Sohail Dianat Headshot

Sohail Dianat

Department Head
Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

Office Location
Office Mailing Address

Sohail Dianat

Department Head
Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering


BS, Aria-Mehr University of Technology (Iran); MS, Ph.D., George Washington University


Dr. Sohail A. Dianat received a B.S. degree in Electrical Engineering from the Arya-Mehr University of Technology in Tehran, Iran and his M.S. and D.Sc. degrees in Electrical Engineering from the George Washington University. In September 1981, he joined the Rochester Institute of Technology, where he is currently a professor of Electrical Engineering and Imaging Science. Dr. Dianat has taught an assortment of undergraduate and graduate courses in the areas of digital signal/image processing and digital communication. Dr. Dianat received the "best unclassified paper award" at the 1993 Annual IEEE Military Communication Conference (MILCOM '93). His current research interests include digital signal/image processing and wireless communication.

He holds thirteen patents in the field of control for digital printing. He is a senior member of the Institute of Electrical and Electronic Engineers and a member of the IEEE Signal Processing & Communication Society. He is a Fellow of SPIE: The International Society for Optical Engineering. He has served as associate editor for the IEEE Transaction on Image Processing. Dr. Dianat was the organizer and co-chairman of the Fifth IEEE Signal Processing Society's Workshop on Spectrum Estimation and Modeling held in Rochester, New York in October 1990. He has served as a technical program committee member for ICIP 2003. Dr. Dianat has served as chair for the track on Wireless Sensing, Localization, and Processing at the SPIE Defense and Security Symposium conferences held in Orlando, Florida from 2000-2012. He has served as Finance Chair of ICIP2013. He is currently serving as a technical committee member on Industry DSP Technology. He has numerous publications and patents in the fields of signal/image processing and digital communications.

For more about Dr. Dianat see his website.


Currently Teaching

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.
0 Credits
One semester of paid work experience in electrical engineering.
1 - 4 Credits
A supervised investigation within an electrical engineering area of student interest. Professional elective.
0 Credits
One semester of full-time, paid employment in the electrical engineering field. See the graduate program coordinator or RIT's Office of Cooperative Education for further details.
3 Credits
This course introduces students to the study of linear continuous-time classical control systems, their behavior, design, and use in augmenting engineering system performance. The course is based on classical control methods using Laplace-transforms, block-diagrams, root-locus, and frequency-domain analysis. Topics include: Laplace-transform review; Bode plot review; system modeling for control; relationships of transfer-function poles and zeros to time-response behaviors; stability analysis; steady-state error, error constants, and error specification; feedback control properties; relationships between stability margins and transient behavior; lead, lag, and PID control; root-locus analysis and design; frequency-response design and Nyquist stability. A laboratory will provide students with hands-on analysis and design-build-test experience, and includes the use of computer-aided design software such as MATLAB.
1 - 6 Credits
An independent engineering project or research problem to demonstrate professional maturity. A formal written thesis and an oral defense are required. The student must obtain the approval of an appropriate faculty member to guide the thesis before registering for the thesis. A thesis may be used to earn a maximum of 6 credits.
3 Credits
Advanced Engineering Mathematics provides the foundations for complex functions, vector calculus and advanced linear algebra and its applications in analyzing and solving a variety of electrical engineering problems especially in the areas of control, circuit analysis, communication, and signal/image processing. Topics include: complex functions, complex integration, special matrices, vector spaces and subspaces, the nullspace, projection and subspaces, matrix factorization, eigenvalues and eigenvectors, matrix diagonalization, singular value decomposition (SVD), functions of matrices, matrix polynomials and Cayley-Hamilton theorem, state-space modeling, optimization techniques, least squares technique, total least squares, and numerical techniques. Electrical engineering applications will be discussed throughout the course.
3 Credits
This course trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. An intensive review of linear and nonlinear ordinary differential equations and Laplace transforms is provided. Laplace transform methods are extended to boundary-value problems and applications to control theory are discussed. Problem solving efficiency is stressed, and to this end, the utility of various available techniques are contrasted. The frequency response of ordinary differential equations is discussed extensively. Applications of linear algebra are examined, including the use of eigenvalue analysis in the solution of linear systems and in multivariate optimization. An introduction to Fourier analysis is also provided.
3 Credits
Fundamental principles of electric machines are covered. Sensors and actuators are studied. The primary actuators discussed are high-performance electromechanical motion devices such as permanent-magnet DC, synchronous and stepper motors. Topics in power electronics and control of electromechanical systems are studied. High-performance MATLAB environment is used to simulate, analyze and control mechatronic systems. Application of digital signal processors and microcontrollers in mechatronics are introduced. Case studies are covered.
1 - 3 Credits
This course is used to fulfill the graduate paper requirement under the non-thesis option for the MS degree in electrical engineering. The student must obtain the approval of an appropriate faculty member to supervise the paper before registering for this course.
3 Credits
In this course the student is introduced to random variables and stochastic processes. Topics covered are probability theory, conditional probability and Bayes theorem, discrete and continuous random variables, distribution and density functions, moments and characteristic functions, functions of one and several random variables, Gaussian random variables and the central limit theorem, estimation theory , random processes, stationarity and ergodicity, auto correlation, cross-correlation and power spectrum density, response of linear prediction, Wiener filtering, elements of detection, matched filters.

