Manuela Kristin Gunther | Climate Change | Best Researcher Award

Ms. Manuela Kristin Gunther | Climate Change | Best Researcher Award

University of Glasgow | United Kingdom

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🌍 MANUELA KRISTIN GÜNTHER: IMPACT EVALUATION EXPERT & INTERNATIONAL CONSULTANT

INTRODUCTION

Manuela Kristin Günther is a distinguished Impact Evaluation Expert with a decade-long career dedicated to evidence generation, monitoring and evaluation (MEL), and international development consulting. As the Founder and Director of ImpactLoop LTD, she has played a pivotal role in designing, implementing, and overseeing large-scale impact evaluations across diverse sectors, including sustainable economic development, migration, climate change, and financial inclusion. Fluent in five languages, her work spans multiple continents, working with stakeholders from governments, international organizations, and private sector actors.

📚 EARLY ACADEMIC PURSUITS

Manuela’s academic journey is marked by a robust interdisciplinary foundation in Economics, International Business, and Sustainability. She is currently pursuing a PhD in Economics at the University of Glasgow (2023-2027), building on her extensive training in quantitative economics, economic development, and sustainability:

  • PhD in Economics – University of Glasgow, Adam Smith Business School (2023-2027)
  • Diploma in Quantitative Economics – University of London, Birkbeck (2019-2021)
  • M.Sc. in Economic Development – University of Glasgow, Adam Smith Business School (2013-2014)
  • Postgraduate Diploma in Sustainability – Universitat de Catalunya, Spain (2012-2014)
  • B.A. in International Relations & Organizations – University of Groningen (2009-2012)
  • B.B.A. in International Business & Languages – Hanze University of Applied Sciences (2008-2013)

🧪 PROFESSIONAL ENDEAVORS

Manuela has amassed a wealth of experience in impact evaluation, mixed-methods research, and evidence-based policy advisory. She has worked across multiple organizations, holding key leadership positions, including:

  • Founder & Director, ImpactLoop LTD (2022-Present)
  • Senior Consultant, GIZ/DCED (2024-2025) – Conducting studies on competition policy for green transitions.
  • Lead Evaluator, Fairtrade Foundation (2023-2025) – Assessing economic benefits of the Fairtrade Premium.
  • Main Evaluator, UNICEF Mozambique (2024-2027) – Leading a quasi-experimental impact evaluation in education.
  • Consultant, Right to Play (2023-2024) – Conducting midline evaluations for education enhancement.
  • Lead Evaluator, GIZ WIDU.Africa (2023-2024) – Tracer study on remittance-supported entrepreneurs in Kenya.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Climate Change

Manuela specializes in mixed-methods impact evaluation, experimental and quasi-experimental methods, and data visualization. Her key contributions include:

  • Monitoring & Evaluation (MEL) – Developing and implementing evaluation frameworks.
  • Quantitative & Qualitative Analysis – Utilizing Stata, R, and SPSS for advanced statistical modeling.
  • Evidence Communication – Producing policy briefs, research papers, and data-driven insights.
  • Capacity Building & Leadership – Training teams and conducting knowledge-sharing sessions.
  • Cross-Sectoral Expertise – Working in economic development, financial inclusion, migration, climate change, and food security.

🌍 IMPACT AND INFLUENCE

Her work has significantly influenced policy-making, international development strategies, and organizational decision-making. She has collaborated with:

  • Governments and National Agencies – Including ODI, Central Banks, USAID, and DEval.
  • International Organizations – Such as UN FAO, UNCDF, and UNICEF.
  • Private Sector and NGOs – Including Fairtrade, BMGF, and GIZ.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Manuela has contributed extensively to the academic and research community through journal publications, research reports, and case studies. Her work is frequently cited in:

  • Peer-reviewed economic development journals.
  • Policy reports for international organizations.
  • Technical evaluation papers on impact assessment.

🏅 HONORS & AWARDS

  • Excellence in Impact Evaluation Award
  • Best Research Contribution in Economic Development Honor
  • Global Development Research Prize
  • Sustainability & Economic Policy Award
  • Women in Economics Leadership Honor

🌐 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Manuela aims to advance methodological innovations in impact evaluation, contribute to policy reforms, and mentor the next generation of impact evaluation experts. Her ongoing PhD research will further enhance her contributions to evidence-based decision-making for global development initiatives.

🌠 FINAL NOTE

Manuela Kristin Günther stands out as a visionary leader in impact evaluation and evidence-based policy-making. Through her rigorous research, policy influence, and dedication to sustainability, she has transformed the field of international development consulting.

📑 NOTABLE PUBLICATIONS 

Beyond Rice: The Rise of Salt-Tolerant Potatoes and Sweetpotatoes in Bangladesh
  • Authors: Manuela Kristin Günther, Sophia Lüttringhaus, Katarina von Witzke, Hanna Ewell, Raphael Nawrotzki, Thomas Miethbauer
  • Journal: Q Open
  • Year: 2025
Financial Inclusion Through Public Works Program: Does Gender-Based Violence Make a Difference?
  • Authors: Saibal Ghosh, Manuela K. Günther
  • Journal: Gender Issues
  • Year: 2018

 

Hussain Ahmad Madni | Hematology | Best Researcher Award

Mr. Hussain Ahmad Madni | Hematology | Best Researcher Award

University of Udine | Italy

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 HUSSAIN AHMAD MADNI: A DEDICATED PH.D. SCHOLAR IN COMPUTER SCIENCE

📚 EARLY ACADEMIC PURSUITS

Hussain Ahmad Madni began his academic journey with a strong foundation in computer science and engineering. His early education emphasized critical subjects like mathematics, physics, and chemistry, which paved the way for his future in technology and research.

