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4 years
India
2027
Male
GPA: 7.97
Pre-MBA industry: Other
Post-MBA industry: Technology
ISB
Full Time MBA
Full Time MBA
3 months ago
11 Jan 2026 11:01
3 months ago
11 Jan 2026 10:01
PRITHWIJIT MUKHERJEE
E-Mail: [email protected] Mob: 7980466351
Summary
PhD student with a strong academic background in AI and Machine Learning, passionate about biomedical signal processing and robotics. Eager to learn and apply my knowledge in fast-paced environments. Proficient in deep learning and Python-based data analysis. Looking to contribute to impactful research and innovative technology development.
Education
1. Doctor of Philosophy (PHD) (Pursuing)
Domain: AI and Machine Learning
Institute: Institute Of Radio Physics And Electronics, University Of Calcutta - Kolkata, West Bengal
Thesis: Analyzing Different Bo-potential Signals And Applying Them in Human-Machine Interface
Guide: Dr. Anisha Halder Roy
Publication: 327+ citations (h-index: 12) across all publications. (Publication list is attached)
• Published Journal Papers: 12
• Published Conference Papers: 18
• Published Book Chapters: 3
• Granted Indian Design Patents: 6
• Published Indian Utility Patents: 5
2. Master of Engineering (ME) 2015
Domain: Electronics and Communication Engineering, Specializing in Wireless Communication
University: Birla Institute Of Technology Mesra – Jharkhand
M.E. Project: A Proposed Handover Scheme for 5G
GPA: 86.5%
3. Bachelor of Technology (B.Tech) 2013
Domain: Electronics and Communication Engineering
University: Seacom Engineering College, West Bengal University Of Technology, West Bengal
M.E. Project: A Proposed Handover Scheme for 5G
DGPA: 7.97
BTECH Projects:
• Analysis of Multiuser CDMA Detection System in Near-Far Environment
• Statistical Analysis of GSM System Architecture
• Analysis of DSSS Multiuser Detection System using Decorrelator Method in Near-Far Environment
4. Higher Secondary (W.B.H.S.E) 2009
School: Baranagore Narendranath Vidyamandir
Aggregate: 81.4%
5. Madhyamik (W.B.S.E) 2007
School: Baranagore Ramakrishna Mission Ashrama High School
Aggregate: 85.1%
Skills
• Python • Machine Learning
• Deep Learning • C Programming
• IOT • EEG Signal Processing
• EMG Signal Processing • Human Machine Interface
• Rehabilitation Device Development • Digital signal Processing
• MATLAB • CATIA
Experience
1. Junior Research Fellow, University of Calcutta 05/2018 to 03/2021
• Worked on the SERB (Science and Engineering Research Board), Government of India–sponsored research project titled “Providing Limbic Support to a Partially Paralytic Person by Generating Movement in the Paralytic Hand through Imitation of Gestures from the Healthy Hand, with Development of a Sense of Touch” (Project No.: EEQ/2017/000665), with a project outlay of ₹34 lakhs.
2. Assistant Professor, ECE Department, Regent Education & Research foundation 08/2016 to 07/2018
• Founded and coordinated the Robotics Club; motivated students for inter-college tech fests.
• Organized the college Tech Fest and assisted in Robotics Fest activities in 2017.
• Served as Convener of the Library Committee.
• Organized workshops on Machine Learning, Arduino, and Python.
• Worked as an examiner and scrutinizer for the West Bengal University of Technology.
• Guided students in innovative hardware/software projects, securing top positions in competitions.
• Contributed to departmental activities including syllabus development, exam duties, and research mentoring.
3. Assistant Professor (Part Time), Regent Education & Research foundation 03/2016 to 08/2016
4. Teaching Assistant, Birla Institute of Technology Mesra 06/2014 to 05/2015
Achievements
• Participated in the Shakti Microprocessor Challenge organized by the Government of India (2021) as a member of a five-member departmental team and emerged as a Quarterfinalist.
• Passed Cisco Global CCNA Certification with 98%.
• Felicitated by PETA India for rescuing and adopting an Indian breed dog.
• Received the Best Paper Award at the IEEE IACIS 2024 Conference, Bengaluru.
• Delivered an invited talk in the event ‘Present Your Research' on "EEG Signal Processing" organized by the Astronova Club, University of Calcutta (2023).
• Organized a tree plantation drive in 2024 at the Rajabazar Science College Campus, University of Calcutta.
• Qualified at the state level in the Interstate Drawing Competition organized by Nehru Children's Museum and Secured prizes in multiple sit-and-draw competitions.
• Recipient of certificates in National Talent Examinations at the school level.
• Represented the IEEE Calcutta University Student Branch at the IEEE Student Congress 2023 and was felicitated for outstanding presentation.
• Secured prizes in multiple inter-college technical events, including: (i) First Position in the Sand Rover event (2023), (ii) First Runner-up in CogniTech (2023), (iii) Third Runner-up in the Model Contest at TELECAST (2024), (iv) Third Prize Winner at STEX (2019), and (v) First Prize in the ‘Present Your Research’ event.
• Participated in and assisted in organizing Tech Fests for 2 years at Seacom Engineering College.
• Served as mentor for a team in Smart India Hackathon 2023 & 2024.
• Felicitated by several NGOs for outstanding community service during the COVID-19 lockdown, including support for underprivileged people and stray dogs.
• Secured prizes in multiple sit-and-draw competitions.
• Completed Basic Horse Riding Course from Royal Calcutta Polo Club.
• Taekwondo – Yellow Belt.
• Served as reviewer for multiple international journals (IEEE, Elsevier, Springer, Nature) and international conferences including MEIE 2025 (China), CMSE 2025 (China), BIBE 2022 & 2025 (China), ACDSA (Philippines; Turkey, 2025), ICECCME 2025 (Tanzania), and many more.
Awards
• Junior Research Fellow (JRF) from 2018 to 2021 under a SERB,Govt. of India, funded project.
• Swami Vivekananda Merit-cum-Means (SVMCM) Scholarship from 2021 to 2025.
• Felicitated by the Executive Committee of the AI and Robotics Club, IEEE CUSB, for invaluable contribution and dedicated service.
• Felicitated by IEEE Calcutta University Student Branch (IEEE CUSB) for outstanding contributions as i)Chair and ii) Volunteer (2024).
