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GURJIT SINGH RANDHAWA

Ph.D. Thesis:

Journal articles:

Conference articles:
  • Gurvinder Singh, Rajinder Singh Virk, Gurjit Singh Randhawa, “Enhancing Computational Capabilities in Higher Education by use of GA’s”. In: International Conference on Role of Technology in Enhancing the Quality of Higher Education (ICRT-12), Jalandhar India, Oct 26-27, 2012.  [pdf]


Conference posters:
  • Maximillian P.M. Soltysiak, Gurjit S. Randhawa, Abdelhady Osman, Camila P.E. de Souza, Kathleen A. Hill, Lila Kari, "Investigating Genomic and Mutational Signatures of Organisms Living in Extreme Environments". In: the 51st annual meeting of the Environmental Mutagenesis & Genomics Society; 2020 Sept 12-16, EMGS; 2020, Abstract nr 103. 
  • Gurjit S. Randhawa, Maximillian P.M. Soltysiak, Hadi El Roz, Camila P.E. de Souza, Kathleen A. Hill, Lila Kari, “Rapid and accurate classification of SARS-CoV-2 using genomic signature analysis with Machine Learning”. In: the 28th conference on Intelligent Systems for Molecular Biology (ISMB 2020); International Society for Computational Biology; 2020 July 13-16; 2020, Abstract nr C48. 
  • Kathleen A. Hill, Gurjit S. Randhawa, Nicholas A. Boehler, Hailie Pavanel, Ali Coyle, Pok Wan , Lila Kari, “Machine Learning with Digital Signal Processing for Classification of Mouse Genotypes”. In: the Allied Genetics Conference (TAGC 2020); Genetics Society of America; 2020 April 22-25; 2020, Abstract nr 1200C. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “A Stand-Alone Software Tool With a Graphical User Interface Employing Machine-Learning and Digital Signal Processing (ML-DSP) for Accurate Genome-Wide Classification of Human Mitochondrial Diseases and Cancer Types”. In: the 50th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2019 Sept 19-23; Wahington, DC, USA: EMGS; 2019, Abstract nr 70. 
  • Maximillian Soltysiak, Gurjit S. Randhawa, Lila Kari, Kathleen A. Hill, “Machine Learning – Digital Signal Processing and genomic signatures to elucidate the ancestral proteobacterial origin of mitochondria”. In: the 50th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2019 Sept 19-23; Wahington, DC, USA: EMGS; 2019, Abstract nr 71. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Machine-Learning and Digital Signal Processing approach for accurate genome-wide classification of human haplogroups, extant and extinct hominids, mitochondrial diseases and cancer types”. In: the 8th Canadian Human and Statistical Genetics Meeting; 2019 June 16-19; Montebello, Québec, Canada: CHSGM; 2019. Abstract nr 41. 
  • Bianca Valente, M Soltysiak, GS Randhawa, CPE De Souza, L Kari, Kathleen A. Hill, “Classification of organisms based on genome sequence composition: Case studies in alignment-free approaches to virus-host pair classifications and viral subtyping”. In: the 8th Canadian Human and Statistical Genetics Meeting; 2019 June 16-19; Montebello, Québec, Canada: CHSGM; 2019. Abstract nr 34. 
  • Gurjit S. Randhawa, Bianca Valente, Maximillian Soltysiak, Kathleen A. Hill, Lila Kari, “Machine learning-based alignment-free method demonstrates the potential to analyze sequence instability of synthetized genomes”. In: the 4th annual Synthetic Biology Symposium; 2019 May 26-28; Waterloo, Ontario, Canada: SynBio 4.0; 2019. Abstract nr 30. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Classification of Cancer Genomes using Machine Learning and Digital Signal Processing”. In: the annual Terry Fox Research Institute Ontario Node Cancer Research Symposium; 2018 December 10; Toronto, Ontario, Canada: TFRI Symposium; 2018. Abstract nr 83. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Genomic Signatures: Machine Learning and Digital Signal Processing of Genomic Sequences Provides Ultrafast and Accurate Classification of Camcer Genomes”. In: the 4th International Cancer Research Conference; 2018 November 17; Windsor, Ontario, Canada: WCRG; 2018. Abstract nr 07. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Genomic Signatures: Machine Learning and Digital Signal Processing of Genomic Sequences Provides Ultrafast and Accurate Taxonomic Classification”. In: the 49th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2018 Sept 22-26; San Antonio, Texas, USA: EMGS; 2018, p. 104. Abstract nr 51. 
  • Maximillian Soltysiak, Gurjit S. Randhawa, Nicholas A Boehler, Lila Kari, Kathleen A. Hill, “Tracking down contributors to genomic signatures: Cross-species comparisons of subsequence avoidance.”. In: the 49th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2018 Sept 22-26; San Antonio, Texas, USA: EMGS; 2018, p. 104. Abstract nr 52. 


