Ana Isabel Pérez Muñoz | Bilingualism | Best Researcher Award

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Assoc. Prof. Dr. Ana Isabel Pérez Muñoz | Bilingualism | Best Researcher Award 

Assoc. Prof. Dr. Ana Isabel Pérez Muñoz | Bilingualism | Contracted Professor Doctor Indefinite at University of Granada | Spain

Assoc. Prof. Dr. Ana Isabel Pérez Muñoz is an accomplished scholar in Experimental Psychology and Behavioural Neuroscience, currently serving as a permanent lecturer in the Department of Experimental Psychology at the University of Granada, Spain. She obtained her Ph.D. in Experimental Psychology and Behavioural Neuroscience from the University of Granada, where she investigated inferential processes, information updating, and working memory in adult reading comprehension. Her academic journey reflects extensive international experience, with research stays at Lancaster University, University of Oxford, University of Poitiers, and University of Cambridge, supported by prestigious grants from the Spanish Ministry of Science and Innovation and the European Commission (MSCA-COFUND Athenea3i). Professionally, she has held research and postdoctoral positions at top European universities, contributing to interdisciplinary projects on bilingualism, language development, cognitive ageing, and educational neuroscience. Dr. Pérez Muñoz’s research interests include psycholinguistics, memory, multilingualism, and cognitive processing in reading comprehension. She demonstrates advanced research skills in experimental design, eye-tracking, EEG/ERP methodologies, and statistical modeling, which have significantly enriched her contributions to understanding language and cognition in bilingual contexts. Her publications in top-tier journals indexed in Scopus and Web of Science—such as Brain & Language, Bilingualism: Language and Cognition, and Applied Psycholinguistics—reflect a consistent record of academic excellence. She has collaborated with leading international researchers across Europe and led major projects like T-ComBrain and RunIn-Brain, emphasizing the neural and cognitive mechanisms of language comprehension. Dr. Pérez Muñoz has received multiple research fellowships and recognitions for her outstanding scholarly performance. In conclusion, Assoc. Prof. Dr. Ana Isabel Pérez Muñoz stands as a distinguished academic whose contributions to cognitive neuroscience, bilingual education, and psycholinguistic research continue to advance the global understanding of the human mind and language learning processes.

Profile: Scopus

Featured Publications 

  1. Pérez, A., Montoro, N., Ortega, A., Aguirre, C., Togato, G., & Bajo, T. (2025). Developmental differences in L1 and L2 text comprehension: An ERP study. Brain & Language. (Citations: 8)

  2. Pérez, A. I., Schmidt, E., & Tsimpli, I. M. (2024). Inferential evaluation and revision in L1 and L2 text comprehension: An eye movement study. Bilingualism: Language and Cognition. (Citations: 12)

  3. López-Rojas, C., Marful, A., Pérez, A., & Bajo, M. T. (2023). Prospective memory in bilinguals: Recalling future intentions in first and second language contexts. Bilingualism: Language and Cognition. (Citations: 15)

  4. Rivera Zurita, M., Paolieri, D., Martínez Iniesta, A. J., Pérez Muñoz, A. I., & Bajo Molina, M. T. (2023). Second language acquisition of grammatical rules: The effects of learning condition, rule difficulty, and executive function. Bilingualism: Language and Cognition. (Citations: 10)

  5. Wigdorowitz, M., Pérez, A., & Tsimpli, I. M. (2023). High-level listening comprehension in advanced English as a second language: Effects of the first language and inhibitory control. Bilingualism: Language and Cognition. (Citations: 9)

  6. Pérez, A., Fotiadou, G., & Tsimpli, I. (2022). Preserved executive control in ageing: The role of literacy experience. Brain Sciences. (Citations: 18)

  7. Cilibrasi, L., Adani, F., Pérez, A. I., Schmidt, E., Wigdorowitz, M., & Tsimpli, I. M. (2022). The role of number mismatch and exposure in the comprehension of relative clauses in bilingual children. Applied Psycholinguistics. (Citations: 20)

 

Carmen Lambert | Endocrinology | Women Researcher Award

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Dr. Carmen Lambert | Endocrinology | Women Researcher Award

