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Niko NevarantaView profile

Associate Professor

• Electrical and Electronic Engineering
• Control and Systems Engineering
• Modelling and Simulation
• +6 more

Niko Nevaranta serves as an Associate Professor (Tenure Track) in the Department of Electrical Engineering at Lappeenranta-Lahti University of Technology (LUT), specifically within the School of Energy Systems. His academic journey began at LUT where he earned his B.Sc. (2010), M.Sc. (2011), and D.Sc. (2016) degrees in electrical engineering. His career path includes a visiting researcher position at KTH Royal Institute of Technology in Stockholm (2018) and a post-doctoral researcher role funded by the Academy of Finland (2019-2022). Nevaranta's research focuses on data-driven modeling and control systems for electromechanical and energy applications. His primary expertise lies in Industrial Informatics for Energy System Disruption, with specific interests in high-speed rotating machinery, system identification, parameter estimation, and intelligent control systems. His work bridges theoretical control engineering with practical industrial applications, particularly in the energy transition sector. Analysis of his recent publications reveals a strong emphasis on active magnetic bearing technology, rotor dynamics, and high-speed machinery applications. His research increasingly incorporates data-driven approaches and machine learning techniques to address complex control challenges in energy systems. The publications demonstrate a clear progression from fundamental control theory toward practical implementation in real-world energy conversion systems. As an educator, Nevaranta has developed innovative teaching materials for control engineering, including MATLAB-based tools and virtual learning environments. His educational contributions focus on making complex control concepts accessible to undergraduate students through interactive and visual learning approaches. Nevaranta works within the laboratory of Control Engineering and Digital Systems at LUT, where he leads research on advanced control methodologies for energy systems. His current projects involve high-speed machine technology, particularly in applications related to biomass and waste heat recovery, as well as emerging technologies in direct air capture systems.

• Information Systems
• Supply Chain Management
• Digital Transformation
• +5 more

Federico Pigni serves as Dean of Faculty, Pedagogy, and Research at Grenoble Ecole de Management (GEM), where he holds a full Professorship in Information Systems within the Management of Technology and Strategy department. His academic journey includes a cum laude Business Administration degree and a Ph.D. in Management Information Systems and Supply Chain Management. He has held teaching roles at institutions including Carlo Cattaneo University, the Catholic University of Milan, and Università Commerciale Luigi Bocconi in Milan. Beyond academia, Pigni co-founded Lab4Consulting (2000–2006), a web and software consultancy focused on IT innovation in banking, and completed a post-doctorate at France Télécom R&D in Sophia Antipolis, developing inter-organizational ICT adoption methodologies. His research focuses on strategic applications of information systems, particularly in interorganizational contexts and digital technologies for customer service innovation. Notable projects include the EU-funded EpilepsyPOWER initiative promoting workplace inclusion for epilepsy patients, and the TRIPBAM project leveraging digital data streams for pandemic resilience. His work spans digital transformation frameworks, cybersecurity investments, and big data analytics' impact on competitive advantage. He has authored over 100 publications, including seminal works on IT ambiguity, DevOps frameworks, and supply chain digitalization. Pigni has led collaborative initiatives like the ECOLEAD network supporting SMEs' interorganizational systems and contributed to projects such as the SOLMED solar energy desalination initiative. His expertise bridges academic research with industry practice, emphasizing real-world applications of emerging technologies to drive organizational value creation and societal impact.

Atanas GeorgievView profile

Associate Professor

• Energy Economics
• Infrastructure Management
• Sustainable Finance
• +5 more

Assoc. Prof. Atanas Georgiev is the Dean of Sofia University's Faculty of Economics and Business Administration (since 2019) and Head of the Industrial Economics and Management Department. He holds multiple leadership roles, including Director of the FEBA Net-Zero Lab and academic director of specialized master's programs like 'Energy Markets & Services' and 'Nuclear Technologies, Management, and Innovations.' His research focuses on energy economics, infrastructure management, and sustainable finance. Education & Professional Background: Ph.D. in Economics. Extensive experience in energy policy, regulatory frameworks, and academic administration. Research Interests: Economics and management in infrastructure, energy systems, and utilities. Specializes in renewable energy integration, regulatory policy, and sustainable development goals (SDGs). Projects & Grants: Led over €5.6M in projects including the EU-funded Twin2Green (€2.9M) and TWIN4ECO (€2.7M), as well as the JRC-funded 'Predict Air Pollution by Geo-locations in Sofia' (2019). Active in EU initiatives like the Transform4Europe project. Awards: Recognized in Darik Radio's '40 under 40' (2022) for contributions to academia and energy policy. Academic Leadership: Spearheaded curricular innovations, including 10+ new master's programs focused on energy, sustainability, and facility management. Increased student enrollment by 35% since 2019 through strategic partnerships with industry. Professional Roles: Member of the Bulgarian National Committee for the World Energy Council, EU Agency for the Cooperation of Energy Regulators (ACER), and advisory boards for the Green Finance & Energy Centre and the Bulgarian Industrial Association. Labs & Teams: Leads the FEBA Net-Zero Lab, promoting carbon neutrality strategies through interdisciplinary research and industry collaboration.

