Find Academic Supervisors

Kwantae Kim is an Assistant Professor at the Department of Electronics and Nanoengineering within Aalto University's School of Electrical Engineering . He leads the Tiny Systems and Circuits (TSirc) Group , focusing on power-efficient analog/mixed-signal ICs for biomedical and neuromorphic sensor systems. IEEE Senior Member (2025) Collaborates with institutions across Europe, Asia, and America Specializes in ultra-low-power AI-embedded IoT platforms His research emphasizes Tiny, Sensory, Intelligent, and Wireless IoT systems through: Development of energy-efficient IC architectures Democratizing access to advanced chip design Hardware-software co-design for edge computing Recent publications highlight innovations in: Spoken-language-understanding SoCs Temporal-sparsity-aware keyword spotting Open-source silicon frameworks Awards include: 2025 IEEE Senior Member 2023 Best Poster Award (AICAS) 2019 Samsung HumanTech Silver Award Research partnerships span: Prof. Tobi Delbruck (UZH/ETH Zurich) Prof. Hoi-Jun Yoo (KAIST) Prof. Shih-Chii Liu (UZH) Prof. Sohmyung Ha (NYU Abu Dhabi)

• Power-Efficient Analog/Mixed-Signal Integrated Circuits
• Biomedical Sensor Systems
• Neuromorphic Sensor ICs
• +3 more

Dr. Vishnu Unnikrishnan is an Assistant Professor at the Department of Electrical Engineering, Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on energy-efficient high-performance analog/digital/RF integrated circuits and systems in nanometer-scale CMOS technologies. Key areas include time-based data conversion, high-speed serial links, and 5G/6G wireless transceivers. He leads research on analog interfaces using digital/switch components and collaborates with the SoC Hub ecosystem to bridge academic and industrial interests in system-on-chip design. He has secured significant funding, including an EU Marie Curie ITN grant (SMArT) worth €818k and an Academy of Finland Project (2021) of €821k. His work spans over 40 peer-reviewed publications, emphasizing innovations in time-based ADCs, beamforming receivers, and RF system design. Dr. Unnikrishnan actively supervises doctoral and postdoctoral researchers, offers paid master's theses and summer jobs in IC design, and collaborates with industry through the SoC Hub. His research aims to advance cross-technology portable analog interfaces and high-performance mixed-signal systems.

• Microelectronics
• Analog/RF/Mixed-Signal Circuits
• Digital Integrated Circuits
• +3 more

Jussi Ryynänen is a Professor and Dean at Aalto University's School of Electrical Engineering, leading the Electronic Circuit Design (ECD) unit within the Department of Micro and Nanosciences. His research focuses on integrated circuits, wireless transceivers, and millimeter-wave systems, with a strong emphasis on RF, analog, and digital IC design. The ECD unit is internationally recognized for its work in nanoscale IC technologies and advanced measurement infrastructure. Key research areas include time-based integrated circuits, beam-steering/MIMO systems, antenna-IC co-design, and RF DAC/ADC development. His work combines cutting-edge semiconductor technologies with innovative circuit architectures for high-speed communication and sensor applications. The group maintains extensive collaborations and funding networks supporting its interdisciplinary projects. Ryynänen's research has been honored with awards such as the ECCTD Best Student Paper (2015), Crowncom Student Award (2011), and a best paper at the Advances in Cognitive Radio Conference (2012). His group actively publishes in top-tier venues like IEEE Transactions on VLSI Systems and IEEE Access, addressing challenges in mmWave circuits, neural network accelerators, and reconfigurable DSP hardware. Current projects span automated design frameworks for analog circuits, passive CMOS circulators for nonreciprocal systems, and energy-efficient signal processing architectures for 5G/6G transmitters. His work bridges fundamental circuit theory with practical implementations for next-generation communication systems.

• Integrated Circuits
• Wireless Communications
• CMOS
• +7 more

Marko Kosunen is an Associate Professor at Aalto University's Department of Electronics and Nanoengineering. He holds M.Sc., Lic.Sc., and D.Sc. (Tech.) degrees from Helsinki University of Technology (now part of Aalto University), completed in 1998, 2001, and 2006, respectively. He served as a visiting scholar at the Berkeley Wireless Research Center, UC Berkeley (2017–2019), supported by a Marie Sklodowska-Curie EU grant. He co-chairs Microelectronics Finland, a collaborative body linking academia and industry in microelectronics research and education. His research focuses on programmatic circuit design methodologies, digital-intensive time-based data converters, transceiver circuits, and RISC-V-based microprocessor implementations with DSP accelerators. He has authored/co-authored over 100 peer-reviewed papers and holds multiple patents. His work spans VLSI systems, RF IC design, and energy-efficient signal processing architectures. Recent articles highlight advancements in automated comparator design frameworks, 5G transmitter hardware, and neural network accelerators. His contributions often bridge theoretical design methodologies with practical applications in wireless communication and AI hardware. Dr. Kosunen actively collaborates with industry partners, evidenced by his role in Microelectronics Finland and co-authored works addressing real-world challenges like 5G transceiver efficiency and in-sensor neural processing.

