Multi-media Distance Learning Professors and Supervisors

Pino Alexandrosمشاهده پروفایل

مدرس

National and Kapodistrian University of AthensGreece

Pino Alexandros is a Lecturer in the Department of Informatics and Telecommunications at National and Kapodistrian University of Athens (NKUA), affiliated with the School of Sciences. He has held roles including Laboratory Teaching Staff (EDIP) since 2014 and researcher in the Voice and Accessibility Lab since 1997. His expertise spans Human-Computer Interaction, Assistive Technologies, and Web Accessibility. Educations: PhD (2012): NKUA, Topic: Open Source Software for AAC Applications. MSc (2003): NKUA, Major: Communications and Networks. BEng (1995): Democritus University of Thrace, Field: Energy Engineering. Research Interests: Development of assistive technologies for motor and sensory impairments. Accessibility of digital content (web, eTextbooks, cultural heritage). Human-Computer Interaction design for inclusive systems. Gesture-based interfaces and real-time signal processing. Grants & Projects: EU-funded projects (e.g., InSIDE, HERMOPHILOS) focusing on inclusive education and accessible technologies. National initiatives on assistive tech inventory systems and web accessibility frameworks. Labs/Teams: Active contributor to the Voice and Accessibility Lab, leading work on AAC systems and assistive tech evaluation.

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Susanne Johanssonمشاهده پروفایل

پژوهشگر

Peace Research Institute FrankfurtGermany

Susanne Johansson is a Researcher at the Peace Research Institute Frankfurt (PRIF), working within the Research Department of Transnational Politics. She has been with PRIF since 2021 and is currently leading research activities in the PrEval project, which focuses on developing and redesigning evaluation formats and structures for extremism prevention, democracy promotion, and civic education in Germany. Her academic credentials include a Diploma in Educational Sciences from the University of Marburg (2000), an M.A. in French from the University of Marburg (1998), and a License de Lettres Modernes from Université Stendhal, Grenoble (1995). She has pursued specialized training through a Certificate in Peace and Conflict Studies (2001) from Fernuniversität Hagen, a Diploma in "Human Rights and Forced Displacement" (2016), and a Certificate in "Religion/Faith, Conflict and Peacebuilding" (2017) from the University for Peace, plus a Summer School on U.S. Immigration at Yale University (2015). Johansson's research centers on radicalization processes, the intersection of religion and conflict, and qualitative evaluation methodologies. Her work demonstrates deep expertise in extremism prevention, particularly examining how religious identities interact with conflict dynamics in German society. She has developed sophisticated approaches to evaluating prevention programs, with recent work focusing on digital spaces and their dual role in both radicalization processes and democratic engagement. Her gender-sensitive biographical analyses of Islamist extremism pathways represent innovative methodological contributions to the field. Analysis of her publication history reveals a clear evolution from foundational work on refugee integration (2014-2016) to increasingly sophisticated examinations of extremism prevention methodologies (2019-2024). Her recent scholarship shows growing attention to digital dimensions of political education, with multiple 2023-2024 publications addressing evaluation challenges in online spaces. The consistent thread throughout her work is a commitment to bridging academic research with practical application in policy and educational settings. As an active contributor to collaborative research, Johansson has presented her findings at numerous conferences including the PrEval symposium in Berlin (2023) and specialized workshops on early distancing from Islamist extremism (2022). Her work with the PrEval project demonstrates ongoing engagement with practical implementation of research findings, particularly through developing evaluation frameworks that can be adopted by practitioners in democracy promotion and extremism prevention fields.

