Leonardo Mayorga | Immunology and Microbiology | Best Researcher Award

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Dr. Leonardo Mayorga | Immunology and Microbiology | Best Researcher Award 

Medical microbiologist at Universidad de Guadalajara Centro Universitario de Ciencias de la Salud: Guadalajara, Jalisco, Mexico

Leonardo Mayorga is a highly accomplished biologist specializing in medical microbiology and infectious diseases, with a particular focus on mycology and mycobacteriology. He holds a degree from the University of Guadalajara and advanced postgraduate training in his field. Leonardo combines clinical practice with academic excellence, serving as a professor in prestigious institutions such as the University of Milan and the Hospital General de Hermosillo. He is the founder of the dermatological mycology diploma at the Colegio Ibero Latinoamericano de Dermatología (CILAD), showcasing his commitment to advancing education in this niche. His leadership extends internationally as the Director of International Relations for the Worldwide Dermatology Collaboration Society, and nationally as the Secretary of the Mexican Association of Medical Mycology. Additionally, he contributes to scientific scholarship as a member of the editorial board for the Worldwide Dermatology Journal. Leonardo’s career reflects a blend of research, teaching, and professional service, marking him as a key figure in his specialized field of medical mycology.

Professional Profile 

ORCID Profile

Education

Leonardo Mayorga holds a degree in Biology from the University of Guadalajara, where he laid the foundation for his scientific career. He further specialized through postgraduate studies in Medical Microbiology and Infectious Diseases at the same university, deepening his expertise in the diagnosis and treatment of infectious pathogens. His academic training is complemented by focused clinical specialization in mycology and mycobacteriology, fields that require detailed knowledge of fungal and mycobacterial infections, respectively. This comprehensive education equips him to address complex infectious diseases from both a laboratory and clinical perspective. His continuous commitment to education is reflected in his roles as an educator and program founder, underlining a lifelong dedication to expanding knowledge in medical microbiology and infectious diseases.

Professional Experience

Leonardo Mayorga has built a distinguished professional career balancing clinical practice, teaching, and leadership roles. He operates a private diagnostic and research unit in Guadalajara, focusing on medical microbiology and infectious diseases. As an academic, he serves as a professor in several prestigious institutions, including the University of Milan and the Hospital General de Hermosillo, contributing to international and national training programs. Notably, he founded the dermatological mycology diploma program at the Colegio Ibero Latinoamericano de Dermatología (CILAD), demonstrating his commitment to education and specialization development. In addition, he holds leadership positions such as Director of International Relations for the Worldwide Dermatology Collaboration Society and Secretary of the Mexican Association of Medical Mycology, reflecting his influence within the scientific community.

Research Interest

Leonardo Mayorga’s primary research interests lie in the fields of medical mycology and mycobacteriology, focusing on the diagnosis, pathogenesis, and treatment of fungal and mycobacterial infections. He is particularly invested in advancing knowledge related to dermatological fungal diseases, a niche area critical for both clinical treatment and public health. His work aims to improve diagnostic methods and therapeutic strategies, bridging laboratory research with clinical applications. Additionally, he is involved in studying tropical infectious diseases, contributing to understanding their epidemiology and management. By combining clinical expertise with academic research, Leonardo’s efforts help enhance diagnostic accuracy, patient outcomes, and education in infectious diseases, fostering progress in both local and international healthcare environments.

Award and Honor

While specific awards and honors for Leonardo Mayorga are not detailed, his professional roles and appointments indicate significant recognition in his field. Serving as Secretary of the Mexican Association of Medical Mycology for the 2024-2026 term highlights his respected leadership among peers. His position on the editorial board of the Worldwide Dermatology Journal further reflects his standing in the scientific community as an expert and influencer. Being appointed Director of International Relations for the Worldwide Dermatology Collaboration Society underscores international trust in his ability to foster collaboration and advance the field globally. These roles collectively serve as professional honors that validate his expertise, dedication, and contributions to medical microbiology and dermatology.

Conclusion

Leonardo Mayorga exemplifies a dedicated scientist and educator with a specialized focus on medical mycology and infectious diseases. His solid academic background, combined with extensive clinical practice and international teaching experience, positions him as a leader in his field. He actively advances research, education, and professional collaboration through founding academic programs and holding key leadership roles. Though explicit awards are not noted, his appointments and editorial responsibilities reflect high peer recognition and influence. Leonardo’s career is marked by a commitment to improving infectious disease diagnosis and treatment, fostering international collaboration, and shaping the future generation of specialists. His blend of scientific rigor, educational innovation, and professional service makes him a prominent figure in medical microbiology and dermatological research worldwide.

Publications Top Notes

  • Title: Vasculonecrotic Reaction in an HIV/Leprosy Coinfected Subject Caused by Mycobacterium lepromatosis

    • Authors: Fernando Amador-Lara, Jorge Leonardo Mayorga-Garibaldi, Felipe Jesus Bustos-Rodríguez, Luz Gonzalez-Hernandez, Pedro Martínez-Ayala, Jaime Federico Andrade-Villanueva

    • Year: 2025

  • Title: Global Partnerships in Dermatology

    • Author: Leonardo Mayorga

    • Year: 2025

  • Title: Disseminated Sporotrichosis in A Patient with Iatrogenic Immunosuppression Due to Suspected Pyoderma Gangrenosum

    • Author: Leonardo Mayorga

    • Year: 2024

  • Title: Mycobacterium leprae Infection in a Wild Nine-Banded Armadillo, Nuevo León, Mexico

    • Authors: Vera-Cabrera L, Ramos-Cavazos CJ, Nathan A. Youssef, Camron Pearce, Carmen Molina-Torres, Ramiro Avalos-Ramirez, Sebastien Gagneux, Ocampo-Candiani J, Gonzalez-Juarrero M, Mayorga-Rodriguez JA, et al.

    • Year: 2022

  • Title: Esporotricosis en animales domésticos

    • Author: Leonardo Mayorga

    • Year: 2021 (Book chapter)

  • Title: Tiña hiperqueratósica causada por Nannizzia gypsea: manifestación atípica en un paciente con VIH

    • Author: Leonardo Mayorga

    • Year: 2021

  • Title: Esporotricosis serie de 1,134 casos en una zona endémica de México

    • Author: Leonardo Mayorga

    • Year: 2019

  • Title: Inflammatory Tinea Manuum due to Trichophyton erinacei from an African Hedgehog

    • Author: Leonardo Mayorga

    • Year: 2018

Chourouk Ouerghemmi | Business | Best Researcher Award

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Dr. Chourouk Ouerghemmi | Business | Best Researcher Award

Postdoctoral Researcher at Université du Québec à Chicoutimi, Canada

Docteure Chourouk Ouerghemmi is a dedicated researcher and educator currently serving as a research and teaching assistant at the Université du Québec à Chicoutimi (UQAC). With a strong academic background in marketing, sustainability, and consumer behavior, she brings interdisciplinary expertise to both her research and pedagogical activities. Her work spans data analysis (SPSS, Nvivo, AMOS), ethics certifications, research design, and scientific writing. She actively contributes to projects promoting the circular economy and digital responsibility in Québec, and is engaged in science communication through workshops, training videos, and digital content creation. Her teaching experience includes undergraduate and graduate instruction in Canada and Tunisia, where she has developed and delivered innovative, student-centered curricula. In addition to her academic achievements, she plays a vital role in community outreach, policy initiatives, and the organization of scientific events. Her dynamic, cross-cultural experience and commitment to societal impact position her as a rising leader in research and education.

Professional Profile 

Google Scholar
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ORCID Profile

Education

Docteure Chourouk Ouerghemmi holds a Ph.D. in Marketing, supported by a solid academic foundation in management and consumer behavior. She completed her doctoral studies under the framework of an international academic exchange, culminating in a research internship at the Université du Québec à Chicoutimi (UQAC), Canada. Her academic journey includes formal education and training in both Tunisia and Canada, allowing her to build expertise in both theoretical and applied aspects of marketing, sustainability, and innovation. Her educational background is complemented by certifications in qualitative and quantitative research methodologies, including advanced proficiency in tools such as SPSS, AMOS, and Nvivo. Her academic path reflects a strong commitment to interdisciplinary learning, combining insights from economics, technology, and behavioral sciences. This blend of diverse academic experiences has provided her with the skills to analyze complex problems and contribute meaningfully to both academic and societal debates on responsible innovation and sustainable consumption.

