Nikhil Agrawal

@iiitn.ac.in

Assistant Professor, Dept. of Electronics and Communication Engineering
Indian Institute of Information Technology Nagpur

Nikhil Agrawal


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https://researchid.co/nagrawal

EDUCATION

M. Tech. and Ph.D. from PDPM IIITDM Jabalpur

RESEARCH INTERESTS

Signal Prcessing
56

Scopus Publications

359

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Recurrence of membranous nephropathy after kidney transplantation: A multicenter retrospective cohort study
    Frank Hullekes, Audrey Uffing, Rucháma Verhoeff, Harald Seeger, Seraina von Moos, Juliana Mansur, Gianna Mastroianni-Kirsztajn, Helio Tedesco Silva, Anna Buxeda, María José Pérez-Sáez, Carlos Arias-Cabrales, A. Bernard Collins, Christie Swett, Leela Morená, Marina Loucaidou, Andreas Kousios, Paolo Malvezzi, Mathilde Bugnazet, Luis Sanchez Russo, Saif A. Muhsin, Nikhil Agrawal, Pitchaphon Nissaisorakarn, Het Patel, Ayman Al Jurdi, Enver Akalin, Elias David Neto, Fabiana Agena, Carlucci Ventura, Roberto C. Manfro, Andrea Carla Bauer, Marilda Mazzali, Marcos Vinicius de Sousa, Gaetano La Manna, Claudia Bini, Giorgia Comai, Roman Reindl-Schwaighofer, Stefan Berger, Paolo Cravedi, Leonardo V. Riella
    American Journal of Transplantation, 2024
    Membranous nephropathy (MN) is a leading cause of kidney failure worldwide and frequently recurs after transplant. Available data originated from small retrospective cohort studies or registry analyses; therefore, uncertainties remain on risk factors for MN recurrence and response to therapy. Within the Post-Transplant Glomerular Disease Consortium, we conducted a retrospective multicenter cohort study examining the MN recurrence rate, risk factors, and response to treatment. This study screened 22,921 patients across 3 continents and included 194 patients who underwent a kidney transplant due to biopsy-proven MN. The cumulative incidence of MN recurrence was 31% at 10 years posttransplant. Patients with a faster progression toward end-stage kidney disease were at higher risk of developing recurrent MN (hazard ratio [HR], 0.55 per decade; 95% confidence interval [CI], 0.35-0.88). Moreover, elevated pretransplant levels of anti-phospholipase A2 receptor (PLA2R) antibodies were strongly associated with recurrence (HR, 18.58; 95% CI, 5.37-64.27). Patients receiving rituximab for MN recurrence had a higher likelihood of achieving remission than patients receiving renin-angiotensin-aldosterone system inhibition alone. In sum, MN recurs in one-third of patients posttransplant, and measurement of serum anti-PLA2R antibody levels shortly before transplant could aid in risk-stratifying patients for MN recurrence. Moreover, patients receiving rituximab had a higher rate of treatment response.
  • Lamivudine-Associated Lactic Acidosis
    Venu Madhav Konala, Sreedhar Adapa, Kumar P. Dinesh, Nikhil Agrawal, Srikanth Naramala, Hemant Dhingra, Wilbert S. Aronow
    American Journal of Therapeutics, 2022
    Konala, Venu Madhav MD; Adapa, Sreedhar MD; Dinesh, Kumar P. MD; Agrawal, Nikhil MD; Naramala, Srikanth MD; Dhingra, Hemant MD; Aronow, Wilbert S. MD Author Information
  • Myocardial Dysfunction in Patients with Cancer
    Efstratios Koutroumpakis, Nikhil Agrawal, Nicolas L. Palaskas, Jun-ichi Abe, Cezar Iliescu, Syed Wamique Yusuf, Anita Deswal
    Heart Failure Clinics, 2022
  • In Reply to “Letter Regarding ‘Cardiac Outcomes in Isolated Heart and Simultaneous Kidney and Heart Transplants in the United States’”
    Krishna Agarwal, Het Patel, Nikhil Agrawal, Francesca Cardarelli, Nitender Goyal
    Kidney International Reports, 2022
    We thank Dr. Okumura et al. for their interest in our study on outcomes in simultaneous kidney and heart transplants in the United States.1Agarwal K. Patel H. Agrawal N. Cardarelli F. Goyal N. Cardiac outcomes in isolated heart and simultaneous kidney and heart transplants in the United States.Kidney Int Rep. 2021; 6: 2348-2357https://doi.org/10.1016/j.ekir.2021.06.032Abstract Full Text Full Text PDF PubMed Scopus (2) Google Scholar We appreciate the suggestions on alternate statistical methods and will keep them in mind for future work. On the basis of our current analysis, we found a survival advantage of simultaneous kidney-heart transplants over heart transplant alone in the subgroup of patients who were on dialysis and those not on dialysis with an estimated glomerular filtration rate < 45 ml/min. This effect was found for the entire cohort of recipients from October 1, 1987, to September 30, 2019, as opposed to the authors’ limited cohort (recipients between 2015 and 2020). Our results are also consistent with previous studies by Karamlou et al.2Karamlou T. Welke K.F. McMullan D.M. et al.Combined heart-kidney transplant improves post-transplant survival compared with isolated heart transplant in recipients with reduced glomerular filtration rate: analysis of 593 combined heart-kidney transplants from the United Network Organ Sharing Database.J Thorac Cardiovasc Surg. 2014; 147: 456-461.e1https://doi.org/10.1016/j.jtcvs.2013.09.017Abstract Full Text Full Text PDF PubMed Scopus (67) Google Scholar and Habib et al.3Habib P. Patel P. Hodge D. et al.Pre-orthotopic heart transplant estimated glomerular filtration rate predicts post-transplant mortality and renal outcomes: an analysis of the UNOS database.J Heart Lung Transplant. 