• Awarded “Best IEEE CUSB Student Volunteer of All Time ” by IEEE Calcutta University Student Branch for exceptional performance and sustained contributions as a volunteer during 2022–2024.
Extra Curricular
IEEE Leadership & Professional Activities
• Vice Chair, IEEE Calcutta University Student Branch (July 2025 – Present)
-Support overall branch operations and coordinate technical/professional events.
-Organize invited talks, workshops, and AI/Robotics-based competitions.
-Manage activities of the AI & Robotics Club and IEEE CUSB Debate Club as the student advisor of the clubs.
-Prepare and upload event reports through IEEE vTools.
-Provide strategic guidance to strengthen and sustain Student Branch initiatives.
• Chair, IEEE Calcutta University Student Branch (Nov 2023 – July 2025)
-Organized multiple invited talks featuring national and international experts.
-Conducted membership drives, significantly increasing IEEE student membership.
-Prepared annual activity plans, budgets, and detailed vTools reports.
-Coordinated with IEEE Kolkata Section for administrative and financial activities.
-Collaborated with IEEE SBCs and the Institute of Radiophysics & Electronics to host events, competitions, and lecture sessions.
- Managed activities of the AI & Robotics Club and IEEE CUSB Debate Club in various capacities, including President, Secretary, and Treasurer.
• Major Contributions to IEEE Calcutta University Student Branch and IEEE Kolkata Section
-Organized and led 25+ IEEE events, including workshops, technical talks, and expert sessions.
-Led TELECAST 2024 with ISRO scientists; coordinated radar facility visit and model contest.
-Coordinated Smart India Hackathon 2023, 2024 & 2025 internal rounds.
-Organized major events: National Space Day, National Science Day, Career Fair 2023, Career Fair 2024, COMSOL Workshop, AI/BCI Expert Session.
-Conducted technical competitions: Line Follower Robot Race, Debate Competitions, Quizzes, and Intra-University Model Competition (Nov 2025).
-Organized Tree Plantation Drive at Rajabazar Science College Campus, University of Calcutta.
• Founding Roles
-Founder, AI & Robotics Club (Affiliated with IEEE Calcutta University Student Branch).
-Founder, IEEE CUSB Debate Club (Affiliated with IEEE Calcutta University Student Branch).
Academic Responsibilities
-Assisted in conducting laboratory courses: Advanced Programming Lab, Digital Signal Processing Lab, Advanced Programming & IoT Lab, -and Data Structures with Python Lab.
-Volunteered in organizing international conferences CODEC 2013 and CODEC 2023.
-Assisted in organizing departmental events, invited talks, workshops, and student activities.
FDP and Workshop
• Fundamentals of Digital Image and Video Processing with 3D Applications, IIT Kharagpur, May 15–19, 2018
• Millimeter Wave Circuits and Antennas for Short-Range Communication, IIT Kharagpur, June 13–23, 2017
• Brain-Computer Interfacing for Rehabilitative Robotics, Jadavpur University, May 27–29, 2018
• Future of Generative AI in Academic Research and Publishing, IEM Kolkata (Online), Jan 2–6, 2024
• Attended several workshops and training sessions on Signal Processing, Python, Machine Learning, Robotics, Quadcopter Design, and Arduino/Raspberry Pi with IoT.
• Completed specialized trainings on Raspberry Pi, Networking, CCNA, and Robotic Arm Design.
Community Service & Volunteer Work
• CRY (Child Rights and You), Kolkata – Active Volunteer (2014–2015)
• Efforts Foundation (NGO) – Volunteer (2014–2016)
• PETA India – Member
• Koshere Welfare Society – Former Member and Volunteer
• Radio Active India NGO – Associated Member
• Baranagore Helping Hands Society (Government-Registered NGO) – Founding Member and Former President
• Radio Active India Foundation (NGO) – Founder
• COVID-19 Relief Activities (2020–2021): Distributed food and essential medicines to underprivileged communities during the lockdown.
Certifications
Cisco Certified CCNA
Microsoft Technology Associate (MTA) Certification – Python
Language
• English • French • Hindi • Bengali
Personal Details
Date of Birth: 6/1/1992 Marital Status: Single
Address: 60/1 Atul Krishana Banerjee Lane , Kolkata 700036.
Hobbies and Interests
Listening to music, Drawing, Reading Books, Exercising
Declaration
I consider myself familiar with both software and hardware aspects. I am confident in my ability to work effectively both independently and as part of a team. I hereby solemnly declare that all the information furnished above is true and correct to the best of my knowledge and belief. Date: 2025-12-14
Place: Kolkata
Signature: Prithwijit Mukherjee
REFERENCE
1. Dr. Anisha Halder Roy
Assistant Professor, Institute of Radio Physics and Electronics, University of Calcutta
Email: [email protected]
2. Prof. (Dr.) Amit Konar
Professor, Electronics and Telecommunication Department, Jadavpur University
Email: [email protected]
3. Prof. (Dr.) Abhirup Das Barman
Professor, Institute of Radio Physics and Electronics, University of Calcutta
Email: [email protected]
4. Dr. Sumitra Mukhopadhyay
Associate Professor, Institute of Radio Physics and Electronics, University of Calcutta
Email: [email protected]
Publications
Journal Articles
[1] Prithwijit Mukherjee and A. H. Roy, “A deep learning-based comprehensive robotic system for lower limb rehabilitation,” Biomedical Signal Processing and Control, Elsevier, vol. 100, pt. A, p. 107178, 2025. https://doi.org/10.1016/j.bspc.2024.107178 IF: 4.9
[2] Prithwijit Mukherjee and A. H. Roy, “EEG sensor-driven assistive device for elbow and finger rehabilitation using deep learning,” Expert Systems with Applications, Elsevier, vol. 244, p. 122954, 2024. https://doi.org/10.1016/j.eswa.2023.122954 IF: 7.5
[3] Prithwijit Mukherjee and A. H. Roy, “DeePD-Net: A deep learning approach for diagnosing Parkinson's disease using EEG signals with IM-CEEMDAN domain entropy features,” IEEE Sensors Letters, 2025. doi: 10.1109/LSENS.2025.3614149. IF: 2.2
[4] Prithwijit Mukherjee, A. H. Roy, A. Konar, and A. K. Nagar, “EEG and EMG induced pain-sensitive learning controller for robotic knee rehabilitation using deep learning,” IEEE Access, 2025. doi: 10.1109/ACCESS.2025.3621321. IF: 3.6
[5] Prithwijit Mukherjee and A. H. Roy, “A novel deep learning-based technique for driver drowsiness detection,” Human Factors and Ergonomics in Manufacturing & Service Industries, Wiley , vol. 34, no. 6, pp. 667–684, 2024. https://doi.org/10.1002/hfm.21056 IF: 2.2
[6] Prithwijit Mukherjee and A. H. Roy, “A deep learning-based approach for distinguishing different stress levels of the human brain using EEG and pulse rate,” Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis , vol. 27, no. 16, pp. 2303–2324, 2023. https://doi.org/10.1080/10255842.2023.2275547 IF: 1.6.
