Seeram Ramakrishna is a Professor of Materials Engineering at the Department of Mechanical Engineering, National University of Singapore (NUS), affiliated with the College of Design and Engineering. He holds a PhD from the University of Cambridge and a TGMP from Harvard University. His research focuses on circular economy, nanotechnology, and sustainable materials engineering, with notable contributions to electrospinning, biomaterials, and energy storage systems. Key educational background includes: PhD in Materials Science (University of Cambridge) TGMP in Advanced Manufacturing (Harvard University) Research interests span cross-disciplinary areas such as: Development of eco-friendly nanocomposites Electrospun nanofiber applications in healthcare and energy Circular economy frameworks for sustainable materials Advanced manufacturing techniques for biomedical devices His publications highlight innovations in: High-efficiency solar steam generation via core-shell fibers Flexible wearable sensors for health monitoring Green synthesis of supercapacitor materials Plastic waste circularity through informatics-driven approaches Notable projects include books on circular economy fundamentals and biomaterials. His work bridges material science with environmental sustainability, addressing global challenges in energy, healthcare, and pollution control.
Jagath Samarabandu is a Professor in the Department of Electrical and Computer Engineering at Western University. He holds a Ph.D. and M.S. in Electrical Engineering from SUNY Buffalo, and a B.Sc. in Electronics and Telecommunication Engineering from the University of Moratuwa, Sri Lanka. His academic career spans since joining Western University in 2000, with prior post-doctoral experience at SUNY Buffalo and industry work at Life Imaging Systems Inc. Education: Ph.D. Electrical Engineering, SUNY Buffalo M.S. Electrical Engineering, SUNY Buffalo B.Sc (Eng) Electronics and Telecommunication, University of Moratuwa His research focuses on Artificial Intelligence, Machine Learning, Image Analysis, and Cyber Security , with applications in biomedical imaging, network intrusion detection, and civil infrastructure monitoring. He has supervised numerous graduate students working on topics ranging from chromosome analysis to smart grid security. Recent publications highlight his work in medical AI applications (auditory processing disorder diagnosis), industrial time-series analysis (using contrastive predictive coding), and network security frameworks (INSecS system development). He has contributed to 3D ultrasound segmentation, prostate motion compensation algorithms, and synthetic aperture radar systems. Key projects include NSERC-funded intelligent home monitoring systems for elderly care and low-cost synthetic aperture radar development for search-and-rescue applications.
James Dixon is a Professor and Director of Ecological Psychology at the University of Connecticut, where he leads the Department of Psychological Sciences and directs the Center for the Ecological Study of Perception & Action (CESPA). CESPA fosters interdisciplinary research across optics, acoustics, movement science, and nonlinear dynamics, establishing UConn as a pioneer in ecological psychology. Research Focus Dr. Dixon investigates the self-organizing principles underlying perception, action, and cognition, with emphasis on thermodynamic foundations of behavior. His work bridges psychology, physics, and complex systems theory: Self-organization in biological and non-living dissipative systems Fractal dynamics in cognitive processes Inter-entity coordination across scales End-directed evolution in complex systems Publication Trends His publications (2009-2016) converge on emergent phenomena in complex systems, with recurring themes of self-organization, entropy, and coordination dynamics. Recent work emphasizes thermodynamic principles in behavioral emergence, while earlier studies explore representational change and insight through nonlinear models. Leadership & Academic Environment As CESPA Director, he oversees collaborative research spanning 10+ specialties. The center’s ethos integrates ecological principles with physics and development, maintaining UConn’s legacy in perception-action science since its founding by J.J. Gibson.
Arlen Rowe is a Postdoctoral Research Fellow at the University of Southern Queensland (USQ) within the Centre for Health Research, affiliated with the School of Psychology and Wellbeing. Her work focuses on improving health outcomes for vulnerable populations through technology-driven interventions. BPych(Hons), University of Southern Queensland (2017) PhD, University of Southern Queensland (2020) Dr. Rowe's research examines digital mental health engagement, particularly for youth and rural populations. Key areas include: Adherence and engagement behaviors in online programs Digital mental health solutions for adolescents Adaptive technology applications Chronic health population interventions Cancer survivorship support Her recent work explores adolescent anxiety interventions, eHealth user experience frameworks, and geographical disparities in cancer care. Notable grants include the HCF Health Services Research Grant (2022) and Australian Rotary Health funding (2020). Awards: Advance Queensland PhD Scholarship (2017) Australian Psychological Society Health Psychology Thesis Award (2021) Dr. Rowe contributes to digital mental health supervision and collaborates on projects addressing rural healthcare challenges.
