Mohammad Kazemi Garajeh | Remote Sensing | Best Researcher Award

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Dr. Mohammad Kazemi Garajeh | Remote Sensing | Best Researcher Award

Phd student, Sapienza University of Rome, Italy

Mohammad Kazemi Garajeh is a dedicated Ph.D. candidate in Earth Observation at Sapienza University of Rome and the University of Basilicata, Italy. With a robust background in remote sensing and GIS, he focuses on environmental hazard assessment and climate change impacts. Mohammad has earned multiple scholarships for his academic excellence and has contributed significantly to his field through various research projects and publications.

Profile

Google Scholar

🎓 Education:

  • Ph.D. Candidate in Earth Observation: Sapienza University of Rome, Rome, Italy, and University of Basilicata, Potenza, Italy (2022–Present)
    • Supervisors: Valerio Tramutoli
  • Master of Science in Remote Sensing and GIS (GPA: 17.00/20.00): University of Tabriz, Tabriz, East Azerbaijan, Iran
    • Thesis: Assessment quality of life in urban area with environmental hazards approach using integrated remote sensing and spatial analysis (Case study: Ardabil city)
    • Supervisor: Khalil Valizadeh Kamran, Advisor: Bakhtiar Feizizadeh
  • Bachelor of Science in Geography and Urban Planning (GPA: 16.68/20.00): University of Tabriz, Tabriz, East Azerbaijan, Iran
    • Thesis: The relationship between the cities of Iran (in terms of the number of cities and its population) with latitude
    • Supervisor: Firouz Jafari

🔬 Experience:

  • East Azerbaijan Gas Organization (09/2020 to 03/2021):
    • Created and designed a spatial database based on GIS for gas subscribers in Azershahr city.
  • Consulate Organization of Urban Planning, Tabriz:
    • Cooperated with urban planners to create a land use plan map of Ajabshir city, Iran.

🔍 Research Interests:

  • Remote Sensing
  • GIS
  • Climate Change
  • Object-Based Image Analysis
  • Natural Hazard Modelling
  • Landslide

🏆 Honours and Awards:

  • Received full scholarship for the bachelor’s degree from the University of Tabriz (tuition waiver)
  • Received full scholarship for the master’s degree from the University of Tabriz (tuition waiver)
  • Received full scholarship in NATIONAL PHD FOR EARTH OBSERVATION (Cycle 38) for the PhD degree from Sapienza University, Rome, Italy (tuition waiver)

📜 Publications Top Notes:

Detection of collapsed pipe and land subsidence using deep-learning models in Razavi Khorasan province, Iran. Earth Science Informatics, 2024.

Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine. Scientific Reports, 2024.

Ali Ghandili | Statistical thermodynamics | Best Researcher Award

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Dr. Ali Ghandili | Statistical thermodynamics | Best Researcher Award

Lecturer, Cihan University-Erbil, Kurdistan, Iraq

Ali Ghandili is an esteemed academic and researcher with extensive experience in physical chemistry and biochemical analysis. Currently a lecturer at Cihan University in Erbil, Kurdistan, Iraq, he has held various significant roles in academia and industry, contributing to the field through both teaching and research. He is known for his expertise in chemical industries, food industry testing, and standardization processes.

Profile

Scopus

🎓 Education:

  • Doctor of Philosophy, Physical Chemistry: Payame Noor University (Mashhad, Iran) (2011–2017)
  • Master of Science, Physical Chemistry: University of Tehran (Tehran, Iran) (1992–1994)
  • Bachelor of Science, Chemistry: University of Tehran (Tehran, Iran) (1987–1992)

🔬 Work Experience:

