Birla Institute of Technology, Mesra
Dr. Yogender Aggarwal
Assistant Professor, Bioengineering and Biotechnology
M.Sc, Ph.D. (Technology)
Contact Address
Permanent Address C-II/49, Birla Institute of Technology Mesra, Ranchi Jharkhand-835215
Local Address Department of Bioengineering and Biotechnology Birla Institute of Technology Mesra, Ranchi Jharkhand-835215
Phone (Office) 0651-2275444
Phone Residence 9431991797
Email Id yaggarwal@bitmesra.ac.in
Joined Institute on : 31-May-2007

  Work Experience
 
Teaching : 15 Years

Research : 10 Years

  Professional Background
  • Working as Associate Dean (Student Affairs) Since March, 2023.
  • Working as Assistant Professor since July, 2012.
  • Worked as Hostel Superintendent (Hostel-03) from December 2017 to February, 2023..
  • Worked as NSS Program Officer from January 2015 to January 2020 at BIT Mesra.
  • Worked as Associate Lecturer from June, 2007 to June, 2012 at BIT, Mesra.
  • Worked as Research Fellow from February, 2006 to May, 2007 at BIT, Mesra.
  • Worked as Research Associate from October 2005 to January 2006 at BIT, Mesra.
  • Worked as Assistant Hostel Superintendent (Hostel-10) for the period from August 2014 to November 2017 BIT Mesra
  • Worked as Assistant Hostel Superintendent (Hostel-11) for the period from July 2010 to September, 2011 at BIT Mesra.
  • Worked as Assistant Controller of Examination from September, 2011 to July 2014 at BIT Mesra.

 

  Research Areas
 
  • Biomedical Modeling 
  • Medical Informatics
  • Biosignal Analysis

Details of Doctorate Thesis Guided

Awarded

  1. Heart rate variability analysis to evaluate the performance status of lung cancer patients by Reema Shyamsunder Shukla (PhD/BT/10052/2014), 2019.

Ongoing

  1. Validation of different biomarkers through electrophysiological technique in prediction of cardiovascular disease by Rahul Kumar (PhD/BE/10001/18).
  2. Heart rate variability analysis as marker for neurodegenerative disorders by Kumar Satyam (PhD/BE/10055/18).
  3. Molecular characterization of type VI secretion system (T6ss) in gram negative bacteria by Kiran Kumari (PhD/BE/10008/21)
  Publications
 

Journals:

