People
Head of the research centre
Timo Hämäläinen
- Professor
- Computer Engineering
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358408490777
- timo.hamalainen@tuni.fi
Responsibilities
Head of the Unit of Computing Sciences, Professor (Computer engineering)
Deputy head of the research centre
Ari Kulmala
- Professor of Practice
- Järjestelmäpiirien suunnittelu
- Faculty of Information Technology and Communication Sciences
- Tampere University
- ari.kulmala@tuni.fi
About me
I have long history working in industry with System-on-chips and also leading cutting edge chip development organizations using various technologies and application areas ranging from datacenter grade to ultra low power IoT.
Responsibilities
I have been working on System-on-chip (SoC) Architecture and design including ASIC and FPGA (digital hardware and embedded software). Applications include telecom (5G and so) infrastructure & user equipment, Cloud acceleration, ML/AI, security, as well mobile chips with ultra low power consumption. On top of technical topics, I have been leading tools, processes and methodologies development.
Research topics
System on Chip
Professors
Jarno Vanne
- Professor
- tietokonetekniikka
- Faculty of Information Technology and Communication Sciences
- Tampere University
- jarno.vanne@tuni.fi
Matti Mäntysalo
- Professor
- Elektroniikka
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358407576800
- matti.mantysalo@tuni.fi
Pekka Jääskeläinen
- Associate Professor
- ohjelmistotekniikka (sulautetut järjestelmät)
- Faculty of Information Technology and Communication Sciences
- Tampere University
- pekka.jaaskelainen@tuni.fi
Karri Palovuori
- Professor
- elektroniikka
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358408490093
- karri.palovuori@tuni.fi
Jari Nurmi
- Professor
- Communications engineering
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358405064460
- jari.nurmi@tuni.fi
-
Contact by email beforehand.
- https://orcid.org/0000-0003-2169-4606
About me
Over 30 years experience on electronics, computer engineering, communications engineering and positioning technologies, both in academia and industry. Organizing conferences and other events and doctoral education are close to my heart.
Responsibilities
As a professor (since 1999) the main tasks include research fund raising, research management, supervision of doctoral and MSc students, and education and research. Director of national DELTA doctoral training network, head of the European Joint Doctorate A-WEAR at Tampere University, coordinator of APROPOS MSCA ITN, and organizer of several international conferences per year as a chairman or steering group member. Research Integrity Advisor.
Field of expertise
Expertise in embedded processor systems, reconfigurable computing, approximate computing, digital circuits and systems, digital implementations of communications receivers and networks, software-defined radio, software-defined networking, positioning technology (in particular GNSS receiver architectures).
Research career
Research assistant 1987-88, Research Scientist 1988-91, acting Associate Professor 1991-1993, Senior Research Scientist 1994, Vice President (VLSI Solution Oy) 1995-98, Full Professor 1999-
Degrees: MSc (Tech) 1988, Licentiate (Tech) 1990, DSc (Tech) 1994
32 supervised PhD dissertations, examiner or opponent for about 50 PhD dissertations worldwide, over 150 supervised/examined MSc theses, editor of 5 books, awards as conference organizer and innovator.
Head of A-WEAR joint doctoral program at Tampere University, vice chair of the steering group of the international BSc program, steering group member of four international conferences (chairman in two: IEEE Nordic Circuits and Systems Conference, International Conference on Localization and GNSS), member of the VLSI Systems and Applications technical committee at IEEE Circuits and Systems Society, editorial board member in three international scientific journals. Tampere Congress Ambassador. Research Integrity Advisor.
Selected recent publications:
Tiago Troccoli, Juho Pirskanen, Jorge Morte, Aleksandr Ometov, Elena Simona Lohan, Ville Kaseva, and Jari Nurmi, “Efficient Embedded Fixed-Point Direction of Arrival Method,” in IEEE Sensors, vol. 24, no. 6, 15 March 2024. Doi 10.1109/JSEN.2024.3361658.
Hans Jakob Damsgaard, Antoine Grenier, Dewant Katare, Zain Taufique, Salar Shakibhamedan, Tiago Troccoli, Georgios Chatzitsompanis, Anil Kanduri, Aleksandr Ometov, Aaron Yi Ding, Nima Taherinejad, Georgios Karakonstantis, Roger Woods, and Jari Nurmi, “Adaptive Approximate Computing in Edge AI and IoT Applications: A Review,” in Journal of Systems Architecture, Elsevier, 2024.
Antoine Grenier, Jie Lei, Hans Jakob Damsgaard, Enrique S. Quintana-Ortí, Aleksandr Ometov, Elena Simona Lohan, and Jari Nurmi, “Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms,” in Sensors, MDPI, 2024.
