Biomedical and Healthcare Engineering

Human Robot Systems (HRS) Laboratory

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The Human Robot Systems (HRS) Laboratory is part of the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst.

Our mission is to advance how humans and robots learn to guide the physical interactive behavior of one another. To achieve this, our research aims to:

Engineering Thematic Area:

Disease Prediction and Prevention Modeling

Link to lab homepage:

https://blogs.umass.edu/chaitrag/

Engineering Thematic Area:

Biomedical and Healthcare Engineering

Jiménez Lab Biology * Medicine * Engineering

Link to lab homepage:

https://juanmjimenez.weebly.com/

Our laboratory studies the interaction between fluid flow and biology, by integrating fluid dynamic engineering, cellular and molecular biology. Body fluids or biofluids, such as blood, lymph, and cerebrospinal fluid continuously interact with cells in the body eliciting biochemical and physical responses. Our research seeks to elucidate the fluid flow characteristics and fluid flow-dependent biomolecular pathways relevant in medicine.

Engineering Thematic Area:

Biomedical and Healthcare Engineering

Srimathveeravalli Research Group

Link to lab homepage:

https://www.govindslab.com/home

Engineering Thematic Area:

Biomedical and Healthcare Engineering

Govind Srimathveeravalli

Assistant Professor

BME Adjunct

LSL N573

University of Massachusetts
160 Governors Drive
Amherst, MA 01003-2210

govind@umass.edu

(413) 545 - 6491

(413) 545 - 1027

Srimathveeravalli Research Group

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Education

PhD, SUNY, University at Buffalo
M.S., SUNY, University at Buffalo
B.E., University of Madras

Research

We develop technology for the delivery of non-ionizing energy that enables ablation or drug delivery to tumor and healthy living tissue. We use mathematical models to guide the design of novel medical devices to deliver energy to different locations in the body. We study the biological response of the tissue to energy delivery, and use that knowledge to improve treatment outcomes. Our work has applications in cancer therapy, nanoparticle and drug delivery, tissue engineering, and immunotherapy.

Program Area:

Mechanical Engineering

Research Area:

Biomedical and Healthcare Engineering

Publications

Kodama H, Ueshima E, Gao S, Monette S, Paluch LR, Howk K, Erinjeri JP, Solomon SB, Srimathveeravalli G. High Power Microwave Ablation of Normal Swine Lung: Impact of Duration of Energy Delivery on Adverse Event and Heat Sink Effects. Int J Hyperthermia. 2018 Feb 28:1-33.
Gu Y, Srimathveeravalli G, Cai L, Ueshima E, Maybody M, Yarmohammadi H, Zhu YS, Durack JC, Solomon SB, Coleman JA, Erinjeri JP. Pirfenidone inhibits cryoablation induced local macrophage infiltration along with its associated TGFb1 expression and serum cytokine level in a mouse model. Cryobiology. 2018 Apr 2.
Kodama H, Vroomen LGPH, Ueshima E, Reilly J, Brandt W, Paluch LR, Monette S, Jones D, Solomon SB, Srimathveeravalli G. Catheter Based Endobronchial Electroporation is Feasible for the Focal Treatment of Peri-Bronchial Tumors. J Thorac Cardiovasc Surg. 2017 Dec 2017.
Srimathveeravalli G, Abdel-Atti D, Perez-Medina C, Takaki H, Solomon SB, Mulder WJ and Reiner T. Imaging Reversible Electroporation Mediated Liposomal Doxorubicin Delivery in Tumors with Radiolabeled Nanoparticles. Mol Imaging. 2018 Jan-Dec; 2017.
Cornelis FH, Kim K, Durack JC, Jebiwott S, Scherz A, Srimathveeravalli G and Coleman JA. Contrast Enhanced Ultrasound Imaging can Predict Vascular Targeted Photodynamic Therapy Induced Tumor Necrosis in Small Animals. Photodiagnosis and Photodyn Ther. 2017 September.
Ueshima E, Schattner M, Mendelsohn R, Gerdes H, Monette S, Takaki H, Durack JC, Solomon SB and Srimathveeravalli G. Transmural Ablation of the Normal Porcine Common Bile Duct with Catheter-Directed Irreversible Electroporation is Feasible and Does Not Impact Duct Patency. J Gastrointenstinal Endoscopy. May 2017
Cornelis FH, Durack JC, Kimm SY, Wimmer T, Coleman JA, Solomon SB and Srimathveeravalli G. A Comparative Study of Ablation Boundary Sharpness After Pecutaneous Radiofrequency, Cryo-, Microwave, and Irreversible Electroporation Ablation in Normal Swine Liver and Kidneys. Cardiovasc Intervent Radiol. 2017 May;
Takaki H, Imai N, Thomas CT, Yamakado K, Hooman Y, Ziv E, Srimathveeravalli G, Sofocleous CT, Solomon SB, Erinjeri JP. Changes in peripheral blood T-cell balance after percutaneous tumor ablation. Minim Invasive Ther Allied Technol. 2017 Apr 18:1-7
Srimathveeravalli G, Cornelis F, Wimmer T, Monette S, Kimm SY, Maybody M, Solomon SB, Coleman JA, Durack JC. Normal Porcine Ureter Retains Lumen Wall Integrity but Not Patency Following Catheter-Directed Irreversible Electroporation: Imaging and Histologic Assessment over 28 Days. J Vasc Interv Radiol. 2017 Mar 30.
Boas FE, Srimathveeravalli G, Durack JC, Kaye EA, Erinjeri JP, Ziv E, Maybody M, Yarmohammadi H, Solomon SB. Development of a Searchable Database of Cryoablation Simulations for Use in Treatment Planning. Cardiovasc Intervent Radiol. 2017. Epub.
Kaye EA, Monette S, Srimathveeravalli G, Maybody M, Solomon SB, Gulati A. MRI-guided focused ultrasound ablation of lumbar medial branch nerve: Feasibility and safety study in a swine model. Int J Hyperthermia. 2016 Jul 21:1-9.
Murray KS, Ehdaie B, Musser J, Mashni J, Srimathveeravalli G, Durack JC, Solomon SB, Coleman JA. Pilot Study to Assess Safety and Clinical Outcomes of Irreversible Electroporation for Partial Gland Ablation in Men with Prostate Cancer. J Urol. 2016 Apr 23
