Alberto Montaner Cuello | Physiotherapy | Best Researcher Award

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Assist. Prof. Dr. Alberto Montaner Cuello | Physiotherapy | Best Researcher Award

Assitant professor at Universidad Zaragoza, Spain

Alberto Montaner-Cuello is a physiotherapist and clinical researcher affiliated with the University of Zaragoza. Currently completing his degree in Physiotherapy (2020–2026), he combines academic teaching with active research in therapeutic exercise, neurodynamics, and cardiopulmonary rehabilitation. A member of the PhysiUZerapy Research Group, he has contributed to national and regional projects and published in high-impact journals like Journal of Hand Therapy and Diagnostics. His work emphasizes evidence-based interventions for chronic disease recovery, peripheral nerve assessment, and post-cancer rehabilitation.

Publication Profile 

Scopus

Orcid

Educational Background 

  • University Degree: Graduate in Physiotherapy

    • Institution: University of Zaragoza

    • Start Date: September 14, 2020

    • Completion Date: August 31, 2026 (expected)

    • Final Degree Project Defense: April 6, 2025

    • Final Grade: Notable

Professional Experience 

  • Academic Teaching Activity:

    • Courses taught or involved in:

      • Physiotherapy in Pulmonology and Cardiology

      • Physiotherapy in Clinical Specialties III

      • Physiotherapy Methods in Musculoskeletal Processes

    • Academic Training Provided: Co-supervised multiple Final Degree Projects (TFGs) in physiotherapy focused on respiratory, cardiovascular, neurological, and musculoskeletal interventions.

  • Supervision of Final Degree Projects:

    • Supervised or co-supervised over 20 case-based projects, including:

      • Physiotherapy for COPD, hypertension, thromboembolism, cystic fibrosis, post-infarction recovery, cancer recovery, and multiple sclerosis.

      • Notable case: “Physiotherapy intervention plan for pulmonary thromboembolism based on exercise.”

 Scientific and Technological Experience

  • Research Groups:

    • Member of B52_23R: PhysiUZerapy – Health Sciences Research Group, University of Zaragoza

    • Research funded by: Government of Aragón and Spanish Foundation for Science and Technology

  • Projects:

    • “SIGHS OF EVIDENCE” (FCT-24-21532), National Project (2025–2026)

    • “THERAPEUTIC EXERCISE COURSE”, regional outreach training project

Research Interests 

  • Primary Areas:

    • Neurodynamics and peripheral nerve mechanics

    • Respiratory and cardiovascular physiotherapy

    • Therapeutic exercise in chronic disease recovery

    • Diagnostic accuracy of physical tests (e.g., shear wave elastography, neurodynamic testing)

    • Post-cancer physiotherapy interventions

 Languages

  • English Proficiency: B1 (CEFR)

    • Skills: Oral expression, oral interaction, written comprehension, auditory comprehension

Awards and Honors 

  • Grades in Final Degree Projects:

    • Multiple projects received Outstanding (Sobresaliente) or Excellent (Excelente) marks.

  • Highly Regarded Scientific Output:

    • Publications in journals with top quartile rankings in rehabilitation and physiotherapy.

Conclusion 

Alberto Montaner-Cuello exemplifies an emerging clinical researcher and educator in physiotherapy, with a sharp focus on evidence-based interventions and diagnostic innovation. His academic track record at the University of Zaragoza includes significant teaching, research, and publication output, particularly in the domain of therapeutic exercise and neurodynamics. With a multidisciplinary approach and involvement in competitive scientific projects, he represents a promising contributor to the advancement of health sciences in both research and clinical education.

Publications 

  1. Montaner-Cuello, A., Ruíz-Maqueda, I., Pardos-Aguilella, P., Ciuffreda, G., Albarova-Corral, I., & Bueno-Gracia, E. (2025).
    Study of the normal response to the upper limb neurodynamic test 2b and 1 in asymptomatic violin and viola players.
    Journal of Hand Therapy.
    https://doi.org/10.1016/j.jht.2025.05.010

  2. Montaner-Cuello, A., Caudevilla-Polo, S., Rodríguez-Mena, D., Ciuffreda, G., Pardos-Aguilella, P., Albarova-Corral, I., Pérez-Rey, J., & Bueno-Gracia, E. (2024).
    Comparison of magnetic resonance imaging with electrodiagnosis in the evaluation of clinical suspicion of lumbosacral radiculopathy.
    Diagnostics, 14(12), 1258.
    https://doi.org/10.3390/diagnostics14121258

  3. Montaner-Cuello, A., Bueno-Gracia, E., Bueno-Aranzabal, M., Borrella-Andrés, S., & López-De-Celis, C. (2020).
    Normal response to sural neurodynamic test in asymptomatic participants: A cross-sectional study.
    Musculoskeletal Science and Practice, 50, 102258.
    https://doi.org/10.1016/j.msksp.2020.102258

  4. Bueno-Gracia, E., Malo-Urriés, M., Montaner-Cuello, A., Borrella-Andrés, S., & López-De-Celis, C. (2021).
    Normal response to neurodynamic test of the peroneal nerve: A cross-sectional study.
    Rehabilitation, 34(2), 243–249.
    https://doi.org/10.1016/j.rehab.2021.02.005

  5. Ciuffreda, G., Bueno-Gracia, E., Albarova-Corral, I., Montaner-Cuello, A., & Pérez-Rey, J. (2024).
    Impact of Neurodynamic Sequencing on the Mechanical Behavior of the Median Nerve and Brachial Plexus: An Ultrasound Shear Wave Elastography Study.

  6. Bueno-Gracia, E., Fanlo-Mazas, P., Malo-Urriés, M., Rodríguez-Mena, D., & Montaner-Cuello, A. (2023).
    Mediating nerve stiffness with three movement sequences: Diagnostic accuracy in carpal tunnel syndrome.
    Healthcare (Switzerland), 11(24), 3138.
    https://doi.org/10.3390/healthcare11243138

  7. Ciuffreda, G., Stephen-De-Michael, E., Albarova-Fence, E., Malo-Urriés, M., Shacklock, M., Montaner-Cuello, A., & Bueno-Gracia, E. (2023).
    Nerve mechanical properties assessed with shear-wave elastography: A systematic review and meta-analysis.
    Musculoskeletal Science and Practice, 69, 102897.
    https://doi.org/10.1016/j.msksp.2023.102897

 

 

 

 

Nicholas Outa | Aquaculture | Best Researcher Award

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Mr. Nicholas Outa | Aquaculture | Best Researcher Award

PhD student at Maseno University, Kenya

Mr. Nicholas Outa is a Kenyan doctoral candidate in Fisheries and Aquaculture at Maseno University with extensive academic training and hands-on experience in aquatic ecosystems, aquaculture systems, and fisheries management. He has made significant contributions to smallholder aquaculture development in Kenya through teaching, research, mentorship, and consultancy. His professional ethos is grounded in conceptual thinking, effective communication, results orientation, integrity, and leadership.

Publication Profile 

Orcid

Educational Background 

  • PhD in Fisheries and Aquaculture – Maseno University, Kenya (2021 – Present)
    Research Focus: Nutrient Film Technology (NFT) aquaponic systems for enhancing nutrient and water-use efficiency.

  • MSc. in Limnology and Wetland Management – UNESCO-IHE Delft, BOKU Vienna & Egerton University (2012 – 2014)
    Thesis: Biological aspects of Nile Tilapia in Lake Naivasha, Kenya.

  • BSc. in Applied Aquatic Science – Egerton University, Nakuru (2006 – 2010)
    Graduated with: Second-Class Honors Upper Division.