[7] Prithwijit Mukherjee and A. H. Roy, “Decoding EEG data with deep learning for intelligence quotient assessment,” Optical Memory and Neural Networks, Springer , vol. 34, pp. 441–456, 2025. https://doi.org/10.3103/S1060992X24601921 IF : 0.8
[8] Prithwijit Mukherjee and A. H. Roy, “LungNet: A novel deep learning-based model for lung disease detection,” Optical Memory and Neural Networks (Information Optics), Springer, 2025. IF : 0.8
[9] Prithwijit Mukherjee and A. H. Roy, “A robust deep learning-driven framework for detecting Parkinson's disease using EEG,” Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis , pp. 1–19, 2025. https://doi.org/10.1080/10255842.2025.2556310 IF: 1.6
[10] S. R. Saha, S. Roy, Prithwijit Mukherjee, and A. H. Roy, “An automated liver tumour segmentation and classification model by deep learning-based approaches,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis , vol. 11, no. 3, pp. 638–650, 2022. https://doi.org/10.1080/21681163.2022.2099300 IF: 1.3.
[11] S. De, Prithwijit Mukherjee, and A. H. Roy, “TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features,” Journal of Neuroscience Methods, Elsevier , vol. 419, p. 110463, 2025. https://doi.org/10.1016/j.jneumeth.2025.110463 IF : 2.3
[12] S. De, Prithwijit Mukherjee, and A. H. Roy, “GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals,” Computers in Biology and Medicine, Elsevier, vol. 189, p. 109928, 2025. https://doi.org/10.1016/j.compbiomed.2025.109928 IF : 6.3
[13] Prithwijit Mukherjee and A. H. Roy, “ColourNet: A deep learning framework for colour perception detection from electroencephalography signals,” IEEE Transactions on Cognitive and Developmental Systems. (Submitted)
[14] Prithwijit Mukherjee and A. H. Roy, “ParkNet: A deep learning approach for Parkinson's disease detection from EEG,” IEEE Signal Processing Letters. (Submitted)
Manuscripts In Progress
[15] Prithwijit Mukherjeeand A. H. Roy, “DriveNet: A robust deep learning framework for driver alertness level detection,” Microsystems,Springer. (Working)
[16] Prithwijit Mukherjeeand A. H. Roy, “GMA-Net: A robust deep learning framework for gaming disorder detection using EEG,” IEEE Signal Processing Letters. (Working)
[17] S. De, Prithwijit Mukherjee, and A. H. Roy, “OlfactoNet: A deep learning-based framework for olfactory perception detection,” Engineering Applications of Artificial Intelligence. (Working)
[18] A. Basu, Prithwijit Mukherjee, and A. H. Roy, “FatigueNet: A robust deep learning framework for driver alertness level detection,” Microsystems. (Working)
[19] S. Dey, Prithwijit Mukherjee and A. H. Roy, “NeuPainNet: A deep learning model for automated neuropathic pain detection using EEG.”,IEEE Signal Processing Letters (Working)
PATENTS
I. Indian Design Patents (Granted)
1. P. Mukherjee and A. H. Roy, “Elbow Movement Rehabilitation Device,” Indian Design Patent, Application No. 429585-001, Granted Sep. 6, 2024.
2. A. H. Roy and P. Mukherjee, “Knee Movement Rehabilitation Device,” Indian Design Patent, Application No. 430148-001, Granted Sep. 11, 2024.
3. A. H. Roy and P. Mukherjee, “Finger Movement Rehabilitation Device,” Indian Design Patent, Application No. 430827-001, Granted Sep. 18, 2024.
4. A. H. Roy and P. Mukherjee, “Elbow Movement Rehabilitation Exoskeleton,” Indian Design Patent, Application No. 437914-001, Granted Nov. 20, 2024.
5. A. H. Roy and P. Mukherjee, “Hand Injury Protector,” Indian Design Patent, Application No. 432760-001, Granted Oct. 4, 2024.
6. A. H. Roy and P. Mukherjee, “Smart Hand Exoskeleton,” Indian Design Patent, Application No. 4366947-001, Granted Nov. 7, 2024.
II. Indian Utility Patents (Published)
1. P. Mukherjee and A. H. Roy, “EEG Sensor-Driven Assistive Device for Elbow and Finger Rehabilitation Using Deep Learning,” Indian Patent Application No. 202431069143, Patent Office Journal No. 47/2024, Published Nov. 22, 2024.
2. A. H. Roy and P. Mukherjee, “Deep Learning-Based Approach for Distinguishing Different Stress Levels of the Human Brain Using EEG and Pulse Rate,” Indian Patent Application No. 202431075871, Patent Office Journal No. 42/2024, Published Oct. 12, 2024.
3. A. H. Roy and P. Mukherjee, “A Novel Deep Learning-Based Technique for Driver Drowsiness Detection,” Indian Patent Application No. 202431081553, Patent Office Journal No. 44/2024, Published Nov. 1, 2024.
4. A. H. Roy and P. Mukherjee, “A Deep Learning-Based Comprehensive Robotic System for Lower Limb Rehabilitation,” Indian Patent Application No. 202431086856, Patent Office Journal No. 46/2024, Published Nov. 15, 2024.
