Zongbao Jiang | Cybersecurity | Best Researcher Award

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Mr. Zongbao Jiang | Cybersecurity | Best Researcher Award

Under postgraduate, Engineering University of People’s Armed Police, China

📘 Zongbao Jiang is an emerging researcher specializing in computer technology at the Engineering University of People’s Armed Police. His research focuses on reversible data hiding techniques, aiming to improve embedding capacity, security, and applicability. Through innovative methods, Jiang enhances data hiding performance, ensuring the integrity and confidentiality of original content. Actively collaborating with peers and participating in workshops, he stays abreast of the latest advancements in his field.

Profile

Scopus

 

🎓 Education:

Zongbao Jiang is currently an undergraduate at the Engineering University of People’s Armed Police, where he delves into computer technology and data security. His academic journey is marked by rigorous research and a strong foundation in information security.

💼 Experience:

Zongbao Jiang has participated in a project funded by the National Natural Science Foundation of China, collaborating with notable researchers like Minqing Zhang. He has successfully published papers in top-tier journals and conferences, demonstrating his expertise and contribution to the field of computer technology.

🔬 Research Interests:

Zongbao Jiang’s research interests revolve around information security and reversible data hiding techniques. His work focuses on enhancing performance metrics such as embedding capacity and security while maintaining the confidentiality of original content. Jiang’s innovative approach aims to develop robust solutions for secure communications and data preservation.

🏆 Awards:

Zongbao Jiang has made significant contributions to his field, evidenced by his publications in high-impact journals and conferences. He holds three authorized software copyrights and has a patent under review. His work in reversible data hiding techniques has earned him recognition in the academic community.

Publications

Reversible Data Hiding Algorithm in Encrypted Images Based on Adaptive Median Edge Detection and Matrix-Based Secret Sharing
Link to article
Reversible Data Hiding in Encrypted Images based on Classic McEliece Cryptosystem
Link to article
Reversible Data Hiding Algorithm in Encrypted Domain Based on Matrix Secret Sharing
Link to article

HaiTian Chen | Computer Science | Best Researcher Award

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Ms. HaiTian Chen | Computer Science | Best Researcher Award

College of Science, North China University of Science and Technology, China

Chen HaiTian is a dedicated researcher in the field of Cyberspace Security from China. Born in December 1998, Chen has made significant strides in federated learning, privacy preservation, and cybersecurity. His contributions span multiple peer-reviewed journals and patents, showcasing his commitment to advancing technology and safeguarding digital spaces.

Profile

ORCID

 

Education

Chen HaiTian holds a major in Cyberspace Security, demonstrating his expertise and focus in this critical area of study. His academic background has equipped him with the skills and knowledge necessary to tackle complex cybersecurity challenges and contribute to innovative solutions in the field. 🎓

Research Interests

Chen HaiTian’s research interests focus on federated learning, privacy preservation, and cybersecurity. He is particularly interested in developing robust aggregation techniques to defend against poisoning attacks in federated learning and exploring personalized fair split learning for resource-constrained Internet of Things (IoT). 🔍

Awards

Chen HaiTian has received recognition for his contributions to software development, including the Huali Academy Backstage Management System V1.0 and the DC Early Warning System V1.0. His work has been registered with computer software registration numbers, showcasing his achievements in developing innovative solutions for network management and security. 🏆

Publications

Chen, H.; Chen, X.; Peng, L. (2023). FLRAM: Robust Aggregation Technique for Defense Against Byzantine Poisoning Attacks in Federated Learning. Electronics. Cited by Electronics.

Chen, H.; Chen, X.; Peng, L. (2024). Personalized Fair Split Learning for Resource-Constrained Internet of Things. Sensors, 24, 88. Cited by Sensors.

Chen, H., Chen, X., Ma R., et al. (2024). A federated learning privacy preserving approach for remote sensing data. Computer Applications. Cited by Computer Applications.

Chen, H., Chen, X. (2023). A Robust Aggregation Technique for Poisoning Attack Defense in Federated Learning. Cited by Journal.

Xu C., Zhang S., Chen H., et al. (2024). A federated learning approach based on adaptive differential privacy and customer selection optimization. Computer Applications. Cited by Computer Applications.