  • KCSE – Kisumu Boys High School (2001 – 2004) – B+

  • KCPE – Wang’bith Primary School (1993 – 2000) – 534/700 marks

Professional Experience 

  • Part-Time Lecturer, Maseno University (2016 – Present)
    Teaching, mentoring, and coordinating research in Fisheries and Aquaculture.

  • Part-Time Lecturer, Kisii University (2018 – 2020)
    Teaching and research in Fisheries and Aquatic Sciences.

  • Head of Research & Mentorship, Centre for Research and Technology Development (2016 – 2020)
    Proposal development, intern supervision, thematic area coordination.

  • Research Fellow, RESTECH, Kisumu (2014 – 2017)
    Research on fish ecology and aquaculture systems; trained in Japan on live feed and otolith analysis.

  • Research Assistant, VIRED International (2010 – 2012)
    Data collection on water quality, plant diversity, and fish ecology in wetlands.

Research Interests 

  • Sustainable aquaculture and aquaponic systems

  • Lake and wetland ecosystem ecology

  • Fish nutrition and feeding ecology

  • Climate-smart agriculture and aquatic food systems

  • Multitrophic aquaculture systems (FIMTA)

  • Aquaculture value chain and blue economy development

  • Impacts of invasive species in aquatic ecosystems

Awards and Honors 

  • Research Capacity Advisor, TCC-Africa (2019 – Present)
    Trained over 1000 researchers in scientific writing and publishing.

  • Academic Editor, PLOS One (2021 – Present)
    Reviewer and editorial handler for scientific manuscripts.

  • Head of Submissions Moderation, AfricArXiv (2021 – Present)
    Moderated and boosted repository submissions fivefold.

  • Trainer, Open Peer Reviewers in Africa Project (2022 – Present)
    Training early-career researchers on peer review and open science.

  • Mentor, Eider Africa (2021 – Present)
    Mentoring over 200 Master’s and PhD students.

  • Peer Reviewer for various international scientific journals (2017 – Present)

Conclusion 

Mr. Nicholas Outa exemplifies a balanced blend of research, teaching, and community impact in the field of fisheries and aquaculture. His academic foundation, coupled with his leadership in project coordination, capacity building, and scientific publishing, underscores his strong candidacy for awards recognizing research excellence and societal contribution. His ongoing doctoral research, extensive publication record, and involvement in multiple development-oriented projects make him a valuable contributor to sustainable aquaculture and aquatic sciences in Africa.

Publications 

  1. Outa, N., Ogello, E., & K’Otuto, G. (2025, August). Nutrient Film Technique (NFT) Aquaponics Enhances the Productivity of Fish and Crops: Trials on Nile Tilapia, African Catfish, Lettuce, Spinach and Basil. Aquaculture, Fish and Fisheries. https://doi.org/10.1002/aff2.70089

  2. Outa, N., Owango, J., & Mulaku, N. (2025, March 12). Using Open Access Research Solutions to Improve the Academic Lifecycle for the Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.1810c645

  3. Owango, J., Outa, N., Back, O., & Mulaku, N. (2025, February 18). Using Open Access Research Solutions to Improve the Academic Lifecycle for the Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.cd237dfe

  4. Zeni, K., ebenezar, nick, & Outa, N. (2025, February 10). UoN Workshop. TCC Africa. https://doi.org/10.21428/359fb1d2.eb0a2a08

  5. Owango, J., Outa, N., Warren-Jones, E., & Mulaku, N. (2025, January 29). Using Open Access Research Solutions to Improve the Academic Lifecycle for the Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.02b2bb4d

  6. Owango, J., Outa, N., & Back, O. (2025, January 24). Using Open Access Research Solutions to Improve the Academic Lifecycle for the Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.ad8f5f2b

  7. Keyombe, J. L., Obiero, K., Waithaka, E., Outa, N., Donde, O., & Kyule, D. (2024, December 21). Understanding selected growth aspects in Redbelly Tilapia, Coptodon zilli (Gervais) and Largemouth Bass, Micropterus salmoides (Lacepède) in Lake Naivasha, Kenya; Fisheries Management Perspective. Pan Africa Science Journal. https://doi.org/10.47787/pasj.2020.02.21

  8. Ogello, E., Muthoka, M., & Outa, N. (2024, December 5). Exploring Regenerative Aquaculture Initiatives for Climate-Resilient Food Production: Harnessing Synergies Between Technology and Agroecology. Aquaculture Journal. https://doi.org/10.3390/aquacj4040024

  9. Outa, N., Ogello, E., & Wambui, C. (2024, August 11). Exploring the Potential of Aquaponics Systems in Advancing Food Security in Kenya: A Scoping Review. Journal of Food Security, 12(3), Article 3. https://doi.org/10.12691/jfs-12-3-3

  10. Muthoka, M., Ouko, K. O., Mboya, J. B., Ndambuki, M. N., Outa, N., Ogello, E., Obiero, K., Ogola, R. J., Midamba, D. C., & Njogu, L. (2024, June). Socio‐economic impacts of climate change and adaptation actions among smallholder fish farmers in Sub‐Saharan Africa. Aquaculture, Fish and Fisheries. https://doi.org/10.1002/aff2.182

  11. Owango, J., Outa, N., Warren-Jones, E., & De Souza, W. (2024, June 26). Using Open Access AI to Improve the Academic Lifecycle for the Manicaland State University of Applied Sciences Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.c15487a1

  12. Owango, J., Outa, N., De Souza, W., Warren-Jones, E., & Back, O. (2024, June 3). Using Open Access AI to Improve the Academic Lifecycle for the Lesotho Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.d9cef021

  13. Owango, J., De Souza, W., Warren-Jones, E., & Outa, N. (2024, May 13). Using Open Access AI to Improve the Academic Lifecycle for the Zambia Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.0d0d4e63

  14. Owango, J., Outa, N., Warren-Jones, E., & De Souza, W. (2024, May 6). Using Open Access AI to Improve the Academic Lifecycle for the Somalia Academic Community. TCC Africa. https://doi.org/10.21428/359fb1d2.330cb393

  15. Owango, J., De Souza, W., Warren-Jones, E., & Outa, N. (2024, April 18). Using Open Access AI to Improve the Academic Lifecycle for Eduardo Mondlane University Community. TCC Africa. https://doi.org/10.21428/359fb1d2.deef5f0c

 

 

 

 

Dongwen Wu | Immunology | Best Researcher Award

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Assoc. Prof. Dr. Dongwen Wu | Immunology | Best Researcher Award

Associate Professor at Central South University, China

Dr. Dongwen Wu has made impactful contributions in the fields of immunology and gastroenterology, with a total of 30 peer-reviewed publications, including 9 as first or corresponding author. His research has been cited 479 times, earning him an h-index of 12 and an i10-index of 14. His work has appeared in top-tier journals such as Nature Immunology, Science Immunology, and Journal of Experimental Medicine, and has been cited in Nature Reviews Immunology, Science, and Immunity. Dr. Wu’s research focuses on immune cell regulation, mucosal immunity, and the metabolic reprogramming of stromal and immune cells, with applications in inflammation, autoimmunity, and gastrointestinal disorders.

Publication Profile

Google Scholar

Educational Background 

  1. Doctor of Medicine (M.D.)

    • Focus: Clinical Medicine

  2. Doctor of Philosophy (Ph.D.)

    • Institution: Cornell University, Ithaca, NY, USA

    • Field: Likely Immunology or Biomedical Sciences, inferred from research focus and departmental affiliations.

