Sara Santos is an Assistant Professor at Universidade Aberta and Adjunct Professor at ISCA-University of Aveiro , with a career spanning marketing, digital communication, and tourism management. She holds a PhD in Management (2019) and a Master's in Marketing (2014) from the University of Porto , alongside a Bachelor's in Communication (2007) from the Polytechnic Institute of Coimbra . Education : PhD in Management (University of Porto, 2019), Master's in Marketing (University of Porto, 2014), Bachelor's in Communication (Polytechnic Institute of Coimbra, 2007) Her research focuses on social media engagement , brand management , and tourism video advertising , with projects like STORYTur (2022-2024) analyzing storytelling in tourism promotion. Publications emphasize word-of-mouth dynamics , narrative transportation , and CSR in fashion marketing , often in collaboration with researchers like Luísa Augusto and Pedro Espírito Santo. Notable scientific awards include the Best Thesis Award 2015 in Marketing and Innovation Systems. She has advised over a dozen Master's students on topics ranging from CRM integration to social media's role in hospitality, and served as a jury member for theses on neuromarketing and cemetery tourism. Her peer-review activities span conferences like ICMarketech and DIGICOM , reflecting her expertise in digital marketing and communication.
Jianmin Guan, Ph.D., serves as Associate Professor of Kinesiology within the College for Health, Community and Policy at the University of Texas at San Antonio (UTSA). His academic work bridges physical education pedagogy, motivational psychology, and cross-cultural fitness assessment methodologies, with emphasis on student engagement in activity settings. Education: Ph.D. in Sport Pedagogy, Texas A&M University (2004) Master of Education in Measurement and Evaluation, Wayne State University (1999) Master of Education in Sport Pedagogy, Shanghai Institute of Physical Education (1993) Bachelor of Science in Kinesiology, Huizhou Normal College (1984) Dr. Guan's research centers on achievement goal theory applications in physical education, examining how work-avoidance and mastery-approach goals influence student persistence across developmental stages. His work extends to health-related fitness evaluation among minority populations and sensory integration interventions using sport-based protocols, with particular focus on Chinese student cohorts. Methodologically, he employs longitudinal growth modeling, MIMIC analyses, and cross-cultural validation techniques. His recent publications (2022-2025) demonstrate consistent investigation of achievement goal trajectories from elementary through college levels, alongside innovative comparative studies of global fitness testing frameworks. The research reveals persistent gender disparities in physical competence perception and identifies declining mastery-goal intensity during adolescent transitions, while establishing basketball training as an effective sensory integration modality. Scientific Awards: Research Fellow, Society of Health and Physical Educators (SHAPE America, 2007) Research Funding: Secured $29,732 across two grants (2018-2019) for Psychological Skills Inventory development targeting law enforcement populations. His presentations at AAHPERD conventions and Pre-Olympic conferences reflect extensive national and international scholarly engagement, particularly with Chinese research institutions on fitness knowledge assessment and sensory processing interventions. Dr. Guan maintains active international collaborations, especially with Chinese universities, developing culturally responsive physical activity interventions while addressing measurement challenges in diverse educational contexts.