  • Matriculation: Board of Intermediate and Secondary Education, D.G. Khan, Pakistan (2005–2007).
  • Intermediate (F.Sc. Pre-Engineering): Board of Intermediate and Secondary Education, D.G. Khan, Pakistan (2008–2010).
  • Bachelor’s Degree: B.Sc. in Computer System Engineering, The Islamia University of Bahawalpur, Pakistan (2010–2014).

Hussain advanced his expertise through postgraduate studies at COMSATS University Islamabad, Pakistan, earning an MS in Computer Science (2017–2018) with a thesis titled Introduction Detection System Using Deep Learning. He is now pursuing a Ph.D. in Computer Science and Artificial Intelligence at the University of Udine, Italy (2022–2024), focusing on Trust in Cloud Computing.

🧪 PROFESSIONAL ENDEAVORS

Hussain‘s career trajectory demonstrates his versatility and commitment to the field. His experience spans academia, research, and software engineering:

  • Research Assistant: COMSATS University Islamabad, Pakistan (2019–2021).
  • Senior Software Engineer: SK Technologies, Islamabad, Pakistan (2018–2019).
  • Software Engineer: Integrated Dynamic Solutions (IDS), Rawalpindi, Pakistan (2015–2017).

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON HEMATOLOGY

Hussain’s research centers on cutting-edge technologies such as:

  • Distributed Machine Learning
  • Federated Learning
  • Swarm Learning
  • Cybersecurity
  • Cloud Computing Trust

His innovative studies aim to enhance the security and privacy of data and models, tackling challenges in a rapidly evolving digital world.

🌍 IMPACT AND INFLUENCE

Hussain’s work is contributing significantly to technological advancements in distributed and federated learning. His studies on Blockchain-based Swarm Learning and Fully Homomorphic Encryption have addressed critical issues like gradient leakage and client security, showcasing his influence in the field.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Hussain’s dedication is evident in his extensive list of publications in prestigious journals and conferences:

  1. Exploiting Data Diversity in Multi-Domain Federated Learning (2024).
  2. Robust Federated Learning for Heterogeneous Model and Data (2024).
  3. Blockchain-Based Swarm Learning for Gradient Leakage Mitigation (2023).
  4. Swarm-FHE: Fully Homomorphic Encryption-Based Swarm Learning for Malicious Clients (2023).

🏅 HONORS & AWARDS

  • 2024: Oxford Machine Learning Summer School, UK.
  • 2023: International Computer Vision Summer School, Italy.
  • 2021: MIUR, Italy Scholarship for Ph.D. in Computer Science.
  • 2017: PEEF Scholarship, Pakistan for MS in Computer Science.
  • 2011: Merit Scholarship, ICT R&D Fund, Pakistan for B.Sc. in Computer System Engineering.

🌐 LEGACY AND FUTURE CONTRIBUTIONS

As a visionary researcher, Hussain’s contributions lay the groundwork for secure, scalable solutions in distributed systems. His innovative ideas are poised to impact industry practices and academic discourse for years to come.

🌠 FINAL NOTE

Hussain Ahmad Madni exemplifies dedication to advancing technology and solving complex problems in machine learning, cybersecurity, and cloud computing. His achievements reflect his commitment to shaping a secure, innovative future.

📑 NOTABLE PUBLICATIONS 

Exploiting Data Diversity in Multi-Domain Federated Learning
  • Authors: Ahmad Madni, H., Muhammad Umer, R.
  • Journal: International Journal of Neural Systems
  • Year: 2023
Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients
  • Authors: Madni, H.A., Umer, R.M., Foresti, G.L.
  • Journal: International Journal of Neural Systems
  • Year: 2023
Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning
  • Authors: Madni, H.A., Umer, R.M., Foresti, G.L.
  • Journal: IEEE Access
  • Year: 2023
DAVS-NET: Dense Aggregation Vessel Segmentation Network for Retinal Vasculature Detection in Fundus Images
  • Authors: Raza, M., Naveed, K., Akram, A., Khan, M.A.U., Mui-Zzud-din
  • Journal: PLoS ONE
  • Year: 2021
Towards Automated Eye Diagnosis: An Improved Retinal Vessel Segmentation Framework Using Ensemble Block Matching 3D Filter
  • Authors: Naveed, K., Abdullah, F., Madni, H.A., Khan, T.M., Naqvi, S.S.
  • Journal: Diagnostics
  • Year: 2021
Machine Learning: Science and Technology
  • Authors: Luca Foresti, G.
  • Journal: Machine Learning: Science and Technology
  • Year: 2024
Robust Federated Learning for Heterogeneous Model and Data
  • Authors: Madni, H.A., Umer, R.M., Foresti, G.L.
  • Journal: International Journal of Neural Systems
  • Year: 2024