  1. Kumar, R., Aggarwal, Y., Nigam, V.K. and Sinha, R.K. (2024) Time-Domain Heart Rate Dynamics in the Prognosis of Progressive Atherosclerosis. Nutrition, Metabolism and Cardiovascular Diseases. (https://doi.org/10.1016/j.numecd.2024.01.011)
  2. Kumar, R., Aggarwal, Y., Nigam, V.K. and Sinha, R.K. (2024) Correlation of Poincare Plot Derived Stress Score and Heart Rate Variability Parameters in the Assessment Coronary Artery Disease. Biomedical Engineering- Applications, Basis and Communications. https://doi.org/10.4015/S1016237223500400.
  3. Shree, P., Aggarwal, Y., Kumar, M., Majhee, L., Singh, N.N., Prakash, O., Chandra, A., Mahuli, S.A., Shamsi, S., Rai, A., (2024) Saliva based diagnostic prediction of Oral Squamous cell carcinoma using FTIR spectroscopy. Indian Journal of Otolaryngology and Head & Neck Surgery (DOI: 10.1007/s12070-023-04294-z).
  4. Kumari, K., Aggarwal, Y., and Singh, R.P. (2023) Molecular characterization and in-depth genomic analysis to unravel the pathogenic features of an environmental isolate Enterobacter sp. S-33. International Microbiology (https://doi.org/10.1007/s10123-023-00461-y) 
  5. Kumar, R., Aggarwal, Y., Nigam, V.K. and Sinha, R.K. (2023) Nonlinear Pulse Wave Dynamics in Prediction of Coronary Heart Disease and Myocardial Infarction. IETE Journal of Research (https://doi.org/10.1080/03772063.2023.2245353)
  6. Yadav, A., Aggarwal, Y. and Mukherjee, K (2023) Identification and screening of plant based potent inhibitors against nSH2 domain of PI3K of breast cancer using docking and simulation studies. Biomedical Engineering- Applications, Basis and Communications. 35:5, PP. 2350018.
  7. Sinha, R.K., Das, J., Mazumder, P. M. and Aggarwal, Y. (2023) Nonlinear Heart Rate Variability Features in Depicting the Efficacy of Rutin under Streptozotocin-Induced Diabetes Model with Support Vector Machine. Biomedical Engineering- Applications, Basis and Communications, 23:4, pp. 235001.
  8. Shukla, R.S. and Aggarwal, Y. (2023) Fourier Transform and Autoregressive HRV Features in Prediction and Classification of Breast Cancer. IETE Journal of Research. 69 (4): 1897-1905 (DOI: 10.1080/03772063.2021.1878063).
  9. Chandra, S., Sinha, R. K., Upadhyay, P. K. and Aggarwal, Y. (2023) Detection of EEG spikes using machine learning classifier, International Research Journal of Engineering and Technology, 10: 480-500. 
  10. Kumari, K., Sharma, P.K., Aggarwal, Y., Singh, R.P. (2022) Secretome analysis of an environmental isolate Enterobacter sp. S-33 identifies proteins related to pathogenicity. Archives of Microbiology. 204(11): 1-3.
  11. Shrivastava, P.K., Kumar, A., Aggarwal, Y., Kumar, A., Agrawal, A., Rai, A. (2022) Diagnostic accuracy of vibrational spectroscopy in the diagnosis of oral potentiually malignant and malignant disorders: A systemic review and meta-analysis. Journal of Cancer Research and Therapeutics.
  12. Kumar, R., Aggarwal, Y. and Nigam, V.K. (2022) Heart Rate Dynamics in Prediction of Coronary Artery Disease and Myocardial Infarction Using Artificial Neural Network and Support Vector Machine. Journal of Applied Biomedicine. 20(2):70-79.
  13. Kumar, R., Aggarwal, Y. and Nigam, V.K. (2022) Autonomic Features in Prediction of Coronary Artery Disease and Myocardial Infarction. IETE Journal of Research. DOI:10.1080/03772063.2022.2069162.
  14. Aggarwal, Y., Das, J., Mazumder, P. M., Kumar, R. and Sinha, R. K. (2021) Heart rate variability time domain features in automated prediction of diabetes in rat. Physical and Engineering Sciences in Medicine. 44:45-52.
  15. Aggarwal, Y., Das, J., Mazumder, P. M., Kumar, R. and Sinha, R. K. (2020) Heart rate variability features from nonlinear cardiac dynamics in identification of diabetes using artificial neural network and support vector machine. Biocybernetics and Biomedical Engineering. 40:1002-1009.
  16. Shukla, R. S., Aggarwal, Y., Raut, S.S. and Sinha, R.K. (2020) Unmet need of objective monitor to evaluate performance status in lung cancer patients. Indian Journal of Public Health Research and Development. 11(2): 98-101.
  17. Singh, N., Aggarwal, Y. and Sinha, R.K. (2019) Heart rate variability analysis under varied task difficulties in mental arithmetic performance. Health and Technology. 9(3): 343-353.
  18. Shukla, R. S. and Aggarwal, Y. (2018) Nonlinear Heart Rate Variability Based Analysis and Prediction of Performance Status in Pulmonary Metastasis Patients, Clinical Biomedical Engineering: Applications, Basis and Communications. 30(4): 1850043(1-8).
  19. Shukla, R. S. and Aggarwal, Y. (2018) Heart Rate Variability in Male Breast Cancer, Clinical Cancer Investigation Journal. 7: 125-126.
  20.  Shukla, R. S. and Aggarwal, Y. (2018) Pseudo-Myocardial Infarction and Ischemic Heart Diseases ECG in Lung Cancer, Journal of Clinical Engineering. 43(1): 48-52.
  21. Shukla, R. S. and Aggarwal, Y. (2018) Nonlinear Heart Rate Variability based artificial intelligence in lung cancer prediction. Journal of Applied Biomedicine. 16(2): 145-155.
  22. Shukla, R. S. and Aggarwal, Y. (2017) Time-domain heart rate variability-based computer-aided prognosis of lung cancer, Indian Journal of Cancer. DOI: 10.4103/ijc.IJC_395_17.
  23. Chaudhary N., Aggarwal Y. and Sinha R. K. (2016) Role of α-synuclein in Parkinson’s Disease, Pharma Times, 48(6): 11-14.
  24. Chaudhary N., Aggarwal Y., Singh N. and Sinha R. K. (2015) Electronic analogy to simulate and predict the dynamics of cellular mechanism of Parkinson’s disease stimulated by environmental factors, Biomedical Engineering- Applications, Basis and Communications, 27(6): 1550051 (1-13).
