Camila CanaΓ‘n-Haden | Biomedical research | Best Researcher Award

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Ms. Camila CanaΓ‘n-Haden | Biomedical research | Best Researcher Award

PhD student, Center for Genetic Engineering and Biotechnology (CIGB)

Camila CanaΓ‘n-Haden Ayala is a Cuban researcher specializing in cancer immunotherapy. She works at the Center for Genetic Engineering and Biotechnology (CIGB), focusing on developing therapeutic cancer vaccines and recombinant antigen production. Her expertise includes immune response evaluations using ELISA, FACS, ELISPOT, and cytokine assays in various models. She has contributed to COVID-19 clinical trials and vaccine development, including the Abdala vaccine. Camila has undertaken multiple international research fellowships in Italy, Spain, France, and Mexico. Her work aims to improve immunotherapeutic strategies against cancer by targeting immune checkpoints and optimizing vaccine efficacy.

Profile

Scholar

πŸŽ“ Education

Camila holds a Master’s in Contemporary Biotechnology (2019-2022) from CIGB and a Bachelor’s in Biochemistry and Molecular Biology (2012-2017) from the University of Havana. She completed postgraduate training in bioinformatics, immunology, protein engineering, and good laboratory practices. Her academic foundation includes mathematics, chemistry, molecular genetics, virology, and clinical biochemistry. She has pursued advanced studies in biomedical research through multiple international pre-doctoral fellowships.

πŸ’Ό Experience

Since 2017, Camila has been a researcher at CIGB’s Cancer Immunotherapy Lab. She has led projects on immune checkpoint inhibition strategies and therapeutic cancer vaccine development. Her work includes antigen cloning, protein characterization, and immunogenicity studies in animal models. She has evaluated antitumor and anti-metastatic effects of novel therapies and contributed to clinical trials for COVID-19 treatments. She has also worked with antibody phage display libraries to develop scFv antibodies. Her research extends to immune response assessments for cancer and infectious disease vaccines.

πŸ† Awards & Honors

Camila has received prestigious short-term pre-doctoral fellowships in Italy (ICGEB-Trieste, University of Padua), Spain (CIBIR), France (Cancer Research Center of Lyon), and Mexico (CICESE), funded by international programs like IILA, Coimbra Group, and EU Ventana Adelante. Her contributions to COVID-19 vaccine research have been recognized in published scientific papers. She has played a key role in Cuban clinical trials for novel immunotherapies and has received funding for advanced research in biotechnology and immunology.

πŸ” Research Focus

Camila’s research centers on cancer immunotherapy, focusing on immune checkpoint inhibition and tumor vaccine development. She specializes in recombinant antigen production, immune response characterization, and antibody-based therapies. Her projects involve antigen cloning, protein engineering, and evaluating vaccine efficacy in preclinical models. She has explored the combination of immunotherapies targeting VEGF and PD-L1 pathways to enhance anti-tumor responses. Her work has also contributed to COVID-19 vaccine research, particularly in evaluating immunogenicity and antibody responses.

Conclusion

Camila CanaΓ‘n-Haden Ayala’s academic and professional trajectory is exceptional, with significant contributions to cancer immunotherapy and vaccine development. Her technical expertise, international exposure, and scientific output make her a strong contender for the Best Researcher Award. With a continued focus on expanding her clinical research impact, publishing in high-impact journals, and taking on leadership roles, her potential to drive groundbreaking innovations is evident.

Publication

M Limonta-FernΓ‘ndez, G Chinea-Santiago, AM MartΓ­n-Dunn, …
Title: An engineered SARS-CoV-2 receptor-binding domain produced in Pichia pastoris as a candidate vaccine antigen
Year: 2022
Citation: 63

LA Espinosa, Y Ramos, I AndΓΊjar, EO Torres, G Cabrera, A MartΓ­n, …
Title: In-solution buffer-free digestion allows full-sequence coverage and complete characterization of post-translational modifications of the receptor-binding domain of SARS-CoV-2
Year: 2021
Citation: 15

YA Fleites, J Aguiar, Z Cinza, M Bequet, E Marrero, M VizcaΓ­no, I Esquivel, …
Title: HeberNasvac, a therapeutic vaccine for chronic hepatitis B, stimulates local and systemic markers of innate immunity: Potential use in SARS-CoV-2 postexposure prophylaxis
Year: 2021
Citation: 10

LA Espinosa, Y Ramos, I AndΓΊjar, EO Torres, G Cabrera, A MartΓ­n, …
Title: In-solution buffer-free digestion for the analysis of SARS-CoV-2 RBD proteins allows a full sequence coverage and detection of post-translational modifications in a single ESI
Year: 2021
Citation: 8

Y Morera-DΓ­az, C CanaΓ‘n-Haden, J SΓ‘nchez-RamΓ­rez, …
Title: Active immunization with a structurally aggregated PD-L1 antigen breaks T and B immune tolerance in non-human primates and exhibits in vivo anti-tumoral effects in
Year: 2023
Citation: 4

