Talks: (Invited/Contributed)

1. Leveraging AI for comprehensive Parkinson's disease management: Insights from MRI, gait, and hand drawing analysis. 17 December 2024, AICTE Training and Learning (ATAL) Academy, Online Faculty Development Programme on The Digital Revolution: Innovations in Neurodegenrative Disorder Diagnostics. Keynote Talk. 

2. AI foundation models for biomedical informatics - Introduction, hype and reality. 15 October 2024, CCHMC Shared Facilities Colloquium, Cincinnati, USA. AI in Science. Invited Talk.

3. AI for Neuro Science. 22-23 March 2024, International Conference on Sustainable Advanced Computing (ICSAC), Christ University, Banglore, India. Keynote Talk. (Online)

4. AI-driven biomedical imaging informatics. 14-16 December 2023, International Conference on Computational Intelligence, Cyber Security and Computational Models (ICC3), PSG College of Technology, Coimbatore, India. Plenary Talk. (Online)

5. AI-driven biomedical imaging informatics. 14-15 December 2023, International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES), St. Joseph's Institute of Technology, Chennai, India. Keynote Talk. (Online)

6. AI-driven biomedical imaging informatics. August 25, 2023, 10th Annual Charge Against Cancer “Leveraging Artificial Intelligence and Data Sciences to Conquer Cancer”, University of Cincinnati, OH USA. 

7. Understanding biomedical informatics data with mathematics - Applications in Micro to Macro imaging. 24th February, 2023, International Conference on Applied Mathematics, Federal Institute of Science and Technology (FISAT), Angamaly, Kerala, India. Keynote Talk. (Online)

8. Artificial intelligence in capsule endoscopy: Are we on the cusp?. IBD Horizons, Cincinnati, USA, 11 February 2023. Invited Podium Talk, 2nd Best Abstract Award.

9. Adversary or Ally? Generative adversarial models in biomedical image analysis. 5th January 2023. IEEE International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), St. Joseph's Institute of Technology, Chennai, India. Keynote Talk. (Online)

10. Neuroimaging informatics - Image processing to deep learning. 27 July 2022. Faculty Development Program on Artificial Intelligence and Big Data in Biology, Healthcare and Cancer Research. Marwadi Univeristy, RajKot, Gujarat, India. (Online)

11. Biomedical image processing - Introduction to state-of-the-art. 22 July 2022. UTD Computer Science Outreach, University of Texas at Dallas, USA. (Online)

12. Adversary or Ally? Generative adversarial models in biomedical image analysis, 15-16 July 2022. IEEE International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), St. Joseph's Institute of Technology, Chennai, India. Keynote Talk. (Online)

13. AI models for medical image processing - Oldest (CNN) to newest (Transformers). 7 July 2022. Cincinnati Children's Artificial Intelligence Imaging Research (CAIIR) Center, Cincinnati, USA. Inaugural Talk.

14. Neuroimaging informatics - Image processing to deep learning. 25 Apr 2022, Vellore Institute of Technology, India. (Online)

15. Biomedical imaging informatics - From classical models to deep learning, 3rd March 2022. Faculty Development Program on Emerging Trends in Information Technology. Babu Banarasi Das Institute of Technology & Management, India. (Online)

16. Large-scale computational biomedical image analysis and informatics - Micro to macro, 30th Sep 2021, Christ University, Bengaluru, India. International Webinar. (Online)

17. Large-scale computational biomedical image analysis and informatics - Micro to macro, 5th April 2021, Department of Information Technology (DIT), IUB, Pakistan. (Online)

18. Computational biomedical image analysis and informatics - Micro to macro, 25 Sep 2021, IEEE sponsored 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India. Keynote Talk. (Online)

19. Large-scale computational biomedical image analysis and informatics - Micro to macro, 10 April 2021, 2nd International Conference on Smart Automation in Computer, Electrical, Electronics and Communication Engineering (ICSA), Chennai, India. Plenary Talk. (Online)

20. Large-scale computational biomedical image analysis and informatics. All India Council for Technical Eduation (AICTE) sponsored Short Time Training Programme (STTP) on Biosensors, Medical Imaging and Signal Processing Techniques for Diagnosis, 22 December 2020, PSNA College of Engineering and Technology, Dindigul, India. (Online)

21. Large-scale computational biomedical image analysis and informatics - Micro to macro, 9th October 2020, Department of Computer Science and IT, The Government Sadiq College Women University Bahawalpur, Pakistan. (Online)