  25. Ranjan, P., Mazumder, P. M., Parmaguru, R., Sasmal, D., Sinha, R. K., Aggarwal, Y. and Das, J. (2015) Effect of Ethyl Acetate Fraction of the Aerial Parts of Salvia splendens Sellow ex Roem. and Schult on Diabetic Neuropathy. Pharmacologia 6 (8): 313-323.
  26. Aggarwal, Y., Bhardwaj, A. and Sinha, R. K. (2015) Boolean Model to Analyze the Heat Shock Protein70 Production with the Activation of Heat Shock Factor-1 under Heat Stress, Research & Reviews: Journal of Computational Biology, 4(1): 7-14.
  27. Aggarwal, Y., Shikha, Shukla, S. and Sinha, R. K. (2015) Effects of Reading Task With or Without Verbalisation on Heart Rate Variability, Research and Reviews: Journal of Neuroscience, 5(1): 1-4.
  28. Chaudhary, N., Aggarwal, Y. and Sinha, R. K. (2015) Electronic Simulation of Neuronal Degeneration in Parkinson's Disease, Journal of Clinical Engineering, 40(2): 97-102.
  29. Chaudhary, N., Aggarwal, Y. and Sinha, R. K. (2015) Electronic Simulation of genetic interplay between LRRK2, SNCA and BDNF genes in Parkinson’s disease, International Journal of Applied Engineering Research, 10: 3515-3525.
  30. Chaudhary, N., Aggarwal, Y., Singh, N., Sinha R. K. (2014) Boolean logic approach to analyze biomolecular networks: a foundation of bio-computing, Austin Journal of Biotechnology and Bioengineering, 1:id1016.
  31. Aggarwal, Y., Singh, N., Ghosh, S., Sinha, R. K. (2014) Eye Gaze-Induced Mental Stress Alters the Heart Rate Variability Analysis, Journal of Clinical Engineering, 39(2): 79-89.
  32. Sinha, R. K., Aggarwal, Y., Singh, S. S. S. (2013) Chronic exposure of low power radiofrequency changes the EEG signals of rats, Advances in Biomedical Engineering Research, 1: 17-23.
  33. Chaudhary, N., Aggarwal, Y., Sinha, R. K. (2013) Study of latent early-life associated regulations and automated identification of parkinson’s disease, International Journal of Basic and Applied Medical Sciences,  3: 87-97.
  34. Sinha, R. K., Aggarwal, Y., Chakrabarti N. (2013) Can phonocardiography evaluate the left ventricular ejection fraction? International Journal of Basic and Applied Medical Sciences, 3: 110-112.
  35. Sinha, R. K., Aggarwal, Y., Ghosh, S., Chakrabarti N. (2013) K-nearest neighbourhood approach to identify the level of left ventricular ejection fraction from phonocardiogram, Journal of Clinical Engineering, 38: 75-78.
  36. Chaudhary, N., Aggarwal, Y., Sinha, R. K. (2013) Artificial neural network based classification of neurodegeneration diseases, Advances in Biomedical Engineering Research, 1: 1-8.
  37. Aggarwal, Y., Gupta, T., Sinha, R. K. (2012) Physiological and genetic basis of thermoregulation under heat stress, World Journal of Pharmaceutical Research, 1: 107-142.
  38. Aggarwal, Y., Singh, N., Sinha, R. K. (2012) Electrooculogram based Study to Assess the Effects of Prolonged Eye Fixation on Autonomic Responses and its Possible Implication in Man-Machine Interface, Health and Technology, 2: 89-94.
  39. Aggarwal, Y., Karan, B. M., Das, B. N., and Sinha, R. K. (2010) Mechanistic Electronic Model to Simulate and Predict the Effect of Heat Stress on the Functional Genomics of HO-1 System: Vasodilation, Computers in Biology and Medicine, 40: 533-542.
  40. Sinha, R. K., and Aggarwal, Y. (2009) Neural Network Detects the Effects of p-CPA Pre-treatment on Brain Electrophysiology in a Rat Model of Focal Brain Injury, Journal of Clinical Monitoring and Computing,23: 105-113.
  41. Aggarwal, Y., Karan, B. M., Das, B. N., and Sinha, R. K. (2008) An Unsupervised Neural Network to Predict the Level of Heat Stress, Journal of Clinical Monitoring and Computing, 22: 425-430. 
  42. Aggarwal, Y., Karan, B. M., Das, B. N., and Sinha, R. K. (2008) Computer simulation of heat transfer in different tissue layers of body extremities under Heat Stress in deep anesthetic condition, Journal of Medical Systems, 32: 283-290.
  43. Sinha, R. K., Aggarwal, Y., Upadhyay, P. K., Dwivedi, A., Keshri, A. K., and Das, B. N. (2008) Neural Network-Based Evaluation of Chronic Non-Thermal Effects of Modulated 2450 MHz Microwave Radiation on Electroencephalogram, Annals of Biomedical Engineering, 36:339-351.
  44. Aggarwal, Y., Karan, B. M., Das, B. N., and Sinha, R. K. (2008) Prediction of Heat-illness symptoms with the Prediction of Human Vascular Response in Hot Environment under Resting Condition, Journal of Medical Systems, 32: 167-176.
  45. Aggarwal, Y., Karan, B. M., Das, B. N., Aggarwal, T. and Sinha, R. K. (2007) Backpropagation ANN based Prediction of Exertional Heat-Illness, Journal of Medical Systems, 31: 547-550.
  46. Sinha, R. K. and Aggarwal, Y. (2007) Design of a Computerized Human Resource Information System for Hospitals, The Alternative, Deptt. of Management, B.I.T. Mesra, journal, Vol. VI, No. 2.
  47. Sinha, R. K., Aggarwal, Y. and Das, B. N. (2007) Backpropagation Artificial Neural Network Classifier to Detect Changes in Heart Sound due to Mitral Valve Regurgitation, Journal of Medical Systems, 31: 205-209.
  48. Sinha, R. K. and Aggarwal, Y. (2007) Depletion of serotonin synthesis with p-CPA pretreatment alters EEG in urethane anesthetized rats under whole body hyperthermia, Iranian Biomedical Journal, 11: 33-39.
  49. Sinha, R. K., Aggarwal, Y. and Das, B. N. (2007) Backpropagation artificial neural network detects changes in electro-encephalogram power spectra of syncopic patients, Journal of Medical Systems, 31: 63-68.

