Dr. Mohamed Hassan is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on Cyber-Physical Systems-on-Chip (iCPSoCs) , emphasizing design, analysis, and deployment for critical domains like Unmanned Aerial Vehicles (UAVs), Autonomous Cars, and healthcare systems. Key research areas include hardware/software codesign, real-time systems, embedded systems, and security. He teaches courses such as COMPENG 4DM4 (Computer Architecture) and COMPENG 4DS4 (Embedded Systems) . His work bridges foundational theories (e.g., scheduling, AI) with infrastructure-level innovations (e.g., compilers, memory systems). The Fanos Research Lab he leads explores interdisciplinary solutions for efficient CPS-on-Chip, addressing challenges in multicore predictability, memory latency, and edge computing. Recent contributions include frameworks for explainable memory-centric workloads and techniques to accelerate TinyML inference. Dr. Hassan serves on Technical Program Committees for conferences like RTAS and OSPERT, highlighting his role in advancing real-time embedded systems research.
Elsa A. Olivetti is the Jerry McAfee (1940) Professor in Engineering and Professor of Materials Science and Engineering at MIT, and a MacVicar Faculty Fellow. She leads the Olivetti Group, focusing on sustainable materials design, recycling strategies, and computational models for environmental and economic impact assessment. Her work bridges materials science with sustainability, emphasizing circular economy principles and decarbonization. Education: B.S. in Engineering Science from University of Virginia (2000); Ph.D. in Materials Science and Engineering from MIT (2007). Her doctoral research centered on lithium-ion battery electrode materials. She joined MIT’s Department of Materials Science and Engineering (DMSE) in 2014 as an Assistant Professor, later advancing to full Professor. She co-directs the MIT Climate & Sustainability Consortium and chairs the MIT Climate Nucleus. Research interests include: sustainable materials systems, recycling-friendly material design, waste mining, and AI-driven materials discovery. She develops models for cost prediction, environmental impact analysis, and policy-relevant supply chain dynamics. Notable contributions include high-throughput zeolite design and battery recycling frameworks. Awards include the Bose Teaching Award (2021), NSF Early Career Award (2018), and Minerals, Metals & Materials Society Early Career Fellowship (2019). Her work emphasizes education and curriculum development, including courses for MIT’s Climate Scholars program. Labs/Teams: Olivetti Group (MIT), MIT Climate & Sustainability Consortium. Active in global sustainability initiatives, focusing on materials for energy transition and climate resilience.
Professor Pantelis Georgiou holds a faculty position in the Department of Electrical and Electronic Engineering at Imperial College London, leading the Bio-inspired Metabolic Technology Laboratory within the Centre for Bio-Inspired Technology. His research focuses on biomedical electronics, lab-on-chip technology, and micro-electronic medical devices. Key contributions include the bio-inspired artificial pancreas for diabetes treatment and CMOS-based pH sensors for DNA sequencing and infectious disease diagnostics. Education: 1st Class Honours MEng (2004) and PhD (2008) in Electrical & Electronic Engineering from Imperial College London. Professional roles include Head of Lab (2010), IEEE Distinguished Lecturer in Circuits and Systems, and Co-founder/Director of ProtonDx. Research interests span ultra-low power microelectronics, bio-inspired circuits, wearable technologies for chronic conditions, and antimicrobial resistance diagnostics. He has pioneered ISFET sensor integration and developed rapid diagnostic platforms for infectious diseases like dengue and mpox. Notable awards include the IET Mike Sergeant Medal (2013) and IEEE Sensors Council Technical Achievement Award (2017). Current projects involve AI-driven clinical decision support systems, antibiotic stewardship tools, and global health technologies for resource-limited settings. Affiliations include the CRUK Convergence Science Centre, Organ-on-chip Network, and Imperial College Network of Excellence in Malaria. His work bridges engineering and medicine, addressing global challenges through interdisciplinary innovation.