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Lauren Markمشاهده پروفایل

استادیار

State University of New York at New PaltzUnited States

Lauren Mark serves as Assistant Professor in the Department of Communication at the State University of New York at New Paltz, with office JFT 320 and contact details (845) 257-3438 and markl@newpaltz.edu. Her research critically examines intersections of culture and communication through transformational frameworks, utilizing theories of rhythm, time, and relationality to investigate contextual influences on communicative interactions. She specializes in analyzing foregrounded and backgrounded cultural expectations across research methodologies, face-to-face encounters, and mediated representations, with particular focus on Asian perspectives, identity performance, and storytelling. Recent publications (2016-2024) demonstrate interdisciplinary reach across communication studies, cultural theory, and performance, with recurring themes in somatic education, post-qualitative methodologies, model minority critiques, virtual community building, and neurodiversity. Her work consistently bridges theoretical rigor with practical applications in education and social justice contexts. Awards include: 2021 Outstanding Graduate Teaching Award (Hugh Downs Department of Human Communication) 2020-2021 Fulbright Semi-Finalist 2019 Dessie Larson Graduate Fellowship in Performance Studies Dr. Mark's collaborative projects like Storyscope indicate active community engagement, while her Fulbright recognition and fellowship demonstrate competitive research funding success. Her mentorship extends through philosophical mentoring frameworks and multi-authored publications across diverse topics. Current creative initiatives focus on virtual performance adaptation during crises and embodied communication pedagogy, reflecting commitment to evolving communication challenges in digital and pandemic contexts.

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Djordje Obradovicمشاهده پروفایل

پژوهشگر

Singidunum UniversitySerbia

Djordje Obradovic is a researcher at Singidunum University with a focus on artificial intelligence, fuzzy logic, and geospatial analysis. He holds a Ph.D. in Electrical Engineering and Computer Science from the University of Novi Sad (2011). Education: B.Sc., M.Sc., Ph.D. in Electrical Engineering and Computing, University of Novi Sad (1992–2011) His research spans machine learning, neural networks, and fuzzy systems applied to diverse domains including medical imaging, environmental monitoring, and social media analysis. Recent publications highlight his work on air quality modeling and panoramic image processing in GIS applications. Key contributions include intelligent systems for scoliosis screening using low-cost sensors and innovative approaches to big data management through fuzzy sets and graph theory. He actively participates in international conferences like ICIST and Sinteza, often collaborating with multidisciplinary teams. At Singidunum University, Obradovic contributes to postgraduate studies while developing software architectures for geospatial data processing, educational technology, and inspection management systems. Notable projects include SCORM-compatible e-learning platforms, anthropomorphic gait simulation systems, and web-based tools for topographical symbol detection.

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David Vaidisمشاهده پروفایل

پژوهشگر

University of Toulouse-Jean JaurèsFrance

David Vaidis is a researcher at the Cognition, Languages, Ergonomics (CLLE) laboratory, a joint research unit affiliated with the University of Toulouse-Jean Jaurès. His academic career centers on cognitive dissonance theory, with significant contributions through numerous publications, books, and leadership in large-scale replication efforts. His research spans multiple dimensions of social psychology, with particular focus on attitude formation and change, inconsistency processing, expectation violation, and commitment mechanisms. Vaidis has emerged as a key figure in the movement toward methodological rigor, leading multi-lab replications of classic cognitive dissonance paradigms that address replication challenges in psychological science. His scholarly output includes two foundational books: La dissonance cognitive: Approches classiques et développements contemporains (2011) and Degré d'inconsistance, Engagement, et Information (2010). Recent publication trends reveal a strategic shift from purely theoretical explorations to methodological innovation and collaborative science. His 2024 multi-lab replication of the induced-compliance paradigm represents a landmark contribution to the field, involving researchers from numerous countries. This work exemplifies his commitment to open science principles and big team science approaches that enhance research reliability. His publications appear in premier journals including Journal of Personality and Social Psychology , Advances in Methods and Practices in Psychological Science , and European Journal of Social Psychology . Vaidis actively contributes to academic discourse through conference presentations and workshops on managing large-scale collaborative projects. His work has practical applications across environmental psychology, health communication, relationship science, and organizational behavior, demonstrating the versatility and relevance of cognitive dissonance theory to contemporary societal challenges.

