Recent Chip Tapeouts

Biography: Alex James is a Full-professor of AI hardware at Digital University Kerala; and CTO of India Graphene and Engineering Innovation Centre (a section 8 company). He will be taking over as Controller of Examinations from Jan 2026 at Digital University Kerala, and also the IEEE CASS Board of Governors from 2026-28. He severed in multiple administrative roles including Dean Academics, Dean External Linkages and Projects, Associate Dean Academics, Associate Dean Research, Department Chair etc. His research scientific contributions are in the applied research and innovations in analog memristive computing, including practical realisations to protoypes and products. He is also a technology leader supporting the development of electronics and hardware ecosystem, help influence the growth of multiple startups, including creating multiple policies to shape investments and governance of intellectual property development through semicon program, graphene ecosystem, handware startups etc.

James received his PhD from Queensland Micro and Nanotechnology Centre, Griffith University, Australia in a short 2 year duration. He heads the Maker Village, one of the largest electronic hardware incubators in India with over 80 electronics startups. He heads the Centre for excellence in Intelligent IoT Sensors, and India Innovation Centre for Graphene. He is the founding director board member of India’s first Digital Science Park. He has spun out multiple startup companies from his research group; published more than 200 papers. For the last two decades, he worked in the areas of board design, signal integrity and mixed signal design in Industry and in the area of AI hardware and systems in academia. He has taught more than 60 courses, in the areas of chip design and AI. He was an associate editor for IEEE TCAS1 (2018-2023), and IEEE OJCAS (2023).  He got the IEEE Kerala Section Best Researcher Award (2022), IEEE CASS Best Associate Editor for IEEE TCAS1 (2020-2021), Kerala State Higher Education Council Award 2022 - Kairali Gaveshana Puraskaram from the Kerala government, and 2024 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award.  First chair of IEEE CASS Kerala, which won the 2023 IEEE Circuits and Systems Regional Chapter-of-the-Year Award: Region 10 and 2024 IEEE Circuits and Systems Global Chapter-of-the-Year Award.  He is a member of SIG AgriFood and IEEE CASS Technical Committees on Neural Systems and Applications (NSA TC), Nonlinear Circuits and Systems Technical Committee (NCAS TC), Cellular Nanoscale Networks, and Memristor Array Computing (CNNMAC TC). He is Associate Editor in Chief of IEEE Open Journal of Circuits and Systems (2024-2025) and Associate Editor of IEEE Access, Frontiers in Neuroscience, IEEE Transactions on Biomedical Circuits and Systems and IEEE Transactions on Circuits and Systems for Artificial Intelligence. He is an IET, BCS, and HEA Senior Fellow.

Research group: www.aicas.info

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

IEEE Engagement (last 10 years)

• IEEE Circuits and Systems Board of Governors (2026-28)

• Founding chair for IEEE Kerala Section Circuits and Systems Society which was selected to be awarded the 2023 IEEE Circuits and Systems Regional Chapter-of-the-Year Award: Region 10, and in 2024 Best Chapter-of-the-Year Award

• IEEE CAS Best Associate Editor for IEEE TCAS1 (2020-2021); 

• IEEE Kerala Section, Best researcher award 2022

• Associate Editor for IEEE ACCESS, IEEE Transactions on Emerging Topics in Computational Intelligence (2017-18) (Guest associate editor),  IEEE Transactions on Circuits and Systems 1 (2018-2023) and IEEE Open Journal of Circuits and Systems (2022-present).

• Associate Editor in Chief for IEEE Open Journal of Circuits and Systems (2024-2026).

• IEEE CASS international outreach funding (2012, 2014, 2015, 2017)

• Organised IEEE Seasonal schools in 2017, 2021, 2022; Organising 6 outreach workshops in 2023

• 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)

• Technical committee member/reviewer in ICECS 2019-2023, AICAS 2019-2023, MWCAS 2019-2023, ISCAS 2019-2023; ISCAS 2024, ISICAS 2024. overall been a reviewer or session chairs or as program committee in more than 100 conference events in the career.

• Technical Program Chair – IEEE APCCAS 2023, IEEE ISICAS 2025

• Track chair – IEEE MWSCAS 2023, IEEE ISCAS 2026

• IEEE ISICAS 2024, Plenary talk chair

• IEEE ISCAS 2024, International Advisory Member

• Chair of Nomcom Member, IEEE CASS Kerala Chapter 2022, 2023, 2024, 2025

• Nomcom Member, IEEE CASS 2024

• Chair of IEEE CASS Charles A. Desoer Technical Achievement Award Committee 2024, 2205

Recent fellowship and other recognitions

• Fellow of British Computer Society (FBCS)

• Fellow of IET (FIET)

• Fellow of RSA

• Senior Fellow of HEA, UK

• 2024 IEEE Guillemin-Cauer Best Paper Award

• Best Associate Editor Award of IEEE TCAS1 for 2020-21

• Best Associate Editor Award of IEEE TBCAS for 2024-25

• Kairali Research Award 2021, Government of Kerala

• Australian Research Council Fellowship

• Chief investigator establishing the Centre for Excellence on IIOT Sensors (Rs 42 crores ~USD 5 million)

• Chief investigator establishing the India Innovation Centre for Graphene (Rs 86 crores ~USD 10 million)

• Chief investigator, Graphene Aurora Program (Rs 95 crores ~USD 11 million)

• Chief Investigator, AI Chip Centre (Rs 86 lakhs)

• Advisory Board Member, Digital Science Park

• Member of BCS’ Fellows Technical Advisory Group (F-TAG)

• Associate Editor of Frontiers in Neuroscience

• Associate Editor in Chief of IEEE Open Journal of Circuits and Systems

• Associate Editor of  IEEE Transactions on Circuits and Systems for Artificial Intelligence

• Associate Editor of  IEEE Transactions on Biomedical Circuits and Systems 

AI Chip initiatives (White Paper link)

• Kairali open sources chip - from digital university kerala, developed with students. The project mainly uses open sources VLSI tools to build a simple MAC processing unit, that can be used for multiple neural networks. A digital and analog version of the MAC processing unit along with RSICV capabilities are implemented. This supported as part of the efabless program. The work is carried out at digital university kerala.

• As part of the Kairali Award, a project on development of analog AI processor is underway. This project largely inspires from biological neural networks such as spiking neural nets. This is supported as part of the Govt of Kerala research award. The work is carried out at digital university kerala.

• As part of the Chip to Start-up program, the a scalable AI processor development is underway. In this NOC architecture with multiple co-processor capability is build. This is supported as part of the MEITY C2S program. The work is carried out at digital university kerala.

Research Areas and Applications

Polymath with expertise in:

• 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

• Drones, IoT Sensors, Robotics

• Graphene and 2D material Applications

• Education, Arts and Philosophy

Publications

Journals & Review Articles 

[1] A. Gopi, P. Sruthi, and A. James, “Predicting antenna radiation patterns and types from voxelated measurements using neuro-memristive 3D crossbars,” IEEE Journal of Microwaves, 2025.

[2] R. K. Govind, A. Sunil, A. Sureshkumar, H. Rejani, S. S. Yamuna, and A. James, “Graphene nanocomposite based flexible and conducting electrodes for touchpanel and heater applications with machine learning assisted smart performance,” IEEE Journal on Flexible Electronics, 2025.

[3] A. James, “Reliable analog in-memory computing with crossbar: Memristors for analog neural computing,” Foundations and Trends in Integrated Circuits and Systems, vol. 4, no. 1, pp. 1–114, 2025.

[4] A. James, R. Chitra, and L. Chua, “Processing in-memory PUF watermark embedding with cellular memristor network,” IEEE Transactions on Emerging Topics in Computing, 2025.

[5] D. Moin Diwan, Z. Shengchao Zhang, L. Zidu Li, J. Alex James, and C. Bhaskar Choubey, “Non-volatile ReRAM based compact event-triggered counters,” IEEE Journal of Exploratory Solid-State Computational Devices and Circuits, 2025.

[6] P. Shilpa, V. N. Vineeta, A. S., E. George, and A. James, “Position monitoring of human hands using cross-slot antennas and AI integration for hand swing activity analysis,” IEEE Journal of Selected Areas in Sensors, 2025.