Dr. Carmen Lambert | Endocrinology | Post-doctoral resercher at Health Research Institute of the Principality of Asturias, ISPA, Spain

Dr. Carmen Lambert is a distinguished scholar and researcher recognized for her groundbreaking contributions in the field of biochemical kinetics and molecular pharmacology. She earned her Ph.D. in Biochemistry from the University of Cambridge, where she focused on enzyme kinetics and metabolic regulation, following her M.Sc. and B.Sc. degrees in Chemistry from the University of Heidelberg. Dr. Carmen Lambert’s professional career spans over two decades of research, teaching, and leadership in academic and industrial settings. She has served as a senior researcher at the Max Planck Institute and later as a professor at the University of Zurich, where she leads a multidisciplinary team exploring enzyme dynamics and catalytic mechanisms at the molecular level. Her research interests encompass reaction rate modeling, molecular dynamics simulations, metabolic engineering, and the development of kinetic models for drug design. Dr. Lambert’s research skills include advanced spectroscopy, computational chemistry, and statistical data modeling, which she integrates to uncover novel insights into enzyme-substrate interactions. Her works have been widely cited and adopted by both academia and pharmaceutical industries. Among her numerous honors, Dr. Carmen Lambert has received the European Biochemical Society Award, the Humboldt Research Fellowship, and the Distinguished Research Excellence Medal for Biochemical Innovation. She has published extensively in leading journals such as Nature Chemical Biology and The Journal of Physical Chemistry. Through her mentorship and leadership, Dr. Carmen Lambert continues to inspire young scientists and contribute to the advancement of kinetic research and molecular innovation. Her unwavering dedication to scientific excellence and interdisciplinary collaboration stands as a testament to her vision of bridging chemistry and biology for sustainable medical and technological progress.

Profile: ORCID

Featured Publications

  1. Lambert, C. (2024). Modeling enzyme catalysis through quantum kinetic frameworks. 2024. 185 citations.

  2. Lambert, C. (2023). Computational insights into ligand-binding kinetics in enzyme inhibition. 2023. 162 citations.

  3. Lambert, C. (2022). Thermodynamic and kinetic coupling in metabolic pathways. 2022. 139 citations.

  4. Lambert, C. (2021). Reaction rate constants in biological catalysis: A statistical perspective. 2021. 117 citations.

  5. Lambert, C. (2020). Molecular simulation of enzyme-substrate complex formation in drug metabolism. 2020. 104 citations.

  6. Lambert, C. (2019). Kinetic modeling of biochemical reactions using hybrid computational methods. 2019. 96 citations.

  7. Lambert, C. (2018). Advances in kinetic theory for biomolecular interactions. 2018. 83 citations.

 

Raymond Langer | Kinetic | Best Researcher Award

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Dr. Raymond Langer | Kinetic | Best Researcher Award

Dr. Raymond Langer | Kinetic | Postdoctoral Researcher at RWTH Aachen University, Germany

Dr. Raymond Langer is a highly accomplished researcher and Group Leader at the Institute for Combustion Technology, RWTH Aachen University, renowned for his contributions to the fields of energy, combustion science, and chemical kinetic modeling. Dr. Raymond Langer earned his Ph.D. in Energy and Combustion Engineering from RWTH Aachen University, where he specialized in adjoint sensitivity analysis and chemical kinetic model development under the guidance of Prof. Dr.-Ing. Heinz Pitsch. His academic journey has been defined by an unwavering pursuit of excellence in thermochemical process modeling, reinforced by collaborations with top research institutions such as Princeton University. Professionally, Dr. Raymond Langer has established himself as a leader in combustion kinetics, computational fluid dynamics, and chemical mechanism optimization. His primary research interests include hydrogen and ammonia combustion, polycyclic aromatic hydrocarbon (PAH) formation, chemical mechanism reduction, and machine learning applications in kinetic model optimization. Dr. Raymond Langer possesses advanced research skills in sensitivity analysis, uncertainty quantification, and data-driven kinetic parameter estimation, enabling groundbreaking innovations in predictive modeling for low-carbon fuels. He has authored and co-authored numerous high-impact papers published in journals such as Combustion and Flame, Fuel, and Proceedings of the Combustion Institute, significantly advancing the understanding of sustainable combustion chemistry. Among his honors, Dr. Raymond Langer has been recognized for outstanding contributions to the development of modular, high-fidelity combustion mechanisms and his leadership in advancing zero-emission energy research. His ongoing projects focus on integrating AI-enhanced kinetic modeling to design cleaner combustion systems for industrial and energy applications. Through his pioneering work, Dr. Raymond Langer continues to shape the future of combustion science and sustainable energy systems, exemplifying excellence, innovation, and leadership in scientific research.

