Sequare Daniel-Berhe, (Ph.D.)

(Postdoctoral, Ph.D., M.Sc. & B.Sc. in Electrical & Computer Engineering field of studies),
Visiting Associate Research Engineer,
Mechanical and Aerospace Engineering Department (MAE),
School of Engineering & Applied Science,
University of California, Los Angeles (UCLA).

Postdoctoral, Ph.D., M.Sc. and B.Sc. in Electrical & Computer Engineering field of studies

Personal Information    Areas of Expertise & Status    Career Objective, Teaching & Research Interests & Activities    Education    Academic and Practical Experiences    Selected Academic Publications    Selected Academic Presentations    Academic Joint Projects

Professional Affiliations     Academic Recognition by "WHO’S WHO IN THE WORLD"     Professional Services     Major Courses     Awards     Religion     Sport & Hobbies     Extracurricular Activities     Favourite Control Groups in the World

16th edition of Marquis WHO’S WHO IN THE WORLD 1999 + CERTIFICATE

News: From UCLA

  Title: Engineers Design Computer Program to Aid Military Decision-Making (www.engineer.ucla.edu/stories/military.htm)

Address:
s_daniel_berhe@yahoo.com  

Over ten years related work experience as
   Lecturer, Researcher, Instructor and Projects Supervisor
   Technical Advisor and Technical Projects Coordinator
   Consultant, Design Engineer, Office Engineer, Electrical & Computer Engineer
   Website Designer & Webmaster
   Grant Writer and Organizer of High-level Research Oriented Technical Proposals, etc.

   February 2006 - Present: Assistant Professor-Adjunct Faculty in Electrical & Computer Engineering , at California State University Los Angeles
   October 2004 - Present: Assistant Professor-Adjunct Faculty in Electronics and Computer Technology (ECT), Electrical Engineering Technology (EET), Computer Engineering Technology (CET), & Computer Information Systems (CIS), as well as in Network and Communications Management (NCM) at DeVry University Long Beach
   February 2005 - Present: Assistant Professor-Adjunct Faculty in Computer Technology (CT), Electronics (EET), & Computer Science Information Technology (CSIT) as well as in Engineering, Physics & Astronomy at Los Angeles City College
   February 2005 - Present: Assistant Professor-Adjunct Faculty in Computer Information Systems (CIS) at Riverside Community College
   01/17/2000 - Present: Associate Research Engineer in Mechanical and Aerospace Engineering Department, School of Engineering & Applied Science, University of California, Los Angeles (UCLA).
   10/94 - 01/16/2000: Scientific co-worker, researcher and instructor in Control Engineering Department, Faculty of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Bochum, Germany.
   06/01/92 - 03/31/94: Lecturer II, Research Assistant, Undergraduate Thesis Research Projects Supervisor and Assistant Course Coordinator in Electrical and Computer Engineering Department,    Faculty of Technology,    at   Addis Ababa University, Addis Ababa, Ethiopia.
   09/01/89 - 05/31/92: Lecturer I and Research Assistant in Electrical and Computer Engineering Department,    Faculty of Technology,   at   Addis Ababa University, Addis Ababa, Ethiopia.

etc.

Hierarchical Modeling, Optimization and Control of Large-scale and Complex Systems
Hierarchical Multiobjective Analysis of Large-scale and Complex Systems
Advances in Enterprise Modeling and Control
Linear/Nonlinear Systems Modeling, Optimization and Control
Methods for Modeling and Identification of Nonlinear Dynamical Systems (Nonparametric, Parametric and Semiparametric Nonlinear Models)
Approaches to Nonlinear Continuous-time Systems Identification
Detection and Estimation of Jumps in Nonlinear Continuous-time Systems
Gradual or Smoothly Time-varying and Abruptly Changing Parameter Identification of Nonlinear Continuous-time Processes
Bilinear, Hammerstein, Integrable and Convolvable Nonlinear Continuous-time Systems Identification
System Identification by an Adaptive Direct Form FIR Filters
Real-time On-line Identification of a Nonlinear Continuous-time Plant Using the Hartley Modulating Functions Method
Batch Scheme Recursive Physical Parameter Identification of Nonlinear Continuous-time Systems Using the Hartley Modulating Functions Method
   Physical Parameter Estimation of the Nonlinear Continuous-time Dynamics of a DC Motor
   Physical Parameter Estimation of the Nonlinear Continuous-time Dynamics of a Single Link Robotic Manipulator with Flexible Joint
Real-time Implementations using one Shoot, Batch Scheme Nonrecursive and Recursive LS Estimation Algorithms, e.g.:
   Experimental Physical Parameters Estimation of the Nonlinear Continuous-time Dynamics of a Thyristor Driven DC Motor Using One Shoot FWLS Estimation Algorithm and CADACS Software
   Off-line Experimental Physical Parameters Estimation of the Nonlinear Continuous-time Dynamics of a Thyristor Driven DC Motor
       Using CADACS Software and Batch Scheme Nonrecursive FWLS Estimation Algorithm
       Using Interactive Real-time Toolbox and Batch Scheme Nonrecursive FWLS Estimation Algorithm
   Real-time On-line Experimental Physical Parameters Estimation of the Nonlinear Continuous-time Dynamics of a Thyristor Driven DC Motor Using Batch Scheme Recursive LS Estimation Algorithm and Interactive Real-time Toolbox
Application of Linear/Nonlinear System Modeling & Identification to Modern Finance, etc.
Advanced Unmanned Air & Ground Combat Vehicles and Operations, etc.

