Yanlong Cong | Emerging Microbes & Infections | Best Researcher Award

Prof Dr. Yanlong Cong, Emerging Microbes & Infections, Best Researcher Award

Prof Dr. Yanlong Cong at Jilin University, China

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🌟Summary

Dr. Yanlong Cong is a distinguished professor at Jilin University, specializing in animal virology. His extensive research has earned him multiple scientific research awards and national patents. He has made significant contributions to the academic community through numerous publications and educational materials.

🎓 Education

I received my doctoral degree from China Agricultural University in 2007, specializing in animal virology. My academic journey provided a strong foundation in veterinary science and infectious diseases, which has been instrumental in shaping my research and teaching career. Since completing my doctorate, I have been committed to advancing the field of veterinary medicine through both academic and practical applications. My education has equipped me with the knowledge and skills necessary to contribute significantly to the study of zoonotic infectious diseases and the development of innovative solutions for veterinary health challenges.

💼 Professional Experience

Since 2007, I have served as a professor at the College of Animal Medicine, Jilin University, where I focus on animal virology. Over the years, my research has garnered six provincial and ministerial-level scientific research awards and eight national invention patents. I have published over 120 academic papers as the first author and corresponding author, contributing significantly to the field of veterinary science. Additionally, I have played a pivotal role in the creation of nine textbooks and academic works, either as an editor, co-editor, or contributor. My dedication to teaching and research has had a profound impact on advancing knowledge in zoonotic infectious diseases.

🔬 Research Interests

My research interests lie primarily in veterinary molecular virology, with a particular focus on zoonotic infectious diseases. I am dedicated to exploring molecular epidemiological traceability, developing genetic engineering vaccines, and establishing differential diagnosis methods. Additionally, I investigate the adaptability mechanisms of various significant pathogens, aiming to understand their behavior and interactions at a molecular level. My work seeks to advance the understanding of animal viruses and improve the strategies for preventing and controlling infectious diseases in livestock, ultimately contributing to both animal and public health.

📖 Publication Top Noted

Article Title: Hemagglutinin glycosylation pattern-specific effects: implications for the fitness of H9.4.2.5-branched H9N2 avian influenza viruses

  • Authors: Yixue Sun, Yanting Zhu, Pengju Zhang, Shouzhi Sheng, Zhenhong Guan, Yanlong Cong
  • Journal: Emerging Microbes & Infections
  • Year: 2024

Article Title: Isolation and Identification of Novel Highly Pathogenic Avian Influenza Virus (H5N8) Subclade 2.3.4.4b from Geese in Northeastern China

  • Authors: Yanting Zhu, Yulin Cong, Yixue Sun, Jinhong Han, Lili Gai, Tiantian Yang, Chang Liu, Lifeng Zhao, Yanlong Cong, Nicole R. Buan
  • Journal: Applied and Environmental Microbiology
  • Year: 2023

Article Title: Evaluation on the receptor-binding preference and drug resistance of H9N2 influenza viruses

  • Authors: Jiazi Su, Xiaoyu Deng, Yixue Sun, Haiying Yu, Yulin Cong, Yanlong Cong
  • Year: 2021

Article Title: Assessing the effects of a two-amino acid flexibility in the Hemagglutinin 220-loop receptor-binding domain on the fitness of Influenza A(H9N2) viruses

  • Authors: Yixue Sun, Yulin Cong, Haiying Yu, Zhuang Ding, Yanlong Cong
  • Journal: Emerging Microbes & Infections
  • Year: 2021

Suren Kulshreshtha | Farm level data | Best Researcher Award

Dr. Suren Kulshreshtha, Farm level data, Best Researcher Award

Doctorate at University of Saskatchewan, Canada

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🌟Summary

Surendra Nath Kulshreshtha is a distinguished Professor Emeritus in the Department of Agricultural and Resource Economics at the University of Saskatchewan. With extensive academic and professional experience spanning several decades, he has made significant contributions to agricultural economics, particularly in econometrics, rural development, and environmental economics.

🎓 Education

  • Ph.D., Agricultural Economics, University of Manitoba, 1965
  • M.Sc., Agriculture Economics, Agra University, India, 1960
  • B.Sc., Agriculture, Agra University, India, 1958

💼 Professional Experience

  • Professor Emeritus, University of Saskatchewan, Department of Agricultural and Resource Economics
  • Various academic appointments including Assistant Professor, Associate Professor, and Professor (1976)
  • Research Economist at Hedlin-Menzies and Associates Ltd.
  • Instructor at Carleton University and Assistant Professor at R.B.S. College, Agra University, India

🔬 Research Interests

Surendra Nath Kulshreshtha’s research interests are multifaceted, spanning crucial areas within agricultural economics and environmental sustainability. His work delves deeply into econometrics tailored for agricultural contexts, aiming to refine predictive models and economic analysis techniques pertinent to rural development. Kulshreshtha’s research also explores the intricate dynamics of environmental economics, focusing particularly on sustainability practices and impact assessments within agricultural systems. Through his extensive scholarly contributions, he continues to advance methodologies that underpin informed decision-making in agriculture, aiming to address contemporary challenges such as climate change impacts on agricultural productivity and the economic viability of sustainable agricultural practices.

