Pradeep Kumar Mallick
Pradeep Kumar Mallick
Associate Professor
Dr. Pradeep Kumar Mallick is a Senior Associate Professor in the School of Computer Engineering and the Associate Dean (IPR) at KIIT Deemed to be University, Odisha, India. Since January 2021, he has also been serving as a collaborating Research Professor at Baekseok University, South Korea. In addition, he currently holds the position of Vice-Chair of the IEEE Computer Society, Bhubaneswar Section. Earlier, he served as Professor and Head of the Department of Computer Science and Engineering at Vignana Bharathi Institute of Technology, Hyderabad.Dr. Mallick obtained his Post-Doctoral Fellowship from Kongju National University, South Korea, his Ph.D. from Siksha ‘O’ Anusandhan University, his M.Tech. (CSE) from Biju Patnaik University of Technology (BPUT), and his MCA from Fakir Mohan University. His research interests include Data Mining, Image Processing, Soft Computing, and Machine Learning.He has authored more than 190 research papers, 20 edited books, and one textbook. He also holds 14 granted international patents and 17 published national patents and has successfully completed two international consultancy research projects. Dr. Mallick serves as an Editorial Board Member of the Korean Convergence Society for SMB and as a Guest Editor for reputed international journals published by Elsevier, Springer Nature, SAGE, and Inderscience.
Profile Links
Email :
[email protected]
Google Scholar :
https://scholar.google.com/citations?user=Vo6vDTUAAAAJ&hl=en
Social Links
Educational Qualification
Research Interests
Projects
Administrative Responsibility
FIC- Visiting Faculty and Guest Faculty
Awards & Honours
Memberships
Korean Convergence Society for SMB
Outreach Activity
"Indian patent: 1)A Device for Easing the Anxiety of a User, Application No:202031002202, Filling Date:17.01.2020, Publication Date: 07.02.2020, Field: Biomedical Engineering 2)A Medicine Recommendation System, Application No: 2020310300072A, Filling Date:15.07.2020, Publication Date: 14.08.2020 3)Low-Cost Public Transport Disinfection and Sterilization System,Application No: 202041034076A, Filling Date:08.08.2020, Publication Date: 04.09.2020 4)Machine Learning Based Ball Throwing Machine,Application No: 202041040702, Filling Date:21.09.2020, Publication Date: 02.10.2020 Australian Patent: 1.Machine Learning-Based Smart Workout Mirror and Method Thereof, Application No: 2020102642, Filling Date:08.10.2020, Granted Date: 06.11.2020 .[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102642) 2.Machine Learning And IOT -Based Smart Self Adjusting Potty Seat, Application No: 2020102473, Application date: 28/09/2020,mGranted Date: 28.10.2020. [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102473) 3.Machine Learning and IOT Based Autonomous Car Jack, Patent No: 2021100050,Application Date: 06.01.2021, Grant Date: 10.03.2021.[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2021100050) 4.IoT and Machine Learning-Based Student Management System, Patent No: 2020103765, Application Date: 29.11.2020 Grant Date: 03.03.2021 . [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103765) 5.Machine Learning Based Plant Growth Moderator, Patent No: 2020103563, Application Date: 19.11.2020 Grant Date:20.01.2021 . [Granted] ( http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103563) "
- M.Tech (CSE)
- PhD(CSE)
- Post Doctodate (Kongju National University, South Korea)
Research Interests
- Data Mining
- Machine Learning
- Soft Computing
- Medical Image Processing
Projects
- 1. Name of project: Design Considerations for EMI Reduction in Automotive Power Management
- System, Names of Investigators: Pradeep Kumar Mallick, Funding agency: Beakseaok University South Korea, Status: Completed, 2020.
Administrative Responsibility
FIC- Visiting Faculty and Guest Faculty
Awards & Honours
- Fakir Mohan University Gold Medal for the Year 2008 as First Class First in MCA
- Godabari Devi Memorial Gold Medal for the Year 2008 as First Class First in MCA
- Best Teach Award by Ever Green Foundation and OMC on the eve of Engineers Day, 2019
- Universal Innovator Leadership Award(UILA-2020) for Best Contributor in the field of Computer Science and Engineering by Universal Innovators .21-23, February 2020, Delhi
Memberships
Korean Convergence Society for SMB
Outreach Activity
"Indian patent: 1)A Device for Easing the Anxiety of a User, Application No:202031002202, Filling Date:17.01.2020, Publication Date: 07.02.2020, Field: Biomedical Engineering 2)A Medicine Recommendation System, Application No: 2020310300072A, Filling Date:15.07.2020, Publication Date: 14.08.2020 3)Low-Cost Public Transport Disinfection and Sterilization System,Application No: 202041034076A, Filling Date:08.08.2020, Publication Date: 04.09.2020 4)Machine Learning Based Ball Throwing Machine,Application No: 202041040702, Filling Date:21.09.2020, Publication Date: 02.10.2020 Australian Patent: 1.Machine Learning-Based Smart Workout Mirror and Method Thereof, Application No: 2020102642, Filling Date:08.10.2020, Granted Date: 06.11.2020 .[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102642) 2.Machine Learning And IOT -Based Smart Self Adjusting Potty Seat, Application No: 2020102473, Application date: 28/09/2020,mGranted Date: 28.10.2020. [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102473) 3.Machine Learning and IOT Based Autonomous Car Jack, Patent No: 2021100050,Application Date: 06.01.2021, Grant Date: 10.03.2021.[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2021100050) 4.IoT and Machine Learning-Based Student Management System, Patent No: 2020103765, Application Date: 29.11.2020 Grant Date: 03.03.2021 . [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103765) 5.Machine Learning Based Plant Growth Moderator, Patent No: 2020103563, Application Date: 19.11.2020 Grant Date:20.01.2021 . [Granted] ( http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103563) "
Journals/Conferences :
A. Book Publication :
1. Rajshree Srivastava , Pradeep Kumar Mallick, Siddharth Swarup Rautaray ,and Manjusha Pandey, Computational Intelligence for Machine Learning and Healthcare Informatics (Intelligent Biomedical Data Analysis) ,De Gruyter Publisher, ISBN-13: 978-3-11-064782-2 (https://www.degruyter.com/view/title/565456?language=en)
2. Pradeep Kumar Mallick,Prasant Patnaik,Amiya Ranjan Panda and Valentina Emilia Balas, Cognitive Computing in Human Cognition: Perspectives and Applications (Learning and Analytics in Intelligent Systems), Published by : eBook ISBN978-3-030-48118-6, DOI :10.1007/978-3-030-48118-6.
3. Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, and Margarita Favorskaya, Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision ... Analytics in Intelligent Systems Book 10), Springer Publisher, eBook ISBN 978-3-030-39033-4, DOI 10.1007/978-3-030-39033-4.
4. Pradeep Kumar Mallick ,Valentina Emilia Balas,Akash Kumar Bhoi,and Gyoo-Soo Chae, Cognitive Informatics and Soft Computing: Proceeding of CISC 2019 (Advances in Intelligent Systems and Computing Book 1040), Springer, eBook ISBN978-981-15-1451-7, DOI 10.1007/978-981-15-1451-7.
5. Pradeep Kumar Mallick, Preetisudha Meher,Alak Majumder, Santos Kumar Das, “Electronic Systems and Intelligent Computing (Lecture Notes on Electrical Engineering)”, Springer Singapore, Vol-686, eBook ISBN:978-981-15-7031-5.DOI: 10.1007/978-981-15-7031-5
6. Pradeep Kumar Mallick , Akash Kumar Bhoi , Gyoo-Soo Chae , Kanak Kalita, “Advances in Electronics, Communication and Computing: Select Proceedings of ETAEERE 2020”, Springer, , volume 709, DOI: 10.1007/978-981-15-8752-8
7. Akash Kumar Bhoi,Pradeep Kumar Mallick,Valentina E. Balas,Bhabani Shankar Prasad Mishra, “Advances in Systems, Control and Automations: Select Proceedings of ETAEERE 2020: 708 (Lecture Notes in Electrical Engineering)”, Springer, , volume 708, eBook ISBN:978-981-15-8685-9, DOI:10.1007/978-981-15-8685-9
8. Hrudaya Kumar Tripathy, Sushruta Mishra, Pradeep Kumar Mallick,Amiya Ranjan Panda, “Technical Advancements of Machine Learning in Healthcare(Studies in Computational Intelligence)”, Vol:936, DOI:10.1007/978-981-33-4698-7
9. Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayan Mohanty,Victor Hugo C. De Albuquerque, “Hybrid Artificial Intelligence and IoT in Healthcare Springer (Intelligent Systems Reference Library)”, eBook ISBN:978-981-16-2972-3,DOI:10.1007/978-981-16-2972-3.
10. Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra, “Impact of AI and Data Science in Response to Coronavirus Pandemic (Springer Algorithms for Intelligent Systems)”,eBook ISBN :978-981-16-2786-6, DOI:10.1007/978-981-16-2786-6.
11. Sasmita Rani Samant ,Pradeep Kumar Mallick,Prasant Kumar Pattnaik,J. R. Mohanty, Zdzislaw Polkowski, “Cognitive Computing for Risk Management (EAI/Springer Innovations in Communication and Computing)”, eBook ISBN:978-3-030-74517-2, DOI:10.1007/978-3-030-74517-2
B. Journal Publications:
1. Das, Abhishek, Mihir Narayan Mohanty, Pradeep Kumar Mallick, Prayag Tiwari, Khan Muhammad, and Hongyin Zhu. "Breast cancer detection using an ensemble deep learning method." Biomedical Signal Processing and Control 70 (2021): 103009.(https://doi.org/10.1016/j.bspc.2021.103009) (SCIE and SCOPUS).
2. Mishra, Sushruta, Hiren Thakkar, Pradeep Kumar Mallick, Prayag Tiwari, and Atif Alamri. "A Sustainable IoHT based Computationally Intelligent Healthcare Monitoring System for Lung Cancer Risk Detection." Sustainable Cities and Society (2021): 103079..https://doi.org/10.1016/j.scs.2021.103079 (SCIE and SCOPUS).
3. Mishra, Subhadra, Debahuti Mishra, Pradeep Kumar Mallick, Gour Hari Santra, and Sachin Kumar. "A Novel Borda Count based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction." Informatica 45, no. 1 (2021). (Scopus)
4. Sushruta Mishra, Pradeep K Mallick, Hrudaya K Tripathy, Lambodar Jena, Gyoo-Soo Chae. Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations.The International Journal of Electrical Engineering & Education(2021). https://doi.org/10.1177/0020720921989015.(SCIE and SCOPUS).
5. Soumya Ranjan Nayak, S Sivakumar, Akash Kumar Bhoi, Gyoo-Soo Chae, Pradeep Kumar Mallick .Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining.International Journal of Electrical Engineering & Education(2021). https://doi.org/10.1177/0020720920988494 (SCIE and SCOPUS).
6. Sandeep Kumar Satapathy, Shruti Mishra, Pradeep Kumar Mallick & Gyoo-Soo Chae. ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal. Pers Ubiquit Comput (2021). https://doi.org/10.1007/s00779-021-01533-4 (SCIE and SCOPUS)
7. Kappala Vinod Kiran, Subhanesh Perinbaraj, Jayashree Pradhan, Pradeep Kumar Mallick, Ashok Kumar Turuk, Santos Kumar Das. Machine learning aided switching scheme for hybrid FSO/RF transmission. Intelligent Decision Technologies (2021)., vol. 14, no. 4, pp. 529-536, 2020. ( SCOPUS).
8. Mallick, P.K., Mishra, S. & Chae, G.S. Digital media news categorization using Bernoulli document model for web content convergence. Personal and Ubiquitous Computing (2020). https://doi.org/10.1007/s00779-020-01461-9 . (SCIE and SCOPUS) issn: 1617-4909
9. Pradeep Kumar Mallick, Saumendra Kumar Mohapatra, Gyoo-Soo Chae & Mihir Narayan Mohanty, “Convergent learning–based model for leukemia classification from gene expression”, Personal and Ubiquitous Computing (2020),P.1-8. (https://doi.org/10.1007/s00779-020-01467-3). (SCIE and SCOPUS)
10. Mishra, S., Tripathy, H.K., Mallick, P.K., Bhoi, A.K. and Barsocchi, P., 2020. EAGA-MLP—An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis. Sensors, 20(14), p.4036..(SCIE and SCOPUS)
11. Sushruta Mishra, Pradeep Kumar Mallick, Lambodar Jena and Gyoo Soo Chae. "Optimization of Skewed Data using Sampling Based Pre-processing Approach." Frontiers in Public Health 8 (2020): 274.(https://doi.org/10.3389/fpubh.2020.00274) (SCIE and SCOPUS)
12. Annapareddy VN Reddy, Ch Phani Krishna, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Prayag Tiwari, Mikhail Zymbler, Sachin Kumar, “Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks”, Journal of Big Data (springer),Volume-7, Issue-35, PP. 1-17, 2020.( Scopus.)
C. Book Chapter Publication:
1. Mohapatra S.K., Mallick P.K., Mohanty M.N. (2021) Big Data Application in Health Care: A Study. In: Tripathy H.K., Mishra S., Mallick P.K., Panda A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_2
2. Panda N., Satapathy S.K., Mishra S., Mallick P.K. (2021) Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease. In: Tripathy H.K., Mishra S., Mallick P.K., Panda A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_4
3. Mishra S., Mallick P.K., Koner D. (2021) Significance of IoT in the Agricultural Sector. In: Gupta D., Hugo C. de Albuquerque V., Khanna A., Mehta P.L. (eds) Smart Sensors for Industrial Internet of Things. Internet of Things (Technology, Communications and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-52624-5_12
4. Patitapaban Rath, Rajesh Siddavatam, Pradeep Kumar Mallick. (2021) Feature Edge-Detail Preservation of Random-Valued Impulse Noise in Images. In:Dr. Mithun Chakraborty, Dr. Raman Kr. Jha, Dr. Valentina Emilia Balas, Dr. Samarendra Nath Sur, Dr. Debdatta Kandar (eds.) Trends in Wireless Communication and Information Security Proceedings of EWCIS 20202.Lecture Notes in Electrical Engineering, Springer, Singapore. https://doi.org/10.1007/978-981-33-6393-9_15
5. Mondal S., Tripathy H.K., Mishra S., Mallick P.K. (2021) Perspective Analysis of Anti-aging Products Using Voting-Based Ensemble Technique. In: Bhoi A.K., Mallick P.K., Balas V.E., Mishra B.S.P. (eds) Advances in Systems, Control and Automations. Lecture Notes in Electrical Engineering, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-15-8685-9_22
6. Zeibo J., Mishra M.K., Panda A.R., Mishra B.S.P., Mallick P.K. (2021) Pedestrian Trajectory Prediction in Crowd Scene Using Deep Neural Networks. In: Priyadarshi N., Padmanaban S., Ghadai R.K., Panda A.R., Patel R. (eds) Advances in Power Systems and Energy Management. ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 690. Springer, Singapore. https://doi.org/10.1007/978-981-15-7504-4_27
7. Mallick P.K., Satapathy S.K., Mishra S., Panda A.R., Mishra D. (2021) Feature Selection and Classification for Microarray Data Using ACO-FLANN Framework. In: Mishra D., Buyya R., Mohapatra P., Patnaik S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_53
8. Mohanty R., Solanki S.S., Mallick P.K., Pani S.K. (2021) A Classification Model Based on an Adaptive Neuro-fuzzy Inference System for Disease Prediction. In: Bhoi A., Mallick P., Liu CM., Balas V. (eds) Bio-inspired Neurocomputing. Studies in Computational Intelligence, vol 903. Springer, Singapore. https://doi.org/10.1007/978-981-15-5495-7_7.
9. Pattnaik P.P., Padhy S.R., Mishra B.S.P., Mishra S., Mallick P.K. (2021) Heart Disease Prediction Using Machine Learning Technique. In: Mallick P.K., Bhoi A.K., Chae GS., Kalita K. (eds) Advances in Electronics, Communication and Computing. Lecture Notes in Electrical Engineering, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-15-8752-8_20
10. Rohit Halder, Rajdeep Chatterjee, Debarshi Kumar Sanyal and Pradeep Kumar Mallick,Deep Learning-Based Smart Attendance Monitoring System, Proceedings of the Global AI Congress 2019(Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore) , pp 101-115 ,2020.(https://doi.org/10.1007/978-981-15-2188-1_9)
D. Conference Paper Publication:
1. Nallapaneni Manoj Kumar, Sonali Goel, Pradeep Kumar Mallick, “Smart Cities in India: Features, Policies, Current Status, and Challenges” , IEEE International Conference on Technologies for Smart-City Energy Security and Power (ICSESP 2018), C. V. Raman College of Engineering, Bhubaneswar, March 28-30, 2018., Electronic ISBN: 978-1-5386-4581-9, DOI: 10.1109/ICSESP.2018.8376669. ( Scopus Index).
2. Nallapaneni Manoj Kumar, Pradeep Kumar Mallick, “Blockchain technology for security issues and challenges in IoT”, International Conference on Computational Intelligence and Data Science (ICCIDS 2018) , The NorthCap University, Gurugram, 7-8th April, 2018. (Elsevier Procedia Computer Science Journal).
3. Nallapaneni Manoj Kumar, Pradeep Kumar Mallick,” The Internet of Things: Insights into the building blocks, component interactions, and architecture layers”, International Conference on Computational Intelligence and Data Science (ICCIDS 2018) , The NorthCap University, Gurugram,7-8th April, 2018. (Elsevier Procedia Computer Science Journal).
E. Patent Publication:
1. Foreign Patent:
1. Machine Learning-Based Smart Workout Mirror and Method Thereof, Application No: 2020102642, Filling Date:08.10.2020, Granted Date: 06.11.2020 .[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102642)
2. Machine Learning And IOT -Based Smart Self Adjusting Potty Seat, Application No: 2020102473, Application date: 28/09/2020,mGranted Date: 28.10.2020. [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102473)
3. Machine Learning and IOT Based Autonomous Car Jack, Patent No: 2021100050,Application Date: 06.01.2021, Grant Date: 10.03.2021.[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2021100050)
4. IoT and Machine Learning-Based Student Management System, Patent No: 2020103765, Application Date: 29.11.2020 Grant Date: 03.03.2021 . [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103765)
5. Machine Learning Based Plant Growth Moderator, Patent No: 2020103563, Application Date: 19.11.2020 Grant Date:20.01.2021 . [Granted] ( http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103563)
2. Indian Patent :
1) A Device for Easing the Anxiety of a User, Application No:202031002202, Filling Date:17.01.2020, Publication Date: 07.02.2020, Field: Biomedical Engineering
2) A Medicine Recommendation System, Application No: 2020310300072A, Filling Date:15.07.2020, Publication Date: 14.08.2020
3) Low-Cost Public Transport Disinfection and Sterilization System,Application No: 202041034076A, Filling Date:08.08.2020, Publication Date: 04.09.2020
4) Machine Learning Based Ball Throwing Machine,Application No: 202041040702, Filling Date:21.09.2020, Publication Date: 02.10.2020
Books :
Text Book:
1.Pradeep Kumar Mallick “Programming in C”, published by Laxmi Publication, New Delhi.ISBN:978-93-80856-42-1,First Edition 2011.
Edited Book:
1.Pradeep Kumar Mallick, "" Research Advances in the Integration of Big Data and Smart computing, Published by IGI Global, 701 E. Chocolate Ave, Hershey, PA 17033, USA , ISBN13: 9781466687370, EISBN13: 9781466687387, October, 2015
2.Pradeep Kumar Mallick, Samarjeet Borah “Emerging Trends and Applications in Cognitive Computing (Advances in Computational Intelligence and Robotics”, IGI Global, USA, ISBN13: 9781522557937|ISBN10: 1522557938, December 2018 .
3.Pradeep Kumar Mallick,S.Patnaik, D.Mishra “Machine Learning Technique for Pattern Discovery- Gene Expressions”, LAP LAMBERT Academic Publishing, Germany, ISBN: 978-620-2-00637-8, 2017.
4.Pradeep Kumar Mallick ,Valentina Emilia Balas,Akash Kumar Bhoi,Ahmed F. Zobaa, “Cognitive Informatics and Soft Computing”, Springer Publisher, ISBN: 978-981-13-0616-7, eBook ISBN:978-981-13-0617-4, Series ISSN :2194-5357, DOI
10.1007/978-981-13-0617-4
5.Akash Kumar Bhoi, Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina Emilia Balas, Bio-inspired Neurocomputing (Studies in Computational Intelligence), (https://www.springer.com/gp/book/9789811554940#aboutAuthors).
6. Rajshree Srivastava , Pradeep Kumar Mallick, Siddharth Swarup Rautaray ,and Manjusha Pandey, Computational Intelligence for Machine Learning and Healthcare Informatics (Intelligent Biomedical Data Analysis) ,De Gruyter Publisher, ISBN-13: 978-3110647822 (https://www.degruyter.com/view/title/565456?language=en)
7.Pradeep Kumar Mallick,Prasant Patnaik,Amiya Ranjan Panda and Valentina Emilia Balas, Cognitive Computing in Human Cognition: Perspectives and Applications (Learning and Analytics in Intelligent Systems), Published by : eBook ISBN978-3-030-48118-6, DOI :10.1007/978-3-030-48118-6.
8.Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, and Margarita Favorskaya, Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision ... Analytics in Intelligent Systems Book 10), Springer Publisher, eBook ISBN 978-3-030-39033-4, DOI 10.1007/978-3-030-39033-4.
9.Pradeep Kumar Mallick ,Valentina Emilia Balas,Akash Kumar Bhoi,and Gyoo-Soo Chae, Cognitive Informatics and Soft Computing: Proceeding of CISC 2019 (Advances in Intelligent Systems and Computing Book 1040), Springer, eBook ISBN978-981-15-1451-7, DOI 10.1007/978-981-15-1451-7.
A. Book Publication :
1. Rajshree Srivastava , Pradeep Kumar Mallick, Siddharth Swarup Rautaray ,and Manjusha Pandey, Computational Intelligence for Machine Learning and Healthcare Informatics (Intelligent Biomedical Data Analysis) ,De Gruyter Publisher, ISBN-13: 978-3-11-064782-2 (https://www.degruyter.com/view/title/565456?language=en)
2. Pradeep Kumar Mallick,Prasant Patnaik,Amiya Ranjan Panda and Valentina Emilia Balas, Cognitive Computing in Human Cognition: Perspectives and Applications (Learning and Analytics in Intelligent Systems), Published by : eBook ISBN978-3-030-48118-6, DOI :10.1007/978-3-030-48118-6.
3. Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, and Margarita Favorskaya, Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision ... Analytics in Intelligent Systems Book 10), Springer Publisher, eBook ISBN 978-3-030-39033-4, DOI 10.1007/978-3-030-39033-4.
4. Pradeep Kumar Mallick ,Valentina Emilia Balas,Akash Kumar Bhoi,and Gyoo-Soo Chae, Cognitive Informatics and Soft Computing: Proceeding of CISC 2019 (Advances in Intelligent Systems and Computing Book 1040), Springer, eBook ISBN978-981-15-1451-7, DOI 10.1007/978-981-15-1451-7.
5. Pradeep Kumar Mallick, Preetisudha Meher,Alak Majumder, Santos Kumar Das, “Electronic Systems and Intelligent Computing (Lecture Notes on Electrical Engineering)”, Springer Singapore, Vol-686, eBook ISBN:978-981-15-7031-5.DOI: 10.1007/978-981-15-7031-5
6. Pradeep Kumar Mallick , Akash Kumar Bhoi , Gyoo-Soo Chae , Kanak Kalita, “Advances in Electronics, Communication and Computing: Select Proceedings of ETAEERE 2020”, Springer, , volume 709, DOI: 10.1007/978-981-15-8752-8
7. Akash Kumar Bhoi,Pradeep Kumar Mallick,Valentina E. Balas,Bhabani Shankar Prasad Mishra, “Advances in Systems, Control and Automations: Select Proceedings of ETAEERE 2020: 708 (Lecture Notes in Electrical Engineering)”, Springer, , volume 708, eBook ISBN:978-981-15-8685-9, DOI:10.1007/978-981-15-8685-9
8. Hrudaya Kumar Tripathy, Sushruta Mishra, Pradeep Kumar Mallick,Amiya Ranjan Panda, “Technical Advancements of Machine Learning in Healthcare(Studies in Computational Intelligence)”, Vol:936, DOI:10.1007/978-981-33-4698-7
9. Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayan Mohanty,Victor Hugo C. De Albuquerque, “Hybrid Artificial Intelligence and IoT in Healthcare Springer (Intelligent Systems Reference Library)”, eBook ISBN:978-981-16-2972-3,DOI:10.1007/978-981-16-2972-3.
10. Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra, “Impact of AI and Data Science in Response to Coronavirus Pandemic (Springer Algorithms for Intelligent Systems)”,eBook ISBN :978-981-16-2786-6, DOI:10.1007/978-981-16-2786-6.
11. Sasmita Rani Samant ,Pradeep Kumar Mallick,Prasant Kumar Pattnaik,J. R. Mohanty, Zdzislaw Polkowski, “Cognitive Computing for Risk Management (EAI/Springer Innovations in Communication and Computing)”, eBook ISBN:978-3-030-74517-2, DOI:10.1007/978-3-030-74517-2
B. Journal Publications:
1. Das, Abhishek, Mihir Narayan Mohanty, Pradeep Kumar Mallick, Prayag Tiwari, Khan Muhammad, and Hongyin Zhu. "Breast cancer detection using an ensemble deep learning method." Biomedical Signal Processing and Control 70 (2021): 103009.(https://doi.org/10.1016/j.bspc.2021.103009) (SCIE and SCOPUS).
2. Mishra, Sushruta, Hiren Thakkar, Pradeep Kumar Mallick, Prayag Tiwari, and Atif Alamri. "A Sustainable IoHT based Computationally Intelligent Healthcare Monitoring System for Lung Cancer Risk Detection." Sustainable Cities and Society (2021): 103079..https://doi.org/10.1016/j.scs.2021.103079 (SCIE and SCOPUS).
3. Mishra, Subhadra, Debahuti Mishra, Pradeep Kumar Mallick, Gour Hari Santra, and Sachin Kumar. "A Novel Borda Count based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction." Informatica 45, no. 1 (2021). (Scopus)
4. Sushruta Mishra, Pradeep K Mallick, Hrudaya K Tripathy, Lambodar Jena, Gyoo-Soo Chae. Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations.The International Journal of Electrical Engineering & Education(2021). https://doi.org/10.1177/0020720921989015.(SCIE and SCOPUS).
5. Soumya Ranjan Nayak, S Sivakumar, Akash Kumar Bhoi, Gyoo-Soo Chae, Pradeep Kumar Mallick .Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining.International Journal of Electrical Engineering & Education(2021). https://doi.org/10.1177/0020720920988494 (SCIE and SCOPUS).
6. Sandeep Kumar Satapathy, Shruti Mishra, Pradeep Kumar Mallick & Gyoo-Soo Chae. ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal. Pers Ubiquit Comput (2021). https://doi.org/10.1007/s00779-021-01533-4 (SCIE and SCOPUS)
7. Kappala Vinod Kiran, Subhanesh Perinbaraj, Jayashree Pradhan, Pradeep Kumar Mallick, Ashok Kumar Turuk, Santos Kumar Das. Machine learning aided switching scheme for hybrid FSO/RF transmission. Intelligent Decision Technologies (2021)., vol. 14, no. 4, pp. 529-536, 2020. ( SCOPUS).
8. Mallick, P.K., Mishra, S. & Chae, G.S. Digital media news categorization using Bernoulli document model for web content convergence. Personal and Ubiquitous Computing (2020). https://doi.org/10.1007/s00779-020-01461-9 . (SCIE and SCOPUS) issn: 1617-4909
9. Pradeep Kumar Mallick, Saumendra Kumar Mohapatra, Gyoo-Soo Chae & Mihir Narayan Mohanty, “Convergent learning–based model for leukemia classification from gene expression”, Personal and Ubiquitous Computing (2020),P.1-8. (https://doi.org/10.1007/s00779-020-01467-3). (SCIE and SCOPUS)
10. Mishra, S., Tripathy, H.K., Mallick, P.K., Bhoi, A.K. and Barsocchi, P., 2020. EAGA-MLP—An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis. Sensors, 20(14), p.4036..(SCIE and SCOPUS)
11. Sushruta Mishra, Pradeep Kumar Mallick, Lambodar Jena and Gyoo Soo Chae. "Optimization of Skewed Data using Sampling Based Pre-processing Approach." Frontiers in Public Health 8 (2020): 274.(https://doi.org/10.3389/fpubh.2020.00274) (SCIE and SCOPUS)
12. Annapareddy VN Reddy, Ch Phani Krishna, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Prayag Tiwari, Mikhail Zymbler, Sachin Kumar, “Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks”, Journal of Big Data (springer),Volume-7, Issue-35, PP. 1-17, 2020.( Scopus.)
C. Book Chapter Publication:
1. Mohapatra S.K., Mallick P.K., Mohanty M.N. (2021) Big Data Application in Health Care: A Study. In: Tripathy H.K., Mishra S., Mallick P.K., Panda A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_2
2. Panda N., Satapathy S.K., Mishra S., Mallick P.K. (2021) Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease. In: Tripathy H.K., Mishra S., Mallick P.K., Panda A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_4
3. Mishra S., Mallick P.K., Koner D. (2021) Significance of IoT in the Agricultural Sector. In: Gupta D., Hugo C. de Albuquerque V., Khanna A., Mehta P.L. (eds) Smart Sensors for Industrial Internet of Things. Internet of Things (Technology, Communications and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-52624-5_12
4. Patitapaban Rath, Rajesh Siddavatam, Pradeep Kumar Mallick. (2021) Feature Edge-Detail Preservation of Random-Valued Impulse Noise in Images. In:Dr. Mithun Chakraborty, Dr. Raman Kr. Jha, Dr. Valentina Emilia Balas, Dr. Samarendra Nath Sur, Dr. Debdatta Kandar (eds.) Trends in Wireless Communication and Information Security Proceedings of EWCIS 20202.Lecture Notes in Electrical Engineering, Springer, Singapore. https://doi.org/10.1007/978-981-33-6393-9_15
5. Mondal S., Tripathy H.K., Mishra S., Mallick P.K. (2021) Perspective Analysis of Anti-aging Products Using Voting-Based Ensemble Technique. In: Bhoi A.K., Mallick P.K., Balas V.E., Mishra B.S.P. (eds) Advances in Systems, Control and Automations. Lecture Notes in Electrical Engineering, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-15-8685-9_22
6. Zeibo J., Mishra M.K., Panda A.R., Mishra B.S.P., Mallick P.K. (2021) Pedestrian Trajectory Prediction in Crowd Scene Using Deep Neural Networks. In: Priyadarshi N., Padmanaban S., Ghadai R.K., Panda A.R., Patel R. (eds) Advances in Power Systems and Energy Management. ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 690. Springer, Singapore. https://doi.org/10.1007/978-981-15-7504-4_27
7. Mallick P.K., Satapathy S.K., Mishra S., Panda A.R., Mishra D. (2021) Feature Selection and Classification for Microarray Data Using ACO-FLANN Framework. In: Mishra D., Buyya R., Mohapatra P., Patnaik S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_53
8. Mohanty R., Solanki S.S., Mallick P.K., Pani S.K. (2021) A Classification Model Based on an Adaptive Neuro-fuzzy Inference System for Disease Prediction. In: Bhoi A., Mallick P., Liu CM., Balas V. (eds) Bio-inspired Neurocomputing. Studies in Computational Intelligence, vol 903. Springer, Singapore. https://doi.org/10.1007/978-981-15-5495-7_7.
9. Pattnaik P.P., Padhy S.R., Mishra B.S.P., Mishra S., Mallick P.K. (2021) Heart Disease Prediction Using Machine Learning Technique. In: Mallick P.K., Bhoi A.K., Chae GS., Kalita K. (eds) Advances in Electronics, Communication and Computing. Lecture Notes in Electrical Engineering, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-15-8752-8_20
10. Rohit Halder, Rajdeep Chatterjee, Debarshi Kumar Sanyal and Pradeep Kumar Mallick,Deep Learning-Based Smart Attendance Monitoring System, Proceedings of the Global AI Congress 2019(Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore) , pp 101-115 ,2020.(https://doi.org/10.1007/978-981-15-2188-1_9)
D. Conference Paper Publication:
1. Nallapaneni Manoj Kumar, Sonali Goel, Pradeep Kumar Mallick, “Smart Cities in India: Features, Policies, Current Status, and Challenges” , IEEE International Conference on Technologies for Smart-City Energy Security and Power (ICSESP 2018), C. V. Raman College of Engineering, Bhubaneswar, March 28-30, 2018., Electronic ISBN: 978-1-5386-4581-9, DOI: 10.1109/ICSESP.2018.8376669. ( Scopus Index).
2. Nallapaneni Manoj Kumar, Pradeep Kumar Mallick, “Blockchain technology for security issues and challenges in IoT”, International Conference on Computational Intelligence and Data Science (ICCIDS 2018) , The NorthCap University, Gurugram, 7-8th April, 2018. (Elsevier Procedia Computer Science Journal).
3. Nallapaneni Manoj Kumar, Pradeep Kumar Mallick,” The Internet of Things: Insights into the building blocks, component interactions, and architecture layers”, International Conference on Computational Intelligence and Data Science (ICCIDS 2018) , The NorthCap University, Gurugram,7-8th April, 2018. (Elsevier Procedia Computer Science Journal).
E. Patent Publication:
1. Foreign Patent:
1. Machine Learning-Based Smart Workout Mirror and Method Thereof, Application No: 2020102642, Filling Date:08.10.2020, Granted Date: 06.11.2020 .[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102642)
2. Machine Learning And IOT -Based Smart Self Adjusting Potty Seat, Application No: 2020102473, Application date: 28/09/2020,mGranted Date: 28.10.2020. [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020102473)
3. Machine Learning and IOT Based Autonomous Car Jack, Patent No: 2021100050,Application Date: 06.01.2021, Grant Date: 10.03.2021.[Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2021100050)
4. IoT and Machine Learning-Based Student Management System, Patent No: 2020103765, Application Date: 29.11.2020 Grant Date: 03.03.2021 . [Granted] (http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103765)
5. Machine Learning Based Plant Growth Moderator, Patent No: 2020103563, Application Date: 19.11.2020 Grant Date:20.01.2021 . [Granted] ( http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do?applicationNo=2020103563)
2. Indian Patent :
1) A Device for Easing the Anxiety of a User, Application No:202031002202, Filling Date:17.01.2020, Publication Date: 07.02.2020, Field: Biomedical Engineering
2) A Medicine Recommendation System, Application No: 2020310300072A, Filling Date:15.07.2020, Publication Date: 14.08.2020
3) Low-Cost Public Transport Disinfection and Sterilization System,Application No: 202041034076A, Filling Date:08.08.2020, Publication Date: 04.09.2020
4) Machine Learning Based Ball Throwing Machine,Application No: 202041040702, Filling Date:21.09.2020, Publication Date: 02.10.2020
Books :
Text Book:
1.Pradeep Kumar Mallick “Programming in C”, published by Laxmi Publication, New Delhi.ISBN:978-93-80856-42-1,First Edition 2011.
Edited Book:
1.Pradeep Kumar Mallick, "" Research Advances in the Integration of Big Data and Smart computing, Published by IGI Global, 701 E. Chocolate Ave, Hershey, PA 17033, USA , ISBN13: 9781466687370, EISBN13: 9781466687387, October, 2015
2.Pradeep Kumar Mallick, Samarjeet Borah “Emerging Trends and Applications in Cognitive Computing (Advances in Computational Intelligence and Robotics”, IGI Global, USA, ISBN13: 9781522557937|ISBN10: 1522557938, December 2018 .
3.Pradeep Kumar Mallick,S.Patnaik, D.Mishra “Machine Learning Technique for Pattern Discovery- Gene Expressions”, LAP LAMBERT Academic Publishing, Germany, ISBN: 978-620-2-00637-8, 2017.
4.Pradeep Kumar Mallick ,Valentina Emilia Balas,Akash Kumar Bhoi,Ahmed F. Zobaa, “Cognitive Informatics and Soft Computing”, Springer Publisher, ISBN: 978-981-13-0616-7, eBook ISBN:978-981-13-0617-4, Series ISSN :2194-5357, DOI
10.1007/978-981-13-0617-4
5.Akash Kumar Bhoi, Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina Emilia Balas, Bio-inspired Neurocomputing (Studies in Computational Intelligence), (https://www.springer.com/gp/book/9789811554940#aboutAuthors).
6. Rajshree Srivastava , Pradeep Kumar Mallick, Siddharth Swarup Rautaray ,and Manjusha Pandey, Computational Intelligence for Machine Learning and Healthcare Informatics (Intelligent Biomedical Data Analysis) ,De Gruyter Publisher, ISBN-13: 978-3110647822 (https://www.degruyter.com/view/title/565456?language=en)
7.Pradeep Kumar Mallick,Prasant Patnaik,Amiya Ranjan Panda and Valentina Emilia Balas, Cognitive Computing in Human Cognition: Perspectives and Applications (Learning and Analytics in Intelligent Systems), Published by : eBook ISBN978-3-030-48118-6, DOI :10.1007/978-3-030-48118-6.
8.Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, and Margarita Favorskaya, Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision ... Analytics in Intelligent Systems Book 10), Springer Publisher, eBook ISBN 978-3-030-39033-4, DOI 10.1007/978-3-030-39033-4.
9.Pradeep Kumar Mallick ,Valentina Emilia Balas,Akash Kumar Bhoi,and Gyoo-Soo Chae, Cognitive Informatics and Soft Computing: Proceeding of CISC 2019 (Advances in Intelligent Systems and Computing Book 1040), Springer, eBook ISBN978-981-15-1451-7, DOI 10.1007/978-981-15-1451-7.