 RESEARCH ACTIVITIES

  PART A. PRIMARY CURRENT RESEARCH WORK

  A.1. Hierarchical Modeling, Optimization and Control of Large-scale and Complex Systems

   Large-scale and Complex Enterprise Modeling and Control
   Hierarchical Planning
   Coordination of Hierarchical Structures
   Decision Making Processes
   Hierarchical Multiobjective Analysis of Large-scale and Complex Systems

 A.2. Linear/Nonlinear Systems Modeling, Optimization and Control

   Optimal Strategies Planning
   Optimal Resources Allocation
   Dynamic Optimization
   Linear Programming (CPLEX)
   Mathematical Programming
   Model Evaluation
   Linear/Nonlinear System Identification

 A.3. Applications:

             Advances in Enterprise Modeling and Control
             Hi-Tech Battlefield Modeling & Optimization
             Automated Battle Management
             Planning of Complex Military Strategies Problems
             Modern Warfare Operational Games
             Mathematical Research on Combat Modeling
             Optimal Operation of Small & Large-scale & Complex Industrial Processes
             Reduction of Large-scale and Complex Systems Models
             Optimal Resource Allocation Problems
             Operational Research Problems
             Management Problems, etc.

 PART B. SECONDARY RECENT RESEARCH WORK CONTINUATION

  B.1. Methods for modelling and identification of nonlinear systems

Fig. 1 Major structure of nonlinear system identification models.

 B.2. Approaches to nonlinear continuous-time systems identification

  B.3. Physical parameter identification of nonlinear continuous-time systems using Hartley modulating functions (HMF) Method

   Detection and Estimation of Jumps in Nonlinear Continuous-time Systems
   Gradual or Smoothly Time-varying and Abruptly Changing Parameter Identification of Nonlinear Continuous-time Processes
   Real-time On-line Identification of a Nonlinear Continuous-time Plant Using the Hartley Modulating Functions Method
   Batch Scheme Recursive Physical Parameter Identification of Nonlinear Continuous-time Systems Using the Hartley Modulating Functions Method

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Fig. 2 Real-time experimental setup of the nonlinear thyristor driven dc-motor and load plant.

Fig. 3 Nonlinear Dynamics of a Single Link Robotic Manipulator with Flexible Joint.

Fig. 4 Nonlinear Continuous-time Dynamics of a DC Motor and load. Other investigated type of systems:    Different types of linear & bilinear continuous-time systems,    Hammerstein nonlinear cont.-time systems,    Integrable nonlinear cont.-time systems,    Convolvable nonlinear cont.-time systems &    General differential operator nonlinear cont.-time systems.

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Abstract: This research is concerned with the new development of a general framework of methods for modeling and identification of physically-based nonlinear parametric continuous-time dynamical systems. This new framework uses Hartley modulating functions (HMF) (1995). The HMF-method assumes the a priori knowledge of the nonlinear differential equation of a physical system, the parameters of which are unknown, and uses sampled input and noise contaminated output data records for the estimation of the physically-based system parameters. The HMF-method is re-examined, further developed and applied to physically-based continuous-time dynamics. Furthermore, a new batch scheme approach (1998) for nonlinear continuous-time systems identification is developed. Please refer to the listed publications below. The developed new identification method has been thoroughly tested to physically-based nonlinear continuous-time practicable dynamical systems, e.g., in a nonlinear dynamics of a dc-motor with load, a single link robotic manipulator with flexible joint, etc., and attempts have also been made to apply in practice, e.g., in a nonlinear thyristor driven dc-motor experimental set-up. The method has used a suited weighted LS-algorithm and shown promising results for the identification of linear, bilinear, Hammerstein and integrable as well as convolvable nonlinear continuous-time systems in the presence of noticeable measurement noises. More recently, a new batch scheme nonrecursive HMF identification method is proposed and applied to the detection and estimation of gradual or smoothly time-varying and abruptly changing parameters of nonlinear dynamic systems arising in various fields such as in nonlinear chemical processes, fault detection and diagnosis of nonlinear processes, etc. Furthermore, two new batch schemes recursive HMF algorithms are developed for nonlinear continuous-time system identification based on stair-case and trapezoidal approximations for the Hartley transform numerical integration. The algorithms are implemented by moving a fixed window size of time series data forward at each sampling instance and update recursively the sequential Hartley transforms and spectra to estimate parameters of the nonlinear model. The HMF-Method is a recently developed identification approach. As it is verified in the listed publications below, the method has shown promising results for the identification of nonlinear systems. In general, these studies at this time are preliminary and there are many issues yet to be addressed, and it leads to further work towards investigating the methodology into various improvements as well as applications.

 B.4. System Identification by an Adaptive Direct Form FIR Filters

   (i) Using Widrow-Hoff least mean squares adaptation algorithm (gradient-descent method)
   (ii) Using conventional recursive least squares adaptation algorithm (applying rank-one modification of covariance matrices, a priori and a posteriori Kalman gain, likelihood variables, etc.)
   (iii) Using fast recursive least squares adaptation algorithm (based on the ideas mentioned in (ii) above and forward/backward prediction, fast Kalman as well as shift-invariance property)
   Application of these three approaches to obtain the irreducible or minimal state variable realization of the identified dynamic system by formulating a suitable Hankel matrix with Markov parameter elements and applying a row searching algorithm.

 PART C. FUTURE RESEARCH INTEREST

  Application of Linear/Nonlinear System Modeling & Identification to MicroElectroMechanical Systems (MEMS)
  Application of Linear/Nonlinear System Modeling & Identification to Modern Finance (Part time basis)

         Research on Modern Investment Science/Methods to Business Issues
         Background: System Modeling & Identification Issues Associated with Option Pricing Theory, Portfolio Design, Technical Trading, Model Evaluation, etc.

  Advanced Unmanned Air & Ground Combat Vehicles and Operations, etc.

Postdoctoral as an Associate Research Engineer in Mechanical and Aerospace Engineering Department, by Prof. Jeff S. Shamma & Prof. Jason Speyer, School of Engineering & Applied Science, University of California, Los Angeles (UCLA).

Research^§: Advances in Enterprise Modeling and Control

                    Hierarchical Modeling, Optimization and Control of Large-scale Systems

                    Linear/Nonlinear Systems Modeling, Optimization and Control, etc.

