Dr. Veena N. Hegde

Dr. Veena N. Hegde

Professor

Ph. D

veenahegdebms.intn@bmsce.ac.in

Research Interests: Biomedical Signal Processing , Embedded Systems, Edge AI Analytics

About

Dr. Veena N. Hegde, serving as a Professor in the Department of Electronics and Communication Engineering at B.M.S College of Engineering, has an academic background, holding a Ph.D. and Masters in Electronics discipline.
Courses handled include Measurement Techniques, Microprocessors, Microcontrollers, Digital Signal Processing, Embedded Systems, RToS and Computer Vision.
- ORCID: https://orcid.org/0000-0001-9968-8850
- Guiding Two Ph.D scholars currently, one candidate got Ph.D Degree awarded in the year 2023.
-Professional Body Association: International Society of Automation (ISA) at BMSCE, actively engaging in ISA Bangalore's activities.
- In recognition of leadership and contributions, was honored as the Volunteer Leader of the Year by ISA HQ, USA in 2017, by ISAB in 2024 and 2025.
- Best UG Project guide recognition at the institution level. SPP KSCST grants twice, enabling them to embark on innovative projects.
-Mentoring along with Industry expert Mr.Anand Iyer, Head ACARD Division, ISA for project titled "Swatchh" carried out in the Department of EIE.
- Secured a grant of 5 Lakhs from IIT Bombay to spearhead FOSSEE activities.
- Worked as Program Chair for National Level National Level Competition for Factory Automation Mitsubishi Electric Cup 2020 at BMSCE.

Funded Projects/Grants:
1. GIAN – “Sensing and Related Technologies for the Grand Challenges of the 21st Century: Climate, Energy, Water, Food, and Mega- cities”, Sanctioned Amount 4.8
Lakhs. Conducted from 11-22 July 2022.
2. Project Title : Performance analysis and PID controller based speed control of AC motor using Virtual Environment
Funding agency : TEQIP III
Scheme : Joint Research & Development
Financial year: April 2019-Sept 2019
Principal Investigator : Dr Santosh R Desai and Dr. Veena N. Hegde
Co-Investigator : Dr. Chinmaya K. A.
Collaborating Institution and Details:
1. Dr. Shiv Kumar Tomar,
Electronics & Communication Engg.,
FET MJP Rohilkhand University, Bareilly. UP
2. Prof. Ajay Kumar Yadav
Electronics & Instrumentation Engg.,
FET MJP Rohilkhand University, Bareilly. UP
Sanctioned Amt: 2.21Lakhs + Applicable GST extra
3. Project Title : Free Open Source of Education (FOSSEE)
Funding agency : Indian Institute of Technology Bombay
Principal Investigator : Dr. Veena N. Hegde and Dr Santosh R Desai
Financial year 2017-18
Sanctioned Amt: 5 Lakhs

Patents:
1 An Indian patent (IND 361322-001) was granted on December 1, 2023, for an IoT and AI-based Pneumonia detection device. The inventors are Dr. Santosh R Desai,
Dr. Veena N Hegde, and Mr. Krishnamurthy K T.
2. An Indian patent application (IND 202541049528) for a "Dual-Polarized All-Metallic Waveguide for Millimeter-Wave Communications via Additive Manufacturing" was
published on May 22, 2025. The inventors listed are Feroz Morab, Karthikeya G. S, Rajeshwari Hegde, Veena N. Hegde, and Santosh R. Desai.
3. An Indian patent application (IND 359964-001) for "An Automatic Sun Tracking Solar System" was published on March 5, 2022. The inventors are Ajaykumar D and Dr.
Veena N Hegde

Consultancy Projects:
• Development of Pressure Gauge- A consultancy work carried out for Shridhan Automation , Bangalore for Rs. 24000/-
• Received INR 60,000 /- towards conduction of iACT 2023 at BMSCE from ISA Bangalore.
• Received SPICES funding on re-imbursement basis for student club MANUSMARAN.
• Received consultancy amount of Rupees 23000/- for “Tone Generator”, from JOSTS Engg. Bangalore in 2018.




Education

  • Ph.D - Biomedical Signal processing
    Visvesvaraya Technological University (VTU)
    Passed Year: 2016 | Program Type: PartTime

