Talks

Selected Talks

  • Keynote Talk: Lets move beyond the AI noise, keynote talk at the 3rd International Conference on Recent Advances in Computer Science and Information Technology (RACSIT-2026), Lahore, invited by University of Education (upcoming). Conference link
  • Keynote Talk: Are we obsessed with AI? , keynote talk at the 2nd International Conference on the Evolution of Artificial Intelligence (ICEAI 2026), 13 October 2026. Hosted by UET Mardan. Conference link.
  • Short Talk: Weakly Conditioned Diffusion Models for Medical Imaging, talk at the INFORMED-AI Summer School, 15-18 June 2026, Bristol, United Kingdom.
  • Invited Talk: Generative AI for Medical Computer Vision, SICSA invited talk at SICSA seminar series, 30 April 2026. Hosted by SICSA, UK. More details here. The talk is available on SICSA Youtube channel Link here)
  • Seminar Talk: From Super-Resolution to Disease Transformation: A Bird’s-Eye View of Generative AI in Medical Imaging, at CSM Monthly seminar series, 3 October 2025. Hosted by CSM, The University of Stirling, UK.
  • Short Talk: From Pixels to Procedures: Structured Surgical Understanding via Multimodal Large Language Models, at the UK Multimodal AI Workshop in London, 17 September 2025. Talk video on UKOMAIN Youtube
  • Invited Talk: Safeguarding Academic Integrity in the age of Generative AI, at the International Two-Day Conference on The Evolution of AI: Myths, Threats, Opportunities and the Future for HEIs, hosted by University of Engineering and Technology Mardan, 13-14 September 2025. (invited by Vice Chancellor, UET Mardan) Slides available here
  • Contributed Talk: Rethinking Assessments, at the CoCoNet workshop, hosted by Prof. Steve Riddle and Dr. Mark Zarb, University of Newcastle, 25 April 2025. Slides available here
  • Invited Talk: Revisiting the Pitfalls in AI, hosted by SID Lab, University of Engineering and Technology Peshawar, 18 December 2024. See here and here. Slides available here
  • Invited Talk: Beware of Generative AI in Healthcare Journalism, at Tomorrow’s News at Risk: Generative AI and Journalism event, University of Stirling, UK, 21 November 2024. Slides available here
  • Invited Talk: Can AI generate medical image data with clinical value?, at Recent Advances in Computer Science & Information Technology (RACSIT 2024), Lahore, Pakistan, 05 March 2024.
  • Seminar Talk: Generating Data for Medical AI – Beyond the Hype, at Graduate Health Informatics Seminar, hosted by Prof. Mowafa Househ, HBKU, Qatar, 31 August 2022.
  • Invited Talk: Deep Learning in Musculoskeletal Ultrasound Images, at the Health Informatics Seminar Series, St. John University, USA, 27 September 2021.
  • Discover Pakistan in 20 Minutes, at the annual planning days meeting of MT-FoU, Umea University, Sweden, October 2020.
  • Seminar Talk: Medical Image Data Augmentation using GANs, at Medicinsk Teknik FoU, Umea University, Sweden, hosted by AI @ MT-FoU Seminar Series, 27 May 2020. Slides available here
  • Seminar Talk: Generative Adversarial Networks and Medical Imaging, at Medicinsk Teknik FoU, Umea University, Sweden, hosted by Dr. Christer Gronlund, January 2020.
  • Invited Talk: Deep Learning and the Rise of AI, at the International Conference on Computational Science and Technologies (INCCST 2019), Mehran UET Jamshoro, 10–12 April 2019.
  • Workshop Talk: Lead coordinator and resource person for LaTeX Document Compilation Workshop, a one-day training workshop on LaTeX document compilation, 4 May 2018, at COMSATS Abbottabad. Selected slides available here
  • Contributed Talk: Presented paper on Urdu Speech Recognition at EANN 2016, Aberdeen, UK.
  • Workshop: Lead organizer and resource person for a two-day Machine Learning Workshop, 3–4 May 2016. Details available at: mlworkshop.weebly.com, organized by IEEE Student Section CIIT Abbottabad and the Electrical Engineering Department CIIT Abbottabad.
  • Invited Talk: Deep Learning and Speech Processing, at the 2014 International Conference on Cyberspace Technology (CCT2014), Enshi, China, November 2014. Slides link
  • Invited Talk: Deep Learning for Audio Data – An Introduction, for graduate students of Software Engineering of USTB, China, and BTH, Sweden, 28 October 2014. slides link or slides link 2
  • Talk: Hybrid Features Combination for Audio Data Classification, at Machine Learning Group Reading, City University London, UK, April 2014. Slides link