Daniela P. Mesquita is a Researcher at the Centre of Biological Engineering (CEB-UM) and Associate Director of the Sustainable Bioprocesses and Bioproducts Laboratory (LBBS) at the University of Minho. With a PhD in Chemical and Biological Engineering (2011), she specializes in quantitative image analysis , chemometrics , and bioprocess development for wastewater treatment and environmental sustainability . PhD in Chemical and Biological Engineering, University of Minho (2006-2011) Master in Biotechnology, University of Minho (2004-2006) BSc in Biological Engineering, University of Minho (1999-2004) Her research focuses on: Quantifying extracellular polymeric substances (EPS) during pharmaceutical and industrial wastewater treatment Developing NIR spectroscopy and chemometric models for rapid pollutant detection Optimizing aerobic granular sludge systems under stress conditions (e.g., salinity, pharmaceuticals) Her recent publications highlight trends in micropollutant removal , sludge morphology , and real-time process monitoring using multivariate analysis . She has supervised 3 PhD theses and 6 Master’s dissertations , with expertise in activated sludge and toxicity assessment . Scientific awards include the Best Poster of the Week (2009) and multiple IACOBUS Program grants (2019-2023). She has conducted visiting research at Federal University of Rio de Janeiro (Brazil), University of Lorraine (France), and University of Santiago de Compostela (Spain).
Mahdi Vasighi is currently serving as an Assistant Professor at the Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS) in Zanjan, Iran, a position he has held since February 2012. Prior to this, he was a Post-doc Researcher at the same institution from February 2011 to February 2012. He has also served as a Visiting Researcher at the Milano Chemometrics and QSAR Research Group, University of Milano - Bicocca, Milan, Italy from September to October 2009, and as a Guest Lecturer at the Pasteur Institute, Tehran, Iran since September 2016. Dr. Vasighi earned his educational qualifications from the Institute for Advanced Studies in Basic Sciences (IASBS) in Zanjan, Iran, where he completed his Ph.D. in Chemometrics in May 2010 and his M.Sc. in Analytical Chemistry between 2002 and 2005. His undergraduate education was in Pure Chemistry at Imam Khomeini International University, Qazvin, Iran, from 1998 to 2002. Dr. Vasighi's primary research interests lie at the intersection of bioinformatics, machine learning, and data analysis. His work focuses on structural bioinformatics, particularly on modeling relationships between biological sequences and their corresponding structure or function. He has made significant contributions to the field of self-organizing maps with dynamic structure, developing innovative approaches like the Directed Batch Growing Self-Organizing Map (DBGSOM) that enhance topology preservation and visualization of high-dimensional data. His research spans multiple domains including protein structural classification, cancer diagnostics using fluorescence spectroscopy, and drug discovery for diseases like COVID-19. Dr. Vasighi's publication record demonstrates a strong trajectory in applying machine learning techniques to solve complex problems in bioinformatics and medical diagnostics. His recent work shows an increasing focus on applying computational approaches to healthcare challenges, including cancer detection, protein analysis, and drug discovery for viral diseases. He has successfully bridged the gap between theoretical machine learning advancements and practical applications in biology and medicine, with a particular emphasis on developing interpretable models that can be used by domain experts. Dr. Vasighi has actively contributed to the academic community through teaching and conference organization. He has served as Local Chair for the International Conference on Contemporary Issues in Data Science 2019 (CiDaS 19) and as Scientific Committee Member and Organizing Chair for previous CICIS conferences. His teaching portfolio includes graduate courses in Artificial Neural Networks, Computational Data Mining, Bioinformatics, Statistical Pattern Recognition, and Multimedia Systems. Dr. Vasighi has supervised numerous MSc students, with over twenty graduated students and nine current students listed in his profile. His research has been supported through collaborations with institutions like the Pasteur Institute, where he worked on projects related to nuclear magnetic resonance-based screening of thalassemia and determination of coronary heart disease risk using NMR spectra of plasma lipoproteins. Through his Directed Batch Growing Self-Organizing Map (DBGSOM) package and other software contributions, Dr. Vasighi has made his research tools accessible to the broader scientific community. His work continues to push the boundaries of how machine learning can be applied to solve challenging problems in bioinformatics and medical diagnostics.