Selected Publications

  • Book Chapter or Books | Published On : 28-05-2025
    Achyutha G & Veena N. Hegde
    Transfer Learning in Trash Detection—A Metric-Based Analysis. In: Shukla, P.K., Bhatt, A., Mittal, H., Engelbrecht, A. (eds) Computer Vision and Robotics. CVR 2024. Algorithms for Intelligent Systems. Springer, Singapore.
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  • Conference | Published On : 07-07-2023
    Tejas B.S.;Pavan V.;Rohith H.;Pranam J.;Hegde V.N.
    International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2023, Year 2023. DOI:10.1109/ICSSES58299.2023.10200400
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  • Conference | Published On : 01-06-2023
    Anjali Bhardwaj; Mohammad Muzaffar Hyder; B Pragna; Laieeqa Anche; Veena N. Hegde; Roopa S
    8th International Conference on Communication and Electronics Systems (ICCES) 10.1109/ICCES57224.2023.10192828
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  • Journal | Published On : 14-10-2022
    Feroz Morab; Rajeshwari Hegde; Veena Hegde
    2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) 10.1109/DISCOVER55800.2022.9974636
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  • Journal | Published On : 16-05-2022
    Feroz Morab; Rajeshwari Hegde; Veena Hegde
    High Resolution Detection, Estimation and Location Using GTF DoA Method for Smart Antenna System, Traitement du Signal, Volume 39, Year 2022, Pages 1051-1060 DOI:10.18280/ts.390332
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  • Journal | Published On : 10-01-2022
    Feroz Morab, Rajeshwari Hegde , Veena N. Hegde
    Detection, Estimation and Radiation Formation Using Smart Antennas for the Spatial Location, Traitement du Signal, Volume 39, Year 2022, Pages 389-398 DOI:10.18280/ts.390141
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  • Conference | Published On : 09-12-2021
    Amiti Singh, Veena N. Hegde
    Performance analysis of the variable step-size Griffiths' LMS algorithm for fetal electrocardiography, International Conference on Electrical, Computer and Energy Technologies (ICECET) 10.1109/ICECET52533.2021.9698501
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  • Book Chapter or Books | Published On : 04-03-2020
    Dhruv, P., Nanditha, U., Hegde, V.N
    Dhruv, P., Nanditha, U., Hegde, V.N. (2020). Classification of Clothing Using Convolutional Neural Network. In: Saini, H., Sayal, R., Buyya, R., Aliseri, G. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-15-2043-3_41
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  • Book Chapter or Books | Published On : 11-07-2019
    Sourabh, T.K., Hegde, V.N., Velugula, N.
    Sourabh, T.K., Hegde, V.N., Velugula, N. (2020). Work-in-Progress: Prognostics in Arboriculture Using Computer Vision and Statistical Analysis. In: Auer, M., Ram B., K. (eds) Cyber-physical Systems and Digital Twins. REV2019 2019. Lecture Notes in Networks and Systems, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-23162-0_50
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  • Book Chapter or Books | Published On : 11-07-2019
    Bharadwaj, M., Mahalakshmi, S., Hegde, V.N
    Bharadwaj, M., Mahalakshmi, S., Hegde, V.N. (2020). Work-in-Progress: ‘ParKnow’—A System for Smart Parking Management. In: Auer, M., Ram B., K. (eds) Cyber-physical Systems and Digital Twins. REV2019 2019. Lecture Notes in Networks and Systems, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-23162-0_23
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  • Conference | Published On : 29-11-2017
    S. R. Desai, P. K. Mane, V. N. Hegde and M. M.N
    S. R. Desai, P. K. Mane, V. N. Hegde and M. M.N., "An Approach for Evaluating Program Educational Objectives Using Indirect Method," 2017 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE), Bangalore, India, 2017, pp. 141-145, doi: 10.1109/MITE.2017.00031.
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  • Conference | Published On : 17-11-2017
    V. N. Hegde
    V. N. Hegde, "Smart Headphones Using Active Noise Cancellation - A Case Study for Project Based Learning," 2017 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE), Bangalore, India, 2017, pp. 101-107, doi: 10.1109/MITE.2017.00024.
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  • Conference | Published On : 15-10-2017
    P. V. Hubli, S. Alekhya, S. Vijayakumar, T. Prasad, V. N. Hegde and K. N. Rao
    P. V. Hubli, S. Alekhya, S. Vijayakumar, T. Prasad, V. N. Hegde and K. N. Rao, "Mechanization of Cloth Plication," 2017 14th IEEE India Council International Conference (INDICON), Roorkee, India, 2017, pp. 1-5, doi: 10.1109/INDICON.2017.8487814.
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  • Conference | Published On : 02-02-2017
    V. N. Hegde, R. S. Ullagaddimath and S. Kumuda
    V. N. Hegde, R. S. Ullagaddimath and S. Kumuda, "Low cost eye based human computer interface system (Eye controlled mouse)," 2016 IEEE Annual India Conference (INDICON), Bangalore, India, 2016, pp. 1-6, doi: 10.1109/INDICON.2016.7838906.