Book Chapters:

  1. Kumar, R., Aggarwal, Y., Nigam, V.K. and Sinha, R.K. (2024) Linking Autonomic Nervous system to the Progression of Atherosclerosis: A mini-review. In: Mukherjee B., Raj A., Singh A., Tanwar T. (eds) Interdisciplinary Research in Biological and Medical Sciences Vol. II. MKSES Publisher Lucknow India. pp. 1-6. ISBN: 78-81-19746-58-3.
  2. Kumar, R., Aggarwal, Y. and Nigam, V.K. (2021) Biomarkers and Heart Rate Variability in the Prognosis of Cardiovascular Diseases: A perspective. In: Mukherjee M., Mandal J., Bhattacharyya S., Huck C., Biswas S. (eds) Advances in Medical Physics and Healthcare Engineering. Lecture Notes in Bioengineering. Springer, Singapore. pp. 57-69. https://doi.org/10.1007/978-981-33-6915-3_7.
  3. Shukla, R. S., Aggarwal, Y., Sinha, R. K. and Raut, S. S. (2020) Effect of age on heart rate variability analysis in breast cancer patients. In: Sriraam N. (Ed.) Biomedical and clinical engineering for healthcare advancement. IGI Global, USA. pp. 141-167.
  4. Shukla, R. S., Aggarwal, Y., Sinha, R. K. and Raut, S. S. (2020) Heart rate variability analysis in lung cancer patient to determine the effect of treatment. In: Vyas R. (Eds.) Advances in bioengineering. Springer, Singapore. pp. 201-210.