• Digital Circuit Design
• VLSI Systems
• Low-Power Electronics
• +3 more

Dr. Dimitrios Bakalis is an Assistant Professor at the Department of Physics, University of Patras, specializing in Digital Electronic Circuits and Systems. He joined the faculty in 2004 and focuses on the design and control of digital circuits, emphasizing low-power testing and built-in self-test (BIST) methodologies. His academic roles include teaching courses such as Computer Programming I, Digital Electronics, and Microcomputer Architecture at both undergraduate and postgraduate levels. Education: Diploma in Computer Engineering and Informatics (University of Patras) Master’s Degree in Computer Science and Technology (University of Patras) PhD in Computer Engineering and Informatics (University of Patras) Research Interests: His work revolves around VLSI design, arithmetic circuits, and low-power techniques. Key areas include modulo arithmetic circuits, fault-tolerant systems, and reconfigurable computing architectures. He has published over 50 papers in top-tier journals and conferences, contributing to advancements in digital circuit efficiency and reliability. Teaching: He instructs core courses in digital electronics and computer architecture, integrating cutting-edge research into his pedagogy. His MSc courses focus on FPGA-based digital system design, emphasizing practical applications. Labs/Teams: His research aligns with the Electronics & Computers sector within the Department of Physics, collaborating on projects involving arithmetic core optimization and low-power testing strategies.

• Human-Computer Interaction (HCI)
• Multimodal Interaction
• Visual Analytics
• +5 more

Denis Lalanne is a full Professor in the Department of Informatics at the University of Fribourg, leading the 'human-building interaction' group at the Smart Living Lab and directing the Human-IST institute . He specializes in Human-Computer Interaction (HCI), focusing on multimodal interaction, visual analytics, and Human-Building Interaction (HBI). His work bridges computer science with architecture and urban design to improve building occupants' comfort and accessibility. His research spans topics such as assistive technologies for visually impaired individuals, energy-efficient lighting systems, and predictive models for indoor environmental quality. He has led projects like the Human-IST Lab and SWICE (Sustainable Well-being in Energy Transition), emphasizing interdisciplinary collaboration between academia, industry, and public institutions. Key contributions include the development of frameworks for human-centric lighting, wearable sensors for urban comfort analysis, and empathic systems to enhance HCI. His work is published in top venues like ACM Transactions on Accessible Computing , IEEE , and CHI . Education and career highlights include a PhD from EPFL (Swiss Federal Institute of Technology), postdoctoral research at IBM’s USER Group, and prior teaching roles at the University of Avignon. He is a Swiss representative at IFIP TC13 and has organized major conferences like IHM 2016.

Joon-Ho ChoiView profile

Associate Professor

• Human-Building Integration
• Indoor Environmental Quality
• Cyber-Physical Systems
• +3 more

Dr. Joon-Ho Choi serves as the Associate Dean of Research and Creative Work and Associate Professor of Building Science in the School of Architecture at the University of Southern California. He directs both the Human-Building Integration Research Lab and the Center for Wellness in the Built Environment, focusing on occupant-centered building performance and environmental management. His research pioneers Human-Building Integration , where physiological occupant data (via wearable/remote sensors) merges with environmental building metrics to create intelligent control systems. Core expertise spans Indoor Environmental Quality , Cyber-Physical Systems , and Urban-Scale Building Energy Modeling , targeting sustainability, energy efficiency, and occupant wellbeing through bio-sensing adaptive controls and human performance quantification. Under his leadership, research initiatives develop human-centered frameworks for building environmental management, leveraging informatics to optimize performance while enhancing occupant quality of life through tailored environmental systems.

