Shrikant Pawar MS, Ph.D. 

Department of Computer Science and Biology

Claflin University

Address: School of Natural Sciences and Mathematics
James S. Thomas Science Building, Rm. 331

400 Magnolia St, Orangeburg, SC 29115, United States

Co-founder, ChestAi Office Phone: 803-535-5332; Cell: 404-431-0213

AOL: pawarshrikant@aol.com; Proton: pawwar@proton.me; Tutanota: pawwar@tutanota.com; Discord id: pawar#7724, shrikant.pawar@yale.edu, Shrikantpawar3@icloud.com; pawarshrikant@zohomail.in; pawarshrikant@kolabnow.com

Pawar is an Assistant Professor (tenure-track) in Department of Computer Science and with a joint appointment in Biology at Claflin University (HBCU/MSI), School of Natural Sciences and Mathematics, Orangeburg, South Carolina, USA with a Masters in Computer Science and a Ph.D. from Georgia State University, Atlanta, USA. He's also an co-founder of a Connecticut based AI company, ChestAi; Georgia Research Consulting (GRC), Research & Training in STEM Studies, Atlanta, USA, a member of Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) collaborators, The Institute for Health Metrics and Evaluation (IHME), at the University of Washington, Seattle, USA and a research affiliate at Yale University School of Medicine, New Haven, Connecticut, USA. The research in his group is focused on big data (Biomedical imaging, Spectral, Single cell, Next-generation sequencing, Microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, Support Vector Machines (SVM's), Random forest, Supervised, Un-supervised techniques, Computer vision, Restricted boltzmann machines, Clustering algorithms etc.). If you share similar interests feel free to contact. You can browse some of the recent machine learning applications on GitHub in projects. The detailed list of credentials can be found at: Linkedin, NCBI Bibliography or Google Scholar (h-index=15; i10-index=26; Google Scholar Citations=2000 [01/13/2023]).

​

Education

1. Doctor of Philosophy (Bioinformatics): Georgia State University, Atlanta, Georgia, USA.

2. Master of Science (Computer Science): Georgia State University, Atlanta, Georgia, USA.

3. Master of Science (Biology): Georgia State University, Atlanta, Georgia, USA.

4. Master of Science (Bioinformatics): Western Kentucky University, Bowling Green, Kentucky, USA.

5. Continuing Studies Program (2023-24): Stanford University, USA.

• Doctoral Dissertation (GPA 3.6):
  Goal: Identifying newer bioinformatics techniques for studying drug resistance in Human immunodeficiency (HIV) & Staphylococcus aureus. Dissertation published here.
  Contributions: Application of machine learning techniques (Restricted Boltzmann Machine) on next generation sequencing, microarray datasets and structure guided drug design studies on HIV-1 protease. Application of algorithms was performed using R and Python functional programming languages while the structure guided drug design was studied using enzyme kinetics and X-ray crystallography. Our new technique of applying Restricted Boltzmann Machine produced highly accurate and robust classification of HIV protease resistance profiles. It was also used to effectively compare resistance profiles of different clinical protease inhibitors.
  Pawar, Shrikant, "Bioinformatics Techniques for Studying Drug Resistance In HIV and Staphylococcus Aureus." Dissertation, Georgia State University, 2019. doi: https://doi.org/10.57709/14306337 

• Master’s Degree (Computer Science) Project (GPA 3.6):
  Goal: Computational optimization of defined graph-based sequence structure HIV-1 protease resistance prediction through supervised, unsupervised machine learning techniques.
  Contributions: Application of supervised and unsupervised clustering techniques on next generation sequencing datasets for identifying representative HIV-1 protease sequences. Current projects in collaboration with Dr. Eichenbaum, Dr. Aneja, Dr. Charles Derby, & Dr. Chung-Dar Lu, Dr. Harrison and Dr. Weber.

