
Dr. Hera Shaheen
M.Tech(CS), PhD(CSE), NET & GATE qualified
Basic Information:
- Name : Dr. Hera Shaheen
- Gender : Female
- Department : AIML
Work Experience :
- Working as an Assistant Professor in the Department of Artificial Intelligence and Machine Learning since July 1, 2024.
- Worked as an Assistant Professor in the Department of Computer Science and Engineering, NIT Patna from August 2021 to June 2024.
- Worked as an Assistant Professor in the Department of MCA, at Patna Women’s College, (Autonomous), Patna University, from July 2019 to July 2021.
EXTRACURRICULAR ACTIVITIES :
- I Attended a one-week short term course on Foundation of Data Security organized by NIT Patna,(Feb 16-20, 2016).
- I Attended the CEP course on Big Data Computing: A Practical Approach organized by IIT Patna(3rd Dec-7th Dec 2018).
- I Attended National Workshop on “Big Data Analytics,” organized by the Central University of South Bihar(March 14th and 15th,2019).
- I participated in two day Faculty Development Programme on “Blended Learning Tools for Effective Teaching” (2nd and 3rd August 2019) organized by the Department of MCA, Patna Women’s College, Autonomous, Patna University, Patna.
- I participated in two day Faculty Development Programme on “Standards of Excellence in Higher Education” on 5th and 6th July 2019, organized by IQAC, Patna Women’s College, Autonomous, Patna University, Patna.
- Participated in the one day International Webinar on “Understanding Conflict: Internal and International , through the Lens og Natural Language Processing” organized by Dept. of CSE, NIT Patna in association with IEEE Computational Intelligence Society(CIS) held on 17th Dec, 2020.
- Participated in the 5 day Online Faculty Development Programme on “Curriculum Development for Outcome based Education” held from 28th Sept to 3rd Oct, 2020.
- Completed Online Workshop on “Effective Tools for Online Meeting and Teaching” held on 29th and 30th April 2020, organized by Dept. of MCA, Patna Women’s College(Autonomous), Patna University, Patna under the aegis of UGC Paramarsh.
- Participated & completed AICTE training (ATAL) Academy Online FDP on “ Technology Management” from 21st to 25th Sept 2020 at Patna Women’s College.
- Participated and completed the FDP on “Deep Learning and its Applications” organized by Dept. of CSE, NIT Patna Under Electronics and ICT Academy, NIT Patna, held fron 17th-22nd June, 2020 in online mode under the “Scheme of financial assistance for setting up Electronics and ICT Academies”.
- Participated in a two week Online FDP on “Machine Learning for Computer Vision” jointly organized by Electronics and ICT Academies Under Electronics and ICT Academy held fron 29th June to 8th July, 2020 in online mode under the “Scheme of financial assistance for setting up Electronics and ICT Academies”.
- Participated and completed FDP on “Deep Learning and Machine Learning Application in Computer Vision” organized by Dept of CSE, Guru Ghasidas Vishwavidyalaya, Koni Bilaspur(C.G.) under Electronics and ICT Academy held fron 22nd to 28th Aughust, 2020 in online mode under the “Scheme of financial assistance for setting up Electronics and ICT Academies”.
- Participated in Webinar cum workshop on “Performing and Designing experiments on virtual platform” during 8th June to 17th June 2020 organized by M.J.P. Rohilkhand University Bareilly, in association with IIT Roorkee.
- Participated in One week Online FDP on “E-Learning” conducted from 11th to 15th May 2020 Organized by Eswar College of Engineering.
- Participated in AICTE sponsored one week short Term Training Programme on “Modern Optimization Tools in Engineering Field-I” from 5th Oct to 10th Oct 2020 organized by Dept of Electronics and Instrumentation Engineering, SRM Valliammai Engineering College.
- Participated in awebinar on “Virtual LAB” conducted by F.E.T, M.J.P. Rohilkhand University, Bareilly held on 6th June, 2020.
- Completed course on “Programming for Everybody(Getting Started with Pyhton)” by University of Michigan offered through Coursera on 15th Oct, 2020.
- Completed course on “Build a Deep Learning Based Image Classifier with R” by Coursera on 15th Oct, 2020.
- Completed a course on “Neural Neteorks and Deep Learning” on Nov 1, 2020 through Coursera.
- Completed course on “Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning” through Coursera on Oct 16, 2020.
- Participated in the two day Webinar on “NAAC Assessment and Accreditation Process” on 30th and 31st July, 2020 organized by St. Xavier’s College(Autonomous), Kolkata and IQAC and Academic Council.
- Participated in two-day National Level Virtual Training for VIRTUAL TRAINING FOR VIRTUAL TEACHING PLATFORM on 5th and 6th June 2020, organized by Dept of Secretarial Practice, St. Agnes College(Autonomous), Mangaluru, Karnataka.
