Dr RiteshAjoodhaInterestsProbabilistic Graphical Models Education Causation Knowledge Representation and ReasoningLogic Data Mining Image Processing Machine Learning Spectral Analysis Algorithmic Composi-tion Pattern Recognition

education2018ndash2019 Postgraduate Diploma in Higher Education The University of the Witwatersrand Johannesburg

Specialisation in Higher Education Honours equivalent NQF8

2015ndash2017 Doctor of Philosophy Computer Science The University of the Witwatersrand JohannesburgTHESIS TITLE rdquoInfluence Modelling and Learning between Dynamic Bayesian Net-works using Score-based Structure LearningrdquoThis thesis explores novel techniques to track influence between partially observablestochastic processes by using structure learning for Bayesian networks

2015 Licentiate Degree of Music Trinity College LondonThe standard of piano performance is equivalent to the performance component oncompletion of a full-time undergraduate course at a conservatoire or university

2014 Master of Science Computer Science The University of the Witwatersrand JohannesburgDISSERTATION TITLE rdquoAutomatic Music Genre Classificationrdquo - with distinctionThis dissertation explores novel techniques formusic genre classification to improvemusic information retrieval and recommendation services

2010ndash2013 Bachelor of Science with Honours The University of the Witwatersrand JohannesburgSpecialization in Computer Science - with distinctionRESEARCH REPORT rdquoContext-free Grammars Gaussian Distributions and GeneticAlgorithms in Algorithmic Music CompositionrdquoThis research report explored a novel methodology to composemusic using CharlesDarwinrsquos theory of evolution and natural selectionHonours Coursework Introduction to Research Methods Compilers Analysis of Al-gorithms Image Processing Knowledge Representation and Reasoning Computa-tional Molecular Biology Multi-agent Systems Research ReportComputer Science Coursework Architecture and Networks III Formal Languages andAutomata III Software Engineering III Algorithms and Artificial Intelligence III Applic-ation and Analysis of Algorithms II Database Fundamentals II Operating Systems IIProgramming Languages II Computer Science IPure Mathematics Coursework Real Analysis III Mathematical Economics III GroupTheory III Complex Analysis III Coding and Cryptography III Number Theory III Dis-crete Mathematics II Linear Algebra II Group Theory II Advanced Analysis II Multi-variable Calculus II Basic Analysis II Calculus I Algebra I

2012 Associate Degree of Music Trinity College LondonPIANO RECITAL - with distinctionThe standard of performance is equivalent to the performance component of thefirst year in a full-time undergraduate course at a conservatoire or university

2010 Grade 8 Pianoforte Examination Royal School of Music LondonSpecialization in Piano - with distinction

experience

contactSchool of CSAM

TWK MSB UG 17

+27 74 418 3978+27 11 717 6188

riteshajoodhawitsaczahttpriteshajoodhacoza

languagesEnglish amp Afrikaans

programminghearts Java TensorFlowPython C++ C C

PHP MatLabJavaScript

RubySQL amp HTML

TypesettingLATEX Microsoft Office

2018ndashNow Tenure Lecturer Computer Science and Applied Mathematics The University of the WitwatersrandTenure lecturer for Data Structures and Algorithms (COMS2004) and Basic Com-puter Organisation (COMS1015) for electrical engineering and computer science stu-dents Supervisor for Honours Masters and PhD Students Also the COMS repres-entative on the Faculty of Science Teaching and Learning Committee

2017ndash2018 Associate Lecturer Computer Science and Applied Mathematics The University of the WitwatersrandAssociate lecturer for Data Structures and Algorithms (COMS2004) and Basic Com-puter Organisation (COMS1015) for electrical engineering and computer science stu-dents Supervisor for Honours and Masters Students

2015ndash2016 Sessional Lecturer Computer Science and Applied Mathematics The University of the WitwatersrandSessional lecturer for Data Structures and Algorithms (COMS2004) and Basic Com-puter Organisation (COMS1015) for electrical engineering and computer science stu-dents

2013ndash2015 Senior Tutor Computer Science The University of the WitwatersrandDeveloped Laboratory and otherwritten assessments for first year computer sciencestudents Examined and assessed studentsrsquo submissions this includedmarking testand assignments

awards and Funding2019 Wits Staff Bursary The University of the Witwatersrand

Valued at R40 000 Toward the second year Postgraduate Diploma in Higher Educa-tion

2018 Wits Staff Bursary The University of the WitwatersrandValued at R40 000 Toward the first year Postgraduate Diploma in Higher Education

2017 Teaching Development Grant (TDG) University of PretoriaValued at R50 000 This funding is for emerging staff at selected SAHEIswho are alsosimultaneously registered for a MPhD The purpose of the project is to support thedevelopment of better qualified in-service mathematics and statistics academics atall higher education institutions in South Africa and in so doing better ensure amoresustainable academic pipeline

2017 Deep Learning Indaba Research Prize The University of the WitwatersrandPrize Machine Learning A probabilistic Perspective Kevin Murphy

2017 Wits Staff Bursary The University of the WitwatersrandValued at R40 000 The bursary is based on full-time employment by the university

2016 Scarce Skills Doctoral Scholarship National Research FoundationValued at R110 000 The award of an NRF scholarship to a student will be basedon past current and potential academic performance Selection criteria will includeacademicmerit research potential leadership qualities andprevious awards variousprizes and honours

2015 Scarce Skills Doctoral Travel Scholarship for PRASA National Research FoundationValued at R7 993 To attend the Pattern Recognition Association of South Africa con-ference Selection criteria includes academic merit research potential leadershipqualities and previous awards various prizes and honours

2015 Scarce Skills Doctoral Scholarship National Research FoundationValued at R100 000 The award of an NRF scholarship to a student will be basedon past current and potential academic performance Selection criteria will includeacademicmerit research potential leadership qualities andprevious awards variousprizes and honours