• Master’s Degree (Bioinformatics) Project (GPA 3.6):
  Goal: Transcriptomic data analysis to determine impact antioxidant supplementation gene expression in brains mice infected with Toxoplasma. gondii. Current projects in collaboration Dr. Claire Rinehart & Dr. Cheryl Davis.
  Contributions: Application of linear transformations like data driven Haar-Fisz transformations on microarray datasets for identifying gene expression trends.

Field of Research/Study (Current projects in collaboration with Dr. Liles Smart Home Claflin University seed funding, Dr. Bagasra Coronavirus transcriptomics, Dr. Chowdhary Prostate Biomarkers, Dr. Sahu Machine learning applications (generative adversarial network (GAN)) in cybersecurity, Dr. Tisdale, National Science Foundation South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), RII Track-1 Award, NSF Identifier: 000879633, AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina, ADAPT award [*2023:9, 2024:16], [**38, 40, 42, 43], [**2024:47], Techniques of computer vision for image analysis Dr. Konneman Daniel, Systematics in Coccoloba (Polygonaceae), deep learning for predicting biofilm patterns from surface-enhanced Raman spectroscopy (SERS) with Dr. Tzeng, Dr. Anker, Dr. Rao, & Dr. Bhattacharya, Clemson University, South Carolina, USA, Dr. Derrick Swinton, Kean University, Union, New Jersey, USA Machine learning for nanoparticle property prediction, Dr. Gao Zhi, Clemson University, South Carolina, USA, Subaward, Clemson University GAIN CRP award [**43], (Grants for Applications in Industry and Networking Collaborative Research Program): AI-Enabled Construction of Aligned Collagen Using Two-Photon Techniques Dr. Theppatorn & Dr. Desowky Scired: Scientific Research & Development at Claflin University, Orangeburg, South Carolina, USA): 

1. Bioinformatics; Biomarker study. 

2. Computational Biology. 

3. Data Science. 

4. Artificial Intelligence. 

5.  Computer Vision.

Work Experience (Relevant)*:

2022: Research affiliate at Yale University School of Medicine, Department of Genetics, New Haven, USA. Current projects in collaboration with Dr. Liles Smart Home Claflin University seed funding, Dr. Bagasra Coronavirus transcriptomics, Dr. Chowdhary Prostate Biomarkers, Dr. Sahu Machine learning applications (generative adversarial network (GAN)) in cybersecurity, Dr. Tisdale, National Science Foundation (NSF) South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), RII Track-1 Award AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina, ADAPT award, Techniques of computer vision for image analysis Dr. Konneman Daniel, Systematics in Coccoloba (Polygonaceae), deep learning for predicting biofilm patterns from surface-enhanced Raman spectroscopy (SERS) with Dr. Tzeng, Dr. Anker, Dr. Rao, & Dr. Bhattacharya, Clemson University, South Carolina, USA, Dr. Derrick Swinton, Kean University, Union, New Jersey, USA Machine learning for nanoparticle property prediction, Dr. Gao Zhi, Clemson University, South Carolina, USA, Subaward, Clemson University GAIN CRP award (Grants for Applications in Industry and Networking Collaborative Research Program): AI-Enabled Construction of Aligned Collagen Using Two-Photon Techniques Dr. Theppatorn & Dr. Desowky Scired: Scientific Research & Development at Claflin University, Orangeburg, South Carolina, USA. Research currently funded by Center for Excellence in Teaching and Learning (CETL), Georgia State University; Create-X, Georgia Institute of Technology, Atlanta, USA; Yale University, New Haven, Connecticut, USA, Rothberg Fund; Entrepreneurship Foundation Fund, Connecticut, USA; Culinda Technologies, Texas, USA; SC Independent Colleges & Universities SCICU Undergraduate Student/Faculty Research Program; Microsoft for Startups Founders Hub; Oracle for Research; Institutional Development Award (IDeA), Networks of Biomedical Research Excellence (INBRE), Research Education of Teachers SC INRE South Carolina Established Program for Stem Cooperative Research South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), Research Experience for Teachers (RET) program; Claflin University, Orangeburg, South Carolina, USA, Smart Home, Center of Excellence Seed Grant; Google HBCU Career Readiness Capacity Grant; National Science Foundation South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), RII Track-1 Award: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina; National Science Foundation South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), RII Track-1 Award, NSF Identifier: 000879633, GAIN CRP Subaward, Clemson University (Grants for Applications in Industry and Networking Collaborative Research Program; The Department of Defense (DoD), Army Materiel Command (AMC), HBCU/MI Equipment/Instrumentation grant award.