Professional Experience

Chourouk Ouerghemmi has developed a rich and diverse professional portfolio across research, teaching, and academic service. She currently serves as a research and teaching assistant at UQAC, where she designs experimental research protocols, analyzes complex data sets, drafts grant proposals, and delivers lectures in marketing and consumer behavior. Her past experiences include teaching at the undergraduate level in Tunisia and Canada, delivering tailored support to master’s and doctoral students, and co-organizing high-level academic events. She has also contributed extensively to public outreach, including producing training capsules and managing digital platforms for research dissemination. Her professional roles reflect versatility, ranging from data-driven research to practical teaching applications. Moreover, she has actively participated in government-funded projects related to sustainability and digital responsibility in Québec, emphasizing her engagement with real-world challenges. These experiences position her as a well-rounded academic professional capable of integrating research, teaching, and community service in meaningful and impactful ways.

Research Interest

Dr. Ouerghemmi’s research interests lie at the intersection of marketing, sustainability, consumer behavior, and digital responsibility. She focuses on how consumer choices are shaped by environmental, technological, and ethical factors, particularly in the context of circular economy and responsible innovation. Her work often applies both qualitative and quantitative research methods to examine behavior patterns, assess marketing strategies, and design sustainable consumer engagement models. She has also explored themes such as sobriety, ethical digital practices, and societal resilience, contributing to forward-thinking research agendas such as Québec’s roadmap toward a circular economy and a sustainable digital future. In addition, her interests extend to pedagogy and science communication, especially through digital tools and open-access training resources. By engaging in interdisciplinary collaborations and public policy discussions, her research contributes to addressing complex societal problems through a behavioral science lens, making her work not only academically rigorous but also socially relevant and impactful.

Award and Honor

While specific award titles are not explicitly detailed, Chourouk Ouerghemmi has received significant recognition through competitive academic placements and participation in prestigious research projects. Her doctoral exchange at UQAC was supported by the Tunisian Ministry of Higher Education, demonstrating institutional trust in her academic promise. She has also been invited to contribute to high-profile initiatives, such as Québec’s participatory roadmap toward a circular economy (RRECQ) and intersectoral strategies on sustainable digital futures. These roles reflect peer recognition of her expertise and her ability to contribute to policy-shaping efforts. Her selection to evaluate academic posters and scientific papers, along with speaking roles at various colloquia, further underscore the esteem in which she is held by the academic community. Additionally, her leadership in training and mentoring students through tailored workshops and e-learning tools has established her as a respected figure in research knowledge transfer and academic support. These achievements collectively highlight her emerging prominence in her field.

Conclusion

Docteure Chourouk Ouerghemmi stands out as a dynamic and committed researcher with a growing impact in academia and society. Her multidimensional expertise—spanning marketing, sustainability, education, and data analysis—enables her to bridge the gap between theoretical research and practical application. She brings a rare combination of scholarly depth, pedagogical innovation, and social engagement to her work. From designing rigorous research protocols to delivering inclusive and interactive teaching experiences, she embodies the qualities of a modern academic leader. Her involvement in national and intersectoral research initiatives further demonstrates her capacity to influence systemic change, particularly in the realms of circular economy and digital ethics. With a track record of interdisciplinary collaboration, policy-oriented research, and international exposure, Chourouk Ouerghemmi is well-positioned for future academic honors and leadership roles. Her profile reflects not just academic excellence but a strong dedication to making research a driver of sustainable and ethical societal progress.

Publications Top Notes

  • Title: Overview of factors influencing consumer engagement with plastic recycling
    Authors: M. Ertz, W. Addar, C. Ouerghemmi, M. Takaffoli
    Year: 2023
    Citations: 27

  • Title: The impact of virtual reality (VR) tour experience on tourists’ intention to visit
    Authors: C. Ouerghemmi, M. Ertz, N. Bouslama, U. Tandon
    Year: 2023
    Citations: 25

  • Title: Virtual Tasting in the Metaverse: Technological Advances and Consumer Behavior Impacts
    Authors: F.A. Moustapha, M. Ertz, C. Ouerghemmi
    Year: 2024
    Citations: 5

  • Title: Influence of atmospheric cues on the consumers’ behaviour: moderating effects of the aesthetic centrality of the store and the purpose of the visit
    Authors: A.A. Zarrouk, C. Ouerghemmi
    Year: 2019
    Citations: 4

  • Title: Impact of virtual reality on tourism (Encyclopedia entry)
    Authors: C. Ouerghemmi, M. Ertz, N. Bouslama, U. Tandon
    Year: 2023
    Citations: 3*

  • Title: Impact of the metaverse on sustainability in the construction industry
    Authors: M. Ertz, C. Ouerghemmi, Y.N. Njika
    Year: 2024
    Citations: 2

  • Title: Fostering Sustainability Through Digital Evolution: Evaluating Industry 5.0 Preparedness in Quebec’s Regional SMEs
    Authors: S. Vallée, M. Ertz, C. Ouerghemmi, A. Périn
    Year: 2025

Evelina Domashevskaya | Materials Science | Best Researcher Award

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Prof. Dr. Evelina Domashevskaya | Materials Science | Best Researcher Award

Professor at Voronezh State University, Russia

Professor Evelina Pavlovna Domashevskaya is a distinguished scientist and academic at Voronezh State University, Russia, with a PhD in Physics earned at the age of 32. She has made significant contributions to science, evidenced by over 300 publications in national and international journals and presentations at more than 70 conferences. Recognized as an Academician of the Russian Academy of Natural Sciences and an Honored Scientist of the Russian Federation, she also serves as an expert in the Federal Register of Experts in the Scientific and Technical Sphere. Her accolades include winning the prestigious 2021 All-Russian Competition “Golden Names of Higher School.” Currently, she leads cutting-edge research on hybrid core-shell systems for targeted drug delivery, funded by the Russian Science Foundation (Grant No. 25-22-00292). Her work reflects a blend of academic excellence, national recognition, and impactful scientific inquiry, making her a prominent figure in the field of materials science and applied physics.

Professional Profile 

Scopus Profile
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Education

Professor Evelina Pavlovna Domashevskaya completed her PhD in Physics from Voronezh State University, Russia, at the age of 32. Her academic training provided a strong foundation in materials science and solid-state physics. Through rigorous study and early research involvement, she developed expertise in experimental and theoretical approaches to advanced materials. Her educational background laid the groundwork for a lifelong commitment to scientific inquiry and innovation. As a graduate of one of Russia’s prominent universities, she benefited from exposure to high-caliber faculty and a robust research environment. Her academic development was also shaped by the changing landscape of science and technology in post-Soviet Russia, which demanded adaptability and deep technical knowledge. Over the years, her education has evolved through continuous learning and active participation in scientific communities, enabling her to stay at the forefront of research in physics, nanostructures, and materials applications for health and technology.

Professional Experience

Professor Domashevskaya has had a long and impactful professional career at Voronezh State University, where she currently holds a professorship. Over the years, she has served in various academic and research roles, playing a pivotal part in advancing the university’s scientific reputation. With experience in lecturing, mentoring graduate students, and leading research projects, she has significantly contributed to the university’s physics department. Her leadership extends beyond teaching, encompassing research management, grant coordination, and academic program development. She has presented her work at over 70 national and international conferences, facilitating scholarly exchange and collaboration. In addition to her institutional duties, she is also a registered expert in the Federal Register of Experts in the Scientific and Technical Sphere of the Ministry of Science and Higher Education of the Russian Federation. This role highlights her expertise and reliability in assessing and guiding scientific developments across Russia’s academic and technical sectors.

Research Interest

Professor Domashevskaya’s research centers on materials science, nanotechnology, and their applications in biomedical engineering. Her work explores the structure and properties of nanostructured and hybrid materials, with a particular focus on porous silicon and its potential for targeted drug delivery systems. She investigates the sorption and luminescent properties of core-shell hybrid systems, aiming to develop innovative materials for healthcare applications. Her interdisciplinary approach bridges physics, chemistry, and medicine, contributing to the development of functional materials with real-world utility. Her ongoing research, supported by the Russian Science Foundation through Grant No. 25-22-00292, reflects her commitment to solving complex scientific problems with societal relevance. By integrating experimental research with theoretical modeling, she aims to enhance the performance and specificity of drug delivery systems, opening new possibilities in diagnostics and therapy. Her interests also extend to spectroscopy, thin films, and interface physics, marking her as a versatile and forward-thinking researcher.