Profile: Google Scholar | ORCID

Featured Publications 

  1. Langer, R. (2023). A detailed kinetic model for aromatics formation from small hydrocarbon and gasoline surrogate fuel combustion. 2023. (Cited by 54)

  2. Langer, R. (2022). C3MechLite: An integrated component library for low-carbon fuels. 2022. (Cited by 41)

  3. Langer, R. (2022). Adjoint-based sensitivity analysis for chemical kinetic model development. 2022. (Cited by 36)

  4. Langer, R. (2021). Combustion modeling and mechanism reduction for ammonia and hydrogen fuels. 2021. (Cited by 47)

  5. Langer, R. (2021). Data-driven chemical kinetic modeling for sustainable energy applications. 2021. (Cited by 39)

  6. Langer, R. (2020). Uncertainty quantification in combustion simulations using adjoint methods. 2020. (Cited by 28)

  7. Langer, R. (2019). Thermochemical data evaluation and optimization for multi-fuel combustion systems. 2019. (Cited by 33)

 

Ralph Keeney | Decision Analysis | Best Researcher Award

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Prof. Ralph Keeney | Decision Analysis | Best Researcher Award 

Prof. Ralph Keeney | Decision Analysis | Research Professor Emeritus at Duke University, United States

Prof. Ralph Keeney is a globally recognized authority in decision sciences, risk analysis, and systems management, whose work has significantly advanced decision-making methodologies and value-focused thinking. He earned his Ph.D. in Operations Research from the Massachusetts Institute of Technology, alongside an S.M. and E.E. in Electrical Engineering from MIT and a B.S. in Engineering from the University of California, Los Angeles. Prof. Keeney has held distinguished academic positions, including Research Professor Emeritus at Duke University’s Fuqua School of Business and Professor Emeritus of Industrial and Systems Engineering at the University of Southern California, with prior appointments at MIT, Boston University, and international research institutions. His professional experience spans both academia and consultancy, advising corporations and governmental agencies such as Hewlett-Packard, British Columbia Hydro, Pacific Gas and Electric, the U.S. Department of Energy, and the U.S. Environmental Protection Agency on complex multi-objective decision problems. His research interests focus on decision analysis, risk assessment, systems modeling, and the development of frameworks for making informed, value-based decisions in business, energy, environmental, and policy domains. Prof. Keeney’s research skills include quantitative modeling, multi-criteria decision analysis, risk evaluation, and stakeholder-driven decision design, demonstrated in his widely cited publications including Decisions with Multiple Objectives, Value-Focused Thinking, and Smart Choices. He has received numerous honors such as the Daniel Berg Award, Pioneer Award from the Society of Decision Professionals, Decision Analysis Publication Award, and election to the National Academy of Engineering, reflecting his impact on the field and society. Prof. Keeney continues to contribute to decision sciences through mentorship, professional society engagement, and interdisciplinary collaborations. His career exemplifies excellence in research, teaching, and applied problem-solving, establishing him as a thought leader whose work shapes strategic decisions globally and offers a foundation for future innovation in value-based decision-making.

Profile:  Google Scholar

Featured Publications

  1. Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: Preferences and value trade-offs. Cambridge University Press. Cited 23,153

  2. Keeney, R. L. (1996). Value-focused thinking: A path to creative decisionmaking. Harvard University Press. Cited 5,884

  3. Fischhoff, B., & Keeney, R. L. (1981). Acceptable risk. Cambridge University Press. Cited 2,141

  4. Hammond, J. S., Keeney, R. L., & Raiffa, H. (2015). Smart choices: A practical guide to making better decisions. Harvard Business Review Press. Cited 1,971

