Fei Wang | Management Science | Best Researcher Award

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Dr. Fei Wang | Management Science | Best Researcher Award

Lecturer at Hebei University of Economics and Business, China

Wang Fei is a lecturer at the School of Management Science and Engineering, Hebei University of Economics and Business. His research focuses on decision theory and methods, with expertise in fuzzy decision-making, multi-criteria decision-making (MCDM), and uncertainty modeling. He has published several high-impact papers in international journals and has led and participated in multiple research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Economics and Management (September 2019 – January 2023)
    Yanshan University, School of Economics and Management
  • Master’s Degree in Economics and Management (September 2016 – June 2019)
    Yanshan University, School of Economics and Management

Professional Experience 💼

  • Lecturer (January 2023 – Present)
    School of Management Science and Engineering, Hebei University of Economics and Business

Research Interests 🔬

  • Decision Theory and Methods
  • Multi-Criteria Decision-Making (MCDM)
  • Fuzzy Systems and Uncertainty Modeling
  • Artificial Intelligence in Decision-Making
  • Data Science Applications in Management

Publications & Research Contributions

Wang Fei has authored several journal papers in high-impact publications, including Information Sciences and International Journal of Intelligent Systems. His research contributions include:

  • Development of novel multi-criteria decision-making (MCDM) models using fuzzy logic and prospect theory.
  • Applications of cubic fuzzy sets and similarity measurements in decision-making problems.
  • Exploration of neutrosophic and hesitant fuzzy systems in intelligent decision analysis.

Research Projects

Lead Investigator:

  • Hebei Education Department Science Research Project: “Research on Cubic Fuzzy Multi-Criteria Decision-Making Method and Its Applications” (Project No. BJK2024132)

Co-Investigator:

  • Public Opinion and Threat Analysis in Social Networks (Project No. 2019041201003)
  • Spatiotemporal Fuzzy Grading for Service Group Recommendation (Project No. HB19GL009)
  • Fuzzy Situation Analysis in Public Crisis Management (Project No. SQ201031)

Awards and Honors🏆✨

  • Recognized for contributions to fuzzy multi-criteria decision-making in academic research.
  • Published in top-tier international journals in the field of decision science and artificial intelligence.
  • Secured research funding for fuzzy logic applications in decision-making.

Conclusion🌟

Wang Fei is an emerging researcher in decision science and fuzzy logic-based multi-criteria decision-making. His work integrates mathematical modeling, uncertainty theory, and artificial intelligence, contributing to the advancement of intelligent decision support systems. As a lecturer and active researcher, he continues to drive innovations in fuzzy MCDM and its real-world applications.

Publications 📚

1️⃣ Novel score function and standard coefficient-based single-valued neutrosophic MCDM for live streaming sales
🏛 Journal: Information Sciences
📅 Date: January 2024
🔗 DOI: 10.1016/j.ins.2023.119836
✍ Contributor(s): Fei Wang

2️⃣ Similarity and Pythagorean reliability measures of multivalued neutrosophic cubic set and its application to multiple‐criteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: January 2022
🔗 DOI: 10.1002/int.22618
📖 ISSN: 0884-8173 / 1098-111X
✍ Contributor(s): Fei Wang, Xiaodong Zhao

3️⃣ Prospect‐theory and geometric distance measure‐based Pythagorean cubic fuzzy multicriteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: August 26, 2021
🔗 DOI: 10.1002/int.22453
✍ Contributor(s): Fei Wang, Xiaodong Zhao

Hadaate Ullah | IoT | Best Researcher Award

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Dr. Hadaate Ullah | IoT | Best Researcher Award

Associate Professor at University of Science and Technology Chittagong, Bangladesh

Dr. Hadaate Ullah is an Associate Professor in the Department of Electrical & Electronic Engineering (EEE) and the Dean of the Faculty of Science, Engineering, and Technology (FSET) at the University of Science and Technology Chittagong (USTC), Bangladesh. He has over 15 years of experience in academia, including leadership roles such as department chair and additional director of IQAC under the HEQEP project. His research focuses on artificial intelligence, biomedical signal processing, and IoT-based healthcare solutions, with significant contributions in the fields of physiological signal analysis, machine learning, and biosensors.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Engineering (D. Engg.) in Electronic Science and Technology

    • Institution: University of Electronic Science and Technology of China (UESTC), China
    • Year: 2018 – 2023 (Awarded July 2023)
    • Thesis Title: Physiological Signal-Based Recognition System for Arrhythmia with Machine Learning and Flexible Biosensor
    • Supervisor: Prof. Dr. Yuan Lin
    • Scholarship: Chinese Government Scholarship (CGS)

  • MSc in Applied Physics and Electronic Engineering (now Electrical & Electronic Engineering)

    • Institution: University of Rajshahi, Bangladesh
    • Year: 2006 – 2008
    • Result: 1st Class (Second Position)
    • Thesis Title: Blocking Probability of Pruned Optical Banyan Networks Using Vertical Stacking Scheme with Given Amount of Crosstalk
    • Supervisor: Prof. Dr. Mamun-ur Rashid Khandker

  • BSc (Hons.) in Applied Physics and Electronic Engineering (now Electrical & Electronic Engineering)

    • Institution: University of Rajshahi, Bangladesh
    • Year: 2002 – 2006
    • Result: 1st Class (Third Position)
    • Project Title: Design and Implementation of an Audio Function Generator
    • Supervisor: Prof. Dr. Shaikh Enayet Ullah

  • Higher Secondary Certificate (HSC)

    • Institution: Govt. Hazi Muhammad Mohsin College, Chittagong, Bangladesh
    • Year: 2000
    • Result: 1st Division

  • Secondary School Certificate (SSC)

    • Institution: Mait Bhanga High School, Sandwip, Chittagong, Bangladesh
    • Year: 1998
    • Result: 1st Division

Professional Experience 💼

Current Roles

  • Dean, Faculty of Science, Engineering and Technology (FSET) (Feb 2024 – Present)

    • University of Science and Technology Chittagong (USTC), Bangladesh
    • Responsible for faculty leadership, academic program management, and research development.

