Samprit Banerjee | Data Cleaning | Excellence in Research

Assoc Prof Dr. Samprit Banerjee | Data Cleaning | Excellence in Research

Weill Medical College of Cornell University | United States

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๐Ÿ“ Current Academic Appointment

Dr. Samprit Banerjee is currently an Associate Professor in the Division of Biostatistics at Weill Medical College, Cornell University since January 2020. In May 2023, he also became an Associate Professor of Biostatistics in the Department of Psychiatry at the same institution.

๐Ÿ“ Articles in Preparation

Dr. Banerjee is preparing several significant research articles, including one on predicting adherence to psychotherapy homework using mHealth data. Another focuses on a functional data analysis framework for analyzing mobile health data, while a third article explores clustering functional data with applications to mHealth data.

๐Ÿฉบ Extramural Professional Activities

Dr. Banerjee has contributed to multiple FDA advisory panels, including the Neurological Devices Panel in 2023 and the Patient Engagement Advisory Committee in 2021. He is also a standing member of the Effectiveness of Mental Health Interventions (EMHI) Study Section of NIMH from 2022-2025 and has been involved in scientific review groups for NIMH.

๐Ÿ‘จโ€๐Ÿซ Past Positions Held

Dr. Banerjee served as the Founding Director of the PhD Program in Population Health Sciences at Weill Cornell from 2020-2024. Additionally, he was the Founding Director of the MS Program in Biostatistics & Data Science from 2016 to 2020.

๐ŸŽ“ Educational Background

Dr. Banerjee holds a Ph.D. in Biostatistics from the University of Alabama at Birmingham (2008), following his M.Stat and B.Stat degrees from the Indian Statistical Institute in Kolkata, India.

๐Ÿง‘โ€๐Ÿซ Teaching & Mentorship

Dr. Banerjee is actively involved in teaching, including directing courses like Big Data in Medicine for the MS program in Biostatistics. He mentors post-doctoral associates and junior researchers, including Younghoon Kim, PhD, and Soohyun Kim, PhD, in areas of mHealth data modeling and deep learning in psychiatry.

๐Ÿ“‘ Administrative Activities On Data Cleaning

Dr. Banerjee contributes to Weill Cornell Medical Collegeโ€™s PhD Directorโ€™s Committee and co-chairs the Diversity, Equity, and Inclusion sub-committee of the General Faculty Council.

๐Ÿ›ก๏ธ Special Government Employment

Since 2014, Dr. Banerjee has served as a Special Government Employee at the FDA’s Center for Devices and Radiological Health (CDRH).

๐Ÿ“Š Professional Affiliations

Dr. Banerjee is an elected Council of Sections Representative for the Mental Health Statistics Section of the American Statistical Association (ASA).

๐Ÿ“‘ Notable Publicationsย 

Examining Healthy Lifestyles as a Mediator of the Association Between Socially Determined Vulnerabilities and Incident Heart Failure
    • Authors: Nickpreet Singh, Chanel Jonas, Laura C. Pinheiro, Jennifer D. Lau, Jinhong Cui, Leann Long, Samprit Banerjee, Raegan W. Durant, Madeline R. Sterling, James M. Shikany et al.
    • Journal: Circulation: Cardiovascular Quality and Outcomes
    • Year: 2025
Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth
    • Authors: Wenna Xi, Samprit Banerjee, Bonnie T. Zima, George S. Alexopoulos, Mark Olfson, Yunyu Xiao, Jyotishman Pathak
    • Journal: JAACAP Open
    • Year: 2023
Relation of a Simple Cardiac Co-Morbidity Count and Cardiovascular Readmission After a Heart Failure Hospitalization
    • Authors: Aayush Visaria, Lauren Balkan, Laura C. Pinheiro, Joanna Bryan, Samprit Banerjee, Madeline R. Sterling, Udhay Krishnan, Evelyn M. Horn, Monika M. Safford, Parag Goyal
    • Journal: The American Journal of Cardiology
    • Year: 2020
Examining Timeliness of Total Knee Replacement Among Patients with Knee Osteoarthritis in the U.S.
    • Authors: H.M.K. Ghomrawi, A.I. Mushlin, R. Kang, S. Banerjee, J.A. Singh, L. Sharma, C. Flink, M. Nevitt, T. Neogi, D.L. Riddle
    • Journal: Journal of Bone and Joint Surgery
    • Year: 2020
Race and prostate imaging: implications for targeted biopsy and image-based prostate cancer interventions
    • Authors: Michael D Gross, Bashir Al Hussein Al Awamlh, Jonathan E Shoag, Elizabeth Mauer, Samprit Banerjee, Daniel J Margolis, Juan M Mosquera, Ann S Hamilton, Maria J Schumura, Jim C Hu
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019
Long-term active surveillance of implantable medical devices: an analysis of factors determining whether current registries are adequate to expose safety and efficacy problems
    • Authors: Samprit Banerjee, Bruce Campbell, Josh Rising, Allan Coukell, Art Sedrakyan
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019