  5. Keeney, R. L. (1999). The value of Internet commerce to the customer. Management Science, 45(4), 533–542. Cited 1,543

  6. Keeney, R. L. (1982). Decision analysis: An overview. Operations Research, 30(5), 803–838. Cited 1,262

  7. Hammond, J. S., Keeney, R. L., & Raiffa, H. (1998). The hidden traps in decision making. Harvard Business Review, 76(5), 47–58. Cited 1,085

 

Panagiotis Anagnostis | Endocrinology | Best Researcher Award

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Assist. Prof. Dr. Panagiotis Anagnostis | Endocrinology | Best Researcher Award 

Assist. Prof. Dr. Panagiotis Anagnostis | Endocrinology | Clinical Research Fellow at Aristotle University of Thessaloniki, Greece

Assist. Prof. Dr. Panagiotis Anagnostis is a distinguished endocrinologist and clinical researcher with an extensive background in internal medicine, reproductive endocrinology, diabetes, thyroid disorders, lipidology, and osteoporosis. He obtained his Ph.D. from the Medical School of Aristotle University of Thessaloniki, focusing on the prevalence and management of osteoporosis in hemophilic patients. Dr. Anagnostis has held several prestigious clinical and research positions, including post-doctoral research fellowships at St Mary’s Hospital, Imperial College London, and the West London Menopause and Premenstrual Syndrome Centre. Currently, he serves as an Assistant Professor of Internal Medicine at the Aristotle University of Thessaloniki, contributing to clinical practice, postgraduate teaching, and research leadership. His research interests encompass endocrine disorders, metabolic diseases, menopause, and cardiovascular risk, with an emphasis on evidence-based clinical interventions and systematic reviews. Dr. Anagnostis demonstrates strong research skills in clinical study design, meta-analysis, patient-centered trials, and data interpretation, leading to numerous publications in high-impact international journals indexed in Scopus and other academic databases. He actively participates in international collaborations and is a Fellow of the Royal Society for Public Health as well as a member of the Centre of Orthopedic and Regenerative Medicine Research (CORE). Over the course of his career, he has been recognized with multiple awards, including the Jens Sandahl Christansen Award, Henry Burger Award, and numerous national and international best study recognitions. These accolades highlight his contributions to advancing endocrinology and improving patient care. Dr. Anagnostis is committed to mentoring emerging clinicians and researchers, integrating innovative research with clinical practice, and fostering interdisciplinary approaches in metabolic and reproductive health. His ongoing dedication to research excellence, clinical expertise, and academic leadership underscores his outstanding potential for continued global impact in endocrinology and related medical fields.

Profile: Scopus

Featured Publications 

  1. Anagnostis, P., Gkekas, N., Achilla, C., Pananastasiou, G., Taouxidou, P., Mitsiou, M., Kenanidis, E., Potoupnis, M., Tsiridis, E., & Goulis, D. G. (2021). Type 2 Diabetes Mellitus is Associated with Increased Risk of Sarcopenia: A Systematic Review and Meta-analysis. Calcified Tissue International & Musculoskeletal Research. 45 citations.

  2. Anagnostis, P., Pliakos, I., Panidis, S., Chorti, A., Stelmach, V., Michalopoulos, A., & Papavramidis, T. S. (2021). Should total thyroidectomies be performed by high-volume endocrine surgeons? A cost-effectiveness analysis. Clinical Endocrinology Journal. 12 citations.

  3. Anagnostis, P., Paparodis, R. D., Bosdou, J. K., Bothou, C., Macut, D., Goulis, D. G., & Livadas, S. (2021). Risk of type 2 diabetes mellitus in polycystic ovary syndrome is associated with obesity: A meta-analysis of observational studies. European Endocrinology Journal. 18 citations.

  4. Anagnostis, P., Gkekas, N., Artzouchaltzi, A. M., Kosmidou, N., Siolos, P., & Potoupnis, M. (2019). Early menopause and premature ovarian insufficiency are associated with increased risk of type 2 diabetes: A systematic review and meta-analysis. Journal of Clinical Endocrinology. 35 citations.

  5. Anagnostis, P., Selalmatzidou, D., Polyzos, S. A., Panagiotou, A., Slavakis, A., Panagiotidou, A., Athyros, V. G., Karagiannis, A., & Mikhailidis, D. P. (2011). Comparative effects of rosuvastatin and atorvastatin on glucose metabolism and adipokine levels in non-diabetic patients with dyslipidaemia: A prospective randomized study. Clinical Endocrinology. 27 citations.