  • Associate Professor, Department of Electrical & Electronic Engineering (EEE) (Dec 2023 – Present)

    • USTC, Bangladesh

Previous Roles

  • Assistant Professor, Department of EEE (2012 – 2023)

    • Southern University Bangladesh (2018-2020: On study leave for PhD)

  • Chairman, Department of EEE (May 2023 – Nov 2023; Sept 2012 – Aug 2018)

    • Southern University Bangladesh

  • Lecturer, Department of EEE (2008 – 2012)

    • Southern University Bangladesh

  • Additional Director, Institutional Quality Assurance Cell (IQAC) (HEQEP Project: World Bank-MoE/UGC) (2016 – 2018)

    • Southern University Bangladesh

Research Interests 🔬

Dr. Hadaate Ullah’s research is centered around:

  • Biomedical Signal Processing (Physiological Signal-Based Recognition, Arrhythmia Detection)
  • Artificial Intelligence & Machine Learning (Deep Learning for Medical Imaging, AI in Healthcare)
  • Flexible Biosensors & Wearable Technology
  • IoT-based Healthcare Systems
  • Wireless Communication & Optical Networks

Awards and Honors🏆✨

  • Chinese Government Scholarship (CGS) for Doctoral Studies (2018-2023)
  • Best Researcher Award – Southern University Bangladesh (2017)
  • Institutional Quality Assurance Cell (IQAC) Recognition for Academic Excellence (2018)
  • Top Researcher Recognition at USTC (2023)

Conclusion🌟

Dr. Hadaate Ullah is a distinguished academician and researcher with expertise in biomedical signal processing, AI-based healthcare solutions, and IoT-driven medical applications. His leadership roles, including serving as the Dean of FSET at USTC, demonstrate his commitment to advancing education and research. With a strong publication record, research impact, and experience in quality assurance in higher education, he continues to make significant contributions to the field of electrical and electronic engineering.

Publications 📚

1️⃣ Real-Time Object Detection for Unmanned Vehicles in Bangladesh
✍️ Authors: M. Liakat Ali, Topu Biswas, Shahin Akter, M. Farhan Jawad, Hadaate Ullah (CA)
📄 Journal: The Journal of Engineering
📊 Quartile: SCI-Q2
⭐ Impact Factor: 0.80

2️⃣ SVM-VGGNet-16: A Novel Approach for Lung Cancer Detection
✍️ Authors: Mohd Munazzer Ansari, Shailendra Kumar, Mohd Ammar Bin Hayat, Sumbul, Saba Parveen, Ahmad Ali, Tao Zhang, Md Belal Bin Heyat, Hadaate Ullah (CA)
📄 Journal: Current Medical Imaging (Accepted)
📊 Quartile: SCI-Q2
⭐ Impact Factor: 1.10

3️⃣ Intelligent Internet of Medical Things for Depression: Advancements, Challenges, and Trends
✍️ Authors: Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, Saba Parveen, Hafiz Muhammad Zeeshan, Hadaate Ullah (CA), Yun-Hsuan Chen, Lu Wang, Mohammad Sawan
📄 Journal: International Journal of Intelligent Systems (Accepted)
📊 Quartile: SCI-Q1
⭐ Impact Factor: 5.00

4️⃣ Multi-Classification of Brain Tumors via Deep Convolutional Networks
✍️ Authors: Rajat Mehrotra, MA Ansari, Rajeev Agrawal, Md Belal Bin Heyat, Pragati Tripathi, Eram Sayeed, Saba Parveen, John Irish G. Lira, Hadaate Ullah (CA)
📄 Journal: International Journal of Intelligent Systems (Under Review)
📊 Quartile: SCI-Q1
⭐ Impact Factor: 5.00

5️⃣ Motion Artifact Reduction in ECG Signals Using 2D Convolutional De-noising Autoencoders
✍️ Authors: Hadaate Ullah, Md Belal Bin Heyat, Md. Mohsin Sarker Raihan, Topu Biswas, Dakun Lai
📄 Journal: Digital Signal Processing (Accepted)
📊 Quartile: SCI-Q1
⭐ Impact Factor: 2.90

6️⃣ Automatic Premature Ventricular Contraction Recognition Using Deep Learning
✍️ Authors: Hadaate Ullah, Md Belal Bin Heyat, Faijan Akhtar, Abdullah Y. Muaad, Chiagoziem C. Ukwuoma, Muhammad Bilal, Mahdi H. Miraz, MAS Bhuiyan, Kaishun Wu, Robertas Damaševičius, Taisong Pan, Min Gao, Yuan Lin, Dakun Lai
📄 Journal: Diagnostics
📊 Quartile: SCI-Q1
⭐ Impact Factor: 3.992

7️⃣ End-to-End Cardiac Arrhythmia Recognition Using Deep Learning on ECG Signals
✍️ Authors: Hadaate Ullah, Md Belal Bin Heyat, Faijan Akhtar, Sumbul, Abdullah Y. Muaad, Md. Sajjatul Islam, Zia Abbas, Taisong Pan, Min Gao, Yuan Lin, Dakun Lai
📄 Journal: Journal of Computational Intelligence and Neuroscience
📊 Quartile: SCI-Q1
⭐ Impact Factor: 3.120

8️⃣ Recent Advances in Wearable Biosensors for Health Monitoring
✍️ Authors: Hadaate Ullah, Md A. Wahab, Geoffrey Will, Mohammad R. Karim, Taisong Pan, Min Gao, Yuan Lin, Dakun Lai, Mahdi H. Miraz
📄 Journal: Biosensors
📊 Quartile: SCI-Q1
⭐ Impact Factor: 5.743

9️⃣ Machine Learning-Based Classification of Uterine Dystemperament and Vaginal Discharge
✍️ Authors: Arshiya Sultana, Wajeeha Begum, Rushda Saeedi, Khaleequr Rahman, Md Belal Bin Heyat, Faijan Akhtar, Ngo Tung Son, Hadaate Ullah (CA)
📄 Journal: Complexity
📊 Quartile: SCI-Q2
⭐ Impact Factor: 2.121

Dan Richards | Advertising | Best Researcher Award

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Prof. Dan Richards | Advertising | Best Researcher Award

Department of Economics at Tufts University, United States

Daniel J. Richards is a distinguished Professor of Economics at Tufts University with extensive experience in teaching, research, and academic leadership. His expertise spans macroeconomics, industrial organization, and competition economics. With a strong publication record in top economic journals, his work focuses on market structures, competition, advertising, and monetary policy. He has also held visiting positions at prestigious institutions like MIT, Cambridge University, and the Federal Reserve Bank of Boston.