D VΓ‘zquez-Blomquist, M Bequet-Romero, Y Mendoza-MarΓ­, G Lemos, …
Title: Nasalferon, a new nasal formulation of IFNΞ±2b, modulates cellular and molecular elements associated with an antiviral response in mucosa and blood
Year: 2022
Citation: 4

EM Idelsis, PE JΓ©sus, DR Yaquelin, VB Dania, BR MΓ³nica, BR Lisandra, …
Title: A combination treatment of IFN-Ξ±2b and IFN-Ξ³ accelerates viral clearance and control inflammatory response in COVID-19: Preliminary results of a randomized controlled trial
Year: 2021
Citation: 4

C CanaΓ‘n-Haden, J SΓ‘nchez-RamΓ­rez, R MartΓ­nez-Castillo, …
Title: Immunogenicity and Safety Profile of Two Adjuvanted-PD-L1-Based Vaccine Candidates in Mice, Rats, Rabbits, and Cynomolgus Monkeys
Year: 2025
Citation: N/A

Y Morera, M Bequet-Romero, F HernΓ‘ndez-Bernal, I GonzΓ‘lez-Moya, …
Title: Preclinical and clinical significance of VEGF deprivation in ovarian cancer through a specific active immunotherapy
Year: 2023
Citation: N/A

Shengyu Lu | Artificial Intelligence | Young Scientist Award

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Dr. Shengyu Lu | Artificial Intelligence | Young Scientist Award

Tenure-Track Associate Professor, Harbin Engineering University

Shengyu Lu is a Tenure-Track Associate Professor at Harbin Engineering University, specializing in deep learning and computer vision. He obtained his Ph.D. in Computer Science from the University of Southampton (2020-2024) and has a strong background in software engineering and information security. With experience as a lecturer and teaching assistant, he has mentored students in machine learning, image processing, and programming. His research focuses on medical image analysis, particularly using deep learning for fracture discrimination and volumetric texture classification. He has collaborated with leading clinical experts and published extensively in high-impact journals. Shengyu has also served as a reviewer for prestigious journals, including Pattern Recognition and IEEE Transactions on Industrial Informatics. Recognized for his contributions, he has received multiple scholarships and awards, such as the Best Abstract Award in Rheumatology and the Best Oral Presentation Award at the WCSE Conference.

Profile

Scholar

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πŸŽ“ Education 

Ph.D. in Computer Science (2020-2024) – University of Southampton, specializing in deep learning and medical image analysis under the supervision of Sasan Mahmoodi and Mahesan Niranjan. Master’s in Software Engineering (2017-2020) – Xiamen University, focusing on machine learning, AI, and software development. Bachelor’s in Information Security (2013-2017) – Nanchang University, with expertise in cybersecurity and data protection. Throughout his academic journey, Shengyu Lu has developed advanced AI-driven solutions for medical imaging, object detection, and computational intelligence. His research integrates deep learning with real-world applications, particularly in healthcare and security. He has actively participated in conferences and received multiple scholarships, including the National Merit Scholarship and the China Scholarship Council (CSC) Scholarship. His educational background reflects a strong foundation in AI, computer vision, and software engineering, preparing him for impactful research and teaching.

πŸ’Ό Work Experience 

Lecturer (2024-Present) – Harbin Engineering University, delivering lectures, mentoring students, and conducting AI research. Teaching Assistant (2020-2024) – University of Southampton, guiding master’s students in machine learning, image processing, and Python programming. Mentor (2021-2023) – University of Southampton, assisting master’s students in academic and career development. Teaching Assistant (2018-2019) – Xiamen University, instructing undergraduate students in software engineering and C programming. Shengyu Lu has a strong teaching portfolio, mentoring students in AI-related disciplines and conducting impactful research. His role as a lecturer involves fostering academic excellence while advancing research in deep learning and medical image analysis. With experience in both undergraduate and postgraduate education, he has developed expertise in curriculum development, student mentorship, and academic service.

πŸ† Awards and Honors 

2022 – Best Abstract Award, Rheumatology 2020 – Best Oral Presentation Award, WCSE Conference 2020 – China Scholarship Council (CSC) Scholarship 2020 – Outstanding Graduate, Xiamen University m2019 – National Merit Scholarship 2019 – β€œXuangong Wu” Research Scholarship 2018 – β€œHuawei” Scholarship 2017 – Outstanding Graduate, Nanchang University 2016-2014 – Multiple Excellent Student and Cadre Awards Recognized for his academic excellence and research contributions, Shengyu Lu has received numerous awards and scholarships. His outstanding performance in AI and deep learning has earned him national and international accolades. His achievements highlight his dedication to cutting-edge research and academic leadership.

πŸ”¬ Research Focus 

Shengyu Lu’s research centers on deep learning and computer vision, with a particular emphasis on medical image analysis. His work includes designing deep neural networks for fracture discrimination using high-resolution peripheral quantitative computed tomography (HR-pQCT) images. He develops AI-driven volumetric texture analysis techniques to assess cortical and trabecular compartments in bone structure. Collaborating with clinical experts from the MRC Lifecourse Epidemiology Centre and University Hospital, he integrates AI with medical diagnostics. His research extends to object detection, machine learning for protein-protein interactions, and real-time AI applications. He has published extensively in SCI-indexed journals such as Bone, IEEE Access, and Computers & Electrical Engineering. His innovative contributions improve automated medical diagnostics, reducing human error in clinical assessments. His work advances AI’s role in healthcare, bridging the gap between technology and medicine to enhance early disease detection and predictive analytics.

