A. P. James

Dr. A.P. James

Dean (Academic), Professor

Biography: Professor Alex James received the Ph.D. degree from the Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, Australia. He works as a Professor of AI hardware at School of Electronic Systems and Automation, and Dean (Academic) at Digital University Kerala. He works in the broad area of brain-inspired systems, memristive systems, intelligent semiconductor devices, analog circuits and imaging systems. He is Prof-in-charge of Maker Village that supports over 80+ hardware startups. He is Chief Investigator of the centre for Intelligent IoT Sensors, and India Innovation Centre for Graphene, developing new products to the market. Dr. James was the founding chair for IEEE Kerala Section Circuits and Systems Society. He is a member of IEEE CASS Technical committee on Nonlinear Circuits and Systems, IEEE CASS Technical committee on Cellular Nanoscale Networks and Memristor Array Computing, IEEE Consumer Technology Society Technical Committee on Quantum in Consumer Technology (QCT),  Technical Committee on Machine learning, Deep learning and AI in CE (MDA) and Member of BCS’ Fellows Technical Advisory Group (F-TAG). He was an editorial member of Information Fusion, Elsevier, and is an Associate Editor for Frontiers in Neuroscience (Section: Neuromorphic Systems), IEEE ACCESS, IEEE Transactions on Emerging Topics in Computational Intelligence (2017-18) (Guest associate editor), and IEEE Transactions on Circuits and Systems 1 (2018-present). He is a Senior Member of IEEE, Life Member of ACM, Senior Fellow of HEA, Fellow of British Computer Society (FBCS), and Fellow of IET (FIET).

Research group: https://duk.ac.in/electronics/

https://orcid.org/0000-0001-5655-1213

Recent fellowship and recognitions

  • Fellow of British Computer Society (FBCS)
  • Fellow of IET (FIET)
  • Senior Fellow of HEA, UK
  • Best Associate Editor Award of IEEE TCAS1 for 2020-21
  • Listed among world top 2% of scientists in electrical and electronics
  • Australian Research Council Fellowship
  • Chief investigator establishing the Centre for Excellence on IIOT Sensors
  • Chief investigator establishing the India Innovation Centre for Graphene
  • Member of BCS’ Fellows Technical Advisory Group (F-TAG)
  • Member of IEEE CASS Technical Committee on Nonlinear Circuits and Systems
  • Associate Editor of IEEE Transactions on Circuits and Systems 1: regular papers
  • Associate Editor of Frontiers in Neuroscience

Research Areas

  • Analog Circuits, Mixed-signal Circuits, Signal Integrity
  • Neuromorphic VLSI, Neuro-memristive Systems
  • Cognitive Hardware Architectures, Brain inspired circuits
  • Quantum Image and Neural Systems
  • Image processing and recognition
  • Neural based NLP, Face and Speech recognition

Publications

Recent papers

  • A. P. James and L. O. Chua, “Variability-Aware Memristive Crossbars—A Tutorial,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 6, pp. 2570-2574, June 2022, doi: 10.1109/TCSII.2022.3169416.
  • R Chitra, Aswani AR, Alex James, “Memristive CNN for Wafer Defect Detection”, IEEE International Symposium on Circuits and Systems (ISCAS), 2022
  • Aswani AR, R Chitra, Alex James, “Unstructured Weight Pruning in Variability-Aware Memristive Crossbar Neural Networks“, IEEE International Symposium on Circuits and Systems (ISCAS), 2022
  • Vazim I, Alex James, Joseph Paul, “Interleaved Hybrid Domain Learning for Super-Resolution MRI“, IEEE International Symposium on Circuits and Systems (ISCAS), 2022
  • O. Krestinskaya, K. Salama, A.P. James, “Analog Image Denoising with an Adaptive Memristive Crossbar Network“, IEEE International Symposium on Circuits and Systems (ISCAS), 2022
  • Aswani AR, Rohan Kumar, Jai Tripathi, Alex James, “Performance of Crossbar Based Long Short Term Memory with Aging Memristors”, IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021
  • Rohan Kumar, Aksh Chordia, Alex James, Jai Tripathi, “Uncertainty Quantification of Memristor Crossbar Array for Vector Matrix Multiplication”, 25th IEEE Workshop on Signal and Power Integrity, 2021
  • Adhin V, Arunjo Maliekkal, Sanjay K, Chitra R, A.P. James, Acoustic Side-Channel Attack for Device Identification Using Deep Learning Models,  IEEE International Midwest Symposium on Circuits & Systems, 2021
  • Generate While Sensing – Intelligent Imaging with MemristivePixel-CNN,  IEEE Nano, 2021
  • A. James, “The Why, What and How of Artificial General Intelligence Chip Development,” in IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2021.3069871.
  • A. James, L. Chua, “Analog Neural Computing with Super-resolution Memristor Crossbars,” in IEEE Transactions on Circuits and Systems 1: regular papers, 2021 (Special Issue for 50th Birthday of Memristor) doi: 10.1109/TCSI.2021.3079980
  • A. Ajayan, AP. James, Edge to Quantum: Hybrid Quantum-Spiking Neural Network Image Classifier, Neuromorphic Computing and Engineering, 2021 (Accepted) don: 10.1088/2634-4386/ac1cec
  • A. Kazybek, K. Smagulova, A.P. James, Generalised Analog LSTMs recurrent modules for neural computing, Frontiers in Computational Neuroscience (special issue of Neuromorphic Memristive Computation: Where Memristor-Based Designs Meet Artificial Intelligence Applications), 2021, (Accepted)
  • R Chitra, AR Aswini, AP James, TMS-Crossbars with Tactile Sensing, IEEE Transactions on Circuits and Systems II: Express Briefs,  2021, (Accepted)

