Dates
24/06/2025 to 26/06/2025
Host Institute
AISSMS Institute of Information Technology,
Kennedy Road, Near R.T.O., Pune – 411 001,
Maharashtra (INDIA).
About the Institute
The All India Shri Shivaji Memorial Society’s Institute of Information Technology (IOIT), established in 1999, is a self-financing Autonomous Institution affiliated to the Savitribai Phule Pune University. The institute has good infrastructure facilities for UG/PG courses in all the departments.
The institute is re-accredited with “A+” grade in cycle II by National Assessment and Accreditation Council (NAAC) and 5 departments have been accredited by National Board of Accreditation (NBA). The institute is affiliated to the Savitribai Phule Pune University. It is an autonomous institute and is approved by the All India Council for Technical Education (AICTE).
About the IEEE CIS Summer Schools
The 2025 IEEE CIS Summer School on the theme “AI for Sustainable Development” is a unique and impactful event, tentatively scheduled to take place from June 24th to 26th, 2025, at the AISSMS Institute of Information Technology in Pune, India. This event will bring together leading experts, researchers, students, and practitioners to explore the transformative potential of artificial intelligence in addressing critical global challenges such as climate change, resource management, and social inequality. Participants will gain hands-on experience with AI tools and techniques designed to tackle sustainability issues, while also engaging in discussions around the ethical implications of AI deployment for sustainable development. The Summer School will provide a collaborative platform for sharing knowledge, fostering interdisciplinary research, and building networks aimed at advancing AI-driven solutions for a more sustainable future.
Aim
The IEEE Summer School on “AI for Sustainable Development” aims to provide an in-depth understanding of how Artificial Intelligence (AI) can be applied to address pressing global challenges related to sustainability. The summer school will explore innovative ways AI can drive solutions for environmental conservation, economic growth, social equity, and health.
Objective
The 2025 IEEE CIS Summer School on “AI for Sustainable Development” aims to address several key objectives. Firstly, it will focus on discussing the critical role of AI in tackling complex global challenges, such as climate change, resource management, and social inequality. Participants will gain practical knowledge and hands-on experience with AI tools, algorithms, and frameworks specifically tailored to sustainability challenges. Additionally, the event will emphasize the importance of ethical AI in the context of sustainable development, highlighting its responsible deployment and use. Finally, the Summer School will serve as a platform for students, researchers, and practitioners to collaborate, exchange ideas, and explore potential interdisciplinary research opportunities at the intersection of AI and sustainability.
Venue
All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune
Dates
24 June 2025 to 26 June 2025
All time slots are in India Standard Time (IST).
Sr. No. | Resource Person | Affiliation |
---|---|---|
1 | Dr. Bhushan Garware | Sr. Data Scientist, Cloud Migration Consultant, Google, Pune, India |
2 | Abdullah All Mamun Anik | Graduate Research Assistant (EPSRC Future Metrology Hub, Centre for Precision Technologies- CPT, ECMPG), University of Huddersfield, United Kingdom |
3 | Dr. Parikshit Mahalle | Dean – Research and Development, Professor Department of Computer Engineering, VIT, Pune, Senior Member IEEE, Doctor of PhilosVIT, Pune |
4 | Arpita Soni | IT expert, Senior IEEE Member, Charlotte, USA |
5 | Dr. Nilesh Uke | Principal at Indira College of Engineering and Management,Pune |
6 | Dr. Surekha R. Deshmukh | Domain Consultant, TATA Consultancy Services (TCS), Pune, India |
7 | Dr. Rajesh Shardanand Prasad | Professor (Computer Science and Engineering) and Principal, Bharati Vidyapeeth Deemed University College of Engineering, Pune, Maharashtra |
Day -1 ( 24/06/2025)
Name Of Speaker:Bhushan Garware
Time Schedule:IST 10:30 – 12:30
Title:Gen AI and LLM in education
Abstract:
Generative AI (Gen AI) and Large Language Models (LLMs) are transforming education by enabling innovative, personalized, and scalable learning experiences. These technologies enhance teaching by automating content creation, such as lesson plans, quizzes, and essays, while supporting students with personalized tutoring and instant feedback. LLMs facilitate interactive learning, bridging gaps in understanding complex topics and aiding in language acquisition. They also enable educators to analyze learning patterns and optimize teaching strategies. However, ethical considerations, including data privacy, bias, and dependency, must be addressed. Leveraging Gen AI and LLMs responsibly can revolutionize education, fostering accessibility, engagement, and lifelong learning.