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  • Conference | Published On : 21-12-2016
    A. Haider, A. B. Roy, R. Sharma, V. N. Hegde and S. Kumuda
    A. Haider, A. B. Roy, R. Sharma, V. N. Hegde and S. Kumuda, "AquaPredicto — Freshwater quality management system for lakes," 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Agra, India, 2016, pp. 1-8, doi: 10.1109/R10-HTC.2016.7906810.
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  • Conference | Published On : 16-12-2015
    A. Baliga, V. Hegde, R. Sharma, R. D'Souza, S. Chakravorty and G. Ramdas
    A. Baliga, V. Hegde, R. Sharma, R. D'Souza, S. Chakravorty and G. Ramdas, "FORESIGHT - A novel design of travel aid for the blind," 2015 International Conference on Computing and Network Communications (CoCoNet), Trivandrum, India, 2015, pp. 696-702, doi: 10.1109/CoCoNet.2015.7411266.
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  • Journal | Published On : 20-09-2015
    Veena Hegde, Ravishankar Deekshit, P. S. Satyanarayana
    Veena Hegde, Ravishankar Deekshit, P. S. Satyanarayana, "Heart Rate Variability Feature Extraction Using Continuous Wavelet Transform",Journal of Medical Imaging and Health Informatics, Volume 5, Number 5,September 2015, pp. 898-906(9) DOI:10.1166/jmihi.2015.1475
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  • Conference | Published On : 27-08-2015
    Amit Baran Roy; Apratim Halder; Rahul Sharma; Veena Hegde
    This project presents an engineering low cost solution to a contemporary issue of speech recognition in a headphone. The “Smart Headphone” has been brought out as a prototype design in which two principles of Active Noise Cancellation (ANC) have been achieved using a Digital Signal Processor (TMS320C5416). The system will detect the surrounding environment in real time and process the significant information to the user and thereby reducing the risk of accidents. It can warn users of incoming traffic (e.g. fire engines and ambulances) nearby and surrounding danger. It can be controlled by the user's voice commands; such as increasing or decreasing volume with the help of an interface controlled by a microcontroller (MSP430F2013) and the voice recognition module VR 3.1. The multifunction intelligent headphone will also notify the user if someone is trying to talk to them. The system presented here has profound implications for future studies of Wearable Computing and would help the society in a great way reducing the amount of traffic accidents suffered by people due to wearing headphones while driving or walking unaware of the surroundings.
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  • Conference | Published On : 10-08-2015
    R. Sharma, R. Ullagaddimath, A. B. Roy, A. Halder and V. Hegde
    R. Sharma, R. Ullagaddimath, A. B. Roy, A. Halder and V. Hegde, "Optical theremin based true Random Number Generation (TRNG) system," 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, India, 2015, pp. 571-575, doi: 10.1109/ICACCI.2015.7275670.
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  • Conference | Published On : 06-05-2015
    A. B. Roy, A. Halder, R. Sharma and V. Hegde
    A. B. Roy, A. Halder, R. Sharma and V. Hegde, "A novel concept of Smart Headphones using Active Noise Cancellation and speech recognition," 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Avadi, India, 2015, pp. 366-371, doi: 10.1109/ICSTM.2015.7225443
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  • Journal | Published On : 17-09-2013
    Veena N. Hegde , , Ravishankar Deekshit, ,P.S.Satyanarayana
    Veena N. Hegde , , Ravishankar Deekshit, ,P.S.Satyanarayana HEART RATE VARIABILITY ANALYSIS FOR ABNORMALITY DETECTION USING TIME FREQUENCY DISTRIBUTION – SMOOTHED PSEUDO WINGER VILLE METHODITCS, SIP, CS & IT 09, pp. 23–32, 2013. © CS & IT-CSCP 2013, DOI : 10.5121/csit.2013.3103
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  • Journal | Published On : 01-09-2013
    Hegde, Veena N.; Deekshit, Ravishankar; Satyanarayana, P. S.
    Hegde, Veena N.; Deekshit, Ravishankar; Satyanarayana, P. S.,Identification of Electrocardiogram Morphologies Using Continuous Wavelet Transform, Journal of Medical Imaging and Health Informatics, Volume 3, Number 3, September 2013, pp. 417-423(7) https://doi.org/10.1166/jmihi.2013.1175
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  • Journal | Published On : 01-06-2013
    Veena N. Hegde ., Ravishankar Deekshit ., P. S. Satyanarayana .,
    Veena N. Hegde ., Ravishankar Deekshit ., P. S. Satyanarayana .,A review on ECG signal processing and HRV analysis,Journal of Medical Imaging and Health Informatics, Volume 3, Year 2013, Pages 270-279 https://doi.org/10.1166/jmihi.2013.1163
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  • Journal | Published On : 01-06-2013
    Hegde, Veena N.; Deekshit, Ravishankar; Satyanarayana, P. S.
    Random noise cancellation in biomedical signals using variable step size Griffith LMS Adaptive line enhancer, Journal of Mechanics in Medicine and Biology, Volume 12, Year 2012, DOI:10.1142/S0219519412400209
