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Archive for the ‘BMS ALUMNI’s-Professors/Staff in Abroad Universities’ Category

Chelakara S. Subramanian – Assoc Professor, Program Chair, M

Posted by bmsceiaa on November 19, 2006

Chelakara S. Subramanian

Assoc Professor, Program Chair, Mechanical and Aerospace Eng.

Ph.D., University of Newcastle, Australia, 1982
M.E.,, Indian Institute of Science, India, 1975
B.E., Bangalore University, India, 1973

Florida Institute of Technology
College of Engineering
Department of
Mechanical and Aerospace Eng.
150 West University Boulevard
Melbourne, Florida 32901-6975
(321) 674-7614
E-mail: subraman@fit.edu

Professional Experience

• Associate professor and former AE program chair (1996-99), Aerospace Engineering, Florida Institute of Technology, 1992–present

• Adjunct research professor, Naval Postgraduate School, Calif., 1988–1991

• Senior research engineer and group manager, British Maritime Tech., U.K., 1986–1988

• Postdoctoral research assistant, Imperial College of Science and Technology, U.K., 1982–1986

• Teaching assistant, University of Newcastle, Australia, 1977–1981

• Senior research fellow, Indian Institute of Science, India, 1975–1977

Research Interests

Dr. Subramanian’s main interest is in structure of turbulence in various types of complex flows (including vortex imbedded boundary layers, curved shear layers, rigid and flexible roughness effects, rotating shear layers and unsteady flows). The purpose is to explain the underlying mechanism of turbulence and to develop better flow models, which will help to develop more efficient engines for space vehicles and high-performance airfoils for the future generation airplanes. Other interests include:

• Design, testing and development of flow measuring instruments, such as laser Doppler, particle imaging and hot-wire anemometers; miniature pressure and temperature probes; and pressure-sensitive and temperature-sensitive paints. Flow visualization using laser induced fluorescence.

• Wind loading on structures and Road Vehicles. Hazard Mitigation

• Detection of debonding in Thermal Protection System of Shuttle Orbiter and Detection of Lightning through Clouds Using Short-Pulse Lasers and Streak Camera.

• Gas turbine, internal combustion and hydraulic propulsion systems. Alternative fuels. Desiccant air-conditioning systems

• Wind tunnel design and aerodynamic testing.

Current Research

• Hurricane Loss Model (FDOI/FIU funded)

• Remote Sensing of Wind Pressures on Coastal Residences (NOAA/ FL Sea Grant finded)

• Detection of Debonding of TPS Using Short-Pulse Lasers (FSREGP funded)

• Detection of Lightning Through Clouds (FSREGP Funded)

• Effects of Strong Roughness on Boundary Layer Turbulence Structure (WPAFB funded)

• Effects of Marine Bio-Fouling Roughness on Boundary layer Structure (NSF/HBOI Funded)

• Wind Effects on Emergency Rescue Vehicles ( FEMA/FDCA funded)

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Shashi S. Marikunte, Ph.D. Assistant Professor -CIVIL

Posted by bmsceiaa on November 19, 2006

Shashi S. Marikunte, Ph.D.

Assistant Professor
Department of Civil Engineering
Southern Illinois University Carbondale
Carbondale, IL 62901
Phone: (618) 453-7810
Fax: (618) 453-3044
E-mail: marikunt@engr.siu.edu

EDUCATION:

Ph.D. in Civil Engineering, July 1992
Michigan State University, East Lansing, MI 48824
Major: Structures
Dissertation: Moisture-Sensitivity and Long-Term Durability of Wood Fiber Reinforced Cement Composites.

M.S. in Civil Engineering, Mar. 1986
BMS College of Engineering, Bangalore University, Bangalore, India
Major: Construction Tech. and Material Science
Dissertation: Reinforced Concrete Haunched Beams in Shear.
Project: Analysis and Design of Composite Prestressed Concrete Bridge.

B.S. in Civil Engineering, Dec. 1983
BMS College of Engineering, Bangalore University, Bangalore, India
Major: Structures

Assistant Professor
Department of Civil Engineering
Southern Illinois University Carbondale
Carbondale, IL 62901

WORK EXPERIENCE:
11/00 – 7/01 Staff Executive
George S. May International Company, Park Ridge, Illinois.

3/98 – 10/00 Vice-President of Research and Standards
FORTECH L.L.C., Lemont, Illinois.

1/00 – 4/00 Visiting Adjunct Assistant Professor
Department of Civil Engineering, Northwestern University, Evanston, Illinois.

8/96 – 2/98 Adjunct Assistant Professor
Department of Civil Engineering, Howard university, Washington DC.

1/93 – 7/96 Research Associate
NSF Center for Advanced Cement-Based materials, Northwestern University, Evanston, Illinois.

9/92 – 12/92 Post-Doctoral Fellow
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, Michigan.

1/88 – 8/92 Graduate Research Assistant
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, Michigan.

1/86 – 12/87 Lecturer
BMS College of Engineering, Bangalore University, Bangalore, India.

1/86 – 12/87 Structural Engineer
GERAME Structural Consultants, Bangalore, India.