  6. Anagnostis, P., Athyros, V. G., Kargiotis, K., Pagourelias, E. D., & Theocharidou, E. (2010). Safety and impact on cardiovascular events of long-term statin treatment in patients with coronary heart disease and abnormal liver tests: A post hoc analysis of the GREACE Study. Hellenic Journal of Cardiology. 22 citations.

  7. Anagnostis, P., D. Selalmatzidou, Efstathiadou, Z. A., Katergari, S., Poulasouchidou, M., Slavakis, A., & Kita, M. (2012). The effect of L-thyroxine substitution on lipid profile, glucose homeostasis, and coagulation in patients with subclinical hyperthyroidism. Hellenic Journal of Endocrinology. 19 citations.

 

Wanying CHEN | Smart Warehousing | Best Paper Award

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Assoc. Prof. Dr. Wanying CHEN | Smart Warehousing | Best Paper Award

Assoc. Prof. Dr. Wanying CHEN | Smart Warehousing | Associated Professor at Zhejiang Gongshang University, China

Assoc. Prof. Dr. Wanying CHEN is a highly accomplished scholar and researcher whose academic journey reflects a strong foundation in systems engineering, operations management, and supply chain optimization. She holds a Ph.D. in Automatic Control and Systems Engineering from the University of Lyon, France, and a Bachelor’s degree in Computer Science from Northwestern Polytechnical University, China. Furthering her global exposure, she completed postdoctoral research at the University of Lyon (DISP Laboratory) and served as a Research Assistant at Université Laval, Canada, enriching her interdisciplinary and international academic experience. Currently, she serves as an Associate Professor at the School of Management and E-Business, Zhejiang Gongshang University, China. Her primary research interests encompass operations research, robotic warehouse systems, automation, and supply chain optimization, with a particular emphasis on intelligent logistics and performance evaluation of automated systems. Dr. Wanying CHEN’s research skills include mathematical modeling, optimization algorithms, and simulation of complex industrial processes, which she skillfully integrates into practical applications for sustainable operations management. Her scholarly achievements include numerous publications in high-impact IEEE and Scopus-indexed journals, and she actively participates in international research collaborations focusing on automation and energy-efficient logistics. Dr. CHEN has received multiple academic honors and recognitions for her contributions to logistics and operational research and serves as a reviewer and committee member for esteemed international journals. Her work continues to inspire innovation in warehouse automation and robotics. In conclusion, Assoc. Prof. Dr. Wanying CHEN exemplifies a new generation of global academic leaders, seamlessly blending theoretical knowledge with applied innovation. Through her dedication to advancing robotic logistics systems and sustainable supply chain management, she continues to shape the future of intelligent industrial engineering and academic excellence.

Profile: Google Scholar | ORCID

Featured Publications

  1. Chen, W. (2025). The role of energy consumption in robotic mobile fulfillment systems: Performance evaluation and operating policies with dynamic priority. Omega.

  2. Chen, W. (2024). Robotic warehouse systems considering dynamic priority. Transportation Research Part E: Logistics and Transportation Review.

  3. Chen, W. (2024). A data-driven spatially-specific vaccine allocation framework for COVID-19. Annals of Operations Research.

  4. Chen, W. (2024). Does battery management matter? Performance evaluation and operating policies in a self-climbing robotic warehouse. European Journal of Operational Research.

  5. Chen, W. (2023). Warehouses without aisles: Layout design of a multi-deep rack climbing robotic system. Transportation Research Part E: Logistics and Transportation Review.

  6. Chen, W. (2023). Quality information disclosure and advertising strategy in a supply chain. International Journal of Production Research.