2023: Georgia Research Consulting (GRC) LLC, Atlanta, USA, Title: Co-founder, Research & Training in STEM Studies, Atlanta: Research and teaching consultant for graduate and undergraduate students. 

2020: Yale University, School of Medicine, Department of Genetics, Yale Center for Genome Analysis (YCGA), 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, Spain, G9a/GLP transcriptomics; Dr. Kleinstein, Yale University IMMuno Phenotyping Assessment in a COVID-19 Cohort (IMPACC), New Haven, Connecticut, USA, Dr. Ruth Montgomery, Yale University, New Haven, Connecticut, USA, Single Cell analysis, Cytometry by time of flight (cytOF); Dr. Uduman, Dana Farber Harvard, Cambridge, MA, USA, ICOS gene transcriptomics; Dr. George Tegos, Gamma Therapeutics, Probiotics efficacy; Dr. Lahiri, Sunway University, Malaysia, Cancer Biomarkers; Dr. Allen. Bale, Dr. Hui. Zhang, DNA Diagnostic Lab at Yale University, New Haven, Connecticut, USA; Dr. Insoo. Kang, T cell Transcriptomics; Dr. Kei-Hoi Chung, Linkedimm; and Dr. Leying Guan, Supervised bayesian factor analysis at Yale University, New Haven, Connecticut, USA.

2020: ChestAi, New Haven, USA. Title: Co-Founder (https://www.chestai.org/) ChestAi was started with computer scientists and geneticists at Yale university, New Haven, USA 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.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).  1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8

2019: Karyosoft, Indianapolis, Indiana, 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, Georgia, 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 Next generation sequencing (NGS) analysis in R, BIOL6930 (Introduction to R, Microarrays: gene expression analysis, algorithms, databases, data visualization: heat maps, pie-charts, Venn diagrams.), Introduction to operating server and High Performance Computing cluster. (STAT341, STAT401, CSCI/HNTH391/392, BTEC620, BIOL560, STAT451, CSCI225, BIOL441, BTEC599), BIOL114, 121, 1103 (General biology, lab, experimental aspects of cellular organization and processes, metabolism, DNA structure and replication, and mendelian and population genetics).

2018: Georgia State University, Department of Computer Science & Biology, Atlanta, USA. Title: Ahmed T. Abdelal Fellow in Molecular Genetics and Biotechnology Current projects in collaboration with Dr. Eichenbaum Biofilm transcriptomics, Dr. Aneja Ovarian Biomarkers, Dr. Charles Derby Chemosensory transcriptomics, & Dr. Chung-Dar Lu Spermine transcriptomics, Dr. Harrison, Machine Learning for studying drug resistance in Human immunodeficiency (HIV) virus and Dr. Weber, X-ray crystallography in HIV.

2013: Freie Universität Berlin, Berlin, Germany. Title: Center for International Collaborative (CIC) Research Fellow Current projects in collaboration with Dr. Claire Rinehart & Dr. Cheryl Davis Toxoplasma gondi transcriptomics.

2012: University of Iowa, Department of Biology, Iowa City, USA. Title: Visiting Research Fellow.

