Meryem Yankol-Schalck | Insurance and Machine Learning | Best Researcher Award

Published on by Cognitive Scientist Awards

Assist. Prof. Dr. Meryem Yankol-Schalck | Insurance and Machine Learning | Best Researcher Award

 

Profile

Education

She holds a Ph.D. in Econometrics and Machine Learning from the University of Orleans (2018–2022), where she investigated new machine learning approaches for financial fraud detection and survival analysis in the insurance industry under the supervision of S. Tokpavi. In addition, she earned a Data Science Certificate (Executive) from the Institute of Risk Management (IRM) in 2016–2017. Her academic background also includes a Master’s degree in Mathematical Engineering (Applied Statistics) from Paris-Sud University (2004–2007) and a Master’s degree in Mathematics from the University of Marmara in Istanbul (1995–1999). Since September 2022, she has been an Assistant Professor of Data Science at IPAG Business School in Nice and Paris. With extensive experience in the insurance sector, she integrates her professional insights into the classroom, emphasizing practical AI applications. Her curriculum reflects the latest trends in data science, fostering a dynamic learning environment tailored to students’ needs. She adapts resources and pedagogical methods to specific course objectives, utilizing tools such as Tableau for data visualization and exploring real-world business applications, including Netflix, Uber, ChatGPT, Gemini, and facial recognition technologies.

 

Work experience

She has held various academic and professional roles, combining her expertise in data science, machine learning, and business analytics. From September 2022 to January 2023, she was an adjunct faculty member at the International University of Monaco, where she taught Mathematics for Business. Prior to that, from September 2021 to August 2022, she served as an adjunct faculty member at IPAG Business School (Nice), teaching courses such as “Data Analysis for Business Management” (BBA3), “Data Processing” (MSc, e-learning), “Digital and Sales” (GEP 5th year), and “Introduction to Statistics” (BBA1). Between September 2020 and October 2021, she was an adjunct faculty member at EMLV (Paris), where she taught “Quantitative Data Analytics – SPSS” (GEP 4th year, hybrid learning) and supervised master’s theses for GEP 5th-year students.

In addition to her academic roles, she has extensive experience in the consulting and insurance sectors. From March to November 2020, she worked as a Senior Consultant at Fraeris (Paris), supporting clients in project development and providing technical solutions. She collaborated with the “Caisse de Prévoyance Sociale” (CPS) of French Polynesia, modeling healthcare expenditures using machine learning techniques. She developed predictive models to analyze healthcare costs from both the insured’s and CPS’s perspectives, offering actionable insights and data-driven forecasts to aid long-term financial planning. Prior to that, in 2019–2020, she was a Senior Manager in Pricing & Data P&C at Addactis (Paris), where she supported clients in project development, innovation, and strategic planning. As an expert referent for ADDACTIS® Pricing software, she worked on database processing for BNP Paribas Cardif, facilitating APLe software operations for quarterly account closings.

Memberships and Projects:

• Membership of the American Risk and Insurance Association (ARIA)
• Membership of the academic association AFSE.
• Member of the RED Flag Project of the University of Orléans in cooperation with CRJPothier.
• Participation at 3 Erasmus+ Projects: Artificial Intelligence to support Education (EducAItion).
• Virtual Incubator Tailored to All Entrepreneurs (VITAE).
• Artificial Intelligence in high Education (PRAIME),

Research topics:

Studies focus on the application of data science techniques to business issues, particularly in the insurance
sector, and on climate change. Another topic of study is the relationship between AI and education.

Publication

  • Yankol-Schalck, M. (2023). Auto Insurance Fraud Detection: Leveraging Cost Sensitive and Insensitive
    Algorithms for comprehensive Analysis, Insurance: Mathematics and Economics.(
    (https://www.sciencedirect.com/science/article/abs/pii/S0167668725000216)
    Banulescu‐Radu, D., & Yankol‐Schalck, M. (2024). Practical guideline to efficiently detect insurance fraud
    in the era of machine learning: A household insurance case. Journal of Risk and Insurance, 91(4), 867-
    913.
    Yankol-Schalck, M. (2022). A Fraud Score for the Automobile Insurance Using Machine Learning and
    Cross-Data set Analysis, Research in International Business and Finance, Volume 63, 101769.
    Schalck, C., Yankol-Schalck, M. (2021). Failure Prediction for SME in France: New evidence from
    machine learning techniques, Applied Economics, 53(51), 5948-5963.
    On- going research:
    Yankol-Schalck (2025). Auto Insurance Fraud Detection: Machine Learning and Deep Learning
    Applications, submitted in Journal of Risk and Insurance.
    Schalck, C., Yankol-Schalck, M. (2024). Churn prediction in the French insurance sector using Grabit
    model, revision in Journal of Forecasting.
    Schalck, C., Seungho, L., Yankol-Schalck, M. (2024). Characteristics of firms and climate risk
    management: a machine learning approach. Work in progress for The Journal of Financial Economics.
    Yankol-Schalck M.and Chabert Delio C., (2024). The application of machine learning to analyse changes in
    consumer behaviour in a major crisis. Work in progress.
    Yankol-Schalck M. and Nasseri A. (2024).An investigation into the integration of artificial intelligence in
    education: Implications for teaching and learning methods. Work in progress.