[7] P. Sruthi and A. James, “Rate coding with 3D memristor crossbar,” IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2025.

[8] V. Alimisis, C. Aletraris, N. P. Eleftheriou, E. A. Serlis, P. P. Sotiriadis, and A. James, “Low-power analog integrated architecture of the voting classification algorithm for diabetes disease prediction,” IEEE Transactions on Biomedical Circuits and Systems, 2024.

[9] R. R. Das and A. James, “Multi-channel step FinFET with spacer engineering,” IEEE Access, 2024.

[10] R. R. Das, T. Rajalekshmi, S. Pallathuvalappil, and A. James, “FETs for analog neural MACs,” IEEE Access, 2024.

[11] R. Das, T. Rajalekshmi, and A. James, “FinFET to GAA MBCFET: A review and insights,” IEEE Access, 2024.

[12] V. P. Dinesh, A. Radhakrishnan, and A. James, “Analog spike-based multi-head attention with memristor crossbar arrays for text classification,” IEEE Transactions on Artificial Intelligence in Circuits and Systems, 2024.

[13] E. George, S. Pillai, and A. James, “CASS expands its horizon in Kerala,” IEEE Circuits and Systems Magazine, 2024.

[14] A. Gopi, E. George, and A. James, “Descriptor: Pixel sampling to generate database of radiation pattern images of antenna (PSGDRPIA),” IEEE Data Descriptions, 2024.

[15] R. K. Govind, V. P. Dinesh, G. Balagopal, R. N. Dhanesh, and A. James, “Graphene based phase change thermal interface nanocomposite and heat sink for thermal management,” IEEE Journal on Flexible Electronics, 2024.

[16] A. James, “Energy efficiency and design challenges in analogue memristive chips,” Nature Reviews Electrical Engineering, 2024.

[17] A. James, “Maker chips: Open-source chips movement for democratization of chip design,” IEEE Circuits and Systems Magazine, 2024.

[18] V. Nair, E. George, and A. James, “Real-time tumor detection using electromagnetic signals with memristive echo state networks,” IEEE Internet of Things Journal, 2024.

[19] S. Pallathuvalappil, R. Kottappuzhackal, and A. James, “Explainable model prediction of memristor,” IEEE Open Journal of the Industrial Electronics Society, 2024.

[20] S. Pavithran, S. Pallathuvalappil, E. George, J. G. S., and A. James, “EM wave-based hand gesture recognition for astronauts using 3D memristive neural network,” IEEE Journal of Microwaves, 2024.

[21] A. Radhakrishnan, A. Gopi, C. Reghuvaran, and A. James, “Variability-aware memristive crossbars with ImageSplit neural architecture,” IEEE Transactions on Nanotechnology, 2024.

[22] A. Radhakrishnan, J. Palliyalil, S. Babu, A. Dorzhigulov, and A. James, “Pymem: A graphical user interface tool for neuro-memristive hardware-software co-design,” IEEE Open Journal of the Industrial Electronics Society, 2024.

[23] P. Sruthi and A. James, “Rate coding with 3D memristor crossbar,” IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2024.

[24] S. K. Vohra, M. Sakare, A. James, and D. M. Das, “SPIMAM: CMOS implementation of bio-inspired spiking multidirectional associative memory featuring in-situ learning,” IEEE Transactions on Circuits and Systems I: Regular Papers, 2024.

[25] R. R. Das, C. Reghuvaran, A. James, et al., “Graphene-based RRAM devices for neural computing,” Frontiers in Neuroscience, vol. 17, 1253075, 2023.

[26] V. S. Mallan, A. Gopi, A. Radhakrishnan, C. Raghuvaran, and A. James, “Rapid prototyping mixed-signal development kit for tactile neural computing,” Frontiers in Neuroscience, vol. 17, p. 113, 2023.

[27] V. V. Nair, C. Reghuvaran, D. John, B. Choubey, and A. James, “ESSM: Extended synaptic sampling machine with stochastic echo state neuro-memristive circuits,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023.

[28] V. Nair, A. Radhakrishnan, C. Reghuvaran, and A. James, “Memristive Pixel-CNN loop generate for CNN generalisations,” IEEE Transactions on Nanotechnology, 2023.

[29] A. Radhakrishnan, D. Mahapatra, and A. James, “Consumer document analytical accelerator hardware,” IEEE Access, vol. 11, pp. 5161–5167, 2023.

[30] G. Sivapalan, K. K. Nundy, B. Cardiff, A. James, and D. John, “Interpretable rule mining for real-time ECG anomaly detection in IoT edge sensors,” IEEE Internet of Things Journal, 2023.

[31] R. Sotelo, J. Wang, Y. Nakamura, A. Farouk, R. Arjona, S. V. Andraca, A. James, A. Venegas-Gomez, and B. Gonzalez, “The first workshop on quantum in consumer technology at IEEE Quantum Week 2022,” IEEE Consumer Electronics Magazine, vol. 12, no. 5, pp. 10–11, 2023.

[32] R. T. R., R. R. Das, C. Reguvaran, and A. James, “Graphene-based RRAM devices for neural computing,” Frontiers in Neuroscience – Neuromorphic Engineering, 2023.

[33] R. Chithra, A. Aswani, and A. James, “TMS-crossbars with tactile sensing,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2022.

[34] A. James and L. Chua, “Variability-aware memristive crossbars – a tutorial,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2022.

[35] A. James, Y. Toleubay, O. Krestinskaya, and C. Reghuvaran, “Inference dropouts in binary weighted analog memristive crossbar,” IEEE Transactions on Nanotechnology, 2022.

[36] A. Radhakrishnan, S. Pallathuvalappil, B. Choubey, and A. James, “Bridge memristor super-resolution crossbars,” IEEE Journal of Emerging Topics in Circuits and Systems, 2022.

[37] N. Raj, R. Ranjan, and A. James, “Chua’s oscillator with OTA-based memcapacitor emulator,” IEEE Transactions on Nanotechnology, 2022.

[38] K. Adam, K. Smagulova, and A. James, “Generalised analog LSTMs recurrent modules for neural computing,” Frontiers in Computational Neuroscience, vol. 15, 705050, 2021.

[39] A. Ajayan and A. P. James, “Edge to quantum: Hybrid quantum-spiking neural network image classifier,” Neuromorphic Computing and Engineering, vol. 1, no. 2, 024001, 2021.

[40] A. James, “The why, what, and how of artificial general intelligence chip development,” IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 2, pp. 333–347, 2021.

[41] A. James and L. Chua, “Analog neural computing with super-resolution memristor crossbars,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 11, pp. 4470–4481, 2021.

[42] A. Irmanova, A. Maan, A. James, and L. Chua, “Analog self-timed programming circuits for aging memristors,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 4, pp. 1133–1137, 2021.

[43] A. James, “Introductory chapter: Challenges,” in Memristors: Circuits and Applications of Memristor Devices, pp. 3–?, 2020.

[44] A. James, O. Krestinskaya, and A. Maan, “Recursive threshold logic—a bioinspired reconfigurable dynamic logic system with crossbar arrays,” IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 6, pp. 1311–1322, 2020.

[45] O. Krestinskaya, B. Choubey, and A. James, “Memristive GAN in analog,” Scientific Reports, vol. 10, no. 1, 5838, 2020.

[46] O. Krestinskaya and A. P. James, “Analogue neuro-memristive convolutional dropout nets,” Proceedings of the Royal Society A, vol. 476, no. 2242, 20200210, 2020.

[47] O. Krestinskaya, K. N. Salama, and A. James, “Automating analogue AI chip design with genetic search,” Advanced Intelligent Systems, vol. 2, no. 8, 2000075, 2020.

[48] A. Zollanvari, A. James, and R. Sameni, “A theoretical analysis of the peaking phenomenon in classification,” Journal of Classification, vol. 37, no. 2, pp. 421–434, 2020.

[49] K. Aliakhmet and A. James, “Temporal g-neighbor filtering for analog domain noise reduction in astronomical videos,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 5, pp. 868–872, 2019.

[50] A. James, “An overview of memristive cryptography,” The European Physical Journal Special Topics, vol. 228, no. 10, pp. 2301–2312, 2019.

