👩‍💼 With 37 years of experience, Dr. Mishra has spent over 16 years as a research scientist and 22 years in teaching, shaping future engineers and hydrologists. He has worked on a range of research projects in surface water hydrology, irrigation, and drainage engineering. His consultancy work includes hydrological studies for major infrastructure projects, such as the Tehri Reservoir and Vishnu Prayag Hydroelectric Project. Dr. Mishra has also contributed to national and international conferences and has been involved in numerous government-sponsored projects aimed at improving water resource management in India.

🔬Dr. Mishra’s research focuses on surface water hydrology, rainfall-runoff modeling, irrigation engineering, and environmental impact assessments. He has a particular interest in the hydrological impacts of climate change on river basins and watersheds. His work includes dam break analysis, water audits, and designing flood estimation models. Dr. Mishra has led major research projects like hydrological studies for river basin management and validation of remote sensing-derived hydrological products. His work has contributed to better water resource management in vulnerable and climate-sensitive regions, with a focus on sustainability.

👩‍💼 Since 2017, Ibrahim has served as a Power Systems Planning Engineer at the Suez Canal Authority. In this role, he conducts power demand assessments, feasibility studies, and develops optimization strategies to ensure reliable grid integration of renewable energy. He performs load flow, short circuit, and stability analyses using various simulation tools, managing equipment selection, system configuration, and compliance with regulatory standards. Previously, from 2014 to 2017, Ibrahim worked with ALSTOM Transport as a Testing and Commissioning Engineer, where he gained experience in system testing, equipment adjustment, and project documentation for critical infrastructure. Over the years, Ibrahim has contributed to several high-profile projects, including grid modeling, renewable integration studies, and voltage stability enhancement. His work emphasizes sustainable development and the integration of clean energy sources into existing infrastructure, making him a valuable asset in the field of power system engineering.

🔬Ibrahim’s research focuses on integrating renewable energy systems into existing power grids, with an emphasis on optimizing hybrid solar and wind systems. His studies involve techno-economic modeling and feasibility analysis, particularly for remote areas requiring sustainable energy solutions. Utilizing tools like SAM (System Advisor Model) and HOMER, Ibrahim explores the financial viability and grid stability impacts of renewable integration. His research also addresses challenges related to load flow, voltage stability, and transient stability in the face of increasing renewable penetration. Ibrahim’s academic contributions include publications on topics such as small-scale hybrid systems, offshore renewable energy stability, and high-voltage direct current (HVDC) interconnections. Through his research, Ibrahim seeks to advance knowledge in the field of clean energy, contributing to global efforts in reducing carbon emissions and supporting energy transition in developing regions.

👩‍💼 Paola has extensive experience as both a researcher and academic. She currently serves as the Head of Public Opinion Monitoring for the Government of Oaxaca, directing policies and public discourse analysis. She has led numerous research initiatives focusing on sustainability and SMEs, addressing challenges in local economies. Paola has been a dedicated instructor, teaching statistical software courses (SPSS) and environmental culture workshops, empowering students and professionals with essential analytical skills. Additionally, she has been an active presenter and moderator at prestigious conferences, enhancing the exchange of ideas in her field. Her international research experience includes a stay at Universitat Rovira i Virgili, Spain, where she expanded her research methods in business management.

🔬 Paola’s research is concentrated on sustainability, particularly within small and medium enterprises (SMEs) and regional development. Her work explores how communal economic models and environmentally responsible practices can be implemented in local economies. She examines sustainability from various perspectives, including employee behavior, green consumption, and community-driven development. Her ongoing studies focus on understanding sustainable practices within SMEs, such as in the artisan alebrije businesses and tourism industries in Baja California and Oaxaca. By bridging sustainability concepts with actionable business strategies, her research provides valuable insights for policymakers, businesses, and academic scholars, contributing significantly to the fields of economic sustainability and SME innovation.

Maia has accumulated significant teaching and research experience. She has served as a professor substitute and volunteer at various Brazilian universities, including the Federal University of Espírito Santo (UFES) and UFJF. Her research roles have spanned several areas, including semiparametric regression, generalized linear models, and time series analysis. Additionally, she has developed statistical tools that are shared with the scientific community through open-access platforms.

Maia’s research is centered on semiparametric models, Bayesian inference, and time series analysis. Her work particularly focuses on latent factor models and GLARMA models for analyzing complex, asymmetrical, and time-dependent data. She aims to enhance statistical methodologies, making them more adaptable and accessible for diverse real-world applications. Her ongoing research involves developing new techniques for modeling time series data and improving their application to various scientific fields.

Dr. Adams has extensive teaching experience, having served as an Assistant Professor and Instructor at Austin Peay State University since 2021. He teaches a range of physical education courses and has been involved in curriculum development and student advisement. Previously, he was an Athletic Director and K-12 teacher, where he taught subjects such as health, math, and physical education while also coaching multiple sports teams.

Dr. Adams’ primary research interests focus on effective teaching practices in physical education, particularly online instruction, and the integration of video feedback to enhance student performance. He is also interested in improving K-12 physical education programs and exploring innovative ways to assess physical education teaching practices.

 Behrad’s professional experience includes working as a laboratory technician, where he honed his practical skills with advanced laboratory techniques such as Gas Chromatography (GC), ICP-OES, FE-SEM, and XRD. He is currently employed at Tabriz Oil Refinery Company, applying his knowledge to environmental sustainability challenges in chemical engineering.

Behrad’s research interests lie in environmental engineering, particularly in water treatment, gas adsorption, and membrane technology. He is currently investigating the use of pyrolytic coke and metal-organic frameworks (MOFs) to enhance filtration systems for water treatment, aiming to address global environmental challenges.

With diverse experience across academia and industry, Alexandra Bühler has held roles that strengthen her skills in statistical methodologies for clinical trials. As a Post-Doctoral Statistical Scientist at Novartis, she worked on estimand strategies to improve data interpretation in oncology trials affected by treatment switching. She also served as a Graduate Research and Teaching Assistant at the University of Waterloo, assisting students and addressing analytical challenges in trial settings with semi-competing risks. Alexandra’s early experience includes internships in statistical methodology and programming at Roche and Boehringer Ingelheim, where she explored event methodologies in multiple sclerosis trials and collaborated on real-world evidence in clinical development. Alexandra’s experience is marked by her proficiency in advanced statistical software, including R and SAS, enhancing her ability to conduct complex data analyses.

Alexandra Bühler’s research interests lie at the intersection of statistical methodology and clinical applications, particularly in oncology and autoimmune diseases. She is passionate about developing and applying statistical methods to analyze complex life history processes in clinical trials, with a specific focus on estimand frameworks, causal inference, and joint modeling. Alexandra is dedicated to improving the interpretability and robustness of clinical trial data, employing multistate models and utility functions to address treatment switching and other intercurrent events. Her recent work on mean function regression and recurrent disability endpoints in clinical trials reflects her commitment to refining statistical approaches to enhance real-world applications, contributing valuable insights to the fields of biostatistics and epidemiology.