Assist. Prof. Dr. Zoi Lada | Thermal Sensing | Excellence in Research Award

Assist. Prof. Dr. Zoi Lada | Thermal Sensing | Department of Chemistry, University of Patras | Greece

Assist. Prof. Dr. Zoi Lada is an accomplished Assistant Professor in the Department of Chemistry at the University of Patras, with extensive international research experience as a Visiting Researcher at University College Dublin, Queen’s University Belfast, and Florida State University. She earned her Ph.D. from FORTH/ICE-HT and the Department of Chemistry, University of Patras, focusing on the development and study of materials with smart properties for potential applications in food packaging. She holds an MSc in Analytical Chemistry and Nanotechnology and a BSc in Chemistry from the University of Patras. Zoi G. Lada has previously held post-doctoral fellow positions at the Institute of Chemical Engineering Sciences, Foundation for Research and Technology (ICE-HT/FORTH), Greece, and University College Dublin, and she served as an Adjunct Professor delivering courses in Organometallic Chemistry, Bioinorganic Chemistry, and Science Education. Her research interests include the development and physicochemical characterization of advanced inorganic materials, spin crossover (SCO) compounds, multifunctional frameworks, metal-organic frameworks (MOFs) for environmental sensing and contaminant removal, gas separation, and CO2 deposition. She also applies Raman spectroscopy and Surface-Enhanced Raman Scattering (SERS) to study molecular interactions and phase transitions while addressing risk assessment. Zoi G. Lada has participated in over 13 EU and national R&D projects, serves as Co-WP leader of the Horizon Project SCENARIOS at ICEHT/FORTH, and has led an “Ideas Incubator” research project funded by the Innovative Entrepreneurship Observatory of the Region of Crete. She is a member of COST Actions EU4MOFs and MOLSPIN and has contributed to research leadership as a reviewer and editorial board member for multiple scientific journals, including Magnetochemistry, Symmetry, and Frontiers in Chemistry, where she also serves as Guest Editor for special issues. Her scholarly output includes 38 peer-reviewed articles (7 as corresponding author), 44 conference abstracts.

Professional Profiles: Google Scholar

Selected Publications

CA Aggelopoulos, S. Meropoulis, M. Hatzisymeon, Z. G. Lada, & G. Rassias. (2020). Degradation of antibiotic enrofloxacin in water by gas-liquid nsp-DBD plasma: Parametric analysis, effect of H2O2 and CaO2 additives and exploration of degradation mechanisms. Chemical Engineering Journal, 398, 125622. Citations: 146
CD Polyzou, ES Koumousi, Z. G. Lada, CP Raptopoulou, V. Psycharis, … (2017). “Switching on” the single-molecule magnet properties within a series of dinuclear cobalt (III)–dysprosium (III) 2-pyridyloximate complexes. Dalton Transactions, 46(43), 14812–14825. Citations: 51
M. Makrygianni, Z. G. Lada, A. Manousou, CA Aggelopoulos, V. Deimede. (2019). Removal of anionic dyes from aqueous solution by novel pyrrolidinium-based Polymeric Ionic Liquid (PIL) as adsorbent: Investigation of the adsorption kinetics, equilibrium. Journal of Environmental Chemical Engineering, 7(3), 103163. Citations: 44
Z. G. Lada, Y. Sanakis, CP Raptopoulou, V. Psycharis, SP Perlepes, … (2017). Probing the electronic structure of a copper (II) complex by CW-and pulse-EPR spectroscopy. Dalton Transactions, 46(26), 8458–8475. Citations: 23
Z. G. Lada, AS Beobide, A. Savvidou, CP Raptopoulou, V. Psycharis, … (2017). A unique copper (II)-assisted transformation of acetylacetone dioxime in acetone that leads to one-dimensional, quinoxaline-bridged coordination polymers. Dalton Transactions, 46(1), 260–274. Citations: 22
Z. G. Lada, KS Andrikopoulos, A. Chrissanthopoulos, SP Perlepes, … (2019). A known iron (II) complex in different nanosized particles: Variable-temperature Raman study of its spin-crossover behavior. Inorganic Chemistry, 58(8), 5183–5195. Citations: 20
Z. G. Lada. (2022). The investigation of spin-crossover systems by Raman spectroscopy: A review. Magnetochemistry, 8(9), 108. Citations: 16

Mr. Olamilekan Shobayo, Sheffield Hallam University, United Kingdom

Olamilekan Shobayo (AFHEA) is a dedicated lecturer at Sheffield Hallam University, where he imparts advanced knowledge in data management, healthcare data analytics, and big data technologies. With over seven years of teaching experience, Dr. Shobayo specializes in machine learning, artificial intelligence, and data analytics. His expertise encompasses R programming, SQL, Python, Tableau, HDFS, Hive, and MATLAB. At Sheffield Hallam University, he teaches modules on data management, healthcare knowledge, and project management, while also supervising master’s projects focused on big data analytics in healthcare. Previously, he served as a Lecturer II at Covenant University in Nigeria, where he taught Python programming, Hadoop framework, and various networking modules. Dr. Shobayo has also contributed to The Brilliant Club as a PhD tutor, designing and delivering courses to inspire young students in STEM subjects. His robust academic background and practical teaching approach make him a valuable asset in advancing the field of data science and analytics.

Suitability for Best Researcher Award

Olamilekan Shobayo’s extensive research experience, including high-impact publications, innovative projects, and substantial teaching contributions, makes him a strong candidate for the Best Researcher Award. His work in data analytics, AI, and machine learning across various domains, combined with his leadership and teaching roles, underscores his suitability for this accolade.

🏢 Work Experience

Sheffield Hallam University, Sheffield, UK
Lecturer
Jan 2022 – Present

📚 Advanced Data Management Project: Teaching data warehouse building, ETL/ELT processes, big data analysis using Hadoop, Spark, Hive, HDFS, and R programming.

🏥 Health Care Knowledge and Data Management: Analyzing healthcare data with R, using Noe4j graph databases, and preparing data mining workflows.

💻 Introduction to Database and Big Data (IDBBD): Creating ERDs, writing SQL queries, implementing security features, and using MS Azure for database labs.

📈 Study Skills and Project Management (SSPM): Teaching study skills and project management with MS Project and JIRA.

🧠 Research Skills and Dissertation (RS&D): Guiding students in computing research and providing feedback.

📊 Master’s Project Supervision: Guiding big data analytics projects related to healthcare.

🏫 Foundation Year Databases Module: Teaching foundational database concepts.

🎓 Academic Adviser: Advising MSc computing students.