📖 Publication Top Noted

Article: Enhancing environmental sustainability in eastern Canada’s corn agroecosystem with controlled drainage and subsurface irrigation

    • Authors: Sun, R.; Kulshreshtha, S.N.; Crézé, C.M.; Madramootoo, C.A.
    • Journal: Journal of Water and Climate Change
    • Volume, Issue: 14(6)
    • Pages: 1900–1911
    • Year: 2023

Article: Canadian horticultural growers’ perceptions of beneficial management practices for improved on-farm water management

    • Authors: Bogdan, A.-M.; Kulshreshtha, S.N.
    • Journal: Journal of Rural Studies
    • Volume, Issue: 87
    • Pages: 77–87
    • Year: 2021

Article: Carbon life cycle assessment of shelterbelts in Saskatchewan, Canada

    • Authors: Rudd, L.; Kulshreshtha, S.; Belcher, K.; Amichev, B.
    • Journal: Journal of Environmental Management
    • Volume: 297
    • Pages: 113400
    • Year: 2021

Article: The Economic Impact of the Comprehensive and Progressive Agreement for Trans-Pacific Partnership on Saskatchewan: A Subnational Computable General Equilibrium-Based Analysis

    • Authors: Ghaith, Z.; Kulshreshtha, S.; Natcher, D.
    • Journal: International Trade Journal
    • Year: 2022

Article: Co-benefits of climate change mitigation from innovative agricultural water management: a case study of corn agroecosystem in eastern Canada

    • Authors: Sun, R.; Marmanilo, M.M.; Kulshreshtha, S.
    • Journal: Mitigation and Adaptation Strategies for Global Change
    • Volume, Issue: 28(8)
    • Pages: 47
    • Year: 2023

Sofia Aleshina | Economics of climate change | Best Researcher Award

Mrs. Sofia Aleshina, Economics of climate change, Best Researcher Award

Mrs. Sofia Aleshina at University of Malaga, Spain

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🌟Summary

A dedicated educator and researcher with expertise in mathematics, mental arithmetic, and MBA education. Currently pursuing a PhD in Applied Economics with a focus on circular economy and climate change. Skilled in developing interactive and engaging learning experiences for diverse age groups.

🎓 Education

  • PhD Student in Applied Economics
    University of Malaga, Spain (2022 – Present)
    🧩 Circular economy, climate change, mathematical modeling, information theory, entropy.
  • Master of Business Administration (MBA)
    University of Bedfordshire, UK (2019 – 2020)
    📈 Developed a business plan for a telecommunication company in Malta.
  • Bachelor of Mathematics
    National Research University “Higher School of Economics”, Russia (2014 – 2018)
    🔢 Algebra, calculus, computer science, programming (Python, C/C++, SQL), big data, statistics, machine learning.

💼 Professional Experience

  • MBA Lecturer
    Language Academy IgroTeka, Madrid, Spain (Oct 2021 – Present)
    📚 Developed online MBA classes, prepared quizzes, and monitored academic progress.
  • Tutor of Mathematics/Mental Arithmetic
    Kaleidoscope, Malaga, Spain (Jan 2021 – Present)
    🧮 Delivered lessons to international children, developed interactive courses using abacus methodology.
  • Secondary School Teacher
    Multilingual Educational Center Eureka, Marbella, Spain (Jun 2021 – Jun 2022)
    🏫 Taught based on Spanish curriculum, conducted workshops, and prepared gifted children for Olympiads.
  • Academic Administrator & Accounts Clerk
    London School of Commerce, Floriana, Malta (Feb 2019 – Mar 2021)
    📋 Processed applications, assisted with visa procedures, managed financial records and reports.

🔬 Research Interests

Sofia Aleshina’s research interests revolve around the intersection of applied economics, circular economy, and climate change. Her doctoral studies at the University of Malaga focus on leveraging mathematical modeling and informational theory to address environmental challenges within the framework of circular economy practices. Sofia’s academic pursuits are driven by a commitment to developing sustainable solutions that mitigate the impact of climate change while fostering economic resilience. She explores the dynamics of entropy and its implications in economic systems, aiming to contribute innovative insights to global efforts in environmental conservation and resource management. Sofia’s interdisciplinary approach integrates her background in mathematics and economics, aiming to bridge theoretical frameworks with practical applications to drive positive environmental outcomes.

