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Mohammad Wani

  • mwani at bournemouth dot ac dot uk
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Journal Articles

  • Sultan, B. and Wani, M.A., 2024. Enhancing steganography capacity through multi-stage generator model in generative adversarial network based image concealment. Journal of Electronic Imaging, 33 (3), 33026.
  • Sofi, M.A. and Wani, M.A., 2024. IRNN-SS: deep learning for optimised protein secondary structure prediction through PROMOTIF and DSSP annotation fusion. International Journal of Bioinformatics Research and Applications, 20 (6), 608-626.
  • Ahanger, M.M. and Wani, M.A., 2023. Improving Scientific Literature Classification: A Parameter-Efficient Transformer-Based Approach. International Journal of Electrical and Computer Engineering Systems, 14 (10), 1115-1123.
  • Ali, S. and Wani, M.A., 2023. Gradient-Based Neural Architecture Search: A Comprehensive Evaluation †. Machine Learning and Knowledge Extraction, 5 (3), 1176-1194.
  • Wani, M.A. and Sultan, B., 2023. Deep learning based image steganography: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13 (3).
  • Iqball, T. and Wani, M.A., 2023. Weighted ensemble model for image classification. International Journal of Information Technology (Singapore), 15 (2), 557-564.
  • Sofi, M.A. and Wani, M.A., 2023. RiRPSSP: A unified deep learning method for prediction of regular and irregular protein secondary structures. Journal of Bioinformatics and Computational Biology, 21 (1).
  • Kawa, S.A. and Wani, M.A., 2023. Data driven designing of convolutional neural networks architectures for image classification. Engineering Letters, 31 (2), 735-742.
  • Raina, A., Wani, M.R., Laskar, R.A. and Khan, S., 2022. Chemical mutagenesis: role in breeding and biofortification of lentil (Lens culinaris Medik) mutant lines. Molecular Biology Reports, 49 (12), 11313-11325.
  • Rasik, S., Raina, A., Laskar, R.A., Wani, M.R., Reshi, Z.A., Khan, S. and Ndhlala, A.R., 2022. Lower doses of sodium azide and methyl methanesulphonate improved yield and pigment contents in vegetable cowpea [Vigna unguiculata (L.) Walp.]. South African Journal of Botany, 148, 727-736.
  • Sofi, M.A. and Wani, M.A., 2022. Protein secondary structure prediction using data-partitioning combined with stacked convolutional neural networks and bidirectional gated recurrent units. International Journal of Information Technology (Singapore), 14 (5), 2285-2295.
  • Raina, A., Laskar, R.A., Wani, M.R., Jan, B.L., Ali, S. and Khan, S., 2022. Gamma Rays and Sodium Azide Induced Genetic Variability in High-Yielding and Biofortified Mutant Lines in Cowpea [Vigna unguiculata (L.) Walp.]. Frontiers in Plant Science, 13.
  • Goyal, S., Wani, M.R., Raina, A., Laskar, R.A. and Khan, S., 2022. Quantitative assessments on induced high yielding mutant lines in urdbean [Vigna mungo (L.) hepper]. Legume Science, 4 (2).
  • Mir, A.W., Shaheen, A., Wani, M.R. and Arif, R., 2022. Synthesis, micellization and cytotoxic studies of ester-functionalized imidazolium gemini surfactants. Journal of Surfactants and Detergents, 25 (3), 321-329.
  • Raina, A., Laskar, R.A., Wani, M.R., Jan, B.L., Ali, S. and Khan, S., 2022. Comparative Mutagenic Effectiveness and Efficiency of Gamma Rays and Sodium Azide in Inducing Chlorophyll and Morphological Mutants of Cowpea. Plants, 11 (10).
  • Fatima, T., Jolly, R., Wani, M.R., Shadab, G.G.H.A. and Shakir, M., 2021. Exploring the bone regeneration potential of bio-fabricated nano-titania reinforced polyvinyl alcohol / nano-cellulose based composite film. Results in Materials, 12.