    • Research Focus: Cytokine biology, Th17 cells, mucosal immunity, IL-17 signaling, immune system memory, and fibroblastic reticular cells.

Professional Experience 

  • 2024–2025 – Academic Evaluator, BIOMS 6250, Cornell University

  • 2025–2027 – Appointed Peer Reviewer, International Journal of Gastroenterology (1 of 18 reviewers selected)

  • 2023 – Peer Reviewer, Scientific Reports (PMID: 37635176)

  • 2023 – Peer Reviewer, BMC Cancer (PMID: 37507682)

Dr. Wu has demonstrated leadership and recognition in his field through academic teaching and active peer-review service for internationally recognized journals.

Research Interests 

  • IL-17 signaling and fibroblastic reticular cell (FRC) biology

  • Mucosal immunity and stromal cell–immune cell interactions

  • Metabolic reprogramming in immune and stromal cells

  • Pathogenic Th17 cell function and noncanonical STAT3 activity

  • Dietary impact on immune training and gut inflammation

  • Immunological biomarkers in inflammatory bowel disease (IBD) and cancer

Professional Memberships

  • Member, International Cytokine and Interferon Society (ICIS)

  • Member, American Association of Immunologists (AAI)

  • Member, Youth Scientific Research Club, IBD Committee, Chinese Society of Gastroenterology

Conclusion 

Dr. Dongwen Wu is a distinguished physician-scientist whose multidisciplinary work bridges immunology, gastroenterology, and metabolic research. With high-impact publications and ongoing roles in academic evaluation and peer review, Dr. Wu has established himself as a valuable contributor to the biomedical research community. His insights into stromal–immune interactions and immune training by diet represent novel directions in inflammation and mucosal immunology.

Publications 

  • Wu, D.W., Wang, X., Yang, X., Gu, L., McGeachy, M.J., & Liu, X. (2023).
    Temporary consumption of western diet trains the immune system to reduce future gut inflammation.
    iScience, 26(6), 106915. PMID: 37305694

  • Zhou, J., Cai, T., Wu, D.W., Chen, X., & Wang, F. (2023).
    The role of endoscopic ultrasound-guided fine-needle aspiration/biopsy in the diagnosis of mediastinal lesions.
    Frontiers in Surgery, 9, 1065070. PMID: 36684177

  • Wu, D.W., Poholek, C.H., Majumder, S., Liu, Q., Revu, S.K., Mohib, K., … & McGeachy, M.J. (2021).
    IL-17–dependent fibroblastic reticular cell training boosts tissue protective mucosal immunity through IL-10–producing B cells.
    Science Immunology, 6(66), eaao3669. PMID: 34919443

  • Xiao, Y.#, Wu, D.W.#, Shi, X.#, Liu, S.#, Hu, X., Zhou, C., … & Chen, M. (2021).
    High Child-Pugh and CRUB65 scores predict mortality of decompensated cirrhosis patients with COVID-19: A 23-center, retrospective study.
    Virulence, 12(1), 1199–1208. PMID: 33870852

  • Zhou, C., Wu, D.W., Jawale, C., Li, Y., Biswas, P.S., McGeachy, M.J., & Gaffen, S.L. (2021).
    Divergent functions of IL-17-family cytokines in DSS colitis: Insights from a naturally-occurring human mutation in IL-17F.
    Cytokine, 148, 155715. PMID: 34587561

  • Poholek, C.H., Raphael, I., Wu, D.W., Revu, S., Rittenhouse, N., Uche, U.U., … & McGeachy, M.J. (2020).
    Noncanonical STAT3 activity sustains pathogenic Th17 proliferation and cytokine response to antigen.
    Journal of Experimental Medicine, 217(10). PMID: 32697822

  • Xiao, Y., Shi, X., She, Q., Chen, Q., Pan, H., Zhang, J., Liu, X.J., Wu, H.Y., Jin, W.F., Ke, G., Liu, S.Z., Li, J., Zhou, J., Wu, D.W., … & Chen, M. (2020).
    Exploration of turn-positive RT-PCR results and factors related to treatment outcome in COVID-19: A retrospective cohort study.
    Virulence, 11(1), 1250–1256. PMID: 32921249

  • Majumder, S., Amatya, N., Revu, S., Jawale, C.V., Wu, D.W., Rittenhouse, N., … & McGeachy, M.J. (2019).
    IL-17 metabolically reprograms activated fibroblastic reticular cells for proliferation and survival.
    Nature Immunology, 20(5), 534–545. PMID: 30962593

  • Lin, J., Tan, H., Nie, Y., Wu, D.W., Zheng, W., Lin, W., … & Chen, T. (2019).
    Krüppel‐like factor 2 inhibits hepatocarcinogenesis through negative regulation of the Hedgehog pathway.
    Cancer Science, 110(4), 1220–1231. PMID: 30719823

  • Deng, G., Li, H., Zeng, F., Chen, L., Li, H., Wu, D.W., … & Wang, Z. (2019).
    Pringle maneuver versus hemihepatic blood flow occlusion during hepatectomy: a systematic review and meta-analysis.
    International Journal of Clinical and Experimental Medicine, 12(1), 11–25.

  • Zhang, K., Tian, J., He, Z., Sun, W., Pekbay, B., Lin, Y., Wu, W.D., … & Zhang, L. (2018).
    Validation of the Chinese version of EORTC QLQ‐BN 20 for patients with brain cancer.
    European Journal of Cancer Care, 27(2), e12832. PMID: 29461664

  • Wu, D.W.* Li, Y., & Wang, F. (2017).
    How long can we store blood samples: a systematic review and meta-analysis.
    EBioMedicine, 24, 277–285. PMID: 28965875

  • Li, H.#, Wu, D.W.#, Shi, S., Xu, Y., Wei, L., Liu, J., & Liu, Y. (2017).
    Expression and clinical significance of CD147 in renal cell carcinoma: a meta-analysis.
    Oncotarget, 8(31), 51331. PMID: 28881651

  • Li, H.#, Jiang, C.#, Wu, D.W.#, Shi, S., Liao, M., Wang, J., … & Xu, Z. (2017).
    The prognostic and clinicopathologic characteristics of CD147 and esophagus cancer: A meta-analysis.
    PLoS ONE, 12(7), e0180271. PMID: 28700599

  • Zhang, Z.#, Zhang, X.#, Wei, L.#, Lin, Y.#, Wu, D.W.#, Xie, S., … & Zhang, L. (2017).
    Questionnaire to assess quality of life in patients with breast cancer – validation of the Chinese version of the EORTC QLQ-BR 53.
    The Breast, 32, 87–92. PMID: 28068605

 

 

 

 

Greg Shaffer | Industrial Organization | Best Researcher Award

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Prof | Greg Shaffer | Industrial Organization | Best Researcher Award |

Full Professor at University of Rochester, United States

Professor Greg Shaffer is a leading scholar in the fields of industrial organization, pricing strategy, and competition policy. He currently holds the John M. Olin Distinguished Professorship at the Simon Business School, University of Rochester. Over the decades, he has established himself as a preeminent researcher and educator in pricing, channel strategy, and antitrust economics, with extensive academic appointments in the U.S. and Europe. He is also a Certified Pricing Professional and the founder of the Center for Pricing at the University of Rochester.

