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Udoy SaikiaView profile

Professor

• Population Dynamics
• Human Wellbeing
• Sustainable Development
• +8 more

Professor Udoy Saikia is a Social Demographer at Flinders University's College of Humanities, Arts and Social Sciences, with a PhD in Population Studies (2005) from Flinders University. He holds postgraduate degrees from the London School of Economics (M.Sc. Demography, 1994-95) and the International Institute for Population Sciences, India (Master of Population Studies, 1992-93). Research Interests: His work centers on population dynamics, human wellbeing, and sustainable development in the Asia-Pacific and developing countries. He has led international projects in Timor-Leste, Papua New Guinea, and India, focusing on demographic dividends, fertility trends, and evidence-based policy research. Population-environment interactions Multidimensional wellbeing metrics Post-conflict development Gender and development Climate change adaptation Publications & Grants: With over 50 articles and books, his Human Wellbeing Index has been featured in UN Human Development Reports. He has secured $1.5 million in grants, including ARC Discovery and Linkage projects. Awards & Leadership: He received the Vice-Chancellor's Award for Excellence in Teaching (2011) and a Government of Australia Citation for Student Learning (2012). He served as Vice President of the Australian Population Association (2011-2015; reappointed 2019-2021) and contributed to the UN's Global Sustainable Development Report (2019). Community Impact: As founder of South Australians Supporting Children and Women in Assam (SASCWA), he pioneered Toy Libraries, women's income-generation programs, and school infrastructure development for remote communities in India's Assam region.

• Irrigation control systems
• Machine vision for soil and plant sensing
• Automation in agriculture
• +5 more

Associate Professor Alison McCarthy is a mechatronic research engineer at the University of Southern Queensland, affiliated with the Centre for Agricultural Engineering. She specializes in irrigation and cropping systems, focusing on automation, machine vision, and sensor-based control technologies to improve agricultural efficiency and sustainability. Research Interests: Irrigation control systems Machine vision for soil and plant sensing Automation in agriculture Variable-rate irrigation Agricultural spatial analysis and modelling Her recent research output demonstrates a strong trend in developing and evaluating automated, real-time systems for irrigation, nitrogen management, and crop monitoring across cotton, dairy, and grain crops. She leverages machine vision, AI, and sensor networks to enable precision agriculture solutions that reduce labor, optimize inputs, and improve yields. Scientific Awards: 2024 Australian Future Cotton Leader 2021 WatSave Young Professionals Award (International Commission on Irrigation & Drainage) 2018 Cotton Seed Distributors Researcher of the Year Award 2015 Queensland Young Tall Poppy Science Award 2014 Science and Innovation Award for Young People in Agriculture, Fisheries and Forestry 2011 Travel Fellowship (Irrigation Australia Limited) NPSI/IAL Travel Fellowship 2010 Dr. McCarthy actively supervises research students and leads industry-collaborative projects funded by organizations such as Cotton Research and Development Corporation, Grains Research and Development Corporation, and Hort Innovation. She has secured multiple research grants focused on smarter irrigation, nitrogen management, and pest monitoring technologies. Her work bridges academic research and practical on-farm applications, emphasizing technology transfer and industry engagement. Laboratories and Research Teams: She is a key member of the Centre for Agricultural Engineering at USQ, contributing to interdisciplinary teams working on smart irrigation, precision agriculture, and agricultural automation. Her research integrates with projects like 'Smarter Irrigation for Profit' and 'Future Farm', involving collaboration with engineers, agronomists, and industry partners.