    ^§Developed new Optimization Based Simulation Environment for Automated Battlefield Management (e.g. Proc. of IEEE-American Control Conference 2001, ACC'2001, Arlington, VA June 25-27, 2001, Session: WP-05, pp 4711-4715)

                    The application of modern control and optimization theories to improve battle planning and execution requires models that allow battle commanders to reliably predict actual battle outcomes of various alternatives ahead of time at a certain level of abstraction. This research work developed new battlefield modeling which characterize the battle dynamics and proposed linear programming based battle planning.

    ^§Developed new Linear Programming Based Automated Battle Management for a Large-scale System Using Hierarchical Optimization, etc.

                    Modern enterprise is a large-scale system with broadly distributed and potentially conflicting goals, resources and constraints, with multiple semi-autonomous participants of both human and artificial nature. Thus, to solve problem of large-scale and complex system one can structure the model hierarchically by partitioning into number of interconnected subsystems for either computational or practical reasons. This research work outlines and formulates constructive hierarchical structures for automated battle management of a large-scale system based on linear programming planning.

Some of the symposiums that are related to my contributions are as follows:

(1) Technical Interchange Meeting of JFACC/DARPA Program (Joint Force Air Component Commander/Defense Advanced Research Projects Agency),
Landscape Working Group: "Exploring the Technological Operational Envelope through T3/EM Experiments," February 8, 2000, Ft. Walton Beach, FL.

(2) JFACC/DARPA Project Technical Interchange Meeting,
              (i) Overview of Distributed Agile Control in Hostile Environments, and
              (ii) Software Enabled Battlefield Management,
May 2000, Washington, DC.

It is a project to develop simulation environment for battlefield management and control, etc.

(3) JFACC/DARPA Project: "Advances in Enterprise Control (AEC) Symposium and Technology Display,"
Agile and Stable Command and Control of Military Operations
              (i) Modeling Environment for Battlefield Management, and
              (ii) SEAD Simulation Environment,
July 10-14, 2000, Minneapolis, MN.

(4) JFACC/DARPA Project Technical Interchange Meeting,
Distributed Agile Control in Hostile Environments,
              Optimization Based Battle Management
                            (i) Large-scale programming, and
                            (ii) Top Down Hierarchical,
Oct. 31 - Nov. 2, 2000, Pittsburgh, PA.

(5) JFACC/DARPA Project Technical Interchange Meeting and Science Fair (Industrial Poster & Demo Session),
Distributed Agile Control in Hostile Environments,
              (i) Large Scale Programming, and
              (ii) Hierarchical Optimization,
Feb. 5-8, 2001, San Diego, CA.

For general information about the project layout please refer to one of my public article, i.e.,

(6) S. Daniel-Berhe, M. Ait-Rami, Jeff Shamma and Jason Speyer. Optimization based battle management. Proc. of IEEE-American Control Conference 2001, ACC'2001, Session: WP-05, pp 4711 -4715, June 25 - 27, 2001, Arlington, VA. {Invited Session}

    etc.

10/94 - 6/99

   

Ph.D. (with Honor, 4.00 GPA) in Electrical Engineering and Information Sciences, supervised by Prof. Dr.-Ing. H. Unbehauen, Control Engineering Department, Faculty of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Bochum, Germany.

Dissertation^§: "Parameter Identification of Nonlinear Continuous-time Systems Using the Hartley Modulating Functions Method."

^§A new approach for linear, bilinear, Hammerstein, integrable and convolvable nonlinear continuous-time systems identification is developed. Please refer to the listed publications below.

The developed new identification method has been thoroughly tested [WAC’96, IEE-CONTROL’96, SIMONET’97], and attempts have also been made to apply in practice, e.g., in a nonlinear thyristor driven dc-motor experimental set-up [IFAC-SYSID’97, Journal of IFAC-Control Engineering Practice’98].

In addition, the method has been applied to physically-based nonlinear continuous-time practicable dynamical systems, e.g., nonlinear dynamics of a dc-motor with load [IEEE-CDC’96, Journal of Franklin Inst.’98], a single link robotic manipulator with flexible joint [IEEE-ACC’97].

The method has used a suited weighted LS-algorithm and shown promising results for identification of linear [ECC’97], bilinear [Journal of IFAC-Automatica’98, IEEE-CDC’98], Hammerstein [IEEE-CDC’97] and integrable as well as convolvable nonlinear continuous-time systems [Journal of Sys. Sci.’97] in the presence of noticeable measurement noises.

Quite recently, a new batch scheme nonrecursive HMF identification method is proposed and applied to the detection and estimation of gradual or smoothly time-varying [IEE-CONTROL’98] and abruptly changing parameters [XIII Int. Conf. on Sys. Sci.’98, Journal of Sys. Sci.’98] of integrable and Hammerstein nonlinear dynamic systems arising in various fields such as in nonlinear chemical processes, fault detection and diagnosis of nonlinear processes, etc.

Detection and estimation of jumps in a class of convolvable nonlinear systems are also investigated [IEEE-CCA’98].

Furthermore, a new batch scheme recursive HMF identification of nonlinear continuous-time Hammerstein model is under investigation [invited session in ECC’99], [IEEE-ICIT 2000], etc.

The thesis work has also made a detailed survey of methods for modeling and identification of nonlinear dynamical systems: Part I Nonparametric, Part II Parametric and Part III Semiparametric nonlinear models [European Journal of Control’98].

Particularly, the batch scheme HMF-Method is a recently developed identification approach. As it is verified in the listed publications below, the method has shown promising results for identification of nonlinear continuous-time systems. Thus, there are many issues yet to be addressed, and it leads to further work towards investigating the methodology into various improvements as well as applications.

9/89 - 12/91

   

M.Sc., (with Honor, 3.75 GPA) in Electrical Engineering major, supervised by Prof. Dr.-Ing. Ketma Alemu, in Electrical and Computer Engineering Department,    Faculty of Technology,    Addis Ababa University, Addis Ababa, Ethiopia.

