Rowena Merkel | Mathematics | Young Scientist Award

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Mrs. Rowena Merkel | Mathematics | Young Scientist Award

University of Education Freiburg | Germany

Rowena Merkel, M.Ed., is an emerging scholar and Ph.D. candidate at the Pädagogische Hochschule Freiburg, Germany, specializing in mathematics didactics and cognitive learning research. Her academic journey reflects strong interdisciplinary training, having earned a Master of Education and a Bachelor’s degree in Mathematics and Spanish from the Albert-Ludwigs-Universität Freiburg. Currently pursuing her doctoral research in Psychology and Mathematics Didactics, Rowena focuses on understanding how digital modeling tools can foster effective cognitive learning processes in developing students’ conceptual understanding of fractions. She has served as an Academic Associate at the Pädagogische Hochschule Freiburg, where she contributed to advancing digital pedagogical innovations and teaching methodologies. Her research interests span mathematics education, cognitive engagement, digital learning environments, and instructional design in STEM education. Rowena’s recent publication, Learning Activities in a Dynamic Learning Environment to Foster a Basic Fraction Concept (International Journal of Science and Mathematics Education, 2025 cited by 7 articles*), exemplifies her contributions to developing research-based digital tools for mathematics instruction. Her academic achievements demonstrate a commitment to evidence-based education, blending theory and practice to enhance cognitive development through technology-enhanced learning. Through her innovative approach, Rowena Merkel aims to bridge psychology and pedagogy, making complex mathematical concepts accessible to diverse learners. Her work holds promise for shaping the future of mathematics education, positioning her as a dynamic and deserving nominee for the Young Scientist Award.

Profile: ORCID | LinkedIn

Featured Publications

Merkel, R., Leuders, T., Reinhold, F., & Loibl, K. (2025). Learning activities in a dynamic learning environment to foster a basic fraction concept. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-025-10602-6

Nadiia Kopiika | Engineering | Best Paper Award

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Dr. Nadiia Kopiika | Engineering | Best Paper Award

University College London | United Kingdom

Dr. Nadiia Kopiika is a distinguished civil and structural engineering researcher whose work unites innovation, sustainability, and resilience in the reconstruction of critical infrastructure. She is affiliated with University College London, London, United Kingdom, and serves as a BA/CARA Research Fellow at the University of Birmingham (UK) and Teaching Assistant at Lviv Polytechnic National University (Ukraine). Dr. Nadiia Kopiika has made exceptional contributions to developing advanced methodologies for damage assessment, probabilistic modelling, and structural rehabilitation of reinforced concrete structures. Her publication, “Probabilistic Assessment of RC Beams with Corroded Thermally Strengthened Reinforcement” (Structures, 2025), presents a comprehensive probabilistic framework for evaluating the reliability and residual capacity of corroded reinforcement systems, providing crucial insights for sustainable and data-driven restoration. According to Scopus, she has authored 34 indexed publications, accumulated 416 citations across 219 citing documents, and holds an h-index of 15, reflecting her growing impact in the global engineering community. Her work seamlessly combines analytical precision with practical applications in infrastructure resilience and recovery. Dr. Kopiika is also actively engaged in collaborative initiatives such as bridgeUkraine.org and MetaInfrastructure.org, advancing digital diagnostics, AI integration, and circular design for post-disaster reconstruction. Her achievements have been recognised through prestigious honours, including the Award of the Verkhovna Rada of Ukraine for Young Scientists (2024) and the BA/CARA Research Fellowship (2023–2026). Through her interdisciplinary research and commitment to sustainable engineering, Dr. Nadiia Kopiika continues to advance innovative frameworks for resilient, future-ready infrastructure systems worldwide.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  • Blikharskyy, Y., Kopiika, N., Khmil, R., Selejdak, J., & Blikharskyy, Z. (2022). Review of development and application of digital image correlation method for study of stress–strain state of RC structures. Applied Sciences, 12(19), 10157. [Cited by 56]
    https://doi.org/10.3390/app121910157

  • Kopiika, N., Karavias, A., Krassakis, P., Ye, Z., Ninic, J., Shakhovska, N., … (2025). Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach. Automation in Construction, 170, 105955. [Cited by 27]
    https://doi.org/10.1016/j.autcon.2025.105955

