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Associate Research Scientist, Yale Divinity School
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1. Center for Excellence in Teaching and Learning (CETL) Hardware Grant (2018), Georgia State University, USA: https://cetl.gsu.edu/programs-grants-awards/grant-funded-projects/ Poster Link [*2021:4] 2. Create-X, Startup Launch Grant (2019), Georgia Institute of Technology, USA: “Utilization of convolutional neural networks for security against password cracking”: https://create-x.gatech.edu/about 3. Yale University, Rothberg Fund (2020), USA: “CHEST-AI: AI tool for detection of lung diseases from chest X- ray data”: https://medium.com/tsai-city/kickstarting-healthcare-innovation-with-the-rothberg-catalyzer-prototype-fund-6f5a1f37c5c2 Poster Link [*2023:1, 4, 9; 2021: 17, 23][**21, 23, 29, 30] Github Product 4. Entrepreneurship Foundation Fund (2020), USA: “CHEST-AI: AI tool for detection of lung diseases from chest X- ray data”: https://www.entrepreneurshipfoundation.org/ [*2023:1, 4, 9; 2021: 17, 23] [**21, 23, 29, 30] Github 5. Culinda Technologies (2020), Texas, USA (https://www.culinda.io/): Machine learning solutions for medical devices that provide deep insight into IoT and IoMT applications [*2023:1, 4, 9; 2021: 17, 23] [**21, 23, 29, 30] Github 6. SC Independent Colleges & Universities SCICU Undergraduate Student/Faculty Research Program (2022): Utilizing Natural Language Processing (NLP) to increase the effectiveness of finding career opportunities. Student-Joshua Kiprono, $7,169 (direct, 100%). App Deploy: https://joshuakiplimo-resparse-resumematch-6a8pxp.streamlit.app/ Poster Link [**30][**39] https://scicu.org/events/scicu-undergraduate-student-faculty-research-symposium-4/ 7. Microsoft for Startups Founders Hub Azure Credits (2022) $25,000 (https://www.microsoft.com/en-us/startups): “CHEST-AI: AI tool for detection of lung diseases from chest X- ray data”. 8. Oracle for Research Award: https://www.oracle.com/research/ 9. SC INRE EPSCoR Research Experience for Teachers (RET) program (2022): https://www.furman.edu/integrative-research/education-outreach/research-experience-for-teachers-program/. Award utilized for configuring computing infrastructure (Lenovo ThinkSystem SR250 rack servers) in the Department of Computer Science for machine learning applications. Github Github 10. Claflin University Smart Home, Center of Excellence Seed Grant (2022): Collection and processing of health-care data for African-American subjects from wrist wearable devices: $19,919.88 (direct, 100%, Pilot funding) 11. Google HBCU Career Readiness Capacity Grant (2023): $20,000 (direct, 100%) 12. SC Independent Colleges & Universities SCICU Undergraduate Student/Faculty Research Program (2023): A prospective, community-based observational study for creating a comprehensible electronic health record (EHR) database using wearable devices in African American cohort. $7,000 (direct, 100%). Students-Priscilla Fatokun and Oluwamayowa Owolabi Github [**30][**39] https://scicu.org/events/scicu-undergraduate-student-faculty-research-symposium-4/ 13. NSF RII Track-1 Award: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina (2023-2027): Total Award (direct and indirect) $20,000,000.00, Claflin Sub-award $414,000.00. Funding supports Claflin University students Caliese J. Beckford and Mr. Sabb, Dinari. A multi-institutional grant collaboration between Clemson University in partnership with Benedict College, The Citadel, Claflin University, College of Charleston, Francis Marion University, Medical University of South Carolina, South Carolina Research Authority, South Carolina State University, Tri-County Technical College, University of South Carolina, and Winthrop University. Thrust II: Techniques of computer vision for image analysis, Education and Workforce Development, Project Implementation Team. 14. Claflin University Summer Seed Research Grant (2023): Utilization of Machine Learning Techniques for Aiding Detection of Ischemic Stroke Lesion, Infarct Volumes, and Small-artery Occlusions: $10,000. (direct, 100%, Pilot funding) [**33] Github [Role-Investigator: 1,2,3,4,5,7,8; Co-PI/PI: 6,9,10,11,12,13, 14] [*Published articles from publications; **Presentations from conferences], Claflin University
