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Research Publication, Book Chapter and Patents
📜 Publications, Patents & Achievements
Book Chapter – Pennsylvania, USA (August 2025)
A. Sinha and P. Pisal authored the book chapter Taler: Balancing Accountability and Privacy in Electronic Payments, published in Springer Nature Switzerland.
This chapter, part of The Impact of Artificial Intelligence on Finance: Transforming Financial Technologies (Vol. 53, pp. 529–550), introduces Taler, an electronic payment system inspired by Chaum’s protocols. It balances customer privacy with merchant accountability and offers a cost-effective, privacy-preserving alternative to blockchain and traditional payment systems.
Trademark – Pennsylvania, USA (June 2025)
On June 10, 2025, A. Sinha registered the trademark MIO GELDISPENSE (U.S. Trademark Serial No. 98811440) with the United States Patent and Trademark Office (USPTO). The status of the mark is currently Live.
Conference & Journal – Kerala/Hybrid, India (August 2025)
A. Sinha and R. A. Reddy presented Partial Ranking Methodologies for Noisy Measurement Data and Their Application in Business Process Analysis at the 67th National Convention of the Indian Institution of Industrial Engineering (IIIE).
The research proposes three innovative ranking methods to handle noisy measurement data and resolve ties/non-transitive relationships, enabling clearer differentiation of business process variants. The approach was demonstrated using the Purchase-to-Pay (P2P) process.
Conference & Journal – Lucknow/Hybrid, India (Feb 2025)
At the 4th Annual International Research Conference (AIRC) hosted by the Indian Institute of Management Lucknow, A. Sinha presented a study on Manufacturing Workers in Developing Countries and the Role of Monitoring Health through Virtual Health Assistance (VHA).
The paper, published in the conference proceedings, examined how AI, telemedicine, and wearable devices can improve worker health and productivity in developing nations.
👉 Conference Link
Conference & Journal – Delhi/Hybrid, India (Dec 2024)
In December 2024, A. Sinha published Manufacturing Workers in Developing Countries and the Role of Monitoring Health through Virtual Health Assistance (VHA) in the ABS International Journal of Management (Vol. 12, Issue 2).
The article highlighted enabling technologies, implementation barriers, and the importance of government support for adopting VHA in the manufacturing sector.
👉 Read Full Article
Competition & Journal – Pennsylvania, USA (July 2022)
As part of a four-member team of Engineering Leadership students at Pennsylvania State University, A. Sinha co-developed an innovative stormwater management system for the ACRP University Design Competition.
Their project, Environmental Interactions Stormwater Management, earned Third Place in the Airport Environmental Interactions Challenge and was published by the Transportation Research Board, The National Academies of Sciences, Engineering, and Medicine.
👉 See Winners
Competition & Journal – Pennsylvania, USA (July 2022)
The same stormwater management project was also recognized by the Virginia Space Grant Consortium, on behalf of the Airport Cooperative Research Program (ACRP), confirming its value as an environmental and engineering solution.
Conference & Under-Review Publication – Pennsylvania, USA (Aug 2025)
The paper Partial Ranking Methodologies for Noisy Measurement Data and Their Application in Business Process Analysis by A. Sinha and R. A. Reddy has also been submitted for review to the Springer Lecture Notes in Mechanical Engineering series.
Patent & Under-Review Publication – Pennsylvania, USA (May 2025)
In May 2025, A. Sinha filed a U.S. patent application for the Mio Geldispense product (Application No. 30/005,362). The patent is currently pending with the USPTO.
Conference & Under-Review Publication – Pune, India (Apr 2025)
A collaborative paper titled Capturing SARS-CoV-2 Mutations with NLP was co-authored by O. Mayekar, A. Sinha, V. R. Vekariya, and P. Vadde. It was presented at GC4T-2025: Wireless Communications and Networking Conference, hosted by Dr. D. Y. Patil School of Science & Technology, Pune.
The proceedings are currently under review for publication in IEEE Xplore (Scopus-indexed).