Publication Profile 

Orcid

Educational Background 

  • Ph.D., Economics, Princeton University, November 1989

  • M.A., Economics, Princeton University, June 1988

  • B.A., Economics and Mathematics (High Honors), Swarthmore College, May 1984

Full-Time (University of Rochester):

  • John M. Olin Distinguished Professor, 2017–present

  • Wesray Professor of Business, 2009–2017

  • Professor, 2003–2009

  • Associate Professor, 2000–2003

  • Assistant Professor, 1997–2000

  • Previous:

    • Associate Professor, Indiana University, 1996–1997

    • Assistant Professor, University of Michigan, 1989–1996

    Visiting and Adjunct Roles:

    • Adjunct Professor, NHH and University of Bergen/BECCLE, 2009–2022

    • Chair of Industrial Economics, University of East Anglia, 2007–2014

    • Visiting Scholar, Kellogg School, FTC, U.S. DOJ (multiple years)

Research Interests 

  • Industrial organization

  • Pricing strategy and channel management

  • Exclusive dealing and exclusionary practices

  • Price discrimination and input pricing

  • Competition policy and antitrust law

  • Strategic contracting and resale price maintenance

Awards and Honors 

  • Superior Teaching Award, MSMA Class of 2024

  • Highest Teaching Ratings at Simon Business School: Fall 1999, 2017, 2018

  • Superior Teaching Awards: MBA Classes of 2001 and 2004

  • Listed in Business Week Guide to the Best Business Schools (2001)

  • Reader’s Digest Prize for Excellence in Teaching, Princeton (1987–1988)

  • Excellence in Education Award, University of Michigan (1993–1994)

  • Postdoctoral Teaching Fellow Award, University of Michigan (1992–1993)

Conclusion 

Professor Greg Shaffer is a highly accomplished and respected academic in economics and business, particularly in pricing and industrial organization. His rich teaching legacy, influential publications, and leadership in developing pricing research make him a central figure in both academic and applied economics. His contributions span across institutions, journals, and regulatory bodies, shaping both theory and practice in competitive strategy

Publications 

 

  1. “Bundling and Line Extensions in Distribution Channels,” (with Roman Inderst and Fabian
    Griem), forthcoming in Management Science.
  2. “Slotting Fees and Price Discrimination in Retail Channels,” (with Sreya Kolay), Marketing Science, 41: 1145-1162, November-December 2022.
  3. “Input Price Discrimination by Resale Market,” (with Jeanine Mikl´os-Thal), The Rand Journal
    of Economics, 52: 727-757, Winter 2021.
  4. “Third-Degree Price Discrimination in Oligopoly with Endogenous Input Costs,” (with Jeanine
    Mikl´os-Thal), International Journal of Industrial Organization, 79 (2021) 102713.
  5. “Pass-Through as an Economic Tool – On Exogenous Competition, Social Incidence, and Price
    Discrimination,” (with Jeanine Mikl´os-Thal), Journal of Political Economy, 129: 323-335,
    January 2021.
  6. “Market-Share Contracts, Exclusive Dealing, and the Integer Problem,” (with Zhijun Chen),
    American Economic Journal: Microeconomics, 11: 208-242, February 2019.
  7. “Managing Channel Profits When Retailers Have Profitable Outside Options,” (with Roman Inderst), Management Science, 65: 642-659, February 2019.
  8. “Apple’s Agency Model and Most-Favored-Nation Clauses,” (with Øystein Foros and Hans Jarle
    Kind), The Rand Journal of Economics, 48: 673-703, Fall 2017.
    “Private Contracting with Externalities: Divide and Conquer?,” (with Jeanine Mikl´os-Thal),
    International Journal of Industrial Organization, 50: 460-472, January 2017.
  9. “Naked Exclusion with Private Offers,” (with Jeanine Mikl´os-Thal), American Economic Journal:
    Microeconomics, 8: 174-194, November 2016.
    “Naked Exclusion with Minimum-Share Requirements,” (with Zhijun Chen), The Rand Journal
    of Economics, 45: 64-91, Spring 2014.
  10. “Exclusionary Discounts,” (with Janusz A. Ordover), International Journal of Industrial Organization, 31: 569-586, September 2013.

Yuxi Wang | Empirical Corporate Finance | Best Researcher Award

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Dr. Yuxi Wang | Empirical Corporate Finance | Best Researcher Award

Associate Professor at Shanghai Jiao Tong University, China

Dr. Yuxi Wang is an Associate Professor of Finance at the Antai College of Economics & Management (ACEM), Shanghai Jiao Tong University (SJTU). His research lies at the intersection of corporate finance, entrepreneurship, and innovation, with notable contributions on tariff uncertainty, firm innovation, and the cost of debt. Dr. Wang is recognized for both his rigorous empirical work and his active role in academic communities through publishing, peer reviewing, and conference organization.

Publication Profile 

Orcid

Educational Background 

  • Ph.D. in Finance, Nanyang Technological University (NTU), Singapore (2017)
    Fields: Empirical Corporate Finance, Entrepreneurial Finance, Investment, Social Connection

  • B.Eng. in Electrical and Electronic Engineering, NTU, Singapore (2011)
    Recipient of the prestigious Lee Kuan Yew Gold Medal

Professional Experience 

  • Associate Professor, Department of Finance, ACEM, SJTU (2021–Present)

  • Assistant Professor, Department of Finance, ACEM, SJTU (2017–2021)

Teaching Portfolio:

  • MBA & MSc Programs: Entrepreneurship, Venture Capital, Security Analysis, and Institutional Investments

  • Undergraduate Courses: Financial Innovation, Mutual Funds, Security Analysis (in both English and Chinese)

  • Active in developing and delivering internationally-oriented finance courses

Research Interests 

  • Empirical Corporate Finance

  • Entrepreneurial Finance

  • High-Tech Innovation and Green Finance

  • Tariff and Trade Policy Effects

  • Social Capital in Financial Markets

  • ESG Disclosure and Technology Monopoly

Awards and Honors 

  • Best Paper Award, 19th Annual Conference on Asia-Pacific Financial Markets (2024)

  • Best Paper Award, China Corporate Finance Summer Forum (2024)

  • National Natural Science Foundation of China Youth Grant (2025–2027)

  • SJTU ACEM Start-up Research Fund (2017–2023)

  • AFA Student Travel Grant (2016)

  • Nanyang President’s Graduate Scholarship, NTU (2011–2015)

  • Lee Kuan Yew Gold Medal, NTU (2011)

Professional Activities

  • Ad hoc reviewer for top finance journals (e.g., Journal of Banking and Finance, Research Policy)

  • Session Chair and Program Chair at multiple national finance conferences

  • Seminar Organizer at SJTU for research engagement

Conclusion 

Dr. Yuxi Wang is a highly productive and influential academic in the field of finance. His research contributions on trade policy, innovation, and entrepreneurship are timely and well-regarded, evidenced by high-impact publications and competitive awards. He is active in both academic service and teaching innovation. His interdisciplinary background in engineering and finance, combined with his international academic footprint, enhances his profile significantly. In conclusion, Dr. Wang demonstrates all the attributes of a forward-thinking finance scholar and is an ideal candidate for recognition through academic awards or research excellence honors.