2016; 35: 1471-1479https://doi.org/10.1016/j.healun.2016.05.028Abstract Full Text Full Text PDF PubMed Scopus (23) Google Scholar Furthermore, when we stratified our cohort according to eras, 1987 to 2007 and 2008 to 2019, we did find a significant improvement in the overall patient and graft survival of heart transplant alone recipients. This is consistent with recently published 30-year trends in heart transplantation.4Sabatino M.E. Williams M.L. Okwuosa I.S. et al.30-Year trends in graft survival after heart transplant: modeled analyses of a transplant registry. Ann Thorac Surg.https://doi.org/10.1016/j.athoracsur.2021.08.023Google Scholar The simultaneous kidney-heart transplant recipients did not have similar improvement between eras (Supplementary Figures 1 and 2).1Agarwal K. Patel H. Agrawal N. Cardarelli F. Goyal N. Cardiac outcomes in isolated heart and simultaneous kidney and heart transplants in the United States.Kidney Int Rep. 2021; 6: 2348-2357https://doi.org/10.1016/j.ekir.2021.06.032Abstract Full Text Full Text PDF PubMed Scopus (2) Google Scholar Therefore, the improved survival of heart transplant alone recipients as noted by the authors could be because of a limited cohort in 2015 to 2020, limited follow-up on patients transplanted during this recent period, and overall national improvement in heart transplant outcomes. We agree with the authors on the need for further analysis, including further substratification based on the year of transplant and donor/recipient characteristics. This will add to the current literature. All the authors declared no competing interests. Letter Regarding “Cardiac Outcomes in Isolated Heart and Simultaneous Kidney and Heart Transplants in the United States”Kidney International ReportsVol. 7Issue 1PreviewWe read the article by Agarwal et al.,1 in which they used the United Network for Organ Sharing database to reveal that cardiac outcomes in simultaneous kidney-heart transplants (SKHTs) recipients are better when compared with those in heart transplantation-alone recipients. The authors suggest that SKHT offered a significant long-term survival advantage and better cardiac graft outcomes for patients who were on pretransplant dialysis or had an estimated glomerular filtration rate <45 ml/min per 1.73 m2. Full-Text PDF Open AccessCardiac Outcomes in Isolated Heart and Simultaneous Kidney and Heart Transplants in the United StatesKidney International ReportsVol. 6Issue 9PreviewKidney dysfunction is not uncommon in patients with advanced heart failure. Simultaneous kidney and heart transplants (SKHTs) have gained acceptance as a treatment for patients with end-stage heart failure and severe kidney dysfunction. United States saw a rise of 650% in SKHT from 2000 to 2019. Despite increasing number of SKHT, the selection criteria remain poorly defined and vary across transplant centers. Full-Text PDF Open Access
  • Analysis of Canada’s water use: tracing water flow from source to end use
    Nikhil Agrawal, Thomas Patrick, Matthew Davis, Md Ahiduzzaman, Amit Kumar
    Canadian Water Resources Journal, 2022
    Freshwater is a critical natural resource and fundamental to social and environmental activities, including industrial activities, food production, and residential needs. Hence, it is important to understand provincial water supply and demand. However, there are large gaps in provincial and sectoral water use data. This study provides estimates for disaggregated water use by regional subsectors and uses Sankey diagrams to depict the water flow from intake to consumption and discharge. The study uses a bottom-up method in the oil and gas and hydropower sectors and top-down methods in the residential, commercial and institutional, manufacturing, mining, agricultural, and power sectors. Surface and ground water are considered separately. Water use in the year 2017 was analyzed for British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Quebec, the Atlantic Provinces, and the Territories. Water-use intensities were also calculated by region and sector. A total of 40 billion m3 of water use is traced from source to either discharge or consumption. New disaggregated data is developed provincially and by sector for oil and gas, mining, and power generation. Water use in the oil and gas sector was disaggregated into 5 subsectors, with oil sands surface mining in Alberta as the largest consumer with 138 million m3 of water consumed. Hydro power was estimated to consume the most water out of all sectors, with 3393 million m3 of water consumed. Alberta was also found to have the largest consumptive water use per capita. The results provide important insights on water supply and demand in Canada. Such information supports both regional and federal governments in formulating appropriate regional and sectoral policies and can support water managers and the public in understanding water supply and demand in Canada. Modelling efforts requiring regional and sectoral water use can also use these results. Supplemental data for this article is available online at http://dx.doi.org/.
