Find Academic Supervisors

Andrzej JajszczykView profile

Professor

• Telecommunications Switching
• Photonic Switching
• Quality of Service for IP Networks
• +5 more

Professor Andrzej Jajszczyk serves at AGH University of Science and Technology in Krakow and as President of the Krakow Branch of the Polish Academy of Sciences (2015-present). He is a current member of the European Research Council's Scientific Council since 2017 and previously served as founding Director of Poland's National Science Centre (2011-2015). Education Graduate of Poznan University of Technology Research Expertise Internationally recognized for pioneering work in telecommunications switching systems , Professor Jajszczyk's research spans photonic switching architectures, flow-aware networking for IP networks, and reliability assurance in optical networks. His innovations in automatic control planes for next-generation optical infrastructure have significantly influenced modern telecommunications standards and protocols. Professional Leadership As former IEEE Communications Society Director for Europe/Middle East/Africa (2006-2007, 2016-present), founding Editor of IEEE Global Communications, and Editor-in-Chief of IEEE Communications Magazine, he has shaped global communications research. His consultancy spans government agencies and industry across 8 countries including China, India, and the USA. Honors ERC Scientific Council Membership (2017) IEEE Distinguished Technical Achievement Award (2017) Foundation for Polish Science Prize (2008) IEEE Fellow (1999) Janusz Groszkowski Medal (2011) Academic Service Professor Jajszczyk has chaired 13 international conferences, served on 132+ program committees, and delivered 76+ tutorials including 14 keynote addresses. He currently serves as Associate Editor-in-Chief of China Communications and on editorial boards for Annales des Télécommunications and Journal of Security and Telecommunications.

Rhiannon SmithView profile

Senior Lecturer

• Biodiversity conservation
• Ecosystem services
• Natural capital accounting
• +5 more

Rhiannon Smith is a Senior Lecturer in Environmental Management at the University of New England , affiliated with the School of Environmental and Rural Science . Her work focuses on reconciling agricultural production with ecological conservation, particularly in cotton farming systems. Biodiversity conservation in production landscapes Ecosystem service provision and natural capital accounting Ecosystem restoration and carbon farming Ecological monitoring in semi-arid environments Her research has been funded by major grants from AgriFutures Australia, Cotton Research and Development Corporation, NSW Environmental Trust, and National Landcare Program. She supervises postgraduate students in natural resource management and contributes to ecosystem service markets research. Key memberships include: Australasia Pacific Extension Network Australian Rangelands Society Ecological Society of Australia Society for Ecological Restoration Australasia

Alagan AnpalaganView profile

Professor

• Wireless Communication
• Radio Resource Management
• Green Communication
• +7 more

Alagan Anpalagan is a Full Professor in the ELCE Department at Toronto Metropolitan University, previously Ryerson University. He holds a PhD in Electrical Engineering from the University of Toronto. His research focuses on radio resource management (RRM), green communication, IoT networks, and wireless communication systems. He directs the WINCORE Lab, specializing in radio access & networking (RAN) and cross-layer design. Dr. Anpalagan has authored/co-edited multiple books and holds IEEE Fellow status (2024). He has received awards including the Ryerson Sarwan Sahota Distinguished Scholar Award (2022) and the IEEE Canada Outstanding Engineering Educator Medal (2018). He has served in editorial roles for IEEE Communications Surveys & Tutorials and led industry collaborations with companies like Bell Mobility and IBM. Education: B.A.Sc. in Electrical Engineering, University of Toronto M.A.Sc. in Electrical Engineering, University of Toronto Ph.D. in Electrical Engineering, University of Toronto Research Interests: His work spans RRM, energy-efficient networks, cognitive communication, and smart grid technologies. Recent projects include digital twin applications in IoT and 6G-based user localization for emergencies. Publications: His 15 most recent articles include studies on network routing protocols, IoT scheduling with digital twins, and AI-driven disaster response systems. These reflect his focus on integrating AI and edge computing into next-gen communication systems. Awards: Recognized for both research and teaching excellence, including IEEE Fellowships and institutional awards for graduate education and service. Labs/Teams: Lead researcher at the WINCORE Lab, collaborating with academia and industry on wireless resource management and heterogeneous networks. The lab’s alumni network includes over 100 researchers.