Publications 

  1. Gao, H., & Wang, Y. (2025). Tariff uncertainty and the cost of debt: Evidence from United States–China permanent normal trade relations. Journal of Banking & Finance, 157, 107515. https://doi.org/10.1016/j.jbankfin.2025.107515

  2. Chen, T., Gao, H., & Wang, Y. (2021). Tariff uncertainty and firm innovation: Evidence from the U.S.–China Permanent Normal Trade Relation. Journal of Empirical Finance, 61, 43–61. https://doi.org/10.1016/j.jempfin.2021.02.002

  3. Hwang, C.-Y., Titman, S., & Wang, Y. (2018). Is it who you know or what you know? Evidence from IPO allocations and mutual fund performance. Journal of Financial and Quantitative Analysis, 53(6), 2673–2702. https://doi.org/10.1017/s0022109018000534

 

 

 

 

Greg Shaffer | Industrial Organization | Best Researcher Award

Published on by Innovation Technologist

Prof. Greg Shaffer | Industrial Organization | Best Researcher Award

Full Professor at University of Rochester, United States

Dr. Greg Shaffer is a distinguished economist specializing in industrial organization, pricing strategies, and marketing channels. Currently holding the John M. Olin Distinguished Professorship at the Simon Business School, University of Rochester, he is internationally recognized for his influential research on antitrust, vertical relationships, and price discrimination. With decades of academic service and editorial leadership, Dr. Shaffer continues to shape the direction of applied microeconomic theory and policy.

Publication Profile 

Orcid

Educational Background 

  • Ph.D. in Economics, Princeton University, November 1989

  • M.A. in Economics, Princeton University, June 1988

  • B.A. with High Honors in Economics and Mathematics, Swarthmore College, May 1984

Professional Experience 

Simon Business School, University of Rochester
- John M. Olin Distinguished Professor of Economics (2017–Present)

  • Leading research in industrial organization, pricing, and marketing strategy

  • Recognized for excellence in teaching and mentoring graduate students
    - Wesray Professor of Business (2009–2017)

  • Conducted advanced research on vertical relationships, antitrust policy, and retail competition

  • Published extensively in top-tier economics and marketing journals

University of Michigan

  • Faculty Member, Ross School of Business (prior to 2009)

    • Taught undergraduate and graduate courses in microeconomics and industrial organization

    • Awarded the Excellence in Education Award (1993–94) for outstanding teaching contributions

Other Academic and Professional Engagements

    • Active member and contributor to academic societies, including the American Economic Association and the European Association for Research in Industrial Economics

    • Consultant and reviewer on issues of pricing strategy, antitrust, and distribution systems

 Editorial Roles

  • Co-Editor, Journal of Economics & Management Strategy (2002–Present)

  • Department Editor, Management Science (2024–Present)

  • Associate Editor roles:

    • Management Science (2013–2024)

    • Marketing Science (2002–2010, 2012–2018)

    • Quantitative Marketing and Economics (2002–2007, 2011–2016)

    • Journal of Economics and Business (1998–Present)

Research Interests 

  • Industrial Organization

  • Marketing Channels

  • Pricing Strategies and Price Discrimination

  • Antitrust and Contract Theory

  • Exclusive Dealing and Vertical Relationships

  • Retail Competition and Distribution Systems

Awards and Honors 

Teaching Excellence:

  • Superior Teaching Award – MSMA Class of 2024, MBA Classes of 2004 & 2001

  • Teaching Honor Roll – Multiple semesters (1999–2023)

  • Highest Teaching Ratings, Simon Business School – Fall 1999, 2017, 2018

  • Excellence in Education Award, University of Michigan, 1993–94

  • Reader’s Digest Prize for Excellence in Teaching, Princeton University, 1987–88

Fellowships & Scholarships:

  • National Science Foundation Fellowship in Economics, 1984–87

  • John M. Olin Fellowship, Princeton University, 1987–88

  • Livingston and Rothschild Research Scholar, University of Michigan

Other Distinctions:

  • Certified Pricing Professional, Professional Pricing Society (2008)

  • Adams Prize in Econometrics, Swarthmore College (1984)

  • Listed in BusinessWeek Guide to Best Business Schools (2001)

Honor Societies:

  • Phi Beta Kappa (1984)

  • Beta Gamma Sigma (2000)

 Professional Memberships

  • American Economic Association (AEA), 1987–Present

  • INFORMS College on Marketing, 1989–Present

  • European Association for Research in Industrial Economics, 1992–Present

Conclusion 

Dr. Greg Shaffer is a leading figure in applied microeconomic research, especially in the study of market structure, channel strategy, and competitive pricing. His prolific academic output, editorial stewardship of premier journals, and celebrated teaching record underscore his lasting impact on economics and business education. Through rigorous analysis and practical insight, Dr. Shaffer has contributed to the understanding and design of more competitive and efficient markets.

Publications 

  1. “Bundling and Line Extensions in Distribution Channels”
    with Roman Inderst and Fabian Griem
    Forthcoming, Management Science

  2. “Slotting Fees and Price Discrimination in Retail Channels”
    with Sreya Kolay
    Marketing Science, Vol. 41, pp. 1145–1162, November–December 2022

  3. “Input Price Discrimination by Resale Market”
    with Jeanine Miklós-Thal
    The RAND Journal of Economics, Vol. 52, pp. 727–757, Winter 2021

  4. “Third-Degree Price Discrimination in Oligopoly with Endogenous Input Costs”
    with Jeanine Miklós-Thal
    International Journal of Industrial Organization, Vol. 79 (2021), Article 102713

  5. “Pass-Through as an Economic Tool – On Exogenous Competition, Social Incidence, and Price Discrimination”
    with Jeanine Miklós-Thal
    Journal of Political Economy, Vol. 129, pp. 323–335, January 2021

  6. “Market-Share Contracts, Exclusive Dealing, and the Integer Problem”
    with Zhijun Chen
    American Economic Journal: Microeconomics, Vol. 11, pp. 208–242, February 2019

  7. “Managing Channel Profits When Retailers Have Profitable Outside Options”
    with Roman Inderst
    Management Science, Vol. 65, pp. 642–659, February 2019

  8. “Apple’s Agency Model and Most-Favored-Nation Clauses”
    with Øystein Foros and Hans Jarle Kind
    The RAND Journal of Economics, Vol. 48, pp. 673–703, Fall 2017

  9. “Private Contracting with Externalities: Divide and Conquer?”
    with Jeanine Miklós-Thal
    International Journal of Industrial Organization, Vol. 50, pp. 460–472, January 2017

  10. “Naked Exclusion with Private Offers”
    with Jeanine Miklós-Thal
    American Economic Journal: Microeconomics, Vol. 8, pp. 174–194, November 2016

  11. “Naked Exclusion with Minimum-Share Requirements”
    with Zhijun Chen
    The RAND Journal of Economics, Vol. 45, pp. 64–91, Spring 2014

  12. “Exclusionary Discounts”
    with Janusz A. Ordover
    International Journal of Industrial Organization, Vol. 31, pp. 569–586, September 2013

  13. “Contract Design with a Dominant Retailer and a Competitive Fringe”
    with Sreya Kolay
    Management Science, Vol. 59, pp. 2111–2116, September 2013

  14. “Optimal Low-Price Guarantees with Anchoring” (Lead Article)
    with Morten Hviid
    Quantitative Marketing and Economics, Vol. 10, pp. 393–417, December 2012

  15. “Mergers and Partial Ownership”
    with Øystein Foros and Hans Jarle Kind
    European Economic Review, Vol. 55, pp. 916–926, October 2011

 

 

 

 

 

 

Danielle Scharp | Aging Health | Best Researcher Award

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Dr. Danielle Scharp | Aging Health | Best Researcher Award

Postdoctoral Research Fellow at Icahn School of Medicine at Mount Sinai, United States

Dr. D. Scharp is a board-certified Family Nurse Practitioner and nursing scientist whose work lies at the intersection of clinical care, health disparities, informatics, and gerontological research. With over a decade of clinical and academic experience, Dr. Scharp leverages natural language processing (NLP) and machine learning in the study of urinary incontinence, hospitalization risks, and bias in clinical documentation. She is a published researcher, a dedicated mentor, and an invited speaker recognized for her scholarly and clinical contributions to nursing and health informatics.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Nursing – Columbia University (2021–2024)
    Dissertation: Leveraging Natural Language Processing to Identify Risk for Hospitalizations Among Older Adult Home Healthcare Patients with Urinary Incontinence
    Advisor: Dr. Maxim Topaz
    Fellowships:

    • RHeaDI Fellowship Program (T32NR007969)

    • Research on Disparities in Aging and Dementia (DiAD) (T32AG066598), Mount Sinai

  • MSN, Family Nurse Practitioner – Georgetown University (2012–2015)

  • BSN, Biology Minor – Wagner College (2006–2010)
    Graduated Magna Cum Laude, earned Department Honors and multiple student leadership and academic awards.