22. Large-scale computational biomedical image analysis and informatics, 18th June 2020, Department of Zoology, Kongunadu Arts and Science College, Coimbatore, India. “International Virtual Conference on Biology in 21st Century: Transformation of Biological Sciences in Support the Sustainable Development Goals”. (Online)

23. Deep learning on the fly - Deep learning with examples, 24 Sep 2019, Vellore Institute of Technology, Vellore, India. (Online) 

24. Large-scale computational biomedical image analysis and informatics - Micro to macro, 24 Sep 2019, Vellore Institute of Technology, Vellore, India. (Online)

25. Globally convex variational regularization in imaging problems. Inverse Problems Symposium, 29-31 May 2019, Purdue University, IN, USA.

26. Neuroimaging informatics - Image processing to deep learning. Psychiatry and Behavioral Neuroscience, 3 Apr 2019, University of Cincinnati, USA.

27. Computerized microvascular dura mater structure extraction and analysis from microscopy - Image processing to deep learning. Pharmacology and Systems Physiology Seminar Series, 29 Jan 2019, University of Cincinnati, USA.

28. Neuroimaging informatics - Image processing to deep learning. Collaborative for Research on Acute Neurological Injuries (CRANI), 17 Jan 2019, University of Cincinnati, USA.

29. Deep learning on the fly - Introduction to deep learning. 12 Oct 2018, Computational Biology Focus Group, CCHMC, USA.

30. Machine learning/deep learning models for classification. 16 Dec 2017, Vellore Institute of Technology, India. 

31. Content-based image/video retrieval models - Current trends. 15 Dec 2017, Vellore Institute of Technology, India. 

32. Partial differential equations, variational methods for image and video processing. 28 Oct 2017, Vellore Institute of Technology, India. 

33. Large-scale computational biomedical image analysis and informatics -- Micro to macro. 25 Oct 2017, Vellore Institute of Technology, India. 

34. Large-scale computational biomedical image analysis and informatics -- Micro to macro. Hutton Lecture Series, 3 Feb 2017, Cincinnati Children's Hospital and Medical Center, OH, USA.       

35. Computational biomedical image analysis: Microscopy to endoscopy. 19 Oct 2015, Cincinnati Children's Hospital and Medical Center, OH, USA.

36. Image restoration with structure tensor based filters. Computer Science Seminar, 8 Oct 2015, Department of Computer Science, University of Missouri-Columbia, MO, USA.

37. Computational biomedical image analysis: Microscopy to endoscopy. 21 July 2015, St. Jude Children's Research Hospital, Memphis, TN, USA.

38. Globally convex variational models for computer vision problems. 9 Apr 2015, Department of Mathematics, Indian Institute of Technology Madras, India. 

39. Analysis of adaptive forward-backward diffusion flows from image processing. 9 Mar 2015, Department of Mathematics, Indian Institute of Technology Kanpur, India. 

40. Dissipative solutions for generalized forward-backward diffusion equations. 23-25 October 2014, 10th Mississippi State Conference on Differential Equations and Computational Simulations, (DECS), Mississippi State University, Starkville, MS, USA. 

41. Adaptive total variation regularization in image processing. 5th International Conference on Computational Harmonic Analysis, 19-23 May 2014, Vanderbilt University, TX, USA.

42. Multiscale image representation using hierarchical diffusion constrained total variation decomposition. Modern Perspectives in Applied Mathematics: Theory and Numerics of PDEs. (A Conference in Honor of Eitan Tadmor's 60th Birthday), April 28 - May 2, 2014, Bethesda, MD, USA. 

43. The influence of PDE based image processing in analysis: Modern developments. Mini-Symposium on Analysis of PDEs from Image processing at the SIAM Conference on Analysis of Partial Differential Equations (PD), 7-10 December, 2013, Lake Buena Vista, FL, USA. 

44. Global dissipative solutions for generalized forward-backward diffusion equations. AMS Fall Central Sectional Meeting, 18-20 October, 2013, Washington University, St. Louis, MO, USA.

45. Variable exponent function spaces and p(x)-Laplacian driven nonlinear diffusion. The Prairie Analysis Seminar, 27-28 September, 2013, Department of Mathematics, Kansas State University, Manhattan, KS, USA.