Bio-sketch:
Bhushan Garware is an accomplished technologist, researcher, and innovator specializing in artificial intelligence, machine learning, and fingerprint biometrics. He holds a Ph.D. in Fingerprint Biometrics from the University of Pune, recognized with the Best Ph.D. Thesis Gold Medal Award. His doctoral work addressed interoperability challenges in fingerprint recognition systems, resulting in patented inventions on image standardization and sensor-independent matching algorithms. With over a decade of professional experience, Bhushan has excelled as a Cloud Migration Consultant at Google and previously as a Senior Architect at Persistent Systems, leading initiatives in Responsible AI and medical imaging. Proficient in Python, MATLAB, and C++, he is a certified AWS Machine Learning Specialist and a respected thought leader, known for his scholarly publications, technical expertise, and contributions to industry and academia.
Day -1 ( 24/06/2025)
Name Of Speaker:Dr. Parikshit Mahalle
Time Schedule:IST 13:30-15:30
Title:AI for affordable Energy -SDG Goal 7
Abstract:
The seventh Sustainable Development Goal (SDG 7) aims to ensure access to affordable, reliable, sustainable, and modern energy for all. Artificial Intelligence (AI) has emerged as a transformative technology with the potential to accelerate progress toward this goal by optimizing energy production, distribution, and consumption. This research explores the role of AI in addressing challenges associated with achieving affordable energy access globally, with a focus on scalability, efficiency, and sustainability.
Key areas of investigation include AI-driven solutions for renewable energy integration, predictive maintenance of energy infrastructure, smart grid optimization, and energy demand forecasting. Case studies highlight the successful implementation of machine learning and data analytics in reducing energy costs, enhancing accessibility in remote areas, and supporting energy equity. Furthermore, this study discusses the ethical considerations and potential biases in deploying AI systems, ensuring that technological advancements align with the principles of inclusivity and sustainability.
The findings suggest that AI can significantly reduce costs and improve energy efficiency, particularly when integrated with IoT devices and smart grids. However, achieving widespread implementation requires collaboration between governments, industry stakeholders, and communities. This research provides actionable recommendations for leveraging AI to make affordable energy a reality for underserved populations while contributing to the global transition toward a clean energy future.
Bio-sketch:
Dr. Parikshit N. Mahalle is a distinguished academic and researcher with over 24 years of experience in teaching, research, and development. He serves as the Dean of Research and Development and Professor at Vishwakarma Institute of Technology (VIT) in Pune, India, where he also leads the Department of Artificial Intelligence and Data Science. As a senior member of IEEE, Dr. Mahalle has made significant contributions to the fields of data science and intelligent applications. His edited work, “Data Science: Techniques and Intelligent Applications,” was awarded the prestigious Choice Outstanding Academic Titles. In recognition of his contributions, he was honored with the Society for Data Science (S4DS) National Award for Excellence in Research in 2020.
FACEBOOK
Dr. Mahalle’s extensive publication record and active involvement in the academic community underscore his commitment to advancing research and education in artificial intelligence and data science.
Day -1 ( 24/06/2025)
Name Of Speaker:Dr. Nilesh Uke
Time Schedule:IST 15:30-17:30
Title:Nature inspired Green Algorithms
Abstract:
Nature-inspired green algorithms are computational techniques that draw inspiration from natural processes to optimize problem-solving while minimizing environmental impact. These algorithms, such as Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization, focus on energy-efficient computations and sustainable practices. By emulating processes like natural evolution, swarm intelligence, or ecological balance, green algorithms aim to reduce the carbon footprint of computational tasks. They are increasingly applied in energy optimization, renewable resource management, and eco-friendly industrial processes. This research emphasizes designing algorithms that not only solve complex problems effectively but also align with global goals for sustainability and environmental conservation.
