جست‌وجوی استاد و پژوهشگر

John H. Reifمشاهده پروفایل

استاد

• DNA Computing
• Molecular Assembly
• Robot Motion Planning
• +۴ مورد دیگر

John H. Reif is a Professor of Computer Science at Duke University, with secondary appointments in the Thomas Lord Department of Mechanical Engineering and Materials Science (since 2024) and the Department of Electrical and Computer Engineering (since 2016). His research spans DNA computing , molecular assembly , robot motion planning , and quantum computation , focusing on programmable biomolecular systems and parallel algorithms. Education: Ph.D. in Applied Mathematics, Harvard University (1977) M.S. in Applied Mathematics, Harvard University (1975) B.S. in Applied Mathematics and Computer Science, Tufts University (1973) His recent publications emphasize DNA strand displacement , molecular-scale learning systems , and 3D DNA nanostructures , with applications in diagnostics, data storage, and nanofabrication. Articles highlight innovations in error-resilient DNA circuits, programmable self-assembly, and algorithmic modeling of molecular processes. Scientific Awards: Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) He has supervised numerous Ph.D. students and postdoctoral researchers , including Rajiv Nagipogu (adaptive molecular systems) and Xin Song ( Daniel Fu , DNA computation on cell membranes). His work is funded by grants from the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF) , with recent focus on molecular-scale AI and DNA polymerase reaction networks. Reif co-founded Domus Diagnostics , developing affordable infectious disease testing solutions. He served as General CoChairman of FNANO24 and contributes to teaching courses like Computational Complexity and Molecular Assembly and Computation .

Vangelis Tsiligkirisمشاهده پروفایل

استاد

• Transnational Education (TNE)
• International Higher Education
• Finance
• +۳ مورد دیگر

Vangelis Tsiligkiris is Professor of International Education at Nottingham Business School, Nottingham Trent University , where he leads the MSc Finance Suite and MSc FinTech programs. With 20 years of executive leadership in higher education, he has served as College Principal at the College of Crete and Head of Online Programmes at Roehampton University/Laureate International Universities. He actively contributes to international education policy as an advisor to organizations including the Ministry of Education of Malta , British Council , and Universities UK . His academic background includes Financial Technology from the University of Oxford, Economics at the University of East London, Management at the University of Leicester, and a PhD in cross-border higher education management from Birmingham City University. He is currently pursuing an MSc in Artificial Intelligence at NTU's School of Computing Science. As a researcher, Tsiligkiris focuses on two primary domains: Transnational Education (TNE) , emphasizing international student experiences and higher education business strategy. His TNE Impact case study database and Global Engagement Index research directly address UN Sustainable Development Goals (SDGs) . Emerging Technologies in Accounting & Finance , particularly Blockchain and AI's influence on finance/accounting professions. His scholarly output includes 9 peer-reviewed papers, 5 book chapters, and 22 research reports for international bodies. Notable projects include the TNE Hub (500+ members across 25 countries) and the British Council-funded micro-credentials course for disadvantaged groups in India. Scientific recognition includes Senior Fellow of the Higher Education Academy (SFHEA) Fellow of the Chartered Management Institute (FCMI) As an educator, he has taught at University of Liverpool , Queen Mary University of London , Roehampton University , and others, delivering programs through fully online, hybrid, and face-to-face formats. He serves on expert committees including the International Committee of CABS and Jisc transnational education SIG , while acting as external examiner for the University of Surrey and EdTech accelerator mentor.