2015 Winner of the International Scholar Laureate Case Study Competition Sydney AustraliaTopic rdquoSuccessfully Positioning and Marketing a Product Down-Underrdquo Creatingand pitching an advertising campaign to Australian executives The product advert-ised was a music recommendation system using content-based features to marketAustralian musical artists

2015 International Scholar Laureate Nomination and Scholarship Pennsylvania WashingtonValued at $1 000 Nomination to join the 2015 International Scholar Laureate Pro-gram (ISLP) delegation on Business amp Entrepreneurship in Melbourne and SydneyAustralia The top 5 of students from distinguished Honour societies were nomin-ated

2015 Doctoral Postgraduate Merit Award Scholarship The University of the WitwatersrandValued at R40 000 Awarded to students who pass with distinction in their Mastersof Science degree

2014 Masters NRF Innovation Scholarship National Research FoundationValued at R40 000 The award of an NRF scholarship to a student will be based onpast current and potential academic performance Selection criteriawill include aca-demic merit research potential leadership qualities and previous awards variousprizes and honours

2014 New Member Golden Key Chapter Award The University of the WitwatersrandValued at R2 500 This scholarship award is presented to Ritesh Ajoodha in recogni-tion of superior scholastic attainments and outstanding academic merit In witnesswhereof the seal of the society and the signatures of the council officers thereof arehereunto affixed

2014 Masters Postgraduate Merit Award Scholarship The University of the WitwatersrandValued at R40 000 Awarded to students who pass with distinction in their Honoursyear of a Bachelor of Science degree

2014 Golden Key International Honours Society The University of the WitwatersrandAwarded to top 15 of academic achievers

2010 University Entrance Scholarship The University of the WitwatersrandValued at R4 000 per distinction

publications2019R Ajoodha and A Jadvas (2019) Comparing at-risk Profiles between Faculty Programmesusing Biographical and Enrollment Observations at a South African University In process tobe submitted to the International Journal of Science and Mathematics Education 2 March2019

R Ajoodha and A Jadvas (2019) Identifying at-risk undergraduate students using Biograph-ical and Enrollment Observations for Mathematical Science Degrees at a South African Uni-versity Submitted to the International Journal of Science and Mathematics Education 2March 2019

2018R Ajoodha and B Rosman (2018) Advancing Intelligent Systems by Learning the InfluenceStructure between Partially Observed Stochastic Processes using IoT Sensor Data Acceptedin AAAI SmartIoT AI Enhanced IoT Data Processing for Intelligent Applications New OrleansRiverside New Orleans Lousiana USA May 2018

R Ajoodha (2018) Influence Modelling and Learning between Dynamic Bayesian Networksusing Score-based Structure Learning PhD Thesis Supervised by Dr B Rosman TheUniversity of the Witwatersrand South Africa

2017

R Ajoodha and B Rosman (2017) Tracking Influence between Naiumlve Bayes Models us-ing Score-Based Structure Learning The Pattern Recognition Association of South Africa(PRASA) IEEE accredited

R Ajoodha B Rosman (2017) Computationally Tracking Direct Influence between DynamicTopic Models Presented at the Deep Learning Indaba Symposium session

2015R Ajoodha R Klein B Rosman (2015) Single-labelled Music Genre Classification usingContent-based Features Pattern Recognition Association of South Africa IEEE Port Eliza-beth South Africa

R Ajoodha (2015) Automatic Music Genre Classification Masters Dissertation Supervisedby Dr B Rosman and Dr R Klein The University of the Witwatersrand South Africa

2014R Ajoodha (2014) Automatic Music Genre Classification Research Poster SAICSIT MampDSymposium Computer Science Stream Leriba Lodge Centurion South Africa

R Ajoodha R Klein M Jakovljevic (2014) Using Statistical Models and Evolutionary Al-gorithms in Algorithmic Music Composition In Khosrow-Pour Mehdi editor The Encyclope-dia of Information Science and Technology 3rd edition IGI Global International Publisher ofProgressive Academic Research Books and Journals Volume 10 Number doi104018978-1-4666-5888-2 pages e37893 Hershey Pennsylvania United States

2013R Ajoodha (2013) Context-free Grammars Gaussian Distributions and Evolutionary Al-gorithms in Algorithmic Music Composition Research Report Supervised by Dr R KleinThe University of the Witwatersrand South Africa

Unpublished ManuscriptsRitesh Ajoodha and Benjamin Rosman Structure Discovery of Direct Influence between Pro-cesses Represented by Hidden Markov Models (Oct 5 2017)

Ritesh Ajoodha and Benjamin Rosman Computationally Tracking Direct Influence betweenHierarchical DynamicBayesianNetworks usingScore-basedStructure Learning (July 1 2017)

Ritesh Ajoodha and Benjamin Rosman Structure Discovery of Direct Influence between Pro-cesses Represented by Hidden Markov Models Manuscript to be submitted November2017

Honours Masters and PhD Supervision2019

1 Harmony Mncube (2019) Honours Report Predicting student Performance using first yearmarks Data Science University of the Witwatersrand

2 Tasneem Abed (2019) Honours Report A Programme recommendation engine Predicting stu-dent performance in Degrees Data Science University of the Witwatersrand

3 Jared Naidoo (2019) Honours Report Identifying at risk students using Biographical and En-rollment observations in the Earth Sciences Data Science University of the Witwatersrand

4 Prince Ngema (2019) Honours Report Predicting student performance using Enrollment Fig-ures Data Science University of the Witwatersrand

5 Luyanda Makhoba (2019) Honours Report Using Psychometric Data and matric marks to re-commend suitability for a degree Data Science University of the Witwatersrand

6 Tamlin Love (2019) Honours Report Building Bayesian Influence Ontologies Data ScienceUniversity of the Witwatersrand

7 Noluthando Mngadi (2019) Masters Dissertation Identifying at risk students using Biograph-ical and Enrollment Obsevations in the Biological Sciences Data Science University of theWitwatersrand