Award and Honor

Professor Evelina Domashevskaya has earned numerous accolades that highlight her excellence and impact in science and academia. She is an Academician of the Russian Academy of Natural Sciences, reflecting her status as a leading expert in her field. Her designation as an Honored Scientist of the Russian Federation underscores her contributions to national scientific advancement. In 2021, she was a recipient of the prestigious “Golden Names of Higher School” award, which recognizes outstanding educators and researchers across Russia. Additionally, she has been entrusted as an expert in the Federal Register of Experts in the Scientific and Technical Sphere, affirming her credibility in evaluating national research initiatives. Her most recent achievement includes securing the Russian Science Foundation Grant No. 25-22-00292 for her pioneering research on hybrid nanostructures for drug delivery (2025–2026). Collectively, these honors validate her scientific leadership, innovation, and dedication to advancing the frontiers of applied and theoretical physics.

Conclusion

Professor Evelina Pavlovna Domashevskaya stands as a highly accomplished scientist whose career blends academic rigor, research innovation, and national service. With a PhD from Voronezh State University and a professorship at the same institution, she has made sustained contributions to materials science and nanotechnology. Her over 300 publications and participation in 70+ scientific conferences reflect an active and influential research profile. Recognized as an Honored Scientist and Academician, she has also earned top honors such as the “Golden Names of Higher School” award and prestigious national research grants. Her work on hybrid nanostructures for targeted drug delivery represents a critical intersection of physics and medicine, offering high societal impact. Through her mentorship, publications, and service to the scientific community, Professor Domashevskaya has proven herself to be a leader in Russian and international research. She is an exemplary candidate for top research awards, with a career marked by innovation, dedication, and excellence.

Publications Top Notes

  • Title: Feature of Nonlinear Electromagnetic Properties and Local Atomic Structure of Metals in Two Systems of Nanocomposites Cox(MgF2)100−x and (CoFeZr)x(MgF2)100−x
    Authors: E.P. Domashevskaya, S.A. Ivkov, E.A. Gan’shina, V.G. Vlasenko, A.V. Sitnikov
    Year: 2025

  • Title: Microstructural and Hydrophilic Properties of Polylactide Polymer Samples with Various 3D Printing Patterns
    Authors: A.S. Lenshin, V.E. Frolova, S.V. Kannykin, E.P. Domashevskaya
    Year: 2024
    Citations: 1

  • Title: Microstructural and Hydrophilic Properties of Polyethylene Terephthalate Glycol Polymer Samples with Different 3D Printing Patterns
    Authors: A.S. Lenshin, V.E. Frolova, S.A. Ivkov, E.P. Domashevskaya
    Year: 2024
    Citations: 2

  • Title: Effect of Aluminum on the Structure and Electrical Properties of Amorphous Diamond-Like Silicon-Carbon Films
    Authors: A.I. Popov, A.D. Barinov, V.M. Yemets, M.Y. Presnyakov, M.A. Shapetina
    Year: 2023

  • Title: Nonlinear Electromagnetic Properties of Thinfilm Nanocomposites (CoFeZr)x(MgF2)100−x
    Authors: E.P. Domashevskaya, S.A. Ivkov, P.V. Seredin, A.V. Sitnikov, E.A. Gan’shina
    Year: 2023
    Citations: 1

  • Title: Thin-Film Oxide Materials for Ozone Detection in Thermal Modulation Mode
    Authors: S.V. Ryabtsev, N.Y. Obvintseva, D.A.A. Ghareeb, S.Y. Turishchev, E.P. Domashevskaya
    Year: 2023
    Citations: 1

  • Title: Formation of the Al3Si Metastable Phase in Al-Si Films Obtained by Ion-Beam Sputtering According to Experimental and Theoretical Data
    Authors: V.A. Terekhov, E.P. Domashevskaya, S.I. Kurganskiĩ, A.V. Sitnikov, B.L. Agapov
    Year: 2023
    Citations: 0

  • Title: Nonlinear Transport and Magnetic/Magneto-Optical Properties of Cox(MgF2)100-x Nanostructures
    Authors: S.A. Ivkov, K.A. Barkov, E.P. Domashevskaya, A.V. Sitnikov, P.V. Seredin
    Year: 2023
    Citations: 3

  • Title: Features of the Resistive Response to Ozone of Semiconductor PdO Sensors Operating in Thermomodulation Mode
    Authors: S.V. Ryabtsev, N.Y. Obvintseva, V.V. Chistyakov, S.Y. Turishchev, E.P. Domashevskaya
    Year: 2023
    Citations: 1

Kennedy Mensah | Mathematics | Best Researcher Award

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Mr. Kennedy Mensah | Mathematics | Best Researcher Award

PhD. Candidate at Kwame Nkrumah University of Science andTechnology, Ghana

Kennedy Mensah is a dedicated and rapidly emerging researcher in applied mathematics, specializing in mathematical biology, tumor-immune modeling, infectious disease dynamics, and computational fluid dynamics. Currently pursuing a PhD at Kwame Nkrumah University of Science and Technology, he serves as an Assistant Lecturer at the University of Energy and Natural Resources. Kennedy has authored and co-authored several peer-reviewed publications in high-impact journals, reflecting his commitment to addressing real-world health and biological challenges through mathematical modeling. His work demonstrates strong interdisciplinary collaboration and practical relevance, with a research portfolio that spans optimal control theory, partial differential equations, and epidemiological modeling. Recognized through prestigious scholarships such as the GNPC Postgraduate and Barclays Tertiary Awards, Kennedy also brings valuable teaching experience and has contributed to national data collection initiatives. His academic achievements, coupled with his research productivity and passion for knowledge dissemination, mark him as a promising candidate for recognition as a Best Researcher.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Kennedy Mensah’s academic journey reflects a strong foundation in mathematical sciences and a continuous pursuit of academic excellence. He is currently a PhD candidate in Applied Mathematics at Kwame Nkrumah University of Science and Technology (KNUST), where he is deepening his expertise in mathematical modeling and computational analysis. He earned his Master of Philosophy (MPhil) in Applied Mathematics from the University of Energy and Natural Resources (UENR) with distinction, graduating with a CGPA of 3.68/4.0. Prior to that, he obtained a Bachelor of Science degree in Mathematics from UENR, finishing with a Second Class Upper Division and a CGPA of 3.58/4.0. His foundational education was at Tamale Senior High School, where he pursued General Arts with a strong emphasis on analytical subjects. This robust academic background has equipped him with critical thinking, analytical reasoning, and advanced problem-solving skills necessary for tackling complex real-world challenges through mathematics.

Professional Experience

Kennedy Mensah has accumulated diverse and impactful professional experience primarily centered around academia, research, and national development initiatives. He currently serves as an Assistant Lecturer at the University of Energy and Natural Resources, where he teaches undergraduate courses in differential equations, statistics, and algebra, among others. His academic career began as a Teaching Assistant and later as a Graduate Assistant, contributing to both instruction and research activities. Additionally, Kennedy has played key roles in national statistical projects, such as the 2023 Integrated Business Establishment Survey and the 2021 Population and Housing Census, where he served as a Field Supervisor and Regional Trainer. These roles highlight his leadership, organizational, and data handling skills. His previous teaching internships and outreach programs at senior high schools further reflect a deep commitment to education and community service. Kennedy’s career trajectory illustrates a balance of research, teaching, and applied service, making him a well-rounded academic professional.

Research Interest

Kennedy Mensah’s research interests lie at the intersection of mathematics and biology, focusing on the use of mathematical models to address critical health and biological phenomena. His primary areas include tumor-immune interaction modeling, continuum modeling of breast cancer, and the mathematical study of breast cancer immunotherapy using spatio-temporal analysis. He also explores optimal control theory and partial differential equations as applied to biological systems, with additional interests in computational biology, infectious disease modeling, and computational fluid dynamics. His work aims to provide quantitative insights into disease progression, treatment strategies, and epidemic control. Kennedy’s multidisciplinary research approach bridges mathematics, health sciences, and computational techniques, enabling him to develop models that are not only theoretically rigorous but also practically applicable. His commitment to mathematical biology and public health demonstrates a passion for using analytical tools to solve real-world problems, with potential impacts in medicine, epidemiology, and environmental health.