Bio-sketch:
Dr. Nilesh J. Uke is the Director of Indira College of Engineering and Management in Pune, India. He earned his Bachelor’s degree in Computer Science and Engineering from Amravati University in 1995 and subsequently completed his Master’s and Doctorate degrees. With over 19 years of experience in academia, Dr. Uke has held significant positions, including Principal at Trinity Academy of Engineering and Professor at Pimpri Chinchwad College of Engineering. His research interests encompass Industry 4.0 and related technologies, contributing to his recognition in the academic community.
Day -2 ( 25/06/2025)
Name Of Speaker:Abdullah All Mamun Anik
Time Schedule:IST 8:30- 10:30
Title:Process Optimization of Articulated Robot for Robotic Manufacturing System to Implement INDUSTRY 4.0
Abstract:
The use of robots in manufacturing is growing rapidly, with an estimated 718,000 industrial robots expected to ship globally by 2026. Robots are increasingly used for tasks like cutting, tapping, and milling, thanks to their affordability and efficiency. However, challenges such as vibration-induced inaccuracies and low stiffness can hinder precision, especially in complex operations like milling. To address these issues, researchers are developing advanced sensing, monitoring, and AI-driven techniques to improve robotic performance. By optimizing processes like scheduling and system integration, these innovations aim to enhance production quality and efficiency, further driving the adoption of robotic automation in manufacturing.
Bio-sketch:
Abdullah All Mamun Anik is a Doctoral Candidate in Mechanical Engineering, awarded the UK’s top Engineering Excellence Scholarship in 2023. He serves as a Graduate Research and Teaching Assistant at the University of Huddersfield, UK, and is accepted for a Fellowship of the Higher Education Academy. With an Industrial & Production Engineering degree from MIST, Bangladesh, he also pursued an M.Sc in Computer Engineering at Üsküdar University, Turkey. Anik showcased his PhD research at the 2024 International PhD Week in Germany and will join the University of Illinois as a visiting PhD researcher in 2025, specializing in AI, IoT, and advanced automation.
Day -2 ( 25/06/2025)
Name Of Speaker:Arpita Soni
Time Schedule:IST 10:30- 12:30
Title:Smart Automation using Gen AI and Emerging Technologies
Abstract:
The rapid advancement of generative AI and emerging technologies is revolutionizing automation across industries. Smart automation integrates generative AI with technologies such as the Internet of Things (IoT), blockchain, edge computing, and robotics to create intelligent systems capable of transforming complex processes. By leveraging the capabilities of generative AI, such as natural language processing, image synthesis, and decision-making, these systems can adapt dynamically, predict outcomes, and enhance operational efficiency.
This abstract explores the synergistic role of generative AI and emerging technologies in redefining automation frameworks. It highlights their potential to achieve hyper-personalization, predictive maintenance, and autonomous decision-making, while reducing human intervention in routine tasks. Furthermore, the discussion extends to use cases in industries like manufacturing, healthcare, finance, and logistics, demonstrating how smart automation drives innovation and optimizes resources.
Bio-sketch:
Arpita Soni is a seasoned IT expert with nearly 20 years in software and technology. She holds a B.E. in Computer Science from RGPV, Bhopal, and a postgraduate diploma in IT from SCDL. She is Senior IEEE Member and based out or Charlotte,USA. Her expertise spans AWS cloud computing, automation, data science, AI, and machine learning. She has worked with top companies in the USA, Europe, and India, holding certifications in PMP, CSM, Agile, Generative AI, Full Stack SDET, and Six Sigma Green Belt. Arpita has published research papers, holds patents, and authored a bestselling book on statistical techniques. She is passionate about mentoring, coding, and spending time with her family.
Day -2 ( 25/06/2025)
Name Of Speaker:Dr. Surekha R. Deshmukh
Time Schedule:IST 13:30- 15:30
Title:AI powered Data Driven Sustainable Industry Transformation
Abstract:
Today, the global concern of Climate Change has unlocked potential opportunities in the space of energy transition, decarbonization, energy conservation & optimization, and circular economy. The electrical power system is transforming through digitalization adopting towards more green technology and renewable sources in offsetting the fossil fuel-based power plants – emission. The industry across the value chain is cognizant about their responsibility towards environmental impact. The session will cover the role of “Digital interventions” largely in terms of smart metering infrastructure, IOT, sensors etc, effectively providing the real time operational information, enabling the better understanding of system, network, assets etc This rich data will be leveraged for “what-if” scenario modelling in exploring possible ways of decarbonization, innovative breakthroughs and agile operational models to empower Electricity utility to achieve all sustainability KPIs.
