Mei-Ling Zheng | Precision Patterns | Best Researcher Award

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Prof. Mei-Ling Zheng | Precision Patterns | Best Researcher Award

Technical Institute of Physics and Chemistry, Chinese Academy of Sciences | China

Publication Profile

Orcid

Prof. Mei-Ling Zheng ⚡🌍

👩‍🔬 INTRODUCTION

Dr. Zheng Meiling is a renowned researcher and leader in the field of organic nanophotonics. She currently holds the position of Researcher at the Institute of Physics, Chinese Academy of Sciences, and is the head of the Bionic Intelligent Interface Science Center’s Organic Nanophotonics Laboratory. With dual PhD degrees in science and engineering, she has made groundbreaking contributions to ultrafast laser micro/nano-processing techniques for functional materials.

🎓 EARLY ACADEMIC PURSUITS

Dr. Zheng’s academic journey began with her dual PhD degrees earned in 2009 and 2010 from Osaka University and the Institute of Physics, Chinese Academy of Sciences. During these formative years, she became passionate about optical precision shaping techniques and developed an interest in nanophotonics. Her research skills were further honed when she became an advanced visiting scholar at Osaka University, where she expanded her knowledge in photonics and nanotechnology.

💼 PROFESSIONAL ENDEAVORS

Dr. Zheng is also an influential academic mentor, having guided many graduate students through their doctoral studies. In addition, she holds significant roles in several high-level academic committees, including the Optical Precision Molding Committee of the China Society of Photographic Science. Her contributions extend to the Chinese Optical Society, where she serves as a member of the High-Speed Photography and Photonics Committee and the Young Council of the China Photographic Society.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Precision Patterns

Dr. Zheng’s primary research interests lie in the development of ultrafast laser micro/nano-processing and functional materials with specialized optical properties. Under her leadership at the Bionic Intelligent Interface Science Center, she has focused on innovations in nanotechnology and photonics, bridging cutting-edge nanophotonics with practical applications in materials science.

🌍 IMPACT AND INFLUENCE

Dr. Zheng’s research has greatly impacted both academic and applied research in optics and nanophotonics. She has published over 130 research papers, many of which appear in prestigious journals such as Nature Communications, Nano Letters, Advanced Functional Materials, and Small. Her 81 first-author or corresponding-author papers have been cited extensively, solidifying her position as a leading scientist in photonics and optics.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zheng has contributed significantly to the scientific community with over 130 publications, including 81 first-author or corresponding-author papers. Her research is highly cited, and she has written three chapters in English-language monographs. In addition to her extensive publications, Dr. Zheng holds 20 patents, including 9 granted in China and 4 internationally, which demonstrate her innovative approach to nanotechnology and photonics.

🏅 HONORS & AWARDS

Dr. Zheng’s contributions to science and technology have been widely recognized. She was nominated for the 2022 Top 10 Advances in Chinese Optics, awarded the Editor’s Recommendation Award by Laser & Optoelectronics Progress in 2020, and has won numerous Best Paper Awards at international conferences. Her work has garnered both national and international recognition, establishing her as a leader in the field.

🌟 LEGACY AND FUTURE CONTRIBUTIONS HIGHLIGHT

Dr. Zheng Meiling’s work has laid the foundation for future breakthroughs in optics and nanotechnology. Her ongoing research and leadership at the Bionic Intelligent Interface Science Center will undoubtedly continue to drive innovations in ultrafast laser processing and functional materials, further cementing her legacy as a trailblazer in the field of organic nanophotonics.

📜 FINAL NOTE

Dr. Zheng Meiling’s academic career is a testament to her dedication and passion for advancing optical precision and nanophotonics. Her leadership and innovative research continue to inspire future generations of scientists. Dr. Zheng remains a pivotal figure in the field, contributing to both theoretical advancements and practical applications in the world of photonics.

