User:Prof.Dr.Wasiq Muhammad Khan/sandbox

Wasiq M. Khan

Wasiq Khan Born	1951(age 66-68)[1] Occupation	Electrical and Telecommunication Engineer Years active	1976 – present Known for	Teaching Electrical and Telecommunication Engineering in Electrical Department UET Lahore,Pakistan. Wasiq Khan (born 1951) is a noted Electrical and Telecommunication Engineer, who worked in Electrical Engineering Department,University of Engineering & Technology,Lahore,Pakistan. He is known for his research in Continuous Speech Recognition using Artificial Networks and Hidden Markov Models.

Contents [hide] 1	Early life and background 2	Career 3	Filmography 4	References 5	External links Early life and background[edit source] Khan was brought up in Vehari, Punjab,Pakistan., his father was a Lawyer by profession. He graduated from Faculty of Aligarh Muslim University,Aligarh India. He used practice Law in Delhi High Court and Supreme Court India.After partition he used to practice Law in Lahore High Court and Supreme Court,Lahore,Punjab,Pakistan.

Career[edit source] Wasiq M. Khan (born 19 October 1951 in Vehari,Punjab,, Pakistan ) is a highly cited[1][2] Pakistani researcher in the field of Continuous Speech Recognition. He is a member of IEEE[3][4] and PEC.[5] Wasiq M. Khan taught forty years in Electrical Engineering Department,University of Engineering & Technology,Lahore,Punjab,Pakistan.He also taught in University of Windsor,Ontario,Canada and University of Guelph Ontario,Canada.

At the time of his retirement in 2005, Wasiq M. Khan was Associate Professor in Electrical Engineering Department,University of Engineering & Technology,Lahore,Punjab,Pakistan.Wasiq M. Khan's resignation led to a mismanagement of University Administration who were dismayed at what they claimed to be mismanagement at the state-run Pakistani universities.[6]

Contents [hide] 1	Biography 2	Research interests 3	Selected works 3.1	Books 3.2	Papers 4	References 5	External links Biography[edit source] A biography can be found at the Department of System Engineering Department,University of Guelph,Ontario,Canada, where Dr. Wasiq M. Khan has been a visiting Professor.[7]

Wasiq M. Khan received his BSc in Electrical Engineering from the University of Engineering and Technology, Lahore in 1975.

He then received his MS and PhD in Electrical and Computer Engineering from the University of Windsor,Ontario,Canada, respectively.

He was with the Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan from 1976 to 2006 where he held the position of a Associate Professor. He also served as Director of the Microwave Theory and Techniques Laboratory, Communications Laboratory and the Postgraduate Program at the Department of Electrical Engineering as well as the Directorate of Research Extension & Advisory Services of the University of Engineering and Technology, Lahore. He purportedly tendered his resignation from the Department of Electrical Engineering University of Engineering and Technology, Lahore because of mismanagement of administration, notably not properly better living conditions and mismanagement of University Administration.

Khan has been associated with the Institute for Electrical and Electronics and Communication Engineering.Wasiq M. Khan was serving as visiting Professor in University of Windsor,Ontario,Canada and University of Guelph,Ontario,Canada.I taught courses Digital Signal Progressing with MATLAB Programming and Digital Electronics Devices.I taught Automatic Feed Back Control Systems.

Other institutions that he has been associated with as a Professor University of Lahore,Punjab Institute of Computer Science,Lahore,Punjab,Pakistan.Humber Institute of Advance Learning and Science & Technology,Toronto,Ontario,Canada.Sheridan Institute of Advance Learning and Science & Technology,Oakville,Ontario,Canada.George Brown Institute of Advance Learning and Science & Technology,Toronto,Ontario,Canada.

Research interests[edit source] Wasiq M. Khan's research interests include Continuous Speech Recognition, Microwave Theory and Techniques. He is, particularly, interested in Continuous Speech Recognition in Arabic.The Holy Book QUARAN is also considered.

One of Wasiq M. Khan's most-cited research publication: The Holy Quran was also considered for Arabic Continuous Speech Recognition which used Sphinx- !V engine based HMMs and obtained word recognition rate 99.21% for about 35 minutes of training speech data and 7 minutes of testing speech data.

Each phoneme is modelled as a sequence of HMM states.In standard HMM based systems, the likelihood ( also known as the emission probabilities of a certain frame observation being produced a state is estimated using traditional Gaussian mixture models ).The use of HMM with Gaussian mixture has several notable advantages such as a rich mathematical framework efficient learning and decoding algorithm and an easy integrations of multiple knowledge sources.Two notable successes in the academic community in developing high performance large vocabulary, speaker independent Continuous Speech Recognition System are the HMM tools, known as the Hidden Markov Models Toolkit ( HTK ) developed at Cambridge University.And the Sphinx System developed at Carnegie Melon University over the last two decades.The sphinx System tools can be used for developing wide spectrum of Speech Recognition tasks.As far as Arabic digits, broadcasts new command and control, the Holy Quran and Arabic proverbs,I did research Continuous Speech Recognition using Artificial Neural Networks and Hidden Markov Models in Arabic.

Wasiq M.Khan's research says illiteracy is a serious problem that the Arab world is facing nowadays.In order to solve the problem,thge education provided should not only solve illiteracy,but also provide the skills required to react successfully to the rising challenges of technology and the information age.In this research, we present part of a new approach in combat language and computer illiteracy at the same time.Teaching and Learning using Information Technology ( TLIT ).Users of the approach will be familiar with reading, writing and understanding the standard Arabic language as well as being acquired with computer and information technology.We will embark upon the speech recognition component of the TLIT project.This component takes the speech produced by the learner and performs recognition in oder to determine whether or not the spoken word is the one he/she ought to say.This will serve as a major language teaching tool for the users of the system.For instance, in case an error in speech recognition was encountered the system can prompt the user to repeat this task.

Selected works[edit source] Books[edit source] Khan, Wasiq M.(2016-2017). Fundamentals of Continuous Speech Recognition