Professor Olusegun Opeyemi Ayejuyo serves as Professor of Analytical Chemistry in the Department of Chemistry, Faculty of Science, University of Lagos, holding concurrent leadership roles as Head of Department (since August 2022) and former Acting Dean of Faculty (December 2024-May 2025). With 26 years of academic service, he maintains active research programs and institutional governance responsibilities including Senate representation and editorial leadership. His academic credentials include: B.Sc. in Chemistry, University of Benin (July 1985) M.Sc. in Analytical Chemistry, University of Ibadan (September 1987) Ph.D. in Analytical Chemistry, University of Ibadan (May 1995) Diploma in Environmental Management, Gallille College, Mizra Israel (September 2008) Prof. Ayejuyo pioneers advanced analytical methodologies for environmental contaminant detection, specializing in HPLC, GC-ECD, AAS, and UV-Visible spectrophotometry applications. His work targets trace-level quantification of Persistent Organic Pollutants, Polycyclic Aromatic Hydrocarbons, and Potentially Toxic Metals across multimedia environmental matrices. Current projects address air quality monitoring, microplastic pollution dynamics in the Gulf of Guinea, and biotransformation of agro-industrial waste streams. His 2022-2024 publications reveal concentrated focus on African environmental challenges, particularly microplastic contamination pathways in West African coastal systems and policy implementation gaps for global pollution conventions. Research integrates field sampling with multivariate statistical analysis to establish contaminant source fingerprints and ecological risk profiles. Major recognitions include: 5th Nigerian Merit Gold Award for Productivity (2013) Israeli Scholarship Award for Environmental Management Training (2008) Aldrich Chemical Company Recognition for phytochemical research (1994) Mentoring over 100 postgraduate students, he directs significant research funding through: TETFund 2022 Grant: Legacy Air Pollutants monitoring TETFund 2022 Grant: Indoor dust air pollution studies TETFund 2020 Grant: Biconversion of agro/textile waste to industrial chemicals University Central Research Grant (2011): Endocrine disruptors in Lagos Lagoon He co-leads the World Bank Center of Excellence for Environmental Standards Air Quality in Africa and maintains active collaboration with the University of Birmingham Pollution Laboratory. As Editor-in-Chief of the Faculty of Science Journal and Chairman of SON's Technical Committee on Natural Waters, he shapes national environmental standards while contributing to the African Regional Standard Organisation and Chemical Society of Nigeria.
Dr. Justtina John serves as Lecturer and Diploma Program Leader in the Department of Computing, School of Engineering, Computing and Built Environment at University of Wollongong Malaysia KDU Penang University College. With over 14 years at the institution since 2011 and 20+ years total in Malaysian private higher education, she teaches core courses including Object Oriented System Analysis and Design, Business Information Systems, and Strategic Systems Management across diploma and bachelor programs. Her educational credentials feature a Doctorate of Business Administration (2018), MSc in Information Technology (2003), and Bachelor in Information Technology (2001), all from Universiti Utara Malaysia. The doctoral research employed PLS-SEM methodology to investigate workload pressure, person-job fit, and innovation trust effects on educator creativity in Malaysian private universities. Dr. John's research program bridges educational psychology and computing applications, with dual streams examining higher education dynamics and information systems development. Her scholarly output since 2015 demonstrates consistent publication in both educational research (focusing on faculty creativity metrics) and applied computing (including route optimization systems and environmental data visualization tools), reflecting an interdisciplinary approach to academic challenges. As Diploma Program Leader, she oversees operational management for Diploma in Information Technology and Diploma in Digital Animation programs, handling curriculum revisions, student coordination, and academic quality assurance. Her international collaboration with Gorondutse, A.H. at the 2017 Asian Academy of Management Conference indicates active engagement with global academic networks, while her quantitative research expertise provides methodological rigor to institutional improvement initiatives.