Isaac Elishakoff | Data-informed Decision Making | Best Researcher Award

Prof. Isaac Elishakoff l Data-informed Decision Makingย | Best Researcher Award

Florida Atlantic University, United States

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Early Academic Pursuits ๐ŸŽ“

Prof. Isaac Elishakoff’s academic journey began in his birthplace, Kutaisi, Republic of Georgia. He attended the prestigious Sukhumi First Georgian School named after Shota Rustaveli (1951-1962). He later earned his BSc and MSc degrees in 1968 from the Department of Dynamics and Strength of Machines at Moscow Power Engineering Institute and State University, Russia. His academic journey culminated in a PhD in 1971, where he worked under the mentorship of Academician V. V. Bolotin, a key figure in the field of dynamics and strength of materials.

Professional Endeavors ๐ŸŒ

Prof. Elishakoff’s professional trajectory includes distinguished positions and international collaborations. Since 1989, he has been a Professor in the Department of Ocean & Mechanical Engineering at Florida Atlantic University. He has held honorific appointments at renowned institutions, such as the Visiting Distinguished Fellow at the University of Southampton and the Theodore von Kรกrmรกn Fellow at RWTH-Aachen University. His recognition as a Fellow of the Royal Academy of Engineering in 2021 is a testament to his exceptional contributions to engineering research and education.

Contributions and Research Focus ๐Ÿ”ฌ

Prof. Elishakoffโ€™s research primarily focuses on applied mechanics, structural reliability, and the optimization of mechanical systems. His groundbreaking work spans from bio-inspired optimization to structural flexibility for aquatic propulsion, to contributions in uncertainty quantification and optimization methods. As a Co-PI in NSF-funded projects, he has actively participated in large-scale research efforts aimed at improving design processes in engineering education and innovation. His work on engineering optimization and structural reliability has had a significant impact on the development of modern mechanical systems, particularly in uncertain environments.

Impact and Influence ๐ŸŒ

Prof. Elishakoffโ€™s work has left an indelible mark on the field of mechanical engineering. His contributions to the theory of machine design, structural analysis, and vibration mechanics have been transformative. Through his numerous articles, including collaborations with global scholars, he has significantly advanced our understanding of system dynamics, optimization, and reliability in engineering applications. His academic influence extends beyond research, as his teaching methodologies foster active student engagement and practical problem-solving skills.

Academic Cites ๐Ÿ“š

Prof. Elishakoffโ€™s research has been cited extensively, solidifying his position as a leading figure in applied mechanics. His published articles, especially in journals like the International Journal of Mechanical Engineering Education and the Journal of Mechanical Engineering Education, demonstrate the impact of his work on shaping educational methodologies and the application of engineering principles. His extensive citation history is a testament to the high regard in which he is held by his peers in academia and industry alike.

Technical Skills ๐Ÿ› ๏ธ

Prof. Elishakoff is highly skilled in various areas of mechanical engineering, including system dynamics, mechanical vibrations, and structural analysis. His expertise in the optimization of engineering systems, particularly in the context of uncertainty and bio-inspired solutions, has positioned him as a thought leader in applied mechanics. Additionally, his contributions to machine design, vibration of beams, and columns have enriched the teaching and research landscape of engineering disciplines.

