Department of Computer Science

B.S.c(Computer Science)

The Department of Computer Science of New Alipore College under Calcutta University stands for a symbol of intelligence and excellence with its great infrastructure and facilities. With the informative lectures provided by experienced Faculties and well equipped Hardware and Software Laboratory with provision for allocation of ample of resources to the students, this Unit has maintained a consistency in academic success. The Department was formed in the year 2002 with Computer Science (General) course. In 2006, Honours in Computer Science was introduced. This department secures highest number of first class in Calcutta University exams among others. Students taking Computer Sc (Honours) can take Mathematics and Physics/Electronics as General papers. This department also believes in motivating the students for higher studies and Research activities to enhance their knowledge and expertise. For this purpose, the college has established a Science Study Centre i.e. a joint venture with all the Science Departments including the department of Computer Science where the students can get broader views of the latest technological advancements and Research & Developments in Computer Science as well as other branches of Science. At present there are 5 (Five) well experienced faculties, three full time, one part time and one guest lecturer enlightening this department towards its goal.

1. BSc. Honours in Computer Science
2. BSc. General in Computer Science
3. Generic Elective Computer Science

Journal
UGC Care List
1. S. Pramanik, D. Bhattacharjee, M. Nasipuri, &O. Krejcar, LINPE-BL: A Local Descriptor and Broad Learning for Identification of Abnormal Breast Thermograms. IEEE Transactions on Medical Imaging, 2021. (IF: 10.048)
2. A. Kar, S. Pramanik, A. Chakraborty, D. Bhattacharjee, E. S. L. Ho, H. P. H. Shum, “LMZMPM: Local Modified Zernike Moment Per-unit Mass for Robust Human Face Recognition,” IEEE Transactions on Information Forensics and Security. (IF: 7.178)
3. S. Pramanik, S. Ghosh, D. Bhattacharjee, M. Nasipuri, “Segmentation of Breast-region in Breast Thermogram using Arc-approximation and Triangular-space Search (BATS),” IEEE Transactions on Instrumentation and Measurement, vol.69, no. 7, pp. 4785-4795. DOI: 10.1109/TIM.2019.2956362. ISSN: Print-0018-9456, Electronic: 1557-9662. (IF: 4.016).
4. S. Pramanik, D. Bhattacharjee, M. Nasipuri, “MSPSF: A Multi-scale Local Intensity Measurement Function for Segmentation of Breast Thermogram,” IEEE Transactions on Instrumentation and Measurement,vol. 69, no. 6, pp. 2722-2733. DOI: 10.1109/TIM.2019.2925879. ISSN: Print-0018-9456, Electronic-1557-9662. (IF: 4.016).
5. S. Pramanik, D. Banik, D. Bhattacharjee, M. Nasipuri, M. K. Bhowmik, G. Majumdar, “Suspicious-region segmentation from breast thermogram using DLPE-based level set method,” IEEE Transactions on Medical Imaging, vol. 38, no. 2, pp. 572-584. DOI: 10.1109/TMI.2018.2867620. (IF: 10.048). ISSN: Print-0278-0062, Electronic-1558-254X
6. S. Pramanik, D. Bhattacharjee, M. Nasipuri, “Breast abnormality detection using combined texture and vascular features,” Int. J. of Computational Science and Engineering, vol. 18, no. 2, 2019, pp. 140-153. DOI: 10.1504/IJCSE.2019.10019159 (UGC listed, DBLP, Scopus Indexing). ISSN: Print-1742-7185, Electronic-1742-7193
7. S. Pramanik, S. Prusty, D. Bhattacharjee, & P. K. Bhunre, “A Region-to-pixel based Multi-sensor Image Fusion,” Procedia Technology, 10(2013), 2013, pp. 654-662. ISSN: 2212-0173 (UGC listed)