Ross Horne is a Senior Lecturer in the Department of Computer & Information Sciences at the University of Strathclyde, Glasgow, United Kingdom. He is a member of the StrathCyber and Mathematically Structured Programming research groups. Education: PhD (University of Southampton, 2012), BA (Oxford University, 2005) Prior Appointments: Research Fellow at University of Luxembourg (2018-2023), Senior Research Fellow at Nanyang Technological University (2015-2018), Associate Professor at Kazakh-British Technical University (2012-2015) Research Interests: Dr. Horne's work focuses on security and privacy protocols for digital systems, particularly addressing threats in payment technologies, ePassports, and decentralized identity management (e.g., Solid protocol). His theoretical contributions bridge concurrency theory, proof theory, and logic through applications to security verification and process calculi. Developed formal models for unlinkability in EMV payment protocols Created intuitionistic logical frameworks for process equivalence Explored graphical proof systems beyond formulaic representations Investigated legal-compliant AI for space systems (CubeSat anomaly detection) Scientific Contributions: He has published extensively in top venues including ACM CCS, IEEE CSF, LICS, and CONCUR. His 2017 CONCUR best paper introduced intuitionistic characterizations of bisimilarity. Principal Investigator for EU COST Action on Distributed Knowledge Graphs Co-developed privacy models adopted in Luxembourg parliamentary responses Advising: Currently accepting PhD students with strong mathematical and computer science skills for research in security/privacy of emerging systems. Former student Semen Yurkov completed a thesis on privacy-preserving smart card payments. Interdisciplinary Work: Collaborates with space lawyers through the Interdisciplinary Master Program in Space Resources. Projects include AI for CubeSat reliability and legal-compliant software certification frameworks.
Prof. Manoj A G Namboothiry is an esteemed academic at the Indian Institute of Science Education and Research Thiruvananthapuram , serving as Professor in the School of Physics since 2017 June. His expertise spans semiconductor devices, quantum materials, and optoelectronics, with a focus on organic, hybrid, and 2D materials. Ranks: Associate Professor (2017–Present), Assistant Professor (2010–2017) Research Focus: Organic solar cells, perovskite devices, photodetectors, interface engineering, and 2D material applications Techniques: Impedance spectroscopy, transient photovoltage, photo CELIV, and defect analysis Email: manoj@iisertvm.ac.in His Molecular Opto and Bio-Electronics Lab explores next-generation semiconductor technologies, addressing global energy and health challenges through device innovation. Recent work includes metal nanoclusters for interface engineering , defect passivation in perovskites , and anomalous photocurrent dynamics in WS2 . The group has published in high-impact journals like Advanced Energy Materials and ACS Nano . Scientific Recognition: Celebrated for advancing semiconductor understanding and honored with a Best Paper Award at the International Conference on Energy, Environment and Health (2024).
Aleksey Zaytsev is a Senior Lecturer at Skoltech, where he leads the Applied Research Laboratory «Skoltech-Sberbank» at the Center for Applied Artificial Intelligence. He holds a PhD in Physics and Mathematics and is a laureate of the Moscow Government Prize for Young Scientists. Education: PhD in Physics and Mathematics His research focuses on artificial intelligence, particularly on developing predictive models for geospatial analysis, drilling safety, and aerospace engineering. He has created practical AI solutions for drought prediction, accident prevention, and aircraft quality monitoring. His work also emphasizes model reliability and safe deployment in industrial contexts. The recent studies highlighted his contributions to neural network accuracy in banking applications, algorithmic hesitation for improved decision-making, and geospatial data optimization. These works demonstrate interdisciplinary applications of AI in environmental, financial, and engineering domains. Scientific Awards: Moscow Government Prize for Young Scientists As head of the Artificial Intelligence Center's applied research lab, Zaytsev bridges academic research with industry needs, particularly in AI safety and real-world implementations. He also engages in public education through lectures like 'How to Deceive Artificial Intelligence' at the Yeltsin Center, addressing AI vulnerabilities and security implications.
Andrew Wessman is an Assistant Professor in the Department of Materials Science and Engineering at the University of Arizona, where he has served since August 2019. His expertise bridges industrial and academic domains, with a prior 14-year tenure at GE Aviation/GE Additive focused on high-temperature alloys and additive manufacturing (AM) processes. Education: PhD in Materials Science and Engineering, University of Cincinnati MS in Metallurgical Engineering, University of Utah BS in Metallurgical Engineering, University of Utah Wessman’s research centers on physical metallurgy, mechanical behavior of materials, and AM alloy/process design. His work emphasizes high-temperature alloys for aviation, computational modeling, and process optimization in additive manufacturing. Recent publications highlight his focus on AM technologies, including Ti-6Al-4V and Ni-based superalloys, with advancements in microstructural stability, defect mitigation, and machine learning-based process monitoring. His 2023–2025 studies explore fatigue mechanisms, interfacial stability, and thermal treatments. Scientific Awards: Recognized as “Most Supportive Junior Faculty” for MSE Faculty Core Faculty (2019–2020) Wessman’s scholarship includes 1 book chapter, 18 refereed publications, and 8 issued patents. His teaching interests span metal additive manufacturing, solid-state chemistry, and alloy design.
