Faculty Member
- Qualification
Ph. D
- Designation
Assistant Professor
- Thrust Area
AI Safety, Ethics and Evaluation, AI, Machine learning, Nature inspired optimization
- Address
- Mobile
8750919969
- Email
nadeem.amu@gmail.com
- Time Table
Dr Mohammad Nadeem is an Assistant Professor in the Department of Computer Science at Aligarh Muslim University (AMU), India where he has been serving since 2016. He received his PhD in Computer Science from IIT (ISM) Dhanbad, India and his academic and research work broadly focus on trustworthy AI, AI safety, fairness in foundation models and socio-technical aspects of advanced AI systems.
His recent research particularly explores representational biases and societal implications of large language and multimodal AI systems with emphasis on Global South contexts and region-aware AI evaluation. His works have appeared in venues such as Nature Machine Intelligence, IEEE Intelligent Systems, IEEE Transactions on Big Data, Interspeech (CORE A Conference), and IJCNN (CORE B Conference),. He has also contributed to the development of fairness-oriented datasets and evaluation resources, including IndicFairFace, a balanced Indian face dataset designed for studying geographical bias in vision-language models. He has also received research and travel support from organizations including OpenAI, ANRF-India, and SERB-DST India.
- Research Publications
1) Mohammad Nadeem, Shahab Saquib Sohail, Dag Øivind Madsen, Ahmed Abrahim Alzahrani, Javier Del Ser, and Khan Muhammad. "A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models". IEEE Transactions on Big Data. 2025. (Impact factor: 7.2). 11 (3), 1001-1012, 2025.
2) Mohammad Nadeem, Shahab Saquib Sohail, Laeeba Javed, Faisal Anwer, Abdul Khader Jilani Saudagar, and Khan Muhammad. "Vision-enabled large language and deep learning models for image-based emotion recognition." Cognitive Computation 16, no. 5 (2024): 2566-2579. (Impact factor: 4.3) DOI: https://doi.org/10.1007/s12559-024 10281-5.
3) Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, et al., Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions. Journal of King Saud University-Computer and Information Sciences (2023): 101675.
4) Umar, Talha, Mohammad Nadeem, and Faisal Anwer. "Chaos based image encryption scheme to secure sensitive multimedia content in cloud storage." Expert Systems with Applications 257 (2024): 125050. (Impact factor: 7.5) DOI: https://doi.org/10.1016/j.eswa.2024.125050
5) Kumar, Ankur, Mohammad Nadeem, and Mohammad Shameem. "Metaheuristic-based cost-effective predictive modeling for DevOps project success." Applied Soft Computing 163 (2024): 111834. (Impact factor: 8.9) DOI: https://doi.org/10.1016/j.asoc.2024.111834
6) Umar Talha, Mohammad Nadeem, and Faisal Anwer. "A new modified Skew Tent Map and its application in pseudo-random number generator." Computer Standards & Interfaces 89 (2024): 103826. (Impact factor: 5 ) DOI: https://doi.org/10.1016/j.csi.2023.103826
7) Muhammad Azeem Akbar, Arif Ali Khan, Mohammad Shameem, Mohammad Nadeem. "Genetic model-based success probability prediction of quantum software development projects." Elsevier-Information and Software Technology, 165, 107352. (2023). (Impact factor: 3.9) DOI: https://doi.org/10.1016/j.infsof.2023.107352
8) Ankur Kumar, Mohammad Nadeem, Mohammad Shameem. "Machine learning based predictive modeling to effectively implement DevOps practices in software organizations." Automated Software Engineering 30, no. 2 (2023): 21. (Impact factor: 3.4) DOI: https://doi.org/10.1007/s10515-023-00388-8
9) Mohammad Shameem, Mohammad Nadeem, and Abu Taha Zamani. "Genetic algorithm based probabilistic model for agile project success in global software development." Applied Soft Computing (2023): 109998. (Impact factor: 8.9) DOI: https://doi.org/10.1016/j.asoc.2023.109998
10) Raza Imam, Kaushal Kumar, Syed Mehran Raza, Rumi Sadaf, Faisal Anwer, Noor Fatima, Mohammad Nadeem, Mohamed Abbas, Obaidur Rahman. "A systematic literature review of attribute based encryption in health services." Journal of King Saud University-Computer and Information Sciences, 34(9), pp.6743-6774, (2023). (Impact factor: 6.9) DOI: https://doi.org/10.1016/j.jksuci.2022.06.018
11) Deepika Kaushik and Mohammad Nadeem. "Confluence Metaheuristic: A novel initialization strategy for metaheuristic algorithms", Springer- Evolving Systems, (2023). (Impact factor: 3.2) DOI: https://doi.org/10.1007/s12530-023-09514-z
12) Qazi Mohammad Areeb, Maryam, Mohammad Nadeem, RoobaeaAlroobaea and Faisal Anwer. "Helping Hearing Impaired in Emergency Situations: A Deep Learning-Based Approach." IEEE Access, 10, pp.8502-8517 (2022). (Impact factor: 3.9) DOI: https://doi.org/10.1109/ACCESS.2022.3142918
13) Ankur Kumar, Mohammad Nadeem, Haider Banka. "Nature inspired optimization algorithms: a comprehensive overview." Springer- Evolving Systems, 14(1), pp.141-156., (2022). (Impact factor: 3.2) DOI: https://doi.org/10.1007/s12530-022-09432-6
14) Arif Ali Khan, Mohammad Shameem, Mohammad Nadeem, and Muhammad Azeem Akbar. "Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping." Applied Soft Computing, 102, pp.107090 (2021). (Impact factor: 8.9) DOI: https://doi.org/10.1016/j.asoc.2021.107090
15) Muhammad Azeem Akbar, Mohammad Shameem, Arif Ali Khan, Mohammad Nadeem, Ahmed Alsanad and Abdu Gumaei. "A fuzzy analytical hierarchy process to prioritize the success factors of requirement change management in global software development." Wiley- Software: Evolution and Process, 33(2), e2292 (2021). (Impact factor: 2) DOI: https://doi.org/10.1002/smr.2292
16) Mohammad Shameem, Rakesh Ranjan Kumar, Mohammad Nadeem, Arif Ali Khan. "Taxonomy of Barriers and their Prioritization using Fuzzy Analytic Hierarchy Process for Scaling Agile Development in the Global Software Development." Applied Soft Computing, 90, pp. 106-122 (2020). (Impact factor: 8.9). DOI: https://doi.org/10.1016/j.asoc.2020.106122
17) Mohammad Nadeem, Haider Banka and R. Venugopal. "A neural network based approach for steady-state modelling and simulation of continuous balling process." Soft Computing, 22(3), pp. 873-887 (2018). (Impact factor: 4.1) DOI: https://doi.org/10.1007/s00500-016-2394-5
18) Mohammad Nadeem, Haider Banka and R. Venugopal. "Estimation of pellet size and strength of limestone and manganese concentrate using soft computing techniques." Applied Soft Computing, 59, pp. 500-511 (2017). (Impact factor: 8.9). DOI: https://doi.org/10.1016/j.asoc.2017.06.005
19) Mohammad Nadeem, Haider Banka and R. Venugopal. "SVM-Based Predictive Modelling of Wet Pelletization Using Experimental and GA-Based Synthetic Data." Springer-Arabian Journal for Science and Engineering, 41(3), pp. 1053-1065 (2016). (Impact factor: 2.9) DOI: https://doi.org/10.1007/s13369-015-1979-0.
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