Download Resume - Cheriton School of Computer Science

Shehroz S. Khan
314-23, Lascelles Boulevard,
Toronto, ON
M4V 2B9, Canada
Phone :
Email :
Website :
+1 519 781 2232
[email protected]
https://cs.uwaterloo.ca/∼s255khan
Profile
More than 10 years of research and development experience in the following:
• Machine Learning, Data Mining, Analytics, Forecasting, Clustering and Classification.
• Probabilistic Classifiers, Activity Recognition, Fall and Anomaly Detection, One-class classification, Feature Extraction/Selection, Signal Processing and Visual Aesthetics.
• Algorithm Development, Testing and Analyzing various data types: Wearable Motion Sensors,
Chemical Spectra, ECG, Search Engine Marketing, Audio/Video and Network Intrusion.
• Problem Formulation and Identification, Product Research, Technology and Literature Reviews, Requirement Gathering.
Education
• PhD (Machine Learning), David R. Cheriton School of Computer Science, University of Waterloo, Canada (2016). Thesis title “Classification and Decision-theoretic framework for detecting and reporting unseen falls”, Supervisor - Dr. Jesse Hoey.
• M.S. (by Research), College of Engineering and Informatics, National University of Ireland
Galway, Ireland (2010). Thesis title “Kernels for One Class Nearest Neighbour Classification
and Comparison of Chemical Spectral Data”, Supervisor - Dr. Michael Madden.
• Bachelor of Science and Engineering (Computers), Aligarh Muslim University, India (1997).
Research Publications
• 20 Refereed International Publications → 5 Journals, 11 Conferences and 4 Workshops.
• Google Scholar Citations – 720
Programming Skills
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Languages
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Packages
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Databases, Web Server:
Operating Systems
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Java, PHP, HTML, C++, C
Matlab, R, Caffe, Deeplearning4j, MatConvnet, Libsvm
PostgreSQL, Apache
LINUX, Windows Platforms
Professional Experience
Post-doctoral Researcher, Toronto Rehabilitation Institute, Canada, Mar’16 – till date
• Developed a novel approach for ensemble of Autoencoders to efficiently identify unseen falls
using wearable sensors and improved the state-of-the art.
• Designed new algorithms for human fall detection in the absence of their training data using
X-factor Hidden Markov Models.
• Performed Signal Processing, Data Cleaning Feature Extraction/Selection from sensors.
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Quantitative Researcher, iProspect - Synovate India Pvt. Ltd, India, May’10 – Aug’10
• Developed annual revenue forecasting models for retail clients and prediction models for
organic searches.
• Proposed new ranking method to recommend keywords for optimizing web-page content.
Research Associate, National University of Ireland Galway, Ireland, Sept’08 – Aug’09
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Developed a novel similarity metric to improve searching of mixtures of chemical compounds.
Proposed a new generalized KNN based one-class classification algorithm.
Performed various clustering and visualization techniques on complex chemical spectra.
Published significant research outcomes in refereed top journal and conferences.
Generated Requirement Analysis and Product Research reports.
Senior Systems Analyst, Fidelity Investments Ireland, Ireland, Jul’07 – Apr’08
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Proposed a new hybrid collaborative search model to increase relevancy of search results.
Worked in liaison with User Interface designers to propose better search navigation experience.
Coordinated knowledge transfer with academic researchers.
Produced Technology Survey, Semantic Search Review and Business Objectives documents.
Performed extensive critiques on Search Personalization, Collaborative Search and Search 2.0.
Senior Software Engineer, America Online India Pvt Ltd, India, Aug’04 – May’06
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Proposed a new KNN based multi-attribute approach for classification of web contents.
Implemented efficient classifiers for web and text mining for improving the legacy systems.
Worked on training/testing the SVM classifiers for categorizing audio/video assets.
Developed test scripts, generated ROC, DET curves and performed systems evaluation.
Produced literature survey document to explore feature extraction/selection methods.
Scientist, Defence Research and Development Organization, India, Dec’97 – Jul’04
• Conceived original idea and successfully developed several novel cluster initialization algorithms for numeric and categorical dataset.
• Developed a new next-bit prediction algorithm to decipher stream ciphers using Linear Feedback Shift Registers.
• Developed an original multi-view feature based random subspace ensemble method.
Under Graduate Dissertation–“Neural Networks to Diagnose Cardio-Vascular Response”
• Developed original idea to identify various maladies caused by arrhythmia of human heart.
• Successfully trained neural network classifier using Back Propagation for classification.
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Refereed Publications
International Journals
1. One-Class Classification: Taxonomy of Study and Review of Techniques, Shehroz S. Khan
and Michael G. Madden, The Knowledge Engineering Review, Volume 29, Issue 03, page
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345-374, Cambridge
University Press, 2014 (I.F.: 0.766)
2. Cluster center initialization algorithm for K-modes clustering, Shehroz S. Khan and Amir
Ahmad, Expert Systems with Applications, 40(18), pp 7444–7456, 2013 (I.F. 2.240)
3. New Similarity Metrics for Raman Spectroscopy, Shehroz S. Khan and Michael G. Madden,
Chemometrics and Intelligent Laboratory Systems, 114, pp 99–108, 2012 (I.F.: 2.321)
4. Analyzing a Class of Pseudo-Random Bit Generator through Inductive Machine Learning
Paradigm, Shri Kant, Shehroz S. Khan, Intelligent Data Analysis, 10(6), pp 539–554, 2006
(I.F. 0.5)
5. Cluster Center Initialization Algorithm for K-Means Clustering, Shehroz S. Khan and Amir
Ahmad, Pattern Recognition Letters, 25(11), pp 1293–1302, 2004 (I.F. 1.551) – Featured in
Science Direct TOP25 Hottest Articles for the period of July-Sept’2004, Oct-Dec’2007
and Apr-June’2008, Google Scholar Citations – 425.
