Dr. Mohsin Sajjad is currently serving as an Assistant Professor in the Department of Electrical and Computer Engineering at North South University, Bangladesh. He completed his B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET), Bangladesh. Dr. Sajjad later earned his Ph.D. from the University of South Carolina, USA, with a fully funded scholarship. His doctoral research focused on device fabrication techniques, sensor development, and the integration of advanced materials for next-generation sensor systems with applications in biomedical imaging, nuclear proliferation monitoring, and space exploration.

Dr. Sajjad has an interdisciplinary research background, with expertise including micro and nano-fabrication processes, biosensors, radiation detectors, solar cells, and environmental sensors. His research interests cross over into power electronics, robotics, and UAVs (unmanned aerial vehicles), enabling him to be closely tuned to the latest in technology innovation.

Dr. Sajjad has received multiple national and international awards in recognition of his research excellence. Among his notable achievements, he was awarded the prestigious SPARC Research Grant from the United States, which supported his pioneering work in advanced sensor technologies. In addition, he received a Graduate Research Grant from the University of South Carolina, and his research papers have been recognized with Best Paper Awards at international conferences. Dr. Sajjad’s research contributions have been widely published in multiple high-impact international journals and leading conferences organized by IEEE and SPIE, reflecting his strong presence in the global scientific community.

At North South University, he is actively engaged in various research works on  Machine Learning, Robotics, Hardware security and Semiconductor Physics. In 2025, He has received Higher Education Acceleration and Transformation (HEAT) Project Grant from the University Grants Commission (UGC) of Bangladesh on M^2 FabPro Lab = Micro x Macro Fabrication and Prototyping Lab as Co-PI.

• Artificial Intelligence & Robotics
• Embedded Systems and Internet of Things (IoT)
• Semiconductor Device and Technology
• Signals and Image Processing

Artificial Intelligence driven Robotics, Machine learning, Hardware Security, and Semiconductor Device

• EEE 512 Solid State Electronics
• EEE 410 Semiconductor Devices and Technology
• EEE311/ ETE311 Analog Electronics II
• EEE 311L/ETE 311L Analog Electronics II Lab
• CSE 331 Microprocessor Interfacing & Embedded System
• CSE 331L Microprocessor Interfacing & Embedded System Lab
• EEE 111/ ETE 111 Analog Electronics-I
• EEE 111L/ ETE 111L Analog Electronics-I Lab
• EEE 141 Electrical Circuits I
• EEE 141L Electrical Circuits I Lab
• EEE 299 Junior Design Project I
• CSE499A/EEE499A/ETE499A – Senior Design I

1. Refat, R. Asek, A. F. H. Dhrubo, M. A. Khan, M. A. Qayum, and M. Sajjad, “PostureAware: A Novel AI System for Pain Assessment Among Textile Workers,” in 2026 30th International Conference on Methods and Models in Automation and Robotics (MMAR), 2026.
2. H. Rakebb, R. B. D. Mujahid, M. A. Islam, S. Pramanik, A. F. H. Dhrubo, M. A. Qayum, M. Sajjad, and M. A. Khan, “Quantum-Enhanced Fine-Grained Hematologic Cell Classification: a Hybrid ResNet18 Architecture with Adjoint-Differentiable Variational Quantum Heads,” in 2026 30th International Conference on Methods and Models in Automation and Robotics (MMAR), 2026.
3. H. Provat, S. M. Abyad, S. M. R. R. Antu, S. Pramanik, A. F. H. Dhrubo, M. A. Qayum, and M. Sajjad, “Decentralizing Reputation Scoring Using Blockchain Behavioral Data and Machine Learning,” in 2026 30th International Conference on Methods and Models in Automation and Robotics (MMAR), 2026.
4. Islam, M. J. B. Aziz, M. E. Hossain, Q. M. M. Mahtab, A. F. H. Dhrubo, S. Pramanik, R. Jesmin, and M. Sajjad, “From Soil Sensing to Agronomic Decisions: an Explainable IoT Framework for Crop Suitability and Nutrient Recommendation,” in 2026 30th International Conference on Methods and Models in Automation and Robotics (MMAR), 2026.
5. M. Chowdhury et al., “Advancing Sentiment Analysis with BERT: A Comparative Evaluation Against Machine Learning and Deep Learning Techniques,” Proceedings of the 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Systems (2026).
6. M. Abyad et al., “Leveraging Vision-Language Models for Movie Genre Prediction: A Comparative Analysis of BLIP, CLIP, ViLT, and FLaVA,” Proceedings of the 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Systems (2026).
7. Sandeep K. Chaudhuri, Mohsin Sajjad, Joshua W. Kleppinger, and Krishna C. Mandal, ‘Real-Time Pulse Height Spectroscopy Using Cd0.9Zn0.1Te Coplanar Grid Digital Spectrometer,’ Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2020.
8. Mohsin Sajjad, Sandeep K. Chaudhuri, Joshua W. Kleppinger, Omer Faruk Karadavut, Krishna C. Mandal, ‘Investigation on Cd0.9Zn0.1Te1-ySey single crystals grown by vertical Bridgman technique for high-energy gamma radiation detectors,’ Proc. SPIE, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXII, 114941F, 2020.
9. Mohsin Sajjad, Joshua W. Kleppinger, and Krishna C. Mandal, ‘Crystal growth, characterization, and fabrication of Cd0.9Zn0.1Te monolithic pixelated detectors for high-energy gamma-ray,’ Proc. SPIE, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXII, 111141T-1-12, 2019.
10. Krishna C. Mandal, Joshua W. Kleppinger, Mohsin Sajjad, ‘4H-SiC epitaxial Schottky detectors: deep-level transient spectroscopy (DLTS) and pulse height spectroscopy (PHS) measurements,’ Proc. SPIE, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXII, 111140N-1-9, 2019.

1. Featured project in 2026 National Semiconductor Symposium & BEAR Summit as one of the Featured Innovations.

1. Support to Promote Advancement of Research and Creativity, or “SPARC” Research Grant, USA, “Development of a portable system using pixelated CdZnTe-based semiconductor radiation detectors for brain imaging”, 2020.

2. Higher Education Acceleration and Transformation (HEAT) Project Grant as Co-PI, University Grants Commission, BD, “Establishment of “M^2 FabPro Lab = Micro x Macro Fabrication and Prototyping Lab for Breakthrough Research and Innovation at North South University”, 2025.

3. CTRG Research Grant, North South University, BD, “Towards Secure and Efficient IoT: Lightweight Cryptography Benchmarking with Low-Cost Side-Channel Attack Analysis”, 2025.

MIEEE- Member of Institute of Electrical and Electronics Engineers (IEEE)

MAPS- Member of American Physical Society

1. Course coordinator of EEE 311 (2025), EEE 111 (2025)
2. Interim Department of ECE Lab Coordinator, May-June 2026
3. BAETE visit NSU ECE Committee member, 2024
4. Department of ECE Biomedical Engineering (proposed) Curriculum Committee Member 2025