• Microelectronics
• VLSI Design
• Analog-to-Digital Converters
• +3 more

Ahmed Mohey is a Doctoral Researcher at Aalto University's Department of Electronics and Nanoengineering. His research focuses on analog and mixed-signal integrated circuit design with applications in time-domain signal processing, power management, and in-sensor/memory computing. Education: B.Sc. and M.Sc. in Electrical Engineering from Ain Shams University (2012, 2018) His research interests emphasize time-domain signal processing , sensing interfaces , and in-sensor computing for enhanced embedded systems performance. Recent publications highlight advancements in all-digital neural network accelerators and precision in-sensor processing techniques using cutting-edge 22-nm technology. He is affiliated with the Jussi Ryynänen Group , focusing on next-generation integrated circuit solutions for low-power and high-efficiency applications.

• Analog and Mixed-Signal Integrated Circuit Design
• Time-Domain Signal Processing
• Sensing Interfaces
• +3 more

Assistant Professor Martin Andraud at Aalto University School of Electrical Engineering specializes in integrating artificial intelligence (AI) with integrated circuit design to create energy-efficient, adaptable electronic devices. His work focuses on embedded AI systems for portable devices like smartphones and medical equipment, emphasizing adaptability through machine learning and energy efficiency. Research interests include neuromorphic circuits, CAD tools for adaptive systems, and environmental sustainability in electronics. His group develops strategies for circuits to self-adapt via machine learning algorithms and custom analog/mixed-signal designs, aiming to reduce power consumption while enhancing functionality. Contact: TUAS-building, Room 2192, Aalto University, Espoo, Finland. While no specific grants or awards are listed, his contributions bridge AI and hardware innovation, addressing challenges in IoT and sustainable electronics. No student advisement details are provided in the texts.

• Artificial Intelligence
• Integrated Circuit Design
• Energy-Efficient Electronics
• +3 more

Kari Halonen serves as Professor in the Department of Electronics and Nanoengineering at Aalto University School of Electrical Engineering. Leading the Kari Halonen Group, his research focuses on ultra-low-power electronics for energy-constrained applications including wireless sensor networks, wearable systems, and implantable medical devices. His work bridges the Internet of Everything with personalized health technologies through advanced signal acquisition and power management solutions. Research interests center on sensor electronics and energy harvesting with emphasis on ultra-low-power analog/digital implementations for wireless sensor devices. Key application areas include personalized health monitoring through advanced user interfaces and biomedical information acquisition. Current projects demonstrate practical implementations like the Gesture Sensor Interface Demonstrator for gaming applications and urine-powered sensor nodes for smart diapers. Recent publications (2024-2025) reveal strong focus on flexible electronics for biomedical applications, temperature-invariant circuits , and in-memory computing architectures . Work spans neuromorphic computing, printed energy harvesters, and RF-to-DC converters, consistently targeting sub-nW power consumption for batteryless systems. Major venues include IEEE Transactions journals, ISCAS, and FLEPS conferences. Scientific awards include: Beatrice Winner Award at IEEE Solid-State Circuits Conference (2002) Best paper award at Asian Conference on Millimeter-wave circuits and Technology (2007) Second best paper award at ECCTD Conference (2007) As primary advisor, Halonen supervises doctoral researchers including Gaurav Singh and Kazybek Adam. His group develops practical demonstrators like the Gesture Sensor Interface while advancing theoretical foundations in ultra-low-power circuit design. Current projects integrate printed electronics with biological energy harvesting, targeting commercialization through Aalto University's research portal. The Kari Halonen Group operates within Aalto's Department of Electronics and Nanoengineering, utilizing facilities in the TUAS-building at Maarintie 8, Espoo. Collaborations span biomedical researchers (Raimo Sepponen) and semiconductor experts across multiple institutions, with recent work appearing in IEEE IoT Journal and SN Computer Science.

• Wireless Sensor Networks
• Energy Harvesting
• Ultra-Low-Power Electronics
• +5 more