Davide Donadio is a Professor of Chemistry at the University of California, Davis. His research focuses on molecular modeling and simulations of materials, particularly in non-equilibrium processes, thermal transport, and nanostructure assembly. He leads the Naotheory Group, which develops predictive multiscale models for energy-related materials. Education : Habilitation in Materials Science, Italian Ministry for University and Research (2013) Ph.D. in Materials Science, University of Milano (2003) M.S. in Physics, University of Milano (1998) Research Interests : His work spans molecular-level understanding of energy conversion, thermal management, and nanostructure formation. Key areas include phononics, thermoelectrics, and interfacial phenomena in materials like ice surfaces, semiconductors, and clathrates. He employs machine learning and first-principles methods to bridge simulation and experiment. Awards : UC Davis Hellman Fellow (2017–2018) Young Scientist Award, Italian Institute for the Physics of Matter (1998) Grants & Labs : His funding and collaborations drive advancements in nanostructured materials and computational tools like PLUMED tutorials. The Naotheory Group actively publishes in high-impact journals and collaborates internationally on thermal transport and materials design.
Prof. Joris Pascal is a Lecturer in Life Science Technologies at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), affiliated with the School of Life Sciences and the Institute for Medical Engineering and Medical Informatics in Muttenz, Switzerland. He holds a Ph.D. in Microelectronics from the University of Strasbourg (2008), an M.S. in Electrical Engineering from Supélec (2005), and a B.S. in Electrical Engineering from the University of Strasbourg (2003). His professional experience includes roles as Senior Scientist and Scientist at ABB Switzerland Ltd. (2009–2015), and Research Assistant at the iCube laboratory (2005–2009). His research focuses on advanced biosignal processing, medical sensor systems, magnetic field sensing, and miniaturized diagnostic/therapeutic tools. Key projects include electromagnetic tracking systems for neurosurgery, magnetic safety assessment for MRI workers, and wearable sensor integration. He has 9 patents (5 granted, 4 pending) and extensive IEEE review involvement. Recent publications emphasize magnetic field cameras, MRI safety protocols, and nanoscale sensor technologies. His work bridges electrical engineering and biomedical applications, with contributions to medical robotics, portable NMR devices, and cardiac implant safety. Active in PhD committee roles and industry-academia collaborations, he leads projects at the intersection of sensor innovation and clinical needs.
Srikanth Rangarajan is an Assistant Professor at Binghamton University's School of Systems Science and Industrial Engineering. He holds a PhD and MS from the Indian Institute of Technology Madras (2017) and a BE from Anna University Chennai (2011). His research focuses on energy storage systems, thermal management of electronics, battery optimization, and digital twinning. He previously served as an Associate Research Professor in Mechanical Engineering at Binghamton under Bahgat Sammakia. Rangarajan authored the book Phase Change Material Heat Sinks: A multi-objective Perspective and holds a patent for a rotatable heat sink design. His teaching includes optimization techniques, thermal modeling, and neural networks. Recent work explores virus spread modeling via genetic algorithms, with a preprint under review in Journal of Healthcare Informatics . He has received multiple awards including an Institute Post-Doctoral Fellowship and Research Assistantships from the Indian government. His research bridges thermal engineering with advanced manufacturing and sustainability, addressing challenges in high-power electronics and data center cooling. Education: BE in Mechanical Engineering, Anna University (2011) MS in Thermal Engineering, IIT Madras (2017) PhD in Heat Transfer, IIT Madras (2017) Research Interests: Digital twin systems for battery optimization Thermal energy storage design Advanced electronics packaging Data center cooling innovations Phase change material composites His recent articles highlight cooling solutions for high-density electronics, battery recycling challenges, and predictive models for epidemiological patterns using computational methods. Ongoing work includes embedded cooling technologies for heterogeneous integrated circuits and sustainable thermal management strategies. Awards: Patent: Rotatable Heat Sink (Government of India) Institute Post-Doctoral Fellowship (IIT Madras, 2017) Research Associate, Divecha Centre (IISc, 2017) Half-Time Research Assistantship (MHRD, 2012-2013) Advising & Grants: While no formal advisees are listed, his prior roles indicate involvement in mentorship. His research has been supported by institutional grants including those from the Indian Ministry of Human Resource Development. Labs/Teams: Active in Binghamton's Systems Science and Industrial Engineering lab, collaborating on thermal management and additive manufacturing projects.