Benny SelleView profile

Professor

• Hydrology
• Water Protection
• Soil Hydrology
• +6 more

Prof. Dr. Benny Selle is a Professor of Hydrology and Water Protection at the Berlin University of Technology , affiliated with the Department of Civil Engineering and Geoinformation . His research focuses on hydrological system variables , process models , and causal interactions in water quality and management. Education: Diploma in Geography (University of Leipzig, 2001) with minors in Geology and Economics. Doctorate in Soil Physics (University of Bayreuth, 2005). Habilitation in Mathematics and Natural Sciences (University of Tübingen, 2014). Re-habilitation in Agriculture, Civil Engineering and Environment (University of Rostock, 2024). Research Interests include dissolved organic carbon mobilization , contamination processes in water bodies , and innovative water management solutions . His work often integrates bottom-up/top-down modeling approaches to address ecological and social relevance of hydrological relationships. Committee Activities: Active member of the Catchment Hydrology committee (European Geoscience Union, since 2008). Member of the Commission for the Opinion on Appointment Procedures at Berlin Tech (since 2017). Associate Editor of Hydrology and Water Management (HyWa) (since 2018). Member of the working group Deadwood in Water Management (DWA AG GB 2.20, since 2019). Member of the Academic Senate (Berlin Tech, since 2021). Teaching Philosophy emphasizes independent learning , student discussion , and supporting diverse academic potentials . He supervises theses on topics such as urban water management , cleaning urban drains , and remediation of contaminated sites . Professional Experience spans institutions like the University of Bayreuth , WESS (Tübingen) , and University of Potsdam , with a career in Australia as a Hydrologist & Systems Modeller (2005-2010).

David B. BayneView profile

Assistant Professor

• Urology
• Kidney Stone Disease
• Minimally Invasive Surgical Techniques
• +5 more

Dr. David B. Bayne is an Assistant Professor in the Department of Urology at the University of California, San Francisco (UCSF) School of Medicine . His work integrates clinical research , social determinants of health , and medical education to address kidney stone disease and surgical outcomes. He holds dual degrees: a MD from Harvard Medical School (2012) and an MPH from UC Berkeley (2017), with residencies and fellowships at UCSF ( Urology Residency 2018 , Endourology Fellowship 2020 ). Dr. Bayne's research focuses on kidney stone formation , social factors in surgical outcomes , and minimally invasive urology , supported by National Institutes of Health (NIH) funding . His publications span urology , public health , and medical education , with recent work on robotic surgery , artificial intelligence in stone treatment , and global health equity . He co-leads the UCSF Center for Health Equity in Surgery and Anesthesia and directs simulation education programs. He has conducted fieldwork in Haiti and Guyana , emphasizing low-resource surgical solutions , and is fluent in Spanish. His clinical practice at the Urinary Stone Center uses endoscopic , laparoscopic , and robotic techniques for kidney and bladder stones, alongside ureteral stricture management. Dr. Bayne's leadership roles include Director of Simulation Education and Co-Director of the UCSF Center for Health Equity in Surgery and Anesthesia .

• Sensor Systems and Electronic Nose Technology
• Food Quality Assessment and Authentication
• Artificial Neural Networks Applications
• +3 more

Todor Nedev Todorov is a Senior Assistant at the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo, Bulgaria, holding a Doctor (scientific and educational) degree in Technical Sciences. He works in the Department of Automation, Information and Control Technology, with office location in cabinet 3411. Dr. Todorov's research focuses on sensor systems and electronic nose technology for food quality assessment and authentication. His work integrates artificial neural networks with gas sensor arrays to develop innovative solutions for monitoring food products during processing and aging. He has made significant contributions to applications in cheese classification, sunflower oil quality assessment, and bean origin identification. Analysis of Dr. Todorov's publication record from 2012-2023 reveals a consistent research trajectory centered on electronic nose systems and their applications in food science. His work shows progression from basic sensor development to sophisticated neural network implementations for food quality assessment. The research demonstrates strong interdisciplinary connections between electrical engineering, food science, and artificial intelligence. Dr. Todorov has been actively involved in numerous research projects, primarily focusing on sensor systems for environmental monitoring and food quality control. His project portfolio includes both internal university research initiatives and international collaborations aimed at incorporating technology into educational curricula. His laboratory work appears centered around sensor development and integration, particularly gas sensor arrays for food quality monitoring applications. The research infrastructure likely includes electronic nose systems, neural network training environments, and food product testing facilities.

