Xianhui Zong | Transportation Award | Best Researcher Award

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Ms Xianhui Zong | Transportation Award | Best Researcher Award

Ms Xianhui Zong, Nanjing University of Science and Technology ,China

Xianhui Zong, a dedicated Ph.D. candidate at Nanjing University of Science and Technology, has a solid academic foundation with a B.S. and M.S. in Mechanical Engineering from the University of Science and Technology Beijing. Her research interests lie in deep learning, computer vision, and intelligent transport. Xianhui has contributed significantly to her field, with four journal publications and an ongoing patent. Her work focuses on advancing intelligent monitoring and control of road risks, aiming to enhance transportation safety and efficiency ๐Ÿš€๐Ÿ“š.

Publication Profile

Scopus

Education

Xianhui Zong is a dedicated researcher pursuing her Ph.D. at the School of Intellectual Property, Nanjing University of Science and Technology. She holds a B.S. and M.S. in Mechanical Engineering from the University of Science and Technology Beijing, obtained in 2018 and 2021, respectively. Her research focuses on deep learning, computer vision, and intelligent transport ๐Ÿš—๐Ÿ’ก. With a solid academic background and a passion for technological advancements, Xianhui aims to contribute significantly to the field of intelligent transport systems, enhancing safety and efficiency on the roads through innovative solutions and cutting-edge research ๐Ÿ“š๐Ÿ”.

Research Focus

Xianhui Zongโ€™s research primarily focuses on artificial intelligence and computer science, specifically within the realms of deep learning, computer vision, and intelligent transport ๐Ÿš—๐Ÿ’ก. She aims to advance technological innovations for real-time high-precision pedestrian tracking, visual enhancement in complex environments, and temperature field analysis during manufacturing processes. Her work seeks to enhance safety and efficiency in transportation and industrial applications through cutting-edge AI solutions and intelligent monitoring systems ๐Ÿ“š๐Ÿ”. Xianhui’s research contributions are pivotal in developing smarter, more efficient systems that can adapt to dynamic real-world conditions ๐ŸŒ๐Ÿ”ง.

Publication Top Notes

Real-time high-precision pedestrian tracking: a detectionโ€“trackingโ€“correction strategy based on improved SSD and Cascade R-CNN (2022) – 11 citations ๐Ÿ“„๐Ÿ”

Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment (2021) – 24 citations ๐ŸŒŠ๐Ÿ“ˆ

Analysis of the temperature field during the selective laser melting process based on a finite element model (2019) – 2 citations ๐Ÿ”ฅ๐Ÿ–ฅ๏ธ

Online monitoring based on temperature field features and prediction model for selective laser sintering process (2018) – 14 citations ๐ŸŒก๏ธ๐Ÿ“Š

Image processing methods based on key temperature features for state analysis and process monitoring of selective laser melting (SLM) (2018) – 2 citations ๐Ÿ“ธ๐Ÿ“‰

Hadi Zare-Zardini | Biomedicine Award | Best Researcher Award

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Assist Prof Dr Hadi Zare-Zardini | Biomedicine Award | Best Researcher Award

Assist Prof Dr Hadi Zare-Zardini, Meybod University, Iran

Dr. Hadi Zare-Zardini, a nanobiotechnologist based in Meybod, Iran, serves as an Assistant Professor at Meybod University and Research Associate at Shahid Sadoughi Hospital. His expertise spans nanobiotechnology and biomedical engineering, with a focus on drug delivery systems and anticancer research. Holding a Ph.D. in Nanobiotechnology from the University of Isfahan, his doctoral thesis explored graphene oxide-based drug delivery systems. Dr. Zare-Zardini is also actively involved in teaching and has authored numerous publications in prestigious journals. His research interests include enzymology, proteomics, and nanotechnology ๐Ÿงฌ.