  • Wani, M.R. and Shadab, G.G.H.A., 2021. Low doses of thymoquinone protect isolated human blood cells from TiO2 nanoparticles induced oxidative stress, hemolysis, cytotoxicity, DNA damage and collapse of mitochondrial activity. Phytomedicine Plus, 1 (4).
  • Wani, M.R., Laskar, R.A., Raina, A., Khan, S. and Khan, T.U., 2021. Application of chemical mutagenesis for improvement of productivity traits in Lentil (Lens culinaris medik). Annals of Biology, 37 (1), 69-75.
  • Wani, M.R., Maheshwari, N. and Shadab, G., 2021. Eugenol attenuates TiO2 nanoparticles-induced oxidative damage, biochemical toxicity and DNA damage in Wistar rats: an in vivo study. Environmental Science and Pollution Research, 28 (18), 22664-22678.
  • Goyal, S., Wani, M.R., Raina, A., Laskar, R.A. and Khan, S., 2021. Phenotypic diversity in mutagenized population of urdbean (Vigna mungo (L.) Hepper). Heliyon, 7 (5).
  • Wani, M.R. and Shadab, G.G.H.A., 2021. Coenzyme Q10 protects isolated human blood cells from TiO2 nanoparticles induced oxidative/antioxidative imbalance, hemolysis, cytotoxicity, DNA damage and mitochondrial impairment. Molecular Biology Reports, 48 (4), 3367-3377.
  • Teli, T.A. and Wani, M.A., 2021. A fuzzy based local minima avoidance path planning in autonomous robots. International Journal of Information Technology (Singapore), 13 (1), 33-40.
  • Humaira, Pant, S., Dar, A.R., Akhter, A., Wani, M.R. and Shah, N.H., 2021. Diversity and Utilization of Medicinal Flora of Baba Ghulam Shah Badshah University Campus Rajouri Jammu and Kashmir, India. Indian Journal of Agricultural Research, 55 (1), 1-12.
  • Wani, M.R., 2021. Comparative biological sensitivity and mutability of chemo-mutagens in lentil (Lens culinaris medik). Legume Research, 44 (1), 26-30.
  • Wani, M.A. and Mujtaba, T., 2021. Segmentation of Satellite Images of Solar Panels Using Fast Deep Learning Model. International Journal of Renewable Energy Research, 11 (1), 31-45.
  • Dar, A.R., Andleeb, L., Dar, G.H., Wani, M.R., Akhter, A., Shah, N.H. and Amin, I., 2021. A review of taxonomic perspective of diversity in gymnosperms of Kashmir Himalaya. Pakistan Journal of Scientific and Industrial Research Series B: Biological Sciences, 64 (1), 94-108.
  • Wani, M.R. and Shadab, G.G.H.A., 2021. Antioxidant thymoquinone and eugenol alleviate TiO2 nanoparticle-induced toxicity in human blood cells in vitro. Toxicology Mechanisms and Methods, 31 (8), 619-629.
  • Raina, A., Laskar, R.A., Tantray, Y.R., Khursheed, S., Wani, M.R. and Khan, S., 2020. Characterization of Induced High Yielding Cowpea Mutant Lines Using Physiological, Biochemical and Molecular Markers. Scientific Reports, 10 (1).
  • WANI, M.R., 2020. Characterization of chlorophyll deficient mutants in mungbean (vigna radiata (l.) wilczek). Bangladesh Journal of Botany, 49 (4), 1013-1019.
  • Wani, M.R. and Shadab, G.G.H.A., 2020. Titanium dioxide nanoparticle genotoxicity: A review of recent in vivo and in vitro studies. Toxicology and Industrial Health, 36 (7), 514-530.
  • Goyal, S., Wani, M.R., Laskar, R.A., Raina, A. and Khan, S., 2020. Performance evaluation of induced mutant lines of black gram (Vigna mungo (L.) Hepper). Acta Fytotechnica et Zootechnica, 23 (2), 70-77.