Publication Profile 

Scopus

Educational Background 🎓

  • A.B. – Oberlin College
  • Ph.D. – Yale University
    • Dissertation: “Market Valuation and Investment in the U.S. Railroad Industry, 1953-60”

Professional Experience 💼

  • Tufts University

    • Professor of Economics (2003–Present)
    • Associate Professor of Economics (1989–2003)
    • Assistant Professor of Economics (1985–1989)
    • Chair, Department of Economics (2012–2021)

  • Hamilton College

    • Assistant Professor of Economics (1981–1985)

  • Visiting Positions & Fellowships:

    • Cambridge Economics Faculty (Visiting Faculty Fellow, 2023)
    • Institute for New Economic Thinking (INET), Cambridge University (Visiting Faculty Fellow, 2019)
    • Sloan Fellows Program, MIT (Visiting Professor, 1996–2005)
    • Federal Reserve Bank of Boston (Visiting Scholar, 1993)
    • Queen’s University, Ontario (Visiting Assistant Professor, 1983–1984, 1990–1991)
    • University of New South Wales (Visiting Faculty Scholar, 1984–1985)

Research Interests 🔬

  • Industrial Organization (Oligopoly, competition, market concentration)
  • Macroeconomics (Inflation policy, monetary shocks, labor markets)
  • Advertising & Consumer Welfare
  • Innovation & Market Structure
  • Monetary Policy & Economic Cycles

Awards and Honors🏆✨

While the CV does not explicitly list awards, his numerous visiting fellowships at prestigious institutions like Cambridge University, MIT, and the Federal Reserve Bank of Boston suggest strong academic recognition.

Conclusion🌟

Daniel J. Richards is a highly accomplished economist, recognized for his contributions to industrial organization, macroeconomics, and competition policy. His long-standing tenure at Tufts University, leadership experience as department chair, and numerous visiting professorships at elite institutions demonstrate his influence in the field. His research in oligopoly, targeted advertising, and market competition continues to shape economic thought, as evidenced by his prolific publication record in top-tier journals.

Publications 📚

1️⃣ (Forthcoming) 📢 “Targeted Advertising, Concentration, and Consumer Welfare” (with L. Pepall) – Information Economics and Policy, 2025.

2️⃣ (Book Chapter) 📖 “Oligopoly” (with L. Pepall) – Elgar Encyclopedia on the Economics of Competition, Regulation, and Antitrust, Edward Elgar Publishing, 2024.

3️⃣ (Lead Article) 🎯 “Value-Enhancing Targeted Advertising and Price Competition” (with L. Pepall) – Review of Industrial Organization, 59 (Nov. 2021), 443-59.

4️⃣ (Data & Competition) 📊 “Competition and Consumer Data” (with G. Norman, L. Pepall, and L. Tan) – Research in Economics, 70 (Dec. 2016), 752-65.

5️⃣ (Innovation & Patents) 🏆 “Sequential Product Innovation, Competition, and Patent Policy” (with G. Norman & L. Pepall) – Review of Industrial Organization, 48 (May 2016), 289-306.

6️⃣ (Market Structure) 🏗️ “Entrepreneurial First Movers, Brand-Name Fast Seconds, and the Evolution of Market Structure” – B.E. Journals in Economic Analysis and Policy, Vol. 8, Issue 3 (Nov. 2008).

7️⃣ (Advertising & Market Power) 📺 “Generic Product Advertising, Spillovers, and Market Concentration” (with G. Norman & L. Pepall) – American Journal of Agricultural Economics, 90 (Aug. 2008), 719-32.

8️⃣ (TV & Bidding Wars) 🎬 “Advertising and Bidding for Television Programming” (with L. Pepall) – Economics Letters, 90 (Feb. 2006), 237-242.

9️⃣ (Mergers & Consumer Welfare) 🔄 “Product Differentiation, Cost-Reducing Mergers, and Consumer Welfare” (with G. Norman & L. Pepall) – Canadian Journal of Economics, 38 (Nov. 2005), 1204-23.

🔟 (Merger Strategy) 🔥 “Mergers and Deterrence” – B.E. Journals in Economic Analysis and Policy, Vol. 3, Issue 1 (June 2003).

1️⃣1️⃣ (Upstream-Downstream Games) 🎭 “Reach for the Stars: A Strategic Upstream-Downstream Game” (with L. Pepall) – Economica, 68 (Nov. 2001), 489-504.

1️⃣2️⃣ (Innovation & Imitation) 💡 “Imitation, Innovation, and Social Welfare” (with L. Pepall) – Southern Economic Journal, 60 (Jan. 1994), 673-84.

1️⃣3️⃣ (Inflation & Politics – U.S.) 🏛️ “What Inflation Policy Do American Voters Want and, Do They Get It?” – New England Economic Review, (Sept.-Oct. 1993), 33-44.

1️⃣4️⃣ (Inflation & Politics – Canada) 🍁 “Do Canadians Want Zero Inflation? Evidence from a Model with Sophisticated Voters” – Canadian Public Policy, 18 (Dec. 1992), 33-44.

1️⃣5️⃣ (Wages & Market Power) 💰 “Wage-Price Flexibility, Market Power, and the Cyclical Behavior of Real Wages, 1959-80” (with D. Garman) – Quarterly Journal of Economics, 107 (Nov. 1992), 1437-49.

 

 

 

Monika Prakash | Medical Biotechnology | Best Researcher Award

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Dr. Monika Prakash | Medical Biotechnology | Best Researcher Award

Assistant Professor at Ramaiah Institute of Technology, India

Dr. Monika P is an accomplished academician and researcher with a focus on biotechnology, particularly in cell biology, nanobiotechnology, and wound healing. She is currently an Assistant Professor at the Department of Biotechnology, MS Ramaiah Institute of Technology (MSRIT), Bengaluru, where she has been teaching since November 2016. She has over 7 years of research experience and has contributed significantly to the development of novel therapeutic solutions for chronic wound healing, including research on fibroblasts, myofibroblasts, and phytocompounds.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Biotechnology, Visvesvaraya Technological University (VTU), Belagavi, 2023
  • M.Tech in Biotechnology, M.S. Ramaiah Institute of Technology (Autonomous Institute Affiliated to VTU), Bengaluru, 2014, CGPA: 9.43 (Second topper)
  • B.E. in Biotechnology, M.S. Ramaiah Institute of Technology, Bengaluru, 2011, CGPA: 8.8
  • P.U.C. (12th Standard), Maharani Lakshmi Ammanni College, Bengaluru, 2007, 83.5%
  • S.S.L.C. (10th Standard), Nirmala Rani High School, Bengaluru, 2005, 90.72%

Professional Experience 💼

  • Assistant Professor, Department of Biotechnology, MSRIT, Bengaluru, Nov 2016–Present
  • Over 8 years of teaching experience in various biotechnology-related courses
  • Guided multiple undergraduate and postgraduate student projects in fields like tissue engineering, nanobiotechnology, and chronic wound healing

Research Interests 🔬

  • Cell Biology & Cell Culture: Specialization in fibroblasts, myofibroblasts, and their role in wound healing.
  • Nanobiotechnology: Development of novel nanoformulations and scaffolds, especially for medical applications like chronic wound healing.
  • Phytocompounds: Investigating plant-based compounds for their therapeutic potential in wound healing, particularly for diabetic foot ulcers and burn wounds.
  • Chronic Wound Healing: Focus on developing low-cost, effective solutions for enhancing wound regeneration, especially for non-healing ulcers.

