Anup Aprem

Anup Aprem

Assistant Professor, ECED, NITC

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Pages

Posts

Future Blog Post

less than 1 minute read

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Journals and Magazines

  1. Anoop, CV and Aprem, Anup, “Bayesian Inverse Learning and Online Changepoint Detection of Cognitive Radar Strategies,” IEEE Transactions on Radar Systems, 2025.
  2. Anoop, CV, Negi, Neeraj, and Aprem, Anup, “Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory,” Expert Systems with Applications, Vol. 261, 2025, p. 125475.
  3. Paul, Merlin and Aprem, Anup, “Monotonic agent policies in dynamic bayesian persuasion: Application to intelligent traffic routing,” Authorea Preprints, 2024.
  4. Anoop, CV and Aprem, Anup, “Detecting Changes in Strategy of a Cognitive Radar: a Stochastic Revealed Preference Framework,” Authorea Preprints, 2024.
  5. CV, Anoop, Negi, Neeraj, and Aprem, Anup, “Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field,” arXiv preprint arXiv:2308.01013, 2023.
  6. Aprem, Anup and Roberts, Stephen, “A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback,” The Computer Journal, Vol. 12, 2019.
  7. Aprem, Anup and Roberts, Stephen J, “Optimal pricing in black box producer-consumer Stackelberg games using revealed preference feedback,” Neurocomputing, Vol. 437, 2021, pp. 31-41.
  8. Krishnamurthy, Vikram, Aprem, Anup, and Bhatt, Sujay, “Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media,” Automatica, Vol. 95, 2018, pp. 385-398.
  9. Hoiles, William, Aprem, Anup, and Krishnamurthy, Vikram, “Engagement and popularity dynamics of YouTube videos and sensitivity to meta-data,” IEEE Transactions on Knowledge and Data Engineering, Vol. 29, No. 7, 2017, pp. 1426-1437.
  10. Aprem, Anup and Krishnamurthy, Vikram, “Utility change point detection in online social media: A revealed preference framework,” IEEE Transactions on Signal Processing, Vol. 65, No. 7, 2016, pp. 1869-1880.
  11. Hoiles, William, Krishnamurthy, Vikram, and Aprem, Anup, “PAC algorithms for detecting Nash equilibrium play in social networks: from Twitter to energy markets,” IEEE Access, Vol. 4, 2016, pp. 8147-8161.
  12. Aprem, Anup, Murthy, Chandra R, and Mehta, Neelesh B, “Transmit power control policies for energy harvesting sensors with retransmissions,” IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 5, 2013, pp. 895-906.

Conferences and Workshops (Peer-Reviewed)

  1. Nandhini, K and Aprem, Anup, “Wasserstein Mechanism for Hiding Cognition in Metacognitive Radars: A Distribution Privacy Framework,” In 2025 IEEE Radar Conference (RadarConf25). 2025, pp. 1-6.
  2. Nandhini, K and Aprem, Anup, “Bayesian Non-Parametric Active Learning for Information Asymmetric ECCM in Cognitive Radar Electronic Warfare,” In 2025 IEEE International Radar Conference (RADAR). 2025, pp. 1-6.
  3. Jones, Naveen, Prakash, M Surya, and Aprem, Anup, “A Novel Low-Complexity Approach to Drowsiness detection Using One Bit Bayes Classifier,” In 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). 2024, pp. 58-65.
  4. Thomas, Ben, Sanjana, DV, Muraleedas, Sarangi, Nair, Vysakh Vinod, Karat, Nujoom Sageer, and Aprem, Anup, “Autonomous Intersection Management using Gated Recurrent Units,” In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). 2024, pp. 1-6.
  5. Ajay, Akshay, Amith, G, Kumar, Gokul S, Malavika, R, and Aprem, Anup, “A WGAN-GP Framework for SAR and Optical Remote Sensing Image Fusion,” In 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS). 2023, pp. 1-6.
  6. Irfana, PP, Anand, Resmy S, Aprem, Anup, Vishal, VP, Upendran, Shaj, and Harikrisnan, S, “An Economical Method for Modeling, Fabrication, Testing, and Characterization of a Bio-phantom for Pulmonary Edema,” In 2023 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE). 2023, pp. 1-8.
  7. Abburi, Kiran Kumar, Evani, Siva Subrahmanya, Thomas, Sajeev, and Aprem, Anup, “Reusable and scalable verification environment for memory controllers,” In Progress in VLSI Design and Test: 16th International Symposium, VDAT 2012, Shibpur, India, July 1-4, 2012. Proceedings. 2012, pp. 209-216.
  8. Aprem, Anup and Krishnamurthy, Vikram, “A data centric approach to utility change detection in online social media,” In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2017, pp. 3929-3933.
  9. Krishnamurthy, Vikram, Aprem, Anup, and Bhatt, Sujay, “Multiple stopping time POMDPs: Structural results,” In 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton). 2016, pp. 115-120.
  10. Aprem, Anup, Murthy, Chandra R, and Mehta, Neelesh B, “Transmit power control with ARQ in energy harvesting sensors: A decision-theoretic approach,” In 2012 IEEE Global Communications Conference (GLOBECOM). 2012, pp. 3388-3393.

