Busra Buran | Decision Making | Best Researcher Award

Dr. Busra Buran | Decision Making | Best Researcher Award

Research Scholar| Istanbul Technical University, Turkey

Dr. Büşra Buran, born on August 13, 1988, in Kocaeli, Turkey, is a prominent expert in management engineering with a career deeply rooted in public transportation strategy and optimization. She currently serves as the Head of Strategy Development at IETT, Istanbul’s public transport authority. With over a decade of professional experience, Dr. Buran has successfully led numerous projects involving strategic planning, quality management, service improvement, and international collaboration. Her academic achievements include a Ph.D. in Management Engineering from Istanbul Technical University, an M.Sc. in Industrial Engineering from Galatasaray University, and a B.Eng. in Industrial Engineering from Yıldız Technical University. Fluent in English, she combines technical expertise with leadership capabilities, supported by various certifications in project management, quality control, and innovation. Her work has been recognized internationally, and she actively contributes to research with several publications focusing on fuzzy logic applications, transportation models, and digital transformation strategies in public transit systems.

Profile

🎓 Education

Dr. Büşra Buran holds a robust academic background in industrial and management engineering. She completed her Ph.D. in Business Management Engineering at Istanbul Technical University (2018–2023), graduating with a GPA of 3.5/4. Her doctoral research focused on advanced decision-making methods and innovation in public transportation. Prior to that, she earned her Master of Science in Industrial Engineering from Galatasaray University (2010–2012), achieving a GPA of 3.5/4. She began her academic journey with a Bachelor’s degree in Industrial Engineering from Yıldız Technical University (2007–2010), graduating with distinction (3.4/4). Her academic excellence is complemented by certifications in project management, innovation, quality systems, and team leadership. Dr. Buran’s education is deeply integrated with applied engineering practices, statistical modeling (SPSS, Minitab), simulation tools (Simul8), and machine learning (R), equipping her with a strong foundation in both theory and practice. Her studies enabled her to apply analytical, technical, and managerial skills to large-scale public service systems.

🧪 Experience

Dr. Büşra Buran has extensive professional experience in the public transportation sector, primarily at IETT, Istanbul’s leading transit authority. Since 2017, she has been serving as the Head of Strategy Development, where she manages strategic planning, performance metrics, quality systems, corporate innovation, and international partnerships. From 2014 to 2017, she was the Manager of Service Improvement, leading the development of a service quality model, auditing standards, and benchmarking global practices. Between 2013 and 2014, she worked as the Manager of Operation Planning, handling performance analysis and optimization of bus networks, including collaborative projects with TÜBİTAK. Her career began in 2010 as a Consultant for Istanbul’s Bus Rapid Transit system, optimizing routes and managing training for international BRT implementations. She is experienced in project management, process auditing, KPI reporting, and digital transformation. Her leadership has significantly enhanced the efficiency and global standing of Istanbul’s public transport network.

🏅 Awards and Honors

Dr. Büşra Buran has consistently demonstrated academic and professional excellence throughout her career. She graduated with honors at every level—achieving GPAs of 3.4/4 in her undergraduate studies, 3.5/4 in her master’s, and 3.5/4 during her Ph.D. She has also been recognized for her contributions to transportation planning and quality improvement at IETT, receiving internal commendations for successful project outcomes and strategic innovations. Her scientific research on fuzzy logic applications in public transport and sentiment analysis during the COVID-19 pandemic has been published in prestigious journals and international conferences by Springer and Elsevier. She has also earned certifications in Project Management, Corporate Quality, Risk & Process Management, and Leadership Innovation, strengthening her credentials as a thought leader in urban mobility systems. Her scholarly achievements, combined with her impactful real-world projects, highlight her as a distinguished figure in engineering management and urban transportation.