Marcin Sidoruk is a researcher at the Department of Water Management and Climatology , Faculty of Agriculture and Forestry , University of Warmia and Mazury in Olsztyn . He holds a PhD and DSc in Engineering, focusing on environmental engineering, agricultural sciences, and water quality assessment. Research Interests : Impact of catchment areas on inland water quality Heavy metal accumulation in river and reservoir sediments Water management technologies in aquaculture systems Pollution risk assessment for aquatic ecosystems Ecohydrological interactions in river-lake systems Scientific Contributions : His research spans 2004–2025, with 17 WoS/Scopus publications (H-index: 5) and 201 Google Scholar citations. Recent work includes natural wastewater treatment systems, heavy metal bioaccumulation in Phragmites australis, and hydrological impacts on Baltic coastal lakes. Articles highlight interdisciplinary approaches combining geochemistry, ecotoxicology, and aquaculture engineering. Supervision & Grants : Willing to supervise doctoral students; research is supported by institutional funds and infrastructure. No specific awards mentioned, but his work addresses critical environmental challenges in agricultural and aquaculture contexts.
Dr Christopher Ottley serves as Chief Experimental Officer in Geochemistry and Health & Safety Co-ordinator within the Department of Earth Sciences at Durham University. With over 25 years of continuous service since 1995, he plays a critical technical and research support role in the department's analytical capabilities. His educational background includes a BSc (Hons) from The Polytechnic Wolverhampton (1986) and a PhD from Essex University (1991), followed by postdoctoral research at Imperial College London (1991-1992) and Lancaster University (1992-1995). Dr Ottley specializes in environmental analytical chemistry , with particular expertise in ICP-MS technologies for geochemical analysis. His research focuses on developing methodologies for trace element determination at low concentrations in geological materials, including rare earth elements (REE), platinum group elements (PGE), and other trace metals. His work spans diverse applications from geological provenance studies to medical research on platinum-based cancer therapies and environmental monitoring of volcanic ash and solar cell components. Analysis of his recent publications reveals a consistent focus on geochemical analysis techniques and their applications across multiple domains. His work demonstrates expertise in isotope geochemistry , trace element analysis , and analytical method development . Collaborative research spans archaeology, environmental science, medical applications, and economic geology, showcasing the interdisciplinary nature of modern geochemical research. Member of the Royal Society of Chemistry Chartered Chemist Dr Ottley supervises research students including Christina Koureta, providing guidance on analytical techniques and geochemical methodology. His technical expertise supports numerous research projects across the Department of Earth Sciences and with external collaborators at institutions including Newcastle University Cancer Research Group and Leicester University's Cancer Biomarkers and Prevention Group. As Chief Experimental Officer, he manages the geochemistry laboratory facilities and ensures health and safety compliance for analytical work. His role is central to the department's analytical capabilities, enabling high-quality research through advanced instrumentation and methodological expertise.
Dr. Paweł Kalinowski serves as an Assistant Professor at the Department of Functional Materials Engineering, Faculty of Electronics Telecommunications and Informatics, Gdańsk University of Technology. His office is located in Building A of the Faculty at room 811, with contact phone number 583472792 and email pawkalin@pg.edu.pl. He has taught 85 courses throughout his academic career at the institution. Dr. Kalinowski obtained his dr inż. (Doctor of Engineering) degree in 2018 in Electronics (Technology) from the Faculty of Electronics Telecommunications and Informatics. His research focuses on advanced sensor technologies with particular emphasis on gas detection systems and environmental monitoring applications. His primary research interests include gas sensors , electronic nose technology, and data mining techniques for sensor array analysis. His work addresses critical challenges in sensor technology such as baseline drift, fault detection in sensor arrays, humidity interference, and temperature modulation effects on semiconductor gas sensors. His research bridges electrical engineering with environmental science, developing practical solutions for air quality monitoring systems. Analysis of his publication record (31 total publications) reveals consistent research in gas sensor technology with increasing sophistication in data analysis methods. His most recent work (2019-2022) focuses on fault detection in sensor arrays and advanced signal processing techniques, while earlier publications (2013-2018) established foundational work in gas identification and environmental monitoring applications. His research demonstrates a clear trajectory toward more complex sensor network analysis and environmental applications. Dr. Kalinowski has contributed to both engineering journals like Sensor Review and Metrology and Measurement Systems , as well as environmental science publications including Science of the Total Environment , demonstrating interdisciplinary research impact. His teaching portfolio of 85 courses indicates substantial educational contributions to the Faculty of Electronics Telecommunications and Informatics, though specific course details aren't provided in the available documentation. His workplace in Building A suggests integration with the main electronics and telecommunications research facilities at Gdańsk Tech.