  • Lecturer: Cihan University, Erbil, Kurdistan Region of Iraq (2023–Present)
    • Teaching in the Medical Biochemical Analysis Department.
  • Official Judicial Expert: Center of Official Justice Experts of West Azerbaijan (2014–2023)
    • Examined and issued expert opinions for judicial authorities in the field of chemical industries.
  • Researcher: Department of Scientific and Industrial Research, West Azerbaijan Standard Administration, Urmia, Iran (2014–2023)
    • Conducted studies in the field of industries.
  • Head of the Department of Laboratory Affairs: Standardization Administration of Western Azerbaijan, Urmia, Iran (2014–2023)
    • Oversaw testing of food industry products, chemical industry, including microbiology, physicochemical, additives, heavy metals, and packaging tests.
  • Expert in Charge of Instrumental Analysis Laboratory: Standardization Administration of Western Azerbaijan, Urmia, Iran (2000–2014)
    • Conducted tests on food industry products, chemical industry, including additives, heavy metals, and petroleum products.
  • Lecturer: Technical College 2 of Urmia (1998–2003)
    • Taught Physical Chemistry, Electrochemistry, Corrosion, Principles of Water Treatment, Bio and Organic Chemistry.
  • Lecturer: Higher Education of Shahid Bakri (1997–1998)
    • Taught General Chemistry (Analytical, Biochemistry, and Inorganic Chemistry).
  • Lecturer: Payame Noor University, Urmia, Iran (1996–1998)
    • Taught Organic/Bio Organic Chemistry.

🔬 Research Interests:

Ali Ghandili’s research interests include physical chemistry, biochemical analysis, chemical industries, food industry testing, and standardization processes. He is particularly focused on the thermodynamic properties of fluids, chemical analysis, and environmental safety.

🏆 Awards and Recognitions:

Ali Ghandili has been recognized for his significant contributions to the field of physical chemistry and biochemical analysis, serving in key academic and industrial roles that highlight his expertise and leadership.

📜 Publications Top Notes:

Viscosity in Simple Fluids: A Different Perspective Based on the Thermodynamic Dimension, Fluid Phase Equilibria, 2024. Cited by articles.

Molecular cages in supercritical fluids at high pressures, Fluid Phase Equilibria, 2022. Cited by articles.

A general model for isochoric heat capacity of matter in different states by introducing thermodynamic dimension concept, Fluid Phase Equilibria, 2021. Cited by articles.

A new analytical modeling for the determination of thermodynamic quantities of refrigerants, AIChE Journal, 2020. Cited by articles.

Extraction of experimental rules of dense fluids using the LIR theory; monatomic fluids, Physics and Chemistry of Liquids, 2019. Cited by articles.

Jaiteg Singh | Human Computer Interaction | Best Researcher Award

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Prof Dr. Jaiteg Singh | Human Computer Interaction | Best Researcher Award

Professor, Chitkara University, Punjab, India

Ms. Poorva Nayak is a distinguished physicist and academic leader with nearly two decades of experience in higher education and research. Currently serving as the Pro Vice Chancellor and Dean at Chitkara University, Punjab, India, she has significantly contributed to the fields of neuromarketing, navigation systems, software engineering, business intelligence, and data mining. She is dedicated to academic excellence, innovation, and fostering a collaborative research environment.

 Profile

Google Scholar

📚 Education:

  • Ph.D. in Computer Science and Engineering: Punjabi University Patiala, Punjab, India (2010)
  • M.Phil. in Computer Science: Madurai Kamaraj University, Madurai, Tamil Nadu, India (2006)
  • Master of Computer Applications: Punjabi University, Patiala, Punjab, India (2004)
  • B.A (Hons) School in Economics: Punjabi University, Patiala, Punjab, India (2001)

🔬 Work Experience:

  • Research Fellow: INTI International University, Malaysia (15 December 2023 to 31 Dec 2025)
  • Professor & Dean: Chitkara University, Punjab, India (Jan 2011 to Date)
  • Associate Professor: RIMT, Mandi Gobindgarh, Punjab, India (Jul 2006 to Jan 2011)
  • Lecturer: S.G.H.C.M.T., Patiala, Punjab, India (Aug 2005 to Jul 2006)
  • Lecturer: Lyallpur Khalsa College, Jalandhar, Punjab, India (Jul 2004 to Aug 2005)

🏢 Administrative Experience:

  • Pro Vice Chancellor (Computer Applications): Chitkara University, Punjab (2017 to date)
  • Dean, Department of Computer Applications: Chitkara University, Punjab (2017 to Dec 2023)
  • Coordinator, Research and Development: Chitkara University, Punjab (2012 to 2017)
  • Coordinator, Undergraduate Studies: Regional Institute of Management and Technology, Mandi Gobindgarh, Punjab (2006 to 2010)

🎓 Research Interests:

Ms. Poorva Nayak’s research interests span neuromarketing, navigation systems, software engineering, business intelligence, and data mining. She has a profound interest in developing innovative solutions and methodologies to enhance these fields.

