Wei Min HUANG
Nanyang Technological University, Singapore
Email: firstname.lastname@example.org, email@example.com
Tel: 0065 84664500
Fax: 0065 67924062
Carlo Massaroni was born in Anzio (Rome) in 1988.
He received the B.S. Degree in Biomedical Engineering from Università Campus Bio-Medico di Roma in December 2010. The Bachelor thesis title was "Perception Analysis of the form by the use of a numerical chessboard" and it was carried out in collaboration with the Bioinformatics Lab of the same University.
He received the M.S. Degree with highest honors in Biomedical Engineering from Università Campus Bio-Medico di Roma in December 2012. His graduation Thesis was entitled "Preliminary validation of a respiratory apparatus simulator for the assessment of metrological characteristics of a optoelectronic plethysmograph".
With his thesis he won two relevant National Price. On September he has been awarded the 2013 SIAMOC Dissertation Prize by the Italian Society of Clinical Movement Analysis (SIAMOC) in recognition of the outstanding quality of his undergraduate research. On October he has been awarded the 2013 GNB Dissertation Price by the Italian National Bioengineering Group (GNB) for outstanding contribute in the field of Rehabilitation and Prosthetics.
From April 2013 to January 2014 he worked as Biomechanical Researcher in the Unit of Rehabilitation at Scientific Institute for Research IRCCS Eugenio Medea of Conegliano (TV), as Scholarship Winner and Assignee for 2013.
He was PhD Student in Biomedical Engineering at Università Campus Bio-Medico di Roma from January 2014 to December 2016: he started working in the Laboratory of Measurements and Biomedical Instrumentation in January 2014, under the supervision of Prof. Sergio Silvestri.
In 2014 he has achieved the Professional Qualification as Industrial Engineer (Section A). He was Jury Aggregate Member as Topic expert in Biomedical Instrumentation during the State Examinations enabling the exercise of the profession of Engineer on behalf of Ordine degli Ingegneri of Rome. Section A - Industrial Section.
From February 2015 is Student Mentor for the International Biomechanics Society (ISB) in Instrumentation for Human Motion, Optoelectronic Systems and Optoelectronic Plethysmography.
On July 2015 he has been awarded the International Grant Travel Program Award by the International Society of Biomechanics (ISB) with the project "MoCBA - MOtion Capture for Breathing Assessment". MoCBA is an interdisciplinary project taking advantage of the research cooperation between the School of Sport & Exercise Sciences (SSES) at the University of Kent (Dr. Dickinson and Dr. Winter) and the School of Engineering, Research Unit of Measurement and Biomedical Instrumentation (UCBM) at the Campus Bio-Medico di Roma University. He is currently (until 22/04/2016) a Visiting PhD Student at University of Kent (Medway Campus, Kent, UK), where he is working in the Respiratory Clinic Unit.
On September 2017 he has been awarded the 2017 GNB Thesis Award by the Italian National Bioengineering Group (GNB) for outstanding contribute in the field of Biorobotics and Biomechanics.
2017 IEEE Sensor Council Travel Award (€ 1000) to attend the 2nd IEEE Sensors Summer
School on Optical Fibre Sensors at the University of Limerick, Ireland. 26th – 30th
June 2017 - Limerick, Ireland.
2016 European Society of Biomechanics (ESB) Travel Award (€ 400) to attend the 22nd
Congress of the European Society of Biomechanics (Respiratory Biomechanics
Session) - Lyon, France.
2015 International Society of Biomechanics (ISB) International Travel Grant (ITG2015) ($
2500) to fund the Research Project “MoCBA: Motion Capture for Breathing
Assessment” and to fund the foreign period of 6 months at University of Kent (UK).
