Fadila Bentayeb is an Associate Professor (HDR) at the University of Lyon 2, affiliated with the ERIC Laboratory and the Department of Informatics and Statistics (DIS). She leads the Complex Data Warehousing and OLAP research team (SID) and has served as Head of the first year of the Master's degree in Computer Science at the Institute of Communication (ICOM) since 2014. Her work bridges academic research and practical applications in data-intensive systems. HDR (Habilitation to Direct Research), University of Lyon 2 (2011) Ph.D. in Computer Science, University of Orléans (1998) Her research focuses on NoSQL data warehouses, text warehousing, and personalization systems, with emphasis on scalable architectures and context-aware analytics. Recent work explores AI-driven security in IoT networks and temporal modeling for evolving data structures. Key trends in her publications include: (1) Graph-based multidimensional modeling (GAMM framework), (2) Optimization of distributed big data warehouses using machine learning, (3) Medical text classification via hybrid CNN-LSTM models, and (4) Temporal data warehouse evolution. As part of the ERIC Laboratory’s leadership team, she contributes to strategic research directions and mentors students in advanced data systems. Her technical expertise extends to Hadoop/Spark optimization, OLAP cube design, and semantic integration of heterogeneous data sources.
Daniele Menniti is an Associate Professor at the Department of Mechanical, Energy and Management Engineering of the University of Calabria. His expertise spans electric power system analysis, real-time control, and automation, with focus on harmonic pollution in distribution networks and decentralized control strategies for power system stabilization. He actively contributes to research in smart grids, microgrids, and renewable energy integration. Research Interests: Power systems security, FACTS devices, demand response, energy communities, voltage control, and renewable energy market models. Leadership: Head of research units for funded projects like RES NOVAE (€23M), SCADA (PON01_02582), and renewable energy programs. Publications: Over 250 research products, including recent work on DC nanogrids, prosumer aggregation, and renewable energy communities. Labs: Leads LASEER (Laboratory of Electrical Systems for Energy and Renewables) at University of Calabria.
Tania Gaspar is an Associate Professor with Aggregation at Lusófona University of Humanities and Technologies, where she serves as Director of the Center for Psychology, Innovation and Knowledge (CPIC). She holds multiple significant research and leadership positions including Principal Investigator for Portugal in the Health Behavior School-Aged Children/World Health Organization Study, Coordinator of the Portuguese Laboratory for Healthy Working Environments, and Focal Point for PROMS and PREMS at the OECD. Her work spans clinical practice, academic research, and public health initiatives. Her educational background includes: PhD in Psychology PhD in Management Aggregation (Portuguese academic qualification) Master's Degree in Public Health, specializing in Health Promotion and Prevention Bachelor's Degree in Clinical Psychology Dr. Gaspar's research focuses on the intersection of psychology, public health, and organizational behavior, with particular emphasis on adolescent health and well-being, workplace health ecosystems, and health promotion strategies. Her biopsychosocial approach examines how individual, social, and environmental factors interact to influence health outcomes across the lifespan. She has made significant contributions to understanding stress management, mental health, and quality of life in diverse populations including adolescents, working professionals, and older adults. Her extensive publication record demonstrates a consistent focus on applying psychological principles to real-world health challenges, with recent work examining healthy workplace ecosystems, positive youth development, and the impact of chronic conditions on adolescent participation in school and social settings. Her research often employs large-scale studies and cross-national comparisons, particularly through her involvement with the WHO's Health Behavior in School-Aged Children study. Dr. Gaspar holds leadership positions in multiple research organizations: Member of the Board of Directors and Researcher at the Digital Human-Environment Interaction Labs (HEI-LAB) Member of ISAMB / Research Center of the Faculty of Medicine of the University of Lisbon Collaborating member of the Comprehensive Health Research Center (CHRC) at NOVA Medical School Coordinator of the Portuguese Laboratory for Healthy Working Environments As a national executive coordinator of several European Studies and National Studies funded by the European Commission, Dr. Gaspar has secured significant research funding for projects examining health behavior, workplace wellness, and adolescent development. She also serves as Head of Labor Stress Management and Well-being at INOGRUP/Medicil (CUF Group), applying her research to practical organizational settings. Her dual expertise in psychology and management enables her to bridge theoretical research with practical implementation in healthcare and educational settings.