Publication Profile

Orcid

Education

Dr. Hadi Zare-Zardini has pursued a distinguished academic journey, culminating in a Ph.D. in Nanobiotechnology from the University of Isfahan in 2018. Prior to this, he completed an M.Sc. in Biochemistry at Ferdowsi University of Mashhad in 2011 and obtained his B.Sc. in Biology from the University of Isfahan in 2005. ๐ŸŽ“ His educational path reflects a deep-rooted commitment to advancing knowledge in biotechnology and biochemistry, pivotal to his current roles as an Assistant Professor at Meybod University and Research Associate at Shahid Sadoughi Hospital in Iran. Dr. Zare-Zardini’s academic achievements underscore his dedication to cutting-edge research in nanobiotechnology and biomedical sciences.

Experience

Dr. Hadi Zare-Zardini boasts extensive teaching experience across a diverse spectrum of biological and biochemical disciplines. Since 2012, he has been instrumental in shaping the academic landscape at Yazd University of Science and Arts, where he instructs courses ranging from Molecular Biotechnology to Biochemistry and Nanobiotechnology ๐Ÿงฌ. His pedagogical influence extends to Payame Noor University in Taft, where he laid the foundation in Biochemistry and General Biology from 2011 to 2015. Currently, as a dedicated educator at Meybod University and Isfahan University of Medical Sciences, he continues to impart knowledge in subjects like Cell Biology, Genetics, and Bioinformatics, nurturing future scientists in Iran’s academic arena.

Awards and Honors

Dr. Hadi Zare-Zardini’s illustrious career is punctuated by numerous accolades and honors, recognizing his exceptional contributions to research and academia. Notably, he was named Top Researcher at Meybod University in 2023 and hailed as the Top Researcher of Yazd Province in 2018 ๐Ÿ†. His early achievements include being honored by the Young Researchers and Elite Club multiple times and recognized as Top Student at Ferdowsi University of Mashhad in 2009. Dr. Zare-Zardini’s dedication to advancing biochemistry and nanoscience has earned him prestigious awards such as the Scientific Award of Imam Sadeq Foundation and recognition for the best doctoral thesis in Nanoscience. His impactful presentations and contributions further underscore his leadership in the field of biophysics and protein sciences.

Research Focus

Dr. Hadi Zare-Zardini’s research focus spans diverse fields, notably exploring the multifaceted applications of graphene and carbon nanostructures in biomedical contexts, including vaccine design and cancer therapy ๐Ÿงฌ. His investigations delve into the promising potentials and challenges of utilizing graphene-based nanovaccines, aiming to enhance immunogenicity and therapeutic efficacy. Additionally, he explores the biochemical responses and toxicological aspects associated with nanostructures, shedding light on their impact on biological systems. Dr. Zare-Zardini’s work also extends to evaluating novel therapeutic agents for cancer treatment, emphasizing innovative approaches that integrate nanotechnology with biological systems to tackle complex medical challenges.

Publication Top Notes

A Narrative Review on the Promising Potential of Graphene in Vaccine Design: Evaluating the Benefits and Drawbacks of Carbon Nanoplates in Nanovaccine Production

Application of Scaffold-Based Drug Delivery in Oral Cancer Treatment: A Novel Approach

Comparative Analysis of Osteoblastic Responses to Titanium and Alumina-Toughened Zirconia Implants: An In Vitro Study

Scaffold Application for Bone Regeneration with Stem Cells in Dentistry: Literature Review

Behavioral studies of mice with breast cancer after treatment with new anticancer agent, Rh2-containing arginine-graphene

Biochemical responses as early and reliable biomarkers of organophosphate and carbamate pesticides intoxication: A systematic literature review

Comparison of Rectal and Sublingual Misoprostol Prescription to Reduce Bleeding During and After Cesarean Section: double blind, randomized clinical trial

Investigating the toxicity of germ of date seed on normal and cancerous cell line and P53 gene expression

Relationship of severity of COVID-19 disease with lung-CT-scan imaging

Roles of Different beta-Defensins in the Human Reproductive System: A Review Study

Markus Miller | Electrical Engineering Award | Best Researcher Award

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Mr Markus Miller | Electrical Engineering Award | Best Researcher Award

Mr Markus Miller, Institute of Automation Technology, University of Bremen ,Germany

๐Ÿ‘จโ€๐ŸŽ“ Markus Miller is an accomplished electrical engineer and Ph.D. researcher at the University of Bremen’s Institute of Automation Technology under Prof. Dr. Johanna Myrzik. His work focuses on integrating renewable energy into power grids, developing methodologies for hybrid AC-DC systems. Markus excels in probability and stochastic processes, aiding power grid planning as a tutor for “Stochastic Systems.” Noteworthy achievements include winning the 2016 Bremen Big Data Challenge. His research emphasizes cost-effective, flexible, and resilient grid expansion using AI and optimization techniques. Currently, he explores Smart Power Cells (SPCs) under the DFG SPP 1984 program, addressing challenges in decentralized power systems and Distributed Energy Resources (DERs).