  • Blikharskyy, Y., Vashkevych, R., Kopiika, N., Bobalo, T., & Blikharskyy, Z. (2021). Calculation residual strength of reinforced concrete beams with damages, which occurred during loading. IOP Conference Series: Materials Science and Engineering, 1021(1), 012012. [Cited by 32]
    https://doi.org/10.1088/1757-899X/1021/1/012012

  • Blikharskyy, Y., Selejdak, J., & Kopiika, N. (2021). Corrosion fatigue damages of rebars under loading in time. Materials, 14(12), 3416. [Cited by 31]
    https://doi.org/10.3390/ma14123416

  • Blikharskyy, Y., Selejdak, J., Kopiika, N., & Vashkevych, R. (2021). Study of concrete under combined action of aggressive environment and long-term loading. Materials, 14(21), 6612. [Cited by 30]
    https://doi.org/10.3390/ma14216612

Monika Prylińska-Jaśkowiak | Immunology and Microbiology | Young Scientist Award

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Mrs. Monika Prylińska-Jaśkowiak | Immunology and Microbiology | Young Scientist Award

Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University | Poland

Mrs. Monika Prylińska-Jaśkowiak is an emerging clinician-scientist whose professional journey reflects a rare balance between medical practice, academic excellence, and translational research. She earned her Doctor of Medical Sciences degree from Collegium Medicum, Nicolaus Copernicus University in Toruń, where her doctoral research focused on the relationship between the gut microbiome and chronic fatigue syndrome, integrating clinical insight with advanced molecular and bioinformatic analyses. As a specialist pediatrician at the Voivodeship Children’s Hospital in Bydgoszcz, she combines her research background with everyday patient care and is currently pursuing specialization in pediatric rheumatology. Her scientific contributions include peer-reviewed publications such as The gut microbial composition is different in chronic fatigue syndrome than in healthy controls (Scientific Reports, 2025), and review papers in the Journal of Education, Health and Sport (2022), widely cited for summarizing current knowledge on CFS/ME and human gut microbiota. Mrs. Monika Prylińska-Jaśkowiak’s research interests encompass pediatric immunology, microbiome–immune interactions, and chronic inflammatory diseases, with a focus on precision diagnostics and targeted therapy development. Actively engaged in professional societies including the Polish Pediatric Society and the Polish Society of Vaccinology, she continues to expand her expertise through certified courses in resuscitation, vaccinology, and emergency pediatrics. Her commitment to continuous learning, clinical excellence, and evidence-based innovation exemplifies the spirit of a modern physician-scientist dedicated to improving child health and advancing medical science.

Profile: ORCID | LinkedIn

Featured Publications

• Prylińska, M., & Kożuchowski, M. (2022, September 28). The human gastrointestinal tract microbiota in health – current knowledge summary. Journal of Education, Health and Sport, 12(10). https://doi.org/10.12775/JEHS.2022.12.10.005

• Kożuchowski, M., & Prylińska, M. (2022, April 30). The proper functioning of the sense of smell and its disturbances on the example of COVID-19 infection. Journal of Education, Health and Sport, 12(4). https://doi.org/10.12775/JEHS.2022.12.04.026

Ozgur Tonkal | Computer Science and Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Ozgur Tonkal | Computer Science and Artificial Intelligence | Best Researcher Award

Samsun University | Turkey

Dr. Ozgur Tonkal is a distinguished academician and researcher at Samsun University, specializing in cybersecurity, Software-Defined Networks (SDN), and AI-driven threat detection. He earned his Ph.D. in Computer Engineering from Gazi University in 2022, where his doctoral research introduced an autonomous intrusion detection and mitigation model for SDN, providing adaptive and traffic-aware defense against volumetric attacks. Building on this foundation, he developed a multimodal spam email detection framework that integrates Distil BERT embeddings with structural features, achieving 99.62% accuracy and exposing concept drift vulnerabilities across eras of spam. Dr. Ozgur Tonkal has contributed significantly to both academic research and practical applications through international journal articles, conference papers, and book chapters that advance explainable and continually learning cybersecurity systems. His completed research includes DDoS detection using machine learning and neighborhood component analysis, while ongoing projects focus on adaptive spam detection, IoT traffic analysis, and explainable deep learning models for robust network security. Beyond academia, he serves as ISO/IEC 27001:2022 Lead Auditor, coordinator of a university Cyber Incident Response Team, and technical advisor for the Ministry of Education International Robotics Competition, demonstrating his ability to translate research into real-world solutions. Notable publications include studies on multimodal spam detection, AI-based dementia diagnosis, and DDoS attack detection in SDN. Dr. Ozgur Tonkal exemplifies excellence in research, innovation, and the practical implementation of cybersecurity solutions.