Conferences:

  1. Kumar, R., Aggarwal, Y., Nigam, V.K., and Sinha, R.K. (2024) Linking Autonomic Nervous system to the Progression of Atherosclerosis: A mini-review. In: Singh, S.K., Sharma, P., Tripathi, S. and Yadav, D.K. (eds) Conference Proceeding of International Conference on The Role of AI and Multidisciplinary Research in Shaping a Sustainable Future, Jan 11-13, 2024, organized by Kaaf University College, Ghana in collaboration with International Institute of Special Education and Science Tech Institute UP. ISBN: 978-81-19746-23-1.
  2. Yadav, A., Mukherjee, K., and Aggarwal, Y. (2022) Identification of potent inhibitors against nSH2 domain of pi3k protein under breast cancer, using bioinformatics approach. Biosangam 2022: An International Conference on Emerging Trends in Biotechnology organised by Motilal Nehru National Institute of Technology (MNIT) Allahabad from March 10-12, 2022.
  3. Kumar, R. Aggarwal, Y. and Nigam V.K. (2020) Biomarkers and Heart Rate Variability in the Prognosis of Cardiovascular Diseases: A Perspective. IEEE AMPHE 2020 organised by Adamas University Kolkata from 25th - 26th September 2020.
  4. Shukla, R.S., Aggarwal, Y. Sinha, R.K., Shreeniwas, S.R. (2019) Heart Rate Variability Analysis in Lung Cancer Patients to Study the Effect of Treatment. 2nd International Conference on Recent Trends in Bioengineering organised by MIT-ADT University, Pune on 16th Feb, 2019.
  5. Shukla, R.S. Aggarwal, Y. (2017). Heart Rate Variability Time-domain Analysis in Pulmonary Metastasis to assess performance status. International Conference on Innovations & Sustainable Development in Sciences, Management & Technology (ICI-SDSMT-2017) organized by Shri Shankaracharya Institute of Professional Management and Technology (SSIPMT), Raipur, Chhattisgarh, India on 25th to 26th March, 2017.
  6. Shukla, R.S. Aggarwal, Y. (2017). Spectral Analysis to Evaluate the Effect of Treatment on Autonomic Nervous System in Pulmonary Metastasis. International Conference on Advancement in Engineering, Applied Science and Management (ICAEASM-17) organized by CDAC Mumbai, India on 18th June, 2017.
  7. Singh, N., Aggarwal, Y., Sinha, R. K. (2011) Eye Fixation Based Pulse Rate Variability as Switching Signal for Human-Machine Interface. ICBME, 2011 organized by Manipal Institute of Technology, Manipal.
  8. Aggarwal, Y., Sinha, R. K., Karan, B. M., Das, B. N. (2007) Circuit Modeling Approach to Analyze the Effect of High Heat on Thermoregulatory Control Mechanism in Human. International Conference on Control and its Applications organized by SIAM, San Francisco, California on June-29-July-01, 2007.
  9. Aggarwal, Y., Sinha, R. K., Karan, B. M., Das, B. N. (2007) Circuit Modeling Approach to Model the Skin Blood Flow in the Thermoneutral Zone of Human Body Temperature Regulation. All India Seminar-2007 on Achievements and Challenges in Electronic and Telecommunication Engineering organized by The Institution of Engineers (India), Jharkhand State Center on 20th & 21st January, 2007.
  10. Aggarwal, Y., Karan, B. M., Das, B. N. and Sinha, R. K. (2006) A model to approach heat transfer mechanism of laboratory rats in hot environment. National Symposium on Bio-Medical Engineering (BIMETS’06), organized by Department of Bio-Medical Engineering. Siliguri Institute of Technology, Siliguri on 7th & 8th April, 2006.