Publication Profile

Orcid

Education

๐ŸŽ“ Markus Miller pursued his academic journey at the University of Bremen, where he earned a Bachelor of Science in Electrical Engineering and Information Technology from 2015 to 2019. Building upon this foundation, he continued to excel, completing his Master of Science in the same field from 2019 to 2021. His education equipped him with profound knowledge in electrical engineering, preparing him for his current role as a Ph.D. researcher specializing in renewable energy integration at the Institute of Automation Technology. Markus’s academic path underscores his dedication to advancing sustainable energy solutions and enhancing power grid efficiency through innovative methodologies and advanced technologies.

Experience

๐Ÿ”‹ Markus Miller is currently immersed in pioneering research at the University of Bremen, focusing on integrating renewable energy into power grids. His work centers on developing comprehensive methodologies for planning interconnected hybrid and multimodal AC-DC power systems. As part of the DFG SPP 1984 program’s second phase, Markus explores the pivotal role of Smart Power Cells (SPCs) in decentralized power networks. Leveraging AI and mathematical programming solvers, he optimizes SPC operations and planning, tackling challenges such as Distributed Energy Resources (DERs), power generation uncertainties, and storage system operations. Additionally, Markus imparts his expertise as a tutor for “Stochastic Systems,” enhancing students’ grasp and application of probability and stochastic processes in power grid planning.

 

Research Focus

Markus Miller’s current research focuses on optimizing the allocation of renewable energy systems within weak distribution networks. This work, highlighted in the journal article “Optimal allocation of renewable energy systems in a weak distribution network” published in Electric Power Systems Research, aims to enhance the integration of renewable energy sources into power grids. Collaborating with Josรฉ Luis Paternina Durรกn, Sergio F. Contreras, Camilo A. Cortes, and Johanna M.A. Myrzik, Markus addresses critical challenges such as grid stability and efficiency. By employing advanced methodologies and leveraging interdisciplinary insights, his research contributes to sustainable energy solutions that are crucial for meeting future energy demands while minimizing environmental impact.

Publication Top Note

Optimal allocation of renewable energy systems in a weak distribution network

Dr Fahad Allahaim | Technology Award | Best Researcher Award

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Dr Fahad Allahaim | Technology Award | Best Researcher Award

Dr Fahad Allahaim , King Saud University , Saudi Arabia

Dr. Fahad Saud Allahaim is an Assistant Professor at King Saud University’s College of Architecture and Planning in Riyadh, Saudi Arabia. With a Ph.D. in Architectural & Engineering Economics from the University of Sydney, his expertise spans architecture, building technology, urban economics, and AI in the built environment. Dr. Allahaim also serves as Vice Dean for Academic Affairs and Head of Business Development at his university. He holds multiple leadership roles in national committees shaping Saudi building codes and urban standards. Passionate about sustainable design, he is a certified Architectural Consultant and Quality Ambassador. ๐Ÿข๐ŸŒ

Publication Profile

Orcid

Education

Dr. Fahad Saud Allahaim holds a Ph.D. in Architectural & Engineering Economics from the University of Sydney, specializing in understanding and mitigating cost overruns in infrastructure projects. His research includes developing risk-based cost estimation models and typologies for cost overrun causes, particularly focused on Saudi Arabia. With master’s degrees in Building Services/Technology and Facilities Management from the University of Sydney, he advocates for adaptable building design frameworks. Dr. Allahaim completed his Bachelor of Science in Architecture & Building Science at King Saud University, contributing to projects addressing urban challenges in Riyadh. He is also a certified Consultant, Accredited Trainee, and Quality Ambassador in related fields.