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Miguel Rebollo Pedrueloمشاهده پروفایل

پژوهشگر

University of La RiojaSpain

Miguel Rebollo Pedruelo is a researcher at the Polytechnic University of Valencia, specializing in Computer Science and Artificial Intelligence. He has published extensively on multi-agent systems, educational technology, and social media applications in teaching. Research Focus : AI for education, model-driven development, and social network analysis. Key Contributions : Pioneering consensus algorithms for MAS, transmedia educational frameworks, and sentiment analysis tools. His work bridges artificial intelligence with pedagogical innovation, evidenced by 15+ peer-reviewed publications (2016-2024) and editorial roles in conferences like JENUI and CAEPIA. He has directed three doctoral theses and co-authored 20+ collective works.

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Apostol Slavchevمشاهده پروفایل

استاد

National Sports Academy Vasil LevskiBulgaria

Professor Apostol Slavchev serves as Vice-Rector for Academic Affairs at the Vasil Levski National Sports Academy, where he holds a professorship in the Department of Athletics within the Faculty of Pedagogy. With over four decades of academic service, he has held leadership roles including Dean of the Faculty of Education (2008-2016) and membership on the Academic Council since 2007, demonstrating sustained institutional commitment to advancing sports education and athletic training methodologies. His academic foundation includes doctoral studies completed in 1998 with a dissertation on 400m hurdle training optimization, complemented by medical education at Sofia's G. Dimitrov State Medical University (1978-1982). His scholarly journey reflects a unique integration of medical science with athletic specialization: Doctorate in Sports Training Methodology (1998) Medical University Studies (1978-1982) Polytechnic High School Diploma (1972-1976) Slavchev's research spans sprint and hurdle training mechanics , athletics officiating systems , and inclusive athletic programming for diverse populations including children and Special Olympics participants. His work bridges theoretical sports science with practical coaching applications, particularly in developing technical proficiency in short-distance events through biomechanically-informed training protocols. The integration of mathematical modeling in sports ranking systems demonstrates his interdisciplinary approach to athletic administration. His 150+ publications reveal consistent focus on athletics pedagogy and technical officiating , with recent works emphasizing digital educational tools and longitudinal performance analysis. The trajectory shows evolving specialization from foundational coaching manuals toward sophisticated biomechanical analysis and institutional management systems, reflecting both deepening expertise and expanding administrative responsibilities. As an academic advisor, Slavchev has supervised four doctoral candidates to successful dissertation completion, with research concentrated in athletic training methodology. His institutional roles include directing postgraduate training for coaches and serving on the editorial board of the "Athletics & Science" journal, demonstrating commitment to knowledge dissemination. Slavchev founded and chairs the KLASA athletics club at the National Sports Academy while leading the Bulgarian Athletics Federation's judges committee since 2004. His practical coaching legacy includes developing over 100 athletes, with multiple national champions in hurdle events, demonstrating effective translation of academic research into competitive success.

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Elizabeth Woodمشاهده پروفایل

دانشیار

University of Notre DameUnited States

Elizabeth Wood is the Director of the Master of Science in Global Health (MSGH) program and an Associate Professor of the Practice at the University of Notre Dame’s Eck Institute of Global Health. Previously she spent five years at the University of Florida as a Clinical Assistant Professor and Director of Public Health Outreach & Engagement in the College of Public Health & Health Professions, and as Bachelor of Public Health Program Director. Research Focus: Community-based participatory research in low- and middle-income countries Maternal and child health, nutrition, and gender equity Mixed-methods field research and evidence-based intervention design Service-learning pedagogy and international educational collaboration Dr. Wood employs rigorous mixed-methods approaches—combining quantitative surveys, qualitative interviews, ethnographic observation, and participatory techniques—to investigate complex system dynamics affecting health outcomes including chronic and acute malnutrition, healthcare access, and intra-household gender dynamics. Her work spans Ethiopia, The Gambia, Burkina Faso, Tajikistan, Haiti, and US–Egypt virtual partnerships. Scientific Awards: No specific awards are mentioned in the provided text. Advising & Grant Activity: While specific grants and advisees are not enumerated, Dr. Wood’s decade-long record of project design, training facilitation, and monitoring & evaluation implies substantial grant funding and student mentorship, particularly within the MSGH program. Laboratories & Teams: Dr. Wood leads the MSGH program team at Notre Dame’s Eck Institute of Global Health, fostering multi-disciplinary collaboration across the university and with international partners to build human and institutional capacity in global health.