5. S. De, P. Mukherjee, and A. H. Roy, “An Innovative Method for Estimating Blood Pressure and Classifying Hypertension Levels Using PPG,” Indian Patent Application No. 202431068453, Patent Office Journal No. 38/2024, Published Sep. 20, 2024.
Book Chapters
[1] P. Mukherjee and A. H. Roy, "Detecting Different Emotional States of Human Brain Using Bio-potential Signals," in Computers and Devices for Communication, Lecture Notes in Networks and Systems, vol. 147, N. R. Das and S. Sarkar, Eds. Singapore: Springer, 2021, pp. 141–148, doi: 10.1007/978-981-15-8366-7_14.
[2] P. Mukherjee, S. Ghosh and A. H. Roy, "A Novel Handoff Algorithm for 5G," in Computers and Devices for Communication, Lecture Notes in Networks and Systems, vol. 147, N. R. Das and S. Sarkar, Eds. Singapore: Springer, 2021, pp. 215–222, doi: 10.1007/978-981-15-8366- 7_23.
[3] D. Biswas, A. Chakraborty, and P. Mukherjee, “Design and Implementation of a Type-1 Fuzzy Controller Driven IoT-Integrated Automated Plant Watering System for Gardening,” in ICT for Intelligent Systems (ICTIS 2024), Lecture Notes in Networks and Systems, vol. 1110, Springer, Singapore, 2024. [Online]. Available: https://doi.org/10.1007/978-981-97-6678-9_47
Conference Papers
[1] P. Mukherjee and A. H. Roy, “Detection of stress in human brain,” in Proc. 2nd Int. Conf. Advanced Computational and Communication Paradigms (ICACCP), Gangtok, India, 2019, pp. 1–6, doi: 10.1109/ICACCP.2019.8882906.
[2] P. Mukherjee and A. H. Roy, “StressNet: A deep learning framework for distinguishing different stress levels in the human brain,” in Proc. Int. Conf. Computing, Intelligence, and Application (CIACON), Durgapur, India, 2025.
[3] P. Mukherjee and A. Halder Roy, “A novel deep learning-based technique for paddy leaf disease detection,” in Proc. Int. Conf. Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, Sep. 2025.
[4] P. Mukherjee, A. H. Roy, and S. Ghosh, “A handoff algorithm for dense femto cellular networks,” in Proc. IEEE Conf. on Devices for Integrated Circuit (CODEC), Kolkata, India, 2023.
[5] P. Mukherjee, A. H. Roy, A. Mitra, and K. Singh, “A novel machine learning-based fall detection system using accelerometer and gyroscope,” in Proc. IEEE Conf. on Devices for Integrated Circuit (CODEC), Kolkata, India, 2023.
[6] P. Mukherjee, D. Biswas, S. De, and A. H. Roy, “PsyNet: A robust deep learning-based framework for detecting psychiatric disorders using EEG signals,” in Proc. Int. Conf. Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2024, pp. 1–6, doi: 10.1109/IACIS61494.2024.10721733.
[7] P. Mukherjee, A. Basu, D. Biswas, and A. H. Roy, “Design of a novel exoskeleton model for rehabilitation of upper limb impairments,” in Proc. Int. Conf. Contemporary Trends in Engineering (ICCTE), North Bengal Univ., Siliguri, India, 2025.
[8] D. Konar, S. De, P. Mukherjee, and A. H. Roy, “A novel human stress level detection technique using EEG,” in Proc. Int. Conf. Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 1–6, doi: 10.1109/NMITCON58196.2023.10276159.
[9] S. De, P. Mukherjee, and A. H. Roy, “A hybrid pain assessment approach with stacked autoencoders and attention-based CP-LSTM,” in Proc. Int. Conf. Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), Ballari, India, 2023, pp. 1–6, doi: 10.1109/AIKIIE60097.2023.10390223.
[10] S. De, P. Mukherjee, and A. H. Roy, “A novel deep learning-based approach for hypertension level detection using PPG,” in Proc. IEEE Silchar Subsection Conf. (SILCON), Silchar, India, 2023, pp. 1–6, doi: 10.1109/SILCON59133.2023.10404813.
[11] S. De, P. Mukherjee, and A. H. Roy, “BPWave: An advanced deep learning framework for continuous non-invasive cuffless blood pressure estimation and hypertension detection,” in Proc. Int. Conf. Smart Systems for Applications in Electrical Sciences (ICSSES), Tumakuru, India, 2024, pp. 1–6, doi: 10.1109/ICSSES62373.2024.10561375.
[12] S. De, P. Mukherjee, and A. H. Roy, “EEG-based intelligence quotient assessment using 1-D convolutional neural network,” in Proc. IEEE Conf. on Devices for Integrated Circuit (CODEC), Kolkata, India, 2023.
[13] S. De, P. Mukherjee, D. Konar, and A. H. Roy, “EEG-based taste perception classification using PCA-enhanced attention-TLSTM neural network,” in Proc. Int. Conf. Computational Intelligence and Communication Technologies (C2I6), Bengaluru, India, 2023.
[14] S. De, P. Mukherjee, D. Konar, and A. H. Roy, “AromaNet: Integrating attention mechanism with convolutional neural network for olfactory perception classification using EEG signals,” in Proc. Int. Conf. Computational Intelligence and Communication Technologies (C2I6), Bengaluru, India, 2023.
[15] S. De, P. Mukherjee, D. Biswas, and A. H. Roy, “A fusion of CNN and grey wolf optimization-enhanced BiGRU for epileptic seizure recognition using EEG signals,” in Proc. Int. Conf. Machine Intelligence and Networks with Wireless Communications (ICMNWC), Bengaluru, India, 2023.
[16] S. Mondal, D. Biswas, P. Mukherjee, and A. H. Roy, “AlcoNet: provisioning a robust deep learning-based framework for detecting alcoholism using EEG,” in Proc. Asian Conf. Intelligent Technologies (ACOIT), Kolar, India, 2024.
[17] S. Mondal, D. Biswas, P. Mukherjee, and A. H. Roy, “ADHD-Net: A robust deep learning-based framework for detecting ADHD patients using EEG,” in Proc. 2nd Global Conf. Communications and Information Technologies (GCCIT), Bengaluru, India, Oct. 2024.
[18] A. Basu, P. Mukherjee, and A. Halder Roy, “CovidNet: Automated detection of COVID-19 and pneumonia from X-ray and CT scans using deep learning,” in Proc. Int. Conf. Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, Sep. 2025.