• S. Pramanik, D. Bhattacharjee, “An approach: Modality reduction and face-sketch recognition,” Int. J. of Computational Intelligence and Informatics, 1(2), 2011, pp. 95-100. ISSN: Print- 2231-0258, Electronic-2349-6363.
• A. Choudhury, & B. K. Sikdar, Modeling Remapping Based Fault Tolerance Techniques for Chip Multiprocessor Cache with Design Space Exploration. Journal of Electronic Testing, 36(1), 2020, 59-73.
• S. Gurung, P. Rai, H. Sikhwal, M. Limboo, & M. K. Ghose, HYBRIDIZATION OF VISUAL CRYPTOGRAPHY AND IMAGE REALIZATION STEGANOGRAPHY, 2020.
• S. Das, P. Rai, & S. Chatterji, Deep level analysis of legitimacy in Bengali news sentences. Transactions on Asian and Low-Resource Language Information Processing, 21(1), 2021, 1-18.
• P. Rai, & S. Chatterji, Annotation Projection-based Dependency Parser Development for Nepali. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(2), 2022, 1-19.
• P. Rai, S. Chatterji, & B. G. Kim, Deep Learning based Sequence Labeling Tools for Nepali. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023.
• Sarkar, H., Banerjee, A., Mitra, S. P., Sen, P., Bhattacharya, A. B., & Sengupta, G. (2019). A comparative study of ELF and VLF noise characteristics of nor’wester at a low latitude tropical station. SN Applied Sciences, 1, 1-8.
• Banerjee, A., & Bhattacharya, R. (2022). On the Transient Response of the Troposphere and Ionosphere during Annular Solar Eclipse Using Radio Signal Analysis. Geomagnetism and Aeronomy, 62(Suppl 1), S142-S158.

Others:

• Abhijit Banerjee, Goutam K Das, Asit B Bhattacharya and Hirak Sarkar, Solar Modulation of the Terrestrial Atmosphere and the associated Climatic Changes, Journal of Science, Engineering, Health and Management (JSEHM),1(4),43-50,July 2017
• Hirak Sarkar, Abhijit Banerjee, Sonali Das and Asit B Bhattacharya, Design of a coupled log periodic dipole array for receiving radio signal from distance Sun, Journal of Science, Engineering, Health and Management (JSEHM), 1(1), 7-15,2017
• Abhijit Banerjee, Asit B Bhattacharya, Chayan Dey and Gautam Sengupta, Solar System Dynamics for terrestrial coupling, Journal of Science, Engineering, Health and Management (JSEHM),1(1),35-42, 2017.
• A. Banerjee and A.B. Bhattacharya, Mysterious behavior of Radio Signal reception from Eclipsed Super Blue Blood Moon, Techno International Journal of Health, Engineering, Management & Science, 2(4), 158-165, 2018
• Hirak Sarkar, Paramita Sen and Abhijit Banerjee, Asit B. Bhattacharya, and Jeffery M. Lichtman, Emission of Beam of Electromagnetic Radiation from Pulsating Star, Techno International Journal of Health, Engineering, Management & Science (TIJHEMS),2(2),16-20,2018.
• Abhijit Banerjee, Asit B Bhattacharya et al., Propagation of Radio Signals in presence of the Ionospheric D-Layer: an essential element when planning Radio Communications Network, TIU Transactions on Intelligent Computing (TTIC), 2, 35-40, 2018.
• Abhijit Banerjee, Behavioral study of Doppler Radio signal response on ionospheric layers owing to Super Blue Blood Moon, TIU Transactions on Intelligent Computing, (TTIC), 1, 41-43.
• M. Roy Chowdhury, S. Biswas, A. Banerjee, J. Pandit and A.B. Bhattacharya, Precursory effects in the sferics level before the SW monsoon onset, TIU Transactions on Intelligent Computing (TTIC), 2, 1-9, 2018.
• Abhijit Banerjee, Amitlal Bhattacharya, Rina Bhattacharya, et. al., Radio signal analysis of super cyclonic storm Amphan, Journal of Multidisciplinary Research (JISUJMR), 2020, 2(1), 151-162.
• Amitlal Bhattacharya, Abhijit Banerjee, Rina Bhattacharya, Analysis of the Stability parameters in forecasting thunderstorm potential over Dhaka, Bangladesh, Journal of Multidisciplinary Research (JISUJMR), 2020, 2(1), 90-97.
• Abhijit Banerjee, Rina Bhattacharya, Amitlal Bhattacharya et al., Transient behaviour of atmosphere during annular solar eclipse, Journal of Multidisciplinary Research (JISUJMR), 2020, 2(1), 268-278
• Abhijit Banerjee, R. Bhattacharya, Radiosonde Data Analysis for Predicting the Thunderstorm Potential Instabilities in Tropics, Research & Reviews: Journal of Space Science & Technology, September-2021; 10(2), 11-21.