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Fatih KESKİNKILIÇمشاهده پروفایل

مدرس

Ahi Evran UniversityTurkey

Fatih KESKİNKILIÇ is a Lecturer at the Vocational School of Technical Sciences of Ahi Evran University of Kirsehir , Türkiye. Current Role : Lecturer in Electronics and Automation Research Focus : Optimization, Artificial Intelligence, Systems Engineering, Production and Service Systems Management Education : PhD in Industrial Engineering (2010–2019), Sakarya University MSc in Industrial Engineering (2008–2010), Kırıkkale University BSc in Industrial Engineering (2000–2005), Sakarya University BSc in Economics (2006–2008), Anadolu University Research Trends : His work applies Artificial Intelligence and Optimization to industrial processes like heat treatment and traffic management. He explores Systems Engineering frameworks for multi-agent systems in logistics and e-learning environments. Key Publications : 2020 book on Industry 4.0, 2015 SCI-Expanded journal article on neural networks in heat treatment optimization, and 2014–2012 studies on multi-agent systems for traffic and e-learning.

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Carolin Liefkeمشاهده پروفایل

پژوهشگر

Max Planck Institute for AstronomyGermany

Dr. Carolin Liefke serves as Deputy Managing Scientist at the Haus der Astronomie (Center for Astronomy Education and Outreach) in Heidelberg and Deputy Director of the International Astronomical Union Office of Astronomy for Education. With over 20 years of experience in astronomy education and outreach, she has been a research associate at Haus der Astronomie since 2010 and became Germany's National Outreach Coordinator for the IAU in 2020. Dr. Liefke's work focuses on bridging professional astronomy with educational practice through multiple initiatives including astronomy courses for pre-service physics teachers at the University of Heidelberg, the 'Telescope Driver's Licence' teacher training program, the HdA partner school network, and the IASC Pan-STARRS asteroid search program that enables students to discover asteroids using telescope time in Hawaii. She also coordinates programs for gifted students, high school research opportunities, and public events at Haus der Astronomie. Her research background in stellar activity and X-ray astronomy informs her educational approach, though her current work emphasizes translating astronomical research into accessible educational content. The 15 most recent publications in her portfolio demonstrate a clear shift from refereed astronomy research papers to educational materials, reflecting her career transition toward specializing in astronomy education. National Outreach Coordinator for Germany of the International Astronomical Union (since 2020) Executive board member of Vereinigung der Sternfreunde (German amateur astronomy association) Regular contributor to astronomy education journals and publications Author of numerous educational materials for teachers and students Active science communicator through social media and public events Dr. Liefke teaches multiple seminars annually at the University of Heidelberg for pre-service physics teachers, covering topics from basic astronomy concepts to current research headlines. Her educational philosophy emphasizes hands-on experience with real astronomical data and equipment, as evidenced by her development of the 'Telescope Driver's Licence' program that trains teachers to use school telescopes effectively. At Haus der Astronomie, she works within the MPIA-Campus infrastructure to create educational experiences that connect students and teachers with cutting-edge astronomical research while making complex concepts accessible to diverse audiences.