📖 Publication Top Noted

Juan Ignacio Martínez de Morentin | Social Impact | Best Researcher Award

Prof Dr. Juan Ignacio Martínez de Morentin, Social Impact , Best Researcher Award

Prof Dr. Juan Ignacio Martínez de Morentin at Universidad del País Vasco, Spain

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🌟Summary

Dr. Juan Ignacio Martínez de Morentin is a Full Professor at the University of the Basque Country (UPV/EHU), specializing in Evolutionary and Educational Psychology. He leads the UNESCO Chair on Communication and Educational Values, fostering knowledge exchange on media and values. His research focuses on educational values, media literacy, adolescent identity, and digital risks.

🎓 Education

Dr. Juan Ignacio Martínez de Morentin holds a PhD in Pedagogy from the University of the Basque Country (UPV/EHU), obtained in 2003. He also earned a Licentiate in Pedagogy from UPV/EHU in 1990 and completed a Certificate in Leisure Studies at the University of Oxford in 1994. Additionally, he received a Diploma of Advanced Studies in Education and Society in Euskal Herria from UPV/EHU in 2005, showcasing his extensive academic background and commitment to the field of education.

💼 Professional Experience

Dr. Juan Ignacio Martínez de Morentin is a Full Professor at the University of the Basque Country (UPV/EHU) in the Department of Evolutionary and Educational Psychology, a position he has held since 2020. He serves as the head of the UNESCO Chair on Communication and Educational Values, promoting the exchange of knowledge on media and educational values. His international experience includes serving as a UNESCO Research Fellow from 1995 to 1997 and as a Visiting Professor at the University of Geneva in 2018. His extensive professional experience underscores his leadership in educational research and his commitment to advancing media literacy and educational values.

🔬 Research Interests

Dr. Juan Ignacio Martínez de Morentin’s research primarily focuses on media literacy and educational values, examining the impact of media on educational values and the role of digital education. He investigates adolescent identity formation, particularly how adolescents construct their identities and the influence of parental mediation in this process. Another key area of his research is digital anomie and risk perception, where he explores the psychological and educational aspects of digital risks, including the inappropriate use of the internet and social media, and the perception of these risks among different age groups.

📖 Publication Top Noted

Article: An intervention to improve media and information literacy

    • Authors: Cuervo-Sánchez, S.L., Martínez-De-morentin, J.I., Medrano-Samaniego, C.
    • Journal: Educacion XX1
    • Volume: 25
    • Issue: 1
    • Pages: 407–431
    • Year: 2022

Article: Risks Associated with Posting Content on the Social Media

    • Authors: Martinez-De-Morentin, J.-I., Lareki, A., Altuna, J.
    • Journal: Revista Iberoamericana de Tecnologias del Aprendizaje
    • Volume: 16
    • Issue: 1
    • Pages: 77–83
    • Year: 2021

Article: The impact of becoming a parent about the perception of Internet risk behaviors

    • Authors: Altuna, J., Martínez-de-Morentin, J.-I., Lareki, A.
    • Journal: Children and Youth Services Review
    • Volume: 110
    • Pages: 104803
    • Year: 2020

Article: Influence of self-esteem and attention on the academic performance of ESO and FPB students

    • Authors: Cid-Sillero, S., Pascual-Sagastizabal, E., Martinez-de-Morentin, J.-I.
    • Journal: Revista de Psicodidactica
    • Volume: 25
    • Issue: 1
    • Pages: 59–67
    • Year: 2020

Article: Young people and digital services: Analysis of the use, rules, and age requirement

    • Authors: Lareki, A., Altuna, J., Martínez de Morentin, J.I., Amenabar, N.
    • Journal: Children and Youth Services Review
    • Volume: 79
    • Pages: 126–131
    • Year: 2017

Muhammad Shahriar Bashar | Material science | Best Researcher Award

Dr. Muhammad Shahriar Bashar, Material science, Best Researcher Award

Doctorate at Bangladesh Council of Scientific and Industrial Research, Bangladesh

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Summary

Dr. Muhammad Shahriar Bashar is a distinguished Principal Scientific Officer at the Institute of Fuel Research and Development (IERD) within the Bangladesh Council of Scientific and Industrial Research (BCSIR). With over 18 years of expertise in Energy-Nanotechnology and Semiconductor Fabrication, he spearheads the establishment of Bangladesh’s first Thin-film Semiconductor Fabrication Research Laboratory. His pioneering work includes optimizing metal sulfide and oxide thin-film semiconductors, advancing solar cell technologies, and developing energy-efficient devices. Dr. Bashar’s contributions extend to policy formulation in renewable energy and supervising numerous research theses. His accolades include Bangladesh’s first CdTe-based solar cell and innovations in biomass energy, reflecting his commitment to sustainable development and technological advancement.

