Biography

Passionate Global Technology Sales Leader. Currently leads a team of Global Cloud Solution Architects to drive development of differentiated industry aligned solutions on Microsoft Cloud and Services around it. This ensures leverage of the Tech Innovation as business drivers for our clients in the areas of, client engagement, employee empowerment, operations optimization OR pivot with new business models. Also leads the Azure Quantum adoption within MS partner ecosystem to develop early use cases and PoCs.

Drove Technology Sales Strategy Transformation towards next-gen at IBM. Delivered several first of its kind wins for IBM across Data and AI platforms, Hybrid Cloud and DR/BC Strategies. Chosen to be the first Quantum Ambassador for IBM in the ISA region. Delivered an impressive win rate at IBM with next-gen technologies Overachieved tech sales objectives consistently. Designed and Implemented large enterprise-wide transformative solutions especially in AI Infrastructure, Data and Information Architecture and open hybrid multi- cloud environments across Banking, Telecommunications and Media. Strong Technology R&D Leadership- Filed three US patents related to blockchain, Storage Virtualization, and Big Data.

Scaled up startup solutions to enterprise grade at Mobileum. Established Performance Engineering and Sizing practice. Helped the startup establish tech leadership with futuristic PoTs. Key Awards & Recognition - Gold Medal received from honorary Prime Minister of India (BARC 2006), Hundred Percent Club member, Best Team, Best People Manager (IBM 2015), Outstanding Sales Achievement Award (IBM 2011) and Most Valuable Performer of the Year Awards (Mobileum 2007, 2008, 2010)

Leadership- Build and Manage high performance collaborative technical teams| Manage Skill transformation| Communicate for Clarity| Growth Mindset| Diverse and Inclusive Team Building Technology Sales Expertise: Building High Performance Teams | Next-Gen Technology Focus | Pre-Sales | Technical Team Management | CXO Engagement | Client Success & Executive Management | Sales Process | Value Selling | Tech Sales Management | Complex Solution Sales| Negotiations

Technology Skillsets: IT Infrastructure Architecture| Data Platforms| Cloud Platforms| Blockchain | Analytics | Quantum Computing | Cloud Native Technologies | Micro Services | Kubernetes | DevOps | App Modernization | Solution Architecture | High Availability| High Performance Computing| Artificial Intelligence| Machine Learning / AI.

Speaker Profile

Ms. Shalaka Verma

Director

MicroSoft,
India

Biography

She is an ambitious, self-motivated and resourceful individual with positive and proactive attitude. She has 18+ years of teaching, research and administrative experience. My professional qualifications are Ph.D., M.Phil.,and Master of Computer Application. She has an ability to meet the deadlines. I enjoy learning about new advancements in technology and would love to generate new ideas and devise feasible solutions to broadly relevant problems. My contributions towards research is very much appreciated and also have received best research paper awards in India and abroad. I have more than 28 research papers in my credit in various International Journals/Conferences. She has delivered several keynote speeches in various International Conferences and workshops. Her expertise includes Data Warehousing, Data Mining, Pattern Recognition, Analysis & Design of Algorithms, Virtualization.

Presenter

Prof. Dr. Manjula Sanjay Koti

Head of the Department

Department of Master of Computer Applications, Dayananda Sagar Academy of Technology & Management

Bangalore,
Karnataka, India

Biography

Prof. Dr. Sapna Ratan Shah is currently holding the position of Director of Research and Development at Jawaharlal Nehru University in New Delhi, India. She has obtained her qualifications from esteemed institutions, including a B. Sc. degree (Physics, Chemistry, Mathematics) with first- class honors from C.S.J.M.U., Kanpur (U.P) India in 2000, an M. Sc. degree in Mathematics with first- class honors from the Department of Mathematics, C.S.J.M.U., Kanpur (U.P.)-India in 2002, and a Ph.D. in Mathematics from the Department of Mathematics, Uttar Pradesh Technical University Lucknow (U.P.)-India in 2008. Her areas of interest and specialization lie in Applied Mathematics and Biomechanics. She has made significant contributions to her field, with her research papers being published in top-tier peer- reviewed publications.

