Mlungisi Ntombela | Internet of Things (IoT) | Innovative Research Award

Innovative Research Award

Mlungisi Ntombela
Durban University of Technology (DUT), South Africa

Mlungisi Ntombela
Affiliation Durban University of Technology (DUT)
Country South Africa
Scopus ID 57558503600
Documents 14
Citations 194
h-index 5
Subject Area Electrical Engineering, Artificial Intelligence, Smart Grids, Electric Vehicles, Internet of Things
Event Global Sensor Awards
ORCID 0000-0001-6428-0257

Mlungisi Ntombela is a South African electrical engineer, academic researcher, lecturer, and certified engineering professional whose work bridges industrial engineering practice and advanced academic research. His expertise spans electrical power systems, artificial intelligence applications in smart grids, power system optimization, distributed generation integration, electric vehicles, reliability engineering, and project management. Through a combination of engineering leadership, research innovation, and higher education contributions, he has established a multidisciplinary profile that supports both technological advancement and engineering education.[1]

Abstract

This academic recognition article presents the professional achievements, research contributions, and engineering leadership of Dr. Mlungisi Eric Ntombela. His work integrates industrial engineering practice with advanced research in electrical power systems, smart grids, distributed generation, artificial intelligence optimization algorithms, and electric vehicle integration. His contributions include peer-reviewed publications, project engineering leadership, higher education teaching, and the development of innovative methodologies for power loss reduction and voltage profile enhancement in modern electrical networks.[2]

Keywords

Electrical Engineering, Smart Grids, Artificial Intelligence, Optimization Algorithms, Distributed Generation, Electric Vehicles, Power Systems, Reliability Engineering, Power Quality, Energy Systems, Research Innovation, Engineering Education, Project Engineering, Sustainable Energy.

Introduction

Dr. Ntombela’s career demonstrates a balanced integration of industrial engineering experience and academic scholarship. Holding a Doctor of Engineering in Electrical Engineering and a Government Certificate of Competency (Factories), he has contributed significantly to both utility-scale engineering operations and university-level education. His professional experience includes maintenance engineering, reliability management, risk assessment, project execution, research supervision, and curriculum development. These combined experiences have enabled him to address practical engineering challenges while advancing scientific knowledge in electrical power systems.[1]

Research Profile

The research activities of Dr. Ntombela focus primarily on electrical power system optimization, artificial intelligence applications in smart grids, distributed generation placement, electric vehicle integration, power quality improvement, and sustainable energy management. His academic work has investigated advanced hybrid optimization algorithms capable of minimizing network losses while improving voltage stability and operational efficiency in electrical distribution systems.[3]

Beyond research, he actively contributes to engineering education through lecturing, laboratory instruction, curriculum modernization aligned with Fourth Industrial Revolution (4IR) technologies, and mentoring of engineering students. His interdisciplinary perspective supports the integration of industry-driven solutions within academic environments.[4]

Research Contributions

  • Development and evaluation of optimization techniques for power network reconfiguration.
  • Research on distributed generation sizing and placement for power loss minimization.
  • Application of artificial intelligence hybrid algorithms in smart grid optimization.
  • Comprehensive studies on electric vehicle integration into modern power systems.
  • Voltage profile improvement methodologies for sustainable electricity networks.
  • Contributions to battery electric vehicle drive circuit technologies and operational analysis.
  • Research on renewable energy distributed generation and smart grid interoperability.
  • Engineering project management and reliability-centered maintenance methodologies.

Publications

  • Review of Optimization Techniques for Power Network Reconfiguration (SAUPEC 2022).
  • Power Loss Minimization and Voltage Profile Improvement by Distributed Generation Sizing and Placement (PowerAfrica 2022).
  • Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement. Computation, 2022.
  • Artificial Intelligent Hybrid Algorithm Used for System Reconfiguration to Minimize Power Losses in the Distribution System.
  • Load Profile and Load Flow Analysis for a Grid System with Electric Vehicles Using a Hybrid Optimization Algorithm. Sustainability, 2023.
  • Reduction of Power Losses and Voltage Profile Improvement in a Smart Grid Incorporated with Electric Vehicles. Sustainability, 2023.
  • A Comprehensive Review of the Incorporation of Electric Vehicles and Renewable Energy Distributed Generation Regarding Smart Grids. World Electric Vehicle Journal, 2023.
  • A Comprehensive Review for Battery Electric Vehicles (BEV) Drive Circuits Technology, Operations, and Challenges. World Electric Vehicle Journal, 2023.

Research Impact

The research contributions of Dr. Ntombela address critical challenges associated with energy efficiency, renewable energy integration, electrical network optimization, and transportation electrification. His published studies provide analytical frameworks and computational techniques that support the development of resilient and sustainable power systems. These contributions are particularly relevant to emerging smart grid infrastructures and the increasing adoption of electric mobility technologies worldwide.[5]

In addition to scholarly outputs, his industrial experience in project engineering, risk-based inspection, reliability-centered maintenance, and operational management provides practical relevance to his research, strengthening the applicability of his findings in real-world engineering environments.[1]

Award Suitability

Dr. Mlungisi Eric Ntombela demonstrates strong suitability for recognition within engineering, energy systems, smart grid technologies, and applied artificial intelligence award categories. His profile combines advanced academic qualifications, impactful scientific publications, industrial engineering leadership, teaching excellence, and interdisciplinary innovation. His contributions align closely with the objectives of awards recognizing research excellence, technological innovation, sustainability, engineering leadership, and emerging contributions to future energy systems.[2]

Conclusion

Dr. Mlungisi Eric Ntombela represents a new generation of engineering professionals whose expertise spans industry practice, academic scholarship, and technological innovation. Through his work in electrical engineering, artificial intelligence, smart grids, and electric vehicle integration, he has contributed to advancing knowledge while addressing practical challenges facing modern energy systems. His combination of research productivity, engineering leadership, and educational service positions him as a notable contributor within the fields of electrical engineering and sustainable energy development.