  • Goyal, S., Wani, M.R., Laskar, R.A., Raina, A., Amin, R. and Khan, S., 2019. Induction of morphological mutations and mutant phenotyping in black gram [Vigna mungo (L.) Hepper] using gamma rays and EMS. Vegetos, 32 (4), 464-472.
  • Amin, R., Wani, M.R., Raina, A., Khursheed, S. and Khan, S., 2019. Induced Morphological and Chromosomal Diversity in the Mutagenized Population of Black Cumin (Nigella sativa L.) Using Single and Combination Treatments of Gamma Rays and Ethyl Methane Sulfonate. Jordan Journal of Biological Sciences, 12 (1), 23-30.
  • Khan, A.I. and Wani, M.A., 2019. Patch-based Segmentation of Latent Fingerprint Images Using Convolutional Neural Network. Applied Artificial Intelligence, 33 (1), 87-100.
  • Wani, M.A. and Ahmad, M., 2019. Statically optimal binary search tree computation using non-serial polyadic dynamic programming on GPU's. International Journal of Grid and High Performance Computing, 11 (1), 49-70.
  • Khan, A.I. and Wani, M.A., 2019. A common convolutional neural network model to classify plain, rolled and latent fingerprints. International Journal of Biometrics, 11 (3), 257-273.
  • Amin Laskar, R., Wani, M.R., Raina, A., Amin, R. and Khan, S., 2018. Morphological characterization of gamma rays induced multipodding mutant (mp) in lentil cultivar Pant L 406. International Journal of Radiation Biology, 94 (11), 1049-1053.
  • Shah, N.H., Dar, A.R., Qureshi, I.A., Akhter, A., Wani, M.R. and Andleeb, L., 2018. Control of root-knot disease of brinjal (Solanum melongena L.) by the application of leaf extracts of certain medicinal plants. Indian Journal of Agricultural Research, 52 (4), 444-447.
  • Shah, N.H., Dar, A.R., Qureshi, I.A., Akhter, A., Wani, M.R. and Andleeb, L., 2018. Control of root-knot disease of brinjal (Solanum melongena L.) by the application of leaf extracts of certain medicinal plants. Indian Journal of Agricultural Research, 52 (4), 444-447.
  • Wani, M.A. and Afzal, S., 2018. Optimization of deep network models through fine tuning. International Journal of Intelligent Computing and Cybernetics, 11 (3), 386-403.
  • Kumar, D., Deepak, K.B., Muzakkir, S.M., Wani, M.F. and Lijesh, K.P., 2018. Enhancing tribological performance of Ti-6Al-4V by sliding process. Tribology - Materials, Surfaces and Interfaces, 12 (3), 137-143.
  • Wani, M.S., Gupta, R.C., Pradhan, S.K. and Munshi, A.H., 2018. Estimation of four triterpenoids, betulin, lupeol, oleanolic acid, and betulinic acid, from bark, leaves, and roots of betula utilis D. don using a validated high-performance thin-layer chromatographic method. Journal of Planar Chromatography - Modern TLC, 31 (3), 220-229.
  • Khursheed, S., Raina, A., Amin, R., Wani, M.R. and Khan, S., 2018. Quantitative analysis of genetic parameters in the mutagenized population of faba bean (Vicia faba L.). Research on Crops, 19 (2), 276-284.
  • Khan, M.J., Wani, M.F. and Gupta, R., 2018. Tribological properties of glass fiber filled polytetrafluoroethylene sliding against stainless steel under dry and aqueous environments: Enhanced tribological performance in sea water. Materials Research Express, 5 (5).
  • Kumar, P. and Wani, M.F., 2018. Tribological Characterisation of Graphene Oxide as Lubricant Additive on Hypereutectic Al-25Si/Steel Tribopair. Tribology Transactions, 61 (2), 335-346.
  • Saleem, S.S. and Wani, M.F., 2018. Effect of load on tribofilms at the contact interface under dry sliding conditions at 500 °C: Einfluss der Last auf tribologische Schichten an der Kontaktfläche unter Trockenreibung bei 500 °C. Materialwissenschaft und Werkstofftechnik, 49 (2), 169-184.