Number of Publications: 43
Berber phonetics, Automatic
Speech processing, Speech disorders Acoustic phonetics, Automatic Speech
Recognition, Speech Synthesis, Artificial Neural NetworksArabic phonetics
Stem cells and Regenerative
Medicine, Tissue Regeneration, Tissue Engineering Stem Cells Biology and
Differentiation, Stem cells biomaterials interaction, Mechanotransduction
Surgical planning and
simulation in esthetical facial surgeryTelemedicine o Biomedical engineering
Cell and tissue engineering
Scaffold Design For Tissue
Engineering, Composites hydrogels For Bone Repair, Electrospinning and
Electrospraying technology, Scanning and Trasmission Electron Microscopy, Image
Analysis For Porosity Measurements, Chemical And Physical Properties
Characterization Of Composite And/Or Polymeric Substrates, Injectable Composite
Cements For Bone Cavity Filling.
Shape memory materials and
composites (bulk and thin film), Laser annealing and micro fabrication, Thin
films (characterization and materials/devices) Micro/nano mechanics, nano
patterning and indentation technology, Surface and optical properties of smart
materials. Advanced and novel materials.
Micro assembly and packaging, active
disassembly. Deployable and bi-stable structures. Materials selection Flight
mechanism in inserts Micro biomedical devices
Dr. Rajasekharredy Pala is a Nano biotechnologist specialized in the synthesis of various metal and metal oxide nanoparticles with their application as drug delivery agents to the primary cilia. After his post-graduation he was selected for ICMR-Senior Research Fellowship under Biomedical Sciences in 2011 and during this period of his doctoral studies at CSIR-Indian Institute of Chemical Technology, India, he has earned handsome experience on the physical and chemical characterizations techniques of nanoparticles that are enveloped with various biologically active compounds such as protein, lipids and small molecular drugs for their biomedical applications. Dr. Pala working as a research associate in Chapman University and University of California Irvine from 2015.
Research Interest: Nanomedicine, Hypertension, Cancer, Renal diseases
Skype ID: raaja.biotech
List of Publications:
Rajasekharreddy Pala, Ashraf M. Mohieldin, Kiumars Shamloo, Rinzhin T. Sherpa, Sarmed H.
Kathem, Jing Zhou, Zhongyue Luan, Jian-Guo Zheng, Amir Ahsan, and Surya M. Nauli.
Personalized Nanotherapy by Specifically Targeting Cell Organelles To Improve Vascular
Hypertension. Nano Letters Article ASAP DOI: 10.1021/acs.nanolett.8b04138
2. Zeng, Y., Zhu, J., Wang, J., Parasuraman, P., Busi, S., Nauli, S. M., Wáng, Y., Pala,
Rajasekharreddy, Liu, G. (2018). Functional probes for cardiovascular molecular
imaging. Quantitative imaging in medicine and surgery, 8(8), 838-852 (co-corresponding
3. Pala, Rajasekharreddy., Jamal, M., Alshammari, Q., Nauli, S.M. The Roles of Primary Cilia in
Cardiovascular Diseases. Cells 2018, 7, 233. (Published as cover page)
4. Rajasekharreddy Pala, Yun Zeng, Subhaswaraj Pattnaik, Siddhardha Busi, Alomari Nedaa,
Nauli Surya M, Gang Liu, (2018). Functionalized Silver Nanoparticles for Sensing, Molecular
Imaging and Therapeutic Applications. Current Nanomedicine, Pages 1 - 17 (17).
5. Pala Rajasekharreddy, Pathipati Usha Rani, Mattapally Saidulu & Sanjay K. Banerjee (2017).
Ultra-small silver nanoparticles induced ROS activated Toll-pathway against Staphylococcus
aureus disease in silkworm model, Materials Science and Engineering: C, 77, 990-1002
6. Pala Rajasekharreddy, Chao Huang, Siddhardha Busi, Jobina Rajkumari, Ming-Hong Tai, Gang
Liu (2017). Green Synthesized Nanomaterials as Theranostic Platforms for Cancer Treatment:
Principles, Challenges and the Road Ahead. Current Medicinal Chemistry, 24, 1-17. Doi.
