Cinzia Battistella | Business | Sustainable Engineering Leadership Award

Prof. Cinzia Battistella | Business | Sustainable Engineering Leadership Award

professor at University of Udine, Italy

Cinzia Battistella is an Associate Professor of Management Engineering at the Polytechnic Department of Engineering and Architecture at the University of Udine, a position she has held since October 2018. With an academic background grounded in excellence and a progressive career spanning prominent academic institutions, she has established herself as a leader in the fields of strategy and innovation management. Her academic journey began with a Bachelor’s degree in Management Engineering from the University of Udine in 2004, followed by a Master’s degree in 2007 with top honors. She earned her PhD in Management Engineering and Quantity Surveying at the University of Padova in 2011. Her research focuses on strategic and organizational challenges in complex, uncertain environments, particularly through the lenses of innovation and strategic foresight. With over 100 publications in highly reputed international journals, she has contributed significantly to the scientific community. Additionally, she has authored two international books and actively leads collaborative initiatives across Europe, including a Special Interest Group on Strategic Foresight. Her work with public and private sector stakeholders underscores her applied approach to academic research. With a keen focus on future-oriented strategies and innovation ecosystems, she remains a driving force in shaping the evolution of management engineering.

Professional Profile

Education

Cinzia Battistella’s educational background reflects a steadfast commitment to academic excellence and a solid foundation in engineering and management sciences. She began her academic journey at the University of Udine, where she earned her Bachelor’s degree in Management Engineering in 2004. Demonstrating outstanding academic potential, she went on to complete her Master’s degree in the same field at the University of Udine in 2007, graduating with the maximum grade of 110/110. Her pursuit of advanced knowledge led her to the University of Padova, where she was awarded a PhD in Management Engineering and Quantity Surveying in 2011 as part of the XXIII PhD cycle. Her doctoral research marked the beginning of her in-depth exploration into the complex dynamics of strategic and innovation management. This educational trajectory not only equipped her with a strong theoretical and analytical toolkit but also cultivated her interest in solving real-world organizational and strategic challenges. Her academic training laid the groundwork for a distinguished research and teaching career and remains the cornerstone of her multidisciplinary approach, which bridges engineering principles with managerial and strategic foresight in uncertain and dynamic environments.

Professional Experience

Cinzia Battistella’s professional career spans academic and research institutions, where she has contributed significantly to both teaching and applied research. She began her professional journey as a research fellow at Area Science Park from 2007 to 2010, where she engaged in early-stage innovation research. From 2010 to 2013, she worked at the University of Udine’s Department of Electrical, Management, and Mechanical Engineering, continuing to build her expertise. She was appointed Assistant Professor at the Free University of Bozen-Bolzano from 2013 to 2016, where she also served in academic leadership roles. From 2016 to 2018, she held an Associate Professorship at the University of Siena’s Department of Information Engineering and Mathematical Sciences. Since 2018, she has been Associate Professor at the University of Udine, teaching courses such as Complexity Management, Innovation Management, and Project Management in master’s programs. She has coordinated numerous research projects, collaborated with leading companies like Telecom Italia and Illycaffè, and held strategic roles, including scientific coordination of a master’s program. Her professional path reflects a consistent trajectory of academic growth, project leadership, and impactful collaboration with both public and private stakeholders across national and international contexts.

Research Interest

Cinzia Battistella’s research is deeply rooted in the study of strategy and innovation management, particularly as they relate to organizations operating in highly uncertain and complex environments. Her work emphasizes the dual themes of open and collaborative innovation and strategic foresight, seeking to address how companies can adapt and thrive amidst technological disruption and market volatility. Key areas of focus include the development of new products and services, the evolution of business models, and the formation of business ecosystems. She is especially interested in how organizations build strategic agility and future orientation to maintain competitiveness. Her research intersects with complexity theory, exploring how firms manage non-linear, dynamic systems in their decision-making processes. Through empirical studies, theoretical frameworks, and applied methodologies, Battistella contributes to a broader understanding of innovation governance, organizational adaptability, and long-term strategic planning. She has developed cross-disciplinary approaches, integrating insights from engineering, social science, and business strategy. Her passion for advancing strategic thinking has led her to co-found a European Special Interest Group on foresight and agility. As such, her research continues to shape the discourse around how firms can navigate complexity and seize opportunities for sustainable innovation.