Zihao Li | Digital Economy | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Zihao Li | Digital Economy | Best Researcher Award

 

Profile

Education

He obtained his PhD in Applied Economics from Hunan University, where he studied from September 2010 to June 2014. Prior to that, he completed his master’s degree in International Trade at Jiangnan University between September 2006 and July 2008. His academic journey began at Henan Normal University, where he earned his undergraduate degree in Economics from September 2002 to July 2006.

Work experience

Since September 2022, he has been serving as an Associate Professor, Professor, and Master Supervisor at the Business School of Nanjing University of Information Science and Technology. Prior to this, from June 2014 to August 2022, he worked at the International Business School of Henan University of Economics and Law as a Lecturer, Associate Professor, and Master Supervisor.

 

Achievement

He has authored several influential books, including Research on the Impact of Foreign Direct Investment on China’s Carbon Emissions (Economic Science Press, 2016), Foreign Direct Investment, Economic and Social Transformation and Environmental Pollution (China Financial and Economic Publishing House, 2017), and Economic and Social Transformation and Improvement of Local Government’s Environmental Governance (China Economic Publishing House, 2020).

His academic contributions have been recognized with multiple awards. He received the Third Prize of the Henan Social Science Outstanding Achievement Award (Provincial and Ministerial Level) in 2020 for his research on Environmental Governance of Local Governments with Spatial Relevance and Threshold Effect from the perspective of integrity. In 2019, he was awarded another Third Prize for his study on Local Government Tax Competition, Industrial Restructuring, and China’s Regional Green Development. Additionally, in 2016, his work on China’s Opening Up, Economic Transformation, and Low Carbon Economic Development earned him the Third Prize of the Hunan Provincial Social Science Outstanding Achievement Award.

Scientific Research Project

He has led several research projects funded by national and provincial institutions. Currently, he is hosting a General Program of the National Philosophy and Social Science Foundation (21BJY114), focusing on the Mechanism, Effect, and Policy of Digital Economy Promoting China’s Collaborative Governance of Carbon Smog (2021/9–2024/9).

Previously, he successfully completed a Youth Program of the National Philosophy and Social Science Foundation (15CGL042), which examined Anti-Corruption and Environmental Governance Improvement of Local Governments (2015/6–2019/12). He also led two provincial-level Soft Science Projects funded by the Henan Provincial Department of Science and Technology: one on Industrial Transfer and Green Development of Henan’s Industry (162400410201, 2016/6–2017/9) and another on Enterprise Green Technology Innovation and Haze Pollution Control in Henan (202400410061, 2020/1–2021/6).

 

Publication

  • (1) Zihao Li, Yue Wang, Tingting Bai. International digital trade and synergetic control of pollution and carbon emissions: Theory and evidence based on a nonlinear framework[J]. Journal of Environmental Management,2025, 376(3):124450.（SCI, JCR Q1）

    (2) Zihao Li, Bingbing Yuan, Yue Wang, Jingwen Qian, Haitao Wu. The role of digital finance on the synergistic governance of pollution & carbon: Evidence from Chinese cities[J]. Sustainable Cities and Society,2024, 115(1):105812.（SCI, JCR Q1）

    (3)李子豪,王悦.数字贸易对城市减污降碳协同发展的影响——基于产业集聚与要素配置视角[J].经济经纬,2025,(1):67-79. (CSSCI检索)；

    Zihao Li, Yue Wang. The impact of digital trade on the coordinated development of urban pollution reduction and carbon reduction: based on the perspective of industrial agglomeration and factor allocation[J] Economic longitude and latitude, 2025, (1):67-79. (CSSCI)

    (4) Zihao Li, Bai Tingting, Wang Yue, Wu Haitao. The Impact of Digital Government on Corporate Green Innovation: Evidence from China[J]. Technological Forecasting and Social Change（SSCI, JCR Q1）

    (5) Tingting Bai, Yong Qi, Zihao Li, Dong Xu. Digital economy, industrial transformation and upgrading, and spatial transfer of carbon emissions: The paths for low-carbon transformation of Chinese cities[J]. Journal of Environmental Management, 2023, 344: 118528. (SCI, JCR Q1，ESI );

    (6) Bai Tingting, Qi Yong, Li Zihao*, Xu Dong. Will carbon emission trading policy improve the synergistic reduction efficiency of pollution and carbon? Evidence from216 Chinese cities[J]. Managerial and Decision Economics,2023,(8):1-24. (SSCI, JCR Q1, corresponding author)；

    (7) Zihao Li, Bingbing Yuan, Tingting Bai, Dong Xu, Haitao Wu. Shooting two hawks with one arrow: The role of digitization on the coordinated development of resources and environment [J].  Resources Policy, 2024, 90(3):104827. (SSCI, JCR Q1)

    (8) Zihao Li, Xihang Xie, Xinyue Yan, Tingting Bai, Dong Xu*. Impact of China’s Rural Land Marketization on Ecological Environment Quality Based on Remote Sensing[J]. Int. J. Environ. Res. Public Health 2022, 19, 12619