Research Focus

Dr. Fahad Saud Allahaim’s research focuses on understanding and mitigating cost overruns in infrastructure projects, employing innovative methodologies such as cluster analysis and risk-based cost contingency models. His work, notably presented at international conferences like ICMA 2019 and AACE International Annual Meeting 2016, contributes significantly to improving cost forecasting accuracy and enhancing project management strategies. As an Assistant Professor at King Saud University, he integrates these insights into teaching and consultancy, emphasizing sustainable and efficient building practices. Dr. Allahaim’s commitment to advancing architectural and engineering economics is marked by his roles as a consultant and quality ambassador, driving forward industry standards. ๐Ÿ—๏ธ

Publication Top Notes

An empirical typology of cost overrun in infrastructure projects by using cluster analysis to understand Saudi Building code

Risk-Based Cost Contingency Estimation Model for Infrastructure Projects

Improving the cost forecasting accuracy through classification of main causes of cost overrun in infrastructure project โ€“ illustration using Saudi Arabia survey data

Danijela Domljan | Biotechnology Award | Best Researcher Award

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Assoc Prof Dr Danijela Domljan | Biotechnology Award | Best Researcher Award

Assoc Prof Dr Danijela Domljan , University of Zagreb Faculty of Forestry and Wood Technology, Croatia

Assoc Profย  Dr. Danijela Domljan is a pioneering figure in Croatian industrial design, blending a unique background in product design and biotechnology. With over 19 years in higher education, she serves as Associate Professor at the Faculty of Forestry and Wood Technology in Zagreb. Dr. Domljan’s interdisciplinary approach integrates art, design, ergonomics, and wood technology, focusing on sustainable, user-centered furniture and interior solutions. Her research, spanning over 100 publications and numerous international conferences, emphasizes creativity, health, and environmental responsibility in design. As a mentor, she inspires students and leads projects that bridge academia, industry, and community, advocating for innovative and culturally grounded design practices.

Publication Profile

Orcid

Education

Dr. Danijela Domljan is a distinguished academic with extensive educational achievements. She completed her Ph.D. in Biotechnical Science, specializing in Wood Technology, Construction, and Design of Wood Products at the University of Zagreb’s Faculty of Forestry from 2004 to 2011. Prior to her doctoral studies, she earned her MA in Design from the University of Zagreb Faculty of Architecture School of Design between 1990 and 1996. Her foundational education began with an Interior Design High School Diploma from the School for Applied Arts and Design in Zagreb, Department of Architecture, where she studied from 1986 to 1990, laying the groundwork for her illustrious career in design and academia.

Experience

Dr. Danijela Domljan has pursued a distinguished career spanning various roles in academia and industry. Since March 2021, she has held the position of Associate Professor at the University of Zagreb, Faculty of Forestry and Wood Technology, specializing in Wood Technology and Furniture. Prior to this, from December 2014 to March 2021, she served as Assistant Professor at the same institution, following roles as Assistant and High Assistant from March 2004 to December 2014. Dr. Domljan began her professional journey as an Industrial Designer at Tvin Ltd. Wood & timber industry in Zagreb, where she contributed to product R&D from November 1996 to March 2004, enriching her expertise in design and biotechnical fields.

 

Awards And Honors

Dr. Danijela Domljan has garnered numerous accolades throughout her career, reflecting her impactful contributions to academia and design. Most recently, she received the 2024 Recognition for significant achievements from the Faculty of Forestry and Wood Technology, University of Zagreb, for enhancing the institution’s reputation. In 2023, she was honored with the Award for Excellence in Teaching and working with students, recognized as the best professor at the Wood Technology Section. Her accolades also include recognitions spanning from 2004 to 2018 for her involvement in the Wood Technology Conference in Opatija and the National Competition of wood technical-designers of Croatian Vocational schools. Dr. Domljan’s design prowess was previously acknowledged with the Gold Medal Mobil Optimum at the 2000 and 1993 International furniture fair Ambienta in Zagreb, highlighting her enduring impact in professional and student categories.