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Current projects in collaboration with Dr. Liles, Dr. Bagasra, Dr. Chowdhary, Dr. Sahu, Dr. Tisdale, Dr. Konneman Daniel, Dr. Derrick Swinton, Dr. Gao Zhi, Dr. Theppatorn Scired: Scientific Research & Development& Dr. Desowky at Claflin University. Current projects in collaboration with Dr. Christian Griñán Ferré, Univesity of Barcelona; Dr. Kleinstein, Yale University; Dr. Uduman, Dana Farber Harvard; Dr. George Tegos, Gamma Therapeutics; Dr. Lahiri, Sunway University; Dr. Allen. Bale, Dr. Hui. Zhang, DNA Diagnostic Lab at Yale University; Dr. Insoo. Kang; Dr. Kei-Hoi Chung; and Dr. Leying Guan at Yale University. Current projects in collaboration with Dr. Eichenbaum, Dr. Aneja, Dr. Charles Derby, & Dr. Chung-Dar Lu. Current projects in collaboration with Dr. Claire Rinehart & Dr. Cheryl Davis., Claflin University
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Teaching-student-advising: https://campuspress.yale.edu/shrikantpawar/teaching-student-advising/ Faculty Profile: https://www.claflin.edu/academics-research/faculty-research/meet-our-faculty/dr.-pawar-shrikant 2022: Assistant Professor (tenure-track) in Department of Computer Science and with a joint appointment in Biology at Claflin University. Course coordinator for Bioinformatics major. Enhanced the established teaching program by enhancing the learning and research opportunities for students in the School of Natural Sciences and Mathematics. Promoted peer-peer learning, hands-on laboratory assignments to enhance critical thinking skills [classes including Probability & Statistics I & II, Biostatistics, Data Analysis (topics including descriptive & inferential statistics, probability distributions, ANOVA, T-test, correlation, chi-Square, regression, etc.), Honors & Junior Seminar, Bioinformatics (topics including sequence alignment algorithms, scoring matrices, microarray analysis, phylogenetic analysis, bootstrapping, tree building, secondary & tertiary structure prediction, homology modeling, and protein folding)], Intro to Digital Logic Design and Lab (Emphasis on digital computer hardware and software, fundamentals of Boolean algebra (MATH111), switching and switching functions, applications to logic design, minimization of Boolean function, logic design with arrays, finite state model for sequential state minimization, design abstractions, representations, process, Karnaugh maps, K-map simplification, combinatorial components, multiplexers, decoders, selectors, ROMs, PLAs, hybrid components, sequential logic, Mealy/Moore finite state machines, state minimization, encoding, control unit design), Object Oriented Programming (topics including inheritance, msg passing, polymorphism, recursion, abstraction, encapsulation, software design techniques, etc.), promoted open door policy for improving student-teacher relations, and promoting virtual teaching to ensure competency with global culture. Contributions towards graduate ABET accreditation proposal for School of Natural Sciences and Mathematics. Engaged in faculty and staff enhancement activities by monthly departmental meetings and development workshops, serve the college and community by participating in science fairs and promoting STEM program in local community, involved in research and faculty development activities. Worked on course amendments and new course development for improvising syllabus structure of junior, senior and honors computer science seminar classes CSCI 391, HNTH 391 and Data Science (Data wrangling, visualization, Machine Learning QDA, LDA, ROC, Decision Trees, Regularization, Text Analysis Feature Engineering, Classification and Model Evaluation, Regression: Basics and Prediction, Evaluation and Interpretation, Clustering, etc.) course. Biotechnology Program Advisory Board, Faculty search committee member, Department of Mathematics and Computer Science for hiring new Computer Engineering and Cyber Security faculty. Academic Advisor (thesis & project) and mentored 41 students (HBCU graduates, under-graduate URISE, high-school BR-SIP, interns) to successfully transition them to medical, graduate schools and STEM jobs (UConn Medical School, UAB, Microsoft, etc.). Current projects in collaboration with Dr. Liles, Dr. Bagasra, Dr. Chowdhary, Dr. Sahu, Dr. Tisdale, Dr. Konneman Daniel, Dr. Derrick Swinton, Dr. Gao Zhi, Dr. Theppatorn & Dr. Desowky Scired: Scientific Research & Development at Claflin University. 