  • Weighted Least Square Design Technique for Hilbert Transformer using Fractional Derivative
    Nikhil Agrawal, Anil Kumar, B. Kuldeep, S. Lee, H. N. Lee
    Signal Image and Video Processing, 2021
  • Review of Outcomes after Diagnosis of Malignancy in Kidney Transplant Patients: UNOS Database
    Het Patel, Nikhil Agrawal, Voravech Nissaisorakarn, Ridhi Gupta, Francesca Cardarelli
    Transplantology, 2021
    Malignancy is the third major cause of death among transplant recipients. Patient and kidney transplant outcomes after the diagnosis of malignancy are not well described. We reviewed incidences and outcomes of colorectal, lung, PTLD, and renal malignancy after transplant among patients who received a transplant from January 2000 to December 2018 using the UNOS/OPTN database. Incidence of each malignancy was measured at 5 years and 10 years of transplant. The Kaplan–Meier curve was used for time-to-event analysis (graft and patient outcomes). Additionally, we sought to identify the causes of graft failure among these recipients. We found that 12,764 (5.5%) patients suffered malignancy, excluding squamous and basal cell skin carcinoma after transplant. During the first 5 years of transplant, incidence of colorectal, lung, PTLD, and renal malignancies was 2.99, 9.21, 15.61, and 8.55 per 10,000 person-years, respectively. Rates of graft failure were 10.3%, 7.6%, 19.9%, and 18.8%, respectively, among these patients at 5 years. Mortality rate was highest among patients who suffered lung malignancy (84%), followed by colorectal (61.5%), PTLD (49.1%), and renal (35.5%) at 5 years after diagnosis of malignancy. In conclusion, kidney transplant recipients diagnosed with lung malignancy have the lowest graft survival, compared to PTLD, colorectal, and renal malignancy. PTLD has the highest incidence rate in the first 5 years of transplant.
  • Cardiac Outcomes in Isolated Heart and Simultaneous Kidney and Heart Transplants in the United States
    Krishna Adit Agarwal, Het Patel, Nikhil Agrawal, Francesca Cardarelli, Nitender Goyal
    Kidney International Reports, 2021
    INTRODUCTION: Kidney dysfunction is not uncommon in patients with advanced heart failure. Simultaneous kidney and heart transplants (SKHTs) have gained acceptance as a treatment for patients with end-stage heart failure and severe kidney dysfunction. United States saw a rise of 650% in SKHT from 2000 to 2019. Despite increasing number of SKHT, the selection criteria remain poorly defined and vary across transplant centers. METHODS: We evaluated patient and cardiac allograft survival for SKHT and heart transplant alone (HTA) using the United Network for Organ Sharing (UNOS) database. We then performed a subgroup analysis in recipients with post-transplant acute kidney injury requiring renal replacement therapy (RRT) and compared outcomes between SKHT and HTA recipients. RESULTS: Although patient survival was comparable between SKHT and HTA groups (12.4 vs. 11.3 years), patients dependent on dialysis pretransplant derived greater survival advantage from SKHT as compared with HTA (12.4 vs. 9.9 years). Cardiac graft survival was better in SKHT (12.5 vs. 11.2 years). Among patients who developed acute kidney injury requiring RRT postoperatively, SKHT recipients had a significantly better survival (11.9 vs. 2.7 years). CONCLUSION: Our data support consideration of SKHT in dialysis-dependent heart transplant candidates and suggest that patients who are at increased risk of requiring RRT after heart transplant may benefit from SKHT.
  • Incidence and risk factors of kidney allograft loss due to BK nephropathy in the pediatric population: A retrospective analysis of the UNOS/OPTN database
    Het Patel, Nancy Rodig, Nikhil Agrawal, Francesca Cardarelli
    Pediatric Transplantation, 2021
    BackgroundBK virus infection can lead to graft dysfunction and loss in kidney transplant recipients. Risk factors for BKV and BKVN have been inadequately studied in children. Here, we evaluate the incidence and risk factors of allograft loss due to BKVN in the pediatric population of the UNOS data set.MethodsWe conducted a retrospective cohort analysis of the UNOS database and identified all pediatric recipients of kidney transplantation between 2000 and 2018. We compared donor and recipient characteristics, including cause of ESRD, among patients who lost their graft due to BKVN or other causes, and those with functioning allograft. Kaplan–Meier curve and Cox regression analysis were performed to evaluate the risk factors.ResultsA total of 66 patients (0.47%) suffered graft failure from BKVN. Older age, male gender, HLA mismatch, and rejection at 1 year were significantly associated with BKVN graft failure, compared to recipients with functioning allograft. In comparison with graft loss due to other causes, male gender, higher HLA mismatch, rejection in 1st year and tacrolimus use at discharge were significantly associated with BKVN graft loss. Recipients who received mycophenolate at time of discharge were at reduced risk for BKVN graft failure. Compared to graft failure from other causes, BKVN graft failure had shorter death censored graft survival [P = .001]. ESRD due to urologic causes and Alport syndrome had higher rate of BKVN graft failure.ConclusionIncidence of graft loss from BKVN in the pediatric population was 10.2 per 10 000 patient‐years in this study. BKVN is associated with early allograft failure in the pediatric population, compared to other causes of graft loss. Male gender, HLA mismatch, rejection in 1st year, and urological cause of ESRD are risk factors for graft failure from BKVN in children.
