A 500 MHz OTA-C 4th order lowpass filter with class AB CMFB in 0.35 μm CMOS technology. - Pankaj Pandey; José Silva-Martínez; Xuemei Liu (CICC, 2004)

A CMOS 140-mW fourth-order continuous-time low-pass filter stabilized with a class AB common-mode feedback operating at 550 MHz. - Pankaj Pandey; José Silva-Martínez; Xuemei Liu (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

Applicability of Prediction Markets in Information Security Risk Management. - Pankaj Pandey; Einar Arthur Snekkenes (DEXA Workshops, 2014)

Using Prediction Markets to Hedge Information Security Risks. - Pankaj Pandey; Einar Arthur Snekkenes (STM, 2014)

The Halophile Protein Database. - Naveen Sharma; Mohammad Samir Farooqi; Krishna Kumar Chaturvedi; Shashi Bhushan Lal; Monendra Grover; Anil Rai; Pankaj Pandey (Database J. Biol. Databases Curation, 2014)

A Variable Payout Information Security Financial Instrument and Trading Mechanism to Address Information Security Risk. - Pankaj Pandey; Steven De Haes (3PGCIC, 2015)

Design and Performance Aspects of Information Security Prediction Markets for Risk Management. - Pankaj Pandey; Einar Arthur Snekkenes (SECRYPT, 2015)

Design, Demonstration, and Evaluation of an Information Security Contract and Trading Mechanism to Hedge Information Security Risks. - Pankaj Pandey; Steven De Haes (STM, 2015)

'Context, Content, Process' Approach to Align Information Security Investments with Overall Organizational Strategy. - Pankaj Pandey (CoRR, 2015)

Analyzing Cognitive States Using fMRI Data. - Pankaj Pandey; Byom Kesh Jha; Neelam Sinha (MIUA, 2016)

Using Financial Instruments to Transfer the Information Security Risks. - Pankaj Pandey; Einar Snekkenes (Future Internet, 2016)

Using Blockchains to Strengthen the Security of Internet of Things. - Charalampos S. Kouzinopoulos; Georgios P. Spathoulas; Konstantinos M. Giannoutakis; Konstantinos Votis; Pankaj Pandey; Dimitrios Tzovaras; Sokratis K. Katsikas; Anastasija Collen; Niels A. Nijdam (Euro-CYBERSEC, 2018)

Implementing a Forms of Consent Smart Contract on an IoT-based Blockchain to promote user trust. - Charalampos S. Kouzinopoulos; Konstantinos M. Giannoutakis; Konstantinos Votis; Dimitrios Tzovaras; Anastasija Collen; Niels A. Nijdam; Dimitri Konstantas; Georgios P. Spathoulas; Pankaj Pandey; Sokratis K. Katsikas (INISTA, 2018)

Towards Reliable Integrity in Blacklisting: Facing Malicious IPs in GHOST Smart Contracts. - Georgios P. Spathoulas; Anastasija Collen; Pankaj Pandey; Niels A. Nijdam; Sokratis K. Katsikas; Charalampos S. Kouzinopoulos; Maher Ben Moussa; Konstantinos M. Giannoutakis; Konstantinos Votis; Dimitrios Tzovaras (INISTA, 2018)

A Secured and Trusted Demand Response system based on Blockchain technologies. - Apostolos C. Tsolakis; Ioannis Moschos; Konstantinos Votis; Dimosthenis Ioannidis; Dimitrios Tzovaras; Pankaj Pandey; Sokratis K. Katsikas; Evangelos Kotsakis; Raúl García-Castro (INISTA, 2018)

Analog Frontend for Tribo-Current-Based Fly-Height Sensor for Magnetic Hard Disk Drive. - Arup Polley; Pankaj Pandey; Bryan E. Bloodworth; Costin Cazana (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Deep Learning Predicts Protein-Ligand Interactions. - Jacob Balma; Aaron D. Vose; Yuri K. Peterson; Amar G. Chittiboyina; Pankaj Pandey; Charles R. Yates; Ikhlas A. Khan; Sreenivas R. Sukumar 001 (IEEE BigData, 2020)

Classifying Oscillatory Signatures of Expert vs NonExpert Meditators. - Pankaj Pandey; Krishna Prasad Miyapuram (IJCNN, 2020)

Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning. - Pankaj Pandey; Raunak Swarnkar; Shobhit Kakaria; Krishna Prasad Miyapuram (CoRR, 2020)

Predicting learning stages during the serial reaction time task using event-related potentials. - Ishita Arun; Pankaj Pandey; Goldy Yadav; Krishna Prasad Miyapuram (BIBM, 2021)