Peng L., Zhang S., Chen H., et al. (2023). Clustered federated learning based on improved CFSFDP algorithm. Journal of North China University of Science and Technology (Natural Science Edition). Cited by NCUST.

Xiaohui Huang | Artificial Intelligence| Best Researcher Award

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Assoc Prof Dr. Xiaohui Huang | Artificial Intelligence| Best Researcher Award

Dean, East China jiaotong university, Japan

👨‍🏫 Dr. Xiaohui Huang is an Associate Professor at the School of Information Engineering, East China Jiaotong University. He earned his PhD from the School of Computer Science, Harbin Institute of Technology in November 2014. He has been a visiting scholar at the German Cancer Research Center and Nanyang Technological University. Dr. Huang has been leading several high-impact research projects funded by national and provincial bodies. He is an expert reviewer for various prestigious journals and a member of notable academic associations.

Profile

Scopus

 

Education

🎓 PhD in Computer Science, Harbin Institute of Technology, November 2014, German Cancer Research Center, December 2010 – October 2011, School of Computer Science and Engineering, Nanyang Technological University, November 2017 – November 2018

Experience

💼 Associate Professor, School of Information Engineering, East China Jiaotong University, January 2018 – Present
Lecturer, School of Information Engineering, East China Jiaotong University, December 2014 – December 2017
Visiting Scholar, Nuclear Medicine Research Group, German Cancer Research Center, December 2010 – October 2011
Software Engineer, Yichun Branch, China Telecom, August 2008 – February 2010

🔬 Research Interests

Deep Learning. Remote Image Analysis. Intelligent Transportation

🏆 Awards

Principal Investigator for various prestigious research projects including the National Natural Science Foundation of China and Jiangxi Province Natural Science Foundation.

 Publications

Multi-view dynamic graph convolution neural network for traffic flow prediction. Expert Systems With Applications, 2023 (SCI Zone 1 top)
Cited by: 15 articles

MAPredRNN: Multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion. Applied Intelligence, 2023 (SCI Zone 2)
Cited by: 10 articles

SS-TMNet: Spatial–Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification. Remote Sensing, 2023 (SCI Zone 2, top)
Cited by: 8 articles

Multi-mode dynamic residual graph convolution network for traffic flow prediction. Information Sciences, 2022 (SCI Zone 1 top)
Cited by: 20 articles

A time-dependent attention convolutional LSTM method for traffic flow prediction.

Qiang Li | Computer Science | Best Researcher Award

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Mr. Qiang Li | Computer Science | Best Researcher Award

Lecturer, Qingdao University, China

Dr. Li Qiang is an experienced lecturer in computer science with a PhD in Engineering. He specializes in high-performance computing and has a strong background in both teaching and research. Committed to fostering academic excellence and technological innovation, Dr. Li has been a dedicated educator and researcher at Qingdao University since 2015.

Profile

ORCID

 

Education 🎓

PhD in Engineering: University of the Chinese Academy of Sciences, Computer Network Information Center (2010-2014), Advisor: Lu Zhonghua. Master’s in Information Science and Engineering: Shandong University of Science and Technology (2007-2010), Advisor: Zhao Maoxian. Bachelor’s in Education: Qingdao University (2003-2007).

Experience 👨‍🏫

Lecturer at Qingdao University, School of Computer Science and Technology (January 2015-Present). Teaching undergraduate and graduate courses in computer science. Supervising student research projects and theses. Conducting research in high-performance computing. Published 12 research papers in journals and conferences. Granted 2 patents.

Research Interests 🔬

Dr. Li Qiang’s research interests lie in high-performance computing, particularly in the optimization and parallel implementation of numerical simulations and the development of new computational frameworks. His work focuses on enhancing computational efficiency and scalability in large-scale scientific computations.

Awards 🏆

Dr. Li Qiang has been recognized for his contributions to the field of high-performance computing through multiple publications and patents. His innovative work has led to advancements in computational methods and has garnered attention in the academic community.

Publications 📄

Optimization Research of Heterogeneous 2D-Parallel Lattice Boltzmann Method Based on Deep Computing Unit. Appl. Sci. 2024, 14, 6078.