  • Mushtaq, S. and Wani, M.F., 2018. High-temperature friction and wear studies of Fe-Cu-Sn alloy with graphite as solid lubricant under dry sliding conditions. Materials Research Express, 5 (2).
  • Junaid Mir, M. and Wani, M.F., 2018. Modelling and analysis of tool wear and surface roughness in hard turning of AISI D2 steel using response surface methodology. International Journal of Industrial Engineering Computations, 9 (1), 63-74.
  • Kumar, P. and Wani, M.F., 2018. Tribological Characterisation of Hypereutectic Al-25Si Alloy under Dry and Lubricated Sliding Conditions. Journal of Tribology, 140 (1).
  • Khabale, D. and Wani, M.F., 2018. Tribological Characterization of AZ91 and AE42 Magnesium Alloys in Fretting Contact. Journal of Tribology, 140 (1).
  • Mushtaq, S. and Wani, M.F., 2018. Tribological characterization of Fe-Cu-Sn alloy with graphite as solid lubricant. Industrial Lubrication and Tribology, 70 (2), 393-400.
  • Wani, M.R., 2018. Early maturing mutants of chickpea (Cicer arietinum) induced by chemical mutagens. Indian Journal of Agricultural Sciences, 88 (4), 635-640.
  • Wani, M.A., Dada, Z.A. and Shah, S.A., 2018. Sustainable integrated solid waste management in the trans- Himalayan accommodation sector. African Journal of Hospitality, Tourism and Leisure, 7 (2).
  • Wani, M.A. and Bhat, H.F., 2018. One-against-all and one-against-one multiclass Support Vector Machine algorithms for wind speed prediction. International Journal of Renewable Energy Research, 8 (2), 909-915.
  • Akhter, A., Qureshi, I.A., Dar, A.R., Wani, M.R., Andleeb, L., Shah, N.H. and Inam, A., 2018. Anthropogenic impact on the medicinal plant wealth of Tangmarg (Gulmarg), Jammu and Kashmir, India. Asian Journal of Microbiology, Biotechnology and Environmental Sciences, 20 (3), 880-885.
  • Hanief, M. and Wani, M.F., 2017. Wear Modeling Revisited Using Electrical Analogy. Journal of Tribology, 139 (6).
  • Saleem, S.S. and Wani, M.F., 2017. Tribological Characterization of N 80A and 21-4N Valve Materials Against GGG-40 Seat Material under Dry Sliding Conditions at Temperatures Up to 500 °c. Journal of Tribology, 139 (6).
  • Kumar, P. and Wani, M.F., 2017. Effect of load on the tribological properties of hypereutectic Al-Si alloy under boundary lubrication conditions. Materials Research Express, 4 (11).
  • Khajuria, G. and Wani, M.F., 2017. High-Temperature Friction and Wear Studies of Nimonic 80A and Nimonic 90 Against Nimonic 75 Under Dry Sliding Conditions. Tribology Letters, 65 (3).
  • Anand, A., Khan, R.A. and Wani, M.F., 2016. Development of a sustainability risk assessment index of a mechanical system at conceptual design stage. Journal of Cleaner Production, 139, 258-266.
  • Hanief, M. and Wani, M.F., 2016. Effect of surface roughness on wear rate during running-in of En31-steel: Model and experimental validation. Materials Letters, 176, 91-93.
  • Charoo, M.S. and Wani, M.F., 2016. Friction and wear properties of nano-Si3N4/nano-SiC composite under nanolubricated conditions. Journal of Advanced Ceramics, 5 (2), 145-152.
  • Charoo, M.S. and Wani, M.F., 2016. Tribological properties of IF-MoS2 nanoparticles as lubricant additive on cylinder liner and piston ring tribo-pair. Tribology in Industry, 38 (2), 156-162.
  • Charoo, M.S. and Wani, M.F., 2016. Tribological properties of h-BN nanoparticles as lubricant additive on cylinder liner and piston ring. Lubrication Science.