Education

  • Ph.D.: Department of Physics, Jahangirnagar University, 2022
  • M.Sc.: Applied Physics & Electronics, University of Dhaka, 1999 (First Class)
  • B.Sc. (Honors): Applied Physics & Electronics, University of Dhaka, 1998 (First Class)
  • Higher Secondary School Certificate: Government Science College, Dhaka Board, 1995 (First Division)
  • Secondary School Certificate: Motijheel Model High School, Dhaka Board, 1993 (First Division)

Professional Experience

  • Principal Scientific Officer: Bangladesh Council of Scientific and Industrial Research (BCSIR), since December 19, 2019
  • Senior Scientific Officer: BCSIR, August 04, 2011 – December 19, 2019
  • Scientific Officer: BCSIR, June 15, 2006 – August 03, 2011
  • Scientific Officer: Bangladesh Institute of Nuclear Agriculture (BINA), July 20, 2004 – June 14, 2006

Current Research Focus

Dr. Bashar is primarily engaged in pioneering research and development in the following areas:

  • Thin-film semiconductor fabrication
  • Renewable Energy Technologies
  • Solar cell fabrication
  • Energy auditing and sustainable energy management
  • Biogas digester design
  • Solar panel testing and optimization

Achievements and Contributions

Dr. Bashar has made significant contributions to the field of renewable energy and semiconductor technology, including:

  • Fabrication of 2nd and 3rd generation thin-film solar cells in Bangladesh
  • Development of highly efficient biomass-based cookstoves and biogas digesters
  • Establishment of the largest solar thermal plant and grid-connected photovoltaic power plants in Bangladesh
  • Design and development of various energy-saving devices and technologies

Skills

  • Thin-film semiconductor fabrication
  • Solar radiation measurement
  • Photovoltaics
  • Energy auditing and sustainable energy management
  • Analytical problem solving and simulation
  • Graphics design and troubleshooting

Awards and Recognitions

  • Research Award “Adamma Bangladesh” (2016) for the fabrication of CdTe based thin-film solar cells
  • Special Award from the Dean of the Faculty of Science, University of Dhaka (2001)

📖 Publication Top Noted

Article: Low energy synthesis of crystalline mesoporous aluminosilicate consisting of Na-P1 zeolite derived from coal fly ash

    • Authors: Quddus, M.S., Saha, M., Hasanuzzaman, M., Sharmin, N., Bashar, M.S.
    • Journal: Cleaner Materials
    • Volume: 12
    • Pages: 100247
    • Year: 2024

Article: Combined experimental and first principles look into (Ce, Mo) doped BiVO4

    • Authors: Mahi, T.A., Hossain, Q.S., Nishat, S.S., Irfan, A., Ahmed, I.
    • Journal: Heliyon
    • Volume: 10
    • Issue: 8
    • Pages: e29408
    • Year: 2024

Article: Amplification of photocatalytic degradation of antibiotics (amoxicillin, ciprofloxacin) by sodium doping in nano-crystallite hydroxyapatite

    • Authors: Tarannum, S., Sahadat Hossain, M., Bashar, M.S., Bahadur, N.M., Ahmed, S.
    • Journal: RSC Advances
    • Volume: 14
    • Issue: 18
    • Pages: 12386–12396
    • Year: 2024

Article: Enhancing perovskite solar cell performance: Investigating the impact of post-annealing on the optoelectrical and structural properties of RF-sputtered NiO films via SCAPS-1D device modeling

    • Authors: Abdur, R., Choudhury, S., Bashar, M.S., Hossain, M., Shah Jamal, M.
    • Journal: Solar Energy
    • Volume: 271
    • Pages: 112443
    • Year: 2024

Santos Kumar Das | Internet of Things | Excellence in Innovation

Dr. Santos Kumar Das, Internet of Things , Excellence in Innovation

Doctorate at National Institite of Technology Rourkela, India

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🌟Summary

Dr. Santos Kumar Das is an Associate Professor at the Department of Electronics & Communication Engineering, National Institute of Technology Rourkela, India. He holds a PhD in Communication Network from NIT Rourkela, and his research interests span AI, IoT, Sensor Networking, and Optical Networking (including LiFi, FSO, SDN). With a robust academic background and extensive professional experience both in academia and industry, Dr. Das has contributed significantly to research, education, and professional service in his field.

🎓 Education

  • PhD: Communication Network, NIT Rourkela, India, 2014
  • M.S: Electrical Communication Engineering, IISc Bangalore, India, 2002
  • B.E: Electronics and Communication, VSSUT (Formerly UCE), Burla, India, 1998

💼 Professional Experience

Dr. Santos Kumar Das brings a wealth of diverse professional experience spanning both industry and academia. He began his career as a Research Engineer at A-Star Singapore, contributing to research and development initiatives in collaboration with prominent institutions. His subsequent roles as a Software Integration Engineer at Motorola Electronics Pvt. Ltd. and as a Senior Software Engineer at companies like Palvision and ITXpress/Xpress Distribution in Singapore provided him with extensive expertise in software development and integration within dynamic technological environments.