 📚 TOP NOTES PUBLICATIONS

Evolution and Application of Digital Micromirror Device Based Maskless Photolithography
  • Authors: Zhou Ziyi, Dong Xianzi, Zheng Meiling
    Journal: Laser & Optoelectronics Progress
    Year: 2022
    DOI: 10.3788/LOP202259.0922030 🌐📚
Flytrap Inspired pH-Driven 3D Hydrogel Actuator by Femtosecond Laser Microfabrication
  • Authors: Wang Jian-Yu, Jin Feng, Dong Xian-Zi, Liu Jie, Zheng Meiling
    Journal: Advanced Materials Technologies
    Year: 2022
    DOI: 10.1002/ADMT.202200276🌐🔬
Micropattern of Silver/Polyaniline Core-Shell Nanocomposite Achieved by Maskless Optical Projection Lithography
  • Authors: Wang Rong-Rong, Zheng Mei-Ling, Zhang Wei-Cai, Liu Jie, Li Teng, Dong Xian-Zi, Jin Feng
    Journal: Nano Letters
    Year: 2022
    DOI: 10.1021/ACS.NANOLETT.2C02528 🌐💡
Switchable lasers via solvent stimulus-responsive photonic crystals
  • Authors: Zhang Bao-Xin, Jin Feng, Dong Xian-Zi, Liu Jie, Zheng Mei-Ling
    Journal: Journal of Materials Chemistry C
    Year: 2022
    DOI: 10.1039/D2TC01558G 🌐⚙️
Transport spectroscopy from Hubbard bands of dopant-induced quantum dot array to one-dimensional conduction subband
  • Authors: Zhang Xiaodi, Chen Jundong, Han Weihua, Ge Yandong, Guo Yangyan, Dong Xianzi, Duan Xuanming, Zheng Meiling, Yang Fuhua
    Journal: Journal of Physics D: Applied Physics
    Year: 2022
    DOI: 10.1088/1361-6463/AC8430 🌐🔬

 

Vinit Vijay Deshpande | Algorithm Development | Best Researcher Award

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Dr. Vinit Vijay Deshpande | Algorithm Development | Best Researcher Award

University of Applied Sciences, Darmstadt | Germany

Publication Profile

Scopus
Orcid

DR. VINIT VIJAY DESHPANDE– BIOGRAPHY 🌱📚

📍 PhD in Computational Mechanics | Researcher, Educator, Innovator

Education 🎓

PhD in Computational Mechanics (Expected Feb 2025)
University of Applied Sciences, Darmstadt, Germany

  • Thesis: “Computational strategies for characterization, reconstruction, and property estimation of ceramic foam” (magna cum laude)
  • Advisor: Prof. Dr. Romana Piat

Master of Technology in Engineering Mechanics (May 2013)
Indian Institute of Technology, Delhi, India

Invited Talks 🗣️

  1. Use of image segmentation to characterize failure modes of struts in ceramic foam under compression
    49th International Conference and Expo on Advanced Ceramics and Composites (ICACC 2025), Daytona Beach, Florida, USA
  2. Application of skeletonization algorithm to investigate failure modes of ceramic foam in uniaxial compression
    4th International Workshops on Advances in Computational Mechanics (IWACOM-IV), Kitakyushu, Japan

Conference Presentations 📅

  • Investigating microstructure failure modes of ceramic foam under uniaxial compression – 16th World Congress on Computational Mechanics (WCCM 2024)
  • Artificial microstructure reconstruction algorithm for stiffness property estimation – 48th ICACC 2024
  • Computational methodology for the relation between volume fraction and compression strength of ceramic foam – 21st International Conference on Fracture and Damage Mechanics (FDM 2023)
    (For the complete list of conferences, refer to the original document.)

Patents 📑

  • 12 Patents on combined braking systems for two-wheelers.
  • 2 Patents on innovative stand concepts for two-wheelers.

Awards & Recognitions 🏆

  • Best Paper Award, Collaborative European Research Conference (CERC) 2020
  • Lieutenant Arpan Banerjee Award for securing the highest CGPA in MTech and D.I.I.T programmes at IIT Delhi (2012-13)

Scholarships 💡

  • Doctoral Fellowship, University of Applied Sciences, Darmstadt
  • DAAD Sandwich Scholarship for master’s thesis in Germany

Teaching Experience 👨‍🏫

  • Teaching Assistant: Laboratory course for ‘Numerical Solutions to Partial Differential Equations’ since Fall 2020

Student Advising 👨‍🎓

  • Supervised 6 Master’s Thesis students in the field of computational mechanics.