8 Evans Molahlegi Thulare (2019) Masters Dissertation Prediction with Incomplete Data DataScience University of the Witwatersrand

9 Macdeline Raesibe Mathye (2019) Masters Dissertation Identifying at risk students using Bio-graphical and Enrollment Observations in the Physical Sciences at a South African UniversityData Science University of the Witwatersrand

201810 Evans Molahlegi Thulare (2018) Masters Dissertation Prediction with Incomplete Data Data

Science University of the Witwatersrand

11 Macdeline Raesibe Mathye (2018) Masters Dissertation An assessment of student perform-ance at higher institutions Data Science University of the Witwatersrand

12 Uvir Bhagirathi (2018) Honours research report Automatic Venue Allocation Computer Sci-ence University of the Witwatersrand

201713 Vaughn Ho (2017) Honours research report Content-based Music Recommendation Using

Probabilistic Models Computer Science University of the Witwatersrand

14 Gcobisile (2017) Honours research report Predicting the Completion of a Studentrsquos ScienceDegree based only on their First-year Marks Computer Science University of the Witwater-srand

15 Jettiniel (2017) Honours research report Automatic Labelling of Student Results as PCDRET MBR and MRNM Computer Science University of the Witwatersrand

Academic Citizenship2019 Teaching and Learning Committee Member School of CSAM

Coordinates all teaching and learning activities for the School of Computer Science

Oct-2018 The African Roundtable (ART) GautengThe Africa Education Leadership Roundtable 2018 serve to enhance collaborationin research and development in the areas of education leadership andmanagementParticipants are drawn from universities and training institutions on the African con-tinent as well as from global partners The Roundtable theme was Education Lead-ership and Management in Africa Implications of the Fourth Industrial RevolutionAt this meeting regional and global partners had a chance to discuss current theimplications of the Fourth Industrial Revolution and its likely impact on EducationLeadership Management in Africa from the perspective of research needs the latestresearch trends and future directionsI was asked to present to the topic ldquoThe Teacher as Designer of Learningrdquo on day twoof the programme I chose to speak to an outcome-based approach to teaching andlearning and presented some cutting-edge technologies that can be used to teach ef-fectively The outcomes of themeeting was to develop an agenda for research in thedomains of leadership andmanagement and the implications of the Fourth IndustrialRevolution for its impact on the African continent and in the region to enhanced per-sonal and professional relationships that can form the foundation for future researchand development collaboration and to strengthened linkages between researchersand practitioners especially focusing on education improvement issues in Africa

2018 Presented at EMASA East LondonThe Education Management Association of South Africa (EMASA) is an excellentplatform influence teaching and learning activities in South Africa I presented onusing Machine Learning to inform management and development of teaching andlearning practice My talk attempted to make sophisticated machine learning tech-nologies accessible to education researchers to perform prediction on their data

2018 Presented at the SCI-BONO Discovery Centre Newtown JohannesburgThe SCI-BONO Discovery Center is located at the historic Electric Workshop in thecultural precinct of Newtown Johannesburg The Centre attempts to provide sup-port to learners for mathematics science and technology education I was asked tospeak at this venue to highlight some of the challenges by address four questionsWhat do learners struggle with most in mathematics What approaches can we useto teach mathematics How can we motivate the study of mathematics and Whatcan we do to provide more support to mathematics learners

2019 Class Representative Coordinator School of CSAMMediates the interactions between class representatives and COMS staff Co-organising workshops with the Teaching and learning commitee to better positionhonours students as tutors

2018 The Deep Learning Indaba X Cape TownThe Deep Learning Indaba is a machine learning and artificial intelligence confer-ence The goal of the conference was to give learners the opportunity to learn fromAfrican researchers and pioneers opportunities for one-to-one timewith experts andto learn the basic or advanced topics of machine learning I was asked to speakat the conference about the benefits of using Bayesian approaches over deep ap-proaches as well as present a tutorial on Bayesian learning (representation infer-ence and learning) The conference was held at the University of Cape Town (UCT)httpsindabaxgithubiots-schedule

20172018 Targeting Talent Programme (TTP) 2017-2018 WITSIt is always a privilege forme to participate in the Targetting Talent Programme (TTP)Launched in 2007 the TTP has expanded and reached 2188 learners fromacross thecountry

2017 Deep Learning Indaba Instructor Deep learning Indaba 2017Tutored Deep learning Indaba participants

2017 Science Spaza Gauteng Department of EducationDeveloped a worksheet to introduce machine learning concepts to grade 9-10learners in rural areas through a publication called the Science SPAZA worksheetMore information about the science SPAZA worksheet can be found at httpwwwsciencespazaorg

2016 Curriculum Planning Science Mathematical Science Faculty of ScienceThe lsquoWits University OFFICIALrsquo channel strives to deliver information to inform ourapplicants about the opportunities that our courses can provide them for the futureThis includes helping applicants understand more about the programme that theyhave chosen as well as how to go about selecting their courses I was asked to bean academic advisor who would explain and demonstrate how to selected coursesoffered by the mathematical sciences since knowing which courses to choose isrequired at registration

2017 Presented at Bayesian Summer School Bettyrsquos Bay Western CapePresented at the summer school on Bayesian Structure Learning and performinginference on graphical models The Bayesian summer school is part of the Chis En-gelbrecht Summer School in Theoretical Physics The summer school focused onmodelling problems and performing inference using Bayesian principals The sum-mer school welcomed esteemed academics like John Skilling the author of Bayesiannested sampling Udo von Toussaint a world renowned expert in Bayesian inferencemodel complexity reduction and chaos expansion and real-time analysis and KevinH Knuth who demonstrated a new way of modelling relationships between objectsusing influence from which you can derive the fundamental laws of physics

2014 Research Symposium South African Institute of Computer Science and Information TechnologistsPresented on automatic music genre classification