Awards and Honors🏆✨

  • Young Women Research Award (2025), Venus International Foundation
  • Certificate of Excellence for completing “Certified Peer Reviewer Course” from Elsevier Researcher Academy (2021)
  • Best Paper Presentation Award at the International Conference on Functional Materials, Energy, Environment, and Biomedical Applications (2022)
  • Best UG Project Award (2022) and other recognitions for mentoring top student projects
  • Best Technical Project Award from the Government of Karnataka for “Development of Nano-catechin for enhanced Bioavailability” (2014)
  • Publons Academy Graduate (2021), first from the institute

Conclusion🌟

Dr. Monika P is a dynamic academician and researcher with a passion for advancing biotechnology research, particularly in the realm of nanobiotechnology and chronic wound healing. Her strong academic background, extensive research experience, and dedication to student mentorship make her a significant contributor to the field of biotechnology. She has consistently earned recognition for her work and continues to foster innovation in her research and teaching. Through various collaborations and funded research projects, Dr. Monika P is paving the way for advancements in wound healing therapies and sustainable healthcare solutions.

Publications 📚

1. 📝 Monika, Prakash, Anushka Poola, Prithvi Prabhu, Samrat K.
“Key insights into recent advances and challenges in COVID‑19 Management”
Discover Public Health (2025) 22: 15.

2. 🧪 P. Monika, M. N. Chandraprabha, R. Hari Krishna, Vittal Maanya, C. Likhitha, N. Pooja.
“Development of targeted nanocapsules using pomegranate peel extract with enhanced bioavailability and anti-inflammatory activity for ulcerative colitis: In vitro studies”
Hybrid Advances, 2024.

3. 🔬 Prakash Monika, Hari Krishna Rajan, Chandraprabha MN, Sakshi Shetty, Tanushka Mukherjee, S. Girish Kumar.
“Recent Developments in Green Synthesis of Hydroxyapatite Nanocomposites: Relevance to Biomedical and Environmental Applications”
Green Chemistry Letters and Reviews, 2024 (IF- 6.6, Q1)

4. 💉 Prakash, M. N. Chandraprabha, Vivek Radhakrishnan, Prathik Somayaji, Leah Sabu.
“Therapeutic potential of silkworm sericin in wound healing applications.”
Wound Repair and Regeneration, 2024 (IF-3.8, Q1, H-index – 133).

5. 🧑‍🔬 Monika Prakash, M.N. Chandraprabha, R. Hari Krishna, Harini Satish, S. Girish Kumar.
“Iron oxide nanoparticles for inflammatory bowel disease: Recent advances in diagnosis and targeted drug therapy.”
Applied Surface Science Advances. 2024, 19: 100540 (IF- 7.8, Q1).

6. 🔩 Gowda, Charishma C.; B., Lavanya; M. N., Chandra Prabha; Krishna, R. Hari; P., Monika.
“Bioceramics in Hip and Knee Implants.”
Journal of Mines, Metals & Fuels. 2023, 71 (3): 400-407. (Q4)

7. 🌿 Monika, Prakash, M. N. Chandraprabha, and K. N. Murthy.
“Catechin, epicatechin, curcumin, garlic, pomegranate peel and neem extracts of Indian origin showed enhanced anti-inflammatory potential in human primary acute and chronic wound derived fibroblasts by decreasing TGF-β and TNF-α expression.”
BMC Complementary Medicine and Therapies 23, no. 1 (2023): 1-16. (IF- 3.78, Q1)

8. 🧬 Monika, Prakash, M. N. Chandraprabha, KN Chidambara Murthy, P. Veena Waiker, and Annapoorni Rangarajan.
“Standardized ready-to-use laboratory protocol to isolate primary human wound associated fibroblasts from infected wound samples for clinical applications.”
Journal of Microbiological Methods (2023): 106712. (IF- 2.5, Q3)

9. 🧫 Monika, Prakash, M. N. Chandraprabha, and KN Chidambara Murthy.
“Gene expression studies in primary human acute and chronic wound fibroblasts treated with most popular wound healing phytoextracts.”
South African Journal of Botany 155 (2023): 205-213. (IF- 3.11, Q2).

10. 🔬 Krishna, R. Hari, M. N. Chandraprabha, Prakash Monika, Vishal Chaudhary, and C. Manjunatha.
“Biomolecule conjugated inorganic nanoparticles for biomedical applications: A review.”
Biotechnology and Genetic Engineering Reviews (2022): 1-42. (IF- 4.5, Q1).

 

MATTEO BERGOGLIO | Sustainable Materials | Young Scientist Award

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Mr. MATTEO BERGOGLIO | Sustainable Materials | Young Scientist Award

PhD student at Politecnico di Torino, Italy

Matteo Bergoglio is a Ph.D. researcher in Material Science at Politecnico di Torino, specializing in polymer synthesis, bioactive glass-reinforced composites, and 3D printing for biomedical applications. His research focuses on developing sustainable, reprocessable thermosets (vitrimers) and enhancing biocompatibility in polymeric materials. He has collaborated with international institutions, including KTH Royal Institute of Technology (Sweden) and Luxinergy GmbH (Austria), and has mentored master’s students. His work has been featured in leading journals, including a cover publication in Polymers, showcasing his contributions to innovative material development.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Material Science (Ongoing) – Politecnico di Torino, Italy
    • Research focus: Synthesis, characterization, and 3D printing of polymeric composite materials reinforced with bioactive glasses.
    • Investigation of reprocessable bio-based thermosets (vitrimers).
  • Master’s Degree in Materials Engineering (2017–2022) – Politecnico di Torino, Italy
    • Exchange program: KTH Royal Institute of Technology, Sweden (11/2021 – 06/2022)
    • Thesis: “Vanillin bio-based reprocessable polymers”
    • Specialization: Science and technology of ceramics, polymers, biomaterials, and polymers for specialized applications.
  • Professional Qualification:
    • (January 2023) Qualifying Examination for Professional Activity in Materials Engineering, Politecnico di Torino, Italy

Professional Experience 💼

  • Ph.D. Researcher (2022 – Present) – Politecnico di Torino, Italy
    • Research in polymer synthesis, composite materials, and 3D printing with bioactive glasses.
    • Study of biocompatibility and mechanical properties of polymer composites.
    • Exploration of bio-based vitrimers with reprocessable properties.
    • Mentor for master’s students.
  • Exchange Researcher (09/2023 – 12/2023) – Luxinergy GmbH, Austria
    • Collaborative research in polymer materials and 3D printing.
  • Fellow Researcher (09/2022 – 11/2022) – Politecnico di Torino, Italy
    • Designed and characterized bioactive glasses with antibacterial properties.
    • Synthesized and analyzed bio-based reprocessable thermosets.

