Teaching
Teaching Experience – Dr. Sanjoy Mandal
Professor, Department of Electrical Engineering
Indian Institute of Technology (Indian School of Mines), Dhanbad.
Dr. Sanjoy Mandal has been actively engaged in teaching, mentoring, and curriculum development in the field of Electrical Engineering at IIT (ISM), Dhanbad, contributing to undergraduate, postgraduate, and doctoral education. His teaching emphasizes strong fundamentals, problem-solving skills, and research-oriented learning, with integration of modern tools, simulations, and case studies.
Prof. Mandal has delivered core and elective courses across various domains of Electrical Engineering, including:
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Control Systems: Classical and Modern Control, Digital Control, Advanced Control
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Instrumentation & Process Control: Digital Signal Processing, Industrial Instrumentation, Power Plant Instrumentation and Control.
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Emerging Topics: SCADA Systems, Photonics-based Sensors, Quantum Sensing Applications
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Teaching Innovations:
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Integrated MATLAB/Simulink, Python, and LabVIEW simulations into coursework for practical understanding.
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Developed laboratory modules on Instrumentation , Process Control , Electrical Measurement and Fiber-optic sensors.
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Supervised student projects on cutting-edge topics such as Fiber Loop Ring Down (FLRD) sensors, Integrated Photonics, AI-Integrated Control System design.
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Ph.D. Guidance: Successfully supervised several doctoral scholars in areas of Sensor development, Control System design and applications, Integrated Photonics.
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M.Tech/B.Tech Projects: Guided numerous theses and final-year projects on applied research and industry-oriented problems.
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Encouraged students to publish in IEEE Transactions, Elsevier, and Springer journals.
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Encourages student-driven innovation through design projects, hackathons, and collaborative research.
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Incorporates case studies from industry (power utilities, renewable energy projects, sensor technologies).
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Promotes interdisciplinary learning, aligning electrical engineering with ocean research, mining safety, and quantum sensing.
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Designed interdisciplinary electives bridging electrical engineering with photonics, quantum technology, and computational intelligence.