Thesis: "System Identification by an Adaptive Direct Form FIR Filters¹ and Cross-correlation Techniques²", Dec. 21, 1991.

¹ The first part of the thesis work developed three new identification methods:

   (i) Identification using Widrow-Hoff least mean squares adaptation algorithm - (gradient-descent method).

   (ii) Identification using conventional recursive least squares adaptation algorithm - applying rank-one modification of covariance matrices, a priori and a posteriori Kalman gain, likelihood variables, etc.

   (iii) Identification using fast recursive least squares adaptation algorithm - based on the ideas of method (ii) and forward/backward prediction, fast Kalman as well as shift-invariance property.

      The proposed methods have been applied to different systems and shown their performance.

      The three approaches designed not only to identify the unknown system parameters but also to obtain the irreducible or minimal state variable realization of the identified dynamic system by formulating a suitable Hankel matrix with Markov parameter elements and applying a row searching algorithm.

² The second part of the thesis work concerned with system identification by cross-correlation techniques using simulation studies and experimental set-ups. It also included computational techniques to obtain a transfer function or equivalent mathematical description for the dynamic characteristics.

9/80 - 11/85

   

B.Sc., in Electrical Engineering major, supervised by Prof. Dr.-Ing. Hans Döring and Prof. Dr. G. Gebre Amanuel, in Electrical and Computer Engineering Department,    Faculty of Technology,    Addis Ababa University, Addis Ababa, Ethiopia.

Thesis^$: "Amharic Character Generator: Microprocessor-based Software and Hardware Design", Nov. 8, 1985.

^$An experimental set-up for generating amharic (Ethiopic) alphanumeric characters on a screen using a microprocessor system is developed.

   Amharic characters and their keyboard layout design and implementation.

   Microprocessor based hardware and software designs and debugging.

   Experimental set-up of character generator with visual display system.

Academic and Practical Experiences

February 2006 - Present

   

Assistant Professor-Adjunct Faculty in Electrical & Computer Engineering , at California State University Los Angeles

    Upper Division Undergraduate Courses that I am teaching at California State University Los Angeles in Electrical and Computer Engineering:

        * EE 360 Control Systems Theory

        * EE 371 Analog Electronics

February 2006 - Present

   

Assistant Professor-Adjunct Faculty in Electronics and Computer Technology (ECT), Electrical Engineering Technology (EET), Computer Engineering Technology (CET) & CIS at DeVry University Long Beach

    Undergraduate Courses that I taught at DeVry University Long Beach in Electronics and Computer Technology (ECT), Electrical Engineering Technology (EET), Computer Engineering Technology (CET) & CIS:

        * EET 495 Sensors Based Instrumentation Systems

        * ECT 162 Introduction to Microprocessor System

        * EET 470 Advanced Communication Systems

        * ECT 210 Electronics II

        * ECT 120 Electronics I

        * EET 112 Digital Electronics Fundamentals

        * ECT 295 Senior Applied Projects Laboratory (Various Projects)

        * ECT 250 Technology Integration

        * ECT 261 Communications Systems (For all courses - Lectures with Labs)

February 2006 - Present

   

Assistant Professor-Adjunct Faculty in Computer Technology (CT), Electronics (EET), & Computer Science Information Technology (CSIT) at Los Angeles City College

    Undergraduate Courses that I taught at Los Angeles City College in Computer Technology (CT), Electronics (EET), & Computer Science Information Technology (CSIT)

        * CT 15 Network+ Certification Preparation

        * CT 14 A+ Certification Preparation

        * EET 8 Electronics

        * ENG 212 General Engineering CADD for Engineers II (SolidWorks for beginners class)

        * ENG 212 General Engineering CADD for Engineers II (SolidWorks for advanced class)(For all courses - Lectures with Labs)

February 2006 - Present

   

Assistant Professor-Adjunct Faculty in Computer Information Systems (CIS) at Riverside Community College

    Undergraduate Courses that I taught at Riverside Community College in Computer Technology (CT), Electronics (EET), & Computer Science Information Technology (CSIT)

        * CIS 1A Introduction to Computer Information Systems

        * CIS 5 Programming Logic using C++

        * CIS/CAT 93A Introduction to Windows

        * CIS 96/CIS 97 Computer Information Systems Practice (For all courses Lectures with Labs)

01/17/2000 - Present

   

Associate Research Engineer in Mechanical and Aerospace Engineering Department, School of Engineering & Applied Science, University of California, Los Angeles (UCLA)and Technologist for JFACC/DARPA.

Research:    Developed new Optimization Based Simulation Environment for Automated Battlefield Management, (e.g. Proc. of IEEE-American Control Conference 2001, ACC'2001, Arlington, VA June 25-27, 2001, Session: WP-05, pp 4711-4715)

                     Developed new Linear Programming Based Automated Battle Management for a Large-scale System Using Hierarchical Optimization, etc.

        e.g. 1) Software Enabled Battlefield Management, and

               2) Distributed Agile Control in Hostile Environments, JFACC/DARPA Project Technical Interchange Meeting, Washington, DC, May 2000.

               3) Modeling Environment for Battlefield Management, and

               4) SEAD Simulation Environment, Agile and Stable Command and Control of Military Operations: JFACC/DARPA Project, Advances in Enterprise Control (AEC) Symposium, Minneapolis, MN, July, 2000,

               5) Distributed Agile Control in Hostile Environments: Optimization Based Battle Management, (i) Large-scale programming, and (ii) Top Down Hierarchical, JFACC/DARPA Project Technical Interchange Meeting, Pittsburgh, PA, Oct. 31 - Nov. 2, 2000,

               6) Distributed Agile Control in Hostile Environments: (i) Large Scale Programming, and (ii) Hierarchical Optimization, JFACC/DARPA Project Technical Interchange Meeting and Science Fair (Industrial Poster & Demo Session), San Diego, CA, Feb. 5-8, 2001,

        etc.

