Md Aktaruzzaman, Ph.D.

Email:

mdaktar@iu.edu

Campus:

IU Kokomo

Biography

Dr. Md Aktaruzzaman has been teaching in Computer Science and Informatics as an Assistant Professor at Indiana University Kokomo, IN, USA since August 2025. Before moving to IUK, he was a postdoctoral fellow at Dr. Everett's Lab in Indiana University School of Medicine, Indianapolis, IN. Dr. Aktaruzzaman completed his 1st postdoc from the University of Milan, Italy. He earned his Ph.D. in Computer Science from the University of Milan, Italy. He has been teaching Computer Science since 2005, beginning his academic career as a Lecturer at the Islamic University, Bangladesh. With over a decade of active research experience, Dr. Aktaruzzaman’s research focuses on applying advanced computational methods and artificial intelligence (AI) to analyze, process, and classify biomedical signals, especially electrocardiogram (ECG), electroencephalogram (EEG), skin sympathetic nerve activity (SKNA), and acceleration signals. His primary research goal is to develop intelligent systems for home-based health monitoring and early detection of pathological conditions in actively aging populations. He has a significant number of contributions in scientific journals and conferences. His major contributions include complexity analysis of short biomedical series, human activity recognition, sleep stages recognition, and fall prediction using AI. Currently, he is developing an intelligent ensemble AI system for automated cardiac event analysis from ECG signals. Besides teaching and research activities, Dr. Aktaruzzaman has played different administrative roles such as the Chairman and Coordinator of the Department of Computer Science and Engineering, House Tutor of both boys and girls student hostels, founder of Islamic University IT society  at Islamic University Kushtia, Bangladesh. He is an active member of IEEE. 

Education

Doctor of philosophy (Ph.D.)

(Thesis title: Features extraction and classification through entropy measures) In general sense, computer science methods in Biomedical Signal Processing.
Department: Computer Science
University: Università Degli Studi di Milano (UNIMI), Italy
Year of achievement: March, 2015
Supervisor: Professor Dr. Roberto Sassi, Dept. of Computer Science, UNIMI, Italy. Medium of instructions: English

Master of Science (M.Sc.)

(Thesis title: Development of Bengali handwritten numerical data reading system)
Department: Computer Science and Engineering (CSE)
University: Islamic University (IU), Kushtia, Bangladesh
Score: 446/600
Academic Excellency: 1st class with 1st position
Year of achievement: 2005
Thesis supervisor: Professor Dr. M. Farukuzzaman Khan, Dept. of CSE, IU, Kushtia, Bangladesh.
Medium of instructions: English

Bachelor of Science (B.Sc.) honors

(Project title: Handwritten Bengali optical character recognition system)
Department: Computer Science and Engineering
University: Islamic University, Kushtia, Bangladesh
Score: 1755/2500
Academic excellency: 1st class with 1st position
Year of achievement: 2003
Project supervisor: Professor Dr. M. Farukuzzaman Khan, Dept. of CSE, IU, Kushtia, Bangladesh.
Medium of instructions: English

Teaching Positions

August, 2025 - Assistant Professor, Dept. of Computer Science and Informatics, Indiana University Kokomo, IN, 46902, USA.

Oct, 2019 - August, 2022: Professor, Dept. of Computer Science and Engineering,   Islamic University Kushtia, Bangladesh

Sept, 2016 - Oct, 2019: Associate professor, Dept. of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh

Sept, 2008  - Sept., 2016: Assistant professor (on study leave from March 2012~ April 2016 ) at the Department of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh

Sept. 2005 -  Sept 2008: Lecturer at the Department of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh.

Research Positions

Sept, 2022 - July, 2025 Postdoctoral fellow, Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN 46208, USA

March, 2015 - Feb, 2016 Postdoctoral fellow, Biomedical image and Signal Processing (BiSP) Lab, Dept. of Computer Science, University of Milan, Italy

March, 2012  - Feb, 2015 Doctor of Philosophy (PhD) with scholarship, Dept. of Computer Science, University of Milan, Italy

Co-academic/ Administrative Activities

Mar, 2020 - Aug, 2022 Chairman, Dept. of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh

Jan, 2017 - Dec, 2017 Coordinator (6th and 7th Batch), Evening Masters in Computer Science and Engineering Program at Islamic University, Kushtia, Bangladesh.