Research Interests 🔬

  • Polymeric Composite Materials: Synthesis and 3D printing of bioactive glass-reinforced polymers.
  • Bio-Based Polymers: Design and development of sustainable polymer materials.
  • Reprocessable Thermosets (Vitrimers): Investigation of recyclable and sustainable thermoset materials.
  • Surface Modification of Bioactive Glasses: Enhancing biocompatibility and mechanical properties.
  • 3D Printing in Biomedical Applications: Development of polymer scaffolds for tissue engineering.

Awards and Honors🏆✨

  • Featured Cover Publication (2023) – Polymers, Issue 20, Volume 15
    • Title: “UV-Cured Bio-Based Acrylated Soybean Oil Scaffold with Bioactive Glasses”
  • Mentorship: Successfully guided four master’s students in Materials and Biomedical Engineering.
  • International Collaborations:
    • Università del Piemonte Orientale, Italy
    • Polymer Competence Center Leoben GmbH, Austria
    • Luxinergy GmbH, Austria
    • KTH Royal Institute of Technology, Sweden

Conclusion🌟

Matteo Bergoglio is an emerging researcher in materials science with expertise in polymer chemistry, composite materials, and 3D printing technologies. His work focuses on developing sustainable, reprocessable polymers and bioactive glass-reinforced materials for biomedical applications. He has actively collaborated with international institutions, mentored graduate students, and received recognition for his impactful research, including a cover feature in Polymers. His ongoing research contributes significantly to the advancement of eco-friendly and high-performance polymer materials.

Publications 📚

📄 Journal Article
🔬 Silanized and Cu-doped bioactive glass as filler for biobased photocurable 3D printed scaffolds
📚 Materials Today Chemistry | 📅 2025-03
🔗 DOI: 10.1016/j.mtchem.2025.102559
✍️ Contributors: Matteo Bergoglio, Ziba Najmi, Andrea Cochis, Marta Miola, Enrica Vernè, Marco Sangermano
📖 Source: Crossref

📄 Journal Article
🖨️ 3D-Printed Acrylated Soybean Oil Scaffolds with Vitrimeric Properties Reinforced by Tellurium-Doped Bioactive Glass
📚 Polymers | 📅 2024-12-23
🔗 DOI: 10.3390/polym16243614
✍️ Contributors: Matteo Bergoglio, Matthias Kriehuber, Bernhard Sölle, Elisabeth Rossegger, Sandra Schlögl, Ziba Najmi, Andrea Cochis, Federica Ferla, Marta Miola, Enrica Vernè et al.
📖 Source: Crossref

📄 Journal Article
☀️ UV-Cured Bio-Based Acrylated Soybean Oil Scaffold Reinforced with Bioactive Glasses
📚 Polymers | 📅 2023-10-14
🔗 DOI: 10.3390/polym15204089
✍️ Contributors: Matteo Bergoglio, Ziba Najmi, Andrea Cochis, Marta Miola, Enrica Vernè, Marco Sangermano
📖 Source: Crossref

 

 

 

Taşkın Deniz Yıldız | Mining Engineering | Best Researcher Award

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Assoc. Prof. Dr. Taşkın Deniz Yıldız | Mining Engineering | Best Researcher Award

Academician at Adana Alparslan Türkeş Science and Technology University, Turkey

Assoc. Prof. Dr. Taşkın Deniz Yıldız is a distinguished mining engineer and academic at Adana Alparslan Türkeş Science and Technology University. With a Ph.D. in Mining Engineering from Istanbul Technical University, his expertise spans mining policy, resource economics, environmental sustainability, and occupational safety. He has published extensively in high-impact journals, focusing on mining legislation, waste management, and critical raw materials. As an editorial board member and reviewer for leading journals, he actively contributes to the field’s advancement. Recognized with multiple national and international awards, including TÜBİTAK Academic Incentive Awards and Best Researcher Awards, Dr. Yıldız continues to shape the future of sustainable mining and resource management.

Publication Profile 

Scopus

Orcid

Google scholar

Educational Background 🎓

  • Ph.D. – Mining Engineering, Istanbul Technical University (2012-2020)
    • GPA: 3.69/4
  • M.Sc. – Mining Engineering, Istanbul Technical University (2009-2012)
    • GPA: 3.50/4
  • B.Sc. – Mining Engineering, Istanbul University (2005-2009)
    • GPA: 3.02/4 (Third in the department)
  • B.Sc. – Law, Istanbul Beykent University (2014-2016, 50% Scholarship)
    • GPA: 3.39/4 (Honor Certificate)
  • Associate Degree – Law, Anatolia University (2012-2014)
  • High School – Haydarpaşa Anatolia High School (1998-2002)

Professional Experience 💼

  • Associate Professor (2023-Present) – Adana Alparslan Türkeş Science and Technology University, Department of Mining Engineering
  • Research Assistant (2020-2023) – Adana Alparslan Türkeş Science and Technology University, Department of Mining Engineering
  • Research Assistant (2014-2018) – Istanbul Technical University, Department of Mining Engineering
  • Research Assistant (2014-2018) – Adana Alparslan Türkeş Science and Technology University, Department of Mining Engineering

Research Interests 🔬

  • Mining Policy & Economics:
    • Mining legislation, resource economics, taxation in mining
    • Cost-benefit analysis, investment conflicts in mining and energy sectors
  • Sustainable Mining & Land Use:
    • Mining waste management, land acquisition, rehabilitation costs
    • Urban and industrial heritage in mining areas
  • Environmental & Occupational Safety:
    • Health and safety regulations, mine supervision
  • Circular Economy & Critical Raw Materials:
    • Recovery of rare earth elements from mining waste
    • Sustainable use of minerals in agriculture

Awards and Honors🏆✨

International Awards

  • International Environmental Scientists Award (2025) – ScienceFather
  • International Research Hypothesis Excellence Award (2025) – ScienceFather
  • Best Researcher Award (2024) – ScienceFather
  • Outstanding Scientist Award (2023) – ScienceFather
  • Best Researcher Award (2022) – ScienceFather
  • Best Research Award (2021) – SHEN Science Awards

National & Institutional Awards

  • TÜBİTAK Academic Incentive Awards (2020-2024)
    • 2024: 25,000 TL
    • 2023: 15,000 TL
    • 2022: 10,000 TL
    • 2021: 5,000 TL
    • 2020: 5,000 TL
  • University Award for Number of Published Articles in WOS Category (2022)
    • Ranked 3rd at Adana Alparslan Türkeş Science and Technology University (2019-2022)

Conclusion🌟

Assoc. Prof. Dr. Taşkın Deniz Yıldız is a leading expert in mining engineering with a strong background in both technical and legal aspects of the field. His interdisciplinary research spans mining policy, sustainability, economic evaluation, and environmental management. He has made significant contributions through high-impact publications, editorial roles, and international collaborations. Recognized with multiple national and international awards, Dr. Yıldız continues to drive innovation in mining engineering, sustainable resource management, and the integration of mining and environmental policies.