Select Scholarship

Journal Paper
Peng, Honghong, Sohail Dianat, and Raghuveer Rao. "Multispectral Image Denoising with Optimized Vector Bilateral Filte." IEEE Transactions on Image Processing 23. 1 (2014): 267-273. Print.
Tsouri, Gill, et al. "Constrained-ICA Approach to Non-Obtrusive Pulse Rate Measurements." Journal of Biomedical Optics 17. (2012): 1-5. Print.
Provisional Patent
Dianat, Sohail and Gill Tsouri. "Estimating Cardiac Pulse Recovery from Multi-Channel Source Data via Constrained Source Separation." Patent 8,617,081 B2. 31 Dec. 2013.
Dianat, Sohail and Lalit Mestha. "Sensitivity Matrix Determination Via Chain Rule of Differentiation." Patent 8,564,830. 22 Oct. 2013.
Dianat, Sohail and Lalit Mestha. "Methods for Adaptive and Progressive Gradient-based Multi-resolution Color Image Segmentation and Systems Thereof." Patent 8,515,171. 20 Aug. 2013.
Published Conference Proceedings
Peng, H., Raghuveer Rao, and Sohail Dianat. "Optimized Vector Bilateral Filter for Multispectral Image Denoising." Proceedings of the 19th IEEE International Conference on Image Processing. Ed. Gurav Sharma. Orlando, FL: IEEE, 2012. Print.
Peng, H., R. Rao, and Sohail Dianat. "Nonnegative Matrix Factorization with Deterministic Annealing for Unsupervised Unmixing of Hyperspectral Imagery." Proceedings of the 19th IEEE International Conference on Image Processing, Orlando, Florida, September 2012. Ed. Gurav Sharma. Piscataway, NJ: IEEE, Print.
Almradi, Ahmad and Sohail Dianat. "NDA SNR Estimation over MISO with STBC Channels for BPSK Modulated Signals using the EM Algorithm." Proceedings of the 2nd International Conference on Communications and Information Technology (ICCIT): Wireless Communications and Signal Processing, Hammamet, Tunisia, June 2012. Ed. IEEE. Piscataway, NJ: IEEE, 2012. Print.
Almradi, Ahmad and Sohail Dianat. "'Cramer-Rao Lower Bounds of NDA SNR Estimation for BPSK Modulated Signals over MISO with STBC Channels." Proceedings of the 2nd International Conference on Communications and Information Technology (ICCIT): Wireless Communications and Signal Processing, Hammamet, Tunisia, June 2012. Ed. IEEE. Piscataway, NJ: IEEE, 2012. Print.
Vantaram, S. R., et al. "Semi-Automatic 3-D Segmentation of Computed Tomographic Imagery by Iterative Gradient-Driven Volume Growing." Proceedings of the IEEE International Conference on Image Processing. Ed. IEEE. USA: IEEE, 2011. Web.
Kval, Survi. Image & Video Super Resolution Via Compressed Sensing. By SohaiL Dianat and L.K. Mestha. 5 Apr. 2012. CEIS University Technology Showcase, Rochester. Exhibit.