📜 Publications Top Notes:

Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques The Journal of Supercomputing, 2019. Cited by 120.

Deep feature extraction and classification of android malware images Sensors, 2020. Cited by 80.

Assessing OpenStreetMap data using intrinsic quality indicators: an extension to the QGIS processing toolbox Future Internet, 2017. Cited by 77.

Dominant feature selection and machine learning‐based hybrid approach to analyze android ransomware Security and Communication Networks, 2021. Cited by 59.

A study of neuromarketing techniques for proposing cost-effective information-driven framework for decision making Materials Today: Proceedings, 2022. Cited by 57.

Systematic literature review on software effort estimation using machine learning approaches 2017 International Conference on Next Generation Computing and Information Systems, 2017. Cited by 53.

Classification and analysis of android malware images using feature fusion technique IEEE Access, 2021. Cited by 50.

Poorva Nayak | Thermoelectric Materials | Best Researcher Award

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Dr. Poorva Nayak | Thermoelectric Materials | Best Researcher Award

Research Scholar, Jiwaji University, India

Ms. Poorva Nayak is a dedicated and passionate physicist with a strong academic background and extensive research experience. She is committed to fostering an engaging learning environment, conducting innovative research, and contributing to the academic community through collaboration and mentorship. With expertise in theoretical and experimental physics, Ms. Nayak aims to inspire students, advance scientific knowledge, and drive research excellence.

Profile

Scopus

📚 Education:

  • Ph.D. in Physics (pursuing): Jiwaji University, Gwalior, MP (2021-present)
  • M. Phil in Physics: Jiwaji University, Gwalior, MP (2017) – 73%
  • MSc in Physics: Jiwaji University, Gwalior, MP (2015) – 64%
  • B.Sc in Mathematics: Jiwaji University, Gwalior, MP (2013) – 69%
  • 12th in Maths Group: Board of Secondary Education, Gwalior, MP (2010) – 60.4%
  • 10th: Board of Secondary Education, Gwalior, MP (2008) – 63.8%

🔬 Research Experience:

  • Research Scholar, Jiwaji University, Gwalior MP:
    • Conducted research on thermoelectric and spintronics materials.
    • Designed and executed experiments, collected data, and analyzed results using advanced statistical methods and mathematical modeling.
    • Presented research findings at departmental seminars and conferences, demonstrating effective communication skills and the ability to disseminate knowledge.

👩‍🏫 Teaching Experience:

  • Assistant Professor of Physics (2019-2020): Malwa Institute of Technology and Management
  • Guest Faculty (2022-present): School of Studies in Physics, Jiwaji University, Gwalior
    • Assisted in teaching undergraduate physics courses, including lectures, tutorials, and laboratory sessions.
    • Prepared course materials, assignments, and assessments to support student learning and engagement.
    • Provided individualized assistance and guidance to students, fostering a positive and supportive learning environment.
    • Received positive feedback from students and faculty for effective communication and teaching methodologies.

🔬 Academic Projects:

  • M. Phil Academic Project:
    • Title: Structure, Electronic, and Optical Properties of Osmium di-Boride
  • MSc Academic Project:
    • Title: Dielectric Study of Polyaniline-Zinc Nickel Ferrite Nanocomposite Materials under the supervision of Prof D. C. Tiwari, Jiwaji University, Gwalior.

📄 Publications Top Notes:

Theoretical exploration of inherent electronic, structural, mechanical, thermoelectric, and thermophysical response of KRu4Z12 (Z= As12, Sb12) filled skutterudite materials. RSC Advances, 2023.

A comprehensive study of the magnetic, electronic, mechanical, and thermoelectric properties of novel filled skutterudites KFe4Ge12 and KFe4P12 using ab-initio calculations. Computational Condensed Matter, 2024.

Holistic Exploration of Structural, Electronic, Magnetic, Transport, Mechanical, and Thermodynamic Characteristics, Including Curie Temperature Analysis. ACS Omega, 2023.

Exploring the Multifaceted Properties of Sr-Filled Skutterudite: A Comprehensive Study of Structural, Mechanical, Electronic, Magnetic, Curie Temperature, Thermal, and Transport Characteristics via Density Functional Theory. Journal of Inorganic and Organometallic Polymers and Materials, 2024.

