Publications & Presentations

Conference Papers

• Context-Aware Neural FIR Parameter Prediction for OTFS-Based Non-Stationary Wireless Channels
  N. Adasi (co-author). 2026 IEEE 10th International Conference on Adaptive Science and Technology (ICAST), Accra, Ghana, 22–24 October 2026.
  Presented · not yet publishedWirelessOTFS
• FPGA-Based FFT Hardware Accelerator for Blur Detection and Image Deconvolution in UAV Surveillance
  S. Agudu, S. Armah and N. Adasi. 2026 Interdisciplinary Conference on Electrics and Computer (INTCEC), Chicago, USA, 24–25 September 2026.
  Presented · not yet publishedFPGASignal Processing

Journal Articles

• Signal Processing for AI Privacy in Machine Learning: Input-First Quantization-Based Training Technique
  N. Adasi. Presented orally at BCUR 2026, Glasgow, and submitted to Grounding (BCUR journal) on invitation. Abstract
  SubmittedPrivacyMachine Learning
• Machine Learning-Based Electronic Scarecrow for Autonomous Agricultural Yield Protection
  N. Adasi. Presented orally at BCUR 2026, Glasgow, and submitted to Grounding (BCUR journal) on invitation. Abstract
  SubmittedEdge AIAgritech
• Design and Implementation of a Three-Phase Automatic Changeover Switch Using CAD Electrical Simulation
  A. Afriyie, E. Aho, D. Kuuchi, W. Osei and N. Adasi. Ashesi University Journal of Student Research and Development (SEED), vol. 1, 2024. Article
  PublishedPower Systems

Presentations

• British Conference of Undergraduate Research (BCUR 2026), Glasgow, UK
  Two oral presentations: “Signal Processing for AI Privacy in Machine Learning” and “Machine Learning-Based Electronic Scarecrows for Protecting Agricultural Yields.” Travel sponsored by Ashesi University.
  Presented
• Council on Undergraduate Research (CUR 2026), Richmond, Virginia, USA
  Accepted: “Assessing the Quality of Treated Drinking Water in Galamsey-Affected Areas in Ghana” and “The Role of Climate Finance in Developing Countries: Multilateral and Blended Climate Finance for Adaptation in Africa.”
  Accepted
• National Conference on Undergraduate Research (NCUR 2024), Long Beach, California, USA
  Accepted: “Machine Learning-Based IoT Design of an Electronic Scarecrow.”
  Accepted