Panos Kypros Chrysanthis is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information, where he directs the Advanced Data Management Technologies Lab (ADMT Lab). He also holds adjunct professorships at Carnegie Mellon University and the University of Cyprus. Education: BS in Physics with concentration in Computer Science, University of Athens (1982) MS in Computer and Information Sciences, University of Massachusetts Amherst (1986) PhD in Computer and Information Sciences, University of Massachusetts Amherst (1991) Research Focus: Chrysanthis pioneers innovations in data management systems, with core expertise in Big Data, distributed/mobile computing, and real-time analytics. His work bridges theoretical advances with practical applications in sensor networks, workflow management, and urban data exploration, emphasizing architecture-aware optimizations and user-centric interfaces for complex data environments. Publication Trends: Recent works (2016-2018) reveal a strategic shift toward interactive data exploration, where his team develops frameworks for visual query recommendation (MuVE, REQUEST), architecture-aware graph processing (ARGO, PARAGON), and energy-conscious computing. These contributions address critical gaps in scalability, latency, and usability for modern data-intensive systems. Scientific Recognition: NSF CAREER Award (1995) for mobile data management ACM Distinguished Scientist and IEEE Senior Member Seven teaching awards and 2015 Provost Award for Excellence in Mentoring Funding & Leadership: Secured $1.8M NIH U01 grant for causal discovery in TOPMed data and multiple NSF awards. As Program Co-Chair for ICDE 2018 and General Co-Chair for BIRTE 2018, he shapes community standards while mentoring doctoral students through the ADMT Lab. Research Infrastructure: Founded the ADMT Lab in 1996 (celebrating 25 years in 2021), creating a hub for cutting-edge data management research with strong industry-academic partnerships focused on real-world deployment challenges.
Yang Wang is an Associate Professor of Public Affairs at the La Follette School of Public Affairs, University of Wisconsin-Madison, with faculty affiliations spanning the Center for Demography and Ecology, Center for Demography of Health and Aging, Center for Financial Security, Institute for Research on Poverty, and the Risk Management and Insurance Department in the Wisconsin School of Business. Her educational background includes: Ph.D. in Economics, Duke University M.A. in Economics, Duke University MIPA in International Public Affairs, University of Wisconsin-Madison B.A. in International Relations, Peking University Dr. Wang's research focuses on applied microeconomics, health economics, and applied econometrics, with publications in high-impact journals including the American Economic Journal: Applied Economics and Health Economics. Her work examines policy impacts on health outcomes, economic disparities, and demographic trends, notably contributing to The Oxford Handbook of Economics and Human Biology. Her recent 2025 publications reveal a significant expansion into intelligent transportation systems, with 15 articles centered on autonomous vehicle technologies. These works explore cloud-based driving systems, edge computing architectures, and vehicle-to-everything communication frameworks, addressing critical challenges in adverse weather navigation, safety protocols, and computational resource allocation for connected vehicles. As Co-Principal Investigator for the project 'The Consequences of Abortion Restrictions for Intimate Partner Violence and Child Welfare Involvement,' Dr. Wang leads interdisciplinary policy analysis. She teaches core courses including PA 281 Discovering What Works in Health Policy and PA 871 Public Program Evaluation, mentoring students in evidence-based policy design. Her research integrates with UW-Madison's ecosystem through collaborations with transportation innovation initiatives and demographic research centers, positioning her at the intersection of public policy and emerging technology governance.