​

 

 

 

Membership/Fellow (Selected)*[Affiliated from ****Western Kentucky University, Bowling Green, Kentucky, USA; ***Georgia State University, Atlanta, USA; **Yale University, School of Medicine, Department of Genetics, Yale Center for Genome Analysis (YCGA), Connecticut, New Haven, USA; *Claflin University, Orangeburg, South Carolina, USA.]:

1. TiE Global International Entrepreneurship: https://tie.org/***

2. Georgia State Biology Graduate Student Association,  Atlanta, USA (GSU-BGSA): http://sites.gsu.edu/bgsa/about/#.X6GBM1NKj7E****

3. Advanced Technology Development Center (ATDC)-Georgia Tech University,  Atlanta, USA: https://atdc.org/****

4. Western Kentucky University, Bowling Green, Kentucky, USA, Biograd Association****

5. Western Kentucky University Student Government Association (WKU SGA), Bowling Green, Kentucky, USA: https://www.wku.edu/sga/****

6. Western Kentucky University, Bowling Green, Kentucky, USA, Graduate Council: https://www.wku.edu/graduatecouncil/****

7. Biophysical Society: https://www.biophysics.org/***

8. American Chemical Society: https://www.acs.org/content/acs/en.html**

9. Institute of Electrical and Electronics Engineers (IEEE): https://ieeexplore.ieee.org/Xplore/home.jsp**

10. Sigma Xi, The Scientific Research Honor Society: https://www.sigmaxi.org/home***

11. HackerSpace-Free Side, Atlanta, Georgia, USA: https://www.freesideatlanta.org/***

12. Kentucky Academy of Science, Bowling Green, Kentucky, USA: https://kyscience.org/****

13. Academic Society for Functional Foods and Bioactive Compounds. (ASFFBC): https://www.functionalfoodscenter.net/****

14. American Association for Cancer Research (AACR): https://www.aacr.org/***

15. American Association for Advancement of Science (AAAS): https://www.aaas.org/***

16. Boston Children Hospital and Harvard Medical School Teaching Hospital, Boston, MA, USA: Precision Vaccine Program**

17. Association for Computing Machinery (ACM): https://www.acm.org/**

18. Models of Infectious Disease Agent Study (MIDAS): https://midasnetwork.us/**

19. Australian Academy of Science: https://www.science.org.au/*

20. Healthcare Information For All: https://www.hifa.org/*

21. Community Mentor, Clarivate Web of Science: https://webofscienceacademy.clarivate.com/learn

22. South Carolina Bio: https://www.scbio.org/profiles/shrikant-pawar*

23. The American Philosophical Association: https://www.apaonline.org/*

24. HBCU C2: https://www.hbcuc2.org/*

25. Advancing Indigenous People in STEM (AISES): https://aises.site-ym.com/Login.aspx*

26. International Advanced Computing Conference: https://computingconf.com/*

27. International Journal of Intelligent Information System*

28. Biomedical Research and Clinical Reviews*

29. Bioinformatics and Proteomics*

30. Global Translational Medicine*

31. International Journal of Clinical Images and Medical Reviews*

32. PriMera Engineering & Scientific Surgical Research and Practice (ISSN: 2836-0028)*

33. Systemic Initiative for Modeling Investigations & Opportunities with Differential Equations (SIMIODE): https://www.simiode.org/*

34. Soft Computing Research Society (SCRS): https://www.scrs.in/*

35. Observational Health Data Sciences & Informatics (OHDSI): https://www.ohdsi.org/*

36. Journal of Alzheimer’s Disease: https://www.j-alz.com/*

37. AWSAcademy Machine Learning University (MLU), Community of Practice               Amazon Web Services (AWS), Machine Learning Professional Development Intensive Bootcamp Part I for Teachers (1, 2, 3)  2023-2024, The Coding School: Data Visualization, Machine Learning Models, Responsible Artificial Intelligence.*

38. Guidepoint Network (advisor & consultant)*

39. Yale CBIT Healthcare, New Haven, Connecticut, USA Hackathon committee member** 

39. Yale Center for Engineering, Innovation, and Design, New Haven, Connecticut, USA member**

40. Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), The Institute for Health Metrics and Evaluation (IHME), at the University of Washington, Seattle, USA.**​

