Ferat Sahin Headshot

Ferat Sahin

Department Head

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

5854752175
Office Location
Office Mailing Address
Kate Gleason College Of Engineering Electrical and Microelectronic Engineering Department Rm # 3031

Ferat Sahin

Department Head

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

Education

BS, Istanbul Technical University (Turkey); MS, Ph.D., Virginia Polytechnic Institute and State University

Bio

Dr. Ferat Sahin received his M.Sc. and Ph.D. degrees from Virginia Polytechnic Institute and State University.  In September 2000, he joined Rochester Institute of Technology, where he is a Professor and Department Head of Electrical and Microelectronics Engineering department.  He is also the director of Multi Agent Bio-Robotics Laboratory and Century Mold Collaborative Robotics Laboratory at RIT.  His current research interests are Collaborative Robotics, Human Compliant Robotics Systems, Deep Learning Approaches for Grasping, Machine Learning for Biosignals, System of Systems Simulation and Modeling, Machine Learning, Biological Signal Processing, Fault Analysis and Systemic Health Evaluation, Decision Theory, Distributed Multi-agent Systems, and Structural Bayesian Network Learning. Dr. Sahin has over 140 conference and journal publications in these research fields.  In addition, he is also the co-author of two books: “Experimental and Practical Robotics” and “Intelligent Control Systems with an Introduction to System of Systems Engineering” by CRC Press and seven book chapters. Dr. Sahin has received grants from government agencies and industrial companies for his research work. He has also brought significant funding through company gifts and outreach programs such as RoboCamps. During his time at RIT, he has brought over $2 Million to support his research and programs. 

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5854752175

Areas of Expertise

Select Scholarship

Journal Paper
Sahin, Ferat and Girish Chandrashekar. "A Survey on Feature Selection Methods." Computers & Electrical Engineering 40. 1 (2014): 16-28. Print.
Sahin, Ugur, Selman Uguz, and Ferat Sahin. "Salt and Pepper Noise Filtering with Fuzzy-cellular Automata." Computers & Electrical Engineering 40. 1 (2014): 59-69. Print.
Sahin, Ferat and Eduardo Cabal-Yepez. "Introduction to Special Issue on Image and Video Processing." Computers & Electrical Engineering 40. 3 (2014): 755-756. Print.
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Published Conference Proceedings
Cinar, Eyup and Ferat Sahin. "New Approach for Nanoindentation Using Multiprobe AFM System." Proceedings of the 14th IEEE International Conference on Nannotechnology (IEEE-NANO). Ed. IEEE. Toronto, Canada: IEEE, 2014. Print.
Phillips, Andrew and Ferat Sahin. "A Comparison of Chatter Attenuation Techniques Applied to a Twin Rotor Systems." Proceedings of the 2014 IEEE Systems, Man, and Cybernetics Conference. Ed. IEEE. San Diego, California: IEEE, 2014. Print.
Bowen, Ryan, et al. "Embedded One-class Classification on RF Generator Using Mixture of Gaussians." Proceedings of the 2014 IEEE Systems, Man, and Cybernetics Conference. Ed. IEEE. San Diego, California: IEEE, 2014. Print.
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Invited Keynote/Presentation
Sahin, Ferat. "A Novel Approach to Nanoindentation using Multiprobe AFM System." NanoPhotonics/MultiProbe Workshop. Nanonics Inc. Boston, MA. 22 Jul. 2014. Keynote Speech.
External Scholarly Fellowships/National Review Committee
7/1/2013 - 6/6/2014
     MKS ENI Inc.
     Amount: 29,907
7/1/2013 - 6/30/2014
     NYSTAR
     Amount: 60,611
6/1/2013 - 5/31/2014
     MKS ENI Inc.
     Amount: 48,674
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Currently Teaching

EEEE-499
0 Credits
One semester of paid work experience in electrical engineering.
EEEE-599
1 - 4 Credits
A supervised investigation within an electrical engineering area of student interest. Professional elective.
EEEE-784
3 Credits
This course explores advance topics in mobile robots and manipulators. Mobile robot navigation, path planning, room mapping, autonomous navigation are the main mobile robot topics. In addition, dynamic analysis of manipulators, forces and trajectory planning of manipulators, and novel methods for inverse kinematics and control of manipulators will also be explored. The pre-requisite for this course is Principles of Robotics. However, students would have better understanding of the topics if they had Control Systems and Mechatronics courses as well. The course will be a project based course requiring exploration of a novel area in Robotics and writing an IEEE conference level paper.
EEEE-785
0 Credits
EEEE-799
1 - 3 Credits
This course is used by students who plan to study a topic on an independent study basis. The student must obtain the permission of the appropriate faculty member before registering for the course.
ENGR-899
3 Credits
This course is used by students who plan to study a topic on an independent study basis. The student and instructor must prepare a plan of study and method of evaluation for approval by the program director prior to course registration.