Alexander BrodskyView profile

Professor

• Decision Support Systems
• Decision Guidance
• Optimization
• +6 more

Alexander Brodsky is a Professor in the Department of Computer Science at George Mason University's Volgenau School of Engineering, where he has conducted research since 1993. His work focuses on Decision Support, Guidance, and Optimization (DSGO) systems with applications spanning sustainable manufacturing, energy systems, power networks, and supply chain management. He teaches core database courses and specialized decision-guidance systems at both graduate and undergraduate levels. Brodsky earned his educational credentials from The Hebrew University of Jerusalem, completing a BS and MS in Mathematics and Computer Science followed by a PhD in Computer Science. His academic foundation supports his interdisciplinary research bridging theoretical computer science with practical industrial applications. Current research centers on developing DSGO frameworks for real-world optimization challenges, particularly in sustainable manufacturing and energy infrastructure. His work integrates multi-objective optimization, stochastic modeling, and decision-guidance query languages to create systems that balance competing objectives like cost, efficiency, and environmental impact. Prior research established foundational contributions to constraint databases and secure information disclosure mechanisms. Analysis of his 2022-2025 publications reveals a decisive shift toward virtual manufacturing ecosystems, carbon-neutral investment modeling, and healthcare decision support. Key trends include the development of reusable model repositories for virtual things, Pareto-optimal solutions for energy infrastructure, and interactive recommender systems that incorporate user preference learning and voting mechanisms for group decision-making. Scientific recognition includes: NSF CAREER Award NSF Research Initiation Award Six Best Paper Awards across major conferences Brodsky has mentored 15 PhD graduates (as of 2016) and currently supervises four doctoral candidates, with former students holding professorships at institutions worldwide and research positions at organizations like NIST and Mozilla. His research program is sustained by substantial funding from NSF, ONR, NASA, NIST, and Dominion Virginia Power, supporting projects like the Process Analytics Language for Sustainable Manufacturing and Decision Guidance for Power Optimization. Though not formally named in the source, his research group operates as a hub for developing decision-guidance frameworks and reusable analytics models, collaborating with industry partners on smart manufacturing and energy infrastructure projects while maintaining strong ties to international conferences like ICEIS and ICTAI.

Toros ArikanView profile

Assistant Professor

• Signal Processing
• Remote Sensing
• Underwater Acoustics
• +6 more

Dr. Toros Arikan is an Assistant Professor in the Department of Electrical Engineering at the University of Notre Dame's College of Engineering. His research focuses on signal processing for remote sensing applications, with particular emphasis on underwater acoustics and indoor radio frequency systems. He applies deep learning techniques to solve complex problems in environmental mapping, localization, and tracking. B.S., M.S., and Ph.D. in Electrical and Electronics Engineering from University of Illinois Urbana-Champaign and Massachusetts Institute of Technology Professor Arikan's work addresses fundamental challenges in underwater acoustic localization, reverberant environment modeling, and challenging-environment communications. His recent publications highlight neural network-based solutions for Steiner minimum trees and boundary estimation problems. His research on HF communications systems spans topics including low-latency transmission, Doppler tolerance, and modem design for underwater applications. Earlier work includes biomedical ultrasound signal processing for blood velocity estimation.