Majed Imad, Antoine Grenier, Xiaolong Zhang, Jari Nurmi, and Elena Simona Lohan, “Ionospheric Error Models for Satellite-Based Navigation - Paving the Road Towards LEO-PNT Solutions,” in Computers, MDPI, 2024, 13(1), 4, https://doi.org/10.3390/computers13010004.
Antoine Grenier, Elena Simona Lohan, Aleksandr Ometov, and Jari Nurmi, “Towards Smarter Positioning through Analyzing Raw GNSS and Multi-Sensor Data from Android Devices: A Dataset and an Open-Source Application,” in Electronics, MDPI, 2023, 12(23), 4781, https://doi.org/10.3390/electronics12234781.
Aditi Site, Jari Nurmi, and Elena Simona Lohan, “Machine-learning-based diabetes prediction using multi-sensor data,” in IEEE Sensors, 2023, doi: 10.1109/JSEN.2023.3319360.
Pavel Pascacio de Los Santos, Joaquin Torres Sospedra, Sven Casteleyn, Elena Simona Lohan, and Jari Nurmi, “L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting,” in IEEE Sensors, 2023, doi: 10.1109/JSEN.2023.3308147.
Dewant Katare, Diego Perino, Jari Nurmi, Martijn Warnier, Marijn Janssen, and Aaron Yi Ding, “A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services,” in IEEE Communications Surveys & Tutorials, 2023, doi: 10.1109/COMST.2023.3302474.
Darwin Quezada-Gaibor, Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Mikko Valkama, Joaquín Huerta, and Joaquín Torres-Sospedra, “Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive,” in IEEE Journal of Indoor and Seamless Positioning and Navigation, vol. 1, 2023, pp. 53-68 doi: 10.1109/JISPIN.2023.3299433.
Hans Jakob Damsgaard, Aleksandr Ometov, Md Munjure Mowla, Adam Flizikowski, and Jari Nurmi, “Approximate Computing in B5G and 6G Wireless Systems: A Survey and Future Outlook,” in Computer Networks, Elsevier, 2023.
Antoine Grenier, Elena Simona Lohan, Aleksandr Ometov, and Jari Nurmi, “A Survey on Low-Power GNSS,” in IEEE Communications Surveys and Tutorials, 2023. doi: 10.1109/COMST.2023.3265841.
Lucie Klus, Roman Klus, Joaquin Torres Sospedra, Elena Simona Lohan, Carlos Granelli, Jari Nurmi, “EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets,” in IEEE Transactions on Mobile Computing, 2023.
Iñigo Cortés, Johannes Rossouw Van der Merwe, Elena Simona Lohan, Jari Nurmi, and Wolfgang Felber, “Low-Complexity Adaptive Full Direct-State Kalman Filter for Robust GNSS Tracking,” in Sensors, 2023, 23, 3658. https://doi.org/10.3390/s23073658.
Tiago Troccoli, Juho Pirskanen, Jari Nurmi, Aleksandr Ometov, Jorge Morte, Elena Simona Lohan, and Ville Kaseva, “Direction-of-Arrival Method for L-Shaped Array with RF Switch: An Embedded Implementation Perspective,” in Sensors, MDPI, 2023, 23(6), 3356, doi: 10.3390/s23063356.
Aleksandr Ometov, Anzhelika Mezina and Jari Nurmi, "On Applicability of Imagery-Based CNN to Computational Offloading Location Selection," in IEEE Access, vol. 11, pp. 2433-2444, 2023, doi: 10.1109/ACCESS.2022.3232469.
Joaquín Torres-Sospedra, Darwin Quezada Gaibor, Jari Nurmi, Yevgeni Koucheryavy, Elena Simona Lohan, and Joaquin Huerta, “Scalable and Efficient Clustering for Fingerprint-Based Positioning,” in IEEE Internet of Things Journal, vol. 10, no. 4, pp. 3484-3499, Feb.15, 2023, doi: 10.1109/JIOT.2022.3230913.
Hans Jakob Damsgaard, Aleksandr Ometov, and Jari Nurmi, “Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review,” in ACM Computing Surveys, 2022 (online), doi: 10.1145/3572772.
Aditi Site, Saigopal Vasudevan, Samuel Afolaranmi, Jose L. Martinez Lastra, Jari Nurmi, and Elena Simona Lohan, “A Machine-Learning-Based Analysis of the Relationships between Loneliness Metrics and Mobility Patterns for Elderly,” in Sensors, MDPI, 2022, 22(13), 4946. doi: 10.3390/s22134946.