    (SSCI, JCR Q1)

    (9) Zihao Li, Bai Tingting*, Tang Chang. How does the low-carbon city pilot policy affect the synergistic governance efficiency of carbon and smog? Quasi-experimental evidence from China[J]. Journal of Cleaner Production,2022(8): 133809 (SCI, JCR Q1)

    (10)李子豪,赵元,夏子谦.环保督政与地方政府碳霾协同治理绩效提升——基于环保约谈的准自然实验估计[J].中国软科学, 2023,(12):192-201. (CSSCI检索);

    Zihao Li, Yuan Zhao, Ziqian Xia. Performance improvement of coordinated governance of environmental protection supervision and local government carbon haze: quasi natural experimental estimation based on environmental interviews[J]. China Soft Science, 2023, (12): 192-201. (CSSCI)

    (11)李子豪,王倩倩.数字经济发展能否改善地区银行业风险？-基于城市商业银行的考察[J].财经论丛,2023,(12):47-57.（CSSCI）；

    Zihao Li, Qianqian Wang. Can the development of digital economy improve regional banking risks- Based on the Investigation of Urban Commercial Banks [J]. Collected Essays on Finance and Economics, 2023,(12):47-57.（CSSCI）

    (12)李子豪,白婷婷.政府环保支出、绿色技术创新与雾霾污染[J].科研管理,2021,(2):52-63. (CSSCI检索, 国家自科基金委管理类A级重要期刊，《新华文摘》全文转载)；

    Zihao Li, Bai Tingting. Government environmental protection expenditure, green technology innovation and smog pollution[J]. Science Research Management, 2021, (2):52-63. (CSSCI)

    (13)李子豪,袁丙兵.地方政府的雾霾治理政策作用机制: 政策工具、空间关联和门槛效应[J].资源科学， 2021,(1):40-56. (CSSCI检索)；

    Zihao Li, Bingbing Yuan. Local government’s policy mechanism for haze control: policy tools, spatial correlation and threshold effect [J]. Resource science, 2021,(1):40-56. (CSSCI);

    (14)李子豪,袁丙兵.空间关联和门槛效应的地方政府环境治理研究-基于廉洁度视角的考察[J].中国软科学, 2019,(10):61-69. (CSSCI检索,国家自科基金委管理类A级重要期刊)；

    Zihao Li, Bingbing Yuan. A Study on Environmental Governance of Local Government Based on Spatial Correlation and Threshold Effect: An Investigation from the Perspective of Integrity. [J]. China Soft Science, 2019, (10):61-69. (CSSCI)

    (15) Zihao Li, Mao Jun. Local Governments’ Tax Competition, Industrial Structure Adjustment and Regional Green Development in China[J]. China Finance and Economic Review,2019(1): 93-111. (ESCI)；

Longqing Cui | Operations research | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Longqing Cui | Operations research | Best Researcher Award

 

Profile

Education

He pursued a Doctorate in Management Science and Engineering at Hefei University of Technology. Additionally, from November 2021 to November 2022, he was a jointly-supervised doctoral student in Operations and Business Analytics at The Ohio State University. Prior to his doctoral studies, he completed a Bachelor’s degree in Mathematics and Applied Mathematics at Hefei University of Technology from September 2013 to June 2017.

Work experience

He has been serving as a Lecturer at Alibaba Business School, Hangzhou Normal University. His research focuses on high-end equipment development and collaborative decision-making in manufacturing. He is the Principal Investigator (PI) for two ongoing projects. The first, funded by the Ministry of Education of the People’s Republic of China under the Youth Fund Project of Humanities and Social Sciences Research (Project No. 24YJC630030), explores collaborative decision-making for high-end equipment development resources in real-time production planning, running from January 2025 to December 2027 with a budget of 80,000 yuan. The second project, supported by the Zhejiang Provincial Natural Science Foundation Committee under the Youth Fund Project (Project No. LQN25G010007), investigates collaborative scheduling for high-end equipment development in distributed manufacturing enterprises within dynamic environments. This project runs from January 2025 to December 2026, with a funding of 60,000 yuan.

Publication

  • 1] Longqing Cui; Xinbao Liu; Shaojun Lu; Zhaoli Jia. A variable neighborhood
    search approach for the resource – constrained multi – project collaborative
    scheduling problem. Applied Soft Computing, 2021, 107:107480. (Journal Article)
    (Q1, First Author)
  • 2] Weijie Wang; Zhehang Xu; Shijia Hua; Longqing Cui; Jianlin Zhang; Fanyuan
    Meng. Threshold – initiated spatial public goods games. Chaos, Solitons & Fractals,
    2024, 184:115003. (Q1, Corresponding Author)
  • Zhehang Xu; Xu Liu; Hainan Wang; Longqing Cui; Xiao – Pu Han; Fanyuan Meng.
    Free – rider or contributor: A dilemma in spatial threshold public goods games.
    Chaos, Solitons & Fractals, 2024, 187:115455. (Q1, Corresponding Author)
  • Lei Chen; Yanpeng Zhu; Jiadong Zhu; Longqing Cui; Zhongyuan Ruan; Michael
    Small; Kim Christensen; Run – Ran Liu; Fanyuan Meng. A simple model of global
    cascades on random hypergraphs. Chaos, Solitons and Fractals, 2025, 193(116081).
    (Q1, Corresponding Author)
  • Che Xu; Yingming Zhu; Peng Zhu; Longqing Cui. Meta – learning – based sample
    discrimination framework for improving dynamic selection of classifiers under
    label noise. Knowledge – Based Systems, 2024, 295:111811. (Q1)