Angela MeyerView profile

Assistant Professor

• Energy Meteorology
• Artificial Intelligence
• Atmospheric Science
• +5 more

Dr. Angela Meyer is an Assistant Professor of Energy Meteorology and Artificial Intelligence at TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing since October 2023. She concurrently leads the Energy Weather & AI Lab at the Bern University of Applied Sciences (BFH), School of Engineering and Computer Science. She earned her PhD in atmospheric physics from ETH Zurich (2015) and a master’s degree in mathematics from the University of Cambridge (2009). Research Focus: Intersection of data science, atmospheric science, and renewable energy applications. Machine learning for solar and wind energy forecasting. Federated learning for privacy-preserving wind turbine condition monitoring. Satellite-based solar radiation retrieval and bias correction. Probabilistic intraday and sub-seasonal forecasting. Her research is supported by major grants from the Swiss National Science Foundation (SNSF) and Innosuisse , and she is a project partner in the Horizon Europe UrbanAIR initiative. Scientific Contributions: Over 40 peer-reviewed publications since 2015 in journals such as Applied Energy , Solar Energy , Energy and AI , and Journal of Climate . Key publications include advances in deep generative models for solar forecasting, federated learning in renewable energy, and AI-based satellite retrieval of solar radiation. Active reviewer for Applied Energy , Energies , and program committee member for ECML PKDD and LOD conferences. Research Team & Supervision: Dr. Meyer currently supervises six PhD candidates and six postdoctoral researchers across her labs at TU Delft and BFH. Her group focuses on AI-driven solutions for renewable energy reliability and resilience. Laboratories & Collaborations: Energy Weather & AI Lab – Bern University of Applied Sciences. GRS Lab – TU Delft, Department of Geoscience and Remote Sensing. Active collaborations with ETH Zurich, Siemens Smart Infrastructure, Hexagon AB, and NVIDIA. For more information, visit her personal website or ResearchGate profile .

• IT Security
• Cybersecurity
• Open-Source Software Analysis
• +3 more

Tobias Dam serves as an Academic Professional at the Institute of IT Security Research within the Department of Computer Science and Security at St. Pölten University of Applied Sciences. His work focuses on practical cybersecurity challenges with emphasis on open-source software ecosystems, data space security, and web-based threats. Based in the B-Campus-Platz 1 location, he actively contributes to both research and educational initiatives in IT Security. His educational background includes completing HTL St. Pölten's Department of IT/Computer Science program from 2008-2013, followed by a Bachelor's degree in IT Security at St. Pölten University of Applied Sciences from 2013-2016. He gained practical experience in 2015 working on software development, security, and configuration management in the "upribox" project. Since 2016, he has been pursuing a Master's degree in Information Security at the same institution. Dr. Dam's research spans multiple critical areas in modern cybersecurity, with particular expertise in analyzing vulnerabilities in open-source software ecosystems. His work on critical open-source software databases represents significant contributions to understanding the "health status" of important open-source projects. He has also made notable advances in data space security, developing policy patterns for usage control, and conducting extensive analyses of web-based threats including typosquatting, pop-up scams, and cryptojacking. His research uniquely bridges theoretical frameworks with empirical analysis of real-world security issues, often examining how privacy techniques like k-anonymity impact machine learning classifiers and how data deletion affects model integrity. His publication record demonstrates consistent contributions to major cybersecurity conferences and journals, with recent work focusing on dataspace connector implementations, critical open-source software metrics, and vulnerability assessment in open-source packages. His research trajectory shows increasing specialization in the security challenges of modern data ecosystems while maintaining strong connections to practical implementation concerns. Through his video presentations on cloud services versus self-operated programs and secure remote corporate IT access, Dr. Dam actively engages in knowledge transfer to broader technical audiences beyond traditional academic publication channels.