Since 04/01/2002

   

Consultant, Advisor, Grant Writer, Technical Projects Coordinator, Website Designer and Webmaster at Community Based Educational Centers in Los Angeles (part-time basis)

10/94 - 01/16/2000

   

Scientific co-worker, Researcher,   Instructor for Graduate Laboratory   Courses and Supervisor for Graduate Thesis Research Projects in Control Engineering Department, Faculty of Electrical Engineering and Information Sciences,Ruhr-University Bochum, Bochum, Germany.

   Research: Developed a new approach for nonlinear continuous-time systems identification. Please refer to the listed publications below.

   Graduate Laboratory Courses that I have instructed:

         * Automatic Control Lab I (Linear Control Systems)

         * Automatic Control Lab II (Nonlinear Control Systems & Adaptive Control)

   Graduate Thesis Research Projects

        * Nonlinear System Identification of

             ** a "Nonlinear Aircraft Laboratory Plant" &

             ** a "Nonlinear Turbo-Generator Laboratory Plant."

        * Identification of a "Nonlinear Synchronous Motor Parameters."

6/92 - 3/94

   

Lecturer II, Research Assistant, Supervisor for Undergraduate Thesis Research Projects and Assistant Course Coordinator in Electrical and Computer Engineering Department,    Faculty of Technology,    Addis Ababa University, Addis Ababa, Ethiopia.

    Research: Developed three new identification methods for linear continuous-time systems. Please refer to the M.Sc. work above.

    Undergraduate Courses that I have taught for regular and extension division:

        * Control Systems I                          * Electrical Machine I and II

        * Engineering Electronics I and II    * Basic Electrical & Electronic Devices

        * Electrical Installation & Drives    * ECE 212 Probability & Statistics, …, etc.

    Undergraduate Laboratory Courses that I have instructed for regular & extension division:

        * Control Systems Lab. I                     * Basic Electrical & Electronic Devices Lab.

        * Electrical Machine Labs. I and II     * Fundamental of Circuits Labs. I and II

        * ECE 216L Electrical Eng. Lab I     * ECE 405L Engineering Electronics Lab I & Lab II

        * ECE 216L Electrical Engineering Lab I, etc.

    Undergraduate Thesis Research Projects that I have supervised: in the area of

        * Design of Lattice form FIR-Wiener Filters for Noise Canceling Application.

        * Adaptive Implementation of Filters,       * Linear System Identification,

        * Adaptive Linear Prediction, etc.

Lecturer I and Research Assistant in Electrical and Computer Engineering Department,    Faculty of Technology,    Addis Ababa University, Addis Ababa, Ethiopia.

    Undergraduate Courses that I have taught for regular and extension division:

        * Engineering Electronics I               * Electrical Machine I

        * Electrical Installation & Drives       * Basic Electrical & Electronic Devices

        * Fundamental of Circuits                   * Probability and Statistics

    Undergraduate Laboratory Courses that I have instructed for regular & extension division:

        * Engineering Electronics Labs. I & II                   * Electrical Machine Labs. I & II

        * Basic Electrical & Electronic Devices Lab.         * Fundamental of Circuits Labs. I & II, etc.

Computer Software’s Lecturer in the Organization of City Business Center, Addis Ababa, Ethiopia (Part time work).

Other Professional Industrial Practical Experiences

Electrical Engineer and Supervisor in the UN-ECA, CMC-di Ravenna and ASTER - International, Addis Ababa, Ethiopia (Part time work).

Office Engineer in the "Gilgel Gibe (324MW) & Dembie (1MW) Hydro Electric Projects," Ministry of Mines and Energy, Addis Ababa, Ethiopia.

Design Engineer and Supervisor in the "Gilgel Gibe (324MW) & Dembie (1MW) Hydro Electric Projects," Ministry of Mines and Energy, Addis Ababa, Ethiopia.

Consultant and Design Engineer, in Private Consultation Services, Addis Ababa, Ethiopia (Part time work).

Assistance Engineer in the "Household Electrical Appliances Project" feasibility study of the Industrial Projects Service, Ministry of Industry, Addis Ababa, Ethiopia (Part time work).

7/84 - 9/84

   

Assistance Engineer in the "Electronics & Electrical Machinery Project" feasibility study of the Industrial Projects Service, Ministry of Industry, Addis Ababa, Ethiopia (Vacation work).

7/83 - 9/83

   

Assistance Engineer in the "Project and Planning Section", Telecommunication Authority, Addis Ababa, Ethiopia (Vacation work).

Selected Academic Publications

A. Recent Journal Papers

1. S. Daniel-Berhe and H. Unbehauen. Physical parameters estimation of the nonlinear continuous-time dynamics of a dc motor using HMF-method. Journal of the Franklin Institute, 336(3), pp 481-501, 1999.
   
   
2. S. Daniel-Berhe and H. Unbehauen. An approach for estimating abruptly changing parameters of integrable nonlinear continuous-time systems. Systems Science Journal,   25(1), pp 15-26, 1999. {This paper is automatically published by the editor of "System Science Journal" after it has been presented at the XIII International Conference on Systems Science’98 in Poland}.
   
   
3. S. Daniel-Berhe and H. Unbehauen. Bilinear continuous-time systems identification via Hartley based modulating functions. Journal of IFAC Automatica, 34(4), pp 499-503, 1998.
   
   
4. S. Daniel-Berhe and H. Unbehauen. Experimental physical parameter estimation of a thyristor drivendc-motor using the HMF-method. Journal of IFAC Control Engineering Practice, 6(5), pp 615-626, 1998.
   
   
5. S. Daniel-Berhe and H. Unbehauen. Batch scheme Hartley modulating functions method for abruptly changing parameters identification of nonlinear continuous-time systems. Systems Science Journal,  24(3), pp 67-87, 1998.
   
