User:Ismii

Muhammad Ismail is a researcher and technical specialist at the University of Peshawar, Pakistan. His work combines computer vision, intelligent embedded systems, scientific instrumentation, robotics, and electromechanical design. He has more than 15 years of hands-on experience designing, fabricating, troubleshooting, and deploying research-grade instruments using locally available and cost-effective components.

His main interest is translating theoretical models and laboratory requirements into practical hardware, firmware, sensing, and control systems. He also supports multidisciplinary research and trains students in experimental, computational, and prototyping methods.

Muhammad Ismail has served as Lab Specialist and Technical Lead at the Materials Research Laboratory, University of Peshawar, since 2009. His responsibilities include developing custom research equipment, integrating embedded systems into scientific instruments, supporting physics and engineering research, and supervising students.

From 2020 to 2022, he was a visiting lecturer at Islamia College University Peshawar, where he taught Digital Image Processing, Machine Learning, and Python Programming.

His education includes:

• MS in Computer Science (2021), CGPA 3.7/4.0. Thesis: An Efficient and Precise Multi-View Based 3D Reconstruction for Real-World Applications.
• BS in Computer Science (2014). Final project: Arduino-based temperature control system.
• Diploma of Associate Engineering in Mechanical Technology (2007), First Division.

• Computer vision and digital image processing
• Multi-view geometry, stereo vision, and 3D reconstruction
• Human action recognition and face recognition
• Embedded systems and real-time firmware
• Robotics and intelligent sensor systems
• Open-source and locally manufacturable scientific equipment
• Renewable-energy instrumentation, solar inverters, and battery testing
• Electromechanical system design, CNC, and 3D printing

Developed a low-cost digital spin coater for thin-film deposition with HMI control, closed-loop PID speed regulation, programmable acceleration and deceleration ramps, and an operating range of approximately 500-10,000 RPM. The system is intended for repeatable coating work in solar-cell, sensor, materials-science, and nanotechnology laboratories.

Designed a compact sun photometer for atmospheric measurements using red and green LEDs as wavelength-selective detectors. The instrument integrates automated two-axis solar tracking, embedded data acquisition, and control, providing a locally developed alternative for aerosol optical-depth research and environmental monitoring.

Developed a microcontroller-controlled injection pump for biomedical and laboratory applications, with an HMI and programmable delivery control for precise fluid handling.

Developing an automated battery analyzer for measuring voltage, current, energy, capacity, charging and discharging behavior, degradation, and battery health in real time.

Designed and built an adjustable 1-50 kV power supply for electrospinning using a flyback-transformer topology and locally available components. The system has been used for more than four years in nanofiber fabrication work.

Projects include solar-inverter firmware and diagnostics, an ESP32-based TFT display upgrade that decodes data from an existing inverter controller, power-monitoring instruments, a portable solar-panel I-V tester, and an RTC-controlled solar-panel washing timer.

Developed multiple generations of laboratory temperature controllers, including ramp-hold-cool profiles and a multi-step PID controller for experiments requiring repeatable thermal programs.

Designed and fabricated a compact horizontal ball mill with adjustable speed and a load capacity of approximately 3 kg, as well as a mini high-speed centrifuge with a target speed of 10,000 RPM.

Developed systems for real-time face recognition and attendance, deep-learning-based human action recognition for robotic environments, and stereo multi-view 3D reconstruction for depth estimation in noisy real-world scenes.

• Pak-Turk Research Mobility Program (HEC and TÜBİTAK), 2020-2021: A Smart Application of Deep Learning for Robot-Based Human Action Recognition.
• Pakistan Science Foundation, 2024: development of a programmable precision injection pump and a digital spin coater for thin-film deposition.

• Muhammad Ismail et al. Study of Structure, Microstructure and Charge Dynamics in Sn4+ Modified Ba(Zn1/3Snx/3Nb2-x/3)O3 Ceramics. Ceramics International, 2026. https://doi.org/10.1016/j.ceramint.2026.06.203
• A New Student Attendance System Using Face Recognition in the Classroom. Fourth International Conference on Data Science and Applications (ICONDATA 2021), Turkey, 4-6 June 2021.

• Programming: Python, C++, MATLAB, embedded C, OpenCV, LabVIEW
• Embedded platforms: Arduino, ESP32, and Microchip microcontrollers
• Hardware: sensor integration, signal processing, PCB troubleshooting, reverse engineering, oscilloscopes, electronics diagnostics, and power electronics
• Design and fabrication: FreeCAD, 3D printing, CNC, lathe, milling, and hardware prototyping
• Laboratory methods: SEM sample preparation, XRD, FTIR, UV spectroscopy, electrical and thermal characterization, electrospinning, and thin-film processing

Current projects include a programmable injection pump with HMI, portable solar-panel I-V tester, automated battery-capacity and health analyzer, and a 10,000 RPM mini centrifuge.