Research Associate Professor
Keshav Memorial Institute Of Technology
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Dr. Devika Rubi (Devika) Email & Phone Number
Research Associate Professor
at
Keshav Memorial Institute of Technology
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area 470
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Current company
Role
Research Associate Professor
Location
Hyderabad, Telangana, India
Who is Dr. Devika Rubi (Devika)? Overview
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Dr. Devika Rubi (Devika) is listed as Research Associate Professor at Keshav Memorial Institute of Technology, based in Hyderabad, Telangana, India. AeroLeads shows phone signal with area code 470 and a matched LinkedIn profile for Dr. Devika Rubi (Devika).
Dr. Devika Rubi (Devika) previously worked as Chief Scientific Officer at Digital Clinics Research And Services Pvt Ltd and Researcher at Emory University. Dr. Devika Rubi (Devika) holds Doctor Of Philosophy (Phd), Computer Science (Genomic Data Science, Biostatistics, Computational Biology) from Bharathiar University.
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Keshav Memorial Institute of Technology
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About Dr. Devika Rubi (Devika)
Research Fellow – Machine Learning, Computer Vision of Digital Pathology Imaging, using OpenCV, Python, Quantitative Features’ (Texture Features) Extraction Currently Research and Development of Digital Biomedical imaging solution, with AI driven clinical diagnostic pipeline for Cancer disease 5+ years’ experience as Asst. Professor in Computer Science and Bioinformatics, include Instructional activities, lecture for UG/Graduate Level courses at Indian University College in Computer Science, Bioinformatics and Mathematics 2+ years in Bioinformatics Industry as a Project Leader, Design and Coding for various Genomic modules to identify e-PCR (Electronic-polymerase chain reaction), ORF-Finder (Open Reading Frame Finder), Introns and Extron and simultaneous conversion to proteins, STS (Sequence Tagged Sites), EST, Motif, AT-rich, GC-rich sites, PSI Blast in Java and C++7+ years in Data analysis algorithms development, Mathematical modeling of Data, using Heuristic (Dynamic Programming, Edit Distances Methodologies) and Statistical (Hidden Markov Modelling (HMM), Probabilistic Modelling, Prediction, Maximum Likelihood methods) using “R” and Java PhD (Computer Science) –Mathematical modelling of Data, Optimized Data Mining algorithms development, to identify MLCS (Longest Common Subsequence, a NP-Hard problem in Biological Sequences Analysis) whose application is in detecting Biological sequence similarityResearch citations by international researchers to my MLCS algorithm show that it can be used for PLC (Industrial Automation), Substring parsing, Software Testing, Pattern Matching, Protein Sequence Alignment and Web video duplicates removal, Spatial Informatics-RSS based Fingerprinting location system in GSM, Optimized Parallel algorithm using openMP for Multi-Core ArchitecturesSubmitted research proposals to NIH, USA, a cloud technology system, performing whole-genome sequence data analysis; aiming to generate existing and also predicting all possible human cancer DNA binding sites (DBS), Transcription Factors (TFs)**** Published a book titled "A Guide to Design and Analysis of Algorithms"
Listed skills include Algorithms, Data Structures, C++, Linux, and 14 others.
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Keshav Memorial Institute Of Technology
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10 roles
Dr. Devika Rubi (Devika) work experience
A career timeline built from the work history available for this profile.