Vikas Palekar | Machine Leaning | Best Researcher Award

Published on by Cognitive Scientist Awards

Mr. Vikas Palekar | Machine Leaning | Best Researcher Award

 

Profile

Education

He is currently pursuing a Ph.D. in Computer Science and Engineering at Vellore Institute of Technology, Bhopal, Madhya Pradesh, since December 2018. His research focuses on developing an Adaptive Optimized Residual Convolutional Image Annotation Model with a Bionic Feature Selection Strategy. He holds a Master of Engineering (M.E.) in Information Technology from Prof. Ram Meghe College of Engineering Technology and Research, Badnera (SGBAU Amravati), which he completed in December 2012 with an impressive 88.00%, securing the first merit position in the university for the summer 2012 examination. Prior to that, he earned a Bachelor of Engineering (B.E.) in Computer Science and Engineering from Shri Guru Gobind Singhji Institute of Engineering Technology and Research, Nanded (SRTMNU, Nanded), in June 2007, achieving a commendable 74.40%.

Work experience

He is currently working as an Assistant Professor in the Department of Computer Engineering at Bajaj Institute of Technology, Wardha, since July 31, 2023. In addition to his teaching responsibilities, he serves as the Academic Coordinator of the department and has worked as a Senior Supervisor for the DBATY Winter-23 Exam at Government College of Engineering, Yavatmal.

Previously, he worked as an Assistant Professor (UGC Approved, RTMNU, Nagpur) in the Department of Computer Science and Engineering at Datta Meghe Institute of Engineering, Technology & Research, Wardha, from June 14, 2011, to June 30, 2023. During this tenure, he held the position of Head of the Department from April 21, 2016, to June 30, 2023. He taught various subjects, including Distributed Operating Systems, TCP/IP, System Programming, Data Warehousing and Mining, Artificial Intelligence, and Computer Architecture and Organization. Additionally, he contributed to university examinations as the Chief Supervisor in the Winter-2015 Examination and a committee member for the Summer-2013, Summer-2015, and Summer-2018 Examinations. He also played a key role in institutional development as a member of the Admission Committee, NBA & NAAC core committees at the department level, and as the convener of the National Level Technical Symposium “POCKET 16” organized by the CSE Department on March 16, 2016.

Earlier in his career, he served as an Assistant Professor in the Department of Computer Engineering at Bapurao Deshmukh College of Engineering, Wardha, from November 26, 2008, to April 30, 2011. He taught subjects such as Unix and Shell Programming, Object-Oriented Programming, and Operating Systems while also serving as a Department Exam Committee Member.

Achievement

He was the first university topper (merit) in M.Tech (Information Technology) and received the Best Paper Award at the 2021 International Conference on Computational Performance Evaluation (ComPE), organized by the Department of Biomedical Engineering, North Eastern Hill University (NEHU), Shillong, Meghalaya, India, from December 1st to 3rd, 2023. He has actively participated in various conferences, including presenting the paper “Label Dependency Classifier using Multi-Feature Graph Convolution Networks for Automatic Image Annotation” at ComPE 2021 in Shillong, India. He also presented his research on “Visual-Based Page Segmentation for Deep Web Data Extraction” at the International Conference on Soft Computing for Problem Solving (SocProS 2011) held from December 20-22, 2011. Additionally, he contributed to the Computer Science & Engineering Department at Sardar Vallabhbhai National Institute of Technology, Surat, by presenting “A Critical Analysis of Learning Approaches for Image Annotation Based on Semantic Correlation” from December 13-15, 2022. His work on “A Survey on Assisting Document Annotation” was featured at the 19th International Conference on Hybrid Intelligent Systems (HIS) at VIT Bhopal University, India, from December 10-12, 2022. Furthermore, he co-authored a study titled “Review on Improving Lifetime of Network Using Energy and Density Control Cluster Algorithm,” which was presented at the 2018 IEEE International Students’ Conference on Electrical, Electronics, and Computer Science (SCEECS) in Bhopal, India.

 

Publication

Nuray Alaca | Motor İmagery | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof Dr. Nuray Alaca | Motor İmagery | Best Researcher Award

 

Profile

Education

She completed her Doctorate in Physiology at Marmara University, Institute of Health Sciences, Turkey, from 2011 to 2015. Prior to that, she earned her Postgraduate degree in Orthopedic Rehabilitation from the same institute between 1999 and 2002. Her academic journey began with an Undergraduate degree in Physiotherapy and Rehabilitation from Istanbul University, School of Physical Therapy and Rehabilitation, where she studied from 1995 to 1999.

Research 

Her research focuses on physiotherapy and rehabilitation, with a strong academic background in the field. She has been serving as an Associate Professor at Acibadem Mehmet Ali Aydinlar University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, since 2021. Prior to this, she worked as an Assistant Professor from 2016 to 2021 and as a Lecturer from 2011 to 2015 at the same institution.