Dr. Yuanjing Lin is an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology. Her research centers on nanostructured materials and fabrication techniques for printable/wearable electrochemical sensors and energy storage devices, with applications in self-powered systems, health/environmental monitoring, and intelligent robotics. Ph.D., Electronic and Computer Engineering, Hong Kong University of Science and Technology (2014–2018) Visiting Research Student, UC Berkeley (2018) B.Eng., Electronic Science and Technology, Nankai University (2010–2014) Her work bridges flexible electronics, self-powered sensing, and digital healthcare. She has contributed to over 50 publications in top journals like Nature , Nature Nanotechnology , and Science Advances , focusing on wearable biosensors, textile electronics, and energy storage systems. Articles highlight advancements in printable photonic materials, sweat-activated micro-batteries, and self-powered sensing systems, with trends in flexible micro/nano electronics, biomedical applications, and sustainable energy solutions. IAAM Fellow (2025) Nano Letters Early Career Board (2025) Nanoscale Emerging Investigators (2024) SUSTech Excellent Teaching Award (2023) iCanX Summit Best Paper Award (2022) Dr. Lin actively recruits graduate/postdoctoral researchers in sensors, flexible electronics, and biomedical engineering. She serves as Associate Editor for Frontiers in Nanotechnology and editorial board member for Nano Letters , Biosensors , and FlexMat .
Francesco Regazzoni is a Senior Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), and affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). His work bridges embedded systems, cybersecurity, and artificial intelligence, with a focus on securing hardware and cyber-physical systems. Research Interests: His expertise spans embedded and cyber-physical systems security, side-channel attacks, post-quantum cryptography, hardware trojans, random number generators, and the security of AI and approximate computing. He also contributes to hardware/software co-design and operating systems security. The analysis of his recent publications reveals a consistent focus on hardware and system-level security , particularly in resource-constrained environments like IoT and embedded devices. His work integrates machine learning for attack detection and applies formal methods to ensure trust in hardware. A growing emphasis is placed on securing AI systems from physical and adversarial threats. Scientific Contributions: Over 100 peer-reviewed publications One book and one patent Extensive international collaboration (Belgium, Netherlands, USA, Switzerland, Singapore) Advising and Grants: While specific advisees and grants are not listed, his leadership in funded research projects and involvement with ALaRI and IDSIA suggest active mentorship and project coordination. His work has been supported by industry (e.g., ST Microelectronics, HP), the Swiss National Foundation, and the European Union. Labs and Teams: He is part of the Graph Machine Learning Group (GMLG) at IDSIA, which evolved from the Advanced Learning and Research Institute (ALaRI). This group focuses on graph machine learning, reinforcement learning, and dynamical systems, particularly in non-stationary environments.
Steven R. Spurgeon is a Senior Materials Data Scientist at the National Renewable Energy Laboratory (NREL) and holds an Affiliate Associate Professor position in Physics at the University of Washington (2021–2024). His pioneering work focuses on AI-driven materials discovery, electron microscopy, and interface science, with recognition through awards from the Materials Research Society and Microscopy Society of America. Education: PhD in Materials Science and Engineering, Drexel University Bachelor's in Materials Science and Engineering, Carnegie Mellon University Research Focus: Leads teams developing autonomous systems for materials discovery in extreme environments, computer vision for microelectronics analysis, and multimodal AI approaches for accelerated materials design. His work bridges fundamental interface science with applications in energy storage and radiation-hardened technologies. Honors & Activities: Editor for Microscopy and Microanalysis journal Member: American Physical Society, Materials Research Society, Microscopy Society of America Founding member of The Community for Autonomous Scientific Experimentation Leadership: Spearheads NREL's electron microscopy capabilities and industry partnerships transforming AI-guided materials research for sustainable technology solutions.