Grzegorz Greczynski is a Professor and Head of the Unit of Fundamental Science of Thin Films at the Department of Physics, Chemistry and Biology (IFM) at Linköping University. A pioneer in high power impulse magnetron sputtering (HiPIMS) and X-ray Photoelectron Spectroscopy (XPS), he focuses on low-energy ion/surface interactions for nanostructure control during thin film growth, particularly for transition-metal-based nitrides, borides, and carbides. His work bridges industrial applications and academic innovation, with collaborations spanning the University of Illinois (USA) and Aachen University (Germany). PhD in Materials Physics (2001) from Linköping University MSc in Materials Physics (1997) from University of Science and Technology, Krakow, and Linköping University Research interests include: Development of non-destructive XPS analysis methods High-power impulse magnetron sputtering (HiPIMS) for thin film deposition Surface charging mitigation in insulating thin films Phase evolution in nitride and diboride thin films Mechanical properties of multilayer coatings Binding energy referencing in spectroscopy Scientific contributions highlight trends in: Advancements in XPS reliability and calibration Energy-efficient magnetron sputtering techniques High-entropy alloy thin films for extreme environments Space mission plasma probe technology Nanostructured coatings for oxidation resistance Surface analysis of catalytic materials Awards: Fellow of the American Vacuum Society (2018) Collaborations include researchers like Prof. Lars Hultman (LiU), Prof. Joe Greene (University of Illinois), and Prof. Jochen Schneider (Aachen University). His work impacts industries ranging from space exploration to biomedical coatings.
Evgeny Khorov is a Full Professor and Deputy Chair at Moscow Institute of Physics and Technology (MIPT) and Head of the Wireless Networks Lab at the Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS) and the Telecommunication Systems Lab at Higher School of Economics (HSE). His research focuses on 5G/6G systems , next-generation Wi-Fi , Wireless IoT , and QoS-aware optimization. Ph.D. (2012) and D.Sc. (2022) in Telecommunications from IITP RAS and MIPT Visiting Research Fellow at King's College London (2015) His work includes mathematical modeling of networking protocols, Wi-Fi standardization (IEEE 802.11), and contributions to Wi-Fi 6 (802.11ax) and Wi-Fi 7 (802.11be) . He supervises students and has co-authored over 200 papers. Recent articles highlight advancements in Wi-Fi 7/8 , URLLC , 5G multi-connectivity , and machine learning for traffic classification . Scientific Awards: Best Demo Award, ACM Mobihoc (2022) Best Paper Awards: IEEE ISWCS (2012), Elsevier Computer Communications (2018), IEEE PIMRC (2019) Moscow & Russian Government Prizes for Young Scientists (2013, 2016) Scopus Award Russia (2018) Best Cooperation Project Leader (multiple times) He serves as Editor-in-Chief of Problems of Information Transmission (since 2024) and chairs major IEEE conferences (Globecom 2018 Workshop, BlackSeaCom 2019).