Multifaceted analysis of NdCo4X12: unveiling certain structural, electronic, magnetic, transport-mechanical, and thermodynamic properties with the emphasis on curie temperature. The European Physical Journal Plus, 2024.

Exploring the multifaceted properties: electronic, magnetic, Curie temperature, elastic, thermal, and thermoelectric characteristics of gadolinium-filled PtSb3 skutterudite. RSC Advances, 2024.

Exploring Novel Filled Skutterudites: A Comprehensive DFT Modeling Study on Electronic, Magnetic, Curie Temperature, Elastic, Thermal, and Thermoelectric Properties. Solid State Sciences, 2024.

Abbasali Raz | Bioinformatics | Best Researcher Award

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Assoc Prof Dr Abbasali Raz | Bioinformatics | Best Researcher Award

Assoc Prof Dr Abbasali Raz, Pasteur Institute of Iran , Iran

Assoc Prof Dr Abbasali Raz is an Iranian Associate Professor at the Malaria and Vector Research Group, Biotechnology Research Center, Pasteur Institute of Iran, Tehran. He holds a Ph.D. in Medical Biotechnology from Pasteur Institute of Iran and specializes in vector biology and malaria research. With expertise in bioinformatics, PCR techniques, protein expression, and insect rearing, Abbasali has contributed significantly to vaccine development, particularly in Transmission Blocking Vaccines (TBV) for Anopheles mosquitoes. He serves on multiple editorial boards and has a notable academic record reflected in his publications and citations. Abbasali Raz is committed to advancing biotechnological solutions to combat vector-borne diseases.

Publication Profile

Orcid

Education

Abbasali Raz’s academic journey began with an Associate of Laboratory Sciences at Kashan University of Medical Sciences (1997-2000) followed by a B.Sc. in Laboratory Sciences from Iran University of Medical Sciences (2000-2002). He pursued his passion for medical biotechnology with an M.Sc. at Tarbiat Modarres University (2003-2006), delving deeper into molecular sciences. His educational pinnacle came with a Ph.D. in Medical Biotechnology from Pasteur Institute of Iran (PII) spanning 2006 to 2013. These qualifications have equipped him with a robust foundation in laboratory and biotechnological expertise, pivotal in his current role as an Associate Professor at the Pasteur Institute of Iran.

Research Focus

Abbasali Raz focuses on advancing biotechnological solutions for vector-borne diseases, particularly malaria. His research spans molecular characterization and vaccine development targeting Anopheles mosquitoes, emphasizing transmission-blocking strategies. He explores the role of midgut microbiota in paratransgenesis, aiming to engineer microbial symbionts for disease control. Raz integrates bioinformatics with experimental techniques like PCR variants, RNAi, and protein modeling to elucidate vector-pathogen interactions. His contributions extend to genetic diagnostics and therapeutic bioprospecting, leveraging collagenases and enzyme inhibitors. His work underscores a multidisciplinary approach merging genetics, microbiology, and biotechnology to combat global health challenges posed by mosquito-borne diseases.

Publication Top Notes

Leech, potato, and tomato carboxypeptidase inhibitors against Anopheles stephensi carboxypeptidase B1 and B2

Isolation and characterization of the midgut microbiota of Aedes albopictus to identify suitable candidates for paratransgenesis

From the Urinary Catheter to the Prevalence of Three Classes of Integrons, β-Lactamase Genes, and Differences in Antimicrobial Susceptibility of Proteus mirabilis and Clonal Relatedness with Rep-PCR

Developing a Vaccine to Block West Nile Virus Transmission: In Silico Studies, Molecular Characterization, Expression, and Blocking Activity of Culex pipiens mosGCTL-1

Identification, molecular characterization and expression of aminopeptidase N-1 (APN-1) from Anopheles stephensi in SF9 cell line as a candidate molecule for developing a vaccine that interrupt malaria transmission

Azadeh Dogani | Technology | Best Researcher Award

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Dr. Azadeh Dogani | Technology | Best Researcher Award

 

Dr Azadeh Dogani, Ferdowsi university of Mashhad, Iran

Azadeh Dogani is a passionate researcher specializing in Water Resources and Resilience 🌊. With a Ph.D. in Agricultural Economics from Ferdowsi University of Mashhad 🎓, she focuses on modeling systems dynamics and multi-objective programming. As Vice Chairman at Radzist Toos Waste Management Co. and Vice-president at Futuristic Modern City Technical and Engineering Consulting Company, she excels in marketing research and feasibility studies 📊. Azadeh’s research contributions, published in prestigious journals like Processes and Water Resources Management, demonstrate her expertise in systems modeling and optimization algorithms 📈. Skilled in Vensim, SPSS, GAMS, Stata, and R, she is committed to advancing sustainable practices in water management 💧.