Profile: Google Scholar | ORCID | ResearchGate | LinkedIn | Staff Page

Featured Publications

  • Tonkal, Ö., Polat, H., Başaran, E., Cömert, Z., & Kocaoglu, R. (2021). Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking. Electronics, 10(1227), 1–18. Cited by 128.

  • Tonkal, Ö., & Polat, H. (2021). Traffic classification and comparative analysis with machine learning algorithms in software-defined networks. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 9(1), 1–12. Cited by 15.

  • Sertkaya, M. E., Ergen, B., Türkoğlu, M., & Tonkal, Ö. (2024). Accurate diagnosis of dementia and Alzheimer’s with deep network approach based on multi‐channel feature extraction and selection. International Journal of Imaging Systems and Technology, 34(3), e23079. Cited by 4.

  • Ouhsousou, S., & Tonkal, Ö. (2024). Analysis of global language dynamics: A cross-cultural examination of the most spoken languages and perceived learning ease. 8th International Artificial Intelligence and Data Processing Symposium, 1–6. Cited by 1.

  • Selimdaroğlu, Y., Yusuf, & Tonkal, Ö. (2025). Acil durum çağrı merkezi uygulamalarında kullanıcı memnuniyeti ve performans analizi: 112 örneği. International Journal of Advances in Engineering and Pure Sciences, 37(2), 45–60.

Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award

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Dr. Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Amin Reza Kalantari Khalil Abad is a distinguished researcher and Lecturer in Industrial Engineering at Iran University of Science and Technology, Tehran, specializing in system optimization and sustainable supply chain design. He earned his Ph.D. in Industrial Engineering from Iran University of Science and Technology (2024), focusing on designing resilient horticultural supply chains under pest disruption, and holds an M.Sc. in Industrial Engineering (System Optimization) from Kharazmi University and a B.Sc. from Meybod University, Iran. His research expertise spans decision-making, operations research, mathematical modeling, and optimization, with emphasis on sustainable, resilient, and circular supply chain networks under uncertainty. Dr. Amin Reza Kalantari Khalil Abad has extensive teaching experience as a lecturer and teaching assistant in logistics, supply chain management, operations research, and software applications including GAMS and MiniTab. He has published six high-impact journal articles, including in the Journal of Environmental Management (2025), Journal of Industrial Information Integration (2025), Computers & Chemical Engineering (2024, 2023), Journal of Cleaner Production (2024), and Applied Soft Computing (2023). His work has been cited 57 times by 51 documents, achieving an h-index of 5 according to Scopus. Recognized as Top Ph.D. Student in Education (2021–2022) and Research (2023–2024), he also serves as a reviewer for leading journals and international conferences. Through his innovative research integrating optimization techniques, sustainable development, and supply chain resiliency, Dr. Amin Reza Kalantari Khalil Abad has significantly contributed to advancing both academic knowledge and practical applications, making him a highly deserving candidate for the Best Researcher Award.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  • Alizadeh, M., Kalantari Khalil Abad, A. R., Jahani, H., & Makui, A. (2023). Prevention of post-pandemic crises: A green sustainable and reliable healthcare supply chain network design for emergency medical products. Journal of Cleaner Production, 139702. https://doi.org/10.1016/j.jclepro.2023.139702

  • Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Toward circular economy for pomegranate fruit supply chain under dynamic uncertainty: A case study. Computers & Chemical Engineering, 178, 108362. https://doi.org/10.1016/j.compchemeng.2023.108362

  • Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2022). Green closed-loop supply chain network design with stochastic demand: A novel accelerated Benders decomposition method. Scientia Iranica, 29(5), 2578–2592. https://doi.org/10.24200/sci.2022.55657

  • Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak. Applied Soft Computing, 110964. https://doi.org/10.1016/j.asoc.2023.110964

  • Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2021). Green closed-loop supply chain network design: A novel bi-objective chance-constraint approach. RAIRO-Operations Research, 55(2), 811–840. https://doi.org/10.1051/ro/2021035

Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

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Prof. Dr. Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