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Prashanth B. Nagendra- Department Chair-Management Departmen

Posted by bmsceiaa on November 19, 2006

Prashanth B. Nagendra- Department Chair – Management Department

304A ECOB&IT, IUP
Indiana PA – 15705
mail: nagendra@iup.edu
office: 724 – 357-4880
fax: 724 – 357-5743

Education:
Ph.D.
Rutgers, The State University of NJ, Newark, NJ.
Operations Management (Jan 1995)

M.B.A.
Rutgers, The State University of NJ, Newark, NJ.
Business Administration (Oct 1993)

M.S.
New Jersey Institute of Technology (NJIT), Newark, NJ.
Industrial Engineering (May 1990)

B.S.
B.M.S. College of Engineering, Bangalore Univ, India.
Ind. & Production Engg (Dec 1987)

Teaching Experience:
Professor
Dept. of Management IUP, Indiana, PA
(8/94 – Present)

Visiting Instructor
Dept. of Management & Management Science Pace University, NY, NY
(1/94 – 8/94)

Teaching Fellow
Industrial and Manufacturing Engineering Dept. NJIT, Newark, NJ
(9/92 – 8/94)

Research Areas:
Production Scheduling & Control, Inventory Management, Operations Strategy, TQM and Service Quality related issues, Manufacturing Flexibility, Small Business Management. & Entrepreneurship

Professional Experience: (click on the title for details)
Principal Investigator
(Jan 2001- Jan 2002)
Assessment & Strategies for Enhancing E-commerce in Rural Pennsylvania, Center for Rural PA

Principal Investigator (Jun 1999-Oct 2000)
Creating a Learning Organization, Pennsylvania Department of Transportation District 10

Principal Investigator
(Feb 1998-Present)
Self-Employment Assistance Program, State Government Grant with The Tri-County Career Track

Assistant Director (Aug 1995 – Present)
Small Business Institute (SBI), & Consultant, Small Business Development Center (SBDC),IUP, Indiana

Consultant (5/97 – 12/97)
IRIS Technologies, Inc., Greensburg, PA

Consultant (6/96 – 8/96)
Biocontrol Technology, Inc., Indiana, PA

Consultant (6/93 – 9/93)
World Bank, Washington, D.C.

Becton Dickinson Research Schol (1/89-8/94)
Computerized Production Control Lab, NJIT, Newark, NJ

Consultant (8/90 – 8/94)
Center for Manufacturing Systems (CMS) & Industrial Engineering Dept., NJIT, Newark, NJ

Industrial Engineer (5/89 – 9/89)
Physical Plant, NJIT, Newark, NJ

Industrial Engineer (1/88 – 8/8Cool
Kar Valves, Bangalore, India

Project Trainee (7/87 – 11/87)
Kirloskar Electric Ltd., Bangalore, India

International Teaching Experience:
North South University (NSU), Dhaka, Bangladesh (May 2000)
Course in Entrepreneurship and Small Business Management and seminar on Learning Organizations

Institut Commercial de Nancy (ICN), Nancy, France (March 1999)
Invited Seminars:

Operations Management for Global Competitiveness
Current Quality Management Practices in Business (Feb 1998)
BMS College of Engineering, Bangalore, India (Jan 1998)
Invited Seminar-Operations Management for Global Competitiveness

University of Duisburg, Duisburg, Germany (Nov 1997)
Invited Seminar-Application of OR Tools for Operations Management

Award/Honors:
Journal of Developmental Entrepreneurship Best Paper Award, Joint USASBE/SBIDA Conf, Feb 2000

Small Business Institute Directors’ Association Awards:

National Undergraduate Case of the Year Winner, 1998-99
National Undergraduate Case of the Year Runner-Up, 1995-96
Regional Undergraduate Case of the Year Winner, 1997-98
Research Award, Management Department, IUP, 1995-96
Distinguished Service Award, Small Business Institute, IUP, May 1996

Journal Publications: (click here…)
Other Publications – Conference Proceedings & Presentations: (click here…)
Editorships:

Editor
International Journal of Commerce and Management
(Aug 1998-Present)

Associate Editor
Journal of Small Business Strategy
(Jan 1998-Present)

Managing Editor
Competitiveness Review
(Aug 1998-Present)

Consulting Editor
Advances in Competitiveness Research
(Aug 1998-Present)

Associate Editor
Journal of Global Competitiveness
(1999 – Present)

Program Chair
American Society of Competitiveness Conf, Atlanta
(1999, 2000, and 2001)

Other Activities:
Founder and Faculty Advisor, Student Chapter, American Society for Quality (Control), IUP, Fall 1996 – Present.

College:
Co-Chair, Task Force to implement the industry leading Enterprise Resource Planning (ERP) software SAP’s R/3 in the curriculum, September 1998-Present.

Co-Chair, Graduate Committee, 1998-99. Member, 1996-Present.

Professional Affiliations:
American Society for Quality (ASQ)

American Production and Inventory Control Society (APICS)

Decision Sciences Institute (DSI)

Small Business Institute Directors’ Association (SBIDA)

American Society of Competitiveness (ASC)

Production & Operations Management Society (POMS)
Current Students:
MG – 330 Production & Operations Management

MG – 334 Quality Management

MG – 481/581 ERP & Supply Chain Management

MG – 638 Operations Management
Personal:
Traveled in India, United States, Canada, Australia, New Zealand, Germany, France, Cyprus, Turkey, Egypt, Sweden, Finland, Russia, Bangladesh, Costa Rica and Tanzania. Varied interests and hobbies including traveling, music, sports (following basketball, cricket, soccer, & football and playing racquetball & chess), world history, geography, religion and politics.

http://www.eberly.iup.edu/nagendra/

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Tejasvini Prasad – Dept. Math,Stat & CS

Posted by bmsceiaa on November 19, 2006

Tejasvini Prasad
Department of Mathematics, Statistics and Computer Science

http://www.uwstout.edu/cas/mscs/prasadt/resume.html

http://www.uwstout.edu/cas/mscs/prasadt/

Contact Information:
Room : 237C Harvey Hall
Phone: 715-232-1426
Email: prasadt@uwstout.edu