Marlene Barrosمشاهده پروفایل

استاد

• Protein Chemistry
• Molecular Mechanisms of Disease
• Biomarker Discovery
• +۷ مورد دیگر

Marlene Barros is a Full Professor at the Faculty of Dental Medicine (FMD), Portuguese Catholic University (UCP), where she also serves as Director since 2020. She is the Director of the Center for Interdisciplinary Research in Health (CIIS), recognized as 'Very Good' by FCT, and leads the SalivaTec laboratory focused on saliva-based diagnostics. She has a strong academic background in biochemistry and biology, with leadership roles in education and research. Her educational qualifications include: PhD in Biochemistry (specialty: Enzymology and Protein Chemistry), University of Coimbra (1995) Agregação in Biology, University of Aveiro (2007) Marlene Barros' research is centered on protein chemistry and molecular mechanisms of disease, with a focus on identifying biomarkers for diagnosis and therapeutic targeting. Her work spans proteomics, bioinformatics, oral biology, and microbiome analysis. She has coordinated academic programs such as the Master in Molecular Microbiology and the Degree in Biomedical Sciences. Her recent research articles reflect a strong trend in salivary proteomics, oral microbiome interactions, human-viral interactomics, and the development of bioinformatics databases (e.g., OralOme, OvisOme, CanisOme). These works emphasize translational applications in precision medicine, diagnostics, and functional food science. She has received the following scientific award: Prémio Melhor Poster SciComPT 2019 She has supervised numerous academic projects and is actively involved in national and international research collaborations. She has led or participated in significant funded projects such as SPRINT, OralTherm, RedSup4Health, and OeHMP, supported by Portugal2020 and Fundación 'la Caixa'. Her work contributes to UN Sustainable Development Goals, particularly in health and education. She is a key member of the SalivaTec laboratory and contributes to interdisciplinary teams in projects involving digital health, oral microbiome, and functional foods. Her leadership extends to pedagogical innovation and community-based learning in dental education.

Wendy Brownمشاهده پروفایل

استاد

• Bariatric Surgery
• Upper Gastrointestinal Surgery
• Obesity and Metabolic Disorders
• +۱۲ مورد دیگر

Professor Wendy Brown is a leading academic surgeon at Monash University, serving as Professor and Chair of the Department of Surgery within the Faculty of Medicine, Nursing and Health Sciences. She is based at The Alfred Hospital in Melbourne, where she holds multiple leadership roles, including Director of the Oesophago-Gastric-Bariatric Unit, Program Director of Surgical Services at Alfred Health, Clinical Director of the Australia and New Zealand Bariatric Surgery Registry, and Clinical Lead of the Victorian Upper GI Cancer Registry. Her educational background includes an MBBS (Hons), PhD from Monash University, and fellowships FRACS and FACS. She has held numerous national and international leadership positions in surgical societies and guideline development bodies. Professor Brown’s research is centered on bariatric and upper gastrointestinal surgery, with a focus on improving patient outcomes, understanding the physiology of weight loss, and advancing surgical techniques. Her work spans clinical trials, registry development, robotic surgery, and health policy. She has published extensively in high-impact journals and leads multiple funded research projects. Her recent scholarly output shows a strong trend in patient-centered outcomes, surgical innovation (especially robotic systems), cancer survival analysis, and national registry development. Her work increasingly integrates real-time patient-reported outcomes and digital health tools to enhance clinical care quality. Fellow of the Royal Australasian College of Surgeons (FRACS) Fellow of the American College of Surgeons (FACS) Past President, Obesity Surgery Society of Australia and New Zealand Past President, Australia & New Zealand Gastro Oesophageal Surgery Association Member, Lancet Commissioners Report on Obesity (2022–2023) Contributor, NHMRC Obesity Management Guidelines (2023) Professor Brown has advised and collaborated with numerous researchers and surgical teams. She has led major research grants, including the Bi-national Bariatric Surgery Registry and projects funded by Johnson & Johnson and the Australian Department of Health. She is a Primary Chief Investigator on multiple active national studies focused on perioperative care, robotic surgery, and cancer outcomes. She has served on assessment teams for the Australian Medical Council and the Royal Australasian College of Surgeons, contributing to surgical education and accreditation. She leads the Centre for Obesity Research and Education and is deeply involved in national policy through roles on the Victorian Perioperative Consultative Council, Medicare Review Advisory Committee, and Safer Care Victoria working groups. Her leadership extends to global initiatives, including the Global Registry Committee and the International Federation for the Surgery of Obesity and Metabolic Disorders.