• Distributed Systems
• Blockchain Technology
• Graph Neural Networks
• +5 more

Hans-Arno Jacobsen is a Professor at Technische Universität München (Faculty of Computer Science, Germany) and the University of Toronto (Department of Electrical and Computer Engineering, Canada). His research spans distributed systems, blockchain technology, and machine learning for energy systems. Research Interests : Blockchain consensus algorithms, federated learning, graph neural networks, quantum computing applications, and energy-efficient distributed systems. Publication Trends : Recent work focuses on decentralized consensus in blockchains, energy-aware language model inferencing, quantum chemistry simulations, and graph neural network scalability. Collaborations : Regularly works with Ruben Mayer, Shashank Motepalli, and Gengrui Zhang on blockchain and machine learning projects.

Bradley EvansView profile

Professor

• Earth Observation
• Remote Sensing
• Environmental Science
• +6 more

Professor Bradley Evans is a distinguished Earth observation and remote sensing specialist at the University of New England, where he holds a position in the Faculty of Science, Agriculture, Business and Law within the School of Environmental and Rural Science. His expertise spans environmental science, biodiversity conservation, and the application of hyperspectral imaging spectroscopy to solve real-world environmental challenges. Previously, he has held significant positions including Director of Australia's Terrestrial Ecosystem Research Network and Director of Sydney Informatics Hub at The University of Sydney. PhD in Environmental Science, Murdoch University, Western Australia, 2013 Bachelor of Science with Honours in Environmental Science, Murdoch University, Western Australia, 2009 Bachelor of Science in Energy Studies, Murdoch University, Western Australia, 2009 Advanced Diploma in Marketing Management, TAFE NSW, Bradfield College, 1999 CASA RPAS sub 25kg (Multirotor Drone) certification Professor Evans's research focuses on applying advanced remote sensing techniques to environmental monitoring and conservation. His work integrates hyperspectral imaging with ecological modeling to address critical issues such as koala habitat mapping, forest health assessment, and water quality monitoring. He has pioneered approaches using plant fluorescence to model growth patterns and has contributed significantly to NASA's OCO2 mission. His recent work emphasizes the development of open-source tools for hyperspectral imaging, making advanced remote sensing more accessible to researchers worldwide. Analysis of Professor Evans's recent publications reveals a strong trend toward practical applications of hyperspectral imaging across diverse environmental contexts. His work spans from precision agriculture applications for cotton farming to koala habitat conservation, demonstrating the versatility of remote sensing technologies. The research shows increasing integration of machine learning techniques with hyperspectral data, enhancing the accuracy and efficiency of environmental monitoring systems. There's also a notable emphasis on open-source solutions, reflecting his commitment to democratizing access to advanced remote sensing technologies. 2016 – Terrestrial Ecosystem Research Network NSW – NSW Chief Scientist Award Multiple travel scholarships from NCCARF, EUFAR, and Australian Research Council 2010 Centre of Excellence for Climate Change PhD top-up Scholarship 2008 Master class Scholarship from Wentworth Group of Concerned Scientists Professor Evans has successfully supervised numerous PhD and Master's students across multiple institutions, demonstrating strong mentorship capabilities. His research is supported by substantial grants including the $198K NSW Department of Environment Koala's in the Landscape project (2023), the University of Sydney's Koala's in the Air project ($70K), and significant funding for the OpenHSI initiative. He has been a Chief Investigator for the Australian Research Council Training Centre on CubeSats, UAVs and Their Applications, securing funding for innovative remote sensing projects. His work with NASA JPL's Surface Biology and Geology Study and collaborations with international space agencies demonstrates the global impact of his research. At the University of New England since 2023, Professor Evans has established the Earth Observation Laboratory with a special focus on water and wildlife habitat (particularly koalas) and riverine water quality. He serves as Vice President of Earth Observation Australia and participates in the AquaWatch Steering Committee for the Commonwealth Department of Defence. His laboratory actively collaborates with industry partners like HyVista Corporation and academic institutions including The University of Sydney. The lab emphasizes open-source approaches to remote sensing technology, exemplified by the OpenHSI project, which has created accessible hyperspectral imaging solutions for researchers worldwide.