Bio-sketch:
Dr. Surekha Rajendra Deshmukh, a senior IEEE member and current Chair of the IEEE Pune Section, brings over 25 years of expertise in electrical engineering, AI-ML solutions, and sustainability. As a Domain Consultant at TCS, Pune, she leads data analytics and climate-driven solutions for the utility sector globally. With an illustrious academic background, including a gold medal in her master’s and PhD, she has earned numerous accolades such as the IEEE India Council “Outstanding Volunteer Award” and the IEEE PES “Outstanding Engineer Award.” A prolific author and global speaker, her interests span AI, sustainability, smart grids, electric vehicles, and power systems.
Day -3 ( 26/06/2025)
Name Of Speaker:Rajesh Shardanand Prasad
Time Schedule:IST 8:30-10:30
Title:Inclusion and diversity in professional education
Abstract:
Diversity and inclusion are pivotal to transforming professional education in the 21st century. This talk explores the significance of fostering equitable representation and embracing diverse perspectives in academia. It highlights the benefits of diversity, such as enriched learning environments, innovation, and social responsibility, while addressing barriers like structural inequities, cultural resistance, and institutional gaps. Strategies for promoting inclusion through equitable admissions, inclusive curricula, supportive campus cultures, and leadership-driven policies are discussed, supported by success stories and case studies. Concluding with a vision for a future shaped by intersectionality and technological inclusivity, this talk serves as a call to action for educators, policymakers, and industry leaders to collectively build a truly inclusive educational ecosystem.
Bio-sketch:
Rajesh Prasad is working as Principal at College of Engineering at Bharati Vidyapeeth Deemed University, Katraj, Pune. He has more than 28 years of academic and research experience. He is an active senior member of IEEE and a chartered engineer from IE. He is instrumental in developing the curriculum and contents. He is associated with several universities in different roles. He is Ph.D. in Computer Engineering. 07 research scholars have been awarded Ph.D. under his guidance. He has published more than 90 papers in international and national journals, with 01 international patent (grant), 04 patents (published), and 11 copyrights to his credit. His area of interest is in Text and Data Analysis, Speech Processing, etc. He has authored 10+ books and book chapters. He has been associated with industries for research collaborations. He is an active member of various professional societies (ISTE, IEEE, CSI, etc.). His biography was published by Marquis Publication USA in Sept 2009. He is service as Research Review committee members in renowed universities like Symbiosis International University, Savitribai Phule Pune University, Bharath University etc. He has reviewed and examined more than 10 PhD thesis and many MTech Thesis. He is also reviewer and technical committee member of various journals and conferences.
The proposed program includes:-
- 03 Plenary Sessions (~1.5 hours each)
- 04 Expert lectures (2 hours each
- 1 Hands-on Session(2 hours each)
- 1 Demo Session (2 hours )
Time / Date | Day 1
24/06/2025 |
Day 2
25/06/2025 |
Day 3
26/06/2025 |
|
8:30 – 10:30 | Registration | Process Optimization of Articulated Robot for Robotic Manufacturing System to Implement INDUSTRY 4.0
Speaker: Abdullah All Mamun Anik Plenary Talk-2 |
Inclusion and diversity in professional education
Speaker: Rajesh Shardanand Prasad Plenary Talk-3 |
|
10:30 – 12:30 | Gen AI and LLM in education
Speaker: Bhushan Garware Plenary Talk 1 |
Smart Automation using Gen AI and Emerging Technologies
Speaker: Arpita Soni |
Hands on Workshop on Topics Covered during the Summer School | |
12:30 – 13:30 | Lunch | |||
13:30 – 15:30 | Topic:AI for affordable Energy -SDG Goal 7
Speaker:Dr. Parikshit Mahalle |
Topic: AI powered Data Driven Sustainable Industry Transformation
Speaker: Dr. Surekha R. Deshmukh |
Case Study Demo Session and Quiz | |
15:30 – 17:30 | Nature inspired Green Algorithms
Speaker: Dr. Nilesh Uke |
Poster Session | Closing Ceremony | |
18:30 – 19:30 | Dinner | Dinner/Banquet | ||
General Chair
Dr. P. B. Mane
Principal
Mobile: +91 94209 18444