🔬 Research Focus

Dr. Buran’s research centers on the intersection of engineering management, public transportation systems, and fuzzy decision-making models. Her Ph.D. work and subsequent publications explore advanced methodologies such as Spherical and Intuitionistic Fuzzy AHP, hybrid fuzzy systems, sentiment analysis, and business model frameworks tailored for urban transport. She has published widely on topics such as bus type selection, public transport quality modeling, and global benchmarking of transit business models. Her studies frequently employ machine learning and simulation tools like R and Simul8, along with statistical software for system optimization. A significant part of her work also delves into digital transformation, strategic innovation, and service efficiency in public bus systems, particularly in mega-cities like Istanbul. Her research not only contributes theoretical advancements in engineering management but also provides practical insights for decision-makers in transit agencies, enhancing transportation planning, passenger satisfaction, and sustainable mobility strategies.

Conclusion

Dr. Büşra Buran exemplifies the synergy between academic research and public sector innovation. With her strong background in industrial and management engineering, she has driven strategic advancements in Istanbul’s public transportation. Her work is a testament to effective leadership, data-driven decision-making, and continuous quality improvement in urban mobility systems.

Publications

Reyhan Eskiyurt | Assertiveness | Cognitive Bias Awareness

Prof Dr. Reyhan Eskiyurt | Assertiveness | Cognitive Bias Awareness

She graduated from Gazi University, Faculty of Health Sciences, Department of Nursing in 2010. From 2010 to 2015, she worked at Hacettepe University Hospitals Psychiatry Clinic. Since 2015, she has been working at Ankara Yıldırım Beyazıt University, Faculty of Health Sciences, Department of Psychiatric Nursing. She completed her PhD program in 2020. Between 2014 and 2021, she received Cognitive and Behavioral Psychotherapy training organized by the Association of Cognitive Behavioral Psychotherapies and was certified as a Cognitive Therapist by the Academy of Cognitive Therapy in 2020. She continues her work in this field.

Profile

Education

She completed her doctorate at Ankara Yıldırım Beyazıt University, Turkey, from 2016 to 2020. Prior to that, she pursued postgraduate studies at Ankara Yıldırım Beyazıt University, Faculty of Health Sciences, Department of Nursing, from 2015 to 2016, and at Ankara University from 2014 to 2015. She earned her undergraduate degree from Gazi University, Turkey, between 2006 and 2010. She has an intermediate-level proficiency in English (B1). Additionally, she received vocational training in Cognitive Behavioral Psychotherapy from the Academy of Cognitive Therapy in 2020.

Books /Chapters in Books:

I. Nursing Approaches to Medical y Unexplained Symptoms
ÖzkanB.,EskiyurtR.
in:PatientswithMedicalyUnexplained Symptoms at the IntersectionofBody and Soul,Prof.Dr.AliÇayköylü,
Editor, İstanbulTıpKitabevi, İstanbul,pp.122-133,2024
I . Assessment of Suicide Risk: Psychiatric Nursing Practices
EskiyurtR.
in:CurrentStudies inCommunityMentalHealthNursing,Dr.Öğr.ÜyesiMustafaDurmuş,Editor,BİDGEYayınları,
Ankara,pp.54-80,2024
I I. Empathy
EskiyurtR.
in:SağlıkAlanında İletişimBecerileri,Doç.Dr.BirgülÖzkan,Dr.Öğr.ÜyesiReyhanEskiyurt,Editor,NobelTıpKitapevi,
Ankara,pp.65-76,2024
IV. Knowing Yourself and People
EskiyurtR.
in:SağlıkAlanında İletişimBecerileri,Doç.Dr.BirgülÖzkan,Dr.Öğr.ÜyesiReyhanEskiyurt,Editor,NobelTıp
Kitapevi,Ankara,pp.1-11,2024
V. Afetlerin Ruh Sağlığına Etkileri
ESKİYURTR.
in:AfetHemşireliğineBütüncülYaklaşım,UygulamaAlanlarıveGüncelDeneyimler ,ATASOYESMA,ÖZPULAT
FUNDA,Editor,Nobel,Ankara,pp.439-466,2024
VI. Assertiveness and Cognitive Behavioral Therapy
EskiyurtR.
in:ÇocukveErgenlerdeBilişselDavranışçıTerapiUygulamaları I,Doç.Dr.MehmetAliYıldız,Editor,NOBEL
AKADEMİKYAYINCILIK,Ankara,pp.137-159,2022
VI . HEMŞİRELİK ÖĞRENCİLERİNİN İLETİŞİMBECERİ DÜZEYLERİNEWEB TABANLI YAKLAŞIMLARIN
ETKİSİ: BİR SİSTEMATİK DERLEME
Arabacı İ.,ÖZKANB.,ESKİYURT