Education

September 1994 – September 1998

Bachelors in Computer Science, BMS College of Engineering, Bangalore, India

August 1999-May 2001

Masters in Computer Science, Michigan State University, USA

Internship/ Technical Experience

August 2001 – December 2001

Employer: Indian Institute of Science, Bioinformatics Department, Bangalore, India

Project Description: The project involved development of algorithms to predict protein similarity using structural information. The end goal is to identify structural similarity in proteins that may differ widely in sequence. A modified version of the Smith-Waterman algorithm was developed. This algorithm uses a weighted combination of various parameters to determine protein similarity. Another program developed identifies consensus hydrogen bonds in a family of proteins. All application development was done in Perl on Linux.

May 2000 – August 2000

Employer: Texas Instruments, Printing and Audio Systems group, Bangalore, India

Project Description: The project involved development of a simulation software for printers. Printer operation was modeled and for different input configurations to the system the printer performance was the output.

Teaching Experience

August 2002 – present

Lecturer, Department of Mathematics, Statistics and Computer Science

University of Wisconsin-Stout

Responsibilities include designing and presenting material pertaining to computer science theory and application. The courses taught have had an enrollment of students ranging from freshmen to seniors. Courses being handled include:

· Introduction to Programming

· Computer Science I and II

· Software Engineering

· Database Systems

May 2001-August 2001

Teaching Assistant, Department of Computer Science and Engineering

Michigan State University

Course titled, “Computer Organization and Assembly Language Programming” (CSE 320) involving basic architecture concepts as well as labs for SPARC assembly programs.

Aug 1999-May 2001

Lead Teaching Assistant, Department of Computer Science and Engineering

Michigan State University

Course titled, “Computing Concepts and Competencies” (CSE 101). This course involves introducing non-computer science majors to computers and developing their basic computer skills in lab cum lecture sessions.

Consulting

April 2004

Developed a breadth-first introductory course for the Department of Computer Science at Loyola University, Chicago.

Skills

Course Delivery Systems: Blackboard, Desire2Learn

Programming : C, C++, VC++ with STL, Java, PHP, Visual Basic 6.0, Fortran, Pascal, Intel x86 Assembly, SPARC Assembly

Databases: Oracle, MS-SQL server, MS Access-Jet, MySQL

Database tools: SQL, T-SQL, Developer 2000, ODBC, JDBC

Multimedia Tools: Matlab, SNDAN

OO Tools: Visio, ClearCase, SmartDraw

Operating Systems: Unix, Linux, Solaris, Windows 95/98/NT, DOS

Miscellaneous: XML, CSS, STL, LEX, YACC, HTML, CVS, RCS

Professional Activities

Publications:

· “Detection of hydrogen-bond signature patterns in protein families”, Prasad, Tejasvini; Prathima, M. N.; Chandra, Nagasuma Bioinformatics 2003, 19, 167-169.

· “ASAP, a systematic annotation package for community analysis of genomes”, Glasner, Jeremy D.; Liss, Paul; Plunkett III , Guy; Darling, Aaron; Prasad, Tejasvini; Rusch, Michael; Byrnes, Alexis; Gilson, Michael; Biehl, Bryan; Blattner, Frederick R.; Perna, Nicole T. Nucleic Acids Research, 2003, 31, 147–151.

Oral Presentations:

· “Extracting hydrogen-bond signature patterns from protein structure data.” Tejasvini Prasad , Tamilselvi Subramanian, Sridhar Hariharaputran, Chaitra H.S. and Nagasuma Chandra; Biological Language Conference, November 2003, Pittsburgh PA.

· Colloquium speaker, Department of Mathematics, Statistics and Computer Science, February 2003, Menomonie WI.

Conference Participation:

· ACM SIGCSE Conference, March 2004, Norfolk VA.

· Biological Language Conference, November 2003, Pittsburgh PA.

· Women and Science Conference held at the Wisconsin Dells in October 2002. The organization aims at increasing the number of women in academia and enhancing the experience of women already present in academia.

Professional Affiliations:

· Member of the Association for Computing Machinery (ACM).

· Member of the ACM-SIGCSE (Special Interest Group for Computer Science Education).

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Vanathi Gopalakrishnan, Ph.D. Assistant Professor of Medicin

Posted by bmsceiaa on November 19, 2006

Vanathi Gopalakrishnan, Ph.D.
Assistant Professor of Medicine and Intelligent Systems
Forbes Tower, Suite 8084
Center for Biomedical Informatics
University of Pittsburgh
(412) 648-6677
vanathi@cbmi.upmc.edu
Welcome to my home page. Click here for my dissertation. Here is a short version of my resume.
Name Etymology: Tamil – Vaanam = “Sky” and Nadhi = “River”… Vanathi = “The Milky Way” or “The river in the sky”

Current Appointments and Teaching:
Core Faculty Member, Center for Biomedical Informatics
Associate Faculty Member, Center for Computational Biology and Bioinformatics
Secondary Faculty Appointment, Intelligent Systems Program

Fall 2004: Introduction to Bioinformatics (ISSP 2081 / BIOINF 2051) – Core course in Biomedical Informatics

Fall 2003: Introduction to Bioinformatics (ISSP 2081 / BIOINF 2051) – Core course in Biomedical Informatics

Summer 2003: Sequence Analysis Laboratory – Directed Study

Spring 2003: Bioinformatics@Pitt

Fall 2002: Introduction to Bioinformatics (ISSP 2081 / BIOINF 2051) – Core course in Biomedical Informatics