Takaki H, Imai N, Contessa TT, Srimathveeravalli G, Covey AM, Getrajdman GI, Brown KT, Solomon SB, Erinjeri JP. Peripheral Blood Regulatory T-Cell and Type 1 Helper T-Cell Population Decrease after Hepatic Artery Embolization. J Vasc Interv Radiol. 2016 Apr 12.
14. Srimathveeravalli G, Cornelis F, Mashni J, Takaki H, Durack JC, Solomon SB, Coleman JA. Comparison of ablation defect on MR imaging with computer simulation estimated treatment zone following irreversible electroporation of patient prostate. Springerplus. 2016 Feb 29;5:219.
Kimm SY, Tarin TV, Monette S, Srimathveeravalli G, Gerber D, Durack JC, Solomon SB, Scardino PT, Scherz A, Coleman J. Nonthermal Ablation by Using Intravascular Oxygen Radical Generation with WST11: Dynamic Tissue Effects and Implications for Focal Therapy. Radiology. 2016 Mar 17:141571
Murray KS, Winter AG, Corradi RB, LaRosa S, Jebiwott S, Somma A, Takaki H, Srimathveeravalli G, Lepherd M, Monette S, Kim K, Scherz A, Coleman JA. Treatment Effects of WST11 Vascular Targeted Photodynamic Therapy for Urothelial Cell Carcinoma in Swine. J Urol. 2016 Jul;196(1):236-43.
Wimmer T, Srimathveeravalli G, Silk M, Monette S, Gutta N, Maybody M, Erinjeri JP, Coleman JA, Solomon SB, Sofocleous CT. Feasibility of a Modified Biopsy Needle for Irreversible Electroporation Ablation and Periprocedural Tissue Sampling. Technol Cancer Res Treat. 2015 Oct 6. [Epub ahead of print]
Kaye EA, Gutta NB, Monette S, Gulati A, Loh J, Srimathveeravalli G, Ezell PC, Erinjeri JP, Solomon SB, Maybody M. Feasibility Study on MR-Guided High-Intensity Focused Ultrasound Ablation of Sciatic Nerve in a Swine Model: Preliminary Results. Cardiovasc Intervent Radiol. 2015;38(4):985-92
Maybody M, Taslakian B, Durack JC, Kaye EA, Erinjeri JP, Srimathveeravalli G and Solomon SB. Feasibility of intermittent pneumatic compression for venous thromboembolism prophylaxis during magnetic resonance imaging-guided interventions. Eur J Radiol. 2015; 84(4):668-70.
Srimathveeravalli G, Silk M, Wimmer T, Monette S, Kimm S, Maybody M, Solomon SB, Coleman J and Durack JC. Feasibility of Catheter-Directed Intraluminal Irreversible Electroporation of Porcine Ureter and Acute Outcomes in Response to Increasing Energy Delivery. J Vasc Interv Radiol. 2015;26(7):1059-66
Lee KS, Takaki H, Yarmohammadi H, Srimathveeravalli G, Luchins K, Monette S, Nair S, Kishore S and Erinjeri JP. Pleural Puncture That Excludes the Ablation Zone Decreases the Risk of Pneumothorax after Percutaneous Microwave Ablation in Porcine Lung. J Vasc Interv Radiol. 2015;26(7):1052-8
Wimmer T, Srimathveeravalli G, Gutta NB, Ezell PC, Monette S, Maybody M, Durack JC, Erinjeri JP and Solomon SB. Planning Irreversible Electroporation (IRE) in the Porcine Kidney: Are Numerical Simulations Reliable for Predicting Empiric Ablation Outcomes? Cardiovasc Intervent Radiol. 2015;38(1):182-90.
Cornelis F, Takaki H, Laskhmanan M, Durack JC, Erinjeri JP, Getrajdman GI, Maybody M, Sofocleous CT, Solomon SB and Srimathveeravalli G. Comparison of CT Fluoroscopy-Guided Manual and CT-Guided Robotic Positioning System for In Vivo Needle Placements in Swine Liver. Cardiovasc Intervent Radiol. Cardiovasc Intervent Radiol. 2015;38(5):1252-60
Srimathveeravalli G, Kim C, Petrisor D, Ezell P, Coleman J, Solomon S, Stoianovici D, and Hricak H. MRI-Safe Robot for Targeted Transrectal Prostate Biopsy: Animal Experiments. BJU Int. 2014;113(6):977-85.