Publication

  • I. Exploring the impact of col aborative learning on the development of critical thinking and clinical
    decision-making skil s in nursing students: A quantitative descriptive design
    ESKİYURTR.,ÖZKANB.
    Heliyon,vol.10,no.17,2024 (SCI-Expanded)
  • The investigation of the relationship between probability of suicide and reasons for living in
    psychiatric inpatients.
    EskiyurtR.,OzkanB.
    Indianjournalofpsychiatry,vol.59,pp.435-441,2017 (SCI-Expanded)
  • Analysis of The Relationship Between Alexithymia, Depression, Anxiety and Empathy Skil s of
    Nursing Senior Students
    EskiyurtR.,AtkanF.,ÖzkanB.
    GümüşhaneÜniversitesiSağlıkBilimleriDergisi,vol.13,no.4,pp.1680-1689,2024 (Peer-Reviewed Journal)
  • Analysis of The Relationship Between Alexithymia, Depression, Anxiety and Empathy Skil s of
    Nursing Senior Students
    EskiyurtR.,AtkanF.,ÖzkanB.
    GümüşhaneÜniversitesiSağlıkBilimleriDergisi,vol.13,no.4,pp.1680-1689,2024 (Peer-Reviewed Journal)
  • AWARENESS and ATTITUDES of the UNDERGRADUATE STUDENTS in the FIELD of HEALTH RELATED
    to the TESTABILITY of INFORMATION on SOCIAL MEDIA: THE CASE of ANKARA YILDIRIMBEYAZIT
    UNIVERSITY
    AlacaE.,EskiyurtR.
    ArşivDünyası,vol.9,no.1,pp.41-60,2022 (Peer-Reviewed Journal)
  • Determination of Social Anxiety Levels of Distance Education University Students.
    EskiyurtR.,AlacaE.
    CURRENTAPPROACHES INPSYCHIATRY,vol.13,pp.257-269,2021 (Peer-Reviewed Journal)

Emmanuel Kaboja Magna | Cognitive | Cognitive Rehabilitation Impact

Dr. Emmanuel Kaboja Magna | Cognitive | Cognitive Rehabilitation Impact

CSIR-Water Research Institute, Ghana

Dr. Emmanuel Kaboja Magna is a Research Scientist at the Fisheries and Aquaculture Division of the Council for Scientific and Industrial Research-Water Research Institute (CSIR-WRI). He earned his Bachelor’s degree in Biological Sciences (Oceanography and Fisheries) from the University of Ghana in 2007, followed by a Master’s degree in Health Informatics from the Kwame Nkrumah University of Science and Technology, Ghana, in 2014. He completed his PhD in Environmental Science in 2020 at the Institute for Environment and Sanitation Studies (IESS), University of Ghana. His doctoral research focused on the ecological and human health implications of contaminants linked to cage aquaculture on the Volta Basin of Ghana. He investigated the levels of polychlorinated biphenyls, organochlorine pesticides, and heavy metals in water, sediment, and cage tilapia, highlighting the ecological risks and pollution status of sediment, as well as the health risks of consuming such fish. Dr. Magna has also conducted research on solid waste, the impact of climatic variables on crop yield, malaria distribution, and a review of Ghana’s mental health policy. His research has resulted in thirteen publications in reputable international journals. Apart from his work at WRI, he has participated in various research activities focusing on pesticides, antibiotics, PBDEs, and PAHs in different environmental matrices, wastewater quality treatment, and reuse. He is known for his innovation, intellectual acumen, and high research curiosity. Dr. Magna has jointly supervised undergraduate students at several Ghanaian universities and serves as a reviewer for the international journal Food Chemistry Advances. He also has about eight years of teaching experience at the senior high school level.