Iñigo Cortés, Johannes Rossouw van der Merwe, Elena Simona Lohan, Jari Nurmi, and Wolfgang Felber, “Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter,” in Sensors, MDPI, 2022, 22(2), 420. doi: 10.3390/s22020420.
Darwin Quezada Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, and Joaquín Huerta, “Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-denied Scenarios - A Systematic Review,” in Sensors, MDPI, 2022, 22, 110. doi: 10.3390/s22010110
Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, and Jari Nurmi, “A Survey of Security in Cloud, Edge, and Fog Computing,” in Sensors, MDPI, 2022, 22, 927. doi: 10.3390/s22030927.
Aditi Site, Jari Nurmi, and Elena Simona Lohan, “Systematic Review on Machine-Learning Algorithms used in Wearable-based eHealth Data Analysis,” in IEEE Access, 2021, doi: 10.1109/ACCESS.2021.3103268.
Pavel Pascacio, Sven Casteleyn, Joaquin Torres Sospedra, Elena Simona Lohan, and Jari Nurmi, “Collaborative Indoor Positioning Systems: A Systematic Review,” in Sensors, MDPI, 2021, 21, 1002. https://doi.org/10.3390/s21031002.
Lucie Klus, Roman Klus, Elena Simona Lohan, Carlos Granell, Jukka Talvitie, Mikko Valkama, and Jari Nurmi, “Direct Lightweight Temporal Compression for Wearable Sensor Data,” in IEEE Sensors Letters, Jan. 2021, doi: 10.1109/LSENS.2021.3051809.
Iñigo Cortés, Johannes Rossouw van der Merwe, Jari Nurmi, Alexander Rügamer, and Wolfgang Felber, “Evaluation of Adaptive Loop-Bandwidth Tracking Techniques in GNSS Receivers,” in Sensors, MDPI, 2021, 21, 502. https://doi.org/10.3390/s21020502.
Most cited publications (Google Scholar):
Xin Wang, Tapani Ahonen, and Jari Nurmi, “Applying CDMA Technique to Network-on-Chip,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 15, No. 10, pp. 1091-1100, October 2007.
Jari Nurmi, Hannu Tenhunen, Jouni Isoaho, and Axel Jantsch (Eds.), Interconnect-Centric Design for Advanced SoC and NoC, Kluwer Academic Publishers, 2004, ISBN 1-4020-7835-8.
Pavel Pascacio, Sven Casteleyn, Joaquin Torres Sospedra, Elena Simona Lohan, and Jari Nurmi, “Collaborative Indoor Positioning Systems: A Systematic Review,” in Sensors, MDPI, 2021, 21, 1002. doi: 10.3390/s21031002.
Tapani Ahonen, David Sigüenza Tortosa, and Jari Nurmi, “Topology Optimization for Application-Specific Networks-on-Chip,” in Proc. 6th International Workshop on System Level Interconnect Prediction, Paris, France, February 14-15, 2004.
Jari Nurmi (Ed.), Processor Design: System-on-Chip Computing for ASICs and FPGAs, Springer, 2007, ISBN 978-1-4020-5529-4.
Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, and Jari Nurmi, “A Survey of Security in Cloud, Edge, and Fog Computing,” in Sensors, MDPI, 2022, 22(3), 927. doi: 10.3390/s22030927.
Ilkka Saastamoinen, David Sigüenza Tortosa and Jari Nurmi, ”Interconnect IP Node for Future System-on-Chip Designs,” in Proc. 1st International Workshop on Electronic Design, Test & Applications Delta2002, Christchurch, New Zealand, January 29-31, 2002, pp. 116-120.
David Sigüenza Tortosa and Jari Nurmi, “Proteo: A New Approach to Network-on-Chip,” in Proc. International Conference on Communication Systems and Networks (CSN’02), Malaga, Spain, September 9-12, 2002, pp. 355-357.
Ilkka Saastamoinen, Mikko Alho and Jari Nurmi, “Buffer Implementation for Proteo Networks-on-Chip,” in Proc. International Symposium on Circuits and Systems ISCAS 2003, Bangkok, Thailand, May 25-28, 2003.
Jari Nurmi, Elena-Simona Lohan, Stephan Sand, and Heikki Hurskainen (Eds.), GALILEO Positioning Technology, Springer, 2014, ISBN 978-94-007-1829-6, Doi 10.1007/978-94-007-1830-2.
Waleed Bin Qaim, Aleksandr Ometov, Antonella Molinaro, Ilaria Lener, Claudia Campolo, Elena Simona Lohan, and Jari Nurmi, “Towards Energy Efficiency in the Internet of Wearable Things: A Systematic Review,” in IEEE Access, 2020, doi: 10.1109/ACCESS.2020.3025270.