#HRJ#8ff4104a-81b8-47ec-a65f-c6975acd4f87#
E-Mail: [email protected] Mob: 7980466351
Summary
PhD student with a strong academic background in AI and Machine Learning, passionate about biomedical signal processing and robotics. Eager to learn and apply my knowledge in fast-paced environments. Proficient in deep learning and Python-based data analysis. Looking to contribute to impactful research and innovative technology development.
Education
1. Doctor of Philosophy (PHD) (Pursuing)
Domain: AI and Machine Learning
Institute: Institute Of Radio Physics And Electronics, University Of Calcutta - Kolkata, West Bengal
Thesis: Analyzing Different Bo-potential Signals And Applying Them in Human-Machine Interface
Guide: Dr. Anisha Halder Roy
Publication: 327+ citations (h-index: 12) across all publications. (Publication list is attached)
• Published Journal Papers: 12
• Published Conference Papers: 18
• Published Book Chapters: 3
• Granted Indian Design Patents: 6
• Published Indian Utility Patents: 5
2. Master of Engineering (ME) 2015
Domain: Electronics and Communication Engineering, Specializing in Wireless Communication
University: Birla Institute Of Technology Mesra – Jharkhand
M.E. Project: A Proposed Handover Scheme for 5G
GPA: 86.5%
3. Bachelor of Technology (B.Tech) 2013
Domain: Electronics and Communication Engineering
University: Seacom Engineering College, West Bengal University Of Technology, West Bengal
M.E. Project: A Proposed Handover Scheme for 5G
DGPA: 7.97
BTECH Projects:
• Analysis of Multiuser CDMA Detection System in Near-Far Environment
• Statistical Analysis of GSM System Architecture
• Analysis of DSSS Multiuser Detection System using Decorrelator Method in Near-Far Environment
4. Higher Secondary (W.B.H.S.E) 2009
School: Baranagore Narendranath Vidyamandir
Aggregate: 81.4%
5. Madhyamik (W.B.S.E) 2007
School: Baranagore Ramakrishna Mission Ashrama High School
Aggregate: 85.1%
Skills
• Python • Machine Learning
• Deep Learning • C Programming
• IOT • EEG Signal Processing
• EMG Signal Processing • Human Machine Interface
• Rehabilitation Device Development • Digital signal Processing
• MATLAB • CATIA
Experience
1. Junior Research Fellow, University of Calcutta 05/2018 to 03/2021
• Worked on the SERB (Science and Engineering Research Board), Government of India–sponsored research project titled “Providing Limbic Support to a Partially Paralytic Person by Generating Movement in the Paralytic Hand through Imitation of Gestures from the Healthy Hand, with Development of a Sense of Touch” (Project No.: EEQ/2017/000665), with a project outlay of ₹34 lakhs.
2. Assistant Professor, ECE Department, Regent Education & Research foundation 08/2016 to 07/2018
• Founded and coordinated the Robotics Club; motivated students for inter-college tech fests.
• Organized the college Tech Fest and assisted in Robotics Fest activities in 2017.
• Served as Convener of the Library Committee.
• Organized workshops on Machine Learning, Arduino, and Python.
• Worked as an examiner and scrutinizer for the West Bengal University of Technology.
• Guided students in innovative hardware/software projects, securing top positions in competitions.
• Contributed to departmental activities including syllabus development, exam duties, and research mentoring.
3. Assistant Professor (Part Time), Regent Education & Research foundation 03/2016 to 08/2016
4. Teaching Assistant, Birla Institute of Technology Mesra 06/2014 to 05/2015
Achievements
• Participated in the Shakti Microprocessor Challenge organized by the Government of India (2021) as a member of a five-member departmental team and emerged as a Quarterfinalist.
• Passed Cisco Global CCNA Certification with 98%.
• Felicitated by PETA India for rescuing and adopting an Indian breed dog.
• Received the Best Paper Award at the IEEE IACIS 2024 Conference, Bengaluru.
• Delivered an invited talk in the event ‘Present Your Research' on "EEG Signal Processing" organized by the Astronova Club, University of Calcutta (2023).
• Organized a tree plantation drive in 2024 at the Rajabazar Science College Campus, University of Calcutta.
• Qualified at the state level in the Interstate Drawing Competition organized by Nehru Children's Museum and Secured prizes in multiple sit-and-draw competitions.
• Recipient of certificates in National Talent Examinations at the school level.
• Represented the IEEE Calcutta University Student Branch at the IEEE Student Congress 2023 and was felicitated for outstanding presentation.
• Secured prizes in multiple inter-college technical events, including: (i) First Position in the Sand Rover event (2023), (ii) First Runner-up in CogniTech (2023), (iii) Third Runner-up in the Model Contest at TELECAST (2024), (iv) Third Prize Winner at STEX (2019), and (v) First Prize in the ‘Present Your Research’ event.
• Participated in and assisted in organizing Tech Fests for 2 years at Seacom Engineering College.
• Served as mentor for a team in Smart India Hackathon 2023 & 2024.
• Felicitated by several NGOs for outstanding community service during the COVID-19 lockdown, including support for underprivileged people and stray dogs.
• Secured prizes in multiple sit-and-draw competitions.
• Completed Basic Horse Riding Course from Royal Calcutta Polo Club.
• Taekwondo – Yellow Belt.
• Served as reviewer for multiple international journals (IEEE, Elsevier, Springer, Nature) and international conferences including MEIE 2025 (China), CMSE 2025 (China), BIBE 2022 & 2025 (China), ACDSA (Philippines; Turkey, 2025), ICECCME 2025 (Tanzania), and many more.
Awards
• Junior Research Fellow (JRF) from 2018 to 2021 under a SERB,Govt. of India, funded project.
• Swami Vivekananda Merit-cum-Means (SVMCM) Scholarship from 2021 to 2025.
• Felicitated by the Executive Committee of the AI and Robotics Club, IEEE CUSB, for invaluable contribution and dedicated service.
• Felicitated by IEEE Calcutta University Student Branch (IEEE CUSB) for outstanding contributions as i)Chair and ii) Volunteer (2024).