Mehdi Mehrali serves as a Senior Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), Denmark. His research spans advanced materials engineering with focus on sustainable construction and biomedical applications. Research Focus: Dr. Mehrali's work centers on geopolymer engineering , hydrogel development , and nanomaterial reinforcement for 3D-printed construction. His fingerprint reveals expertise in biomaterials (39%), graphene (45%), and phase change materials (27%), contributing to UN Sustainable Development Goals through sustainable infrastructure solutions. Publication Trends: Recent work demonstrates convergence of civil engineering with AI-driven material design (e.g., machine learning for geopolymer extrusion) and biomedical applications (e.g., antibacterial hydrogels). His 2025 publications show strong emphasis on multifunctional composites with self-sensing capabilities and robotic integration. Awards & Recognition: 6 similar researcher profiles identified in global networks 5 Mendeley readers for recent work Featured in 3 X (Twitter) discussions Supervision & Grants: Actively supervises three PhD candidates on 3D-printed construction materials while collaborating on major projects including COOLBATTERY (€2.1M) and RESTORATIVE grid-scale energy storage. His research attracts significant downloads (321 for hydrogel review) and citations (30+). Laboratory Focus: Leads research in Materials and Surface Engineering at DTU's Produktionstorvet facility, specializing in printable geopolymers, hydrogel robotics, and cement-based smart materials for sustainable construction.
Ellen Robey is a Professor of Immunology and Molecular Medicine at the University of California, Berkeley, serving as Division Head of the IMM Division. Her research focuses on signaling pathways controlling T cell fate decisions, using mouse models to study T cell development and immune responses, including mechanisms of thymic selection and CD4/CD8 lineage commitment. She employs 2-photon imaging to analyze T cell behavior in situ, particularly during parasitic infections like Toxoplasma gondii . Robey’s lab investigates how self-reactivity influences thymic selection timing and develops collaborative projects combining multi-omics approaches with spatial and temporal analyses of thymic development. Key research areas include understanding negative/positive selection mechanisms in the thymus, immune response dynamics during chronic infections, and the role of unconventional T cell subsets recognizing non-classical MHC molecules. The lab has pioneered studies on Qa1-restricted T cells and their role in host defense against pathogens. Her work bridges basic immunology with cutting-edge imaging and systems biology tools to unravel complex immune processes. Lab collaborations include projects with Nir Yosef and Aaron Streets to create high-resolution thymic developmental maps using single-cell multi-omics. Current efforts also explore how ERAAP downregulation alters antigen presentation, influencing T cell responses. The Robey Lab emphasizes diversity in its team, fostering an inclusive environment for scientific innovation.
Professor Matt Garratt is a faculty member at the University of New South Wales (UNSW Canberra), School of Engineering and IT, serving as AI theme lead for the Defence Trailblazer Universities initiative with over $200 million in funding. His primary research focuses on sensing, guidance, and control for autonomous systems within robotics and unmanned aerial vehicles. Garratt's research spans robotics, swarm intelligence, and autonomous systems with emphasis on bio-inspired navigation techniques and adaptive flight control. His work addresses critical challenges including terrain following using vision systems, landing UAVs on moving platforms, and developing self-organizing swarms. He integrates artificial intelligence, computer vision, and machine learning to advance unmanned systems capabilities in complex environments. Analysis of his recent publications reveals strong trends in bio-inspired UAV navigation (particularly honeybee behavior modeling) and swarm robotics applications. His work increasingly incorporates deep learning for perception tasks while addressing real-world challenges like gas plume detection and adversarial robustness in 3D vision systems. The research demonstrates consistent progression toward practical implementation of autonomous systems in dynamic environments. Professor Garratt has secured over $7.7 million in external research funding as Chief Investigator on 33 grants. He actively mentors graduate students with scholarships available for Masters and PhD research in robotics and AI, focusing on: UAV path planning and adaptive control systems Swarm robotics collective motion optimization Bio-inspired autonomous navigation techniques Computer vision for robotic perception He co-founded the UNSW Canberra AIR (AI and Robotics) Group (AIR Lab), which drives research in trusted autonomy, swarm intelligence, and AI integration for defense applications. The lab develops practical solutions for autonomous systems operating in complex, real-world environments while maintaining ethical AI frameworks.