  • Recurrence of iga nephropathy after kidney transplantation in adults
    Audrey Uffing, Maria José Pérez-Saéz, Thomas Jouve, Mathilde Bugnazet, Paolo Malvezzi, Saif A. Muhsin, Marie-Camille Lafargue, Roman Reindl-Schwaighofer, Alina Morlock, Rainer Oberbauer, Anna Buxeda, Carla Burballa, Julio Pascual, Seraina von Moos, Harald Seeger, Gaetano La Manna, Giorgia Comai, Claudia Bini, Luis Sanchez Russo, Samira Farouk, Pitchaphon Nissaisorakarn, Het Patel, Nikhil Agrawal, Gianna Mastroianni-Kirsztajn, Juliana Mansur, Hélio Tedesco-Silva, Carlucci Gualberto Ventura, Fabiana Agena, Elias David-Neto, Enver Akalin, Omar Alani, Marilda Mazzali, Roberto Ceratti Manfro, Andrea Carla Bauer, Aileen X. Wang, Xingxing S. Cheng, Jesse D. Schold, Stefan P. Berger, Paolo Cravedi, Leonardo V. Riella
    Clinical Journal of the American Society of Nephrology, 2021
    Background and objectivesIn patients with kidney failure due to IgA nephropathy, IgA deposits can recur in a subsequent kidney transplant. The incidence, effect, and risk factors of IgA nephropathy recurrence is unclear, because most studies have been single center and sample sizes are relatively small.Design, setting, participants, &amp; measurementsWe performed a multicenter, international, retrospective study to determine the incidence, risk factors, and treatment response of recurrent IgA nephropathy after kidney transplantation. Data were collected from all consecutive patients with biopsy-proven IgA nephropathy transplanted between 2005 and 2015, across 16 “The Post-Transplant Glomerular Disease” study centers in Europe, North America, and South America.ResultsOut of 504 transplant recipients with IgA nephropathy, recurrent IgA deposits were identified by kidney biopsy in 82 patients; cumulative incidence of recurrence was 23% at 15 years (95% confidence interval, 14 to 34). Multivariable Cox regression revealed a higher risk for recurrence of IgA deposits in patients with a pre-emptive kidney transplant (hazard ratio, 3.45; 95% confidence interval, 1.31 to 9.17) and in patients with preformed donor-specific antibodies (hazard ratio, 2.59; 95% confidence interval, 1.09 to 6.19). After kidney transplantation, development of de novo donor-specific antibodies was associated with subsequent higher risk of recurrence of IgA nephropathy (hazard ratio, 6.65; 95% confidence interval, 3.33 to 13.27). Immunosuppressive regimen was not associated with recurrent IgA nephropathy in multivariable analysis, including steroid use. Graft loss was higher in patients with recurrence of IgA nephropathy compared with patients without (hazard ratio, 3.69; 95% confidence interval, 2.04 to 6.66), resulting in 32% (95% confidence interval, 50 to 82) graft loss at 8 years after diagnosis of recurrence.ConclusionsIn our international cohort, cumulative risk of IgA nephropathy recurrence increased after transplant and was associated with a 3.7-fold greater risk of graft loss.
  • Treatment of Multiple Myeloma with Daratumumab in a Kidney Transplant Patient
    Danwen Yang, Nikhil Agrawal, Chelsea Marcus, Neil Roy, Katelyn R. Richards, Myrna R. Nahas, Francesca Cardarelli
    American Journal of Therapeutics, 2021
  • Clinical characteristics, time course, treatment and outcomes of patients with immune checkpoint inhibitor-associated myocarditis
    Igor Puzanov, Poornima Subramanian, Yan V Yatsynovich, David M Jacobs, Maya R Chilbert, Umesh C Sharma, Fumito Ito, Steven G Feuerstein, Filip Stefanovic, Benjamin Switzer, Mark D Hicar, Anne B Curtis, Edward J Spangenthal, Grace K Dy, Marc S Ernstoff, Pankit Vachhani, Brian J Page, Nikhil Agrawal, Arjun Khunger, Ankita Kapoor, Alexander Hattoum, Jerome J Schentag
    Journal for Immunotherapy of Cancer, 2021
  • Circulating endothelial cells as predictor of long-term mortality and adverse cardiovascular outcomes in hemodialysis patients
    Rajesh Mohandas, Yanpeng Diao, Gajapathiraju Chamarthi, Suraj Krishnan, Nikhil Agrawal, Xuerong Wen, Bhagwan Dass, Ashutosh M. Shukla, Saraswathi Gopal, Mehmet Koç, Mark S. Segal
    Seminars in Dialysis, 2021
  • Adverse clinical outcomes in patients undergoing both PCI and TAVR: Analysis from a pooled multi-center registry
    Arnav Kumar, Yasser Sammour, Shawn Reginauld, Kimi Sato, Nikhil Agrawal, Joo Myung Lee, Chandramohan Meenakshisundaram, Thammi Ramanan, Norihiko Kamioka, Abhishek C. Sawant, Divyanshu Mohananey, Patrick T Gleason, Chandan Devireddy, Amar Krishnaswamy, Kreton Mavromatis, Kendra Grubb, Lars G. Svensson, E. Murat Tuzcu, Peter C Block, Vijay Iyer, Vasilis Babaliaros, Samir Kapadia, Habib Samady
    Catheterization and Cardiovascular Interventions, 2021