References

  1. Ntombela, M. E. Professional Curriculum Vitae and Academic Profile.
  2. Ntombela, M., Musasa, K., & Leoaneka, M.C. (2022). Review of Optimization Techniques for Power Network Reconfiguration.
    https://doi.org/10.1109/SAUPEC55179.2022.9730628
  3. Ntombela, M., Musasa, K., & Leoaneka, M.C. (2022). Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement.
    https://doi.org/10.3390/computation10100180
  4. Durban University of Technology. Academic Teaching and Research Activities.
  5. Ntombela, M., Musasa, K., & Moloi, K. (2023). A Comprehensive Review of the Incorporation of Electric Vehicles and Renewable Energy Distributed Generation Regarding Smart Grids.
    https://doi.org/10.3390/wevj14070176

Hamza Abubakar | Body Area Network | Innovative Research Award

Innovative Research Award

HAMZA ABUBAKAR, PhD
Department of Mathematics, Isa Kaita College of Education, Dutsin-Ma, Nigeria

HAMZA ABUBAKAR
Affiliation Isa Kaita College of Education
Country Nigeria
Scopus ID 57217009001
Documents 30
Citations 350
h-index 9
Subject Area Applied Mathematics, Financial Mathematics, Neural Networks, Body Area Network
Event Global Sensor Awards
ORCID
0000-0002-9451-0401

Hamza Abubakar is a Nigerian applied mathematician and academic researcher specializing in financial mathematics, optimization algorithms, neural networks, and statistical modelling. He has contributed extensively to interdisciplinary mathematical research through scholarly publications, conference presentations, academic leadership, and funded research initiatives. His work integrates advanced computational techniques with applied statistical frameworks for solving practical problems in finance, engineering, healthcare analytics, and artificial intelligence.[1]

Abstract

This academic article presents the scholarly profile and research achievements of Hamza Abubakar, an applied mathematician with expertise in financial mathematics, neural networks, optimization algorithms, and statistical modelling. Over a professional academic career spanning more than fifteen years, he has contributed to higher education, interdisciplinary research, curriculum development, and mathematical applications in finance and artificial intelligence. His publications and conference presentations demonstrate sustained contributions to optimization theory, stochastic modelling, and machine learning-based analytical systems. His work has received visibility through peer-reviewed international journals and collaborative research activities across Nigeria and Malaysia.[2]

Keywords

Applied Mathematics; Financial Mathematics; Neural Networks; Optimization Algorithms; Statistical Modelling; Machine Learning; Risk Assessment; Weibull Distribution; Hopfield Neural Networks; Artificial Intelligence; Computational Mathematics; Mathematical Modelling.

Introduction

Applied mathematics continues to play an essential role in solving real-world scientific and financial challenges through computational modelling and algorithmic optimization. Researchers working at the intersection of mathematics, artificial intelligence, and financial analytics contribute significantly to modern predictive systems and decision-making frameworks. Hamza Abubakar has developed a research portfolio focused on the application of mathematical optimization techniques and intelligent computational models to finance, risk prediction, healthcare classification systems, and statistical estimation problems.[3]

His academic progression from assistant lecturer to principal lecturer reflects sustained professional growth and commitment to mathematics education and research leadership. In addition to teaching and supervision responsibilities, he has participated actively in professional associations and interdisciplinary collaborations within computational mathematics and artificial intelligence.[4]

Research Profile

Hamza Abubakar obtained his Bachelor of Science in Mathematics Education from the University of Abuja in 2006, followed by a Master of Science degree in Financial Mathematics from the same institution in 2015. He later completed a Doctor of Philosophy degree in Applied Mathematics at Universiti Sains Malaysia in 2022.[5]

His academic and professional engagements include positions at Isa Kaita College of Education, Annahda International University, Universiti Sains Malaysia, and Universiti Utara Malaysia. These appointments enabled him to contribute to teaching, research mentoring, curriculum implementation, and international academic collaboration across mathematics and quantitative sciences disciplines.[6]

Research Contributions

The research contributions of Hamza Abubakar are concentrated on optimization algorithms, generalized linear models, neural network systems, and probabilistic modelling techniques. His studies on Weibull and Gamma distribution parameter estimation introduced optimization-based frameworks that integrate heuristic and artificial intelligence algorithms for statistical inference.[2]

His publications also investigate the application of Hopfield neural networks and satisfiability logic in intelligent classification systems. These studies contribute to computational intelligence by combining neural computation with optimization strategies for financial risk prediction and healthcare-related classification tasks.[3]

Publications

The publication profile of Hamza Abubakar includes peer-reviewed journal articles, conference proceedings, books, and book chapters addressing applied mathematics, computational intelligence, optimization theory, and financial analytics.[5]

  • Abubakar, H., & Sayed, A. A. I. (2025). Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks. Journal of Applied Statistics, 52(14), 1–33.
  • Abubakar, H. (2025). Random Satisfiability Logic-Driven Approach in Hopfield Neural Networks. International Journal of Applied and Computational Mathematics, 11(3), 117.
  • Ali, G. A., Abubakar, H., et al. (2023). Artificial dragonfly algorithm in the Hopfield neural network. PLOS ONE, 18(9), e0286874.
  • Abubakar, H., & Sabri, S. R. M. (2023). A Bayesian Approach to Weibull Distribution. Journal of Reliability and Statistical Studies, 16(01), 1–24.
  • Abubakar, H., & Madugu, A. (2025). Fundamentals of Mathematics in Finance: A Guide to Undergraduate Financial Mathematics. Ahmadu Bello University Press.