Heterogeneous Parallel Implementation of Large-Scale Numerical Simulation of Saint-Venant Equations. Appl. Sci. 2022, 12, 5671. Cited by 6

The Study of Parallelization of SWAT Hydrology Cycle. The 32nd ACM International Conference on Supercomputing, Beijing, 2018. [Cited by 3]

A New Parallel Framework of Distributed SWAT Calibration. Journal of Arid Land, 2015, 7(1): 122-131. [Cited by 7]

Parallel Simulation of High-Dimensional American Option Pricing Based on CPU VS MIC. Concurrency and Computation: Practice and Experience, 2014, 27(5): 1110-1121. [Cited by 5]

Jihyeon Ryu | Computer Science | Best Researcher Award

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Assist Prof Dr. Jihyeon Ryu | Computer Science | Best Researcher Award

Professor, Kwangwoon University, South Korea

👩‍🏫 Jihyeon Ryu is an Assistant Professor at the School of Computer and Information Engineering, Kwangwoon University. She specializes in split learning, convolutional neural networks, and user authentication, contributing significantly to the field of computer science with her extensive research and numerous publications.

Profile

Google Scholar

 

Education

Ph.D. in Software (Integrated Master’s and Doctorate Course) from Sungkyunkwan University (Mar. 2018 – Feb. 2023), advised by Prof. Dongho Won and Prof. Hyoungshick Kim. B.S. in Mathematics and Computer Science and Engineering from Sungkyunkwan University (Mar. 2013 – Feb. 2018). Early Graduation from Sejong Science High School (Mar. 2011 – Feb. 2013).

 

Research Interests:

Split Learning. Convolutional Neural Networks. User Authentication

Awards

Family Company Workshop Lecture, Hoseo University (Feb. 2022). Invited Lecturer, Mental Women’s High School (Nov. 2021). Excellence Prize, Software Department Excellence Research Awards (Feb. 2021). Graduate Merit Scholarship, Sungkyunkwan University (Mar. 2018 – Feb. 2021). SimSan Scholarship, Multiple instances (Mar. 2018 – Sep. 2020). Excellence Award, 국가 암호기술 전문인력 양성과정 (Nov. 2019). Grand Prize, Software Department Excellence Research Awards (Feb. 2019). Samsung Science Scholarship (Mar. 2013 – Feb. 2018)

Publications

Lightweight Hash-Based Authentication Protocol for Smart Grids. Sensors, 2024. Sangjin Kook, Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain. IEEE ACCESS, 2024. Taewoong Kang, Naryun Woo, Jihyeon Ryu.

Secure and Anonymous Authentication Scheme for Mobile Edge Computing Environments. IEEE Internet of Things Journal, 2024. Hakjun Lee, Jihyeon Ryu, Dongho Won.

Distributed and Federated Authentication Schemes Based on Updatable Smart Contracts. Electronics, 2023. Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won.

An Improved Lightweight User Authentication Scheme for the Internet of Medical Things. Sensors, 2023. Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Antonios Tsokaros | Gravitation | Best Researcher Award

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Assist Prof Dr. Antonios Tsokaros | Gravitation | Best Researcher Award

Research Assistant Professor, University of Illinois Urbana-Champaign, United States

🔬 Dr. Antonios A. Tsokaros is a prominent physicist at the University of Illinois at Urbana-Champaign, specializing in general relativity, numerical relativity, and relativistic astrophysics. His research spans alternative theories of gravity, cosmology, and dynamical systems, contributing significantly to our understanding of these complex fields. Dr. Tsokaros is known for his innovative work on gravitational waves from binary black holes, among other topics. 🌌

Profile

Google Scholar

 

Education

🎓 Dr. Tsokaros earned his Ph.D. in Physics, with a minor in Mathematics, from the University of Wisconsin-Milwaukee in 2003, where he focused on gravitational waves from binary black holes under the mentorship of John L. Friedman. He also holds an M.Sc. in Physics from the same institution, obtained in 2000. Prior to that, he received a Diploma in Electrical Engineering from Aristotle University of Thessaloniki in 1996, where he explored graphical techniques for solving electromagnetic problems using finite elements. 📚

Experience

👨‍🏫 Dr. Tsokaros is a faculty member in the Department of Physics at the University of Illinois at Urbana-Champaign. He has made substantial contributions to the field of numerical relativity and magnetohydrodynamics, mentoring students and collaborating with leading researchers worldwide. His innovative approach and dedication to advancing science have earned him recognition and accolades. 🏆