• Computer Architecture
• High-Performance Computing
• Distributed Systems
• +۱۲ مورد دیگر

Yolanda Becerra Fontal is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). She is actively involved in research projects and collaborations, notably with the Barcelona Supercomputing Center, and is a member of prominent research groups such as the High Performance Computing Group (CAP) and CROMAI (Computing Resources Orchestration and Management for AI). Research Interests: Her research spans a broad spectrum of computer systems, with a consistent focus on performance, efficiency, and scalability. Key areas include Computer Architecture , High-Performance Computing (HPC) , Distributed and Cloud Systems , Resource and Energy Management in virtualized environments, and Data-Intensive Computing . More recently, her work has centered on innovative time-series database systems and data management for edge and cloud analytics. Publication Trends: Her recent scholarly output (2020-2022) shows a strong emphasis on time-series data management, proposing novel database architectures like NagareDB and strategies for polyglot persistence. Earlier work (2009-2013) was pivotal in MapReduce workload management, energy accounting for virtualized systems, and optical data center networks, demonstrating a long-standing contribution to foundational distributed computing challenges. Scientific Contributions: Her work has been published in top-tier journals and conferences such as Future Generation Computer Systems , IEEE Transactions , and Nucleic Acids Research . She has also contributed to significant competitive R&D projects and holds patents related to data flow management and distributed indexing. Advising and Grants: Dr. Becerra Fontal has served as a thesis advisor for doctoral students. Her research has been funded through competitive grants from national and regional programs, including Spanish State Research Plans (Plan Estatal de Investigación) and Catalonia's RIS3CAT strategy, supporting projects on high-performance computing and data management. Research Groups and Labs: She is a core member of the CAP - High Performance Computing Group and the CROMAI - Computing Resources Orchestration and Management for AI group at UPC. Her work is closely associated with the Barcelona Supercomputing Center (BSC) , one of Europe's leading supercomputing facilities, indicating access to advanced computational infrastructure.

Anna Farihaمشاهده پروفایل

استادیار

• Data Management
• Human-Centered Systems
• Usability Engineering
• +۴ مورد دیگر

Anna Fariha is an Assistant Professor in the Kahlert School of Computing at the University of Utah. She co-leads the Data Management Research Center for Human-centered, Efficient, and Scalable Systems. Her research focuses on enhancing data system usability, explainability, and trustworthiness through algorithmic innovations and practical implementations. She holds a Ph.D. from the Manning College of Information and Computer Sciences at the University of Massachusetts, Amherst, under Prof. Alexandra Meliou. Education: Ph.D. in Computer Science, University of Massachusetts Amherst (2021) Master's in Computer Science, University of Massachusetts Amherst (2020) Undergraduate work in Computer Science, unspecified institution Her research interests include data wrangling tools, constraint discovery, conversational AI for data science, and human-centered database systems. Recent work emphasizes automated data summary recommendations, constraint violation detection, and educational tools for data science programming. Grants & Awards: NSF CIRC: ENS/Grand: POWDER-ENS Award (2024) Stena Center Seed Grant for Fintech Data Analysis (2025) Microsoft Research Dissertation Grant (2020) SIGMOD 2022 Comprehensive Reproducibility Award Teaching: Recently taught Advanced Database Systems , Human-Centric Data Management , and Deep Learning courses at the University of Utah.