She has been actively involved in various research projects in physiotherapy and rehabilitation, supervising both postgraduate and doctoral students. Her ongoing research includes a randomized controlled trial on graded motor imagery as an adjunct to physiotherapy in chronic rotator cuff-related pain and an investigation into the sensorimotor representation of body schema in adolescent idiopathic scoliosis compared to healthy individuals. In 2024, she supervised a postgraduate study on the effect of manual lymph drainage in treating breast edema in patients undergoing breast-conserving surgery and adjuvant radiotherapy. Additionally, she is leading a doctoral study examining the effects of tactile stimulation, swimming exercise, or their combination on oxidative stress, inflammation, amyloid beta, neurogenesis, neurotrophic factors, and molecular signaling in an Alzheimer’s model. Her recent research includes a 2023 retrospective study on the effects of tumor type and treatments on lymphedema levels in breast cancer patients undergoing complex decongestive lymphedema therapy. She also supervised a 2021 postgraduate study exploring the effects of swimming exercise, low-level laser, or their combination on degeneration, inflammation, oxidative stress, utrophin protein, and irisin peptide in Duchenne muscular dystrophy (MDX) mice.

Publication

  • Comparison of Pressure Feedback Biofeedback Training with Conventional Lumbar Dynamic Strength Exercises for Chronic Low Back Pain: A Prospective Randomized Trial.

    Alternative therapies in health and medicine
    2024-11-18 | Journal article
    PMID: 39565706
    CONTRIBUTORS: Öztürk Ü; Çörekçi AA; Alaca N; Subaşı F

  • Comparison of static balance and pressure distribution in individuals with unilateral lower limb amputation: The role of barefoot, heel support, and vision.

    Prosthetics and orthotics international
    2024-11-08 | Journal article | Author
    DOI: 10.1097/pxr.0000000000000403
    PMID: 39514704
    CONTRIBUTORS: Tatar Y; Nilüfer Kablan; Nejla Gercek; Nuray Alaca

  • Kinesiophobia, physical activity levels and barriers in breast cancer patients, survivors, and healthy controls: A case-control analysis.

    JPMA. The Journal of the Pakistan Medical Association
    2024-08-01 | Journal article
    DOI: 10.47391/jpma.10558
    PMID: 39160708
    CONTRIBUTORS: Alaca N; Karayazi KT; Arslan DC; Karakus MB; Uras C

  • The immediate effect of thoracolumbar fascia taping on biomechanical properties, low back pain and balance in individuals with transfemoral amputation.

    Journal of back and musculoskeletal rehabilitation
    2024-01 | Journal article
    DOI: 10.3233/bmr-230314
    PMID: 38517772
    CONTRIBUTORS: Çalışkan Z; Alaca N; Kablan N

Jianbang Liu | AI-driven emotion | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Jianbang Liu | AI-driven emotion | Best Researcher Award

JianBang Liu is a faculty member at the Xinyu University, China, where he actively contributes to both research and education. His research interests lie at the intersection of Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Artificial Sentiment Analysis, with a specific focus on developing AI-driven emotion and cognition analysis. He has published extensively in international journals, significantly advancing the fields of HCI and AI. He continues to explore innovative applications of these technologies, aiming to bridge theoretical research with practical implementations.

Profile

Education

JianBang Liu obtained his Master’s degree from Qilu University of Technology (Shandong Academy of Sciences), China, in 2018. He then completed his Ph.D. at the Institute of Visual Informatics, UniversitiKebangsaan Malaysia (National University of Malaysia), specializing in Human-Computer Interaction (HCI) and Artificial Intelligence (AI).

Research Interests

Artificial Intelligence (AI), Human-Computer Interaction (HCI), AI-driven emotion and cognition analysisRe

Research Innovation

Completed/Ongoing Research Projects: State the number of research projects you have completed or are currently working on.

Citation Index: Provide information about your citation index in relevant databases such as SCI, Scopus, etc.

Consultancy/Industry Projects: Indicate the number of consultancy or industry-sponsored projects you have been involved in.

Books Published (ISBN): Specify the number of books you have published with ISBN numbers.

Patents Published/Under Process: Mention the number of patents you have published or are currently in the process of publishing.

JournalsPublished: State the number of articles you have published in indexed journals.

Editorial Appointments: If applicable, list any editorial positions you hold in journals or conferences.

Collaborations: Describe any significant collaborations you have been part of in your research career.

Professional Memberships: List memberships in professional organizations or societies relevant to your field.

Areas of Research: Specify the main areas or topics you focus on in your research work.