Research Focus

Dr. Danijela Domljan’s research focuses on enhancing interior environments through sustainable wooden solutions. Her recent work explores the application of oak veneer residue in decorative wall panels, promoting ecological design in forestry practices ๐ŸŒณ. She investigates ergonomic considerations in school furniture and anthropometric dimensions of seating, ensuring optimal user comfort and health in educational settings ๐Ÿช‘. Additionally, her studies on smart office chairs with sensor technology aim to improve workplace ergonomics and user well-being ๐Ÿ–ฅ๏ธ. Dr. Domljan’s interdisciplinary approach integrates biotechnical sciences with design, contributing to publications such as “Design of Decorative Wooden Wall Panels” and “School Furniture Ergonomics.”

Publication Top Notes

“User Preferences on the Application of Wooden Wall Coverings in Interiors Made of Oak Veneer Residue” (Buildings, 2024-06-13)

“Positive Aspects of Using Solid Wood in Interiors on Human Wellbeing: A Review” (Drvna Industrija, 2023-09-29)

“Research of Carbon Biosensors for Application in Seating Furniture: A Review” (Drvna Industrija, 2023-06)

“Comparison of anthropometric dimensions of preschool children and chairs in kindergartens in North Macedonia, Bulgaria and Croatia” (Heliyon, 2023-03)

“Design of Decorative Wooden Wall Panels from Sliced Pedunculate Slavonian Oak (Quercus robur L.) from Veneer Production Residue” (Forests, 2023-02)

“Smart Office Chairs with Sensors for Detecting Sitting Positions and Sitting Habits” (Drvna industrija, 2022-05-31)

“Design of Sustainable Modular Wooden Booths Inspired by Revitalization of Croatian Traditional Construction and New User Needs Due to COVID-19 Pandemic” (Sustainability, 2022-01)

“First and Second Phase of Human Centered Design Method in Design of Exterior Seating Furniture” (Drvna industrija, 2021-07-22)

“School Furniture Ergonomics in Prevention of Pupilsโ€™ Poor Sitting Posture” (Drvna industrija, 2020-03-16)

“Compliance of Preschool Chair Dimensions” (Drvna industrija, 2019-06-28)

Dr Umer Daraz | Statistics Award | Best Researcher Award

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Dr Umer Daraz | Statistics Award | Best Researcher Award

Dr Umer Daraz ,Central South University, China

Umer Daraz is a dedicated statistician from Pakistan ๐Ÿ“Š. He completed his Ph.D. in Statistics from Soochow University, China ๐ŸŽ“, focusing on the properties and construction of three-level designs with less ฮฒ-aberration. With a strong academic foundation from Quaid-I-Azam University, Islamabad ๐Ÿ‡ต๐Ÿ‡ฐ, he has excelled in teaching roles at various institutions. Umer’s research interests include experimental design, applied statistics, and survey sampling ๐Ÿ“ˆ. He has contributed to numerous publications and actively participates in international conferences ๐ŸŒ. Umer’s passion for statistics drives his quest for innovative solutions in the field ๐Ÿ“š.

Publication Profile

Scopus

Education

Umer Daraz embarked on his academic journey at Punjab University, Lahore, Pakistan, where he earned a B.Sc in Mathematics, Statistics, and Economics from September 2009 to July 2011 ๐ŸŽ“. He then pursued an M.Sc in Statistics at Quaid-I-Azam University, Islamabad, Pakistan, completing it between March 2012 and January 2014 ๐Ÿ“Š. Umer continued his studies at the same university, achieving an M.Phil in Statistics from September 2014 to July 2016 ๐Ÿ“š. Finally, he earned his Ph.D. in Statistics from the School of Mathematical Sciences, Soochow University, Suzhou, China, from September 2019 to June 2023 ๐ŸŽ“

Professional Experienceย 

From September 2016 to May 2018, Umer Daraz served as a lecturer in the Department of Statistics at Federal Kintaar College, Rawalpindi, Pakistan ๐Ÿ‘จโ€๐Ÿซ. He was also a visiting lecturer at Riphah International University, Islamabad, from September 2016 to February 2017, where he taught Survey Sampling and Sampling Techniques ๐Ÿ“Š. Additionally, Umer taught Business Statistics at the Federal Urdu University, Islamabad, from March 2016 to August 2016 ๐Ÿ“š. His journey also includes a stint from March 2015 to February 2016 as a visiting lecturer in Business Mathematics and Statistics at Riphah International University ๐Ÿ“ˆ.