  • Design of digital IIR filter: A research survey
    N. Agrawal, A. Kumar, V. Bajaj, G. Singh
    Applied Acoustics, 2021
  • Minor Component Analysis Based Design of Low Pass and BandPass FIR Digital Filter Using Particle Swarm Optimization and Fractional Derivative
    Kuldeep Baderia, A. Kumar, Nikhil Agrawal, Ranjeet Kumar
    Proceedings 2021 International Conference on Control Automation Power and Signal Processing Caps 2021, 2021
  • Golimumab-Associated Glomerulonephritis
    Nikhil Agrawal, Neil Roy, Srikanth Naramala, Venu Madhav Konala, Sreedhar Adapa, Hemant Dhingra, Wilbert S. Aronow
    American Journal of Therapeutics, 2021
  • Design of Infinite Impulse Response Filter Using Fractional Derivative Constraints and Hybrid Particle Swarm Optimization
    N. Agrawal, A. Kumar, Varun Bajaj
    Circuits Systems and Signal Processing, 2020
  • COVID-19 and kidney transplantation: Results from the TANGO International Transplant Consortium
    Paolo Cravedi, Suraj S. Mothi, Yorg Azzi, Meredith Haverly, Samira S. Farouk, María J. Pérez-Sáez, Maria D. Redondo-Pachón, Barbara Murphy, Sander Florman, Laura G. Cyrino, Monica Grafals, Sandheep Venkataraman, Xingxing S. Cheng, Aileen X. Wang, Gianluigi Zaza, Andrea Ranghino, Lucrezia Furian, Joaquin Manrique, Umberto Maggiore, Ilaria Gandolfini, Nikhil Agrawal, Het Patel, Enver Akalin, Leonardo V. Riella
    American Journal of Transplantation, 2020
  • Kidney allograft dysfunction due to ipsilateral thigh arteriovenous graft
    Nikhil Agrawal, Neetika Garg, Sreedhar Adapa, Francesca Cardarelli
    Journal of Vascular Access, 2020
  • New Insights into Mechanisms of Immune Checkpoint Inhibitor-Induced Cardiovascular Toxicity
    Arjun Khunger, Lucas Battel, Ashna Wadhawan, Aditi More, Ankita Kapoor, Nikhil Agrawal
    Current Oncology Reports, 2020
  • Hilbert Transform Design Based on Fractional Derivatives and Swarm Optimization
    Anil Kumar, Nikhil Agrawal, Ila Sharma, Seungchan Lee, Heung-No Lee
    IEEE Transactions on Cybernetics, 2020
  • A new design approach for nearly linear phase stable IIR filter using fractional derivative
    Nikhil Agrawal, Anil Kumar, Varun Bajaj
    IEEE Caa Journal of Automatica Sinica, 2020
  • Recurrence of FSGS after kidney transplantation in adults
    Audrey Uffing, Maria José Pérez-Sáez, Marilda Mazzali, Roberto C. Manfro, Andrea Carla Bauer, Frederico de Sottomaior Drumond, Michelle M. O’Shaughnessy, Xingxing S. Cheng, Kuo-Kai Chin, Carlucci G. Ventura, Fabiana Agena, Elias David-Neto, Juliana B. Mansur, Gianna Mastroianni Kirsztajn, Helio Tedesco-Silva, Gilberto M.V. Neto, Carlos Arias-Cabrales, Anna Buxeda, Mathilde Bugnazet, Thomas Jouve, Paolo Malvezzi, Enver Akalin, Omar Alani, Nikhil Agrawal, Gaetano La Manna, Giorgia Comai, Claudia Bini, Saif A. Muhsin, Miguel Carlos Riella, Silvia R. Hokazono, Samira S. Farouk, Meredith Haverly, Suraj Sarvode Mothi, Stefan P. Berger, Paolo Cravedi, Leonardo V. Riella
    Clinical Journal of the American Society of Nephrology, 2020
  • Design of Finite Impulse Response Filter with Controlled Ripple Using Cuckoo Search Algorithm
    Anil Kumar, N. Agrawal, I. Sharma
    Advances in Intelligent Systems and Computing, 2020
  • Caring for the patient with a failing allograft: Challenges and opportunities
    Nikhil Agrawal, Martha Pavlakis
    Current Opinion in Organ Transplantation, 2019
  • Inter- and intraoperator variability in measurement of on-site ct-derived fractional flow reserve based on structural and fluid analysis: A comprehensive analysis
    Kanako K. Kumamaru, Erin Angel, Kelsey N. Sommer, Vijay Iyer, Michael F. Wilson, Nikhil Agrawal, Aishwarya Bhardwaj, Sharma B. Kattel, Sandra Kondziela, Saurabh Malhotra, Christopher Manion, Katherine Pogorzelski, Tharmathai Ramanan, Abhishek C. Sawant, Mary M. Suplicki, Sameer Waheed, Shinichiro Fujimoto, Umesh C. Sharma, Frank J. Rybicki, Ciprian N. Ionita
    Radiology Cardiothoracic Imaging, 2019
  • Clinical outcomes after transcatheter aortic valve replacement in cancer survivors treated with ionizing radiation
    Nikhil Agrawal, Sharma Kattel, Sameer Waheed, Ankita Kapoor, Vasvi Singh, Ashutosh Sharma, Brian J. Page, Kristopher M. Attwood, Vijay Iyer, Saraswati Pokharel, Umesh C. Sharma
    Cardio Oncology, 2019
  • A New Method for Designing of Stable Digital IIR Filter Using Hybrid Method
    N. Agrawal, A. Kumar, Varun Bajaj
    Circuits Systems and Signal Processing, 2019
  • Design of Bandpass and Bandstop Infinite Impulse Response Filters Using Fractional Derivative
    Nikhil Agrawal, Anil Kumar, Varun Bajaj, G. K. Singh
    IEEE Transactions on Industrial Electronics, 2019
  • Misdiagnosis of ileocecal tuberculosis—diagnostic dilemma with Crohn’s disease
    Venu Madhav Konala, Sreedhar Adapa, Nikhil Agrawal, Srikanth Naramala, Hemant Dhingra, Wilbert S. Aronow
    Ame Medical Journal, 2019
  • Cystine Stones
    Nikhil Agrawal, Kambiz Zandi-Nejad
    Nutrition and Health United Kingdom, 2019
  • The utility of trough mycophenolic acid levels for the management of lupus nephritis
    Negiin Pourafshar, Ashkan Karimi, Xuerong Wen, Eric Sobel, Shirin Pourafshar, Nikhil Agrawal, Emma Segal, Rajesh Mohandas, Mark S Segal