Teaching Experience ๐Ÿ“š

Prof. Elishakoffโ€™s commitment to education is evident in his role as an educator at Florida Atlantic University, where he teaches courses such as Machine Design, Mechanical Vibrations, and System Dynamics. His approach to teaching emphasizes individualized learning experiences, providing each student with personalized projects to foster engagement and critical thinking. He also promotes student success through flexible testing opportunities, resulting in minimal failure rates in his courses. Prof. Elishakoff has written numerous educational articles aimed at improving teaching practices, further illustrating his dedication to advancing engineering education.

Legacy and Future Contributions ๐Ÿ”ฎ

Prof. Elishakoffโ€™s legacy as a scholar and educator is profound. He has influenced generations of students and professionals, leaving behind a body of research that continues to inform the field of mechanical engineering. His ongoing contributions, such as his involvement in NSF-funded projects and his role in the development of cutting-edge technologies, will shape the future of engineering education and practice. As he continues to collaborate with global institutions and mentor future scholars, his work will undoubtedly continue to drive innovation in engineering research and design.

Prizes and Honors ๐Ÿ†

Prof. Elishakoffโ€™s excellence in both research and teaching has been recognized globally. Notable honors include the William B. Johnson Inter-Professional Founders Award for his lifetime achievements in applied mechanics, the Blaise Pascal Medal from the European Academy of Sciences in 2021, and the Theodore von Kรกrmรกn Fellowship at the University of Aachen in 2024. These accolades underscore the breadth of his influence and the respect he commands within the international engineering community.

Administrative and Leadership Roles ๐Ÿ“‹

Prof. Elishakoff has also made significant contributions in administrative roles within the academic community. His leadership positions include membership on various university committees, such as the University Committee on Statistics and the Departmental Personnel Committee. Through these roles, he has played an integral part in shaping the policies and development of academic and research programs at Florida Atlantic University.

International Conferences ๐ŸŒ

Prof. Elishakoff has been a key speaker at numerous international conferences, where he has shared his expertise and research findings. Notable appearances include plenary lectures at the UNCECOMP 2019 in Greece and keynote addresses at COMPDYN 2019 in Greece, where he discussed the latest advancements in structural dynamics and nanotechnology. His presence at such events highlights his status as a leading expert in his field, and his contributions continue to influence the global engineering community.

Top Noted Publications ๐Ÿ“–

How accurate are the reliability assessments conducted by the finite element method?

Authors: Santoro, R., Elishakoff, I.
Journal: Archive of Applied Mechanics
Year: 2025, 95(1), 9

Extension of dual equivalent linearization to analysis of deterministic dynamic systems: Part 2โ€”multi-parameter equivalent linearization

Authors: Linh, N.N., Anh, N.T., Thang, N.C., Anh, N.D., Elishakoff, I.
Journal: Nonlinear Dynamics
Year: 2024, 112(20), pp. 18001โ€“18030

Multifaceted Uncertainty Quantification

Author: Elishakoff, I.
Publisher: Multifaceted Uncertainty Quantification
Year: 2024, pp. 1โ€“368

The history and the current state of the art related to structures under stress and corrosion

Authors: Fridman, M.M., Elishakoff, I., Ribakov, Y.
Journal: Mechanics Research Communications
Year: 2024, 140, 104320

Additional Natural Frequency of the Beam Carrying a Spring-Mass System: Lost and Found

Authors: Zawadzki, M., Elishakoff, I.
Journal: Journal of Computational and Nonlinear Dynamics
Year: 2024, 19(9)

An interesting project in the โ€œstrength of materialsโ€ or โ€œmachine designโ€ courses

Authors: Elishakoff, I., Eisenberger, M., Mercer, A.
Journal: Optimization and Engineering
Year: 2024, 25(3), pp. 1559โ€“1570

Guangyi Liu | Optimization Techniques | Best Innovation Award

Dr. Guangyi Liu | Optimization Techniques | Best Innovation Award

China Mobile Research Institute, China

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Early Academic Pursuits ๐Ÿ“š

Dr. Guangyi Liu began his academic journey with a strong foundation in telecommunications and wireless technology. His passion for advanced communication systems led him to pursue higher education and research in the field. He earned a deep understanding of network engineering, which provided the base for his later contributions to 4G, 5G, and 6G technologies. His early academic pursuits were instrumental in shaping his expertise in the future of mobile communications, laying the groundwork for his later professional endeavors and contributions to global standardization.