   
6. S. Daniel-Berhe and H. Unbehauen. Parameter identification of nonlinear continuous-time systems by Hartley Modulating Functions approach. Systems Science Journal,   23(3), pp 5-22, 1997.

B. Recent Conference Papers

1. S. Daniel-Berhe, M. Ait-Rami, Jeff Shamma and Jason Speyer. Optimization based battle management. Proc. of IEEE-American Control Conference 2001, ACC'2001, Session: WP-05, pp 4711 -4715, June 25 - 27, 2001, Arlington, VA, USA. {Invited Session}
   
   
2. S. Daniel-Berhe and H. Unbehauen. Batch Scheme Recursive Parameter Estimation of Gradually Time-Varying Nonlinear Systems. International Federation of Automatic Control ( IFAC ), Symposium on System Identification, SYSID'2000, Session: ThPM2-3, June 21 - 23, 2000, Santa Barbara, California, USA. {Invited Session}
   
   
3. S. Daniel-Berhe. Real-time On-line Identification of a Nonlinear Continuous-time Plant Using Hartley Modulating Functions Method. IEEE International Conference on Industrial Technology - ICIT 2000 in Goa, India, pp 584 - 589, January 19 - 22, 2000. (Invited Session)
   
   
4. S. Daniel-Berhe and H. Unbehauen. Batch scheme recursive Hartley modulating functions identification of nonlinear continuous-time Hammerstein model. European Control Conference 1999, ECC'99, Invited session, In Co-operation with IFAC & IEEE Control System Society, Session DM-3-3, 31 August - 3 September 1999, Karlsruhe, Germany.
   
   
5. S. Daniel-Berhe and H. Unbehauen. State space identification of bilinear continuous-time canonical systems via batch scheme Hartley modulating functions approach. Proc. of 37th IEEE Conference on Decision and Control 1998, CDC'98, Session Code: FP08-1, Parameter Identification and Estimation, pp 4482-4487, Hyatt Regency Westshore, Tampa, Florida, USA, December 16-18, 1998.
   
   
6. S. Daniel-Berhe and H. Unbehauen. Batch scheme Hartley modulating functions method to the detection and estimation of jumps in a class of convolvable nonlinear systems. Proc. of IEEE   Conference on Control Applications 1998, CCA'98 ,    Paper No. GC016, Session TM06-2, Nonlinear Control 1, pp 838-842, Trieste, Italy, September 1-4, 1998. Co-Chair: Session TM06 "Nonlinear Control 1."
   
   
7. S. Daniel-Berhe and H. Unbehauen. Batch scheme Hartley modulating functions method for detecting gradual parameter changes in the identification of integrable nonlinear continuous-time systems. Proc. of IEE'98, UKACC International Conference on Control'98 , Conference Publication No. 455, Session 8B-SYSID II, pp 1254-1259, University of Wales, Swansea, Uk, September 1-4, 1998.
   
   
8. S. Daniel-Berhe and H. Unbehauen. An approach for estimating abruptly changing parameters of integrable nonlinear continuous-time systems. Proc. of XIII International Conference on Systems Science’98,     Paper No. 98-074, Session A1-1 Systems Theory I, pp 84-95,     Wroclaw University of Technology, Wroclaw, Poland, September 15-18, 1998. {Invited Session}
   
   
9. S. Daniel-Berhe and H. Unbehauen. Identification of nonlinear continuous-time Hammerstein model via HMF-method. Proc. of 36th IEEE   Conference on Decision and Control 1997, CDC'97,   December 10 - 12, 1997, pp 2990-2995, San Diego, California.
   
   
10. S. Daniel-Berhe. Identification of nonlinear continuous-time systems. Proc. of 3rd SIMONET’97 Workshop: Recent results in system identification and modeling, pp 111-119, October 8-9, 1997, Bochum, Germany. {Invited Session}
    
    
11. S. Daniel-Berhe and H. Unbehauen. Parameter estimation of the nonlinear dynamics of a thyristor driven dc-motor experimental set-up using HMF-method. Proc. of 11th International Federation of Automatic Control ( IFAC ), Symposium on System Identification, SYSID'97,  July 8 - 11, 1997, Vol. 1, pp 189-194, Kitakyushu, Fukuoka, Japan. {Invited Session}
    
    
12. S. Daniel-Berhe and H. Unbehauen. Efficient parameter estimation for a class of linear continuous time systems using the HMF-method. Proc. of European Control Conference 1997, ECC'97, In Co-operation with IFAC & IEEE Control System Society, July 1-4, 1997, pp TH-E-F1, Brussels, Belgium.
    
    
13. S. Daniel-Berhe and H. Unbehauen. Physical parameter estimation of the nonlinear dynamics of a single link robotic manipulator with flexible joint using the HMF-method. Proc. of 16th IEEE - American Control Conference 1997, ACC'97, Albuquerque Convention Center, June 4 - 6, 1997, pp 1504-1508, New Mexico, USA.
    
    
14. S. Daniel-Berhe and H. Unbehauen. Application of the Hartley modulating functions method for the identification of the bilinear dynamics of a dc motor. Proc. of 35th IEEE Conference on Decision and Control 1996, CDC'96, Kobe International Conference Center, December 11 - 13, 1996, pp 1533-1538, Kobe, Japan.
    
    
15. S. Daniel-Berhe and H. Unbehauen. Parameter estimation of nonlinear continuous-time systems using Hartley modulating functions. Proc. of IEE'96,  UKACC International Conference on Control'96, Sept. 2 -5, 1996, Conference Publication No. 427, pp 228-233, Exeter, England.
    
    
16. S. Daniel-Berhe and H. Unbehauen. Hartley modulating functions method for the identification of nonlinear continuous-time systems. Proc. of second World Automation Congress, WAC'96, ISIAC’96,  May 27 - 30, 1996, Vol. 4 Intelligent Automation and Control (ISIAC), pp 139-144, Montpellier, France. {Invited Session} Co-Chair: Session WdA-12 "Identification of Nonlinear Systems."