2022: Research affiliate at Yale University School of Medicine 2023: Georgia Research Consulting (GRC) LLC, Research & Training in STEM Studies, Atlanta: Title: Co-founder. Research and teaching consultant for graduate and undergraduate students. (https://www.saashub.com/georgia-research-consulting-grc-llc-alternatives https://www.f6s.com/profile/5298554 https://www.crunchbase.com/organization/georgia-research-consulting-grc-llc) 2020: Yale University, New Haven, USA. Title: Associate Research Scientist (https://medicine.yale.edu/profile/shrikant_pawar/), current projects in collaboration with Dr. Christian Griñán Ferré, Univesity of Barcelona; Dr. Kleinstein, Yale University; Dr. Uduman, Dana Farber Harvard; Dr. George Tegos, Gamma Therapeutics; Dr. Lahiri, Sunway University; Dr. Allen. Bale, Dr. Hui. Zhang, DNA Diagnostic Lab at Yale University; Dr. Insoo. Kang; Dr. Kei-Hoi Chung; and Dr. Leying Guan at Yale University 2020: ChestAi, New Haven, USA. Title: Founding member (https://www.chestai.org/ & https://www.crunchbase.com/person/shrikant-pawar-f817). ChestAi was started with computer scientists and geneticists at Yale university with a common motivation of providing a free and open source platform for rapid and robust diagnosis of pathologies identified by radiological examinations (https://www.ai4hlth.org/product-profiles/ChestAi) (https://www.crunchbase.com/organization/chestai https://www.f6s.com/company/chestai https://tracxn.com/d/companies/chestai/__MB57iTXFVTO2fhlmUZpozcbLBTim3zBYEfD1xFox4mI https://theorg.com/org/chestai https://www.startupranking.com/chestai https://www.sideprojectors.com/project/41226/chestai https://startupbuffer.com/compare-atlantica-vs-chestai https://www.saashub.com/chestai-alternatives). 2019: Karyosoft, Indianapolis, USA. Title: Genomics Data Scientist, worked on angular, nodejs, flask, AWS, MongoDB, Rabbit-mq, Nginx webserver, Jbrowse techniques for data mining and software visualization. 2019: Synergy (Plus+) LLC.P.O. Atlanta, USA. Title: Data Scientist, worked on web development, statistical and data mining techniques for platform optimization. 2018: Georgia State University, Department of Biology, Atlanta, USA. Title: Instructor of Record. Current projects in collaboration with Dr. Eichenbaum, Dr. Aneja, Dr. Charles Derby, & Dr. Chung-Dar Lu. 2018: Georgia State University, Department of Computer Science & Biology, Atlanta, USA. Title: Ahmed T. Abdelal Fellow in Molecular Genetics and Biotechnology 2013: Freie Universität Berlin, Berlin, Germany. Title: Center for International Collaborative (CIC) Research Fellow 2012: University of Iowa, Department of Biology, Iowa City, USA. Title: Visiting Research Fellow. Current projects in collaboration with Dr. Claire Rinehart & Dr. Cheryl Davis. , Claflin University
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Co-founder, Research and teaching consultant for graduate and undergraduate students, Georgia Research Consulting (GRC), Atlanta
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Assistant Professor, CSCI101 Introduction to computer technology (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, programming constructs, secure computing (threats, malware, phishing, vulnerability), ethics in computing. Probability & Statistics I & II, Biostatistics, Data Analysis (topics including descriptive & inferential statistics, probability distributions, ANOVA, T-test, correlation, chi-Square, regression, etc.) Bioinformatics (topics including Blast, sequence alignment algorithms, scoring matrices, microarray analysis, phylogenetic analysis, bootstrapping, tree building, secondary & tertiary structure prediction, homology modeling, and protein folding)], visualization: heat maps, volcano plots, pie charts, Sequence alignments (Margaret Dayhoff, PAM, blossom scoring matrices, global & local alignment). Intro to Digital Logic Design and Lab (Emphasis on digital computer hardware and software, fundamentals of Boolean algebra (MATH111), switching and switching functions, applications to logic design, Digital logic gates, minimization of Boolean function, logic design with arrays, finite state model for sequential state minimization, design abstractions, representations, process, Karnaugh maps, K-map simplification, combinatorial components, multiplexers, decoders, selectors, ROMs, PLAs, hybrid components, sequential logic, Mealy/Moore finite state machines, state minimization, encoding, control unit design). Object Oriented Programming (topics including inheritance, msg passing, polymorphism, recursion, abstraction, encapsulation, software design techniques, etc.) CSCI101 Introduction to computer technology (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, programming constructs, secure computing (threats, malware, phishing, vulnerability), ethics in computing. Data Science (Data wrangling, visualization, Machine Learning QDA, LDA, ROC, Decision Trees, Regularization, Text Analysis Feature Engineering, Classification and Model Evaluation, Regression: Basics and Prediction, Evaluation and Interpretation, Clustering, etc.)., Claflin University