Summer 2002: Computational Biology Laboratory – Directed Study

Spring 2002: Bioinformatics Journal Club

Fall 2001: Introduction to Bioinformatics (ISSP 2080) – Core course in Biomedical Informatics

Spring 2001: Bioinformatics@Pitt

Fall 2000: Introduction to Bioinformatics (ISSP 2080) – Core course in Biomedical Informatics

Spring 2000: Introduction to Bioinformatics (ISSP 2080)

Research Interests:
Bioinformatics – Machine learning and data mining applied to clinical proteomics, gene expression analysis, macromolecular crystallization, secondary structure prediction and neuroinformatics

Current Advisees:
Doctoral students:
David Dougall – Center for Biomedical Informatics
Pinaki Mitra – Center for Biomedical Informatics
Philip Ganchev – Intelligent Systems Program
Eric Williams – Intelligent Systems Program
Jonathan Lustgarten – Center for Biomedical Informatics
Yan Liu – CMU SCS (with Prof. Jaime Carbonell)
Graduate students:
Venkatesh Jitender (co-advising with Dr. Judith-Klein Seetharaman)
Zhong Guo – CBMI and Department of Surgery, UPMC
Andrew Post, M.D. – CBMI – Doctoral Dissertation Committee Member
Changqing Ma – Interdisciplinary Biomedical Program – Doctoral Dissertation Committee Member

Publications:
Yan Liu, Jaime Carbonell, Peter Weigele, Vanathi Gopalakrishnan. Segmentation Conditional Random Fields: A New Approach for Protein Fold Recognition. To appear in Proceedings of The Ninth Annual International Conference on Research in Computational Molecular Biology (RECOMB 2005).
Vanathi Gopalakrishnan, Gary Livingston, Daniel Hennessy, Bruce Buchanan, John Rosenberg. Machine-Learning Techniques for Macromolecular Crystallization Data. Acta Cryst. (2004). D60, 1705-1716
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan. Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinformatics. 2004, 5: 122.
Yan Liu, Jaime Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan. Comparison of Probabilistic Combination Methods for Protein Secondary Structure Predictions. Bioinformatics. 2004 Nov 22;20(17):3099-107.
Yan Liu, Jaime Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan. Context Sensitive Vocabulary And its Application in Protein Secondary Structure Prediction. Proceedings of the 27th annual ACM Conference on Research and Development in Information Retrieval (ACM SIGIR 2004), pp. 538-9. July 2004.
Vanathi Gopalakrishnan, Eric Williams, Srikanth Ranganathan, Robert Bowser, Merit E. Cudkowic, Max Novelli, Wanda Lattazi, Andreas Gambotto, Billy W. Day. Proteomic Data Mining Challenges in Identification of Disease-Specific Biomarkers from Variable Resolution Mass Spectra. In Proceedings of SIAM Bioinformatics Workshop, Society for Industrial and Applied Mathematics International Data Mining Conference, Lake Buena Vista, FL. April 2004. pages 1- 10.
Fan Li, Yiming Yang, Gulsum Anderson, Judith Klein-Seetharaman, Venkatesh Jitendar, Vanathi Gopalakrishnan. Constructing Genetic Networks from Microarray Data Using Recursive Ridge Regression (RRR). Biological Language Modeling Conference Proceedings, Carnegie Mellon University, November 2003.
Yan Liu, Jaime Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan. Prediction of Parallel and Antiparallel -sheets using Conditional Random Fields. Biological Language Modeling Conference Proceedings, Carnegie Mellon University, November 2003.
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg. A Simple Simulator of Protein Crystallization. Journal of Applied Crystallography, volume 35, part 6, pages 727-733 (2002). Electronic Reprint. Copyright © International Union of Crystallography J. Appl. Cryst. 35, 727—733
Chanqing Ma, Vanathi Gopalakrishnan, David Peters, Robert Ferrell. Decision-Tree Learning Based Characterization of the Global Effects of Cocaine Abuse on Gene Expression in the Rat Brain. Best Brief Report Paper presented at the Annual Advancing Pathology Imaging, Informatics and the Internet (APIII) conference, 2002 , February 2002.
Denver Dash, Vanathi Gopalakrishnan. Modeling DNA Splice Regions by Learning Bayesian Networks. CBMI Tech Report , December 2001.
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg. Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization In the Proceedings of the Eight International Conference on Intelligent Systems for Molecular Biology, pages 171-180, La Jolla, California, 2000.
Vanathi Gopalakrishnan. Parallel Experiment Planning: Macromolecular Crystallization Case Study. Ph.D. Thesis. University of Pittsburgh, December 1999.
Vanathi Gopalakrishnan, Bruce Buchanan. Representing and Learning Temporal Relationships among Experimental Variables. In Proceedings of the Fifth International Workshop on Temporal Representation and Reasoning (TIME-9Cool, pages 148-155, Sanibel Island, Florida, 1998.
Vanathi Gopalakrishnan. Inducing design biases that characterize successful experimentation in weak-theory domains: TIPS. In Proceedings of AAAI-96 , Seattle, Washington, 1996.
Vanathi Gopalakrishnan, Daniel Hennessy, Bruce Buchanan, Devika Subramanian, Patricia A. Wilcosz, K. Chandrasekhar, John M. Rosenberg. Preliminary Tests of Machine Learning Tools for the Analysis of Biological Macromolecular Crystallization Data. Tech Report ISL-94-17, Department of Computer Science, University of Pittsburgh.
Daniel Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, Devika Subramanian, John M. Rosenberg. Induction of Rules for Biological Macromolecule Crystallization. In Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, pages 179-187, Palo Alto, California, August, 1994.
Vanathi Gopalakrishnan, Daniel Hennessy, Bruce Buchanan, Devika Subramanian. The Crystallographer’s Assistant. Abstract in Proceedings of the Twelfth National Conference on Artificial Intelligence, page 1451, Seattle, Washington, August, 1994.
Vanathi Gopalakrishnan, Dan Hennessy. The Crystallographer’s Assistant. Abstract in the Proceedings of the Fourth Keck Symposium on Computational Biology, Pittsburgh, Pennsylvania, 1993.
Vanathi Gopalakrishnan, Bruce Buchanan. Determining the Effectiveness of Using Expert Systems to Enable Rapid Response During Emergencies. In Proceedings of the World Congress on Expert Systems , pages 1983-1991, Orlando, Florida, 1991.
Bruce Buchanan, Vanathi Gopalakrishnan. A Distributed Problem Solving Model for Emergency Response. Poster Presentation. In Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing. Dallas, TX, December 1990.