    Nephrology Dialysis Transplantation, 2019
  • Cardiac Toxicity Associated with Immune Checkpoint Inhibitors: Case Series and Review of the Literature
    Nikhil Agrawal, Arjun Khunger, Pankit Vachhani, Teresa A. Colvin, Alexander Hattoum, Edward Spangenthal, Anne B. Curtis, Grace K. Dy, Marc S. Ernstoff, Igor Puzanov
    Case Reports in Oncology, 2019
  • Adder Efficient Multiplierless Non-Uniform Filterbank Design Using Hybrid Algorithm
    I. Sharma, N. Agrawal, A. Kumar, L. Balyan
    Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing Iccsp 2018, 2018
  • Design of Multiplierless Digital IIR Filter Using Modified Cuckoo Search Algorithm
    S. Ansari, G. Kishor, P. K. Verma, N. Agrawal, I. Sharma, A. Kumar
    Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing Iccsp 2018, 2018
  • Quality of life outcomes in transcatheter aortic valve replacement patients requiring pacemaker implantation
    Aishwarya Bhardwaj, Tharmathai Ramanan, Abhishek C. Sawant, Everett Sinibaldi, Michael Pham, Sahoor Khan, Reema Qureshi, Nikhil Agrawal, Charl Khalil, Rosemary Hansen, Shannon Baldo, Gerald Colern, John Corbelli, Ashish Pershad, Hiroko Beck, Vijay Iyer
    Journal of Arrhythmia, 2018
  • Phase Optimization based Design of Infinite Impulse Response Filter using Fractional Derivative
    N. Agrawal, A. Kumar, Varun Bajaj
    International Conference on Digital Signal Processing DSP, 2018
  • Design of digital IIR filter with low quantization error using hybrid optimization technique
    N. Agrawal, A. Kumar, V. Bajaj
    Soft Computing, 2018
  • The development of an integrated model for the assessment of water and GHG footprints for the power generation sector
    N. Agrawal, Ahiduzzaman, Amit Kumar
    Applied Energy, 2018
  • Endoscopic ultrasound-guided gallbladder drainage using a lumen-apposing metal stent for acute cholecystitis: A systematic review
    Deepanshu Jain, Bharat Singh Bhandari, Nikhil Agrawal, Shashideep Singhal
    Clinical Endoscopy, 2018
  • Labetalol or Amphetamine: A Case of Mistaken Identity with Clinical Consequence
    Nikhil Agrawal, Nishita Tripathi, Neil Roy, Sreedhar Adapa, Venu Madhav Konala, Hemant Dhingra, Wilbert S. Aronow
    American Journal of Therapeutics, 2018
  • The role of a best practice alert in the electronic medical record in reducing repetitive lab tests
    Harini Bejjanki, Lazarus Mramba, Stacy Beal, Nila Radhakrishnan, Rohit Bishnoi, Chintan Shah, Nikhil Agrawal, Neil Harris, Robert Leverence, Kenneth Rand
    Clinicoeconomics and Outcomes Research, 2018
  • A New Design Method for Stable IIR Filters with Nearly Linear-Phase Response Based on Fractional Derivative and Swarm Intelligence
    Nikhil Agrawal, Anil Kumar, Varun Bajaj
    IEEE Transactions on Emerging Topics in Computational Intelligence, 2017
  • High order stable infinite impulse response filter design using cuckoo search algorithm
    N. Agrawal, A. Kumar, V. Bajaj, G. K. Singh
    International Journal of Automation and Computing, 2017
  • Trends and outcomes of infective endocarditis in patients on dialysis
    Nirmanmoh Bhatia, Sahil Agrawal, Aakash Garg, Divyanshu Mohananey, Abhishek Sharma, Manyoo Agarwal, Lohit Garg, Nikhil Agrawal, Amitoj Singh, Sudip Nanda, Jamshid Shirani
    Clinical Cardiology, 2017
  • Digital IIR filter design with controlled ripple using cuckoo search algorithm
    N. Agrawal, A. Kumar, Varun Bajaj
    2016 International Conference on Signal and Information Processing Iconsip 2016, 2017
  • Defining the role of ultrafiltration therapy in acute heart failure: a systematic review and meta-analysis
    Ankur Jain, Nikhil Agrawal, Amir Kazory
    Heart Failure Reviews, 2016
  • Controlled ripple based design of digital IIR filter
    N. Agrawal, A. Kumar, Varun Bajaj, H.-N. Lee
    International Conference on Digital Signal Processing DSP, 2016
  • Optimized design of digital IIR filter using artificial bee colony algorithm
    N. Agrawal, Abhishek Kumar, V. Bajaj
    Proceedings of 2015 International Conference on Signal Processing Computing and Control Ispcc 2015, 2016
  • Syncope: Approaches to Diagnosis and Management
    Chandrasekar Palaniswamy, Wilbert S. Aronow, Nikhil Agrawal, Nivas Balasubramaniyam, Umashankar Lakshmanadoss
    American Journal of Therapeutics, 2016
  • Hybrid method based optimized design of digital IIR filter
    N. Agrawal, A. Kumar, V. Bajaj
    2015 International Conference on Communication and Signal Processing Iccsp 2015, 2015
  • Heart Failure and Chronic Kidney Disease: Should We Use Spironolactone?
    Sahil Agrawal, Nikhil Agrawal, Jalaj Garg, Tanush Gupta, Rajesh Mohandas, Mark Segal
    American Journal of the Medical Sciences, 2015
  • The forgotten disease: Bilateral lemierre's disease with mycotic aneurysm of the vertebral artery
    Lawrence DeLorenzo
    American Journal of Case Reports, 2014
  • Syncope: Prevention, recognition, and treatment
    Comas and Syncope Causes Prevention and Treatment, 2012
  • Amiodarone induced pulmonary toxicity: An unusual response to steroids
    Jalaj Garg, Nikhil Agrawal, Abhishek Marballi, Sahil Agrawal, Naveen Rawat, Sachin Sule, Stuart G. Lehrman
    American Journal of Case Reports, 2012

