George Chimowa | Disease diagnosis | Excellence in Research

Dr. George Chimowa | Disease diagnosis | Excellence in Research

Botswana International University of Science and Technology | Botswana

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DR. GEORGE CHIMOWA – NANOMATERIALS PHYSICIST & RESEARCH LEADER ⚛️🔬

INTRODUCTION 📚

Dr. George Chimowa is a distinguished physicist specializing in nanomaterials for energy and health applications. With over 13 years of academic experience and a strong background in both research and industry, he has made significant contributions to the field of nanotechnology, electronic transport, and material sciences. Currently serving as a Senior Lecturer at the Botswana International University of Science and Technology (BIUST), he leads groundbreaking research that bridges fundamental physics with applied technological advancements.

EARLY ACADEMIC PURSUITS 🎓

Dr. Chimowa’s journey into physics began with a BSc (Hons) in Physics from the National University of Science and Technology, Zimbabwe. He later pursued an MSc in Physics at the University of the Witwatersrand, focusing on synthesis and characterization of nanodiamond films. His academic excellence led him to a PhD in Physics (2011-2015) at the University of the Witwatersrand, where his research explored dynamic electrical transport in carbon nanotubes and nanodiamond films.

PROFESSIONAL ENDEAVORS 💼

Dr. Chimowa’s career spans both academia and industry, reflecting his versatility in applying scientific expertise to real-world challenges:

  • Senior Lecturer (March 2021 – Present), Botswana International University of Science and Technology
  • Lecturer (2019 – 2021), Botswana International University of Science and Technology
  • Postdoctoral Researcher (2016 – 2017), CNRS, Toulouse, France – Focused on nanomaterials for disease diagnosis under the EU Graphene Project.
  • Postdoctoral Researcher (2015 – 2016), CSIR, South Africa – Developed nanomaterials for gas sensing in the mining sector.
  • Electronic Engineer (2009), World Processing Devices, South Africa – Designed electronic mining safety equipment.
  • Broadcast Engineer (2002 – 2009), CII Broadcasting (South Africa) & Zimbabwe Broadcasting Corporation – Managed broadcasting infrastructure and training.
  • High School Teacher (2000 – 2008), Zimbabwe & Namibia – Taught Mathematics and Physics at Advanced and Ordinary Levels.

CONTRIBUTIONS AND RESEARCH FOCUS  ON DISEASE DIAGNOSIS🔬

Dr. Chimowa’s research focuses on nanomaterials for energy and health applications, with particular expertise in:

  • Carbon-based nanomaterials for electronic and sensing applications.
  • Electrical transport properties of nanostructured materials.
  • Graphene and nanotube-based sensors for disease diagnosis.
  • Device fabrication using advanced lithographic techniques.

His leadership in research is evident in his supervision of 2 PhD students and 3 MSc students, ensuring the next generation of scientists is well-equipped to advance nanotechnology applications.

IMPACT AND INFLUENCE 🌍

Dr. Chimowa’s work has had a profound impact on both fundamental physics and applied materials science. His innovations in electronic transport phenomena have influenced the development of next-generation nano-electronic devices. As a reviewer for several international journals, he actively contributes to the scientific community by maintaining research integrity and quality.

ACADEMIC CITATIONS AND PUBLICATIONS 📝

Dr. Chimowa has an impressive 22 peer-reviewed journal publications, with 11 as the first author. Notable publications include:

  1. New Volatile Organic Compounds from the Exhaled Breath of Active Tuberculosis PatientsNature Scientific Reports (2025).
  2. Converting Ambipolar Double-Walled Nanotube Bundles to Unipolar CNT FET DevicesPhys. Status Solidi A (2023).
  3. Improving Gas Sensing Properties of MWCNTs by Vanadium Oxide FillingSensors and Actuators B (2017).
  4. Temperature-Dependent Diffusive to Ballistic Transition in DWCNTsApplied Physics Letters (2014).
  5. Origin of Conductive Crossover in MWCNTs Filled by IronPhysical Review B (2011).

More publications can be accessed via Google Scholar.

HONORS & AWARDS 🏅

Dr. Chimowa’s research excellence has been recognized with several prestigious grants and awards, including:

  • African Research Initiative for Scientific Excellence (ARISE-PP) Grant – €443,920 (2022-2027).
  • Young Researcher Establishment Fund (YREF) – ZAR 600,000 (2015-2016).
  • Golden Key International Research Grant – USD $1,000 (2013).
  • Staff Initiation Grant, BIUST – BWP 200,000 (2019-2021).

FINAL NOTE ✨

With a unique blend of academic expertise, research leadership, and industrial experience, Dr. Chimowa continues to shape the future of nanotechnology and material science. His mentorship of postgraduate students, extensive publication record, and cutting-edge research solidify his position as a leading physicist in Africa and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Chimowa’s legacy lies in his pioneering work in nanomaterials, his dedication to advancing scientific knowledge, and his commitment to mentoring future researchers. As a principal investigator on major international projects, he is set to drive innovation in nanotechnology for years to come, impacting both academia and industry.