Research Skills

Cinzia Battistella possesses a robust set of research skills developed through years of interdisciplinary work in management engineering. Her methodological expertise spans both qualitative and quantitative approaches, including case studies, foresight methodologies, innovation audits, scenario analysis, and systems thinking. She has demonstrated proficiency in designing and managing large-scale research projects funded by competitive grants and partnerships with private and public institutions. Her strong analytical capabilities enable her to model complex organizational systems and derive actionable insights from multifaceted data. She is particularly skilled in translating theoretical constructs into practical frameworks, helping firms strategize around innovation and complexity. Battistella is also adept in research dissemination, having published extensively in high-impact journals and presented her work in international forums. Her ability to lead collaborative research is evident in her supervision of PhD students, research fellows, and associates, fostering a vibrant research environment. Additionally, her experience in coordinating European and national research networks has strengthened her collaborative and project management skills. These research capabilities not only enhance her academic output but also reinforce her engagement with industry stakeholders, bridging the gap between theory and practice through evidence-based strategies and applied innovation models.

Awards and Honors

Throughout her academic and professional journey, Cinzia Battistella has earned several distinctions that reflect her excellence in research, teaching, and service to the academic community. Her academic achievements began with the conferral of the maximum grade in her Master’s degree program, highlighting her scholarly dedication. She has held prestigious research fellowships and appointments across top Italian universities, underscoring her recognized expertise in management engineering. Her extensive publication record in top-tier journals and the authorship of two international books have cemented her reputation as a thought leader in strategic foresight and innovation. Beyond individual achievements, she has played a key role in institutional quality assurance, serving on the Quality Presidium at the University of Udine and formerly at the Free University of Bozen-Bolzano. She has also taken on leadership roles such as scientific coordinator of the Master in Innovation Management at the University of Udine. Her collaborative initiatives with global firms like Vodafone and Illycaffè have further showcased her applied impact. Moreover, her contribution as an expert advisor on management engineering for the Friuli Venezia Giulia recovery plan highlights her role in regional development and policy impact, attesting to her broad influence in both academic and applied contexts.

Conclusion

Cinzia Battistella’s career embodies the intersection of academic rigor, innovative research, and impactful collaboration. As an Associate Professor at the University of Udine, she has built a multidisciplinary portfolio that connects strategy, foresight, and innovation within complex systems. Her educational foundation, combined with a decade-plus of teaching and research across prominent institutions, demonstrates her unwavering commitment to advancing management engineering. Through her publications, leadership in special interest groups, and mentorship of emerging scholars, she has helped shape the direction of contemporary research in strategic foresight and innovation ecosystems. Equally adept in academia and applied research, she has bridged theoretical models with real-world challenges, engaging industry partners and public organizations to co-create knowledge. Her contributions to quality assurance, curriculum development, and regional policy reflect her broader institutional impact. As a scholar and leader, Battistella continues to inspire through her integrative approach, guiding organizations and students alike in navigating the future. Her work not only enriches academic discourse but also provides actionable insights for navigating complexity and embracing innovation in an ever-changing global environment.

Publications Top Notes

  1. Title: Charting the temporal evolution of stakeholder involvement in business model for sustainability: A comprehensive bibliometric review

    • Authors: Giovanna G. Attanasio, Cinzia C. Battistella

  2. Title: B-Corp Certification: Systematic Literature Review and Research Agenda

    • Authors: Giovanna G. Attanasio, Cinzia C. Battistella, Elia E. Chizzolini

  3. Title: Future ecosystem business model tool: Design science and field test in the efuel ecosystem towards the sustainability transition