Professional Experience 💼

🔹 Clinical Experience:

  • Family Nurse Practitioner – Costa Berkshire Group, NY (2017–2021)

  • Family Nurse Practitioner – Tri-County Community Action Agency, RI (2015–2017)

  • Registered Nurse – MedStar Georgetown University Hospital and other institutions (2010–2015)

🔹 Research Experience:

  • Columbia University School of Nursing

    • Studied economic marginalization in gender minorities and HIV outcomes

    • Explored symptom burden in atrial fibrillation

    • Investigated racial/ethnic bias in obstetric care

    • Developed predictive models for preventable hospitalizations in homecare

    • Assessed nursing documentation in electronic health records

Research Interests 🔬

  • Natural Language Processing (NLP) in healthcare

  • Health disparities in aging populations

  • Home healthcare and hospitalization prevention

  • Urinary incontinence in older adults

  • Clinical decision support systems

  • Bias and stigmatizing language in clinical documentation

  • Maternal health equity and symptom documentation

Awards and Honors🏆✨

  • Urologic Nursing Outstanding Reviewer Award (2020)

  • Caring Star Award – MedStar Georgetown University Hospital (2011 & 2012)

  • Mary Burr Award, Senior Scholar Athlete Award, Department Honors, and multiple scholarships and academic distinctions from Wagner College

  • Magna Cum Laude Graduate – Wagner College

Professional Memberships🧩

  • Gerontological Society of America

  • American Medical Informatics Association (AMIA)

  • International Continence Society

  • Society of Urologic Nurses and Associates (Reviewer)

  • Sigma Theta Tau – Columbia and Wagner Chapters

  • Eastern Nursing Research Society

  • Multiple state nurse practitioner associations

Teaching and Leadership📚

  • Invited speaker at George Washington University and Columbia University

  • Instructor and mentor for doctoral and nursing students in informatics, grant writing, and evidence-based practice

  • Co-editor, AMIA Student Working Group Newsletter

  • Doctoral Seminar Leader and Peer Mentor, Columbia University

Conclusion🌟

Dr. D. Scharp exemplifies a modern nurse scientist — grounded in clinical practice and committed to solving pressing healthcare problems through advanced informatics and research. Her robust academic training, clinical expertise, and data science focus enable her to address disparities in aging, chronic conditions, and maternal health. With a strong foundation in NLP, data-driven decision-making, and mentorship, she is poised to continue shaping the future of health equity, nursing science, and healthcare innovation.

Publications 📚

  1. 📄 Age-related differences in unmet needs and their predictors among adults with bladder cancer
    📘 Urologic Oncology: Seminars and Original Investigations | 🗓️ July 2025
    🔗 DOI: 10.1016/j.urolonc.2025.06.007
    👩‍🔬 Contributors: Danielle Scharp, Tung-Ming Leung, Bente Thoft Jensen, et al.

  2. 🧩 Symptom Burden: A Concept Analysis
    📘 Nursing Science Quarterly | 🗓️ April 2025
    🔗 DOI: 10.1177/08943184241311908
    👩‍🔬 Contributors: Danielle Scharp, Sarah E. Harkins, Maxim Topaz

  3. 💬 Applying NLP to Understand Symptoms Among Older Adults with Urinary Incontinence
    📘 Journal of Nursing Scholarship | 🗓️ January 2025
    🔗 DOI: 10.1111/jnu.13038
    👩‍🔬 Contributors: Danielle Scharp, Jiyoun Song, Mollie Hobensack, et al.

  4. 🧠 Developing a Clinical Decision Support Framework in Home Health for Heart Failure
    📘 Journal of Nursing Scholarship | 🗓️ January 2025
    🔗 DOI: 10.1111/jnu.13030
    👩‍🔬 Contributors: Sena Chae, Danielle Scharp, et al.

  5. 🏥 Social Determinants of Health Documentation Across Racial/Ethnic Groups
    📘 Journal of Nursing Scholarship | 🗓️ January 2025
    🔗 DOI: 10.1111/jnu.12980
    👩‍🔬 Contributors: Mollie Hobensack, Danielle Scharp, et al.

  6. 🏩 Secondary Qualitative Analysis of Stigmatizing Language in Hospital Birth Settings
    📘 Journal of Obstetric, Gynecologic & Neonatal Nursing | 🗓️ January 2025
    🔗 DOI: 10.1016/j.jogn.2024.10.003
    👩‍🔬 Contributors: Veronica Barcelona, Danielle Scharp, et al.

  7. 📝 NLP Applied to Clinical Documentation in Post-Acute Care: A Scoping Review
    📘 Journal of the American Medical Directors Association | 🗓️ January 2024
    🔗 DOI: 10.1016/j.jamda.2023.09.006
    👩‍🔬 Contributors: Danielle Scharp, Mollie Hobensack, et al.

  8. 🧓 Comorbidities of Older Adults with Urinary Incontinence: A Scoping Review
    📘 Geriatric Nursing | 🗓️ September 2023
    🔗 DOI: 10.1016/j.gerinurse.2023.08.005
    👩‍🔬 Contributors: Danielle Scharp, Sarah E. Harkins, Maxim Topaz

  9. 🗣️ Qualitative Analysis of Stigmatizing Language in Birth Admission Notes
    📘 Nursing Inquiry | 🗓️ July 2023
    🔗 DOI: 10.1111/nin.12557
    👩‍🔬 Contributors: Veronica Barcelona, Danielle Scharp, et al.

 

 

 

Emile Blaise Siewe Pougoue | Agricultural Economics | Innovative Research Award

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Dr. Emile Blaise Siewe Pougoue | Agricultural Economics | Innovative Research Award

Lecturer at University of Maroua, Cameroon

Dr. Emile Blaise Siewe Pougoue is an accomplished Cameroonian scholar and Lecturer-Researcher specializing in Agricultural Economics, with over 10 years of experience in academic instruction, applied research, rural development, innovation systems, and food security policy. His work is deeply rooted in addressing agricultural innovation, rural livelihoods, food systems, and sustainable development challenges in Sub-Saharan Africa. He holds several academic roles across public and private institutions and serves as a consultant for international projects such as CIFOR-ICRAF.