Zhang ChenView profile

Associate Professor

• Organizational Behavior
• Job Design
• Workplace Well-being
• +3 more

Zhang Chen serves as Associate Professor in the Department of Leadership and Organizational Management and Assistant Dean at Tsinghua University's School of Economics and Management. He earned his Bachelor's and Master's degrees from Tsinghua University (where he was named Outstanding Graduate) and completed his PhD at the University of Michigan's Ross School of Business. His research centers on organizational behavior with specific expertise in job design and redesign, workplace time/energy management, and proactive organizational behavior. Current investigations examine how task sequencing affects workday well-being, the interplay between meetings and individual work on knowledge worker energy, and leadership emergence dynamics. His work bridges academic rigor with practical application through publications in top journals and Harvard Business Review practitioner articles. Dr. Zhang teaches doctoral course 'Management Research Methods I' and undergraduate courses including 'Thinking and Doing in Management', which has been designated a Tsinghua University General Education Honors Course. He serves on Tsinghua's Online Teaching Expert Group and General Education Course Committee, having received multiple teaching awards including the University's Annual Teaching Excellence Award and Young Teacher Teaching Competition First Prize. Tsinghua University Advanced Worker (2022) Outstanding Doctoral Thesis Advisor (2024) Gong Yuzhi Teaching Fellowship for General Education (2022) National Natural Science Foundation of China research projects School of Economics and Management Teaching Excellence First Prize (2020-2023) As an active researcher and educator, he leads multiple National Natural Science Foundation projects while translating findings into practical workplace solutions through Harvard Business Review publications. His teaching philosophy emphasizes human-centered approaches, blending online and offline methods to enhance student engagement in management education.

Rhuanito Soranz FerrareziView profile

Associate Professor

• Controlled Environment Agriculture
• Hydroponics
• Plant Nutrition
• +5 more

Dr. Rhuanito Soranz Ferrarezi is an Associate Professor in the Department of Horticulture at the University of Georgia's College of Agricultural & Environmental Sciences. As Director of the Ferrarezi Lab of CEA @ UGA, he leads research in controlled environment agriculture, focusing on irrigation, plant nutrition, and cropping systems for greenhouse and vertical farm production. B.S. Agronomy and Crop Science, Universidade de Estado de Santa Catrina, Brazil (2002) M.S. Agriculture, Agronomic Institute (IAC), Brazil (2006) Ph.D. Agricultural Engineering, Universidade Estadual de Campinas, Brazil (2013) His research explores crop physiology and production factors including precision irrigation, LED lighting optimization, biostimulants, and automated nutrient management. He develops methodologies to enhance growth rates, morphology, and profitability of hydroponically grown specialty crops like edible plants, medicinal herbs, and ornamentals in soilless systems. The lab's work spans 15+ recent publications analyzing CEA technologies: from machine learning-based biomass estimation to chlorophyll fluorescence biofeedback lighting systems. Research addresses critical challenges in vertical farming, such as airflow optimization, sap analysis techniques, and microbial solutions for salinity stress mitigation. Scientific recognition includes: ASHS 2025 award recipient Collaboration with Agrify's LED technology development International partnerships with Brazilian institutions He directs UGA's Hydroponics Club, teaches graduate/undergraduate courses HORT 3200 and HORT 4050/6050, and leads a Mediterranean Study Abroad program to Valencia, Spain (2026+). His lab occupies 3,500 sq ft at 106 Riverbend Road with two vertical farms ('Yoda room' and 'Skywalker room'), a state-of-the-art greenhouse, and growth chambers for controlled physiological studies.

Tim McCarthyView profile

Professor

• Geospatial Data Science
• Earth Observation
• Remote Sensing
• +7 more

Tim McCarthy is a Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He serves as Principal Investigator at the National Centre for Geocomputation (NCG) and co-PI in over 32 externally funded projects totaling €28 million. His work focuses on Earth Observation, geospatial data science, and autonomous systems with applications in environmental monitoring, precision agriculture, and emergency management. Developed Terrain-AI for greenhouse gas emission monitoring Led CoPilot-AI for wildfire response systems Contributed to Copernicus Academy as Irish National Delegate Created U-Flyte drone research program His geospatial research integrates satellite, airborne, and terrestrial sensor data with machine learning for petabyte-scale environmental analytics. Applications span critical infrastructure, climate change mitigation, and marine coastal management through projects like MaCoBioS . He has spun out 2 university companies and supervises 4 current PhD/MRes students. Scientific Awards : 2023 SFI Defence Organisation Innovation Challenge 2022 US-Ireland Research Innovation Award 2021 AI Awards (Social Good) 2012 Copernicus Masters 2011 Maynooth Commercialisation Award Active in EU committees like the Copernicus Earth Observation program and Irish drone policy development through the Aerial and Drone Oversight Committee . His outreach includes media engagements with RTE, Sunday Times, and Silicon Republic on geospatial AI and drone technology.