  • Anand, A., Vohra, K., Ul Haq, M.I., Raina, A. and Wani, M.F., 2016. Tribological considerations of cutting fluids in machining environment: A review. Tribology in Industry, 38 (4), 463-474.
  • Maiti, S.K., Sarkar, S., Wani, M.F. and Das, P.K., 2015. Mechanical and Tribological Performance of Graphite/Silicon Nitride Composites: A Comparison between Pressureless and Spark Plasma Sinter Processing. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science.
  • Maiti, S.K., Sarkar, S., Wani, M.F. and Das, P.K., 2015. Mechanical and Tribological Performance of Graphite/Silicon Nitride Composites: A Comparison between Pressureless and Spark Plasma Sinter Processing. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 46 (12), 5719-5726.
  • Wani, M.H., Paul, R.K., Bazaz, N.H. and Manzoor, M., 2015. Market integration and price forecasting of apple in India. Indian Journal of Agricultural Economics, 70 (2), 169-181.
  • Hanief, M. and Wani, M.F., 2015. Modeling and prediction of surface roughness for running-in wear using Gauss-Newton algorithm and ANN. Applied Surface Science, 357, 1573-1577.
  • Wani, M.F. and Anand, A., 2010. Life-cycle assessment modelling and life-cycle assessment evaluation of a triboelement. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 224 (11), 1209-1220.
  • Wani, M.F. and Gandhi, O.P., 2008. Failure analysis of mechanical systems based on functioncum-structure approach. International Journal of Performability Engineering, 4 (2), 141-152.
  • Khan, S., Wani, M.R. and Parveen, K., 2004. Induced genetic variability for quantitative traits in Vigna Radiata (L.) wilczek. Pakistan Journal of Botany, 36 (4), 845-850.
  • Wani, M.F. and Gandhi, O.P., 2002. Maintainability design and evaluation of mechanical systems based on tribology. Reliability Engineering and System Safety, 77 (2), 181-188.
  • Wani, M.F., Prakash, B., Das, P.K., Raza, S.S. and Mukerji, J., 1997. Friction and wear of HPSN bearing materials. American Ceramic Society Bulletin, 76 (8), 65-69.

Books

Chapters

  • Bhat, H.F. and Wani, M.A., 2024. Novel PSSM-based approaches for gene identification using support vector machine. Research Anthology on Bioinformatics, Genomics, and Computational Biology. 1189-1214.
  • Raina, A., Laskar, R.A., Wani, M.R. and Khan, S., 2023. Role of mutation and molecular breeding in the improvement of cowpea, a primary pulse crop. Biotechnologies and Genetics in Plant Mutation Breeding. 53-83.
  • Laskar, R.A., Raina, A., Sheikh, N., Wani, M.R. and Khan, S., 2023. Mutagenesis in genetic improvement of lentil: Development of multipodding mutant via gamma rays. Biotechnologies and Genetics in Plant Mutation Breeding. 253-279.
  • Wani, M.R., Raina, A., Yaqoob, S., Laskar, R.A., Khan, S. and Bhat, T.A., 2023. Induced mutagenesis: A successful breeding strategy for crop improvement. Biotechnologies and Genetics in Plant Mutation Breeding. 69-87.
  • Iqball, T. and Wani, M.A., 2022. Generative Adversarial Networks for Data Augmentation in X-Ray Medical Imaging. Intelligent Systems Reference Library. 341-355.
  • Raina, A., Laskar, R.A., Wani, M.R. and Khan, S., 2022. Plant Breeding Strategies for Abiotic Stress Tolerance in Cereals. Omics Approach to Manage Abiotic Stress in Cereals. 151-177.
  • Mujtaba, T. and Wani, M.A., 2021. Automatic solar panel detection from high-resolution orthoimagery using deep learning segmentation networks. Advances in Intelligent Systems and Computing. 101-122.
  • Wani, M.R. and Shadab, G.G.H.A., 2021. Toxicity of Titanium Dioxide Nanoparticles and Oxidative Stress. Molecular and Integrative Toxicology. 131-148.