2015 Winner of the International Scholar Laureate Case Study Competition Sydney AustraliaTopic rdquoSuccessfully Positioning and Marketing a Product Down-Underrdquo Creatingand pitching an advertising campaign to Australian executives The product advert-ised was a music recommendation system using content-based features to marketAustralian musical artists

2015 International Scholar Laureate Nomination and Scholarship Pennsylvania WashingtonValued at $1 000 Nomination to join the 2015 International Scholar Laureate Pro-gram (ISLP) delegation on Business amp Entrepreneurship in Melbourne and SydneyAustralia The top 5 of students from distinguished Honour societies were nomin-ated

2015 Doctoral Postgraduate Merit Award Scholarship The University of the WitwatersrandValued at R40 000 Awarded to students who pass with distinction in their Mastersof Science degree

2014 Masters NRF Innovation Scholarship National Research FoundationValued at R40 000 The award of an NRF scholarship to a student will be based onpast current and potential academic performance Selection criteriawill include aca-demic merit research potential leadership qualities and previous awards variousprizes and honours

2014 New Member Golden Key Chapter Award The University of the WitwatersrandValued at R2 500 This scholarship award is presented to Ritesh Ajoodha in recogni-tion of superior scholastic attainments and outstanding academic merit In witnesswhereof the seal of the society and the signatures of the council officers thereof arehereunto affixed

2014 Masters Postgraduate Merit Award Scholarship The University of the WitwatersrandValued at R40 000 Awarded to students who pass with distinction in their Honoursyear of a Bachelor of Science degree

2014 Golden Key International Honours Society The University of the WitwatersrandAwarded to top 15 of academic achievers

2010 University Entrance Scholarship The University of the WitwatersrandValued at R4 000 per distinction

publications2019R Ajoodha and A Jadvas (2019) Comparing at-risk Profiles between Faculty Programmesusing Biographical and Enrollment Observations at a South African University In process tobe submitted to the International Journal of Science and Mathematics Education 2 March2019

R Ajoodha and A Jadvas (2019) Identifying at-risk undergraduate students using Biograph-ical and Enrollment Observations for Mathematical Science Degrees at a South African Uni-versity Submitted to the International Journal of Science and Mathematics Education 2March 2019

2018R Ajoodha and B Rosman (2018) Advancing Intelligent Systems by Learning the InfluenceStructure between Partially Observed Stochastic Processes using IoT Sensor Data Acceptedin AAAI SmartIoT AI Enhanced IoT Data Processing for Intelligent Applications New OrleansRiverside New Orleans Lousiana USA May 2018

R Ajoodha (2018) Influence Modelling and Learning between Dynamic Bayesian Networksusing Score-based Structure Learning PhD Thesis Supervised by Dr B Rosman TheUniversity of the Witwatersrand South Africa

2017

R Ajoodha and B Rosman (2017) Tracking Influence between Naiumlve Bayes Models us-ing Score-Based Structure Learning The Pattern Recognition Association of South Africa(PRASA) IEEE accredited

R Ajoodha B Rosman (2017) Computationally Tracking Direct Influence between DynamicTopic Models Presented at the Deep Learning Indaba Symposium session

2015R Ajoodha R Klein B Rosman (2015) Single-labelled Music Genre Classification usingContent-based Features Pattern Recognition Association of South Africa IEEE Port Eliza-beth South Africa

R Ajoodha (2015) Automatic Music Genre Classification Masters Dissertation Supervisedby Dr B Rosman and Dr R Klein The University of the Witwatersrand South Africa

2014R Ajoodha (2014) Automatic Music Genre Classification Research Poster SAICSIT MampDSymposium Computer Science Stream Leriba Lodge Centurion South Africa

R Ajoodha R Klein M Jakovljevic (2014) Using Statistical Models and Evolutionary Al-gorithms in Algorithmic Music Composition In Khosrow-Pour Mehdi editor The Encyclope-dia of Information Science and Technology 3rd edition IGI Global International Publisher ofProgressive Academic Research Books and Journals Volume 10 Number doi104018978-1-4666-5888-2 pages e37893 Hershey Pennsylvania United States

2013R Ajoodha (2013) Context-free Grammars Gaussian Distributions and Evolutionary Al-gorithms in Algorithmic Music Composition Research Report Supervised by Dr R KleinThe University of the Witwatersrand South Africa

Unpublished ManuscriptsRitesh Ajoodha and Benjamin Rosman Structure Discovery of Direct Influence between Pro-cesses Represented by Hidden Markov Models (Oct 5 2017)

Ritesh Ajoodha and Benjamin Rosman Computationally Tracking Direct Influence betweenHierarchical DynamicBayesianNetworks usingScore-basedStructure Learning (July 1 2017)

Ritesh Ajoodha and Benjamin Rosman Structure Discovery of Direct Influence between Pro-cesses Represented by Hidden Markov Models Manuscript to be submitted November2017

Honours Masters and PhD Supervision2019

1 Harmony Mncube (2019) Honours Report Predicting student Performance using first yearmarks Data Science University of the Witwatersrand

2 Tasneem Abed (2019) Honours Report A Programme recommendation engine Predicting stu-dent performance in Degrees Data Science University of the Witwatersrand

3 Jared Naidoo (2019) Honours Report Identifying at risk students using Biographical and En-rollment observations in the Earth Sciences Data Science University of the Witwatersrand

4 Prince Ngema (2019) Honours Report Predicting student performance using Enrollment Fig-ures Data Science University of the Witwatersrand

5 Luyanda Makhoba (2019) Honours Report Using Psychometric Data and matric marks to re-commend suitability for a degree Data Science University of the Witwatersrand

6 Tamlin Love (2019) Honours Report Building Bayesian Influence Ontologies Data ScienceUniversity of the Witwatersrand

7 Noluthando Mngadi (2019) Masters Dissertation Identifying at risk students using Biograph-ical and Enrollment Obsevations in the Biological Sciences Data Science University of theWitwatersrand