    • Authors: Giovanna G. Culot, Cinzia C. Battistella

    • Year: 2024

    • Citations: 1

  4. Title: How do seaports use foresight to face environmental sustainability disruptions?

    • Authors: Giovanna G. Attanasio, Cinzia C. Battistella, Elia E. Chizzolini

    • Year: 2024

  5. Title: The impact of cultural dimensions on project management performance

    1. Authors: Cinzia C. Battistella, Thomas T. Bortolotti, Stefania S. Boscari, Fabio F. Nonino, Giulia G. Palombi

    2. Year: 2024

    3. Citations: 7

Stephen Afrifa | Climate Action | Best Researcher Award

Mr. Stephen Afrifa | Climate Action | Best Researcher Award

Researcher at University of Energy and Natural Resources, Ghana

Dr. Stephen Afrifa is a dedicated scientific researcher with a passion for innovation, climate science, and technology-driven solutions. With extensive experience in artificial intelligence, machine learning, data science, and geospatial techniques, he applies computational methods to address pressing global challenges, including climate change, public health, and cybersecurity. As a lecturer at the University of Energy and Natural Resources (UENR), he mentors students while leading cutting-edge research initiatives. Dr. Afrifa is also actively engaged in software development, project management, and academic publishing. His strong analytical skills, problem-solving abilities, and leadership in research make him a key figure in advancing knowledge in his field. He has contributed significantly to academia through numerous peer-reviewed publications, conference presentations, and collaborations with international researchers. His commitment to climate activism and educational outreach highlights his dedication to using technology for societal good.

Professional Profile

Education

Dr. Afrifa is currently pursuing a Ph.D. in Information and Communication Engineering at Tianjin University, China, with a focus on speech enhancement, deep learning, and signal processing. He holds a Master of Science in Engineering (Information and Communication Engineering) from the same institution, where he explored machine learning models for climate change analysis. He earned his Bachelor of Science in Information Technology (First Class Honors) from the University of Energy and Natural Resources (UENR), Ghana. His academic foundation is further strengthened by a background in the sciences from Kumasi High School, where he studied Biology, Chemistry, Physics, and Mathematics. Throughout his education, Dr. Afrifa has demonstrated excellence in research, earning prestigious scholarships and academic awards.

Professional Experience

Dr. Afrifa has held various roles in academia and industry. Currently, he is a lecturer at UENR’s Department of Information Technology and Decision Sciences, where he teaches, supervises research, and contributes to faculty projects. Previously, he worked as a senior research assistant in the same department, assisting in student supervision, research design, and data analysis. He has also served as a software application developer and research lead at CY Technologies, where he designed and developed software solutions while leading research initiatives. His experience includes roles in IT support, national service, and research internships, where he contributed to innovative projects such as fire detection systems and AI-driven business solutions. His multidisciplinary expertise spans IT, machine learning, geospatial analysis, and cybersecurity.

Research Interests

Dr. Afrifa’s research focuses on artificial intelligence, machine learning, data science, geospatial analysis, and climate change modeling. He is particularly interested in applying deep learning techniques to areas such as medical imaging, speech recognition, cybersecurity, and environmental monitoring. His work explores the intersection of AI and sustainability, using computational models to assess climate change impacts on groundwater levels and natural disasters. Additionally, he has contributed to studies on public sentiment analysis, network security, and disease detection using AI-driven techniques. His diverse research interests reflect a commitment to leveraging technology for problem-solving and innovation.

Research Skills

Dr. Afrifa is proficient in various programming languages, including Python, R, C/C++, Java, HTML5, JavaScript, and PHP. He has expertise in statistical and AI-based tools such as SPSS, NVIVO, GIS, and GenStat. His skills extend to network security, data analysis, cloud computing, and enterprise resource planning (ERP) systems. He is adept at designing and implementing AI models for predictive analytics, classification, and decision-making. His experience in mentoring students, leading research teams, and publishing in high-impact journals further solidifies his reputation as a skilled researcher. Additionally, his ability to integrate AI, machine learning, and geospatial techniques in real-world applications makes him a valuable contributor to the scientific community.

Awards and Honors

Dr. Afrifa has been recognized for his academic and research excellence. He was awarded the Best Graduating Student in the Department of Computer Science and Informatics at UENR in 2020. He was also a recipient of the Absa Tertiary Scholarship from 2017 to 2020. His research contributions have led to invitations as a peer reviewer for several reputable journals, including those published by Elsevier, Springer, and Emerald. His work has been presented at international conferences, further solidifying his status as a thought leader in his field. His achievements underscore his dedication to advancing knowledge and innovation through rigorous scientific inquiry.

Conclusion

Dr. Stephen Afrifa’s impressive academic and professional journey demonstrates his commitment to research, innovation, and education. His expertise in artificial intelligence, machine learning, climate science, and cybersecurity enables him to address complex global challenges through technology. As a researcher, educator, and mentor, he continues to inspire students and collaborate with international scholars to push the boundaries of scientific discovery. His numerous publications, leadership roles, and industry experience position him as a strong candidate for the Best Researcher Award. His dedication to research excellence, combined with his problem-solving skills and contributions to knowledge, make him a deserving recipient of this recognition.