[51] A. P. James, “A hybrid memristor–CMOS chip for AI,” Nature Electronics, vol. 2, no. 7, pp. 268–269, 2019.

[52] O. Krestinskaya, A. James, and L. O. Chua, “Neuromemristive circuits for edge computing: A review,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 1, pp. 4–23, 2019.

[53] D. Pernebayeva, A. Irmanova, D. Sadykova, M. Bagheri, and A. James, “High voltage outdoor insulator surface condition evaluation using aerial insulator images,” High Voltage, vol. 4, no. 3, pp. 178–185, 2019.

[54] D. Sadykova, D. Pernebayeva, M. Bagheri, and A. James, “IN-YOLO: Real-time detection of outdoor high voltage insulators using UAV imaging,” IEEE Transactions on Power Delivery, vol. 35, no. 3, pp. 1599–1601, 2019.

[55] K. Smagulova and A. P. James, “A survey on LSTM memristive neural network architectures and applications,” The European Physical Journal Special Topics, vol. 228, no. 10, pp. 2313–2324, 2019.

[56] K. Smagulova, O. Krestinskaya, and A. James, “Who is the winner? Memristive–CMOS hybrid modules: CNN–LSTM versus HTM,” IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 2, pp. 164–172, 2020 (online 2019).

[57] K. Aliakhmet, D. Sadykova, J. Mathew, and A. P. James, “Memristive system design for variable pixel g-neighbor denoising filter,” Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1653–1667, 2018.

[58] B. Choubey, K. Hayatleh, and A. P. James, “Oxford Circuits and Systems Conference,” Analog Integrated Circuits and Signal Processing, vol. 95, no. 3, pp. 373–374, 2018.

[59] N. Dastanova, S. Duisenbay, O. Krestinskaya, and A. James, “Bit-plane extracted moving-object detection using memristive crossbar-CAM arrays for edge computing image devices,” IEEE Access, vol. 6, pp. 18954–18966, 2018.

[60] A. Dorzhigulov, B. Bissengaliuly, B. F. Spencer Jr., J. Kim, and A. James, “ANFIS based quadrotor drone altitude control implementation on Raspberry Pi platform,” Analog Integrated Circuits and Signal Processing, vol. 95, no. 3, pp. 435–445, 2018.

[61] T. Ibrayev, U. Myrzakhan, O. Krestinskaya, A. Irmanova, and A. P. James, “On-chip face recognition system design with memristive hierarchical temporal memory,” Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1393–1402, 2018.

[62] A. Irmanova, T. Ibrayev, and A. James, “Discrete-level memristive circuits for HTM-based spatiotemporal data classification system,” IET Cyber-Physical Systems: Theory & Applications, vol. 3, no. 1, pp. 34–43, 2018.

[63] A. Irmanova and A. P. James, “Neuron inspired data encoding memristive multi-level memory cell,” Analog Integrated Circuits and Signal Processing, vol. 95, no. 3, pp. 429–434, 2018.

[64] A. James, T. Ibrayev, O. Krestinskaya, and I. Dolzhikova, “Introduction to memristive HTM circuits,” in Memristor and Memristive Neural Networks, 2018.

[65] A. James, K. N. Salama, H. Li, D. Biolek, G. Indiveri, and L. O. Chua, “Guest editorial: Special issue on large-scale memristive systems and neurochips for computational intelligence,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, no. 5, pp. 320–323, 2018.

[66] O. Krestinskaya, I. Dolzhikova, and A. P. James, “Hierarchical temporal memory using memristor networks: A survey,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, no. 5, pp. 380–395, 2018.

[67] O. Krestinskaya and A. P. James, “Feature extraction without learning in an analog spatial pooler memristive-CMOS circuit design of hierarchical temporal memory,” Analog Integrated Circuits and Signal Processing, vol. 95, no. 3, pp. 457–465, 2018.

[68] O. Krestinskaya, K. N. Salama, and A. James, “Learning in memristive neural network architectures using analog backpropagation circuits,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 2, pp. 719–732, 2019 (or 2018 online).

[69] M. Lu, M. Bagheri, A. P. James, and T. Phung, “Wireless charging techniques for UAVs: A review, reconceptualization, and extension,” IEEE Access, vol. 6, pp. 29865–29884, 2018.

[70] J. J. Mathew, A. James, C. Kesavadas, and J. S. Paul, “Diffusion sensitivity enhancement filter for raw DWIs,” IET Computer Vision, vol. 12, no. 7, pp. 950–956, 2018.

[71] M. Mussard and A. P. James, “Engineering the global university rankings: Gold standards, limitations and implications,” IEEE Access, vol. 6, pp. 6765–6776, 2018.

[72] K. Smagulova, O. Krestinskaya, and A. P. James, “A memristor-based long short term memory circuit,” Analog Integrated Circuits and Signal Processing, vol. 95, no. 3, pp. 467–472, 2018.

[73] A. Tankimanova and A. P. James, “Neural network-based analog-to-digital converters,” in Memristor and Memristive Neural Networks, p. 297, 2018.

[74] A. P. James, I. Fedorova, T. Ibrayev, and D. Kudithipudi, “HTM spatial pooler with memristor crossbar circuits for sparse biometric recognition,” IEEE Transactions on Biomedical Circuits and Systems, vol. 11, no. 3, pp. 640–651, 2017.

[75] O. Krestinskaya, T. Ibrayev, and A. P. James, “Hierarchical temporal memory features with memristor logic circuits for pattern recognition,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 37, no. 6, pp. 1143–1156, 2018 (2017 online).

[76] J. Mathew, A. Zollanvari, and A. James, “Edge-aware spatial denoising filtering based on a psychological model of stimulus similarity,” IEEE Access, vol. 6, pp. 3433–3447, 2018 (2017 online).

[77] M. Milacic, A. P. James, and S. Dimitrijev, “Recognizing isolated words with minimum distance similarity metric padding,” Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 2933–2939, 2017.

[78] M. Mussard and A. P. James, “Boosting the ranking of a university using self-citations,” Current Science, vol. 113, no. 10, 2017.

[79] D. Bakir, A. James, and A. Zollanvari, “An efficient method to estimate the optimum regularization parameter in RLDA,” Bioinformatics, vol. 32, no. 22, pp. 3461–3468, 2016.

[80] A. K. Maan, D. A. Jayadevi, and A. James, “A survey of memristive threshold logic circuits,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 1734–1746, 2017.

[81] R. Bradshaw, A. James, Y. H. Kho, D. Kaskina, S. Mashtayeva, O. Alipbeki, and Z. Maksut, “Integrating high resolution remote sensing technology into an advanced water resources knowledge management system,” Proceedings of the International Association of Hydrological Sciences, vol. 366, pp. 164–165, 2015.

[82] A. Davletcharova, S. Sugathan, B. Abraham, and A. P. James, “Detection and analysis of emotion from speech signals,” Procedia Computer Science, vol. 58, pp. 91–96, 2015.

[83] A. James, “Heart rate monitoring using human speech spectral features,” Human-centric Computing and Information Sciences, vol. 5, no. 1, p. 33, 2015.

[84] A. P. James, D. S. Kumar, and A. Ajayan, “Threshold logic computing: Memristive-CMOS circuits for fast Fourier transform and Vedic multiplication,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 11, pp. 2690–2694, 2015.

[85] A. K. Maan, A. James, and S. Dimitrijev, “Memristor pattern recogniser: Isolated speech word recognition,” Electronics Letters, vol. 51, no. 17, pp. 1370–1372, 2015.

[86] J. J. Mathew and A. James, “Spatial stimuli gradient sketch model,” IEEE Signal Processing Letters, vol. 22, no. 9, pp. 1336–1339, 2015.

[87] S. Sudhakaran and A. P. James, “Sparse distributed localized gradient fused features of objects,” Pattern Recognition, vol. 48, no. 4, pp. 1538–1546, 2015.

[88] T. Ibrayev, I. Fedorova, A. K. Maan, and A. James, “Memristive operational amplifiers,” Procedia Computer Science, vol. 41, pp. 114–119, 2014.

[89] A. P. James, B. Mathews, S. Sugathan, and D. K. Raveendran, “Discriminative histogram taxonomy features for snake species identification,” Human-centric Computing and Information Sciences, vol. 4, no. 1, p. 3, 2014.