Journals (Selected)

  • (2022) A. P. James and L. O. Chua, “Variability-Aware Memristive Crossbars—A Tutorial,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 6, pp. 2570-2574, June 2022, doi: 10.1109/TCSII.2022.3169416.
  • (2022) A. James, Y. Toleubay, O. Krestinskaya and C. Reghuvaran, “Inference Dropouts in Binary Weighted Analog Memristive Crossbar,” in IEEE Transactions on Nanotechnology, vol. 21, pp. 271-277, 2022, doi: 10.1109/TNANO.2022.3182244.
  • (2022) N. Raj, R. K. Ranjan and A. James, “Chua’s Oscillator With OTA Based Memcapacitor Emulator,” in IEEE Transactions on Nanotechnology, vol. 21, pp. 213-218, 2022, doi: 10.1109/TNANO.2022.3168154.
  • (2021) TMS-Crossbars with Tactile Sensing, IEEE Transactions on Circuits and Systems II: Express Briefs,  2021, (Accepted)
  • (2021) Edge to Quantum: Hybrid Quantum-Spiking Neural Network Image Classifier, Neuromorphic Computing and Engineering, 2021 (Accepted)
  • (2021) Generalised Analog LSTMs recurrent modules for neural computing, Frontiers in Computational Neuroscience (special issue of Neuromorphic Memristive Computation: Where Memristor-Based Designs Meet Artificial Intelligence Applications), 2021, (Accepted)
  • (2021), “Analog Neural Computing with Super-resolution Memristor Crossbars,” in IEEE Transactions on Circuits and Systems 1: Regular Papers, 2021, accepted.
  • (2021). The Why, What, and How of Artificial General Intelligence Chip DevelopmentIEEE Transactions on Cognitive and Developmental Systems, 2021, accepted. – Single author paper
  • (2021). Analog self-timed programming circuits for aging memristors. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, accepted.
  • (2020/21). Recursive threshold logic – a bioinspired reconfigurable dynamic logic system with crossbar arrays. IEEE Transactions on Biomedical Circuits and Systems, accepted.
  • (2020). Memristive gan in analog. Nature-Scientific Reports, 10(1), 1–14.
  • (2020). Analog neuro-memristive convolutional dropout nets. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
  • (2020). Neuromemristive circuits for edge computing: A review. IEEE transactions on neural networks and learning systems, 31(1), 4–23.
  • (2020). Automating analogue AI chip design with genetic search. Advanced Intelligent Systems, 2000075, (SELECTED AS COVER PAGE).
  • (2020). In-yolo: Real-time detection of outdoor high voltage insulators using uav imaging. IEEE Transactions on Power Delivery, 35(3), 1599–1601.
  • (2020). Who is the winner? memristive-cmos hybrid modules: Cnn-lstm versus htm. IEEE Transactions on Biomedical Circuits and Systems, 14(2), 164–172.
  • (2020). A theoretical analysis of the peaking phenomenon in classification. Journal of Classification, 1–14.
  • (2019). Temporal g-neighbor filtering for analog domain noise reduction in astronomical videos. IEEE Transactions on Circuits and Systems II: Express Briefs, 66(5), 868–872
  • (2019). A hybrid memristor–cmos chip for ai. Nature Electronics, 2(7), 268–269- Single author paper
  • (2019). An overview of memristive cryptography. The European Physical Journal Special Topics, 228(10), 2301–2312, (Invited) – Single author paper
  • (2019). High voltage outdoor insulator surface condition evaluation using aerial insulator images. High Voltage, 4(3), 178–185
  • (2018). Bit-plane extracted moving-object detection using memristive crossbar-cam arrays for edge computing image devices. IEEE Access, 6, 18954–18966
  • (2018). Discrete-level memristive circuits for htm-based spatiotemporal data classification system. IET Cyber-Physical Systems: Theory & Applications, 3(1), 34–43.
  • (2018). Guest editorial: Special issue on large-scale memristive systems and neurochips for computational intelligence. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(5), 320–323.