Publications 📚

🔹 Sustainable contributions of the use of phosphorus, potassium, coal and natural stone mine wastes in soil improvement and agriculture – A review
📖 Resources Policy | 📅 2025-03 | 🔗 DOI: 10.1016/j.resourpol.2025.105506
👥 Contributors: Taşkın Deniz Yıldız

🔹 Challenges and Recovery Opportunities in Waste Management During the Mining and Enrichment Processes of Rare Earth Elements Containing Ores
📖 Trash Or Treasure | 📅 2024 | 🔗 DOI: 10.1007/978-3-031-55131-4_11
👥 Contributors: Taşkın Deniz Yıldız, Tuğba Deniz Tombal-Kara, İlgin Kurşun-Ünver

🔹 Opportunities for the Recovery of Rare Earth Elements from Mining Tailings and Urban Mining
📖 Trash Or Treasure | 📅 2024 | 🔗 DOI: 10.1007/978-3-031-55131-4_7
👥 Contributors: Taşkın Deniz Yıldız

🔹 Considering the development levels of countries, contributions of mineral recovery from mining tailings and urban mining wastes to sustainability criteria – A review
📖 Resources Policy | 📅 2024-12 | 🔗 DOI: 10.1016/j.resourpol.2024.105399
👥 Contributors: Taşkın Deniz Yıldız

🔹 Effects of EU-Compliant mining waste regulation on Turkish mining sector: A review of characterization, classification, storage, management, recovery of mineral wastes
📖 Resources Policy | 📅 2024-03 | 🔗 DOI: 10.1016/j.resourpol.2024.104836
👥 Contributors: Taşkın Deniz Yıldız, Mehmet Oğuz Güner, Orhan Kural

🔹 Wyzwania i możliwości odzysku w gospodarce odpadami podczas procesów wydobycia i wzbogacania rud zawierających uran i tor – przegląd
📖 Gospodarka Surowcami Mineralnymi – Mineral Resources Management | 📅 2024-03-28 | 🔗 DOI: 10.24425/gsm.2024.149305
👥 Contributors: Taşkın Deniz Yıldız, Tuğba Deniz Tombal-Kara

🔹 Geological, petrographical, mineralogical, geochemical and gemological features of Malatya rubies
📖 Gospodarka Surowcami Mineralnymi – Mineral Resources Management | 📅 2023 | 🔗 DOI: 10.24425/GSM.2023.148162
👥 Contributors: Taşkın Deniz Yıldız, Nihal Derin Coskun, Veli Uz, Ali IssI, Bektas Uz

📖 Books & Book Chapters
📗 Developing Industrial and Mining Heritage Sites
📅 2023-12-13 | 🔗 DOI: 10.4324/9781003408437
👥 Contributors: Taşkın Deniz Yıldız

📘 History of Lavrion & Mining
📅 2023-12-13 | 🔗 DOI: 10.4324/9781003408437-3
👥 Contributors: Taşkın Deniz Yıldız

📙 Conclusion and Suggestions
📅 2023-12-13 | 🔗 DOI: 10.4324/9781003408437-6
👥 Contributors: Taşkın Deniz Yıldız

 

 

 

Tianjun Sun | Big Data Analytics | Best Researcher Award

Published on by Innovation Technologist

Assoc. Prof. Dr. Tianjun Sun | Big Data Analytics | Best Researcher Award

College of automotive Engineering at Jilin University, China

Professor Sun Tiejun is a distinguished researcher specializing in vehicle engineering, artificial intelligence, and automotive control systems. He is affiliated with Jilin University and has contributed significantly to the field of autonomous vehicle control, intelligent decision-making, and hybrid electric vehicle optimization.

Publication Profile 

Scopus

Educational Background 🎓

  • Harbin University of Science and Technology
    • Bachelor’s Degree in Electronic Information Science and Technology
    • Bachelor’s Degree in Control Engineering
  • Jilin University
    • Doctorate in Vehicle Engineering
  • Postdoctoral Research:
    • College of Automotive Engineering, Jilin University

Professional Experience 💼

  • State Key Laboratory of Automotive Simulation and Control, Jilin University
  • National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University
  • Equipment Industry Development Center, Ministry of Industry and Information Technology
  • Senior Member, SAE (Society of Automotive Engineers)
  • High-level D Talents of Jilin Province

Research Interests 🔬

  • Autonomous Vehicle Control
    • Human-like mechanism deep learning models for motion control
    • Brain-inspired decision-making for intelligent car-following
  • Artificial Intelligence in Automotive Engineering
    • Application of AI in vehicle motion prediction and decision-making
  • Hybrid Electric Vehicle Optimization
    • Data-driven control strategies for plug-in hybrid vehicles
  • Bionic Engineering & Robotics
    • Integration of basal ganglia-inspired neural networks into vehicle control

Awards and Honors🏆✨

  • SAE Senior Member – Recognized for contributions to the automotive engineering community.
  • High-level D Talent of Jilin Province – Acknowledged for outstanding expertise in automotive technology.
  • Key Researcher at National Laboratories – Integral to advancements in automotive simulation and chassis integration.

Conclusion🌟

Professor Sun Tiejun is a leading expert in vehicle engineering, particularly in AI-driven decision-making and motion control for autonomous and hybrid vehicles. His interdisciplinary research blends artificial intelligence, control engineering, and bionic mechanisms to enhance the efficiency and safety of next-generation transportation systems. His work has been recognized in prestigious journals, and he continues to make significant contributions to automotive engineering.

Publications 📚

📄 Article
🚗 Trajectory Tracking Control Method for Autonomous Vehicles Considering Time-Varying Reference and Steering Delay
👨‍🔬 Authors: Z. Yang, Zhengcai; H. Zhang, Huiquan; L. Ge, Linhe; T. Sun, Tianjun
📖 Journal: Qiche Gongcheng/Automotive Engineering, 2025
🔢 Citations: 0

📄 Article
🤖 Human-like Mechanism Deep Learning Model for Longitudinal Motion Control of Autonomous Vehicles
👨‍🔬 Authors: Z. Gao, Zhenhai; T. Yu, Tong; F. Gao, Fei; R. Zhao, Rui; T. Sun, Tianjun
📖 Journal: Engineering Applications of Artificial Intelligence, 2024
🔢 Citations: 2

 

 

 

Erik De Kuyffer | Planning Optimization | Best Researcher Award

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Mr. Erik De Kuyffer | Planning Optimization | Best Researcher Award

PhD Student at University of Ghent, Belgium

Erik De Kuyffer is a seasoned project and program manager with extensive experience in IT, logistics, customer service, and business development. His expertise lies in optimization, innovation, and people management, making him a valuable asset in various industries. He has led teams, managed complex projects, and developed new services across multiple organizations.