Gian-Gabriel Garcia is an Assistant Professor and Harold E. Smalley Early Career Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, with a dual role as Pillar 1 Co-lead in Data Science, Machine Learning, and Artificial Intelligence at the Children's Healthcare of Atlanta Pediatric Technology Center. His work bridges predictive analytics and decision-making frameworks in healthcare contexts. Education : PhD and MS in Industrial and Operations Engineering (University of Michigan), BS in Industrial Engineering (University of Pittsburgh) Research focuses on responsible AI for healthcare, emphasizing health equity , stochastic optimization , and machine learning applied to concussion management, opioids, maternal health, and cardiovascular disease. His methodologies integrate dynamic programming and simulation to address stakeholder acceptability. Key article themes include concussion diagnostics , responsible AI in diabetes care, and interpretable policies for chronic disease management. His work frequently leverages Markov decision processes and stochastic modeling . Scientific Awards National Science Foundation Graduate Research Fellowship INFORMS Bonder Scholarship for Applied Operations Research in Health Services SMDM Lee B. Lusted Prize INFORMS Minority Issues Forum Paper Competition First Prize INFORMS Minority Issues Forum Poster Competition First Prize Garcia also contributes to undergraduate mentorship and serves as Vice President of Communications (co-chair) for the INFORMS Minority Issues Forum, alongside council membership in the INFORMS Health Applications Society.
Dr Thamo Sutharssan is a Senior Lecturer at the University of East London within the Department of Engineering & Construction, School of Architecture Computing and Engineering. A Chartered Engineer and Chartered Manager, he leads both the BEng Aeronautical Engineering and BSc Railway Engineering programs, leveraging extensive prior experience at the University of Portsmouth, Havering College, Derby College, and Rolls-Royce Aerospace Academy. His academic qualifications include a BSc in Electrical & Electronic Engineering, an MSc in Aeronautical Engineering, and a PhD in Computing and Mathematics. Dr Sutharssan's research spans Aeronautics, Embedded systems, System integration, Machine learning, and Prognostics and Health Management (PHM). His work addresses critical reliability challenges in engineering systems, with significant contributions to fuel cell monitoring (2017 review cited 261 times) and data-driven PHM approaches (2015 review cited 145 times). Recent publications demonstrate expansion into AI-driven medical imaging and autonomous robotics. His publication trajectory reveals consistent expertise in prognostics evolving toward cutting-edge AI applications, with highly influential reviews establishing foundational methodologies now widely adopted in energy systems and electronics reliability engineering. Scientific recognition includes: Fellow of the Higher Education Academy Research leadership encompasses a £177,500 Knowledge Transfer Partnership project on fuel cell Balance of Plant systems, alongside academic service as Review Manager for the Prognostics and Health Management Society conferences since 2014. His industry collaborations include Scottish and Southern Energy and Sustainable Energy Technologies. Current academic partnerships involve Heriot-Watt University and New Mansoura University (Egypt), focusing on energy systems integration and engineering education development.
Michael Ruth is an Associate Professor and Program Director of Computer Science & Cyber Security in the Department of Computer Science and Information Technology at Roosevelt University, within the College of Science, Health and Pharmacy. He joined the university in 2009 as an Assistant Professor and was promoted to Associate Professor in 2015 after completing his PhD at the University of New Orleans. His educational background includes: Ph.D. in Engineering & Applied Science from the University of New Orleans M.S. in Computer Science from the University of New Orleans Dr. Ruth's research centers on software engineering with specialized focus on software testing and distributed systems. His primary contributions involve developing decentralized regression test selection frameworks for web services, addressing critical challenges in balancing service provider constraints with testing effectiveness. His work explores concurrency management, fault locatability, and benchmark development for web service testing. Analysis of his 11 publications (2005-2010) reveals consistent thematic focus on regression testing methodologies for service-oriented architectures. Key research trajectories include client-side framework development for resumable applications, adaptation of SRMR messaging protocols, and empirical validation of decentralized testing frameworks. His publications demonstrate progressive refinement of techniques for web service testing while maintaining practical applicability in distributed environments. Scientific awards: No scientific awards or fellowships were mentioned in the source materials. Regarding academic advising and research funding, the available documentation does not specify any graduate students supervised or grant awards received. His industrial experience includes software development roles with the US Navy and network engineering at a New Orleans bank prior to his academic appointment. No dedicated research laboratories or specialized teams are described in the provided information, though his academic genealogy traces through notable figures including Frederick Terman and Vannevar Bush.