Mawlana Bhashani Science and Technology University | Bangladesh

Dr. Sayed Mohibul Hossen, Professor of Statistics at Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh, is a distinguished scholar whose work bridges theoretical econometrics and applied statistical forecasting for climate, tourism, and economic sustainability. Holding a Ph.D. in Econometrics from University Sains Malaysia (USM), his doctoral research developed advanced climate forecast models that inform policy and resource planning in Bangladesh’s tourism and environmental management sectors. Over the past decade, Dr. Sayed Mohibul Hossen has published six indexed research papers in internationally recognized journals, including GeoJournal of Tourism and Geosites, Applied Fruit Science, and the Journal of Public Affairs. According to Scopus, his works have achieved 43 citations from 41 documents with an h-index of 2, reflecting steady and growing international recognition. His research uniquely integrates time series modeling with econometric approaches to predict socio-environmental and agricultural trends critical to sustainable development. Beyond his research excellence, Dr. Sayed Mohibul Hossen has demonstrated academic leadership as Former Additional Director of IQAC at MBSTU, supervising numerous graduate dissertations on statistical modeling and climate forecasting. He also serves as a peer reviewer for leading journals such as AJTAS and IJSAB, and holds memberships in the Asiatic Society of Bangladesh (ASB) and the Global Research Institute for Business Academics (GRIBA), Australia. Registered under ORCID, Dr. Sayed Mohibul Hossen’s scientific impact, editorial engagement, and commitment to academic excellence make him a deserving candidate for the Best Researcher Award, recognizing his innovative and sustainable contributions to the advancement of statistical and econometric sciences.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Polas, M. R. H., Raju, V., Hossen, S. M., Karim, A. M., & Tabash, M. I. (2022). Customer’s revisit intention: Empirical evidence on Gen‐Z from Bangladesh towards halal restaurants. Journal of Public Affairs, 22(3), e2572. https://doi.org/10.1002/pa.2572

  2. Hossen, S. M., Hossain, M. T., Rana, M. M., & Ismail, M. T. (2019). Employees’ satisfaction of government organization in Tangail City, Bangladesh. International Business Research, 12(2), 15–20. https://doi.org/10.5539/ibr.v12n2p15

  3. Aktar, S., Islam, M., & Hossen, S. (2012). Human resource management practices and firms performance in Bangladesh: An empirical study on pharmaceutical industry. Asian Business Review, 1(1), 121–125.

  4. Hossen, S. M. (2012). Statistical analysis of current guava production and its prospect in Bangladesh. Asian Business Review, 1(1), 9–14.

  5. Hossen, S. M., Ismail, M. T., & Tabash, M. I. (2021). The impact of seasonality in temperature forecast on tourist arrivals in Bangladesh: An empirical evidence. GeoJournal of Tourism and Geosites, 34(1), 20–27. https://doi.org/10.30892/gtg.34103-634

Zengxin Gao | Medicine and Health Sciences | Innovative Research Award

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Dr. Zengxin Gao | Medicine and Health Sciences | Innovative Research Award

Department of Orthopedics, Zhongda Hospital, Southeast University School of Medicine | China

Dr. Zengxin Gao is a highly accomplished Chief Physician at Southeast University, Affiliated Zhongda Hospital, recognized for his expertise in orthopedics and minimally invasive spinal interventions. He completed his PhD in Orthopedics at Peking Union Medical College in 2008, following a Master’s degree in Orthopedics (2005) and a Bachelor’s degree in Clinical Medicine from Nanjing Medical University (1990). Dr. Zengxin Gao’s clinical career spans over 30 years, beginning as a physician at Nantong University Affiliated Dongtai Hospital, advancing to attending and associate chief physician, and currently serving as Chief Physician at Southeast University Affiliated Zhongda Hospital since 2015. His research focuses on spinal surgery, intervertebral disc regeneration, and innovative minimally invasive techniques for chronic low back and leg pain, particularly in elderly patients. He has led notable projects, including the Jiangsu Provincial Health Commission’s New Technology Introduction Project on percutaneous single-axis hole microscopy (2021–2023). Dr. Zengxin Gao has made significant scholarly contributions, including sole corresponding authorship in Wenbin Xuan, Yucheng Gao, Zengxin Gao. Intraspinal Bone Fragments Resorption in Thoracolumbar Burst Fracture. JAMA Neurol. 2023;80(11):1248–1249 [Cited 12]; co-first authorship in Linhui Ye, Zengxin Gao, Saeed Rohani. Intervertebral disk regeneration in a rat model by allopurinol-loaded Chitosan/alginate hydrogel. Biomol Biomed. 2023;23(4):661–670 [Cited 5]; and co-corresponding authorship in Shuhua Fang et al. Circ_0027885 sponges miR-203-3p to regulate RUNX2 expression and alleviates osteoporosis progression. BMC Musculoskelet Disord. 2024;25:5 [Cited 3]. He has been awarded the Provincial and Ministerial First Prize for the Medical New Technology Introduction Award (2022) for pioneering percutaneous transforaminal endoscopic intervertebral fusion. Dr. Zengxin Gao’s combination of clinical expertise, innovative research, and leadership in orthopedics underscores his outstanding contributions and makes him an ideal candidate for the Innovative Research Award.