Clinton J. AndrewsView profile

Professor

• Climate Change Mitigation
• Climate Change Adaptation
• Urban Planning
• +9 more

Clinton J. Andrews is a Distinguished Professor, Associate Dean for Research, and Director of the Center for Urban Policy Research at the Edward J. Bloustein School of Planning and Public Policy, Rutgers University. He holds a Ph.D. in Regional Planning from MIT and has expertise in urban planning, public informatics, and climate policy. Education : Sc.B. with Honors in Engineering, Brown University S.M. in Technology and Policy, MIT Ph.D. in Regional Planning, MIT Research : Focuses on climate change adaptation/mitigation, urban heat stress, energy transition, and indoor environmental quality. His work bridges technological innovation with equitable urban development. Recent projects include coastal hazard fiscal impacts and low-income seniors' resilience to heat stress. Publications : Recent work addresses solar panel adoption, urban mobility safety, and GenAI governance, reflecting his interdisciplinary approach to urban challenges. Awards : Fellow of AAAS IEEE 3rd Millennium Medal Leadership : Editor of the Journal of Planning Education and Research, and editorial board member of the Journal of Industrial Ecology. Directs the Center for Urban Policy Research, fostering applied research on urban sustainability.

Yang LiView profile

Assistant Professor

• Computer Architecture
• Machine Learning
• On-Device AI
• +4 more

Yang Li is an Assistant Professor of Computer Science at Iowa State University, specializing in computer architecture, machine learning, and their intersection. He holds a Ph.D. and M.S. from Carnegie Mellon University (2020), an M.S.E. from the University of Texas at Austin (2013), and a B.E. from Tsinghua University (2011). Prior to academia, he worked as a Senior Research Scientist at Meta, a Research Scientist at Meta, and a Researcher at Microsoft. His research focuses on large language models (LLM) acceleration, on-device AI, cloud infrastructure optimization, and spatiotemporal forecasting. He has contributed to over 20 peer-reviewed publications at top venues like ASPLOS, EMNLP, and ICASSP. Research Interests: Algorithmic and systems-level acceleration of LLMs On-device AI co-design and privacy Cloud memory/power management Graph-based spatiotemporal forecasting Teaching: Taught COMS 6730 (Advanced Topics in ML), COM S 321 (Computer Architecture), and guest-lectured on graph signal processing. Recent teaching scores include 4.75/5.0 (Fall 2024) and 4.67/5.0 (Spring 2025). Awards: IBM Patent Application Award (2021) and multiple patents on power management systems for data centers. Service: Program committee member for DAC 2024, NeurIPS 2024, and ICLR 2025. Reviewer for ACM TACO, IEEE TPAMI, TPDS, and others.

• Analogue and Mixed Signal IC Design
• Digital System Design (FPGA)
• CMOS Lab-on-Chip Platforms
• +4 more

Junming Zeng is a Researcher at the Department of Electrical and Electronic Engineering, Faculty of Engineering at Imperial College London. His work focuses on advanced CMOS technologies for biomedical applications, including lab-on-chip platforms and ion imaging systems. He holds a PhD from Imperial College London (2022), following a Master's in Analogue and Digital Integrated Circuit Design (2017) and a Bachelor's in Electronic Engineering (2016), both from UK institutions. His research interests span analogue/mixed-signal IC design, FPGA-based digital systems, and ultra-high-speed ion sensing solutions. He has pioneered CMOS lab-on-chip platforms for real-time chemical monitoring and developed compressed sensing techniques for optimizing sensor array performance. His work integrates deep learning for applications like diabetes glucose prediction and drift compensation in ISFET sensors. Zeng has received the Best Student Paper Award (1st Prize) at ISCAS 2018 and Imperial's Department PhD Scholarship. His research bridges electrical engineering and biomedical engineering, with a focus on scalable, energy-efficient systems for healthcare and diagnostics. He leads projects involving edge computing, temporal fusion transformers, and microfluidic integration, demonstrating expertise in both hardware innovation and algorithmic development. His lab develops cutting-edge systems such as 1000fps ISFET SoCs with programmable gain and high-throughput digital readout architectures. Recent work includes live demonstrations of real-time pH monitoring in 3D-printed microfluidic systems and spatio-temporal ion membrane characterization platforms.