Dr. Abdul K. Mohammed serves as Professor and Chair of the Department of Chemistry and Biochemistry at North Carolina Central University's College of Science and Technology, having previously held leadership roles as Dean of the same college and Chair of Chemistry at Winston Salem State University. His academic foundation includes: B.Sc. in Chemistry from University of Benin, Nigeria (1983) Ph.D. in Inorganic Chemistry from Louisiana State University (1992) Postdoctoral Research at Florida State University (1992-1993) His research integrates Environmental Chemistry through semiconductor-assisted photodegradation of water pollutants, Bioinorganic Chemistry via transition-metal complexes as antineoplastic agents, and Photochemistry of metal complexes. He pioneers Chemical Education innovations with student-centered pedagogies at HBCUs. Publication analysis reveals a consistent trajectory from foundational photochemistry (1990s) to applied environmental remediation (2005-2014), culminating in recent nanomaterial-focused wastewater solutions (2019-2021). Over 60% of his work addresses environmental applications, particularly photocatalytic pollutant degradation using TiO2/ZnO systems. His scholarly recognition includes: Fulbright Scholar award for research at Sultan Qaboos University, Oman (2003-2004) Carnegie African Diaspora Fellowship for collaborations in Nigeria (2017, 2019) As principal investigator for the NCCU-UNC Master's to Ph.D. Chemistry Bridge Program, he develops pathways for underrepresented students. His mentorship is evidenced by 12+ student co-authored publications since 2009, particularly in chemical education and environmental analysis projects. His research team collaborates internationally on wastewater treatment technologies and maintains active partnerships with UNC Chapel Hill through the Chemistry Bridge Program, focusing on nanomaterial synthesis and environmental applications.
Dr. Ayla BİLGİN is an Associate Professor at Artvin Coruh University, College of Engineering, Department of Environmental Engineering, where she serves as Vice Dean and Department Head. Her academic career spans over two decades with significant contributions to environmental engineering research and education. Education: PhD in Environmental Engineering, Hacettepe University (2004-2011) Masters in Environmental Sciences, Gazi University (2001-2003) Bachelors in Environmental Engineering, Ondokuz Mayıs University (1995-1999) Postdoctoral Research, Princeton University (2016-2017) Dr. BİLGİN's research focuses on water quality assessment, environmental impact analysis, heavy metal pollution, and soil remediation techniques. Her work combines field studies with advanced statistical methods to evaluate environmental systems and develop sustainable solutions. She has pioneered research on phytostabilization techniques for contaminated soils and developed innovative approaches for water quality monitoring in river basins, particularly the Coruh River Basin in Turkey. Her recent publications demonstrate a strong trend toward interdisciplinary environmental research, combining chemical analysis with ecological assessment and statistical modeling. She has made significant contributions to understanding water quality dynamics in coastal and groundwater systems of the Eastern Black Sea Basin and has developed robust methodologies for environmental impact assessment regulation analysis. Scientific Awards: EWRI Visiting International Fellow Award, ASCE (2024) Best Poster Award, BRICS Urbanization Green Innovation Conference (2022) Multiple Publication Incentive Awards from Artvin Coruh University and TÜBİTAK (2014-2018) Young Scientist Paper Award, American Academy of Sciences (2014) Overseas Postdoctoral Research Scholarship, TÜBİTAK (2016) Dr. BİLGİN has supervised multiple graduate theses on environmental impact assessment and water resource management. She has led numerous research projects funded by universities and government agencies, including studies on heavy metal pollution in the Murgul Copper Mine area and water quality assessment in the Coruh River Basin. Her administrative roles include serving on academic promotion committees and faculty management boards, reflecting her leadership in the academic community.