Books /Chapters in Books：

Local optimal Issue in Bees Algorithm: Markov Chain Analysis and Integration with Dynamic Particle Swarm Optimization Algorithm (Intelligent Engineering Optimisation with the Bees Algorithm (978-3-031-64935-6/ 978-3-031-64936-3 (eBook)))

Publication

  • Emotion assessment and application in human-computer interaction interface based on backpropagation neural network and artificial bee colony algorithm (SCI Q1)
  • Emotion assessment and application in human-computer interaction interface based on backpropagation neural network and artificial bee colony algorithm (SCI Q1)
  • Personalized Emotion Analysis Based on Fuzzy Multi-Modal Transformer Model (SCI Q2)
  • Immersive VR Learning experiences from the perspective of telepresence, emotion, and cognition(SSCI Q1)

Reyhan Eskiyurt | Assertiveness | Cognitive Bias Awareness

Published on by Cognitive Scientist Awards

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)

Gilbert Giacomoni | Coupling Human | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Gilbert Giacomoni | Coupling Human | Best Researcher Award

Profile

Education

He holds a Doctorate in Engineering & Management from Mines ParisTech (Paris Sciences & Letters University), showcasing expertise in the intersection of technology and management. Additionally, they have earned a Master’s in Research for Scientific Management Methods from Paris 9 Dauphine University, in collaboration with Mines ParisTech (Scientific Management Center) and École Polytechnique (Center for Management Research), with a focus on decision-support systems. Further expanding their interdisciplinary knowledge, they also hold a Professional Master’s in Artificial Intelligence & Ethnology from Paris 7 University (Ethnology/Semantics) and Paris 8 University (Artificial Intelligence), blending AI with human sciences for a unique analytical perspective.

Research Interests

Gilbert Giacomoni research interests span multiple interdisciplinary domains, including behavioral economics, where they explore decision-making processes and human behavior in economic contexts. Their work in sustainability and innovation focuses on key sectors such as health, food, and the environment, addressing pressing global challenges. Additionally, they specialize in strategy and organization, examining business structures, leadership, and strategic decision-making. Their expertise in information systems encompasses cutting-edge technologies like artificial intelligence (AI), data science, and machine learning, leveraging digital transformation to drive efficiency and innovation across industries.

Work experience

Dr. Gilbert Giacomoni has an extensive academic and professional background, integrating research, leadership, and industry expertise. They are a member of Paris Saclay Applied Economics (PSAE), a joint research center affiliated with France’s National Research Institute for Agriculture, Food, and Environment (INRAE). Additionally, they are associated with AgroParisTech, a part of Paris Saclay University, ranked 13th globally.

As the Head of the “Industrial Economy, Public Management, and Innovation” Research & Teaching Unit, Dr. [Name] leads studies in information systems (AI, data science, machine learning), behavioral economics, sustainability & innovation (health, food, environment), and strategy & organization.

Beyond academia, they serve as a board member of Codegaz, a humanitarian association. Their 20+ years of industry experience span operational leadership in sectors such as industry, healthcare, and services, with affiliations including Armines, Airbus Defence & Space, Louvre Group, Compagnie des Cristalleries de Baccarat, and Mutualité Fonction Publique. They also have a strong background in entrepreneurship, business creation, and innovative technologies.

Books /Chapters in Books：

– Giacomoni G. (2022), “Finance durable, bien commun et décisions d’investissement : la
dimension économique incomprise du concept fondationnel d’Utilité commune”, in Pluchart
J.-J. & Cadet I. (Dir.) (2022), Les paradoxes de la finance durable et responsable, ESKA (Eds), pp.
283-305, France. Labélisé FNEGE (RSE).
– Giacomoni G. & Sardas J.-C., (2014), “Why innovation requires new scientific foundations for
manageable identities of systems” (Part II – Chap.4), in R&D Strategy and Operations –
Innovation and IT in an International Context, T’Eni D. & Rowe F. (Eds), Palgrave MacMillan
(Publisher).
– Giacomoni G. & Jardat R., (2014), “L’innovation par l’hybridation: une hydre scientifique”, in
Pesqueux Y., Freitas Gouveia de Vasconcelos I., Simon E., L’Entreprise durable et le
changement organisationnel – L’Organisation innovatrice et durable, éditions – ems –
Management & Société, Chap.1, pp. 27-54, hors collection.

Honors and Awards

– National winner, creation of innovative technology companies, Ministry of Youth, National
Education and Research, Official Journal of 9-11-2002.
– Capital-IT Best40s Selection (10th edition, 2003): European Meeting on Financing of New
Information and Communication Technologies, 4 April.
– Master 2003 Tremplin-Entreprises (capital investissement), French Senate (prix délivré dans
l’hémicycle par le Président J.-P. Raffarin) & Essec, 8-9 Juillet.
– Prix Spécial 2005 du Ministère de l’Education Nationale, de l’Enseignement Supérieur et
de la Recherche – Ministère Délégué à la Recherche.
– Gold Medal 2005, International Jury – World Intellectuel Property Organization (WIPO) &
Swiss Federal Government, 33th International Exhibition of Inventions Geneva, April.