Research Impact

The research activities of Hamza Abubakar demonstrate interdisciplinary impact through the integration of mathematical theories with computational intelligence systems. His work contributes to broader developments in financial analytics, predictive modelling, and optimization-based machine learning approaches. Several of his studies have been indexed in internationally recognized journals and databases, increasing accessibility and scholarly visibility.[1]

In addition to research output, he has secured multiple institutional research grants under the TETFUND Institutional Based Research programme and contributed to academic administration and mentoring within the mathematics community in Nigeria.[1]

Award Suitability

Hamza Abubakar demonstrates suitability for recognition in applied mathematics and computational research due to his sustained academic contributions, interdisciplinary research portfolio, leadership in mathematics education, and involvement in international collaborations. His scholarly activities reflect a balance between theoretical mathematical development and practical computational applications.[2]

His publication record, funded projects, editorial roles, and conference participation collectively indicate active engagement in advancing quantitative sciences and intelligent computational systems. These contributions align with the objectives of international research excellence and innovation awards recognizing impactful academic scholarship.[3]

Conclusion

Hamza Abubakar has established a professional and scholarly profile grounded in applied mathematics, optimization techniques, financial modelling, and neural network systems. Through academic teaching, interdisciplinary research, conference engagement, and institutional leadership, he has contributed meaningfully to the advancement of quantitative sciences and computational methodologies. His body of work reflects ongoing dedication to mathematical innovation, research excellence, and higher education development within both regional and international academic communities.

References

  1. Elsevier. (n.d.). Scopus author details: HAMZA ABUBAKAR, Author ID 57217009001. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57217009001
  2. ORCID. (n.d.). HAMZA ABUBAKAR researcher profile.
    https://orcid.org/0000-0002-9451-0401
  3. Abubakar, H., & Sayed, A. A. I. (2025). Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks. Journal of Applied Statistics.
  4. Abubakar, H. (2025). Random Satisfiability Logic-Driven Approach in Hopfield Neural Networks. International Journal of Applied and Computational Mathematics.
  5. Universiti Sains Malaysia. (2022). Doctor of Philosophy in Applied Mathematic

Jyoti Batra | Biological Sensors | Best Researcher Award

Best Researcher Award

Jyoti Batra, Gladstone Institutes, United States

Jyoti Batra
Affiliation Gladstone Institutes
Country United States
Scopus ID 56661930400
Documents 21
Citations 6,072
h-index 16
Subject Area Molecular Virology, Proteomics, Functional Genomics
Event Global Sensor Awards
ORCID 0000-0002-2335-0607

Jyoti Batra is a molecular virologist and proteomics researcher recognized for contributions to the understanding of virus–host interaction networks, immune evasion mechanisms, and cross-species viral transmission. Her research integrates systems-level molecular sensing approaches with advanced proteomic technologies to investigate emerging RNA viruses, including Ebola virus, influenza virus, and SARS-CoV-2. Her work has contributed to the identification of host restriction factors, therapeutic targets, and molecular determinants associated with zoonotic risk and viral pathogenesis.[1]

Abstract

Jyoti Batra’s research portfolio focuses on molecular virology, systems biology, and host–pathogen interactions. Her studies employ affinity purification mass spectrometry, interaction mapping, CRISPR-based methodologies, and functional genomics to characterize how viruses manipulate host cellular systems. Her work has contributed to understanding immune evasion, viral replication, mitochondrial targeting, and cross-species adaptation in major viral pathogens. Publications in journals such as Cell, Nature, Science, EMBO Journal, and Cell Host & Microbe demonstrate the translational and scientific relevance of her contributions.[2]

Keywords

  • Molecular Virology
  • Virus–Host Interactions
  • Proteomics
  • Functional Genomics
  • SARS-CoV-2
  • Ebola Virus
  • Influenza Virus
  • Immune Evasion
  • Cross-Species Transmission
  • Systems Biology

Introduction

The study of virus–host interactions has become increasingly important in understanding the emergence of infectious diseases and pandemic preparedness. Jyoti Batra has contributed extensively to this field through interdisciplinary research integrating virology, molecular biology, and systems-level proteomics. Her investigations into host restriction factors and viral immune evasion mechanisms have expanded current knowledge regarding zoonotic transmission and viral adaptation in mammalian hosts.[3]

Her research career includes appointments at Gladstone Institutes and Georgia State University, where she participated in collaborative international studies involving emerging viral pathogens. These studies have influenced ongoing research in antiviral drug development, host-targeted therapeutic strategies, and viral systems biology.[4]

Research Profile

Jyoti Batra serves as a Staff Research Scientist at Gladstone Institutes in San Francisco, California. Her expertise includes proteomics-based molecular sensing, interaction network analysis, molecular cloning, RNA sequencing, CRISPR technologies, viral infection assays, and computational analysis platforms such as Cytoscape and MaxQuant.[5]