Publication Profile 

Orcid

Educational Background 🎓

Dr. Emile Blaise Siewe Pougoue possesses a strong and diverse academic background in agricultural economics and rural development. He earned his Ph.D. in Engineering Sciences with a specialization in Agroeconomics from the University of Maroua, Cameroon in 2021, graduating with the highest distinction of Très Honorable. Prior to that, he obtained a Master of Science in Agronomy, specializing in Integrated Rural Development from the University of Dschang, Cameroon in 2017, where he was awarded a Très Bien distinction. In 2016, he completed a Professional Master’s Degree in Agronomy with a focus on Rural Economics, Sociology, and Extension at the University of Abomey-Calavi, Benin. This was made possible through the prestigious EU-funded HAAGRIM mobility programme under the EU-INTRA ACP Excellence initiative. Earlier, in 2013, he received a Master’s degree in Rural Economics, with a concentration in Agribusiness and Management, from the University of Dschang. His academic journey began with a Bachelor’s degree in Economics, focused on Currency, Finance, and International Economics, from the University of Dschang in 2010. He completed his secondary education at La Confiance Private College of Bafoussam, Cameroon, earning the General Baccalaureate (Mathematics and Life Sciences) in 2007. Dr. Siewe Pougoue’s academic training, spanning multiple institutions and countries, has equipped him with interdisciplinary skills and a broad perspective on rural and agricultural development in Africa.

Professional Experience 💼

Academic Positions

  • Lecturer-Researcher, Department of Agriculture, Livestock and Derived Products (AGEDP), University of Maroua (since Jan 2023)

  • Associate Professor, Catholic University of Central Africa (ISAAC), Bangui (since 2023)

  • Lecturer at private institutions including ISPB and UEC (since 2015)

Research and Consulting Roles

  • Researcher & Consultant, CIFOR-ICRAF (2021–2023): Focus on agro-silvopastoral innovation systems and food security.

  • Agropastoral Advisor, PCP-ACEFA Program (2019–2021): Technical diagnosis, support to farmer organizations.

  • Consultant, PIDMA Project (2017): Capacity building and partnership facilitation.

  • Junior Specialist, PACA (2013–2014): Value chain analysis and project evaluations.

  • Sustainable Agriculture Coordinator, Codas Caritas Diocese of Bafoussam (2014).

Research Interests 🔬

  • Food Security and Nutrition

  • Agro-economics and Rural Sociology

  • Agricultural and Livestock Innovation Systems

  • Climate Change Adaptation in Agriculture

  • Natural Resource Management and Land Tenure

  • Project Management, Value Chain Analysis

  • Knowledge Management and Theory of Change in Development

Awards and Honors🏆✨

  • 2023: Winner of the APAFREP Project (AFD-funded) – Micro-project on sweet potato systems and food security.

  • 2017: CREA & Bill & Melinda Gates Foundation Scholarship – PhD research on Agricultural Policy and Food Security.

  • 2016: HAAGRIM Scholarship (EU-INTRA ACP) for mobility studies at the University of Abomey-Calavi, Benin.

Memberships and Leadership

  • FSN Forum Member – Global Forum on Food Security and Nutrition (FAO)

  • Founding Member, Union of African Agricultural Engineers (UAAE)

  • Member, African Association of Agricultural Economists (AAAE)

  • Youth and Student Leadership Roles, including Red Cross and student unions

Conclusion🌟

Dr. Emile Blaise Siewe Pougoue is a highly experienced and multidisciplinary scholar whose contributions span policy-oriented agricultural economics, capacity building, rural innovation, and sustainability. With a rich background in academia, consulting, and project leadership, he bridges research and practice effectively. His work is deeply relevant to advancing the resilience and productivity of food systems in Sub-Saharan Africa. His credentials, active research output, and policy engagement make him an ideal candidate for recognition in innovative and applied agricultural research domains.

Publications 📚

  1. 🧑‍🌾 Gender and Food Resourcism in Sahelian Zone of Cameroon
    📰 World Food Policy, 2025-11
    🔗 DOI: 10.1002/wfp2.70005
    👥 Contributors: Emile Blaise Siéwé Pougoué, Armand Abdou Bouba, Ali Madi, Precillia Ijang Tata Ngome, Denis Pompidou Folefack, Augustin Goudoum

  2. 📊 Modélisation logistique des déterminants de la situation alimentaire des ménages ruraux au Cameroun
    📰 Revue Marocaine des Sciences Agronomiques et Vétérinaires, 2025-03-22
    🔗 DOI: 10.5281/zenodo.15068665

  3. 🌱 Climate Change and Integrated Farmland Management in North Cameroon
    📰 African Journal of Land and Geospatial Sciences (AJLP-GS), 2024-12-26

  4. 📈 La sécurité alimentaire au Nord Cameroun : une approche d’analyse quantitative
    📰 New Medit, 2023-12-15
    🔗 DOI: 10.30682/nm2304b

  5. 🌾 Vulnérabilité et stratégies d’adaptation des ménages ruraux à l’insécurité alimentaire de la zone sahélienne du Cameroun
    📰 Revue Africaine d’Environnement et d’Agriculture, 2023-09-30
    🔗 DOI: 10.4314/rafea.v6i3.3

  6. 🏦 Déterminants de la performance financière et sociale des institutions de microfinance au Cameroun
    📰 Journal of Academic Finance, 2022-12-30
    🔗 DOI: 10.59051/joaf.v13i2.539

  7. 🥚 Production d’Œufs et Bien-être des Aviculteurs au Sud du Bénin
    📰 Revue Africaine d’Environnement et d’Agriculture (RAFEA), 2021-03-27

  8. 🍽️ Mesure de la sécurité alimentaire des ménages ruraux de la région de l’Extrême-Nord du Cameroun : une approche d’analyse multidimensionnelle
    📰 RAFEA, 2020-09-12

  9. 🐔 Efficacité technique des exploitations avicoles productrices d’œufs au sud du Bénin
    📰 Revue d’élevage et de médecine vétérinaire des pays tropicaux, 2019-05-16
    🔗 DOI: 10.19182/remvt.31728

  10. 🌽 Effets des innovations managériales sur la compétitivité agricole
    📰 Tropicultura, 2019-03-10

 

 

 

 

Pengfei Ji | Artificial Neural Networks | Best Researcher Award

Published on by Innovation Technologist

Dr. Pengfei Ji | Artificial Neural Networks | Best Researcher Award

Chief Technician at Cancer Hospital of Dalian University of Technology, Shenyang, China

Dr. Pengfei Ji is currently serving as the Chief Technician at the Cancer Hospital of Dalian University of Technology (also referred to as Liaoning Cancer Hospital). With a strong background in medical sciences and radiotherapy, Dr. Ji has focused his professional career on advancing cancer diagnosis and treatment, particularly through the integration of Artificial Intelligence (AI) technologies. His research includes AI-based methods for tumor diagnosis, personalized treatment planning, and prognosis prediction, contributing significantly to the development of precision oncology in China.

Publication Profile 

Scopus

Educational Background 🎓

  • Institution: Dalian Medical University, China

  • Degree: Master’s Degree in Medical Sciences

  • Specialization: Cancer Radiotherapy and AI Applications in Oncology

Professional Experience 💼

  • Current Designation: Chief Technician

  • Institution: Cancer Hospital of Dalian University of Technology / Liaoning Cancer Institute

  • Key Roles:

    • Oversight of technical operations in cancer radiotherapy

    • Implementation and optimization of AI-assisted diagnostic protocols

    • Research and development in personalized cancer therapy systems

    • Supervision of collaborative clinical studies and trials

Research Interests 🔬

  • Artificial Intelligence in Medical Imaging and Oncology

  • Tumor Diagnosis and Prognosis Prediction

  • Radiotherapy Techniques and Planning

  • Predictive Modeling and Clinical Decision Support Systems

  • AI-based Clinical Workflow Optimization

  • Multi-modal Cancer Data Integration

Awards and Honors🏆✨

  • Recognized for contributions in AI-integrated Cancer Research

  • Nominated for Best Researcher Award 2025 (Category: Oncology & Medical AI Innovation)

  • Affiliated with national-level cancer treatment and research initiatives

Conclusion🌟

Dr. Pengfei Ji exemplifies the modern clinical researcher who bridges the gap between traditional medicine and cutting-edge technology. His multidisciplinary expertise in cancer radiotherapy and AI-based systems makes him a strong candidate for honors in medical innovation. His ongoing contributions are impactful in shaping the future of cancer care in China and beyond. With continuous advancements and strong institutional backing, Dr. Ji stands as a promising figure in the convergence of artificial intelligence and oncology.