8 Evans Molahlegi Thulare (2019) Masters Dissertation Prediction with Incomplete Data DataScience University of the Witwatersrand

9 Macdeline Raesibe Mathye (2019) Masters Dissertation Identifying at risk students using Bio-graphical and Enrollment Observations in the Physical Sciences at a South African UniversityData Science University of the Witwatersrand

201810 Evans Molahlegi Thulare (2018) Masters Dissertation Prediction with Incomplete Data Data

Science University of the Witwatersrand

11 Macdeline Raesibe Mathye (2018) Masters Dissertation An assessment of student perform-ance at higher institutions Data Science University of the Witwatersrand

12 Uvir Bhagirathi (2018) Honours research report Automatic Venue Allocation Computer Sci-ence University of the Witwatersrand

201713 Vaughn Ho (2017) Honours research report Content-based Music Recommendation Using

Probabilistic Models Computer Science University of the Witwatersrand

14 Gcobisile (2017) Honours research report Predicting the Completion of a Studentrsquos ScienceDegree based only on their First-year Marks Computer Science University of the Witwater-srand

15 Jettiniel (2017) Honours research report Automatic Labelling of Student Results as PCDRET MBR and MRNM Computer Science University of the Witwatersrand

Academic Citizenship2019 Teaching and Learning Committee Member School of CSAM

Coordinates all teaching and learning activities for the School of Computer Science

Oct-2018 The African Roundtable (ART) GautengThe Africa Education Leadership Roundtable 2018 serve to enhance collaborationin research and development in the areas of education leadership andmanagementParticipants are drawn from universities and training institutions on the African con-tinent as well as from global partners The Roundtable theme was Education Lead-ership and Management in Africa Implications of the Fourth Industrial RevolutionAt this meeting regional and global partners had a chance to discuss current theimplications of the Fourth Industrial Revolution and its likely impact on EducationLeadership Management in Africa from the perspective of research needs the latestresearch trends and future directionsI was asked to present to the topic ldquoThe Teacher as Designer of Learningrdquo on day twoof the programme I chose to speak to an outcome-based approach to teaching andlearning and presented some cutting-edge technologies that can be used to teach ef-fectively The outcomes of themeeting was to develop an agenda for research in thedomains of leadership andmanagement and the implications of the Fourth IndustrialRevolution for its impact on the African continent and in the region to enhanced per-sonal and professional relationships that can form the foundation for future researchand development collaboration and to strengthened linkages between researchersand practitioners especially focusing on education improvement issues in Africa

2018 Presented at EMASA East LondonThe Education Management Association of South Africa (EMASA) is an excellentplatform influence teaching and learning activities in South Africa I presented onusing Machine Learning to inform management and development of teaching andlearning practice My talk attempted to make sophisticated machine learning tech-nologies accessible to education researchers to perform prediction on their data

2018 Presented at the SCI-BONO Discovery Centre Newtown JohannesburgThe SCI-BONO Discovery Center is located at the historic Electric Workshop in thecultural precinct of Newtown Johannesburg The Centre attempts to provide sup-port to learners for mathematics science and technology education I was asked tospeak at this venue to highlight some of the challenges by address four questionsWhat do learners struggle with most in mathematics What approaches can we useto teach mathematics How can we motivate the study of mathematics and Whatcan we do to provide more support to mathematics learners

2019 Class Representative Coordinator School of CSAMMediates the interactions between class representatives and COMS staff Co-organising workshops with the Teaching and learning commitee to better positionhonours students as tutors

2018 The Deep Learning Indaba X Cape TownThe Deep Learning Indaba is a machine learning and artificial intelligence confer-ence The goal of the conference was to give learners the opportunity to learn fromAfrican researchers and pioneers opportunities for one-to-one timewith experts andto learn the basic or advanced topics of machine learning I was asked to speakat the conference about the benefits of using Bayesian approaches over deep ap-proaches as well as present a tutorial on Bayesian learning (representation infer-ence and learning) The conference was held at the University of Cape Town (UCT)httpsindabaxgithubiots-schedule

20172018 Targeting Talent Programme (TTP) 2017-2018 WITSIt is always a privilege forme to participate in the Targetting Talent Programme (TTP)Launched in 2007 the TTP has expanded and reached 2188 learners fromacross thecountry

2017 Deep Learning Indaba Instructor Deep learning Indaba 2017Tutored Deep learning Indaba participants

2017 Science Spaza Gauteng Department of EducationDeveloped a worksheet to introduce machine learning concepts to grade 9-10learners in rural areas through a publication called the Science SPAZA worksheetMore information about the science SPAZA worksheet can be found at httpwwwsciencespazaorg

2016 Curriculum Planning Science Mathematical Science Faculty of ScienceThe lsquoWits University OFFICIALrsquo channel strives to deliver information to inform ourapplicants about the opportunities that our courses can provide them for the futureThis includes helping applicants understand more about the programme that theyhave chosen as well as how to go about selecting their courses I was asked to bean academic advisor who would explain and demonstrate how to selected coursesoffered by the mathematical sciences since knowing which courses to choose isrequired at registration

2017 Presented at Bayesian Summer School Bettyrsquos Bay Western CapePresented at the summer school on Bayesian Structure Learning and performinginference on graphical models The Bayesian summer school is part of the Chis En-gelbrecht Summer School in Theoretical Physics The summer school focused onmodelling problems and performing inference using Bayesian principals The sum-mer school welcomed esteemed academics like John Skilling the author of Bayesiannested sampling Udo von Toussaint a world renowned expert in Bayesian inferencemodel complexity reduction and chaos expansion and real-time analysis and KevinH Knuth who demonstrated a new way of modelling relationships between objectsusing influence from which you can derive the fundamental laws of physics

2014 Research Symposium South African Institute of Computer Science and Information TechnologistsPresented on automatic music genre classification

R Ajoodha and B Rosman (2017) Tracking Influence between Naiumlve Bayes Models us-ing Score-Based Structure Learning The Pattern Recognition Association of South Africa(PRASA) IEEE accredited