TOP NOTES PUBLICATIONS 📚

Anisotropic three-dimensional weak localization in ultrananocrystalline diamond films with nitrogen inclusions
    • Authors: LH Willems van Beveren, DL Creedon, N Eikenberg, K Ganesan, …
    • Journal: Physical Review B
    • Year: 2020
The effect of metal-contacts on carbon nanotube for high frequency interconnects and devices
    • Authors: G Chimowa, S Bhattacharyya
    • Journal: AIP Advances
    • Year: 2014
Realizing one-dimensional quantum and high-frequency transport features in aligned single-walled carbon nanotube ropes
    • Authors: S Ncube, G Chimowa, Z Chiguvare, S Bhattacharyya
    • Journal: Journal of Applied Physics
    • Year: 2014
Observation of impedance oscillations in single-walled carbon nanotube bundles excited by high-frequency signals
    • Authors: G Chimowa, S Ncube, S Bhattacharyya
    • Journal: Europhysics Letters
    • Year: 2015
High-frequency electrical transport in nitrogen incorporated nano-crystalline diamond films in the GHz regime
    • Authors: G Chimowa, RM Erasmus, S Bhattacharyya
    • Journal: Europhysics Letters
    • Year: 2015
Converting Ambipolar Double‐Walled Nanotube Bundles to Unipolar Carbon Nanotube Field‐Effect Transistor Devices by Inner Functionalization
    • Authors: G Chimowa, E Flahaut, VR Sodisetti, S Bhattacharyya
    • Journal: physica status solidi (a)
    • Year: 2023

Giuliana Ramella | Artificial Intelligence | Best Researcher Award

Dr. Giuliana. Ramella | Artificial Intelligence | Best Researcher Award

National Research Council, Italy

Professional Profile 👨‍🎓

Scopus Profile

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Research Gate Profile

Early Academic Pursuits 🎓

Dr. Giuliana Ramella embarked on her academic journey with a strong foundation in Physics, specializing in Cybernetics, from the University of Naples “Federico II”, Italy, where she obtained her Laurea degree in 1990. Her early career was distinguished by a fellowship granted by the Italian National Research Council (CNR) at the Institute of Cybernetics “E. Caianiello”, which marked the beginning of her deep engagement with interdisciplinary research. Her academic background was further enriched by participation in several international and national schools, covering topics from biophysics to machine vision, which laid the groundwork for her future research endeavors.

Professional Endeavors 🧑‍🔬

Dr. Ramella’s professional career at the CNR has spanned decades, beginning in 1991 with a fellowship at the Institute of Cybernetics, now known as the Institute of Applied Sciences and Intelligent Systems (CNR-ISASI). Over the years, she transitioned into permanent research roles, contributing significantly to numerous research projects. Her professional milestones include being a visiting researcher at LIAMA (Sino-French Laboratory) in Beijing, China, and overseeing major research initiatives such as those focused on image processing and the conservation of cultural heritage.

Contributions and Research Focus 🔬

Dr. Ramella’s research spans multiple fields, including image processing, artificial intelligence, neurosciences, and cultural heritage conservation. Notable contributions include leadership in projects such as CNR-IAC-CNR DIT.AD021.077 (focused on color image processing) and the Campania Imaging Infrastructure for Research in Oncology. Her work blends theoretical and practical applications, particularly in the intersection of machine learning and image analysis, demonstrating her commitment to advancing computational methods in complex scientific domains.

Impact and Influence 🌍

Dr. Ramella has made a significant impact both in Italy and internationally, particularly in the fields of biophysics, neurosciences, and cultural heritage preservation. She has led several high-profile projects, influencing the development of automated systems for monitoring and diagnosing cultural heritage, as well as data analysis systems for oncology research. Her leadership in educational coordination has also contributed to the professional development of individuals in specialized fields, including image and data management.

Academic Citations and Scholarly Recognition 📚

Throughout her career, Dr. Ramella has built a robust academic reputation, frequently cited for her work in machine learning frameworks like Pytorch, TensorFlow, and Keras, as well as her contributions to computer vision. Her involvement in international workshops and conferences further underscores her standing as a thought leader in the scientific community. Additionally, her research has had a profound effect on the fields of visual perception and neuroscience, solidifying her as a key figure in these interdisciplinary areas.

Technical Skills and Expertise 💻

Dr. Ramella is highly skilled in a range of programming languages, including Matlab, C/C++, and Python, which are essential tools for her work in data analysis and machine learning. She has a strong command over popular machine learning frameworks like Pytorch, TensorFlow, and Keras, which she applies to advanced research in image processing, signal analysis, and high-dimensional data modeling. Her technical expertise is fundamental to her contributions to automated systems in the analysis of cultural artifacts and medical imaging.

Teaching Experience 🍎

In addition to her research, Dr. Ramella has played an essential role in educational coordination. She co-led specialist courses for unemployed individuals and workers in mobility, aimed at developing technical skills for sectors like image management and building heritage monitoring. Her role in shaping the professional development of students in the fields of image analysis and information technology has left a lasting impact on both the academic and professional communities.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Ramella’s legacy is poised to continue making waves in the fields of artificial intelligence and machine learning, especially in the areas of healthcare, cultural heritage conservation, and data-driven methodologies. Her ongoing involvement in projects like the Agritech research program, funded by the European Union through Next Generation EU, speaks to her future aspirations to contribute to cutting-edge research and technological advancements. Dr. Ramella’s future work promises to leave an indelible mark on interdisciplinary fields, continuing her legacy of innovation and impact across global scientific communities.