C. Submitted Conference and Journal Papers

1. Sommer Gentry, Eric Feron, Venkatesh Saligrama, S. Daniel-Berhe and Jeff Shamma. Identifying optimization parameters. Submitted to Proc. of IEEE-American Control Conference 2001, ACC'2001.
   
   
2. S. Daniel-Berhe and H. Unbehauen. Methods for modeling and identification of nonlinear systems: Part I Nonparametric. Submitted to European Journal of Control, EJC, its extended abstract is accepted in 1997.
   
   
3. H. Unbehauen and S. Daniel-Berhe. Methods for modeling and identification of nonlinear systems: Part II Parametric. Submitted to European Journal of Control, EJC, its extended abstract is accepted in 1997.
   
   
4. S. Daniel-Berhe and H. Unbehauen. Methods for modeling and identification of nonlinear systems: Part III Semiparametric. Submitted to European Journal of Control, EJC, its extended abstract is accepted in 1997.
   
   
5. S. Daniel-Berhe. Investigation of the HMF-method into parameter estimation of different types of linear differential systems in relation to their frequency domain interpretations. Almost completed study and to be submitted to a Journal.

D. Selected Academic Technical Writings/Reports

1. S. Daniel-Berhe. Parameter identification of nonlinear continuous-time systems using the Hartley modulating functions method. Ph.D. Dissertation, Cuvillier Verlag Göttingen, 1999, ISBN 3-89712-579-X.
   
   
2. S. Daniel-Berhe. Approaches and recent developments in nonlinear continuous-time systems Identification. Internal Report, ESR 9707, Control Engineering Department, Faculty of Electrical Engineering, Ruhr-University Bochum, Bochum, Germany, 1997.
   
   
3. S. Daniel-Berhe. Use of fuzzy logic in adaptive conventional control systems. Internal Report (Seminar), ESR 9711, Control Engineering Department, Faculty of Electrical Engineering, Ruhr-University Bochum, Bochum, Germany, 24 June 1997.
   
   
4. S. Daniel-Berhe. System identification by an adaptive direct form FIR filters and cross-correlation techniques. M.Sc. Thesis, Electrical and Computer Engineering Department,    Faculty of Technology,    Addis Ababa University, Addis Ababa, Ethiopia, Dec. 21, 1991.
   
   
5. S. Daniel-Berhe and Gessesew Seyoum. Amharic Character Generator: Microprocessor-based Software and Hardware Design. B.Sc. Thesis, Electrical and Computer Engineering Department,    Faculty of Technology,    Addis Ababa University, Addis Ababa, Ethiopia, Nov. 8, 1985.

E. Selected Academic Presentations

1. S. Daniel-Berhe. 22 June 2000 , International Federation of Automatic Control ( IFAC), Symposium on System Identification, SYSID'2000, Invited Session, Session: ThPM2-3, June 21 - 23, 2000, Santa Barbara, California, USA. "Batch Scheme Recursive Parameter Estimation of Gradually Time-Varying Nonlinear Systems."
   
   
2. S. Daniel-Berhe. 3 September 1999 , European Control Conference 1999, ECC'99, Invited session, In Co-operation with IFAC & IEEE Control System Society, Session DM-3-3, 31 August - 3 September 1999, Karlsruhe, Germany, "Batch scheme recursive Hartley modulating functions identification of nonlinear continuous-timeHammerstein model."
   
   
3. S. Daniel-Berhe. 18 December 1998 , IEEE Conference on Decision and Control 1998, CDC'98, Session Code: FP08-1, Parameter Identification and Estimation, Hyatt Regency Westshore, Tampa, Florida, USA, "State space identification of bilinear continuous-time canonical systems via batch scheme Hartley modulating functions approach."
   
   
4. S. Daniel-Berhe. 17 November 1998 , Colloquium, Control Engineering Department, Faculty of Electrical Engineering, Ruhr-University Bochum, Bochum, Germany, "Physical parameter identification of nonlinear continuous-time systems using the Hartley modulating functions method."
   
   
5. S. Daniel-Berhe. 3 September 1998, IEEE   Conference on Control Applications 1998, CCA'98 ,    Trieste, Italy, "Batch scheme Hartley modulating functions method to the detection and estimation of jumps in a class of convolvable nonlinear systems." Co-Chair: Session TM06 "Nonlinear Control 1."
   
   
6. S. Daniel-Berhe. 11 December 1997, 36th IEEE   Conference on Decision and Control 1997, CDC'97, San Diego, California, USA, "Identification of nonlinear continuous-time Hammerstein model via HMF-method."
   
   
7. S. Daniel-Berhe. 3 December 1997, Colloquium, University of Athens, Department of Informatics, Division of Communications and Signal Processing, Panepistimiopolis, Athens, Greece, "Parameter identification of nonlinear continuous-time systems by Hartley modulation functions approach."
   
   
8. S. Daniel-Berhe. 9 October 1997, 3rd SIMONET’97 Workshop, Recent results in system identification and modeling, Bochum, Germany, "Identification of nonlinear continuous-time systems."
   
   
9. ECC'97, In Co-operation with IFAC & IEEE Control System Society, Brussels, Belgium, "Efficient parameter estimation for a class of linear continuous time systems using the HMF-method."
   
   
10. S. Daniel-Berhe. 24 June 1997, Seminar, Control Engineering Department, Faculty of Electrical Engineering, Ruhr-University Bochum, Bochum, Germany, "Use of Fuzzy logic in adaptive conventional control systems."
    
    
11. S. Daniel-Berhe. 5 June 1997, 16th IEEE-American Control Conference 1997, ACC'97, Albuquerque Convention Center, New Mexico, USA, "Physical parameter estimation of the nonlinear dynamics of a single link robotic manipulator with flexible joint using the HMF-method."
    