  • Wani, M.R., 2021. Role of Genetic Polymorphisms in Breast Cancer. Genetic Polymorphism and Cancer Susceptibility. 165-190.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Introduction to Deep Learning. Studies in Big Data. 1-11.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Supervised Deep Learning in Face Recognition. Studies in Big Data. 95-110.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Unsupervised Deep Learning in Character Recognition. Studies in Big Data. 133-149.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Supervised Deep Learning Architectures. Studies in Big Data. 53-75.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Unsupervised Deep Learning Architectures. Studies in Big Data. 77-94.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Supervised Deep Learning in Fingerprint Recognition. Studies in Big Data. 111-132.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Basics of Supervised Deep Learning. Studies in Big Data. 13-29.
  • Wani, M.A., Bhat, F.A., Afzal, S. and Khan, A.I., 2020. Training Supervised Deep Learning Networks. Studies in Big Data. 31-52.
  • Raina, A., Khan, S., Wani, M.R., Laskar, R.A. and Mushtaq, W., 2019. Chickpea (Cicer arietinum L.) cytogenetics, genetic diversity and breeding. Advances in Plant Breeding Strategies: Legumes. 53-112.
  • Laskar, R.A., Khan, S., Deb, C.R., Tomlekova, N., Wani, M.R., Raina, A. and Amin, R., 2019. Lentil (Lens culinaris Medik.) Diversity, cytogenetics and breeding. Advances in Plant Breeding Strategies: Legumes. 319-369.
  • Kozgar, M.I., Wani, M.R., Khan, S. and Ahmad, P., 2014. Mineral bioavailability through mutation breeding in pulse crops: A review. Improvement of Crops in the Era of Climatic Changes, Volume 1. 191-204.
  • Wani, M.R., Kozgar, M.I., Khan, S., Ahanger, M.A. and Ahmad, P., 2014. Induced mutagenesis for the improvement of pulse crops with special reference to Mung Bean: A Review update. Improvement of Crops in the Era of Climatic Changes, Volume 1. 247-288.
  • Ahmad, P., Qadir, S., Hameed, A., Nisa, N., Azooz, M.M., Wani, M.R., Hasannuzaman, M. and Kazi, A.G., 2014. Brassicas: Responses and tolerance to heavy metal stress. Improvement of Crops in the Era of Climatic Changes. 1-36.
  • Wani, M.R., Sheikh, S.A., Kozgar, M.I. and Ahmad, P., 2014. Wheat improvement: Historical perspective and mutational approach—a review. Improvement of Crops in the Era of Climatic Changes. 297-322.
  • Ahmad, P., Hameed, A., Abd-Allah, E.F., Sheikh, S.A., Wani, M.R., Rasool, S., Jamsheed, S. and Kumar, A., 2013. Biochemical and molecular approaches for drought tolerance in plants. Physiological Mechanisms and Adaptation Strategies in Plants Under Changing Environment. 1-29.
  • Ahanger, M.A., Tyagi, S.R., Wani, M.R. and Ahmad, P., 2013. Drought tolerance: Role of organic osmolytes, growth regulators, and mineral nutrients. Physiological Mechanisms and Adaptation Strategies in Plants Under Changing Environment. 25-55.

Conferences

  • Mearaj, N. and Wani, M.A., 2023. Zero-day Attack Detection with Machine Learning and Deep Learning. Proceedings of the 17th INDIACom; 2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023, 719-725.
  • Nazir, A. and Wani, M.A., 2023. You Only Look Once - Object Detection Models: A Review. Proceedings of the 17th INDIACom; 2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023, 1088-1095.
  • Bhat, I.R. and Wani, M.A., 2023. Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, 1465-1472.
  • Manzoor, K., Wani, M.A. and Afzal, S., 2022. A Deep Neural Network for the Detection of COVID-19 from Chest X-ray Images. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 659-663.
  • Sultan, B. and Wani, M.A., 2022. Multi-data Image Steganography using Generative Adversarial Networks. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 454-459.