David Sigüenza Tortosa, Tapani Ahonen and Jari Nurmi, “Issues in the Development of a Practical NoC: The Proteo Concept,” in Integration, The VLSI Journal, Elsevier, Vol. 38, pp. 95-105, October 2004.
Jari Nurmi, “Network-on-Chip: A New Paradigm for System-on-Chip Design,” invited paper in Proc. International Symposium on System-on-Chip SoC 2005, Tampere, Finland, November 15-17, 2005, pp. 2-6.
David Sigüenza Tortosa and Jari Nurmi, “VHDL-based Simulation Environment for Proteo NoC,” in Proc. Seventh Annual IEEE International Workshop on High Level Design Validation and Test (HLDVT’02), Cannes, France, October 27-29, 2002, pp. 1-6.
Omer Anjum, Tapani Ahonen, Fabio Garzia, Jari Nurmi, Claudio Brunelli, and Heikki Berg, “State of the Art Baseband DSP Platforms for Software Defined Radio: a Survey,” in EURASIP Journal on Wireless Communication and Networking, Hindawi, June 2011. doi:10.1186/1687-1499-2011-5.
Heikki Hurskainen, Elena Simona Lohan, Xuan Hu, Jussi Raasakka, and Jari Nurmi, “Multiple Gate Delay Tracking Structures for GNSS Signals and Their Evaluation with Simulink, SystemC and VHDL,” in International Journal of Navigation and Observation, Hindawi, vol. 2008, Article ID 785695, 17 pages, 2008. Doi:10.1155/2008/785695.
Francescantonio Della Rosa, Mauro Pelosi, and Jari Nurmi, "Human-Induced Effects on RSS Ranging Measurements for Cooperative Positioning," in International Journal of Navigation and Observation, vol. 2012, Article ID 959140, 13 pages, 2012. doi:10.1155/2012/959140.
Sayani Majumdar
- Associate Professor
- Thin Film Electronics
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358405946214
- +358405946214
- sayani.majumdar@tuni.fi
About me
My core research interest is development of Neuromorphic Computing hardware for next generation of energy-efficient, intelligent and adaptive computing and sensing. More specifically, my team's research focus is Non-volatile Memories, synaptic weight elements and leaky-integrate and fire neuron components based on Back-end CMOS compatible Ferroelectric thin films and oxide or 2D semiconductor based heterostructures. My research experience and interest also includes Spintronic components like magnetic tunnel junctions and different other emerging solid state electronic devices including optoelectronic and flexible and wearable sensor components.
Responsibilities
Teaching Courses on Semiconductor Device Physics (spring 2024) and Future Computing Devices and Architecture (upcoming, Fall 2024) and Research on Beyond CMOS computing devices and systems.
Field of expertise
Micro and Nanoscale Solid-state Electronic Device design and fabrication; Characterization; Modelling; and Neuromorphic Computing.
Research topics
- Neuromorphic Computing and Adaptive Sensing for Extreme Edge devices
- Low-thermal budget ferroelectric memories
- Atomic Layer Deposited (ALD) thin film devices
Research unit
Electrical Engineering
Research fields
Neuromorphic Computing hardware; Non-volatile memories; Sensing; Optoelectronics, Cryogenic Electronics for Quantum Computing
Research career
- I did my Ph. D. from Indian Association for the Cultivation of Science in 2006 working on fundamental physics of complex oxide materials down to deep cryogenic temperatures.
- As a post-doctoral fellow in Åbo Akademi University and University of Turku in Finland, I initiated and led research on hybrid spintronic components.
- I was chosen a Junior Group Leader by Turku Collegium for Science and Medicine working on Spintronic Components between 2010-2013.
- I worked as a visiting scientist in Francis Bitter Magnet Laboratory, Massachusetts Institute of Technology, USA in 2010 and 2011, working on magnetic tunnel junctions.
- I was an Academy Research Fellow in Aalto University, Finland , with my key research focus on ferroelectric tunnel junction based memristors and their application as electronic synapses and neurons in neuromorphic computing.
- As a senior scientist in VTT, my research portfolio was further diversified to include development of 2D semiconductor based memory and logic components based on ALD grown Hafnia based ferroelectric memory (FeFET, FeTFT) devices for energy-efficient hardware for neuromorphic computing.
Broadly, my team's research goal is Development of Neuromorphic Computing hardware based on low thermal budget and sustainable materials and processes. To achieve this goal, we work on different sub-topics ranging from materials, devices, modelling, design, high-end fabrication and system level integration.