Publication Profile

Orcid

Education

Azadeh Dogani holds a Ph.D. in Agricultural Economics 🌾 from Ferdowsi University of Mashhad, Iran, graduating in 2023. Her doctoral thesis focused on modeling the resilience of Mashhad Plain to the reduction of underground water resources using System Dynamic and Multi-Objective Programming 📊. She completed her M.Sc. in Agricultural Economics at Azad University of Marvdasht in 2011, investigating factors influencing investment in agriculture 🌱. Azadeh began her academic journey with a B.Sc. in Agricultural Economics from Azad University of Mashhad in 2008, laying the foundation for her expertise in agricultural economics and sustainability practices 🎓.

Experience

Since 2019, Azadeh Dogani has served as Vice Chairman of the Board at Radzist Toos Waste Management Co. 🌍 Her role involves conducting marketing research across diverse fields, preparing justification plans, and assessing feasibility for projects focused on used catalyst and carbon management. Concurrently, from 2021 to 2023, Azadeh led a research project at Khorasan Razavi Regional Water Company in Mashhad, Iran 🚰. She currently holds the position of Vice-president at Futuristic Modern City Technical and Engineering Consulting Company, beginning in 2022. Azadeh’s leadership spans environmental sustainability and technical consulting, emphasizing her commitment to innovative solutions in waste management and urban development 🏙️.

Research Focus

Azadeh Dogani’s research focuses on advancing fault warning systems in industrial settings 🛠️. Her work integrates cutting-edge algorithms like Coati Optimization and Bidirectional Long Short-Term Memory Networks (Bi-LSTM) to enhance predictive capabilities and mitigate operational risks. In collaboration with international researchers, she has contributed significantly to the development of innovative algorithms such as LightGBM for industrial fault detection, emphasizing efficiency and accuracy in complex systems 📈. Azadeh’s publications in esteemed journals underscore her expertise in optimizing algorithms for industrial applications, aiming to improve system reliability and performance amidst technological advancements and operational challenges 🌐.

Publication Top Notes

 

Paniz Jasbi | Systems Biology | Best Researcher Award

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Dr Paniz Jasbi | Systems Biology | Best Researcher Award

Dr Paniz Jasbil, Theriome Inc, United States

Paniz Jasbi, PhD, is a leading figure in metabolomics and nutritional sciences, currently serving as Co-Founder & Chief Science Officer at Theriome Inc. With a PhD in Exercise and Nutritional Sciences from Arizona State University, her research focuses on mass spectrometry-based metabolomics. Dr. Jasbi’s expertise spans roles as Director of Metabolomics at The American Board of Precision Medicine and previous appointments in academia, including as a Graduate Teaching Associate and Research Scholar. Passionate about precision medicine and metabolic health, she consults widely and leads Theriome’s innovative efforts in personalized healthcare solutions. 🧬

Publication Profile

Google scholar

Education

Paniz Jasbi, PhD, is a distinguished researcher in Exercise and Nutritional Sciences, having earned her Ph.D. from Arizona State University, Phoenix, with a perfect GPA. Her dissertation, supervised by Haiwei Gu and Carol S. Johnston, focused on “Mass Spectrometry-based Metabolomics: Considerations for Laboratory Testing.” Prior to her doctoral studies, she completed an M.S. in Obesity Prevention and Management and a B.S. in Psychological Science (with a minor in Philosophy), both with Summa cum Laude honors and perfect GPAs. Dr. Jasbi’s research explores innovative approaches in metabolomics, particularly in relation to nutrition and metabolic health.