Transitioning to academia, Dr. Das served as a Lecturer at VSSUT Burla before joining the National Institute of Technology Rourkela (NIT Rourkela), where he currently holds the position of Associate Professor. At NIT Rourkela, he has significantly contributed to the field of Electronics & Communication Engineering, supervising numerous PhD, M.Tech, and B.Tech students. His academic leadership also includes roles such as Lab In-Charge and Faculty Advisor, where he has overseen various research and educational initiatives.

Dr. Das’s professional journey is marked by a strong commitment to research and innovation, evident through his prolific publication record and involvement in prestigious conferences and workshops globally. His multifaceted experience blends seamlessly with his research interests in AI, IoT, Sensor Networking, and Optical Networking, positioning him as a respected figure in the field.

🔬 Research Interests

Dr. Santos Kumar Das is deeply engaged in research at the intersection of cutting-edge technologies in the fields of Artificial Intelligence (AI), Internet of Things (IoT), Sensor Networking, and Optical Networking. His research endeavors encompass a wide spectrum of applications and theoretical advancements, focusing particularly on AI-driven solutions for complex systems, IoT-enabled smart environments, and innovative sensor networking protocols. Dr. Das also explores Optical Networking technologies such as LiFi (Light Fidelity), Free Space Optics (FSO), and Software-Defined Networking (SDN), aiming to enhance data transmission efficiency, security, and scalability in next-generation communication networks. With a robust academic background and extensive practical experience, he continues to lead pioneering research efforts that bridge fundamental research with practical applications, contributing significantly to the advancement of these transformative technologies.

📖 Publication Top Noted

Article: Swin transformer based vehicle detection in undisciplined traffic environment

  • Authors: Prashant Deshmukh, GSR Satyanarayana, Sudhan Majhi, Upendra Kumar Sahoo, Santos Kumar Das

  • Journal: Expert Systems with Applications

  • Year: 2023

  • Citation: 25

Article: Vehicle detection and classification with spatio-temporal information obtained from CNN

  • Authors: GSR Satyanarayana, Prashant Deshmukh, Santos Kumar Das

  • Journal: Displays

  • Year: 2022

  • Citation: 14

Article: Performance analysis of ACO-OFDM NOMA for VLC communication

  • Authors: Jayashree Pradhan, Pratiksha Holey, Vinod Kiran Kappala, Santos Kumar Das

  • Journal: Optical and Quantum Electronics

  • Year: 2022

  • Citation: 14

Article: An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach

  • Authors: K Krishna Rani Samal, Ankit Kumar Panda, Korra Sathya Babu, Santos Kumar Das

  • Journal: Sustainable Cities and Society

  • Year: 2021

  • Citation: 40

Article: Temporal convolutional denoising autoencoder network for air pollution prediction with missing values

  • Authors: K Krishna Rani Samal, Korra Sathya Babu, Santos Kumar Das

  • Journal: Urban Climate

  • Year: 2021

  • Citation: 39

Zhengyi FU | Structural Engineering | Best Researcher Award

Mr. Zhengyi FU, Structural Engineering, Best Researcher Award

Mr. Zhengyi FU at city university of Hong Kong, Hong Kong

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🌟Summary

Fu Zhengyi is a dedicated researcher in the field of structural engineering, currently pursuing his Ph.D. at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. With a strong academic background including a Master’s from Central South University and a Bachelor’s from Nanchang University, his research focuses on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. Fu Zhengyi’s work, highlighted by publications in renowned journals and participation in significant research projects, aims to innovate methodologies that enhance the reliability and efficiency of structural assessment practices. His career aspirations include contributing to the advancement of structural health monitoring technologies to ensure the resilience and safety of civil infrastructure.

🎓 Education

Fu Zhengyi completed his Ph.D. in Structural Engineering at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. Prior to this, he obtained a Master’s degree from Central South University and a Bachelor’s degree from Nanchang University. His academic journey has been marked by a strong foundation in engineering principles and a specialization in structural dynamics and modal analysis. Throughout his education, Fu Zhengyi has demonstrated a commitment to excellence, earning distinctions such as a National Scholarship during his Master’s studies and multiple scholarships for outstanding academic performance during his Bachelor’s degree. His research interests include modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in enhancing structural assessment methodologies.

💼 Professional Experience

Fu Zhengyi has accumulated extensive experience in the field of structural engineering, focusing primarily on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. His research has been published in reputable journals such as Engineering Structures and Mechanical Systems & Signal Processing. During his doctoral studies at City University of Hong Kong, under the guidance of Prof. Lam Heung Fai, Fu Zhengyi developed expertise in dynamic response reconstruction methodologies and Bayesian modal analysis. His contributions extend to practical applications, including participation in research projects such as the topographic wind parameter test of Nujiang Bridge and the excitation and vibration measurement experiment on Hongyan Village Bridge. Fu Zhengyi’s professional journey underscores a commitment to advancing the understanding and management of structural behavior through innovative research and practical experimentation.