7. Jobina Rajkumari, Siddhardha Busi, Aneesh Cherukunnel Vasu, Pala Rajasekharreddy (2017),
Facile green synthesis of baicalein fabricated gold nanoparticles and their antibiofilm activity
against Pseudomonas aeruginosa PAO1. Microbial Pathogenesis, 107: 261-269.
8. Rajasekharreddy Pala, Nedaa Alomari, Surya M. Nauli (2017). Primary Cilium-Dependent
Signaling Mechanisms, International Journal of Molecular Sciences, 18, 2272.
9. Kiumars Shamloo, Juan Chen, Jasmine Sardar, Rinzhin T. Sherpa, Rajasekharreddy
Pala, Kimberly F. Atkinson,William J. Pearce, Lubo Zhang, Surya M. Nauli (2017). Chronic
Hypobaric Hypoxia Modulates Primary Cilia Differently in Adult and Fetal Ovine Kidneys.
Frontiers in Physiology, 8: 677.
10. Nauli, Surya M., Rajasekharreddy Pala, and Steven J. Kleene (2016). "Calcium channels in
primary cilia." Current Opinion in Nephrology and Hypertension 25 (5): 452-458.
11. Pala Rajasekharreddy and Pathipati Usha Rani (2014). Biofabrication of Ag nanoparticles using
Sterculia foetida L. seed extract and their toxic potential against mosquito vectors and HeLa
cancer cells. Materials Science and Engineering: C, 39, 203-212.
12. Pala Rajasekharreddy and Pathipati Usha Rani (2014). Biosynthesis and characterization of Pd
and Pt nanoparticles using Piper betle L. plant in a photoreduction method. Journal of Cluster
Science, 25: 1377-1388.
13. Praveen Kumar Kalavagunta, Rajasekharreddy Pala, Usha Rani Pathipati and Narender Ravirala
(2014). Identification of β-Naphthol derivatives as novel antifeedants and insecticides-I. Journal
of Agricultural and Food Chemistry, 62, 6571−6576.
14. Pala Rajasekharreddy and Pathipati Usha Rani (2012) Nontoxic effects of biologically
synthesized silver nanoparticles on silkworm, Bombyx mori L. Hexapoda 19 (1): 74–78.
Pathipati Usha Rani and Pala Rajasekharreddy (2011) Green synthesis of silver-protein (core–
shell) nanoparticles using Piper betle L. leaf extract and its ecotoxicological studies on Daphnia
magna. Colloids and Surfaces A: Physicochemical and Engineering Aspects. 389 (1-3): 188-194.
16. Pathipati Usha Rani, Pala Rajasekharreddy and Kommu Nagaiah (2011). Allelopathic effects of
(2n-octylcycloprop-1-enyl)-octanoic acid (I) against Four Major Weeds. Allelopathy Journal. 28
17. Pala Rajasekharreddy, Pathipati Usha Rani and Bojja Sreedhar (2010). Qualitative assessment of
silver and gold nanoparticle synthesis in various plants: a photobiological approach. Journal of
Nanoparticle Research, 12: 1711-1721.
18. Pala Rajasekharreddy and Pathipati Usha Rani (2010). Toxic properties of certain botanical
extracts against three major stored product pests. Journal of Biopesticides. 3(3): 586-589.
19. Pathipati Usha Rani and Pala Rajasekharreddy (2010). Insecticidal activity of (2n-octylcycloprop-
1-enyl)-octanoic acid (I) against three coleopteran stored product insects from Sterculia foetida
(L.). Journal of Pest Science, 83(3); 273-279.
20. Pathipati Usha Rani and Pala Rajasekharreddy (2009). Toxic and antifeedant activities of Sterculia
foetida (L.) seed crude extract against Spodoptera litura (F.) and Achaea janata (L.). Journal of
Biopesticides 2(2): 161-164.