Tam AL, Abdelsalam ME, Gagea M, Ensor JE, Moussa M, Ahmed M, Goldberg SN, Dixon K, McWatters A, Miller JJ, Srimathveeravalli G, Solomon SB, Avritscher R, Wallace MJ, Gupta S. Irreversible Electroporation of the Lumbar Vertebrae in a Porcine Model: Is There Clinical-Pathologic Evidence of Neural Toxicity? Radiology. 2014;272(3):709-19.
Silk M, Wimmer T, Lee KS, Srimathveeravalli G, Brown KT, Sofocleous CT, Kingham PT, Fong Y, Durack JC and Solomon SB. Percutaneous Ablation of Peri-Biliary Tumors with Irreversible Electroporation (IRE). J Vasc Interv Radiol. 2014;25(1):112-8.
Krishnaswamy S, Shriber L and Srimathveeravalli G. The Design And Efficacy of A Robot Mediated Visual Motor Program for Children Learning Disabilities. J of Comp Asst Learning. 2014; 30(2):121-131.
Stoianovici D, Kim C, Srimathveeravalli G, Sebrecht P, Petrisor D, Coleman J, Solomon SB and Hricak H. MRI-Safe Robot for Endorectal Prostate Biopsy. IEEE ASME Trans Mechatron. 2013;19(4):1289-1299.
Srimathveeravalli G, Wimmer T, Monette S, Ezell PC, Gutta NB, Maybody M, Weiser MR and Solomon SB Evaluation of an Endorectal Electrode for Performing Focused Irreversible Electroporation Ablations in the Swine Rectum. J Vasc Interv Radiol. 2013;24(8):1249-56.
Wimmer T, Srimathveeravalli G, Gutta NB, Ezell PC, Monette S, Kingham PT, Durack JC, Fong Y and Solomon SB. Comparison of Simulation Based Treatment Planning to Imaging and Pathology Outcomes for Percutaneous CT-Guided Irreversible Electroporation of the Porcine Pancreas: A Pilot Study. J Vasc Interv Radiol. 2013;24(8):1249-56.
Srimathveeravalli G, Leger J, Ezell P, Maybody M, Gutta N, Solomon SB. A study of porcine liver motion during respiration for improving targeting in image-guided needle placements. Int J Comput Assist Radiol Surg. 2013;8(1):15-27.
Subrahmaniyan N, Krishnaswamy S, Chowriappa A, Srimathveeravalli G, Bisantz A, Shriber L and Kesavadas T. A Visual Haptic System for Children with Learning Disabilities: Software and Hardware Design Considerations. J of Interactive Learning Res. 2013; 23(2): 113-141
Seixas-Mikelus SA, Stegemann AP, Kesavadas T, Srimathveeravalli G, Sathyaseelan G, Chandrasekhar R, Wilding GE, Peabody JO, Guru KA. Content validation of a novel robotic surgical simulator. BJU Int. 2011;107(7):1130-5.
Kesavadas T, Stegemann A, Sathyaseelan G, Chowriappa A, Srimathveeravalli G, Seixas-Mikelus S, Chandrasekhar R, Wilding G, Guru K. Validation of Robotic Surgery Simulator (RoSS).Stud Health Technol Inform. 2011;163:274-6.
Seixas-Mikelus SA, Kesavadas T, Srimathveeravalli G, Chandrasekhar R, Wilding GE, Guru KA. Face validation of a novel robotic surgical simulator. Urology. 2010;76(2):357-60.
Srimathveeravalli G, Kesavadas T, Li X. Design and fabrication of a robotic mechanism for remote steering and positioning of interventional devices. Int J Med Robot. 2010;6(2):160-70.
Seixas-Mikelus SA, Adal A, Kesavadas T, Baheti A, Srimathveeravalli G, Hussain A, Chandrasekhar R, Wilding GE, Guru KA. Can image-based virtual reality help teach anatomy? J Endourol. 2010; 24(4):629-34.
Srimathveeravalli G, Gourishankar V, Kumar A and Kesavadas T. Experimental Evaluation of Shared Control for Rehabilitation of Fine Motor Skills, ASME J. Comput. Inf. Sci. Eng. 2009; 9(1):82-90.
39. Arulesan V, Srimathveeravalli G, Kesavadas T, Nagathan P, Baier RE. Data acquisition and development of a trocar insertion simulator using synthetic tissue models. Stud Health Technol Inform. 2007;125:25-7.
Kesavadas T, Srimathveeravalli G, Arulesan V. Parametric modeling and simulation of trocar insertion. Stud Health Technol Inform. 2006;119:252-4.