  • Sofi, M.A. and Wani, M.A., 2022. Improving Prediction of Protein Secondary Structures using Attention-enhanced Deep Neural Networks. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 664-668.
  • Ahanger, M.M. and Wani, M.A., 2022. Novel Deep Learning Approach for Scientific Literature Classification. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 249-254.
  • Ali, Y. and Wani, M.A., 2022. HAT: Hybrid Adversarial Training to Make Robust Deep Learning Classifiers. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 433-436.
  • Kawa, S.A. and Wani, M.A., 2022. Designing Convolution Neural Network Architecture by utilizing the Complexity Model of the Dataset. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 221-225.
  • Iqball, T. and Wani, M.A., 2022. COVID-19 and Pneumonia Detection using Deep Weighted Ensemble Model. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, 337-340.
  • Wani, M.A., Kantardzic, M., Palade, V., Neagu, D., Yang, L. and Chan, K.Y., 2022. Preface. Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, xxxvii-xxxviii.
  • Ali, S. and Wani, M.A., 2022. Recent Trends in Neural Architecture Search Systems. Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, 1783-1790.
  • Sultan, B. and Wani, M.A., 2021. Generative adversarial network based steganography with different color spaces. Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, 112-119.
  • Lateef, R. and Wani, M.A., 2021. Performance comparison of abstractive text summarization models on short and long text instances. Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, 125-130.
  • Iqball, T. and Wani, M.A., 2021. X-Ray images dataset augmentation with progressively growing generative adversarial network. Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, 93-97.
  • Ali, Y. and Wani, M.A., 2021. Improving training of generative adversarial networks. Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, 81-86.
  • Ahanger, M.M. and Wani, M.A., 2021. Comparative analysis of deep learning approaches for scientific literature classification. Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, 74-80.
  • Qureshi, F.F. and Wani, M.A., 2021. A new clustering algorithm based on non-negative matrix factorization approach. Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, 120-124.
  • Wani, M.A., Sethi, I., Shi, W., Qu, G., Raicu, D.S. and Jin, R., 2021. Preface. Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, XXXVIII-XXXIX.
  • Wani, M.A., Luo, F., Li, X.A., Dou, D. and Bonchi, F., 2020. Preface. Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, xxxii-xxxiii.
  • Wani, M.A. and Bhat, H.F., 2018. A New Position Specific Scoring Vector Based Approach for Wind Speed Prediction. 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018, 1456-1459.
  • Wani, M.A. and Farooq, H., 2018. Synergistic Approach for Combining SVM Algorithms for Wind Speed Prediction. 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018, 1450-1455.
  • Wani, M.A., Bhat, H.F. and Jan, T.R., 2018. Position Specific Scoring Matrix and Synergistic Multiclass SVM for Identification of Genes. Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, 1192-1196.
  • Chen, X., Luo, B., Luo, F., Palade, V. and Wani, M.A., 2018. Preface. Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, 2018-January, xxvi-xxvii.
  • Anand, A., Irfan Ul Haq, M., Vohra, K., Raina, A. and Wani, M.F., 2017. Role of Green Tribology in Sustainability of Mechanical Systems: A State of the Art Survey. Materials Today: Proceedings, 4 (2), 3659-3665.
  • Charoo, M.S., Wani, M.F., Hanief, M. and Rather, M.A., 2017. Tribological Properties of MoS2 Particles as Lubricant Additive on EN31 Alloy Steel and AISI 52100 Steel Ball. Materials Today: Proceedings, 4 (9), 9967-9971.
  • Wani, M.A. and Afzal, S., 2017. A new framework for fine tuning of deep networks. Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, 2017-December, 359-363.
  • Wani, M.A., 2013. Hybrid method for fast SVM training in applications involving large volumes of data. Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013, 2, 491-494.