Profile: Scopus

Featured Publications

• Xuan, W., Gao, Y., & Gao, Z. (2023). Intraspinal bone fragments resorption in thoracolumbar burst fracture. JAMA Neurology, 80(11), 1248–1249.
https://doi.org/10.1001/jamaneurol.2023.2901

• Ye, L., Gao, Z., & Rohani, S. (2023). Intervertebral disk regeneration in a rat model by allopurinol-loaded chitosan/alginate hydrogel. Biomolecules and Biomedicine, 23(4), 661–670.
https://doi.org/10.17305/bjbms.2023.8535

• Fang, S., Cao, D., Wu, Z., Chen, J., Huang, Y., Shen, Y., & Gao, Z. (2024). Circ_0027885 sponges miR-203-3p to regulate RUNX2 expression and alleviates osteoporosis progression. BMC Musculoskeletal Disorders, 25(1), 5.
https://doi.org/10.1186/s12891-023-07172-0

• Gao, Z., Lin, Y., Wu, Z., Zhang, P., Cheng, Q., Ye, L., Wu, F., Chen, Y., Fu, M., Cheng, C., & Gao, Y. (2020). LncRNA SNHG6 can regulate the proliferation and apoptosis of rat degenerate nucleus pulposus cells via regulating the expression of miR-101-3p. European Review for Medical and Pharmacological Sciences, 24(16), 8251–8262.
https://doi.org/10.26355/eurrev_202008_22592

• Gao, Z., Lin, Y., Zhang, P., Cheng, Q., Ye, L., Wu, F., Chen, Y., Fu, M., Cheng, C., & Gao, Y. (2019). Sinomenine ameliorates intervertebral disc degeneration via inhibition of apoptosis and autophagy in vitro and in vivo. American Journal of Translational Research, 11(9), 5956–5966.
https://www.ajtr.org/files/ajtr0094769.pdf

Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

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Mr. Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

Beijing Stomatological Hospital Affiliated to Capital Medical University | China

Hanchen Zhou, a graduate student at Beijing Stomatological Hospital, Capital Medical University, is an emerging researcher specializing in Oral and Maxillofacial-Head and Neck Oncology, with a primary focus on oral squamous cell carcinoma. He has already distinguished himself by publishing four SCI-indexed research papers that contribute valuable insights into the molecular mechanisms, clinical behavior, and potential treatment strategies for this aggressive malignancy. These publications, cited internationally, reflect his growing influence in oncology research and his ability to translate clinical challenges into innovative scientific solutions. Zhou is actively engaged in funded research projects, including the Innovation Foundation and the Clinical Research Incubation Project of Beijing Stomatological Hospital, demonstrating his capacity to design and execute impactful investigations. A member of the Chinese Stomatological Association, he actively participates in academic collaboration and professional development, strengthening his role within the wider scientific community. Despite being in the early stages of his career, Zhou has already showcased a strong commitment to advancing cancer research, particularly in bridging experimental findings with clinical applications. His work not only enhances the understanding of oral squamous cell carcinoma but also paves the way for improved diagnostic and therapeutic approaches. By integrating scientific rigor with a clear vision for innovation, he exemplifies the qualities of a promising researcher poised for long-term impact.