2012

  1. Abburi, Kiran Kumar, Evani, Siva Subrahmanya, Thomas, Sajeev, and Aprem, Anup, “Reusable and scalable verification environment for memory controllers,” In Progress in VLSI Design and Test: 16th International Symposium, VDAT 2012, Shibpur, India, July 1-4, 2012. Proceedings. 2012, pp. 209-216.
  2. Aprem, Anup, Murthy, Chandra R, and Mehta, Neelesh B, “Transmit power control with ARQ in energy harvesting sensors: A decision-theoretic approach,” In 2012 IEEE Global Communications Conference (GLOBECOM). 2012, pp. 3388-3393.

2013

  1. Aprem, Anup, Murthy, Chandra R, and Mehta, Neelesh B, “Transmit power control policies for energy harvesting sensors with retransmissions,” IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 5, 2013, pp. 895-906.

2016

  1. Krishnamurthy, Vikram, Aprem, Anup, and Bhatt, Sujay, “Multiple stopping time POMDPs: Structural results,” In 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton). 2016, pp. 115-120.
  2. Aprem, Anup and Krishnamurthy, Vikram, “Utility change point detection in online social media: A revealed preference framework,” IEEE Transactions on Signal Processing, Vol. 65, No. 7, 2016, pp. 1869-1880.
  3. Hoiles, William, Krishnamurthy, Vikram, and Aprem, Anup, “PAC algorithms for detecting Nash equilibrium play in social networks: from Twitter to energy markets,” IEEE Access, Vol. 4, 2016, pp. 8147-8161.

2017

  1. Aprem, Anup, “Detection, estimation and control in online social media,” PhD thesis, University of British Columbia 2017.
  2. Aprem, Anup and Krishnamurthy, Vikram, “A data centric approach to utility change detection in online social media,” In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2017, pp. 3929-3933.
  3. Hoiles, William, Aprem, Anup, and Krishnamurthy, Vikram, “Engagement and popularity dynamics of YouTube videos and sensitivity to meta-data,” IEEE Transactions on Knowledge and Data Engineering, Vol. 29, No. 7, 2017, pp. 1426-1437.

2018

  1. Krishnamurthy, Vikram, Aprem, Anup, and Bhatt, Sujay, “Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media,” Automatica, Vol. 95, 2018, pp. 385-398.

2019

  1. Aprem, Anup and Roberts, Stephen, “A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback,” The Computer Journal, Vol. 12, 2019.

2021

  1. Aprem, Anup and Roberts, Stephen J, “Optimal pricing in black box producer-consumer Stackelberg games using revealed preference feedback,” Neurocomputing, Vol. 437, 2021, pp. 31-41.