- Modelling Ferroelectric Hysteresis of HZO Capacitor with Jiles-Atherton Model for Non-Volatile Memory Applications, Ella Paasio, Mika Prunnila, Sayani Majumdar, IEEE 12th Non-Volatile Memory Systems and Applications Symposium (NVMSA), Niigata, Japan, pp.1, 2023. doi: 10.1109/NVMSA58981.2023.00019.
- Back-end and Flexible Substrate Compatible Analog Ferroelectric Field Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators, S Majumdar, I Zeimpekis, Advanced Intelligent Systems, 2300391 (2023).
- Large-area synthesis of high electrical performance MoS2 by a commercially scalable atomic layer deposition process, N Aspiotis, K Morgan, B März, K Müller-Caspary, M Ebert, E Weatherby, S Majumdar, I Zeimpekis, npj 2D Materials and Applications 7 (1), 18 (2023).
- An efficient deep neural network accelerator using controlled ferroelectric domain dynamics, S Majumdar, Neuromorphic Computing and Engineering 2 (4), 041001 (2022).
- Back-End CMOS Compatible and Flexible Ferroelectric Memories for Neuromorphic Computing and Adaptive Sensing, S Majumdar, Advanced Intelligent Systems 4, 2100175 (2022).
- Ultrafast Switching and Linear Conductance Modulation in Ferroelectric Tunnel Junctions via P (VDF-TrFE) Morphology Control, S Majumdar, Nanoscale 13, 11270-11278 (2021).
- Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves, H Tan, Q Tao, I Pande, S Majumdar, F Liu, Y Zhou, POÅ Persson, J Rosen, S van Dijken, Nature communications 11 (1), 1369 (2020).
- Crossover from synaptic to neuronal functionalities through carrier concentration control in Nb-doped SrTiO3-based organic ferroelectric tunnel junctions, S Majumdar, H Tan, I Pande, S van Dijken, APL Materials 7, 091114 (2019).
- Energy‐Efficient Organic Ferroelectric Tunnel Junction Memristors for Neuromorphic Computing, S Majumdar, H Tan, Q Qin, S van Dijken, Advanced Electronic Materials 5, 1800795 (2019).
Vishnu Unnikrishnan
- Assistant Professor
- mikroelectronics
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358505973906
- vishnu.unnikrishnan@tuni.fi
Field of expertise
Microelectronics, analog/RF/mixed-signal circuits, digital integrated circuits, data conversion, nanometer-scale CMOS, signal processing
Research topics
My research is broadly on developing architectures, circuit techniques and signal processing concepts towards energy-efficient high-performance analog/digital/RF/mixed-signal integrated circuits and systems in nanometer-scale CMOS nodes. A dominant theme is to explore the possibility of building analog/mixed-signal circuits with digital/switch components by utilizing time-based parameters of pulse waveform for representation of analog information, thus improving the scaling-friendliness and cross-technology portability of analog interfaces. Starting from behavioral modeling of systems and communication links along with underlying nonidealities, we develop new system architectures and circuit techniques to push the performance boundary, and validate them in Silicon by designing and characterizing prototype chips in nanometer-scale CMOS technologies. Application areas of interest include 5G-Advanced/6G wireless transceivers, high-speed serial links and wireline transceivers, biomedical electronics etc. The group works in close collaboration with the SoC Hub, an ecosystem created Tampere University and a consortium of local businesses to boost research and education in the area of system-on-chip design, thus achieving synergy with industrial interests.
Applications are invited from highly motivated and talented individuals towards doctoral studies and postdoctoral research (salaried positions), throughout the year. Paid master thesis work and summer jobs are also available in the area of IC design and signal processing. Please contact for more information.
Research fields
Active research areas/projects include the following, but are not limited to those.
- Time-Based Data Conversion Circuits (VCO-based ADCs, time-based ADCs, TDCs, time-interleaved ADCs)
- High-Speed Serial Links (SerDes, wireline transceivers, waveform design)
- Wireless Transceiver Circuits for 5G/6G (Wideband receivers, beamforming, wideband transmitters)
- Digital-assistance for analog interfaces (Linearization of ADCs, linearization of PAs, compensation of mismatch errors and layout effects in transceiver circuits)
- Efficient implementation of digital circuits like filters and arithmetic circuits towards high-speed and low-power operation
Research career
Funding:
- EU Marie Curie ITN (SMArT, 860921): 818 kEUR
- Academy of Finland Project Funding (2021, 351235): 821 kEUR
- A. Ghosh, A. Spelman, T. H. Cheung, D. Boopathy, K. Stadius, M. D. Gomony, M. Valkama, J. Ryynänen, M. Kosunen, V. Unnikrishnan, "Reconfigurable Signal Processing and DSP Hardware Generator for 5G and Beyond Transmitters," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 32, no. 1, pp. 4-15, Jan. 2024, doi: 10.1109/TVLSI.2023.3326159.
