Dr. S.C.G. Kiruba Daniel is a SERB – National Post Doctoral Fellow of NeuRonICS Lab. He has completed his Ph.D in Nanotechnology from Anna University in the year 2015 and completed his Post-Doc from Instrumentation and Applied Physics Department, IISc in the year 2016.  He has been trained by Academia Industry Training (AIT) Camp in EPFL, Switzerland sponsored by Switzerland and Indian Government. He got Gandhian Young technology Innovator Award with his team for his work on melamine sensing from milk in 2017. He led his start-up JK Nanosolutions to win National Level Dev Tech award (2016) from DFID, UK and DST India, Elevate 100 Award (2017) with a grant of 25 Lakhs INR, Tata Social Enterprise Challenge Award (2018) and Titan Design Impact Award (2018) with a grant of 65 lakhs.. He has around 20 publications and 8 patents contributing to 1052 citations (Google Scholar) and h-index of 16. His research interests are in the development of low power and low cost nanotechnology based sensing devices.

LinkedIn: https://www.linkedin.com/in/dr-s-c-g-kiruba-daniel-a50a8940/

Abhishek Nair is a Post Doctoral Researcher at NeuRonICS Lab. He received his Ph.D. in Machine Learning Hardware Accelerators at NeuRonICS Lab, DESE, IISc. He received his M.S. in Embedded Systems from Manipal University and B.E. in Electronics from Mumbai University. He has work experience of about 6 years in the semiconductor industry in hardware architecture design and validation at companies like Intel and Qualcomm. His research interests include the implementation of novel low power machine learning algorithms and neural networks on resource-constrained devices including digital hardware and embedded systems.

Niranjan Raj is a Senior Project Associate/ Post-Doctoral Researcher in the NeuRonICS lab at IISc. He received his Ph.D. in Microelectronics and VLSI from the Indian Institute of Technology (ISM) Dhanbad. He did his M.Tech in VLSI design from the National Institute of Technology Meghalaya. His research interests include low-power analog integrated circuit design, memristor emulator circuits, machine learning, acoustic pattern recognizers, and open-source EDA tool flow. He has around 15 publications and has also served as a reviewer in various reputed journals.

Prince Philip is PhD student in the Neuronics Lab. Prior to joining Neuronics Lab, he worked in the areas of analog/ digital integrated circuits in academia and industry. He taught UG level courses such as microelectronic circuits, analog and mixed signal IC design, control engineering and electrical circuits. In industry, he designed and developed OFDM based Transceiver Chip and several other circuits for wireless and biomedical applications. In addition, he worked as a consultant for a US based semiconductor company. He graduated in Electronics and Communication Engineering from Visvesvaraya Technological University. His interests are in neuromorphic engineering, theoretical neuroscience, analog IC design and signal processing

Pratik Kumar is a Ph.D. candidate in the NeuRonICS lab at IISc. He received his M.Tech from the Indian Institute of Technology, Dhanbad, specializing in Microelectronics and VLSI. His area of interest includes hardware-software Co-Design of high-performance mixed-mode computational architectures for Artificial Intelligence (AI) and Machine Learning (ML) tasks. His research includes the design of sub-threshold and deep sub-threshold (fA) computational architectures for energy-efficient and high-throughput computing. The research also focusses on the design of hybrid architectures utilizing novel multi-state memory elements. He has an industry experience of 2 Years in TCS Research.

Portfolio:  https://sites.google.com/view/pratikkumar

Ankita Nandi is a Ph.D. student in the NeuRonICS lab at IISc. She has completed her B.Tech. in Electronics and Communication Engineering from the National Institute of Technology Meghalaya in 2018. She was awarded the prestigious President’s Gold Medal and the Institute Gold Medal for her performance in B.Tech. in 2018.  She continued to pursue her education from the Indian Institute of Technology Gandhinagar and received her M.Tech. degree in 2020. At IIT Gandhinagar, she was attached with the nanoDC lab, where she explored approximate computing for the design of low energy compute circuits for image processing applications. She is familiar with MATLAB, Verilog, and C languages.  Her research enthusiasm lies in the design and implementation of low power circuits using analog, digital, or mixed-mode approaches for neuromorphic systems. Further, she takes a keen interest in low power circuit design techniques for in-memory computing, signal processing, and error correction codes. Her profile can be found on https://www.linkedin.com/in/ankita-nandi-603029191/.

Madhuvanthi Srivatsav R is a Ph.D. student in the NeuRonICS lab at IISc. She has completed her Btech (Hons) and Mtech in VLSI and Electronics Systems Design from the Indian Institute of Information Technology, Design, and Manufacturing, Kancheepuram. She is a GATE rank holder and was awarded the Institute Gold Medal for the All-Rounder of the Graduating Batch at IIITDM, in 2021. At IIITDM, her research work was in the field of Neuromorphic Engineering, and Low-Power VLSI design. In addition, she has worked for a year at SiFive, Bangalore in the domain of Physical Design. Her research interests include Machine Learning, Neuromorphic computing, Analog, and Digital IC design, and hardware implementation of AI.

LinkedIn Profile: https://www.linkedin.com/in/madhuvanthi-srivatsav-r-906300155/

Pradeep Kumar Gautam has completed his B. Tech in Electronics and Communication engineering from NIT Jaipur. He is working as a Scientist with DRDO. He was part of DRDO’s Processor design center (ANURAG) and is currently working at the Centre for Artificial Intelligence (CAIR). He has worked on Processor design and development involving design of multi-core network processors. His expertise is processor customization and architecture development for embedded applications. Currently he is working on development of hardware implementation of Machine Learning algorithms for fast and energy efficient inference. His research interests are hardware assisted application accelerators, processor architecture and machine learning algorithm inference on FPGAs.

I am Surojit Naskar, pursuing M.Tech in Microelectronics and VLSI at IISc Bangalore. I have completed my B.E. in Electronics and Telecommunication Engineering at Jadavpur University in 2021. I am also a JBNSTS Senior Scholar. I am interested in Digital Electronics and currently working on high-performance Digital SoC for handheld ultrasound system under Prof. Chetan Singh Thakur.

I am Sanket Raghunath Tekawade, pursuing MTech in the Department of Electronic Systems Engineering, IISc Bengaluru. Graduated from GEC Aurangabad in 2021 from the Department of Electrical Engineering. Interested in Digital VLSI design and hardware implementation of Brain-Inspired algorithms.

Vignesh Ramanathan is a research assistant working on the topics of predictive modelling. He has completed his BE in electronics and communication engineering from Sir MVIT in 2015. Post bachelors he worked in the powertrain division of Robert Bosch for 3 years. He has work experience in developing embedded systems, automation systems, computer vision applications, natural language processing, big data analytics, time series analysis. He is also a ISTQB certified test engineer.

Adithya MD is an alumnus of N.M.A.M. Institute of Technology, graduating with a degree in Electronics and Communication Engineering. He has worked as a design engineer in IXE Tronics, developing solutions that bring consistency, dependability, and sustainability to post-harvest crop management. His core competencies are in hardware prototyping and embedded firmware development. Currently, he is working under Dr.
Chetan Singh Thakur, developing systems that enable the deployment of machine learning algorithms on constrained hardware.