2023

  1. CV, Anoop, Negi, Neeraj, and Aprem, Anup, “Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field,” arXiv preprint arXiv:2308.01013, 2023.
  2. Ajay, Akshay, Amith, G, Kumar, Gokul S, Malavika, R, and Aprem, Anup, “A WGAN-GP Framework for SAR and Optical Remote Sensing Image Fusion,” In 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS). 2023, pp. 1-6.
  3. Irfana, PP, Anand, Resmy S, Aprem, Anup, Vishal, VP, Upendran, Shaj, and Harikrisnan, S, “An Economical Method for Modeling, Fabrication, Testing, and Characterization of a Bio-phantom for Pulmonary Edema,” In 2023 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE). 2023, pp. 1-8.

2024

  1. Jones, Naveen, Prakash, M Surya, and Aprem, Anup, “A Novel Low-Complexity Approach to Drowsiness detection Using One Bit Bayes Classifier,” In 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). 2024, pp. 58-65.
  2. Thomas, Ben, Sanjana, DV, Muraleedas, Sarangi, Nair, Vysakh Vinod, Karat, Nujoom Sageer, and Aprem, Anup, “Autonomous Intersection Management using Gated Recurrent Units,” In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). 2024, pp. 1-6.
  3. Paul, Merlin and Aprem, Anup, “Monotonic agent policies in dynamic bayesian persuasion: Application to intelligent traffic routing,” Authorea Preprints, 2024.
  4. Anoop, CV and Aprem, Anup, “Detecting Changes in Strategy of a Cognitive Radar: a Stochastic Revealed Preference Framework,” Authorea Preprints, 2024.

2025

  1. Nandhini, K and Aprem, Anup, “Wasserstein Mechanism for Hiding Cognition in Metacognitive Radars: A Distribution Privacy Framework,” In 2025 IEEE Radar Conference (RadarConf25). 2025, pp. 1-6.
  2. Nandhini, K and Aprem, Anup, “Bayesian Non-Parametric Active Learning for Information Asymmetric ECCM in Cognitive Radar Electronic Warfare,” In 2025 IEEE International Radar Conference (RADAR). 2025, pp. 1-6.
  3. Anoop, CV and Aprem, Anup, “Bayesian Inverse Learning and Online Changepoint Detection of Cognitive Radar Strategies,” IEEE Transactions on Radar Systems, 2025.
  4. Anoop, CV, Negi, Neeraj, and Aprem, Anup, “Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory,” Expert Systems with Applications, Vol. 261, 2025, p. 125475.

Dissertation

  1. Aprem, Anup, “Detection, estimation and control in online social media,” PhD thesis, University of British Columbia 2017.

Recent Publications

  1. Nandhini, K and Aprem, Anup, “Wasserstein Mechanism for Hiding Cognition in Metacognitive Radars: A Distribution Privacy Framework,” In 2025 IEEE Radar Conference (RadarConf25). 2025, pp. 1-6.
  2. Nandhini, K and Aprem, Anup, “Bayesian Non-Parametric Active Learning for Information Asymmetric ECCM in Cognitive Radar Electronic Warfare,” In 2025 IEEE International Radar Conference (RADAR). 2025, pp. 1-6.
  3. Anoop, CV and Aprem, Anup, “Bayesian Inverse Learning and Online Changepoint Detection of Cognitive Radar Strategies,” IEEE Transactions on Radar Systems, 2025.
  4. Jones, Naveen, Prakash, M Surya, and Aprem, Anup, “A Novel Low-Complexity Approach to Drowsiness detection Using One Bit Bayes Classifier,” In 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). 2024, pp. 58-65.
  5. Anoop, CV, Negi, Neeraj, and Aprem, Anup, “Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory,” Expert Systems with Applications, Vol. 261, 2025, p. 125475.
  6. Thomas, Ben, Sanjana, DV, Muraleedas, Sarangi, Nair, Vysakh Vinod, Karat, Nujoom Sageer, and Aprem, Anup, “Autonomous Intersection Management using Gated Recurrent Units,” In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). 2024, pp. 1-6.
  7. Paul, Merlin and Aprem, Anup, “Monotonic agent policies in dynamic bayesian persuasion: Application to intelligent traffic routing,” Authorea Preprints, 2024.
  8. Anoop, CV and Aprem, Anup, “Detecting Changes in Strategy of a Cognitive Radar: a Stochastic Revealed Preference Framework,” Authorea Preprints, 2024.

talks

teaching