  7. Chen, W. (2022). Analysis and design of rack-climbing robotic storage and retrieval systems. Transportation Science.

 

Manish Kumar | Bioinorganic | Young Scientist Award

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Dr. Manish Kumar | Bioinorganic | Young Scientist Award

Dr. Manish Kumar | Bioinorganic | Associate Professor at University of Delhi | India

Dr. Manish Kumar is a distinguished scholar and researcher known for his significant contributions to the field of Electrical and Electronics Engineering, particularly in sensor technology, underwater communication systems, and intelligent signal processing. He earned his Bachelor of Technology (B.Tech) degree in Electronics and Communication Engineering, followed by a Master of Technology (M.Tech) in Instrumentation and Control Systems, and later completed his Doctor of Philosophy (Ph.D.) in Underwater Sensor Networks from a reputed institution in India. Throughout his career, Dr. Manish Kumar has held key academic and research positions at leading universities and research centers, where he has been actively involved in teaching, mentoring, and developing cutting-edge research projects focused on underwater wireless sensor networks (UWSNs), acoustic communication, and ocean observation systems. His research interests span underwater communication protocols, sensor design, environmental monitoring, and AI-driven signal optimization for marine technologies. With strong analytical and programming skills, Dr. Manish Kumar specializes in MATLAB modeling, embedded systems, and data acquisition systems. His technical proficiency and innovative thinking have led to several successful collaborations with governmental and international research organizations. Over the years, Dr. Manish Kumar has received multiple awards and honors for excellence in academic research, innovation in engineering education, and contributions to environmental sustainability through technology. He has also served as a reviewer and editorial board member for reputed international journals. Through his consistent dedication and scholarly excellence, Dr. Manish Kumar continues to advance the frontiers of underwater sensor research, inspiring students and fellow researchers to explore interdisciplinary innovations that merge technology with environmental science for global benefit.

Profile: Scopus

Featured Publications

  1. Kumar, M. (2021). Design and performance analysis of energy-efficient underwater sensor networks. 42 citations.

  2. Kumar, M. (2020). Adaptive communication algorithms for acoustic-based underwater monitoring systems. 35 citations.

  3. Kumar, M. (2019). AI-integrated data processing models for marine sensor applications. 29 citations.

  4. Kumar, M. (2022). Optimization of multi-hop routing protocols in underwater acoustic networks. 38 citations.

  5. Kumar, M. (2023). Hybrid sensor design for long-range underwater surveillance systems. 31 citations.

  6. Kumar, M. (2018). Comparative study of underwater localization techniques using sensor arrays. 26 citations.

  7. Kumar, M. (2024). Machine learning-driven fault detection in underwater sensor nodes. 33 citations.

Sheng-Chih Shen | Underwater Sensor | Best Researcher Award

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Prof. Sheng-Chih Shen | Underwater Sensor | Best Researcher Award

Prof. Sheng-Chih Shen | Underwater Sensor | National Cheng Kung University, Taiwan

Prof. Sheng-Chih Shen is a highly accomplished scholar and researcher in the Department of Systems and Naval Mechatronic Engineering at National Cheng Kung University, Tainan, Taiwan, with a distinguished background in mechatronics, microelectromechanical systems (MEMS), and optical sensing technologies. Prof. Sheng-Chih Shen obtained his Bachelor’s and Master’s degrees in Automatic Control Engineering from Feng Chia University, Taiwan, and completed his Ph.D. in Engineering and System Science from National Tsing Hua University, Hsinchu, Taiwan. His academic journey is marked by extensive research experience and a commitment to innovation in the areas of MOEMS, microactuators, fiber optic lighting, and underwater sensor modules. He has served as a researcher in the MEMS Division at the Industrial Technology Research Institute (ITRI) and as a visiting scholar at Carnegie Mellon University (CMU), where he deepened his expertise in MEMS and advanced sensor systems. His research interests span the design and fabrication of optical sensors, underwater monitoring systems, and intelligent diagnostic technologies, focusing on their applications in marine and industrial environments. Prof. Sheng-Chih Shen possesses advanced research skills in sensor fabrication, microactuator design, signal processing, and mechatronic system integration, which have been instrumental in producing innovative, real-time monitoring systems. His contributions are reflected in numerous IEEE and Scopus-indexed publications, patents, and funded research projects. Recognized for his academic excellence, Prof. Sheng-Chih Shen has received multiple awards for research innovation and outstanding contributions to mechatronic engineering. He is also an active member of professional organizations such as IEEE, engaging in leadership and mentorship activities that foster technological advancement and academic collaboration. In conclusion, Prof. Sheng-Chih Shen exemplifies scientific excellence, leadership, and innovation, making him a driving force in the advancement of modern mechatronics and optical sensing technologies.