Publications 📚

📄 Article Title: A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancer
👨‍⚕️ Author(s): Pengfei Ji
📘 Journal: Artificial Intelligence in Medicine
📅 Year: 2025
🧠 Keywords: AI in Radiotherapy, Gastric Cancer, Survival Prediction, Deep Learning
🏥 Affiliation: Cancer Hospital of Dalian University of Technology

Meiwei Zhang | AI with Medical | Best Researcher Award

Published on by Innovation Technologist

Dr. Meiwei Zhang | AI with Medical | Best Researcher Award

Chongqing University, Ireland

Dr. Meiwei Zhang is a multidisciplinary researcher with a strong academic and industrial background in medical information processing, natural language processing (NLP), and artificial intelligence applications in healthcare, particularly Alzheimer’s Disease diagnosis. With significant experience in both academic research and industry-led AI development, Dr. Zhang has contributed to numerous peer-reviewed publications in high-impact journals, focusing on the integration of multimodal data, speech recognition, and large language models (LLMs). His diverse educational background, coupled with applied experience in industry (PWC, Huawei, IBM), demonstrates a robust alignment between theory and practice.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctorate in Medical Information Processing
    Chongqing University, China (2021–2025)
    Focus: AI in Healthcare, Alzheimer’s Disease diagnosis using multimodal and neuropsychological data

  • MSc in Software Engineering
    Athlone Institute of Technology, Ireland (2019–2020)
    Focus: Applied machine learning and NLP systems development

  • BSc in Microelectronics
    University of Electronic Science and Technology of China (2011–2015)
    Foundation in electronics, computing, and data systems

Professional Experience 💼

  • Data Scientist – PWC AC (2022–2024)
    Developed applications using LLMs for report analysis, claims processing, and ESG assessments. Built RAG-based conversational AI systems using LangChain, FAISS, Azure Cognitive Search, and Llama-Index.

  • NLP Intern – Huawei Ireland (2020)
    Designed knowledge graph-enhanced chatbot systems and optimized dialog management via slot-filling mechanisms.

  • NLP Engineer – Huatong Technology (2016–2019)
    Structured medical data using NLP and developed AI-powered Assistance Diagnostic Systems for hospitals.

  • System Engineer – IBM (2015–2016)
    Worked on POC development for enterprise systems and contributed to solution design and implementation.

Research Interests 🔬

  • Medical Information Processing

  • Alzheimer’s Disease Diagnosis

  • Multimodal Learning and Fusion Techniques

  • Natural Language Processing & Speech Recognition

  • Large Language Models (GPT-4, GPT-4o, RAG, CrewAI)

  • Cognitive Frailty Prediction & Elderly Health AI Systems

Publications & Academic Contributions

Dr. Zhang has authored/co-authored over 10 high-quality publications, including in Computers in Biology and Medicine, BMJ Open, and the Journal of Alzheimer’s Disease. His research includes multimodal machine learning frameworks, dialectal speech recognition for elderly cognitive screening, and self-learning AI agent systems for medical diagnostics.

  • Notable achievement: Best Paper Award at IEEE IMSA 2024 for work on AI-based speech recognition in Chongqing dialect.

Awards and Honors🏆✨

  • Best Paper Award – IEEE IMSA 2024
    For AI-based Automatic Speech Recognition tailored to cognitive assessment of Chongqing dialect-speaking older adults

  • Multiple Publications Under Review – in top-tier journals including Information Fusion and Journal of the American Medical Directors Association

Conclusion🌟

Dr. Meiwei Zhang demonstrates strong suitability for recognition such as a Best Researcher Award. His work represents a unique and impactful intersection of medical science and artificial intelligence, particularly in the under-researched domain of Alzheimer’s diagnosis in diverse linguistic populations. His career reflects an excellent balance of academic achievement, technical skill, and real-world application.

He stands out in the following ways:

  • Robust research productivity in a highly relevant healthcare AI domain

  • Proven record in building practical, intelligent medical tools

  • Expertise in modern AI techniques including LLMs and multimodal learning

Publications 📚

  • 🧠 “A Feature-Aware Multimodal Framework with Auto-Fusion for Alzheimer’s Disease Diagnosis”
    📘 Computers in Biology and Medicine, Vol. 178, 2024, 108740
    👥 Co-authors: Q. Cui, Y. Lü, W. Li

  • 🧠 “A Multimodal Learning Machine Framework for Alzheimer’s Disease Diagnosis Based on Neuropsychological and Neuroimaging Data”
    📘 Computers & Industrial Engineering, 2024, 110625
    👥 Co-authors: Multiple

  • 🗣️ “Augmented Dialectal Speech Recognition for AI-Based Neuropsychological Scale Assessment in Alzheimer’s Disease”
    📘 Biomedical Signal Processing and Control, Vol. 99, 2025, 106821
    👥 Co-authors: Q. Cui, W. Li, W. Yu, L. Chen, Y. Lü

  • 🏅 “An AI-Based Automatic Speech Recognition for Chongqing Dialect Older Adults with Cognitive Impairment”
    📘 IEEE IMSA Conference, 2024 (🏆 Best Paper Award)
    👥 Co-authors: W. Li, L. Chen, Q. Cui, J. Yu, et al.

  • 🤖 “An LLM-Based Self-Learning and Critical Agent Framework for Multimodal Alzheimer’s Disease Diagnosis”
    📄 Information Fusion – (Under Review)
    👥 Co-authors: Q. Cui, Y. Lü, Y. Pan, W. Yu, W. Li

  • ⚠️ “A Risk Prediction Model for Falls Among Older Adults Inpatient with Cognitive Frailty: Machine Learning Study Based on Comprehensive Geriatric Assessment”
    📄 Journal of the American Medical Directors Association – (Under Review)
    👥 Co-authors: Lihua Chen#, M. Zhang#, W. Yu, X. Liu, Y. Lü

  • 🧠 “A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening”
    📘 Journal of Alzheimer’s Disease, 2024, pp. 1–12
    👥 Co-authors: L. Chen, W. Yu, J. Yu, Q. Cui, et al.

  • 🧠 “Differentiating Alzheimer’s Disease from Mild Cognitive Impairment: A Quick Screening Tool Based on Machine Learning”
    📘 BMJ Open, Vol. 13, No. 12, 2023: e073011
    👥 Co-authors: W. Lü, W. Yu, L. Chen, et al.

  • 💬 “CoURAGE: A Framework to Evaluate RAG Systems”
    📘 Proceedings of the 29th International Conference on NLDB, 2024
    👥 Co-authors: D. Galla, S. Hoda, W. Quan, T. Yang, J. Voyles

  • 🔤 “Smooth Embedding and Word Sampling Research Based on Transformer Pointer Generation Network”
    📘 International Journal of Machine Learning and Computing, Vol. 11, No. 3, 2021
    👥 Co-authors: Y. Wu, Y. Pang, H. Wen, J. Wang

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