Presenter

Prof. Dr. Sapna Ratan Shah

Director of Research and Development

Jawaharlal Nehru University
New Delhi, India

Biography

Mr. Peter Warmka, CFE, CPP is a Cybersecurity Threat Consultant  SPYEX  at United States of America. His passion is to help empower organizations and their people to better safeguard their proprietary information and personnel data against the growing epidemic of security breaches. He draw upon my expertise as a former Senior Intelligence Officer of the CIA who very successfully breached the security of target organizations overseas to accomplish "the mission.

Presenter

Mr. Peter Warmka, CFE, CPP

Cybersecurity Threat Consultant

SPYEX
United States of America

Biography

Mr. Reynaldo (Rey) Lugtu the Founder and CEO of Hungry Workhorse, a prominent organization. Additionally, he holds the position of Professorial Lecturer at De La Salle University in the Philippines. He is a veteran business executive and entrepreneur with several years of professional experience gained from the information and communication technology industry; with successful and extensive experience in digital and culture transformation engagements. He bridges the gap between digital technology, and people and organization behavior, through the wisdom of practical experience, the insights from thoughtful experimentation, and the rigor of theoretical concepts. His background in business, technology, pedagogy, cultural anthropology, community psychology, and sociology make his analysis and synthesis of technological, organizational, and societal issues more holistic.

Presenter

Mr. Reynaldo (Rey) Lugtu

Founder & CEO

Department of Electrical Engineering
Surendra Institute of Engineering and Management Dhukuria
West Bengal

Biography

Srikkanth G, also known as Sk, a Learning and Development professional with over 20 years of experience in the industry. I specialize in Sales and Sales Training and have extensive experience in consultative and transactional sales. Throughout my career, I've had the opportunity to work in diverse industries, including Life Insurance, Digital Ad Sales, Internet, and Ed Tech. This wide range of experiences has given me a unique perspective on how to design, develop, and deliver effective learning programs that drive business results. As a learning professional, I'm well-versed in various learning methodologies, including the ADDIE methodology, Kirkpatrick feedback model, and other learning and development methodologies. I'm committed to staying up-to-date with the latest trends and best practices in the industry to ensure that my programs are relevant, engaging, and effective. My passion for sales and sales training stems from my belief that every employee can benefit from learning how to sell. Whether you're in a customer-facing role or not, the ability to persuade, influence, and negotiate is essential in today's business world. My goal is to help individuals and organizations unlock their full sales potential through customized training programs that meet their specific needs and objectives. In addition to my expertise in sales training, I'm also skilled in other areas of learning and development, such as leadership development, onboarding, and employee engagement. I've learned that effective training is not just about delivering content but also creating an environment where individuals feel motivated, supported, and empowered to learn and grow. If you're searching for a learning and development partner who can help you drive business results through effective training, I'd be thrilled to connect. Let's explore how I can assist you and your organization in achieving your learning and development objectives.In addition to my expertise in sales training, I'm also skilled in other areas of learning and development, such as leadership development, onboarding, and employee engagement. I've learned that effective training is not just about delivering content but also creating an environment where individuals feel motivated, supported, and empowered to learn and grow. If you're searching for a learning and development partner who can help you drive business results through effective training, I'd be thrilled to connect. Let's explore how I can assist you and your organization in achieving your learning and development objectives.

Presenter

Mr. Srikkanth Gopakumar

Regional Head

Learning and Development
BYJU'S, India

Biography

Dr. Alfredo Jr. Felia Fortu is currently serving as the Dean of the College of Engineering and Technology (CET) at Romblon State University, located in the Philippines. His research interests encompass a wide range of areas, including automation, renewable energy, drying technologies, and Geographic Information Systems (GIS). Dr. Fortu pursued his master's degree at the University of the Philippines Los Baños, where he obtained a Master of Science in Agricultural Engineering. Prior to that, he completed his tertiary education at Romblon State University, situated in Liwanag, Odiongan, Romblon. He holds a professional license as an Agricultural and Biosystems Engineer. Notably, Dr. Fortu is highly respected for his expertise in research and extension work, as well as his exceptional leadership skills.