- A. Fischer-Bühner, A. Brihuega, L. Anttila, M. Turunen, V. Unnikrishnan, M. D. Gomony, M. Valkama, "Sparsely Gated Mixture of Experts Neural Network For Linearization of RF Power Amplifiers," in IEEE Transactions on Microwave Theory and Techniques, 2023, doi: 10.1109/TMTT.2023.3341616.
- V. Lampu, G. Xu, A. Brihuega, M. Kosunen, V. Unnikrishnan, J. Ryynänen, C. Fager, M. Valkama, "Multilevel Outphasing With Over-the-Air Combining in Large Antenna Arrays," in IEEE Transactions on Communications, vol. 71, no. 12, pp. 7347-7362, Dec. 2023, doi: 10.1109/TCOMM.2023.3312683.
- K. Spoof, M. Tenhunen, V. Unnikrishnan, K. Stadius, M. Kosunen and J. Ryynänen, "True-Time-Delay Receiver IC With Reconfigurable Analog and Digital Beamforming," in IEEE Access, vol. 10, pp. 116375-116383, 2022, doi: 10.1109/ACCESS.2022.3219938.
- O. Järvinen et al., "Energy-Efficient Cyclic-Coupled Ring Oscillator With Delay-Based Injection Locking," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 9, pp. 3709-3713, Sept. 2022, doi: 10.1109/TCSII.2022.3176805.
- O. Järvinen, I. Kempi, V. Unnikrishnan, K. Stadius, M. Kosunen and J. Ryynänen, "Fully Digital On-Chip Wideband Background Calibration for Channel Mismatches in Time-Interleaved Time-Based ADCs," in IEEE Solid-State Circuits Letters, vol. 5, pp. 9-12, 2022, doi: 10.1109/LSSC.2022.3145918.
- O. Järvinen, V. Unnikrishnan, W. Siddiqui, T. Korhonen, K. Koli, K. Stadius, M. Kosunen, J. Ryynänen, "A 100–750 MS/s 11-Bit Time-to-Digital Converter With Cyclic-Coupled Ring Oscillator," in IEEE Access, vol. 9, pp. 48147-48156, 2021, doi: 10.1109/ACCESS.2021.3068838.
- V. Unnikrishnan, O. Järvinen, W. Siddiqui, K. Stadius, M. Kosunen and J. Ryynänen, "Data Conversion With Subgate-Delay Time Resolution Using Cyclic-Coupled Ring Oscillators," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 29, no. 1, pp. 203-214, Jan. 2021, doi: 10.1109/TVLSI.2020.3031028.
- K. Spoof, M. Zahra, V. Unnikrishnan, K. Stadius, M. Kosunen and J. Ryynänen, "A 0.6–4.0 GHz RF-Resampling Beamforming Receiver With Frequency-Scaling True-Time-Delays up to Three Carrier Cycles," in IEEE Solid-State Circuits Letters, vol. 3, pp. 234-237, 2020, doi: 10.1109/LSSC.2020.3012654.
- K. Spoof, V. Unnikrishnan, M. Zahra, K. Stadius, M. Kosunen and J. Ryynänen, "True-Time-Delay Beamforming Receiver With RF Re-Sampling," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 12, pp. 4457-4469, Dec. 2020, doi: 10.1109/TCSI.2020.3005475.
- O. Olabode, M. Kosunen, V. Unnikrishnan, T. Palomäki, T. Laurila; K. Halonen, J. Ryynänen, "Time-Based Sensor Interface for Dopamine Detection," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 10, pp. 3284-3296, Oct. 2020, doi: 10.1109/TCSI.2020.3008363.
- V. Unnikrishnan and M. Vesterbacka, "Mitigation of Sampling Errors in VCO-Based ADCs," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 7, pp. 1730-1739, July 2017, doi: 10.1109/TCSI.2017.2670058.
- V. Unnikrishnan and M. Vesterbacka, "Time-Mode Analog-to-Digital Conversion Using Standard Cells," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 61, no. 12, pp. 3348-3357, Dec. 2014, doi: 10.1109/TCSI.2014.2340551.