Book/Book Chapters
8. S. Pramanik, D. Banik, D. Bhattacharjee, M. Nasipuri, “A computer-aided hybrid framework for early diagnosis of breast cancer,” ACSS 2018, Advanced Computing and Systems for Security, Springer Verlag, Singapore, Vol. 8, pp. 111-124. (Web of Science, DBLP, Scopus indexing). ISSN: 978-981-13-3701-7
9. S. Pramanik, D. Banik, D. Bhattacharjee, M. Nasipuri, M. K. Bhowmik, “Breast blood perfusion (BBP) model and its application in differentiation of malignant and benign breast,” Advanced Computational and Communication Paradigms, Springer, Singapore, 2018, pp. 406-0413. ISSN: 978-981-10-8239-9
10. S. Pramanik, M. K. Bhowmik, D. Bhattacharjee, and M. Nasipuri, “Hybrid Intelligent Techniques for Segmentation of Breast Thermograms,” In Hybrid Soft Computing for Image Segmentation, Springer, Cham, 2016, pp. 255-289. ISSN: 978-3-319-47222-5
11. Asit B Bhattacharya, Abhijit Banerjee and Hirak Sarkar, Today’s biggest Cosmic Mysteries, LAP LAMBERT Academic Publishing, Germany, January 2017. ISBN: 978-6202058834.

Conferences
1. Abhijit Banerjee, Subashis Biswas, Asit B. Bhattacharya, “New Horizons X-band Communications System for exploring Pluto's Atmosphere”, ICCECE 2016, IEEE Explore Digital Library, 15 August 2017, Electronic ISBN: 978-1-5090-4432-0, Print on Demand(PoD) ISBN: 978-1-5090-4433-7.
2. Abhijit Banerjee, Sonali Das, Asit B. Bhattacharya, “Sunspot Occurrences and the probable effect of Interference with HF Radio Communications in the Earth’s Ionosphere”, ICCECE 2016, IEEE Explore Digital Library, 15 August 2017, Electronic ISBN: 978-1-5090-4432-0, Print on Demand(PoD) ISBN: 978-1-5090-4433-7.
3. Meghdut Roy Chowdhury, Subashis Biswas, Abhijit Banerjee, Jyotirmoy Pandit, Asit B. Bhattacharya, “Response in the Field Intensity of Sferics at 40 kHz Signal Propagation caused by Massive Earthquake Tremors in Kolkata”, ICCECE 2016, IEEE Explore Digital Library, 15 August 2017, Electronic ISBN: 978-1-5090-4432-0, Print on Demand(PoD) ISBN: 978-1-5090-4433-7.
4. Abhijit Banerjee, Asit B. Bhattacharya and et.al. “Propagation of Radio Signals in presence of the Ionospheric D-Layer: an essential element when planning Radio Communications Network”, ICCECE, IEEE Explore, 2017.
5. M. Roy Chowdhury, S. Biswas, A. Banerjee, J. Pandit & A. B. Bhattacharya, “Precursory effects in the sferics level before the SW monsoon onset”, ICCECE, IEEE Explore, 2017.
6. A. Banerjee, H. Sarkar and A. B. Bhattacharya, “Studies on Solar Radio Signal variations at frequencies in the VLF and VHF bands” ICCECE, IEEE Explore, 2017, 08 November 2018, Electronic ISBN: 978-1-5386-1176-0, Print on Demand(PoD) ISBN: 978-1-5386-1178-4.
7. S. Pramanik, D. Bhattacharjee, &M. Nasipuri,“Breast Abnormality Detection Using Texture Feature Extracted by Difference-Based Variable-Size Local Filter (DVLF),” In Proceedings of Research and Applications in Artificial Intelligence (pp. 111-120). Springer, Singapore, 2021.
8. D. Banik, S. Pramanik, D. Bhattacharjee, M. Nasipuri, M. K. Bhowmik, “Breast Cancer Detection using Thermal Breast Image: A Survey,” Proc. in National Conference on Recent Trends in Engineering and Technology, 2017.
9. S. Pramanik, D. Bhattacharjee, and M. Nasipuri, “Multi-resolution analysis to differentiate the healthy and unhealthy breast using breast thermogram,” In IEEE International Conference on Systems in Medicine and Biology (ICSMB-2016), 2016, pp. 49-52.
10. S. Pramanik, D. Bhattacharjee, and M. Nasipuri, “Texture analysis of breast thermogram for differentiation of malignant and benign breast,” In IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI-2016), 2016, pp. 8-14. (DBLP, Web of Science, Scopus Indexing) (Best Paper Awarded)
11. S. Pramanik, D. Bhattacharjee, and M. Nasipuri, “Wavelet based thermogram analysis for breast cancer detection,” In EEE International Symposium on Advanced Computing and Communication (ISACC-2015), 2015, pp. 205-212.
12. S. Pramanik, D. Bhattacharjee, M. Nasipuri, “Breast Cancer Detection using Block Count Measure,” Proc. in International conference on computing and communication systems, IGI Global, 2015, pp. 143-147.
13. S. Pramanik, and D. Bhattacharjee, “Geometric feature based face-sketch recognition,” In IEEE International Conference onPattern Recognition, Informatics and Medical Engineering (PRIME-2012), 2012, pp. 409-415.
14. S. Pramanik, and D. Bhattacharjee, “Multi-sensor image fusion based on moment calculation,” In IEEE 2nd International Conference on Parallel Distributed and Grid Computing (PDGC-2012), 2012, pp. 447-451.
15. S. Pramanik, D. Bhattacharjee, and S. Prusty, “Multi-sensor image fusion based on statistical features and wavelet transform,” In IEEE Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG-2013), 2013, pp. 1-4.
16. Pooja Rai, Sandeep Gurung, M.K. Ghose, “A Discrete Wavelet Transform based Adaptive Steganography for Digital Images”, Proc. Of Third International Symposium on Women in Computing and Informatics (WCI-2015) at SCMS, Aluva, Kochi, Kerala, India, 10 - 13 August 2015, pp.432-437, available online on ACM Digital Library (http://dl.acm.org/citation.cfm?doid=2791405.2791514)