🔬 Research Interests

Fu Zhengyi’s research interests span a diverse array of topics within structural engineering, with a particular emphasis on modal identification, modal updating, damage detection, response reconstruction, and the integration of artificial intelligence techniques. His work aims to advance the understanding and application of modal analysis methods to enhance the reliability and efficiency of structural assessment and maintenance practices. Fu Zhengyi is particularly passionate about developing innovative approaches that leverage Bayesian methodologies for modal analysis and exploring the potential of artificial intelligence algorithms to optimize response reconstruction and damage detection processes. His research contributions aim to address current challenges in structural health monitoring and contribute to the resilience and longevity of civil infrastructure.

📖 Publication Top Noted

Article: A response reconstruction method based on empirical mode decomposition and modal synthesis method

  • Authors: Jinsong Yang, Zhengyi Fu, Yunfeng Zou, Xuhui He, Xiaojun Wei, Tiantian Wang

  • Journal: Mechanical Systems and Signal Processing

  • Year: 2023

  • Citation: 16

Article: An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition

  • Authors: Zheng Yi Fu, Mujib Olamide Adeagbo, Heung Fai Lam

  • Journal: International Journal of Structural Stability and Dynamics

  • Year: 2023

  • Citation: 3

Article: Dynamic Response Reconstruction Method Based on Empirical Mode Decomposition and Model Condensation

  • Authors: ZOU Yun-feng, FU Zheng-yi, HE Xu-hui, LU Xuan-dong, YANG Jin-song, ZHOU Shuai

  • Year: 2021

  • Citation: 3

Article: Time-domain structural model updating following the Bayesian approach in the absence of system input information

  • Authors: Heung Fai Lam, Fu Zheng Yi, Mujib Olamide Adeagbo, Jia Hua Yang

  • Journal: Engineering structures

  • Year: 2024

Article: A new time-domain dynamic response reconstruction method based on model condensation

  • Authors: ZY FU, HF LAM

  • Journal: The 26th Annual Conference of HKSTAM 2023 The 18th Shanghai–Hong Kong Forum on Mechanics and Its Application

  • Year: 2023

Md Shahidul Islam | Infectious Disease Modeling | Best Researcher Award

Mr. Md Shahidul Islam, Infectious Disease Modeling, Best Researcher Award

Mr. Md Shahidul Islam at Green University Of Bangladesh, Bangladesh

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🌟Summary:

MD Shahidul Islam is a dedicated educator and researcher in Computational Science, currently pursuing a Ph.D. at the University of Tennessee, Chattanooga. His expertise spans evolutionary game theory, computational biology, and machine learning, focusing on applications in epidemiology and complex networks.

🎓 Education:

  • Ph.D. in Computational Science (Fall 2024) University of Tennessee, Chattanooga, USA
  • M.Sc. in Mathematics (2019-2020) Shahjalal University of Science and Technology, Bangladesh
  • B.Sc. in Mathematics (2015-2019) Shahjalal University of Science and Technology, Bangladesh

💼 Professional Experience:

MD Shahidul Islam currently serves as a Lecturer in the Department of Computer Science and Engineering at Green University of Bangladesh, Dhaka. His role involves both teaching and research, where he instructs courses such as Calculus, Differential Equations, Statistics, and Complex Variables. His research is centered on evolutionary game theory and computational biology, with specific interests in epidemiology, optimal control, cancer biology, and neuroscience. He is actively involved in exploring the dynamics of complex social networks and applying machine learning techniques in his research endeavors.

🔬 Research Interests:

MD Shahidul Islam’s research interests span across several interdisciplinary domains in Computational Science. He is particularly fascinated by evolutionary game theory, exploring how strategic interactions evolve in complex networks. His work in computational biology delves into epidemiology, where he investigates the impact of disease dynamics and immunization strategies on network resilience during epidemics. Additionally, he applies mathematical models to understand cancer biology and neuroscience, aiming to optimize treatment strategies. His expertise also extends to complex social networks, where he studies the dynamics and emergent behaviors influenced by network structures. In parallel, he employs machine learning and deep learning techniques to enhance predictive modeling in biological and social contexts.

his paragraph succinctly covers MD Shahidul Islam’s diverse research interests, showcasing his multidisciplinary approach within Computational Science, including evolutionary game theory, computational biology (with a focus on epidemiology and cancer biology), complex social networks, and machine learning applications.