Presenter

Dr. ALFREDO JR, FELIA, FORTU

CET Dean, CET Campus

Romblon State University
Philippines

Biography:

Mr. Jose Manuel Perez Rebellon is a Vice President of Enterprise Automation Director, at City National Bank of Florida United States of America. He is a leader with strengths in robotic and intelligent automation solutions (RPA, machine learning, NLP, and IA Technology), project development and reengineering business processes. Defining continuous improvement processes with a large experience of managing human and financial resources. Spanish and English speaker.

Presenter

Mr. Jose Manuel Perez Rebellon

Vice President

Enterprise Automation Director
City National Bank of Florida
United States of America

Abstract

Defining a distributed denial of service assault, or DDoS. It works similarly to a DOS attack in that one targeted system receives numerous simultaneous requests from infected nodes as opposed to just one, bringing it down and preventing it from serving a typical user. The hacked nodes are botnets that may be exploited, and a bot master is in charge of them. By sending orders to these systems, the bot master causes several botnets to submit requests to targets at once. As soon as an attack is discovered, we use the Sky Shield application at the application layer to attempt to mitigate it. The sketch is a data structure that employs hashing, with the key being the system's unique IP value the value having various quantities such that the number of packets transmitted and bytes. We compute and continually update the drawing for each request. Based on observation, we determine if two drawing malicious or legitimately.

Keywords: DDOS Attack, Intrusion, Malicious host, Sketch, Hashing.

Presenter

Samuel Rahul

Department of Computer Applicationss

PES University/Department Student India

Abstract

Accurately predicting travel times is essential for efficient urban transportation planning, as it enables commuters to plan their trips more effectively and reduces traffic congestion. This research project proposes a data-driven approach to predicting travel times for trips within Bangalore using machine learning techniques. We obtained data from Uber Movement, a dataset of GPS traces of vehicles moving in the city. However, due to the inherent complexity of this data, rigorous preprocessing was necessary to make it suitable for modelling.We trained an XGBRegressor model on the preprocessed data and evaluated its performance against travel time estimates provided by Google Maps. This research project highlights the potential of machine learning techniques for improving travel time prediction in urban areas, and the importance of rigorous data prepro- cessing in building accurate models. The results of this project have significant implications for urban transportation planning and policy-making, and can help improve the efficiency of urban transportation networks.

Keywords: 1. : Travel time prediction, 2. Urban transportation planning, 3. Machine learning, 4. XGB Regressor model, 5. Bangalore, 6. Uber Movement data, 7. Preprocessing, 8. Performance evaluation, 9. Google Maps comparison, 10. Mean absolute error, 11. Data-driven approach, 12. Efficiency, 13. Policy-making, 14. Transportation networks

Presenter

Sharan B

Computer Applications

PES UNIVERSITY India

Abstract

The study focused on the lived experiences of secondary teachers in a hybrid classroom during the Covid-19 crisis in the state of Arizona and other states in the United States of America where many schools began implementing hybrid classrooms. With schools redesigning instruction during that time, hybrid classrooms with students attending a physical school on certain days and spending a few days remotely for online learning synchronously became the option for continuous learning. Data were collected from 15 participants through one-on-one semi-structured interviews that were done either face-to- face or via Zoom video conferencing. This study was anchored on Husserl’s phenomenological approach. Coding through thematic analysis was employed to generate codes and themes. There were five themes that emerged as a result namely 1) Effective Virtual Learning and Purposive In-Person Classes; 2) Virtual Online Programs Support Hybrid Learning; 3) Challenges in Hybrid Learning Engagement; 4) Needs Assessment is Given Prior to Hybrid Learning; and 5) Open Opportunities to Improve Hybrid Learning. These themes led to the development of a framework at the secondary level of the educational system which apparently emerged from the different categories that were interwoven based on comparative analysis of the data. The emergent framework towards Improved Hybrid Learning may be proposed for schools to further improve their hybrid classroom implementation at the secondary level of education. In general, it may also be beneficial to school administrators, policymakers, educational consultants, teachers, and future researchers even beyond the pandemic, since technology and hybrid learning is here to stay.