  • (2018). Hierarchical temporal memory using memristor networks: A survey. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(5), 380–395.
  • (2018). Learning in memristive neural network architectures using analog backpropagation circuits. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(2), 719–732.
  • (2018). Wireless charging techniques for uavs: A review, reconceptualization, and extension. IEEE Access, 6, 29865–29884.
  • (2018). Diffusion sensitivity enhancement filter for raw dwis. IET Computer Vision, 12(7), 950–956
  • (2018). Engineering the global university rankings: Gold standards, limitations and implications. IEEE Access, 6, 6765–6776
  • (2017). Htm spatial pooler with memristor crossbar circuits for sparse biometric recognition. IEEE Transactions on Biomedical Circuits and Systems, 11(3), 640–651
  • (2017). Hierarchical temporal memory features with memristor logic circuits for pattern recognition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(6), 1143–1156
  • (2017). Edge-aware spatial denoising filtering based on a psychological model of stimulus similarity. IEEE Access, 6, 3433–3447
  • (2016). An efficient method to estimate the optimum regularization parameter in rlda. Bioinformatics, 32(22), 3461–3468
  • (2016). A survey of memristive threshold logic circuits. IEEE transactions on neural networks and learning systems, 28(8), 1734–1746
  • (2015). Detection and analysis of emotion from speech signals. Procedia Computer Science, 58, 91–96
  • (2015). Heart rate monitoring using human speech spectral features. Human-centric Computing and Information Sciences, 5(1), 33
  • (2015). Threshold logic computing: Memristive-cmos circuits for fast fourier transform and vedic multiplication. IEEE transactions on very large scale integration (VLSI) systems, 23(11), 2690–2694
  • (2015). Memristor pattern recogniser: Isolated speech word recognition. Electronics Letters, 51(17), 1370–1372
  • (2015). Spatial stimuli gradient sketch model. IEEE Signal Processing Letters, 22(9), 1336–1339
  • (2015). Sparse distributed localized gradient fused features of objects. Pattern Recognition, 48(4), 1538–1546
  • (2014). Memristive operational amplifiers. Procedia Computer Science, 41, 114–119
  • (2014). Resistive threshold logic. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 22(1), 190–195
  • (2014). Medical image fusion: A survey of the state of the art. Information fusion, 19, 4–19
  • (2014). Guest editorial: Special issue on medical image computing and systems. Information Fusion, 19, 2–3
  • (2014). Memristive threshold logic circuit design of fast moving object detection. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 23(10), 2337–2341
  • (2012). Nearest neighbor classifier based on nearest feature decisions. The Computer Journal, 55(9), 1072–1087, Oxford Press.
  • (2012). Ranked selection of nearest discriminating features. Human-Centric Computing and Information Sciences, 2(1), 12
  • (2011). Improving feature selection algorithms using normalised feature histograms. Electronics letters, 47(8), 490–491
  • (2010). Cognitive memory network. Electronics Letters, 46(10), 677–678
  • (2010). Inter-image outliers and their application to image classification. Pattern recognition, 43(12), 4101–4112
  • (2008). Face recognition using local binary decisions. IEEE Signal Processing Letters, 15, 821–824

Recent Collaborators

  • Leon Chua (University of California Berkeley)
  • Kaushik Roy (Purdue University)
  • Khaled Salama (KAUST)
  • Belur Dasarathy (Information Fusion Consultant)
  • Bhaskar Choubay (Siegen University/Oxford University)

Text box item sample content