πŸ” Conclusion

Shengyu Lu is a strong candidate for the Young Scientist Award, given his impressive academic achievements, impactful research contributions in deep learning for medical imaging, and international recognition. To further strengthen his candidacy, he could focus on securing independent research funding, leading high-impact clinical studies, and increasing first-author publications in top-tier journals.

Publication

Author: S Lu, B Wang, H Wang, L Chen, M Linjian, X Zhang
Title: A real-time object detection algorithm for video
Year: 2019
Citations: 145

Author: S Lu, B Wang, H Wang, Q Hong
Title: A hybrid collaborative filtering algorithm based on KNN and gradient boosting
Year: 2018
Citations: 20

Author: S Lu, H Chen, XZ Zhou, B Wang, H Wang, Q Hong
Title: Graph‐Based Collaborative Filtering with MLP
Year: 2018
Citations: 19

Author: L Chen, B Xu, J Chen, K Bi, C Li, S Lu, G Hu, Y Lin
Title: Ensemble-machine-learning-based correlation analysis of internal and band characteristics of thermoelectric materials
Year: 2020
Citations: 18

Author: S Lu, NR Fuggle, LD Westbury, MΓ“ Breasail, G Bevilacqua, KA Ward, …
Title: Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors
Year: 2023
Citations: 16

Author: S Lu, Q Hong, B Wang, H Wang
Title: Efficient resnet model to predict protein-protein interactions with GPU computing
Year: 2020
Citations: 15

Author: S Lu, B Wang
Title: An image retrieval algorithm based on improved color histogram
Year: 2019
Citations: 8

Author: NR Fuggle, S Lu, MΓ“ Breasail, LD Westbury, KA Ward, E Dennison, …
Title: OA22 Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors
Year: 2022
Citations: 5

Author: S Lu, S Mahmoodi, M Niranjan
Title: Robust 3D rotation invariant local binary pattern for volumetric texture classification
Year: 2022
Citations: 4

Author: S Lu, H Chen, L Peng, B Wang, H Wang, X Zhou
Title: A compression algorithm of FASTQ file based on distribution characteristics analysis
Year: 2018
Citations: 1

 

Max Lenz | Health Professions | Young Scientist Award

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Dr. Max Lenz | Health Professions | Young Scientist Award

Resident Phycisian | Medical university of vienna, Austria

Priv. Doz. Dr. med. univ. Max Lenz, PhD, is an Austrian specialist in Internal Medicine and Cardiology at the Medical University of Vienna. He pursued medical studies at the Medical University of Vienna. He completed his PhD in Vascular Biology in 2023 and obtained Venia Docendi in 2024. His clinical and research expertise lies in ischemia-reperfusion injury, inflammatory responses, and cardiac biomarkers. Dr. Lenz has authored numerous publications and received prestigious awards for his contributions to cardiovascular medicine.

Publication Profile

Scopus

πŸŽ“Education

Dr. Lenz attended Γ„tsch Schule for primary education and Neulandschule Laaerberg for secondary school. He pursued medical studies at the Medical University of Vienna, where he later enrolled in a PhD program (n094) focusing on Vascular Biology from 2016 to 2023. In 2024, he was awarded Venia Docendi, recognizing his academic expertise and teaching qualification in medicine.

πŸ’ΌExperience

Dr. Lenz began his professional career as a Study Coordinator at the Division of Cardiology, Medical University of Vienna (2017–2018). He pursued a PhD in Vascular Biology (2016–2023) while completing his residency at the Medical University of Vienna (2018–2024). In 2024, he was appointed Specialist for Internal Medicine and Cardiology at the Division of Cardiology, where he continues his clinical and academic endeavors.

πŸ†Awards and Honors

Dr. Lenz has received multiple prestigious awards, including the Γ–KG Grant (2017) for his research on mitochondrial DNA in ischemia-reperfusion injury. He won the CVC Publication Prize (2022) for his work on intracellular Na+ modulation in inflammatory response. In 2023, he received the Best Abstract Prize at Γ–SKIM for his study on NSE measurements in ICU patients. In 2024, he was awarded the Medizinisch-Wissenschaftlichen Fonds des BΓΌrgermeisters der Bundeshauptstadt Wien for research on inflammatory markers in fulminant myocarditis.

πŸ”¬Research Focus

Dr. Lenz’s research focuses on vascular biology, ischemia-reperfusion injury, mitochondrial function, and inflammatory processes in cardiology. His work explores pharmacologic modulation of intracellular Na+ levels, biomarkers for cardiac risk stratification, and immune responses in myocardial infarction and myocarditis. His studies have significantly contributed to understanding cardiovascular pathophysiology, with 13 first/last-author publications and 22 co-authored papers.