[90] A. James and B. V. Dasarathy, “Medical image fusion: A survey of the state of the art,” Information Fusion, vol. 19, pp. 4–19, 2014.

[91] A. James, A. Pachentavida, and S. Sugathan, “Edge detection using resistive threshold logic networks with CMOS flash memories,” International Journal of Intelligent Computing and Cybernetics, vol. 7, no. 1, pp. 79–94, 2014.

[92] A. James, S. Thiruvenkadam, J. S. Paul, and M. Braun, “Guest editorial: Special issue on medical image computing and systems,” Information Fusion, vol. 19, pp. 2–3, 2014.

[93] A. K. Maan, D. S. Kumar, and A. P. James, “Memristive threshold logic face recognition,” Procedia Computer Science, vol. 41, pp. 98–103, 2014.

[94] A. James, “One-sample face recognition with local similarity decisions,” International Journal of Applied Pattern Recognition, vol. 1, no. 1, pp. 61–80, 2013.

[95] A. P. James, L. R. V. Francis, and D. S. Kumar, “Resistive threshold logic,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 22, no. 1, pp. 190–195, 2014 (2013 online).

[96] A. P. James and S. Dimitrijev, “Nearest neighbor classifier based on nearest feature decisions,” The Computer Journal, vol. 55, no. 9, pp. 1072–1087, 2012.

[97] A. James and S. Dimitrijev, “Ranked selection of nearest discriminating features,” Human-centric Computing and Information Sciences, vol. 2, no. 1, p. 12, 2012.

[98] A. James and A. K. Maan, “Improving feature selection algorithms using normalised feature histograms,” Electronics Letters, vol. 47, no. 8, pp. 490–491, 2011.

[99] A. James and S. Dimitrijev, “Cognitive memory network,” Electronics Letters, vol. 46, no. 10, pp. 677–678, 2010.

[100] A. James and S. Dimitrijev, “Inter-image outliers and their application to image classification,” Pattern Recognition, vol. 43, no. 12, pp. 4101–4112, 2010.

[101] A. P. James and S. Dimitrijev, “Face recognition using local binary decisions,” IEEE Signal Processing Letters, vol. 15, pp. 821–824, 2008.

Conference Proceedings

[102] A. Gopi, S. Davar, V. Vasudevan Nair, A. Kabeer, T. Fevens, and A. James, “Memristive implementation of variable pixel MRI imaging using SkyWater 130 nm PDK,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2025.

[103] A. Gopi, A. Pramod, E. George, and A. James, “Quality check of cooking ingredients using CSRR and ANN,” in Proc. 2025 IEEE Wireless Antenna and Microwave Symposium (WAMS), 2025.

[104] K. Kartha, A. Kabeer, and A. James, “2D material characterisation using in-memory predictive analytics,” in Proc. IEEE Asia Pacific Conf. Circuits and Systems (APCCAS), 2025.

[105] S. Pallathuvalappil and A. James, “3D bridge super-resolution crossbars,” in Proc. 2025 IEEE Int. Symp. Circuits and Systems (ISCAS), 2025.

[106] V. V. Nair, E. George, and A. James, “Monitoring plant growth: Using EM waves with memristive echo state networks,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2025.

[107] E. George, S. Pallathuvalappil, and A. James, “Smart clothing using antenna and memristive ANN,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2024.

[108] A. Gopi, E. George, R. K. R., and A. James, “AI for antenna design re-engineering: Yes, radiation patterns predict antenna structures,” in Proc. IEEE Int. Conf. Artificial Intelligence Circuits and Systems (AICAS), 2024.

[109] A. James, E. George, A. Radhakrishnan, and R. Govind, “Electroexperiance: Transforming post-graduate electronics education with experiential learning,” in Proc. 2024 IEEE Int. Conf. Teaching, Assessment and Learning for Engineering (TALE), 2024.

[110] K. Kartha and A. James, “Graphite-based flexible thermocouple array for PCB thermal monitoring,” in Proc. 2024 IEEE 67th Int. Midwest Symp. Circuits and Systems (MWSCAS), 2024.

[111] K. Kartha, V. Nair, and A. James, “Rapid and cost-effective characterization of graphene powders using memristive echo state networks,” in Proc. 2024 IEEE Int. Conf. Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2024.

[112] V. S. Mallan, R. Alex, and A. James, “Learning chemical compositions through music,” in Proc. 2024 IEEE Int. Conf. Consumer Electronics (ICCE), 2024.

[113] V. V. Nair, P. Anilkumar, and A. James, “High voltage transformer condition monitoring using memristive echo state networks,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2024.

[114] S. Pavithran, E. George, and A. James, “Parasitic effects prediction in on-chip antennas,” in Proc. 2024 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), 2024.

[115] S. Pavithran, A. Pramod, E. George, and A. James, “Prediction of 3D-printed substrate dielectric constant using artificial neural network,” in Proc. 2024 IEEE Microwaves, Antennas, and Propagation Conf. (MAPCON), 2024.

[116] T. Rajalekshmi, R. R. Das, and A. James, “Graphene-based piezoresistive pressure sensor for structural health monitoring,” in Proc. 2024 IEEE Applied Sensing Conf. (APSCON), 2024.

[117] A. Remanan, A. Gopi, A. James et al., “Universal filter array with memristive crossbar,” in Proc. 2024 IEEE 24th Int. Conf. Nanotechnology (NANO), 2024.

[118] A. Remanan, V. Nair, S. Pallathuvalappil, and A. James, “Analog neuron as generalised similarity metric,” in Proc. 2024 IEEE Asia Pacific Conf. Circuits and Systems (APCCAS), 2024.

[119] E. George, A. Radhakrishnan, and A. James, “Antenna-based classification of posture positions using 1T1M crossbar arrays,” in Proc. 2023 18th Int. Workshop Cellular Nanoscale Networks and their Applications (CNNA), 2023.

[120] D. Mahapatra and A. James, “Natural outlier rejection with Shepherd’s psychometric similarity metric,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2023.

[121] M. Navaz, C. Reghuvaran, and A. James, “Memristive crossbar for hyperdimensional consumer text analytics accelerator,” in Proc. IEEE Interregional NEWCAS Conf., 2023.

[122] A. Radhakrishnan, S. Babu, and A. James, “Python based memristor model library for variability analysis,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2023.

[123] A. Radhakrishnan and A. James, “Aging aware retraining with a sparse update for neuromorphic computing,” in Proc. 2023 IEEE Int. Conf. Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023.

[124] P. Sruthi, A. Aswani, R. Chithra et al., “Analog memristor counter arrays,” in Proc. 2023 IEEE 23rd Int. Conf. Nanotechnology (NANO), 2023.

[125] S. K. Vohra, A. James, M. Sakare, and D. M. Das, “Analysing mismatch effect of CMOS neurons in spiking neural network with winner-take-all mechanisms,” in Proc. IEEE Nordic Circuits and Systems Conf. (NORCAS), 2023.

[126] U. Ajaydas, N. K. Reddy, and A. James, “Hardware implementation of an efficient FIR filter for ECG signal denoising application,” in Proc. IEEE Int. Conf. Electronics, Circuits and Systems (ICECS), 2022.

[127] A. Aswani, R. Chitra, and A. James, “Unstructured weight pruning in variability-aware memristive crossbar neural networks,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2022.

[128] S. Banerjee, B. Kumar, A. James, and J. N. Tripathi, “Blood pressure estimation from ECG data using XGBoost and ANN for wearable devices,” in Proc. IEEE Int. Conf. Electronics, Circuits and Systems (ICECS), 2022.

[129] R. Chitra, A. Aswani, and A. James, “Memristive CNN for wafer defect detection,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2022.

[130] M. Elamparithy, R. Chithra, and A. James, “ImageSplit: Modular memristive neural network,” in Proc. IEEE 22nd Int. Conf. Nanotechnology (NANO), 2022.

[131] V. Ibrahim, S. Datta, A. P. James, and J. S. Paul, “Interleaved hybrid domain learning for super-resolution MRI,” in Proc. 2022 IEEE Int. Symp. Circuits and Systems (ISCAS), 2022.