46. On Moore-Penrose inverse based image restoration.  International Linear Algebra Society Conference (ILAS), 3-7 June 2013, Rhode Island, MA, USA.

47. Multiresolution regularization methods for image deblurring. New Frontiers in Numerical Analysis and Scientific Computing (A conference on the occasion of Lothar Reichel's 60th birthday and on the 20th anniversary of ETNA), 19-20 April 2013, Kent State University, OH, USA.

48. Geometric separation using shearlets: Application to road line extraction. International Conference on Approximation Theory XIV, 7-10 April 2013, San Antonio, TX, USA.

49. Globally convex variational models for computer vision problems. Computer Science Seminar, 21 March 2013, Department of Computer Science, University of Missouri-Columbia, MO, USA.

50. Global dissipative solutions for generalized forward-backward diffusion equations. The Third Ohio River Analysis Meeting, 9-10 March 2013, University of Cincinnati, OH, USA. Talk slides at figshare: doi:10.6084/m9.figshare.646651

51. Adaptive total variation regularization in image processing. SIAM Conference on Computational Science and Engineering (SIAM CSE), 25 February - 1 March 2013, Boston, MA, USA.

52. On generalized Perona--Malik diffusion equations in image processing. Joint Mathematics Meetings of AMS & MAA (JMM), 9-12 January 2013, San Diego, CA, USA.

53. Adaptive total variation regularization in image processing. January 2013, Department of Mathematics, Indian Institute of Technology Madras, India.

54. Mucosal surface detection and reconstruction from endoscopic images with robust perspective shape from shading. Core Imaging Group Seminar, February 2012, US National Library of Medicine, NIH, Bethesda, MD, USA.

55. Gradfit: image restoration and segmentation with gradient fitting based regularization. Emerging Researcher Conclave, Eighth Indian Conference on Vision, Graphics and Image Processing (ICVGIP), December 2012, IIT Bombay, Mumbai, India.

56. On gradient domain regularization for image processing problems. Inverse Problems Symposium (IPS), 10-12 June 2012, Michigan State University, MI, USA.

57. Efficient numerical techniques for adaptive total variation regularization in image processing. Midwest Numerical Analysis Days (NA), 12-13 May 2012, Notre Dame, IN, USA.

58. Wireless endoscopic imaging. CIÊNCIA 2010 - Encontro com a Ciencia em Portugal (Ciencia), 4-7 July 2010, Lisbon, Portugal.

59. Variational segmentation schemes for mucosa detection in wireless capsule endoscopic images and videos. Summer School and Workshop on Imaging Sciences and Medical Applications (ISMA), 15-23 June 2010, Coimbra, Portugal.

60. The role of edge indicator function in Perona-Malik diffusion equations. International Conference on Recent Trends in Computational Partial Differential Equations (ICCPDE), 10-13 December 2008, IITB, Mumbai, India.

61. Regularization and PDE based schemes for early computer vision problems. National Meet of Research Scholars in Mathematical Sciences (NMRSMS), 06-10 December 2008, IITK, Kanpur, India.

62. Robust M-estimators in early computer vision problems. International Conference On New Trends in Statistics and Optimization (ICONTSO) 20-23 October 2008, Kashmir, India. Podium presentation.

Awards:

• 2nd Best Abstract Award, IBD Horizons, Cincinnati, USA, February 2023.

• 2nd Best Poster Award, Computational Modeling of Biological Systems (SysMod) Community of Special Interest (COSI), Intelligent Systems for Molecular Biology (ISMB), Madison, WI, USA, July 2022. 

• Best Paper Award, Work-in-Progress, 10th International Conference on Informatics, Electronics & Vision (ICIEV), Online, 2021.

• Second Place Award, Capstone Poster Symposium, University of Cincinnati, Cincinnati, OH, USA 2019.

• Best Paper Award Finalist at the 6th International Conference on Informatics, Electronics & Vision (ICIEV), Himeji, Hyogo, Japan, 2017.

• Outstanding Paper Award at the 7th International Workshop on Regional Innovation Studies (IWRIS), Mie, Japan, October 2016.

• Best Paper Award finalist at the 38th Annual International Conference EMBS, Orlando, FL, USA, 2016.

• Best Paper Award at the Analysis of Images, Social Networks, and Texts (AIST), Yekaterinburg, Russia, 2014.

• Third place (out of 150 participants) in the final Certificate Examination at the International Computer Vision Summer School (ICVSS), Sicily, Italy, July 2011.