Honors

Abstract of the Year, Society of Interventional Radiology Annual Meeting, 2018
Travel Award for Collaboration, Govt. of Slovenia, 2017
Research Mentor of the Year, Dept. of Radiology, MSKCC, 2017
Best Reviewer, Eng. in Urology Symposium, AUA, 2014
Top 10 Abstract, Eng. in Urology Symposium, AUA, 2014
Featured Talk, Society of Interventional Radiology Annual Meeting, 2014
Cum Laude for Poster, CIRSE Annual Meeting, 2013
Top 10 Abstract, Eng. in Urology Symposium, AUA, 2013
Best Poster Award, Society of Interventional Radiology Annual Meeting, 2013
Featured Talk, Society of Interventional Radiology Annual Meeting, 2013
Outstanding Paper Award, Eng. in Urology Symposium, AUA, 2012
Professional Development Award, University at Buffalo, 2007
Graduate Student Research Award, University at Buffalo, 2005 & 2006
Conference Travel Award, Graduate Student Association, University at Buffalo, 2018
Graduate Education Scholarship, Sir Ratan Tata Trust, India, 2002
7th Rank in University, First Class with Distinction, University of Madras, 2002

Links

CV:

Srimathveeravalli_CV Jul 2021.pdf

Lab Affiliation:

Srimathveeravalli Research Group

Intelligent Sensing Lab

Link to lab homepage:

http://blogs.umass.edu/xiandu/

The start of Intelligent Sensing Lab includes three key areas:
1. Machine design (flexible electronics printer and medical device);
2. Control (Sensing, metrology, pattern analysis, feedback control)
3. Machine intelligence (Machine vision, image processing, deep learning)

Engineering Thematic Area:

Nano/Bio Interface Lab

Link to lab homepage:

https://people.umass.edu/jingleiping/

Research

Nanomaterials

Nanomaterials are materials with at least one of their three dimensions limited to nanometer, that is, a scale that quantum effects emerge. Two-dimensional (2D) materials is a class of nanomaterials with outstanding electrical, mechanical, chemical, and bio-transducing properties. Using methods based on chemical vapor deposition, 2D materials can be prepared in large scale (~ m) and high quality with tunable strength, transparency, disorder density, and electron transport properties.

Engineering Thematic Area:

Jinglei Ping

Assistant Professor

BME Adjunct

S603 Life Science Laboratories
University of Massachusetts
160 Governors Drive
Amherst, MA 01003-2210

ping@engin.umass.edu

(413) 545-3395

Nano/Bio Interface Lab

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Education

B.S. (with highest honor), Sun Yat-sen University, 2003
M. Phil., Sun Yat-sen University, 2008
Ph.D., University of Maryland–College Park, 2013

Research

Development of biosensing devices and systems based on two-dimensional (2D) materials and translation of 2D materials into applications in point-of-care diagnostics, drug testing, and healthcare.

Program Area:

Mechanical Engineering

Research Area:

Honors

NIH Trailblazer Award, 2022
Air Force Office of Scientific Research YIP Award, 2020

Links

Lab Affiliation:

Nano/Bio Interface Lab

Xian Du

Assistant Professor

S421 Life Science Laboratories

University of Massachusetts
240 Thatcher Way
Amherst, MA 01003

xiandu@umass.edu

(413) 577 - 0941

(413) 545 - 1027

Intelligent Sensing Lab

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Education

Ph.D. Innovation in Manufacturing Systems and Technology, Singapore-MIT Alliance, National University of Singapore; Singapore and Cambridge, MA
M.S. Mechatronics Engineering, Shanghai Jiaotong University; Shanghai, China
B.S. Mechanical Engineering, Tianjin University; Tianjin, China

Research

Xian Du's research focuses on the scale up of flexible electronics printing processes from lab to industry using high-precision in-line inspection and pattern recognition technologies for large surface quality control. He also works on automatic, high resolution, accurate, and robust imaging tools for medical devices for noninvasive detection and description of biomarkers.

Program Area:

Mechanical Engineering

Research Area:

Biomedical and Healthcare Engineering

Publications

Please see my Google Scholar page for full list

Rui Ma, Xian Du. “Closed-loop Feedback Registration for Consecutive Images of Moving Flexible Targets.” arXiv preprint arXiv:2110.10772, 2021.
Rui Ma, Johnathan Czernik, Xian Du. “Toward Real-world Image Super-resolution via Hardware-based Adaptive Degradation Models.” arXiv preprint arXiv:2110.10755, 2021.
Xi Qin, Bohan Wang, David Boegner, Brandon Gaitan, Yingning Zheng, Xian Du and Yu Chen. “Indoor localization of hand-held OCT probe using visual odometry and real-time segmentation using deep learning.” IEEE Transactions on Biomedical Engineering, accepted, 2021.
Jingyang Yan, Rui Ma, Xian Du. “Consistent optical surface inspection based on open environment droplet size-controlled condensation figures.” Measurement Science and Technology, vol. 32, no. 10, pp. 1-13, 2021.
Peter DiMeo, Lu Sun, Xian Du. “Fast and Accurate Autofocus Control Using Gaussian Standard Deviation and Gradient-based Binning.” Optics Express, vol. 29, no. 13. 2021.
Henry Yau, Xian Du. "Robust deep learning-based multi-image super-resolution using inpainting," Journal of Electronic Imaging, vol. 30, no. 1, pp. 013005, 2021, DOI: 10.1117/1.JEI.30.1.013005.
Xian Du, Jingyang Yan, and Rui Ma, “Fault Classification of Nonlinear Small Sample Data through Feature Sub-Space Neighbor Vote.” Electronics, vol.9, no. 11, pp. 1952, 2020.
Jingyang Yan and Xian Du, “Real-time web tension prediction using web moving speed and natural vibration frequency.” Measurement Science and Technology, vol. 31, no. 11, pp.115205, 2020.
Xian Du, “Fault detection using bispectral features and one-class classifiers." Journal of Process Control, vol. 83, pp. 1-10, 2019.
Xian Du, David Hardt, Brian Anthony, “Real time imaging of invisible micron-scale monolayer patterns on a moving web using condensation figure." IEEE Transactions on Industrial Electronics, vol. 67, no. 5, DOI: 10.1109/TIE.2019.2914632, 2019.

BOOK & BOOK CHAPTERS

Jingyang Yan and Xian Du (January 24th 2020). “Web Tension and Speed Control in Roll-to-Roll Systems” [Online First], IntechOpen, DOI: 10.5772/intechopen.88797. Available from: https://www.intechopen.com/online-first/web-tension-and-speed-control-in-roll-to-roll-systems.
Constantin Volosencu, Xian Du, Ali Saghafinia, Sohom Chakrabarty “Control Theory in Engineering,” IntechOpen, 2020.

(Invited talk and paper) Xian Du, Jingyang Yan and Rui Ma, “Real-Time Metrology for Roll-to-Roll Microcontact Print Process Monitoring,” the International Conference on Electron, Ion, and Photon Beam Technology and Nanofabrication (EIPBN), 2020.
(Speaker and paper) Xian Du and Dechao Zeng, “LED-based Solar Ring Light Simulator on a Measurescope,” the 2020 OSA Imaging and Applied Optics Congress, Vancouver, British Columbia, Canada, 22-26 June, 2020.
(Poster, https://nnt2019.org/#abstracts), Jingyang Yan, Mehdi Riza1, Rui Ma, Xian Du, “Multimode Sensing for Roll-to-Roll Flexible Electronics Print Process Control,” the 18th International Conference on Nanoimprint and Nanoprint Technologies (NNT), October 14-16, 2019, Boston, MA.
(Speaker and paper) Xian Du and Jingyang Yan, “Tension prediction using web moving speed and natural vibration frequency,” TechConnect World Innovation Conference & Expo, AI TechConnect, June 17-19, 2019, Boston, MA.
(Poster) Jingyang Yan, Mehdi Riza, Jonathan Lombardi, Patrick Caviston, Xian Du, “Multimode Sensing for Roll-to-Roll Flexible Electronics Print Process Control,” Nextflex- Scalable Manufacturing Methods for Flexible Hybrid Electronics workshop, October 16, 2018, Amherst, MA.

Honors

NSF CAREER Award (2020)
UMass TIDE Ambassador (2019/2020)

Links

CV:

Du_Xian04142020.pdf

Lab Affiliation:

Intelligent Sensing Lab

Interdisciplinary Interface Engineering Laboratory

Link to lab homepage:

Interdisciplinary Interface Engineering Laboratory

Associated Faculty

Professor Tingyi "Leo" Liu

Interdisciplinary interface engineering, such as：

• Bio-inspired soft robotics; Soft electronics; Medical devices;

• Advanced manufacturing; Heterogeneous integration; Roll-to-roll (R2R) manufacturing;

• Super-repellent surfaces; Superomniphobic surfaces; Superhydrophobic surfaces;

• Liquid-metal-based micro/nano-devices;

• Fundamentals of interfacial phenomena;

• Anti-biofouling surfaces;

• Personalized medicine; Complex systems.

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