Student Projects:
1. Prediction of Instable atmosphere using meteorological surface data through machine learning; Priyanshu Kumar Mishra, Rohit kumar Yadav, Kritik Sharma; Guided by Prof. Abhijit Banerjee, 2023
2. Brachial Plexus Segmentation using U-Net; Shankhadeep Purkait, Prem Kumar Sharma, Surajit Dey; Guided by Dr. Sourav Pramanik, 2023.
3. Attendance Register Application; Abhik Ranjan Halder, Subhrajyoti Saha, Subha Das; Guided by Prof. Bikram Nath, 2023.
4. Improving Neural Machine Translation of Bengali to hindi through linguistic feature integration; Dia Maity, Sohom Banerjee, Sayak Saha; Guided by Prof. Pooja Rai, 2023.
5. Breast cancer detection through mammography analysis using ensemble learning; Priyam Mondal, Arpan Paul, Saswata Howlader; Guided by Dr. Sourav Pramanik, 2023.
6. Internet Banking; Amit Prasad, MD Ayan Ali; Guided by Prof. Anindita Bakshi, 2023.
7. Bengali Text Summarization using long short-term memory (LSTM); Piu Singha, Soumi Chandra, Payel Bera; Guided by Prof. Pooja Rai, 2023.
8. Development of Department android app using Java and Firebase; Swarnendu Kumar Basu, Rishabh Gon; Guided by Prof. Bikram Nath, 2023.
9. Object Detection and Trajectory prediction using Faster RCNN and Kalman Filter; Sayoki Ghosh, Chandrangsu Sarkar, Tamal Das; Guided by Dr. Sourav Pramanik, 2023.
10. IoT Based Meteorological Parameters and Spatial Recognition System; Shreya Basu, Priya Chakraborty, Sayan Das , Bitan Chowdhury; Guided by Prof. Abhijit Banerjee, 2022.
11. Extract Meaningful Data from Visiting Card using NER Model; Suvam Pal, Supriyo Shaw; Guided by Dr. Sourav Pramanik, 2022.
12. Image Cryptography; Indrasish Banerjee, Manjit Naskar, Vivek Kumar Kamat; Guided by Prof. Bikram Nath, 2022.
13. Food for Needy: A Web-based System; Bipul Dey, Rion Das, Akash Das, Arijit Patra; Guided by Dr. Sourav Pramanik, 2022.
14. Stock Management System; Srijita Majumder; Joydeep Das, Adrija Sarkar, Abaidullah Seikh; Guided by Prof. Bikram Nath, 2022.
15. Image Steganography using Blue Channel Replacement Technique; Biswajit Das, Rahul Prasad Shaw, Raza Karim, Sayantani Bose, Shouvik Shasmal; Guided by Dr. Sourav Pramanik, 2021.
16. Covi Plus; Aritra Dutta, Dhrubojyoti Roychowdhury, Moumita Maity, Sayani Deb, Sk Masud Reja; Guided by Prof. Bikram Nath, 2021.
17. Development of Hourly Based Cryptocurrency Prediction Website: Machine learning and Deep Learning Approaches; Sreshtha Basu, Sujoy Ghosh, Sounak Pal, Sourima Saha; Guided by Prof. Pooja Rai, 2021.
18. A Model design of multi-controller based wireless antenna imaging UAV; Soham Chatterjee, Sanjita Moyra, Ashim Nandan, Subham Chhatait; Guided by Prof. Abhijit Banerjee, 2023