Farzaneh Etminani is a Senior Lecturer at the School of Information Technology, Halmstad University. Her research focuses on Artificial Intelligence , Machine Learning , and Healthcare Informatics , with specific projects including CAISR Health , Evaluation of deep learning for LBD diagnosis , AIR – Artificially Intelligent use of Registers , and iMedA – Improving Medication Adherence . Her recent work includes explainable AI frameworks, synthetic electronic health records evaluation, and temporal modeling of clinical data. Key collaborations span neuroimaging, chronic disease prediction, and human-centered AI systems. She contributes to interdisciplinary research bridging computer science and clinical applications. Her publications cover topics such as: 3D deep learning for dementia diagnosis Transfer learning in neuroimaging Temporal fidelity in synthetic medical data Graph neural networks for clinical risk prediction Behavior change strategies in digital health interventions
Muhammad Umar B Niazi is a Marie-Curie Postdoctoral Fellow at both KTH Royal Institute of Technology and Massachusetts Institute of Technology , working under the guidance of Karl H. Johansson and Munther Dahleh respectively. Holding a Ph.D. in Automatic Control Engineering from Université Grenoble Alpes, Niazi's research spans secure monitoring of cyber-physical systems and dynamic incentive design for sociotechnical systems . Education : Ph.D. (Grenoble INP, 2021); M.Sc. & B.Sc. (Bilkent University, COMSATS) Research Directions : Secure estimation against cyberattacks in transportation networks and epidemic models Physics-informed learning for observer design in nonlinear systems Eco-driving incentives using Stackelberg game theory Aggregated monitoring of large-scale systems Scientific Contributions : 2025 publications on distributed observers and reachability analysis 2024 work on incentive mechanisms and sensor fault detection 2023 developments in physics-informed epidemic control 2022-2019 foundational work on network observability and opinion dynamics Awards : Marie-Curie Postdoctoral Fellowship (2022-2025) Best Student Paper Finalist, European Control Conference 2019 Niazi's interdisciplinary work combines control theory , game theory , and machine learning to address resilience in transportation, epidemic monitoring, and social network dynamics. His methods integrate theoretical rigor with practical implementations through tools like SUMO simulations and physics-informed neural networks.
Brian H. Lower is a Professor at The Ohio State University , holding appointments in the School of Environment and Natural Resources and School of Earth Sciences . He earned his Ph.D. in Biochemistry from Virginia Tech (2001) and a B.S. in Zoology (minor in Geography) from Kent State University (1995). His professional journey includes a postdoctoral associate role at Virginia Tech (2001-2004), senior scientist at Pacific Northwest National Laboratory (2004-2008), and faculty roles at Ohio State since 2008. Dr. Lower’s research focuses on Environmental Mineralogy & Chemistry and Environmental Microbiology , with a particular emphasis on magnetotactic bacteria , biomineralization , and mineral-microbe interactions . His work bridges biophysics , nanochemistry , and microbial ecology , exploring how bacteria manipulate magnetic fields and interact with environmental surfaces. The 15 most recent articles highlight his work on magnetotactic bacterial behavior , protein-mediated mineral synthesis , online science education , and biochar impacts on soil ecosystems . These publications span disciplines including biophysics , microbiology , nanotechnology , and environmental engineering . 2007 Pacific Northwest National Laboratory Outstanding Performance Award 2009 Virginia Tech CALS Outstanding Recent Alumni Award 2014–2017: Multiple teaching awards including Ohio State Alumni Award for Distinguished Teaching 2016 APLU-USDA Excellence in College and University Teaching Award As a Principal Investigator , Dr. Lower secures research grants from the National Science Foundation and Department of Energy . His laboratory investigates magnetosome formation , biofilm mechanics , and environmental nanotechnology , collaborating with interdisciplinary teams in geosciences and biomedical engineering.
Steven K. Lower is a Professor at The Ohio State University with appointments spanning the School of Environment and Natural Resources, School of Earth Sciences, and Department of Microbial Infection and Immunity. His interdisciplinary research bridges environmental science, earth sciences, and medical microbiology, focusing on the molecular interactions between microorganisms and mineral surfaces. Dr. Lower's educational background includes a B.S. in Biology & Geology, an M.S. in Environmental Chemistry from Kent State University, and a Ph.D. in Microbiology & Mineralogy from Virginia Tech. His career path took him from an Assistant Professor position at the University of Maryland (2001-2003) to his current professorship at Ohio State University (2003-present). His research interests center on environmental mineralogy and chemistry, geological and environmental microbiology, and medical microbiology. Dr. Lower specializes in studying how bacteria interact with mineral surfaces at the nanoscale, with particular focus on magnetotactic bacteria that orient along Earth's magnetic field and pathogenic bacteria like Staphylococcus aureus that form biofilms on medical implants. His laboratory employs atomic force microscopy and other nanoscale techniques to measure the fundamental forces governing these interactions. Analysis of Dr. Lower's recent publications reveals a strong interdisciplinary trend spanning environmental science, medical microbiology, and biophysics. His work connects fundamental physical principles with practical applications in environmental remediation and medical device safety. The research consistently applies nanoscale measurement techniques to understand bacterial behavior in both natural and clinical settings, with particular attention to how bacteria form aggregates and adhere to surfaces. Dr. Lower's scientific achievements have been recognized with several prestigious awards: National Science Foundation CAREER Award PECASE Award (presented by President Obama at the White House) Kavli Fellow, National Academy of Sciences Department of Energy (DOE) Best Research Award Clinical Research Forum Outstanding Research Award As a principal investigator, Dr. Lower has secured research funding from the National Science Foundation (NSF), National Institutes of Health (NIH), and Department of Energy (DOE). His laboratory maintains active collaborations across disciplines, particularly with his brother Brian H. Lower, and focuses on understanding the molecular mechanisms of bacterial adhesion to both natural mineral surfaces and medical implants. The research has significant implications for developing strategies to prevent bacterial infections on medical devices and understanding microbial processes in environmental systems.