Siegfried Nijssenمشاهده پروفایل

استادیار

• Data Mining
• Pattern Mining
• Exploratory Data Analysis
• +۵ مورد دیگر

Siegfried Nijssen is an Assistant Professor of Data Mining and Artificial Intelligence at the Catholic University of Louvain (UCLouvain) in Belgium, working within the ICTEAM research institute's Artificial Intelligence and Algorithms group. He has been at UCLouvain since 2016, previously serving as an Assistant Professor at University Leiden (2012-2016) and completing postdoctoral work at KU Leuven (2006-2015). He earned his PhD in Computer Science from University Leiden in 2006. His research focuses on making data analysis simpler through intersections between pattern mining, exploratory data analysis, and programming paradigms in Artificial Intelligence, particularly constraint programming and probabilistic programming. He has developed techniques for analyzing diverse data types including graphs, networks, and multi-relational data. His work bridges theoretical foundations with practical applications in decision tree learning, probabilistic networks, and source code analysis. Nijssen's recent publications demonstrate a strong focus on optimal decision trees, constraint-based pattern mining, and applications in bioinformatics and education. His research shows consistent evolution from foundational graph mining work (including the Gaston algorithm developed in 2004) to current work integrating machine learning with constraint programming for interpretable AI solutions. As an educator, he teaches courses including Mining Patterns in Data, Databases, and Artificial Intelligence and Machine Learning seminars at UCLouvain. He has advised numerous PhD students and postdocs, primarily in collaboration with Pierre Schaus, with former students like Tias Guns now holding professorships.

• Linguistics
• Russian Language
• Political Discourse
• +۵ مورد دیگر

Marina Vazanova is an Associate Professor at the Department of Romance and Slavic Languages, Faculty of Applied Languages, University of Economics in Bratislava, where she has worked since February 2021. Her career spans multiple institutions, including Comenius University in Bratislava (2016–2020), Chuvash State Pedagogical University in Russia (2006–2016), and Johannes Gutenberg University of Mainz (research internship in 2014). Current Position: Associate Professor (University of Economics in Bratislava) Past Roles: Lecturer, Head of Program, Department Chair Her research focuses on linguistic and cultural aspects of Russian language teaching , including componential analysis , political discourse , and cross-cultural communication . She has published extensively on topics such as address forms in political contexts , propaganda in media , and corpus-based linguistic expertise . Key trends in her recent publications (2019–2023) emphasize media linguistics , political communication , and language pedagogy . She has participated in international collaborations and organized conferences on Russian language education and bi/polylingualism. Vazanova has delivered 4 invited lectures at international/national levels and contributed to the Web of Science/Scopus database with 1 registered research output. Her organizational experience includes leadership roles in academic conferences and examination commissions.

• Database Systems
• Distributed Data Management
• Concurrency Control
• +۵ مورد دیگر

Alan D. Fekete is a Professor at the University of Sydney's Department of Computer Science, specializing in database systems, distributed data management, and consistency models. His work spans transaction processing, cloud computing, and query optimization, with recent focus on enhancing database concurrency and serializable execution. Key Research Areas: Database Concurrency & Transaction Isolation Multicore Scalability & Distributed Systems Cloud Data Consistency & Replication Query Optimization & NoSQL Performance Recent publications (2023-2025) explore transactional frameworks for analytical interfaces, DB-OS co-design for data ingestion, and mixed isolation levels for serializable execution. Earlier works (2018-2014) address scalable lock managers, coordination avoidance in databases, and consistency properties in cloud storage. He has contributed to educational initiatives, including a data-centric computing curriculum (2021) and teaching threading concepts (2008). Collaborations include co-authors like Nancy Lynch, Uwe Röhm, and Joseph Hellerstein.

James D. Mooreمشاهده پروفایل

استادیار

• Northwest Semitic epigraphy
• Hebrew Bible
• Ancient Near Eastern Scribal Culture
• +۶ مورد دیگر