• US Nair Young Statistician Award by Indian Society for Probability and Statistics (ISPS) in XXVIII Annual Conference of the ISPS 2008, India.

• Best Paper Award at the Sixth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2008). A Citation Certificate and Rs. 3000 Cash Prize. 

• Selected as one of the best participant & awarded Rs. 1000/- Cash Prize + 3 books at the Annual Foundational School-I (AFS-I), December 2005. Sponsored by the National Board of Higher Mathematics (NBHM), India.

• Joint CSIR-UGC Junior Research Fellowship (Mathematics) & Lectureship Award 2005 (National Level), India.

• Joint CSIR-UGC National Eligibility Test (NET) for Lectureship (Mathematics) Award 2004 (National Level), India.

• Graduate Aptitude Test in Engineering (GATE) 2004 Mathematics: Percentile Score 88.50 (out of 100) & All India Rank 171.

Travel Grants:

• Travel grant to attend Biophysics and Quantitative Biology in the AI Era Workshop at the NSF AI Planning Institute, Carnegie Mellon University, PA, USA, 12-13 January 2023.

• Support grant (1050$) to attend The Statistical and Applied Mathematical Sciences Institute (SAMSI) Deep Learning Program. Duke University, Durham, NC, USA, August 12-16, 2019. Parts of Working Groups: Deep learning - Novel Applications, Interpretable deep learning, Deep learning for dimension reduction.

• Travel grant (500$) to attend Mathematical Fluids, Materials and Biology, A conference in honor of the 60th Birthday of Michael J. Shelley, University of Michigan, Ann Arbor, MI, Jun 2019.

• Travel grant (500$) to attend Conference on Fast Direct Solvers at Purdue University, IN, USA, November 8-11, 2018.

• Travel grant (300$) to attend 82nd Midwest PDE Seminar, Purdue University, IN, USA, October 27-28, 2018.

• Travel grant (500$) to attend  Approximation Theory and Machine Learning, Purdue University, IN, USA, September 29-30, 2018.

• SIAM-NSF travel grant (2000$) to attend International Congress on Industrial and Applied Mathematics (ICIAM), Beijing, China, Aug 10-14 2015.

• Support grant to attend Advanced Numerical Methods in the Mathematical Sciences at the Texas A&M University, College Station, TX,  May 4-8, 2015.

• Support grant to attend February Fourier Talks  (FFT) at the Norbert Wiener Center in the Department of Mathematics, University of Maryland, College Park, USA, February 19-20, 2015.

• Travel & lodging grant from IPAM, UCLA to attend the workshop Computational Photography and Intelligent Cameras, Feb 4-6, 2015.

• NSF travel grant (1040$) to attend 10th Mississippi State Conference on Differential Equations and Computational Simulations, October 23-25, 2014, Mississippi State University, Starkville, MS, USA.

• NIH/EMBS travel grant  (300$) to attend 36th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2014), Chicago, IL, USA, August 2014.

• Travel grant (1000$) to attend the International Conference on Spectral and High Order Methods (ICOSAHOM 2014), Salt Lake City, UT, USA, June 2014. (Declined)

• Travel grant (300$) to attend The 73rd Midwest PDE Seminar, May 10-11, 2014, Department of Mathematics, Northwestern University, IL, USA.

• Travel grant (700$) to attend 5th International Conference on Computational Harmonic Analysis (ICCHA), May 19-23, 2014, Vanderbilt University, TX, USA.

• Travel grant (750$) to attend the conference on Modern Perspectives in Applied Mathematics: Theory and Numerics of PDEs. (A Conference in honor of Eitan Tadmor's 60th Birthday), April 28 - May 2, 2014, Bethesda, MD, USA. 

• Travel grant (800$) to attend The Seventeenth Riviere-Fabes Symposium on Analysis and PDE, April 25-27, 2014, University of Minnesota, MN, USA.

• Support grant to attend February Fourier Talks  (FFT) at the Norbert Wiener Center in the Department of Mathematics, University of Maryland, College Park, USA, February 2014.

• Travel grant (500$) to attend The Prairie Analysis Seminar, Kansas State University, Manhattan, KS, USA, September, 2013.

• Travel & lodging grant (2000$) from IPAM, UCLA to attend the Graduate Summer School: Computer Vision, July - August, 2013. 