Kate M. Lesciotto, JD, PhD, D-ABFA is an Assistant Professor at the Center for Anatomical Sciences , affiliated with the College of Biomedical and Translational Sciences at UNT Health in Fort Worth, TX. Her work bridges forensic anthropology, biomechanics, and legal systems, focusing on skeletal analysis, trauma interpretation, and the Daubert standard's impact on forensic science. Education PhD in Anthropology, Pennsylvania State University (2020) MS in Forensic and Biological Anthropology, Mercyhurst University (2015) Juris Doctor (JD), Washington University in St. Louis (2009) BS in Biological Science and Zoology, Colorado State University (2004) Her research centers on forensic anthropology , with three primary areas: (1) sex estimation from skeletal remains using metric/morphological data and statistical models; (2) biomechanics of skeletal trauma via experimental bending models and medical imaging; and (3) the intersection of forensic anthropology and legal systems , particularly Daubert standard admissibility criteria. Recent projects include NSF/National Institute of Justice-funded software development for sex estimation and collaborations on cranial bone development studies. Dr. Lesciotto's publications reflect expertise in forensic identification , methodological validation , and science communication . She has contributed to software tools, biomechanical protocols, and educational outreach initiatives like March Mammal Madness. Her 2021-2025 work demonstrates consistent focus on improving forensic accuracy, legal standards, and developmental imaging techniques. Scientific Awards ABFA Board-Certified Forensic Anthropologist (2023) As a practicing forensic anthropologist, she consults for Texas counties and trains law enforcement. At UNT Health, she directs Graduate Structural Anatomy (PHAN 5301) and teaches gross anatomy to medical, physical therapy, and physician assistant students. Her work integrates biomedical research , legal analysis , and pedagogical innovation , reflecting interdisciplinary expertise in forensic science.
Kahadawala Cooray is a Professor at the Department of Statistics, Actuarial and Data Sciences within the College of Science and Engineering at the University of Nevada at Las Vegas. He holds a Ph.D. from the same institution (2008) and a B.Sc. from the University of Colombo, Sri Lanka (1994). Education : Ph.D. (2008, University of Nevada at Las Vegas), B.Sc. (1994, University of Colombo, Sri Lanka) Cooray specializes in modeling continuous statistical distributions and applying them to actuarial science and medical research. His work includes parametric analysis of renal failure data, Bayesian estimation of composite distributions, and extensions of the Weibull and Gumbel distributions for complex datasets. His research trends focus on creating flexible statistical models for heavy-tailed data, multivariate dependence structures, and applications in insurance risk analysis. Key contributions include generalized copulas, folded logistic distributions, and hybrid Weibull-Pareto models for survival analysis. Scientific Awards : First Ph.D. graduate in mathematical sciences in Nevada (2008) Wolzinger Family Research Scholarship (2008) Cooray teaches courses in statistics and actuarial science, and he is affiliated with the American Statistical Association and its Mid-Michigan Chapter. His collaborations include researchers like M. M. A. Ananda and S. Gunasekera.
Gabriella Lillsunde-Larsson is a Senior Lecturer and Associate Professor at the Örebro University School of Health Sciences , with a 30% appointment at the Department of Laboratory Medicine, Örebro University Hospital. Her work bridges biomedical laboratory science and clinical oncology , focusing on HPV-induced cancers and translational research. PhD in Biomedicine (2015) - Thesis: Characterization of HPV-induced vaginal and vulvar carcinoma Current research projects: HPV gene variation and protein expression as prognostic markers Molecular triage for cervical screening Prognostic biomarkers in prostate cancer Research Focus: Gabriella investigates biological and prognostic factors in HPV-induced genital cancers, prostate cancer, and endocannabinoid signaling. Her work includes cost-effectiveness analysis of self-sampling methods and international collaborations on cervical screening policies. Publications: Recent work explores molecular triage in cervical screening, HPV genotyping in HIV-endemic regions, and protein expression markers in vaginal carcinoma. Her studies (2022-2025) emphasize translational applications of HPV research and laboratory science innovations. Academic Leadership: Program Manager for the Master's Program in Methods in Medical Diagnostics Vice Chair of the Institute of Biomedical Laboratory Science (IBL) President of the International Federation of Biomedical Laboratory Science (IFBLS) since 2024 Örebro University representative in the Regional Cancer Center (RCC) Central Sweden International Engagement: Active in WHO collaborations through IFBLS, scientific committee member for global HPV congresses, and contributor to professional education standards across Nordic countries.