Keywords: Lived Experiences, Hybrid Classrooms, Virtual Online Programs, Needs assessment

Presenter

Myrna Mandigma

Academic Department

Informatics College Manila Philippines

Abstract

Digital products have placed as a competitive advantage for business actors both individuals, companies, and industries recently. Social media such as Facebook, Instagram, YouTube, which are accessible from various communication media such as smartphones, tablets, or laptops have become inseparable media from user's handholds in order to share information, offer products and services, and make friends. In an effort to establish good relationships between companies and suppliers (Supplier Relationship Management/SRM) and between companies and consumers (Customer Relationship Management/CRM), hence optimizing the use of social media for companies becomes very important, no exception for small and medium-sized enterprises (SMEs). This study aims to examine the role of social media to assist SMEs in establishing good relationships with their suppliers and customers. There are around 200-250 manufacturing and service SMEs domiciled in Central Java province were involved. The data collection method was carried out through surveys guided by questionnaires and interviews with SME owners. Quantitative data analysis was conducted using Structural Equation Modelling. It is hoped that the resulting findings will prove the significant role of social media in helping SMEs to establish good relationships with suppliers (SRM) and customers (CRM), and it is believed to be useful both theoretically and practically.

Keywords: Customer Relationship Management, Small Medium Enterprises, Social Media Usage, Supplier Relationship Management.

Presenter

Yong Dirgiatmo

Department of Management, Faculty of Economics and Business

Universitas Sebelas Maret Surakarta, INDONESIA

Abstract

The impacts of sugar cane molasses to strength and retardation of concrete was investigated. A total of 15 concrete cylinder of size 150mm diameter x 300mm Height with a mix ratio of 1:2:4 were cast with different percentages of sugar cane molasses replacing some proportion of water in the concrete mix. The concrete cylinder was prepared by reducing water by 10-20% with sugar cane molasses in the following percentage 0.3% by weight of cement of molasses, .6% of molasses, 1.2% of molasses and 1.5% of Molasses. The concrete cylinder was cured, tested and the physical properties of concrete were determined. The slump values of the concrete increased by 10mm when the percentage of molasses increases. A decrease in compressive strength was noticed when the percentage of molasses increases. The highest final setting time of 240 minutes occurred at 1.50% of molasses. The increased in retardation of concrete was noticed when the percentages molasses increases.

Biography:

The Author, Algerico Santos Odal, was born on January 19,1991 in Dinadiawan,Dipaculao, Aurora and now currently living in Block 31 lot 10 Green state Barangay Malaga sang, Imus Cavite, as the Third son of Algerico Plete Odal and Luzviminda Fornal Santos. He took his Primary Education at Dinadiawan Elementary School where he was a consistent Honor Student, and Secondary Education at Rizal High School. In 2008, he was admitted at Polytechnic University of the Philippines under the Bachelor of Science in Civil Engineering Program, Specializing in Transportation Engineering. In 2014, He worked at Engineering Department of EEI Corporation as Design and Cost Engineer. In 2018, He received his Master’s degree in Structural Engineering at the PUP Graduate School. His current research interest is “Impact of Sugar Cane Molasses to Concrete Strength and Concrete Retardation”

Presenter

ALGERICO JR SANTOS ODAL

Engineering

University of the East Philippines

Abstract

In the 1980s, the safety management system (SMS) was created to reduce material waste and the risk of accidents and fatalities in the construction industry. With the correct SMS deployment, construction companies can reduce safety-related difficulties.  This study assessed the current status of construction safety management intending to determine the level of implementation of selected construction companies with category AAA in Manila, Philippines. A survey was done to determine the SMS implementation level in terms of lack of control, basic cause, immediate cause, incident, and accident. The researcher used the quantitative method of research with the survey questionnaire as the main tool in gathering data. Architects, engineers, safety officers, and skilled workers were the respondents of the study. The gathered data were statistically treated with the use of Frequency, Percentage, Weighted Mean, Kruskal Wallis, Man Whitney U-test, and Spearman Rho Correlation. The overall results showed that the level of the selected construction companies in Manila is somewhat implemented. The results of this study are helpful to the industry as well because they can improve the understanding of SMS among industry professionals and aid in better SMS deployment at work.

