Dr. Pankaj Agarwal

Professor & Dean- SOET

Interest Area(s)

Data Science & Machine Learning (with Python & R programming)Design & Analysis of Algorithms.AI & Soft Computing TechniquesData Analytics with Tableau & KNIME AnalyticsDeep Learning & Computer VisionNatural Language ProcessingBioinformatics

Dr. Agarwal completed his Ph.D in Computer Science from Jamia Millia Islamia Central University, Delhi in the year 2009. Currently he is associated as Professor & Dean (Engineering) at K.R Mangalam University, Gurugram. He served as Professor & Head of Computer Science & Engineering department with IMS Engineering College Ghaziabad for 12 years.

He has a rich teaching experience of more than 21 years in reputed engineering institutions of NCR and research experience of more than 15 years. He has more than 45 research publications in international journals/conferences to his credit. He has 7 research patents to his credit including Australian, German & Indian patent.

His areas of interest & research includes Data Science & Machine Learning algorithms, Algorithms Design & Analysis, Data Analytics, Soft computing Techniques, with hands on experience in ML, NLP, Computer Vision & Deep Learning with Python Programming, Tableau, KNIME etc.

He is an IBM certified data Science Professional & Microsoft certified Programmer. He has been associated as consultant & trainer with Ureka International Learning, Oxford, U.K. He has trained international students on ML & data analytics practical courses. He has also served as a guest faculty at BITS, Pilani and Great Learning.

Dr. Pankaj has published books on subjects including Design & Analysis of Algorithms, Microsoft.Net, Software Project Management, Information Security, RDBMS, C Programming etc. Five scholars have completed their Ph.D work under his supervision. Five students have completed their Ph.D work under his supervision and more than 30 students completed their MS/M.Tech thesis work under his supervision.

Ph.D (Computer Science) from Jamia Millia islamia Central University, New Delhi in 2009.
M.Tech Computer Science & Engineering from Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad in 2006.
M.Sc Computer Science from Jiwaji University, Gwalior in 2000.
B.Sc Electronics & Computer Science from Jiwaji University in 1998.
10+2 from Army Public School, Bengdubi, Dist Darjeeling, West Bengal in 1994.

Additional:

Microsoft Certified Programmer (2002)
IBM Certified Data Science Professional Certification (2021)

Worked as Professor with Northcap University in the department of Computer Science & Engineering from July 2021 to July 2022.
Worked as Guest faculty (part time) with BITS Pilani during 2021-22
Worked as Professor & Head, Department of Computer Science & Engineering, IMS Engineering College, Ghaziabad, U.P India from 14 July 2009 to 15th July 2021.
Worked as Associate Professor/Assistant Professor with KIET & RKGIT, Ghaziabad affiliated through UP Technical University, Lucknow from 2002 to 2009.
Worked as software developer at Basenet Solutions & KCC Pvt Ltd, Delhi from 2000 to 2002.

More than 60 research publications with interest in domains of Computational Biology, Healthcare etc using Machine learning, soft computing & Deep learning technologies. 12 patents including Australian, South African, UK, German & Indian. Supervised 5 research scholars & 4 under process. Completed one funded research project as PI. Supervised more than 100 industry professionals from BITS Pilani & Great Learning as project mentor.

FUNDED RESEARCH PROJECT

Completed Research project with Grant of Rs. 485000 from AKTU, Lucknow for project “Multipurpose Drone“, 2017-2020 under Visvesvaraya research scheme as principal investigator.
Project Titled “Online Blockchain based certificate generation and validation system for government organization” under my mentor ship won the Smart India Hackathon Competition 2023 held at Manipal University, Jaipur during 19-20 Dec 2023. Our project won the prize money of Rs 100000. Received a letter of appreciation for mentorship.
Bestowed with top 100 Influential Educationist in Indian Education at Indian Education Awards 2023 function.
Got ‘Best Administrator’ award by K.R Mangalam University for the session 2022-23 on Teachers Day 2023.
Bestowed with Academic Excellence Award 2022 by InSc Institute of Scholars.
Bestowed with IRSD Preeminent Academic Leader Award 2022 during the 8th International Conference on Interdisciplinary Research for Sustainable Development 2022 (IRSD 2022) organized by Green ThinkerZ, India in association with International Institute of organized Research (I2OR)
Bestowed with Distinguished Professor Award by Novel Research Academy, on 18th Nov 2022. Novel Research Academy is an autonomous research institute functioning through a division of New Swertia Publications and is a registered enterprise under the Government of India. Registered under the Ministry of MSME, Government of India.
Honored with ‘Best Researcher in Artificial Intelligence Award’ conferred at Gurukul Academic Award function in Nov 2022
Bestowed with Top 10 Educators of the Year 2021-22 instituted by the International Institute of organized Research, registered under MSME, Govt. of India.
Funded research project “Batwing-Multipurpose drone” from AKTU Lucknow. My role: principal investigator. Project completed in 2020.

PROFESSIONAL /CORPORATE TRAINING:

Trained more than 100 Professionals/Students across the world on technologies like Data Science/Machine Learning/Deep Learning/Tableau/KNIME/Computer Vision/Design & Analysis of Algorithms/Competitive Coding/ Python/R/Matlab/C++ etc.
Have trained industry professionals on data science at BITS Pilani as Guest faculty.
Corporate training to Engineers at CDAC Noida in 2002 & 2003 on VB+Oracle

PATENTS

Pankaj Agarwal et. al; “An Impaired Voice Correction Device and its Method Thereof”, Application Number: 2021105188, published on 27/10/2021 (Australian Patent)
Pankaj Agarwal et. al; “Collective Movement Prediction and Learning Model for Team Sports”, Application Number: 202141042396 (Indian Patent), Status: Published, Publication date: 29/10/2021(Indian Patent)
Pankaj Agarwal et. al; “Intelligent System for Management of Healthcare Recourses in Hospital Using Data Mining & Machine Learning”, Application Number: 202111051627 (Indian Patent), Status: Published, Publication date: 19/11/2021(Indian Patent)
Pankaj Agarwal et. al; “A Smart Nervous System and a Method Based on Artificial Intelligence and Machine Learning to Assist Paralyzed People”, Application Number: 202111053267 (Indian Patent), Status: Published on 26/11/2021
Pankaj Agarwal et. al; “Smart Shoe for Blind People to Detect Obstacles Using Internet of Things & Artificial Intelligence”, Application Number: 202121048446 (Indian Patent), Status: Published: 3/12/2021
Pankaj Agarwal et. al; A resource discovery mechanism in a 3-d cartesian coordinate system for enhancing search efficiency; Application Number: 2021106680; Australian Patent, Published on 8 Dec 2021
Pankaj Agarwal et. al ; “Intelligent Noise Detection System Based on Artificial Intelligence Processing Multiple Sounds”; Application Number: 20 2022 101 069.2, Published on : 23-3-2022(German Patent)

BOOKS PUBLISHED

Pankaj Agarwal, S.M Rizvi ,“Algorithm: Analysis, Design & implementation”, Publisher: Anshan, Ltd, ISBN: 9781848290228
Pankaj Agarwal, S.M Rizvi, “Principles of Software Project Management”, Khhana publications, New Delhi, ISBN: 978-93-80016-02-3
Pankaj Agarwal, “Information Security & Cyber laws”, Acme Learning, Delhi,2010 (ISBN: 978-93-80408-38-5)
Pankaj Agarwal, “Principles of .NET Framework”, Vayu Publications, New Delhi.ISBN: 978-81-908040-28
Pankaj Agarwal, “Computer Organization”, Vayu Education, New Delhi, ISBN: 9788190804097
Pankaj Agarwal ,“Relational Database Management Systems”, Vayu Publications, New Delhi.
Pankaj Agarwal, “ C Programming”, Vayu Publications, New Delhi

MOOC COURSES DEVELOPED

Developed & recorded four lecture sessions on “Design & Analysis of Algorithms”. Available at youtube

Motivation & Introduction to Algorithms https://youtu.be/Q_F9RM7SGpU
Asymptotic Analysis of Algorithms https://youtu.be/shj2i9dfZGY
Time & Space Complexity of Algorithms https://youtu.be/Y1s1FFQu4IY
Recurrences https://youtu.be/Bm0Td3r7Pdg

Pankaj Agarwal et.al ; An Effect of Stacked CNN for Network Intrusion Detection System; ICIMMI ’22: Proceedings of the 4th International Conference on Information Management & Machine Intelligence; Article No.: 64; Pages 1–9, Indexed in ACM Digital Library, 2023; https://doi.org/10.1145/3590837.3590901
Pankaj Agarwal et al. , Machine Learning-based Cloud Optimization System, Computer Science Engineering and Emerging Technologies, Proceedings of ICCS 2022(International Conference On Computational Science), Chapter 11, Taylor & Francis Group, London, CRC press, ISBN 978-1-032-52199-2, 2023.
Pankaj Agarwal et al. , Reverse and inverse engineering using machine and deep learning: Futuristic opportunities and applications; Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Gr. Noida, UP, India, 24 – 25 February 2023, CRC Press,Taylor & Fransis, Volume 1; https://doi.org/10.1201/9781003393580
Yadav, Sapna and Pankaj Agarwal, Predictive Model for Analyzing PM 2.5 Level Of Air (March 28, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at:SSRN: https://ssrn.com/abstract=3562955 or http://dx.doi.org/10.2139/ssrn.3562955
Pankaj Agarwal, Mukesh Singh, “A multipurpose drone for water sampling & video surveillance”, Second IEEE International Conference on Advanced Computational and Communication Paradigms, Sikkim (2019). IEEE e-explore ref (https://ieeexplore.ieee.org/document/8883017)
Agarwal S., Singh V., Agarwal P., Rani A. (2019) Prediction of Secondary Structure of Proteins Using Sliding Window and Backpropagation Algorithm. In: Malik H., Srivastava S., Sood Y., Ahmad A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_50
Abhijeet Sekhon and Pankaj Agarwal; Face recognition using back propagation neural network technique’; Paper also appears in IEEE X-Plore through ICACEA-2015
Nikita Garg & Pankaj Agarwal; Recent Advancements in Requirement Elicitation & Prioritization Techniques” at IEEE Co-Sponsored International Conference on Advances in Computer Engineering and Applications ICACEA-15 at IMS Engineering College on 19-20 March 2015.
Pankaj Agarwal et. al; “New Genetic Algorithm for Multiple Sequence Alignment Problem”; published in Third International Conference on Advances in Communication, Network, and Computing – CNC 2012, The Proceedings published by Springer, Berlin Heidelberg and available in the Springer Digital Library; Print ISBN: 978-3-642-35614-8; Series ISSN: 1867-8211; pp 437-443 (2012)
Avdhesh Gupta & Pankaj Agarwal; “Minimizing the Makespan and Economic Cost of Schedule for the Grid Applications”, Artificial Intelligence and Soft Computing (AISC 2012),co-sponsored by IEEE, UP chapter, IIT-BHU
Pankaj Agarwal and S.A.M. Rizvi;”A New Hash-Based Search Technique for Finding Patterns in Molecular Sequences”; Proceedings of First International Conference on information systems, Technology and Management, pp. 57-61, ISBN: 81-8424-182-8, New Delhi, India (2007).
Pankaj Agarwal and S.A.M. Rizvi,” Solving Planted Motif Problem: A New Approach”; published at 15th IEEE International Conference on advanced computing and communication, published by IEEE Computer Society, pp. 382-386, ISBN:0-7695-3050-8, Organized by IIT Guwahati, India, December (2007). Paper also appears in IEEE X-Plore.
Pankaj Agarwal and S.A.M. Rizvi; A time efficient algorithm for finding longest common subsequence from two molecular sequences; Bioengineering Conference, 2007. NEBC ’07. IEEE 33rd Annual Northeast; Stony Brook University, New York, USA; Paper also appears in IEEE X-Plore.
Pankaj Agarwal and S.A.M. Rizvi;”A New Bucket-Based Algorithm for Finding LCS from Two Given Molecular Sequences”; IEEE Proceedings in 4th IEEE International Conference of Information and Technology, published by IEEE Computer Society, Vol. II, , pp. 560-562, ISBN:0-7695-2497-4, Las Vegas, USA (April 10-12, 2006);
Pankaj Agarwal and S.A.M. Rizvi, ”A New Index-Based Parallel Algorithm for finding Longest Common Subsequence in Multiple DNA Sequences”; Proceedings of 7th International Conference on Cognitive Systems, New Delhi, India (2005).
Pankaj Agarwal and S.A.M. Rizvi,” A Technique Based on Neural Network for Predicting the Secondary Structure of Proteins “; published at IEEE International Conference on Computational Intelligence & Multimidea Applications, published by IEEE Computer Society, Vol. II, pp. 517-522, ISBN:0-7695-3059-1, Sivakasi, India, December (2007). Paper also appears in IEEE X-Plore.
Pankaj Agarwal and S.A.M. Rizvi; ” A Neural Network For Predicting The Secondary Structure Of Proteins From Amino Acid Sequences” ; Proceedings of International Conference on Bioinformatics, JNU, New Delhi, India (2006);
Pankaj Agarwal and S.A.M. Rizvi, ”Prediction of Secondary Structure of Proteins Using an Artificial Intelligence Technique: The Nearest Neighbor Strategy”; Proceedings of International Conference on Bioinformatics, New Delhi, India (2006);
Akash Yadav, Diksha, Pankaj Agarwal; “IPC Crime Rate Prediction Using Tableau”; 12th International Conference on Advances in Computer Engineering-ACE 2022; Grenze Scientific Society .

Agarwal, P. (2024). “Synthetic Financial Datasets for Fraud Detection: Exploring Robust Models and Techniques to Tackle Cloud and Mobile Computing Challenges.” Scope Journal, 14. Scopus Indexed.
Agarwal, P., et al. (2024). “Organization-Wide Continuous Learning (OWCL): Personalized AI Chatbots for Effective Post-Training Knowledge Retention.” Journal of Electrical Systems, 20(2). Scopus Indexed. DOI: 10.52783/jes.2030.
Agarwal, P., et al. (2024). “Towards Seamless Air Travel: Developing a Next-Generation Flight Booking Assistant.” Journal of Electrical Systems, 20(2). Scopus Indexed. DOI: 10.52783/jes.2028.
Agarwal, P., Yadav, S. (2024). “Deciphering Genetic Overlaps: A Comprehensive Study on Viral Host Determination Using Machine Learning and Deep Learning Models.” Journal of Advanced Zoology, 45(3), 776-788. DOI: 10.53555/jaz.v45i3.4451.
Agarwal, P., Yadav, S. (2024). “Bayesian-Based Binary Compression with Bandwidth Optimization for UAV Aerial Images.” International Journal of Engineering Systems Modelling and Simulation, 15(2), 53-62. Inderscience. Scopus, Emerging Sources Citation Index. DOI: 10.1504/IJESMS.2024.136971.
Agarwal, P., et al. (2023). “Realtime Crop Field Monitoring System Using IoT.” International Journal of Nanotechnology, Inderscience. SCIE, Scopus, Web of Science. DOI: 10.1504/IJNT.2023.134016.
Agarwal, P., et al. (2024). “An Impact of Deep Learning and Machine Learning Technologies in Image Processing.” International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1498-1502. Scopus Indexed. DOI: https://ijisae.org/index.php/IJISAE/article/view/5621.
Yadav, S., Rizvi, S.A.M., Agarwal, P. (2024). “Detection of Lung Diseases for Pneumonia, Tuberculosis, and COVID-19 with Artificial Intelligence Tools.” S.N Computer Science, 5, 303. Springer Nature. SCIE Indexed, Scopus. DOI: 10.1007/s42979-024-02617-7.
Agarwal, P., et al. (2024). “Advancements in Plant Pests Detection: Leveraging Convolutional Neural Networks for Smart Agriculture.” Engineering Proceedings, 59. MDPI, Scopus Indexed. DOI: 10.3390/engproc2023059201.
Agarwal, P., et al. (2023). “De-noising the Image Using DBST-LCM-CLAHE: A Deep Learning Approach.” Multimedia Tools and Applications. Springer Nature. SCIE, Scopus. DOI: 10.1007/s11042-023-16016-2.
Agarwal, P., et al. (2023). “Parametric Influence of Intrusion Detection System in Healthcare Sector Using Deep Neural [LSTM] Network.” Journal of Pharmaceutical Negative Results, 14(Special Issue 1). Scopus, ESCI. DOI: 10.47750/pnr.2023.14.S01.93.
Agarwal, P. (2024). “Synthetic Financial Datasets for Fraud Detection: Exploring Robust Models and Techniques to Tackle Cloud and Mobile Computing Challenges.” Scope Journal, 14. Scopus Indexed.
Agarwal, P. et al. (2022). “Seizure Prediction and Detection Using Integrated Learning Algorithms from Multi-Source Data.” Computational and Mathematical Methods in Medicine. Hindawi. Indexed in SCIE, Scopus, Web of Science.
Agarwal, P. et al. (2022). “Cyber-Internet Security Framework to Conquer Energy-Related Attacks on the Internet of Things with Machine Learning Techniques.” Computational Intelligence and Neuroscience, vol. 2022, Article ID 8803586. Wiley. SCIE, Scopus, Web of Science Indexed. DOI: 10.1155/2022/8803586.
Agarwal, P. et al. (2022). “Biomedical Application of Identified Biomarkers Gene Expression Based Early Diagnosis and Detection in Cervical Cancer with Modified Probabilistic Neural Network.” Contrast Media & Molecular Imaging, vol. 2022, Article ID 4946154. Hindawi. SCIE, Scopus, Web of Science Indexed. DOI: 10.1155/2022/4946154.
Neda, F., Agarwal, P., Yadav, S. (2021). “COVID-19 Vaccination Progress in India and its Neighbors.” International Journal of Current Research and Review, 13(23), 108-112. DOI: 10.31782/IJCRR.2021.132318. Indexed in Indian Citation Indexed, Scopus Indexed (until Dec 2021).
Yadav, S., Agarwal, P., Rizvi, S.M. (2021). “Applying Machine Learning for Prediction of Future Strains of Influenza-A Virus.” Journal of Drugs and Cell Therapies in Hematology (DCTH), Italy, 10(1), 1435–1449. Available at: DCTH Issue 1. Indexed in ESCI, Web of Science.
Agarwal, P., Yadav, S. (2020). “How India and its Neighbors are Doing During Covid-19 Pandemics- A Critical Analysis.” International Journal of Recent Technology and Engineering (IJRTE), 9(3). DOI: 10.35940/ijrte.C4261.099320. Scopus Indexed.
Yadav, S., Agarwal, P. (2020). “Influenza Prediction: Analyzing Machine Learning Algorithms.” Asian Journal of Computer Science and Technology, 9(1), 14-18. DOI: 10.35940/ijrte.C4261.099320.
Bansal, Y., Sharma, V., Agarwal, P. (2020). “Imagenics Super-Resolution Generative Adversarial Networks (ISRGAN).” International Journal of Computer Sciences and Engineering, 8(5), 196-200.
Yadav, S., Agarwal, P. (2020). “Predictive Model for Analyzing PM 2.5 Level Of Air.” Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020. Available at SSRN: SSRN Abstract 3562955 or DOI: 10.2139/ssrn.3562955.
Agarwal, P., Singh, M. (2019). “A Multipurpose Drone for Water Sampling & Video Surveillance.” Second IEEE International Conference on Advanced Computational and Communication Paradigms, Sikkim. Available at IEEE Xplore: IEEE Xplore Document 8883017.
Agarwal, S., Agarwal, P. (2019). “Using MADALINE Learning with Back Propagation and Keras to Predict the Protein Secondary Structure.” International Journal of Engineering and Advanced Technology (IJEAT), 9(2). Scopus Indexed.
Agarwal, P. et al. (2018). “Prediction of Secondary Structure of Proteins by using Back-propagation and Sliding window for Error Minimization.” International Conference SIGMA-2018 organized by NSIT Delhi, Springer Book Series, February 2018.
Kishor, K., Agarwal, P. (2018). “Secure and Efficient Routing Protocol for MANET.” Indian Journal of Public Health Research & Development, 9(12). Scopus Indexed.
Kishor, K., Nand, P., Agarwal, P. (2018). “Subnet Hybrid Gateway MANET Protocol on the Basis of Dynamic TTL Value Adjustment.” Journal of Engineering and Applied Sciences, 13(3), 776-783. Scopus Indexed, Springer Open.
Kishor, K., Agarwal, P. (2017). “Subnet Based Ad Hoc Network Algorithm Reducing Energy Consumption in MANET.” International Journal of Applied Engineering Research, 12(22), 11796-11802. Scopus Indexed.
Sekhon, A., Agarwal, P. (2017). “Face Recognition Using K-Means and RBFN.” International Journal of Computer Science and Mobile Computing, 6(2), 137-141. ISI Indexed.
Agarwal, P. et al. (2016). “Machine Learning Tool Box.” Machine Learning and Applications: An International Journal (MLAIJ), 3(3).
Sekhon, A., Agarwal, P. (2016). “Face Recognition Using Artificial Neural Networks.” International Journal of Computer Science and Information Technologies, 7(2), 896-899. Impact Factor 3.2.
Sekhon, A., Agarwal, P. (2016). “Face Recognition Using Unsupervised Learning Technique.” International Journal of Computer Science and Information Technologies, 7(5), 2163-2166.
Agarwal, P. et al. (2014). “Multiple Sequence Alignments with Parallel Computing.” International Journal of Computer Applications® (IJCA), USA.
Gupta, R., Agarwal, P., Soni, A.K. (2013). “MSA-GA: Multiple Sequence Alignment Tool Based on Genetic Approach.” International Journal of Soft Computing and Software Engineering [JSCSE], 3(8). Indexed in SCIVerse (SCOPUS); Published by Advance Academic Publisher, San Francisco, USA.
Gupta, R., Agarwal, P. (2013). “Two New Genetic Algorithm Based Methods for Obtaining Alignment of Multiple Sequences.” International Journal of Advanced Research. Impact Factor: 1.6.
Agarwal, P. et al. (2013). “To Study the Effect of Genetic Operators on Alignment of Multiple Sequences.” Journal of Computer Science & Systems Biology. Published by OMICS Publishing Group, Los Angeles, USA. Impact Factor: 1.62.
Agarwal, P. et al. (2012). “Genetic Algorithm Based Approach for Obtaining Alignment of Multiple Sequences.” International Journal of Advanced Computer Science and Applications (IJACSA). U.S ISSN: 2156-5570 (Online); U.S ISSN: 2158-107X (Print); Vol 3, No. 12. Indexed in Scopus (Elsevier).
Rahul, & Agarwal, P. (2012). “A Review: Applying Genetic Algorithms for Motif Discovery.” International Journal of Research in Computer Science, A Unit of White Globe Publications. ISSN (Print): 2249 – 8257.
Agarwal, P. et al. (2011). “Secondary Structure Prediction Using ANN Learning.” International Journal of Computer Science & Engineering Technology (IJCSET), 1(1). Indexed & archived in all major academic databases sponsored by Springer.
Agarwal, P., Kant, L. (2011). “Enhanced Matrix Model for Finding Sequence Motif.” International Journal on Computer Science and Engineering (IJCSE), 3(1). Published by Engineering Journals Publications. Indexed & archived in all major academic databases.
Agarwal, P. (2011). “Hand-Written Character Recognition Using Kohonen Network.” International Journal Of Computer Science & Technology (IJCST), 2(3). Indexed in ACM Computing Reviews, ACM Guide to Computing Literature, SCOPUS, DBLP, EBSCO database, Google Scholar.
Agarwal, P. et al. (2010). “Sequence Alignment Using Sequence Comparison and Analysis Tool.” International Journal on Recent Trends in Engineering & Technology [IJRTET], 4(2). Indexed in major academic databases, including Scopus, SEARCH Digital Library, IEE INSPEC, EI (Compendex), Thomson ISI (ISTP), and other indexing services. Impact Metric: 1.084.
Agarwal, P. et al. (2010). “Performance Analysis Of Exact Pattern Matching Algorithms On Molecular Sequences.” International Journal on Recent Trends in Engineering & Technology [IJRTET], 4(2). Indexed in major academic databases.
Agarwal, P. et al. (2009). “Gene Prediction Using SCAT.” International Journal of Computational Intelligence in Bioinformatics, Vol II, Dec Edition. Published by Research India Publication, New Delhi.
Agarwal, P., Rizvi, S.A.M. (2009). “Computational Pattern Matching in Molecular Sequences: Three Naïve Approaches.” International Journal of Computing and Mathematical Applications, Vol. 2, No. 1-2, pp. 171-188, New Delhi.
Agarwal, P., Rizvi, S.A.M. (2009). “Pattern Matching Based Technique to Solve Motif-Finding Problem.” International Journal of Information Technology, Vol. 1, No. 1, pp. 17-21, New Delhi, India. Impact Metric: 0.6.
Agarwal, P., Rizvi, S.A.M. (2009). “Solving Sequence Alignment Problem using Pipeline Approach.” International Journal of Information Technology, New Delhi, India.
Agarwal, S., Singh, V., Agarwal, P., Rani, A. (2019). “Prediction of Secondary Structure of Proteins Using Sliding Window and Backpropagation Algorithm.” In: Malik H., Srivastava S., Sood Y., Ahmad A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. DOI: 10.1007/978-981-13-1819-1_50.
Pankaj Agarwal et. al ; Realtime Crop filed monitoring system using iOT, Journal of Nanotechnology, Hindwai; indexed in Scopus & Web of Science (communicated & accepted)
Pankaj Agarwal et. Al; Seizure Prediction and Detection Using Integrated Learning Algorithms from Multi-Source Data; Computational and Mathematical Methods in Medicine; Hindwai Journal, Scopus & Web of Science Indexed (Accepted)
Pankaj Agarwal et al; Cyber-Internet Security Framework to Conquer Energy-Related Attacks on The Internet of Things with Machine Learning Techniques, Journal of Computational Intelligence and Neuroscience, ISSN: 1687-5265 (Print), Hindwai Journal, Scopus & Web of Science Indexed , Published 2022 (I.F: 3.10)- in press
Agarwal, P., Yadav, S, ‘Bayesian-based binary compression with bandwidth optimization for UAV aerial images’, Int. J. Engineering Systems Modelling and Simulation, Inderscience Journal, DOI: 10.1504/IJESMS.2022.10046832 (in press), Indexed in Scopus, Emerging Sources Citation Index (Clarivate Analytics) 2022
Neda F, Pankaj A, Sapna Y. COVID-19 Vaccination Progress in India and its Neighbors. International Journal of Current Research and Review, 13(23), December, 2021, 108-112, http://dx.doi.org/10.31782/IJCRR.2021.132318
Sapna Yadav, Pankaj Agarwal, S.M Rizvi; “Applying Machine Learning for Prediction of Future Strains of Influenza-A Virus”; Journal of Drugs and Cell Therapies in Hematology (DCTH), Italy; 10(1), 1435–1449. https://www.dcth.org/index.php/journal/article/view/282; indexed in ESCI, Web of Science (2021)
Pankaj Agarwal, Sapna Yadav; “How India and its Neighbors are doing during Covid-19 Pandemics- A Critical Analysis”; International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-9 Issue-3, Scopus Indexed, (September 2020)
Sapna Yadav, Pankaj Agarwal; “Influenza Prediction: Analyzing Machine Learning Algorithms”; Asian Journal of Computer Science and Technology, DOI: 10.35940/ijrte.C4261.099320, ISSN: 2249-0701 Vol.9 No.1, 2020, pp. 14-18 (2020)
Yash Bansal, Vishal Sharma, Pankaj Agarwal, “Imagenics Super-Resolution Generative Adversarial Networks (ISRGAN),” International Journal of Computer Sciences and Engineering, Vol.8, Issue.5, pp.196-200, 2020
Pankaj Agarwal et al;, Predictive Model for Analyzing PM 2.5 Level of Air (March 28, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020,
Pankaj Agarwal, Mukesh Singh, “A multipurpose drone for water sampling & video surveillance”, Second IEEE International Conference on Advanced Computational and Communication Paradigms, Sikkim (2019). IEEE e-explore ref (https://ieeexplore.ieee.org/document/8883017)
Pankaj Agarwal et al;, “By using MADALINE Learning with Back Propagation and Keras to Predict the Protein Secondary Structure”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-2, December, 2019 (Scopus indexed)
Pankaj Agarwal et al, “Prediction of Secondary Structure of Proteins by using Back-propagation and Sliding window for Error Minimization”, International Conference SIGMA-2018 organized by NSIT Delhi, Springer book series, Feb 2018.
15.Kaushal Kishor, Pankaj Agarwal “Secure and Efficient Routing Protocol for MANET” Indian Journal of Public Health Research & Development, Volume 9, No. 12, December 2018. (Scopus index journal)
16.Kaushal Kishor, Pankaj Agarwal, “Subnet Hybrid Gateway MANET Protocol on the basis of Dynamic TTL Value Adjustment” Journal of Engineering and Applied Sciences, Issue 13 (3), pp. 776-783, March 2018. Scopus Indexed
Kaushal Kishor, Pankaj Agarwal, “Subnet Based Ad Hoc Network Algorithm Reducing Energy Consumption in MANET”, International Journal of Applied Engineering Research, (Scopus Indexed), ISSN 0973-4562 Volume 12, Number 22 (2017) pp. 11796-11802 (ISI Indexed Journal with I.M 4.4)
18. K Kishor, P Nand, P Agarwal, “Subnet Based Ad Hoc Network Algorithm Reducing Energy Consumption MANET”, International Journal of Applied Engineering Research, Issue 22, Volume 12, ISSN 0973-4562, pp. 11796-11802, October 2017. (Scopus Indexed Journal)
Abhjeet Sekhon, Pankaj Agarwal, “Face Recognition Using K-Means and RBFN”, International Journal of Computer Science and Mobile Computing, Vol.6 Issue.2, February -2017, pg. 137 -141, ISI indexed (2017)
Pankaj Agarwal et al; “Machine Learning Tool Box”; Machine Learning and Applications: An International Journal (MLAIJ); Vol 3, No. 3, September 2016
Abhjeet Sekhon and Pankaj Agarwal; ‘Face Recognition Using Artificial Neural Networks’; International Journal of Computer Science and Information Technologies, Vol. 7 (2) , 2016, 896-899. I.F 3.2 (2016)
Abhjeet Sekhon and Pankaj Agarwal; ‘Face Recognition Using Unsupervised Learning Technique’; International Journal of Computer Science and Information Technologies, Vol. 7 (5) , 2016, 2163-2166
Pankaj Agarwal et al;”Multiple Sequence Alignments with Parallel Computing”; Published in International Journal of Computer Applications® (IJCA) (0975 – 8887),USA. (2014).
Ruchi Gupta, Pankaj Agarwal, A.K Soni” MSA-GA: Multiple Sequence Alignment Tool Based on Genetic Approach”, International Journal of Soft Computing and Software Engineering [JSCSE], Vol. 3, No. 8, pp. 0-0, 2013; indexed in SCIVerse(SCOPUS); published by Advance Academic Publisher; San Francisco, USA (2013)
Ruchi Gupta and Pankaj Agarwal; “Two New Genetic Algorithm Based Methods for Obtaining Alignment of Multiple Sequences”; International Journal of Advanced Research. (impact factor: 1.6)(2013)
Pankaj Agarwal et al.; “To Study the Effect of Genetic Operators on Alignment of Multiple Sequences”; Journal of Computer Science & Systems Biology (ISSN: 0974-7230); published by OMICS Publishing Group, Los Angeles, USA; Impact Factor: 1.62 (2013)
Pankaj Agarwal et al.; “Genetic Algorithm Based Approach for Obtaining Alignment of Multiple Sequences”; published in International Journal of Advanced Computer Science and Applications (IJACSA); U.S ISSN : 2156-5570(Online) ;U.S ISSN : 2158-107X(Print); Vol 3, No. 12; IM:1.187(2011), indexed in Scopus (Elsevier) (Dec, 2012).
Rahul & Pankaj Agarwal; ‘A Review: Applying Genetic Algorithms for Motif Discovery’; International Journal of Research in Computer Science, A Unit of White Globe Publications; ISSN (Print) : 2249 – 8257 (2012)
Pankaj Agarwal et al.; “Secondary Structure Prediction Using ANN Learning”; International Journal of Computer Science & Engineering Technology (IJCSET),ISSN: 2229-3345; Vol 1 Issue 1 2011; indexed & archived in all major academic databases like citeulike – sponsored by Springer etc (2011).
Pankaj Agarwal & Laxmi Kant.; “Enhanced Matrix Model for Finding Sequence Motif”, International Journal on Computer Science and Engineering (IJCSE) (ISSN: 2229-5631) Volume 3 Issue 1 2011; Published by: Engineering Journals Publications; indexed & archived in all major academic databases (2011).
Pankaj Agarwal; “Hand-Written Character Recognition Using Kohonen Network”; International Journal Of Computer Science & Technology (IJCST) , VOL.2, ISSUE.3, SEPTEMBER, 2011, ISSN : 0976-8491 (online), 2229-4333 (Print), Indexed in ACM Computing Reviews, ACM Guide to Computing Literature, SCOPUS, DBLP, EBSCO database, Google Scholar etc (2011).
Pankaj Agarwal et al.” Sequence Alignment Using Sequence Comparison and Analysis Tool”, International Journal on Recent Trends in Engineering & Technology [IJRTET], Volume 4, Issue 2, 2010[ISSN: 2158-5563], ACEEE,USA; indexed in major academic databases, including Scopus, SEARCH Digital Library, IEE INSPEC, EI (Compendex), Thomson ISI (ISTP), and other indexing services (2010). [IM-1.084]
Pankaj Agarwal et al.;” Performance Analysis Of Exact Pattern Matching Algorithms On Molecular Sequences”, International Journal on Recent Trends in Engineering & Technology [IJRTET], Volume 4, Issue 2, 2010 [ISSN: 2158-5563], ACEEE, USA; indexed in major academic databases (2010). [IM-1.084]
Pankaj Agarwal et al.;” Gene Prediction Using SCAT”, published in the International Journal of Computational Intelligence in Bioinformatics Vol II, Dec, 2009 Edition [ISSN: 0973-385X] published by Research India Publication, New Delhi (2009).
Pankaj Agarwal and S.A.M. Rizvi,” Computational Pattern Matching in Molecular Sequences: Three Naïve Approaches”; International Journal of Computing and Mathematical applications; Global Research Publications, Vol. 2, No. 1-2, Jan-Dec, pp. 171-188, ISSN:0974-4312,New Delhi (2009).
Pankaj Agarwal and S.A.M. Rizvi, ”Pattern Matching Based Technique to Solve Motif-Finding Problem “; International Journal of Information Technology, Vol. 1, No. 1, Jan-July, pp. 17-21, ISSN:0973-5658, New Delhi, India. IM:0.6 ;ISSN: 0973-5658, Springer.
Pankaj Agarwal and S.A.M. Rizvi; “Solving Sequence Alignment Problem using Pipeline Approach “; published in International Journal of Information Technology, ISSN: 0974-4312, New Delhi, India (2009). ISSN: 0973-5658; Springer.
Agarwal S., Singh V., Agarwal P., Rani A. (2019) Prediction of Secondary Structure of Proteins Using Sliding Window and Backpropagation Algorithm. In: Malik H., Srivastava S., Sood Y., Ahmad A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_50