Kristiina Brunila is Professor of Educational Sciences at the University of Helsinki , Finland. She is affiliated with the Department of Educational Sciences , the AGORA Research Center for Social Justice and Equality in Education , the Institute of Sustainability Science (HELSUS) , and the Teachers' Academy . She also serves as a supervisor in the Doctoral Programs in Gender, Culture, and Society Studies and in School, Education, Society, and Culture. Her research critically examines the intersections of education, power, and governance , with a particular focus on neoliberal policy regimes , therapeutic governance , youth subjectification , and educational inequality . She employs feminist , deconstructive , and discursive methodologies to explore how education systems produce and regulate subjectivities under market-driven and psychologized paradigms. Brunila has led and co-led multiple externally funded research projects, including AGORAEd , FuturEd , CoSupport , and TASOVA , addressing themes such as social justice in education, youth vulnerability, and future-oriented governance. Her work has been recognized with awards such as the Maikki Friberg Equality Award and the Adult Educator of the Year . Scientific Awards: Adult Educator of the Year (2011) Faculty Student Union Merit Badge with Golden Merit (2012) Candidate for Bonus Magister – Excellent Teacher Award (2016) Honourable Mention, Nordic Journal of Migration Research Best Article Award (2024) Maikki Friberg Equality Award (2021) Doctoral Supervision and Mentoring: Supervisor or co-supervisor of 14+ doctoral theses Supervisor in Doctoral Program in Gender, Culture and Society Studies Supervisor in Doctoral Program in School, Education, Society and Culture Research Projects: AGORAEd : AGORA for the study of social justice and equality (Project Director) FuturEd : Interrupting Future Trajectories of the Precision Education Governance (Project Director) CoSupport : Interrupting Youth Support Systems in the Ethos of Vulnerability (Project Director) TASOVA : Equality in Regional Development (Project Director)
Jonas Beskow is a Professor and Head of Division at the Division of Speech, Music and Hearing at KTH Royal Institute of Technology. His research focuses on multimodal interaction, speech synthesis, robotics, and human-robot interaction. He leads the Learning style variation in nonverbal behaviour for social robots and agents project as part of Digital Futures, a cross-disciplinary research center. His work involves developing social robots like the Furhat head and advancing technologies for gesture synthesis, audio-driven motion, and adaptive intelligent systems. He holds roles as Co-PI for the Advanced Adaptive Intelligent Systems (AAIS) and Adaptive Intelligent Homes (AIH) projects. His research spans robotics, computer graphics, and clinical applications such as dementia detection through multimodal patient behavior analysis. Beskow also contributes to educational initiatives, supervising courses in computer science and engineering, including degree projects in machine learning and systems engineering. Publications highlight innovations in gesture generation, speech-driven animation, and socially-aware robotics. Collaborations with institutions like Stockholm University and RISE Research Institutes drive interdisciplinary solutions. His work bridges artificial intelligence, human-computer interaction, and assistive technologies, emphasizing ethical and societal impacts of emerging digital systems.
Roozbeh Tabrizian is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Florida, holding the Nelms Rising Star Endowed Professorship. His research focuses on RF micro- and nano-electro-mechanical systems (RF N/MEMS), nonlinear and nonreciprocal systems, and ferroelectric materials for sensing and information processing. He has received prestigious awards including the NSF CAREER Award (2018) and DARPA Young Faculty Award (2019). Education: PhD in Electrical Engineering from Georgia Tech (2013), BS from Sharif University of Technology (2007). Research interests include developing temperature-stable acoustic resonators, ferroelectric transducers, and novel materials for high-frequency applications. His work bridges nanotechnology, materials science, and MEMS to create innovative devices for communication and sensing. Key scientific awards include the HWCOE Innovation Award (2025), DARPA Director’s Fellowship (2021), and multiple best paper awards at international conferences. His grants include the NSF CAREER Award supporting nano-acoustic waveguide research. He advises on advanced MEMS fabrication techniques and collaborates on CMOS-compatible resonators. His lab develops nanoelectromechanical tags for anti-counterfeiting and high-precision frequency control systems.