41. Genomic Data Science Community Network (GDSCN) Fellow: https://www.gdscn.org/*

 

Extramural Funding & Internal Awards/Grants (Selected academic and non-academic)*:

1. Center for Excellence in Teaching and Learning (CETL), Hardware Grant (2018), Georgia State University, Atlanta, 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, Atlanta, USA: “Utilization of convolutional neural networks for security against password cracking”: https://create-x.gatech.edu/about

3. Yale University, New Haven, Connecticut, USA, 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. 1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8

4. Entrepreneurship Foundation Fund (2020), Connecticut, 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. 1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8

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.

 ,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8​

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. Claflin University, Orangeburg, South Carolina, USA Student **Joshua Kiprono+π, presently software engineer at Atlassian, $7,169 (Direct costs, Effort=100%). App Deploy: https://joshuakiplimo-resparse-resumematch-6a8pxp.streamlit.app/ Poster Link,                [**30],[**39], GitHub. 

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”. 1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8​

8. Oracle for Research Award: https://www.oracle.com/research/ 1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8​

9. Institutional Development Award (IDeA) Networks of Biomedical Research Excellence (INBRE), Research Education of Teachers SC INRE South Carolina Established Program for Stem Cooperative Research South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), Research Experience for Teachers (RET) ,program (2022): https://www.furman.edu/integrative-research/education-outreach/research-experience-for-teachers-program/ (******Ms. Etha, Bamberg Ehrhardt High School). Award utilized for configuring computing infrastructure (Lenovo ThinkSystem SR250 rack servers) in the Department of Computer Science for machine learning applications.                   (Direct costs, Effort=100%), Github, Github

10. Claflin University, Orangeburg, South Carolina, USA, 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 costs, Effort=100%, Pilot funding).

11. Google HBCU Career Readiness Capacity Grant (2023): $20,000 (Direct costs, Effort=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 costs, Effort=100%). Claflin University, Orangeburg, South Carolina, USA students-**Priscilla Fatokun+π and **Oluwamayowa Owolabi+π               Github, Poster, Poster, [**30],[**39​].

13. National Science Foundation South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), RII Track-1 Award: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina ADAPT (2023-2027): Total Award (Direct and indirect costs), Role: Co-PI, NSF Identifier: 000879633, Effort=100% $20,000,000.00, Claflin Sub-award $414,000.00. 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. [*2024:16;2023: 9], [**38, 40, 42, 43] Poster Funding supports Claflin University students **Caliese J. Beckford+π, **Mr. Oluwademiladeayo Ashade+π, and **Mr. Sabb, Dinari+π. Neural networks on Computed tomography angiography (CTA) in peripheral arterial diseases (PAD), Thrust II: Techniques of computer vision for image analysis, Education and Workforce Development, Project Implementation Team.                       Presentation, PPT, PPT.

14. Claflin University, Orangeburg, South Carolina, USA, 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 costs, Effort=100%, Pilot funding),                      [**33], [**2024:47],  Poster, Github, Springer Intelligent Sustainable Systems. Paper, Presentation, PPT., GitHub, Poster 1, Poster 2.

15. National Science Foundation South Carolina Established Program for Stem Cooperative Research (SC EPSCoR), RII Track-1 Award, AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina (ADAPT), GAIN CRP Subaward, Clemson University (Grants for Applications in Industry and Networking Collaborative Research Program): AI-Enabled Construction of Aligned Collagen Using Two-Photon Techniques (2024-2025): Total Award (Direct and indirect costs) $70,000.00 [**43], Poster, Funding supports Claflin University students **Caliese J. Beckford+π and **Mr. Sabb, Dinari+π. Role: Co-PI, NSF Identifier: 000879633, (Direct costs, Effort=100%). 