• Awarded “Best IEEE CUSB Student Volunteer of All Time ” by IEEE Calcutta University Student Branch for exceptional performance and sustained contributions as a volunteer during 2022–2024.
Extra Curricular
IEEE Leadership & Professional Activities
• Vice Chair, IEEE Calcutta University Student Branch (July 2025 – Present)
-Support overall branch operations and coordinate technical/professional events.
-Organize invited talks, workshops, and AI/Robotics-based competitions.
-Manage activities of the AI & Robotics Club and IEEE CUSB Debate Club as the student advisor of the clubs.
-Prepare and upload event reports through IEEE vTools.
-Provide strategic guidance to strengthen and sustain Student Branch initiatives.
• Chair, IEEE Calcutta University Student Branch (Nov 2023 – July 2025)
-Organized multiple invited talks featuring national and international experts.
-Conducted membership drives, significantly increasing IEEE student membership.
-Prepared annual activity plans, budgets, and detailed vTools reports.
-Coordinated with IEEE Kolkata Section for administrative and financial activities.
-Collaborated with IEEE SBCs and the Institute of Radiophysics & Electronics to host events, competitions, and lecture sessions.
- Managed activities of the AI & Robotics Club and IEEE CUSB Debate Club in various capacities, including President, Secretary, and Treasurer.
• Major Contributions to IEEE Calcutta University Student Branch and IEEE Kolkata Section
-Organized and led 25+ IEEE events, including workshops, technical talks, and expert sessions.
-Led TELECAST 2024 with ISRO scientists; coordinated radar facility visit and model contest.
-Coordinated Smart India Hackathon 2023, 2024 & 2025 internal rounds.
-Organized major events: National Space Day, National Science Day, Career Fair 2023, Career Fair 2024, COMSOL Workshop, AI/BCI Expert Session.
-Conducted technical competitions: Line Follower Robot Race, Debate Competitions, Quizzes, and Intra-University Model Competition (Nov 2025).
-Organized Tree Plantation Drive at Rajabazar Science College Campus, University of Calcutta.
• Founding Roles
-Founder, AI & Robotics Club (Affiliated with IEEE Calcutta University Student Branch).
-Founder, IEEE CUSB Debate Club (Affiliated with IEEE Calcutta University Student Branch).
Academic Responsibilities
-Assisted in conducting laboratory courses: Advanced Programming Lab, Digital Signal Processing Lab, Advanced Programming & IoT Lab, -and Data Structures with Python Lab.
-Volunteered in organizing international conferences CODEC 2013 and CODEC 2023.
-Assisted in organizing departmental events, invited talks, workshops, and student activities.
FDP and Workshop
• Fundamentals of Digital Image and Video Processing with 3D Applications, IIT Kharagpur, May 15–19, 2018
• Millimeter Wave Circuits and Antennas for Short-Range Communication, IIT Kharagpur, June 13–23, 2017
• Brain-Computer Interfacing for Rehabilitative Robotics, Jadavpur University, May 27–29, 2018
• Future of Generative AI in Academic Research and Publishing, IEM Kolkata (Online), Jan 2–6, 2024
• Attended several workshops and training sessions on Signal Processing, Python, Machine Learning, Robotics, Quadcopter Design, and Arduino/Raspberry Pi with IoT.
• Completed specialized trainings on Raspberry Pi, Networking, CCNA, and Robotic Arm Design.
Community Service & Volunteer Work
• CRY (Child Rights and You), Kolkata – Active Volunteer (2014–2015)
• Efforts Foundation (NGO) – Volunteer (2014–2016)
• PETA India – Member
• Koshere Welfare Society – Former Member and Volunteer
• Radio Active India NGO – Associated Member
• Baranagore Helping Hands Society (Government-Registered NGO) – Founding Member and Former President
• Radio Active India Foundation (NGO) – Founder
• COVID-19 Relief Activities (2020–2021): Distributed food and essential medicines to underprivileged communities during the lockdown.
Certifications
Cisco Certified CCNA
Microsoft Technology Associate (MTA) Certification – Python
Language
• English • French • Hindi • Bengali
Personal Details
Date of Birth: 6/1/1992 Marital Status: Single
Address: 60/1 Atul Krishana Banerjee Lane , Kolkata 700036.
Hobbies and Interests
Listening to music, Drawing, Reading Books, Exercising
Declaration
I consider myself familiar with both software and hardware aspects. I am confident in my ability to work effectively both independently and as part of a team. I hereby solemnly declare that all the information furnished above is true and correct to the best of my knowledge and belief. Date: 2025-12-14
Place: Kolkata
Signature: Prithwijit Mukherjee
REFERENCE
1. Dr. Anisha Halder Roy
Assistant Professor, Institute of Radio Physics and Electronics, University of Calcutta
Email: [email protected]
2. Prof. (Dr.) Amit Konar
Professor, Electronics and Telecommunication Department, Jadavpur University
Email: [email protected]
3. Prof. (Dr.) Abhirup Das Barman
Professor, Institute of Radio Physics and Electronics, University of Calcutta
Email: [email protected]
4. Dr. Sumitra Mukhopadhyay
Associate Professor, Institute of Radio Physics and Electronics, University of Calcutta
Email: [email protected]
Publications
Journal Articles
[1] Prithwijit Mukherjee and A. H. Roy, “A deep learning-based comprehensive robotic system for lower limb rehabilitation,” Biomedical Signal Processing and Control, Elsevier, vol. 100, pt. A, p. 107178, 2025. https://doi.org/10.1016/j.bspc.2024.107178 IF: 4.9
[2] Prithwijit Mukherjee and A. H. Roy, “EEG sensor-driven assistive device for elbow and finger rehabilitation using deep learning,” Expert Systems with Applications, Elsevier, vol. 244, p. 122954, 2024. https://doi.org/10.1016/j.eswa.2023.122954 IF: 7.5
[3] Prithwijit Mukherjee and A. H. Roy, “DeePD-Net: A deep learning approach for diagnosing Parkinson's disease using EEG signals with IM-CEEMDAN domain entropy features,” IEEE Sensors Letters, 2025. doi: 10.1109/LSENS.2025.3614149. IF: 2.2
[4] Prithwijit Mukherjee, A. H. Roy, A. Konar, and A. K. Nagar, “EEG and EMG induced pain-sensitive learning controller for robotic knee rehabilitation using deep learning,” IEEE Access, 2025. doi: 10.1109/ACCESS.2025.3621321. IF: 3.6
[5] Prithwijit Mukherjee and A. H. Roy, “A novel deep learning-based technique for driver drowsiness detection,” Human Factors and Ergonomics in Manufacturing & Service Industries, Wiley , vol. 34, no. 6, pp. 667–684, 2024. https://doi.org/10.1002/hfm.21056 IF: 2.2
[6] Prithwijit Mukherjee and A. H. Roy, “A deep learning-based approach for distinguishing different stress levels of the human brain using EEG and pulse rate,” Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis , vol. 27, no. 16, pp. 2303–2324, 2023. https://doi.org/10.1080/10255842.2023.2275547 IF: 1.6.