Vanathi Gopalakrishnan

Visiting Assistant Professor

Department of Medicine, Section of Medical Informatics

Secondary appointment in the Intelligent Systems Program

University of Pittsburgh
vanathi@cs.pitt.edu

412-647-7131
http://www.cs.pitt.edu/~vanathi

GOALS

· To be involved in research, teaching and service in the fields of Computer Science, Intelligent Systems and Bioinformatics.

· To collaborate on interdisciplinary projects involving the application of existing computational tools to biological problems, as well as the creation of new tools.

· To help establish a curriculum and a world-class research program in Bioinformatics and Computational Biology.

· To apply machine learning and statistical techniques to pattern recognition and information retrieval from data.

EDUCATION

· Ph.D., Computer Science December 1999

University of Pittsburgh, PA, USA

Major Advisor: Prof. Bruce G. Buchanan

· M.S., Computer Science 1989 – 1991
University of Pittsburgh, PA, USA

· B.E., Computer Engineering & Technology 1983 – 1988
BMS College of Engineering, Bangalore, India
Passed in First Class with Distinction

RESEARCH AND PROFESSIONAL EXPERIENCE

· Bioinformatics@Pitt Spring 2001
Introduced a new colloqium type 1-credit course that aims to bring together faculty and students from diverse departments in the Schools of Medicine and Faculty of Arts and Sciences that are involved in bioinformatics related research.

· Instructor (Introduction to Bioinformatics) Spring 2000, Fall 2000
Introduced a new graduate level core course at the Center for Biomedical Informatics, University of Pittsburgh. This course aims to provide an understanding of the computational aspects of biological problems and existing methods in computational biology through case studies.

· Co-founder of Intelligent Systems Software,Inc. 1996-1998
Start-up company based in Clearwater, FL, that specializes in medical image analysis and is building

intelligent tools to assist radiologists in detection of breast cancer. ISMD has been awarded Phase I

and Phase II grants from NIH as part of the SBIR (Small Business Innovative Research) program.

· Research Assistant 1989 – 1997

Intelligent Systems Lab, Dept. of Computer Science, University of Pittsburgh

· Teaching Assistant /Instructor Sept 1993 – Dec 1993

University of Pittsburgh, Dept. of Computer Science

· Research in Computational Biology May 1992 – Sept 1992

Prof. Jude Shavlik’s Machine Learning Group, University of Wisconsin, Madison, WI

· Software Design and Implementation June 1991 – Sept 1991

Systems Modeling Corporation, Sewickley, PA

· Systems Executive May 1988 – June 1989

WIPRO Information Technology Limited, Bangalore, India

· Bachelor’s degree Projects May 1987 – May 1988

BMS College of Engineering, Bangalore, India

PUBLICATIONS

· Denver Dash, Vanathi Gopalakrishnan.Modeling DNA Splice Regions by Learning Bayesian Networks. Submitted to the Ninth International Conference on Intelligent Systems for Molecular Biology, February 2001.

· Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg. Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization. In the Proceedings of the Eight International Conference on Intelligent Systems for Molecular Biology, pages 171-180, La Jolla, California, 2000.

· Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg. A Model for Simulating Hypothetical Protein Crystallization Behaviors. Being submitted to the Journal of Computational Biology.

· Vanathi Gopalakrishnan. Parallel Experiment Planning: Macromolecular Crystallization Case Study. Ph.D. Thesis. Department of Computer Science, University of Pittsburgh, December 1999.

· Vanathi Gopalakrishnan and Bruce Buchanan. Representing and Learning Temporal Relationships among Experimental Variables, pages 148-155, In proceedings of the Fifth International Workshop on Temporal Representation and Reasoning (TIME-9Cool, Sanibel Island, Florida, 1998.

· Vanathi Gopalakrishnan. Inducing design biases that characterize successful experimentation in weak-theory domains: TIPS. In Proceedings of AAAI-96, Seattle, Washington, 1996.

· Vanathi Gopalakrishnan, Daniel Hennessy, Bruce Buchanan, Devika Subramanian, Patricia A. Wilcosz, K. Chandrasekhar, John M. Rosenberg. Preliminary Tests of Machine Learning Tools for the Analysis of Biological Macromolecular Crystallization Data. Tech Report ISL-94-17.

· Daniel Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, Devika Subramanian, John M. Rosenberg. Induction of Rules for Biological Macromolecule Crystallization. In Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, pages 179-187, Palo Alto, California, August, 1994.