She completed doctoral training in molecular virology through Monash University Malaysia and the International Centre for Genetic Engineering and Biotechnology in India. Earlier academic training in biochemistry was completed at the University of Delhi. Her educational and research trajectory reflects sustained engagement with infectious disease biology and molecular mechanisms of viral replication.[6]

Research Contributions

Batra’s research has significantly contributed to understanding how viruses interact with host proteins and cellular pathways. Her investigations into Ebola virus replication identified host regulators such as RBBP6 and uncovered non-canonical protein interactions associated with viral RNA synthesis and immune modulation.[1]

Her collaborative work during the COVID-19 pandemic contributed to landmark proteomic and phosphoproteomic studies that mapped SARS-CoV-2 interactions with host cellular machinery. These studies identified host proteins associated with viral replication and provided insight into potential therapeutic targets and antiviral intervention strategies.[3]

A notable recent contribution involved comparative coronavirus interaction mapping in bat and human cells, revealing network rewiring mechanisms associated with immune evasion and zoonotic potential. The work identified amino acid substitutions functioning as molecular switches that altered mitochondrial targeting and host interaction profiles across species.[1]

  • Development of cross-species interactome mapping platforms.
  • Identification of host restriction factors in bat cells.
  • Discovery of host proteins regulating Ebola virus infection.
  • Proteomic analyses of SARS-CoV-2 infection pathways.
  • Research on influenza virus nuclear import and apoptosis pathways.

Publications

Jyoti Batra has authored and co-authored numerous peer-reviewed publications in internationally recognized scientific journals. Several publications have been associated with high-impact discoveries in virology, systems biology, and host-pathogen interaction mapping.[5]

  1. Batra J. et al. Coronavirus protein interaction mapping in bat and human cells reveals network rewiring governing immune evasion and zoonotic potential. Cell Host & Microbe, 2026.
  2. Batra J. et al. Non-canonical proline-tyrosine interactions with multiple host proteins regulate Ebola virus infection. EMBO Journal, 2021.
  3. Bouhaddou M. et al. The Global Phosphorylation Landscape of SARS-CoV-2 Infection. Cell, 2020.
  4. Gordon D.E. et al. Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms. Science, 2020.
  5. White K.M. et al. Plitidepsin has potent preclinical efficacy against SARS-CoV-2 by targeting the host protein eEF1A. Science, 2021.

Research Impact

The scientific contributions of Jyoti Batra have influenced contemporary research on emerging infectious diseases and host-targeted antiviral strategies. Her collaborative studies have been widely referenced within the scientific community and have contributed to advancing systems-level approaches in virology research.[1]

Her work on coronavirus interaction networks and proteomics has provided foundational datasets for understanding viral immune evasion and therapeutic targeting. These contributions have supported multidisciplinary collaborations across virology, structural biology, computational biology, and translational medicine.[2]

Award Suitability

Jyoti Batra’s research achievements demonstrate suitability for recognition in the fields of molecular virology, proteomics, and infectious disease biology. Her interdisciplinary investigations have contributed to the scientific understanding of viral evolution, host adaptation, and immune regulation. The breadth of her publication record, participation in high-impact international collaborations, and contributions to emerging virus research collectively support her recognition within academic and scientific award frameworks.[3]

  • Extensive expertise in virus–host interaction biology.
  • High-impact publications in internationally recognized journals.
  • Contributions to pandemic-related virology research.
  • Leadership in interdisciplinary scientific collaborations.
  • Advanced methodological contributions in proteomics and genomics.

Conclusion

Jyoti Batra has established a research profile characterized by interdisciplinary innovation, methodological rigor, and impactful contributions to molecular virology. Her work has advanced scientific understanding of host–virus interactions across several major viral pathogens and has contributed to the broader field of infectious disease research. Through collaborative and translational research initiatives, she continues to contribute to the development of systems-level approaches for studying viral pathogenesis and immune evasion.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Jyoti Batra, Author ID 56661930400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56661930400
  2. Batra J. et al. (2026). Coronavirus protein interaction mapping in bat and human cells reveals network rewiring governing immune evasion and zoonotic potential. Cell Host & Microbe.
    https://doi.org/10.1016/j.chom.2026.04.015
  3. Batra J. et al. (2021). Non-canonical proline-tyrosine interactions with multiple host proteins regulate Ebola virus infection. EMBO Journal.
  4. Gordon D.E. et al. (2020). Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms. Science.
  5. Gladstone Institutes. (n.d.). Research activities and institutional profile.
    https://www.gladstone.org/

Monica Mir | Biological Sensors | Innovative Research Award

Innovative Research Award

Mònica Mir – Institute for Bioengineering of Catalonia (IBEC), Biomedical Research Center in Bioengineering (CIBER-bbn), and University of Barcelona, Spain

Mònica Mir
Affiliation IBEC, CIBER-bbn, University of Barcelona
Country Spain
Scopus ID 12647442200
Documents 60
Citations 2,256
h-index 22
Subject Area Biomedical Engineering, Biosensors, Organ-on-a-Chip
Event Global Sensor Awards
ORCID 0000-0002-1490-8373

Mònica Mir is a Spanish biomedical engineer and researcher recognized for her contributions to biosensors, microfluidic systems, point-of-care diagnostics, and organ-on-a-chip technologies. Her interdisciplinary research integrates bioengineering, nanotechnology, and translational medicine to improve disease diagnostics and develop advanced in vitro disease models for neurological and neurodegenerative disorders.[1] She has contributed extensively to blood-brain barrier-on-a-chip systems, electrochemical biosensors, and neurovascular modeling platforms designed for personalized medicine and pharmaceutical evaluation.[2]