Presenter

Reynaldo C. Carolino

College of Engineering

Polytechnic University of the Philippines

Abstract

The bagasse corrugated fibres composites roofing is made in the sugar industry in Thailand with dimension 400 mm width, 400 mm length, and 6 mm thickness. The pMDI was used as an adhesive for roofing. Measure the specimens according to standard densities of 400, 600, and 800 kg/m3. The mechanical, physical, and thermal properties were test. At 800 kg/m3, the results of mechanical exposed pMDI affected to the modulus of elasticity, modulus of rupture, and impact strength had an excellent properties. Respect as the results of thermal conductivity and thermal resistance properties. Moreover, the physical properties had also low moisture, low water absorption, and low thickness swelling.

Biography:

Doctoral student of engineering, Department of Advanced Manufacturing Technology, Faculty of Engineering, Pathumwan Institute of Technology Address: 833, Rama 1 Road, Pathumwan, Bangkok, Thailand, 10330 E-mail: b.phoopat@gmail.com Telephone No.: +66 963974556

Keywords:bagasse fiber; sugarcane; corrugated roofing; pMDI

Presenter

Bharuedha Phoopat

Department of Advanced Manufacturing Technology

Department of Advanced Manufacturing Technology

Pathumwan Institute of technology, Thailand

Abstract

Commercial battery charging stations for electric cars (EV) currently available have limited controllability and flexibility. These chargers are not intended to allow customers to define crucial parameters such as desired energy for the next journey and charging time. Furthermore, the charging regime is not designed to account for the impact of charging (e.g., rate of charge) on battery cycle life and grid supply. Compliance with grid regulations will become more difficult as the prevalence of EVs and distributed generators (DG) increases; for example, network voltage levels may depart from the statutory limitations. Furthermore, because the battery is the most expensive component of an EV, efforts should be made to lengthen battery life and minimise the effective EV cost. As a result, there is a requirement.

Keywords:electric vehicle, controller, battery, state of charge

Presenter

Daulat Darade

Electrical Engineering

Sanjivani college of engineering kopargaon ,India.

Abstract

Commercial battery charging stations for electric cars (EV) currently available have limited controllability and flexibility. These chargers are not intended to allow customers to define crucial parameters such as desired energy for the next journey and charging time. Furthermore, the charging regime is not designed to account for the impact of charging (e.g., rate of charge) on battery cycle life and grid supply. Compliance with grid regulations will become more difficult as the prevalence of EVs and distributed generators (DG) increases; for example, network voltage levels may depart from the statutory limitations. Furthermore, because the battery is the most expensive component of an EV, efforts should be made to lengthen battery life and minimise the effective EV cost. As a result, there is a requirement.

Presenter

Karla María Aguilar Castro,

División Académica de Ingeniería y Arquitectura

Universidad Juárez Autónoma de Tabasco,Mexico

Abstract

As AI systems become more prevalent in our daily lives, building trust and transparency into these systems is crucial. Explainability has been identified as a key factor in building trust in AI systems. However, the relationship between explainability and trust in AI systems is complex and not well understood. This research paper explores the relationship between explainability and trust in AI systems and provides insights into how to design and develop more trustworthy AI systems. We review the existing literature on the factors that affect trust in AI systems, such as transparency, accountability, and human oversight, and evaluate the effectiveness of different explainability techniques in building trust in AI systems. Our study uses a series of experiments to investigate the effect of different types of explanations on user trust in AI systems. The results show that the quality and type of explanations provided significantly affect user trust in AI systems. We also explore the trade-off between accuracy and explainability in AI systems and discuss the implications of this trade-off for building trustworthy AI systems. Overall, this research highlights the importance of explainability in building trust in AI systems and provides insights into how to design and develop more trustworthy and transparent AI systems that can build trust with end-users.

Presenter

Vibhuti choubisa

Department of engineering

Pacific academy of higher education and research university udaipur rajasthan

Abstract

Achieving IndiHome's sales target, revenue target and CAPEX effectiveness direction will be the company's focus in 2023. Based on the data, locations with port occupancy ≥50% of 18 territories, as many as 15 STOs in 2020, 6 STOs in 2021 and 18 STOs in 2022. Proposed FTTH development ports are 4.332 cancel ports in 2020, 28.128 cancel ports in 2021 and 6.056 cancel ports in 2022. Cancel ports are based on consideration of the financial aspects required, which is < Rp. 1.200.000 per port. The fuzzy Delphi and TOPSIS methods are used to obtain criteria and scores for each criteria to obtain the priority of FTTH development locations. Questionnaire data was distributed to 10 expert respondents, selected based on experience. The results obtained 10 criteria along with weight values that meet the fuzzy Delphi criteria with a threshold value ≤ 0.2 and expert consensus value > 75%. The criteria are population (0.917), number of registered customers (0.870), purchasing power (0.813), port occupancy (0.807), port availability (0.800), Operating Area Analysis (0.797), business and office areas (0.787), government special requests (0.743), core backbone (0.730) and competitor service delivery (0.560). The priority location for FTTH network development is STO Mattoangin (0.6346).