Award and Honor

Kennedy Mensah has been recognized for his academic excellence and research potential through several prestigious scholarships and awards. Notably, he received the GNPC Postgraduate Scholarship (2019–2021), awarded to outstanding graduate students in Ghana, which supported his MPhil studies in Applied Mathematics. He also earned the Barclays Tertiary Scholarship (2017–2018), a competitive award for academically strong and financially needy students, and was a recipient of the Mathematics, Science, and Technology Scholarship Scheme (MASTESS) (2016–2017), which supports students excelling in STEM disciplines. These honors reflect not only his strong academic performance but also recognition of his potential to contribute meaningfully to science and society. Kennedy’s ability to secure competitive scholarships from multiple institutions underscores his determination, intellectual merit, and commitment to academic growth. These accolades have played a significant role in supporting his education and research, enabling him to focus on developing high-impact solutions through applied mathematics.

Conclusion

Kennedy Mensah is a driven and innovative researcher with a firm grounding in applied mathematics, a growing record of academic publications, and a deep commitment to using mathematical tools for solving pressing health and societal issues. His journey from undergraduate studies through to a PhD candidacy reflects consistent academic excellence and intellectual growth. With strong experience in teaching, research collaboration, and national survey supervision, Kennedy exemplifies the qualities of a rising academic leader. His interdisciplinary research, especially in mathematical biology and disease modeling, addresses critical areas in public health and biomedical science. Recognized through competitive scholarships and engaged in impactful national initiatives, he has demonstrated both scholarly promise and societal relevance. Kennedy’s blend of technical skill, academic rigor, and community involvement positions him as an outstanding candidate for the Best Researcher Award. His future prospects in academia and research are promising, and he is poised to make lasting contributions in his field.

Publications Top Notes

  • Title: Stability analysis and optimal control strategies of Q fever transmission dynamics in Ghana’s Tropical Grassland
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak Gbemmie Chuaya
    Year: 2025
    Citation: Modeling Earth Systems and Environment, DOI: 10.1007/S40808-025-02341-Y

  • Title: Transmission dynamics of yellow fever with toxic infected population
    Authors: Elvis Kobina Donkoh, Baaba Abassawah Danquah, Francois Mahama, Dauda Musah, Francis Tuffour, Kennedy Mensah, Kwame Kyei Danquah
    Year: 2025
    Citation: Communications in Mathematical Biology and Neuroscience, DOI: 10.28919/cmbn/9036

  • Title: Modeling the spatiotemporal dynamic heterogeneity of pre-synthetic stage breast cancer tumor-immune interactions
    Authors: Kennedy Mensah, Joseph Abeiku Ackora-Prah, Dominic Otoo, Atta Kwame Gyamfi
    Year: 2025
    Citation: Partial Differential Equations in Applied Mathematics, DOI: 10.1016/j.padiff.2025.101200

  • Title: Dynamic Characterization of Parametric Structures and Perturbation Analysis of Blood Flow in the Cranial Arteries
    Authors: Dominic Otoo, Kennedy Mensah, K.A. Adu-Poku, D. Gyamfi, Baaba Abassawah Danquah, Hawa Adusei
    Year: 2024
    Citation: Journal of Fluid Flow, Heat and Mass Transfer, DOI: 10.11159/jffhmt.2024.021

  • Title: Dynamic analysis of Q-fever transmission among cattle in the Tropical Savannah Grassland zone of Ghana (Preprint)
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak G. Chuaya
    Year: 2024
    Citation: bioRxiv Preprint, DOI: 10.1101/2024.11.15.623876

Velislava Lyubenova | Engineering | Best Researcher Award

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Prof. Velislava Lyubenova | Engineering | Best Researcher Award

Academician at Bulgarian Academy of Science, Institute of Robotics, Bulgaria

Velislava Lyubenova is a distinguished Bulgarian researcher and professor with over 30 years of experience in biotechnological process control, mechatronics, and adaptive systems. She currently serves as the Head of the Mechatronic Bio/technological Systems Section at the Institute of Robotics, Bulgarian Academy of Sciences (BAS), and has held various academic and leadership roles across BAS institutions. She has led more than 10 national and international research projects, participated in numerous European programs, and supervised several PhD students. With over 200 scientific publications, many in high-impact journals, and invited lectures delivered at leading international institutions, she is widely recognized for her scientific contributions. Her expertise includes the development of innovative monitoring and control systems using tools like MATLAB and LABVIEW. An awardee of the “Marin Drinov” prize for young scientists, Lyubenova is also actively involved in academic governance, expert committees, and editorial boards, reflecting her deep commitment to scientific advancement and education.

Professional Profile 

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Education

Velislava Lyubenova holds a strong academic background in technical sciences and engineering. She earned her engineering degree in Radio Electronics from the Technical University of Sofia, followed by a Ph.D. in Automation with a dissertation focused on parameter estimation and biotechnological process monitoring. Her academic journey culminated with a Doctor of Technical Sciences degree from the Institute of System Engineering and Robotics (ISIR) at the Bulgarian Academy of Sciences (BAS), specializing in adaptive control and modeling of complex biotechnological systems. Her education blends deep technical knowledge with applied research capabilities, laying the foundation for a career in both theoretical and experimental domains. Her academic formation reflects a continuous pursuit of knowledge and specialization in interdisciplinary areas, preparing her to work across the fields of electronics, biotechnology, and control systems. This educational path has also enabled her to contribute to curriculum development and mentor future generations of researchers in her field.

Professional Experience

Professor Velislava Lyubenova has built a prolific career at the Bulgarian Academy of Sciences, progressing from a research fellow to a professor and head of department at the Institute of Robotics. Her early work in adaptive and robust control systems evolved into specialized research in bioengineering and mechatronic systems for biotechnology. She has served as Scientific Secretary at IR-BAS and has been a key figure in national expert commissions and scientific councils. Over her career, she has led and coordinated numerous national and international research projects, many involving cross-disciplinary collaboration. Her leadership roles include project management, supervision of PhD students, and delivery of advanced lecture courses. She also coordinates Erasmus programs and plays a pivotal role in academic exchange and cooperation. Her professional trajectory showcases a blend of scientific innovation, team leadership, and academic mentorship, making her a respected figure in both the Bulgarian and broader European research communities.

Research Interest

Velislava Lyubenova’s research is deeply rooted in the interdisciplinary fields of bioengineering, automation, and mechatronics. Her primary interest lies in the modeling, monitoring, and adaptive control of biotechnological processes, where she develops innovative methodologies to improve efficiency and reliability. She integrates control theory with practical applications using environments like MATLAB and LABVIEW, creating real-time monitoring systems that bridge theoretical concepts with industrial needs. Her work often addresses complex system dynamics in bioprocesses and seeks to optimize process performance through intelligent control algorithms. Additionally, she explores knowledge-based and adaptive systems that contribute to the advancement of next-generation biotechnological platforms. Her collaborative research also extends into European Union projects, educational initiatives, and technology transfer programs, reflecting a holistic approach to scientific inquiry. With a strong focus on experimental validation, her research continues to influence the development of advanced technologies in the fields of bioprocess engineering and industrial automation.

Award and Honor

Throughout her distinguished career, Velislava Lyubenova has received notable recognition for her contributions to science and research. A significant early milestone was her receipt of the “Marin Drinov” Young Scientist Award from the General Assembly of the Bulgarian Academy of Sciences in 1998—an honor bestowed upon promising researchers demonstrating exceptional scientific potential. She has also been invited to deliver over 15 specialized lectures at prestigious institutions abroad and six within Bulgaria, signifying her international recognition as a subject-matter expert. Her active involvement in over 30 international and national conferences further underscores her scientific engagement. Beyond individual accolades, her roles as a reviewer, jury member, editorial board member, and lecturer reflect a broader institutional and peer recognition of her expertise. These honors represent both her academic excellence and leadership in advancing science and education, and they demonstrate her lasting impact on the Bulgarian and global research landscape.