Dewei (David) XuView profile

Associate Professor

• Power electronics
• Renewable energy
• Electric drives
• +1 more

Dewei (David) Xu serves as an Associate Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University, where he has been a faculty member since joining as an Assistant Professor in 2003. His academic career builds upon foundational work in electrical engineering with specialization in sustainable energy systems. His educational journey includes: M.S. in Electrical Engineering, Tsinghua University, Beijing (2001) Ph.D. in Electrical Engineering, Tsinghua University, Beijing (2001) Following his doctoral studies, he conducted postdoctoral research at Ryerson University's Laboratory of Electric Drives and Application Research (LEDAR) from 2001-2003. Dr. Xu's research program centers on power electronics for renewable energy integration, with particular emphasis on wind energy conversion systems. His work addresses critical challenges in permanent magnet synchronous generator controls , brushless doubly-fed induction generator modeling , and advanced AC-DC conversion topologies . This research directly supports the development of more efficient and reliable grid-connected renewable energy infrastructure, bridging theoretical innovation with practical engineering applications in electric drives and machine design. Analysis of his publication record reveals a consistent focus on wind energy power electronics, with recent contributions examining control schemes for current source converters, real-time simulation of turbine dynamics, and novel converter architectures for variable-speed systems. His work demonstrates strong alignment between theoretical modeling and experimental validation in renewable energy applications. Dr. Xu maintains active teaching responsibilities including ELE754: Power Electronics, ELE637: Energy Conversion, ELE800: Engineering Design Project, and ELE864: Electric Drives, training next-generation engineers in critical energy conversion technologies. His academic service includes advising student design projects and contributing to curriculum development in power systems engineering. During his postdoctoral fellowship, Dr. Xu was affiliated with Ryerson University's Laboratory of Electric Drives and Application Research (LEDAR), where he developed foundational expertise in drive systems that continues to inform his current research trajectory. Current laboratory resources at Toronto Metropolitan University supporting his work are not specified in the available documentation.

• Substance Abuse
• School Based Social Work Services
• Child Welfare
• +1 more

Dr. Debra J Woody is an Associate Professor in the Department of Social Work at The University of Texas at Arlington, where she also serves as Senior Associate Dean and Director of the Center for Addiction & Recovery Studies. With a PhD from Virginia Commonwealth University and extensive experience in clinical social work, her leadership spans academic administration and research program development. Her educational background includes: PhD in Social Work, Virginia Commonwealth University (1996) MSSW, Columbia University (1981) BSSW, Texas Christian University (1979) Dr. Woody's research focuses on substance abuse prevention, school-based social work interventions, and community health initiatives. She has directed federally-funded projects addressing youth prevention, pregnant/postpartum interventions, and crime victim counseling, with grants exceeding $8 million from agencies including HRSA and Texas Health and Human Services. Her scholarly publications demonstrate consistent focus on vulnerable populations and intervention effectiveness, with recent work examining domestic violence survivorship and educational outcomes. Research consistently addresses systemic challenges in social work practice and community health equity. Significant honors include: Innovative Health Technology Award (2022) Established Faculty Service and Leadership Award (2022) Phi Kappa Phi Honor Society (1996) As primary advisor for 15+ graduate students, Dr. Woody has supervised dissertations on topics ranging from hospice decision-making to adolescent relational aggression. Her research funding portfolio includes multiple R01-equivalent grants supporting community-based interventions. She directs the Center for Addiction & Recovery Studies, leading interdisciplinary teams developing evidence-based prevention models and training the next generation of behavioral health professionals.

• Criminology
• Criminal Justice Systems
• Victimology
• +5 more

Prof. Martin Killias is a retired Professor and former Chair of Criminal Law, Criminal Procedure & Criminology at the University of Zurich (retired since August 2013). He leads Killias Research & Consulting, focusing on applied criminological studies. His research spans crime victimization patterns, criminal justice system effectiveness, wrongful convictions, juvenile delinquency, and comparative legal frameworks across Europe. Education & Affiliations : University of Zurich (Faculty of Law). His work is funded by institutions like the Swiss National Science Foundation (SNSF). Research Focus : Specializes in empirical studies of criminal justice systems, including: Crime victimization surveys (ICVS series) Risk assessment methodologies for offenders Evaluation of alternative sentencing strategies Cross-national comparisons of prosecution systems Analysis of wrongful conviction cases Prevention of youth crime through environmental strategies Key Projects : Evaluated electronic monitoring vs. community service effectiveness Investigated marijuana market accessibility in Swiss cantons Examined fear-of-crime correlates using gfs-zürich data Published landmark studies on Swiss judicial errors (1995–2004) Grants & Contributions : Pioneered longitudinal crime surveys in Switzerland, influencing policy reforms. Collaborates with institutions like the University of Lausanne's School of Criminal Sciences.