Email: Principal@aissmsioit.org
Dr. R. B. Dhumale
Dean R & D
Mobile:+91 9763463366
Email: rakesh.dhumale@aissmsioit.org
Organizing Committee Members
Dr. M. A. Thalor
Head of Department(IT)
Mobile: +91 99236 02929
Email: itdept_hod@aissmsioit.org
Dr. M. K. Pathak
Assistant Professor
Mobile: +91 9421705871
Email: mrunal.pathak@aissmsioit.org
Course Fee Structure:
Participation fees is as follows:
Participants | Type | Mode | |||
Including 18% GST | |||||
Early Bird After Early Bird (i.e. Dec. 01, 2022 |
After Early Bird (i.e. June 10, 2025) |
||||
Online | Offline* | Online | Offline* | ||
From
Abroad |
Students, Academicians and Industry Personnel | US $15 | US $50 | US $20 | US $55 |
From
India |
Industry Personnel | INR 700 | INR 1500 | INR 1000 | INR 2000 |
Faculty/Research Scholar from Academic Institutes | INR 500 | INR 1000 | INR 750 | INR 1500 | |
Students from other Academic Institutes |
INR 200 | INR 500 | INR 300 | INR 750 | |
Faculty from AISSMS IOIT, Pune | INR 500 | INR 700 | INR 750 | INR 1000 | |
Students from AISSMS IOIT, Pune | INR 00 | INR 00 | INR 00 | INR 00 | |
Participants from other Academics Institutes of Pune |
INR 100 | INR 300 | INR 150 | INR 500 |
*Registration fee for offline mode includes all instructional materials, computer use for tutorials and assignments, tea and lunch (Excluding AISSMS IOIT Students) on all days.
The participants will be provided with accommodation on payment basis based on availability as per Institutes rules. GST needs to be paid.
Please carry a valid ID card during the program.
How to Register:
-
- Register for the course by paying the Registration Fee through NEFT as per the following details:
- After paying the Registration Fee, it is mandatory for the participants to register at the registration link.
https://forms.gle/xwW8G7EV6wMWXfBu8
- Seats are limited and will be available on a First Come First Served basis.
- It is compulsory for participants to be present in all sessions and submit all assignments in order to receive the certificate
Event Venue Address:
Department of Information Technology,
AISSMS Institute of Information Technology,
Kennedy Road, Near R.T.O., Pune – 411 001,
Maharashtra (INDIA).
Access from Major Transportation Hubs:
The approximate distances from AISSMS Institute of Information Technology in Pune to key transportation hubs:
- Pune Airport (Lohegaon): 12 km
- Mumbai Airport (Chhatrapati Shivaji Maharaj International Airport): 160 km
- Pune Railway Station: 3.5 km
- Pune Bus Stand (Shivajinagar Bus Stand): 4.5 km
- are approximate distances and may vary based on the route taken.
Accommodation Details:
Accommodation will be provided to participants from outside the city, based on the choice indicated in the registration form. Please note that accommodation will be allocated on a first-come, first-serve basis, subject to availability.
The co-funding of the IEEE CIS Summer School by the IEEE Computational Intelligence Society (IEEE CIS) will greatly enhance the education and dissemination of Computational Intelligence (CI), particularly in the context of AI for sustainable development. With IEEE CIS’s support, the event will feature cutting-edge research and practical applications of CI to address global challenges such as climate change and resource management. The involvement of IEEE CIS ensures high academic standards, attracting top international speakers and fostering collaboration. This will promote the integration of CI in both academia and industry, especially in sustainability-oriented fields.
The summer school will benefit a diverse range of participants, including faculty, research scholars, industry professionals, and students. Faculty will gain access to the latest advancements in CI and AI, enriching their teaching and research. Research scholars will be exposed to interdisciplinary approaches, expanding their research horizons in sustainability. Industry professionals will gain insights into deploying AI and CI to address real-world challenges, promoting innovation and collaboration. Students will learn from experts and gain hands-on experience, enhancing their academic and career prospects. IEEE CIS’s involvement will provide participants with access to a global network, fostering long-term engagement with CI and supporting career development.