 

Profile

Education

Dr. Emmanuel Kaboja Magna holds a PhD in Environmental Science from the University of Ghana, which he completed between 2016 and 2020. His doctoral thesis focused on the ecological and human health implications of contaminants linked to cage aquaculture in the Volta Basin of Ghana. He earned a Master’s degree in Health Informatics from Kwame Nkrumah University of Science and Technology (KNUST) in 2014, with his thesis exploring the implementation of Electronic Medical Record (EMR) systems at Tema General Hospital, addressing the potential benefits and challenges. Dr. Magna obtained his Bachelor’s degree in Oceanography and Fisheries from the University of Ghana in 2007, where he completed his dissertation on the application of GIS to coastal tourism in Ghana. He also completed his SSSCE in General Science at St. Mary’s Seminary Secondary School in 2001. In addition to his academic qualifications, Dr. Magna has earned several professional certificates, including a certificate in System Thinking for Sustainable Development in Ghana from the Institute for Environment and Sanitation Studies (IESS), University of Ghana, and North Carolina State, in June 2017. He also completed training on pesticide, PAH, PCB, and antibiotic analysis using LC-MS/MS and GC-MS at the Ghana Standard Authority in Accra from December 2017 to April 2018.

MERITORIOUS AWARDS

Dr. Emmanuel Kaboja Magna has received several meritorious awards and recognitions for his academic and professional achievements. In 2000, he was awarded the Distinguished Award for being the 3rd Year Best Mathematics Student at St. Mary’s Seminary Secondary School in Lolobi, Ghana. He has also been actively involved in outreach and community service. In 2023, he earned a Certificate of Excellence as the 1st Runner-up for a poster presentation at the FDA Scientific Forum, where he presented on the risk assessment of antibiotics in cultured Nile tilapia at Tema Roundabout. Additionally, he served as a panel discussant at the 2023 National Fish Festival on promoting safe fish consumption, as well as at the 2023 National Budget Dialogue on Agro-Based Policy Interventions focusing on Fisheries and Aquaculture. Dr. Magna has contributed to the review of manuscripts for peer-reviewed journals such as Food Chemistry Advances, Water, Air, & Soil Pollution, and Heliyon. His co-supervision of student dissertations includes work on the physicochemical and heavy metals analysis of the Birim River impacted by illegal small-scale mining, completed by Cecelia Asimah at the University for Development Studies in 2023.

Research Project

Dr. Emmanuel Kaboja Magna is currently involved in several research projects, including assessing the impact of environmental change on freshwater species in River Oti, studying algal dynamics in freshwater ecosystems in the Saboba districts, and conducting a comparative analysis of the nutritional composition of different fish species cultured in Ghana, all under the CSIR-WRI, Ghana. His coursework and research modules cover a wide range of topics, including coastal ecology, freshwater ecology, aquatic biology, aquaculture, biodiversity and conservation, fish stock assessment, coastal hydrology, marine biogeochemistry, environmental management, and coastal management, with a particular focus on community aspects. He has also studied advanced quantitative research methods, emerging environmental issues for the 21st century, coastal ecosystems of West Africa, and the applications of remote sensing and GIS to fisheries and marine science. Dr. Magna is affiliated with the Ghana Chemical Society (GCS) since 2017 and was a member of the Ghana National Association of Teachers (GNAT) from 2009 to 2016. He holds leadership positions as the Deputy Secretary of the CSIR-Research Staff Association of Ghana since November 2023 and was the President of the St. Mary’s Old Boys Association (UG Charter) from September 2006 to May 2007.

Publications

Ling Mei | Cognitive Science | Best Researcher Award

Dr. Ling Mei | Cognitive Science | Best Researcher Award

Doctorate at Wuhan University of Science and Technology, China

Dr. Ling Mei is an accomplished researcher in artificial intelligence and cognitive science, with a robust academic and professional background. He holds a Ph.D. in Engineering from Sun Yat-sen University, one of China’s top universities, and completed a prestigious visiting scholar program at the University of British Columbia (UBC). Currently serving as a tenured faculty and master’s supervisor, Dr. Mei has published 16 papers, including 7 in SCI-indexed journals, contributed to nine books, and has three national invention patents granted. Recognized as a Provincial Research Talent of China in 2024, he work integrates advanced computational models with societal needs, such as urban planning and public safety. Dr. Mei has collaborated internationally with top-tier institutions like UBC and Carnegie Mellon University, cementing he reputation as a leader in he field.