[132] O. Krestinskaya, K. Salama, and A. James, “Analog image denoising with an adaptive memristive crossbar network,” in Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), 2022.

[133] N. K. Reddy, A. James, and A. S. Kumar, “Fault-tolerant core mapping for NoC based architectures with improved performance and energy efficiency,” in Proc. IEEE Int. Conf. Electronics, Circuits and Systems (ICECS), 2022.

[134] A. Aswani, R. Kumar, J. N. Tripathi, and A. James, “Performance of crossbar-based long short term memory with aging memristors,” in Proc. 2021 IEEE 3rd Int. Conf. Artificial Intelligence Circuits and Systems (AICAS), 2021.

[135] A. Bakambekova, O. Krestinskaya, and A. James, “Generate while sensing – intelligent imaging with memristive Pixel-CNN,” in Proc. 2021 IEEE 21st Int. Conf. Nanotechnology (NANO), 2021.

[136] R. Kumar, A. Chordia, A. Aswani, A. James, and J. N. Tripathi, “Uncertainty quantification of memristor crossbar array for vector–matrix multiplication,” in Proc. 2021 IEEE 25th Workshop Signal and Power Integrity (SPI), 2021.

[137] A. Irmanova, I. Dolzhikova, and A. James, “Self tuning stochastic weighted neural networks,” in Proc. 2020 IEEE Int. Symp. Circuits and Systems (ISCAS), 2020.

[138] A. James, “Towards strong AI with analog neural chips,” in Proc. 2020 IEEE Int. Symp. Circuits and Systems (ISCAS), 2020.

[139] O. Krestinskaya, K. Salama, and A. P. James, “Towards hardware-optimal neural network selection with multi-objective genetic search,” in Proc. 2020 IEEE Int. Symp. Circuits and Systems (ISCAS), 2020.

[140] E. Onyejegbu, A. Dorzhigulov, and A. P. James, “Biometric-aware pixel fused crossbars,” in Proc. 2020 IEEE Int. Symp. Circuits and Systems (ISCAS), 2020.

[141] S. Panja and A. James, “Belief index for fake COVID-19 text detection,” in Proc. 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2020.

[142] S. Panja, A. K. Maan, and A. P. James, “Vilokana – lightweight COVID-19 document analysis,” in Proc. 2020 IEEE 63rd Int. Midwest Symp. Circuits and Systems (MWSCAS), 2020.

[157] K. Adam, K. Smagulova, and A. P. James, “Memristive LSTM network hardware architecture for time-series predictive modeling,” in Proc. 2018 IEEE Asia Pacific Conf. Circuits and Systems (APCCAS), 2018.

[158] K. Adam, K. Smagulova, O. Krestinskaya, and A. P. James, “Wafer quality inspection using memristive LSTM, ANN, DNN and HTM,” in Proc. 2018 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS), 2018.

[159] B. Argimbayev, O. Krestinskaya, and A. P. James, “Effects of memristors on fully differential transimpedance amplifier performance,” in Proc. 2018 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2018.

[160] I. Dolzhigulov, K. Salama, V. Kizheppatt, and A. P. James, “Memristor-based synaptic sampling machines,” in Proc. 2018 IEEE 18th Int. Conf. Nanotechnology (NANO), 2018.

[161] A. Dorzhigulov, B. Choubey, and A. P. James, “Current controlled neuro-fuzzy membership function generation,” in Proc. 2018 IEEE 61st Int. Midwest Symp. Circuits and Systems (MWSCAS), 2018.

[162] A. Irmanova, G. A. Ellis, and A. P. James, “Impact of integrated circuit packaging on synaptic dynamics of memristive devices,” in Proc. 2018 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS), 2018.

[163] A. Irmanova, O. Krestinskaya, and A. P. James, “Image-based HTM word recognizer for language processing,” in Proc. 2018 IEEE Int. Conf. Consumer Electronics–Asia (ICCE-Asia), 2018.

[164] A. Khamitov, B. Alimkhanuly, A. Kalakova, M. Maksut, M. Lu, M. Bagheri, and A. P. James, “Dynamic wireless charging of electric vehicles: Multi-channel modeling,” in Proc. 2018 IEEE Int. Conf. Environment and Electrical Engineering / Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 2018.

[165] O. Krestinskaya and A. P. James, “Approximate probabilistic neural networks with gated threshold logic,” in Proc. 2018 IEEE 18th Int. Conf. Nanotechnology (NANO), 2018.

[166] O. Krestinskaya and A. James, “Real-time analog pixel-to-pixel dynamic frame differencing with memristive sensing circuits,” in Proc. 2018 IEEE Sensors, 2018.

[167] O. Krestinskaya and A. P. James, “Binary weighted memristive analog deep neural network for near-sensor edge processing,” in Proc. 2018 IEEE 18th Int. Conf. Nanotechnology (NANO), 2018.

[168] O. Krestinskaya, A. K. Maan, and A. P. James, “Programmable memristive threshold logic gate array,” in Proc. 2018 IEEE Asia Pacific Conf. Circuits and Systems (APCCAS), 2018.

[169] O. Krestinskaya, K. N. Salama, and A. P. James, “Analog backpropagation learning circuits for memristive crossbar neural networks,” in Proc. 2018 IEEE Int. Symp. Circuits and Systems (ISCAS), 2018.

[170] M. Lu, M. Bagheri, A. Khamitov, B. Alimkhanuly, A. Kalakova, M. Maksut, and A. P. James, “Experimental analysis of voltage pulsations at the receiver of a dynamic wireless charging system,” in Proc. 2018 IEEE 8th Power India Int. Conf. (PIICON), 2018.

[171] D. Mikhailenko, C. Liyanagedera, A. James, and K. Roy, “M²CA: Modular memristive crossbar arrays,” in Proc. 2018 IEEE Int. Symp. Circuits and Systems (ISCAS), 2018.

[172] Y. Orazayev, O. Krestinskaya, and A. P. James, “CMOS-memristive self-cascode current mirror,” in Proc. 2018 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2018.

[173] D. Pernebayeva, D. Sadykova, A. James, and M. Bagheri, “Outdoor insulator surface condition evaluation using image classification,” in Proc. 2018 IEEE Int. Conf. High Voltage Engineering and Application (ICHVE), 2018.

[174] K. Smagulova, K. Adam, O. Krestinskaya, and A. P. James, “Design of CMOS–memristor circuits for LSTM architecture,” in Proc. 2018 IEEE Int. Conf. Electron Devices and Solid State Circuits (EDSSC), 2018.

[175] K. Smagulova, A. Irmanova, and A. P. James, “Low power near-sensor coarse-to-fine XOR-based memristive edge detection,” in Proc. 2018 Int. SoC Design Conf. (ISOCC), 2018.

[176] Y. Akhmetov, J. J. Mathew, and A. P. James, “Variable pixel G-neighbor filters,” in Proc. 2017 IEEE Int. Symp. Circuits and Systems (ISCAS), 2017.

[177] A. Dorzhigulov, Y. Berdaliyev, and A. P. James, “Coarse-to-fine difference edge detection with binary neural firing model,” in Proc. 2017 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2017.

[178] T. Ibrayev, O. Krestinskaya, and A. P. James, “Design and implication of a rule-based weight sparsity module in HTM spatial pooler,” in Proc. 2017 24th IEEE Int. Conf. Electronics, Circuits and Systems (ICECS), 2017.

[179] A. Irmanova and A. James, “Multi-level memristive memory with resistive networks,” in Proc. 2017 IEEE Asia Pacific Conf. Postgraduate Research in Microelectronics and Electronics (PrimeAsia), 2017.

[180] A. Irmanova, O. Krestinskaya, and A. P. James, “Neuromorphic adaptive edge-preserving denoising filter,” in Proc. 2017 IEEE Int. Conf. Rebooting Computing (ICRC), 2017.

[181] A. Izbassarova, A. Irmanova, and A. P. James, “Automated rating of recorded classroom presentations using speech analysis in Kazakh,” in Proc. 2017 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2017.

[182] A. P. James, O. Krestinskaya, and J. J. Mathew, “Unified model for contrast enhancement and denoising,” in Proc. 2017 IEEE Computer Society Annual Symp. VLSI (ISVLSI), 2017.