Professional Endeavors ๐Ÿ’ผ

Dr. Liu’s professional journey spans over two decades, during which he has held key leadership roles in China Mobile Communication Corporation (CMCC). Since 2018, he has been spearheading the 6G research and development efforts for CMCC, demonstrating his commitment to the next generation of wireless technology. He has also contributed significantly to the global telecommunications industry, as evident from his roles as the co-chair of the 6G Alliance of Network AI (6GANA), a board member of the Next Generation Mobile Networks (NGMN) alliance, and vice chair of the THz Industry Alliance in China. His expertise in leading large-scale industrialization projects, particularly in 4G and 5G technologies, has had a profound impact on the wireless technology landscape.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Liu’s contributions to telecommunications are wide-ranging, from research and standardization to industrialization and commercialization of advanced mobile technologies. His primary research focus includes 6G network development, spectrum management, wireless communication systems, and AI integration into mobile networks. Dr. Liu’s work in the evolution of TD-LTE and the industrialization of 5G technologies has been particularly groundbreaking. Under his leadership, CMCC has made significant strides in the global standardization of 5G eMBB and the global adoption of TD-LTE. His contributions have influenced the development of cutting-edge technologies that are shaping the future of communication.

Impact and Influence ๐ŸŒ

Dr. Liu’s impact on the telecommunications sector is immense. He has played a pivotal role in the research, standardization, and global deployment of critical mobile communication technologies. His leadership in the industrialization of 4G, 5G, and now 6G has not only advanced technology but also driven global collaborations between telecommunications companies, governments, and standardization bodies. As a key figure in the global 6G initiative, his work continues to influence the strategic direction of mobile communication technologies, ensuring the future of connectivity is faster, more efficient, and seamlessly integrated with artificial intelligence.

Academic Citations ๐Ÿ“‘

With over 200 published papers and more than 500 patents, Dr. Liu is a highly respected thought leader in the field of telecommunications. His research contributions have been widely cited by academics, engineers, and industry leaders, highlighting the significant impact of his work on both theoretical advancements and practical applications in mobile networks. His technical expertise and pioneering research continue to be a valuable resource for those studying and developing the next generation of communication technologies.

Technical Skills ๐Ÿ› ๏ธ

Dr. Liuโ€™s technical expertise spans a broad array of fields, including wireless communications, mobile network architecture, spectrum management, and advanced technologies such as AI and THz communication. His deep knowledge of network standardization, along with his hands-on experience in the implementation of mobile technologies, has made him an industry leader. His skills in driving large-scale R&D projects and influencing global mobile network strategies have positioned him as a trusted expert in the field of next-generation wireless technologies.

Teaching Experience ๐Ÿ‘จโ€๐Ÿซ

his professional contributions, Dr. Liu has also shared his knowledge and expertise with the next generation of engineers and researchers. Although not primarily an academic educator, his involvement in industry collaborations and standardization working groups has provided a platform for him to mentor and guide numerous professionals in the field. Through his leadership roles in various international organizations, he has contributed to the growth and development of future experts in wireless communications.

Legacy and Future Contributions ๐ŸŒŸ

Dr. Liuโ€™s legacy in the telecommunications industry is defined by his relentless pursuit of innovation and excellence. His work on 6G is positioning him as a key figure in shaping the next frontier of communication technology. As he continues to lead the research and development of 6G at CMCC, his contributions will likely serve as a cornerstone for the future of wireless connectivity. Dr. Liuโ€™s ongoing commitment to pushing the boundaries of technology and his dedication to industry collaboration will ensure that his influence on the telecommunications sector will continue for years to come.