Dr. Yolita Eggeler is an Assistant Professor in the Department of Physics at the Karlsruhe Institute of Technology (KIT), leading the LEM (Laboratory for Experimental Materials) research group. Her work focuses on advanced materials science, nanotechnology, and additive manufacturing, with a particular emphasis on laser-based fabrication techniques, thermoelectric materials, and micro/nanostructural characterization. She is affiliated with the KIT Physics Department and collaborates on projects involving energy harvesting, semiconductor devices, and high-temperature alloy behavior. Research interests include: Laser microprinting of semiconductors and metals Thermoelectric generator design and optimization Nanoparticle synthesis and applications High-temperature material degradation and creep mechanisms Recent publications highlight innovations in photothermal laser printing of crystalline materials, novel thermoelectric modules, and core-shell nanocrystal engineering. Her work bridges fundamental materials science with applied technologies like flexible electronics and energy conversion systems. Key collaborations involve advanced TEM analysis for microstructural studies and correlative microscopy techniques. She is actively developing new methodologies for in-situ pyrolysis of 3D-printed materials and exploring AI-driven materials discovery through concept graph analysis. Laboratory facilities include state-of-the-art laser printing systems, electron microscopy setups, and thermal characterization equipment. Her team focuses on translating lab-scale innovations into scalable manufacturing processes for next-generation electronic and energy systems.
Dr. Nebojsa Stanković is an Assistant Professor at the Department of Information Technologies , Faculty of Technical Sciences Čačak , University of Kragujevac . With a career spanning over three decades in academia, he focuses on educational technology innovation , machine learning applications , and IT pedagogy . BSc: Electrical Engineering, University of Kragujevac (1991) MSc: Technical Sciences, University of Kragujevac (2009) PhD: Information Technologies, University of Kragujevac (2021) His research explores artificial intelligence in education , student success prediction , and e-learning systems . Recent work includes hybrid AI models for solar energy optimization and vibration classification in industrial settings. Publications demonstrate consistent engagement with machine learning , cybersecurity , and digital transformation in educational contexts. He actively contributes to international conferences like TIE and UNITECH, specializing in pedagogical applications of Python programming , NLTK , and MATLAB . As a certified ECDL examiner and conference organizer, he bridges academic research with practical IT training . His textbook on Multimedia Technologies (2019) exemplifies his commitment to educational resource development.
Dr. Spyros Blionas is a Visiting Professor at the University of Peloponnese's Department of Informatics and Telecommunications. He holds a Diploma in Physics (Electronics specialization) from the University of Athens (1983), an M.Sc. in Telecommunication Electronics (1986), and a Ph.D. in VLSI parallel architectures (1990) from the University of Patras. His career includes roles at the European Commission's Joint Research Centre (1988–1990), INTRACOM (1991–2006), and founding Micro2Gen (2006), a spin-off for VLSI technology in Molecular Diagnostics. He has taught at the Technological Educational Institute of Crete (2007–2009) and the University of Peloponnese (since 2009, promoted to Professor in 2021). His research focuses on embedded systems, System-on-a-Chip (SoC) design for telecommunications and biotechnology applications, including Lab-on-a-Chip instrumentation. He has authored/co-authored over 70 publications in journals/conferences and contributed to 20+ collaborative research projects, holding roles as researcher and coordinator. Dr. Blionas has participated in projects at the Centre for Technological Development of Crete and holds six patent applications. His work bridges microelectronics, digital design, and biosensor integration for healthcare and communication technologies.
Professor Joanna Batstone serves as the inaugural Director of the Monash Data Futures Institute and holds a Professor position in the Faculty of Information Technology at Monash University. She is a recognized thought leader at the intersection of artificial intelligence, data science, and social impact, with a career spanning both technical research and strategic leadership roles. Her research portfolio demonstrates a remarkable evolution from foundational work in materials science during the 1980s-1990s to her current focus on AI applications for social good. Early in her career, she conducted significant research in semiconductor physics, crystallization processes, and thin film materials. More recently, her work has pivoted to applying AI technologies to address pressing societal challenges in healthcare, Indigenous community health, climate change, and ethical AI frameworks. Analysis of her publication history reveals two distinct but connected phases of her academic career. The early phase focused on materials science with numerous publications on semiconductor crystallization and silicide formation. The more recent phase demonstrates a strategic shift toward AI applications for social impact, with publications on AI-assisted clinical trial recruitment, Indigenous community health programs, and food security initiatives in remote Australian communities. Healthcare Innovation: Developing AI solutions for clinical trial recruitment and drug discovery Social Equity: Designing benchmarking systems for healthy food stores in Indigenous communities Environmental Applications: Using AI to monitor and address climate-related challenges like bushfire impacts Ethical Frameworks: Establishing governance models for responsible AI implementation As Director of the Monash Data Futures Institute, Professor Batstone leads interdisciplinary research that bridges technical innovation with real-world social impact. She emphasizes the importance of preparing future technologists to engage with AI responsibly, recognizing that 'AI is not going to go away' and that society must 'optimise for benefit' and 'optimise for social good' while addressing inevitable challenges.