James D. Moore serves as Assistant Professor in the Department of Near Eastern and South Asian Languages and Cultures at The Ohio State University, with additional affiliation in the History department. He held a position as Chargé de Conférence at the École Pratique des Hautes Études (2023-2024) and collaborates on the ERC project SLaVEgents (2023-2028). He co-directs the OSU Digital Lab for Ancient Textual Objects (DLATO) and manages the Online Corpus of the Inscriptions of Ancient North Arabia (OCIANA). His academic training includes: Ph.D. in Near Eastern and Judaic Studies, Brandeis University, specializing in the Bible and Ancient Near East. Moore's research centers on Northwest Semitic epigraphy, the Hebrew Bible, and Ancient Near Eastern scribal culture, with a focus on religious economies within imperial frameworks, especially the Achaemenid Empire. He also investigates Achaemenid Mediterranean social history, Dead Sea Scrolls, Syriac, Archaeology, and Comparative Semitics, integrating philological analysis with social-historical context to explore administrative and economic structures. His recent publications reveal a concentration on Hebrew and Aramaic epigraphic evidence to study administrative reforms, religious practices, and scribal techniques during the Persian period. He is a proponent of digital humanities, developing resources for digital editions and databases of ancient texts. Moore is actively involved in major grant-funded projects, notably the ERC's SLaVEgents. He advises graduate students in philological and social-historical research, serving on the NESA Graduate Student Committee and co-advising the CANE graduate program. He emphasizes training students in digital research methods (SQL). He co-directs the DLATO, which creates digital tools for ancient textual scholarship, and manages OCIANA, a comprehensive corpus of Ancient North Arabian inscriptions, reflecting his commitment to digital innovation in the field.

• Evolutionary Biology
• Phylogenetics
• Ecology
• +۷ مورد دیگر

Luke J Harmon serves as Professor in the Department of Biological Sciences within the College of Science at the University of Idaho, with additional appointments in the Initiative for Bioinformatics and Evolutionary Studies, Institute for Interdisciplinary Data Sciences, and Office of Research and Economic Development. Education: PhD in Evolution, Ecology, and Population Biology (2005) from Washington University in St. Louis BS in Zoology (1998) from Iowa State University Research Focus: Harmon's work integrates phylogenetic comparative methods with computational biology to investigate adaptive radiations , trait evolution , and biogeographic patterns . His research bridges micro-macroevolutionary scales through innovative statistical modeling, particularly in evolutionary medicine applications and speciation dynamics. As developer of key R packages ( rwty , treeducken , SSARP ), he advances methodological frameworks for analyzing evolutionary rates and character correlations. Publication Trends: Recent work (2022-2025) demonstrates increasing emphasis on software tool development for phylogenetic analysis, with significant contributions to evolutionary oncology, fire-adapted trait evolution in conifers, and niche theory applications in adaptive radiations. His publications consistently address methodological challenges in modeling rate heterogeneity, species delimitation, and cross-scale evolutionary processes. Research Infrastructure: Harmon leads the Harmon Lab, which operates within the University of Idaho's Initiative for Bioinformatics and Evolutionary Studies. The lab focuses on computational approaches to evolutionary questions, leveraging high-performance computing resources and interdisciplinary collaborations through the Institute for Interdisciplinary Data Sciences.

Clement A. Adebamowoمشاهده پروفایل

استاد

• Cancer epidemiology
• Genomics epidemiology
• Nutrition epidemiology
• +۶ مورد دیگر