PROFESSIONAL APPOINTMENTS

Paniz Jasbi, PhD, holds a prominent role as Director of Metabolomics at The American Board of Precision Medicine, overseeing cutting-edge initiatives in personalized healthcare. She co-founded Theriome Inc., where she currently serves as Chief Science Officer, driving research and innovation in metabolic health solutions. Previously, Dr. Jasbi was the Co-Founder & CEO of Theriome Inc. and a Postdoctoral Research Scholar at Arizona State University’s School of Molecular Sciences under Judith Klein-Seetharaman. Her extensive academic background includes roles as a Graduate Teaching Associate and Research Associate at Arizona State University, where she contributed significantly to nutrition therapies and advanced human metabolism studies. Passionate about bridging research and practical health applications, Dr. Jasbi continues to lead in metabolic sciences and personalized medicine.

Research Focus

Paniz Jasbi, PhD, focuses her research on advanced metabolomics techniques for understanding and diagnosing complex health conditions. Her work primarily centers on the application of mass spectrometry-based metabolomics in breast cancer detection, exploring both targeted and untargeted approaches. Dr. Jasbi investigates metabolic signatures in various biological samples to enhance early detection methods and therapeutic strategies. Additionally, her research extends to studying the impact of gut microbiome and metabolome alterations on susceptibility to fungal infections and other health outcomes. Through her innovative approaches, Dr. Jasbi aims to contribute significantly to precision medicine and personalized healthcare solutions.

Publication Top Notes

Breast cancer detection using targeted plasma metabolomics

Antibiotic-induced gut metabolome and microbiome alterations increase the susceptibility to Candida albicans colonization in the gastrointestinal tract

Database-assisted globally optimized targeted mass spectrometry (dGOT-MS): broad and reliable metabolomics analysis with enhanced identification

Early breast cancer detection using untargeted and targeted metabolomics

Triple negative breast cancer detection using LC–MS/MS lipidomic profiling

Lipopolysaccharide and the gut microbiota: Considering structural variation

Metabolic Profiling of Neocortical Tissue Discriminates Alzheimer’s Disease from Mild Cognitive Impairment, High Pathology Controls, and Normal Controls

Development of a rapid point-of-care test that measures neutralizing antibodies to SARS-CoV-2

Coccidioidomycosis detection using targeted plasma and urine metabolic profiling

Influence of storage conditions and preservatives on metabolite fingerprints in urine

 

Byoung-Suhk Kim | energy storage devices | Best Researcher Award

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Prof Byoung-Suhk Kim | energy storage devices | Best Researcher Award

Prof Byoung-Suhk Kim, Jeonbuk National University, South Korea

Prof  Byoung-Suhk Kim is a distinguished Professor at Jeonbuk National University, Republic of Korea 🇰🇷. With expertise in materials engineering and a Ph.D. from Hokkaido University, Japan 🎓, he specializes in supercapacitors, transparent flexible electrodes, and electrocatalysts. His extensive international experience includes research roles in the USA, Germany, and Japan 🌍. As an editorial board member for several renowned journals, including ‘Energy and Catalysis’ and ‘Electrochemistry’, he contributes significantly to the field of nanomaterials and polymer science.

Publication Profile

Google scholar

Education

Byoung-Suhk Kim pursued his academic journey with a Ph.D. in Biological Sciences (Macromolecular Functions) from Hokkaido University 🎓 in 1999, preceded by an M.S. in Fiber Chemistry 🧪 from Jeonbuk National University, South Korea 🇰🇷 in 1995, and a B.S. in Textile Engineering 🧵 from the same university in 1993. His educational path equipped him with diverse expertise in polymer science and materials engineering, laying a strong foundation for his esteemed career as a professor and researcher in the field of carbon composites and organic materials.

Experience

Byoung-Suhk Kim has held a distinguished career path, currently serving as a Professor 🎓 at Jeonbuk National University, Republic of Korea 🇰🇷 since March 2012. His global experience includes roles such as Visiting Researcher 🌍 at the University of Pennsylvania, USA 🇺🇸 (2019-2020), Global COE researcher 🌐 at Shinshu University, Japan 🇯🇵 (2008-2012), and Principal Researcher at the Kumho Petrochemical R&BD Center 🧪 in Daejeon, Republic of Korea 🇰🇷 (2007-2008). He has also been a distinguished Alexander von Humboldt Research Fellow 🌐 at the Max-Planck Institute for Polymer Research in Germany 🇩🇪 (2003-2005) and held postdoctoral positions at the University of Connecticut, USA 🇺🇸, and Sogang University, South Korea 🇰🇷.