Publication

  • Giacomoni G. (2024), A Blind Spot in the Reframing of a Universe of Possibles: Towards a
    Suitable Model for Decision-Making Theory and A.I., Journal of Applied Mathematics and
    Physics, Scientific Research Publishing, 12, 2172-2189.
  • Giacomoni G. (2023), Participatory financing of sustainable entrepreneurship : A postmodern
    Markowitz portfolio theory, Management & Sciences Sociales, n°35, Diversité des modèles
    d’affaires en Afrique.
  • Giacomoni G., (2023), The need for products interchangeability: an unsolved problem of
    semantic conflicts no Product Definition System can support perfectly, Journal of The
    Knowledge Economy, Springer, vol. 36, n°2.
  • Cuénoud T., Giacomoni G., Dang R. & Houanti L’H. (2022), Influence of Geography in the
    Crowdfunding of a Local Microbrewery, Innovations – Journal of Innovation Economics &
    Management, Special issue “Platforms, communities and ecosystems in a digital age”, De
    Boeck Supérieur (Eds).
  • Giacomoni G. (2021), Towards a General Framework for (early-stage of) Innovation Shaped
    with A.I. to Create and Transform Market Offerings, European Management Review (Wiley
    Online Library), Vol. 19, n° 1, pp. 107-122.

Siamak Khodarahimi | Clinical Psychology | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof Dr. Siamak Khodarahimi | Clinical Psychology | Best Researcher Award

Profile

Education

Dr. S. Khodarahimi holds multiple academic degrees in psychology, including a B.A. in Clinical Psychology from Shiraz University, Iran (1987), and an M.A. in Clinical Psychology from Meshed Ferdowsi University, Iran (1994), where he achieved a GPA of 18.93. He earned his first PhD in Clinical Psychology from Atlantic International University, USA, in 2005, with a GPA of 3.76. Further advancing his expertise, he completed a Postdoctoral Fellowship in Clinical Psychology at Universiti Sains Malaysia in 2010, receiving an “Excellent” rating. In 2020, he obtained a second PhD in Psychology from Lorestan University, achieving a remarkable GPA of 19.61. His research has focused on various aspects of psychology, including psychotherapy, personality structures, workplace stress, and sleep and dream quality in individuals with anxiety disorders.

Work experience

Dr. S. Khodarahimi has held several academic and administrative positions throughout his career. From 2000 to 2022, he served as an Assistant Professor of Psychology at Islamic Azad University, Eghlid Branch. Additionally, between 2000 and 2006, he held the role of Vice President for Research at the same institution and was a member of the Research Council for the First Zone of Islamic Azad University.

His earlier academic roles include serving as a contractual faculty staff member in the Psychology Department at Bavanat Payam Nour University, Fars, Iran (1999–2002), and as a faculty staff member of the Research Group for Behavioral Sciences at the Iranian Academic Center for Education, Culture, and Research (ACECR), Shiraz (1998–1999). Prior to that, from 1994 to 1997, he was a contractual faculty member in the Psychology Department at Chamran Ahwaz University, Ahwaz, and contributed to the Research Group for Social Psychology at ACECR, Ahwaz.

Dr. Khodarahimi’s leadership experience includes serving as the Dean of the Research Center for Psychological Services in Shiraz, Fars, from 1990 to 1992, highlighting his longstanding commitment to psychological research and education.

Teaching Experience

Dr. S. Khodarahimi has an extensive teaching and training background, spanning multiple universities and covering a wide range of psychology courses.

From 1993 to 1997, at Chamran Ahwaz University, he taught courses such as Mental Health, Personality Theories, Principles of Clinical Psychology, Psychopathology (1), Theories of Psychotherapy, and Introduction to Diagnostic and Therapeutic Methods.

Between 1999 and 2002, at Payam Nour University – Bavanat Center, his teaching portfolio included Psychology of Development (1 & 2), Psychology of Personality, Social Psychology, Experimental Psychology, Individual Research Projects in Psychology, Introduction to Neuropsychology, Abnormal Psychology, Psychology Texts in English (1 & 2), Research Method in Psychology, and Psychology of Work.

From 2000 to 2022, at Islamic Azad University – Eghlid Branch, he instructed courses such as Introduction to Psychology, Educational Psychology, Social Psychology for Nursing, Psychology of Learning, Developmental Psychology (1 & 2), Counseling Methods and Outlines, Child Counseling, Exceptional Psychology, and Introduction to Practical Research.

Dr. Khodarahimi’s diverse teaching experience reflects his expertise in various psychological disciplines, ranging from clinical and developmental psychology to research methodology and neuropsychology.

Research interests

1. Positive Psychology, Mental Health, Cross Cultural, Psychotherap and
Interdiciplinary Reaserch.
2. Investigation in psychosocial interventions and psychopathological issues
among adolescents, youth, adults and women.
3. Research in anxiety disordres, worry, emotions, and high risk behaviors with
focus on psychological interventions at individual and collective levels.

Publication

Mojtaba Rahimian Bougar | Clinical Psychology | Best Researcher Award

Published on by Cognitive Scientist Awards

Mr. Mojtaba Rahimian Bougar | Clinical Psychology | Best Researcher Award

 

 

Profile

Education

He earned a Bachelor of Arts in General Psychology from Payame Noor University of Abadeh Center in 2014, where he conducted a research project titled Comparison of Early Maladaptive Schemas Among Three Groups of Men Dependent on Opium, Under Treatment, and Non-Dependent Over 15 Years of Age in Shiraz City. In 2023, he completed his Master of Arts in Clinical Psychology at the Islamic Azad University, Kish International Branch. His master’s research focused on The Structural Model of Suicidal Tendency Prediction Based on Psychological Needs, Mental Pain, and Object Relations with the Moderating Roles of Defense Mechanisms and Ego-Strength.