Abstract

This academic article presents the scientific profile and research accomplishments of Dr. Mònica Mir, a senior researcher specializing in biomedical engineering and biosensor technologies. Her work focuses on translational bioengineering approaches for disease diagnosis, monitoring, and advanced in vitro modeling systems. Dr. Mir has contributed significantly to the development of electrochemical biosensors, blood-brain barrier-on-a-chip systems, neurovascular models, and implantable sensing devices. Her collaborative and interdisciplinary research has supported advances in personalized medicine, neurodegenerative disease studies, and point-of-care technologies.[3]

Keywords

Biomedical Engineering; Biosensors; Organ-on-a-Chip; Blood-Brain Barrier; Microfluidics; Electrochemical Sensors; Point-of-Care Systems; Neuroengineering; Nanobiotechnology; Translational Medicine; Alzheimer’s Disease; Personalized Medicine

Introduction

The integration of bioengineering and nanotechnology has transformed modern healthcare research by enabling sophisticated diagnostic and therapeutic platforms. Among the leading contributors in this field is Dr. Mònica Mir, whose research addresses the need for reliable biosensing systems and physiologically relevant disease models.[4] Her scientific contributions are particularly relevant to neurological diseases, blood-brain barrier functionality, and organ-on-a-chip technologies designed to emulate complex biological environments.[5]

Dr. Mir’s academic journey includes training in analytical chemistry, chemical engineering, biotechnology, and biosensor technologies at institutions including the Universitat Rovira i Virgili, the University of Bath, and the Max Planck Institute. Her multidisciplinary expertise has enabled her to bridge engineering methodologies with biomedical applications.[1]

Research Profile

Dr. Mir currently serves as a Consolidated Senior Researcher at the Biomedical Research Center in Bioengineering (CIBER-bbn) and as Assistant Professor at the University of Barcelona. Her research profile reflects more than two decades of experience in translational bioengineering and biosensor development.[1]

Her scientific activities encompass biosensors, microfluidics, neurovascular modeling, implantable electrochemical devices, and organ-on-a-chip systems. She has coordinated European Union and national research projects focused on personalized medicine, blood-brain barrier models, and neurodegenerative disease monitoring platforms.[5]

  • Principal Investigator of the EIC Pathfinder Challenge project “IV-Lab” focused on implantable smart sensing systems.
  • Lead investigator of the eBRAIN project involving hippocampal blood-brain barrier-on-a-chip technologies.
  • Scientific Coordinator for collaborative industrial projects involving HPV diagnostic point-of-care systems.
  • Mentor and supervisor for doctoral, master’s, and postdoctoral researchers in biomedical engineering.

Research Contributions

One of Dr. Mir’s notable contributions is the development of advanced blood-brain barrier-on-a-chip models integrated with microelectrodes and electrochemical sensing systems. These platforms provide realistic physiological environments for evaluating nanoparticle permeability, neurovascular interactions, and therapeutic responses associated with neurodegenerative diseases such as Alzheimer’s disease.[3]

Her research has also explored implantable electrochemical microsensors for monitoring oxygen and pH levels in fetal ischemia and hypoxia studies. These technologies demonstrate potential clinical utility in prenatal diagnostics and real-time physiological monitoring.[4]

Dr. Mir has contributed to biosensor integration within organ-on-a-chip systems, enabling improved monitoring of biological responses and enhanced analytical performance for translational medicine applications.[5]

  • Development of neurovascular unit-on-a-chip technologies.
  • Electrochemical immunosensors for Alzheimer’s disease biomarker detection.
  • Microfluidic biosensing systems for cancer liquid biopsy applications.
  • Implantable multiparametric microsensors for physiological monitoring.

Publications

Dr. Mir has authored more than 59 peer-reviewed scientific publications, including articles in high-impact journals such as ACS Sensors, Journal of Nanobiotechnology, Materials Today Bio, and Biosensors & Bioelectronics.

  1. Arellano, A. et al. (2025). Attenuation of blood-brain barrier dysfunction by functionalized gold nanoparticles against amyloid-β peptide in an Alzheimer’s disease-on-a-chip model. Materials Today Bio.
  2. Palma-Florez, S. et al. (2024). Neurovascular unit on a chip: The relevance and maturity as an advanced in vitro model. Neural Regeneration Research.
  3. Mir, M. et al. (2022). Biosensors Integration in Blood−Brain Barrier-on-a-Chip. ACS Sensors.
  4. Marrugo-Ramírez, J. et al. (2021). Kynurenic Acid Electrochemical Immunosensor: Blood-Based Diagnosis of Alzheimer’s Disease. Biosensors.
  5. Rivas, L. et al. (2020). Micro-needle implantable electrochemical oxygen sensor: ex-vivo and in-vivo studies. Biosensors & Bioelectronics.

Research Impact

Dr. Mir’s research has achieved measurable academic and translational impact through scientific publications, patent development, industrial collaborations, and interdisciplinary project leadership.[3] Her work has contributed to the advancement of personalized medicine and neuroengineering by improving experimental disease modeling systems and biosensor technologies.