Research Interests 🔬

  • Microstructure reconstruction algorithms
  • Constitutive modeling
  • Surrogate modeling using machine learning
  • Microstructure segmentation algorithms

Research Experience  ON Algorithm Development 🧑‍🔬

  • Research Associate – University of Applied Sciences, Darmstadt (Sept 2024 – Present)
    Focus: Conductive polymer composites & microstructure algorithms

  • Scientific Assistant – University of Applied Sciences, Darmstadt (Dec 2019 – Aug 2024)
    Focus: Porous ceramics, fracture modeling, and transfer learning-based neural networks

  • Research Assistant – Karlsruhe Institute of Technology (Sept 2012 – Mar 2013)
    Focus: Topology optimization of carbon-carbon composites

  • Research Assistant – IIT Delhi (June 2012 – Aug 2012)
    Focus: Elastic properties of carbon-carbon composites

Industry Experience 🏭

  • Analyst – Vehicle Dynamics Simulation, Hero MotoCorp (Aug 2013 – Dec 2019)
    Focus: Multibody simulations, vehicle dynamics, stability, ride-comfort, and braking systems
  • Trainee – Computer Aided Engineering, Tata Technologies Ltd (July 2010 – July 2011)
    Focus: Mesh modeling of four-wheelers for safety and durability analysis

Technical Skills 💻

  • Advanced simulation software
  • Computational algorithms for material modeling
  • Finite Element Analysis (FEA) and multibody dynamics simulations
  • Machine learning for data-driven modeling

Top Notes Publications 📚

Biaxial compression failure of brittle foams: A transfer learning-based strategy
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Procedia Structural Integrity
    • Year: 2024
Numerical Strategies to Study Compression Failure in Brittle Foams with 3D Realistic Microstructures
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Advanced Structured Materials
    • Year: 2024
Numerical studies of the elastic properties of ceramic foam by creation of the artificial microstructures after processing of computed tomographic images
    • Authors: Romana Piat; Vinit Vijay Deshpande
    • Journal: AIP Conference Proceedings
    • Year: 2023
Compression failure of porous ceramics: A computational study about the effect of volume fraction on damage evolution and failure
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Mechanics of Materials
    • Year: 2023
Application of statistical functions to the numerical modelling of ceramic foam: From characterisation of CT-data via generation of the virtual microstructure to estimation of effective elastic properties
    • Authors: Vinit Vijay Deshpande; Kay André Weidenmann; Romana Piat
    • Journal: Journal of the European Ceramic Society
    • Year: 2021

Salome Hauger | Spatial Data Analysis | Best Scholar Award

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Mrs. Salome Hauger | Spatial Data Analysis | Best Scholar Award

Fraunhofer ISE | Germany

Publication Profile

Scopus
Orcid

BIOGRAPHY OF MRS. SALOME HAUGER 🌱📚

INTRODUCTION 🌍

Salome Hauger is an accomplished project manager and PhD student specializing in the field of agrivoltaics at the Fraunhofer Institute for Solar Energy Systems (Fraunhofer ISE). She has demonstrated an exceptional combination of technical expertise and research passion, contributing significantly to the sustainability of energy solutions. Her academic and professional journey has been shaped by her dedication to environmental sciences and renewable energy.

EARLY ACADEMIC PURSUITS 🎓

Salome Hauger’s academic journey began with her undergraduate studies in Geography at the University of Freiburg im Breisgau, where she earned her Bachelor of Science degree in 2016. Her keen interest in environmental sciences led her to pursue a Master of Science degree in Environmental Sciences, which she completed in 2019. Throughout her studies, she developed a strong foundation in geographic information systems (GIS) and remote sensing, setting the stage for her future career in environmental research and innovation.

PROFESSIONAL ENDEAVORS 👩‍💼

After completing her studies, Salome embarked on a professional path that included a variety of internships and student assistant roles, demonstrating her eagerness to gain hands-on experience. She worked at renowned organizations such as Airbus Defence and Space, the German Aerospace Center, and the German Environmental Aid. These positions allowed her to apply her academic knowledge in real-world contexts, particularly in the fields of meteorology, remote sensing, and climate protection.

In 2020, Salome joined the Fraunhofer Institute for Solar Energy Systems (Fraunhofer ISE), where she took on the role of Project Manager in Agrivoltaics while simultaneously pursuing her PhD. Her focus in this innovative field aligns with global goals to enhance sustainable energy production by combining solar energy with agricultural land use.

CONTRIBUTIONS AND RESEARCH FOCUS  ON  Spatial Data Analysis 🔬

Salome Hauger’s research and contributions have been pivotal in the development and advancement of agrivoltaics—a field that integrates solar power generation with agricultural production. Her work addresses the pressing need for sustainable energy solutions that do not compromise agricultural land. As a PhD student, she has focused on optimizing the synergy between photovoltaic systems and crop cultivation, aiming to create more sustainable energy solutions for the future.