· Vanathi Gopalakrishnan, Dan Hennessy, Bruce Buchanan and Devika Subramanian. The Crystallographer’s Assistant, Abstract in Proceedings of the Twelfth National Conference on Artificial Intelligence, page 1451, Seattle, Washington, August, 1994.

· Vanathi Gopalakrishnan, Dan Hennessy. The Crystallographer’s Assistant, Abstract in the Proceedings of the Fourth Keck Symposium on Computational Biology, Pittsburgh, Pennsylvania, 1993.

· Vanathi Gopalakrishnan, Bruce Buchanan. Determining the Effectiveness of Using Expert Systems to Enable Rapid Response During Emergencies, In Proceedings of the World Congress on Expert Systems, pp. 1983-1991, Orlando, Florida, 1991.

· Bruce Buchanan, Vanathi Gopalakrishnan. A Distributed Problem Solving Model for Emergency Response, Poster Presentation, Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, Dallas, TX, December 1990.

PRESENTATIONS / INVITED TALKS

· Parallel Experiment Planning, Macromolecular Crystallization, and Computational Biology, invited seminar talk jointly sponsored by the Center for Automated Learning and Discovery and the Language Technologies Institute at the Carnegie Mellon University, Pittsburgh, September, 2000.

· Bioinformatics, invited talk at the Introduction to Medical Informatics Course, Center for Biomedical Informatics, University of Pittsburgh, September 2000.

· Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization, presented

at the Eighth International Conference on Intelligent Systems for Molecular Biology – ISMB 2000,

La Jolla, California, August, 2000.

· Representing and Learning Temporal Relationships among Experimental Variables at the Fifth International Workshop on Temporal Representation and Reasoning (TIME-9Cool, Sanibel Island, Florida, 1998.

· Symbolic Induction of Heuristics to Aid Macromolecular Crystallization, Institute of Systems Science, National University of Singapore, July, 1995.

· Induction of Rules for Biological Macromolecule Crystallization, at the Second International Conference on Intelligent Systems for Molecular Biology, Stanford University, Palo Alto, California, August, 1994.

AWARDS

· Best Trainee Award, WIPRO Information Technology Ltd, India (1988)

· W.M. Keck Fellowship in Computational Biology (Sept 1994 – August 1995)

· Funded by a research grant from NIH for the Crystallographer’s Assistant (Sept 1995 – 1997)

· Co-investigator (20% time) on a grant from NIH for a project involving UPMC Pathology Informatics group headed by Dr. Mike Becich, researching the Molecular Reclassification of Prostate Cancer.

· Pending: Recently submitted a proposal to NIMH entitled “Genomic Analysis of Morphine Sensitization in the Rat” where I am listed as co-investigator for the data mining and bioinformatics aspects of the project. The PI is Prof. Robert E. Ferrell, an acknowledged expert in Human Genetics, affiliated with the Graduate School of Public Health, University of Pittsburgh.

REFERENCES

Prof. Bruce Buchanan, Department of Computer Science, University of Pittsburgh

Prof. John Rosenberg, Department of Biological Sciences, University of Pittsburgh

Prof. Charles Friedman, Director of the Center for Biomedical Informatics, University of Pittsburgh.

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Dr. Shiva Sastry – Assistant Professor of Electrical & C

Posted by bmsceiaa on November 19, 2006

Shiva Sastry
Assistant Professor of Electrical & Computer Engineering
B.S. (Electrical Engineering), Bangalore University, 1984.
M.S. (Electrical Engineering), Indian Institute of Science, 1987.
M.S. (Computer Science), University of Central Florida, 1992.
Ph.D. (Computer Engineering & Science), Case Western Reserve, 1998.

351 ASEC
(330) 972-7646

ssastry@uakron.edu
Vita

New Call for Papers 2004 International Conference on Embedded Systems and Applications

Courses Taught
4450-330 Computer Systems
4450-420/520 Object Oriented Design

Research Interests
Sensor-Actuator Networks, Graph Algorithms, Distributed and Pervasive Computing,
Software Systems Architectures, Modeling and Simulation, and Software Verification.

Professional Activities
Member Next Generation SERCOS core team
IEEE Computer Society, Member

Honors and Accomplishments
Rockwell Automation Innovation Awards, 2001
Rockwell Software Outstanding Contribution Award, 2000
Rockwell Automation Business Impact Award, 1997, 1998
Rockwell Automation Customer Satisfaction Award, 1997
Xerox Outstanding Cooperation Award, 1993
Invited member, Phi Kappa Phi, 1990

Published Works
From Structure To Performance: Algorithms and Heuristics for Graph Bandwidth Minimization, Ph.D. Dissertation, Case Western Reserve University, May 1998.
Trends in Distributed Real-time Control Systems, 1996, Rockwell Science Center Report. (with Dr. Jon Agre and Dr. Loren Clare)
HDC Node Execution Model, Rockwell Automation report, 1995 -ACS Paper.
Temporal Constraint Satisfaction, M.S. Thesis, Department of Computer Science, University of Central Florida, December 1992.
Modeling and Performance Evaluation of Protection Systems Using Petri Nets, TR#73, Department of Electrical Engineering, Indian Institute of Science, 1987. (with Dr. Jenkins and Dr. Khincha)
Computer Aided Quarry Scheduling, TR#K-103-QS, Macmet India Pvt. Ltd., 1987.
An Expert System for Quarry Scheduling and Operations Planning, TR#K-103-ES, Macmet India Pvt. Ltd., 1987.
XLOCKS: A Rule based system for monitoring interlocks in a Switchyard Simulator, TR#-T-001-AI, Macmet India Pvt. Ltd., 1987.
Coordination and Performance Evaluation of Protection Systems – A Formal Approach, M.S. Thesis, Department of Electrical Engineering, Indian Institute of Science, March 1987.
A Novel 8-Node Parallel Processing System, IEEE Vincent Bendix Award Report, IEEE Student Branch, Indian Institute of Science, 1987.
A Blood Cell Counting System, Final Project for B.E., BMS College of Engineering, Bangalore University, September 1984.