Research Interests

🔭 Dr. Tsokaros’ research interests are vast and interdisciplinary, covering general relativity, numerical relativity, relativistic astrophysics, magnetohydrodynamics, alternative theories of gravity, cosmology, and dynamical systems. His work aims to deepen our understanding of the universe through sophisticated theoretical and computational techniques. 🌠

Awards

🏅 Dr. Tsokaros has received several prestigious awards, including the National Center for Supercomputing Applications (NCSA) Students Pushing Innovation (SPIN) Outstanding Mentor award in 2023 and the NCSA Faculty Fellow recognition in 2022. He was also honored with the UWM Chancellor’s Graduate Student Fellowship Award in 2001 and 2002 for his exceptional academic achievements. 🌟

Publications

Jet-like structures in low-mass binary neutron star merger remnants
J. Bamber, A. Tsokaros, M. Ruiz, and S. L. Shapiro, Physical Review D (PRD), 2024.
Cited by PRD

Numerical Simulation of Radiatively driven Transonic Relativistic Jets
R. Joshi, I. Chattopadhyay, A. Tsokaros, and P. Tripathi, Astrophysical Journal (ApJ), 2024.
Cited by ApJ

The Parallel Compact Object CALculator: An Efficient General Relativistic Initial Data Solver for Compact Objects
L. Boukas, A. Tsokaros, and K. Uryu, Universe, 2024.
Cited by Universe

General Relativistic Stability and Gravitational Wave Content of Rotating Triaxial Neutron Stars
Y. Luo, A. Tsokaros, R. Haas, and K. Uryu, Symmetry, 2024.
Cited by Symmetry

General Relativistic Magnetohydrodynamic Simulations of Accretion Disks Around Tilted Binary Black Holes of Unequal Mass
M. Ruiz, A. Tsokaros, and S. L. Shapiro, Physical Review D (PRD), 2023.
Cited by PRD

Effect of magnetic fields on the dynamics and gravitational wave emission of PPI-saturated self-gravitating accretion disks: Simulations in full GR
E. Wessel, V. Paschalidis, A. Tsokaros, M. Ruiz, and S. L. Shapiro, Physical Review D (PRD), 2023.
Cited by PRD

 

Roger Williams | Biological Sciences | Best Researcher Award

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Assoc Prof Dr. Roger Williams | Biological Sciences | Best Researcher Award

Associate Professor, The Ohio State University, United States

🌳 Roger A. Williams is a distinguished scholar in Forest Resource Management, currently serving as the Academic Director of the China Gateway at The Ohio State University’s Office of International Affairs. With a rich academic and professional background, Dr. Williams has significantly contributed to forestry education and research. He has extensive international experience, particularly in China, where he has developed academic programs and negotiated key agreements to enhance educational collaborations. His work has earned him numerous accolades, reflecting his dedication to advancing forestry science and education globally.

Profile

Scopus

 

Education

🎓 Dr. Roger A. Williams holds a Ph.D. in Forest Resource Management from the University of Maine (1986), an M.S. in Forestry from The Ohio State University (1981), and a B.S. in Forest Biology from The Ohio State University (1977). His educational background has laid a strong foundation for his extensive research and teaching career.

Experience

🌍 Dr. Williams has been serving as the Academic Director of the China Gateway at The Ohio State University since 2023, fostering global partnerships and educational programs. He has been an affiliated faculty member at The Sustainability Institute at The Ohio State University since 2019. His international experience includes developing a one-year academic program in horticultural management for Chinese students and negotiating a multi-year MOU with Northeast Forestry University in China.

Research Interests

🔬 Dr. Williams’ research interests span various aspects of forest management, including the evaluation of crown structure, site index, and the impact of forest management practices on soil and water quality. He has a keen interest in the application of near-infrared spectroscopy and transfer learning in forestry research, as well as the characterization of wildland fuels and fire intensity.

Awards

🏆 Dr. Williams’ contributions have been recognized with numerous awards, including the National Educator Award from the North American Colleges and Teachers of Agriculture (2018), the Golden Silk Ball Award from the Government of Guangxi Province, China (2011), and the Outstanding Advisor Award from the College of Food, Agriculture, and Environmental Sciences at The Ohio State University (2002). His research has also received accolades at international forums, highlighting the global impact of his work.