Publications Top Notes

  1. Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis

    • Authors: S Afrifa, T Zhang, P Appiahene, V Varadarajan
    • Year: 2022
    • Citations: 62
  2. Detection of anemia using conjunctiva images: A smartphone application approach

    • Authors: P Appiahene, EJ Arthur, S Korankye, S Afrifa, JW Asare, ET Donkoh
    • Year: 2023
    • Citations: 32
  3. Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computers

    • Authors: S Afrifa, V Varadarajan, P Appiahene, T Zhang, EA Domfeh
    • Year: 2023
    • Citations: 31
  4. VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends

    • Authors: WK Adu, P Appiahene, S Afrifa
    • Year: 2023
    • Citations: 26
  5. Cyberbullying detection on Twitter using natural language processing and machine learning techniques

    • Authors: S Afrifa, V Varadarajan
    • Year: 2022
    • Citations: 21
  6. Application of ensemble models approach in anemia detection using images of the palpable palm

    • Authors: P Appiahene, SSD Dogbe, EEY Kobina, PS Dartey, S Afrifa, ET Donkoh, …
    • Year: 2023
    • Citations: 13
  7. Analyzing sentiments towards e-levy policy implementation in Ghana using Twitter data

    • Authors: P Appiahene, S Afrifa, EK Akwah, A Choudhry, I Khatri, C Raj, M Prasad
    • Year: 2024
    • Citations: 10
  8. Climate change impact assessment on groundwater level changes: A study of hybrid model techniques

    • Authors: S Afrifa, T Zhang, X Zhao, P Appiahene, MS Yaw
    • Year: 2023
    • Citations: 8
  9. Using Machine Learning to Classify Network Abnormalities into Legitimate or Assault in IoT-based Cyber Physical System

    • Authors: S Afrifa, V Varadarajan, P Appiahene, T Zhang
    • Year: 2023
    • Citations: 5
  10. Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches

  • Authors: P Appiahene, V Varadarajan, T Zhang, S Afrifa
  • Year: 2023
  • Citations: 5

Yunfei Han | Greenhouse Gas | Best Researcher Award

Dr. Yunfei Han | Greenhouse Gas | Best Researcher Award

Student at University of Science and Technology of China, China

Yunfei Han is a dedicated researcher specializing in satellite-based greenhouse gas monitoring and detection technologies. At 30 years old, Yunfei has already contributed significantly to environmental science through his work with advanced instrumentation on the GaoFen-5 satellite series. A party member from Anhui, Yunfei possesses strong analytical skills and a hands-on approach to research. He is detail-oriented, responsible, and highly motivated, with a deep passion for problem-solving and innovation. With a background in both physics and automation, he has excelled in high-level collaborative research projects, earning prestigious awards and publishing in renowned journals. Yunfei is constantly pushing himself to make daily progress, driven by perseverance and a thirst for learning. His research has the potential to make substantial contributions to environmental monitoring and sustainability.

Professional Profile

Education

Yunfei Han has pursued a rigorous academic path, beginning with a bachelor’s degree in Automation from Anhui Normal University, completed in July 2016. Following this, he earned a second bachelor’s degree in Detection Technology and Automation Equipment from the University of Science and Technology of China in June 2019. Yunfei then continued his studies at the same university, where he has been working toward a Master’s degree in Physics since June 2019. His education provided him with a strong theoretical background, particularly in the areas of detection technologies and instrumentation, which has equipped him for his advanced research into greenhouse gas monitoring. Yunfei’s commitment to his education and continual learning has allowed him to develop the scientific foundation necessary for tackling complex research challenges.

Professional Experience

Throughout his career, Yunfei Han has demonstrated a deep commitment to research and innovation, particularly in the field of environmental monitoring. His professional experience centers around his work on the GaoFen-5B satellite, where he has played a key role in the development of advanced greenhouse gas monitoring instruments. Yunfei has worked extensively on the on-orbit spectral calibration and instrumental line shape functions, showcasing his technical proficiency in cutting-edge satellite technologies. His research also involves extensive data processing and retrieval technology, contributing to significant national projects, including the National High-Resolution Earth Observation Program. In addition to his research, Yunfei has been involved in various collaborative projects, where he worked with multidisciplinary teams to advance satellite-based environmental technologies.