Work experience

He is currently working as a Clinical Psychologist with an MA in Clinical Psychology. Previously, from 2013 to 2016, he served as an Expert in Charge and Research Consultant at Larestan University of Medical Sciences, Larestan, Iran. From 2019 to 2024, he worked as a Psychologist at the Social Emergency Center under the Welfare General Bureau of Fars Province in Shiraz, Iran. During the same period, he was an active member of various working groups, including the Working Group on Preventing Drug Misuse and Addiction, the Association for the Protection of Child Labourers under the Governorship & Welfare General Bureau, and the Suicide Prevention initiative within the Mental Health Unit of the Health & Care Professional Network in Eqlid City, Iran.

From 2013 to 2016, he worked as an Expert and Consultant at the Vice-Chancellor for Research and Technology at Larestan School of Medical Sciences, Larestan, Iran. From 2019 to 2024, he served as a Psychologist at the Eghlid Social Emergency Center under the Welfare General Bureau of Fars Province in Shiraz, Iran. Since 2019, he has been an active member of the Suicide Management and Prevention Working Group, as well as the Social Damage Prevention Working Group in Eqlid City, Fars Province. In 2023, he took on the role of Social Service Specialist at the Welfare Organization in Fars Province, Eqlid City, where he continues to contribute to social welfare initiatives.

National and international presentations and conferences

Farmani, A., Faramarzi, H., Rahimian Bougar, M., Sadeghi, M., & Aminian, M. (2021). Psychosocial
trauma screening during the coronavirus disease 2019 (COVID-19) pandemic. In the 3rd International
Conference on Psychology, Counseling and Education, 11 February 2021, Mashhad, Iran.
Rahimian Bougar, M., Farmani, A., Ahmadi, S., & Rahiminejad, S. (2021). Comparison of Early
Maladaptive Schemas in Opioid Abusers and Healthy Individuals. In the 3rd International Conference
on Psychology, Counseling and Education, 11 February 2021, Mashhad, Iran.
Farmani, A., Farahmand, H., Sadeghi, M., & Rahimian Bougar, M. (2021). Prediction of Marital
Conflict Management Styles on the Basis of the Big Five Factors of Personality with the Mediating Role
of Patience Components among Young Females. In the 9th International Conference of Modern
Research in Psychology,Counseling,and Educational Sciences, 22 July 2021, Tbilisi, Georgia.
Rahimian Bougar, M. (2016). The study of effectiveness of progressive muscle relaxation to reduce
symptoms in patients with migraine headache. The 5th Symposium of World Federation of
Neurosurgical Societies & The 7th International Neurosurgery Congress & The 1st International
Neuroscience Confederation Congress, 17-22 Apr 2016, Tehran, Iran.
Rahimian Bougar, M. (2016). The study of the prevalence of sexual dysfunction and its relationship to
quality of life and mental health of cancer patients. The 5th Symposium of World Federation of
Neurosurgical Societies & The 7th International Neurosurgery Congress & The 1st International
Neuroscience Confederation Congress, 17-22 Apr 2016, Tehran, Iran.
Sekhavati, E., Rahimian Bougar, M., Bostani, S., & Saem, J. (2016). Investigating the Individual and
Effective Protection Factors of Appropriate and Inappropriate Cesarean Section in Pregnant Women
Referred to Larestan Imam Reza Hospital. International Congress on Social Studies on Health For
Students, 21-23 December 2016, Shiraz, Iran.
Sekhavati, E., Rahimian Bougar, M., Bostani, S., & Raeisi, Z. (2016). An Explanation on the Prevalence
of Learning Disorders in Terms of Socioeconomic Factors of Health among the Elementary School
Students in Larestan City during Year 2014. International Congress on Social Studies on Health For
Students, 21-23 December 2016, Shiraz, Iran.
Sekhavati, E., Rahimian Bougar, M., Raeisi, Z., Bostani, S., & Sarafraz, N. (2016). THE PREVALENCE
OF SEXUAL RISK BEHAVIOR AND PROGNOSIS OF HIV INFECTION IN ADOLESCENTS AND
YOUNG ADULTS IN LARESTAN CITY. At the 17th International & Iranian Congress of Microbiology,
23-25 August 2016, Tehran, Iran.
Sekhavati, E., Neydavodi, M., Rahimian Bougar, M., Abedi, K., Mohammadi, Z., Raeisi, Z. (2016).
PREVALENCE OF PEDICULOSIS IN STUDENTS OF LARESTAN CITY IN 2015. At the 17th
International & Iranian Congress of Microbiology, 23-25 August 2016, Tehran, Iran.
Sekhavati, E., Rahimian Bougar, M., Bostani, S., & Alaie Nejad, M. (2016). Investigating the effects of
common atmospheric and air pollutants on cardiovascular diseases and neurological disorders: A
review study: with an emphasis on the pathology of atmospheric elements and air pollution in Iran. The
2nd International Conference on Environmental sciences, 25 & 26 May 2016, Tehran, Iran.

Publication