• Travel grant (500$) to attend the Midwest Partial Differential Equations Seminar, University of Michigan, Ann Arbor, May, 2013. 

• Travel grant (500$) to attend First Central Region Conference on Numerical Analysis and Dynamical Systems, Department of Mathematics, University of Kansas, Lawrence, KS, USA, May, 2013.

• NSF travel grant (500$) to attend New Frontiers in Numerical Analysis and Scientific Computing Conference at Kent State University, OH, USA, April, 2013.

• Travel grant (500$) to attend the14th International Conference Approximation Theory, San Antonio, TX, USA, April, 2013.

• Travel grant (500$) to attend The Third Ohio Analysis Meeting at University of Cincinnati, OH, USA, March, 2013.

• SIAM-NSF Travel grant (650$) to attend SIAM Conference on Computational Science & Engineering (CSE) at Boston, MA, USA, March 2013.

• Travel grant to attend February Fourier Talks  (FFT) at the Norbert Wiener Center in the Department of Mathematics, University of Maryland, College Park, USA, February 2013.

• Missouri University Postdoctoral Association (MUPA) travel grant (500$) to attend IEEE EMBS conference at San Diego, CA, USA, August 2012.

• Summer Fellowship (4000$) to attend Summer Thematic Program on the Mathematics of Medical Imaging at the Fields Institute, Toronto, Canada, July-August 2012.

• Travel grant (500$) to attend 25th Inverse Problems Symposium at Michigan State University, East Lansing, MI, USA, June 2012.

• Travel grant (250$) to attend Midwest Numerical Analysis Days, University of Notre Dame, In, USA, May 2012.

Workshops Attended:

• Tenth Ohio River Analysis Meeting, University of Kentucky, KY, USA, March 28-29, 2020.

• 84th Midwest PDE seminar, Illinois Institute of Technology, Chicago, IL, USA, April 26-27, 2019.

• The Statistical and Applied Mathematical Sciences Institute (SAMSI) Deep Learning Program, Opening Workshop, Duke University, NC, USA, August 12-16, 2019.

• Mathematical Fluids, Materials and Biology, University of Michigan, Ann Arbor, MI, Jun 2019. A conference in honor of the 60th Birthday of Michael J. Shelley.

• Midwest Numerical Analysis Day, Illinois Institute of Technology, Chicago, IL, USA, April 20, 2019.

• Ninth Ohio River Analysis Meeting (ORAM), University of Cincinnati, OH, USA, March 30-31, 2019.

• Conference on Fast Direct Solvers at Purdue University, IN, USA, November 8-11, 2018.

• 82nd Midwest PDE Seminar, Purdue University, IN, USA, October 27-28, 2018.

• Approximation Theory and Machine Learning, Purdue University, IN, USA, September 29-30, 2018.

• Annual CCHMC Sickle Cell Research and Education Day, August 25th, 2018. 

• Indian Women and Mathematics, Regional Workshop on Research and Opportunities, Jan 2017, Cochin University of Science and Technology, Kerala, India.

• Celebrating Teaching, May 2015, University of Missouri, Columbia, MO USA.

• Missouri Informatics Symposium, April 27-28, 2015, Monsanto Auditorium, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.

• 73rd Midwest PDE Seminar, May 10-11, 2014, Department of Mathematics, Northwestern University, IL, USA.

• Information Experience (IE) Lab Usability Conference: User Experience in Healthcare and Education, University of Missouri, Columbia, MO, USA, November 14-15, 2013.

• Science Outreach and Communication - A Career Symposium, University of Missouri, Columbia, MO, USA, September 21, 2013.

• Graduate Summer School: Computer Vision at IPAM, University of California Los Angeles, USA, July 22 - August 9, 2013.

• Workshop on Phaseless Reconstruction, 23-25 February 2013, Department of Mathematics, University of Maryland, College Park, USA.

• Workshop on Digital Video Analytics and Processing (DVAP), 21-22 December 2012, IIT Madras, Chennai, India.

• Missouri Informatics Symposium, October 22-23, 2012, Monsanto Auditorium, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.

• COMSOL Workshop, 10 October, 2012, University of Missouri, Columbia, MO, USA.

• Short Term Course on New Insights on Scales in Geo-data Analysis to Seismic Interpretation (NSGS), October 10-14, 2011, IIT Madras, Chennai, India.