[7] Prithwijit Mukherjee and A. H. Roy, “Decoding EEG data with deep learning for intelligence quotient assessment,” Optical Memory and Neural Networks, Springer , vol. 34, pp. 441–456, 2025. https://doi.org/10.3103/S1060992X24601921 IF : 0.8
[8] Prithwijit Mukherjee and A. H. Roy, “LungNet: A novel deep learning-based model for lung disease detection,” Optical Memory and Neural Networks (Information Optics), Springer, 2025. IF : 0.8
[9] Prithwijit Mukherjee and A. H. Roy, “A robust deep learning-driven framework for detecting Parkinson's disease using EEG,” Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis , pp. 1–19, 2025. https://doi.org/10.1080/10255842.2025.2556310 IF: 1.6
[10] S. R. Saha, S. Roy, Prithwijit Mukherjee, and A. H. Roy, “An automated liver tumour segmentation and classification model by deep learning-based approaches,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis , vol. 11, no. 3, pp. 638–650, 2022. https://doi.org/10.1080/21681163.2022.2099300 IF: 1.3.
[11] S. De, Prithwijit Mukherjee, and A. H. Roy, “TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features,” Journal of Neuroscience Methods, Elsevier , vol. 419, p. 110463, 2025. https://doi.org/10.1016/j.jneumeth.2025.110463 IF : 2.3
[12] S. De, Prithwijit Mukherjee, and A. H. Roy, “GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals,” Computers in Biology and Medicine, Elsevier, vol. 189, p. 109928, 2025. https://doi.org/10.1016/j.compbiomed.2025.109928 IF : 6.3
[13] Prithwijit Mukherjee and A. H. Roy, “ColourNet: A deep learning framework for colour perception detection from electroencephalography signals,” IEEE Transactions on Cognitive and Developmental Systems. (Submitted)
[14] Prithwijit Mukherjee and A. H. Roy, “ParkNet: A deep learning approach for Parkinson's disease detection from EEG,” IEEE Signal Processing Letters. (Submitted)
Manuscripts In Progress
[15] Prithwijit Mukherjeeand A. H. Roy, “DriveNet: A robust deep learning framework for driver alertness level detection,” Microsystems,Springer. (Working)
[16] Prithwijit Mukherjeeand A. H. Roy, “GMA-Net: A robust deep learning framework for gaming disorder detection using EEG,” IEEE Signal Processing Letters. (Working)
[17] S. De, Prithwijit Mukherjee, and A. H. Roy, “OlfactoNet: A deep learning-based framework for olfactory perception detection,” Engineering Applications of Artificial Intelligence. (Working)
[18] A. Basu, Prithwijit Mukherjee, and A. H. Roy, “FatigueNet: A robust deep learning framework for driver alertness level detection,” Microsystems. (Working)
[19] S. Dey, Prithwijit Mukherjee and A. H. Roy, “NeuPainNet: A deep learning model for automated neuropathic pain detection using EEG.”,IEEE Signal Processing Letters (Working)
PATENTS
I. Indian Design Patents (Granted)
1. P. Mukherjee and A. H. Roy, “Elbow Movement Rehabilitation Device,” Indian Design Patent, Application No. 429585-001, Granted Sep. 6, 2024.
2. A. H. Roy and P. Mukherjee, “Knee Movement Rehabilitation Device,” Indian Design Patent, Application No. 430148-001, Granted Sep. 11, 2024.
3. A. H. Roy and P. Mukherjee, “Finger Movement Rehabilitation Device,” Indian Design Patent, Application No. 430827-001, Granted Sep. 18, 2024.
4. A. H. Roy and P. Mukherjee, “Elbow Movement Rehabilitation Exoskeleton,” Indian Design Patent, Application No. 437914-001, Granted Nov. 20, 2024.
5. A. H. Roy and P. Mukherjee, “Hand Injury Protector,” Indian Design Patent, Application No. 432760-001, Granted Oct. 4, 2024.
6. A. H. Roy and P. Mukherjee, “Smart Hand Exoskeleton,” Indian Design Patent, Application No. 4366947-001, Granted Nov. 7, 2024.
II. Indian Utility Patents (Published)
1. P. Mukherjee and A. H. Roy, “EEG Sensor-Driven Assistive Device for Elbow and Finger Rehabilitation Using Deep Learning,” Indian Patent Application No. 202431069143, Patent Office Journal No. 47/2024, Published Nov. 22, 2024.
2. A. H. Roy and P. Mukherjee, “Deep Learning-Based Approach for Distinguishing Different Stress Levels of the Human Brain Using EEG and Pulse Rate,” Indian Patent Application No. 202431075871, Patent Office Journal No. 42/2024, Published Oct. 12, 2024.
3. A. H. Roy and P. Mukherjee, “A Novel Deep Learning-Based Technique for Driver Drowsiness Detection,” Indian Patent Application No. 202431081553, Patent Office Journal No. 44/2024, Published Nov. 1, 2024.
4. A. H. Roy and P. Mukherjee, “A Deep Learning-Based Comprehensive Robotic System for Lower Limb Rehabilitation,” Indian Patent Application No. 202431086856, Patent Office Journal No. 46/2024, Published Nov. 15, 2024.
5. S. De, P. Mukherjee, and A. H. Roy, “An Innovative Method for Estimating Blood Pressure and Classifying Hypertension Levels Using PPG,” Indian Patent Application No. 202431068453, Patent Office Journal No. 38/2024, Published Sep. 20, 2024.