RECENT SCHOLAR PUBLICATIONS

  • Weighted least square design technique for hilbert transformer using fractional derivative
    N Agrawal, A Kumar, B Kuldeep, S Lee, HN Lee
    Signal, Image and Video Processing 15 (7), 1461-1468 , 2021
    2021.0
    Citations: 5
  • Design of digital IIR filter: A research survey
    N Agrawal, A Kumar, V Bajaj, GK Singh
    Applied Acoustics 172, 107669 , 2021
    2021.0
    Citations: 95
  • Design of infinite impulse response filter using fractional derivative constraints and hybrid particle swarm optimization
    N Agrawal, A Kumar, V Bajaj
    Circuits, Systems, and Signal Processing 39 (12), 6162-6190 , 2020
    2020.0
    Citations: 23
  • Phase Optimization based Design of Infinite Impulse Response Filter using Fractional Derivative
    N Agrawal, A Kumar, V Bajaj
    IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5 , 2019
    2019.0
    Citations: 1
  • Hilbert Transform Design based on Fractional Derivatives and Swarm Optimization
    A Kumar, N Agrawal, I Sharma, S Lee, HN Lee
    IEEE Transactions on Cybernetics , 2018
    2018.0
    Citations: 21
  • Design of Bandpass and Bandstop Infinite Impulse Response Filters using Fractional Derivative
    N Agrawal, A Kumar, V Bajaj, GK Singh
    IEEE Transactions on Industrial Electronics 66 (2), 1285 - 1295 , 2018
    2018.0
    Citations: 47
  • Adder Efficient Multiplierless Non-Uniform Filterbank Design Using Hybrid Algorithm
    I Sharma, N Agrawal, A Kumar, LK Balyan
    2018 International Conference on Communication and Signal Processing (ICCSP … , 2018
    2018.0
    Citations: 1
  • Design of multiplierless digital IIR filter using modified cuckoo search algorithm
    S Ansari, G Kishor, PK Verma, N Agrawal, I Sharma, A Kumar
    2018 International Conference on Communication and Signal Processing (ICCSP … , 2018
    2018.0
    Citations: 3
  • A New Method for Designing of Stable Digital IIR Filter using Hybrid Method
    N Agrawal, A Kumar, V Bajaj
    Circuits, Systems, and Signal Processing , 2018
    2018.0
    Citations: 31
  • Design of Finite Impulse Response Filter with Controlled Ripple using Cuckoo Search Algorithm
    A Kumar, N Agrawal, I Sharma
    Conference on Computer Vision & Image Processing (CVIP-2018) , 2018
    2018.0
    Citations: 6
  • A New Design Approach for Nearly Linear Phase Stable IIR Filter using Fractional Derivative
    N Agrawal, A Kumar, V Bajaj
    IEEE/CAA Journal of Automatica Sinica , 2018
    2018.0
    Citations: 17
  • Design of digital IIR filter with low quantization error using hybrid optimization technique
    N Agrawal, A Kumar, V Bajaj
    Soft Computing 22 (9), 2953–2971 , 2018
    2018.0
    Citations: 30
  • A new design method for stable IIR filters with nearly linear-phase response based on fractional derivative and swarm intelligence
    N Agrawal, A Kumar, V Bajaj
    IEEE Transactions on Emerging Topics in Computational Intelligence 1 (6 … , 2017
    2017.0
    Citations: 29
  • High Order Stable Infinite Impulse Response Filter Design using Cuckoo Search Algorithm
    N Agrawal, A Kumar, V Bajaj, GK Singh
    International Journal of Automation and Computing, 1-14 , 2017
    2017.0
    Citations: 15
  • Controlled ripple based design of digital IIR filter
    N Agrawal, A Kumar, V Bajaj, HN Lee
    2016 IEEE International Conference on Digital Signal Processing (DSP) , 2016
    2016.0
    Citations: 6
  • Digital IIR Filter Design With Controlled Ripple Using Cuckoo Search Algorithm
    N Agrawal, A Kumar, V Bajaj
    International Conference on Signal and Information Processing (IConSIP) , 2016
    2016.0
    Citations: 7
  • Hybrid method based optimized design of digital IIR filter
    N Agrawal, A Kumar, V Bajaj
    International Conference on Communications and Signal Processing (ICCSP) , 2015
    2015.0
    Citations: 8
  • Optimized design of digital IIR filter using artificial bee colony algorithm
    N Agrawal, A Kumar, V Bajaj
    International Conference on Signal Processing Computing and Control (ISPCC) , 2015
    2015.0
    Citations: 14
  • 2017 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol.
    HA Abbass, M Abouhawwash, N Agrawal, A Al-Mamun, C Alippi, V Bajaj, ...