Patents
U.S. Patent Number: 6,104,963, August 15, 2000, “System For and Method of Allocating Processing Tasks of a Control Program Configured to Control a Distributed Control System”
U.S. Patent Number: 6,161,051, December 12, 2000, “System, Method, and Article of Manufacture for Utilizing External Models for Enterprise Wide Control” (with D.R. Haffeman, J.C. Hoskins, and R.E. Brooks, 2 Claims)

Other Interests
Accomplished Indian classical musician

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Vijay Vittal – Murray and Ruth Harpole Professor, IOWA S UNI

Posted by bmsceiaa on November 19, 2006

Vijay Vittal
Murray and Ruth Harpole Professor, Electric Power and Energy Systems

1126 Coover Hall
Department of Electrical & Computer Engineering
Iowa State University
Ames, Iowa 50011
Email: vvittal@iastate.edu
Phone: (515) 294-8963
Fax: (515) 294-4263

http://class.ee.iastate.edu/vvittal/vittalwebpage/indexvv.htm

http://ecpe.ece.iastate.edu/Faculty/faculty.cfm?ISUID=vvittal

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Bhagyavati (2001) Assistant Professor Computer Science

Posted by bmsceiaa on November 19, 2006

Bhagyavati (2001) Assistant Professor Computer Science

Columbus State University
Bhagyavati (2001) Assistant Professor Computer Science

BE, BMS College of Engineering (India);

MS in Computer Engineering, MS in Computer Science,
PhD, University of Louisiana at Lafayette.

http://csc.colstate.edu/bhagyavati/

Contact Information
Email: bhagyavati@colstate.edu
Office Phone: 706/565-3519
Dept. Phone: 706/568-2410
Dept. Fax: 706/565-3529

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Sumathi Gopal – MS Rutgers – Doing Phd at WINLAB, Rutgers

Posted by bmsceiaa on November 19, 2006

I am a native of Bangalore, India.

I graduated from BMS College of Engineering with a degree in Electronics and Communication, in 1998.

I did my Masters from Electrical Engineering Dept, Rutgers University. During this time, I was a Graduate Assistant at CAIP, Rutgers University, NJ, USA. My advisors were Dr. James Flanagan, Dr. Attila Medl and Dr. Richard Mammone.

I then worked as a Research Associate atC&C Research Labs, NEC USA Inc. located in Princeton, NJ. followed by a brief employment at Corporate Research, Thomson Inc., also located in Princeton NJ.

I am currently doing my PhD in wireless networking at WINLAB, Rutgers University. I am supported by a fellowship from Corporate Research, Thomson Inc.

Office Location : CoRE 513/ CoRE 529
Phone # : 732 445 0603/732 445 0614/609 987 7327
Email : sumathi@winlab.rutgers.edu

Hmm.. so who is ..? Hello! I am a PhD student under the able guidance of Dr.Dipankar Raychaudhuri (Director, WINLAB). I completed my Bachelor Of Engineering (‘Electronics and Communication’) at Bangalore University (B.M.S. College of Engineering), India, and my Masters of Science(Digital Signal Processing) at the Electrical Engineering Dept, Rutgers University.

What am I doing here ? My two years of work experience in C&C Research Labs, NEC USA Inc., and Corporate Research, Thomson Multimedia, introduced and enticed me to the world of Computer Networking. WINLAB is a great place to be, to pursue my research interests which include wireless networking, media delivery and systems analysis. My current research pertains to developing new network architectures and protocols to enable efficient media delivery over wireless networks.

Good News! The past decade has seen tremendous advancement in wireless technology with the advent and widespread deployment of wireless WANs (cellular phone technology) and LANs (802.11 protocols, HiperLAN). The wireless LANs in vogue today have facilitated high bandwidth availability. “A picture is worth a thousand words”… this is an understatement when the ‘picture’ under consideration is a video or a multimedia presentation! With the simultaneous advent of Third
Generation Cellular Networks that are IP-based (and internetworking a near possibility), the next generation ‘killer applications’ are expected to be multimedia based.

Well, who said it would be easy!! There are several challenges for media delivery over wireless networks. Media applications are characterized by stringent QoS (Quality of Service) requirements such as strict upper bounds on end-to-end bulk delay and delay-jitter. Wireless channels are characterised by bursty errors, dynamic variation – even blackouts – depending on the incumbent fade. 802.11b does not have provision for QoS. Thus despite availability of high bandwidth, 802.11b networks in the current state cannot support quality multimedia data.

Hmm.. that’s challenging! We propose to approach the problem from two perspectives:

1. Application level channel adaptivity by dynamically adapting encoding/transcoding rates to available channel capacity (in collaboration with Corporate Research, Thomson Inc, Princeton, NJ).