Honors and Recognition ๐Ÿ†

Dr. Liuโ€™s contributions have not gone unnoticed, as he has received numerous accolades, including the prestigious “National Innovation Award in Science and Technology” from the Chinese government in 2016 for his global contributions to TD-LTE standardization and industrialization. Additionally, he has earned multiple “Excellent Patent Awards” from the Chinese Intellectual Property Office in 2009, 2013, and 2017, further acknowledging his groundbreaking innovations. These honors reflect the profound impact of his work on both the Chinese and global telecommunications industries.

Top Noted Publications ๐Ÿ“–

5G 3GPP-like channel models for outdoor urban microcellular and macrocellular environments

Authors: K. Haneda, J. Zhang, L. Tan, G. Liu, Y. Zheng, H. Asplund, J. Li, Y. Wang, …

Journal: IEEE 83rd Vehicular Technology Conference (VTC Spring)

Year: 2016

Vision, requirements and network architecture of 6G mobile network beyond 2030

Authors: G. Liu, Y. Huang, N. Li, J. Dong, J. Jin, Q. Wang, N. Li

Journal: China Communications

Year: 2020

LTE-advanced: an operator perspective

Authors: P. Bhat, S. Nagata, L. Campoy, I. Berberana, T. Derham, G. Liu, X. Shen, …

Journal: IEEE Communications Magazine

Year: 2012

5G: Vision and requirements for mobile communication system towards year 2020

Authors: G. Liu, D. Jiang

Journal: Chinese Journal of Engineering

Year: 2016

Communicating in the real world: 3D MIMO

Authors: X. Cheng, B. Yu, L. Yang, J. Zhang, G. Liu, Y. Wu, L. Wan

Journal: IEEE Wireless Communications

Year: 2014

Three-dimensional fading channel models: A survey of elevation angle research

Authors: J. Zhang, C. Pan, F. Pei, G. Liu, X. Cheng

Journal: IEEE Communications Magazine

Year: 2014

5G deployment: Standalone vs. non-standalone from the operator perspective

Authors: G. Liu, Y. Huang, Z. Chen, L. Liu, Q. Wang, N. Li

Journal: IEEE Communications Magazine

Year: 2020

Naiwei Lu | Data Analysis | Best Researcher Award

Assoc Prof Dr. Naiwei Lu | Data Analysis | Best Researcher Award

Changsha University of Science of Technology, China

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๐Ÿ‘จโ€๐Ÿซ Associate Prof. Dr. Naiwei Lu

Assoc. Prof. Dr. Naiwei Lu is an Associate Professor in Civil Engineering at Changsha University of Science and Technology (CSUST), China. His research primarily focuses on reliability and safety in bridge engineering. He has a strong background in system reliability evaluation, fatigue analysis, and structural health monitoring, which he applies to the engineering and maintenance of long-span bridges. Dr. Lu is an active member of various international research communities and has been involved in multiple national and international projects.

๐ŸŽ“ Education Background

Dr. Naiwei Lu earned his Ph.D. in Civil Engineering from Changsha University of Science and Technology (CSUST) in 2015, under the supervision of Prof. Yang Liu. Prior to that, he completed his Master’s degree in Civil Engineering in 2011 and his Bachelor’s degree in Bridge Engineering in 2008, all at CSUST, Changsha, China. His academic journey laid a strong foundation for his expertise in bridge engineering and reliability analysis.

๐Ÿ’ผ Employment and Research Experience

Dr. Lu’s academic career began in 2015 when he became a Postdoctoral Researcher at Southeast University in Nanjing, China, where he worked under Prof. Mohammad Noori. He also held a Postdoctoral Researcher position at Leibniz University Hannover, Germany, working with Prof. Michael Beer. Since 2020, Dr. Lu has been serving as an Associate Professor at CSUST, where he also previously worked as a Lecturer from 2017 to 2019. His diverse academic and international experiences contribute to his deep expertise in bridge engineering.

๐Ÿ’ฐ Research Funding

Dr. Lu has been the Principal Investigator (PI) of several funded research projects, including the National Science Funding in China for research on structural health monitoring of suspension bridges and the fatigue reliability evaluation of steel bridge decks. He has received significant funding support for his work in system reliability and dynamic analysis, with total funding exceeding ยฅ1 million for his various research initiatives. These projects aim to develop advanced methods for assessing the reliability and safety of long-span bridges.