Her scientific output includes over 2180 citations and an h-index of 21 according to Scopus metrics. She has served as editor and reviewer for several international journals and funding agencies, including the Swiss National Science Foundation, DBT India Alliance, and Agence Nationale de la Recherche.[1]

In addition to academic contributions, Dr. Mir co-founded the spin-off company NewCo S.L., highlighting the translational and entrepreneurial dimensions of her research activities.[2]

Award Suitability

Dr. Mònica Mir demonstrates strong suitability for recognition in biomedical engineering and biosensor innovation due to her sustained contributions to translational healthcare technologies. Her interdisciplinary expertise in organ-on-a-chip systems, electrochemical biosensors, and neuroengineering aligns with contemporary priorities in personalized medicine and biomedical diagnostics.[9]

Her leadership in European and national research initiatives, mentorship activities, editorial responsibilities, and technology transfer initiatives further support her profile as a distinguished researcher contributing to both scientific advancement and societal healthcare applications.[4]

Conclusion

Dr. Mònica Mir has established a significant research career in biomedical engineering, biosensors, and organ-on-a-chip technologies. Her scientific achievements reflect interdisciplinary innovation, translational healthcare applications, and collaborative research leadership. Through her contributions to biosensing systems, neurovascular disease models, and implantable diagnostic technologies, she continues to advance the field of biomedical engineering and translational medicine.[5]

References

  1. Elsevier. (n.d.). Scopus author details: Mònica Mir, Author ID 12647442200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=12647442200
  2. Mir, M. et al. (2022). Biosensors Integration in Blood−Brain Barrier-on-a-Chip. ACS Sensors.
    https://doi.org/10.1021/acssensors.2c00123
  3. Palma-Florez, S. et al. (2024). Neurovascular unit on a chip: The relevance and maturity as an advanced in vitro model. Neural Regeneration Research.
  4. Marrugo-Ramírez, J. et al. (2021). Kynurenic Acid Electrochemical Immunosensor: Blood-Based Diagnosis of Alzheimer’s Disease. Biosensors.
  5. Palma-Florez, S. et al. (2023). BBB-on-a-chip with integrated micro-TEER for permeability evaluation. Journal of Nanobiotechnology.

Dr. Lauren Rimmel | Health Monitoring | Best Researcher Award

Dr. Lauren Rimmel | Health Monitoring | Best Researcher Award

Dr. Lauren Rimmel | Health Monitoring | Brigham and Women’s Hospital | United States

Dr. Lauren Rimmel, PT, DPT, OCS, CSCS, is a dedicated physical therapist, educator, and researcher whose work bridges orthopedic rehabilitation, health equity, and community-engaged care. With advanced clinical specialization and a passion for social justice in healthcare, she has contributed significantly to the advancement of evidence-based practice and inclusive education in physical therapy. As a Clinical Specialist at Brigham and Women’s Health Center and Adjunct Faculty at the Massachusetts General Hospital Institute of Health Professions, Dr. Rimmel combines clinical expertise with academic mentorship. Her professional philosophy emphasizes patient-centered care, interdisciplinary collaboration, and the promotion of equitable access to rehabilitation services across diverse populations.

Professional Profile

Scopus

Summary of Suitability for the “Best Researcher Award” 

Dr. Lauren Rimmel stands out as an exemplary candidate for the Research for Best Researcher Award, combining advanced clinical expertise, academic scholarship, and a strong commitment to social justice and health equity in physical therapy research. Her scholarly and professional achievements clearly demonstrate the blend of innovation, leadership, and evidence-based practice that this award seeks to recognize.

Education

Dr. Rimmel completed her Doctor of Physical Therapy (DPT) and Bachelor of Science in Exercise Physiology at Marquette University, graduating magna cum laude from both programs. Her foundational education in exercise physiology provided a strong scientific background in human performance, biomechanics, and therapeutic exercise. She later pursued a postdoctoral Physical Therapy Residency in Orthopedics at the Massachusetts General Hospital Institute of Health Professions, where she further honed her clinical skills in managing complex musculoskeletal and neurologic conditions. This rigorous academic and clinical training positioned her as a well-rounded clinician and academic, capable of translating scientific evidence into practical rehabilitation strategies. Through continuing education in vestibular rehabilitation, dry needling, concussion management, and community health equity, she has remained deeply engaged in lifelong learning and advanced clinical development.

Professional Experience

Dr. Rimmel currently serves as a Clinical Specialist in the Outpatient Physical Therapy Department at Brigham and Women’s Health Center, where she manages a broad patient population encompassing orthopedic, vestibular, oncologic, neurologic, antepartum and postpartum, and gender-diverse health cases. Her clinical leadership extends beyond patient care—she is an active contributor to institutional committees focused on Diversity, Equity, and Inclusion (DEI) and the Sports Protocols Team, where she has authored multiple physical therapy rehabilitation guidelines, including those for Biceps Tendon Repair, PCL Reconstruction, OATS, and ACI procedures. Her work on these committees reflects a deep commitment to standardizing high-quality, equitable rehabilitation practices.

Simultaneously, Dr. Rimmel holds a faculty appointment as Adjunct Professor at the MGH Institute of Health Professions, where she contributes to curriculum development and instruction within the Social Justice and Health Equity Thread of the physical therapy program. Her teaching emphasizes the integration of evidence-based care with cultural competence and community awareness. She has led qualitative research, facilitated case-based learning, and guided future clinicians to provide compassionate care to marginalized and housing-insecure populations. Her earlier professional experience includes a Physical Therapy Residency at Massachusetts General Hospital, where she conducted clinical research, mentored peers, and gained valuable experience during the COVID-19 pandemic through service at Boston Hope Hospital with Boston’s Healthcare for the Homeless program.