Sali Mustapha is a Lecturer at Paris Dauphine University , focusing on supply chain dynamics and production planning. Their work bridges theoretical operations management with industrial applications, particularly in the automotive sector. Expertise in mass customization and sales and operations planning (S&OP) Specialized in inventory risk modeling and emergency supply chain strategies Research trends derived from 15 publications (2011-2023) reveal consistent themes in: MRP adaptation for uncertainty and non-stationary demand Bill of Materials (BOM) complexity in high-variety environments Batch sizing and sequencing problems with capacitated buffers Lean manufacturing and just-in-time assembly optimization Collaborative work with LAMSADE laboratory researchers (e.g., V. Giard, C. Chatras) underpins their contributions to supply chain resilience and automotive industry transformation .
Satenik Ghukas Petrosyan serves as Associate Professor at the Department of Pharmacochemistry and Pharmacognosy within the Institute of Pharmacy at Yerevan State University (YSU), Armenia. With continuous affiliation since 2002, she has progressed from Laboratory Assistant to her current academic role while maintaining research positions at the Biotechnology Research Institute and Armenian Biotechnology Center, demonstrating deep integration into Armenia's pharmaceutical research ecosystem. Her academic foundation includes a Certified Specialist degree from YSU's Faculty of Chemistry (Pharmaceutical Chemistry Department, 1998-2003) followed by a Candidate of Sciences (Chemical Sciences) from the Biotechnology Research Institute in 2011. Her doctoral research under Ashot Saghyan pioneered methods for the highly selective asymmetric synthesis of non-protein α-amino acids, establishing the trajectory for her current work. Dr. Petrosyan's research program centers on asymmetric synthesis of non-protein amino acids with therapeutic applications, particularly investigating their interactions with biological targets like G-quadruplex DNA and serum albumins for anticancer drug development. Her work spans molecular design, binding mechanism analysis, and biological activity assessment, with recent studies examining fibroblast proliferation effects and drug delivery optimization through protein binding studies. Analysis of her 2021-2025 publications reveals consistent innovation in synthetic methodology and biological evaluation. Key trends include development of DNA-binding amino acids for c-Myc oncogene targeting, serum albumin interaction studies for drug delivery enhancement, and analytical method development for pharmaceutical compounds in biological matrices. Her interdisciplinary approach bridges organic chemistry, biochemistry, and pharmaceutical sciences with increasing international collaboration. While no specific scientific awards are documented in available materials, Dr. Petrosyan holds significant academic leadership positions as Chairman of the Methodological Council and Member of the Scientific Council at YSU's Institute of Pharmacy since 2017, influencing curriculum development and research direction. Current information does not indicate doctoral students under her supervision or specific research grants secured. Her collaborative network spans Armenian institutions and international partners, particularly evident in co-authored publications with Italian and Russian researchers on biomolecular interactions and synthetic chemistry. Dr. Petrosyan maintains active laboratory operations within YSU's Department of Pharmacochemistry and Pharmacognosy, where her team focuses on synthesizing novel amino acid derivatives and characterizing their biological properties. Her methodological council leadership ensures integration of these research advances into pharmacy education at Armenia's premier university.