Profile: Scopus

Featured Publications

Shen, S.-C. (2025). Design and fabrication of posture sensing and damage evaluating system for underwater pipelines. Sensors (Basel, Switzerland).

Shen, S.-C. (2025). A real-time diagnostic system using a long short-term memory model with signal reshaping technology for ship propellers. Sensors (Basel, Switzerland).

Shen, S.-C. (2022). Automated system of tubular filtration for rotifer production. Journal of the World Aquaculture Society.

Shen, S.-C. (2022). Design and testing of real-time sensing system used in predicting the leakage of subsea pipeline. Sensors (Basel, Switzerland).

Shen, S.-C. (2022). A self-powered strain sensor applied to real-time monitoring for movable structures. Sensors (Basel, Switzerland).

Shen, S.-C. (2019). Design and fabrication of a displacement sensor using screen printing technology and piezoelectric nanofibers in D33 mode. Sensors and Materials.

Shen, S.-C. (2019). A framework for process inspection of metal additive manufacturing. Sensors and Materials.

Chisom Ogbuanya | Electronic | Best Researcher Award

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Ms. Chisom Ogbuanya | Electronic | Best Researcher Award

Ms. Chisom Ogbuanya | Electronic | Lecturer at University of Nigeria at Nigeria

Ms. Chisom Ogbuanya is a highly accomplished academic and researcher in Electronic and Computer Engineering, with specialized expertise in pattern recognition, intelligence detection systems, machine learning, deep learning, and computer vision. She earned her Ph.D. in Control Science and Engineering from Jiangsu University, China, and her Master of Engineering in Digital and Computer Engineering from the University of Nigeria, Nsukka. Currently, she serves as a Lecturer II at the University of Nigeria, Nsukka, where she teaches undergraduate courses in physical electronics and artificial intelligence while actively conducting research in AI and medical imaging. Her research interests include multimodal medical image fusion, retinal biometric recognition, and optimization algorithms for neural network systems. Ms. Ogbuanya demonstrates advanced research skills, including data analysis, algorithm development, structural equation modeling, and computer vision implementation. She has contributed significantly to both national and international research projects and has published in high-impact journals and conference proceedings, receiving recognition for her contributions to AI and engineering education. Her work has been cited multiple times, reflecting her growing influence in the field. She has received awards and honors for research excellence, conference presentations, and contributions to student mentorship and academic development. Ms. Ogbuanya is actively engaged in leadership roles within academic communities, promotes collaborations, and participates in international conferences to advance research and knowledge exchange. Strengths include her robust publication record, interdisciplinary approach, technical expertise, and commitment to mentoring emerging engineers. Areas for further development include expanding global collaborations and translating research into industrial and clinical applications. Looking forward, she is poised to make substantial contributions to AI-driven medical imaging, intelligent systems, and optimization technologies. In conclusion, Ms. Chisom Ogbuanya exemplifies research excellence, innovation, and academic leadership, demonstrating outstanding potential for continued impact and advancement in the field of Electronic and Computer Engineering.

Profile: Google Scholar

Featured Publications

  1. Ogbuanya, C. E. (2021). Improved dimensionality reduction of various datasets using novel multiplicative factoring principal component analysis (MPCA). International Journal of Computer and Communication Engineering, 10(4), 85–95. 3 citations.

  2. Ogbuanya, C. E., Obayi, A., Larabi-Marie-Sainte, S., Saad, A. O., & Berriche, L. (2025). A hybrid optimization approach for accelerated multimodal medical image fusion. PLOS ONE, 20(7), e0324973. 1 citation.

  3. Ogbuanya, C. E., Ezika, I., & Iloanusi, O. (2018). Evaluating the impacts of pregnancy on retinal biometric recognition. Faculty of Engineering, University of Nigeria, Nsukka 1st International Conference Proceeding, 1.

  4. Asiegbu, N. C., Ahaneku, M. A., Chijindu, V. C., & Ogbuanya, C. E. (2024). Mutual coupling computation and measurement studies of a designed 2 x 2 MIMO microstrip patch antenna using element adjustment method. Conference Faculty of Engineering, Chukwuemeka Odumegwu Ojukwu University, Anambra State, Nigeria, Paper ID: ICEAPRID/2024/EEE/022.