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Assistant Professor, CSCI101 Introduction to computer technology (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, programming constructs, secure computing (threats, malware, phishing, vulnerability), ethics in computing. Probability & Statistics I & II, Biostatistics, Data Analysis (topics including descriptive & inferential statistics, variable types, distribution properties, discrete & continuous types, R functions, probability distributions, ANOVA, T-test, correlation, chi-Square, regression, etc.) Bioinformatics (topics including Blast, sequence alignment algorithms, scoring matrices, microarray analysis, phylogenetic analysis, bootstrapping, tree building, secondary & tertiary structure prediction, homology modeling, and protein folding)], visualization: heat maps, volcano plots, pie charts, Sequence alignments (Margaret Dayhoff, PAM, blossom scoring matrices, global & local alignment). Intro to Digital Logic Design and Lab (Emphasis on digital computer hardware and software, fundamentals of Boolean algebra (MATH111), switching and switching functions, applications to logic design, Digital logic gates, minimization of Boolean function, logic design with arrays, finite state model for sequential state minimization, design abstractions, representations, process, Karnaugh maps, K-map simplification, combinatorial components, multiplexers, decoders, selectors, ROMs, PLAs, hybrid components, sequential logic, Mealy/Moore finite state machines, state minimization, encoding, control unit design). Object Oriented Programming (topics including inheritance, msg passing, polymorphism, recursion, abstraction, encapsulation, software design techniques, etc.) CSCI101 Introduction to computer technology (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, programming constructs, secure computing (threats, malware, phishing, vulnerability), ethics in computing. Data Science (Data wrangling, visualization, Machine Learning QDA, LDA, ROC, Decision Trees, Regularization, Text Analysis Feature Engineering, Classification and Model Evaluation, Regression: Basics and Prediction, Evaluation and Interpretation, Clustering, etc.)., Claflin University
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https://scepscor.org/research-expertise-profiles-table/ https://scepscor.org/pawar-shrikant-research-focus/ https://www.crunchbase.com/organization/chestai https://www.f6s.com/company/chestai https://aws.amazon.com/marketplace/seller-profile?id=seller-b6otd3wry7lkk https://github.com/spawar2/Chest-X-ray-Neural-Nets https://www.ai4hlth.org/product-profiles/ChestAi https://www.chestai.org/ & https://www.crunchbase.com/person/shrikant-pawar-f817 https://tracxn.com/d/companies/chestai/__MB57iTXFVTO2fhlmUZpozcbLBTim3zBYEfD1xFox4mI https://theorg.com/org/chestai https://www.startupranking.com/chestai https://www.sideprojectors.com/project/41226/chestai https://startupbuffer.com/compare-atlantica-vs-chestai https://www.saashub.com/chestai-alternatives https://www.saashub.com/georgia-research-consulting-grc-llc-alternatives https://www.f6s.com/profile/5298554 https://www.crunchbase.com/organization/georgia-research-consulting-grc-llc https://www.claflin.edu/academics-research/faculty-research/meet-our-faculty/dr.-pawar-shrikant https://www.claflin-computation.com/ https://campuspress.yale.edu/shrikantpawar/ http://www.linkedin.com/in/shrikant-pawar-ms-ph-d-5bb37a16 https://www.ncbi.nlm.nih.gov/myncbi/18IT7znYQEs1yv/bibliography/public/ https://scholar.google.com/citations?user=SvcIPSsAAAAJ&hl=en&oi=ao https://github.com/spawar2 https://devpost.com/software/chestai https://shrikantpawar5.gumroad.com/l/mcise https://chestai.bigcartel.com/ Teaching-student-advising: https://campuspress.yale.edu/shrikantpawar/teaching-student-advising/ Faculty Profile: https://www.claflin.edu/academics-research/faculty-research/meet-our-faculty/dr.-pawar-shrikant, Claflin University