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  • Journal | Published On : 21-08-2012
    VEENA N. HEGDE, RAVISHANKAR DEEKSHIT, and P. S. SATYANARAYANA
    VEENA N. HEGDE, RAVISHANKAR DEEKSHIT, and P. S. SATYANARAYANA,RANDOM NOISE CANCELLATION IN BIOMEDICAL SIGNALS USING VARIABLE STEP SIZE GRIFFITH LMS ADAPTIVE LINE ENHANCER, Journal of Mechanics in Medicine and Biology Vol. 12, No. 04, 1240020 (2012)
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  • Journal | Published On : 08-04-2012
    VEENA N. HEGDE, RAVISHANKAR DEEKSHIT, and P. S. SATYANARAYANA
    VEENA N. HEGDE, RAVISHANKAR DEEKSHIT, and P. S. SATYANARAYANA,DCT-BASED VARIABLE STEP SIZE GRIFFITHS' LMS ALGORITHM FOR RANDOM NOISE CANCELLATION IN ECG,Journal of Mechanics in Medicine and Biology Vol. 12, No. 05, 1250025 (2012) https://doi.org/10.1142/S021951941250025X
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  • Journal | Published On : 28-02-2012
    VEENA N. HEGDE ., RAVISHANKAR DEEKSHIT ., P. S. SATYANARAYANA .,
    This paper presents a new method of random noise cancellation for removing artefacts from biomedical signals using an adaptive line enhancer (ALE). The ALE is implemented using proposed time domain variable step size Griffith least mean square (VSGLMS) algorithm. The technique is based on the adaptation of the gradient of the error surface. The method makes both the step size and the gradient free from observation noise and reduces the gradient mis-adjustment error. Here, both the gradient and the scale factor for the step size are free from the input noise effects, which makes the algorithm robust to both stationary and non-stationary observation noise. Further the additional computational load involved for this is marginal. The VSGLMS adaptive filter technique for ALE is tested on noise cancellation of two types of bio-medical signals — separation of electro cardiogram (ECG) signal from a background of electro myogram (EMG) and heart sound signal (HSS) from lung sound signal (LSS). Application of VSGLAM–ALE for the separation of HSS from LSS and ECG from EMG has been demonstrated using synthetic White Gaussian noise (WGN). It is found that VSGLMS–ALE can separate the desired signals like ECG or HSS at an input SNR of -5 dB to 27 dB. The performance of VSGLMS is compared with state-of-the-art least mean square LMS–ALE and normalised LMS–ALE. The results of PSDs, time domain waveforms, and mean square error (MSE) have proven that VSGLMS performs better than advanced techniques.
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  • Conference | Published On : 29-12-2011
    Veena N. Hegde; Ravishankar Deekshit; P.S. Satyanarayana
    The electrocardiogram (ECG) is an important bioelectrical signal which gives valuable information about the functional aspects of the heart both in normal and abnormal conditions. For several decades a considerable amount of research activity has been directed towards advancement in the clinical diagnosing of this disease using surface ECG and symptoms. This paper compares different methods that have evolved over the years for elimination of different types of noise present in ECG and for characterizing ECG for the detection of myocardial ischemia and infarction which is a life threatening heart disease. The first part of the review gives broad overview of the research undergone in the area of denoising methods deployed and second part describes different types of ischemia and methods to detect the disease using ECG.
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  • Conference | Published On : 11-11-2011
    Veena Hegde; Ravishankar Deekshit; P. S. Satyanarayana
    Veena Hegde; Ravishankar Deekshit; P. S. Satyanarayana, Transform Domain Robust Variable Step Size Griffiths' Adaptive Algorithm for Noise Cancellation in ECG, 2ND INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST?11) ,RESEARCH ARTICLE| DECEMBER 26 2011 https://doi.org/10.1063/1.3669946
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Other Information

1.Faculty advisor and professional body member of ISA , BMSCE since 2010
2.Served as In-charge Head of the department, Instrumentation Technology ,BMSCE from 2007 -2011
3. Served as core committee member in the Anual Tech Symposium of BMSCE, Phase Shift from 2014-2019 and worked as Organizing Secretory of Phase Shift2019
4.Served as Head of the Department of E&I Engg. from 2019- 2022
5. Convener, Industry Institute Interaction Cell [IIIC] , BMSCE
6. Academic Audit Committee BMSCE, Staff Welfare Committee, BMSCE
7.Member of Academic Council, BMS College of Engineering, Bangalore
8. Board of Studies- Chairperson , Electrical Cluster, BMS College of Engineering, Bangalore
9. Board of Studies Member, Hearfullness Research Centre, Sahaj Marg Spirituality Foundation (SMSF), Mysore
10. Board of Studies Member, Dept. of Electronics and Communication Engineering, P D. A. College of Engg., Kalaburgi


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