  5. Ogbuefi, U., & Ogbuanya, C. E. (2025). The effects of sexist comments on the self-concept, diminished motivation and aggressive tendencies of girls in engineering: A narrative review. Journal for Family & Society Research, 4(1).

  6. Han, F., Mehta, S., Ling, Q. H., & Ogbuanya, C. E. (2024). Enhancement of multiobjective Darwinian particle swarm optimization for neural-network-based multimodal medical image fusion. Neural Approximated Variable-Order Fractional Calculus Multiobjective DPso Optimized Gradient Compass for Multimodal Medical Image Fusion.

  7. Ogbuanya, C. E. (2023). Advanced AI techniques for pattern recognition in intelligent detection systems. International Journal of Engineering and Computer Science Research, 15(3), 45–60.

 

Yohannes Yesuf | Creativity | Best Researcher Award

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Assist. Prof. Dr. Yohannes Yesuf | Creativity | Best Researcher Award 

Assist. Prof. Dr. Yohannes Yesuf | Creativity | Postdoctoral Research at University of Johannesburg, South Africa

Assist. Prof. Dr. Yohannes Yesuf is a distinguished scholar in Management, specializing in creativity, innovation, entrepreneurship, leadership, and strategy. He holds a BA in Management, an MBA with a specialization in Japanese Management, and a Ph.D. in Management. He currently serves as a Postdoctoral Research Fellow at the University of Johannesburg and an Assistant Professor of Management at Woldia University. Dr. Yesuf’s research focuses on understanding the psychological, social, and digital drivers of innovation, entrepreneurial resilience, and strategic decision-making to enhance organizational development and business performance. He possesses advanced research skills in data analysis, structural equation modeling, survey design, and qualitative research methods, applied across international and multidisciplinary projects. His academic contributions are highlighted through publications in high-impact journals such as Journal of Innovation and Entrepreneurship, Cogent Business & Management, and Journal of the International Council for Small Business, reflecting a growing citation record and influence in the field. Dr. Yesuf has received recognition for his contributions to management research, including awards for research excellence and leadership in academic initiatives. He actively mentors students, contributes to community development programs, and participates in international research collaborations, demonstrating leadership beyond academia. Strengths include his robust publication record, interdisciplinary approach, and ability to translate research into practical strategies for organizational growth. Areas for improvement involve expanding his global research network and increasing policy-oriented outputs to bridge academia and practice. His future research potential is significant, focusing on sustainable innovation, entrepreneurship in developing economies, and enhancing business resilience under dynamic environments. In conclusion, Assist. Prof. Dr. Yohannes Yesuf embodies academic excellence, innovative research, and leadership in Management, with a strong track record of impactful contributions and the potential for continued influence in both scholarly and practical realms.

Profile: Google Scholar

Featured Publications

  1. Yesuf, Y. M., Getahun, D. A., & Debas, A. T. (2023). Factors affecting employees’ creativity: The mediating role of intrinsic motivation. Journal of Innovation and Entrepreneurship, 12(1), 31. 25 citations.

  2. Yesuf, Y. M., Getahun, D. A., & Debas, A. T. (2024). Determinants of employees’ creativity: Modeling the mediating role of organizational motivation to innovate. Journal of Innovation and Entrepreneurship, 13(1), 8. 20 citations.

  3. Yesuf, Y. M., Getahun, D. A., & Debas, A. T. (2024). Impacts of work environment and family-work resource spillover on employees’ creativity at the workplace in the Ethiopian Institute of Agricultural Research. Cogent Business & Management, 11(1), 2315668. 6 citations.

  4. Mekonnen, Y. Y. (2017). Assessment of the economic and working conditions of the cut flower farm workers in Ethiopia: A case of Bahir Dar City. Ritsumeikan Asia Pacific University. 3 citations.

  5. Yesuf, Y. M., Fields, Z., & Chanie, W. (2025). Entrepreneurial resilience and tourism business success during crises: The moderating impact of state intervention. Journal of the International Council for Small Business, 1–23. 2 citations.

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