Conclusion

Dr. Max Lenz is a highly competitive candidate for the Young Scientist Award, given his outstanding research achievements, academic excellence, and contributions to cardiology. Expanding international collaborations and leadership roles could further solidify his profile as a top contender.

Publications

  • Title: Routinely Available Inflammatory Biomarkers Are Not Associated With Target Lesion Revascularization After Coronary Intervention
    Year: 2025
    Authors: Eva Steinacher, Andreas Hammer, Ulrike Baumer, Lorenz Koller, Alexander Niessner

 

  • Title: Urinary Output as a Predictor of Mortality in Cardiogenic Shock: An Explorative Retrospective Analysis
    Year: 2024
    Authors: Sebastian Markart, Alexander Hermann, Florian Chiari, Thomas Staudinger, Robert Zilberszac

 

  • Title: NT-proBNP Reflects Left Ventricular Hypertrophy Rather than Left Ventricular Dilatation or Systolic Dysfunction in Patients with Fabry Disease
    Year: 2024
    Authors: Constantin Gatterer, Dietrich Beitzke, Gère Sunder-Plaßmann, Senta Graf, Max Lenz

 

Xiaoxue Luo | Medicine | Excellence in Innovation

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Ms. Xiaoxue Luo | Medicine | Excellence in Innovation

 Southwest Medical University China

Luo Xiaoxue from Luzhou, Sichuan Province, China, is pursuing a Bachelor’s degree in Pediatrics at Southwest Medical University. She is actively involved in academic and extracurricular activities, serving as a volunteer team officer and class psychological counselor. Recognized for her leadership, she has won multiple school cultural competition awards and a class scholarship. With a strong passion for medicine, she has gained hands-on experience through internships in pediatric respiratory care and chronic disease management. Luo is also skilled in digital drawing and debugging tools, demonstrating versatility beyond her medical studies.

profile

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πŸŽ“ Education

Luo Xiaoxue enrolled at Southwest Medical University in September 2023 to study Pediatrics. Her academic journey is marked by a deep commitment to medical sciences and student welfare. She serves as a volunteer team officer, assisting faculty in organizing events, and as a class psychological counselor, offering emotional support to peers. Her dedication has earned her a class scholarship and the title of outstanding student leader. Actively participating in school cultural competitions, she has secured multiple awards. She also engages in experimental projects, enhancing her hands-on medical skills and scientific knowledge.

πŸ’Ό Experience

Luo Xiaoxue gained practical experience in pediatrics during her internship at the Affiliated Hospital of Southwest Medical University in July 2024, where she studied respiratory diagnosis, observed procedures like puncture and gastroscopy, and independently identified a hemophilia case. In January 2025, at Qingyun Health Center, she trained in chronic disease management, learning to operate diagnostic tools and assisting elderly patients with hypertension and diabetes. These experiences sharpened her communication and analytical skills, allowing her to translate medical complexities into patient-friendly explanations.

πŸ† Awards & Honors

Luo Xiaoxue has been recognized for her academic excellence and leadership. She received a class scholarship for outstanding academic performance and was honored as an outstanding student leader for her contributions to student welfare. Her active participation in school cultural competitions has led to multiple awards. She has also been acknowledged for her volunteer work in faculty activities and student mental health support, reflecting her commitment to both academic and social responsibilities.

πŸ”¬ Research Focus

Luo Xiaoxue’s research interests revolve around pediatric respiratory diseases and chronic illnesses in elderly patients. During her hospital internships, she explored diagnostic methodologies, leading to her independent identification of a hemophilia case. She is particularly interested in improving early detection and management of childhood respiratory disorders and elderly chronic conditions like hypertension and diabetes. Through her involvement in experimental projects, she aims to bridge the gap between clinical research and practical healthcare applications, enhancing patient outcomes.

Conclusion

Luo Xiaoxue possesses strong analytical, leadership, and research skills, making her a promising candidate for Excellence in Innovation in healthcare. With further involvement in structured research, technological advancements, and public speaking, she could significantly impact pediatric medical innovation.

Publication

Title: A Modified Second Toe Nail-Skin Flap for Refined Reconstruction of the Distal Index Finger Defect
Year: 2025
Author: Xiaoxue Luo

 

Nastaran Mehrabi Hashjin | Artificial intelligence | Best Researcher Award

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Mr. Nastaran Mehrabi Hashjin | Artificial intelligence | Best Researcher Award

Mr at Shahid beheshti university Iran

Nastaran Mehrabi Hashjin is a researcher and engineer with a background in control and electronic engineering. She specializes in AI, medical imaging, and brain-computer interfaces. With a focus on diagnosing Alzheimer’s disease and optimizing AI algorithms, she has published multiple articles in top-tier journals. Nastaran has also contributed to UAV monitoring and fault detection in power systems. A member of Iran’s National Elite Foundation, she actively engages in research on neural networks, optimization algorithms, and advanced medical data processing. She is proficient in programming, circuit design, and VLSI systems, showcasing her technical acumen.