Chief Scientific Officer
Own and Lead Research on Clinical Imaging Analysis (Breast Cancer, Lungs, Covid, Prostate), Cancer Genomics, AI driven genomics workflows development
Research Associate Professor
Keshav Memorial Institute Of Technology
Research Professor Biomedical Imaging Informatics
Dec 2018 - Aug 2019
Research Scholar
5+ years of Genomics Data Science research experience involving DNA sequence analysis, algorithms development, using Heuristic (Dynamic Programming, Edit Distances Methodologies) and Statistical (Hidden Markov Methods, Probabilistic Modelling, Prediction, Maximum Likelihood methods) using “R”, C++, Java and MySQLResearch citations by international researchers to my MLCS algorithm (Positional_LCS) show that it can be used for PLC (Industrial Automation), Substring parsing, Software… Show more 5+ years of Genomics Data Science research experience involving DNA sequence analysis, algorithms development, using Heuristic (Dynamic Programming, Edit Distances Methodologies) and Statistical (Hidden Markov Methods, Probabilistic Modelling, Prediction, Maximum Likelihood methods) using “R”, C++, Java and MySQLResearch citations by international researchers to my MLCS algorithm (Positional_LCS) show that it can be used for PLC (Industrial Automation), Substring parsing, Software Testing, Pattern Matching, Protein Sequence Alignment and Web video duplicates removal, Spatial Informatics-RSS based Fingerprinting location system in GSM, Optimized Parallel algorithm using openMP for Multi-Core ArchitecturesSubmitted Four academic research projects proposals to NIH (National Institutes of Health, USA), a cloud technology system, performing whole-genome sequence data analysis; aiming to generate existing and also predicting all possible human cancer DNA binding sites (DBS), Transcription Factors (TFs) Having experience in academic project proposal writing (as a Lead Researcher) to Dept. of Biotechnology, New Delhi in an academic research project, developing a Biological Gene Sequence Analysis Web Server Show less
Jul 2012 - Sep 2017
Assistant Professor - Bioinformatics
Bishop Heber College
Jun 2016 - Jun 2017
Jan 2011 - Jun 2011
Guest Lecturer
Annamalai University
Teaching Undergraduate and Graduate Level courses at University College in Mathematics, Computer Science and Mathematical Statistics at Chennai, India
Jun 2005 - Jun 2006
Project Lead - Bioinformatics Product Development
Ascenterra Systems Pvt Ltd
Technical Lead, Design and code various Modules of this Bio-Informatics project like Genomics, Protienomics and Comparative Genomics•Analyze and Design Algorithms in C++ for Various Functionalities likes primer Design, e-pcr Design, ORF Finder, PSI Blast etc
Mar 2004 - Feb 2005
Lecturer
K.S.Rangasamy College Of Arts And Science
•Teaching Undergraduate and Graduate Level courses at University College in Mathematics, Computer Science and Mathematical Statistics
Feb 1998 - Jan 2002
6 education records
Dr. Devika Rubi (Devika) education
Doctor Of Philosophy (Phd), Computer Science (Genomic Data Science, Biostatistics, Computational Biology)
Master'S Degree, Biomathematics, Bioinformatics, And Computational Biology
Ms, Computer Science
M.Phil, Computer Science
Mother Theresea Women'S University
M.Sc., Mathematics And Computer Applications
B.Sc., Mathematics
FAQ
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Quick answers generated from the profile data available on this page.
What company does Dr. Devika Rubi (Devika) work for?
Dr. Devika Rubi (Devika) works for Keshav Memorial Institute of Technology.
What is Dr. Devika Rubi (Devika)'s role at Keshav Memorial Institute of Technology?
Dr. Devika Rubi (Devika) is listed as Research Associate Professor at Keshav Memorial Institute of Technology.
What is Dr. Devika Rubi (Devika)'s phone number?
AeroLeads has found 1 phone signal(s) with area code 470 for Dr. Devika Rubi (Devika) at Keshav Memorial Institute of Technology.
Where is Dr. Devika Rubi (Devika) based?
Dr. Devika Rubi (Devika) is based in Hyderabad, Telangana, India while working with Keshav Memorial Institute of Technology.
What companies has Dr. Devika Rubi (Devika) worked for?
Dr. Devika Rubi (Devika) has worked for Keshav Memorial Institute Of Technology, Digital Clinics Research And Services Pvt Ltd, Emory University, Bharathiar University, and Bishop Heber College.
How can I contact Dr. Devika Rubi (Devika)?
You can use AeroLeads to view verified contact signals for Dr. Devika Rubi (Devika) at Keshav Memorial Institute of Technology, including work email, phone, and LinkedIn data when available.
What schools did Dr. Devika Rubi (Devika) attend?
Dr. Devika Rubi (Devika) holds Doctor Of Philosophy (Phd), Computer Science (Genomic Data Science, Biostatistics, Computational Biology) from Bharathiar University.
What skills is Dr. Devika Rubi (Devika) known for?
Dr. Devika Rubi (Devika) is listed with skills including Algorithms, Data Structures, C++, Linux, Statistics, Bioinformatics, Data Mining, and Systems Biology.
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