Research Interests

Yunfei Han’s research interests focus on the development of advanced detection technologies for satellite-based environmental monitoring. His primary area of expertise lies in the monitoring of greenhouse gases through hyperspectral and remote sensing technologies. Yunfei is particularly interested in refining on-orbit calibration methods to improve the precision of satellite instruments, which are critical for accurate environmental assessments. His research also explores data retrieval technologies for satellites, with a specific focus on enhancing the performance of the GaoFen-5 satellite series. By leveraging his background in automation and physics, Yunfei aims to develop cutting-edge instruments that contribute to global efforts in climate change mitigation. His passion for this field is driven by a strong sense of social responsibility and the desire to tackle environmental challenges through innovation.

Research Skills

Yunfei Han is skilled in a variety of technical and research methodologies that are essential for advanced environmental monitoring. He has extensive expertise in the design and calibration of satellite-based instruments, particularly those used for detecting greenhouse gases. His work on the GaoFen-5B satellite has honed his skills in on-orbit spectral calibration and the development of instrumental line shape functions, both crucial for ensuring the accuracy of satellite data. Yunfei is also proficient in hyperspectral data processing and retrieval technologies, which are key components in satellite-based environmental monitoring systems. Additionally, he is adept at using office automation software and has strong analytical abilities that allow him to solve complex technical problems efficiently. His hands-on approach and willingness to take on challenges make him a versatile and innovative researcher.

Awards & Honors

Yunfei Han’s contributions to the field of environmental monitoring have been recognized through various awards and honors. In 2023, he received the Provincial and Ministerial Second Prize for his work on the National High-Resolution Earth Observation Program, where his efforts contributed to the development of hyperspectral greenhouse gas payload data processing and retrieval technology. His research on the GaoFen-5 satellite has also been published in prestigious journals like Applied Optics and Remote Sensing, further solidifying his reputation as a promising researcher in his field. Yunfei’s work on high-profile national projects demonstrates his ability to contribute to significant advancements in satellite technologies, and his dedication to pushing the boundaries of environmental research continues to earn him recognition.

Conclusion

Yunfei Han is a highly suitable candidate for the Best Researcher Award, especially within the field of environmental monitoring and satellite instrumentation. His strong academic background, impactful publications, and recognition through prestigious awards make him a compelling candidate. However, to further strengthen his case, he could benefit from showcasing more leadership in research projects and expanding the breadth of his research. His dedication to progress, problem-solving, and meeting challenges will serve him well in future research endeavors.

Publication Top Note

  • Research on Calculation Method of On-Orbit Instrumental Line Shape Function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B Satellite
    • Authors: Han, Y., Shi, H., Luo, H., Xiong, W., Hou, C.
    • Year: 2024
    • Journal: Remote Sensing, 16(12), 2171
  • A Novel Framework for Mixed Noise Removal From Greenhouse Gases Monitoring Instrument (GMI) Interferogram Images on GF5-02 Satellite
    • Authors: Zhu, F., Shi, H., Xiong, W., Sun, X., Wu, S.
    • Year: 2024
    • Journal: IEEE Transactions on Geoscience and Remote Sensing, 62, 5524515
  • Quantitative Analysis of Mixtures Based on Portable Spatial Heterodyne Raman Spectrometer
    • Authors: Bai, Y., Luo, H., Li, Z., Han, Y., Xiong, W.
    • Year: 2024
    • Journal: Analytical Letters, 57(13), 2018–2033
  • Greenhouse Gas Monitoring Instrument on the GF-5 Satellite-II: On-Orbit Spectral Calibration
    • Authors: Han, Y., Shi, H., Li, Z., Xiong, W., Hu, Z.
    • Year: 2023
    • Journal: Applied Optics, 62(22), 5839–5849
  • Greenhouse Gases Monitoring Instrument on a GF-5 Satellite-II: Correction of Spatial and Frequency-Dependent Phase Distortion
    • Authors: Wang, Q., Luo, H., Li, Z., Han, Y., Xiong, W.
    • Year: 2023
    • Journal: Optics Express, 31(2), 3028–3045
  • Correction of Invalid Data Based on Spatial Dimension Information of a Temporally and Spatially Modulated Spatial Heterodyne Interference Imaging Spectrometer
    • Authors: Ding, Y., Luo, H., Shi, H., Li, S., Xiong, W.
    • Year: 2021
    • Journal: Applied Optics, 60(22), 6614–6622
  • New Flat-Field Correction Method for Spatial Heterodyne Spectrometer
    • Authors: Ding, Y., Luo, H., Shi, H., Han, Y., Xiong, W.
    • Year: 2020
    • Journal