Profile

Scopus

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Scholar

πŸŽ“ Education

Ph.D. Candidate, Control Engineering (2023-2024) Shahid Beheshti University, Tehran, Iran | Elite Foundation Member. M.Sc. in Control Engineering (2021-2024) Shahid Beheshti University, Tehran, Iran | GPA: 3.54/4.0 | Alzheimer’s diagnosis using neural networks. B.Sc. in Electronic Engineering (2016-2020) Shomal University, Amol, Iran | GPA: 3.52/4.0 | PIR sensor system design

πŸ’Ό Experience

Graduate: System Identification, Non-linear Control, Modern Systems. Undergraduate: Electromagnetism, Electrical Machines, Labs Engineer, Tarashe Pardazane Jahan. Designed electronic circuits for smart doors. Intern, Mazandaran Electric Company. Energy distribution monitoring and operational map updates.

πŸ† Awards and Honors

Member, Iran’s National Elite Foundation. Ph.D. admission via Elite Foundation. Certifications in neuroscience and medical imaging (TUMS). Advanced neuroscience and AI courses (Shahid Beheshti University)

πŸ”¬ Research Focus

AI-driven fault detection in power plants. Brain-computer interfaces and Alzheimer’s diagnostics. Optimization algorithms: Type-3 fuzzy logic, HO algorithm. Medical imaging: FSL, CONN, Freesurfer

🌟 Conclusion

Nastaran Mehrabi Hashjin is an exemplary candidate for the Best Researcher Award due to their innovative contributions to AI-driven fault diagnosis, optimization, and medical imaging. Their rigorous academic record, diverse expertise, and impactful publications make them a strong contender. Addressing minor gaps in global collaboration and community engagement will further enhance their standing as a leader in their field.

Publications πŸ“š

Bhanu Shrestha | Computer Science | Best Researcher Award

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Prof. Bhanu Shrestha | Computer Science | Best Researcher Award

Professor at Kwangwoon University, South Korea

Bhanu Shrestha is a Full Professor at Kwangwoon University, Korea. He holds expertise in electronic engineering with a background in various academic and professional roles, including Assistant and Associate Professorships at the same institution. A native of Nepal, he is passionate about research, education, and cultural exchange. Bhanu has also published books, research papers, and contributed to documentaries and music albums. His involvement extends to editorial positions, being Editor-in-Chief of the International Journal of Advanced Engineering since 2018. He is known for his academic and social contributions, particularly in the field of information technology and engineering.

 

Profile

Scopus

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 πŸŽ“ Education

Ph.D. in Electronic Engineering, Kwangwoon University, Seoul, Korea (2004-2008). M.S. in Electronic Engineering, Kwangwoon University, Seoul, Korea (2002-2004). B.S. in Electronic Engineering, Kwangwoon University, Seoul, Korea (1994-1998). S.L.C. from Bhim Secondary School, Dolakha, Nepal (1982)

πŸ’Ό Experience

Adjunct Professor, Kwangwoon University, Korea (2008-2011). Assistant Professor, Kwangwoon University, Korea (2011-2016). Associate Professor, Kwangwoon University, Korea (2016-2021). Full Professor, Kwangwoon University, Korea (2021-Present). Bhanu Shrestha has held various academic positions, contributing significantly to the field of electronic engineering and nurturing the next generation of engineers. He has also been involved in leadership roles in professional organizations.

πŸ† Awards and Honors

Achievement Award, IIBC Korea (2015). Best Paper Award, ISSAC 214 & ICACT 2014, IIBC, Seoul, Korea (2014). Excellent Paper Award, Korea Institute of Information Technology (2012). Certificate of Honorary Citizenship, Seong-buk District Office, Seoul, Korea (2012). Bellwave Excellent Paper Award, Korea Electromagnetic Engineering Society (2005). Vidhyabhusan Padak (Gold Medal), Nepal (2009) Bhanu has earned several prestigious awards, recognizing his academic excellence and contributions to research and development in engineering.

πŸ”¬ Research Focus

Bhanu Shrestha’s research interests include Internet of Things (IoT), artificial intelligence (AI), microelectromechanical systems (MEMS), and fuzzy logic applications in communication technology. His work also explores biosensors and nanotechnology for environmental remediation. As a guest editor for multiple journals, Bhanu’s research aims to push the boundaries of innovation in electronic engineering and its practical applications, particularly in smart systems and AI.

Conclusion

Bhanu Shrestha’s contributions to electronic engineering and technology, coupled with his leadership in academia, make him a highly deserving candidate for the Best Researcher Award. His accomplishments in publishing influential works, along with his global impact in the fields of artificial intelligence, IoT, and nanotechnology, showcase his research excellence. With continued collaboration and expansion into emerging areas, he is well-positioned to make even more significant strides in the scientific community, further cementing his legacy as a top researcher.

Publications πŸ“š

Ronny Mabokela | NLP and AI | Best Researcher Award

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Mr. Ronny Mabokela | NLP and AI | Best Researcher Award

PHD at University of Johannesburg, South Africa

Koena Ronny Mabokela is a South African computer scientist with a diverse background in technology and education. Currently pursuing a PhD in Computer Science at the University of the Witwatersrand, he has built a career focused on speech technology, system integration, and tech innovation. With years of experience as an educator, lecturer, and researcher, he also holds a leadership role at the University of Johannesburg, where he serves as Acting Deputy Head of Department and Head of the Technopreneurship Centre. Koena is passionate about fostering technological advancements, particularly in education and enterprise systems.

