Tampere University

Tampere University – Information Technologies and Communication Sciences

Contact persons:

Dr. Sayani Majumdar

Associate Professor, Electrical Engineering

Tampere University 33720 Tampere, Finland.

Phone: +358405946214

Email:sayani.majumdar@tuni.fi

Expertise

		Main Expertises
Beyond CMOS	Novel computing architectures (Neuromorphic, Quantum, etc.)	Neuromorphic Devices (Synapses and neurons), Neuromorphic circuits for edge learning, Non-volatile Memories, Cryogenic Electronics
	Small slope switches-TFET/Fe Transistors/Dirac-Source FET/NEMS/etc.	TFET/2D-FETs/FeFETs
	Alternative materials-2D layers	2D semiconductors
	Very low temperature electronics	Cryogenic memories
	Amorphous Oxide Semiconductor FETs	IGZO-FeFETs
More Moore	Memories	2D materials memristors Smart interconnects
More than Moore	Flexible electronics	2D semiconductor-based wearable in-sensor computing
Smart systems& Systems design	Smart systems	Associative learning systems using sensor fusion and memristive technology

Research interests

		Research interests
Beyond CMOS	Novel computing architectures (Neuromorphic, Quantum, etc.)	To develop 3D integrated intelligent chips combining CMOS logic with emerging memories and sensing platforms for in-memory and in-sensor computing chips.
	Small slope switches-TFET/Fe Transistors/Dirac-Source FET/NEMS/etc.	Integrate CMOS back-end compatible ferroelectric and semiconductors for scaled high performance devices
	Alternative materials-2D layers	Develop 2D ferroelectric devices for optoelectronic synapses for all optical computing platform.
	Very low temperature electronics	Design, fabrication and characterization of cryogenic memory devices down to 4K and integrate them in in-memory-computing circuits.
	Amorphous Oxide Semiconductor FETs	Design, fabrication and characterization of scaled memory devices for high integration density and ultralow power operation.
More Moore	Memories/Charge-based, Resistive/Capacitive	CMOS BEoL integration of FeCaps for 1T-1C, 2T-2C or similar FRAM architectures
More than Moore	Flexible electronics	Developing flexible device platform for edge intelligence.
Smart systems& Systems design	Associative learning systems using sensor fusion and memristive technology	Develop systems that has situational awareness, learns and can take decisions based on previous learning. Current projects focus on autonomous vehicles where data from Camera, Radar and Lidar are used to make a learning system.

The SiNANO Institute is a non-profit Association established as a durable EU Network of researchers in order to form a distributed Centre of Excellence in the nanoelectronic field. More than 1200 scientific and technical staff are working together in the SINANO Institute. SiNANO is the most important flexible Research Infrastructure in Europe for long term Nanoelectronic research.

The SiNANO Institute office is located in Minatec, one of the most innovative centre in Micro and Nanotechnologies in Europe.

SiNANO Institute

Minatec – CROMA
3 Parvis Louis Néel
CS 50257
38016 Grenoble Cedex 1
France
+33 456 52 95 09
sinano@minatec.grenoble-inp.fr

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