Osama Bilal is an Assistant Professor at the University of Connecticut (UConn), leading the We-Xite Lab focused on Wave Engineering through Extreme & Intelligent Materials. His research explores metamaterials for programmable wave control, combining mechanics, materials science, and advanced manufacturing. He holds a multidisciplinary background in aerospace engineering, computer science, and condensed matter physics from institutions including Caltech, ETH Zurich, and Cairo University. Prof. Bilal’s work bridges theory, simulations, and experiments to design multifunctional structures with unprecedented properties. Key areas include acoustic metamaterials, soft robotics, and topology optimization. His lab has developed 3D-printed ferroelectric programmable metamaterials and bistable systems for selective wave filtering. Notable recognitions include the ARL Postdoctoral Fellowship, ETH Zurich Postdoctoral Fellowship, and inclusion in the World’s Top 2% Scientists list. Research Groups: Active Faculty Member, Applied Mechanics & Advanced Materials Processing Lab Activities: Supervises students like Roshdy M., Samak M.M., and Evan, who have won multiple top awards in competitions. Recent publications highlight breakthroughs in flat band phononic metamaterials, auxetic metamaterial dynamics, and self-assembly of magnetic lattices. His team has presented at ASME IMECE and won best presentation awards at conferences like Phononics in Manchester. Ongoing projects aim to advance programmable materials for energy localization, flow control, and biomedical applications.
Nuno Fernandes Crespo is an Associate Professor at the Department of Strategic Management and Marketing, Lisbon School of Economics & Management (ISEG), University of Lisbon. He holds a PhD in Management (2013), a Master's in Management and Industrial Strategy (2004), and a Bachelor's in Management (1999) from ISEG. His research focuses on International Business, Entrepreneurship, and Strategic Agility in international new ventures (INVs), particularly during crises. He has published extensively in journals like International Business Review , Journal of International Management , and Technological Forecasting & Social Change . His 15 most recent works (2023–2025) explore themes including: Business model innovation during crises Supplier-country image effects in B2B marketing Sustainable entrepreneurship in family firms Digitalization and early internationalization strategies Country-of-origin stereotypes in industrial marketing Dynamic capabilities in INVs He supervises Master's students in topics spanning internationalization, digital transformation, family business strategy, and innovation. Professional roles include coordinating the Master's in Management and Industrial Strategy (2016–2022), serving on ISEG’s Executive Commission, and leading the Doctoral Program in Management (2018–2022). His methodology integrates empirical research, mixed methods, and configurational approaches.
Janarthanan Rajendran is an Assistant Professor and the Sexton Chair in Reinforcement Learning at the Faculty of Computer Science, Dalhousie University, in Halifax, Nova Scotia, Canada. He is actively involved in research, teaching, and mentoring, with a focus on deep reinforcement learning and its applications in complex, dynamic environments. Education: Postdoctoral Fellow, Mila Quebec AI Institute and University of Montreal, Canada (2023) PhD in Computer Science and Engineering (AI stream), University of Michigan, Ann Arbor, USA (2021) MTech and BTech in Electrical Engineering, Indian Institute of Technology Madras, India (2016) His research focuses on enabling machines to learn through interaction, with core interests in deep reinforcement learning, model-based RL, multi-agent systems, transfer learning, and applications in materials science and economics. He also explores the integration of large language models and foundation models into reinforcement learning frameworks. His work emphasizes adaptivity, lifelong learning, and societal implications of AI. The most recent publications show a strong trend in advancing cooperative multi-agent systems, developing adaptive and memory-efficient RL methods, and applying RL to real-world challenges such as crystal design and dynamic pricing. His research bridges theoretical innovation with practical application, often in interdisciplinary contexts. Scientific Awards: Sexton Chair in Reinforcement Learning Dr. Rajendran is actively involved in mentoring graduate students and fostering an inclusive research environment. He is currently recruiting PhD and MCS students at Dalhousie University. He has no formal grants listed in the text, but his research chair and active publication record suggest strong funding support. He is also engaged in the broader AI community, having organized and participated in major conferences such as the Atlantic Canada AI Summit and NeurIPS. Labs and Research Groups: He leads a research group focused on deep reinforcement learning at Dalhousie University, working on topics including model-based RL, off-policy learning, and leveraging external knowledge sources. The group emphasizes inclusivity and supports underrepresented groups in computer science research.