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Current projects in collaboration with Dr. Liles, Dr. Bagasra, Dr. Chowdhary, Dr. Theppatorn Dr. Sahu, Dr. Tisdale, Dr. Konneman Daniel, Dr. Derrick Swinton, Dr. Gao Zhi & Dr. Desowky Scired: Scientific Research & Development at Claflin University. Teaching-student-advising: https://campuspress.yale.edu/shrikantpawar/teaching-student-advising/ Faculty Profile: https://www.claflin.edu/academics-research/faculty-research/meet-our-faculty/dr.-pawar-shrikant Course coordinator for Bioinformatics major. Enhanced the established teaching program by enhancing the learning and research opportunities for students in the School of Natural Sciences and Mathematics. Promoted peer-peer learning, hands-on laboratory assignments to enhance critical thinking skills [classes including Probability & Statistics I & II, Biostatistics, Data Analysis (topics including descriptive & inferential statistics, probability distributions, variable types, distribution properties, discrete & continuous types, R functions ANOVA, T-test, correlation, chi-Square, regression, etc.), Honors & Junior Seminar, Bioinformatics (topics blast including sequence alignment algorithms, scoring matrices, microarray analysis, Gene Expression Omnibus (GEO) datasets mining, Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis., visualization: heat maps, volcano plots, pie charts, Sequence alignments (Margaret Dayhoff, PAM, blossom scoring matrices, global & local alignment) phylogenetic analysis, bootstrapping, tree building, secondary & tertiary structure prediction, homology modeling, and protein folding)], Intro to Digital Logic Design and Lab (Emphasis on digital computer hardware and software, Digital logic gates, fundamentals of Boolean algebra (MATH111), switching and switching functions, applications to logic design, minimization of Boolean function, logic design with arrays, finite state model for sequential state minimization, design abstractions, representations, process, Karnaugh maps, K-map simplification, combinatorial components, multiplexers, decoders, selectors, ROMs, PLAs, hybrid components, sequential logic, Mealy/Moore finite state machines, state minimization, encoding, control unit design), Object Oriented Programming (topics including inheritance, msg passing, polymorphism, recursion, abstraction, encapsulation, software design techniques, etc.), promoted open door policy for improving student-teacher relations, and promoting virtual teaching to ensure competency with global culture. Contributions towards graduate ABET accreditation proposal for School of Natural Sciences and Mathematics. Engaged in faculty and staff enhancement activities by monthly departmental meetings and development workshops, serve the college and community by participating in science fairs and promoting STEM program in local community, involved in research and faculty development activities. Worked on course amendments and new course development for improvising syllabus structure of junior, senior and honors computer science seminar classes CSCI 391, HNTH 391 and Data Science (Data wrangling, visualization, Machine Learning QDA, LDA, ROC, Decision Trees, Regularization, Text Analysis Feature Engineering, Classification and Model Evaluation, Regression: Basics and Prediction, Evaluation and Interpretation, Clustering, etc.) course. Biotechnology Program Advisory Board, Faculty search committee member, Department of Mathematics and Computer Science for hiring new Computer Engineering and Cyber Security faculty. Academic Advisor (thesis & project) and mentored 41 students (HBCU graduates, under-graduate URISE, high-school BR-SIP, interns) to successfully transition them to medical, graduate schools and STEM jobs (UConn Medical School, UAB, Microsoft, etc.). Current projects in collaboration with Dr. Liles, Dr. Bagasra, Dr. Chowdhary, Dr. Sahu, Dr. Tisdale, Dr. Konneman Daniel, Dr. Derrick Swinton, Dr. Gao Zhi, Dr. Theppatorn & Dr. Desowky Scired: Scientific Research & Development at Claflin University. CSCI101 Introduction to computer technology (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, programming constructs, secure computing (threats, malware, phishing, vulnerability), Exploratory Data Analysis (visualization plots), statistical tests (T-test, correlation, ANOVA, chi-square) functions, ethics in computing., Claflin University
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ORCID iD: https://orcid.org/0000-0002-6157-2462, Claflin University
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Student Evaluations: https://campuspress.yale.edu/shrikantpawar/files/2024/05/Student-Evaluations-2021-2024-3df60a3eaf357f31.pdf, Claflin University