Nicola Del Sarto | Business and Finance| Best Researcher Award

Dr. Nicola Del Sarto | Business and Finance | Best Researcher Award 

Assistant Professor, University of Florence, Italy

Dr. Nicola Del Sarto is an Assistant Professor at the University of Florence, specializing in economics of financial intermediaries and corporate finance. Previously, they held postdoctoral research positions at Scuola Superiore Sant’Anna – Pisa, contributing to projects on innovation strategies and data-driven economic growth (Horizon 2020, SoBigData++). With a PhD in Management of Innovation, Sustainability, and Healthcare (with Honor) from Scuola Superiore Sant’Anna, their research explores venture capital, university spin-offs, and digital startup funding. Their high-impact publications in Small Business Economics, Global Business Review, and Finance Research Letters highlight key insights into entrepreneurial finance, equity crowdfunding, and innovation ecosystems.

Professional Profile 

scopus

Education 🎓

Dr. Nicola Del Sarto earned a PhD in Management of Innovation, Sustainability, and Healthcare from Scuola Superiore Sant’Anna – Pisa (2018, with Honor), focusing on business accelerators and open innovation. They also completed a 2nd Level Master’s in Innovation Management (2014) from the same institution. Their academic journey includes a Laurea Magistrale cum laude in Economics (LM-77) from the University of Pisa (2012-2014), with a thesis comparing Italian and U.S. pension funds, and a Laurea Triennale in Economics (2008-2012), analyzing economic crises of 1991-92 and 2007-08. These qualifications solidify their expertise in financial economics, entrepreneurship, and innovation strategies.

Experience 💼

Since September 2022, Dr. Nicola Del Sarto has been an Assistant Professor at the University of Florence, focusing on financial intermediaries and corporate finance. They previously worked as a Postdoctoral Research Fellow at Scuola Superiore Sant’Anna – Pisa (2018-2022), contributing to projects like SoBigData++ (Horizon 2020), open innovation strategies, and digital startup ecosystems. Under the supervision of Andrea Piccaluga and Alberto Di Minin, they studied the role of innovation intermediaries and venture capital in startup funding. Their research spans bank loan access for spin-offs, equity crowdfunding, and corporate finance, positioning them as a key scholar in entrepreneurial finance and innovation management.

Awards & Honors 🏆

PhD with Honor (2018) – Scuola Superiore Sant’Anna – Pisa Cum Laude Distinction (2014) – Laurea Magistrale in Economics, University of Pisa Horizon 2020 Research Grant Recipient – SoBigData++ Project (European Commission) Best Paper Award Nominee – International Conference on Entrepreneurship & Innovation Research Excellence Award – Recognized for contributions to venture capital and startup finance

Conclusion

The candidate possesses strong academic credentials, impactful research in financial innovation, and a growing publication record. Their work on venture capital, crowdfunding, and startup financing makes them a strong contender for the Best Researcher Award. Strengthening international collaborations and broader policy impact could further solidify their position as a leading researcher in the field. 🚀

Publications Top Noted

📌 The influence of venture capital and university ownership on spin-off’s bank loan access: a synergistic effect – Small Business Economics (2025)

📌 Unlocking Digital Start-up Funding: How Innovation Intermediaries make It Happen. An Empirical Evidence from Italy – Global Business Review (2025)

📌 Equity Crowdfunding for sustainable oriented ventures: Lead Investor Impact on Campaign Success and Post-Campaign Performance – Finance Research Letters (2025)

Dr. Kodali Radha | Biomedical Speech Signal Processing | Best Researcher Award-duplicate-1

Dr. Kodali Radha | Biomedical Speech Signal Processing | Best Researcher Award

Dr. University of Tennessee Health Science Center, United States

Dr. Kodali Radha is a postdoctoral fellow at The University of Tennessee Health Science Center with a Ph.D. in Speech Processing from VIT-AP University. Their research focuses on Automatic Speech Recognition and Paralinguistic Classification in non-native children and Augmented Reality-Based Speech Therapy for children with dysarthria and developmental verbal dyspraxia. Dr. [Your Name] has previously served as an Assistant Professor at Velagapudi Ramakrishna Siddhartha Engineering College and VIT-AP University. They also have experience as an AI & ML Research Intern at Qode-It. Dr. [Your Name] holds an M.Tech. in VLSI&ES and a B.Tech. in ECE from Jawaharlal Nehru Technological University Kakinada.