📖 Publication Top Noted

Article: Mathematical Analysis and Prediction of Future Outbreak of Dengue on Time-Varying Contact Rate Using Machine Learning Approach

  • Authors: Md Shahidul Islam, Pabel Shahrear, Goutam Saha, Md Ataullah, M. Shahidur Rahman
  • Journal: Computers in Biology and Medicine
  • Volume: 135
  • Pages: 108707
  • Year: 2024

Article: Understanding the Impact of Vaccination and Self-Defense Measures on Epidemic Dynamics Using an Embedded Optimization and Evolutionary Game Theory Methodology

  • Authors: K. M. Ariful Kabir, MD Shahidul Islam, Mohammad Sharif Ullah
  • Journal: Vaccines
  • Volume: 11
  • Issue: 9
  • Pages: 1421
  • Year: 2023

Md. Torequl Islam | Healthcare Data Analysis | Best Researcher Award

Dr. Md. Torequl Islam, Healthcare Data Analysis, Best Researcher Award

Doctorate at Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh

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🌟Summary:

Md. Torequl Islam, PhD, is an accomplished researcher and educator specializing in pharmaceutical sciences and biotechnology. He holds a Doctorate in Biotechnology from Federal University of Piaui, Brazil, with expertise in oxidative stress, nanoemulsion characterization, and toxicology. Currently, he serves as an Associate Professor at BSMRSTU, Bangladesh, conducting neurobiological research on natural compounds.

🎓 Education:

  • PhD in Biotechnology, Federal University of Piaui, Brazil (2017)
  • M.Pharm., Southern University Bangladesh (2014)
  • B.Pharm., Khulna University, Bangladesh (2010)

💼 Professional Experience:

  • Postdoctoral Fellow, Pharmacy Discipline, Khulna University, Bangladesh (2024 – Present)
  • Associate Professor, Department of Pharmacy, BSMRSTU, Bangladesh (2023 – Present)
  • Assistant Professor, Department of Pharmacy, BSMRSTU, Bangladesh (2019 – 2023)
  • Lecturer, Department of Pharmacy, BSMRSTU, Bangladesh (2018)
  • Lecturer, Department of Pharmacy, Southern University Bangladesh (2008 – 2014)
  • Postdoctoral Research, Federal University of Piaui, Brazil (2017 – 2018)
  • Part-time Researcher, Ton Duc Thang University, Vietnam (2018 – 2021)

🔬 Research Interests:

Dr. Md. Torequl Islam’s research interests encompass a diverse spectrum within pharmaceutical sciences and biotechnology, focusing on neurobiological studies of natural compounds, nanoemulsion technology, toxicology, and risk assessment. He is actively involved in exploring the therapeutic potential of bioactive substances through interdisciplinary approaches, aiming to advance scientific understanding and contribute innovative solutions to global health challenges. His work integrates cutting-edge methodologies to investigate the pharmacological properties and safety profiles of novel compounds, fostering collaborations across international research networks for impactful scientific outcomes.

📖 Publication Top Noted

Article: Nanoparticles as antimicrobial and antiviral agents: A literature-based perspective study

  • Authors: Shabnam Sharmin, Md Mizanur Rahaman, Chandan Sarkar, Olubunmi Atolani, Mohammad Torequl Islam, Oluyomi Stephen Adeyemi
  • Journal: Heliyon
  • Year: 2021
  • Citation: 172

Article: Targeting cancer cells with nanotherapeutics and nanodiagnostics: Current status and future perspectives

  • Authors: Eunus S Ali, Shazid Md Sharker, Muhammad Torequl Islam, Ishaq N Khan, Subrata Shaw, Md Atiqur Rahman, Shaikh Jamal Uddin, Manik Chandra Shill, Shahnawaz Rehman, Niranjan Das, Saheem Ahmad, Jamil A Shilpi, Swati Tripathi, Siddhartha Kumar Mishra, Mohammad S Mubarak
  • Journal: Seminars in cancer biology
  • Year: 2021
  • Citation: 179

Article: Natural products and their derivatives against coronavirus: A review of the non-clinical and pre-clinical data

  • Authors: Mubarak MS Islam MT, Sarkar C, El-Kersh DM, Jamaddar S, Uddin SJ, Shilpi JA
  • Journal: Phytotherapy Research
  • Year: 2020
  • Citation: 262

Article: Anti-viral potential of garlic (Allium sativum) and it’s organosulfur compounds: A Systematic update of pre-clinical and clinical data

  • Authors: Sarker SD Rouf R, Sarker DK, Islam MT, Ali ES, Shilpi JA, Nahar L, Tiralongo E
  • Journal: Trends in Food Science and Technology
  • Year: 2020
  • Citation: 246

Article: Neuropharmacological effects of quercetin: a literature-based review

  • Authors: Md Shahazul Islam, Cristina Quispe, Rajib Hossain, Muhammad Torequl Islam, Ahmed Al-Harrasi, Ahmed Al-Rawahi, Miquel Martorell, Assem Mamurova, Ainur Seilkhan, Nazgul Altybaeva, Bagila Abdullayeva, Anca Oana Docea, Daniela Calina, Javad Sharifi-Rad
  • Journal: Frontiers in pharmacology
  • Year: 2021
  • Citation: 106