Abstract Published

  1. Shukla, R. S. and Aggarwal, Y. (2017) Heart Rate Variability Analysis Based On Gender and Age in Lung Cancer. Journal of Cancer Research and Therapeutics. Supplement 1, Volume 13, pp. S402, Abstract Id: YUGP5479.
  2. Shukla, R. S. and Aggarwal, Y. (2017) Spectral Analysis to Evaluate the Effect of Treatment on Autonomic Nervous System in Pulmonary Metastasis. Journal of Cancer Research and Therapeutics. Supplement 1, Volume 13, S20, Abstract Id: YUGP0880.
  Member of Professional Bodies
 
  • Life membership of The Indian Society for Technical Education (LM-57816).
  • Life Membership of Biomedical Engineering Society of India (BMESI) (L-690).
  • Member of International Brain Research Organization (IBRO).
  • Member of International Association of Engineers (IAENG) (Mem. No. – 62663).
  • Society of Engineering and Applied Sciences (SEAS) - International.
  • IDEA Institute for Doctors Engineers and Scientists – (Mem No. 1478)
  Current Sponsored Projects
 

Ongoing

  1. ICMR sponsored Project on Brain signal controlled wheel chair as Co-Investigator from 2023 to 2026. (31.01 Lakhs).

Completed

  1. UGC (BSR) Sponsored Project on Determination of mental workload and fatigue under different degrees of mental task as Principal Investigator from 2013 to 2015. (6.0 Lakhs).
  2. UGC (MRP) Sponsored Project on Electroencephalogram and Electrooculogram based Hand-Eye Coordination System for Hybrid Brain-Computer Interface as Principal Investigator from 2011-2013. (1.10 Lakhs).
  3. UGC (MRP) Sponsored Project on Voluntary Event Related Brain Signal Classification as Co-Principal Investigator from 2009 to 2012. (11.47 Lakhs).
  4. AICTE (RPS) Sponsored Project on Soft Computing and Phonocardiogram based Automated Detection System for Diagnosis of Heart Valve Diseases as Co-Principal Investigator from 2009 to 2012. (6.90 Lakhs).
  Member, Editorial Board
 

 

  • Editorial board member of Journal of Developmental Biology and Tissue Engineering.
  • Editorial board member of Austin Journal of Biotechnology and Bioengineering.
  • Invited Reviewer for Journal of Neurosciences in Rural Practice.
  • Invited Reviewer for Journal of Theoretical Biology.
  • Invited Reviewer for Computers in Biology and Medicine.
  • Invited Reviewer for Computer Methods and Programs in Biomedicine.
  • Invited Reviewer for Medical Hypotheses.
  • Invited Reviewer for Journal of Metabolomics and Systems Biology.
  • Invited Reviewer for Journal of Medical Systems.