Research Interests

Dr. Rimmel’s research centers on health inequity, diversity in rehabilitation education, and structural competency in physical therapy practice. She investigates disparities in physical therapy referral and participation, with an emphasis on identifying systemic barriers that contribute to unequal access to care. Her work also examines how culturally and linguistically diverse learners navigate higher education in physical therapy and how educational institutions can leverage community cultural wealth to foster inclusive learning environments. By combining qualitative and quantitative research approaches, Dr. Rimmel advances understanding of the intersection between social determinants of health and rehabilitation outcomes. Her ongoing research aims to transform healthcare education and practice by embedding social justice principles into clinical frameworks.

Awards

Dr. Rimmel’s exceptional contributions to clinical excellence, research, and educational innovation have earned her recognition within the physical therapy and health equity communities. She is a Board-Certified Clinical Specialist in Orthopaedics through the American Board of Physical Therapy Specialties, a certification reflecting her advanced expertise in musculoskeletal rehabilitation. She is also a Certified Strength and Conditioning Specialist through the National Strength and Conditioning Association and a Basic Cardiac Life Support provider. Her professional development includes participation in the Community Health Equity Scholars Program at Cambridge Health Alliance, which further underscores her leadership in community-based healthcare initiatives. Her nomination for this award highlights her distinguished role as a clinician-researcher dedicated to equitable healthcare delivery, diversity advocacy, and clinical excellence.

Publication Top Notes

Investigating Disparities in Physical Therapy Utilization: An Intersectionality Perspective

Mr. Mohamed Hamroun | Healthcare | Breakthrough Research Award

Mr. Mohamed Hamroun | Healthcare | Breakthrough Research Award

Mr. Mohamed Hamroun | Healthcare | XLIM/ University of Limoges | France

Dr. Mohamed Hamroun is an accomplished computer scientist and engineer specializing in artificial intelligence, image processing, and multimodal information retrieval. Currently serving as a researcher and lecturer at the 3iL School and the XLIM Laboratory at the University of Limoges, France, he has made significant contributions to the fields of deep learning, computer vision, and semantic data indexing. His multidisciplinary expertise spans across AI, VR/AR systems, big data analytics, and intelligent information retrieval systems, positioning him as a leading researcher in computational intelligence and multimedia data analysis. Through his work, Dr. Hamroun has advanced both theoretical understanding and practical applications of machine learning and artificial intelligence for complex visual and semantic data challenges.

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Summary of Suitability for the “Breakthrough Research Award” 

Dr. Mohamed Hamroun is an exceptionally qualified candidate for the Research for Breakthrough Research Award, demonstrating a strong academic foundation, extensive research experience, and impactful scientific contributions in the fields of artificial intelligence (AI), image processing, deep learning, and multimodal information retrieval.

Education

Dr. Hamroun’s academic journey reflects a deep commitment to advancing computer science and AI-driven data analysis. He earned his Ph.D. in Computer Science from the University of Bordeaux, where his doctoral research focused on “Indexing and retrieval by visual, semantic, and multi-level content of multimedia documents,” under the supervision of Professors Henri Nicolas and Ikram Amous. His doctoral work bridged the gap between computational semantics and large-scale multimedia information retrieval. He later completed his Habilitation to supervise research at the University of Limoges, where his postdoctoral contributions were consolidated into a major research theme titled “Contributions to indexing and information retrieval: application to generalist and medical multimodal data,” under the guidance of Professor Damien Sauveron. Before his doctoral studies, he obtained a Computer Engineering degree from the University of Sfax, Tunisia, and a Bachelor’s degree in Computer Science from the same institution. His undergraduate and graduate projects revolved around multilingual search engine development and database management systems, establishing his foundation in applied informatics and intelligent systems.

Professional Experience

Dr. Hamroun’s professional experience demonstrates a steady trajectory of academic excellence and applied innovation. He began his career as an R&D Engineer at SIM-SOFT in Tunisia, where he was involved in software development and data-driven industrial applications. Following this, he pursued his Ph.D. research jointly between the University of Bordeaux and the University of Sfax, working on hybrid semantic and visual content retrieval models. After completing his Ph.D., he joined the XLIM Laboratory at the University of Limoges as a Postdoctoral Researcher, where he focused on the integration of deep learning and ontology-based frameworks for medical and multimedia data analysis. Later, he was appointed as a Lecturer at EILCO Engineering School in France, contributing to both teaching and research in computer science and artificial intelligence. He now holds the position of Associate Professor at 3iL Engineering School, affiliated with the XLIM Laboratory, where he supervises research projects and mentors graduate students in AI, machine learning, and multimedia information systems.

Research Interests

Dr. Hamroun’s research interests cover a wide spectrum of computational and artificial intelligence domains. His core expertise includes image and signal processing, deep learning architectures for data classification and clustering, virtual and augmented reality applications, and semantic data mining. His studies often combine statistical learning, ontology modeling, and multimodal data fusion to enhance human-computer interaction and knowledge extraction. A significant part of his current research focuses on developing intelligent systems for multimodal medical data retrieval and applying AI to improve healthcare diagnostics and decision support. His recent work also extends to federated learning frameworks and semantic interpretation in multimedia environments, bridging applied computer science with real-world AI applications.