๐Ÿ” Research Interests

Dr. Lu’s research spans several cutting-edge topics in structural engineering. His main research interests include system reliability evaluation of long-span bridges using intelligent algorithms ๐Ÿค–, fatigue reliability of stay cables and orthotropic steel bridge decks ๐ŸŒ‰, and probabilistic modeling using data from structural health monitoring ๐Ÿ“Š. He is also focused on intelligent maintenance and management of in-service bridges โš™๏ธ, as well as uncertainty quantification in structural engineering ๐Ÿ› ๏ธ.

๐Ÿ“š Teaching Experience

As an educator, Dr. Lu teaches undergraduate courses such as Principle of Structural Design (in both Chinese and English) and Building Information Modeling (BIM) Technology (in Chinese). He has supervised 24 undergraduate students and 4 postgraduate students between 2017 and 2020, guiding them in various aspects of civil engineering, particularly related to bridge design, maintenance, and reliability.

๐Ÿ—๏ธ Engineering Activities

In addition to his academic role, Dr. Lu is a Registered Construction Engineer and a Registered Inspection Engineer in Municipal Engineering and Bridge & Tunnel Engineering, respectively. His engineering activities include overseeing the structural safety of long-span bridges during construction ๐Ÿ—๏ธ, conducting structural health monitoring of suspension bridges ๐ŸŒ‰, and contributing to the detection and reinforcement of aging bridges ๐Ÿ› ๏ธ. He has also been involved in the advance geological forecasting and monitoring of tunnels during construction, working on over five extra-long tunnels.

Dr. Naiwei Luโ€™s work integrates advanced intelligent algorithms, data-driven methods, and structural health monitoring to enhance the safety, reliability, and longevity of bridges and infrastructure systems. His research and engineering expertise continue to make significant contributions to the field of civil engineering.

๐Ÿ“–Top Noted Publicationsย 

Structural damage diagnosis of a cable-stayed bridge based on VGG-19 networks and Markov transition field: numerical and experimental study

Authors: Naiwei Lu, Zengyifan Liu, Jian Cui, Lian Hu, Xiangyuan Xiao, Yiru Liu

Journal: Smart Materials and Structures

Year: 2025

Coupling effect of cracks and pore defects on fatigue performance of U-rib welds

Authors: Yuan Luo, Xiaofan Liu, Fanghuai Chen, Haiping Zhang, Xinhui Xiao, Naiwei Lu

Journal: Structures

Year: 2025

A Timeโ€“Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen

Authors: Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

Journal: Sensors

Year: 2024

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

Authors: Xinhui Xiao, Zepeng Wang, Haiping Zhang, Yuan Luo, Fanghuai Chen, Yang Deng, Naiwei Lu, Ying Chen

Journal: Sensors

Year: 2024

Experimental and numerical investigation on penetrating cracks growth of rib-to-deck welded connections in orthotropic steel bridge decks

Authors: Zitong Wang, Jun He, Naiwei Lu, Yang Liu, Xinfeng Yin, Haohui Xin

Journal: Structures

Year: 2024

Fatigue Reliability Assessment for Orthotropic Steel Decks: Considering Multicrack Coupling Effects

Authors: Jing Liu, Yang Liu, Guodong Wang, Naiwei Lu, Jian Cui, Honghao Wang

Journal: Metals

Year: 2024

Nianzhang Zhang | Optimization Techniques | Best Researcher Award

Assoc Prof Dr. Nianzhang Zhang | Optimization Techniques | Best Researcher Award

Lanzhou Veterinary Research Institute, China

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Early Academic Pursuits ๐ŸŽ“

Dr. Nianzhang Zhang’s academic journey began with a BSc in Veterinary Science from Qingdao Agricultural University (2004-2008), followed by an MVSc (2008-2011) and PhD (2011-2014) from the Chinese Academy of Agricultural Sciences (CAAS). His studies laid a strong foundation for his expertise in preventive veterinary science, molecular biology, and immunology, particularly in zoonotic parasitic diseases.