Research Focusย 

Dr. Umer Daraz’s research primarily focuses on statistical methodologies and their applications ๐Ÿ“Š. His work spans areas like experimental design, applied statistics, and survey sampling. He has a keen interest in developing new estimators and improving existing statistical techniques to handle extreme values and optimize data analysis processes ๐Ÿ“ˆ. Umer’s research also delves into the use of advanced statistical methods in medical and clinical studies, addressing methodological issues in predictive tools and risk assessment ๐Ÿ“š. His contributions are aimed at enhancing the precision and reliability of statistical models in various fields ๐ŸŒ.

Publication Top Notes

Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling ๐Ÿ“Š (0 citations), 2024

Methodological issues in use of MRI as a predictive tool ๐Ÿง  (0 citations), 2019

Methodological issues in predicting the occurrence of complications following corrective cervical deformity surgery ๐Ÿฅ (3 citations), 2019

The American College of Chest Physician score to assess the risk of bleeding during anticoagulation in patients with venous thromboembolism: comment ๐Ÿ’‰

 

Mingjing Zhang | Economics Award | Best Researcher Award

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Dr Mingjing Zhang | Economics Award | Best Researcher Award

Dr Mingjing Zhang, Capital University of Economics and Business, China

Mingjing Zhang is a doctoral graduate specializing in Accounting at Capital University of Economics and Business, Beijing. With a keen interest in corporate finance, corporate governance, and the green economy, Zhang has contributed significantly to research, notably exploring topics like supply chain alliances and environmental management systems. Their expertise extends to using Stata, Python, and Microsoft Office for data analysis. Zhang has published in prestigious journals such as International Review of Economics and Finance and Economics and Management Research. Recognized for academic excellence, they have received scholarships and awards, showcasing dedication to advancing financial understanding. ๐Ÿ“Š

Publication Profile

Google scolar

Award situation

Mingjing Zhang’s accolades highlight their academic prowess and communication skills. They received the Second-class Scholarship from Capital University of Economics and Business in 2012, followed by a First-class Scholarship from Lanzhou University of Finance and Economics in 2019. In 2018, Zhang achieved Second prize in the English Speech Contest at Lanzhou University of Finance and Economics, demonstrating proficiency in both academic achievement and public speaking. These awards underscore Zhang’s commitment to excellence in education and their ability to excel in competitive academic and linguistic arenas. ๐Ÿ…

Research Focus

Mingjing Zhang’s research primarily focuses on the economic aspects of environmental sustainability and ecological valuation. Specializing in corporate finance and governance, Zhang investigates how enterprises can integrate environmental considerations into their financial strategies. Their studies, spanning topics such as ecological product value realization in tourism services and wetland ecosystems, emphasize practical applications of economic theories to environmental management. Through detailed case studies and performance audits, Zhang contributes to understanding the financial implications of ecological conservation and compensation mechanisms, promoting sustainable practices in regions like Gansu Province. Their work exemplifies a commitment to bridging economic principles with environmental stewardship. ๐ŸŒฑ

Publication Top Notes

Zhou Yihong, Zhang Mingjing. Research on the realization of ecological product value based on tourism service of Danxia landform in Zhangye, Gansu. Friends of Accounting 20, 153-159. ๐ŸŒฟ 2021

Zhang Mingjing. A typical case study on the realization of ecological product value in Kang County, Gansu Province. Modern Commerce and Industry 42 (15), 34-36. ๐Ÿ“Š 2021

Zhou Yihong, Zhang Mingjing. Case study on realization of wetland ecological value: based on the practice of Heihe wetland in Zhangye, Gansu. Business Accounting 6, 20-23. ๐ŸŒฑ 2021