MOST CITED SCHOLAR PUBLICATIONS

  • Design of digital IIR filter: A research survey
    N Agrawal, A Kumar, V Bajaj, GK Singh
    Applied Acoustics 172, 107669 , 2021
    2021.0
    Citations: 95
  • Design of Bandpass and Bandstop Infinite Impulse Response Filters using Fractional Derivative
    N Agrawal, A Kumar, V Bajaj, GK Singh
    IEEE Transactions on Industrial Electronics 66 (2), 1285 - 1295 , 2018
    2018.0
    Citations: 47
  • A New Method for Designing of Stable Digital IIR Filter using Hybrid Method
    N Agrawal, A Kumar, V Bajaj
    Circuits, Systems, and Signal Processing , 2018
    2018.0
    Citations: 31
  • Design of digital IIR filter with low quantization error using hybrid optimization technique
    N Agrawal, A Kumar, V Bajaj
    Soft Computing 22 (9), 2953–2971 , 2018
    2018.0
    Citations: 30
  • A new design method for stable IIR filters with nearly linear-phase response based on fractional derivative and swarm intelligence
    N Agrawal, A Kumar, V Bajaj
    IEEE Transactions on Emerging Topics in Computational Intelligence 1 (6 … , 2017
    2017.0
    Citations: 29
  • Design of infinite impulse response filter using fractional derivative constraints and hybrid particle swarm optimization
    N Agrawal, A Kumar, V Bajaj
    Circuits, Systems, and Signal Processing 39 (12), 6162-6190 , 2020
    2020.0
    Citations: 23
  • Hilbert Transform Design based on Fractional Derivatives and Swarm Optimization
    A Kumar, N Agrawal, I Sharma, S Lee, HN Lee
    IEEE Transactions on Cybernetics , 2018
    2018.0
    Citations: 21
  • A New Design Approach for Nearly Linear Phase Stable IIR Filter using Fractional Derivative
    N Agrawal, A Kumar, V Bajaj
    IEEE/CAA Journal of Automatica Sinica , 2018
    2018.0
    Citations: 17
  • High Order Stable Infinite Impulse Response Filter Design using Cuckoo Search Algorithm
    N Agrawal, A Kumar, V Bajaj, GK Singh
    International Journal of Automation and Computing, 1-14 , 2017
    2017.0
    Citations: 15
  • Optimized design of digital IIR filter using artificial bee colony algorithm
    N Agrawal, A Kumar, V Bajaj
    International Conference on Signal Processing Computing and Control (ISPCC) , 2015
    2015.0
    Citations: 14
  • Hybrid method based optimized design of digital IIR filter
    N Agrawal, A Kumar, V Bajaj
    International Conference on Communications and Signal Processing (ICCSP) , 2015
    2015.0
    Citations: 8
  • Digital IIR Filter Design With Controlled Ripple Using Cuckoo Search Algorithm
    N Agrawal, A Kumar, V Bajaj
    International Conference on Signal and Information Processing (IConSIP) , 2016
    2016.0
    Citations: 7
  • Design of Finite Impulse Response Filter with Controlled Ripple using Cuckoo Search Algorithm
    A Kumar, N Agrawal, I Sharma
    Conference on Computer Vision & Image Processing (CVIP-2018) , 2018
    2018.0
    Citations: 6
  • Controlled ripple based design of digital IIR filter
    N Agrawal, A Kumar, V Bajaj, HN Lee
    2016 IEEE International Conference on Digital Signal Processing (DSP) , 2016
    2016.0
    Citations: 6
  • Weighted least square design technique for hilbert transformer using fractional derivative
    N Agrawal, A Kumar, B Kuldeep, S Lee, HN Lee
    Signal, Image and Video Processing 15 (7), 1461-1468 , 2021
    2021.0
    Citations: 5
  • Design of multiplierless digital IIR filter using modified cuckoo search algorithm
    S Ansari, G Kishor, PK Verma, N Agrawal, I Sharma, A Kumar
    2018 International Conference on Communication and Signal Processing (ICCSP … , 2018
    2018.0
    Citations: 3
  • Phase Optimization based Design of Infinite Impulse Response Filter using Fractional Derivative
    N Agrawal, A Kumar, V Bajaj
    IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5 , 2019
    2019.0
    Citations: 1
  • Adder Efficient Multiplierless Non-Uniform Filterbank Design Using Hybrid Algorithm
    I Sharma, N Agrawal, A Kumar, LK Balyan
    2018 International Conference on Communication and Signal Processing (ICCSP … , 2018
    2018.0
    Citations: 1
  • 2017 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol.
    HA Abbass, M Abouhawwash, N Agrawal, A Al-Mamun, C Alippi, V Bajaj, ...