Dr. Clement A. Adebamowo is a Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine. He serves as Director of the Cancer Epidemiology Division and holds additional leadership roles as Associate Director of the Population Sciences Program, Associate Director of Diversity, Equity, Inclusion, and Accessibility, and Director of Global Health Cancer Research at the Marlene and Stewart Greenebaum Comprehensive Cancer Center. Education: BM, ChB Hons. - University of Jos, Jos, Plateau State, Nigeria (1978-1984) Sc.D. in Nutrition Epidemiology and minor in Biostatistics, Harvard University (2000-2004) Postgraduate Surgery (Oncology) - University College Hospital, Ibadan, Oyo State, Nigeria (1987-1993) Dr. Adebamowo's research program focuses on epidemiological and genomic risks, biomarkers discovery, early detection and prevention of breast and cervical cancers. His work integrates multiple disciplines including cancer epidemiology, genomics epidemiology, nutrition epidemiology, non-communicable disease research, and research ethics. He directs the NIH-funded African Collaborative Center for Microbiome and Genomics Research (ACCME) as part of the H3Africa initiative, which examines genomic and epidemiologic risk factors for persistent high-risk HPV infections, cervical cancer, breast cancer, uterine fibroids, and Hepatitis infections in a cohort of approximately 12,000 women followed every six months. His recent publication portfolio reveals a strong concentration on HPV-related research, cervical cancer epidemiology, and genomic risk factors, with emerging work on data science applications in African health research. His studies increasingly integrate multi-omics approaches including host germline genomics, somatic genomics, viral genomics, epigenomics, microbiome, proteomics, and metabolomics data to understand cancer etiology and develop prevention strategies. Scientific Recognition: PRIM&R Jeff Cohen Service Award (2022) for pioneering work establishing research ethics infrastructure in Nigeria and West Africa Mamadou Gueye Prize of the West African College of Surgeons Member of multiple prestigious advisory boards including Keystone Symposia and Fogarty International Center Dr. Adebamowo directs several major NIH-funded training programs in Research Ethics, Responsible Conduct of Research, and Research Methodology, having developed comprehensive multi-disciplinary graduate programs across Africa. His current grant portfolio includes the Baltimore CASCADE Study Site (BaCSS Project), Knowledge, Attitude and Recommendations study on iPSC creation, Scaling Up Research Ethics and Research Integrity (SURER) Project, Bridging Gaps in the ELSI of Data Science Health Research, and Point of Care Diagnostic test for Molecular Subtyping of Breast Cancer (PoCBreCa) Study. As Director of ACCME, Dr. Adebamowo leads a large international research team conducting groundbreaking genomic and epidemiological studies across Africa. His work has established significant research capacity for ethical research and scientific investigation in Nigeria and other West African countries, with documented implementation of over 150,298 online training modules. His development of the Food Frequency Questionnaire (FFQ) for African foods and Food Composition Database (FCD) represents important methodological contributions to nutritional epidemiology in Africa.

Claudia Czimczikمشاهده پروفایل

استاد

• Climate Change
• Carbon Cycle
• Biogeochemical Cycles
• +۳ مورد دیگر

Claudia Czimczik is a Professor in the Department of Earth System Science at the University of California, Irvine. Her research focuses on climate change impacts on carbon and nitrogen cycling in terrestrial ecosystems, particularly in high-latitude regions like Arctic tundra and boreal forests. Her work combines field observations with geochemical methods, including trace gas analysis and stable/radiocarbon isotope measurements. Key areas address feedbacks between ecosystem changes and climate systems, wildfire and urbanization effects on carbon dynamics, and carbonaceous aerosol contributions to air pollution. Recent publications highlight Arctic isoprene emissions, permafrost carbon vulnerability, wildfire impacts on boreal photosynthesis, and urban-rural carbon gradients. She serves as Chair of Earth System Science (2023–present) and collaborates with UCI’s Keck C Cycle Accelerator Mass Spectrometry facility and remote sensing/modeling experts.

• Environmental Systems Analysis
• Chemical Risk Assessment
• Life Cycle Assessment (LCA)
• +۳ مورد دیگر

Sverker Molander is a Full Professor at the Environmental Systems Analysis group at Chalmers University. His research integrates systems approaches to analyze human-induced environmental change and its mitigation, with a focus on chemical risk assessment, material flows, and renewable energy systems. He actively collaborates with social scientists to examine technology-society-ecosystem interfaces and participates in international programs like Sida's collaboration with Universidade Eduardo Mondlane in Mozambique. SETAC Global Science Committee member Baltic Sea Foundation research delegation Kamprad Family Foundation scientific reviewer His work employs environmental risk assessments, life cycle analyses, and substance flow modeling, particularly examining: Toxicological impacts of nanomaterials Renewable energy environmental interactions Chemical exposure limit inconsistencies Multidisciplinary approaches to sustainability Risk communication in chemical supply chains Climate-chemical pollution intersections Recent publications demonstrate expertise in: Ecotoxicity extrapolation methods Machine learning for toxicity prediction Circular tungsten flows Marine energy collision risks Climate-adapted chemical management His research connects technical systems with societal and ecological considerations, emphasizing indicator development and interdisciplinary collaboration.

• Business Process Management
• Process Mining
• Object-Centric Process Mining
• +۶ مورد دیگر

Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.