Biography:

The author is an employee of PT Telkom Indonesia (Persero) Tbk is a state- owned information and communications technology enterprise and telecommunications network in Indonesia. Student of master program under the management of the Department of Technology Management expertise in Project Management. Co author is an lecturer of ITS. Interest research in Data Science, Machine Learning, Bioinformatics, Decision Sciences, Data Mining. Doctor of Philosophy, Software Engineering & Interactive System Group, Department of Informatics, Vienna University of Technology – Austria. Master of Engineering, Control System group, Department of Electrical Engineering, Faculty Graduate Studies, Institut Teknologi Bandung –Indonesia. Bachelor Degree in Mathematics, University Airlangga – Indonesia.

Presenter

Christian Arman Lalang

Magister Manajemen Teknologi

Sepuluh Nopember Institute of Technology ,Indonesia

Abstract

Defect detection in fabric and classification of defect is an important part of quality control process in textile manufacturing. Deep learning has been recently employed for fabric defect detection and categorization. This work proposes an anchor selection approach to select anchor regions which have higher probability of defects around it. The dataset used here is the standard TILDA dataset and textile defect detection dataset with about 4900 fabric image samples. Resnet deep learning feature set has been implemented for the extraction of color, shape and texture features. Softmax classifier is adopted for classification of different types of defects and the result is compared against the existing methods like PRAN-Net, Multiscale-CNN and faster RCNN where the average accuracy for tiny and big defects in anchor selection approach is said to be better due to selection of anchor regions with higher probability of defect localized around it. The average time taken for defect detection in anchor selection approach is less when compared to the existing three methods which is because of selection few anchor regions and the proposed solution is also able to reduce the computational overhead of deep learning methods for fabric defect localization.

Biography:

Anchor selection approach (ASA), Region based convolutional neural network (RCNN), Priori anchor convolutional neural network (PRAN-Net), Convolutional neural network (CNN).

Presenter

Hattarki pooja

computer science and engineering

Visvesvaraya Technological university Belagavi, India

Abstract

This paper aims to propose Self-Testing-DNN based on YOLO neural network to assist in tracking athletes while testing their speed with the training ladder for video analysis. To estimate the average acceleration and average velocity of athletes. Acceleration and velocity play important roles for athletes in many sports, to provide a more accurate and efficient way of evaluating the performance of athletes, which can be used to improve their training and performance. Our frameworks consist of five-step as follows, the first step determines ladder lines by coordinated x and y positions. The second step is athlete detection by verifying the class labels and then extracting the bounding box coordinated. The third step is athlete tracking in each square of the training ladder with a feed-forward neural network. The fourth step calculates acceleration and velocity in each square of the training ladder and finally, calculates the average of acceleration and velocity. To validate our model, we use the video dataset of the women's Thailand national volleyball team including 18 athletes and about 90 video files. The experimental results prove that the self- testing-DNN was compared to standard equipment using the Pearson correlation coefficient. The results show a high correlation and can compensate for the stopwatch without compromising accuracy or reliability, the two variables are statistically significant (r=0.997, p<0.05).

Biography:

Kanjana Boonim was born in Chiangrai Province, Thailand. She received a Ph.D. (IT) degree from the Department of Information Technology the Rangsit University (RSU), in 2011 and a master's degree (M.Ed.) from the Department of Computer Technology at King Mongkut's University of Technology North Bangkok (KMUTNB), in 2006, Both are in Thailand. Her research interests include digital image processing and the Internet of Things.

Presenter

Dr.Kanjana Boonim

Information Technology and Sport Science and Health

Thailand National Sports University Bangkok Campus ,Thailand