Awards

Dr. Hamroun has been recognized for his innovative research in artificial intelligence and multimedia information systems through various academic honors and nominations. His outstanding work in deep learning-based image analysis and computational semantics has earned him recognition among peers in the international AI research community. He has contributed as a co-author to several highly cited papers and participated in collaborative European research projects aimed at integrating AI into real-world industrial and medical systems. His nomination for the award highlights his leadership in combining artificial intelligence with practical problem-solving across domains such as emotion recognition, diabetic foot ulcer diagnosis, and semantic retrieval.

Publication Top Notes

  • Title: Emotion recognition from speech using spectrograms and shallow neural networks
    Authors: A. Slimi, M. Hamroun, et al.
    Year: 2020
    Citations: 47

  • Title: DFU-Siam: A novel diabetic foot ulcer classification with deep learning
    Authors: M. S. A. Toofanee, M. Hamroun, et al.
    Year: 2023
    Citations: 43

  • Title: A survey on intention analysis: successful approaches and open challenges
    Authors: M. Hamroun
    Year: 2020
    Citations: 21

  • Title: An interactive engine for multilingual video browsing using semantic content
    Authors: M. B. Halima, M. Hamroun, et al.
    Year: (arXiv preprint, circa 2013)
    Citations: 16

  • Title: DFU-Helper: Innovative framework for longitudinal diabetic foot ulcer evaluation using deep learning
    Authors: M. S. A. Toofanee, M. Hamroun, et al.
    Year: 2023
    Citations: 11

Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award

Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award 

Ms. Soree Hwang, Korea Institute of Science and Technology (KIST), South Korea

So Ree Hwang is a dedicated researcher in the field of biomedical engineering currently pursuing her Ph.D. at Korea University. She holds a Master’s degree in Design and Engineering from Seoul National University of Science and Technology and a Bachelor’s degree in Mechanical Engineering from Korea Aerospace University. Since May 2022, she has been a student researcher at the Korea Institute of Science and Technology (KIST), where she contributes to the development of AI-based health management platforms, including lifelog acquisition systems and fatigue and stress detection technologies. Her research also focuses on gait analysis and stroke assessment using motion signal processing and wearable devices. So Ree has published numerous papers as a main and co-author in reputable journals such as Sensors, Frontiers in Human Neuroscience, and IEEE journals. Her work integrates machine learning and biomedical signal analysis to advance rehabilitation technologies and health monitoring systems.

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Summary of Suitability for Best Researcher Award – So Ree Hwang

Dr. So Ree Hwang is a highly suitable candidate for the Best Researcher Award in the domain of health monitoring and biomedical engineering, with a strong multidisciplinary background and an impressive portfolio of impactful, AI-integrated sensor-based research.

🎓 Education

  • Ph.D. in Biomedical Engineering
    Korea University, Seoul, Republic of Korea (2021 – Present)

  • M.S. in Design and Engineering
    Seoul National University of Science and Technology, Seoul, Republic of Korea (2018 – 2020)

  • B.S. in Mechanical Engineering
    Korea Aerospace University, Goyang-si, Republic of Korea (2011 – 2017)

💼 Work Experience

  • Student ResearcherKorea Institute of Science and Technology (KIST)
    📍 Seoul, Republic of Korea (2022.05.01 – Present)

    • 🧠 Developed a lifelog system and AI-based fatigue/stress management platform

    • 🚶‍♂️ Contributed to gait analysis tech for knee disorder recovery

    • 🧪 Worked on motion signal-based stroke assessment technologies

  • Research InternKorea Institute of Science and Technology (KIST)
    📍 Seoul, Republic of Korea (2020.03.01 – 2021.12.31)

    • 🧠 Focused on stroke assessment using motion signal analysis

🏆 Achievements & Research Contributions

  • 📝 8 SCI-indexed papers as main or co-author, including in top journals like Sensors, Frontiers in Human Neuroscience, and IEEE

    • 📊 Topics: Gait phase classification, stroke severity assessment, fatigue detection using AI, wearable systems

  • ⚙️ First-author of applied engineering papers on 3D printing and IMU validation

  • 🤖 Integrated machine learning models (CNN-LSTM-Attention, RNNs) into biomedical signal analysis

  • 🧩 Contributed to the advancement of intelligent health monitoring and gait recovery systems

Publication Top Notes:

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Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award 

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

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Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun Yılmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education 🎓

  • Bachelor of Science in Mechanical Engineering (English)
    University of Gaziantep, 2009
  • Master of Science in Mechanical Engineering (English)
    University of Gaziantep, 2011
  • Ph.D. in Mechanical Engineering (English)
    University of Gaziantep, 2016
    (Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Work Experience 💼

  • Research Assistant
    Department of Mechanical Engineering, University of Gaziantep, 2010-2016
  • Assistant Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2017-2020
  • Associate Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2020–present

Achievements 🏆

  • Supervised several Ph.D. and M.Sc. theses, including:
    • Ömer Faruk Güler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
    • Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
    • Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
    • Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)
  • Involved in multiple TÜBİTAK projects (Turkey’s scientific and technological research body), including:
    • Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
    • Concentrated Solar Collector for Afyon Province solar data (2022-2023)
    • Vanadium Redox Flow Battery Performance Evaluation (2023-2025)

Awards & Honors 🏅

  • Received TÜBİTAK project scholarships and executed high-impact research projects related to geothermal energy, hydrogen production, and renewable energy optimization.

Publication Top Notes:

Drought-induced oxidative damage and antioxidant responses in peanut (Arachis hypogaea L.) seedlings

CITED:162

Thermodynamic evaluation of geothermal energy powered hydrogen production by PEM water electrolysisEconomics of hydrogen production and liquefaction by geothermal energy

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

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