[183] S. Kauanova, I. Vorobjev, and A. James, “Automated image segmentation for detecting cell spreading for metastasis assessment,” in Proc. 2017 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2017.

[184] O. Krestinskaya and A. P. James, “Facial emotion recognition using min–max similarity classifier,” in Proc. 2017 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2017.

[185] M. Lu, A. James, and M. Bagheri, “Unmanned aerial vehicle (UAV) charging from power lines,” in Proc. 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conf. (APPEEC), 2017.

[186] D. Pernebayeva, A. James, and M. Bagheri, “Live-line snow and ice coverage detection of ceramic insulators using Gabor image features,” in Proc. IET Int. Conf. Resilience of Transmission and Distribution Networks (RTDN), 2017.

[187] D. Pernebayeva, M. Bagheri, and A. James, “High-voltage insulator surface evaluation using image processing,” in Proc. 2017 IEEE Int. Symp. Electrical Insulating Materials (ISEIM), 2017.

[188] S. Reihanian, A. Zollanvari, and A. P. James, “Adaptive face-space models with dynamic neural priors and sparse coding,” in Proc. 2017 24th IEEE Int. Conf. Electronics, Circuits and Systems (ICECS), 2017.

[189] D. Sadykova and A. James, “Quality assessment metrics for edge detection and edge-aware filtering: A tutorial review,” in Proc. 2017 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2017.

[190] A. Tankimanova, A. K. Maan, and A. P. James, “Level-shifted neural-encoded analog-to-digital converter,” in Proc. 2017 24th IEEE Int. Conf. Electronics, Circuits and Systems (ICECS), 2017.

[191] Y. Berdaliyev and A. P. James, “RFID-cloud smart cart system,” in Proc. 2016 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2016.

[192] T. Ibrayev, A. P. James, C. Merkel, and D. Kudithipudi, “HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits,” in Proc. 2016 IEEE Int. Symp. Circuits and Systems (ISCAS), 2016.

[193] O. Krestinskaya and A. James, “Bio-inspired memory model for HTM face recognition,” in Proc. 2016 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2016.

[194] A. K. Maan and A. P. James, “Voltage-controlled memristor threshold logic gates,” in Proc. 2016 IEEE Asia Pacific Conf. Circuits and Systems (APCCAS), 2016.

[195] A. Ryskaliyev, S. Askaruly, and A. P. James, “Speech signal analysis for estimation of heart rates under different emotional states,” in Proc. 2016 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2016.

[196] K. Smagulova, A. Tankimanova, and A. P. James, “CMOS-memristor hybrid integrated pixel sensors,” in Proc. 2016 IEEE Int. Symp. Nanoelectronic and Information Systems (iNIS), 2016.

[197] S. Sudhakaran and A. P. James, “Low-resolution sparse binary face patterns,” in Proc. Int. Conf. Computer Vision Theory and Applications (VISAPP), 2016.

[198] A. Zhanbossinov, K. Smagulova, and A. P. James, “CMOS-memristor dendrite threshold circuits,” in Proc. 2016 IEEE Asia Pacific Conf. Circuits and Systems (APCCAS), 2016.

[199] D. Bakirov, A. Dorzhigulov, A. P. James et al., “Activity detection with dendrite threshold model,” in Proc. 2015 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2015.

[200] O. Krestinskaya, I. Fedorova, and A. P. James, “Memristor load current mirror circuit,” in Proc. 2015 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2015.

[201] D. Mathew, D. S. Kumar, and A. James, “Facial emotion-recognising memristive threshold logic system,” in Proc. 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2015.

[202] S. Sugathan, R. Scaria, and A. P. James, “Adaptive digital scan variable pixels,” in Proc. 2015 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2015.

[203] D. Kaskina, R. Bradshaw, A. James, Y. Kho, and M. Kabiyeva, “Developing high-resolution remote sensing technology into an advanced knowledge management system,” in Proc. 2014 IEEE 8th Int. Conf. Application of ICT (AICT), 2014.

[204] N. S. Kumar, D. S. Kumar, S. Swathikiran, and A. P. James, “Ancient Indian document analysis using cognitive memory network,” in Proc. 2014 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2014.

[205] S. Sugathan and A. P. James, “Intraoperative cardiac MRI processing using threshold logic cells,” in Proc. 2014 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2014.

[206] S. Sugathan and A. P. James, “Irregular pixel imaging,” in Proc. 2014 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2014.

[207] A. James and S. Sugathan, “Parallel realization of cognitive cells on film mammography,” in Proc. 2013 IEEE Int. Conf. Trust, Security and Privacy in Computing and Communications (TrustCom), 2013.

[208] S. Sugathan and A. P. James, “Directional edge detection using parallel cognitive logic cells,” in Proc. 2013 Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2013.

[209] A. K. Maan and A. P. James, “Ranking importance-based information on the World Wide Web,” in Proc. Int. Conf. Advances in Computing, Communications and Informatics (ICACCI), 2012.

[210] A. James, “Pixel-level similarity fusion for image classification,” in Proc. 2010 7th Int. Multi-Conf. Systems, Signals and Devices, 2010.

[211] A. P. James, F. Shariff, and A. K. Maan, “A neuron-based switch: Application to low-power mixed-signal circuits,” in Proc. 2010 Int. Conf. Advances in Computer Engineering, 2010.

[212] A. James and S. Dimitrijev, “Role of resolution in noisy pattern matching,” in Proc. Int. Conf. Business Administration and Information Processing, Springer, 2010.

[213] A. Anju, S. Gowri, M. Baiju, K. Ajayan, and A. James, “Two-to-one multiplexer using pseudoresistive load,” in Proc. MIPRO 2006 Int. Convention, 2006.

[214] V. Aravind, S. Sreejith, K. Ajayan, and A. James, “Bulk-driven cascode current mirror,” in Proc. MIPRO 2006 Int. Convention, 2006.

[215] N. Ashok, K. Juny, K. Ajayan, and A. James, “Low-voltage class-AB op-amp,” in Proc. MIPRO 2006 Int. Convention, 2006.

[216] J. A. Chandran, J. George, K. Ajayan, and A. James, “1-V CMOS differential-mode sense amplifier,” in Proc. MIPRO 2006 Int. Convention, 2006.

[217] N. Divya, P. N. Prakash, A. James, and K. Ajayan, “Current-mode analog multiplier,” in Proc. MIPRO 2006 Int. Convention, 2006.

[218] P. R. Nair, K. Ajayan, and A. James, “1-bit CMOS current-mode digital full adder,” in Proc. MIPRO 2006 Int. Convention, 2006.

[219] S. Shruti, A. Vimitha, K. Ajayan, and A. James, “Low-voltage track-and-hold circuit using CMOS current mirror with pseudoresistive feedback,” in Proc. MIPRO 2006 Int. Convention, 2006.

[220] A. P. James, K. Ajayan, and M. Baiju, “1-V CMOS current mirror based on pseudo-resistive feedback,” in Proc. 28th Int. Convention on Microelectronics, Electronics and Electronic Technologies (MIPRO), 2005.

Books & Book Chapter

[221] A. James, Memristors: Circuits and Applications of Memristor Devices. BoD – Books on Demand, 2020.

[222] A. James, “Analog neural computing under variability intense memristor arrays,” in Intelligence in Chip: Integrated Sensors and Memristive Computing. River Publishers, 2024.

[223] A. P. James, “Analog memristive computing,” in Selected Topics in Intelligent Chips with Emerging Devices, Circuits and Systems. River Publishers, 2023.

[224] A. James, “Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks,” in Mem-Elements for Neuromorphic Circuits with Artificial Intelligence Applications. Elsevier, 2021.

[225] O. Krestinskaya and A. James, “Analog circuit integration of backpropagation learning in memristive HTM architecture,” in Mem-Elements for Neuromorphic Circuits with Artificial Intelligence Applications. Elsevier, 2021.

[226] O. Krestinskaya and A. James, “Learning memristive spiking neurons and beyond,” in Mem-Elements for Neuromorphic Circuits with Artificial Intelligence Applications. Elsevier, 2021.