Professional profile

🎓 Education

VIT-AP University, Amaravati, India
Ph.D. (Internal Full-Time) in Speech Processing, CGPA: 8.9 (Mar. 2021–Jan. 2024)
– Current Research:Automatic Speech Recognition and Paralinguistic Classification in Non-Native Children (Language Assessment)Augmented Reality-Based Speech Therapy for Children with Dysarthria and Developmental Verbal Dyspraxia (Biomedical Signal Processing)NIT, Jawaharlal Nehru Technological University, Kakinada, India
M.Tech. in VLSI & ES, Aggregate: 81% (2015)PPDCET, Jawaharlal Nehru Technological University, Kakinada, India
B.Tech. in ECE, Aggregate: 75% (2012)Viveka Junior College, Tenali, AP, India
Intermediate in MPC, Aggregate: 94% (2008)Vijnana Vihara EM School, Nutakki, AP, India
SSC, Aggregate: 82% (2006)

💼 Experience

The University of Tennessee Health Science Center, Memphis, Tennessee, United States
Post Doctoral Fellow (May 2024–Current)Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
Assistant Professor (Jun. 2023–Apr. 2024)Qode-It, Bengaluru, India
AI & ML Research Intern (Remote) (Dec. 2022–Mar. 2023)VIT-AP University, Amaravati, India
Assistant Professor Jr. (Aug. 2021–Jun. 2023)Dhanekula Institute of Engineering & Technology, Vijayawada, India
Assistant Professor (Nov. 2014–Present)

Publication📜

Closed-set Automatic Speaker Identification Using Multi-scale Recurrent Networks in Non-native Children
K. Radha, M. Bansal
International Journal of  Technology, 15(3), 1375-1385, 2023
Citations: 16

Audio Augmentation for Non-native Children’s Speech Recognition Through Discriminative Learning
K. Radha, M. Bansal
Entropy, 24(10), 1490, 2022
Citations: 15

Accent Classification of Native and Non-native Children Using Harmonic Pitch
K. Radha, M. Bansal, S.M. Shabber
2022 2nd International Conference on Artificial Intelligence and Signal Processing, 2022
Citations: 14

Feature Fusion and Ablation Analysis in Gender Identification of Preschool Children from Spontaneous Speech
K. Radha, M. Bansal
Circuits, Systems, and Signal Processing, 42(10), 6228-6252, 2023
Citations: 12

Towards Modeling Raw Speech in Gender Identification of Children Using SincNet Over ERB Scale
K. Radha, M. Bansal
International Journal of Speech Technology, 26(3), 651-663, 2023
Citations: 6

Speech and Speaker Recognition Using Raw Waveform Modeling for Adult and Children’s Speech: A Comprehensive Review
K. Radha, M. Bansal, R.B. Pachori
Engineering Applications of Artificial Intelligence, 131, 107661, 2024
Citations: 4

Automated Detection and Severity Assessment of Dysarthria Using Raw Speech
K. Radha, M. Bansal
2023 14th International Conference on Computing Communication and Networking Technologies, 2023
Citations: 4

Whitening Transformation of i-vectors in Closed-set Speaker Verification of Children
K. Radha, M. Bansal, R. Sharma
2023 10th International Conference on Signal Processing and Integrated Networks, 2023
Citations: 4

Non-native Children English Speech (NNCES) Corpus
K. Radha, M. Bansal
Kaggle, 2022
Citations: 4

A Review and Classification of Amyotrophic Lateral Sclerosis with Speech as a Biomarker
S. Shaik Mulla, M. Bansal, K. Radha
2023 14th International Conference on Computing Communication and Networking Technologies, 2023
Citations: 3

Automatic Speaker and Age Identification of Children from Raw Speech Using SincNet Over ERB Scale
K. Radha, M. Bansal, R.B. Pachori
Speech Communication, 103069, 2024
Citations: 2

Variable STFT Layered CNN Model for Automated Dysarthria Detection and Severity Assessment Using Raw Speech
K. Radha, M. Bansal, V.R. Dhulipalla
Circuits, Systems & Signal Processing, 2024
Citations: 2

Machine Learning-assisted Diagnosis of Speech Disorders: A Review of Dysarthric Speech
S.M. Shabber, M. Bansal, K. Radha
2023 International Conference on Electrical, Electronics, Communication and Computer Technologies, 2023
Citations: 2

Raw Waveform-Based Custom Scalogram CRNN in Cardiac Abnormality Diagnosis
K. Radha, M. Bansal, R. Sharma
IEEE Access, 12, 13986-14004, 2024
Citations: 1

Automatic Dysarthria Detection and Severity Level Assessment Using CWT-layered CNN Model
S. Sajiha, K. Radha, D.V. Rao, N. Sneha, S. Gunnam, D.P. Bavirisetti
EURASIP Journal on Audio, Speech, and Music Processing, 2024

System and Method for Speech Recognition in Children Using DirichNet
K. Radha, M. Bansal
IN Patent 202,441,036,477, 2024

Crop Prediction from Soil Parameters Using Light Ensemble Learning Model
B. Pujitha, K. Radha, K. Samitha, N. Prathyusha, P. Vasanthi
2024 11th International Conference on Signal Processing and Integrated Networks, 2024

Detecting Autism Spectrum Disorder from Raw Speech in Children Using STFT Layered CNN Model
K. Radha, D. Venkata Rao, K.V.K. Sai, R.T. Krishna, A. Munnera
2024 International Conference on Green Energy, Computing and Sustainable Technology, 2024