Flavia Medeiros Savi | Regenerative Medicine | Best Researcher Award

Dr. Flavia Medeiros Savi, Regenerative Medicine, Best Researcher Award

Doctorate at Queensland University of Technology, Australia

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Dr. Flávia Medeiros Savi 🧬

Dr. Flávia Medeiros Savi is a distinguished researcher at Queensland University of Technology (QUT), affiliated with the Faculty of Engineering in the Regenerative Medicine group. Her expertise spans the intricate domains of biomedical engineering and medical physics, with a primary focus on advancing tissue regeneration through innovative 3D printed implants.

🎓 Education and Academic Background

Dr. Savi earned her PhD in Biomedical Engineering and Medical Physics from QUT, Australia, where she also completed her Bachelor’s Degree in Biological Science at UNISUL, Brazil.

🔬 Research Focus and Contributions

As an NHMRC Postdoctoral Research Fellow at QUT, Dr. Savi pioneers the characterization and evaluation of 3D printed implants, particularly in treating segmental bone defects and facilitating breast reconstruction in large animal models. Her research integrates cutting-edge methodologies such as histological, immunohistochemical, and microscopic analyses to elucidate the complexities of bone tissue engineering.

🏆 Accolades and Awards

Dr. Savi’s contributions have been recognized globally, including prestigious awards like the QUT Science in Focus Image Competition Research Choice award for her work titled “Bone Jungle.” She has been instrumental in securing significant research grants, such as the Australia-Germany Joint research cooperation scheme and various QUT ECR Seed Grants.

🌍 International Collaborations

Her collaborative efforts extend internationally, evidenced by her tenure as a Chief Investigator at the Max Planck Queensland Centre for the Materials Science of Extracellular Matrices in Brisbane, Australia, and her postdoctoral research stint at the Max Planck Institute of Colloids and Interfaces in Golm, Germany.

🔍 Skills and Expertise

She possesses exceptional skills in advanced computational methods for quantitative analysis of 3D printed implants, along with expertise in biocompatibility testing and histological evaluation techniques critical for tissue engineering advancements.

🏅 Professional Affiliations

Dr. Savi maintains active involvement in professional societies and consortia, contributing significantly to the interdisciplinary dialogue on tissue morphogenesis and biomaterials.

📖 Publication Top Noted

Article: Convergence of scaffold-guided bone regeneration principles and microvascular tissue transfer surgery
  • Authors: David S Sparks, Flavia M Savi, Constantin E Dlaska, Siamak Saifzadeh, Gary Brierly, Edward Ren, Amaia Cipitria, Johannes C Reichert, Marie-Luise Wille, Michael A Schuetz, Nicola Ward, Michael Wagels, Dietmar W Hutmacher
  • Journal: Science advances
  • Year: 2023
  • Citation: 7
Article: Histological and Immunohistochemical Characterization of Osteoimmunological Processes in Scaffold-Guided Bone Regeneration in an Ovine Large Segmental Defect Model
  • Authors: Ronja Finze, Markus Laubach, Mairim Russo Serafini, Ulrich Kneser, Flavia Medeiros Savi
  • Journal: Biomedicines
  • Year: 2023
  • Citation: 4
Article: In vivo characterization of 3D-printed polycaprolactone-hydroxyapatite scaffolds with Voronoi design to advance the concept of scaffold-guided bone regeneration
  • Authors: Markus Laubach, Buddhi Herath, Nathalie Bock, Sinduja Suresh, Siamak Saifzadeh, Bronwin L Dargaville, Jacqui McGovern, Marie-Luise Wille, Dietmar W Hutmacher, Flavia Medeiros Savi
  • Journal: Frontiers in Bioengineering and Biotechnology
  • Year: 2023
  • Citation: 4
Article: Protocol for the BONE-RECON trial: A single-arm feasibility trial for critical sized lower limb BONE defect RECONstruction using the mPCL-TCP scaffold system with autologous …
  • Authors: David S Sparks, Jay Wiper, Thomas Lloyd, Marie-Luise Wille, Marjoree Sehu, Flavia M Savi, Nicola Ward, Dietmar W Hutmacher, Michael Wagels
  • Journal: BMJ open
  • Year: 2023
  • Citation: 4
Article: Bone regeneration exploiting corticoperiosteal tissue transfer for scaffold-guided bone regeneration
  • Authors: David S Sparks, Flavia Medeiros Savi, Siamak Saifzadeh, Marie-Luise Wille, Michael Wagels, Dietmar W Hutmacher
  • Journal: Tissue Engineering Part C: Methods
  • Year: 2022
  • Citation: 9