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Faculty Profile

Sreedeep Krishnan

Associate Professor (Pursuing PhD)

Sreedeep Krishnan is currently an Associate Professor at the Department of Robotics and Automation Engineering. He has more than 12 years of teaching experience and a few years of core industrial experience. He is associated with the Adi Shankara Institute of Engineering and Technology since June 2011. Over that period, he has worked in various capacities as Head of the Department of Robotics and Automation, Assistant Professor in Applied Electronics and Instrumentation, First-year Hostel Warden, staff in charge of many Professional bodies, in charge of various institutional cells, etc.

Sreedeep Krishnan started his journey of technical education in the year 2000 with an engineering Diploma in Applied Electronics. He took his Engineering Degree in Applied Electronics and Instrumentation Engineering from M G University in the year 2007. He completed his Master’s degree in Power Electronics and Drives from Anna University in the year 2011. He is currently pursuing PhD in the area "Field Robotics in Agriculture" from the Kalasalingam Academy of Research and Education, Tamilnadu.

Prof. Sreedeep Krishnan’s research areas are Power Electronics, Industrial Automation Robotics, Artificial Intelligence applications in agriculture, etc. He has published many research papers in various reputed international journals and conferences. His current projects include Collaborative robots, vision systems in agriculture and the application of machine learning techniques in field robots. In addition, he mentored more than 25 academic projects during his teaching carrier. Also, he has organized conferences, FDPs and workshops demonstrating his leadership and organizational skills.
His Professional affiliations include the International Society of Automation (ISA), the Robotics Society of India, and the Instrumentation society of India.

Contact

Sreedeep Krishnan
Associate Professor, Department of Robotics and Automation
Adi Shankara Institute of Engineering and Technology
Vidhya Bharati Nagar, Mattoor Road, Kalady, Ernakulam district, Kerala-683574

Email: sreedeep.ra@adishankara.ac.in
Phone: +91-484-2463825

Qualification details

(PhD)	Kalasalingam Academy of Research and Education	Pursuing
M.Tech	ANNA UNIVERSITY	2011
B.Tech	MG UNIVERSITY	2007
Eng. Diploma	IHRD	2003

Utilizing deep learning via computer vision for agricultural production quality control: jackfruit growth stage identification,Engineering Research Express,Vol 6, Issue 3, 2024
Revolutionizing agriculture: a comprehensive review of agribots, machine learning, and deep learning in meeting global food demands,Engineering Research Express,Vol 6, Issue 3, 2024
Comparitive Analysis of Deep Learning Techniques for Assistive Soft Wearable Robots,2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), 2023
Computer Vision-based Advanced Valve Positioner, IEEE Xplore, 18 October 2022
ECG Based Stress Detection Using Machine Learning, IEEE Xplore, 01 July 2022
Video-Based Person Re-Identification using Semi-Coupled Dictionary Learning with Relaxation Label Space Transformation, ISBN : 978-93-92105-03-6, IFERP Explore, Copyright 2022, IFERP-International Conference
Eco-Friendly Regenerative Burners: Global Effects & Significance International Journal of Aquatic Science ISSN: 2008-8019 Volume 12, Issue 02, 2021
Vehicular Adaptive Cruise Control Using Laguerre Functions Model Predictive Control International Journal of Engineering and Technology (IJET), e-ISSN: 0975-4024 p-ISSN: 2319-8613
Remote power control of petroleum pumping stations (IOSR-JEEE, e-ISSN: 2278-1676,p-ISSN: 2320-3331, PP 22-25)
Vehicle Dynamics and Drive Control for Adaptive Cruise Vehicles International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 12 | Dec-2017
An intelligent traffic control system using PLC& SCADA (National conference on "Emerging Trends in Electronics and Communication Engineering")
Remote laboratory platform for PLC training based on CoDeSys and LabVIEW (ISOI NSI-40) Kumara guru college of Technology, Coimbatore, Tamilnadu.
Remote Laboratory platform for industrial-based training with programmable logic controllers (National conference on “Recent Trends in Power Electronics and Drives”) Oddanchatram, Tamilnadu.
Remote Laboratory platform for industrial-based training based on programmable logic controllers (PCTCON’11), PSNACET, Dindigul, Tamilnadu.
The smart aero pond system. (PAPER: 98) International Multi-Conference on Computing, Communication, Electrical & Nanotechnology (I2CN-2K18) Mangalam College of Engineering, Kottayam. Kerala.

Prof. Sreedeep Krishnan’s research areas are Power Electronics, Industrial Automation Robotics, Artificial Intelligence applications in agriculture, etc. He has published many research papers in various reputed international journals and conferences. His current projects include Collaborative robots, vision systems in agriculture and the application of machine learning techniques in field robots.

Industrial projects

Power control for MOVs in valve stations for petroleum pumping- PETRONET CCK Ltd, BPCL COCHIN
Programming and commissioning Punching Machine at Baker Gauges India Ltd, Pune in Mitsubishi (Fx 2N, Fx 0N and Fx 0S) PLCs.
Programming, installation and commissioning of Allen Bradley PLC (SLC-503) & Xycom HMI in Emerson Climate Technologies, Sathara, Maharashtra.
Troubleshooting and re-programming of Mitsubishi PLC-based control panel at ACS, Pune.
Programming and commissioning of VFD and Messung PLC-based control panel at ACS, Pune

Academic Projects Guided

COBOT
Advanced valve positioner
Automated Aeration System for Ponds in Rural Areas.
Remote power control for pumping station of petroleum products using PLC & SCADA.
Smart vertical farming using hydroponics.
Smart aquarium.
Monitoring and controlling of neonatal incubator using PLC.
A fully automatic bottle-filling system using PLC.
Fully automatic Traffic density control using PLC.
LPG Gas Monitoring System.
Advanced conveyor control
Solar-powered smart aquaponics system with automated feeding and global monitoring facility.
Automatic livestock farm cleanser
Automatic seed planting robot
Google-assisted automatic indicator for vehicles.