    
12. S. Daniel-Berhe. 11 December 1996, 35th IEEE Conference on Decision and Control 1996, CDC'96, Kobe International Conference Center, Kobe, Japan, "Application of the Hartley modulating functions method for the identification of the bilinear dynamics of a dc motor."
    
    
13. S. Daniel-Berhe. 3 September 1996, IEE'96,  UKACC International Conference on Control'96, Exeter, England, "Parameter estimation of nonlinear continuous-time systems using Hartley modulating functions."
    
    
14. S. Daniel-Berhe. 29 May 1996, Second World Automation Congress, WAC'96, Intelligent Automation and Control, ISIAC'96, Montpellier, France, "Hartley modulating functions method for the identification of nonlinear continuous-time systems." Co-Chair: Session WdA-12 "Identification of Nonlinear Systems."

Academic Joint Projects

A. [Related to Advances in Enterprise Modeling and Control]

1. Identifying Optimization Parameters, etc. Together with Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, MIT, USA.

B. [Related to Nonlinear Systems/Processes Modeling & Identification]

1. Identification of Nonlinear Induction Motors. Together with New Jersey University, USA.
   
2. Fault Detection and Diagnosis of Nonlinear Processes. Together with University of Bologna, Italy.
   
3. Bilinear Systems/Processes Identification. Together with Delft University of Technology, Holland.
   
4. Nonlinear Systems Identification. Together with University of Athens, Greece.

Professional Affiliations

Member of:

1. Institute of Electrical and Electronics Engineers (IEEE)
   
2. IEEE Control Systems Society (IEEE-CSS)
   
3. IEEE Education Society
   
4. World Scientific and Engineering Society   (WSES)

Archive: Systems and Control Archive List

    List of addresses and home pages of people working in systems and control theory.

Academic Recognition by "WHO’S WHO IN THE WORLD" + CERTIFICATE

Included in the 16th edition of Marquis WHO’S WHO IN THE WORLD 1999 biographical reference book, published in Dec. 1998.

Who’s Who in the World is a comprehensive directory of the biographies of international outstanding people in a wide range of professions and geographic locations. Each biography details an individual’s accomplishments for the use of educators, administrators, researchers and library patrons.

The 16th edition of Who’s Who in the World recognizes individuals distinguished by their achievements and positions throughout the world. The 16th edition compiles the profiles of 40,000 individuals-a process that limits the distinction to one in every 155,000 individuals on the face of the global.

Considered for inclusion in the 17th edition of Marquis WHO’S WHO IN THE WORLD 2000, etc., in the 5th edition of Marquis WHO’S WHO IN SCIENCE AND ENGINEERING 2000-2001, etc., in the 33rd Edition of Marquis Who's WHO IN FINANCE AND INDUSTRY 2003, etc., as well as in the 58th Edition of Marquis Who's WHO IN AMERICA 2003, etc., biographical reference books.

Professional Services

Advisor; Academic Committee; Lab Tour Guide at Universities; Served as Chair/Co-chair of sessions in IEEE and other control conferences; Reviewer/co-reviewer to various scientific papers for conferences and journals related to nonlinear systems identification and control: Journal of Franklin Institute, IFAC-SYSID, IEEE-CDC, IEEE-ACC, IFAC Automatica, IFAC Control Engineering Practice, International Journal of Systems Science, European Journal of Control (EJC), International Journal of Control, Computers & Electrical Engineering, Int. J. of Systems Science, EJC, J. of Computers & Electrical Engineering, etc.

Major Courses

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System Identification & Adaptive Control Optimal Control & Applications Systems Analysis & Modeling Nonlinear Control Systems Linear Systems Theory, Digital Control Stochastic Processes Optimal Signal Processing Signal Processing I, II Advanced Communication Theory & Systems Neural Networks & Fuzzy Systems Analytical Methods in Engineering Management Science & Operational Research Higher Level Electromagnetic Fields & Waves BASIC COURSES Computer Programming Signals, Systems and Networks I, II + Labs I, II Electrical Machine I, II + Labs I, II Engineering Electronics I, II + Labs I, II Applied Electromagnetic Fields I, II + Labs I, II Basic Electrical & Electronic Devices + Labs Fundamental of Circuits + Labs I, II Workshop Practice I, II, III Probability and Statistics

Control Systems I, II + Labs I, II Digital Electronics & Logic Design + Labs Communication Systems I, II + Labs I, II Energy Conversion Instrumentation + Labs Microprocessor Based Systems + Labs Computer Architecture and Programming Computer Vision Computational Methods Power System Operation, Distribution & Control Electrical Engineering Materials & Components Power Systems I, II + Labs I, II Engineering Economy & Workshop Management Electrical Installation & Drives EXTRA COMMON KEY COURSES Engineering Mathematics I, II, III, IV, V Engineering Mechanics, Static, Dynamics Engineering Thermodynamics Engineering Materials Machine Design Strength of Materials Fluid Mechanics Applied Modern Physics Machine Elements Descriptive Geometry & Technical Drawing I, II

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Awards

Research Fellowship: German Academic Exchange Service (’94), (Ph.D. degree, 10/94 - 6/99).

Scholarship: Gilgel Gibe & Dembie Hydro Electric Project (‘89), (M.Sc. degree, 9/89 - 12/91).

Religion

Orthodox Christian.

Sports & Hobbies

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Sports Table Tennis, Football, Swimming, Jogging.

Hobbies Study of literature on religions, Touring, Photographing, Chess.

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Extracurricular Activities

Working for four Humanitarian Missions (at University, Church, Community, etc.) - to promote academic, spiritual, moral, social, emotional and physical developments as well as a sense of responsibility to larger community and society.

Favourite Control Groups in the World

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Wednesday, 25 April 2001 at 10:19:12 P.M. EDT by s_daniel_berhe@yahoo.com

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