Profile

Scholar

πŸŽ“ Education

Koena Ronny Mabokela holds a PhD in Computer Science from the University of the Witwatersrand (2020-2024). He earned a Master of Science in Computer Science with a focus on Speech Technology at the University of Limpopo (2012-2014). His academic journey includes a Bachelor of Science Honours in Computer Science (2011) and a Bachelor of Science in Computer Science and Mathematics (2008-2010), both from the University of Limpopo.

πŸ’Ό Experience

Mabokela’s career spans various leadership and academic roles. He is currently the Acting Deputy HoD for CEPs/SLPs and Online at the University of Johannesburg. Previously, he served as the Head of the Technopreneurship Centre, managing strategy, projects, and research. He has taught various programming modules and supervised postgraduate students while conducting research and engaging in community development. His professional experience also includes roles at Vodacom and Telkom in business systems integration and product development.

πŸ† Awards and Honors

Mabokela has received numerous accolades, including being a session chair for SATNAC 2014 and a peer reviewer for prestigious conferences like IEEE and SATANC. He has also contributed to the scientific community with his published research in areas such as sentiment analysis and AI for under-resourced languages. His leadership skills and contributions to innovation have been recognized throughout his academic and professional career.

πŸ”¬ Research Focus

Koena Mabokela’s research interests revolve around speech technology, AI, and multilingual sentiment analysis, particularly for under-resourced languages. He focuses on enhancing language identification and sentiment analysis systems for South African languages. His work includes exploring distant supervision approaches and applying AI to tackle social challenges, as seen in his published papers and presentations at international conferences. His research aims to bridge technological gaps in underrepresented languages and communities.

Conclusion

Koena Ronny Mabokela is an outstanding researcher with a diverse and impactful portfolio that bridges academia and industry. His extensive experience, leadership in academic development, and commitment to advancing knowledge in computer science and technology position him as a top candidate for the Best Researcher Award. While there are opportunities to expand his interdisciplinary work and enhance the practical impact of his research, his contributions to the academic community and the field of technology are significant. His future work promises to continue shaping the landscape of digital innovation and research.

Publications πŸ“š

Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

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Dr. Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

Researcher at Bournemouth University,  United Kingdom

Dr. Samira Al-Nasser is an accomplished engineering professional and educator with a strong background in biomedical engineering and a focus on integrating machine learning for healthcare applications. Currently, as an Engineering Manager at Testlink, she leads a team specializing in ATM repair and design, while her research focuses on advanced sensor technology for joint load balancing during knee replacements. Dr. Al-Nasser has extensive experience in academia, holding positions as a Lecturer and Demonstrator at Bournemouth University. She is also actively involved in the Women in STEM Society and holds leadership roles promoting diversity in STEM.

Profile

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Scholar

Education πŸŽ“

Dr. Al-Nasser earned a Ph.D. from Bournemouth University, focusing on the design and validation of load sensors for joint replacements, applying skills across mechanical and electrical engineering, machine learning, and material sciences. She previously graduated with first-class honors (84.2%) in Biomedical Engineering from German Jordanian University, specializing in biomedical instrumentation and signal processing. Her academic journey reflects a dedication to merging engineering principles with medical technology to improve patient outcomes, a commitment she continues through publications and research initiatives.

Experience πŸ’Ό

Dr. Al-Nasser’s career spans various roles, including her current position as Engineering Manager at Testlink, where she manages teams in ATM repair. Previously, she was a Lecturer and Demonstrator at Bournemouth University, focusing on design simulation and lab instruction. Her early career includes research assistant roles and biomedical internships at Abdali Medical Center and The Specialty Hospital in Jordan, where she supported medical equipment maintenance and installations. These roles underscore her diverse expertise in engineering management, education, and applied medical research.

Awards and Honors πŸ†

Dr. Al-Nasser has been recognized for her contributions to engineering and diversity, receiving the AdvanceHE Associate Fellowship for Teaching, which highlights her academic impact. She serves as a PGR Representative for the Athena SWAN Charter on Diversity and Inclusion and is an active member of the Women in STEM Society at Bournemouth University. Her accolades include awards for outstanding academic presentations at conferences, showcasing her dedication to advancing biomedical engineering and diversity in the engineering field.

Research Focus πŸ”

Dr. Al-Nasser’s research centers on AI applications in orthopedic engineering, particularly in designing intelligent sensors for intraoperative load balancing during knee replacements. She investigates piezoelectric sensor technologies and machine learning-based load prediction models to enhance joint stability and improve surgical outcomes. Her work combines biomechanics, AI-driven signal processing, and biomedical device innovation, aiming to elevate precision in joint replacement surgeries and contribute to the broader field of smart healthcare technology.