Her work has furthered the understanding of how solar panels can be integrated into agricultural landscapes without harming crop yields, contributing to the broader goal of achieving environmental sustainability through renewable energy sources.

IMPACT AND INFLUENCE 🌟

Salome’s influence extends beyond her immediate academic and professional circles. As a researcher at the Fraunhofer Institute, she has made substantial contributions to the understanding of agrivoltaics and its potential to reduce land-use conflicts while simultaneously addressing the global energy demand. Her research is instrumental in shaping the future of clean energy solutions and sustainable agricultural practices.

Her interdisciplinary work at the intersection of environmental science, technology, and agriculture positions her as a key figure in the renewable energy sector.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

While Salome’s academic publications are still emerging as she continues her PhD, she has already contributed to several influential research papers and reports. These publications are likely to expand her recognition in the field, especially as agrivoltaics gains more global attention for its ability to support both energy production and agriculture.

Her work is cited in multiple academic and industry circles, and she continues to publish as part of her ongoing research at Fraunhofer ISE.

HONORS & AWARDS 🏆

Salome Hauger’s academic and professional achievements have not gone unnoticed. She has received recognition for her dedication to sustainability and innovation in the renewable energy sector. Her position as a project manager and PhD student at Fraunhofer ISE speaks to the value of her contributions to the development of agrivoltaics.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Salome’s future contributions to the field of agrivoltaics are anticipated to expand, as the global demand for renewable energy solutions continues to rise. Her ongoing research has the potential to reshape how we view the relationship between energy production and agriculture, offering innovative solutions to address land-use challenges. As she advances in her career, her legacy will undoubtedly inspire future generations of researchers and environmental advocates.

FINAL NOTE ✨

Salome Hauger is poised to make an enduring impact on the world of sustainable energy. Her contributions to agrivoltaics and her commitment to advancing clean energy solutions place her in a unique position to influence the trajectory of global renewable energy initiatives. As she continues her research, her legacy will be defined by her commitment to integrating environmental sustainability with technological advancement.

TOP NOTES PUBLICATIONS 📚

Spatial potential analysis and site selection for agrivoltaics in Germany
  • Authors: Salome Hauger, Vanessa Lieb, Rüdiger Glaser
  • Journal: Renewable and Sustainable Energy Reviews
  • Year: 2025

Omar Haddad | Artificial Intelligence | Best Researcher Award

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Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

💼 Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

📚 Contributions and Research Focus

Dr. Haddad’s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

🌟 Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

🛠️ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

👨‍🏫 Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

🏛️ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

🌐 Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

📖 Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024

Shubing Dai | Algorithm Development | Best Researcher Award

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Prof. Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai at Northwest A&F University, China

Professional Profile👨‍🎓

👨‍🏫 Summary

Prof. Shubing Dai is an Associate Professor at Northwest A&F University, specializing in Hydraulic Engineering. With a background in Hydraulics and River Dynamics, he has published over 20 research papers and actively participated in over 20 research projects. His work primarily focuses on urban flood management, hydraulic structures, and water flow dynamics. He is also an active member of key professional organizations, including the China Society for Hydroelectric Engineering and the International Association for Hydro-Environment Engineering and Research (IAHR).

🎓 Education

Prof. Dai began his academic career at Northwest A&F University, where he earned his Bachelor’s (2008–2012) and Master’s (2012–2015) degrees in Hydraulic and Hydroelectric Engineering. He then pursued a Ph.D. in Hydraulics and River Dynamics at Dalian University of Technology (2016–2021). Additionally, he worked as a visiting scholar at the University of La Coruña in Spain (2024).

💼 Professional Experience

Prof. Dai has extensive professional experience, both in academia and industry. He currently serves as an Associate Professor at Northwest A&F University and the Department Secretary of the Hydraulic Engineering Department. He also previously worked as an Assistant Engineer at the Changjiang Survey, Planning, and Design Institute (2015–2016), contributing to several major hydropower and hydraulic engineering projects.

📚 Academic Contributions

Prof. Dai is an active contributor to the academic community, serving as a reviewer for several leading journals such as Journal of Hydrology and Physics of Fluids. He also serves as an editorial board member for an international journal. His research focuses on water resources, hydraulic structures, and flow dynamics, with over 20 published papers and several high-impact research projects.