Markku-Juhani Saarinen
- Professor of Practice
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358504387655
- markku-juhani.saarinen@tuni.fi
About me
I started as a cryptographer at SSH Communications Security in 1997 and I am still on that path. I have also worked in more general technical information security consulting and security assessment roles. I did my Ph.D. in the United Kingdom (ISG, Royal Holloway, University of London in 2009).
Responsibilities
In addition to regular academic tasks (research activities, teaching, supervision of theses, subject matter expert roles), a Professor of Practice in Information Security helps the university and its students to meet the evolving requirements of industry, businesses, and the state and acts as a technical contact person in research projects and curriculum development.
Field of expertise
My core competencies are in applied cryptography, cryptographic engineering, and security assessments (including cryptanalysis.)
Accelerating SLH-DSA by Two Orders of Magnitude with a Single Hash Unit
Saarinen, M.-J. O., 16 elok. 2024, Advances in Cryptology – CRYPTO 2024: 44th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 18–22, 2024, Proceedings, Part I. Springer, s. 276-304 29 Sivumäärä (Lecture Notes in Computer Science; Vuosikerta 14920).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Mask Compression: High-Order Masking on Memory-Constrained Devices.
Saarinen, M.-J. O. & Rossi, M., 2024, Selected Areas in Cryptography – SAC 2023. Springer, s. 65-81 17 Sivumäärä (Lecture Notes in Computer Science; Vuosikerta 14201).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Threshold Raccoon: Practical Threshold Signatures from Standard Lattice Assumptions.
Pino, R. D., Katsumata, S., Maller, M., Mouhartem, F., Prest, T. & Saarinen, M.-J. O., 2024, Annual International Conference on the Theory and Applications of Cryptographic Techniques: EUROCRYPT. Springer, s. 219-248 30 Sivumäärä ( Lecture Notes in Computer Science; Vuosikerta 14651).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
High-Order Masking of Lattice Signatures in Quasilinear Time
Pino, R. D., Prest, T., Rossi, M. & Saarinen, M.-J. O., 2023, 2023 IEEE Symposium on Security and Privacy (SP). IEEE, s. 1168-1185 18 Sivumäärä (Proceedings of the IEEE Symposium on Security and Privacy).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
WrapQ: Side-Channel Secure Key Management for Post-quantum Cryptography
Saarinen, M. J. O., 2023, Post-Quantum Cryptography - 14th International Workshop, PQCrypto 2023, Proceedings. Johansson, T., Smith-Tone, D. & Smith-Tone, D. (toim.). Springer, s. 637-657 21 Sivumäärä (Lecture Notes in Computer Science; Vuosikerta 14154 LNCS).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Development of the RISC-V entropy source interface
Saarinen, M.-J. O., Newell, G. R. & Marshall, B., 2022, julkaisussa: JOURNAL OF CRYPTOGRAPHIC ENGINEERING. 12, 4, s. 371-386 16 Sivumäärä, 4.Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu
SP 800-22 and GM/T 0005-2012 Tests: Clearly Obsolete, Possibly Harmful
Saarinen, M. J. O., 2022, Proceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022. IEEE, s. 31-37 7 Sivumäärä (Proceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
WiP: Applicability of ISO Standard Side-Channel Leakage Tests to NIST Post-Quantum Cryptography
Saarinen, M. J. O., 2022, Proceedings of the 2022 IEEE International Symposium on Hardware Oriented Security and Trust, HOST 2022. IEEE, s. 69-72 4 Sivumäärä (Proceedings of the 2022 IEEE International Symposium on Hardware Oriented Security and Trust, HOST 2022).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
On Entropy and Bit Patterns of Ring Oscillator Jitter
Saarinen, M. J. O., 2021, Proceedings of the 2021 Asian Hardware Oriented Security and Trust Symposium, AsianHOST 2021. IEEE, 6 Sivumäärä (Proceedings of the 2021 Asian Hardware Oriented Security and Trust Symposium, AsianHOST 2021).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Building a Modern TRNG: An Entropy Source Interface for RISC-V
Saarinen, M. J. O., Newell, G. R. & Marshall, B., 13 marrask. 2020, ASHES 2020 - Proceedings of the 4th ACM Workshop on Attacks and Solutions in Hardware Security. ACM, s. 93-102 10 Sivumäärä (ASHES 2020 - Proceedings of the 4th ACM Workshop on Attacks and Solutions in Hardware Security).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Alejandro Cabrera Aldaya
- Assistant Professor
- information security
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358505322412
- alejandro.cabreraaldaya@tuni.fi
Research unit
NISEC
Research fields
Information Security, Cryptography, Side-channel Attacks
Mikko Valkama
- Professor
- Communications Engineering
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358408490756
- mikko.valkama@tuni.fi
Antonios Michalas
- Associate Professor
- Cyber security
- Faculty of Information Technology and Communication Sciences
- Tampere University
- +358504478399
- antonios.michalas@tuni.fi
About me
I received my PhD in Provable Security and Privacy from Aalborg University, Denmark and I currently work as an Associate Professor at the Department of Computing Sciences where I also lead the Network and Information Security group (NISEC). The group comprises PhD students, professors a nd researchers. Group members conduct research in areas spanning from the theoretical foundations of cryptography to the design and implementation of leading-edge efficient and secure communication protocols. Apart from my research work at NISEC, as an associate professor, I am actively involved in the teaching activities of the University. Finally, my role expands to student supervision and research project coordination.