Profile: Scopus | ResearchGate

Featured Publications

  • Yu, H., Li, B., Huang, Y., & Zhang, X. (2025). Prognosis of second primary oral squamous cell carcinoma after hematologic malignancy: A retrospective cohort analysis. Frontiers in Oncology, 15, Article 1667226. https://doi.org/10.3389/fonc.2025.1667226

  • Zhou, H., Luo, C., Xu, Q., & Wang, C. (2025). Machine learning approach to predict surgical site infection in head and neck squamous cell carcinoma patients after free flap reconstruction. Journal of Cranio-Maxillofacial Surgery. Advance online publication. https://doi.org/10.1016/j.jcms.2025.09.010

  • Cheng, A., Wei, K., Xu, Q., & Wang, C. (2025). The comparison of the prognostic value of different inflammation-related indicators in patients with oral squamous cell carcinoma. Frontiers in Genetics, 16, Article 1652603. https://doi.org/10.3389/fgene.2025.1652603

  • Li, B., Zhao, Z., Huang, Y., & Zhou, H. (2025). The application of adjuvant radiotherapy in pN1 OSCC patients without adverse pathologic features. Oral Diseases, 31(1), e15336. https://doi.org/10.1111/odi.15336

Sahar Issa | Health Professions | Best Researcher Award

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Prof. Dr. Sahar Issa | Health Professions | Best Researcher Award

Faculty of medicine, Alexandria University | Egypt

Dr. Sahar Issa, is a distinguished Professor of Forensic Medicine, Clinical Toxicology, and Medical Ethics at the Faculty of Medicine, University of Alexandria, Egypt. She earned her Ph.D. in Forensic Medicine and Clinical Toxicology from Alexandria University, following an M.Sc. in Forensic Medicine & Clinical Toxicology and a Diploma in Public Health specializing in Vector Control and Pesticide Residues Toxicities, alongside her MBChB in Medicine and Surgery. Over her extensive academic career, Dr. Sahar Issa has combined rigorous teaching with cutting-edge research in forensic medicine, toxicology, and medical ethics, contributing to enhanced clinical and forensic practices. Her research interests include toxicological analysis, forensic pathology, sex determination using skeletal traits, and the assessment of chemical and microbial hazards. She has published several influential works, including her book Forensic Toxicology: Poisoning in the Modern World (IntechOpen, 2019) and Microbial Witness: Unraveling Mysteries with Forensic Microbiomes (IntechOpen, 2023). Her peer-reviewed articles cover a wide range of topics such as fentanyl and ketamine effects on liver biochemistry (Toxicology, 2003), forensic toxicology of suicidal and accidental poisonings (Egyptian Journal of Forensic Sciences, 2016), and postmortem trace element analysis (J Forensic Leg Med, 2022), with many of her studies widely cited for their clinical and forensic relevance. Recognized for her contributions to education, toxicology consultation, and public health, Dr. Sahar Issa exemplifies excellence in research, bridging laboratory insights with practical forensic applications and mentoring the next generation of forensic scientists globally.

Profile: Google Scholar | ORCID | LinkedIn

Featured Publications

Hafez, E. M., Issa, S. Y., Ai-Mazroua, M. K., Ibrahim, K. T., & Rahman, S. M. A. (2016). The neonicotinoid insecticide imidacloprid: A male reproductive system toxicity inducer-human and experimental study.

Hafez, M. E., Issa, Y. S., & Abdel Rahman, M. S. (2015). Parenchymatous toxicity of tramadol: Histopathological and biochemical study. Journal of Alcohol and Drug Dependence, 3(5), 225.

Issa, S. Y., Khanfour, A. A., & Kharoshah, M. (2016). A model for stature estimation and sex prediction using percutaneous ulnar and radial lengths in autopsied adult Egyptians. Egyptian Journal of Forensic Sciences, 6(2), 84–89.

Ibrahim, S. Y. (2016). Determination of heavy metals and other toxic ingredients in henna (Lawsonia inermis). Journal of Environmental & Analytical Toxicology, 6(3), 9.

Cebolla, S. G., [et al.]. (2018). Fully automated forensic routine dried blood spot screening for workplace testing. Journal of Analytical Toxicology, 43(2), 1–11.

Issa, S. Y., Hafez, E. M., El-Banna, A. S., Abdel Rahman, S. M., AlMazroua, M. K., … [et al.]. (2018). Baclofen systemic toxicity: Experimental histopathological and biochemical study. Human & Experimental Toxicology, 37(4), 431–441.

Zagloul, N. M., Farghaly, R. M., ELKhatib, H., Issa, S. Y., & El-Zoghby, S. M. (2022). Technology facilitated sexual violence: A comparative study between working and non-working females in Egypt before and during the COVID-19 pandemic. Egyptian Journal of Forensic Sciences, 12(1), 21.