R Ajoodha B Rosman (2017) Computationally Tracking Direct Influence between DynamicTopic Models Presented at the Deep Learning Indaba Symposium session

2015R Ajoodha R Klein B Rosman (2015) Single-labelled Music Genre Classification usingContent-based Features Pattern Recognition Association of South Africa IEEE Port Eliza-beth South Africa

R Ajoodha (2015) Automatic Music Genre Classification Masters Dissertation Supervisedby Dr B Rosman and Dr R Klein The University of the Witwatersrand South Africa

2014R Ajoodha (2014) Automatic Music Genre Classification Research Poster SAICSIT MampDSymposium Computer Science Stream Leriba Lodge Centurion South Africa

R Ajoodha R Klein M Jakovljevic (2014) Using Statistical Models and Evolutionary Al-gorithms in Algorithmic Music Composition In Khosrow-Pour Mehdi editor The Encyclope-dia of Information Science and Technology 3rd edition IGI Global International Publisher ofProgressive Academic Research Books and Journals Volume 10 Number doi104018978-1-4666-5888-2 pages e37893 Hershey Pennsylvania United States

2013R Ajoodha (2013) Context-free Grammars Gaussian Distributions and Evolutionary Al-gorithms in Algorithmic Music Composition Research Report Supervised by Dr R KleinThe University of the Witwatersrand South Africa

Unpublished ManuscriptsRitesh Ajoodha and Benjamin Rosman Structure Discovery of Direct Influence between Pro-cesses Represented by Hidden Markov Models (Oct 5 2017)

Ritesh Ajoodha and Benjamin Rosman Computationally Tracking Direct Influence betweenHierarchical DynamicBayesianNetworks usingScore-basedStructure Learning (July 1 2017)

Ritesh Ajoodha and Benjamin Rosman Structure Discovery of Direct Influence between Pro-cesses Represented by Hidden Markov Models Manuscript to be submitted November2017

Honours Masters and PhD Supervision2019

1 Harmony Mncube (2019) Honours Report Predicting student Performance using first yearmarks Data Science University of the Witwatersrand

2 Tasneem Abed (2019) Honours Report A Programme recommendation engine Predicting stu-dent performance in Degrees Data Science University of the Witwatersrand

3 Jared Naidoo (2019) Honours Report Identifying at risk students using Biographical and En-rollment observations in the Earth Sciences Data Science University of the Witwatersrand

4 Prince Ngema (2019) Honours Report Predicting student performance using Enrollment Fig-ures Data Science University of the Witwatersrand

5 Luyanda Makhoba (2019) Honours Report Using Psychometric Data and matric marks to re-commend suitability for a degree Data Science University of the Witwatersrand

6 Tamlin Love (2019) Honours Report Building Bayesian Influence Ontologies Data ScienceUniversity of the Witwatersrand

7 Noluthando Mngadi (2019) Masters Dissertation Identifying at risk students using Biograph-ical and Enrollment Obsevations in the Biological Sciences Data Science University of theWitwatersrand

8 Evans Molahlegi Thulare (2019) Masters Dissertation Prediction with Incomplete Data DataScience University of the Witwatersrand

9 Macdeline Raesibe Mathye (2019) Masters Dissertation Identifying at risk students using Bio-graphical and Enrollment Observations in the Physical Sciences at a South African UniversityData Science University of the Witwatersrand

201810 Evans Molahlegi Thulare (2018) Masters Dissertation Prediction with Incomplete Data Data

Science University of the Witwatersrand

11 Macdeline Raesibe Mathye (2018) Masters Dissertation An assessment of student perform-ance at higher institutions Data Science University of the Witwatersrand

12 Uvir Bhagirathi (2018) Honours research report Automatic Venue Allocation Computer Sci-ence University of the Witwatersrand

201713 Vaughn Ho (2017) Honours research report Content-based Music Recommendation Using

Probabilistic Models Computer Science University of the Witwatersrand

14 Gcobisile (2017) Honours research report Predicting the Completion of a Studentrsquos ScienceDegree based only on their First-year Marks Computer Science University of the Witwater-srand

15 Jettiniel (2017) Honours research report Automatic Labelling of Student Results as PCDRET MBR and MRNM Computer Science University of the Witwatersrand

Academic Citizenship2019 Teaching and Learning Committee Member School of CSAM

Coordinates all teaching and learning activities for the School of Computer Science

Oct-2018 The African Roundtable (ART) GautengThe Africa Education Leadership Roundtable 2018 serve to enhance collaborationin research and development in the areas of education leadership andmanagementParticipants are drawn from universities and training institutions on the African con-tinent as well as from global partners The Roundtable theme was Education Lead-ership and Management in Africa Implications of the Fourth Industrial RevolutionAt this meeting regional and global partners had a chance to discuss current theimplications of the Fourth Industrial Revolution and its likely impact on EducationLeadership Management in Africa from the perspective of research needs the latestresearch trends and future directionsI was asked to present to the topic ldquoThe Teacher as Designer of Learningrdquo on day twoof the programme I chose to speak to an outcome-based approach to teaching andlearning and presented some cutting-edge technologies that can be used to teach ef-fectively The outcomes of themeeting was to develop an agenda for research in thedomains of leadership andmanagement and the implications of the Fourth IndustrialRevolution for its impact on the African continent and in the region to enhanced per-sonal and professional relationships that can form the foundation for future researchand development collaboration and to strengthened linkages between researchersand practitioners especially focusing on education improvement issues in Africa

2018 Presented at EMASA East LondonThe Education Management Association of South Africa (EMASA) is an excellentplatform influence teaching and learning activities in South Africa I presented onusing Machine Learning to inform management and development of teaching andlearning practice My talk attempted to make sophisticated machine learning tech-nologies accessible to education researchers to perform prediction on their data