July, 2016 - June, 2018 House Tutor, Shahid Ziaur Rahman Hall, Islamic University, Kushtia, Bangladesh

July, 2009 - June, 2011 House Tutor, Begum Fazilatunnesa Mujib Hall, Islamic University, Kushtia, Bangladesh

Scientific Research funding

• July 2020 - June 2021: Principal investigator (PI) of the Development of a dataset for handwritten Bengali compound characters, funded by the university grants commission (UGC) of Bangladesh, Funds: About $2000.00
• July 2018 - June 2019: PI of the Mental stress detection system of the university students from heart rate variability analysis funded by the UGC of Bangladesh, Funds: About $2000.00.
• March 2012 - March, 2015: PhD in Computer Science, Doctoral Scholarship Supported by the Ministry of Education and Culture, Italy, Scholarship: About $42000.00
• June, 2018: NVIDIA TITAN Xp PRO GPU card as a research grant which worth of about $1200.00

Theses supervise/co-supervise

• Md Jahangir Alam, Physical activity recognition from signals acquired though smart phone at different body positions, Undergraduate Project, 2019
• Md Abdus Salam, Use of deep learning in Bengali handwritten characters recognition, M.Sc. 2015 (held in 2018), Dept. Of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh.
• R. Karmacharya, Automatic sleep scoring: a comparison of features from heart rate variability and actigraphy, M.Sc. 2015, supervisor: Prof. Roberto Sassi, Dept. of Computer Science, Università degli Studi di Milano, Italy
• Joyassree Sen, Design and development of an automatic English to Bengali text translator, Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh
• Md Mojahidul Islam, Handwritten Character Recognition System of Bangla text Containing Modifier and Overlapped Characters, M.Sc. 2004, Supervisor: Prof. Dr. M. Farukuzzaman Khan, Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh
• Md Muntasir Rahman, Touchscreen controlled home automation system, Undergraduate project, Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh
• Md Mustafizur Rahman, Development of Bengali handwritten optical characters recognition, M.Sc. 2002, Supervisor: Prof. M. Farukuzzaman Khan, Dept. of Computer Science & Engineering, Islamic University, Kushtia.

Awards/ Scholarships

• 2001: Prestigious Chancellor Gold medal award  for securing 1st  merit position in M.Sc. in the Faculty of applied science and technology, Islamic University, Kushtia, Bangladesh
• 2000: University Grants Commission (UGC) scholarship of Bangladesh for securing the first position in B.Sc. honours in the faculty of applied science and technology, Islamic University, Kushtia, 7003, Bangladesh

Professional activities

• Associate editor, Sleep Medicine and Disorders: International Journal since 2017
• Member of editorial board, Journal of Applied Science and Technology, Islamic University, Kushtia, Bangladesh
• Reviewer for the Journal of Physiological Measurements
• Reviewer for the Biomedical Signal Processing and Control
• Reviewer for Medical and Biological Engineering and Computing
• Reviewer for Computers in Biology and Medicine
• Reviewer for the Journal of Entropy
• Reviewer for the Journal of Ambient Intelligence and Humanized Computing
• Reviewer for IEEE EMBC 2015, Italy
• Reviewer for Sustainable Technology for Industry I4.0, 2019
• Meta-Reviewer for BECITHCON 2021, Bangladesh
• Reviewer for IC4ME2, 2021, Rajshahi University, Rajshahi, Bangladesh
• Reviewer for IEEE-iCOSTE, Australia
• Reviewer for IC4IR, 2019, Dhaka, Bangladesh

Professional Membership

• Member, IEEE-R10, Bangladesh (Mem ID:97067146)
• Member IEEE Computer Society
• Member, IEEE EMBS, IEEE WIE
• Ex-Branch Advisor 2021, IEEE Student Branch, Islamic University