International Conferences
1. dtFall – Decision Theoretic Framework to Report Unseen Falls, Shehroz S. Khan and
Jesse Hoey, 10th EAI International Conference on Pervasive Computing Technologies for
Healthcare, Mexico, 2016
2. X-Factor HMMs for detecting falls in the absence of fall-specific training data, Shehroz S.
Khan, Michelle E. Karg, Dana Kulic and Jesse Hoey, 6th International Work-conference on
Ambient Assisted Living (IWAAL 2014), Belfast, U.K., 2014
3. Evaluating Visual Aesthetics in Photographic Portraiture, Shehroz S. Khan and Daniel
Vogel, 8th International Symposium on Computational Aesthetics in Graphics, Visualization,
and Imaging (CAe), pp 55–62, Annecy, France, 2012
4. Bayesian Multiple Imputation Approaches for One-Class Classification, Shehroz S. Khan,
Jesse Hoey and Daniel Lizotte, 25th Canadian Conference on AI, LNAI 7310, pp. 331–336.
Springer, 2012
5. A Survey of Recent Trends in One Class Classification, Shehroz Khan and Michael Madden,
Proceedings of the 20th Irish Conference on Artificial Intelligence and Cognitive Science, LNAI
6206, pp 181–190, Springer-Verlag, 2009, Google Scholar Citations – 114.
6. Two Level Anomaly Detection Classifier, Azeem Khan, Shehroz S. Khan, The 2008 International Conference On Computer and Electrical Engineering (ICCEE 2008), pp 65–69,
Phuket, Thailand, 2008
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7. Application of Decision Trees for Portfolio Diversification in Indian Share Market, Shehroz
S. Khan, Amir Ahmad, 1st International Conference on Information Systems, Technology
and Management (ICISTM’07), India, 2007
8. Computation of Initial Modes for K-Modes Clustering Algorithm Using Evidence Accumulation, Shehroz S. Khan, Shri Kant, 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp 2784–2789, Hyderabad, India, 2007
9. Classificatory Prediction and Primitive Polynomial Construction of Linear Feedback Shift
Registers Using Decision Tree Approach, Shehroz S. Khan, 5th International Conference
on Knowledge Based Computer Systems’ 2004
10. Generating K-prototype Points for Unsupervised Learning, Amir Ahmad and Shehroz S.
Khan, in the 1st Indian International Conference on Artificial Intelligence, Hyderabad, India,
2003
11. Computing Initial points using Density Based Multiscale Data Condensation for Clustering
Categorical data, Shehroz S. Khan and Amir Ahmad, in the 2nd International Conference
on Applied Artificial Intelligence, ICAAI’03, Kolhapur, India, 2003
International Workshops
1. A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks, Shehroz
S. Khan, Graduate Student Symposium, 26th Canadian Conference on AI, Regina, LNCS
volume 7884, pp 340-345, Springer, Heidelberg, 2013.
2. Towards the Detection of Unusual Temporal Events during Activities Using HMMs, Shehroz
S. Khan, Michelle E. Karg, Jesse Hoey and Dana Kulic, SAGAWARE: 2nd International
Workshop on Situation, Activity and Goal Awareness, UbiComp, Pittsburgh, USA, 2012
3. Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering Approach, Shehroz S. Khan and Amir Ahmad, 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, SDM, Anaheim, California, USA, 2012
4. Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems with
Encoding of a Psychological Model Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Dan Jackson and Andrew Monk . ICAPS workshop on Knowledge
Engineering for Planning and Scheduling, Freiburg, Germany, 2011
Academic Activities / Achievements
• Selected for AGEWELL Post-doctoral fellowship – one of 29 awardee among 169 applicants.
• Reviewer of Conferences – AAAI’15, BMVC’14, CRV’14, CBMS’14, AAAI’13, Canadian
AI’13, HEALTHINF’13, FG’13, ECCV’12, UAI’12, AAMAS’12, IJCAI’11, ICMIA’10.
• Reviewer of Journals – IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on
Cybernetics, Pattern Recognition Letters, Pattern Recognition, Information Sciences, Knowledge Based systems, IEEE J. on Biomedical and Health Informatics, Expert Systems and Applications, Computer Methods and Programs in Biomedicine , Fuzzy Sets and Applications,
Computational Intelligence, J. of Chemometrics, J. of Mathematical Problems in Engg.
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• Awarded Fidelity’s Outstanding Service Team Award as a member of the Search Team.
• Jointly holds the Indian copyright no. SW-561/2001 for the software “Search of Stable Clusters in unknown environment”.
• “Certified Software Quality Professional” certificate passed with grade ‘A’, organized by
STQC Directorate, Ministry of Communications and Information Technology, Govt. of India.
Scholarships
• David R. Cheriton Scholarship, University of Waterloo, Canada (2011-2013, 2013-2015).
• Enterprise Ireland Research Scholarship for Masters study, NUI Galway, Ireland (2006-2007).
Extra Curricular
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Ontario representative for AGEWELL Advisory Committee.
Top Writer’2016 on Quora in Machine Learning and related disciplines.
Participated in the Fall’2011 at UW Computer Science New-Grad Mentorship Program.
Participated in the IT Association of Galway’s Schools Initiative Program, Ireland.
Headed the Fun and Sports Committee at AOL, India.
Member of Cultural Committee at DRDO, India