• International Computer Vision Summer School (ICVSS): Registration, Recognition and Reconstruction in Images and Video, July 2011, Sicily, Italy.

• Annual Foundational School - II (AFS-II) June 2006 in Bhaskaracharya Prathistana (BP) & University of Pune, India (Funded by NBHM).

• Annual Foundational School - I (AFS-I) December 2005 in Bhaskaracharya Prathistana (BP) & University of Pune, India (Funded by NBHM).

• Instructional School on Computational Partial Differential Equations (CPDE) June 2005 in IITB, Mumbai, India.

Teaching:

Division of Biomedical Informatics, CCHMC, USA - Instructor - January to May - 2019, 2020, 2021, 2022, 2023

Data Science for Biomedical Informatics (BMIN/CS/7054, BE9063 - Graduate Level Course - 3 Credit hours)

• Teaching Deep Learning Modules with R/Python/Tensorflow/Keras

• Introduction to Deep Learning/CNN/Tensorflow Computational Frameworks

Service:

Referee:

1. Journals (Reviewer profile: https://publons.com/researcher/337930/surya-prasath)

   • IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Image Processing (TIP), International Journal of Computer Vision (IJCV), Journal of Mathematical Imaging and Vision (JMIV), Medical Image Analysis, IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE Geoscience and Remote Sensing Letters (GRSL), IEEE Signal Processing Letters (SPL), International Journal of Remote Sensing (IJRS), Remote Sensing Letters (RSL),  Pattern Recognition Letters (PRL), Machine Vision and Applications (MVA), Optical Engineering (OE), Optics Letters (OL), IEEE Access, Scientific Reports, Journal of Electronic Imaging (JEI), Journal of the Optical Society of America A: Optics, Image Science & Vision (JOSA A), Applied Mathematics & Computer Science (AMCS), Computers & Electrical Engineering (Outstanding Reviewer Award - 2015), Swarm and Evolutionary Computation, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (CMBBE-IV), International Journal of Imaging Systems and Technology (IJIST), The Computer Journal, Imaging Science Journal, Medicine, Mathematical Methods in the Applied Sciences (M2AS), Computers and Mathematics with Applications, Sensing and Imaging, Sensors, Entropy, Remote Sensing, Journal of Imaging, Mathematical Problems in Engineering, Circuit World, World Journal of Gastroenterology, PLoS One, SIAM Imaging Science (SIIMS), Applied Mathematical Modeling, Genomics, Proteomics & Bioinformatics, European Radiology, Computers in Biology and Medicine, Connection Science,...

2. Conferences

   • IEEE International Conference on Image Processing (ICIP) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). IEEE International Symposium on Biomedical Imaging (ISBI), IEEE International Conference on Image Processing (ICIP), International Conference on Pattern Recognition (ICPR), Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV),...

3. Grants

   • Proposal Reviewer - Mathematics, National Science Center, Poland - 2016

   • OSU - CCTST                             

   • CCRF - PORA

4. Judge Panel, The Spring Undergraduate Research & Creative Achievements Forum, University of Missouri-Columbia, USA, 2012 to 2017.

5. Judge Panel, Undergraduate Research Forum, University of Cincinnati, USA, 2018, 2019, 2020, 2021, 2022.

6. Campus Security Authority (CSA), University of Cincinnati, USA, 2022-.

7. Volunteer Ambassador, CCHMC, USA, 2018-.

Committees: 

1. PhD students

   • CCHMC - Lei Liu (Biomedical Informatics, CCHMC/UC - Advisor: Yizhao Ni) - Graduate Committee Chair - Currently Postdoc, China

- Thesis Title: Leveraging Machine Learning for Pattern Discovery and Decision Optimization on Last-Minute Surgery Cancellation

1. • CCHMC - Pieter-Jan van Camp (Biomedical Informatics, CCHMC/UC - Advisors: Alexey Porallo) - Graduate Committee Member - Currently Postdoc, Harvard

- Thesis Title: Evaluating the Bacterial (Meta)Genome for Antimicrobial Resistance using High-throughput Sequencing

1. • CCHMC - Kang Jin (Biomedical Informatics, CCHMC/UC - Advisor: Bruce Aronow) - Graduate Committee Member

- Thesis Title: TBA - Single Cell Biology + Machine Learning

1. • CCHMC - Faiz Rizvi (Systems Biology and Physiology, CCHMC/UC - Advisor: Emily Miraldi) - Graduate Committee Member