Alalawi, S., Issa, S. T., Takshe, A. A., & ElBarazi, I. (2022). A review of the environmental implications of the COVID-19 pandemic in the United Arab Emirates. Environmental Challenges, 8, 100561.

Eddine, N. N., Noisel, N., Dieme, D., Asmar, M. K., Issa, S. T., & Bouchard, M. (2022). Multi-matrix biomonitoring approach to assess exposure to metals and trace elements in the Lebanese population and associations with drinking water consumption. Environmental Research, 214, 113982.

Wael Badawy | Computer Science | Best Researcher Award

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Prof. Dr. Wael Badawy | Computer Science | Best Researcher Award

Egyptian Russian University | Egypt

Prof. Wael Badawy, is a distinguished engineer, researcher, and academic leader with over 28 years of experience in higher education, research, technology commercialization, and innovation management. He earned his Ph.D. in Computer Engineering from the University of Louisiana at Lafayette, USA, and an equivalent Ph.D. in Electrical Engineering recognized by the Egyptian Higher Council of Universities, complemented by M.Sc. and B.Sc. degrees in Computer Science and Automatic Control Engineering from Alexandria University, Egypt. Prof. Wael Badawy has held senior academic and leadership positions, including Executive Director of ABM College, Canada, Program Head of Data Science and Cybersecurity at the Egyptian Russian University, and professorships at Nile University, Badr University, and the American University in Cairo, where he has taught and supervised students in Artificial Intelligence, Deep Learning, Multimedia Engineering, Cybersecurity, and Information Technology Management. His research contributions encompass over 400 publications in high-impact journals and conferences, 56 books and proceedings, and 34 co-invented patents, with highly cited work including the IEEE Transactions on Circuits and Systems for Video Technology (2018). Prof. Badawy has received more than 90 prestigious awards and honors, including the QS Reimagine Education Awards (2023, shortlisted), Silicon Review “30 Innovative Brands of the Year” (2022), and multiple distinctions in STEM, business innovation, and leadership. He actively serves on international standardization committees, professional organizations such as IEEE and ACM, and national research councils, contributing to curriculum development, program design, and strategic planning in higher education. Prof. Wael Badawy’s extensive contributions to research, innovation, and education demonstrate his sustained impact on technology, society, and the global academic community, making him an exemplary candidate for the Best Researcher Award.

Profile: Google Scholar | ORCID | LinkedIn | Staff Page

Featured Publications

  • Du, S., Ibrahim, M., Shehata, M., & Badawy, W. (2012). Automatic license plate recognition (ALPR): A state-of-the-art review. IEEE Transactions on Circuits and Systems for Video Technology, 23(2), 311–325.

  • Rahman, C. A., Badawy, W., & Radmanesh, A. (2003). A real-time vehicle’s license plate recognition system. In Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance.

  • Shehata, M. S., Cai, J., Badawy, W. M., Burr, T. W., Pervez, M. S., Johannesson, R. J., … (2008). Video-based automatic incident detection for smart roads: The outdoor environmental challenges regarding false alarms. IEEE Transactions on Intelligent Transportation Systems, 9(2), 349–360.

  • Ghallab, Y. H., Badawy, W., Kaler, K. V. I. S., & Maundy, B. J. (2005). A novel current-mode instrumentation amplifier based on operational floating current conveyor. IEEE Transactions on Instrumentation and Measurement, 54(5), 1941–1949.

  • Du, S., Shehata, M., & Badawy, W. (2011). Hard hat detection in video sequences based on face features, motion and color information. In 2011 3rd International Conference on Computer Research and Development, 4, 25–29.

  • Ghallab, Y., & Badawy, W. (2004). Sensing methods for dielectrophoresis phenomenon: From bulky instruments to lab-on-a-chip. IEEE Circuits and Systems Magazine, 4(3), 5–15.

  • Badawy, W., & Gomaa, H. (2015). Analyzing a segment of video. U.S. Patent No. 9,014,429.

  • Ghallab, Y. H., & Badawy, W. (2010). Lab-on-a-chip: Techniques, circuits, and biomedical applications. Artech House.

  • Badawy, W. (2009). Mesh based frame processing and applications. U.S. Patent No. 7,616,782.

  • Badawy, W. (2009). Video based monitoring system. U.S. Patent No. 7,612,666.