College funded Projects:
1. Prediction of breast diseases through deep-learning based computer assisted diagnosis system using images captured by non-invasive modality; Principal Investigator: Dr. Sourav Pramanik; Duration: 1.5 Year; Status: On-going

1. Highly equipped  Hardware laboratory with the following equipments;
   • Fixed DC Power Supply with Short Circuit Protection (+5v/-5v, 1 Amp)
   • Digital Logic Trainer Kit, one bread board fixed DC source 5V 203A, Logic level Input switches fixed DC source +/- 15V & 0.5A, Logic Level Indicators, Logic Pulsar and clock generator with L/H variation, one seven segment display with Decoder, Potentiometer 10K.
   • Analog- Digital Trainer kit (compatible for digital and analogue both experiments).
   • 0.1 Hz to 1 MHz Function Generator with 4 digit digital display for frequency readout Sine/Square/Triangle, Amplitude : 5mV to 20 Vpp.
   • DC Variable Power Supply with Short Circuit Protection (+/-0->0.5v,+/-12v,1 Amp).
   • Function Generator 1MHz Digital Read Out.
   • Microprocessor-8085 (SDA-85LC 8085, DYNALOG) Trainer with Power Adaptor with all accessories.
   • I.C. Tester for TTL Series.
   • Oscilloscope 10MHz (Dual Trace) Sensitivity 5 mV to 20V/div, TB- 0.5µs-10 ns/div
   • A.M. and F.M. Trainer kit.
   • Several Specific TTL ICs for analog, digital and architectural circuit designing.
   • Breadboards.
   • Multimeter.
   • Single strand wire.
   • µ(micro)Ammeter(0-50 µA ,0-100µA).
   • Variac (220V-50Hz).
   • Analog Milliammeter specification-(0-100mA).
   • Frequency measurable Multimeter.
   • Q-meter.
   • Analog Voltmeter.
   • Digital Voltmeter.
2. Highly equipped  Software laboratory with the following  resources:
   • More than 30 computers with following configurations:

   Processor	Intel(R) Core(TM) i3-6100 CPU @3.70 GHz	Intel(R) Core(TM) i3-7100 CPU @3.90 GHz
   Installed Memory(RAM)	4GB
   Operating System	Dual boot (Windows 7/10 & Ubuntu)

   • LCD Display for projection
3. Printing facilities for the students.
4. Projector for smart class.
5. Seminar Library.
6. Internet facility.
   1.  

Email id: csnewaliporecollege@gmail.com