2018 Presented at the SCI-BONO Discovery Centre Newtown JohannesburgThe SCI-BONO Discovery Center is located at the historic Electric Workshop in thecultural precinct of Newtown Johannesburg The Centre attempts to provide sup-port to learners for mathematics science and technology education I was asked tospeak at this venue to highlight some of the challenges by address four questionsWhat do learners struggle with most in mathematics What approaches can we useto teach mathematics How can we motivate the study of mathematics and Whatcan we do to provide more support to mathematics learners

2019 Class Representative Coordinator School of CSAMMediates the interactions between class representatives and COMS staff Co-organising workshops with the Teaching and learning commitee to better positionhonours students as tutors

2018 The Deep Learning Indaba X Cape TownThe Deep Learning Indaba is a machine learning and artificial intelligence confer-ence The goal of the conference was to give learners the opportunity to learn fromAfrican researchers and pioneers opportunities for one-to-one timewith experts andto learn the basic or advanced topics of machine learning I was asked to speakat the conference about the benefits of using Bayesian approaches over deep ap-proaches as well as present a tutorial on Bayesian learning (representation infer-ence and learning) The conference was held at the University of Cape Town (UCT)httpsindabaxgithubiots-schedule

20172018 Targeting Talent Programme (TTP) 2017-2018 WITSIt is always a privilege forme to participate in the Targetting Talent Programme (TTP)Launched in 2007 the TTP has expanded and reached 2188 learners fromacross thecountry

2017 Deep Learning Indaba Instructor Deep learning Indaba 2017Tutored Deep learning Indaba participants

2017 Science Spaza Gauteng Department of EducationDeveloped a worksheet to introduce machine learning concepts to grade 9-10learners in rural areas through a publication called the Science SPAZA worksheetMore information about the science SPAZA worksheet can be found at httpwwwsciencespazaorg

2016 Curriculum Planning Science Mathematical Science Faculty of ScienceThe lsquoWits University OFFICIALrsquo channel strives to deliver information to inform ourapplicants about the opportunities that our courses can provide them for the futureThis includes helping applicants understand more about the programme that theyhave chosen as well as how to go about selecting their courses I was asked to bean academic advisor who would explain and demonstrate how to selected coursesoffered by the mathematical sciences since knowing which courses to choose isrequired at registration

2017 Presented at Bayesian Summer School Bettyrsquos Bay Western CapePresented at the summer school on Bayesian Structure Learning and performinginference on graphical models The Bayesian summer school is part of the Chis En-gelbrecht Summer School in Theoretical Physics The summer school focused onmodelling problems and performing inference using Bayesian principals The sum-mer school welcomed esteemed academics like John Skilling the author of Bayesiannested sampling Udo von Toussaint a world renowned expert in Bayesian inferencemodel complexity reduction and chaos expansion and real-time analysis and KevinH Knuth who demonstrated a new way of modelling relationships between objectsusing influence from which you can derive the fundamental laws of physics

2014 Research Symposium South African Institute of Computer Science and Information TechnologistsPresented on automatic music genre classification

8 Evans Molahlegi Thulare (2019) Masters Dissertation Prediction with Incomplete Data DataScience University of the Witwatersrand

9 Macdeline Raesibe Mathye (2019) Masters Dissertation Identifying at risk students using Bio-graphical and Enrollment Observations in the Physical Sciences at a South African UniversityData Science University of the Witwatersrand

201810 Evans Molahlegi Thulare (2018) Masters Dissertation Prediction with Incomplete Data Data

Science University of the Witwatersrand

11 Macdeline Raesibe Mathye (2018) Masters Dissertation An assessment of student perform-ance at higher institutions Data Science University of the Witwatersrand

12 Uvir Bhagirathi (2018) Honours research report Automatic Venue Allocation Computer Sci-ence University of the Witwatersrand

201713 Vaughn Ho (2017) Honours research report Content-based Music Recommendation Using

Probabilistic Models Computer Science University of the Witwatersrand

14 Gcobisile (2017) Honours research report Predicting the Completion of a Studentrsquos ScienceDegree based only on their First-year Marks Computer Science University of the Witwater-srand

15 Jettiniel (2017) Honours research report Automatic Labelling of Student Results as PCDRET MBR and MRNM Computer Science University of the Witwatersrand

Academic Citizenship2019 Teaching and Learning Committee Member School of CSAM

Coordinates all teaching and learning activities for the School of Computer Science

Oct-2018 The African Roundtable (ART) GautengThe Africa Education Leadership Roundtable 2018 serve to enhance collaborationin research and development in the areas of education leadership andmanagementParticipants are drawn from universities and training institutions on the African con-tinent as well as from global partners The Roundtable theme was Education Lead-ership and Management in Africa Implications of the Fourth Industrial RevolutionAt this meeting regional and global partners had a chance to discuss current theimplications of the Fourth Industrial Revolution and its likely impact on EducationLeadership Management in Africa from the perspective of research needs the latestresearch trends and future directionsI was asked to present to the topic ldquoThe Teacher as Designer of Learningrdquo on day twoof the programme I chose to speak to an outcome-based approach to teaching andlearning and presented some cutting-edge technologies that can be used to teach ef-fectively The outcomes of themeeting was to develop an agenda for research in thedomains of leadership andmanagement and the implications of the Fourth IndustrialRevolution for its impact on the African continent and in the region to enhanced per-sonal and professional relationships that can form the foundation for future researchand development collaboration and to strengthened linkages between researchersand practitioners especially focusing on education improvement issues in Africa

2018 Presented at EMASA East LondonThe Education Management Association of South Africa (EMASA) is an excellentplatform influence teaching and learning activities in South Africa I presented onusing Machine Learning to inform management and development of teaching andlearning practice My talk attempted to make sophisticated machine learning tech-nologies accessible to education researchers to perform prediction on their data