• User Requirements Elicitation
• Co-Design Methods
• User Adoption of New Technology
• +3 more

Pontus Wallgren is a Senior Lecturer at the Design & Human Factors division, Chalmers University of Technology. His research focuses on user requirements elicitation , Co-Design methodologies , and user adoption of new technologies , particularly within sustainable urban mobility (public transport, electromobility, cycling). Affiliation : Chalmers University of Technology, Department of Industrial and Materials Science Academic Rank : Senior Lecturer Research Interests include: Co-Design for user participation Behavioral nudges in transport safety Electric bicycle adoption dynamics Child-inclusive urban design Medical device development with user involvement Publication Trends show concentrated work in Sustainable mobility systems (2016–2023) Cycling safety and infrastructure (2013–2022) Co-Design applications in healthcare and education (2007–2021) E-scooter perception studies (2021–2023) Collaborative Projects include MeBeSafe : Behavioral safety nudges in transport Bridging the Gap : Child-planner co-creation (2014–2017)

Senta GoertlerView profile

Professor

• Technology-Mediated Language Learning
• Computer-Mediated Communication
• Online Education
• +4 more

Senta Goertler is a Professor of German and Second Language Studies at Michigan State University's College of Arts & Letters. She serves as co-editor of Second Language Research and Practice and is a Big Ten Academic Alliance Academic Leadership Program Fellow. Research Focus: Technology-mediated language learning (computer-mediated communication, virtual reality simulations, hybrid instruction) Teaching: German language courses, second language acquisition theory, language pedagogy Leadership: Big Ten Academic Alliance Fellow, editorial leadership Her work examines the intersection of digital tools and language education, particularly crisis-driven pedagogical shifts. Recent publications analyze emergency remote teaching, virtual reality applications in medical Spanish instruction, and flipped classroom models in Japanese higher education. Earlier research explored study abroad programs, blended learning frameworks, and digital equity in CALL (Computer-Assisted Language Learning). She has contributed to understanding affect in remote teaching, telecollaboration assessment, and evidence-based language goal setting. Her projects often bridge theory and practice, translating empirical findings into classroom strategies. Scientific Awards: Big Ten Academic Alliance Academic Leadership Program Fellow Grants: Not explicitly mentioned in text Advising: Supervises research on technology-mediated language learning, though specific student names are not listed

Susan BennettView profile

Associate Professor

• Multicultural Education
• Culturally Responsive Teaching
• Diversity and Literacy
• +3 more

Susan Bennett is an Associate Professor in Early Childhood Education at the University of South Florida's St. Petersburg Campus . Her work centers on multicultural education , culturally responsive teaching , and literacy , with a focus on integrating creative arts (music, visual art, drama) into pedagogy. She teaches graduate and undergraduate courses on literacy, literature, social studies, and special education, while engaging in community partnerships such as the Florida Department of Corrections initiative to improve prisoner literacy. Academic Rank: Associate Professor Department: Early Childhood Education Key Partnerships: Florida Department of Corrections Research Interests : Bennett’s scholarship bridges social justice and literacy education , emphasizing the use of multicultural children’s literature to address systemic inequities. She explores arts integration in classrooms, literacy for incarcerated youth , and social-emotional learning in early childhood settings. Her work also highlights religious diversity in education and anti-racist pedagogy . Scientific Awards : Special Recognition for Teaching Award (2018, College of Education) Teaching & Outreach : Bennett has taught Navajo reservation kindergarteners , at-risk youth in correctional institutions , and high-achieving college students . Her courses emphasize culturally sustaining practices and transformative teacher education , preparing educators to address diversity and equity in K-6 classrooms.