Profile

Google Scholar

Orcid

Education 🎓

Dr. Mei earned he Ph.D. in Engineering from Sun Yat-sen University in 2021, a prestigious institution ranked among China’s top 10 universities. He academic journey also includes a year-long visiting scholar program at the Department of Computer Science, UBC, as part of the National Outstanding Young Researchers Program. This international exposure provided he with cutting-edge knowledge and interdisciplinary skills, enabling he to excel in artificial intelligence and cognitive science.

Work Experience 💼

Currently, Dr. Mei is a tenured faculty member and master’s supervisor at a leading Chinese university. He experience includes overseeing multiple research projects, consulting on seven industry-sponsored projects, and serving as a reviewer for the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. He has also been instrumental in fostering international collaborations with institutions like UBC and CMU, contributing to impactful research publications and patents.

Awards and Honors

In 2024, Dr. Mei was recognized as a Provincial Research Talent of China, highlighting he exceptional contributions to science and technology. He has also earned accolades through he impactful patents and high-quality publications.

Research Interests

Dr. Mei’s research focuses on artificial intelligence, pedestrian trajectory prediction, and public safety strategies. He innovations include the LSN-GTDA framework, which integrates behavioral and stochastic factors for better uncertainty management. He interdisciplinary approach bridges cognitive science, computational models, and societal applications, ensuring he work’s relevance and impact.

Research Skills

Dr. Mei possesses advanced skills in AI modeling, thermal diffusion processes, and signal and system theory. He expertise includes patent development, SCI journal publications, and interdisciplinary collaborations. He is adept at integrating computational techniques with practical applications, as seen in he trajectory prediction research.

📚 Publications

Crowd Density Estimation via Global Crowd Collectiveness Metric

  • Journal: Drones
  • Date: 2024-10-28
  • DOI: 10.3390/drones8110616
  • Contributors: Ling Mei, Mingyu Yu, Lvxiang Jia, Mingyu Fu

More Quickly-RRT: Improved Quick Rapidly-Exploring Random Tree Star Algorithm Based on Optimized Sampling Point with Better Initial Solution and Convergence Rate*

  • Journal: Engineering Applications of Artificial Intelligence
  • Date: 2024-07
  • DOI: 10.1016/j.engappai.2024.108246
  • Contributors: Xining Cui, Caiqi Wang, Yi Xiong, Ling Mei, Shiqian Wu

Learning Domain-Adaptive Landmark Detection-Based Self-Supervised Video Synchronization for Remote Sensing Panorama

  • Journal: Remote Sensing
  • Date: 2023-02-09
  • DOI: 10.3390/rs15040953
  • Contributors: Ling Mei, Yizhuo He, Farnoosh Fishani, Yaowen Yu, Lijun Zhang, Helge Rhodin

Illumination-Invariance Optical Flow Estimation Using Weighted Regularization Transform

  • Journal: IEEE Transactions on Circuits and Systems for Video Technology
  • Date: 2020-02
  • DOI: 10.1109/TCSVT.2019.2890861
  • Contributors: Ling Mei, Jianhuang Lai, Xiaohua Xie, Junyong Zhu, Jun Chen

Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image

  • Type: Book Chapter
  • Year: 2018
  • DOI: 10.1007/978-3-030-03335-4_8
  • Contributors: Xiao Liu, Ling Mei, Dakun Yang, Jianhuang Lai, Xiaohua Xie

Conclusion 

Dr. Ling Mei is a strong contender for the Best Researcher Award due to he robust academic background, impactful research, and significant contributions to AI and cognitive science. To further enhance he candidacy, increasing citation influence and emphasizing community impact would solidify he position as an exemplary researcher deserving of recognition. 🌟