Conclusion

Velislava Lyubenova stands out as an accomplished and influential researcher in the fields of biotechnological systems and automation. Her extensive education, progressive professional experience, and leadership in multidisciplinary research projects position her as a key contributor to both national and international scientific advancement. Her ability to combine theoretical models with practical applications, mentor young scientists, and contribute to global academic forums speaks to her depth of expertise and dedication. She has earned peer and institutional recognition for her scientific work, making her a respected leader in her field. Her over 200 publications, contributions to prestigious journals, and active engagement in scientific committees demonstrate both productivity and academic integrity. With a strong foundation in research and innovation, and an enduring commitment to education and collaboration, Velislava Lyubenova is exceptionally well-qualified for honors such as the Best Researcher Award. Her career reflects a lifelong dedication to the pursuit of scientific excellence and societal impact.

Publications Top Notes

  • Title: Indirect adaptive linearizing control of a class of bioprocesses–Estimator tuning procedure
    Authors: MN Ignatova, VN Lyubenova, MR García, C Vilas, AA Alonso
    Year: 2008
    Citations: 31

  • Title: Kinetic characteristics of alcohol fermentation in brewing: state of art and control of the fermentation process
    Authors: V Shopska, R Denkova, V Lyubenova, G Kostov
    Year: 2019
    Citations: 21

  • Title: Adaptive control of fed-batch process for poly-beta-hydroxybutyrate production by mixed culture
    Authors: M Ignatova, V Lyubenova
    Year: 2007
    Citations: 16

  • Title: Control of biotechnological processes-new formalization of kinetics: Theoretical aspects and applications
    Authors: M Ignatova, V Lyubenova
    Year: 2011
    Citations: 15

  • Title: Model-based monitoring of biotechnological processes—a review
    Authors: V Lyubenova, G Kostov, R Denkova-Kostova
    Year: 2021
    Citations: 12

  • Title: Adaptive control of the Simultaneous Saccharification—Fermentation Process from Starch to Ethanol
    Authors: S Ochoa, V Lyubenova, JU Repke, M Ignatova, G Wozny
    Year: 2008
    Citations: 12

  • Title: An efficient hybrid of an ant lion optimizer and genetic algorithm for a model parameter identification problem
    Authors: O Roeva, D Zoteva, G Roeva, V Lyubenova
    Year: 2023
    Citations: 11

  • Title: Control of one stage bio ethanol production by recombinant strain
    Authors: V Lyubenova, S Ochoa, J Repke, M Ignatova, G Wozny
    Year: 2007
    Citations: 11

  • Title: Escherichia coli Cultivation Process Modelling Using ABC-GA Hybrid Algorithm
    Authors: O Roeva, D Zoteva, V Lyubenova
    Year: 2021
    Citations: 10

  • Title: Reaction rate estimators of fed-batch process for poly-β-hydroxybutyrate (PHB) production by mixed culture
    Authors: V Lyubenova, M Ignatova, M Novak, T Patarinska
    Year: 2007
    Citations: 10

  • Title: Dynamics Monitoring of Fed-batch E. coli Fermentation
    Authors: A Zlatkova, V Lyubenova
    Year: 2017
    Citations: 8

  • Title: Encapsulation of brewing yeast in alginate/chitosan matrix: Kinetic characteristics of the fermentation process at a constant fermentation temperature
    Authors: I Petelkov, V Lyubenova, A Zlatkova, V Shopska, R Denkova, M Kaneva, …
    Year: 2016
    Citations: 8

  • Title: On-line estimation in a distributed parameter bioreactor: Application to the Gluconic Acid production
    Authors: MR García, C Vilas, E Balsa-Canto, VN Lyubenova, MN Ignatova, …
    Year: 2011
    Citations: 8

  • Title: Metaheuristic algorithms: theory and applications
    Authors: S Ribagin, V Lyubenova
    Year: 2021
    Citations: 7

  • Title: CASCADE SENSOR FOR MONITORING OF DENITRIFICATION IN ACTIVATED SLUDGE WASTEWATER TREATMENT PROCESS
    Authors: V Lyubenova, M Ignatova
    Year: 2011
    Citations: 7

Shishir Tewari | Computer Science | Technology and Innovation Leadership Award

Published on | Editorial Board by World Top Scientists

Mr. Shishir Tewari | Computer Science | Technology and Innovation Leadership Award

Senior Manager, Data Engineering at Procore Technologies, United States

Shishir Tewari is a seasoned technology leader with over 19 years of experience driving innovation in data engineering, data warehousing, and analytics across top-tier organizations such as Google, Amazon, Morgan Stanley, and Microsoft. He currently leads strategic data initiatives at Procore Technologies, where he has spearheaded the development of AI/ML-driven platforms, cloud migrations, and real-time analytics systems. Known for his expertise in building scalable, high-performance data solutions, Shishir has successfully led global engineering teams and transformed complex data ecosystems on AWS, GCP, and Databricks. His technical vision, operational excellence, and commitment to data quality and governance have consistently delivered measurable business value. Shishir’s continuous pursuit of innovation and deep cross-functional leadership make him a standout contributor in the technology landscape. With a strong foundation in data science, cloud architecture, and team mentorship, he exemplifies the qualities of a forward-thinking, impact-driven technology leader worthy of recognition.

Professional Profile 

Google Scholar

Education

Shishir Tewari holds a Bachelor of Technology in Information Technology from U.P.T.U., India, graduating in 2006. Demonstrating a commitment to lifelong learning and innovation, he further enhanced his credentials with a specialization in Data Science and Analytics from Rutgers University, New Jersey, in 2018–2019. This advanced academic training equipped him with modern analytical techniques, machine learning algorithms, and statistical modeling—skills that have been instrumental in his professional success. His educational background lays a strong foundation for his technical leadership, blending theoretical knowledge with real-world application. The combination of engineering fundamentals and data science expertise positions Shishir as a well-rounded technology leader who can bridge the gap between innovation and implementation in enterprise environments.

Professional Experience

Shishir Tewari brings over 19 years of robust experience across global technology firms, including Google, Amazon, Morgan Stanley, Microsoft, and currently, Procore Technologies. His career spans technical leadership, large-scale data architecture, and cloud-native platform innovation. At Google, he led a global team optimizing financial data pipelines and infrastructure. At Amazon, he designed high-performance advertising data systems, enabling substantial revenue impact. At Procore, he has driven major initiatives including AI/ML-powered data platforms and cloud migrations. His ability to manage large engineering teams, align data strategy with business goals, and optimize performance at scale reflects his leadership maturity. Shishir’s diverse experience across industries—finance, tech, construction, and advertising—gives him a unique, cross-sector perspective on data-driven transformation.

Research Interest

Shishir Tewari’s research interests lie at the intersection of big data engineering, AI/ML-driven analytics, and cloud computing. He is particularly passionate about optimizing large-scale data systems for performance, governance, and real-time decision-making. With practical expertise in cloud platforms like AWS, GCP, and Databricks, his focus is on leveraging modern data stacks and open-source technologies to power next-generation analytics and automation. He is also interested in the application of machine learning for master data management, anomaly detection, and predictive modeling within business intelligence ecosystems. While not rooted in academic publishing, his work consistently applies research principles to solve real-world business problems, delivering measurable impact. Future interests include exploring the integration of generative AI with enterprise data platforms and advancing data democratization through self-service analytics tools.

Award and Honor

While specific awards and honors are not listed in his profile, Shishir Tewari’s consistent elevation to senior technical and leadership roles in globally respected organizations serves as a testament to his excellence and recognition within the industry. Being entrusted with mission-critical projects at Google, Amazon, and Morgan Stanley speaks to his reliability, vision, and execution skills. His role in leading high-visibility initiatives such as financial data certification, AI/ML-driven analytics platforms, and major cloud migrations reflects the high degree of trust and credibility he commands. He has likely received internal accolades for his contributions to performance optimization, cost reduction, and innovation. A nomination for a Technology and Innovation Leadership Award would further formalize and honor his significant contributions to data-driven transformation and technological advancement in enterprise settings.

Conclusion

Shishir Tewari exemplifies the qualities of a forward-thinking technology leader, with deep expertise in data engineering, cloud architecture, and strategic innovation. His two-decade-long career reflects a commitment to excellence, from hands-on development to executive-level leadership. With advanced training in data science, he brings both theoretical rigor and practical vision to his work. His impactful roles at top-tier organizations demonstrate his ability to lead cross-functional teams, optimize large-scale systems, and implement transformative technologies. Passionate about leveraging AI/ML and cloud platforms to drive business value, Shishir’s professional journey is marked by continuous learning and measurable outcomes. He stands out as a prime candidate for recognition through a Technology and Innovation Leadership Award, not only for his technical contributions but also for his ability to inspire, mentor, and lead organizations into the future of data-driven innovation.