Zhang Mingjing. Research on performance audit evaluation of ecological compensation funds in the upper reaches of the Yellow River based on the realization of ecological product value. Lanzhou University of Finance and Economics. ๐Ÿž๏ธ 2021

Hossein Khorasanizadeh | Renewable Energy Technologies Award | Excellence in Research

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Prof Hossein Khorasanizadeh | Renewable Energy Technologies Award | Excellence in Research

Prof Hossein Khorasanizadeh , University of Kashan , Iran

Professor Hossein Khorasanizadeh is a leading expert in Mechanical Engineering at the University of Kashan, Iran ๐Ÿซ๐Ÿ‡ฎ๐Ÿ‡ท. He holds a PhD in Mechanical and Manufacturing Engineering from the University of New South Wales ๐ŸŽ“๐Ÿ‡ฆ๐Ÿ‡บ. His research spans solar energy, thermal engineering, fluid mechanics, and nanofluids โ˜€๏ธ๐Ÿ”ง๐ŸŒŠ. Over his career, he has held various academic and administrative positions, including Head of the Department of Thermal Sciences and Fluid Mechanics. Professor Khorasanizadeh is renowned for his contributions to renewable energy and modern cooling and heating systems, making a significant impact on the engineering community ๐ŸŒฟ๐ŸŒก๏ธ.

Publication Profile

Orcid

Education

Professor Hossein Khorasanizadeh has an impressive academic background in Mechanical Engineering. He earned his PhD in Mechanical and Manufacturing Engineering from the University of New South Wales (1993-1997) ๐ŸŽ“๐Ÿ‡ฆ๐Ÿ‡บ. Prior to that, he completed his Master of Engineering Science in Mechanical Engineering at the same university (1992-1993) ๐Ÿ“˜. His foundational education was at the Isfahan University of Technology, where he obtained his Bachelor of Engineering Science in Mechanical Engineering (1983-1988) ๐ŸŽ“๐Ÿ‡ฎ๐Ÿ‡ท. This solid educational foundation has significantly contributed to his expertise in the field of mechanical engineering and his impactful research.

Manikandan | Civil Engineering Award | Best Researcher Award

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Mr k manikandan | Civil Engineering Award | Best Researcher Award

Mr k manikandan , national institute of technology puducherry , Indiaย 

K Manikandan is a research scholar at the National Institute of Technology Puducherry, India, specializing in the preservation of masonry heritage structures, particularly minarets. His research focuses on structural analysis, earthquake engineering, and machine learning applications in heritage conservation. Manikandan has developed a pioneering machine learning model to analyze and safeguard slender heritage structures, contributing significantly to architectural preservation. His work, published in a prestigious journal, utilizes digital documentation and ontological frameworks to mitigate structural risks. ๐Ÿ›๏ธ๐ŸŒ

Publication Profile

Scopus

Professional Background

K MANIKANDAN is deeply passionate about heritage preservation, showcasing expertise in structural analysis, earthquake engineering, and machine learning. His dedicated efforts are focused on safeguarding iconic architectural elements that hold immense cultural and religious significance. ๐Ÿ›๏ธ Through his research, he aims to ensure the longevity and resilience of masonry heritage structures, with a particular emphasis on minarets. This interdisciplinary approach integrates advanced engineering principles with historical preservation, addressing challenges posed by natural disasters and environmental factors. K MANIKANDAN’s work not only contributes to the preservation of tangible heritage but also fosters greater understanding and appreciation of architectural diversity across communities.

 

Research Focus

K MANIKANDAN’s research falls under the category of Structural Analysis and Machine Learning. ๐Ÿ—๏ธ His study focuses on the fundamental frequency formulation and modeling of masonry slender structures, employing a comparative analysis of machine learning and regression techniques. By exploring these advanced methodologies, he aims to enhance the understanding of structural dynamics and behavior in heritage buildings, particularly minarets. This research not only contributes to the field of earthquake engineering but also supports the preservation efforts of cultural and historical landmarks. Through innovative approaches, K MANIKANDAN seeks to ensure the resilience and longevity of these architectural treasures for future generations.

Publication Top Notes

“Fundamental frequency formulation and modeling of masonry slender structures: A comparative study of machine learning and regression techniques”