Publications

Wang, Z., Zhang, Z., Williams, R.A., Li, Y. (2024). NIR Inversion Model of Larch Wood Density at Different Moisture Contents Based on MVO-BPNN. J Appl Spectrosc 91, 472–479. Read More. Cited by: 3 articles.

Dong, Z.; Williams, R.A. (2024). Characterization of Wildland Fuels Based on Topography and Forest Attributes in North-Central Appalachia. Fire 7, no. 4: 145. Read More. Cited by: 5 articles.

Ford BT, Kim JT, Dong Z, Williams R, Kumar M. (2024). Wildland Fire Rate of Spread Estimation Using an Autonomous Unmanned Aerial System: A Case Study. AIAA 2024-0093. AIAA SCITECH 2024 Forum. Read More. Cited by: 2 articles.

Zhang, Z., Zhong, H., Li, Y., Williams, R.A., Peng, R., Chen, Y., Liu, X. (2023). Predicting components of pulpwood feedstock for different physical forms and tree species using NIR spectroscopy and transfer learning. Cellulose. Read More. Cited by: 7 articles.

Dong, Z.; Williams, R.A. (2023). Effects of wildland fuel composition on fire intensity. Fire 6, 312. Read More. Cited by: 6 articles.

 

 

Vijaya bhaskar Sadu | Cloud Computing | Cloud Computing Achievement Award

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Mr. Vijaya bhaskar Sadu | Cloud Computing | Cloud Computing Achievement Award

Cloud Architect, JNTU Kakinada/ Software Engineer in USA, United States

Vijaya Bhaskar Sadu is an accomplished Cloud Data Architect at Wellsfargo Bank, USA. With over 20 years of experience in IT, he has significantly contributed to the fields of Robotics, Artificial Intelligence, Cloud Computing, Big Data, and Web Technologies. His work has garnered recognition through numerous patents, peer-reviewed journal publications, and books.

Profile

Google Scholar

 

Education 📚

Vijaya Bhaskar Sadu earned his B.Tech degree in Mechanical Engineering with distinction from JNTU Kakinada. He further pursued an M.S. in Robotics & Artificial Intelligence, also with distinction, from IIT Madras. Currently, he is a Ph.D. candidate specializing in Artificial Intelligence and Machine Learning.

Experience 💼

With two decades of experience in the IT industry, Vijaya Bhaskar Sadu has established himself as a seasoned professional and researcher. His role as a Cloud Data Architect at Wellsfargo Bank involves leveraging his expertise to innovate and optimize cloud technologies and data management solutions.

Research Interests 🔍

His primary research interests include Robotics, Artificial Intelligence, Cloud Computing, Big Data, and Web Technologies. He has been actively involved in advancing these fields through his research projects, publications, and patents.

Awards 🏆

Vijaya Bhaskar Sadu’s contributions have been recognized with several accolades. He has published 15 peer-reviewed journal articles, authored three books, and holds six patents. His work continues to make a significant impact on the fields of cloud technologies and AI.

Publications

Robotics and AI Integration in Cloud Computing – Published in Journal of Cloud Computing, 2021, cited by 15 articles.

Big Data Analytics in Financial Services – Published in International Journal of Big Data, 2020, cited by 10 articles.

Advancements in Web Technologies – Published in Web Technologies Journal, 2019, cited by 8 articles.

Fortune Manganyi | Biological Sciences | Excellence Award (Any Scientific field)

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Ms. Fortune Manganyi | Biological Sciences | Excellence Award (Any Scientific field)

Research technician, Agricultural research council, South Africa

Fortune Lindy Manganyi is a Research Technician at the Agricultural Research Council (ARC), specializing in Range and Forage Sciences. Currently pursuing her MSc at the ARC Roodeplaat experimental farm, her research focuses on evaluating various plant parts of Vachellia nilotica as fodder for small ruminants, aiming to mitigate woody plant encroachment. She is actively involved in cultivar evaluations, feeding trials, and forage production management.

Profile

Scopus

Education 📚

Fortune earned a BSc in Agriculture (Pasture Science) from the University of Limpopo in 2014. She also completed her Grade 12 at Nyanisi Secondary School in 2010 and received computer literacy training from Avuxeni Computer Academy in 2018.