Predicting Dominant Beat Frequency from Brain Responses While Listening to Music. - Pankaj Pandey; Nashra Ahmad; Krishna Prasad Miyapuram; Derek J. Lomas (BIBM, 2021)

Nonlinear EEG analysis of mindfulness training using interpretable machine learning. - Pankaj Pandey; Krishna Prasad Miyapuram (BIBM, 2021)

Brain Connectivity Based Classification of Meditation Expertise. - Pankaj Pandey; Pragati Gupta; Krishna Prasad Miyapuram (BI, 2021)

Movie Identification from Electroencephalography Response Using Convolutional Neural Network. - Dhananjay Sonawane; Pankaj Pandey; Dyutiman Mukhopadhyay; Krishna Prasad Miyapuram (BI, 2021)

BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings. - Pankaj Pandey; Krishna Prasad Miyapuram (MIUA, 2021)

PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics. - Prabhu Ramachandran; Aditya Bhosale; Kunal Puri; Pawan Negi; Abhinav Muta; A. Dinesh; Dileep Menon; Rahul Govind; Suraj Sanka; Amal S. Sebastian; Ananyo Sen; Rohan Kaushik; et al. (ACM Trans. Math. Softw., 2021)

Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation. - Shivam Chaudhary; Pankaj Pandey; Krishna Prasad Miyapuram; Derek Lomas (BI, 2022)

Music Identification Using Brain Responses to Initial Snippets. - Pankaj Pandey; Gulshan Sharma; Krishna P. Miyapuram; Ramanathan Subramanian; Derek Lomas (ICASSP, 2022)

Neural Encoding of Songs is Modulated by Their Enjoyment. - Gulshan Sharma; Pankaj Pandey; Ramanathan Subramanian; Krishna Prasad Miyapuram; Abhinav Dhall (ICMI, 2022)

Identifying Dominant Emotion in Positive and Negative Groups of Navarasa Using Functional Brain Connectivity Patterns. - Pankaj Pandey; Richa Tripathi; Gayatri Nerpagar; Krishna Prasad Miyapuram (ICONIP (2), 2022)

Towards the development of personalized and generalized interfaces for brain signals across different styles of meditation. - Shruti Singh 001; Pankaj Pandey; Shivam Chaudhary; Krishna P. Miyapuram; James Derek Lomas (ICVGIP, 2022)

Classifying oscillatory brain activity associated with Indian Rasas using network metrics. - Pankaj Pandey; Richa Tripathi; Krishna Prasad Miyapuram (Brain Informatics, 2022)

Improving self-supervised pretraining models for epileptic seizure detection from EEG data. - Sudip Das; Pankaj Pandey; Krishna Prasad Miyapuram (CoRR, 2022)

Resonance as a Design Strategy for AI and Social Robots. - James Derek Lomas; Albert Lin; Suzanne Dikker; Deborah Forster; Maria Luce Lupetti; Gijs Huisman; Julika Habekost; Caiseal Beardow; Pankaj Pandey; Nashra Ahmad; Krishna P. Miyapuram; Tim Mullen; et al. (Frontiers Neurorobotics, 2022)

EEG2IMAGE: Image Reconstruction from EEG Brain Signals. - Prajwal Singh; Pankaj Pandey; Krishna P. Miyapuram; Shanmuganathan Raman (ICASSP, 2023)

Decoding Individual and Shared Experiences of Media Perception Using CNN Architectures. - Riddhi Johri; Pankaj Pandey; Krishna Prasad Miyapuram; James Derek Lomas (MIUA, 2023)

Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning. - Pankaj Pandey; Nishchol Mishra (Int. J. Inf. Sec., 2023)

Digital Sovereignty and AI: Developing India's National AI Stack for Strategic Autonomy. - Pankaj Pandey (ICDS, 2024)

fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. - Pankaj Pandey; John McLinden; Neela Rahimi; Chetan Kumar; Ming Shao; Kevin M. Spencer; Sarah Ostadabbas; Yalda Shahriari (Eng. Appl. Artif. Intell., 2024)

Dynamic Vision from EEG Brain Recordings: How much does EEG know? - Prajwal Singh; Anupam Sharma; Pankaj Pandey; Krishna P. Miyapuram; Shanmuganathan Raman (CoRR, 2025)

AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing. - Behtom Adeli; John McLinden; Pankaj Pandey; Ming Shao; Yalda Shahriari (CoRR, 2025)

Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures. - Behtom Adeli; John McLinden; Pankaj Pandey; Ming Shao; Yalda Shahriari (CoRR, 2025)