Pathipati Usha Rani and Pala Rajasekharreddy (2013). Plants: The green factories for synthesis
of nanomaterials” in the book “Nanotechnology Environment” Edited by J.N. Govil. Studium Press
A method for isolation of an Ortho Quinone Methide intermediate. Pala Rajasekharreddy
and K.P Kumar and (PCT/IB2015/057628), WIPO publication no. WO/2016/059511.
• Green synthesis of highly monodispersed silver nanoparticles by plant. P. Usha Rani and Pala
Rajasekharreddy (File No. 4020/DEL/2012).
• Novel synthesis of 2-aminobenzothiazolomethyl naphthol derivatives and their
antifeedant activity. KP Kumar, Pala Rajasekharreddy, V. Narendar & P. Usha Rani (File No
Protein engineering and
protein chemistry, Nanobiotechnology and Protein nanocage, Biomaterials and
Biomedical engineering, Industrial microbiology
Functional Brain Imaging, Pre-surgical
Brain Mapping, Biomedical signal and Image Processing, Neural Engineering
Optofluidics, Surface Wettability, Drug Delivery
Medical Image Analysis and
Processing Computer Simulations of
Nanoscale Systems Communications and
Mobile Computing Bioinformatics and
Computational Biology Computational Neuroscience and Vascular Flow Dynamics Biometrics
and Bio-robotics Computer Aided Diagnosis and Guided Surgerya
fatigue, motor units, innervation zone, anal sphincter, MMG, biofeedback,
cervical kinematics, helical axis
Image / signal processing,
Machine learning, Computer-aided clinical diagnosis and treatment selection
My research focuses on establishing the clinical applicability of two new diagnostic parameters (to detect coronary artery disease) using a set of bench-top experiments, computational analysis, pre-clinical and clinical trials in our research group. These proposed diagnostic parameters based on fluid dynamic principles, pressure drop coefficient and lesion flow coefficient, have the potential to make a real paradigm shift in clinical decision making related to cardiovascular intervention. As part of my research involving pre-clinical and clinical trials I had collaborated with clinicians and scientists at College of Medicine, University of Cincinnati and at Cincinnati Children's Hospital and Medical Center. Preliminary results from these studies have concluded the clinical applicability of these parameters to distinguish between stenoses of various severity.
More recently, at Weill Cornell Medical College, I am working on using 3D printing, machine learning and computational fluid dynamics to predict and prevent coronary artery disease from non-invasive CCTA imaging data.
Research Interest: 3D printing, Computational fluid dynamics, clinical radiology, non-invasive CCTA scanning, machine learning, interventional cardiology, applied mathematics, bio-heat transfer
List of Publications:
1. Al'Aref SJ, Anchouche K, Singh G, Slomka PJ, Kolli KK, Kumar A, Pandey M, Maliakal G, van Rosendael AR, Beecy AN, Berman DS, Leipsic J, Nieman K, Andreini D, Pontone G, Schoepf UJ, Shaw LJ, Chang HJ, Narula J, Bax JJ, Guan Y, Min JK. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2018. Epub 2018/07/31. doi: 10.1093/eurheartj/ehy404. PubMed PMID: 30060039. Available from: https://www.ncbi.nlm.nih.gov/pubmed/30060039.
2. Kolli KK, Min JK. Image-based computational fluid dynamic analysis for surgical planning of sequential grafts in coronary artery bypass grafting. Accepted as Contributed full paper for publication in Conference Proceedings for IEEE Engineering in Medicine and Biology Society Conference. 2018. [Accepted]
3. van Rosendael AR, Maliakal G, Kolli KK, Beecy A, Al'Aref SJ, Dwivedi A, Singh G, Panday M, Kumar A, Ma X, Achenbach S, Al-Mallah MH, Andreini D, Bax JJ, Berman DS, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Chinnaiyan K, Chow BJW, Cury RC, DeLago A, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann PA, Kim YJ, Leipsic JA, Maffei E, Marques H, Pontone G, Raff GL, Rubinshtein R, Shaw LJ, Villines TC, Gransar H, Lu Y, Jones EC, Pena JM, Lin FY, Min JK. Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry. J Cardiovasc Comput Tomogr. 2018;12(3):204-9. Epub 2018/05/14. doi: 10.1016/j.jcct.2018.04.011. PubMed PMID: 29753765. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29753765.