Dr. Waldemar Jendernalik is an Associate Professor at the Department of Microelectronic Systems, Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on low-power electronic circuits and signal processing systems with particular emphasis on specialized applications in auditory and visual domains. His primary research interests include: Ultra-low-power analog and mixed-signal circuit design CMOS filter design for auditory applications Analog-to-digital converters with embedded signal processing Electronic cochlea implementation Image sensor signal processing architectures Dr. Jendernalik's research demonstrates exceptional expertise in creating circuits that operate at extremely low voltages (down to 0.5V) and power levels (nanowatt range). His work on tunable biquadratic filters for electronic cochlea applications represents significant advancements in energy-efficient circuit design for biomedical applications. In the imaging domain, his innovations in rank-order filtering integrated directly within ADC architectures enable more efficient image processing at the pixel level. His recent publications in Electronics and IEEE Transactions on Circuits and Systems showcase his contributions to specialized circuit design with practical applications in hearing assistance technology and advanced imaging systems where power efficiency is critical. Dr. Jendernalik actively collaborates with researchers including J. Jakusz, M. Kłosowski, Y. Sun, and G. Blakiewicz, reflecting the interdisciplinary nature of his work that bridges electrical engineering, signal processing, and biomedical applications.
Massimo Violante is a Tenured Associate Professor at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino. He serves as Deputy Director of the Polytechnic School and holds leadership roles in multiple research centers including the Interdepartmental Center PEIC (Power Electronics Innovation Center) and the Spin-Off/Start-Up Evaluation Commission . With expertise in embedded systems , functional safety , and sleep analysis , he bridges automotive engineering with biomedical applications through his research. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE7_11 (Components/Applications), PE6_1 (Computer Architecture), PE6_3 (Software Engineering) SDG Alignment: Goal 3 (Health) and Goal 9 (Innovation) His research focuses on fault tolerance , driver safety aid systems , and functional safety standards like ISO26262. He leads groundbreaking work in real-time sleep prediction and automotive electronics reliability , including patented solutions for drowsiness detection and safety-critical systems . Recent projects span from GreenChips-EDU (education ecosystem for sustainable microelectronics) to HiEFFICIENT (wide band gap power electronics for electric vehicles). Violante has supervised numerous PhD students including Sara Groppo (health monitoring for newborns), Michele Guagnano (sleep monitoring), and Pietro D'Agostino (Industrial IoT solutions). He has received prestigious recognition including the IEEE Best Paper Award (2005) and leadership roles as Program Chair for major symposiums like the IEEE European Test Symposium . His teaching portfolio includes foundational courses in Model-based Software Design , Operating Systems for Embedded Systems , and Technologies for Autonomous Vehicles . Major Projects: EU-funded: Cynergy4MIE (2024-2027), ShapeFuture (2024-2027), A-IQ Ready at EDGE (2023-2025) Nationally/Regionally funded: EMC2 (2014-2017), MIE (2014-2017), FELIX (2007-2010) Commercial contracts: Automotive Academy (2019-2020), Vodafone IoT Academy courses (2019-2021), Smartwatch-based drowsiness detection systems As a prolific inventor, he holds multiple international patents in driver state monitoring , microsleep prediction , and emergency intervention analysis . His work demonstrates a unique convergence of automotive engineering , biomedical applications , and high-reliability computing .