Antonio AndriellaView profile

Research Professor

• Human-Centered Robotics
• Socially Assistive Robotics
• Robot Personalisation
• +5 more

Dr. Antonio Andriella is a Postdoctoral Researcher at the Institut de Robòtica i Informàtica Industrial (IRII), a joint research center of the Spanish National Research Council (CSIC) and Technical University of Catalonia (UPC). He is an incoming Tenured Scientist at IRII expected to start by the beginning of 2026. Previously, he was a Research Scientist at Pal Robotics awarded with a Marie Skłodowska-Curie cofund fellowship in the H2020 project PRO-CARED (no.801342), and a Postdoctoral Researcher at the Artificial Intelligence Research Institute (IIIA) working on the Value-Aware Artificial Intelligence (VALAWAI) project. His educational background includes: PhD in Control, Robotics and Vision (2022) from Institut de Robotica i Informatica Industrial, CSIC-UPC MEng in Artificial Intelligence (2009) from Sapienza, University of Rome BSc in Computer Engineering (2006) from Sapienza, University of Rome Dr. Andriella's research focuses on creating proactive, personalized robots that can tailor their behavior to individual needs and preferences. His work spans Human-Centered Robotics , Socially Assistive Robotics , Robot Personalisation , Proactive Behaviour , and Explainable Robotics . He investigates how robots can explain their decisions to help users build clearer mental models of these systems, ultimately making robots more transparent and understandable. His research has significant applications in healthcare, particularly for elderly care and cognitive training. His recent publications demonstrate a strong focus on applying robotics to healthcare challenges, particularly in cognitive training for elderly patients with cognitive impairments. His work bridges theoretical AI approaches with practical applications in real-world environments, emphasizing user experience, personalization, and explainability across various contexts including frailty assessment, customer service interactions, and therapeutic applications. His scientific achievements have been recognized with prestigious awards: Georges Giralt award for the best European PhD thesis from euRobotics AIHUB.CSIC prize for the best AI PhD Thesis from the AI Hub of the Spanish National Research Council (CSIC) Dr. Andriella has been actively involved in multiple research projects including SWEET (Social aWareness for sErvicE roboTs), ROSPIA, FRAILWATCH, and DEMETER 5.0. He has organized workshops on trust, AI, ethics and personalization at major conferences including HRI, RO-MAN and ICSR, and has served as guest editor for journals such as International Journal of Social Robotics, Frontiers in Robotics and AI, and Paladyn Journal of Behaviour and Interaction Studies. His research group focuses on developing the CARESSER framework (aCtive leARning agEnt aSsiStive bEhaviouR) for in situ learning of robot social assistance, with applications in cognitive training therapy and elderly care. Current projects are exploring robot-assisted frailty assessment systems, dataset reliability for HRI research, and multilingual intent recognition on social robots, demonstrating his commitment to both theoretical advancements and practical implementations in the field.

Karl G. LindenView profile

Professor

• Environmental Engineering
• Water and Wastewater Treatment
• UV Disinfection Technology
• +3 more

Karl G. Linden is the Mortenson Professor in Sustainable Development at the University of Colorado Boulder, serving as Department Chair of Civil, Environmental and Architectural Engineering and Associate Director of the Mortenson Center in Global Engineering. He holds affiliations with the College of Engineering and Applied Science and the Mortenson Center in Global Engineering, focusing on water sustainability and environmental engineering. Education: Ph.D., Civil and Environmental Engineering (UC Davis, 1997); M.Sc. (UC Davis, 1993); B.Sc., Agricultural and Biological Engineering (Cornell University, 1989). Research Interests: His work centers on UV-based water treatment, advanced oxidation processes, and sustainable water infrastructure for developing communities. Key areas include disinfection efficacy, pathogen inactivation, and global health applications. He emphasizes translating research into practical solutions for small-scale systems and developing regions. Recent Publications: Over 180 peer-reviewed articles, including studies on UV-LED disinfection, far-UVC radiation for pandemic control, and sustainable sanitation systems like Sol-Char. Recent work explores UV advanced oxidation with nitrate sensitization, biofilm control, and solar-driven remediation. Scientific Awards: Recipient of the 2023 International Ultraviolet Association Lifetime Achievement Award, 2020 Clarke Prize, AAAS Fellowship, and multiple industry recognitions for innovation in water treatment. His AEESP leadership has addressed diversity and inclusion in engineering. Advising & Grants: Advised students such as Sara Beck and Austa Parker, recipients of AEESP Dissertation and Student Paper Awards. Funded by NSF, EPA, and Gates Foundation, his research bridges academia and industry. Collaborations span global institutions like Technical University of Munich and University of Tokyo. Labs/Teams: Leads initiatives at the Mortenson Center and Water-Energy Nexus Theme, advancing UV technologies and global water systems. Involved in international projects like the DRIP Concept for drought resilience in Africa.