4. Singh G, Al'Aref SJ, Van Assen M, Kim TS, van Rosendael A, Kolli KK, Dwivedi A, Maliakal G, Pandey M, Wang J, Do V, Gummalla M, De Cecco CN, Min JK. Machine learning in cardiac CT: Basic concepts and contemporary data. J Cardiovasc Comput Tomogr. 2018; 12(3):192-201. Epub 2018/05/15. doi: 10.1016/j.jcct.2018.04.010. PubMed PMID: 29754806. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29754806.
5. Beecy AN, Chang Q, Anchouche K, Baskaran L, Elmore K, Kolli KK, Wang H, Al'Aref S, Pena JM, Knight-Greenfield A, Patel P, Sun P, Zhang T, Kamel H, Gupta A, Min JK. A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography. JACC Cardiovascular imaging. 2018. Epub 2018/05/21. doi: 10.1016/j.jcmg.2018.03.012. PubMed PMID: 29778866. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29778866.
6. Peelukhana SV, Banerjee R, van de Hoef TP, Kolli KK, Effat M, Helmy T, Leesar M, Kerr H, Piek JJ, Succop P, Back L, Arif I. Evaluation of lesion flow coefficient for the detection of coronary artery disease in patient groups from two academic medical centers. Cardiovascular Revascularization
Kranthi Kolli 6 10/05/2018Medicine. 2018;19(3 Pt B):348-54. Epub 2017/10/19. doi: 10.1016/j.carrev.2017.08.018. PubMed PMID: 29037762. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29037762.
7. Han D, Starikov A, Xiong G, Hartaigh B, Granser H, Kolli KK, Lee J, Rizvi A, Baskaran L, Schulman-Marcus J, Lin FY, Min JK. Relationship between endothelial wall shear stress and high-risk atherosclerotic plaque characteristic for identification of coronary lesions that cause ischemia: A direct comparison to fractional flow reserve. Journal of the American Heart Association. 2016; 5(12). doi: 10.1161/JAHA.116.004186. PubmMed PMID: 27993831. Available from: https://www.ncbi.nlm.nih.gov/pubmed/27993831
8. Kolli KK, Min JK, Ha S, Soohoo H, Xiong G. Effect of Varying Hemodynamic and Vascular Conditions on Fractional Flow Reserve: An In Vitro Study. Journal of the American Heart Association. 2016;5(7). doi: 10.1161/JAHA.116.003634. PubMed PMID: 27364988. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27364988.
9. Kolli KK, van de Hoef TP, Effat MA, Banerjee RK, Peelukhana SV, Succop P, Leesar MA, Imran A, Piek JJ, Helmy TA. Diagnostic cutoff for pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve: A patient-level analysis. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2016;87(2):273-82. doi: 10.1002/ccd.26063. PubMed PMID: 26424295. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26424295.
10. Peelukhana SV, Effat M, Kolli KK, Arif I, Helmy T, Leesar M, Kerr H, Back LH, Banerjee R. Lesion flow coefficient: a combined anatomical and functional parameter for detection of coronary artery disease--a clinical study. The Journal of invasive cardiology. 2015;27(1):54-64. PubMed PMID: 25589702. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25589702.
11. Peelukhana SV, Banerjee R, Kolli KK, Fernandez-Ulloa M, Arif I, Effat M, Helmy T, Kerr H. Benefit of ECG-gated rest and stress N-13 cardiac PET imaging for quantification of LVEF in ischemic patients. Nuclear medicine communications. 2015;36(10):986-98. doi: 10.1097/MNM.0000000000000352. PubMed PMID: 26225941. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26225941.