 

Top Noted Publications 📖

An Open Image Resizing Framework for Remote Sensing Applications and Beyond

Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Remote Sensing
Year: 2023

Image Scaling by de la Vallée-Poussin Filtered Interpolation

Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Journal of Mathematical Imaging and Vision
Year: 2023

Filtered Polynomial Interpolation for Scaling 3D Images

Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Electronic Transactions on Numerical Analysis
Year: 2023

 Lagrange–Chebyshev Interpolation for Image Resizing

Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Mathematics and Computers in Simulation
Year: 2022

Saliency-based Segmentation of Dermoscopic Images Using Colour Information

Author: Ramella, G.
Journal: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Year: 2022

Qinxu Ding | Machine Learning and AI Applications | Best Researcher Award

Dr. Qinxu Ding | Machine Learning and AI Applications | Best Researcher Award

Dr. Qinxu Ding at Singapore University of Social Sciences, Singapore

PROFILES👨‍🎓

EARLY ACADEMIC PURSUITS 📚

This accomplished individual began their academic journey with a B.S. in Information and Numerical Science from Nankai University, Tianjin, China, graduating in July 2015 with an impressive GPA of 89/100. Their undergraduate studies laid a strong foundation in Mathematical Statistics, Probability Theory, and Data Mining, which paved the way for further academic exploration. They pursued a Ph.D. in Computational Mathematics at Nanyang Technological University, completing their thesis on Numerical Treatment of Certain Fractional and Non-fractional Differential Equations in April 2020.

PROFESSIONAL ENDEAVORS 💼

Currently, this individual serves as a Lecturer and DBA Supervisor in the Finance Programme at the Business School of the Singapore University of Social Sciences (SUSS) since July 2021. Their teaching portfolio includes various fintech courses such as Machine Learning and AI for FinTech, Blockchain Technology, and Risk Management for Finance and Technology. Prior to this role, they were a Research Fellow at the Alibaba-NTU Singapore Joint Research Institute, focusing on Explainable Artificial Intelligence.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Their research interests lie at the intersection of applied machine learning, computational mathematics, and blockchain technology in fintech. They have made significant contributions through publications in top-tier AI conferences, including ICLR, NeurIPS, AAAI, and CIKM, as well as prestigious journals in computational mathematics and fintech.

IMPACT AND INFLUENCE 🌟

The individual has played a pivotal role in enhancing the understanding of machine learning models and their applicability in real-world financial scenarios. Their work on adversarial attacks in deep neural networks and the development of explainable AI frameworks has positioned them as a thought leader in the field, influencing both academic and industrial practices.

ACADEMIC CITES 📖

Their groundbreaking research has been recognized in multiple high-impact venues, highlighting their innovative approaches to complex problems in fintech. Notable publications include works on adversarial defenses, counterfactual explanations, and recommendation systems, reflecting a robust commitment to advancing knowledge in AI and fintech.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

As a Chartered Fintech Professional and a member of various academic committees, this individual continues to contribute to the fintech community. Their involvement in organizing the Global Web3 Eco Innovation Summit 2022 illustrates their dedication to fostering innovation and collaboration in the fintech space. Looking ahead, they aim to further bridge the gap between academia and industry, shaping the future of fintech through research and education.

TOP NOTED PUBLICATIONS 📖

Stable neural ode with lyapunov-stable equilibrium points for defending against adversarial attacks
    • Authors: Q. Kang, Y. Song, Q. Ding, W. P. Tay
    • Journal: Advances in Neural Information Processing Systems
    • Year: 2021
Non-polynomial Spline Method for Time-fractional Nonlinear Schrödinger Equation
    • Authors: Q. Ding, P. J. Y. Wong
    • Journal: 15th International Conference on Control, Automation, Robotics and …
    • Year: 2018
A hybrid bandit framework for diversified recommendation
    • Authors: Q. Ding, Y. Liu, C. Miao, F. Cheng, H. Tang
    • Journal: Proceedings of the AAAI Conference on Artificial Intelligence
    • Year: 2021
Quintic non-polynomial spline for time-fractional nonlinear Schrödinger equation
    • Authors: Q. Ding, P. J. Y. Wong
    • Journal: Advances in Difference Equations
    • Year: 2020
A survey on decentralized autonomous organizations (DAOs) and their governance
    • Authors: Q. Ding, D. Liebau, Z. Wang, W. Xu
    • Journal: World Scientific Annual Review of Fintech
    • Year: 2023
The skyline of counterfactual explanations for machine learning decision models
    • Authors: Y. Wang, Q. Ding, K. Wang, Y. Liu, X. Wu, J. Wang, Y. Liu, C. Miao
    • Journal: Proceedings of the 30th ACM International Conference on Information …
    • Year: 2021