  • Choudhary, M.A., Wani, M.R., Al-Mahmeed, A. and Al-Rashidi, H., 2012. Challenges and risk management strategy for enhanced oil recovery projects in carbonate reservoirs of a giant field in Middle East. Society of Petroleum Engineers - SPE EOR Conference at Oil and Gas West Asia 2012, OGWA - EOR: Building Towards Sustainable Growth, 1, 457-469.
  • Wani, M.A., 2011. Microarray classification using sub-space grids. Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011, 1, 389-394.
  • Choudhary, M.A., Wani, M.R., Mahmeed, A., Al-Rashidi, H. and Redha, M., 2011. Recovering heavy oil from a middle east carbonate reservoir: EOR potential, screening, challenges, uncertainties and risk management measures. Society of Petroleum Engineers - SPE Enhanced Oil Recovery Conference 2011, EORC 2011, 2, 1536-1546.
  • Chaudhry, M.A., Mahmeed, A.A., Wani, M.R., Mubarak, H.A., Thakur, R.K. and Al-Rashidi, H.R., 2009. Improving oil recovery in heterogeneous carbonate reservoir by optimizing peripheral water injection through application of innovative techniques. SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings, 2, 912-920.
  • Thakur, R.K., Wani, M.R., Choudhary, M.A., Al-Rashidi, H. and Al-Hajeri, M., 2009. Integrated approach to identify fault pattern and fracture corridors in a matured field. 71st European Association of Geoscientists and Engineers Conference and Exhibition 2009: Balancing Global Resources. Incorporating SPE EUROPEC 2009, 6, 3710-3717.
  • Thakur, R.K., Wani, M.R., Choudhary, M.A., Al-Rashidi, H. and Al-Hajeri, M., 2009. Integrated approach to identify fault pattern and fracture corridors in a matured field. Society of Petroleum Engineers - EUROPEC/EAGE Conference and Exhibition 2009.
  • Wani, M.A., 2008. Incremental hybrid approach for microarray classification. Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008, 514-520.
  • Al-Sultan, A. and Wani, M.A., 2008. Hybrid approach based on principal component and multiple discriminant analysis for microarray classification. Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008, 954-960.
  • Perrin, C., Wani, M.R., Akbar, M. and Jain, S., 2007. Integration of borehole image log enhances conventional electrofacies analysis in dual porosity carbonate reservoirs. International Petroleum Technology Conference 2007, IPTC 2007, 3, 1406-1415.
  • Chouhdary, M.A., Al-Rasheedi, H.R. and Wani, M.R., 2007. Improving oil recovery through integrated reservoir management in a mature oil field in Middle East. International Petroleum Technology Conference 2007, IPTC 2007, 3, 1580-1582.
  • Wani, M.F., 2006. Life cycle design and evaluvation at conceptual design stage using digraph and matrix approach. Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, 2006.
  • Wani, M.F., 2006. Tribological properties of SI-AL-O-N ceramic under reciprocating sliding and fretting conditions. Ceramic Engineering and Science Proceedings, 27 (2), 727-737.
  • Sagiroglu, S., Yilmaz, N. and Wani, M.A., 2006. Web robot learning powered by bluetooth communication system. Proceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006, 149-154.
  • Wani, M.F., 2006. Tribomaterial evaluation and ranking using fuzzy multicriteria decision making. Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, 2006.
  • Wani, M.F. and Jan, M., 2006. Failure mode analysis of mechanical systems at conceptual design stage. Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, 2006.
  • Wani, M.F. and Ummar, M., 2006. Diagnosability modeling & diagnosability evaluation of mechanical system at conceptual design stage. Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, 2006.
  • Wani, M.F., 2006. Failure analysis of mechanical systems based on function-cum-structure approach. Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, 2006.
  • Wani, M.A. and Rashid, S., 2005. Parallel algorithm for control chart pattern recognition. Proceedings - ICMLA 2005: Fourth International Conference on Machine Learning and Applications, 2005, 89-93.
  • Wani, M.R. and Al-Kabli, S.K., 2005. Sequence stratigraphy and reservoir characterization of the 2nd eocene dolomite reservoir, wafra field, divided zone, Kuwait-Saudi Arabia. SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings, 145-162.