12. Peelukhana SV, Kolli KK, Leesar MA, Effat MA, Helmy TA, Arif I, Schneeberger EW, Succop P, Banerjee RK. Effect of myocardial contractility on hemodynamic end points under concomitant microvascular disease in a porcine model. Heart and vessels. 2014;29(1):97-109. doi: 10.1007/s00380-013-0355-9. PubMed PMID: 23624760. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23624760.
13. Peelukhana SV, Kerr H, Kolli KK, Fernandez-Ulloa M, Gerson M, Effat M, Arif I, Helmy T, Banerjee R. Benefit of cardiac N-13 PET CFR for combined anatomical and functional diagnosis of ischemic coronary artery disease: a pilot study. Annals of nuclear medicine. 2014;28(8):746-60. doi: 10.1007/s12149-014-0869-y. PubMed PMID: 24950752. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24950752.
14. Kolli KK, Helmy TA, Peelukhana SV, Arif I, Leesar MA, Back LH, Banerjee RK, Effat MA. Functional diagnosis of coronary stenoses using pressure drop coefficient: a pilot study in humans. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2014;83(3):377-85. doi: 10.1002/ccd.25085. PubMed PMID: 23785016. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23785016.
15. Kolli KK, Effat MA, Peelukhana SV, Succop P, Back LH, Leesar MA, Helmy TA, Imran A, Banerjee RK. Hyperemia-free delineation of epicardial and microvascular impairments using a basal index. Annals of biomedical engineering. 2014;42(8):1681-90. doi: 10.1007/s10439-014-1020-x. PubMed PMID: 24806315. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24806315.
Kranthi Kolli 7 10/05/2018
16. Kolli KK, Arif I, Peelukhana SV, Succop P, Back LH, Helmy TA, Leesar MA, Effat MA, Banerjee RK. Diagnostic performance of pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve. The Journal of invasive cardiology. 2014;26(5):188-95. PubMed PMID: 24791716. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24791716.
17. Kolli KK, Paul AK, Back LH, Effat MA, Banerjee RK. Optimization of balloon obstruction for simulating equivalent pressure drop in physiological stenoses. Biorheology. 2013;50(5-6):257-68. doi: 10.3233/BIR-130640. PubMed PMID: 24398608. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24398608.
18. Peelukhana SV, Banerjee RK, Kolli KK, Effat MA, Helmy TA, Leesar MA, Schneeberger EW, Succop P, Gottliebson W, Irif A. Effect of heart rate on hemodynamic endpoints under concomitant microvascular disease in a porcine model. American journal of physiology Heart and circulatory physiology. 2012;302(8):H1563-73. doi: 10.1152/ajpheart.01042.2011. PubMed PMID: 22287585. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22287585.
19. Kolli KK, Banerjee RK, Peelukhana SV, Effat MA, Leesar MA, Arif I, Schneeberger EW, Succop P, Gottliebson WM, Helmy TA. Effect of changes in contractility on pressure drop coefficient and fractional flow reserve in a porcine model. The Journal of invasive cardiology. 2012;24(1):6-12. PubMed PMID: 22210582. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22210582.
20. Rajabi-Jaghargh E, Kolli KK, Back LH, Banerjee RK. Effect of guidewire on contribution of loss due to momentum change and viscous loss to the translesional pressure drop across coronary artery stenosis: an analytical approach. Biomedical engineering online. 2011;10:51. doi: 10.1186/1475-925X-10-51. PubMed PMID: 21658283; PMCID: 3141581. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21658283.
21. Kolli KK, Banerjee RK, Peelukhana SV, Helmy TA, Leesar MA, Arif I, Schneeberger EW, Hand D, Succop P, Gottliebson WM, Effat MA. Influence of heart rate on fractional flow reserve, pressure drop coefficient, and lesion flow coefficient for epicardial coronary stenosis in a porcine model. American journal of physiology Heart and circulatory physiology. 2011;300(1):H382-7. doi: 10.1152/ajpheart.00412.2010. PubMed PMID: 20935151. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20935151.
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