Anika Kozlowski | Environmental Science | Best Researcher Award

Dr. Anika Kozlowski | Environmental Science | Best Researcher Award

Toronto Metropolitan University | Canada

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Early Academic Pursuits

Dr. Anika Kozlowski embarked on her academic journey with a Bachelor of Science (BSc. Honours) in Microbiology/Psychology from the University of Manitoba in 2003. She continued her pursuit of knowledge with a Bachelor of Design (BDes.) in Fashion Design from Ryerson University in 2008. Building upon her foundation, she earned a Master of Applied Science (MASc.) in Environmental Applied Science and Management from Ryerson University in 2012, focusing on corporate social responsibility in the apparel industry. Dr. Kozlowski further delved into academia, obtaining her Ph.D. in Environmental Applied Sciences and Management from Ryerson University in 2019, with a dissertation on "The Responsible Fashion System: A Reconceptualization of the Role of Fashion Design."

Professional Endeavors

Dr. Kozlowski's professional journey has been marked by a commitment to sustainability, ethics, and innovation in the realm of fashion. She assumed the role of Assistant Professor of Fashion Design, Ethics & Sustainability at the School of Fashion, Toronto Metropolitan University in 2018, where she continues to inspire and educate students. Throughout her career, she has contributed extensively to academia through research, teaching, and mentorship.

Contributions and Research Focus

Dr. Kozlowski's scholarly contributions span various facets of sustainable fashion, environmental management, and corporate social responsibility. Her research focus revolves around sustainable fashion design, responsible consumption, and the intersection of fashion with environmental and social concerns. Through her publications, Dr. Kozlowski has explored tools for sustainable fashion design, corporate sustainability reporting in the apparel industry, and the role of fashion design in fostering sustainability.

Accolades and Recognition

Dr. Kozlowski's impactful work has garnered recognition and accolades from prestigious institutions and organizations. She has received numerous grants, awards, and honors, including the NSERC New Horizons grant, SSHRC Insight Grant, and Ontario Graduate Scholarship, among others. Her contributions have been acknowledged through invitations to speak at various conferences, universities, and industry events, solidifying her reputation as a thought leader in sustainable fashion.

Impact and Influence

Dr. Kozlowski's influence extends beyond academia, as she actively engages with industry professionals, policymakers, and the general public to advocate for sustainable practices in the fashion industry. Through her media appearances, consultations, and outreach initiatives, she strives to raise awareness about the environmental and social implications of fashion consumption while promoting ethical and sustainable alternatives.

Legacy and Future Contributions

Dr. Kozlowski's legacy lies in her dedication to reshaping the fashion industry towards a more sustainable and ethical future. Her ongoing research, teaching endeavors, and collaborative projects are poised to inspire future generations of designers, scholars, and activists to prioritize sustainability and responsible practices in fashion. As she continues her journey, Dr. Kozlowski remains committed to driving positive change and fostering a more sustainable fashion ecosystem.

Notable Publications

The role of resources in repair practice: Engagement with self, paid and unpaid clothing repair by young consumers 2022

Frugality, style longevity and garment repair – environmental attitudes and consumption behaviour amongst young Canadian fashion consumers 2022 (4)

Recontextualising and Appropriating Second-Hand Western Fashion Items in Non-Western Contexts 2021 (1)

Tools for Sustainable Fashion Design: An Analysis of Their Fitness for Purpose 2019 (29)

The reDesign canvas: Fashion design as a tool for sustainability 2018 (84)

 

 

 

Lei Wang | Energy | Innovation in Publishing Award

Dr. Lei Wang | Energy | Innovation in Publishing Award

Tsinghua University | China

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Early Academic Pursuits

Lei Wang embarked on his academic journey, earning a Bachelor's degree in Electrical Engineering from Yangtze University in 2015. He furthered his studies, completing a Master's degree at Hubei University of Technology in 2019 and earning his Ph.D. from Wuhan University in Electrical Engineering in 2023.

Professional Endeavors

Lei Wang delved into the realm of academia, contributing significantly to various research projects. His roles included postdoctoral research at Tsinghua University, focusing on machine learning applications in battery prognostics and health management. He demonstrated his expertise in anomaly detection, safety assessment, and predictive modeling for battery systems.

Contributions and Research Focus

Lei Wang made substantial contributions to the "Power IoTs" project, focusing on deep reinforcement learning for adaptive uncertainty economic dispatch in power systems. His innovative models addressed the complexities of economic dispatch, showcasing adaptability to uncertain conditions, particularly in renewable energy integration scenarios.

Accolades and Recognition

Lei Wang received recognition for his pivotal role in developing a deep reinforcement learning-based approach, enhancing economic dispatch in power systems. His work contributed to grid reliability and efficiency, demonstrating practical applicability in real-world scenarios, particularly in Tianjin's Binhai New Area.

Impact and Influence

Lei Wang's research has left a lasting impact on the field, advancing the understanding of power system optimization. His work not only contributes to academic knowledge but also has practical implications for improving the efficiency and reliability of power delivery and consumption.

Legacy and Future Contributions

Lei Wang's legacy includes pioneering work in machine learning applications for battery systems and economic dispatch in power systems. Looking ahead, his expertise in artificial intelligence, spatiotemporal correlation modeling, and power equipment diagnosis positions him as a key contributor to the evolving landscape of energy research. As an emerging leader in the field, Lei Wang is poised to continue making groundbreaking contributions to the energy sector.

Notable Publications

An Unsupervised Approach to Wind Turbine Blade Icing Detection Based on Beta Variational Graph Attention Autoencoder 2023

Wind turbine blade icing risk assessment considering power output predictions based on SCSO-IFCM clustering algorithm 2024

A novel approach to ultra-short-term multi-step wind power predictions based on encoder–decoder architecture in natural language processing 2022 (18)

M2STAN: Multi-modal multi-task spatiotemporal attention network for multi-location ultra-short-term wind power multi-step predictions 2022 (22)

M2TNet: Multi-modal multi-task Transformer network for ultra-short-term wind power multi-step forecasting 2022 (19)