• Machine Learning
• Computer Science
• Medical Informatics
• +7 more

Yan Li is a researcher with extensive contributions across interdisciplinary domains including Machine Learning , Signal Processing , and Environmental Science . Affiliated with institutions such as the University of Southern Queensland , Hebei University , and Shandong University , Li's work spans applications in Medical Informatics , Remote Sensing , and Operations Research . Recent publications highlight expertise in Deep Learning (e.g., hyperspectral classification, image fusion), Stochastic Modeling (e.g., chemotaxis models), and Federated Learning (e.g., vertical federated fuzzy clustering). Collaborative projects include 3D Reconstruction , Smart Grid Security , and Landslide Monitoring using satellite data. Li's 2025 work demonstrates a focus on Medical Imaging (segmentation algorithms with dual-frequency decoupling), AI in Education (ChatGPT adoption), and Industrial IoT (GPU-accelerated vessel trajectory visualization). While no explicit academic rank is provided, their prolific publication record suggests a Researcher role.

• Artificial Intelligence
• Machine Learning
• Internet of Things (IoT)
• +5 more

G. Thippa Reddy is a prolific researcher with a focus on advanced technologies such as artificial intelligence, machine learning, and blockchain, particularly in healthcare, IoT, and cybersecurity domains. His work spans interdisciplinary areas including federated learning, edge computing, and smart city infrastructure. He has collaborated extensively with researchers like Praveen Kumar Reddy Maddikunta, Gautam Srivastava, and Mamoun Alazab, producing over 150 publications in high-impact journals like IEEE Access, IEEE Internet Things Journal, and IEEE Transactions on Industrial Informatics. His research emphasizes practical applications of AI in real-world scenarios, such as privacy-preserving medical systems, secure UAV networks, and inclusive education for individuals with disabilities. He explores cutting-edge topics like the Metaverse's role in Industry 5.0, blockchain-enhanced security frameworks, and the integration of large language models into intelligent transportation systems. Key contributions include frameworks for federated learning in healthcare, optimized routing protocols for underwater communications, and explainable AI (XAI) methods for industrial automation. His work often addresses challenges in scalability, privacy, and ethical deployment of emerging technologies.

Flemming DahlkeView profile

Assistant Professor

• Marine Ecology
• Climate Change Impacts
• Fisheries Science
• +1 more

Flemming Dahlke leads the Junior Research Group in Ecology of Living Marine Resources at University of Hamburg's Institute of Marine Ecosystem and Fisheries Sciences. His work examines climate change impacts on aquatic ecosystems. Research focuses on: Thermal bottlenecks in fish life cycles Ocean acidification effects Species distribution shifts Sustainable aquaculture solutions Publications demonstrate integrative approaches combining experimental physiology, ecological modeling, and climate projections. Notable contributions include identifying critical thermal thresholds during early developmental stages.

• Service-Oriented Architectures
• Cloud Computing
• Data Management
• +7 more

Professor Kyriazis Dimosthenis holds a faculty position at the Department of Digital Systems, University of Piraeus. He earned his diploma in Electrical & Computer Engineering from the National Technical University of Athens (2001) and a cross-disciplinary MSc in Techno-Economic Systems (2004). His academic rank is Professor specializing in service-oriented architectures with a focus on quality of service and workflow management. He has led European projects like BigDataStack, CrowdHEALTH, and CYBELE, addressing challenges in cloud computing, edge computing, and AI-driven solutions for healthcare, finance, and industrial sectors. His research emphasizes resilient service-oriented systems, AI explainability, and human-centric digital transformation. Notable contributions include frameworks for dynamic resource allocation in hybrid cloud/edge environments, AI applications for maritime safety, and data governance solutions for cross-sector integration. He coordinates initiatives such as the Future Internet Architecture Board and Cloud QoS&SLAs, driving advancements in federated data marketplaces and sustainable computing practices. His recent work explores Large Language Model (LLM) applications in financial decision-making, conversational AI for MLOps, and neurosymbolic systems for defect detection. He also investigates XAI methodologies, including VirtualXAI, which leverages GPT-generated personas for explainability assessment. His projects often bridge technical innovation with societal impact, such as the iHELP platform for holistic health records and SmartCHANGE for behavioral change strategies in youth health. Key themes in his publications include bias mitigation in machine learning, dynamic deployment prediction in hybrid cloud settings, and energy-efficient data spaces for mobility. He has contributed to standards like the H2020-funded IRMOS and 5GTANGO, emphasizing interoperability and fault-tolerant architectures. His work frequently intersects with EU policy frameworks, particularly in data governance and ethical AI implementation.