Conference Presentations (*speaker name is underlined):
  • Gurjit S. Randhawa , Maximillian P.M. Soltysiak, Hadi El Roz, Camila P.E. de Souza, Kathleen A. Hill, Lila Kari, "Alignment-free genome analysis of SARS-CoV-2 using Machine learning". In: the 51st annual meeting of the Environmental Mutagenesis & Genomics Society; 2020 Sept 12-16, EMGS; 2020, Abstract nr 23. 
  • David Chen , Gurjit S. Randhawa, Maximillian P.M. Soltysiak, Lila Kari, Kathleen A. Hill, "SomaticSiMu: A Mutational Signature Simulator for Benchmarking Alignment-free Machine Learning Classification of Genomic Signatures". In: the 51st annual meeting of the Environmental Mutagenesis & Genomics Society; 2020 Sept 12-16, EMGS; 2020, Abstract nr S53. 
  • Hailie A. Pavanel , Gurjit S. Randhawa, Nicholas A. Boehlar, Rachel D. Kelly, Thomas A. Millar, Maximillian P.M. Soltysiak, Pok Wan, Camila P.E. de Souza, Lila Kari, Kathleen A. Hill, "Machine Learning Applied to Mouse Genotypes Accurately Classifies Genetic Background: Relevance to Human Genotype Classification for Detection of Environmental Mutagen Exposures". In: the 51st annual meeting of the Environmental Mutagenesis & Genomics Society; 2020 Sept 12-16, EMGS; 2020, Abstract nr S38. 
  • Gurjit S. Randhawa , Kathleen A. Hill, Lila Kari, “A Stand-Alone Software Tool With a Graphical User Interface Employing Machine-Learning and Digital Signal Processing (ML-DSP) for Accurate Genome-Wide Classification of Human Mitochondrial Diseases and Cancer Types”. In: the 50th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2019 Sept 19-23; Wahington, DC, USA: EMGS; 2019, Abstract nr 70. 
  • Maximillian Soltysiak , Gurjit S. Randhawa, Lila Kari, Kathleen A. Hill, “Machine Learning – Digital Signal Processing and genomic signatures to elucidate the ancestral proteobacterial origin of mitochondria”. In: the 50th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2019 Sept 19-23; Wahington, DC, USA: EMGS; 2019, Abstract nr 71. 
  • Gurjit S. Randhawa , Kathleen A. Hill, Lila Kari, “Machine-Learning and Digital Signal Processing approach for accurate genome-wide classification of human haplogroups, extant and extinct hominids, mitochondrial diseases and cancer types”. In: the 8th Canadian Human and Statistical Genetics Meeting; 2019 June 16-19; Montebello, Québec, Canada: CHSGM; 2019. Abstract nr 41. 
  • Gurjit S. Randhawa, Bianca Valente, Maximillian Soltysiak, Kathleen A. Hill, Lila Kari, “Machine learning-based alignment-free method demonstrates the potential to analyze sequence instability of synthetized genomes”. In: the 4th annual Synthetic Biology Symposium; 2019 May 26-28; Waterloo, Ontario, Canada: SynBio 4.0; 2019. Abstract nr 30. 
  • Gurjit S. Randhawa, “Classifying degeneration of genomic integrity and analyzing sequence similarities between viral-host pairs”. In: the 27th annual University of Western Ontario Research in Computer Science; 2019 April 10; London, Ontario, Canada: UWORCS; 2019. 
  • Pislaru A., Soltysiak M., Randhawa G.S., de Souza C.P.E., Kari L., Stueckmann D., Hill K.A., “Genomic Signatures provide a unique perspective in classifying the heterogeneity in species of BACILLUS using alignment-free methods”. In: the 32nd annual Ontario Biology Day student conference; 2019 March 23-24; London, Ontario, Canada: OBD; 2019. 
  • Valente B.S., Soltysiak M., Randhawa G.S., Stueckmann D., de Souza C.P.E., Kari L., Hill K.A., “Intriguing sequence similarities between viral genomes and their hosts”. In: the 32nd annual Ontario Biology Day student conference; 2019 March 23-24; London, Ontario, Canada: OBD; 2019. 
  • Crooks A.M., Soltysiak M., Randhawa G.S., Stueckmann D., de Souza C.P.E., Kari L., Hill K.A., “Certain gene regions of the human genome have a distinct sequence composition”. In: the 32nd annual Ontario Biology Day student conference; 2019 March 23-24; London, Ontario, Canada: OBD; 2019. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Genomic Signatures: Machine Learning and Digital Signal Processing of Genomic Sequences Provides Ultrafast and Accurate Classification of Camcer Genomes”. In: the 4th International Cancer Research Conference; 2018 November 17; Windsor, Ontario, Canada: WCRG; 2018. Abstract nr 07. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Genomic Signatures: Machine Learning and Digital Signal Processing of Genomic Sequences Provides Ultrafast and Accurate Taxonomic Classification”. In: the 49th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2018 Sept 22-26; San Antonio, Texas, USA: EMGS; 2018, p. 104. Abstract nr 51. 
  • Maximillian Soltysiak, Gurjit S. Randhawa, Nicholas A Boehler, Lila Kari, Kathleen A. Hill, “Tracking down contributors to genomic signatures: Cross-species comparisons of subsequence avoidance.”. In: the 49th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2018 Sept 22-26; San Antonio, Texas, USA: EMGS; 2018, p. 104. Abstract nr 52. 
  • Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari, “Analysis of Genomic Signatures in Our Current Era of Synthetic Biology Presenter”. In: the 3rd annual Synthetic Biology Symposium; 2018 July 26; London, Ontario, Canada: SynBio 3.0; 2018. 
  • Gurjit S. Randhawa, “Genomic Signal Processing to classify DNA Sequences”. In: the 26th annual University of Western Ontario Research in Computer Science; 2018 April 12; London, Ontario, Canada: UWORCS; 2018. 