Wang You-Gan is an accomplished academic researcher with over three decades of publication history spanning from 1991 to 2024. His work demonstrates a strong foundation in statistical methodology with applications across multiple domains including environmental science, fisheries management, machine learning, and computational statistics. His research has been published in high-impact journals across statistics, computer science, environmental science, and biology. Wang You-Gan's primary research interests include statistical modeling, regression analysis (particularly support vector regression), longitudinal data analysis, machine learning applications, and environmental statistics. His work shows a clear evolution from early fisheries and environmental applications to broader computational statistical methods with applications in energy systems, genomics, and cloud computing. His research demonstrates strong methodological development coupled with practical applications. His recent publications (2022-2024) show a strong focus on advanced regression techniques, particularly support vector regression with innovations in handling heterogeneous variances, autoregressive processes, and automatic hyperparameter selection. He has also expanded into machine learning applications for energy demand forecasting, air quality prediction, and data center optimization. His work often bridges theoretical statistical development with practical implementation across diverse domains. Wang You-Gan has received significant citation impact for his methodological contributions, with several papers accumulating over 100 citations. His collaborations span multiple institutions and disciplines, indicating his work's broad relevance across fields. His research has important applications in environmental monitoring, energy systems management, computational biology, and cloud computing infrastructure. The consistent publication record over more than 30 years demonstrates his sustained contribution to statistical methodology and its applications.
Giorgio Tomasi serves as an Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen, specifically within the Section for Environmental Chemistry and Physics. His research focuses on developing and applying advanced analytical methodologies for environmental analysis, with particular expertise in mass spectrometry and data processing techniques. Dr. Tomasi's research interests center on environmental analytical chemistry, with emphasis on non-target screening methodologies , high-resolution mass spectrometry applications , data compression algorithms , and environmental contaminant analysis . His work bridges analytical chemistry with environmental science to address challenges in identifying and quantifying pollutants in complex environmental matrices. Analysis of his recent publications (2021-2025) reveals a strong focus on methodological advancements in environmental analysis, particularly in non-target screening techniques, data processing algorithms for mass spectrometry, and applications to wastewater and sediment analysis. His research increasingly addresses EU chemical policy needs, as evidenced by collaborations on updating the NORMAN prioritization scheme to support the EU Chemicals Strategy. Dr. Tomasi maintains active collaborations with researchers across Europe, as demonstrated by his co-authorship on multi-institutional publications. His work appears in high-impact analytical and environmental chemistry journals including Analytical Chemistry , Journal of Chromatography , and Water Research . His research group appears to focus on developing computational and analytical approaches for environmental analysis, with particular attention to data processing challenges in high-resolution mass spectrometry. The department's Section for Environmental Chemistry and Physics provides the institutional home for this research, which addresses critical challenges in environmental monitoring and chemical safety assessment.
Thomas Scheike is a Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen. He holds a Dr. Scient degree from 2002 and a PhD from 1993, with an ORCID identifier of 0000-0002-2148-4740. His research expertise includes: Survival analyses and time-to-event data methodology Statistical genetics applied to twin and family studies Competing risks data analysis Dependence structures in multivariate event history data Professor Scheike has developed significant statistical software for R, including the Timereg package for survival analysis and the Mets package for multivariate polygenetic modeling. He teaches courses primarily for medical PhD students in survival analysis, statistical software applications, medical statistics, and methods for twin and family studies, as well as specialized courses for statistics PhD students. His recent publications (2025) demonstrate the broad application of his biostatistical methods across cardiology, psychiatry, gastroenterology, neurology, and environmental health fields. These works often involve large-scale cohort studies and twin research designs, showcasing his methodological innovations in analyzing complex longitudinal data. Professor Scheike maintains an active research profile with substantial contributions to biostatistical methodology, particularly in the analysis of survival data with applications across diverse medical disciplines.