You can find more information on my profile and my latest activities at www.amichalas.com
Field of expertise
- Applied Cryptography;
- Operations on Encrypted Data;
- Privacy Enhancing Technologies;
- Privacy-Preserving Machine Learning;
- and...anything that looks interesting!
A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning
Khan, T., Nguyen, K. & Michalas, A., 2024, Secure IT Systems: 28th Nordic Conference, NordSec 2023, Oslo, Norway, November 16–17, 2023, Proceedings. Fritsch, L., Hassan, I. & Paintsil, E. (toim.). Cham: Springer, s. 307-329 23 Sivumäärä (Lecture Notes in Computer Science; Vuosikerta 14324).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
FE[r]Chain: Enforcing Fairness in Blockchain Data Exchanges Through Verifiable Functional Encryption
Nuoskala, C., Rabbaninejad, R., Dimitriou, T. & Michalas, A., kesäk. 2024, Proceedings of the 29th ACM Symposium on Access Control Models and Technologies (SACMAT 2024). ACM, s. 183-191 9 SivumääräTutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
Frimpong, E., Nguyen, K., Budzys, M., Khan, T. & Michalas, A., 2024, Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC '24). ACM, s. 953-962 10 SivumääräTutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation
Khan, T. & Michalas, A., 2024, Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023. Hu, J., Min, G. & Wang, G. (toim.). IEEE, s. 62-71 10 Sivumäärä (IEEE International Conference on Trust, Security and Privacy in Computing and Communications).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning
Khan, T., Budzys, M. & Michalas, A., 24 kesäk. 2024, Proceedings of the 29th ACM Symposium on Access Control Models and Technologies (SACMAT 2024). ACM, s. 19-30 12 SivumääräTutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Need for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices
Frimpong, E., Bakas, A., Foucault, C. & Michalas, A., 2024, Proceedings of the 9th International Conference on Internet of Things, Big Data and Security, IoTBDS 2024. Kobusinska, A., Jacobsson, A. & Chang, V. (toim.). Science and Technology Publications (SciTePress), s. 62-74 13 Sivumäärä (International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Khan, T., Budzys, M., Nguyen, K. & Michalas, A., heinäk. 2024, Proceedings on Privacy Enhancing Technologies. 3 toim. Vuosikerta 2024. s. 144-164 21 SivumääräTutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Split Without a Leak: Reducing Privacy Leakage in Split Learning
Nguyen, K., Khan, T. & Michalas, A., 2024, Security and Privacy in Communication Networks - 19th EAI International Conference, SecureComm 2023, Proceedings. Duan, H., Debbabi, M., de Carné de Carnavalet, X., Luo, X., Au, M. H. A. & Du, X. (toim.). Springer, s. 321-344 24 Sivumäärä (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vuosikerta 568 LNICST).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
stoRNA: Stateless Transparent Proofs of Storage-time
Rabaninejad, R., Abdolmaleki, B., Malavolta, G., Michalas, A. & Nabizadeh, A., 2024, Computer Security – ESORICS 2023 - 28th European Symposium on Research in Computer Security, 2023, Proceedings. Tsudik, G., Conti, M., Liang, K. & Smaragdakis, G. (toim.). Springer, s. 389-410 22 Sivumäärä (Lecture Notes in Computer Science; Vuosikerta 14346 LNCS).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum
Kiss, T., Ullah, A., Terstyanszky, G., Kao, O., Becker, S., Verginadis, Y., Michalas, A., Stankovski, V., Kertesz, A., Ricci, E., Altmann, J., Egger, B., Tusa, F., Kovacs, J. & Lovas, R., 2024, Advanced Information Networking and Applications: Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5. Springer, Vuosikerta 5. s. 89-100 12 Sivumäärä (Lecture Notes on Data Engineering and Communications Technologies; Vuosikerta 203).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu