Published/Accepted Journals

• Naeem Ahmad, Rizwan Alam, and Shuchi Sethi (2024), Preventing crop damage due to animals using deep learning, Int. J. of Computational Vision and Robotics, InderScience. 
• Naeem Ahmad, Sunit Gosh, and Jitendra Rout (2024), CNN-based hybrid deep learning framework for human activity classification, Journal of Sensor Networks, InderScience. (IF = 1.50)
• Naeem Ahmad and Md. Gulzarul Hasan (2021), Self-adaptive query-broadcast in Wireless Networks using Best Worst Method, Journal of Wireless Networks, 27(01), pp. 765-780, Springer. (IF=2.602)
• Naeem Ahmad, Md Gulzarul Hasan (2021), and Rejaul Karim, Identification and prioritization of strategies to tackle COVID-19 outbreak: A group-BWM based MCDM approach. Journal of Applied Soft Computing, Elsevier. (IF=6.725)
• Naeem Ahmad, Shuchi Sethi and Muqeem Ahmad (2020), Cache-aware query-broadcast to improve QoS of routing protocols in MANETs, Journal of Wireless Personal Communications, 113(3), pp. 481-498, Springer. (IF=1.671)
• Asif Khan, Jian Ping Li and Naeem Ahmad (2020), Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks. IEEE Access, 8(1), pp.39635 - 39646, IEEE Computer Society. (IF=3.075)
• Asif Khan, Jian Ping Li and Naeem Ahmad (2020), Partial Observer Decision Process Model for Crane-Robot action. Journal of Scientific Programming, 20(1), pp.1-14, Hindawi. (IF=1.963)
• Naeem Ahmad and S.Z. Hussain (2018), Analytical Comparisons of Query-Broadcast Repealing Schemes in MANETs., Journal of Telecommunication Systems, 70(1), pp. 67-79, Springer. (IF=2. 314)
• Naeem Ahmad and S.Z. Hussain (2017), Minimizing Broadcast Expenses in Clustered Ad-hoc Networks, Journal of Computer and Information Sciences, 30(1), pp. 67-79, Elsevier. (IF=13.473)
• Naeem Ahmad and S.Z. Hussain (2017), Power Saving Technique for Controlled Broadcast of Query Packet in MANETs, Journal of Mobile Network Design and Innovation, 7(3), pp. 158-169, InderScience.
• Naeem Ahmad and S.Z. Hussain (2016), Broadcast Expenses Controlling Techniques in Mobile Ad hoc Networks:   A Survey., Journal of Computer and Information Sciences, 28(3), pp. 248-261, Elsevier. (IF=13.473)

Conference Proceedings

• Agarwal, Vanshikha, Naeem Ahmad, and Md Gulzarul Hasan. "Physiological Signals based Student Grades Prediction using Machine Learning." 2023 OITS International Conference on Information Technology (OCIT). IEEE, 2023.

• Pandey, Ankit, Naeem Ahmad, and Dibakar Saha. "Detection of ground holes using Deep Learning for Surveillance." 2023 OITS International Conference on Information Technology (OCIT). IEEE, 2023.

• Naeem Ahmad, Zubair Khan, and Deepak Singh, Student Engagement Prediction in MOOCs Using Deep Learning, In the Proceedings of 5th International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2023, Pune, India.

• Naeem Ahmad, Sumedha Arya, and Deepak Singh, Predicting Risky Environment for Child Inside House using Deep Learning, In the Proceedings of 5th International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2023, Pune, India.

• Naeem Ahmad, Anirudh Gupta, and Deepak Singh, Using Deep Transfer Learning to Predict Student Engagement in Online Courses, Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19–20, 2023, Proceedings, Part II. Cham: Springer Nature Switzerland, 2023, MNIT Bhopal, India.

• S.Z. Hussain, and Naeem Ahmad, Cluster based controlling of route exploring packets in ad-hoc networks, In Proceedings of the 2nd International Conference on Advanced Computing, Networking, and Informatics, ICACNI’14, Smart Innovation, Systems and Technologies, Kolkata, India, June 13-14, 2014. Springer.

• Naeem Ahmad and S.Z. Hussain, Performance analysis of adaptive routing protocols based on different mobility model with varying network sizes, In Proceedings of the 4th International Conference “The Next Generation Information Technology Summit (CONFLUENCE 2013)", Greater Noida, India, Sep 27-28, 2013. IEEE Computer Society.  

Book Chapters

• Naeem Ahmad, Asif Khan (2024), Brain Tumour Detection from MRI images using Shallow CNN, Deep Learning Application in Translational Bioinformatics, Elsevier. (978-0-443-22299-3)
• Rejaul Karim and Naeem Ahmad (2022), Application of Convolutional Neural Networks in Cancer Diagnosis, Computational Intelligence in Oncology, Springer. (978-981-16-9221-5)
• Rejaul Karim and Naeem Ahmad (2021), Application of Internet of Things in Translational Bioinformatics. Translational Bioinformatics in Healthcare, Elsevier. (ISBN: 978-032-389-8249)
• Naeem Ahmad and Shuchi Sethi (2020), An Overview of Query Broadcasting Techniques in Ad Hoc Networks. Mobile Computing, IntechOpen. (ISSN: 978-1-78984-939-4)

Books As Co-author

• Deep Learning Applications in Translational Bioinformatics, Elsevier. (ISBN: 978-0-443-22299-3)
• Computer Science (Class 12), NCERT, New Delhi, India. (ISBN: 978-93-5292-338-0)
• Informatics Practices (Class 12), NCERT, New Delhi, India. (ISBN: 978-93-5292-361-8)

Patents

• Naeem Ahmad, Mohd Rizwan, Asif Khan, Unmanned Repealing Device, Indian Patent, Applicationnumber-202211040812. (Published)

• Mohd Aslam Hussain, Asif Khan, Mohd Kamrul Hasan, Naeem Ahmad, Khushnood Abbas, AModified Maximum Power Point (MPP) Tracking Module for Photovoltaic and A Method Thereof,Republic of South Africa, Patent number – 2022/00144. (Granted)

Work Experience

• Sep 2021 - Present: Assistant Professor at Department of Computer Applications, National Institute of Technology Raipur, Raipur, C.G., India
• Oct 2020-Sep 2021: Associate Professor at Department of Computer Applications, Madanpalle Institute of Technology and Science, Madanpalle, AP, India
• Sep 2018-Sep 2020: Assistant Professor at Department of Computer Applications, Madanpalle Institute of Technology and Science, Madanpalle, AP, India
• May 2017-June 2018: Assistant Professor at School of Network Engineering, Jiangxi University of Software Professional Technology, Nanchang, China
• July 2015-Nov 2016: Assistant Professor at Guest Faculty, Department of Computer Science, Jamia Millia Islamia (A Central University) New Delhi, India

Invited Lectures

• Delivering a session titled “Implementation of CNN Architectureusing Python” at the National Conference on Recent Advances in Data Science (CRADS-2023),organized by the Department of Mathematics, School of Advanced Sciences (SAS), VIT-AP University,held online from 15-17 December 2023.
• Python for Data Science as Resource Person for AICTE Training And Learning (ATAL) on “Recent Trends in Data Science and Its Tools for Researchers" organised by IFET College of Engineering, Tamilnadu, India.
• Resource Person for Training Programme on Python Programming organised by State Institute of Education (SIE) PortBlair (Andman&Nicobar) with collaboration of NCERT New Delhi to train 30 PGTs.
• Guest lectures on Big Data Analytics at Besent Theosophical College, Madanapalle through faculty exchange program for two weeks organized by Madanapalle Institute of Technology and Science, Madanapalle, India.
• Online Faculty Development Programme on “Python for Data Science" organised  by Madanapalle Institute of Technology and Science, Madanapalle, India.

Professional Activities 

• Session chaired at the conference entitled "1st International Conference on Computational Intelligence and Network Security (ICCINS-2022)".
• Reviewer of journals indexed in SCI/SCIE such as IEEE System Journal, Journal of Ad-hoc Networks, Journal of Networks and Computer Applications, Journal of Telecommunication Systems etc.
• Editorial board member of Journal of Advances in Wireless Communications and Networks.
• Youtuber (Videos on Python Programming and Python for Data Science)