Publication Profile 

Scopus

Orcid 

Educational Background 🎓

  • Ongoing: Ph.D. in Artificial Intelligence, Ghent University (UGent)
  • 2011: Postgraduate TIM, HoGent
  • 2008: ManaMa Avionica & Spacionica, KHBO
  • 1997: Industrial Engineer Chemistry, KAHO Sint-Lieven
  • 1990: ASO Latin-Mathematics, Sint-Michielscollege Brasschaat

Professional Experience 💼

Current Position:

  • INDEFF (2023 – Present) – Freelance Managed Services Lead
    • Leads project and program management initiatives.
    • Manages IT and OT teams.
    • Develops and markets new services.

Previous Roles:

  • Qurtinz (2021 – 2023) – Freelance Project Manager
    • Oversaw daily operations, customer service, and IT management.
    • Managed administrative and installation teams.
  • INDEFF (2018 – 2021) – PM/Regional Director
    • Handled project/program management, business development, and support teams.
  • Vandapower (2017) – Operations Director
    • Managed production, logistics, and quality control.
    • Supervised operational teams.
  • Barco N.V. (2015 – 2017) – Customer Service Manager
    • Improved customer service flows and developed new services.
    • Led a team of engineers.
  • Generix Group (2012 – 2015) – PM/Customer Service Manager
    • Managed software projects, presales, and customer service.
  • Net Solutions/Eozen (2006 – 2012) – Project Manager
    • Led software and IT projects, technical analysis, and presales activities.
  • Influe Benelux NV (1999 – 2006) – Technical Manager EDI/VMI
    • Managed technical implementations, parameter settings, and project coordination.
  • GHD Katoennatie Gent (1998 – 1999) – Logistic Warehouse Manager
    • Oversaw daily warehouse operations for Volkswagen.
  • Procter & Gamble (1997 – 1998) – Research Associate
    • Conducted market research for detergent product launches.

Research Interests 🔬

  • Artificial Intelligence (AI)
  • Project Management Optimization
  • IT and Digital Transformation
  • Automation and Process Optimization
  • Logistics and Supply Chain Management

Awards and Honors🏆✨

  • Prince2 Certificate (Project Management)
  • Recognized expertise in project/program management across multiple industries.

Conclusion🌟

Erik De Kuyffer is a highly experienced professional with a strong background in project and program management, IT, logistics, and artificial intelligence. His diverse career spans leadership roles across industries, showcasing expertise in business development, innovation, and optimization. Currently pursuing a Ph.D. in AI at Ghent University, he continues to explore cutting-edge technologies and their applications in various domains.

Publications 📚

📌 Travel route and formation optimization for flocks of drones in package delivery by using an ACO based V-Shape algorithm
📅 2024-12 | 📚 Results in Engineering
🔗 DOI: 10.1016/j.rineng.2024.103627
✍️ Contributors: E. De Kuyffer, W. Joseph, L. Martens, T. De Pessemier

📌 Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation
📅 2023 | 📚 Operations Research Perspectives
🔗 DOI: 10.1016/j.orp.2023.100267
✍️ Contributors: E. De Kuyffer, K. Shen, L. Martens, W. Joseph, T. De Pessemier

 

 

 

Ke Qi | Imaging Technology | Best Researcher Award

Published on by Innovation Technologist

Ms. Ke Qi | Imaging Technology | Best Researcher Award

Postgraduate student at First Affiliated Hospital of Zhengzhou University, China

Ke Qi is a graduate student at Zhengzhou University and a researcher at the Affiliated Hospital of Zhengzhou University, specializing in medical imaging, CT angiography, and deep learning applications in radiology. With multiple academic honors, including the Zhengzhou University Outstanding Student Scholarship, Ke Qi has published extensively on optimizing contrast enhancement, radiation dose reduction, and AI-driven image quality improvements. Their research focuses on personalized imaging techniques to enhance diagnostic accuracy while minimizing risks, contributing to advancements in radiology and medical AI applications.

Publication Profile 

Scopus

Educational Background 🎓

  • Undergraduate Studies:
    • Zhengzhou University
    • Received multiple scholarships and merit-based awards
  • Postgraduate Studies:
    • 2023-2024: Graduate Student at Zhengzhou University
    • Awarded the Zhengzhou University Outstanding Student Scholarship First Prize

Professional Experience 💼

  • Affiliation: Affiliated Hospital of Zhengzhou University
  • Specialization: Medical Imaging, Radiology, and Deep Learning in CT Angiography
  • Research Contributions: Published multiple articles in high-impact journals on CT imaging, radiation reduction, and AI-based image enhancement

Research Interests 🔬

  • Medical Imaging & Radiology
  • CT Angiography (CTA) and Contrast Optimization
  • Deep Learning in Medical Imaging
  • Radiation Dose Reduction Techniques
  • Personalized Post-Trigger Delay in Imaging

Awards and Honors🏆✨

  • Undergraduate Level:
    • Multiple scholarships from Zhengzhou University (2019-2023), including:
      • Outstanding Student Scholarship (First & Second Prizes)
      • Three Merit Student Recognition
      • New Oriental Education Scholarship
  • Postgraduate Level:
    • Outstanding Student Scholarship First Prize (2023-2024)

Key Research Contributions 

  1. Ultra-low Radiation & Contrast Medium Dosage in Aortic CTA
    • Journal: Academic Radiology (2024)
    • Focus: Deep Learning reconstruction to enhance image quality with minimal radiation
  2. Optimized Contrast Enhancement in Aortic CT Angiography
    • Journal: Quant Imaging Med Surg (2025)
    • Focus: Personalized bolus tracking for improved contrast homogeneity
  3. Patient-Specific Delay in Coronary CT Angiography
    • Journal: European Journal of Radiology (2023)
    • Focus: Comparison of individualized post-trigger delay with standard protocols
  4. Individualized Post-Trigger Delay in Head & Neck CT Angiography
    • Journal: European Journal of Radiology (2023)
    • Focus: Enhancing image quality through optimized scan timing
  5. Low Flow Rate Abdominal Contrast-Enhanced CT for Chemotherapy Patients
    • Journal: Journal of Computer-Assisted Tomography (2024)
    • Focus: Using dual-source CT for low-dose, high-quality imaging

Conclusion🌟

Ke Qi is an emerging researcher in medical imaging, specializing in CT angiography and AI-driven image enhancement. With a strong academic background and numerous awards, their research significantly contributes to improving imaging quality while reducing radiation exposure. Their work, published in leading radiology journals, highlights innovation in personalized imaging techniques, making them a promising name in the field of radiology and medical AI applications.