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David Becerra Alonsoمشاهده پروفایل

استاد

Loyola University AndalusiaSpain

David Becerra Alonso is a Full Professor in the Department of Quantitative Methods for Economics and Business at Loyola University Andalusia. With a strong interdisciplinary background spanning physics, computing, and bioinformatics, he bridges quantitative methods with practical applications across multiple domains including social sciences, healthcare, and education. His research expertise encompasses machine learning, artificial intelligence, natural language processing, and dynamical systems. Dr. Becerra Alonso applies these computational methods to address critical social issues, particularly in gender-based violence prevention through intimate partner femicide risk assessment, media bias detection, and educational technology development. His recent publications demonstrate a strong focus on applying AI to social challenges, with multiple 2024-2025 papers addressing media bias detection and intimate partner femicide prediction using advanced computational techniques. His work spans both theoretical machine learning contributions and practical applications in public health, journalism, and education. Principal Investigator for Sapiens project (2021-2023) on autonomous aquatic vehicle networks Researcher in Disorders of Consciousness (DoC) project (2018-2021) with European Commission Researcher in AIPE project (2024-2025) on AI for physical education of vulnerable adolescents Dr. Becerra Alonso supervises doctoral students working on computational approaches to social issues, including femicide analysis, sustainable development goal classification, and mathematics education in distance learning contexts. His leadership in the Quantitative Research Methods and Applications (MICA) research group supports interdisciplinary collaboration across quantitative methods and applied domains.

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Imre Szilard Gangoمشاهده پروفایل

مدرس

KonstfackSweden

Imre Szilard Gango is a Lecturer in the Teacher Education Programme in Visual Arts at Konstfack, University College of Arts, Crafts and Design in Stockholm, Sweden. Born in Sweden in 1976, he specializes in art education with emphasis on digital media and remote teaching methodologies. His research focuses on the challenges of delivering quality art education through distance learning platforms, particularly examining assessment methods for visual arts in remote settings. Gango's work bridges traditional art education with contemporary digital practices, maintaining his professional motto that 'the bigger the better' when working with high-resolution images. His recent degree project 'In the Path of Distance Education' analyzes difficulties in observing, understanding and fairly evaluating students' artistic work in remote learning environments. This research combines photographic documentation with audio installations to create multi-sensory educational experiences that address pandemic-era teaching challenges. Gango maintains an active artistic practice with recent exhibition running from May 21-27, showcasing his photographic work. His professional digital presence includes gangofoto.se and Instagram (@szilardgango), where he shares his artistic process and educational insights.

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George Deweyمشاهده پروفایل

پژوهشگر

Northeastern University LondonUnited Kingdom

George Dewey is a Postdoctoral Researcher at Northeastern University's Network Science Institute, where he contributes to the MIGHTE group (The Machine Intelligence Group for the betterment of Health and the Environment). His work integrates network science and epidemiology to advance outbreak forecasting and human behavior analysis during public health emergencies. He earned his PhD in Epidemiology from UCLA, specializing in network methods applied to behavioral science, public health, and scientometrics. His doctoral research established foundational approaches for analyzing population-level dynamics during health crises. Dewey's research focuses on developing high-quality data platforms for network-based public health surveillance. He investigates real-time human behavior changes during pandemics, leveraging non-traditional data streams to model disease transmission and design effective interventions. His methodology combines computational network analysis with epidemiological frameworks to address complex health challenges. His 2024-2025 publications reveal a cohesive research trajectory spanning pandemic behavior analysis, respiratory virus seasonality, mental health measurement, and network-based disease control. These works consistently employ advanced network methodologies and time-series analysis, demonstrating strong interdisciplinary integration across epidemiology, behavioral science, and data science. As part of the MIGHTE group, Dewey collaborates on projects spanning digital epidemiology, pandemic preparedness, and climate-health interactions. The lab utilizes machine learning and mathematical modeling to predict disease outbreaks, optimize hospital resource allocation, and improve clinical decision-making through innovative data integration approaches.

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