Research Focus

Byoung-Suhk Kim’s research focuses on advanced materials for energy and biomedical applications 🧬⚡️. His work prominently features electrospun nanofibers, exploring their synthesis and applications in supercapacitors and biomaterials. He investigates polymer blends, nanocomposites, and functional coatings, emphasizing properties like water stability, electrocatalytic activity, and mechanical performance. Kim’s contributions extend to scalable synthesis techniques for nanohybrids, enhancing devices such as flexible electrodes and biosensors. His interdisciplinary approach integrates polymer science with nanotechnology to address challenges in energy storage, sensing, and tissue engineering, aiming to develop sustainable and high-performance materials for diverse technological needs.

Publication Top Notes

Electrospun poly (vinyl alcohol) nanofibers: effects of degree of hydrolysis and enhanced water stability

Titration behavior and spectral transitions of water-soluble polythiophene carboxylic acids

Amphiphilic telechelics incorporating polyhedral oligosilsesquioxane: 1. Synthesis and characterization

Fabrication of nano‐hydroxyapatite on electrospun silk fibroin nanofiber and their effects in osteoblastic behavior

Reversible and universal pH sensing cellulose nanofibers for health monitor

Facile Synthesis of Core/Shell-like NiCo2O4-Decorated MWCNTs and its Excellent Electrocatalytic Activity for Methanol Oxidation

Nanofibers: Production, properties and functional applications

NiCo 2 S 4 nanosheet-decorated 3D, porous Ni film@ Ni wire electrode materials for all solid-state asymmetric supercapacitor applications

Cure behaviors and mechanical properties of carbon fiber-reinforced nylon6/epoxy blended matrix composites

Effect of deacetylation on wicking behavior of co-electrospun cellulose acetate/polyvinyl alcohol nanofibers blend

Prof Chuen-Horng Lin | Computer Vision | Best Researcher Award

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Prof Chuen-Horng Lin | Computer Vision | Best Researcher Award

Prof Chuen-Horng Lin, National Taichung University of Science and Technology, Taiwan

Chuen-Horng Lin, Ph.D., is a distinguished Professor in the Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan. He earned his M.S. and Ph.D. in Applied Mathematics from National Chung-Hsing University, Taiwan. Dr. Lin’s research focuses on computer vision, image processing, machine learning, deep learning, and pattern recognition. His work specifically delves into automated analysis of images and videos through advanced detection, tracking, and segmentation methods. With numerous publications and a robust academic presence, Dr. Lin continues to contribute significantly to the field, bridging theoretical advancements with practical applications in digital imaging technologies.

Publication Profile

Google Shcolar

Education

Chuen-Horng Lin earned both his Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Applied Mathematics from National Chung-Hsing University, Taiwan. His academic journey at one of Taiwan’s leading institutions equipped him with a strong foundation in mathematical principles and their applications. This rigorous training provided him with essential skills and insights that have been pivotal to his subsequent career in computer science and engineering. Dr. Lin’s educational background continues to underpin his research and contributions to fields such as computer vision, image processing, machine learning, deep learning, and pattern recognition, shaping his expertise in automated image and video analysis techniques.

Research focus

Chuen-Horng Lin’s research spans several interdisciplinary areas, with a primary focus on advancing techniques in computer vision, image processing, and machine learning. His work is characterized by pioneering contributions to content-based image retrieval systems, leveraging color, texture, and spatial features for enhanced accuracy and efficiency. Dr. Lin has also delved into the development of algorithms like the fast K-means method tailored for image retrieval, and the application of adaptive features using genetic algorithms for image classification. Additionally, he has made significant contributions to queueing theory and optimization models, particularly in multi-server systems and queueing analysis with fuzzy parameters, showcasing his broad expertise in both theoretical and applied aspects of computational sciences.

