Abdul Hannan Adil
NUST
· 2026
·
407165
Email
aadil.bee22seecs@seecs.edu.pk
Phone
03157233303
GitHub
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Academic
Program
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CGPA
2.59
Year
2026
Education
BE Electrical & Electronics Engineering
SEECS , Islamabad (2026)
Address
H - C 15, AERO Officers Colony, Lab Thatto, Hazara Road, Hassan Abdal , Hassan abdal , Pakistan
DOB
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Career
Current role
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Target role
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Skills
PROFESSIONAL PROFILE
Electrical Engineering undergraduate with strong hands-on experience in processor microarchitecture, FPGA-based system design,
and hardware implementation of cryptographic algorithms. Proven capability in designing and verifying RISC-V processors (single-
cycle and pipelined), integrating SoC components, and developing secure hardware accelerators for post-quantum IoT applications.
Currently serving as an Undergraduate Research Assistant, working on high-performance, area-efficient implementations of Post
Quantum Cryptographic Algorithm with a focus on throughput optimization and side-channel security. Demonstrates practical
problem-solving ability, continuous learning, and a research-driven approach to digital system and processor-level security design.
To continue my passion and contribute to open source, I have a Github repository, below is my attached Github Repositry.
https://github.com/abdulhannanadil
EDUCATION
BE Electrical & Electronics Engineering
SEECS , Islamabad (2026)
INTERNSHIP EXPERIENCE
LT Engineering
12-Aug-2024 - 12-Sep-2025
During my 4 weeks internship at LT Engineering, Fiber-Optic Cable Manufacturing Company, I learned following things: 1.
Harnessing and lathing its importance and how it's done. 2. Fiber Optical Cable Manufacturing 3. Fiber Testing 4. HVAC Systems
Research Assistant at Systems on Chip Lab
01-Jul-2025 - 01-Jun-2026
As a research assistant I am currently working and researching on: - Post Quantum Cryptographic Algorithm for IoT - Implementation
of Hardware Accelerator for Post Quantum Cryptographic Algorithm for IoT - Making the Hardware Accelerator secure from Side
Channel Attacks
FINAL YEAR PROJECT
Ascon - 128 Cryptographic Engine on STM 32
Tools: Embedded C, STM32CubeIDE, STM32F429 - Implemented the Ascon -128 A authenticated encryption algorithm in C and
ported it to an STM32F429 microcontroller - Adapted the reference implementation for embedded constraints, focusing on memory
efficiency and execution correctness - Integrated encryption and decryption routines with on-board peripherals to demonstrate real-
time operation - Validated functional correctness through test vectors and live input/output visualization on the LCD interface -
Analyzed execution behavior and resource usage to ensure suitability for constrained embedded environments
Digital Twin Based Side-Channel Attack Prediction System using CNN
In this project, I created a digital twin environment for obtaining, the Realtime dataset for Side Channel Attack. For this we used
Rainbow Side Channel Attack prediction software, linked it with our Ascon - 128 A implementations, and created a digital twin to
recover the key. If the key was recovered it was assigned a zero label and if it was unable to recover the key it was assigned one.
Then using the CNN, we predicted that the given code is Side Channel Attack resistant or not.
Secure Hardware Accelerator for Post-Quantum IoT
Designed and optimized a hardware accelerator for the Ascon -128 authenticated encryption algorithm targeting resource-constrained
AI enrichment
Electrical Engineering undergraduate with strong hands-on experience in processor microarchitecture, FPGA-based system design,
and hardware implementation of cryptographic algorithms. Proven capability in designing and verifying RISC-V processors (single-
cycle and pipelined), integrating SoC components, and developing secure hardware accelerators for post-quantum IoT applications.
Currently serving as an Undergraduate Research Assistant, working on high-performance, area-efficient implementations of Post
Quantum Cryptographic Algorithm with a focus on throughput optimization and side-channel security. Demonstrates practical
problem-solving ability, continuous learning, and a research-driven approach to digital system and processor-level security design.
To continue my passion and contribute to open source, I have a Github repository, below is my attached Github Repositry.
https://github.com/abdulhannanadil
Status: ai_done
Provenance
Source file: —Created: 1777448793