Conclusion πŸ†

Dr. Samira Al-Nasser is a strong contender for the Young Scientist Award. Her unique blend of research achievements, interdisciplinary expertise, and dedication to diversity and teaching makes her a rising star in biomedical engineering. With further growth in her collaborative network and research funding, Dr. Al-Nasser has the potential to make significant contributions to medical device innovation and healthcare technology. She exemplifies the qualities of a young scientist capable of driving impactful advancements in both academic and applied research domains.

Publications Top Notes

  1. Gait analysis of a kinematic retaining implant for Total knee replacements during walking and running
    • Journal: Journal of Orthopaedics
    • Date: 2024-10
    • DOI: 10.1016/j.jor.2024.02.025
    • Contributors: Adrian Harvey, Suraj Kohli, Samira Al-Nasser, Siamak Noroozi

 

  1. WITHDRAWN: Cadaveric Testing of a Novel Intraoperative Load Sensor for Soft-tissue balancing during Total Knee Replacements
    • Journal: Journal of Orthopaedic Reports
    • Date: 2024-07
    • DOI: 10.1016/j.jorep.2024.100448
    • Contributors: Samira Al-Nasser, Saimak Noroozi, Adrian Harvey, Roya Haratian

 

  1. Design of a Novel Intraoperative Sensor for Load Balancing and Tracking during Total Knee Replacements

 

  1. Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements
    • Journal: Sensors
    • Date: 2024-01-17
    • DOI: 10.3390/s24020585
    • Contributors: Samira Al-Nasser, Siamak Noroozi, Adrian Harvey, Navid Aslani, Roya Haratian

 

 

ABEL YU HAO CHAI | DEEP LEARNING | BEST RESEARCHER AWARD

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Mr. ABEL YU HAO CHAI | DEEP LEARNING | BEST RESEARCHER AWARD

PHD at SWINBURNE UNIVERSITY OF TECHNOLOGY SARAWAK CAMPUS Malaysia

Abel Chai Yu Hao is a PhD candidate at Swinburne University of Technology Sarawak, specializing in computer vision, machine learning, and deep learning. His research focuses on developing interpretable deep learning models for plant disease identification, collaborating with CIRAD and INRIA on innovative agricultural projects. With a Master’s degree in wireless communication, Abel has contributed to improving rural connectivity in Sarawak through cost-effective wireless solutions. He has co-authored numerous journal articles and conference papers on topics ranging from unseen plant disease recognition to wireless data transmission. Abel is a recipient of multiple awards, including the Gold Award at the Innovation Technology Exposition 2023, and is an active IEEE member.

scholar

πŸŽ“ Education

Doctor of Philosophy (2022 – Present) Swinburne University of Technology Sarawak Campus Research focus: Computer Vision, Machine Learning, Deep Learning, AI. Master of Engineering (2019 – 2021) Swinburne University of Technology Sarawak Campus Research focus: Wireless communication, Wi-Fi, Rural connectivity. Bachelor of Engineering (Honours), Electrical & Electronics Engineering (2014 – 2018) Swinburne University of Technology Sarawak Campus CGPA: 3.97/4 (High Distinction)

🏫 Professional Experience

Teaching Assistant (2019 – Present) Swinburne University of Technology Sarawak Campus Assisting in course delivery, tutorials, and research guidance

πŸ† Awards & Scholarships

Gold Award in Innovation Technology Exposition (2023). Best Paper Award at International UNIMAS Engineering Conference (EnCon) (2020). Sarawak Energy External Scholarship (2015-2018). Swinburne Entrance Scholarship (2014)

🌱 Research Projects

Plant Disease Identification with Deep Learning (2022 – ongoing) Collaborating with experts from CIRAD, INRIA, focusing on AI-based plant disease detection. Rural Internet Connectivity Solutions (2019 – 2021) Conducted cost-performance analysis for wireless solutions in partnership with Sarawak Multimedia Authority (SMA)

Publication

  • Pairwise Feature Learning for Unseen Plant Disease Recognition
    Conference: International Conference on Image Processing (ICIP)
    Year: 2023
    Pages: 306–310
    Contributors: Hao Chai A.Y., Han Lee S., Tay F.S., Bonnet P., Joly A.

 

  • Unveiling Robust Feature Spaces: Image vs. Embedding-Oriented Approaches for Plant Disease Identification
    Conference: Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
    Year: 2023
    Pages: 666–673
    Contributors: Ishrat H.A., Chai A.Y.H., Lee S.H., Then P.H.H.

 

  • Development and Application of Outdoor Router Cost Estimation with Parametric Modelling Technique
    Conference: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    Year: 2022
    Contributors: Chai A.Y.H., Lai C.H., Tay F.S., Lim N.C.Y., Vithanawasam C.K.

 

  • Model Study for Outdoor Data Transmission Performance
    Conference: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
    Year: 2022
    Contributors: Chai A.Y.H., Then Y.L., Tay F.S., Lim N.C.Y., Vithanawasam C.K.

 

  • Parametric Model Study for Outdoor Routers Cost Estimation
    Conference: 13th International UNIMAS Engineering Conference (EnCon)
    Year: 2020
    Contributors: Hao Chai A.Y., Hung Lai C., Su H.T., Siang Tay F., Yong L.