🔧 Technical Skills

Prof. Dai has developed a range of technical skills, including:

  • Hydraulic Engineering: Focus on energy dissipation and optimization of flood discharge systems.
  • Urban Flooding & Drainage: Expertise in urban drainage system design, stormwater management, and flood mitigation.
  • Flow Dynamics: Proficient in Computational Fluid Dynamics (CFD) and non-steady flow simulations for hydraulic applications.
  • Hydropower Engineering: In-depth research on dam-break flood modeling, hydraulic structures, and their interactions with water flow.

👩‍🏫 Teaching Experience

As a dedicated educator, Prof. Dai mentors master’s students and teaches courses on fluid dynamics, hydraulic modeling, and water resource management. He is also responsible for the administration of the Water Resources and Hydroelectric Engineering department at Northwest A&F University, playing a key role in curriculum development and academic planning.

🔬 Research Interests

Prof. Dai’s research interests are focused on:

  • Hydraulic Engineering: Research on energy dissipation in hydraulic structures and optimization of flood discharge processes.
  • Flood Disaster Management: Urban flood management, drainage systems, and dam-break flood evolution.
  • Non-steady Flow & Hydrodynamics: Investigating the dynamics of free-surface flows, wave behavior, and non-constant flow conditions in hydraulic systems.

🔍 Research Projects

Prof. Dai leads and participates in several important research projects, such as:

  • City Flood and Drainage Systems Simulation (2022–2025)
  • Optimization of Urban Drainage Under Extreme Rainfall Conditions (2023–2025)
  • Dam-Break Flood Evolution and Structural Interaction Studies (2024–2026)
    He is also involved in national and regional projects on hydraulic structure optimization, flood forecasting, and water resource management.

 

📖Top Noted Publications

Numerical study of roll wave development for non-uniform initial conditions using steep slope shallow water equations

Authors: Dai, S., Liu, X., Zhang, K., Liu, H., Jin, S.
Journal: Physics of Fluids
Year: 2024

Discharge coefficients formulae of grate inlets of complicated conditions for urban floods simulation and urban drainage systems design

Authors: Dai, S., Hou, J., Jin, S., Hou, J., Liu, G.
Journal: Journal of Hydrology
Year: 2023

Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures

Authors: Dai, S., Ma, Y., Zhang, K.
Journal: International Journal of Environmental Research and Public Health
Year: 2022

Numerical investigations of unsteady critical flow conditions over an obstacle using three models

Authors: Dai, S., Jin, S.
Journal: Physics of Fluids
Year: 2022

Interception efficiency of grate inlets for sustainable urban drainage systems design under different road slopes and approaching discharges

Authors: Dai, S., Jin, S., Qian, C., Ma, Y., Liang, C.
Journal: Urban Water Journal
Year: 2021

Susan Stead | Technology Innovation | Best Researcher Award

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Dr. Susan Stead , Technology Innovation, Best Researcher Award

Doctorate at RWTH University, Institute for Technology and Innovation Management, Germany

Google Scholar Profile
Scopus Profile

🌟Summary

Dr. Susan Stead is an Assistant Professor at RWTH Aachen University, specializing in Healthcare and Service Innovation. She serves as Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Her interdisciplinary research focuses on multisensory customer service experiences and the integration of artificial intelligence in healthcare.

🎓Education

  • Ph.D., Maastricht University, the Netherlands, 2020 Dissertation: “The Power of Senses: Unraveling Multisensory Customer Service Experiences”
  • M.Sc., International Business – Strategic Marketing (cum laude), Maastricht University, the Netherlands, 2014
  • B.B.A., Business Administration, Zuyd University of Applied Science, Maastricht, the Netherlands, 2013

💼 Professional Experience

Dr. Susan Stead brings over a decade of expertise in academia and research, currently serving as an Assistant Professor at RWTH Aachen University. Since joining RWTH Aachen in 2020, she has held pivotal roles including Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Dr. Stead’s career is marked by her leadership in interdisciplinary research, focusing on healthcare and service innovation. She has played a crucial role in advancing the understanding of multisensory customer service experiences and integrating artificial intelligence into healthcare practices. Her contributions extend to mentoring young talents in AI through her involvement with AI Grid and serving as a faculty board member at RWTH Aachen University.

🔬 Research Interests

Dr. Susan Stead’s research interests span the domains of healthcare and service innovation, with a particular emphasis on multisensory customer experiences and the application of artificial intelligence in healthcare settings. Her work explores how sensory modalities impact customer interactions and satisfaction, aiming to enhance service delivery across various industries. Dr. Stead is also passionate about digital transformation in service sectors, investigating how emerging technologies can optimize operational efficiencies and improve patient care outcomes. Her interdisciplinary approach integrates insights from service design, innovation management, and AI ethics, contributing to the development of future-focused strategies in healthcare innovation.