16. Title III and Special Initiative Office SEED Funding, Claflin University, Orangeburg, South Carolina, USA: Biomarker Identification for the Diagnosis of Chronic Lymphocytic Leukemia (CLL) (2024): Total Award (Direct and indirect costs) $8,840.00 Github, Students involved **Lierra Rivera+π Presently doctoral student at Clemson University, Bioengineering Program, **Germari Cull+π, **Mr. Adrian Lockwood+π (URISE mentor), and **Kalyn Wesby+π. Role: PI, (Direct costs, Effort=100%). GitHub.

17. The Department of Defense (DoD), Army Materiel Command (AMC), HBCU/MI Equipment/Instrumentation grant award (2024–2025), Claflin University, Orangeburg, South Carolina, USA. Project officer: William A Creech. Total Award (Direct and indirect costs), Role: PI, Effort=100% $410,596. Basic, Applied, and Advanced Research in Science and Engineering: Intel Xeon NVIDIA GPU Server for Enhancing Computational Capabilities at Claflin University.

[Role-Investigator: 1,2,3,4,5,7,8; Co-PI/PI: 6,9,10,11,12,13, 14, 15, 16, 17]. [*Published articles from publications; **Presentations from conferences].

Travel Awards (Selected)*:

1. Georgia State University, Biology Graduate Student Association (BGSA), Atlanta, USA September 2013. Github, [*2019: 13], [**12].

2. Western Kentucky University, Department of Biology, Bowling Green, Kentucky, USA Nov 2011. Github,  [*2011: 4], [**15].

3. New England Complex Systems Institute (NECSI) conference, 2018: https://necsi.edu/

4. Institute for Data Engineering and Science, Georgia Institute of Technology, Atlanta, USA 2019: http://dsf.ideas.gatech.edu/events/mlse

5. Cascadia R Conf 2021 Workshop Scholarship.

6. Baylor College of Medicine, Houston , Texas, USA All of Us Evenings with Genetics (AoUEwG), Research Program’s Underrepresented Biomedical Faculty Summit (UBRFS).

7. Biology Graduate Student Association (BGSA), Georgia State University, Atlanta, USA American Association for Cancer Research (AACR) conference, 2019. Github, [*2019: 8], [**8].

8. Guest Lecturer, Issued by Bharati Vidyapeeth, Pune. India. Dec 2018. University: http://bvuniversity.edu.in/
Topic: Artificial Intelligence, Fuzzy logic and its applications in Homeopathic Repertories.  PPT: https://github.com/spawar2/Shrodinger-Equation/blob/main/Presentation_Tejas_Webinar.pptx. Git: https://github.com/spawar2/Shrodinger-Equation
9. Guest Lecturer, Managing research effectively, 2023 online summer school by Narayanan A, Lahiri C & Pawar S, Center for Research, Innovation & Translation, Department of Biotechnology, Atmiya University, India. 
University: https://atmiyauni.ac.in/. Topic: https://www.claflin-computation.com/_files/ugd/81dd80_c9592316356c4638915e40a5a42c6bdf.pdf

10. Honored Listee, Marquis Who's Who, https://marquiswhoswho.com/

11. AWS Machine Learning University Bootcamp for Educators, Introduction to Machine Learning. https://the-cs.org/train-aws-pd , Machine Learning Intensive Bootcamp (Introduction to Machine Learning Part 2)(1, 2, 3), 

Amazon Web Services (AWS), Machine Learning Professional Development Intensive Bootcamp Part I for Teachers

2023-2024, The Coding School: Data Visualization, Machine Learning Models, Responsible Artificial Intelligence.

12. Keynote Speaker, 2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS 2021). Artificial intelligence and cancer biomarker discovery, Chongqing, China by Shrikant Pawar, Keynote speaker, http://icaiis.org/Keynote-Speekers.html. Topic: https://dl.acm.org/doi/10.1145/3469213.3469214 Github, [*2021: 13], [**3].