Publication Top Notes

A smart content-based image retrieval system based on color and texture feature

Fast K-means algorithm based on a level histogram for image retrieval

Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection

Multi-server system with single working vacation

Detection and segmentation of cervical cell cytoplast and nucleus

Fast color-spatial feature based image retrieval methods

Image retrieval and classification using adaptive local binary patterns based on texture features

Fuzzy analysis of queueing systems with an unreliable server: A nonlinear programming approach

A redundant repairable system with imperfect coverage and fuzzy parameters

Maximum entropy approach for batch-arrival queue under N policy with an un-reliable server and single vacation

 

AHMED SHERIF EL-GIZAWY | Digital Design | Best Innovation Award

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Prof AHMED SHERIF EL-GIZAWY | Digital Design | Best Innovation Award

Prof AHMED SHERIF EL-GIZAWY , Industrial Technology Development and Management (ITECH D&M) , United States

Ahmed Sherif El-Gizawy, Ph.D., is a distinguished figure in mechanical engineering, renowned for his extensive contributions to digital design and manufacturing, particularly in biomedical and aerospace applications. With a career spanning over three decades, he has led groundbreaking research at the University of Missouri and founded ITech D&M, LLC, dedicated to advancing technological solutions. El-Gizawy’s expertise encompasses process modeling, quality engineering, and additive manufacturing, bolstered by leadership in multidisciplinary research initiatives. A prolific author and educator, he has supervised numerous doctoral candidates and published widely, impacting industries globally. 🌐

Publication Profile

Scopus

Education

Ahmed Sherif El-Gizawy, Ph.D., earned his Bachelor’s and Master’s degrees in Mechanical Engineering from Cairo University, Egypt, in 1972 and 1976 respectively. He later pursued his Doctorate in Mechanical Engineering at the University of Waterloo, Ontario, Canada, graduating in 1983. 🎓 Throughout his academic journey, El-Gizawy’s focus on engineering has laid the foundation for his distinguished career in research, teaching, and technological innovation, particularly in areas like process modeling and additive manufacturing. His educational background underscores his deep commitment to advancing engineering knowledge and practical applications in diverse industrial sectors.

Experience

Ahmed Sherif El-Gizawy, Ph.D., boasts a diverse and illustrious career in academia and industry spanning several decades. Currently serving as President and Chief Technical Officer of ITECH D&M, LLC in Columbia, Missouri since 2009, he also holds positions as Distinguished Adjunct Professor at San Diego State University and has been involved with King Abdulaziz University in Saudi Arabia as both a professor and adjunct faculty member. El-Gizawy’s tenure at the University of Missouri-Columbia, where he served as Director and College Research Professor from 1992 to 2019, underscores his extensive leadership in research and development. His career journey reflects a steadfast commitment to advancing engineering education and innovation globally. 🌍

Research Focus

Ahmed Sherif El-Gizawy, Ph.D., focuses his research on advancing additive manufacturing and predictive modeling in engineering. His work, notably in developing 3D finite element models for processes like Selective Laser Melting (SLM), addresses critical issues such as process-induced defects and thermal deformation. El-Gizawy’s contributions extend to analytical models for optimizing cutting force coefficients and enhancing drilling techniques for titanium alloys. These efforts underscore his commitment to innovation in manufacturing technology, aiming to improve product quality and process efficiency. 🛠️ His interdisciplinary approach bridges theoretical insights with practical applications, driving advancements in materials science and engineering simulation.

Publication Top Notes

 “Variability of human femoral geometry and its implications on nail design.”

Development of a combined analytical and experimental approach for the determination of the cohesive strength between material extrusion layers using the true area of contact.”

“Developing semiautonomous system for robust performance of centrifugal pumping system.”

“Development of 3D finite element model for predicting process-induced defects in additive manufacturing by Selective Laser Melting (SLM).”

“Development of analytical model for predicting dual-phase ejector performance.”

“Development of three-dimensional thermomechanical finite element model for prediction of thermal deformation during selective laser sintering processes.”

“Identification of cutting force coefficients for the linear and nonlinear force models in end milling process using average forces and optimization technique methods.”

“Optimization of Multiple Quality Characteristics for Dry Drilling Ti-6Al-4V Using TiAlN-Coated Carbide Tool.”

“A simple locking-alleviated 3D 8-node mixed-collocation C0 finite element with over-integration, for functionally-graded and laminated thick-section plates and shells, with & without z-pins.”

“A simple locking-alleviated 4-node mixed-collocation finite element with over-integration, for homogeneous or functionally-graded or thick-section laminated composite beams.”