2018 Presented at the SCI-BONO Discovery Centre Newtown JohannesburgThe SCI-BONO Discovery Center is located at the historic Electric Workshop in thecultural precinct of Newtown Johannesburg The Centre attempts to provide sup-port to learners for mathematics science and technology education I was asked tospeak at this venue to highlight some of the challenges by address four questionsWhat do learners struggle with most in mathematics What approaches can we useto teach mathematics How can we motivate the study of mathematics and Whatcan we do to provide more support to mathematics learners

2019 Class Representative Coordinator School of CSAMMediates the interactions between class representatives and COMS staff Co-organising workshops with the Teaching and learning commitee to better positionhonours students as tutors

2018 The Deep Learning Indaba X Cape TownThe Deep Learning Indaba is a machine learning and artificial intelligence confer-ence The goal of the conference was to give learners the opportunity to learn fromAfrican researchers and pioneers opportunities for one-to-one timewith experts andto learn the basic or advanced topics of machine learning I was asked to speakat the conference about the benefits of using Bayesian approaches over deep ap-proaches as well as present a tutorial on Bayesian learning (representation infer-ence and learning) The conference was held at the University of Cape Town (UCT)httpsindabaxgithubiots-schedule

20172018 Targeting Talent Programme (TTP) 2017-2018 WITSIt is always a privilege forme to participate in the Targetting Talent Programme (TTP)Launched in 2007 the TTP has expanded and reached 2188 learners fromacross thecountry

2017 Deep Learning Indaba Instructor Deep learning Indaba 2017Tutored Deep learning Indaba participants

2017 Science Spaza Gauteng Department of EducationDeveloped a worksheet to introduce machine learning concepts to grade 9-10learners in rural areas through a publication called the Science SPAZA worksheetMore information about the science SPAZA worksheet can be found at httpwwwsciencespazaorg

2016 Curriculum Planning Science Mathematical Science Faculty of ScienceThe lsquoWits University OFFICIALrsquo channel strives to deliver information to inform ourapplicants about the opportunities that our courses can provide them for the futureThis includes helping applicants understand more about the programme that theyhave chosen as well as how to go about selecting their courses I was asked to bean academic advisor who would explain and demonstrate how to selected coursesoffered by the mathematical sciences since knowing which courses to choose isrequired at registration

2017 Presented at Bayesian Summer School Bettyrsquos Bay Western CapePresented at the summer school on Bayesian Structure Learning and performinginference on graphical models The Bayesian summer school is part of the Chis En-gelbrecht Summer School in Theoretical Physics The summer school focused onmodelling problems and performing inference using Bayesian principals The sum-mer school welcomed esteemed academics like John Skilling the author of Bayesiannested sampling Udo von Toussaint a world renowned expert in Bayesian inferencemodel complexity reduction and chaos expansion and real-time analysis and KevinH Knuth who demonstrated a new way of modelling relationships between objectsusing influence from which you can derive the fundamental laws of physics

2014 Research Symposium South African Institute of Computer Science and Information TechnologistsPresented on automatic music genre classification

2018 Presented at the SCI-BONO Discovery Centre Newtown JohannesburgThe SCI-BONO Discovery Center is located at the historic Electric Workshop in thecultural precinct of Newtown Johannesburg The Centre attempts to provide sup-port to learners for mathematics science and technology education I was asked tospeak at this venue to highlight some of the challenges by address four questionsWhat do learners struggle with most in mathematics What approaches can we useto teach mathematics How can we motivate the study of mathematics and Whatcan we do to provide more support to mathematics learners

2019 Class Representative Coordinator School of CSAMMediates the interactions between class representatives and COMS staff Co-organising workshops with the Teaching and learning commitee to better positionhonours students as tutors

2018 The Deep Learning Indaba X Cape TownThe Deep Learning Indaba is a machine learning and artificial intelligence confer-ence The goal of the conference was to give learners the opportunity to learn fromAfrican researchers and pioneers opportunities for one-to-one timewith experts andto learn the basic or advanced topics of machine learning I was asked to speakat the conference about the benefits of using Bayesian approaches over deep ap-proaches as well as present a tutorial on Bayesian learning (representation infer-ence and learning) The conference was held at the University of Cape Town (UCT)httpsindabaxgithubiots-schedule

20172018 Targeting Talent Programme (TTP) 2017-2018 WITSIt is always a privilege forme to participate in the Targetting Talent Programme (TTP)Launched in 2007 the TTP has expanded and reached 2188 learners fromacross thecountry

2017 Deep Learning Indaba Instructor Deep learning Indaba 2017Tutored Deep learning Indaba participants

2017 Science Spaza Gauteng Department of EducationDeveloped a worksheet to introduce machine learning concepts to grade 9-10learners in rural areas through a publication called the Science SPAZA worksheetMore information about the science SPAZA worksheet can be found at httpwwwsciencespazaorg

2016 Curriculum Planning Science Mathematical Science Faculty of ScienceThe lsquoWits University OFFICIALrsquo channel strives to deliver information to inform ourapplicants about the opportunities that our courses can provide them for the futureThis includes helping applicants understand more about the programme that theyhave chosen as well as how to go about selecting their courses I was asked to bean academic advisor who would explain and demonstrate how to selected coursesoffered by the mathematical sciences since knowing which courses to choose isrequired at registration

2017 Presented at Bayesian Summer School Bettyrsquos Bay Western CapePresented at the summer school on Bayesian Structure Learning and performinginference on graphical models The Bayesian summer school is part of the Chis En-gelbrecht Summer School in Theoretical Physics The summer school focused onmodelling problems and performing inference using Bayesian principals The sum-mer school welcomed esteemed academics like John Skilling the author of Bayesiannested sampling Udo von Toussaint a world renowned expert in Bayesian inferencemodel complexity reduction and chaos expansion and real-time analysis and KevinH Knuth who demonstrated a new way of modelling relationships between objectsusing influence from which you can derive the fundamental laws of physics

2014 Research Symposium South African Institute of Computer Science and Information TechnologistsPresented on automatic music genre classification