πŸ† Conclusion:

Abel Chai Yu Hao is a highly qualified candidate for the Best Researcher Award, given his solid academic background, impactful publications, international collaborations, and ongoing contributions to the field of AI and wireless communication. With continuous focus on expanding his research and increasing engagement, his profile can only continue to rise.

Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

Posted on by ScienceFather

Ms. Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

Lecturer at  University of Sri Jayewardenepura, Sri Lanka 

M.C. Akarshani Amarasinghe is an accomplished academic and researcher pursuing a PhD in Computer Engineering at the University of Sri Jayewardenepura, Sri Lanka. With a strong background in machine learning, image processing, and drone technology, her work focuses on innovative solutions for public health and agriculture. She has contributed to impactful research projects, such as identifying dengue mosquito breeding sites via drones and optimizing pesticide usage in arable lands. Alongside her research, Akarshani has extensive teaching experience, is a mentor for Google Summer of Code, and holds several prestigious awards for her research excellence.

Publication profile

Scholar

πŸŽ“ Higher Education

01.2024 – Present PhD in Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka Supervisors: Dr. Udaya Wijenayake, Prof. K.L. Jayaratne Research: Path planning algorithm for achieving multiple goals.. 2011 – 2016. BSc (Hons) in Computer Science, University of Colombo School of Computing, Sri Lanka Second Class Upper Division (3.25/4 – Four-Year Program)

πŸ”¬ Recent Research

D4D (Drone for Dengue) Sustainable Computing Research Group, University of Colombo School of Computing. Research on machine learning and image processing for identifying dengue mosquito breeding sites via drone images. Advisors: Prof. T.N.K. De Zoysa, Dr. C.I. Keppitiyagama. 2017 – Present GitHub Project

πŸ§‘β€πŸ« Teaching Experience

03.02.2020 – Present Lecturer, Department of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka Subjects: Operating Systems, Data Mining, Natural Language Processing, Quality Engineering, Compilers.01.01.2019 – 31.01.2020 Assistant Lecturer, Department of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology Subjects: Software Engineering Concepts, Programming, Distributed Systems. 01.02.2018 – 30.12.2018 Assistant Lecturer, University of Colombo School of Computing Subjects: Programming Using C, Data Structures, Operating Systems. 2018 Visiting Lecturer, National Institute of Business Management, Sri Lanka Subject: Image Processing. 02.01.2018 – 01.02.2018 Instructor, University of Colombo School of Computing

πŸ… Awards and Achievements

2023 Student Research Project of the Year at the National ICT Awards, NBQSA 2023. 2022 Best Paper in AI and ML Track, ICARC 2022. 2019 N2Women Travel Grant to attend ACM SenSys 2019. 2017 N2Women Travel Grant to attend MobiSys Women’s Workshop

🏒 Professional Service

2023 – Present Treasurer, Past Pupils’ Association, Sadhu Daham Pasala, Sri Lanka. 2015 – Present Committee Member, Thumbowila Api Welfare Society. 2012 – 2016 Committee Member, AIESEC Colombo – South

Publication

  1. Identifying mosquito breeding sites via drone images
    Authors: C Suduwella, A Amarasinghe, L Niroshan, C Elvitigala, K De Zoysa, …
    Conference: Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems
    Year: 2017
    Citations: 29

 

  1. A machine learning approach for identifying mosquito breeding sites via drone images
    Authors: A Amarasinghe, C Suduwella, C Elvitigala, L Niroshan, RJ Amaraweera, …
    Conference: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
    Year: 2017
    Citations: 15

 

  1. Suppressing dengue via a drone system
    Authors: A Amarasinghe, C Suduwella, L Niroshan, C Elvitigala, K De Zoysa, …
    Conference: 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions
    Year: 2017
    Citations: 15

 

  1. A swarm of crop spraying drones solution for optimizing safe pesticide usage in arable lands
    Authors: A Amarasinghe, VB Wijesuriya, D Ganepola, L Jayaratne
    Conference: Proceedings of the 17th Conference on Embedded Networked Sensor Systems
    Year: 2019
    Citations: 10

 

  1. A path planning algorithm for an autonomous drone against the overuse of pesticides
    Authors: A Amarasinghe, VB Wijesuriya, L Jayaratne
    Conference: 2021 10th International Conference on Information and Automation for Sustainability
    Year: 2021
    Citations: 5

 

  1. Drones vs dengue: a drone-based mosquito control system for preventing dengue
    Authors: A Amarasinghe, VB Wijesuriya
    Conference: 2020 RIVF International Conference on Computing and Communication Technologies
    Year: 2020
    Citations: 4

 

  1. Stimme: a chat application for communicating with hearing impaired persons
    Authors: A Amarasinghe, VB Wijesuriya
    Conference: 2019 14th Conference on Industrial and Information Systems (ICIIS)
    Year: 2019
    Citations: 4

βœ… Conclusion

M.C. Akarshani Amarasinghe is an excellent candidate for the Research for Young Scientist Award. Her innovative contributions to drone technology for health and agriculture, leadership roles, and technical skills make her stand out. With continued expansion of her research portfolio and international exposure, she has the potential to achieve even greater recognition in the future.