- Participated and completed Online FDP on Moodle LMS: Exploring New Horizons of Teaching-Learning organized by Dept of MCA & Computer Science, Patna Women’s College in association with Remote Learning throuhj Spoken Tutorial, IIT Mumbai from May 15-21, 2020.
- Participated in the International Webinar on “The Role of E-Learning during Lockdown: Acaemic Challenges and the Road Ahead” held on 8th and 9th May 2020 organized by Dept.of Eduaction, Patna Women’s College, Autonomous, Patna University, Patna.
- Completed NPTEL Online Certification Course on “Introduction to Machine Learning” during Jan-April 2020.
- Completed NPTEL Online Certification Course on “Data Analytics with Python” during Jan-April 2020.
Achievements :
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- Qualified UGC NET in NOV 2017.
- Qualified GATE 2017, having a score of 531.
- Topper of M Tech(CS) from the Central University of South Bihar.
- I have got GOLD MEDAL for securing the highest marks in aggregate of all the semesters in M.Tech(CS).
- Successfully completed all modules of AICTE National Initiative for Technical Teachers Training course.
- TOPPER of MCS (Comp Sc).
- I have got GOLD MEDAL for securing the highest marks in aggregate of all the semesters in Graduation.
- Received Best paper award in conference ICMEET 2023 on “Deep Learning based automatic skin lesion segmentation”.
- Participated in First International Conference on Sustainable Technologies for Computational Intelligence(ICTSCI-2019) during March 29-30, 2019 at Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India. I had presented a Paper titled “MinMaxScaler Binary PSO for Feature Selection.”
- Participated in 5th International Conference on Soft Computing: Theories and Applications(SOCTA-2020), during Dec 25-27, 2020 and presented paper on ‘Ensemble Maximum Likelihood Estimation Based Logistic MinMaxScaler Binary PSO for Feature Selection’.
- Participated in 2nd International Conference on “Impact of Changing Urban Landscape on Man & Environment”, organized by Dept. of Geography, Shershah College, Sasaram in association with Earth Science Review Society on 25th and 26th July 2021, and presented paper on “Growth of Urban Centers as Smart Cities”.
Publication:
Sci Indexed Journal Paper:
• Shaheen H, Singh MP. Skin lesion classification using HG-PSO and YOLOv7 based convolutional network in real time. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine.2023;237(10):1228-1239. https://doi.org/10.1177/09544119231198823
• Hera Shaheen and Maheshwari Prasad Singh “Multiclass skin cancer classification using particle swarm optimization and convolutional neural network with information security,” Journal of Electronic Imaging 32(4), 042102 (1 December 2022). https://doi.org/10.1117/1.JEI.32.4.042102
• Shaheen, H., Singh, M.P. & Singh, A.K. Advanced skin lesion detection via efficientNetB0 and vision transformer model with spatial-aware attention. Multimed Tools Appl (2025). https://doi.org/10.1007/s11042-025-20739-9
Conference Paper :
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- Shaheen H., Agarwal S., Ranjan P. (2022) Ensemble Maximum Likelihood Estimation Based Logistic MinMaxScaler Binary PSO for Feature Selection. In: Sharma T.K., Ahn C.W., Verma O.P., Panigrahi B.K. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-1740-9_58
- Shaheen, H., Agarwal, S., Ranjan, P. (2020). MinMaxScaler Binary PSO for Feature Selection. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_55
- Zahra, F., Kumari,A., Tigga, K., Shaheen, H.(2020). A study on “Smartphone Obsession: A Generation of Digital Zombies” , Explore Journal of Research, Vol XII
- Shaheen, H., & Singh, M. P. (2024). Skin Cancer Classification using YOLONAS based Convolutional Network with Modified Focal Loss. International Journal of Microsystems and IoT, 2(4), 800–808. https://doi.org/10.5281/zenodo.12530550
- Shaheen, H., Singh, M.P. (2025). Deep Learning-Based Automatic Skin Lesion Segmentation. In: Bhateja, V., Chakravarthy, V.V.S.S.S., Anguera, J., Ghosh, A., Flores Fuentes, W. (eds) Signal Processing, Telecommunication and Embedded Systems with AI and ML Applications. ICMEET 2023. Lecture Notes in Electrical Engineering, vol 1281. Springer, Singapore.
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https://doi.org/10.1007/978-981-97-8422-6_5
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- Shaheen, H., Singh, M.P. (2025). Multimodal Skin Cancer Classification: Optimized Convolutional Network with Customized Loss and RNN-Based FCNN Fusion. In: Singh, J.P., Singh, M.P., Singh, A.K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2024. Communications in Computer and Information Science, vol 2367. Springer, Cham. https://doi.org/10.1007/978-3-031-81339-9_1
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