Publications Top Notes

  1. Title: AI Powered Data Governance – Ensuring Data Quality and Compliance in the Era of Big Data
    Authors: S. Tewari
    Year: 2025

  2. Title: Operationalizing Explainable AI in Business Intelligence: A Blueprint for Transparent Enterprise Analytics
    Authors: A. Chitnis, S. Tewari
    Year: 2024

  3. Title: AI and Multi-Cloud Compliance: Safeguarding Data Sovereignty
    Authors: S. Tewari, A. Chitnis
    Year: 2024

  4. Title: Scalable Metadata Management in Data Lakes Using Machine Learning
    Authors: S. Tewari
    Year: 2023
    Citation: (Update needed)

  5. Title: AI-Powered Financial Forecasting: Enhancing Accuracy with Machine Learning in Enterprise System
    Authors: S. Tewari
    Year: 2023)

  6. Title: Detecting Data Drift and Ensuring Observability with Machine Learning Automation
    Authors: A. Chitnis, S. Tewari
    Year: 2022

  7. Title: Anomaly Detection in Large Scale Data Platforms with Machine Learning
    Authors: S. Tewari
    Year: 2022

  8. Title: Leveraging Graph Based Machine Learning to Analyze Complex Enterprise Data Relationships
    Authors: S. Tewari, A. Chitnis
    Year: 2021

Xiaoxu Liu | Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Xiaoxu Liu | Engineering | Best Researcher Award

Associate Professor at Shenzhen Technology University, China

Dr. Xiaoxu Liu is an accomplished Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. He holds a Ph.D. in Electrical Engineering from the University of Northumbria and specializes in robust fault diagnosis, fault-tolerant control, stochastic systems, and multi-agent systems. Dr. Liu has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and Automatica, and has served as Associate Editor for IEEE Transactions on Industrial Informatics. He has led multiple nationally funded research projects, securing over 3 million RMB in grants. His work integrates control theory with data-driven methods, addressing challenges in cyber-physical systems. Recognized as a Shenzhen Overseas High-level Talent, he has received numerous awards for research excellence and student mentorship. With international research experience and significant editorial contributions, Dr. Liu is a prominent figure in intelligent systems and control, demonstrating both academic leadership and impactful research contributions.

Professional Profile 

Scopus Profile

Education

Dr. Xiaoxu Liu possesses a strong and progressive academic background in engineering and applied mathematics. He earned his Ph.D. in Electrical Engineering from the University of Northumbria in the UK (2014–2018), where he specialized in fault-tolerant control systems and robust estimation. Prior to this, he completed a Master’s degree in Operations Research and Cybernetics at Northeastern University (2012–2014), and a Bachelor’s degree in Information and Computing Science at the same university (2008–2012). His educational path reflects a solid foundation in both theoretical and applied aspects of control systems, cybernetics, and intelligent systems. This combination of mathematical rigor and engineering application has laid the groundwork for his interdisciplinary research approach. His international academic journey has also helped him build a global perspective and a collaborative mindset, both of which have been instrumental in his subsequent professional and research achievements.

Professional Experience

Dr. Xiaoxu Liu has built an impressive academic and research career marked by rapid progression and leadership. Since December 2021, he has served as an Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. Before that, he was an Assistant Professor at the same institution from 2018 to 2021. He also held research and teaching positions internationally, including as a Research Associate at the Faculty of Mathematics, City University of Hong Kong, and as a Lecturer at the University of Northumbria. Throughout these roles, Dr. Liu has led cutting-edge research projects, mentored students, and contributed to institutional development. He has acted as the principal investigator for numerous funded research programs, reflecting his capacity to lead independently and strategically. His experience demonstrates not only academic proficiency but also a sustained commitment to advancing intelligent systems research and fostering interdisciplinary collaboration in both teaching and applied engineering contexts.

Research Interest

Dr. Xiaoxu Liu’s research spans several high-impact areas within intelligent systems and control engineering. His primary interests include robust fault diagnosis, fault-tolerant control, stochastic nonlinear systems, and multi-agent systems. He also ocuses on cyber-physical systems and data-driven control, areas highly relevant to Industry 4.0 and autonomous system applications. Dr. Liu’s work often combines theoretical rigor with practical relevance, leveraging modern tools like deep reinforcement learning and Takagi-Sugeno fuzzy models to address real-world challenges such as actuator faults in UAVs or wind turbine resilience. His interdisciplinary approach blends classical control theory with artificial intelligence, enhancing system adaptability and reliability. His research outputs—published in top-tier journals like IEEE Transactions on Industrial Electronics—demonstrate not only novelty but also applicability to emerging technologies. Dr. Liu’s ability to connect robust theory with practical implementations positions him as a thought leader in intelligent manufacturing and autonomous system control.

ward and Honor

Dr. Xiaoxu Liu has received multiple awards that recognize his research excellence, academic leadership, and contributions to engineering education. He was honored as a Shenzhen Overseas High-level Talent in 2019, highlighting his strategic value to China’s academic and technological development. He has earned several Best Paper and Best Presentation Awards from prestigious conferences and journals, such as the IEEE Industrial Electronics Society and Processes. Dr. Liu also received the IEEE IES Student Paper Travel Award and various recognitions for his mentorship of student teams who achieved national-level prizes in robotics and circuit design competitions. These accolades underscore both the quality and impact of his scholarly work and his dedication to student development. His involvement as an Associate Editor for IEEE Transactions on Industrial Informatics and reviewer for top IEEE journals further validates his status as a trusted expert in his field. These honors collectively reflect his rising prominence in the global research community.

Conclusion

In summary, Dr. Xiaoxu Liu stands out as a highly capable and accomplished researcher in the field of intelligent control systems. With a solid educational foundation, diverse professional experience across top institutions, and a research portfolio that blends theoretical innovation with real-world application, he exemplifies academic excellence. His focus on robust fault diagnosis, resilient control systems, and data-driven approaches addresses some of the most pressing challenges in cyber-physical systems and smart manufacturing. Recognized nationally and internationally through numerous awards, editorial roles, and funded projects, Dr. Liu has established himself as a leader in his domain. He continues to advance the field through impactful publications, student mentorship, and collaborative projects. His trajectory reflects not only technical expertise but also a broader commitment to scientific progress and educational excellence. As such, Dr. Liu is highly deserving of recognition through accolades such as the Best Researcher Award.

Publications Top Notes

  • Title: Joint Observer Based Fault Tolerant Control for Discrete-Time Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables

    • Authors: Xiaoxu Liu, Risheng Li, Zhiwei Gao, Bowen Li, Tan Zhang

    • Year: 2025

  • Title: Multiagent Formation Control and Dynamic Obstacle Avoidance Based on Deep Reinforcement Learning

    • Authors: Zike Yuan, Chenhao Yao, Xiaoxu Liu, Zhiwei Gao, Wenwei Zhang

    • Year: 2025

  • Title: Fault Estimation for Cyber–Physical Systems with Intermittent Measurement Transmissions via a Hybrid Observer Approach

    • Authors: Jingjing Yan, Chao Deng, Weiwei Che, Xiaoxu Liu

    • Year: 2024

    • Citations: 5

  • Title: Reinforcement Learning-Based Fault-Tolerant Control for Quadrotor UAVs Under Actuator Fault

    • Authors: Xiaoxu Liu, Zike Yuan, Zhiwei Gao, Wenwei Zhang

    • Year: 2024

    • Citations: 12

Sheikh Shanawaz Mostafa | Computer Science | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Sheikh Shanawaz Mostafa | Computer Science | Best Researcher Award

PostDoc at Instituto Superior Técnico, Portugal

Dr. Sheikh Shanawaz Mostafa is a dynamic researcher with over 12 years of experience in artificial intelligence, biomedical engineering, and computer science. He has an impressive track record of over 60 publications with a cumulative impact factor exceeding 144 and has contributed to impactful projects in healthcare, agriculture, energy, and smart systems. With academic credentials spanning Bangladesh and Portugal, including a Ph.D. from Instituto Superior Técnico, his work bridges interdisciplinary fields and real-world applications. He has led and contributed to high-profile projects such as Sleep Revolution, BASE, and AHEAD, demonstrating expertise in deep learning, explainable AI, and human-in-the-loop systems. Dr. Mostafa has supervised Ph.D., M.Sc., and B.Sc. theses, secured international research funding, and collaborated with institutions like Carnegie Mellon University and companies such as Zomato. Known for his mentorship, cross-cultural adaptability, and innovative thinking, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Sheikh Shanawaz Mostafa holds a Ph.D. in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon, Portugal, where he specialized in Networked Interactive Cyber-Physical Systems, a joint program with Carnegie Mellon University. He completed his M.Sc. in Biomedical Engineering and B.Sc. in Electronics and Communication Engineering from Khulna University of Engineering & Technology (KUET), Bangladesh. Throughout his academic journey, he has maintained a strong interdisciplinary focus, integrating electrical engineering, biomedical systems, and artificial intelligence. His Ph.D. thesis on sleep apnea detection was awarded “Pass with Distinction,” reflecting his academic excellence and research impact. With a consistent academic record across diverse technical disciplines, Dr. Mostafa’s educational background has provided a solid foundation for innovative research at the intersection of AI and health technologies.