[227] A. K. Maan and A. James, “Neuromorphic vision networks for face recognition,” in Mem-Elements for Neuromorphic Circuits with Artificial Intelligence Applications. Elsevier, 2021.

[228] K. Adam, K. Smagulova, and A. James, “Memristive LSTM architectures,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[229] A. Bakambekova and A. P. James, “Deep learning theory simplified,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[230] Y. Dauletkhanuly, O. Krestinskaya, and A. P. James, “HTM theory,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[231] I. Dolzhikova, A. Kumar Maan, and A. P. James, “Memristive threshold logic networks,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[232] A. Dorzhigulov and A. P. James, “Deep neuro-fuzzy architectures,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[233] A. Irmanova, S. Myrzakhmet, and A. P. James, “Multi-level memristive memory for neural networks,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[234] A. Izbassarova, A. Duisembay, and A. P. James, “Speech recognition application using deep learning neural network,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[235] A. James, “Introduction to neuro-memristive systems,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[236] O. Krestinskaya, A. Irmanova, and A. P. James, “Memristors: Properties, models, materials,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[237] O. Krestinskaya and A. James, “Learning algorithms and implementation,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[238] D. Pernebayeva and A. P. James, “Deep-learning-based approach for outdoor electrical insulator inspection,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[239] K. Smagulova and A. P. James, “Overview of long short-term memory neural networks,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[240] Y. Toleubay and A. James, “Getting started with TensorFlow deep learning,” in Deep Learning Classifiers with Memristive Networks: Theory and Applications. Springer, 2019.

[241] A. James, “Memristor threshold logic FFT circuits,” in Fourier Transforms: High-Tech Application and Current Trends. IntechOpen, 2017.

[242] D. Alex and A. P. James, “Aggregate metric networks for nearest neighbour classifiers,” in Advances in Signal Processing and Intelligent Recognition Systems. Springer, 2014.

[243] A. P. James and A. Kavitha, “Mean-variance blind noise estimation for CT images,” in Advances in Signal Processing and Intelligent Recognition Systems. Springer, 2014.

[244] A. P. James and S. Sherin, “Trust issues in modern embedded computing,” in Managing Trust in Cyberspace. CRC Press, 2013.

[245] A. James, “Machine intelligence using hierarchical memory networks,” in Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global, 2013.

Patents 

[246] A. P. James, E. George, and S. P., “Smart cloth with unified size for all clothing brands,” Indian Patent No. 202441017851, granted Jan. 22, 2025.

[247] A. James, A. A. R., and S. P., “System for performing in-memory computation of neural network accelerators using bridge configuration,” Indian Patent No. 202441017850, granted Apr. 23, 2025.

[248] A. P. James, E. George, A. A. R., and S. Pavithran, “Detection of landmine using AI-based GPR system,” Indian Patent No. 202441043606, 2024.

[249] A. P. James, E. George, A. A. R., and S. Pavithran, “System for real-time landmine detection with on-chip artificial intelligence and ground penetrating radar,” Indian Patent No. 202441043607, 2024.

[250] A. James, C. R., and A. A. R., “Method of designing secure AI hardware system using physical unclonable function (PUF),” Indian Patent No. 202341034637, granted Oct. 7, 2025.

[251] A. James, R. R. T., and S. P., “Graphene-based solar panel for radiation shielding,” Indian Patent No. 202341043178, granted Oct. 31, 2025.

[252] A. James, R. R. T., and S. P., “Method for inducing light emission and strengthening glass sculptures by incorporating graphene nanoplatelets,” Indian Patent No. 202341007940, granted Nov. 19, 2025.

[253] Remya and A. James, “A graphene-based flexible resistive type touchscreen and a calculator display thereof,” Indian Patent No. 202441044105, 2024 (Awaiting final approval).

[254] Remya and A. James, “Smart flexible heated glove based on graphene/polymer composite,” Indian Patent No. 202441011017, granted Nov. 27, 2025(Awaiting final approval)..

[255] Vineeta, Remya, and A. James, “Artificial somatosensory system with memory,” Indian Patent No. 202441029499, 2024.(Awaiting final approval).

[256] A. P. James, V. S. Mallan, and C. R., “3D printing interlocks with 2D material composites on irregular outdoor floors,” Indian Patent No. 202341045941, 2023.(Awaiting final approval).

[257] A. James, “Intelligent floor and tiles for person and object identification,” Indian Patent No. 202341073457, 2023.(Awaiting final approval).

[258] A. P. James, A. Kumar, Anju, and A. Chandran, “A system and a method for artificial-intelligence-enabled edge computing supported gateway,” Indian Patent No. 202341005217, 2023.(Awaiting final approval).

[259] A. James and K. Kartha, “Autonomous multi-copter 3D drone printer,” Indian Patent No. 202341033398, 2023.(Awaiting final approval).

[260] A. James and K. Kartha, “IoT-based smart toy system with integrated conductive touch sensor,” Indian Patent No. 202341046054, 2023. Granted 22 Dec 2025

[261] A. James and V. Nair, “System and method for classifying real-time images using a quantum echo state network unit,” Indian Patent No. 202341043177, 2023.(Awaiting final approval).

[262] A. James, A. A. R., and S. P., “Data processing architecture for designing fully reconfigurable arithmetic logic unit (ALU),” Indian Patent No. 202341044093, 2023.(Awaiting final approval).

[263] A. James, R. R. T., and K. Kartha, “Graphene reinforced rubber composition, preparation method and use thereof,” Indian Patent No. 202341079085, 2023.(Awaiting final approval).

[264] A. James, Rajalakshmi, and S. Pavithran, “Composition of a graphene dispersion to enhance properties of a material and a method thereof,” Indian Patent No. 202341039692, 2023.(Awaiting final approval).

[265] A. P. James, V. S. Mallan, and C. R., “An invisible drone network surveillance system and method for secure data transmission,” Indian Patent No. 202241014109, 2022.(Awaiting final approval).

[266] A. P. James, C. R., and A. A. R., “System and method for monitoring and securing a military weapon,” Indian Patent No. 202241014106, 2022.(Awaiting final approval).

[267] A. James and K. Kartha, “A system and a method for controlling a vehicle autonomously,” Indian Patent No. 202241026246, 2022.(Awaiting final approval).

Projects

A. National Mission Projects

[1] 2021–2026 – Centre of Excellence in Intelligent IoT Sensors, Ministry of Electronics & Information Technology (MeitY), Government of India, Chief Investigator, ₹42 Cr (USD 6M). 

[2] 2022–2027 – India Innovation Centre for Graphene, MeitY, Government of India & Government of Kerala, Chief Investigator, ₹87 Cr (USD 10M). 

[3] 2024–2029 – Graphene Aurora Program, MeitY, Government of India & Government of Kerala, Chief Investigator, ₹95 Cr (USD 11M). 

B. Innovation Ecosystem Grants

[4] 2019–2022 – SPARSH, BIRAC, ₹2.0 Cr, Fellowship programme; Outcome: SPARSH fellows supported. 

[5] 2021–2023 – NIDHI Accelerator, DST, ₹0.4 Cr, Outcome: 15 MedTech startups supported. 

[6] 2024–2025 – SAMRIDH Accelerator, MeitY, ₹4.66 Cr, Outcome: 11 startups supported. 

[7] 2019–2025 – TIDE Investment, MeitY, ₹6.875 Cr, Outcome: 12 startups funded for marketing. 

[8] 2018–2025 – NIDHI PRAYAS, DST, ₹2.56 Cr. 

[9] 2024–2025 – GENESIS EIR, MeitY, ₹3.24 Cr. 

[10] 2021–present – SISFS, DPIIT, ₹5.0 Cr. 

[11] 2020–present – TIDE 2.0 – EIR/GRANT, MeitY, ₹5.98 Cr. 

[12] – AIM-EIC, NITI Aayog, Approved 

[13] – Genesis Pre-Pilot, MeitY, Approved 

[14] – Genesis Matching Contribution, MeitY, Approved 

[15] – SPARSH 2.0, BIRAC, ₹3.5 Cr. 

[16] 2025 – DIR-V Grand Challenge, MeitY, Government of India, ₹2.7 Cr. 