Kathleen Barker is a Professor in the Department of Psychology at Medgar Evers College, part of the City University of New York (CUNY) system. She holds a PhD in Social-Personality Psychology from The Graduate Center, CUNY, earned in 1990. Dr. Barker has served in various leadership roles within CUNY, including as Chair of the Medgar Evers Faculty Senate (2022-2024), Vice Chair of the University Faculty Senate (2016-2020), and member of the UFS Executive Committee (2012-2016). Dr. Barker's educational background includes a doctorate in Social-Personality Psychology from The Graduate Center of The City University of New York, completed in 1990. Her academic journey has positioned her as a social psychologist with expertise in both theoretical and applied aspects of the field. Her research interests span multiple domains within social psychology and beyond. As a social psychologist, she conducts multidisciplinary research focusing on nonstandard work arrangements, higher education systems, social justice issues, and methodological concerns in research. Her work on bibliometrics has been particularly influential, examining how citation analysis and impact factors can be used (and potentially abused) in academic personnel decisions. She has extensively studied self-efficacy as a construct for evaluating student outcomes, developing assessment tools like the Evaluation Self-Efficacy Scale. Her research also addresses gender issues in the workplace, particularly examining the experiences of women in full- and part-time employment. Analysis of her recent publications reveals a strong emphasis on bibliometrics and self-efficacy measurement within social work education. Her scholarly output demonstrates a consistent focus on methodological rigor and the application of psychological principles to real-world issues in education and employment. The interdisciplinary nature of her work bridges psychology, social work, education, and organizational behavior, with a particular emphasis on developing valid assessment tools and examining research impact through bibliometric analysis. Co-edited book 'Contingent Work: American Employment Relations in Transition' selected as noteworthy book in industrial relations and labor economics by Princeton University's Firestone Library Named to the American Psychological Association's 2005 and 2006 panels on the Work Force in Psychology Assisted in establishing the APA Center for Workforce Analysis through her panel work Contributed to the development of the Evaluation Self-Efficacy Scale, widely used in social work education assessment Dr. Barker has been actively involved in mentoring through her role as a professor and her service on university committees. Her leadership roles in the University Faculty Senate and Medgar Evers Faculty Senate have positioned her to influence academic policy and governance across CUNY. While specific grant information isn't detailed in the provided texts, her extensive publication record suggests successful research funding. She has served as a network member for the Alfred P. Sloan Foundation, indicating recognition of her expertise in workforce issues. Her leadership extends to committee work, including chairing the Committee on the Faculty Experience Survey of the University Faculty Senate, which produced the comprehensive FES:09 report documenting faculty experiences across CUNY. Dr. Barker has been instrumental in revitalizing the Medgar Evers College Faculty Senate, establishing its first web page and programming speakers on topics such as shared governance, budget processes, parliamentary procedures, and workplace bullying. Her work with the University Faculty Senate's Academic Affairs Advisory Committee and her participation on the CUNY Board of Trustees' Committee on Faculty, Staff and Administration demonstrate her commitment to institutional improvement. She has also served as Senior College Representative on the Executive Council of the Professional Staff Congress (the faculty and staff union) and as a Grievance Counselor, showing her dedication to faculty rights and workplace issues.