Travelers Aid International @ Philadelphia International Airport
Strategy/Information Consultant — May 2024 to Present
Drove on-time sourcing of key software initiatives while ensuring compliance with cost and regulatory requirements, and aligned Integrated Services sourcing strategies with other business unit strategies to maximize leverage.
Built strong cross-functional relationships across various internal business units and departments to further align on strategic category vision and identify savings opportunities.
Instigated and supported supply base optimization and advanced strategic priorities by leveraging enterprise-wide spend.
As a progressive thinker, actively explored new ways to drive efficiencies, incorporating best-in-class intelligence and practices.
Participated in cyclic team meetings and strategic discussions to enhance overall business functions and performance.
Took accountability for operations, utilizing technical tools and applications such as Microsoft Office, Google Suite, and live streaming platforms for customer interactions, among other responsibilities.
Analyzed customer engagement patterns and identified opportunities for improving interpersonal relationships, creating a safer and more collaborative environment, including training for fellow team members.
Initiated lead sourcing efforts to build a safer and more efficient environment in collaboration with government officials, passengers, stakeholders, and service providers.
Empire MG inc. and Prime Flight Aviation Services (PHL)
Customer Operations / Sales and Hospitality — Dec 2023 to Jun 2024
Contributed to business strategy and process improvement with a focus on customer management and engagement, resulting in stronger stakeholder and customer acquisitions.
Supported CRM activities through application monitoring, documentation, and analytics to improve efficiency and enhance the customer experience.
TATA Consultancy Services
Systems Engineer - Business/Data Driven Project
- Identified which independent variables (over the data set) appear to have greatest impact on home valuation, and the nature of the relationship. Based on final model, gave forecast prediction and confidence intervals. Followed evaluating nature of data dependent or independent, putting data summary, scaling the limits of data summary, scaling variables for plots, Box plots for outlier Gap check, Scatter plots and interpretations, hypothesise the proposed regression model, developing regression model fitted coefficients, testing regression model predictive ability, performing validity checks on various parameters including independence of error, equal variance, normal distribution, checks for no unduly influential outliers et al. Further, characterising uncertainty and significance for regression model coefficients.
- Impact: Using regression model and based on provided data set it was found that the highest corrected median value of owner-occupied homes could be predicted between prices of 51,568 and 64,011, with 95% confidence. About 86% of the variation is supported by the reg.
- Characterised effectiveness of LDA, K-NN, neural network and logistic regression classification methods for predicting default as a function of the predictor variables student, income, and balance. Made a recommendation on whether any or all are useful. This was carried through evaluating nature of data dependent or independent, putting data summary, scaling the limits of data summary, scaling variables for plots,Box plots for outlier Gap check, Scatter plots and interpretations, hypothesise the proposed regression model, developing multiple regression model including the Linear, K-Fold cross validation, Gaussian process model, Neural Network model fitted coefficients, testing and compared regression model predictive ability, performing validity checks on various parameters including independence of error, equal variance, normal
distribution, checks for no unduly influential outliers et al. Also, performing the SMOTE LDA classification as
a solution for imbalance in the sample. - Impact: Using regression model comparison it was found that LDA with SMOTE is recommended for predicting default as it can improve the recall and sensitivity of the model and it has more balanced accuracy, Informedness than the other models. Hence, recommend the LDA model as per the sample to the management for classification because its Accuracy is the highest of all which is 0.972 and its compute time is the least among all other methods which is 2.37.
- Examined the SDGE (SanDiego Electricity) time series data and made a preliminary recommendation on best forecast approach for predicting hourly energy use one month in advance. Examined the double exponential(DEWMA) and double seasonal Holt Winters (DSHW) time series forecasting models in the SanDiegoElectricity through Creating DEWMA and DSHW Forecasting model, prepared accuracy measure on training data, analyse accuracy measures of error on training set followed by performing validity checks and interpretation.
- Impact: The RMSE, MAE, MAPE values in DEWMA model are:76893.95, 66567.42, 3468.472, respectively.By comparing with value below in DSHW model, it was found that DEWMA had a much larger uncertainty error in prediction. The RMSE, MAE and MAPE values in the DSHW model found :217.36,152.15 and 7.81 respectively. Leading to prefer DSHW time series forecasting method for predicting hourly energy use a month in advance for California ISO.