Participation in international conferences

• Co-Chair, Technical Program Committee (TPC), IEEE second International Conference on Computing, Applications and Systems (COMPAS 2025), Islamic University Kushtia, Bangladesh.
• Publication chair, 2021 International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 2021, Dhaka, Bangladesh
• Session chair, 2021 International Conference on Computer, Communication, Chemical, Material, and Electronic Engineering (IC4ME2), 26-27 Dec, 2021, Rajshahi, Bangladesh
• Session chair, 2021 International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 2021, Dhaka, Bangladesh
• Session chair and PC member, International Conference on Sustainable Technologies for Industry 4.0, 19-20th December, 2020, Purbachal, Dhaka, Bangladesh
• Session chair and PC member, International Conference on Sustainable Technologies for Industry 4.0, 24-25th December, 2019, Purbachal, Dhaka, Bangladesh
• Presenter, International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Aug.  25-29, 2015, Milan, Italy
• 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO 2014), May.  25-28, 2014 Trento, Italy
• Computing in Cardiology (CinC 2013) Sept.  22-25, 2013, Zaragoza, Spain

Societal activity

• Founder Chief advisor, Islamic University IT Society (IUITS). IUITS organizes training and free classes of different application programs (Computer Graphics and Animation, Web Development) for women/ girl to promote earning from learning IT

Participation in webinars

• Chair, Recent Trends of Research in Computer Science, Organized by the Dept. of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh, 15th Feb, 2021, Speaker: Professor. Dr. A. B. M. Shawkat Ali, Adjunct Professor, Central Queensland University, Australia
• Chair, Research and Co-curricular Activities in Computer Science and Engineering, Organized by the Dept. of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh, 1 Jan, 2021, Speaker: Professor. Dr. M. Kaykobad, BRAC University, Bangladesh
• Chair, Wearable Sensors for Health Monitoring, Organized by the Dept. of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh, 1oth Jan, 2021, Speaker: Dr. Chandan Karmakar, Senior Lecturer, Deakin University, Australia.
• Speaker, Higher Education Opportunities, Preparation, and Challenges, Organized by the Dept. of Computer Science and Engineering, Z H Shikder University, Madaripur, Bangladesh, 10th Dec, 2020

Participation in international summer/winter schools

• International Summer School on Formal Methods for the Design of Computers, Communications, and Software Systems (SFM-14), 16th-20th June, 2014 at Bertinoro, Italy.
• Bertinoro International Spring School (BiSS 2013), 3rd-9th March, Bertinoro, Italy.

Publications list

• Refereed journal papers:

[1] Md Aktaruzzaman and Thomas H Everett IV Noninvasive detection of sleep stages from heart rate variability and skin sympathetic nerve activity using AI, Nature Scientific Reports, Accepted (with publisher for print), 2025.

[2] Gabriel Gruionu, Md Aktaruzzaman, Anita Gupta, Thomas V Nowak, Matthew Ward. Heart Rate Variability Parameters Indicate Altered Autonomic Tone in Patients with COVID‐19, Scientific Reports 14, 37774, 2024, DOI: 10.1038/s41598-024-80918-w

[3] S Basir, MS Hosen, MN Hossain, M Aktaruzzaman, MS Ali, MS Islam. Enhanced speech separation through a supervised approach using bidirectional long short-term memory in dual domains, Computers and Electrical Engineering 118, 109364, 2024, DOI:10.1016/j.compeleceng.2024.109364

[4] MJ Alam, MH Rahman, MA Hossain, MR Hoque, M Aktaruzzaman, Bioinformatics and systems biology approaches to identify the synergistic effects of alcohol use disorder on the progression of neurological diseases, Neuroscience 543, 65-82, 2024, DOI: 10.1016/j.neuroscience.2024.02.015

[5] MA Hossain, TA Asa, MR Auwul, M Aktaruzzaman, MM Rahman, M Z Rahman, and M A Moni. The Pathogenetic influence of smoking on SARS-CoV-2: Integrative transcriptome and regulomics analysis of lung epithelial cells, Computers in Biology and Medicine 159, 106885, 2023, DOI: 10.1016/j.compbiomed.2023.106885

[6] Rahman MH, Jannat MKA, Islam MS, Grossi G, Bursic S, Aktaruzzaman M. Real-time face mask position recognition system based on MobileNet model. Smart Health (Amst). 2023 28:100382, Epub 2023, DOI: 10.1016/j.smhl.2023.100382.

[7] Md Shafiqul Islam, Md Moklesur Rahman, Md Hafizur Rahman, Massimo Walter Rivolta, and Md Aktaruzzaman, RATNet: A deep learning model for Bengali Handwritten Characters Recognition, Journal of Multimedia Tools and Applications, Vol. 81, pp. 10631-10651, 2022, DOI: 10.1007/s11042-022-12070-4

[8] Sayeed Rushd, Moklesur Rahman, Mohammad Arifuzzaman, and Md. Aktaruzzaman, A decision support system for predicting settling velocity of spherical and non-spherical particles in Newtonian fluids, Particulate Science and Technology, October, 2021 (online), DOI:10.1080/02726351.2021.1982092

[9] S. A. Rushd, M. Moklesur Rahman, M. Arifuzzaman, S. A. Ali, F. Shalabi, and M. Aktaruzzaman, Predicting pressure losses in the water-assisted flow of unconventional crude with machine learning, Journal of Petroleum Science and Technology, Vol. 30 (5), pp.  1-18, 2021 DOI: 10.1080/10916466.2021.1980012

[10] Md Aktaruzzaman, Tewodros Mulugate Dagnew, Massimo Walter Rivolta, Roberto Sassi, Improved lowcost recognition system for handwritten Bengali Numerals, International Journal of Computer Applications in Technology, vol 62 (04), pp. 375-383, 2021, DOI: 10.1504/IJCAT.2020.107424

[11] Md Moklesur Rahman, Md. Shafiqul Islam, Roberto Sassi, Md Aktaruzzaman, Convolutional neural networks performance comparison for handwritten Bengali numerals recognition, SN Applied Sciences, 2019, Vol. 1, 1660, DOI: 10.1007/s42452-019-1682-y

[12] Massimo W. Rivolta, Md. Aktaruzzaman, Giovanna Rizzo, Claudio L. Lafortuna,

Maurizio Ferrarin, Gabriele Bovi, Daniela R. Bonardi, Andrea Caspanif, Roberto Sassi, Evaluation of the Tinetti score and fall risk assessment via accelerometry based movement analysis , Artificial Intelligence in Medicine, vol. 95, pp. 38-47, 2019, ISSN: 0933-3657, DOI:1 0.1016/j.artmed.2018.08.005

[13] George Manis, Md Aktaruzzaman, and Roberto Sassi, Low Computational Cost for Sample Entropy, Entropy, vol. 20(1), pp. 61 (15 pages), 2018. ISSN: 1099-4300. DOI:10.3390/e20010061

[14] M. Aktaruzzaman, M.W. Rivolta, R. Karmacharya, N. Scarabottolo, L. Pugnetti, M. Garegnani, G. Bovi, G. Scalera, M. Ferrarin, R. Sassi, Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification, Computers in Biology and Medicine, vol. 89, pp. 212-221, 2017. ISSN: 0010-4825.  DOI: 10.1016/j.compbiomed.2017.08.006

[15] G. Manis, M. AKtaruzzaman, and R. Sassi, Bubble entropy: an entropy almost free of parameters, IEEE Transactions on Biomedical Engineering, vol. 64(11), pp. 2711-2718, 2017. ISSN: 0018-9294.  DOI:10.1109/TBME.2017.2664105

[16] M. Aktaruzzaman and R. Sassi, Parametric estimation of sample entropy in heart rate variability analysis, Biomedical Signal Processing and Control, Vol. 14, PP. 141-147, 2014, ISSN: 1746-8094, DOI:10.1016/j.bspc.2014.07.011

[17] S. Cerutti, V. D. Corino, L.  Mainardi, F.  Lombardi, M. Aktaruzzaman, and R. Sassi, Non-linear regularity of arterial blood pressure variability in patient with atrial fibrillation in tilt-test procedure, Europace, Suppl 4, PP. iv141-iv147, 2014, ISSN: 1099-5129, DOI: 10.1093/europace/euu262

[18] M. Aktaruzzaman, M. Migliorini, M. Tenhunen, S. L. Himanen, A. M. Bianchi, and R. Sassi, The addition of entropy-based regularity parameters improves sleep stage classification based on heart rate variability, Medical & Biological Engineering & Computing, vol. 53(5), pp. 415-425, 2015. ISSN: 0140-0118, DOI:10.1007/s11517-015-1249-z    

[19] M. Muntasir Rahman, M. Aktaruzzaman, Mst. Ashrafunnahar Hena, Design and Development of a Simple Low-cost Touchscreen to Control Home Automation System, International Journal of Information Technology and Computer Science, Hongkong, Vol. 4, PP. 26-33, 2012, DOI:10.5815/ijitcs.2012.11.04

[20] M. Ali Hossain, Ahsan-Ul-Amlbia, M. Aktaruzzaman, and Ahaduzzaman Khan, Implementation of Radon Transformation for Electrical Impedence Tomography (EIT), International Journal of Information Science and Techniques, Vol. 2 (0 5), PP.11-22, 2012, E-ISSN: 2249-1139, DOI: 10.48550/arXiv.1211.1252

[21] Kislu Noman, Md Ibrahim Abdullah, and Md Aktaruzzaman, Performance of OFDM with I/Q imbalance and Phase Noise, International Journal of Advanced Research in Computer Science, Vol. 3(04), 2012, url: https://www.researchgate.net/publication/257964120

[22] M. Mojahidul Islam, M. Aktaruzzaman, M. Farukuzzaman Khan, and M. Shohidul Islam, Handwritten Character Recognition System for Bangla Text Containing Modifiers and Overlapped Characters, Asian Transactions on Computers, Vol. 01 (05), PP. 15-19, Pakistan, 2011, ISSN: 2221-4275, url: https://www.researchgate.net/publication/257964486

[22] M. Atiqur Rahman, Ahsan-Ul-Ambia, and M. Aktaruzzaman, Recognition Static Hand Gestures of Alphabet in ASL, International Journal of Computer and Information Techniques, vol, 2(01), pp. 75-78, URL:http://www.ijcit.org/ijcit_papers/vol2no1/IJCIT-110749.pdf

[23] M. Aktaruzzaman, M. Farukuzzaman khan, and Dr. Ahsan-Ul-Ambia, A new technique for segmentation of handwritten numerical strings of Bangla language, I.J. of Information Technology and Computer Science, 2013, vol. 05, pp. 38-43, DOI: 10.5815/IJITCS.2013.05.05

International conference papers:

[1] Md. Moklesur Rahman, and Md. Aktaruzzaman, An End-to-End Deep Learning Model for Mental Arithmetic Task Classification from Multi-channel EEG, 2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 4-5th Dec, Dhaka, Bangladesh, DOI: 10.1109/BECITHCON54710.2021.9893638

[2] M. S. Islam, M. M. Rahman,, M. R. Hoque, M H Rahman,  A. K. Roonizi, and M. Aktaruzzaman, A deep learning based multi-model  ensemble method for eye state recognition from EEG, IEEE 11th Annual computing and communication workshop and conference, 2021, 27-30 Jan, USA, pp. 819- 824, DOI: 10.1109/CCWC51732.2021.9376084

[3] M. M. Rahman, M S Islam, M K Jannat, M H Rahman, M Arifuzzaman, R Sassi, M Aktaruzzaman, EyeNet: An Improved Eye States Classification System using Convolutional Neural Network, 2020 22nd International Conference on Advanced Communication Technology (ICACT), Phoenix Park, PyeongChang,, Korea (South), 2020, pp. 84-90, DOI: 10.23919/ICACT48636.2020.9061472

[4] M. M. Rahman, M. S. Islam, M. H. Rahman, R. Sassi, M. W. Rivolta and M. Aktaruzzaman, A New Benchmark on American Sign Language Recognition using Convolutional Neural Network, 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2019, pp. 1-6, DOI: 10.1109/STI47673.2019.9067974

[5] M S Islam, M M Rahman, M H Rahman, M Arifuzzaman, Roberto Sassi, Md Aktaruzzaman, Recognition Bangla Sign Language using Convolutional Neural Network, International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 22-23 September, 2019, Skheir, Bharain, DOI: 10.1109/3ICT.2019.8910301

[6] Massimo W Rivolta, Md Aktaruzzaman, Tamara Stampalija, Daniela Casati, Martin G Frasch, Enrico Ferrazzi, and Roberto Sassi, Regularity of Fetal HRV Changes in an In-vivo Sheep Model of Labor, Computing in Cardiology, September 11-14, 2016, vol. 43, pp. 901-904. ISSN: 2325-8861, Vancouver, Canada, url: https://ieeexplore.ieee.org/document/7868889

[7] M. W. Rivolta, M. Migliorini, M. Aktaruzzaman, R. Sassi, and A. M. Bianchi, Effects of the series length on Lempel-Ziv complexity, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, USA, 26th-30th August, 2014, ISBN: 978-1-4244-7929-0, DOI: 10.1109/EMBC.2014.6943685

[8] M. Aktaruzzaman, V. Corino, L. T. Mainardi, S. R. Ulimoen, P. G. Platonov, A. Tveit, S. Enger, and R. Sassi, HRV Regularity During Persistent Atrial Fibrillation: A Pararametric Assessment Using Sample Entropy, 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO),Trento, Italy, 25-28th May, 2014, ISBN: 978-1-4799-3969-5, DOI: 10.1109/ESGCO.2014.6847561

[9] M. Aktaruzzaman and R. Sassi, SampEn Parametric Estimation for Heart Rate Variability Analysis, Computing in Cardiology (CinC), Zaragoza, Spain, 22-25th September, 2013, ISBN: 978-1-4799-0884-4, https://ieeexplore.ieee.org/document/6713405

[10] M. Sajedul Haque, M. S. Ali, S. K. Mondol, M. Aktaruzzaman, and Dr. B. Islam, Performance Comparison of Fuzzy Quaries on Fuzzy Database and Classical Database, ICECE, Dhaka, Bangladesh,19-20, December, 2008, E-ISBN:978-1-4244-2015-5, DOI: 10.1109/ICECE.2008.4769291

[11] M. Aktaruzzaman, N. Scrabotollo and R. Sassi, Parametric estimation of sample entropy for physical activity recognition, IEEE EMBC Aug 25-29, 2015, Milan, Italy, DOI: 10.1109/EMBC.2015.7318401

[12] M.W. Rivolta, M. Aktaruzzaman, G. Rizzo, C. L. Lafortuna, M. Ferrarin, G. Bovi, D. R. Bonardi, and R. Sassi, Automatic vs. clinical assessment of fall risk in older individuals: a proof of concept, IEEE EMBC, Aug 25-29,  2015, Milan, Italy, DOI: 10.1109/EMBC.2015.7319987

Conference abstracts

[1] M. W. Rivolta, Md Aktaruzzaman, G. Rizzo, C. L. Lafortuna, M. Ferrarin, G. Bovi, D. R. Bonardi and R. Sassi, Accelerometric-based Features as Surrogate of Tinetti test, in XVII National Congress of the Italian Society of Movement Analysis in Clinics - SIAMOC 2016, Milan, October 5-8, 2016, url: https://core.ac.uk/reader/187964232

[2] M. Aktaruzzaman, G. Manis, R. Sassi, Permutation entropy and its parametric estimation in heart rate variability analysis, in 9th meeting of the European Study Group on Cardiovascular Oscillations - ESGCO 2016, pp. 159-160, Lancaster (UK) April 10-14, 2016, url: https://core.ac.uk/reader/187964230

[3] M. Aktaruzzaman, M.W. Rivolta, R. Karmacharya, L. Pugnetti, M. Garegnani, G. Bovi, M. Ferrarin, R. Sassi, Use of detrended fluctuation analysis for sleep vs wake classification from heart rate variability, in 9th meeting of the European Study Group on Cardiovascular Oscillations - ESGCO 2016, pp. 36-37, Lancaster (UK) April 10-14, 2016, url: https://core.ac.uk/display/187964229

Editorial

Md Aktaruzzaman, Long Term Sleep Quality Assessment: A New Hope, Sleep Medicine and Disorders: International Journal, vol. 01 (02), 2017.