Professional Experience

Dr. Mostafa brings over 12 years of international academic and experience, having worked with renowned institutions such as Instituto Superior Técnico, Madeira Interactive Technologies Institute, ARDITI, and KUET. Currently serving as a Postdoctoral Researcher (R3) at Instituto Superior Técnico, he has held multiple roles as an AI consultant, assistant professor, and principal researcher across EU-funded and industry-partnered projects. His key projects include Sleep Revolution, BASE (banana harvesting optimization), AHEAD (EV infrastructure planning), and RRSO (restaurant sentiment analytics). Dr. Mostafa has demonstrated excellence in leading interdisciplinary teams, securing competitive research grants, and collaborating with industry partners like Zomato and Asseco PST. He has also mentored numerous Ph.D., M.Sc., and undergraduate students and actively contributes to curriculum development. His ability to bridge academic research with practical, high-impact applications highlights his value as both a researcher and educator.

Research Interest

Dr. Mostafa’s research interests lie at the intersection of artificial intelligence and real-world problem-solving. His primary focus includes deep learning, explainable AI, machine learning, and human-in-the-loop systems, particularly in applications related to healthcare, biomedical signal analysis, smart agriculture, energy systems, and natural language processing. He has contributed significantly to advancing AI-driven diagnostics, such as in sleep disorder analysis, and to building predictive models for fields ranging from sports performance to restaurant sentiment analysis. He is also interested in the integration of AI into smart cities and infrastructure, including EV charging optimization and real-time decision systems. His interdisciplinary approach allows him to explore novel AI applications in medicine, agritech, and environmental systems. Combining theoretical modeling with applied innovation, Dr. Mostafa’s work seeks to create intelligent systems that are not only technically robust but also socially and economically impactful.

Award and Honor

Dr. Sheikh Shanawaz Mostafa has earned recognition throughout his academic and professional career for his contributions to research and education. While formal award listings are not detailed, his achievements—such as securing over $25,000 in competitive research funding, earning a Ph.D. with Distinction, publishing in high-impact journals, and successfully leading EU and industry-sponsored research projects—reflect significant professional recognition. His selection for collaborative international programs like the CMU-Portugal partnership, and his roles in innovative projects supported by organizations like the Portuguese Foundation for Science and Technology (FCT), further highlight his esteemed standing in the academic and research community. His work has also been showcased in prestigious venues, such as the Electronic Imaging conference in San Francisco. The impact of his research and mentorship, as well as the trust placed in him by academic and industrial collaborators, is a testament to his excellence and potential for future honors.

Conclusion

Dr. Sheikh Shanawaz Mostafa exemplifies the qualities of a leading interdisciplinary researcher, combining deep technical expertise with a commitment to solving real-world challenges through AI and engineering. His strong academic foundation, international experience, and impressive publication record reflect a sustained dedication to research excellence. He has not only led cutting-edge projects across healthcare, smart systems, and agriculture, but also mentored the next generation of scholars, thereby extending his impact. His adaptability across cultural and institutional contexts, successful collaborations with industry, and ability to secure research funding mark him as a forward-thinking and versatile contributor to the global scientific community. With a clear trajectory of growth, innovation, and leadership, Dr. Mostafa is highly deserving of recognition such as the Best Researcher Award and stands poised to make even greater contributions in the future.

Publications Top Notes

  • Title: A review of obstructive sleep apnea detection approaches
    Authors: F. Mendonca, S.S. Mostafa, A.G. Ravelo-Garcia, F. Morgado-Dias, T. Penzel
    Year: 2018
    Citations: 235

  • Title: An adaptive level dependent wavelet thresholding for ECG denoising
    Authors: M.A. Awal, S.S. Mostafa, M. Ahmad, M.A. Rashid
    Year: 2014
    Citations: 198

  • Title: A systematic review of detecting sleep apnea using deep learning
    Authors: S.S. Mostafa, F. Mendonça, A.G. Ravelo-García, F. Morgado-Dias
    Year: 2019
    Citations: 175

  • Title: Devices for home detection of obstructive sleep apnea: A review
    Authors: F. Mendonça, S.S. Mostafa, A.G. Ravelo-García, F. Morgado-Dias, T. Penzel
    Year: 2018
    Citations: 137

  • Title: A review of approaches for sleep quality analysis
    Authors: F. Mendonça, S.S. Mostafa, F. Morgado-Dias, A.G. Ravelo-Garcia, T. Penzel
    Year: 2019
    Citations: 119

  • Title: SpO2 based Sleep Apnea Detection using Deep Learning
    Authors: S.S. Mostafa, F. Mendonça, F. Morgado-Dias, A. Ravelo-García
    Year: 2017
    Citations: 86

  • Title: Performance analysis of Savitzky-Golay smoothing filter using ECG signal
    Authors: M.A. Awal, S.S. Mostafa, M. Ahmad
    Year: 2011
    Citations: 79

  • Title: XGB-RF: A hybrid machine learning approach for IoT intrusion detection
    Authors: J.A. Faysal, S.T. Mostafa, J.S. Tamanna, K.M. Mumenin, M.M. Arifin, M.A. Awal, …
    Year: 2022
    Citations: 66

  • Title: Multi-objective hyperparameter optimization of CNN for obstructive sleep apnea detection
    Authors: S.S. Mostafa, F. Mendonca, A.G. Ravelo-Garcia, G.G. Juliá-Serdá, …
    Year: 2020
    Citations: 56

  • Title: Human emotion recognition using frequency & statistical measures of EEG signal
    Authors: M. Islam, T. Ahmed, S.S. Mostafa, M.S.U. Yusuf, M. Ahmad
    Year: 2013
    Citations: 50

  • Title: Implementation strategy of CNNs on FPGAs for appliance classification using VI trajectory
    Authors: D. Baptista, S.S. Mostafa, L. Pereira, L. Sousa, F. Morgado-Dias
    Year: 2018
    Citations: 47

  • Title: Automatic detection of cyclic alternating pattern
    Authors: F. Mendonça, A. Fred, S.S. Mostafa, F. Morgado-Dias, A.G. Ravelo-García
    Year: 2022
    Citations: 39

  • Title: Optimization of sleep apnea detection using SpO2 and ANN
    Authors: S.S. Mostafa, J.P. Carvalho, F. Morgado-Dias, A. Ravelo-García
    Year: 2017
    Citations: 37

  • Title: An oximetry based wireless device for sleep apnea detection
    Authors: F. Mendonça, S.S. Mostafa, F. Morgado-Dias, A.G. Ravelo-García
    Year: 2020
    Citations: 30

  • Title: Design and optimization of ECG modeling for generating different cardiac dysrhythmias
    Authors: M.A. Awal, S.S. Mostafa, M. Ahmad, M.A. Alahe, M.A. Rashid, A.Z. Kouzani, …
    Year: 2021
    Citations: 26

Alexander Lenshin | Materials Science | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Alexander Lenshin | Materials Science | Best Researcher Award

