologies.

  • 2021: “Express Methods and Procedures for Determination of the Main Egg Quality Indicators” – TEM Journal.

  • 2020: “Methodology for Conducting an Optimization Experiment for Harvesting Dry Short-Stalked Grain Crops” – IOP Conference Series: Earth and Environmental Science.

  • 2019: “Approach for Egg Defects Assessment Using Image Analysis” – Annals of DAAAM and Proceedings of the International DAAAM Symposium.

  • 2019: “Design and Performance of an Automatic Egg Sorting System Based on Computer Vision” – TEM Journal.

  • 2018: “An Indirect Approach for Egg Weight Sorting Using Image Processing” – Journal of Food Measurement and Characterization.

  • 2013: “Express Method and Device for Definition of Potato Tubers Parameters” – Bulgarian Journal of Agricultural Science.

 

Weibing LI | Computational Intelligence and Robotics | Best Researcher Award

Posted on by ScienceFather

Weibing LI | Computational Intelligence and Robotics | Best Researcher Award

Associate Professor at  Sun Yat-sen University , China

Dr. Weibing Li is an Associate Professor at the School of Computer Science and Engineering, Sun Yat-sen University, China. He holds a Ph.D. in Mechanical Engineering from the University of Leeds, UK (2018) and specializes in robotics 🤖, neural networks 🧠, and optimization 🔢. His research focuses on industrial and medical robotics, deep learning, and nonlinear programming. A recipient of multiple national and regional research grants, he has published extensively in top-tier IEEE journals. Dr. Li also worked as a Postdoctoral Researcher at The Chinese University of Hong Kong. 📧

Publication Profile

Orcid

🎓 Academic Background 

Dr. Weibing Li holds a Ph.D. in Mechanical Engineering (2018) from the University of Leeds, UK 🇬🇧, where he worked under Prof. Robert Richardson and Prof. Jongrae Kim. He earned his M.S. in Detection Technology and Automatic Equipment (2014) from Sun Yat-sen University, China 🇨🇳, guided by Prof. Yunong Zhang, and a B.S. in Communication Engineering (2011) from Changchun University. His research focuses on robotics 🤖 (industrial, medical, modular), neural networks 🧠 (deep learning, reinforcement learning), and operations research 🔢 (optimization, nonlinear programming, cybernetics), contributing significantly to AI-driven robotic applications. 🚀

👨‍🏫 Professional Experience

Dr. Weibing Li is an Associate Professor at the School of Computer Science and Engineering, Sun Yat-sen University 🇨🇳 (since 2020), where he advances research in robotics and AI. Previously, he was a Postdoctoral Researcher at the Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong 🇭🇰 (2018-2020), working under Prof. Zheng Li on medical robotics. He also served as a Robotics Assistant at the University of Leeds, UK 🇬🇧 (2017-2018), contributing to advanced robotic systems under Prof. Robert C. Richardson. His expertise spans intelligent automation, neural computation, and robotic control. 🤖🚀

🔬 Research Focus Areas

Dr. Weibing Li’s research spans robotics 🤖, neural networks 🧠, and operations research 📊. His work in industrial, medical, and modular robotics focuses on intelligent control and automation. In neural networks, he explores deep learning, reinforcement learning, and neural computation. His contributions to operations research and cybernetics include optimization techniques like linear and nonlinear programming. He leads multiple projects, including research on robotic endoscopes, intelligent control algorithms, and recurrent neural networks. His work enhances robotic precision, human-robot interaction, and AI-driven automation, contributing significantly to robotic intelligence and healthcare technologies. 🚀

Publication Top Notes

1️⃣ An Accelerated Anti-Noise Adaptive Neural Network for Robotic Flexible Endoscope With Multitype Surgical Objectives and Constraints 🏥🤖
Year: 2025 | Publisher: IEEE

2️⃣ A Quadratic Programming Solution to Position-Level Repetitive Motion Planning and Obstacle Avoidance of Joint-Constrained Robots 📏🤖
Year: 2025 | Publisher: IEEE

3️⃣ A Cerebellar Model Articulation Controller Enhanced Neural Solution to Time-Varying Linear Equations With Robotic Application 🧠🤖
Year: 2024 | Publisher: IEEE

4️⃣ X-Ray-Based Three-Dimensional Shape Reconstruction Method for a Continuum Manipulator 📸🤖
Year: 2024 | Publisher: IEEE

5️⃣ Visual Exploration-Enhanced Quadruped Robot with Active-Passive Composite Telescope Mechanism 🦿🤖
Year: 2024 | Publisher: IEEE