As the first step, we are working on an appropriate channel model at the packet level. There is little prior research in this regard for the wireless channel under consideration – 802.11b. Yet, the following publications provide valuable insight:

<A> Nguyen G.T., Katz R. H., “A Trace-based Approach for Modeling Wireless Channel Behavior”, Proceedings of the Winter Simulation Conference, Coronado, CA. December 8-11, 1996

<B> A. Konrad, A.D. Joseph., R. Ludwig, B.Y. Zhao, “A Markov-Based Channel Model Algorithm for Wireless Networks”, Report No. UCP/CSD-01-1142, Computer Science Division, University of California, Berkeley, 2001.

The traditional method of representing the wireless channel with a two-state markov model is flawed as it is based on the faulty assumption that wireless channel errors are random, while in actual, they occur in bursts. The above two papers suggest alternative ways to model channel errors, based on a trace-based approach.

2. An adaptive transport protocol for efficient media delivery over wireless networks.

The purpose of this transport protocol is to dynamically adapt to requirements specified by the application above considering the channel condition below. We believe that some level of inter-layer optimization will drastically improve performance of media delivery over wireless networks.

This approach results from understanding characteristics of media applications and wireless networks, and limitations of existing transport protocols lsuch as UDP and TCP. These are two extremes in a spectrum of transport protocol functionality. Media applications require intermediate services, such as fully reliable service on few packets (such as I-frames for MPEG video) and tolerable loss of others (P and B-frames). They can also tolerate frame delays within certain upper bounds. The transport layer is also the lowest layer in the OSI protocol stack, that is equipped to percieve the end-to-end network picture. It thus becomes an obvious choice for network adaptation. But this adaptation needs to be honed to the characteristics of the end-to-end network. On the otherhand, TCP and for that matter even the Real-time Transport Protocol (RTP) are specifically optimized for the wired Internet where packet losses are primarily due to network congestion and buffer overflow.

Following are some publications that elaborate on transport protocols that accept service specifications from an application, and likewise adapts their transmission.

1. Senac P., Exposito E., Diaz M., “Towards a New Generation of Generic Transport Protocols”, Proceedings of Thyrrhenian International Workshop on Digital Communications (IWDC 2001), Taormina, Italy, September 17-20, 2001. http://www.laas.fr/GCAP/docs/publications/IDWCSenacExpositoDiaz.pdf

2. Dairaine L., Diaz M., Rojas-Cardenas L.; Senac P., “An adaptive transport service for multimedia streams”, Multimedia Computing and Systems, 1999. IEEE International Conference on , Volume: 2 , Jul 1999

We are also exploring new and more efficient network architectures required for improved media delivery.

The Research section cites many more publications from which we derive related work.

I welcome comments and feedback, so please feel free to contact me if you find this work interesting and would like to know more…

Sumathi Gopal

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Priya Narasimhan – Assistant Professor of ECE and SCS

Posted by bmsceiaa on November 19, 2006

Priya Narasimhan
Assistant Professor of ECE and SCS

DEPT : Electrical & Computer Engineering
OFFICE : A303 Hamerschlag Hall
TELEPHONE : (412) 268-8801
FAX : (412) 268-2338
EMAIL : priyan@ece.cmu.edu
PERSONAL WEB : http://www-2.cs.cmu.edu/~priya/
ASSISTANT : Matthew Koeske

Education:
Ph.D., 1999
Electrical & Computer Engineering
U.C. Santa Barbara

M.S., 1995
Electrical & Computer Engineering
U.C. Santa Barbara

B.S., 1993
Physics, Mathemetics, & Electronics
BMS College for Women

RESEARCH INTERESTS:

My research interests encompass all aspects of dependable distributed systems. In particular, my research focuses on dependability for embedded and enterprise applications based on middleware, such as EJB, Java RMI, CORBA, DCOM, Web Services and OSGi. My current research projects include the development of distributed systems and tools aimed at:

Real-Time Fault-Tolerant Middleware Today’s middleware standards make it possible to have either real-time or fault tolerance in isolation. Supporting both real-time and fault tolerance is challenging because the two QoS properties often impose conflicting requirements on the system. This research focuses on strategies (i.) to reconcile these conflicts, (ii.) to identify the real-time vs. fault tolerance trade-offs, and (iii.) to continue to deliver adequate real-time and fault tolerance, even in the face of faults and changing resources.

Adaptive Survivable Infrastructures Systems are increasingly being connected to the Internet, which is an inherently unreliable, insecure communication medium that is susceptible to network partitioning and disconnected operation. This is aggravated further when an application straddles multiple different enterprises, each with its own security/reliability strategies and guarantees. This research focuses on developing adaptive survivable infrastructures to support Internet-based applications that must continue to operate in the face of faults, malicious attacks, loss of resources, software upgrades, different user/usage profiles and different applications.

As natural extensions of these research areas, I am also interested in survivability for wireless systems, metrics to quantify the dependability of systems, and mechanisms for proactive fault tolerance and recovery.

I have designed and implemented systems, such as Eternal and Immune, to provide transparent reliability (protection against crash and communication faults) and survivability (additional protection in the face of malicious subversion of parts of the system), respectively, to CORBA and Java applications. My experience with developing these systems led to my participation in establishing the Fault Tolerant CORBA industrial standard. As the CTO and VP of Engineering of Eternal Systems, Inc., I have had the additional opportunity to witness the results of my research have a commercial impact.

IN THE NEWS:

Carnegie Mellon Wins Best Paper Award; Faculty Help Plan RTSS
Narasimhan Speaks At WinECE Welcome Dinner
Narasimhan Appointed to ACM Doctoral Dissertation Subcommittee
Narasimhan Wins Best Paper Award at Joint Systems and Software Engineering Symposium
Narasimhan Receives NSF Career Award
Narasimhan Wins IBM Faculty Partnership Award

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