Leading researcher at Voronezh State University, Russia

Dr. Alexander Sergeevich Lenshin is a distinguished physicist and researcher, holding a Doctorate in Physical and Mathematical Sciences and serving as a leading researcher and associate professor at Voronezh State University. With over 14 years of academic and scientific experience, he has authored more than 100 publications, including numerous papers in high-impact Q1 journals. His research focuses on nanostructured materials, semiconductor heterostructures, and advanced 3D printing technologies. Dr. Lenshin has successfully led prestigious grants from the President of the Russian Federation, RFBR, and RSF, and serves as an expert for the Russian Science Foundation. He actively mentors graduate students and contributes to educational program development. His achievements have earned him regional awards and national recognition, including inclusion in the Strategic Talent Reserve of the Ministry of Science and Higher Education. Committed to both scientific excellence and education, Dr. Lenshin exemplifies the qualities of a leading researcher and academic innovator.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Alexander Sergeevich Lenshin received his foundational education at Voronezh State University, where he completed his Bachelor’s degree in 2004 and Master’s degree in 2006 in physics-related disciplines. He earned his Candidate of Physical and Mathematical Sciences (Ph.D. equivalent) in 2009 and his Doctor of Sciences degree in 2021 from the same institution, signifying a high level of academic excellence in the Russian academic hierarchy. His academic journey reflects a consistent commitment to deepening his expertise in physics and materials science. Beyond his formal education, Dr. Lenshin has completed numerous advanced training and professional development programs, including qualifications in semiconductor device project management, digital science and technology, labor safety, and strategic leadership. These programs have further enhanced his interdisciplinary competence and administrative capacity in the scientific and academic community. His academic foundation is both rigorous and diverse, equipping him for leadership roles in research and higher education.

Professional Experience

Dr. Lenshin has amassed over 14 years of experience in higher education and scientific research. He is currently a leading researcher and associate professor at Voronezh State University, where he teaches core physics courses and specialized subjects such as additive technologies in microelectronics. His professional activities span teaching, research supervision, curriculum development, and administrative contributions. He has mentored graduate and postgraduate students and actively promotes their participation in national and international scientific conferences. In addition to his academic duties, he plays a vital role in institutional development by contributing to the design of postgraduate training programs in physical sciences. His service also includes judging student science tournaments and mentoring innovation leagues, showcasing his dedication to student engagement and scientific outreach. Dr. Lenshin’s career is characterized by a balance of teaching, mentorship, and high-level scientific inquiry, making him a well-rounded academic professional and a key figure in advancing physics education and research.

Research Interest

Dr. Alexander Lenshin’s research focuses on the physics and engineering of low-dimensional nanostructures, advanced materials, and semiconductor heterostructures. His work includes the study of porous silicon, GaN/SiC-based hybrid structures, and polylactide-based polymers, with applications in microelectronics, photonics, and optoelectronics. He is particularly interested in the morphological, optical, and structural characterization of materials using methods such as Raman spectroscopy, molecular beam epitaxy, and various nano-fabrication techniques. A key theme in his research is understanding and controlling the physical properties of hybrid systems to optimize their functional performance in real-world applications. His interdisciplinary approach merges materials science with applied physics and nanoengineering. Dr. Lenshin’s scientific contributions are evidenced by more than 100 published works, many in top-tier journals, and his leadership in several funded research projects. His research stands at the forefront of modern materials science and has implications for next-generation electronic and photonic devices.

Award and Honor

Dr. Alexander Lenshin has received multiple prestigious awards in recognition of his scientific and educational contributions. He was a recipient of the Young Scientists and Specialists Award of the Voronezh Region in 2022 and previously won the Government of Voronezh Region Prize for Scientific Development in 2013. In 2018, he was awarded an honorary diploma by the city administration for his long-standing contributions to science and education. Dr. Lenshin has twice secured the highly competitive Presidential Grants of the Russian Federation, emphasizing his national standing as a researcher. He has also led projects supported by the Russian Foundation for Basic Research (RFBR) and the Russian Science Foundation (RSF). His role as an expert for the RSF and guest editor for the journal Coatings (MDPI, Scopus Q2) further highlights his influence within the scientific community. In 2024, he was included in the Ministry of Science and Higher Education’s Strategic Talent Reserve, a notable distinction for leadership in science and education.

Conclusion

Dr. Alexander Sergeevich Lenshin is an accomplished physicist, researcher, and educator whose career reflects a deep commitment to advancing science and higher education. With a strong academic foundation, extensive teaching experience, and a prolific research record in advanced materials and nanostructures, he exemplifies scientific leadership. His success in securing competitive research grants and mentoring the next generation of scientists underscores his influence in both national and institutional contexts. Recognized with multiple regional and governmental awards, Dr. Lenshin has demonstrated excellence in both individual and collaborative scientific endeavors. His inclusion in the Strategic Talent Reserve signals national confidence in his potential for higher leadership roles in science and technology policy. As a researcher, mentor, and academic innovator, he embodies the values and qualifications deserving of top honors such as the Best Researcher Award. Dr. Lenshin’s trajectory continues to make significant contributions to the field of physical sciences and the broader research community.

Publications Top Notes

  • Examining the morphology and surface composition of a nanostructured tin film on porous silicon
    Authors: Ksenia B. Kim, Alexander S. Lenshin, Sergei S. Chernenko, Sabukhi Ilich ogly Niftaliev, Andrey I. Chukavin
    Year: 2024
    Citation: DOI: 10.1364/JOT.91.000675

  • Microstructural and hydrophilic properties of polyethylene terephthalate glycol polymer samples with different 3D printing patterns
    Authors: Alexander S. Lenshin, Vera E. Frolova, Sergey A. Ivkov, Evelina P. Domashevskaya
    Year: 2024
    Citation: DOI: 10.17308/kcmf.2024.26/11810

  • Study of semi-polar gallium nitride grown on m-sapphire by chloride vapor-phase epitaxy
    Authors: P. V. Seredin, N. A. Kurilo, Ali O. Radam, N. S. Builov, D. L. Goloshchapov, S. A. Ivkov, A. S. Lenshin, et al.
    Year: 2023
    Citation: DOI: 10.17308/kcmf.2023.25/10978

  • Comparative studies of nanoscale columnar AlxGa1-xN/AlN heterostructures grown by plasma-assisted molecular-beam epitaxy on cSi, porSi/cSi and SiC/porSi/cSi substrates
    Authors: P.V. Seredin, D.L. Goloshchapov, N.A. Kurilo, Ali Obaid Radam, V.M. Kashkarov, A.S. Lenshin, et al.
    Year: 2023
    Citation: DOI: 10.1016/j.optmat.2023.114451

  • Structure and composition of a composite of porous silicon with deposited copperAuthors: Alexander S. Lenshin, Kseniya B. Kim, Boris L. Agapov, Vladimir M. Kashkarov, Anatoly N. Lukin, Sabukhi I. Niftaliyev
    Year: 2023
    Citation: DOI: 10.17308/kcmf.2023.25/11259

  • Characteristics of the formation and composition of AlxGa1-xN/AlN/por-Si/Si(111) heterostructures grown using a porous silicon buffer layer
    Authors: Alexander S. Lenshin, Pavel V. Seredin, Dmitry S. Zolotukhin, Artemy N. Belyukov, Andrey M. Mizerov, Igor A. Kasatkin, et al.
    Year: 2022
    Citation: DOI: 10.17308/kcmf.2022.24/9055

  • Application of Sorption Analysis in the Study of Various Nanomaterials Used in Electronics Depending on their Composition and Production Conditions
    Authors: A. S. Lenshin, E. V. Maraeva
    Year: 2022
    Citation: DOI: 10.32603/1993-8985-2022-25-1-47-53

  • Features of the two-stage formation of macroporous and mesoporous silicon structures
    Authors: Alexander S. Lenshin, Anatoly N. Lukin, Yaroslav A. Peshkov, Sergey V. Kannykin, Boris L. Agapov, Pavel V. Seredin, Evelina P. Domashevskaya
    Year: 2021
    Citation: DOI: 10.17308/kcmf.2021.23/3300

  • Influence of electrochemical etching modes in single- and two-stage formation of porous silicon on oxidation of its surface layers under natural conditions
    Authors: Alexander S. Lenshin, Konstantin A. Barkov, Natalya G. Skopintseva, Boris L. Agapov, Evelina P. Domashevskaya
    Year: 2019
    Citation: DOI: 10.17308/kcmf.2019.21/2364