Jessica Sze Yin HoView profile

Associate Professor

• Digital Marketing
• Social Media Marketing
• E-commerce
• +4 more

Jessica Sze Yin Ho is an Associate Professor and Senior Fellow of the Higher Education Academy at Heriot-Watt University , where she serves in the School of Social Sciences as Associate Head and Programme Director of MA (Hons) Marketing in the Department of Marketing and Operations . She is a prolific researcher in digital marketing, social media, and sustainable consumption, with over 20 publications and multiple international awards. PhD in Marketing (Multimedia University, Malaysia) MPhil in Management (Multimedia University, Malaysia) BBA in Marketing (Multimedia University, Malaysia) Research Interests span Digital Marketing , Social Media Strategy , E-commerce , Sustainable Consumer Behavior , and Service Quality , with a focus on technology adoption and higher education quality. Her recent work explores Live Streaming Commerce , TikTok’s role in Cultural Heritage Promotion , and the Dark Side of Celebrity Endorsements . Her 15 most recent publications (2025–2020) analyze audience engagement , privacy dynamics in virtual streaming , sentiment analysis , and augmented reality applications across sectors like museums, tourism, and finance. Awards include multiple Best Paper and Best Reviewer recognitions from global marketing conferences. Collaborations include industry-funded projects on talent management and services marketing . She also mentors colleagues toward Senior Fellow of AdvanceHE status and contributes to UN Sustainable Development Goals through research on sustainable consumption and education.

Ali José MashtizadehView profile

Associate Professor

• Operating Systems
• Distributed Systems
• Storage Systems

Ali José Mashtizadeh is an Associate Professor at the Cheriton School of Computer Science, University of Waterloo. His research focuses on operating systems, distributed systems, and storage, with expertise in system reliability, network optimization, and concurrent programming. Education: Ph.D., Computer Science, Stanford University (2017) M.S., Computer Science, Stanford University (2017) M.Eng., Electrical Engineering and Computer Science, MIT (2007) B.S., Electrical Engineering, MIT (2006) His research centers on designing scalable and reliable systems, with recent publications exploring TCP network frameworks, in-memory data persistence, and microsecond-scale scheduling. Key themes include optimizing tail latency, neutralization-based memory reclamation, and fault-tolerant distributed services. His articles consistently demonstrate innovations in low-latency networking, operating system architecture, and cloud infrastructure, with recent emphasis on serverless benchmarks and processor customization. No scientific awards or advising relationships are detailed in the provided materials.

• Information Systems Engineering
• Logic and Computation
• Smart Grids
• +3 more

Prof. Sandford Bessler is affiliated with the Technische Universität Wien's Faculty of Informatics, specifically within the Compilers and Languages department. His research focuses 75% on Information Systems Engineering and 25% on Logic and Computation. He teaches courses such as Bachelor Thesis for Informatics and Business Informatics . His work emphasizes smart grids, electric vehicle management, scheduling algorithms, and distributed systems. Research interests include optimizing energy networks, resilience in power grids, and integrating renewable energy systems. He has contributed to projects like ARTE (2012–2017) , exploring disruption-tolerant vehicle-infrastructure communication. Supervised theses include Electric vehicles recharge scheduling with time windows and A service overlay network for telematic applications . Key projects involve improving grid resilience through demand-side management and collaborative frameworks. He collaborates with industry and academia on smart grid technologies and electric vehicle infrastructure.

• Canine Cognition
• Veterinary Science
• Animal Behavior
• +3 more

Evan MacLean is an Associate Professor in the Department of Veterinary Science and Microbiology at the University of Arizona. His work focuses on canine cognition, oxytocin biology, and the human-animal bond. He leads research projects such as the Dog Aging Project and the ManyDogs initiative, exploring topics like service dog efficacy, aging processes in dogs, and the genetic foundations of social behavior. His lab studies endocrine mechanisms (e.g., oxytocin and cortisol) and behavioral traits in dogs, with applications to veterinary medicine, mental health, and animal welfare. Research interests span canine cognition development, oxytocin’s role in social bonding, and translational studies on aging. Key areas include understanding how oxytocin assays function, evaluating service dogs for veterans and children with autism, and leveraging genetic insights to improve working dog selection. MacLean collaborates with multidisciplinary teams and emphasizes translational research bridging basic science and practical applications.

