Team / Dr. Seyed Sajad AHMADPOUR
Dr. Seyed Sajad AHMADPOUR

Dr. Seyed Sajad AHMADPOUR

Assistant Professor
Dr. Ahmadpour is a distinguished researcher and assistant professor who specializes in nanoelectronic circuit design and quantum computing. Recognized in the "World's Top 2% Scientists" list by Stanford University (2022–2025), Dr. Ahmadpour is a senior member of IEEE with over a decade of experience in developing ultra-efficient, fault-tolerant architectures for next-generation computing.
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Education

  • Faculty Member of Computer Engineering: Istanbul Atlas University, Istanbul, Turkey (2026–Present).
  • Post-doctorate in Computer Engineering: Kadir Has University, Istanbul, Turkey (Nov 2022–2025).
  • Ph.D. in Computer Architecture Engineering: Islamic Azad University (Sep 2015–Sep 2020).
  • Thesis: The development and implementation of a fault-tolerant arithmetic logic unit (ALU) at the Nano-scale.
  • Master's Degree in Computer Architecture Engineering: Islamic Azad University (2013–2016).
  • Thesis: Surveying users about the Geneva Agreement based on social network analysis using NodeXL software. 
  • Bachelor's Degree in Computer Software Engineering: Islamic Azad University (2011–2013).
    Thesis:  Impact of social networking on market participation 

Experience

Assistant Professor: Istanbul Atlas University, Turkey (2026–Ongoing).

Instructor: Kadir Has University, Istanbul, Turkey (2024–2025).

Postdoctoral Researcher: Kadir Has University, Istanbul, Turkey (2022–Present). Focused on the development of ultra-efficient and fault-tolerant nano-scale digital circuits for quantum computing, a project granted by TÜBİTAK.

Teaching Assistant:

  • Kadir Has University (2022–2024).
  • Islamic Azad University (2020–2021).

Skills

• Leadership & Academic Skills: Experience in research team leadership, proposal writing for successful grant applications, and supervising/mentoring over 11 postgraduate (Ph.D. and Master's) students.

• Supervision (At least 7 Ph.D. and 4 master's students) 

• Mentorship (Undergraduate and postgraduate projects) 

• Proposal writing (Successful grant applications) 

• An expert in designing quantum reversible logic circuits based on RevKit 3.1, SiQAD and QCADesigner 2.0.3 tools 

• An expert in designing quantum computing circuits based on powerful IBM simulation (Qiskit tool) 

• Expert in MATLAB tools

• Core Research Areas: Nanoscale design, quantum-dot cellular automata (QCA), atomic silicon quantum dots, reversible logic, and ternary quantum dots.




 

Publications

Selected research outputs and links.
Design and Noise-Aware Validation of a Testable Dual-Edge Triggered Reversible D Flip-Flop Using IBM Quantum Qiskit Simulation
Integration • 2026
DOI Link
High-performance and low-power quantum-dot-based multiply–accumulate design for next-generation supercomputing platforms
The Journal of Supercomputing • 2026
DOI Link
Energy-efficient code conversion using quantum-dot nano-architectures for Internet of Things (IoT) applications
The Journal of Supercomputing • 2026
DOI Link
Novel designs of fault-tolerant nano-scale circuits for digital signal processing using quantum dot technology
Integration • 2026
DOI Link
A nano-design of image masking and steganography structure based on quantum technology
Journal of Information Security and Applications • 2025
DOI Link
A nano-scale quantum-dot multiplexer architecture for logic units in internet of things healthcare systems
Nano Communication Networks • 2025
DOI Link
A new fault-tolerance majority voter circuit for quantum-based nano-scale digital systems
Journal of Computational Electronics • 2025
DOI Link
Hybrid CMNV2: DeepFake faces classification and recognition using deep learning methods
Results in Engineering • 2025
DOI Link
Design and simulation of a low-energy atomic silicon quantum-dot circuit with potential in internet of things applications
Scientific Reports • 2025
DOI Link
A new design of arithmetic and logic unit for enhancing the security of future internet of things devices using quantum-dot technology
Engineering Applications of Artificial Intelligence • 2024
DOI Link

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