Professional Endeavors ๐Ÿข

ย Dr. Zhang has been a key member of the Lanzhou Veterinary Research Institute (LVRI) at the Chinese Academy of Agricultural Sciences. He began as an Assistant Professor, advancing to Associate Professor in 2018. Dr. Zhangโ€™s roles at the institute also include serving as the Deputy Director of the Science and Technology Management Office since November 2022, overseeing research initiatives and contributing to the development of new scientific strategies.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Zhangโ€™s research is focused on the molecular biology and immunology of zoonotic parasitic diseases, such as toxoplasmosis, trichinellosis, and echinococcosis. His work explores the parasite-host interactions, co-infections with parasites and viruses, and functional omics, particularly related to Toxoplasma gondii and Trichinella spiralis. Additionally, he has contributed to the epidemiology of these diseases and the development of diagnostic reagents and vaccines, marking significant progress in veterinary medicine.

Impact and Influence ๐ŸŒ

Dr. Zhang’s research has significantly influenced the field of preventive veterinary science, particularly in the fight against zoonotic parasitic diseases. His contributions have not only advanced scientific understanding but also improved diagnostic and preventive strategies, benefiting both animal health and public safety. His work continues to be pivotal in shaping veterinary practices related to parasitic infections.

Academic Cites ๐Ÿ“š

Dr. Zhangโ€™s work has been widely cited in academic journals, reflecting his influence in the fields of veterinary science, molecular biology, and immunology. His research on Toxoplasma gondii and Trichinella spiralis has garnered attention globally, contributing to the development of new approaches for tackling parasitic diseases.

Technical Skills โš™๏ธ

a robust foundation in molecular biology and immunology, Dr. Zhang possesses advanced technical skills in the fields of parasite genetics, parasite-virus interactions, and functional omics. His expertise includes advanced laboratory techniques in molecular diagnostics, the development of diagnostic reagents, and the creation of vaccines for parasitic diseases.

Teaching Experience ๐Ÿง‘โ€๐Ÿซ

As an educator, Dr. Zhang has imparted his knowledge and expertise to undergraduate and graduate students at Lanzhou Veterinary Research Institute. His role as an Assistant and Associate Professor has allowed him to mentor future researchers and veterinarians, contributing to the growth of the academic community in veterinary science and parasitology.

Legacy and Future Contributions ๐ŸŒฑ

Dr. Zhangโ€™s legacy is defined by his pioneering research in the molecular biology of zoonotic parasitic diseases, his efforts in the development of vaccines and diagnostic tools, and his ongoing contribution to the field of veterinary science. Moving forward, Dr. Zhang aims to further explore the complexities of parasite-host interactions and to develop more effective strategies for combating parasitic diseases, cementing his role as a leader in global veterinary health.

Top Noted Publications ๐Ÿ“–

The transcription factor AP2XI-2 is a key negative regulator of Toxoplasma gondii merogony
  • Authors: Wang, J.-L., Li, T.-T., Zhang, N.-Z., Elsheikha, H.M., Zhu, X.-Q.
    Journal: Nature Communications
    Year: 2024
Global profiling of protein S-palmitoylation in the second-generation merozoites of Eimeria tenella
  • Authors: Qu, Z., Li, Y., Li, W., Mi, X., Fu, B.
    Journal: Parasitology Research
    Year: 2024
Occurrence of Trichinella spiralis in farmed wild boars (Sus scrofa): An underrated risk in China
  • Authors: Zhang, N.-Z., Wang, M., Chen, W.-G., Thuy, N.T.B., Fu, B.-Q.
    Journal: Parasitology
    Year: 2024
Infection of sheep by Echinococcus multilocularis in Gansu, China: evidence from mitochondrial and nuclear DNA analysis
  • Authors: Shumuye, N.A., Li, L., Li, W.-H., Yan, H.-B., Jia, W.-Z.
    Journal: Infectious Diseases of Poverty
    Year: 2023
A Strainer-Based Platform for the Collection and Immunolabeling of Porcine Epidemic Diarrhea Virus-Infected Porcine Intestinal Organoid
  • Authors: Liu, Y., Tan, J., Zhang, N., Li, W., Fu, B.
    Journal: International Journal of Molecular Sciences
    Year: 2023