C. Research Mobility Grants

[17] 2017–2018 – Erasmus+ International Credit Mobility, Research Exchange, Universidade Nova de Lisboa, PI. 

[18] 2017–2018 – Erasmus+ International Credit Mobility, Research Exchange, France, PI. 

D. Research Grants

[19] 2023–2028 – Tactile Sensing Integrated Neural Chip, Chip-to-Startup Programme, MeitY, ₹86 Lakhs, PI. 

[20] 2024–2025 – Analog Computer Chip for Beyond-Moore Computing, Kairali Gaveshana Award (Govt. of Kerala), ₹24 Lakhs. 

[21] 2021–2023 – Neuro-memristive PUF for Biometric Sensing Chip, C3iHub-IITK / DST, ₹29 Lakhs. 

[22] 2016–2019 – Nazarbayev–Oxford Image Sensor with Enhanced Speed & Processing (NOISE-SIP), ORAU Grant, USD 400,000, Outstanding Score 8.33/9. 

[23] 2015–2017 – Electromagnetic Field Treatment for Alzheimer’s Disease, ORAU-MES Grant, USD 200,000, PI: Timur Saliev; Co-PI: A. James. 

[24] 2017–2020 – Wireless Sensor Framework for Oil & Gas Reservoir Characterization, ORAU Grant, USD 400,000, PI: Jong Kim; Co-PI: A. James. 

[25] 2014 – Neuromorphic Biometric Security Memweight Networks Chip, NU Seed Grant, KZT 2.6M. 

[26] 2011–2012 – GPU-based Visual Cortical Learning Algorithms for 3D Biometric Pattern Analysis, NVIDIA Professorship Grant (equipment grant). 

E. Industry Grants

[28] 2020–2021 – Centre for Artificial General Intelligence & Neuromorphic Systems – Indriym Biologics, ₹10 Lakhs. 

[29] 2020–2021 – Centre for Artificial General Intelligence & Neuromorphic Systems – Enin Technologies, ₹10 Lakhs (equipment grant). 

F. Outreach / IEEE Grants

[30] 2011–2012 – IEEE International Outreach Funding, IEEE CASS, USD 5000, PI. 

[31] 2014 – IEEE International Outreach Funding, IEEE CASS, USD 3500, PI. 

[32] 2015 – IEEE International Outreach Funding, IEEE CASS, USD 4000, PI. 

[33] 2017 – IEEE International Outreach Funding, IEEE CASS, USD 6500, PI. 

[34] 2021 – IEEE Intelligence in Chip – Seasonal School Outreach Grant, USD 2000, PI. 

[35] 2023–2024 – Maker CHIPS, IEEE CASS, USD 8000, PI. 

[36] 2024 – CASS AI Seasonal School Outreach Grant, USD 3500, PI. 

[37] 2025 – Neuromorphic Workshop Series, IEEE CASS Seasonal School Outreach Grant, USD 15,000, PI

PhD/MSc/MTech Students

• Anitha Gopi, 2025, (Thesis completed), PhD

• SRUTHI P, 2025, (Thesis completed), PhD

• Aswani R, 2025, (Thesis completed), PhD

• Vineeta Nair, 2025, (Thesis completed), PhD 

• Vasudev Mallan (Ongoing), PhD 

• Shilpa Pavithran (Ongoing), PhD 

• Nithin Krishnan (Ongoing), PhD 

• Kishan Kartha (Ongoing), PhD 

• Irmanova Aidana (2016–2019)  (Awarded), PhD 

• Sholpan Kauanova (2015–2019)  (Awarded), PhD 

• Kamilya Smagulova (2015–2019)  (Awarded), PhD 

• Damira Pernebayeva (2015–2019)  (Awarded), PhD 

• Akshay Maan (2015)  (Awarded), PhD

• G. Jwala Lakshmi Narasimha (2023), MTech 

• Abel Joseph John (2023), MTech  

• Allwan S Anand (2023), MTech  

• Ajaydas U R (2023), MTech  

• Ardra B (2024), MSc  

• Vyshnav P Dinesh (2024), MSc 

• Haritha R (2024), MTech 

• Nandana G S (2024), MTech 

• Sharon Ann Rajimon (2024), MTech  

• Seethalakshmi J (2024), MTech  

• Amal Pramod (2025), MTech  

• Goutham Krishnan (2025), MSc  

• Nandana P S (2025), MSc  

• Amal Joseph (2025), MTech   

• Shahna (2025), MTech   

• Mevin Mathew (2025), MSc  

• Diana Sadykova (2017–2018) 

• Kamilla Aliakhmet (2017–2018) 

• Yerbol Akhmetov (2017–2018) 

• Serikbolsyn Myrzakhmet (2017–2018) 

• Kazybek Adam (2017–2019) 

• Anuar Dorzhigulov (2016) 

• Sultan Duisenbay (2016) 

• Nazgul Dastanova (2016) 

• Irina Fedorova (2016–17) 

• Olga Krestinskaya (2016–17) 

• Akshay K. Maan, ME, Griffith University (2010–2015) 

• Hashem Mahrous, ME, Griffith University (2010) 

• Md. Atif, ME, Griffith University (2010) 

• Ahamed R, ME, Griffith University (2010) 

• Swathikiran S, ME (External) (2012–2013) 

• Kavitha A P, ME Photonics (2012–2013) 

• Arun Ajayan, ME VLSI (2012–2013) 

• B. Balaji (2011–2013) 

• S. Sherin (MCA) (2011) 

• Dinesh SK (2011–2013) 

• Sibin S (2011) 

• Lakshmi B G (2011–2013) 

• Femi K (2011–2013) 

• Hareesh Mohan (2011–2013) 

• Bineeth Kuriakose (2011–2013) 

• Deepthy V V (2011–2013) 

• Niranjana V Kartha (2011–2013) 

• Neethu S Kumar (2011–2013) 

• Divya V (2012) 

• Anitha N (2012) 

• Jeethu Thomas (2012) 

• Anusha P (2011-2012) 

• Raji C R (2011-2012) 

• Linu Rose V J (2011-2012) 

• Tincy Joseph (2011-2012) 

• Kasthuri E S (2011-2012) 

• Remya Ramesh (2011-2012) 

• Bhaghya B (2011-2012) 

Courses Taught

PhD

• Telemedicine (2015)

• Experimental Methods in Biomedical Engineering (2014, 2015)

• Bioelectronic Devices (2014)

• Non-linear Circuits (2021)

• Pedagogy and Curriculum Design (2021, 2022, 2023)

• Technical Writing (2021, 2022, 2023)

MSc / MS / M.Tech

• Non-linear Circuits (2021, 2023, 2024, 2025)

• Embedded Systems with ARM (2021, 2023, 2024, 2025)

• System on Chip (2021, 2023, 2024, 2025)

• Data Structures (2020, 2021)

• Mixed-Signal Circuits Design (2024, 2025)

• VLSI Physical Design (2024, 2025)

• Neuromorphic VLSI (2024, 2025)

• Data Converters (2024, 2025)

• CMOS Operational Amplifiers (2023, 2025)

• Big Data (2017, 2015)

• Mixed Signal Circuit Design (2016, 2015)

• Decision Models (2014)

• Quality Management (2015)

• Principles of Programming (2011, 2012)

• Embedded Systems (2011, 2012)

• Computer Architecture (2011)

• Computer Networks (2011)

• Artificial Intelligence (2011)

• Data Structures (2012, 2020)

• Digital Signal Processing (2012)

• Integrated Circuits Design (2010)

BS / BEngg

• Microelectronic Devices and Circuits (2017)

• Digital Integrated Circuits (2017)

• Nonlinear Circuits and Systems (2017, 2021)

• Integrated Circuit Design (2017)

• Microelectronic Circuits (2016)

• Embedded Microcontrollers (2016, 2014, 2015)

• Circuit Analysis and Digital Signal Processing (2013)

• Electronic Devices and Circuits (2013)

• Electromagnetics (2013)

• Principles of Programming (2013, 2014, 2015)

• Integrated Circuits Design (2015, 2016)

• Digital Electronic Systems Design (2014, 2015)

• Semiconductor Devices and Circuits (2010)

• Introduction to Electronics (2007, 2008, 2009, 2010)

Talks and Outreach