• Cloud Computing
• Distributed Systems
• Data Processing
• +4 more

Luis Antunes Veiga is an Associate Professor and Senior Researcher at INESC-ID Lisbon, affiliated with the Distributed Systems Group and the Computing Systems and Communication Networks Laboratory. His research focuses on Cloud Computing, Edge Computing, Distributed Systems, and Big Data processing. He teaches courses such as 'Cloud Computing and Virtualization' and 'Operating Systems, Virtualization and Cloud Computing.' His work emphasizes scalable systems, network-aware workflows, and resource-efficient data processing. Research Interests: His primary areas include distributed systems architectures, edge computing frameworks, graph processing algorithms, and software-defined systems. He explores topics like latency-aware network design, resource auction mechanisms for edge environments, and interoperable service workflows. His contributions span theoretical frameworks and practical implementations, such as the RATEE system for edge resource trading and the VeilGraph incremental graph processing framework. Publications: His recent work addresses challenges in distributed systems, such as elastic scaling of stream processing, efficient graph processing in Spark, and latency optimization in internet-scale workflows. These publications reflect a trend toward integrating software-defined approaches with edge and cloud infrastructures. Notable Awards: Best Young Researcher INESC-ID, Excellence in Teaching (IST 2012), and a Best-Paper Award at ACM/IFIP/Usenix Middleware 2007. Labs & Teams: Active in the Computing Systems and Communication Networks Laboratory, leading projects on edge computing and distributed systems.

Karolina DrobotowiczView profile

Researcher

• Artificial Intelligence
• Public Sector Technology
• Ethical AI
• +3 more

Karolina Drobotowicz is a Doctoral Researcher in the Department of Computer Science at Aalto University, affiliated with the School of Science. Her work focuses on the design and ethical implications of AI services in the public sector, emphasizing inclusivity, civic empowerment, and trustworthy technology implementation. She holds a Master's in Engineering and Technology from Aalto University (2020) and dual Bachelor's degrees in Engineering and Technology, and Control Engineering and Robotics from Gdańsk University of Technology (2016). Her research explores practitioners' and citizens' perspectives on AI adoption in public services, addressing challenges in algorithmic fairness, public trust, and equitable access. Key contributions include studies on Finnish public sector AI governance and co-design methodologies for citizen-centric AI solutions. Active in interdisciplinary projects like CAAI (Citizen Agency in AI), she investigates democratizing algorithmic services in urban environments. Her work aligns with UN Sustainable Development Goals related to quality education and innovation. Recent activities include organizing public workshops on AI in the public sector and presenting at international conferences on topics such as LLM-powered decision systems and civic empowerment through technology.

Mario Di FrancescoView profile

Professor

• Wireless Networking
• Mobile and Ubiquitous Computing
• Internet of Things
• +4 more

Mario Di Francesco is a Professor at the Department of Computer Science, Aalto University. He holds the position of Professor in Computing Systems (ComputingSystems) Research Area and leads multiple research projects in networking and IoT. Previously, he was a research associate and adjunct faculty at the University of Texas at Arlington (2012–2014), and completed his PhD in Information Engineering at the University of Pisa under Prof. Giuseppe Anastasi. He also served as a research fellow at Scuola Superiore Sant'Anna in 2009. Research Interests : His work focuses on wireless networking, mobile and ubiquitous computing, and the Internet of Things (IoT). Key areas include edge computing, fog networks, virtual/augmented reality, and AI-driven resource management. His research contributes to UN Sustainable Development Goals related to innovation and infrastructure (SDG 9), sustainable cities (SDG 11), and industry/infrastructure development (SDG 9). Publications : His recent work spans topics like private virtual reality conversations, cloud-based network measurement frameworks (CLAIM), microservice connectivity analysis, and edge-DNN optimization. These publications reflect a trend toward integrating AI with distributed systems for real-time, low-latency applications in IoT and edge computing. Awards : Recipient of the Google Internet of Things Technology Research Award (2016) and MobileHCI Honorable Mention (2020). Grants & Projects : CRUISE (2023–2025): Cross-system architecture for autonomous wireless networks using lifelong machine learning. MeXICO (2020–2024): Mobile cross-reality through immersive computing. ASPECT (2016–2018): Spectrum utilization for mobile video. Labs & Teams : Leads research groups focused on edge computing, IoT systems, and immersive technologies. Collaborates with international partners on projects like fog radio networks and autonomous system design.