Andrey I. Lyakhov is a Professor and Doctor of Computer Science at the Institute for Information Transmission Problems of the Russian Academy of Sciences. He serves as the Head of Laboratory №18 and has been active since 1959. His research focuses on wireless networks, particularly IEEE 802.11 and 802.16 protocols. Position: Laboratory Chief Affiliation: Institute for Information Transmission Problems, Russian Academy of Sciences Research Interests: Wireless Networks, MAC Protocol Analysis, Network Performance, Distributed Control, Multicast QoS, Channel Assignment His work includes analytical modeling of data transmission, beaconing in mesh networks, and studies on network unfairness and congestion. He has contributed to patents in wireless sensor networks and piconet beacon management. Notable publications span wireless LANs, WiMAX, and sensor network optimization. Lyakhov's research has involved collaborations with international conferences and journals, focusing on throughput estimation, channel contention, and quality of service in wireless systems. Recent publications include studies on bandwidth piggybacking (2010), intra-flow interference in mesh networks (2010), and multicast QoS support in WLANs (2007). Earlier works from 1983-2008 cover foundational topics in queueing theory, cache efficiency, and distributed control systems.
Dr. Nada Lallous serves as an Assistant Professor in the Department of Urologic Sciences at the University of British Columbia's Faculty of Medicine and Senior Research Scientist at the Vancouver Prostate Centre. Her research focuses on cancer drug development, particularly targeting molecular mechanisms of prostate cancer progression, metastasis, and therapeutic resistance through biochemical and biophysical approaches. Her educational background includes a M.Sc and Ph.D in Structural Biochemistry and Biophysics from the University of Strasbourg and the Institute of Genetics and Molecular and Cellular Biology (IGBMC) in France, followed by postdoctoral training at the Spanish National Cancer Research Centre (CNIO). She joined the Vancouver Prostate Centre in 2012 and was appointed Research Scientist in 2017. Dr. Lallous' research expertise spans cancer biology, protein biochemistry, drug design, and structural biology. She has extensive experience in protein characterization, X-ray crystallography (contributing to 20 Protein Data Bank structures), and preclinical validation of novel inhibitors. Key interests include androgen receptor signaling, transcription factors, biomolecular condensates, and overcoming therapeutic resistance in prostate and breast cancers through targeting molecular drivers like Lin28 and Myc. Analysis of her 2023-2025 publications reveals a dominant focus on androgen receptor (AR) biology in prostate cancer, with significant emphasis on AR variants (AR-V7), phase separation phenomena, and development of novel inhibitors targeting AR domains, Lin28-let-7 interactions, and Myc-Max dimerization. Her work integrates computational drug design, structural biology, and functional validation to address therapeutic resistance. Dr. Lallous has secured competitive funding including an NIH-SPORE grant from the National Cancer Institute to study androgen receptor variants in circulating tumor DNA. She mentors graduate students in UBC's Experimental Medicine program, including PhD candidate Louise Ramos working on bifunctional PARP-HDAC inhibitors. She actively collaborates with pharmaceutical companies on drug development projects. As manager of the protein bioengineering and biophysics group at the Vancouver Prostate Centre, Dr. Lallous is establishing a core facility to support preclinical drug validation and structural studies for cancer researchers, enabling high-throughput inhibitor screening and biophysical characterization.
Zhenkun Li is a Postdoctoral Researcher at Aalto University’s Department of Civil Engineering, specializing in structural health monitoring (SHM) and computational methods. His research focuses on indirect SHM techniques, leveraging vehicle responses and machine learning for bridge damage detection. Research Interests: Structural Engineering, Bridge Health Monitoring, Machine Learning, Signal Processing, and Drive-By Inspection Methods. His work integrates convolutional neural networks, deep learning, and physics-guided models to analyze bridge dynamics via shared scooters, smartphones, and instrumented vehicles. Publication Trends: Recent articles (2023–2025) emphasize data-driven SHM, explainable machine learning for asphalt modeling, and innovative frameworks for bridge frequency identification. Techniques include multisynchrosqueezing transforms, Mel-frequency cepstral coefficients, and crowdsensing for real-time damage detection.
Firas Al-Doghman is a Lecturer at the School of Computer Science, University of Technology Sydney. With expertise in Machine Learning, Cybersecurity, and Internet of Things (IoT), he teaches subjects like iOS Applications, Networking, and Data Engineering while conducting research on smart algorithms and their cybersecurity applications. PhD in Computer Engineering and Data Management (UTS, 2020) Teaching since 2017 at UTS Former Associate Researcher/Lecturer at UNSW ADFA Research focuses on: Machine Learning integration with cybersecurity Blockchain applications in real estate Edge computing security frameworks Consensus-based data aggregation Publications highlight advancements in: Cybersecurity for supply chains Fractional NFTs in property ownership Carbon credit price prediction models Secure microservices orchestration Key collaborations include researchers from UNSW and industry partners.