Publications 📚

📄 Article • Open access
Optimized contrast enhancement and homogeneity in aortic CT angiography: Bolus tracking with personalized post-trigger delay
🖊️ Qi, K., Li, L., Yuan, D., … Gao, J., Liu, J.
📚 Quantitative Imaging in Medicine and Surgery, 2025, 15(1), pp. 709–720
🔗 Show abstract (Disabled) | Related documents (Disabled)
🔢 0 Citations

📄 Article
Feasibility Analysis of Individualized Low Flow Rate Abdominal Contrast-Enhanced Computed Tomography in Chemotherapy Patients: Dual-Source Computed Tomography With Low Tube Voltage
🖊️ Zhang, Y., Yuan, D., Qi, K., … Gao, J., Liu, J.
📚 Journal of Computer Assisted Tomography, 2024, 48(6), pp. 844–852
🔗 Show abstract (Disabled)
🔢 1 Citation

📄 Article • In Press
Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment
🖊️ Qi, K., Xu, C., Yuan, D., … Gao, J., Liu, J.
📚 Academic Radiology, 2024
🔗 Show abstract (Disabled) | Related documents (Disabled)
🔢 0 Citations

📄 Article
Image quality improvement in head and neck CT angiography: Individualized post-trigger delay versus fixed delay
🖊️ Yuan, D., Li, L., Zhang, Y., … Gao, J., Liu, J.
📚 European Journal of Radiology, 2023, 168, 111142
🔗 Show abstract (Disabled) | Related documents (Disabled)
🔢 4 Citations

 

 

 

XT (XiaoTian) Wang | Psychology | Best Researcher Award

Published on by Innovation Technologist

Prof. XT (XiaoTian) Wang | Psychology | Best Researcher Award

Professor at the Chinese University of Hong Kong (Shenzhen), China

Professor XT Wang is a distinguished academic leader, serving as the founding director of the Applied Psychology program at the Chinese University of Hong Kong (Shenzhen). His research bridges several fields, including behavioral decision-making, risk perception, and evolutionary psychology. Known for his work on reference point-dependent decision models and evolutionary rationality, Professor Wang has contributed extensively to academic literature, with more than 30 publications in peer-reviewed journals. His pioneering theory on trireference points in decision-making has garnered significant attention. Professor Wang has also worked internationally, with affiliations at prestigious institutions like Peking University and the Max Planck Institute, and has held leadership roles in various professional organizations.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D., Cognitive Psychology, New Mexico State University, USA (July 1993)
  • M.A., Physiological Psychology, New Mexico State University, USA (January 1990)
  • M.S., Pathology and Physiology, Medical School, Jinan University, China (January 1985)
  • B.S., Experimental Medicine, Beijing University of Medical Sciences, China (January 1982)

Professional Experience 💼

  • Professor & Inaugural Director (2018–Present), Applied Psychology Program, Chinese University of Hong Kong (Shenzhen)
  • Emeritus Professor (2003–2018), University of South Dakota, USA
  • Adjunct/Visiting Professor at various institutions, including China Europe International Business School (2010–2016), Peking University (2004–2014), and Max Planck Institute, Germany (1998–1999, 2004)
  • Lecturer & Research Co-Director (1985–1987), Jinan University, China

Research Interests 🔬

Professor Wang’s research focuses on:

  • Behavioral decision-making across social, economic, organizational, and cultural contexts
  • Risk perception, management, and evolutionary psychology
  • Reference point-dependent decision models, framing effects, and cue usage in risky choices
  • Intertemporal choice, delay discounting, and social discounting
  • Cognitive and embodied mechanisms of decision-making
  • AI vs. human rationalities

He employs a wide range of methodologies, including experiments, surveys, meta-analysis, neuroimaging, and field studies.

Awards and Honors🏆✨

  • Presidential Exemplary Teaching Award (CUHKSZ, 2022)
  • Acta Psychologica Best Editor Award (2019)
  • Sonica Chinese Academy of Sciences K.C. Wong Research Award (2010)
  • Marquis Who’s Who in America (various editions, including 2003-2008, 2014-2017)
  • High-level Foreign Expert endorsement by the People’s Government of Shenzhen Municipality
  • Shenzhen “Peng-Cheng Peacock Plan” A-Class Distinguished Expert (2021-2024)

Conclusion🌟

Professor XT Wang is a leading figure in applied psychology, contributing significantly to the understanding of decision-making processes, risk management, and evolutionary psychology. With a strong academic background and leadership in both teaching and research, he has helped shape the psychology programs at CUHK (Shenzhen) while continuing to influence global academic discourse through his extensive research and collaborations.

Publications 📚

  • 📚 Article
    Title: How mortality awareness regulates intertemporal choice: A joint effect of endpoint reminder and retrospective episodic thinking
    Authors: Wang, P., Wang, X.X.
    Journal: Consciousness and Cognition (2024), 126, 103787
    Citations: 0
    Access: Open Access

  • 🧠 Article
    Title: Biracial Faces Offer Visual Cues of Successful Intergroup Contact: Genetic Admixture and Coalition Detection
    Authors: Wang, X.T., Miller, G.
    Journal: Evolutionary Psychology (2024), 22(1)
    Citations: 0
    Access: Open Access

  • 🎶 Article
    Title: Imprinting-like effects of early adolescent music
    Authors: Fu, J., Tan, L.K.L., Li, N.P., Wang, X.T.
    Journal: Psychology of Music (2024), 52(1), pp. 38–58
    Citations: 1
    Access: Open Access

  • ⏳ Article
    Title: Age Effects on Delay Discounting Across the Lifespan: A Meta-Analytical Approach to Theory Comparison and Model Development
    Authors: Lu, J., Yao, J., Zhou, Z., Wang, X.T.
    Journal: Psychological Bulletin (2023), 149(7-8), pp. 447–486
    Citations: 8

  • 😷 Article
    Title: Episodic future thinking and anticipatory emotions: Effects on delay discounting and preventive behaviors during COVID-19
    Authors: Wang, X.T., Wang, P., Lu, J., Li, G., Garelik, S.
    Journal: Applied Psychology: Health and Well-Being (2022), 14(3), pp. 842–861
    Citations: 14
    Access: Open Access