Book Chapters
[1] P. Mukherjee and A. H. Roy, "Detecting Different Emotional States of Human Brain Using Bio-potential Signals," in Computers and Devices for Communication, Lecture Notes in Networks and Systems, vol. 147, N. R. Das and S. Sarkar, Eds. Singapore: Springer, 2021, pp. 141–148, doi: 10.1007/978-981-15-8366-7_14.
[2] P. Mukherjee, S. Ghosh and A. H. Roy, "A Novel Handoff Algorithm for 5G," in Computers and Devices for Communication, Lecture Notes in Networks and Systems, vol. 147, N. R. Das and S. Sarkar, Eds. Singapore: Springer, 2021, pp. 215–222, doi: 10.1007/978-981-15-8366- 7_23.
[3] D. Biswas, A. Chakraborty, and P. Mukherjee, “Design and Implementation of a Type-1 Fuzzy Controller Driven IoT-Integrated Automated Plant Watering System for Gardening,” in ICT for Intelligent Systems (ICTIS 2024), Lecture Notes in Networks and Systems, vol. 1110, Springer, Singapore, 2024. [Online]. Available: https://doi.org/10.1007/978-981-97-6678-9_47
Conference Papers
[1] P. Mukherjee and A. H. Roy, “Detection of stress in human brain,” in Proc. 2nd Int. Conf. Advanced Computational and Communication Paradigms (ICACCP), Gangtok, India, 2019, pp. 1–6, doi: 10.1109/ICACCP.2019.8882906.
[2] P. Mukherjee and A. H. Roy, “StressNet: A deep learning framework for distinguishing different stress levels in the human brain,” in Proc. Int. Conf. Computing, Intelligence, and Application (CIACON), Durgapur, India, 2025.
[3] P. Mukherjee and A. Halder Roy, “A novel deep learning-based technique for paddy leaf disease detection,” in Proc. Int. Conf. Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, Sep. 2025.
[4] P. Mukherjee, A. H. Roy, and S. Ghosh, “A handoff algorithm for dense femto cellular networks,” in Proc. IEEE Conf. on Devices for Integrated Circuit (CODEC), Kolkata, India, 2023.
[5] P. Mukherjee, A. H. Roy, A. Mitra, and K. Singh, “A novel machine learning-based fall detection system using accelerometer and gyroscope,” in Proc. IEEE Conf. on Devices for Integrated Circuit (CODEC), Kolkata, India, 2023.
[6] P. Mukherjee, D. Biswas, S. De, and A. H. Roy, “PsyNet: A robust deep learning-based framework for detecting psychiatric disorders using EEG signals,” in Proc. Int. Conf. Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2024, pp. 1–6, doi: 10.1109/IACIS61494.2024.10721733.
[7] P. Mukherjee, A. Basu, D. Biswas, and A. H. Roy, “Design of a novel exoskeleton model for rehabilitation of upper limb impairments,” in Proc. Int. Conf. Contemporary Trends in Engineering (ICCTE), North Bengal Univ., Siliguri, India, 2025.
[8] D. Konar, S. De, P. Mukherjee, and A. H. Roy, “A novel human stress level detection technique using EEG,” in Proc. Int. Conf. Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 1–6, doi: 10.1109/NMITCON58196.2023.10276159.
[9] S. De, P. Mukherjee, and A. H. Roy, “A hybrid pain assessment approach with stacked autoencoders and attention-based CP-LSTM,” in Proc. Int. Conf. Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), Ballari, India, 2023, pp. 1–6, doi: 10.1109/AIKIIE60097.2023.10390223.
[10] S. De, P. Mukherjee, and A. H. Roy, “A novel deep learning-based approach for hypertension level detection using PPG,” in Proc. IEEE Silchar Subsection Conf. (SILCON), Silchar, India, 2023, pp. 1–6, doi: 10.1109/SILCON59133.2023.10404813.
[11] S. De, P. Mukherjee, and A. H. Roy, “BPWave: An advanced deep learning framework for continuous non-invasive cuffless blood pressure estimation and hypertension detection,” in Proc. Int. Conf. Smart Systems for Applications in Electrical Sciences (ICSSES), Tumakuru, India, 2024, pp. 1–6, doi: 10.1109/ICSSES62373.2024.10561375.
[12] S. De, P. Mukherjee, and A. H. Roy, “EEG-based intelligence quotient assessment using 1-D convolutional neural network,” in Proc. IEEE Conf. on Devices for Integrated Circuit (CODEC), Kolkata, India, 2023.
[13] S. De, P. Mukherjee, D. Konar, and A. H. Roy, “EEG-based taste perception classification using PCA-enhanced attention-TLSTM neural network,” in Proc. Int. Conf. Computational Intelligence and Communication Technologies (C2I6), Bengaluru, India, 2023.
[14] S. De, P. Mukherjee, D. Konar, and A. H. Roy, “AromaNet: Integrating attention mechanism with convolutional neural network for olfactory perception classification using EEG signals,” in Proc. Int. Conf. Computational Intelligence and Communication Technologies (C2I6), Bengaluru, India, 2023.
[15] S. De, P. Mukherjee, D. Biswas, and A. H. Roy, “A fusion of CNN and grey wolf optimization-enhanced BiGRU for epileptic seizure recognition using EEG signals,” in Proc. Int. Conf. Machine Intelligence and Networks with Wireless Communications (ICMNWC), Bengaluru, India, 2023.
[16] S. Mondal, D. Biswas, P. Mukherjee, and A. H. Roy, “AlcoNet: provisioning a robust deep learning-based framework for detecting alcoholism using EEG,” in Proc. Asian Conf. Intelligent Technologies (ACOIT), Kolar, India, 2024.
[17] S. Mondal, D. Biswas, P. Mukherjee, and A. H. Roy, “ADHD-Net: A robust deep learning-based framework for detecting ADHD patients using EEG,” in Proc. 2nd Global Conf. Communications and Information Technologies (GCCIT), Bengaluru, India, Oct. 2024.
[18] A. Basu, P. Mukherjee, and A. Halder Roy, “CovidNet: Automated detection of COVID-19 and pneumonia from X-ray and CT scans using deep learning,” in Proc. Int. Conf. Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, Sep. 2025.
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