Denni Arli is an Associate Professor in Marketing and Discipline Lead at the Tasmanian School of Business and Economics (TSBE), University of Tasmania. He has previously held academic positions at the University of Minnesota Duluth, USA, and Griffith University, Australia, demonstrating a strong international academic trajectory. His primary affiliation is with the Department of Marketing within the TSBE, where he contributes significantly to research, teaching, and leadership. His educational qualifications include a PhD in Marketing from the University of New South Wales, a Master of Arts in International Business from St. Mary's University of Minnesota, USA, and a Bachelor of Architecture from Petra Christian University, Indonesia. These diverse academic foundations underpin his multidisciplinary research approach. Denni Arli's research centers on critical social and ethical dimensions of consumer behavior. His principal areas of interest include Social Marketing , Consumer Ethics , Corporate Social Responsibility (CSR) , Consumer Religiosity , and Marketing Technology . He investigates how values, beliefs, and societal issues influence marketing practices and consumer decisions, particularly in contexts involving sustainability, health, and digital innovation. His work often adopts a cross-cultural perspective, engaging with collaborators from Australia, the USA, New Zealand, India, and Indonesia. His recent publications (2023–2025) reveal a consistent and impactful research agenda focused on ethical consumerism, digital marketing ethics, sustainability, and the role of religiosity in shaping consumer attitudes. Topics range from cultured meat acceptance and green marketing orientation to eWOM in tourism and privacy concerns in online advertising. These works are published in top-tier journals such as the Journal of Business Ethics , European Journal of Marketing , and Marketing Intelligence and Planning , indicating high scholarly impact and thematic coherence. Associate Editor , Marketing Intelligence and Planning (since June 2023) Editorial Review Board Member , Journal of Business Ethics, Springer (since February 2023) Denni Arli is actively involved in research supervision and grant acquisition. He currently supervises doctoral research on sustainable rural markets, cultured meat acceptance, and entrepreneurial intention among youth. He has successfully secured competitive external funding, including an Australian Research Council (ARC) Linkage Grant and grants from the Department of Foreign Affairs and Trade, supporting projects on social marketing interventions in Australia and Indonesia. These projects address pressing societal challenges such as alcohol use, obesity, tourism recovery, and sustainability education. He leads and participates in funded research initiatives, including a consultancy for the Tasmanian Greens on greyhound racing industry transition and a DFAT-funded project to equip Indonesian teachers with sustainability education tools. These engagements highlight his commitment to applying academic research to real-world policy and community outcomes.
Johan Eker is a Professor in Real-Time Control Systems at Lund University's Faculty of Engineering and a Principal Researcher in Cloud Technology at Ericsson Research. He holds a dual affiliation, actively contributing to both academic and industrial research in the domain of control systems and cloud automation. His research interests lie at the intersection of computer science and control theory, with a focus on the automation of large-scale software systems such as cloud services and telecommunications networks. He leverages machine learning and advanced control methodologies to develop intelligent, adaptive, and scalable systems. His work benefits from close collaboration with Ericsson Research, enabling access to real-world data and operational environments for validation and innovation. Johan Eker is involved in cutting-edge research areas including autonomous cloud systems, event-based control, and learning-based control architectures. His contributions support the evolution of resilient, efficient, and self-managing infrastructures in modern computing and networking environments. He is actively engaged in research collaboration between academia and industry, bridging theoretical advancements with practical deployment. His work is supported through partnerships with Ericsson, allowing for real-world testing and implementation of control solutions in cloud and telecom systems. Johan Eker is affiliated with the Department of Control Engineering at Lund University, where his expertise contributes to education and research in systems, control, and real-time computing. He plays a key role in advancing the integration of control theory into modern software and networked systems.