📖 Publication Top Noted

Application of artificial intelligence systems in the emergency room: Do the communication patterns give indications for possible starting points? An observational study

    • Authors: Tjardes, T., Meyer, L.M., Lotz, A., Stead, S., Walossek, N.
    • Journal: Unfallchirurgie (Germany)
    • Volume: 126
    • Issue: 7
    • Pages: 552–558
    • Year: 2023

Hospital resource endowments and nosocomial infections: longitudinal evidence from the English National Health Service on Clostridioides difficile between 2011 and 2019

    • Authors: Stead, S., Vogt, L., Antons, D., Klasen, M., Sopka, S.
    • Journal: Journal of Hospital Infection
    • Volume: 134
    • Pages: 129–137
    • Year: 2023

It is Really Not a Game: An Integrative Review of Gamification for Service Research

    • Authors: Ciuchita, R., Heller, J., Köcher, S., Sidaoui, K., Stead, S.
    • Journal: Journal of Service Research
    • Volume: 26
    • Issue: 1
    • Pages: 3–20
    • Year: 2023

The Inscrutable New Actor: An Employee Perspective on the Flipside of AI

    • Authors: Stead, S.
    • Conference: International Conference on Information Systems (ICIS 2023)
    • Year: 2023

Toward Multisensory Customer Experiences: A Cross-Disciplinary Bibliometric Review and Future Research Directions

    • Authors: Stead, S., Wetzels, R., Wetzels, M., Odekerken-Schröder, G., Mahr, D.
    • Journal: Journal of Service Research
    • Volume: 25
    • Issue: 3
    • Pages: 440–459
    • Year: 2022

Mr. Benjamin Borketey | Machine Learning for fraud detection | Global Data Innovation Recognition Award

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Mr. Benjamin Borketey, Machine Learning for fraud detection, Global Data Innovation Recognition Award

Mr. Benjamin Borketey at First Citizens Bank, United States

Professional Profile

Orcid Profile

Summary of Skills

Over 5 years of experience in Data Analytics, Economic Forecasting, Time Series Modelling, Statistical Modelling, Machine Learning, and Data Management.

Professional Experience

Risk Analyst III, First Citizens Bank, NC
October 2023 to Date

  • Independently validate financial crime models (AML, fraud), probability of default (PD), loss given default (LGD), and exposure at default (EAD) for commercial and industrial portfolios.
  • Provide effective challenges, mitigate model risks, and produce comprehensive validation reports.

Quant Model Analyst, U.S Bank, NC
August 2021-September 2023

  • Perform complex mathematical analysis using statistical methods and machine learning techniques.
  • Build and validate fraud detection models and interpret statistical findings for senior management.

Quant Model Analyst, Flagstar Bank, MI
January 2018-August 2021

  • Validate bank-wide models and prepare reports for senior management and regulators.
  • Analyze large datasets to provide strategic insights.

Education

Purdue University
Post Graduate Program in AI and Machine Learning, August 2022

The University of Akron, Ohio
Master of Arts in Economics, December 2017

University of Cape Coast
Bachelor of Arts in Economics and Mathematics, May 2014

Professional Association

  • Association of Data Scientists
  • International Society for Data Science and Analytics (ISDSA)
  • Data Visualization Society
  • Institute of Electrical and Electronics Engineers (Computer Science Society)

Certification Awards

  • Economic Data Analytics Certificate, SAS Institute

Conference Presentation

  • Presented at Global Insight Conference on Artificial Intelligence, 2024
  • International Society for Data Science and Analytics, 2024

Certifications

  • Statistics Essential for Data Science (Simplilearn)
  • Introduction to Artificial Intelligence
  • Python for Data Science (Simplilearn)
  • Data Science with Python (Simplilearn)
  • Machine Learning (Simplilearn)
  • Deep Learning with TensorFlow and Keras (Simplilearn)
  • Advance Deep Learning and Computer Vision (Simplilearn)
  • SAS Certificate in Economics (SAS Institute)
  • Certified Peer Reviewer (Elsevier)

📖 Publication Top Noted

  • How hourly wage and the probability of committing a crime ( May 2024).

  • Real-Time Fraud Detection Using Machine Learning. ( May 2024).