- Thesis Title: TBA - Single Cell Biology + Deep Learning

• CCHMC - Frank Li (Biomedical Informatics, CCHMC/UC - Advisor: Nathan Salomonis) - Graduate Committee Member

- Thesis Title: TBA - Single Cell Biology + Machine Learning

1. • CCHMC - Kairavee Thakkar (Systems Biology and Physiology, CCHMC/UC - Advisor: Nathan Salomonis) - Graduate Committee Member

- Thesis Title: TBA - Trajectory Inference in Single Cell Biology + Machine Learning

• CCHMC - Shruti Eswar (Systems Biology and Physiology, CCHMC/UC - Advisor: Sandra Andorf) - Graduate Committee Member

- Thesis Title: TBA - Flow Cytometry + Machine Learning

2. MS students

   • Xiaoxuan (Ruby) Liu (Computer Science, CEAS, UC - Advisor: Surya Prasath) - Currently BMI, CCHMC PhD Student

- Thesis Title: Interpretable Machine Learning for Histopathology Images Classification in Pediatric Ulcerative Colitis Remission Prediction

2. • Manaswini Masetty (Chemical and Environmental Engineering, CEAS, UC - Advisor - Aashish Priye) - Currently Associate Clinical Genomics Specialist, PierianDx

- A Smartphone Enabled Molecular Diagnostic Toolkit to Detect Pathogens via Isothermal Nucleic Acid Amplification on Pre-Dried Disposable Paper Strips

Local Community Service:

• Sycamore Robotics - https://www.firstinspires.org/ Engaging Youth in STEM Exploration - Lego League Coach Explore/Challenge - 2022-2023, 2023-2024, 2024-2025

Tidbits you really do not need to know about Surya:

1. His Erdös number is 5 - My Erdös number seems to be the 'median' level! Hopefully it will become < 5, (but surely > 2) in the future!! ;-)

2. He is multilingual - Tamil, English, Malayalam, Telugu, Hindi!

3. He studied until his undergraduate degree (BSc Mathematics) in Tamil Medium - Subjects were taught in Tamil language including Mathematics, Physics, Chemistry, Biology (Botany + Zoology)!

4. He has not (officially) studied Biology after the 12th Standard/Grade and now he is an Assistant Professor in Bioinformatics!

5. He learned Neural Networks in 2001 as part of his Discrete Mathematics (!) graduate course - though he never predicted it will herald AI/Deep Learning Era we see now!

6. He learned Topology in 2002 and even presented a seminar + viva in Masters - though he never predicted it will herald the TDA = Topological Data Analysis area we see now!

7. He has 15+ years worth of English Premier League, Spanish La Liga knowledge - players, teams, transfers, iconic matches, goals !

8. He has worked and did research in three different continents - Asia (India), Europe (Portugal), and North America (USA)!

9. He has donated blood, platelets, red cells from 2004 continuously in India, and now in the USA! Please donate if you can !

10. He can do a full cartwheel multiple times (minimum 5 continuously) !

A short note on my name:

My full name is: Surya Prasath Vellai Badradoss

Surya Prasath - my name (in Tamil: சூரிய பிரசாத்)

Vellai - my village name (actually my father's!)

Badradoss - my father name

I prefer to be just called Surya - சூர்யா (pronounced soo-r-ya)! :-)

In India I used V. B. Surya Prasath (or Surya Prasath V. B. depending on where you prefer your initials) and in Europe (Portugal)/USA I used the full name as in my Passport/Visa. Thus, for all purposes my given name is SURYA PRASATH and surname/family name is VELLAI BADRADOSS.

In my publications all sorts of combinations happened: V. B. Surya Prasath, V. B. S. Prasath, V Prasath (in IEEE publications), VB Prasath, Prasath, VBS, and S. Prasath.

If you are still not confused enough(!) kindly refer to the following references: :-P

[1] Indian name (Wikipedia article)

[2] Family name (Wikipedia article)

In tamil my name Surya (சூர்யா) means the Sun ☉ see: http://www.first-names-meanings.com/names/name-SURYA.html

My mother-tongue is Tamil and it is one of the ancient languages in the world. I am very proud of my Tamil origin and can recite all the famous sayings from திருவள்ளுவர், ஒளவையார்,...My favorite poet is Bharati. தமிழன் என்று சொல்லடா தலை நிமிர்ந்து நில்லடா   !