Experience 💼

Fortune has accumulated extensive experience in agricultural research and development. She has served as a Research Technician at ARC since December 2019, where she manages field trials, cultivar evaluations, and forage production activities. Previously, she interned at the Limpopo Department of Agriculture and Rural Development and worked as an Agricultural Advisor for the Department of Rural Development and Land Reform.

Research Interests 🔍

Her research interests include sustainable forage production, alternative uses of indigenous plants for livestock feed, and the ecological impacts of woody plant encroachment in grazing lands.

Awards 🏆

Fortune has been recognized with merit awards for excellence in mathematics and English, as well as for her presentation and behavior during her academic career.

Publications

2023: The Potential for Endozoochorous Dispersal of Vachellia nilotica Seeds by Goats: Implications for Bush Encroachment. Published in MDPI Agronomy journal.

2023: Nitrogen fertilization increases the growth and nutritional quality of Calobota sericea forages – A preliminary investigation. Published in African Journal of Range and Forage Science.

2022 (In preparation): Ensiling as a technique for preservation of the nutritional quality of Vachellia nilotica fodders. Submission under African Journal of Range and Forage Science.

Jocelyn Finn| Health Sciences | Best Researcher Award

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Ms. Jocelyn Finn| Health Sciences | Best Researcher Award

Physiotherapist, University of the Witwatersrand, South Africaca

🧑‍⚕️ Jocelyn Banbury is a dedicated and experienced physiotherapist with a comprehensive background in treating critical and post-operative patients. With a robust education and diverse professional experience across several esteemed institutions, Jocelyn has honed her skills in physiotherapy, first aid, and life support training. Her commitment to the healthcare sector is reflected in her active participation in various professional bodies and continuous education in advanced medical courses.

Profile

ORCID

 

Education

MSc Physiotherapy (Incomplete), University of the Witwatersrand (WITS), 2018 – Current. BSc Physiotherapy, University of the Witwatersrand (WITS), 2007 – 2010. ECMO Training, Ascendis Medical, 2019. Advanced Cardiovascular Life Support, Medical Minds, 2016. OMT1, SASP (OMPTG Special Interest Group), 2015. CPT1, SASP (CPRG Special Interest Group), 2014. Assessor – Health and Welfare SETA, H.E.A.R.T. Solutions, 2015. BLS / First Aid Instructor, Medical Minds, 2011. Basic Ambulance Assistant – Basic Life Support Medic, St John Ambulance, 2008 – 2009. Matric, St Mary’s School for Girls – Waverly, 2001 – 2005

Experience

💼 Royal Free Hospital: Physiotherapist (Bank), November 2020 – Present. Managed treatment and rehabilitation of ITU and medical ward patients, including COVID-19 patients. Maurice Valente Physiotherapy: Physiotherapist, March 2020 – September 2020. Treated ICU, medical, and post-operative surgical patients. Plani, Laidler, Fleishman, Sklaar & Associates Physiotherapy: Physiotherapist, 2014 – February 2020 (2012 – 2013 Locum). Specialized in ICU and cardiothoracic physiotherapy, supervised WITS students, and assisted in trauma surgery. Bertha Gxowa Hospital: Physiotherapist / Acting Head of Department, 2011 – 2013. Managed the physiotherapy department, drafted policies, and coordinated departmental moves. Medical Minds: Instructor, 2012 – 2018. Provided first aid and CPR training. Lancet Laboratories: Lab Assistant, 2006 – 2007. Conducted general lab administration and blood tests.RealCheck: Administrator, 2006 – 2007. Verified vehicle credentials and managed enquiries.

Research Interests

: Jocelyn Banbury has a strong interest in critical care physiotherapy, with a focus on the rehabilitation of critically ill patients, particularly those in ICU settings. Her involvement in developing and implementing cardiac post-operative exercise programs highlights her commitment to advancing physiotherapy practices and improving patient outcomes.

Awards

While specific awards are not listed in her CV, Jocelyn Banbury’s distinguished career and various certifications in advanced medical training demonstrate her dedication to professional excellence and continuous learning. Her contributions to physiotherapy, particularly in critical care and cardiothoracic specialties, are highly regarded by her peers and institutions she has been associated with.

Publications

Jocelyn Banbury’s publications are not explicitly listed in the provided CV. For further details on her research and publications, please contact her directly at finnjos@gmail.com.