Technical projects:
  • MLDSP-GUI : An alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysis, 2019. 
  • ML-DSP : Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels, 2019. 
  • Android application for Weather and Movie Alerts, University of Western Ontario, Canada, 2014. 
  • Automated Examination Seating Plan Tool for Department of Computer Science and Engineering, Guru Nanak Dev University, Amritsar, India, 2012. 
  • Universal Simulator for solving various problems by use of Genetic Algorithms, 2012. 
  • Tata Consultancy Services ultimatix portal (TCS employee ERP management system) development in J2EE, Oracle, 2011. 
  • Data migration under National Custody and Clearing Systems, Tata Consultancy Services, 2010. 
  • A semi-centralized tracking server based Peer to Peer file sharing system, Guru Nanak Dev University, Amritsar, India, 2008. 


Awards:
  • Compute Canada Research Platforms and Portals (RPP) competition grant, resource allocation value $18761. 
  • First and Second prize, Bioinformatics challenge, 51st annual Environmental Mutagenesis & Genomics Society conference (online); 2020 Sept 12-16. 
  • EMGS Student and New Investigator Travel Award 2019, awarded at the 50th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2019 Sept 19-23; Washington DC, USA. 
  • First prize in the category "Software Engineering and Programming Languages, Bioinformatics and Theory of Computer Science" for presentation on "Classifying degeneration of genomic integrity and analyzing sequence similarities between viral-host pairs", 27th annual University of Western Ontario Research in Computer Science conference, London, Ontario, Canada, 2019 April 10. 
  • EMGS Student and New Investigator Travel Award 2018, awarded at the 49th Annual Meeting of the Environmental Mutagenesis & Genomics Society; 2018 Sept 22-26; San Antonio, Texas, USA. 
  • First prize in the category "Bioinformatics & Distributed Systems" for presentation on "Genomic Signal Processing to classify DNA Sequences", 26th annual University of Western Ontario Research in Computer Science conference, London, Ontario, Canada, 2018 April 12. 
  • Western Graduate Research Scholarship (WGRS), 2015-19. 


Service:
  • Volunteer (teaching programming), Girls LEAD (Leadership, Education, and Development) camp, Brescia University College, London, 2019 August 01,15. 
  • Poster session judge, the 3rd annual Synthetic Biology Symposium, London, Ontario, Canada: SynBio 3.0, 2018 July 26. 
  • Conference Chair, 26th annual University of Western Ontario Research in Computer Science conference, London, Ontario, Canada, 2018 April 12. 
  • Graduate Student Representative, Department of Computer Science, University of Western Ontario, Canada, 2018-19. 
  • Organized faculty development workshop, Guru Nanak Dev University, 2012. 
  • Volunteer Educationist, Aadhar welfare society, Amritsar, India, 2011-13. 
  • Member of course design and review committee, Guru Nanak Dev University, 2011-12. Designed a new graduate-level course “Evolutionary and Intelligent Computing Theories and Applications”, and revised multiple undergraduate and graduate-level courses. 


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