- Financial Data Analysis using the data on the production costs and profits over a 16 month period for a
manufacturer with international customers using Power BI tool. Created dashboards using meaningful insights
into the company’s sales and financial position. - Using the MS Excel Descriptive analytics and based on given data from an EduToy company Categorised the customers based on age and gender. Along with determining the spend amounts that fall in the top 20% of all transactions (in dollars). Also, determined the products that generated the sales revenue falling in the top 25% of all revenue contribution in the sample, reported the current inventory level, quantity of order and supplier of each of these best-selling products. The data was also used to find out the proportion of all given transactions that were conducted through the use of different credit card like American Express, Discover, MasterCard and Visa.
- Using Prescriptive Analytics involved in creating Excel Macros, VBA to create function helping to avoid
repetitive tasks. Decision- making through solver for optimisation and transport/sales planning. Decision
Analysis through Decision Tree construction driving the best possible route to follow in production sequence.
Data Insights To Presentation
Systems Engineer - Developer
- Provided bug fixing,support and development of newly generated user data fields as per Business requirement.
- Creation and Customising of new UI changes and loading the fetched data from UI to Database through Ajax.
- Enhancements to the Downloadable Form data that customer can directly use. Worked and handled client’s
ever-changing requirements along with additional assigned tasks. - Impact: Achieved the expected client requirements on the development with less than10% testing errors
Assistant Systems Engineer— Client: Leading European Bank
- Induction and overview of different policies existing in the Organization including Technical skills, Soft skills
as well as Personal Overall Development. Technical training in Core Java, DBMS, HTML, CSS validated
through extensive Exit Assessment. - Introduction to Agile Methodologies in the Development Operation life-cycle. Also gained, hands-on
experience with Continuous Integration and Deployment tools like Jenkins, Maven build tool, Apache Tomcat
Server, Bit bucket as part of DevOps training.
Penn State University, University Park
Administrative Assistant for Research and Development (AgScience)
- Content Management and administration research for the University Official Grant listings. Technically
updating and researching Grants through trusted sources. - Technology depended Database updating and record creations.
Teaching Assistant (TA) - ENGR501,BA411,EE420
- Graded the submission as per the defined protocols. Held doubt session as and when a student required
- Taught the course and Consulted the students with all the doubts regrading the course work. Updated the
course material and made announcements related to the courses.
Skills and Coursework
• Tech-languages: C++, Core Java, HTML5, JavaScript, JSON, Python,R,Oracle Sql, MSExcel, MsOffice,MSProject,
Verilog, Software Development Life Cycle (SDLC),Six Sigma, Analytics,CAPSIM,Strategy, Operations and Management.
• Coursework and tool: Anaconda,Sql Developer, Eclipse, WinSCP,Probability and Statistics,Tableau, ProjectLibre,
PowerBI, Mailchimp, Lasso, Plone,File maker, Adobe Illustrator, Live Agent app, VBA.
Internship
- Maven Silicon Bengaluru, India
Design and Verification Trainee July 2018 – May 2019
◦ VLSI Project: Designed the AHB to APB bridge as an AHB slave which converts AHB transactions to APB
transactions by implementing pipelining at the AHB slave interface. Thus, the bridge supports AHB burst
transfers.Architected the block level structure for the Router design and verification. - Delhi Metro Rail Corporation Delhi, India
Industrial Intern June 2017 – July 2017
Real-time experience of working mechanism inside well established Indian Government metro operations
including Signalling,Automated fare collection (AFC),fiber-optic transmission system (FOTS).
Awards and Extra-curriculars
• Nationally (USA) placed and acknowledged for the ACRP (Airport Cooperative Research Program) design challenge
for implementing a solution based on ”Environmental Interaction Storm-water management.”
• Awarded multiple recognition Badges for T performance by Philadelphia International Airport (PHL), USA.
• Member of (ECSA)Electronics and Communication Student Council (2016-2017) in College.
• Runner up award in Inter- Department Chess competition. Senior Co-ordinator in Annual College Fest KAALRAV.
Diverse Team collaboration
